TW201830346A - Abnormality detection device - Google Patents

Abnormality detection device Download PDF

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Publication number
TW201830346A
TW201830346A TW106142689A TW106142689A TW201830346A TW 201830346 A TW201830346 A TW 201830346A TW 106142689 A TW106142689 A TW 106142689A TW 106142689 A TW106142689 A TW 106142689A TW 201830346 A TW201830346 A TW 201830346A
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abnormality
abnormality determination
abnormal
processing
normal
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TW106142689A
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Chinese (zh)
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前橋耕生
藤目葉子
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日商山葉發動機股份有限公司
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62M—RIDER PROPULSION OF WHEELED VEHICLES OR SLEDGES; POWERED PROPULSION OF SLEDGES OR SINGLE-TRACK CYCLES; TRANSMISSIONS SPECIALLY ADAPTED FOR SUCH VEHICLES
    • B62M7/00—Motorcycles characterised by position of motor or engine
    • B62M7/02—Motorcycles characterised by position of motor or engine with engine between front and rear wheels
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D45/00—Electrical control not provided for in groups F02D41/00 - F02D43/00

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • General Engineering & Computer Science (AREA)
  • Transportation (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)

Abstract

The purpose of the present invention is to improve the reliability of detection of abnormalities in an engine unit mounted to a vehicle, while reducing the capacity of storage areas in an abnormality detection device. This abnormality detection device (40) is provided with a processor (32) which executes the following types of processing: parameter acquisition processing (S21) for acquiring parameters related to the state of a vehicle 1 which are detected by a parameter detection device (21); abnormality determination processing (S22) and normal operation determination processing (S24) for determining abnormalities or normal operation of a plurality of abnormality determination items for determining abnormalities in an engine unit (20); abnormality storage processing (S23) for storing, in an abnormality storage area (48), abnormality determination results for the abnormality determination items determined as being abnormal; abnormality determination item selection processing (S25) for selecting abnormality determination items from among the abnormality determination items for which the abnormality determination results have been stored; counter storage processing (S26) for storing, in a counter storage area (49), the number of normal operation determinations for the selected abnormality determination items; and abnormality deletion processing (S27) in which the abnormality determination results of the selected abnormality determination items for which the number of normal operation determinations has reached a prescribed number are deleted, and the number of normal operation determinations is initialized.

Description

異常檢測裝置Abnormality detecting device

本發明係關於一種檢測搭載於車輛之引擎單元之異常之異常檢測裝置。The present invention relates to an abnormality detecting device for detecting an abnormality of an engine unit mounted on a vehicle.

先前，搭載於車輛之引擎單元具備檢測被引擎單元吸入之空氣之溫度之進氣溫度感測器或檢測車速之車速感測器等複數個感測器。又，先前，有檢測包含此種複數個感測器之異常之引擎單元之異常的異常檢測裝置。 例如，專利文獻1中所記載之異常檢測裝置係基於車輛之狀態而檢測搭載於車輛之引擎單元之複數種異常。而且，專利文獻1之異常檢測裝置具有記憶區域，該記憶區域記憶針對用以判定引擎單元之異常之複數個異常判定項目判定為存在異常之結果。 [先前技術文獻] [專利文獻] [專利文獻1]日本專利第5350521號公報Previously, the engine unit mounted on the vehicle includes a plurality of sensors such as an intake air temperature sensor that detects the temperature of the air taken in by the engine unit or a vehicle speed sensor that detects the vehicle speed. Further, previously, there has been an abnormality detecting device that detects an abnormality of an engine unit including an abnormality of such a plurality of sensors. For example, the abnormality detecting device described in Patent Document 1 detects a plurality of types of abnormalities of the engine unit mounted on the vehicle based on the state of the vehicle. Further, the abnormality detecting device of Patent Document 1 has a memory area that stores a result of determining that there is an abnormality for a plurality of abnormality determination items for determining an abnormality of the engine unit. [Prior Art Document] [Patent Document] [Patent Document 1] Japanese Patent No. 5350521

[發明所欲解決之問題] 異常檢測裝置被要求提高異常之檢測之可靠性。而且，於專利文獻1之異常檢測裝置之記憶區域，記憶有作為針對異常判定項目判定為存在異常之結果之異常判定結果及發生次數。然而，已知於使用專利文獻1之異常檢測裝置之情形時，有異常之檢測之可靠性不充分之情況。又，專利文獻1之異常檢測裝置需要用以針對複數個異常判定項目記憶與異常判定項目為相同數量之異常判定結果及發生次數之記憶區域。因此，需要大容量之記憶區域。 本發明之目的在於提供一種異常檢測裝置，其係檢測搭載於車輛之引擎單元之異常者，可減少記憶區域之容量，且提高引擎單元之異常之檢測之可靠性。 [解決問題之技術手段] 本案發明者對用於利用異常檢測方法裝置判定引擎單元之異常之複數個異常判定項目進行了研究。異常判定項目例如有引擎單元所具有之配線之斷線等異常判定項目、或引擎單元所具有之感測器之檢測精度之降低等異常判定項目。 於感測器產生劣化或故障等異常之情形時，感測器之檢測精度降低。又，引擎單元所具有之感測器之檢測精度容易根據搭載有引擎單元之車輛之周邊環境而變化。因此，有即便感測器無異常，檢測精度亦降低之情形。因此，關於引擎單元所具有之感測器之檢測精度之降低等異常判定項目，有即便實際上並非異常，但仍誤檢測出異常之情形。因此，為提高異常之檢測之可靠性，要求驗證異常檢測裝置針對異常判定項目判定為存在異常之結果是否為誤檢測。為提高異常之檢測之可靠性，較佳為針對引擎單元之複數個異常判定項目之各者驗證異常之檢測之可靠性。為此，針對由異常檢測裝置判定為存在異常之異常判定項目，判定正常。又，設置將經判定為正常的次數進行計數並記憶之計數器。而且，較佳為驗證異常檢測裝置針對異常判定項目判定為存在異常之結果是否為誤檢測。為此，較佳為針對複數個異常判定項目，具有與異常判定項目為相同數量之計數器。然而，若考慮異常檢測裝置所具有之記憶區域之容量，則以計數器之數量較少為佳。 又，若將複數個異常判定項目進行驗證，則可知關於複數個異常判定項目同時發生異常之可能性較低。因此，本案發明者等人注意到，即便當異常檢測裝置僅具有數量少於用以判定引擎單元之異常之複數個異常判定項目之數量的計數器時，亦可提高引擎單元之異常之檢測之可靠性。 (1)根據本發明之一形態，異常檢測裝置之特徵在於具有複數個參數檢測裝置、處理器、及記憶裝置，且搭載於車輛，上述複數個參數檢測裝置係檢測與上述車輛之狀態相關之複數個參數，上述處理器構成為或被編程為執行如下處理：(a)參數獲取處理，其係獲取利用上述複數個參數檢測裝置所檢測出之複數個參數；(b)異常判定處理，其係針對用以判定搭載於上述車輛之引擎單元之異常之複數個異常判定項目，基於利用上述參數獲取處理所獲取之上述複數個參數中之至少1個參數而判定異常；(c)異常記憶處理，其係將於上述異常判定處理中針對至少1個上述異常判定項目判定為存在異常之結果作為異常判定結果而記憶於異常記憶區域；(d)正常判定處理，其係針對在上述異常記憶區域中記憶有上述異常判定結果之上述異常判定項目，基於利用上述參數獲取處理所獲取之上述複數個參數中之至少1個參數而判定正常；(e)異常判定項目選擇處理，其係自於上述異常記憶區域記憶有上述異常判定結果之上述異常判定項目之中，選擇數量少於上述異常判定項目之總數的異常判定項目作為選擇異常判定項目；(f)計數器記憶處理，其係針對由上述異常判定項目選擇處理所選擇出之上述選擇異常判定項目，將上述正常判定處理判定為正常之次數進行計數，並將計數所得之上述次數作為正常判定數而記憶於計數器記憶區域；及(g)異常抹除處理，其係於上述選擇異常判定項目之上述正常判定數達到特定次數時，將上述選擇正常判定數達到特定次數之上述異常判定項目之上述異常判定結果自上述異常記憶區域抹除，並且將上述正常判定數達到特定次數之上述選擇異常判定項目之記憶於上述計數器記憶區域之上述正常判定數初始化。 根據該構成，異常檢測裝置搭載於車輛。異常檢測裝置具有複數個參數檢測裝置、處理器及記憶裝置。複數個參數檢測裝置檢測與車輛之狀態相關之複數個參數。處理器構成為或被編程為執行參數獲取處理、異常判定處理、異常記憶處理、正常判定處理、異常判定項目選擇處理、計數器記憶處理、及異常抹除處理。記憶裝置包含異常記憶區域及計數器記憶區域。於參數獲取處理中，獲取利用複數個參數檢測裝置所檢測出之複數個參數。引擎單元包含引擎本體、排氣系統、進氣系統及變速機。排氣系統、進氣系統及變速機連接於引擎本體。參數檢測裝置除包括車速感測器、引擎轉速感測器、冷卻水溫度感測器、進氣溫度感測器、節流閥位置感測器、進氣壓力感測器、氧感測器、齒輪位置感測器、外部氣溫感測器等以外，亦包括檢測與包含引擎單元之車輛之狀態相關之複數個參數的各種感測器。異常判定處理係針對用以判定引擎單元之異常之複數個異常判定項目，基於利用參數獲取處理所獲取之複數個參數中之至少1個參數而判定異常。異常判定項目除包括引擎單元所具有之引擎本體、排氣系統、進氣系統、或變速機之異常以外，亦包括用於在參數獲取處理中判定異常之異常判定項目。異常記憶處理係將於異常判定處理中針對至少1個異常判定項目判定為存在異常之結果作為異常判定結果而記憶於異常記憶區域。正常判定處理係針對在異常記憶區域中記憶有異常判定結果之異常判定項目，基於利用參數獲取處理所獲取之複數個參數中之至少1個參數而判定正常。於異常判定項目選擇處理中，自於異常記憶區域中記憶有異常判定結果之異常判定項目之中，選擇數量少於異常判定項目之總數的異常判定項目作為選擇異常判定項目。計數器記憶處理係針對利用異常判定項目選擇處理所選擇出之選擇異常判定項目，將正常判定處理中判定為正常之次數進行計數。又，計數器記憶處理係將計數所得之次數作為正常判定數而記憶於計數器記憶區域。即，計數器記憶區域中所記憶之正常判定數之數量為利用異常判定項目選擇處理所選擇出之選擇異常判定項目之數量，且為少於異常判定項目之總數之數量。藉此，可減少異常檢測裝置所具有之記憶區域之容量。異常抹除處理係將正常判定數達到特定次數之選擇異常判定項目之異常判定結果自異常記憶區域抹除。特定次數係被預先設定。又，異常抹除處理係將正常判定數達到特定次數之選擇異常判定項目之記憶於計數器記憶區域之正常判定數初始化。即，異常抹除處理係針對正常判定數達到特定次數之選擇異常判定項目，判定異常判定處理所判定之異常為誤檢測。而且，異常抹除處理係將正常判定數達到特定次數之選擇異常判定項目之異常判定結果自異常記憶區域刪除。又，異常抹除處理係將正常判定數達到特定次數之選擇異常判定項目之記憶於計數器記憶區域之正常判定數初始化。藉此，異常抹除處理可驗證引擎單元之異常之檢測之可靠性。因此，本發明之異常檢測裝置可減少記憶區域之容量，且提高引擎單元之異常之檢測之可靠性。(2)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(1)之構成以外，亦具有以下構成。於上述異常檢測裝置中，上述正常判定處理係針對利用上述異常判定項目選擇處理所選擇出之上述選擇異常判定項目，基於利用上述參數獲取處理所獲取之上述複數個參數中之至少1個參數而判定正常。根據該構成，正常判定處理係針對利用異常判定項目選擇處理所選擇出之選擇異常判定項目，判定正常。正常判定處理係基於利用參數獲取處理所獲取之複數個參數中之至少1個參數而判定正常。此處，正常判定處理判定正常之異常判定項目限定於利用異常判定項目選擇處理所選擇出之選擇異常判定項目。即，正常判定處理判定與由異常判定處理判定為存在異常之異常判定項目相同或較少之異常判定項目的正常。藉此，異常抹除處理可簡單地驗證引擎單元之異常之檢測之可靠性。 (3)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(1)或(2)之構成以外，亦具有以下構成。 於上述異常檢測裝置中，上述異常判定項目選擇處理係於利用上述異常抹除處理自上述異常記憶區域抹除上述正常判定數達到特定次數之上述異常判定項目之異常判定結果時，自於上述異常記憶區域記憶有上述異常判定結果之上述異常判定項目之中重新選擇上述選擇異常判定項目。 根據該構成，異常判定項目選擇處理係於以下之時間點，自於異常記憶區域中記憶有異常判定結果之異常判定項目之中，重新選擇出選擇異常判定項目。該時間點為異常抹除處理自異常記憶區域中抹除正常判定數達到特定次數之選擇異常判定項目之異常判定結果時。此時，成為計數器記憶處理對正常判定數進行計數之對象之選擇異常判定項目消失。然後，重新選擇成為計數器記憶處理對正常判定數進行計數之對象之選擇異常判定項目。藉此，計數器記憶處理可驗證針對重新選擇出之選擇異常判定項目之異常之檢測的可靠性。因此，本發明之異常檢測裝置可提高引擎單元之異常之檢測之可靠性。 (4)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(1)至(3)中任一項之構成以外，亦具有以下構成。 於上述異常檢測裝置中，上述計數器記憶處理係於利用上述異常判定項目選擇處理所選擇出之上述選擇異常判定項目由上述異常判定處理判定為存在異常時，將經判定為存在上述異常之上述選擇異常判定項目之記憶於上述計數器記憶區域之上述正常判定數初始化。 根據該構成，計數器記憶處理係於利用異常判定項目選擇處理所選擇出之選擇異常判定項目由異常判定處理判定為存在異常時，將經判定為存在異常之選擇異常判定項目之記憶於計數器記憶區域之正常判定數初始化。關於由異常判定處理判定為存在異常之選擇異常判定項目，所檢測出之異常為誤檢測之可能性較低。因此，將記憶於計數器記憶區域之正常判定數初始化，並重新對正常判定數進行計數。因此，本發明之異常檢測裝置可提高引擎單元之異常之檢測之可靠性。 (5)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(1)至(4)中任一項之構成以外，亦具有以下構成。 於上述異常檢測裝置中，可記憶於上述異常記憶區域之上述異常判定結果之數量少於上述異常判定項目之總數。根據該構成，可記憶於異常記憶區域之異常判定結果之數量少於異常判定項目之總數。此處，可記憶於異常記憶區域之異常判定結果之數量多於可利用異常判定項目選擇處理進行選擇之選擇異常判定項目之數量。藉此，可減少異常記憶區域之容量。因此，本發明之異常檢測裝置可減少記憶區域之容量，且提高引擎單元之異常之檢測之可靠性。 (6)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(1)至(5)中任一項之構成以外，亦具有以下構成。 於上述異常檢測裝置中，上述異常記憶處理係於將上述異常判定結果記憶於上述異常記憶區域時，對上述異常判定結果設定優先級，上述異常判定項目選擇處理係按照上述異常判定結果之上述優先級由高至低之順序選擇上述異常判定項目。 根據該構成，異常記憶處理係於將異常判定結果記憶於異常記憶區域時，對異常判定結果設定優先級。異常判定項目選擇處理係自被判定優先級較高之異常判定結果之異常判定項目中依序選擇異常判定項目。因此，本發明之異常檢測裝置可提高引擎單元之異常之檢測之可靠性。 (7)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(6)構成以外，亦具有以下構成。 於上述異常檢測裝置中，上述異常記憶處理係於利用上述異常判定項目選擇處理所選擇出之上述選擇異常判定項目由上述異常判定處理判定為存在異常時，將經判定為存在上述異常之上述選擇異常判定項目之上述異常判定結果的優先級設定為低於記憶在上述異常記憶區域之其他上述異常判定結果之優先級。 根據該構成，異常記憶處理係於利用異常判定項目選擇處理所選擇出之選擇異常判定項目由異常判定處理判定為存在異常時，以如下方式設定經判定為存在異常之選擇異常判定項目之異常判定結果之優先級。異常記憶處理係將經判定為存在異常之選擇異常判定項目之異常判定結果之優先級設定為低於記憶在異常記憶區域之其他異常判定結果之優先級。關於由異常判定處理判定為異常之選擇異常判定項目，所檢測出之異常為誤檢測之可能性較低。因此，於異常記憶處理中，將所檢測出之異常為誤檢測之可能性較低之選擇異常判定項目之優先級以變低之方式進行設定。藉此，可使異常判定項目選擇處理不選擇所檢測出之異常為誤檢測之可能性較低之異常判定項目。因此，本發明之異常檢測裝置可提高引擎單元之異常之檢測之可靠性。 (8)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(6)或(7)之構成以外，亦具有以下構成。 於上述異常檢測裝置中，上述異常記憶處理係將新記憶於上述異常記憶區域之上述異常判定結果之優先級設定為低於已記憶在上述異常記憶區域之上述異常判定結果之優先級。 根據該構成，異常記憶處理係於在異常記憶區域已記憶有異常判定結果時，以如下方式進行處理。異常記憶處理係將新記憶於異常記憶區域之異常判定結果之優先級以低於已記憶在異常記憶區域之異常判定結果之優先級之方式進行設定。藉此，針對在異常記憶區域已記憶有異常判定結果之異常判定項目，可先於由異常判定處理新判定為異常之異常判定項目而驗證異常之檢測之可靠性。因此，本發明之異常檢測裝置可高效率地驗證引擎單元之異常之檢測之可靠性。 (9)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(6)至(8)中任一項之構成以外，亦具有以下構成。 於上述異常檢測裝置中，上述異常記憶處理係藉由將表示由上述異常判定處理判定為存在異常之上述異常判定項目之異常碼記憶於上述異常記憶區域，而將上述異常判定結果記憶於上述異常記憶區域，上述異常記憶區域具有複數個個別區域，該複數個個別區域可分別儲存上述異常碼，且連續地設定有上述優先級，上述異常記憶處理係藉由將上述異常碼儲存於上述個別區域，而對上述異常碼設定上述優先級。 根據該構成，異常記憶處理係藉由將表示由異常判定處理判定為存在異常之異常判定項目之異常碼記憶於異常記憶區域，而將異常判定結果記憶於異常記憶區域。又，異常記憶區域具有可分別儲存複數個異常碼之複數個個別區域。又，異常記憶區域係連續地設定有優先級之複數個個別區域。異常記憶處理係藉由將異常碼儲存於個別區域，而對異常碼設定優先級。而且，異常判定項目選擇處理可容易地選擇所檢測出之異常為誤檢測之可能性較高之異常判定項目作為選擇異常判定項目。因此，本發明之異常檢測裝置可高效率地驗證引擎單元之異常之檢測之可靠性。 (10)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(9)之構成以外，亦具有以下構成。 於上述異常檢測裝置中，上述異常記憶處理係於上述複數個個別區域中之至少1個為未儲存有上述異常碼之空閒個別區域時，且於上述優先級較上述空閒個別區域低之上述個別區域儲存有上述異常碼時，將儲存於上述優先級較上述空閒個別區域低之上述個別區域之上述異常碼移動並儲存至上述空閒個別區域。 根據該構成，異常記憶處理係於以下之2個時間點，將儲存於優先級較空閒個別區域低之個別區域之異常碼移動並儲存至空閒個別區域。第1個時間點係於複數個個別區域中之至少1個為未儲存有異常碼之空閒個別區域時。第2個時間點係於優先級較空閒個別區域低之個別區域儲存有異常碼時。此處，空閒個別區域為未儲存有異常碼之個別區域。即，異常記憶處理能夠以消除空閒個別區域之方式將異常碼自異常記憶區域內之優先級較高之個別區域儲存至優先級較低之個別區域。因此，異常判定項目選擇處理可自形成於異常記憶區域內之優先級較高之個別區域，依序容易地選擇異常碼所示之異常判定項目作為選擇異常判定項目。因此，本發明之異常檢測裝置可高效率地驗證引擎單元之異常之檢測之可靠性。 (11)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(1)至(10)中任一項之構成以外，亦具有以下構成。 於上述異常檢測裝置中，進而使上述處理器執行如下處理：(h)報告指令處理，其係於在上述異常記憶區域儲存有至少1個上述異常判定結果之情形時，對上述車輛所具有之報告機構發送使其報告已判定出上述異常判定結果之上述異常判定項目之異常或上述引擎單元之異常的信號。 根據該構成，異常檢測裝置進而使處理器執行報告指令處理。報告指令處理係於在異常記憶區域記憶有至少1個異常判定結果之情形時，對報告機構發送信號。報告機構為車輛所具有。信號係報告已判定出異常判定結果之異常判定項目或引擎單元存在異常之信號。藉此，駕駛者可辨識已判定出異常判定結果之異常判定項目或引擎單元產生異常。 (12)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(1)至(11)中任一項之構成以外，亦具有以下構成。 於上述異常檢測裝置中，進而使上述處理器執行如下處理：(i)輸出處理，其係於在上述異常記憶區域儲存有至少1個上述異常判定結果之情形時，將已判定出上述異常判定結果之上述異常判定項目之異常輸出至控制上述引擎單元之控制裝置。 根據該構成，異常檢測裝置進而使處理器執行輸出處理。輸出處理係於在異常記憶區域儲存有至少1個異常判定結果之情形時，將異常判定項目之異常輸出至控制引擎單元之控制裝置。藉此，控制裝置可根據異常判定項目之異常而控制引擎單元。 (13)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(1)至(12)中任一項之構成以外，亦具有以下構成。 於上述異常檢測裝置中，上述異常判定處理及上述正常判定處理係針對每一驅動週期(driving cycle)進行判定。 根據該構成，異常判定處理及正常判定處理係針對每一驅動週期進行判定。即，異常檢測裝置係針對每一驅動週期驗證異常之檢測之可靠性。因此，本發明之異常檢測裝置可提高引擎單元之異常之檢測之可靠性。 (14)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(13)之構成以外，亦具有以下構成。 於上述異常檢測裝置中，上述驅動週期係自將主開關操作為接通以對上述引擎單元供給電力至將上述主開關操作為斷開以停止對上述引擎單元供給電力為止的期間。 根據該構成，驅動週期係自將主開關操作為接通以對引擎單元供給電力至將主開關操作為斷開以停止對引擎單元供給電力為止的期間。而且，異常檢測裝置係針對每一驅動週期進行異常判定處理及正常判定處理之判定。即，異常檢測裝置係針對每一驅動週期驗證異常之檢測之可靠性。因此，本發明之異常檢測裝置可提高引擎單元之異常之檢測之可靠性。 (15)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(1)至(14)中任一項之構成以外，亦具有以下構成。 於上述異常檢測裝置中，上述車輛係將上述引擎單元配置於較座部之上端更靠下方之跨坐型車輛。 根據該構成，車輛為跨坐型車輛。跨坐型車輛之引擎單元配置於較座部之上端更靠下方。所謂跨坐型車輛係指騎乘者以如跨坐於鞍部之狀態乘坐之所有車輛。跨坐型車輛包括機車(包含速克達)、三輪車、水上機車、雪上摩托車等。跨坐型車輛與其他車輛相比，車輛之大小較小。異常檢測裝置搭載於跨坐型車輛。因此，跨坐型車輛與其他車輛相比，異常檢測裝置之大小變小。即，跨坐型車輛與其他車輛相比，難以確保較大之記憶區域。因此，跨坐型車輛適於搭載可減少記憶區域之容量之本發明之異常檢測裝置。 (16)根據本發明之另一形態，本發明之異常檢測裝置較佳為除具有上述(1)至(15)中任一項之構成以外，亦具有以下構成。 於上述異常檢測裝置中，上述計數器記憶區域中所記憶之正常判定數之數量較佳為1個。 根據該構成，計數器記憶區域中所記憶之正常判定數之數量為1個。即，計數器記憶區域中所需之容量成為僅1個正常判定數之容量。藉此，計數器記憶區域可減少異常檢測裝置所具有之記憶區域之容量。因此，本發明之異常檢測裝置可減少記憶區域之容量，且提高引擎單元之異常之檢測之可靠性。 ＜處理器之定義＞ 於本發明中，「處理器」包含微控制器、CPU(Central Processing Unit，中央處理單元)、GPU(Graphics Processing Unit，圖形處理單元)、微處理器、特殊應用積體電路(ASIC)、可程式邏輯電路(PLC)、場可程式化閘陣列(FPGA)及可執行本發明中所記載之處理之任意其他電路。 ＜記憶裝置之定義＞ 於本發明中，「記憶裝置(Storage Device)」係記憶各種資料之裝置，例如包含ROM(Read Only Memory，唯讀記憶體)、RAM(Random Access Memory，隨機存取記憶體)、及硬碟。RAM例如於處理器執行程式時暫時地記憶各種資料。又，ROM例如記憶有使處理器執行之程式。 ＜其他定義＞ 於本說明書中，所謂某零件之端部，意指將零件之端部與其附近部合併而得之部分。 於本發明中，排列於X方向之A與B表示以下狀態。於自與X方向垂直之方向觀察A與B時，為A與B之兩者配置於表示X方向之任意直線上之狀態。於本發明中，自Y方向觀察，排列於X方向之A與B表示以下狀態。於自Y方向觀察A與B時，為A與B之兩者配置於表示X方向之任意直線上之狀態。於此情形時，若自與Y方向不同之W方向觀察A與B，則亦可為A與B中之任一者未配置於表示X方向之任意直線上之狀態。再者，A與B可接觸。A與B亦可分離。A與B之間還可存在C。 於本說明書中，所謂A配置於較B更靠前方係指以下狀態。A配置於通過B之最前端且與前後方向正交之平面之前方。於此情形時，A與B既可沿著前後方向排列，亦可不沿著前後方向排列。該定義亦可應用除前後方向以外之方向。 於本說明書中，所謂A配置於B之前方係指以下狀態。A與B排列於前後方向，且A之與B對向之部分配置於B之前方。於該定義中，於B之前表面中之與A對向之部分為B之最前端之情形時，A配置於較B更靠前方。於該定義中，於B之前表面中之與A對向之部分並非B之最前端之情形時，A既可配置於較B更靠前方，亦可不配置於較B更靠前方。該定義亦可應用除前後方向以外之方向。再者，所謂B之前表面係指於自前方觀察B時可見之面。根據B之形狀，所謂B之前表面並非連續之1個面，有時包含複數個面。 於本說明書中，於左右方向上觀察，所謂A配置於B之前方係指以下狀態。於左右方向上觀察，A與B排列於前後方向，且，於左右方向上觀察，A之與B對向之部分配置於B之前方。於該定義中，就三維而言，A與B亦可不排列於前後方向。該定義亦可應用除前後方向以外之方向。 本說明書中所使用之專業用語僅為了定義特定之實施例，而不具有限制發明之意圖。本說明書中所使用之用語「及/或」包含一個或複數個相關之所列舉之所有構成物或全部組合。 於在本說明書中使用之情形時，用語「包含、具備(including)」「包含、具備(comprising)」或「具有(having)」及其變化之使用特定出所記載之特徵、製程、操作、要素、成分及/或其等之等效物之存在，可包含步驟(step)、動作、要素、組件、及/或其等之群中之1個或複數個。於在本說明書中使用之情形時，用語「被安裝」、「被連接」、「被結合」及/或其等之等效物被廣泛地使用，包含直接及間接之安裝、連接及結合之兩者。進而，「被連接」及「被結合」並不限定於物理或機械性之連接或結合，可包含直接或間接之電性連接或結合。 只要未被另外定義，則本說明書中所使用之全部用語(包含技術用語及科學用語)具有與本發明所屬領域之技術人員通常所理解之含義相同之含義。如由通常所使用之辭典定義之用語般之用語應解釋為具有與相關技術及本揭示內容之上下文中之含義一致之含義，只要於本說明書未被明確地定義，則無需以理想化或過度形式化之含義加以解釋。於本發明之說明中，理解為揭示有技術及製程之數量。該等各者具有個別之權益，亦可分別與其他所揭示之1個以上之技術一起使用，或視情況與其他所揭示之全部技術一起使用。因此，為了明確說明，本說明將減少不必要地重複各個步驟之所有可能之組合。儘管如此，應理解說明書及申請專利範圍之此種組合全部處於本發明及技術方案之範圍內而進行解讀。 於本說明書中，「較佳為」之用語為非排他性者。「較佳為」係指「較佳為…，但並不限定於此」。於本說明書中，記載為「較佳為」之構成至少發揮藉由上述(1)之構成而獲得之上述效果。又，於本說明書中，「亦可為」之用語為非排他性者。「亦可為」係指「亦可為…，但並不限定於此」。本說明書中，記載為「亦可為」之構成至少發揮藉由上述(1)之構成而獲得之上述效果。 於以下之說明中，為了進行說明，敍述多個具體之詳情以便提供本發明之完整之理解。然而，業者明白在並無該等特定之詳情的情況下，亦可實施本發明。本揭示內容應被考慮作為本發明之例示，而並非意圖將本發明限定於以下之圖式或說明所示之特定之實施形態。 [發明之效果] 根據本發明，可提供一種異常檢測裝置，其檢測搭載於車輛之引擎單元之異常，可減少記憶區域之容量，且提高引擎單元之異常之檢測之可靠性。[Problem to be Solved by the Invention] The abnormality detecting device is required to improve the reliability of the detection of the abnormality. Further, in the memory area of the abnormality detecting device of Patent Document 1, an abnormality determination result and the number of occurrences as a result of the abnormality determination item being determined as an abnormality are stored. However, when the abnormality detecting device of Patent Document 1 is used, there is a case where the reliability of the abnormality detection is insufficient. Further, the abnormality detecting device of Patent Document 1 requires a memory region for the same number of abnormality determination results and the number of occurrences for the plurality of abnormality determination item memories and abnormality determination items. Therefore, a large-capacity memory area is required. An object of the present invention is to provide an abnormality detecting device that detects an abnormality of an engine unit mounted on a vehicle, thereby reducing the capacity of the memory area and improving the reliability of detecting an abnormality of the engine unit. [Technical means for solving the problem] The inventors of the present invention studied a plurality of abnormality determination items for determining an abnormality of an engine unit by the abnormality detecting method device. The abnormality determination item includes, for example, an abnormality determination item such as a disconnection of the wiring of the engine unit, or an abnormality determination item such as a decrease in the detection accuracy of the sensor included in the engine unit. When the sensor generates an abnormality such as deterioration or malfunction, the detection accuracy of the sensor is lowered. Moreover, the detection accuracy of the sensor included in the engine unit is easily changed depending on the surrounding environment of the vehicle in which the engine unit is mounted. Therefore, there is a case where the detection accuracy is lowered even if the sensor is not abnormal. Therefore, there is a case where an abnormality determination item such as a decrease in the detection accuracy of the sensor included in the engine unit is abnormally detected, but the abnormality is detected erroneously. Therefore, in order to improve the reliability of the detection of the abnormality, it is required that the verification abnormality detecting means determines whether the abnormality determination item is abnormal or not. In order to improve the reliability of the abnormality detection, it is preferable to verify the reliability of the detection of the abnormality for each of the plurality of abnormality determination items of the engine unit. For this reason, it is determined that the abnormality determination item determined to be abnormal by the abnormality detecting means is normal. Further, a counter that counts and memorizes the number of times determined to be normal is set. Further, it is preferable that the verification abnormality detecting means determines whether or not the result of the abnormality is abnormal for the abnormality determination item. For this reason, it is preferable to have a counter of the same number as the abnormality determination item for a plurality of abnormality determination items. However, in consideration of the capacity of the memory area of the abnormality detecting device, the number of counters is preferably small. Further, when a plurality of abnormality determination items are verified, it is understood that there is a low possibility that an abnormality is simultaneously caused by a plurality of abnormality determination items. Therefore, the inventors of the present invention have noticed that the detection of the abnormality of the engine unit can be improved even when the abnormality detecting device has only a counter having a smaller number than the number of the plurality of abnormality determining items for determining the abnormality of the engine unit. Sex. (1) According to an aspect of the present invention, an abnormality detecting device includes a plurality of parameter detecting devices, a processor, and a memory device, and is mounted on a vehicle, and the plurality of parameter detecting devices detect a state related to the state of the vehicle. a plurality of parameters, the processor being configured or programmed to perform processing of: (a) parameter acquisition processing for acquiring a plurality of parameters detected by the plurality of parameter detecting means; (b) abnormality determining processing For determining a plurality of abnormality determination items for determining an abnormality of an engine unit mounted on the vehicle, determining an abnormality based on at least one of the plurality of parameters acquired by the parameter acquisition processing; (c) abnormal memory processing In the abnormality determination process, the result of determining that there is an abnormality in at least one of the abnormality determination items is stored in the abnormal memory region as a result of the abnormality determination; (d) the normal determination process is directed to the abnormal memory region. The abnormality determination item in which the abnormality determination result is memorized is obtained based on the use of the above parameter (a) an abnormality determination item selection process is selected from among the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area, and is selected as the normal value; The abnormality determination item whose number is less than the total number of the abnormality determination items is the selection abnormality determination item; (f) the counter memory processing for the above-described normal selection determination for the selected abnormality determination item selected by the abnormality determination item selection processing Counting the number of times the processing is determined to be normal, and storing the counted number of times as the normal number of judgments in the counter memory area; and (g) the abnormal erasing process, wherein the number of normal judgments of the selected abnormality determining item is reached In a specific number of times, the abnormality determination result of the abnormality determination item whose number of selection normal determinations is a predetermined number of times is erased from the abnormal memory area, and the selection abnormality determination item in which the normal determination number reaches a certain number of times is stored in the above-mentioned The above normal judgment of the counter memory area Initialization. According to this configuration, the abnormality detecting device is mounted on the vehicle. The abnormality detecting device has a plurality of parameter detecting devices, a processor, and a memory device. A plurality of parameter detecting means detects a plurality of parameters related to the state of the vehicle. The processor is configured or programmed to perform parameter acquisition processing, abnormality determination processing, abnormal memory processing, normal determination processing, abnormality determination item selection processing, counter memory processing, and abnormal erasing processing. The memory device includes an abnormal memory area and a counter memory area. In the parameter acquisition process, a plurality of parameters detected by the plurality of parameter detecting devices are obtained. The engine unit includes an engine body, an exhaust system, an intake system, and a shifting machine. The exhaust system, the intake system, and the shifter are coupled to the engine body. The parameter detecting device includes a vehicle speed sensor, an engine speed sensor, a cooling water temperature sensor, an intake air temperature sensor, a throttle position sensor, an intake pressure sensor, an oxygen sensor, In addition to the gear position sensor, the external temperature sensor, and the like, various sensors that detect a plurality of parameters related to the state of the vehicle including the engine unit are also included. The abnormality determination process determines an abnormality based on at least one of a plurality of parameters acquired by the parameter acquisition process for a plurality of abnormality determination items for determining an abnormality of the engine unit. The abnormality determination item includes, in addition to the abnormality of the engine body, the exhaust system, the intake system, or the transmission of the engine unit, an abnormality determination item for determining an abnormality in the parameter acquisition processing. The abnormal memory processing system stores the result of the abnormality determination for at least one abnormality determination item in the abnormality determination processing as the abnormality determination result and stores it in the abnormal memory area. The normal determination processing determines that the abnormality determination item in which the abnormality determination result is stored in the abnormal memory region is normal based on at least one of the plurality of parameters acquired by the parameter acquisition processing. In the abnormality determination item selection processing, among the abnormality determination items in which the abnormality determination result is stored in the abnormality memory area, the abnormality determination item whose number is smaller than the total number of abnormality determination items is selected as the selection abnormality determination item. The counter memory processing counts the number of times the determination is determined to be normal in the normal determination processing for the selection abnormality determination item selected by the abnormality determination item selection processing. Further, the counter memory processing is stored in the counter memory area as the number of normal counts. That is, the number of normal determination numbers memorized in the counter memory area is the number of selection abnormality determination items selected by the abnormality determination item selection processing, and is less than the total number of abnormality determination items. Thereby, the capacity of the memory area of the abnormality detecting device can be reduced. The abnormal erasing processing erases the abnormality determination result of the selection abnormality determination item whose normal number of determinations reaches a certain number of times from the abnormal memory area. The specific number of times is set in advance. Further, the abnormal erasing processing initializes the normal determination number stored in the counter memory area of the selection abnormality determination item whose normal number of determinations reaches a certain number of times. In other words, the abnormal erasing processing determines that the abnormality determined by the abnormality determining process is an erroneous detection, for the selection abnormality determination item whose normal number of determinations has reached a certain number of times. Further, the abnormal erasing processing deletes the abnormality determination result of the selection abnormality determination item whose normal number of determinations reaches a certain number of times from the abnormal memory area. Further, the abnormal erasing processing initializes the normal determination number stored in the counter memory area of the selection abnormality determination item whose normal number of determinations reaches a certain number of times. Thereby, the abnormal erasing process can verify the reliability of the detection of the abnormality of the engine unit. Therefore, the abnormality detecting device of the present invention can reduce the capacity of the memory area and improve the reliability of the detection of the abnormality of the engine unit. (2) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of the above (1). In the abnormality detecting device, the normal determination processing is based on the selection abnormality determination item selected by the abnormality determination item selection processing, based on at least one of the plurality of parameters acquired by the parameter acquisition processing. The judgment is normal. According to this configuration, the normal determination processing determines that the abnormality determination item selected by the abnormality determination item selection processing is normal. The normal determination processing is determined to be normal based on at least one of the plurality of parameters acquired by the parameter acquisition processing. Here, the abnormality determination item in which the normal determination processing determines normal is limited to the selected abnormality determination item selected by the abnormality determination item selection processing. In other words, the normal determination process determines the normality of the abnormality determination item that is the same as or smaller than the abnormality determination item that is determined to be abnormal by the abnormality determination process. Thereby, the abnormal erasing process can simply verify the reliability of the detection of the abnormality of the engine unit. (3) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration (1) or (2). In the abnormality detecting device, the abnormality determination item selection processing is performed by the abnormality erasing process when the abnormality determination result of the abnormality determination item whose number of normal determinations reaches a predetermined number of times is erased from the abnormal memory area, The selection abnormality determination item is reselected among the abnormality determination items in which the memory area memory has the abnormality determination result described above. According to this configuration, the abnormality determination item selection processing reselects the selection abnormality determination item from among the abnormality determination items in which the abnormality determination result is stored in the abnormality memory area at the following time point. This time point is when the abnormality erasing process erases the abnormality determination result of the selection abnormality determination item whose normal number of determinations reaches a certain number of times from the abnormal memory area. At this time, the selection abnormality determination item that is the target of counting the number of normal determinations by the counter memory processing disappears. Then, the selection abnormality determination item which is the target of counting the number of normal determinations by the counter memory processing is reselected. Thereby, the counter memory processing can verify the reliability of the detection of the abnormality of the selected abnormality determination item. Therefore, the abnormality detecting device of the present invention can improve the reliability of the detection of the abnormality of the engine unit. (4) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of any one of the above (1) to (3). In the abnormality detecting device, the counter memory processing is determined to be the presence of the abnormality when the abnormality determination processing is determined by the abnormality determination processing by the abnormality determination processing. The abnormality determination item is initialized in the normal judgment number stored in the counter memory area. According to this configuration, the counter memory processing is based on the selection abnormality determination item selected by the abnormality determination item selection processing. When the abnormality determination processing determines that there is an abnormality, the selected abnormality determination item determined to be abnormal is stored in the counter memory area. The normal number of decisions is initialized. Regarding the selection abnormality determination item determined to be abnormal by the abnormality determination processing, the probability that the detected abnormality is erroneous detection is low. Therefore, the normal number of judgments memorized in the counter memory area is initialized, and the number of normal determinations is counted again. Therefore, the abnormality detecting device of the present invention can improve the reliability of the detection of the abnormality of the engine unit. (5) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of any one of the above (1) to (4). In the abnormality detecting device, the number of the abnormality determination results that can be stored in the abnormal memory region is less than the total number of the abnormality determination items. According to this configuration, the number of abnormality determination results that can be memorized in the abnormal memory region is less than the total number of abnormality determination items. Here, the number of abnormality determination results that can be memorized in the abnormal memory area is larger than the number of selected abnormality determination items that can be selected by the abnormality determination item selection processing. Thereby, the capacity of the abnormal memory area can be reduced. Therefore, the abnormality detecting device of the present invention can reduce the capacity of the memory area and improve the reliability of the detection of the abnormality of the engine unit. (6) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of any one of the above (1) to (5). In the abnormality detecting device, the abnormality memory processing is configured to set a priority to the abnormality determination result when the abnormality determination result is stored in the abnormality memory region, and the abnormality determination item selection processing is based on the priority of the abnormality determination result. The above abnormality determination items are selected in order of high to low. According to this configuration, the abnormal memory processing is to set the priority of the abnormality determination result when the abnormality determination result is stored in the abnormal memory region. The abnormality determination item selection processing sequentially selects the abnormality determination item from the abnormality determination item of the abnormality determination result having the higher priority. Therefore, the abnormality detecting device of the present invention can improve the reliability of the detection of the abnormality of the engine unit. (7) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration (6). In the above-described abnormality detecting device, when the abnormality determination processing item selected by the abnormality determination item selection processing is determined to be abnormal by the abnormality determination processing, the abnormality determination processing determines that the abnormality is present. The priority of the abnormality determination result of the abnormality determination item is set to be lower than the priority of the other abnormality determination result stored in the abnormal memory area. According to this configuration, when the abnormality determination process is determined by the abnormality determination process and the abnormality determination process is determined to be abnormal, the abnormality memory process sets the abnormality determination of the selection abnormality determination item determined to be abnormal. The priority of the result. The abnormal memory processing sets the priority of the abnormality determination result of the selection abnormality determination item determined to be abnormal to be lower than the priority of the other abnormality determination result stored in the abnormal memory area. Regarding the selection abnormality determination item determined to be abnormal by the abnormality determination processing, the detected abnormality is less likely to be erroneously detected. Therefore, in the abnormal memory processing, the priority of the selection abnormality determination item whose detection possibility is low in the possibility of erroneous detection is set to be lower. Thereby, the abnormality determination item selection processing can be made to select an abnormality determination item in which the detected abnormality is less likely to be erroneously detected. Therefore, the abnormality detecting device of the present invention can improve the reliability of the detection of the abnormality of the engine unit. (8) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of the above (6) or (7). In the abnormality detecting device, the abnormal memory processing system sets the priority of the abnormality determination result newly stored in the abnormal memory region to be lower than the priority of the abnormality determination result already stored in the abnormal memory region. According to this configuration, the abnormal memory processing is performed as follows when the abnormality determination result is already stored in the abnormal memory region. The abnormal memory processing system sets the priority of the abnormality determination result newly memorized in the abnormal memory area to be lower than the priority of the abnormality determination result stored in the abnormal memory area. As a result, the abnormality determination item in which the abnormality determination result is stored in the abnormal memory region can be used to verify the reliability of the abnormality detection before the abnormality determination item newly determined to be abnormal by the abnormality determination process. Therefore, the abnormality detecting device of the present invention can efficiently verify the reliability of the detection of the abnormality of the engine unit. (9) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of any one of the above (6) to (8). In the abnormality detecting device, the abnormality memory processing stores the abnormality determination result in the abnormal memory area by storing an abnormal code indicating the abnormality determination item that is determined to be abnormal by the abnormality determination processing, and stores the abnormality determination result in the abnormality. a memory area, wherein the abnormal memory area has a plurality of individual areas, wherein the plurality of individual areas can respectively store the abnormal code, and the priority is continuously set, wherein the abnormal memory processing is performed by storing the abnormal code in the individual area And setting the above priority to the above abnormal code. According to this configuration, the abnormality memory process stores the abnormality determination result in the abnormal memory area by storing the abnormal code indicating the abnormality determination item that is determined to be abnormal by the abnormality determination processing in the abnormal memory area. Further, the abnormal memory area has a plurality of individual areas in which a plurality of abnormal codes can be stored. Further, the abnormal memory area is continuously set with a plurality of individual areas having priorities. Abnormal memory processing prioritizes exception codes by storing exception codes in individual regions. Further, the abnormality determination item selection processing can easily select an abnormality determination item in which the detected abnormality is highly likely to be erroneously detected as the selection abnormality determination item. Therefore, the abnormality detecting device of the present invention can efficiently verify the reliability of the detection of the abnormality of the engine unit. (10) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of the above (9). In the abnormality detecting device, the abnormal memory processing is performed when at least one of the plurality of individual regions is an empty individual region in which the abnormality code is not stored, and the individual is lower in the priority than the free individual region. When the area stores the abnormal code, the abnormal code stored in the individual area having the lower priority than the free individual area is moved and stored in the free individual area. According to this configuration, the abnormality memory process moves and stores the abnormal code stored in the individual region having the lower priority than the free individual region to the idle individual region at the following two time points. The first time point is when at least one of the plurality of individual areas is an empty individual area in which the abnormal code is not stored. The second time point is when an abnormal code is stored in an individual area whose priority is lower than the free individual area. Here, the free individual area is an individual area in which the abnormal code is not stored. That is, the abnormal memory processing can store the abnormal code from the individual region having the higher priority in the abnormal memory region to the lower priority individual region in such a manner as to eliminate the idle individual region. Therefore, the abnormality determination item selection processing can easily select the abnormality determination item indicated by the abnormality code as the selection abnormality determination item from the individual areas formed in the abnormal memory area with higher priority. Therefore, the abnormality detecting device of the present invention can efficiently verify the reliability of the detection of the abnormality of the engine unit. (11) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of any one of the above (1) to (10). In the abnormality detecting device, the processor further performs a process of: (h) reporting command processing for the vehicle when the abnormality determination region is stored in the abnormal memory region. The reporting unit transmits a signal for causing the abnormality of the abnormality determination item or the abnormality of the engine unit to be determined by the abnormality determination result. According to this configuration, the abnormality detecting device further causes the processor to execute the report instruction processing. The report command processing is to send a signal to the reporting mechanism when there is at least one abnormality determination result in the abnormal memory area. The reporting organization is owned by the vehicle. The signal system reports that an abnormality determination item of the abnormality determination result or an abnormality of the engine unit is signaled. Thereby, the driver can recognize that the abnormality determination item or the engine unit that has determined the abnormality determination result has an abnormality. (12) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of any one of the above (1) to (11). In the above-described abnormality detecting device, the processor further performs processing of (i) output processing for determining that the abnormality determination is determined when at least one of the abnormality determination results is stored in the abnormal memory region. As a result, the abnormality of the abnormality determination item is output to the control device that controls the engine unit. According to this configuration, the abnormality detecting device further causes the processor to execute the output processing. The output processing is to output an abnormality of the abnormality determination item to the control device of the control engine unit when at least one abnormality determination result is stored in the abnormal memory area. Thereby, the control device can control the engine unit based on the abnormality of the abnormality determination item. (13) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of any one of the above (1) to (12). In the abnormality detecting device described above, the abnormality determining process and the normality determining process determine each driving cycle. According to this configuration, the abnormality determination process and the normality determination process are determined for each drive cycle. That is, the abnormality detecting device verifies the reliability of the detection of the abnormality for each driving cycle. Therefore, the abnormality detecting device of the present invention can improve the reliability of the detection of the abnormality of the engine unit. (14) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of the above (13). In the abnormality detecting device described above, the driving cycle is a period from when the main switch is turned on to supply power to the engine unit until the main switch is turned off to stop supplying power to the engine unit. According to this configuration, the drive cycle is a period from when the main switch is turned on to supply power to the engine unit until the main switch is turned off to stop supplying power to the engine unit. Further, the abnormality detecting device performs the determination of the abnormality determination process and the normal determination process for each drive cycle. That is, the abnormality detecting device verifies the reliability of the detection of the abnormality for each driving cycle. Therefore, the abnormality detecting device of the present invention can improve the reliability of the detection of the abnormality of the engine unit. (15) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of any one of the above (1) to (14). In the above-described abnormality detecting device, the vehicle unit is configured such that the engine unit is disposed in a straddle type vehicle that is located below the upper end of the seat portion. According to this configuration, the vehicle is a straddle type vehicle. The engine unit of the straddle type vehicle is disposed below the upper end of the seat. The so-called straddle type vehicle refers to all the vehicles that the rider rides in such a state as to sit on the saddle. The straddle type vehicles include locomotives (including speed skating), tricycles, water locomotives, and snowmobiles. A straddle type vehicle is smaller in size than other vehicles. The abnormality detecting device is mounted on a straddle type vehicle. Therefore, the size of the abnormality detecting device becomes smaller as compared with other vehicles in the straddle type vehicle. That is, it is difficult to ensure a large memory area compared to other vehicles in a straddle type vehicle. Therefore, the straddle type vehicle is adapted to be equipped with the abnormality detecting device of the present invention which can reduce the capacity of the memory area. (16) According to another aspect of the present invention, the abnormality detecting device of the present invention preferably has the following configuration in addition to the configuration of any one of the above (1) to (15). In the above abnormality detecting device, the number of normal determination numbers memorized in the counter memory area is preferably one. According to this configuration, the number of normal judgment numbers memorized in the counter memory area is one. That is, the capacity required in the counter memory area becomes the capacity of only one normal decision number. Thereby, the counter memory area can reduce the capacity of the memory area of the abnormality detecting device. Therefore, the abnormality detecting device of the present invention can reduce the capacity of the memory area and improve the reliability of the detection of the abnormality of the engine unit. <Definition of Processor> In the present invention, the "processor" includes a microcontroller, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a microprocessor, and a special application integrated body. An electrical circuit (ASIC), a programmable logic circuit (PLC), a field programmable gate array (FPGA), and any other circuitry that can perform the processes described in this disclosure. <Definition of Memory Device> In the present invention, a "memory device" is a device for storing various data, and includes, for example, a ROM (Read Only Memory) and a RAM (Random Access Memory). Body), and hard disk. The RAM temporarily stores various materials, for example, when the processor executes the program. Further, the ROM stores, for example, a program that is executed by the processor. <Other Definitions> In the present specification, the term "end portion" of a part means a portion obtained by combining the end portion of the part and the vicinity thereof. In the present invention, A and B arranged in the X direction indicate the following states. When A and B are observed from a direction perpendicular to the X direction, both A and B are placed on an arbitrary straight line indicating the X direction. In the present invention, A and B arranged in the X direction indicate the following state as viewed from the Y direction. When A and B are observed from the Y direction, both A and B are placed on an arbitrary straight line indicating the X direction. In this case, if A and B are observed from the W direction different from the Y direction, either A or B may not be placed on an arbitrary line indicating the X direction. Furthermore, A and B can be in contact. A and B can also be separated. There may also be C between A and B. In the present specification, the term "A" is placed on the front side in comparison with B. A is arranged in front of the plane passing through the front end of B and orthogonal to the front-rear direction. In this case, A and B may be arranged along the front-rear direction or not in the front-rear direction. This definition can also apply directions other than the front and rear directions. In the present specification, the term "A" is placed before B and refers to the following state. A and B are arranged in the front-rear direction, and A and B are arranged in front of B. In this definition, in the case where the portion opposite to A in the front surface of B is the front end of B, A is disposed further forward than B. In this definition, in the case where the portion opposite to A in the front surface of B is not the front end of B, A may be disposed further forward than B or may not be disposed further forward than B. This definition can also apply directions other than the front and rear directions. Furthermore, the surface before B refers to the surface that is visible when B is viewed from the front. According to the shape of B, the surface before B is not one continuous surface, and sometimes includes a plurality of surfaces. In the present specification, when viewed in the left-right direction, the state in which A is disposed before B refers to the following state. When viewed in the left-right direction, A and B are arranged in the front-rear direction, and when viewed in the left-right direction, the portion where A and B are opposed to each other is disposed in front of B. In this definition, in terms of three dimensions, A and B may not be arranged in the front-rear direction. This definition can also apply directions other than the front and rear directions. The terminology used in the specification is for the purpose of defining a particular embodiment, and is not intended to limit the invention. The term "and/or" used in the specification includes all or a combination of all or all of the listed items. As used in this specification, the terms "including, including," "comprising," "having," and "having" are used to describe the features, processes, operations, and elements. The presence of the components, and/or equivalents thereof, may include one or more of the group of steps, actions, elements, components, and/or the like. As used in this specification, the terms "installed," "connected," "coupled," and/or equivalents thereof are used broadly, including both direct and indirect installation, connection, and combination. Both. Furthermore, "connected" and "coupled" are not limited to physical or mechanical connections or combinations, and may include direct or indirect electrical connections or combinations. All terms (including technical terms and scientific terms) used in the specification have the same meaning as commonly understood by those skilled in the art to which the invention belongs, unless otherwise defined. Terms such as those defined by the commonly used dictionary should be interpreted as having meaning consistent with the meaning of the related art and the context of the present disclosure, as long as it is not explicitly defined in this specification, there is no need to idealize or excessive The meaning of formalization is explained. In the description of the present invention, it is understood that the number of techniques and processes are disclosed. Each of these individuals has an individual interest and may be used separately from one or more of the other disclosed technologies or, as appropriate, with all other disclosed technologies. Therefore, for clarity of explanation, the description will reduce unnecessary combinations of all possible steps of the various steps. Nevertheless, it should be understood that such combinations of the specification and claims are all within the scope of the invention and the invention. In this specification, the term "preferably" is non-exclusive. "Preferred" means "preferably, but is not limited thereto". In the present specification, the configuration described as "preferred" exhibits at least the above-described effects obtained by the configuration of the above (1). Also, in this specification, the term "may be" is non-exclusive. "Also" means "may be... but not limited to". In the present specification, the configuration described as "may be" exhibits at least the above-described effects obtained by the configuration of the above (1). In the following description, numerous specific details are set forth However, it is understood that the invention may be practiced without the specific details. The present disclosure is intended to be illustrative of the invention, and is not intended to [Effects of the Invention] According to the present invention, it is possible to provide an abnormality detecting device that detects an abnormality of an engine unit mounted on a vehicle, reduces the capacity of the memory area, and improves the reliability of detection of an abnormality of the engine unit.

以下，一面參照圖1之模式圖，一面對本發明之實施形態之異常檢測裝置40進行說明。本發明之實施形態之異常檢測裝置40檢測引擎單元20之異常。引擎單元20搭載於車輛1。異常檢測裝置40搭載於車輛1。於圖1中，車輛1係作為跨坐型車輛之機車。再者，車輛1並不限於跨坐型車輛或機車。 異常檢測裝置40具有複數個參數檢測裝置21、處理器32及記憶裝置47。處理器32構成為或被編程為執行參數獲取處理S21、異常判定處理S22、正常判定處理S23、異常記憶處理S24、異常判定項目選擇處理S25、計數器記憶處理S26、及異常抹除處理S27。記憶裝置47包含異常記憶區域48及計數器記憶區域49。 複數個參數檢測裝置21檢測與車輛1之狀態相關之複數個參數。引擎單元20包含引擎本體、排氣系統、進氣系統、及變速機。排氣系統、進氣系統、及變速機連接於引擎本體。參數檢測裝置21除包括車速感測器、引擎轉速感測器、冷卻水溫度感測器、進氣溫度感測器、節流閥位置感測器、進氣壓力感測器、氧感測器、齒輪位置感測器、外部氣溫感測器等以外，亦包括檢測與包含引擎單元20之車輛1之狀態相關之複數個參數的各種感測器。 參數獲取處理S21係獲取利用複數個參數檢測裝置21所檢測出之複數個參數。 異常判定處理S22係針對用以判定引擎單元20之異常之複數個異常判定項目之各者，基於利用參數獲取處理S21所獲取之複數個參數中之至少1個參數而判定異常。 異常記憶處理S23係將於異常判定處理S22中針對至少1個異常判定項目判定為存在異常之結果作為異常判定結果而記憶於異常記憶區域48。 正常判定處理S24係針對在異常記憶區域48中記憶有異常判定結果之異常判定項目，基於利用參數獲取處理S21所獲取之複數個參數中之至少1個參數而判定正常。 異常判定項目選擇處理S25係自於異常記憶區域48中記憶有異常判定結果之異常判定項目之中，選擇數量少於異常判定項目之總數的異常判定項目作為選擇異常判定項目。 計數器記憶處理S26係針對利用異常判定項目選擇處理S25所選擇出之選擇異常判定項目，將正常判定處理S24中判定為正常之次數進行計數。計數器記憶處理S26係將計數所得之次數作為正常判定數而記憶於計數器記憶區域49。 異常抹除處理S27係於選擇異常判定項目之正常判定數達到特定次數時，將正常判定數達到特定次數之選擇異常判定項目之異常判定結果自異常記憶區域48抹除。特定次數係被預先設定。又，異常抹除處理S27係將正常判定數達到特定次數之選擇異常判定項目之記憶於計數器記憶區域49之正常判定數初始化。 本發明之實施形態之異常檢測裝置40具有以下特徵。 異常判定項目選擇處理S25係自於異常記憶區域48中記憶有異常判定結果之異常判定項目之中，選擇數量少於異常判定項目之總數的異常判定項目作為選擇異常判定項目。計數器記憶處理S26係針對利用異常判定項目選擇處理S25所選擇出之選擇異常判定項目，將正常判定處理S24判定為正常之次數進行計數。又，計數器記憶處理S26係將計數所得之次數作為正常判定數而記憶於計數器記憶區域49。即，計數器記憶區域49中所記憶之正常判定數之數量為利用異常判定項目選擇處理S25所選擇出之選擇異常判定項目之數量，且為少於異常判定項目之總數之數量。藉此，可減少異常檢測裝置40所具有之記憶區域之容量。異常抹除處理S27係將正常判定數達到特定次數之選擇異常判定項目之異常判定結果自異常記憶區域48抹除。又，異常抹除處理S27係將正常判定數達到特定次數之選擇異常判定項目之記憶於計數器記憶區域49之正常判定數初始化。即，異常抹除處理S27係針對正常判定數達到特定次數之選擇異常判定項目，設為異常判定處理S24中所判定之異常為誤檢測。而且，異常抹除處理S27係將正常判定數達到特定次數之選擇異常判定項目之異常判定結果自異常記憶區域48刪除。又，異常抹除處理S27係將正常判定數達到特定次數之選擇異常判定項目之記憶於計數器記憶區域49之正常判定數初始化。藉此，異常抹除處理S27可驗證引擎單元20之異常之檢測之可靠性。 因此，本發明之異常檢測裝置40可減少記憶區域之容量，且提高引擎單元20之異常之檢測之可靠性。 以下，參照圖式對本發明之實施形態之具體例進行詳細說明。此處，作為具備本發明之異常檢測裝置之車輛1，對應用於作為跨坐型車輛之一種之機車之例進行說明。機車1之一例係示於圖1。再者，於以下說明中，省略對與上述本發明之實施形態相同之部位之說明。基本而言，本發明之實施形態之具體例包含上述本發明之全部實施形態。 (本實施形態之具體例1) 首先，基於圖2～圖3對本實施形態之具體例1之異常檢測裝置40進行說明。圖2係具備本實施形態之具體例1之異常檢測裝置40之機車1的方塊圖。圖3係表示本實施形態之具體例1之異常檢測裝置40之記憶裝置47中所儲存的資料之一例之模式圖。具體而言，圖3係模式性地表示記憶裝置47中所包含之異常記憶區域48及計數器記憶區域49中所記憶之資料之一例。 ＜機車1之構成＞ 基於圖2，對具備本實施形態之具體例1之異常檢測裝置40之機車1之構成進行說明。機車1具有引擎單元20及ECU(Electronic Control Unit，電子控制單元)30。引擎單元20包含引擎本體、排氣系統、進氣系統、及變速機。排氣系統、進氣系統、及變速機連接於引擎本體。包含引擎單元20之機車1具有複數個檢測感測器21。各檢測感測器21檢測與機車1之狀態相關之參數。複數個檢測感測器21包括車速感測器、引擎轉速感測器、冷卻水溫度感測器、進氣溫度感測器等各種感測器。車速感測器檢測機車1之車速。引擎轉速感測器檢測曲軸之轉速、即引擎轉速。冷卻水溫度感測器檢測將引擎本體冷卻之冷卻水之溫度。進氣溫度感測器檢測被引擎單元20吸入之空氣之溫度。複數個檢測感測器21相當於本發明之複數個參數檢測裝置21。複數個檢測感測器21連接於ECU30。 ECU30控制機車1之各部之動作。ECU30具有處理器32及記憶裝置47。處理器32包括CPU(Central Processing Unit)等。記憶裝置47包括ROM(Read Only Memory)、RAM(Random Access Memory)等。處理器32基於ROM或RAM等記憶裝置47中所記憶之程式或各種資料而執行資訊處理。於處理器32為可程式處理器之情形時，處理器32亦可被編程為執行以下一系列之處理。如圖2所示，處理器32具有引擎控制部31及異常檢測部41作為功能處理部。引擎控制部31控制引擎單元20之運轉。異常檢測部41檢測搭載於機車1之引擎單元20之異常。 又，於ECU30連接有主開關11及電池12。主開關11例如設置於機車1之把手單元10(參照圖1)。電池12支持於機車1之車體框架。電池12對ECU30、複數個檢測感測器21及下述顯示裝置13等電子機器供給電力。主開關11例如為使用鑰匙進行操作之鑰匙開關。當主開關11被操作為接通時，蓄積於電池12之電力便被供給至引擎單元20、ECU30、及下述顯示裝置13等電子機器。當主開關11被操作為斷開時，便停止自電池12向引擎單元20、ECU30、及下述顯示裝置13等電子機器之電力供給。 機車1具有顯示裝置13。顯示裝置13例如安裝於機車1之把手單元10(參照圖1)。顯示裝置13配置於乘坐在機車1之座部之駕駛者可視認之位置。顯示裝置13顯示車速、引擎轉速、齒輪位置、表示各種警告之警告燈等。顯示裝置13連接於下述報告指令部50。 當引擎啟動開關被操作為接通時，引擎控制部31便使啟動馬達作動而使引擎單元20起動。引擎啟動開關例如設置於機車1之把手單元10(參照圖1)。引擎控制部31基於利用複數個檢測感測器21等所檢測出之參數而控制燃料噴射量等。 ＜異常檢測裝置40之構成＞ 基於圖2，對本實施形態之具體例1之異常檢測裝置40之整體構成進行說明。本實施形態之具體例1之異常檢測裝置40具有上述複數個檢測感測器21、上述處理器32、及記憶裝置47。處理器32包含異常檢測部41作為功能處理部。異常檢測裝置40搭載於機車1。異常檢測部41具有參數獲取部41a、異常判定部42a、正常判定部42b、異常記憶處理部43、異常判定項目選擇部44、計數器記憶處理部45、異常抹除部46及報告指令部50作為功能處理部。記憶裝置47具有異常記憶區域48及計數器記憶區域49。再者，參數獲取部41a係本發明之參數獲取處理之功能處理部。異常判定部42a係本發明之異常判定處理之功能處理部。正常判定部42b係本發明之正常判定處理之功能處理部。異常記憶處理部43係本發明之異常記憶處理之功能處理部。異常判定項目選擇部44係本發明之異常判定項目選擇處理之功能處理部。計數器記憶處理部45係本發明之計數器記憶處理之功能處理部。異常抹除部46係本發明之異常抹除處理之功能處理部。報告指令部50係本發明之報告指令處理之功能處理部。 參數獲取部41a獲取利用複數個檢測感測器21所檢測出之與機車1之狀態相關之複數個參數。 異常判定部42a針對用以判定引擎單元20之異常之複數個異常判定項目，基於利用參數獲取部41a所獲取之複數個參數中之至少1個參數而判定異常。詳細而言，異常判定部42a基於所獲取之至少1個參數，判斷是否滿足針對每個異常判定項目預先決定之用以判定異常之異常判定條件。然後，異常判定部42a針對滿足異常判定條件之異常判定項目，判定為存在異常。例如，於異常判定項目為進氣溫度感測器21之異常之情形時，異常判定條件為自引擎啟動開關成為接通起經過特定時間後，利用進氣溫度感測器21所檢測出之溫度處於預先設定之正常範圍外。於進氣溫度感測器21產生異常之情形時，進氣溫度感測器21所檢測出之溫度成為預先設定之正常範圍外。於此情形時，異常判定部42a判定為進氣溫度感測器21存在異常。再者，亦可使用1個參數而針對複數個異常判定項目判定異常。又，亦可基於複數個參數而針對1個異常判定項目判定異常。異常判定項目除包括用以判定引擎單元20所具有之引擎本體、排氣系統、進氣系統、或變速機之異常之異常判定項目以外，亦包括用以判定參數檢測裝置21之異常之異常判定項目。 異常判定部42a較佳為針對每一驅動週期，對引擎單元20之複數個異常判定項目之各者判定異常。亦可不於所有驅動週期中進行該判定。較佳為於連續之複數次驅動週期中進行該判定。又，亦可針對空出特定次數之每一驅動週期，進行該判定。驅動週期將自主開關11被操作為接通至被操作為斷開為止之期間計為1次。如上所述，為使向引擎單元20之電力之供給開始與停止，而操作主開關11。 異常記憶處理部43將異常判定部42a針對異常判定項目判定為存在異常之結果作為異常判定結果而記憶於異常記憶區域48。異常記憶區域48可記憶複數個異常判定結果。異常記憶區域48可記憶之複數個異常判定結果之數量為與異常判定項目之總數相同的數量。所謂異常判定項目之總數係指用以判定引擎單元20之異常之複數個異常判定項目之總數。即，如圖3所示，異常記憶區域48可記憶異常判定項目、異常判定結果及下述優先級。而且，異常記憶區域48記憶關於所有異常判定項目之異常判定結果。再者，於圖3所示之例中，利用表示異常判定項目之異常碼，預先記憶異常判定項目。具體而言，預先記憶有異常碼A～E之5個異常碼。異常碼A係表示進氣壓力感測器21之異常之異常碼。異常碼B係表示冷卻水溫度感測器21之異常之異常碼。異常碼C係表示進氣溫度感測器21之異常之異常碼。異常碼D係表示引擎轉速感測器21之異常之異常碼。異常碼E係表示車速感測器21之異常之異常碼。異常碼被預先設定為針對每個異常判定項目而不同。又，於圖3所示之例中，異常記憶處理部43對由異常判定部42a判定為存在異常之異常判定項目之異常判定結果記憶1，藉此，將異常判定結果記憶於異常記憶區域48。再者，於圖3所示之例中，異常記憶區域48之異常判定結果之初始值為0。 異常記憶處理部43係於將異常判定結果記憶於異常記憶區域48時，對異常判定結果設定優先級。具體而言，異常記憶處理部43係於在異常記憶區域48已記憶有至少1個異常判定結果時，以如下方式設定異常判定結果之優先級。異常記憶處理部43將新記憶於異常記憶區域48之異常判定結果之優先級以低於已記憶在異常記憶區域48之異常判定結果之優先級之方式進行設定。 例如，於圖3所示之例中，異常判定部42a已判定進氣溫度感測器存在異常。此處，表示進氣溫度感測器之異常這一異常判定項目之異常碼為異常碼C。而且，異常碼C之異常判定結果為1，於異常記憶區域48已記憶有異常碼C之異常判定結果。此時，未記憶有除進氣溫度感測器之異常這一異常判定項目以外之異常判定項目的異常判定結果。因此，對於異常碼C之異常判定結果，將優先級設定為1。其後，藉由異常判定部42a而判定進氣壓力感測器存在異常。表示進氣壓力感測器之異常這一異常判定項目之異常碼為異常碼A。異常記憶處理部43將異常碼A之異常判定結果設為1而記憶於異常記憶區域48。又，異常記憶處理部43對異常碼A之異常判定結果，將優先級設定為2。再者，於本實施形態中，關於優先級，1為最高，2以後每當數值增加時優先級便降低。 又，異常記憶處理部43將異常記憶區域48內所記憶之異常判定項目之異常判定結果中的由異常判定部42a判定為異常之異常判定項目之異常判定結果之優先級，以低於異常記憶區域48中所記憶之其他異常判定項目之異常判定結果之優先級的方式進行變更。尤其是，於利用下述異常判定項目選擇部44所選擇出之選擇異常判定項目由異常判定部42a判定為存在異常時，異常記憶處理部43將經判定為存在異常之異常判定項目之異常判定結果之優先級設定為低於異常記憶區域48中所記憶之其他異常判定結果之優先級。即，將由異常判定部42a判定為異常之異常判定項目之異常判定結果之優先級於異常記憶區域48內所記憶之異常判定項目之異常判定結果中設定為最低。例如，於圖3所示之例中，於已判定出進氣溫度感測器之異常之情形時，將異常碼C之異常判定結果之優先級以低於異常碼A之異常判定結果之優先級2之方式自優先級1變更為優先級3。 正常判定部42b針對在異常記憶區域48記憶有異常判定結果之異常判定項目，基於利用參數獲取部41a所獲取之複數個參數中之至少1個參數而判定正常。詳細而言，正常判定部42b基於所獲取之至少1個參數，判斷是否滿足針對每個異常判定項目預先決定之用以判定正常之正常判定條件。然後，正常判定部42b針對滿足正常判定條件之異常判定項目，判定為正常。例如，於異常判定項目為進氣溫度感測器21之異常之情形時，正常判定條件係自引擎啟動開關成為接通起經過特定時間後，利用進氣溫度感測器21所檢測出之溫度處於預先設定之正常範圍內。即，進氣溫度感測器21之正常判定條件為不滿足異常判定條件。若進氣溫度感測器21正常，則進氣溫度感測器21所檢測出之溫度成為預先設定之正常範圍內。於此情形時，正常判定部42b判定進氣溫度感測器21正常。 正常判定部42b針對每一驅動週期，對在異常記憶區域48記憶有異常判定結果之異常判定項目判定正常。再者，亦可不於所有驅動週期中進行該判定。較佳為於連續之複數次驅動週期中進行該判定。又，亦可針對空出特定次數之每一驅動週期，進行該判定。 異常判定項目選擇部44自於異常記憶區域48記憶有異常判定結果之異常判定項目之中選擇異常判定項目。異常判定項目選擇部44所選擇之異常判定項目之數量係被預先設定。將預先設定之異常判定項目之數量設為選擇項目數。選擇項目數為少於異常判定項目之總數之數量。選擇項目數既可為1個，亦可為複數個。於圖3之具體例之情形時，選擇項目數為1個。 具體而言，異常判定項目選擇部44係於以下時間點，自於異常記憶區域48記憶有異常判定結果之異常判定項目之中，選擇數量少於異常判定項目之總數之異常判定項目。第1個時間點係異常判定部42a針對異常判定項目判定異常時。第2個時間點係異常抹除部46將由異常判定項目選擇部44所選擇出之選擇異常判定項目自異常記憶區域48抹除時。 異常判定項目選擇部44a係按照藉由異常記憶處理部43所設定之異常判定結果之優先級由高至低之順序，選擇出異常判定項目作為選擇異常判定項目。換言之，異常判定項目選擇部44係按照異常判定結果之優先級由高至低之順序，自記憶於異常記憶區域48之異常判定項目中選擇出選擇異常判定項目。再者，於記憶在異常記憶區域48之異常判定項目之數量少於選擇項目數之情形時，異常判定項目選擇部44將記憶於異常記憶區域48之所有異常判定項目選擇作為選擇異常判定項目。於圖3之具體例中，異常判定項目選擇部44將表示優先級為1之異常碼C之異常判定項目選擇作為選擇異常判定項目。再者，自圖3所示之異常記憶區域48朝向計數器記憶區域49之箭頭表示為由異常判定項目選擇部44所選擇出之選擇異常判定項目。於表示記憶裝置47中所包含之異常記憶區域48及計數器記憶區域49中所記憶之資料之一例的其他圖中亦相同。 計數器記憶處理部45針對由異常判定項目選擇部44所選擇出之選擇異常判定項目，將正常判定部42b判定為正常之次數進行計數。然後，計數器記憶處理部45將計數所得之次數作為正常判定數而記憶於計數器記憶區域49。計數器記憶區域49具有與選擇異常判定項目之數量為相同數量之個別區域49a。計數器記憶區域49將正常判定數記憶於個別區域49a。即，記憶於計數器記憶區域49之正常判定數之數量為與選擇異常判定項目之數量相同之數量。於圖3之具體例之情形時，個別區域49a之數量為1個。又，記憶於計數器記憶區域49之正常判定數之數量為1個。 儲存於計數器記憶區域49之正常判定數之初始值為0。於針對由異常判定項目選擇部44所選擇出之選擇異常判定項目，正常判定部42b判定為正常之情形時，計數器記憶處理部45使記憶於計數器記憶區域49之正常判定數之計數自0起依序逐一增加。正常判定部42b於1次驅動週期中僅進行1次判定，故而正常判定數之計數於1次驅動週期中最多僅增加1個。 另一方面，於利用異常判定項目選擇部44所選擇出之選擇異常判定項目由異常判定部42a判定為存在異常時，計數器記憶處理部45將經判定為存在異常之選擇異常判定項目之記憶於計數器記憶區域49之正常判定數初始化。即，於利用異常判定項目選擇部44所選擇出之選擇異常判定項目由異常判定部42a判定為存在異常時，計數器記憶處理部45將經判定為存在異常之選擇異常判定項目之正常判定數初始化。於本具體例之情形時，所謂將正常判定數初始化係指使正常判定數之計數為0。 異常抹除部46於某一選擇異常判定項目之正常判定數達到特定次數時，將該選擇異常判定項目之異常判定結果自異常記憶區域48抹除。即，於正常判定數達到特定次數之情形時，異常抹除部46將該正常判定數達到特定次數之選擇異常判定項目之異常判定結果自異常記憶區域48抹除。特定次數可預先設定任意之次數。特定次數例如為3次。然後，異常抹除部46將正常判定數達到特定次數之選擇異常判定項目之記憶於計數器記憶區域49之正常判定數初始化。 於在異常記憶區域48記憶有至少1個異常判定結果之情形時，報告指令部50對報告機構發送使其報告已判定出異常判定結果之異常判定項目之異常之信號。具體而言，報告指令部50對顯示裝置13發送使其顯示出表示已判定出異常判定結果之異常判定項目之異常之警告燈等的信號。本發明之報告部包含報告指令部50及顯示裝置13。於本實施形態中，報告機構為顯示裝置13，但並不限定於此。 ＜異常檢測裝置40之處理器32所執行之處理＞ 其次，一面參照圖3～圖7，一面根據具體例而說明本實施形態之具體例1之異常檢測裝置40之處理器32所執行的處理。圖4係表示本實施形態之具體例1之異常檢測裝置40之處理器32所執行的處理之順序之一例之流程圖。圖4係表示1次驅動週期中之異常檢測裝置40之處理器32所執行之處理。圖5～7係表示本實施形態之具體例1之異常檢測裝置之記憶裝置中所儲存的資料之一例之圖。 如圖4所示，首先，計數器記憶處理部45讀出記憶於計數器記憶區域49之計數(步驟S1)。於本實施形態之具體例1之具體例中，於記憶裝置47預先儲存有圖3所示之資料。再者，於記憶裝置47亦可未儲存有資料。於圖3之具體例之情形時，讀出n作為計數。又，異常判定項目選擇部44讀出解除對象碼(步驟S2：異常判定項目選擇處理)。再者，將表示由異常判定項目選擇部44所選擇出之選擇異常判定項目之異常碼設為解除對象碼。異常判定項目選擇部44選擇記憶於計數器記憶區域49之正常判定數之數量的異常記憶區域48之異常判定項目作為選擇異常判定項目。異常判定項目選擇部44按照優先級由高至低之順序，選擇出選擇異常判定項目。於圖3之具體例中，記憶於計數器記憶區域49之正常判定數之數量為1個。又，於異常記憶區域48，記憶有異常碼A及異常碼C之異常判定結果。異常碼A之優先級為2，異常碼C之優先級為1。即，優先級最高之異常碼C係表示由異常判定項目選擇部44所選擇出之選擇異常判定項目之異常碼。因此，異常碼C作為表示由異常判定項目選擇部44所選擇出之選擇異常判定項目之異常碼而被讀出。於圖3之具體例中，異常碼C成為解除對象碼。 於圖3之具體例之情形時，於異常記憶區域48記憶有異常碼A及異常碼C之異常判定結果。而且，報告指令部50使顯示裝置13顯示警告燈，該警告燈示出表示異常碼A及異常碼C之異常判定項目之異常(步驟S2：報告指令處理)。 其次，參數獲取部41a獲取利用複數個檢測感測器21所檢測出之與機車1之狀態相關之複數個參數(步驟S3：參數獲取處理)。然後，正常判定部42b針對在異常記憶區域48記憶有異常判定結果之異常判定項目，基於利用參數獲取部41a所獲取之至少1個參數而判定正常(步驟S3：正常判定處理)。 於存在由正常判定部42b判定為正常之異常判定項目之情形時(步驟S3：是(YES)，將表示由正常判定部42b判定為正常之異常判定項目之異常碼設為正常判定碼。然後，計數器記憶處理部45判定正常判定碼是否與解除對象碼相同(步驟S4：計數器記憶處理)。解除對象碼為表示由異常判定項目選擇部44所選擇出之選擇異常判定項目之異常碼。即，計數器記憶處理部45判定由正常判定部42b判定為正常之異常判定項目是否為由異常判定項目選擇部44所選擇出之選擇異常判定項目。於圖3之具體例中，表示選擇異常判定項目之異常碼為異常碼C。然後，計數器記憶處理部45判定正常判定碼是否為異常碼C。 於正常判定碼與解除對象碼不同之情形時(步驟S4：否(NO)，結束處理。另一方面，於正常判定碼與解除對象碼相同之情形時(步驟S4：是)，計數器記憶處理部45使記憶於計數器記憶區域49之正常判定碼之正常判定數之計數遞增(步驟S5：計數器記憶處理)。然後，異常抹除部46判定遞增後之正常判定數之計數是否與N相同(步驟S6：異常抹除處理)。即，異常抹除部46判定正常判定數之計數是否與N相同。N為特定次數。 於正常判定數之計數與N不同之情形時(步驟S6：否)，計數器記憶處理部45將遞增後之計數保存於計數器記憶區域49(步驟S7：計數器記憶處理)。然後，結束處理。 於正常判定數之計數與N相同之情形時(步驟S6：是)，異常抹除部46將記憶於計數器記憶區域49之正常判定碼之正常判定數之計數初始化，並保存於計數器記憶區域49(步驟S8：異常抹除處理)。即，如圖5(a)之具體例所示，異常抹除部46使記憶於計數器記憶區域49之正常判定數之計數為0，並保存於計數器記憶區域49。又，異常抹除部46將該正常判定數之計數達到N之選擇異常判定項目之異常判定結果自異常記憶區域48抹除(步驟S9：異常抹除處理)。如圖5(a)之具體例所示，表示選擇異常判定項目之異常碼為異常碼C。然後，異常抹除部46自異常記憶區域48抹除異常碼C之異常判定結果。即，異常記憶區域48之異常碼C之異常判定結果成為0。 其次，報告指令部50判定異常記憶區域48是否空閒(步驟S10：報告指令處理)。即，報告指令部50判定記憶於異常記憶區域48之異常判定結果是否全部為0。於異常記憶區域48空閒之情形時(步驟S10：是)，報告指令部50使顯示於顯示裝置13之警告燈熄滅(步驟S11：報告指令處理)。然後，結束處理。 另一方面，於異常記憶區域48不空閒之情形時(步驟S10：否)，異常記憶處理部43將記憶於異常記憶區域48之異常判定結果按照優先級之順序排列(步驟S12：異常記憶處理)。即，將記憶於異常記憶區域48之異常判定結果之優先級自1起依序排列。於圖5(a)之具體例中，如圖5(b)所示，將異常碼A之異常判定結果之優先級自2變更為1。又，異常判定項目選擇部44按照藉由異常記憶處理部43所設定之異常判定結果之優先級由高至低之順序，將異常判定項目選擇作為選擇異常判定項目(步驟S12：異常判定項目選擇處理)。異常判定項目選擇部44自於異常記憶區域48記憶有異常判定結果之異常判定項目之中，選擇出選擇異常判定項目。於圖5(b)之具體例中，藉由異常判定項目選擇部44，將異常判定結果之優先級為1之異常碼A選擇作為選擇異常判定項目。然後，結束處理。 另一方面，於不存在由正常判定部42b判定為正常之異常判定項目之情形時(步驟S3：否)，異常判定部42a針對複數個異常判定項目，基於利用參數獲取部41a所獲取之複數個參數中之至少1個參數而判定異常(步驟S13：異常判定處理)。 於存在由異常判定部42a判定為異常之異常判定項目之情形時(步驟S13：是)，將表示由異常判定部42a判定為異常之異常判定項目之異常碼設為異常判定碼。然後，計數器記憶處理部45判定異常判定碼是否與解除對象碼相同(步驟S14：計數器記憶處理)。解除對象碼為表示由異常判定項目選擇部44所選擇出之選擇異常判定項目之異常碼。即，計數器記憶處理部45判定由異常判定部42a判定為異常之異常判定項目是否為由異常判定項目選擇部44所選擇出之選擇異常判定項目。於圖3之具體例中，表示選擇異常判定項目之異常碼為異常碼C。然後，計數器記憶處理部45判定表示經判定為異常之異常判定項目之異常碼是否為異常碼C。 於異常判定碼與解除對象碼相同之情形時(步驟S14：是)，計數器記憶處理部45將記憶於計數器記憶區域49之異常判定碼之正常判定數之計數初始化，並記憶於計數器記憶區域49(步驟S15：計數器記憶處理)。即，使記憶於計數器記憶區域49之異常判定碼之正常判定數之計數為0，並記憶於計數器記憶區域49。然後，異常記憶處理部43將經判定為異常之異常判定項目之異常判定結果之優先級設定為最低之優先級(步驟S16：異常記憶處理)。於具體例中，如圖6(a)所示，將異常碼C之異常判定結果之優先級自1變更為5。然後，異常記憶處理部43將記憶於異常記憶區域48之異常判定結果按照優先級之順序排列(步驟S12：異常記憶處理)。即，將記憶於異常記憶區域48之異常判定結果之優先級自1起依序排列。於圖6(b)之具體例中，將異常碼A之異常判定結果之優先級自2變更為1，將異常碼B之異常判定結果之優先級自5變更為2。又，異常判定項目選擇部44按照藉由異常記憶處理部43所設定之異常判定結果之優先級由高至低之順序，將異常判定項目選擇作為選擇異常判定項目(步驟S12)。異常判定項目選擇部44自於異常記憶區域48記憶有異常判定結果之異常判定項目之中，選擇出選擇異常判定項目。於圖6(b)之具體例中，藉由異常判定項目選擇部44，將異常判定結果之優先級為1之異常碼A選擇作為選擇異常判定項目。然後，結束處理。 另一方面，於異常判定碼與解除對象碼不同之情形時(步驟S14：否)，異常記憶處理部43將經判定為異常之異常判定項目之異常判定結果記憶於異常記憶區域48。又，異常記憶處理部43將經判定為異常之異常判定項目之異常判定結果之優先級設定為最低優先級(步驟S17：異常記憶處理)。具體而言，如圖7(a)所示，設為異常判定碼為異常碼E。異常記憶處理部43將異常碼E之異常判定結果記憶於異常記憶區域48。又，異常記憶處理部43將記憶於異常記憶區域48之異常判定結果之優先級設定為5。然後，異常記憶處理部43將記憶於異常記憶區域48之異常判定結果按照優先級之順序排列(步驟S12：異常記憶處理)。即，將記憶於異常記憶區域48之異常判定結果之優先級自1起依序排列。於圖7(b)之具體例中，將異常碼E之異常判定結果之優先級自5變更為3。又，異常判定項目選擇部44按照藉由異常記憶處理部43所設定之異常判定結果之優先級由高至低之順序，將異常判定項目選擇作為選擇異常判定項目(步驟S12：異常判定項目選擇處理)。異常判定項目選擇部44自於異常記憶區域48記憶有異常判定結果之異常判定項目之中，選擇出選擇異常判定項目。於圖7(b)之具體例中，藉由異常判定項目選擇部44，將異常判定結果之優先級為1之異常碼C選擇作為選擇異常判定項目。然後，結束處理。 以如上方式構成之本實施形態之具體例1之異常檢測裝置40具有以下效果。本實施形態之具體例1之異常檢測裝置40搭載於機車1。異常檢測裝置40具有複數個檢測感測器21、處理器32及記憶裝置47。複數個檢測感測器21檢測與機車1之狀態相關之複數個參數。處理器32具有參數獲取部41a、異常判定部42a、正常判定部42b、異常記憶處理部43、異常判定項目選擇部44、計數器記憶處理部45、及異常抹除部46。即，處理器32構成為或被編程為執行參數獲取處理、異常判定處理、異常記憶處理、正常判定處理、異常判定項目選擇處理、計數器記憶處理、及異常抹除處理。記憶裝置47包含異常記憶區域48及計數器記憶區域49。引擎單元20包含引擎本體、排氣系統、進氣系統及變速機。排氣系統、進氣系統及變速機連接於引擎本體。檢測感測器21除包括車速感測器、引擎轉速感測器、冷卻水溫度感測器、進氣溫度感測器、節流閥位置感測器、進氣壓力感測器、氧感測器、齒輪位置感測器、外部氣溫感測器等以外，亦包括檢測與包含引擎單元20之機車1之狀態相關之複數個參數的各種感測器。異常判定部42a針對用以判定引擎單元20之異常之複數個異常判定項目，基於利用參數獲取部41a所獲取之複數個參數中之至少1個參數而判定異常。異常判定項目除包括引擎單元20所具有之引擎本體、排氣系統、進氣系統、或變速機之異常以外，亦包括用以判定檢測感測器21之異常之異常判定項目。異常記憶處理部43將異常判定部42a針對至少1個異常判定項目判定為存在異常之結果作為異常判定結果而記憶於異常記憶區域48。正常判定部42b針對在異常記憶區域48記憶有異常判定結果之異常判定項目，基於利用參數獲取部41a所獲取之複數個參數中之至少1個參數而判定正常。異常判定項目選擇部44自於異常記憶區域48中記憶有異常判定結果之異常判定項目之中，選擇數量少於異常判定項目之總數的異常判定項目作為選擇異常判定項目。計數器記憶處理部45針對由異常判定項目選擇部44所選擇出之選擇異常判定項目，將正常判定部42b判定為正常之次數進行計數。又，計數器記憶處理部45將計數所得之次數作為正常判定數而記憶於計數器記憶區域49。即，計數器記憶區域49中所記憶之正常判定數之數量為由異常判定項目選擇部44所選擇出之選擇異常判定項目之數量，且為少於異常判定項目之總數之數量。藉此，可減少異常檢測裝置40所具有之記憶裝置47之記憶區域之容量。異常抹除部46將正常判定數達到特定次數之選擇異常判定項目之異常判定結果自異常記憶區域48抹除。特定次數係被預先設定。又，異常抹除部46將正常判定數達到特定次數之選擇異常判定項目之記憶於計數器記憶區域49之正常判定數初始化。即，異常抹除部46針對正常判定數達到特定次數之選擇異常判定項目，判定異常判定部42a所判定之異常為誤檢測。然後，異常抹除部46將正常判定數達到特定次數之選擇異常判定項目之異常判定結果自異常記憶區域48刪除。又，異常抹除部46將正常判定數達到特定次數之異常判定項目之記憶於計數器記憶區域49之正常判定數初始化。藉此，異常抹除部46可驗證引擎單元20之異常之檢測之可靠性。 因此，本實施形態之具體例1之異常檢測裝置40可減少記憶裝置47之記憶區域之容量，且提高引擎單元20之異常之檢測之可靠性。 異常判定項目選擇部44於以下之時間點，自於異常記憶區域48記憶有異常判定結果之異常判定項目之中，重新選擇出選擇異常判定項目。該時間點為異常抹除部46自異常記憶區域48抹除正常判定數達到特定次數之選擇異常判定項目之異常判定結果時。此時，成為計數器記憶處理部45對正常判定數進行計數之對象之選擇異常判定項目消失。然後，重新選擇成為計數器記憶處理部45對正常判定數進行計數之對象之選擇異常判定項目。藉此，計數器記憶處理部45可驗證針對重新選擇之異常判定項目之異常之檢測的可靠性。因此，本實施形態之異常檢測裝置40可提高引擎單元20之異常之檢測之可靠性。 於利用異常判定項目選擇部所選擇出之選擇異常判定項目由異常判定部42a判定為存在異常時，計數器記憶處理部45將經判定為存在異常之選擇異常判定項目之記憶於計數器記憶區域49之正常判定數初始化。關於由異常判定部42a判定為存在異常之選擇異常判定項目，所檢測出之異常為誤檢測之可能性較低。因此，將記憶於計數器記憶區域49之正常判定數初始化，並重新對正常判定數進行計數。因此，本實施形態之異常檢測裝置40可提高引擎單元20之異常之檢測之可靠性。 異常記憶處理部43係於將異常判定結果記憶於異常記憶區域48時，對異常判定結果設定優先級。異常判定項目選擇部44自已判定出優先級較高之異常判定結果之異常判定項目依序選擇出選擇異常判定項目。因此，本實施形態之異常檢測裝置40可提高引擎單元20之異常之檢測之可靠性。 於利用異常判定項目選擇部44所選擇出之選擇異常判定項目由異常判定部42a判定為存在異常時，異常記憶處理部43以如下方式設定經判定為存在異常之選擇異常判定項目之異常判定結果之優先級。異常記憶處理部43將經判定為存在異常之選擇異常判定項目之異常判定結果之優先級設定為低於異常記憶區域48中所記憶之其他異常判定結果之優先級。關於由異常判定部42a判定為異常之選擇異常判定項目，所檢測出之異常為誤檢測之可能性較低。因此，異常記憶處理部43將所檢測出之異常為誤檢測之可能性較低之選擇異常判定項目之優先級以變低之方式進行設定。藉此，可使異常判定項目選擇部44不選擇所檢測出之異常為誤檢測之可能性較低之異常判定項目。因此，本實施形態之異常檢測裝置40可提高引擎單元20之異常之檢測之可靠性。 於在異常記憶區域48已記憶有異常判定結果時，異常記憶處理部43以如下方式進行處理。異常記憶處理部43將新記憶於異常記憶區域48之異常判定結果之優先級以低於已記憶在異常記憶區域48之異常判定結果之優先級之方式進行設定。藉此，針對在異常記憶區域48已記憶有異常判定結果之異常判定項目，可先於由異常判定部42a新判定為異常之異常判定項目而驗證異常之檢測之可靠性。因此，本實施形態之異常檢測裝置40可高效率地驗證引擎單元20之異常之檢測之可靠性。 異常檢測裝置40進而具有報告指令部50。報告指令部50於在異常記憶區域48記憶有至少1個異常判定結果之情形時，將信號發送至顯示裝置13。顯示裝置13為機車1所具有。信號係使顯示裝置13報告已判定出異常判定結果之異常判定項目或引擎單元20存在異常的信號。藉此，駕駛者可辨識已判定出異常判定結果之異常判定項目或引擎單元20產生異常。 異常判定部42a及正常判定部42b係針對每一驅動週期進行判定。即，異常檢測裝置40係針對每一驅動週期驗證異常之檢測之可靠性。因此，本實施形態之異常檢測裝置40可提高引擎單元20之異常之檢測之可靠性。 驅動週期係自將主開關11操作為接通以對引擎單元20供給電力至將主開關11操作為斷開以停止對引擎單元20供給電力為止的期間。而且，異常檢測裝置40係針對每一驅動週期進行異常判定部42a及正常判定部42b之判定。即，異常檢測裝置40係針對每一驅動週期驗證異常之檢測之可靠性。因此，本實施形態之異常檢測裝置40可提高引擎單元20之異常之檢測之可靠性。 機車1為跨坐型車輛。跨坐型車輛之引擎單元20配置於較座部之上端更靠下方。跨坐型車輛與其他車輛相比，車輛之大小較小。異常檢測裝置40搭載於跨坐型車輛。因此，多數情況下，跨坐型車輛與其他車輛相比，異常檢測裝置40之大小較小。即，跨坐型車輛與其他車輛相比，難以確保具有較大之記憶區域之記憶裝置47。因此，跨坐型車輛適於搭載可減少記憶裝置47之記憶區域之容量的本發明之異常檢測裝置40。 (本實施形態之具體例2) 其次，基於圖2及圖8對本實施形態之具體例2之異常檢測裝置40進行說明。本實施形態之具體例2之異常檢測裝置40與本實施形態之具體例1之異常檢測裝置40之不同點在於異常記憶區域48中所記憶之資料、及利用異常記憶處理部43所進行之處理之順序。再者，關於本實施形態之具體例2之異常檢測裝置40之除異常記憶處理部43及異常記憶區域48以外的構件，與本實施形態之具體例1相同，省略其說明。又，具備本實施形態之具體例2之異常檢測裝置40之機車1的方塊圖與具備本實施形態之具體例1之異常檢測裝置40之機車1的方塊圖相同。因此，以下，使用具備本實施形態之具體例1之異常檢測裝置40之機車1的方塊圖即圖2，對本實施形態之具體例2之異常檢測裝置40之異常記憶處理部43及異常記憶區域48進行說明。圖8係表示本實施形態之具體例2之異常檢測裝置40之記憶裝置47中所儲存的資料之一例之模式圖。具體而言，圖8係模式性地表示記憶裝置47中所包含之異常記憶區域48及計數器記憶區域49中所記憶之資料之一例。 異常記憶處理部43藉由將表示由異常判定部42a判定為存在異常之異常判定項目之異常碼記憶於異常記憶區域48，而將異常判定結果記憶於異常記憶區域48。異常記憶區域48可儲存複數個異常碼。異常記憶區域48具有可分別儲存複數個異常碼之複數個個別區域。又，對於複數個個別區域，連續地設定優先級。即，對於複數個個別區域，自1起依序設定優先級。複數個個別區域之數量為少於異常判定項目之總數之數量。所謂異常判定項目之總數係指用以判定引擎單元20之異常之複數個異常判定項目之總數。再者，於表示由異常判定部42a判定為存在異常之異常判定項目之異常碼多於個別區域之數量之情形時，以如下方式進行處理。即，異常記憶處理部43係於在異常記憶區域48之所有個別區域已記憶有異常碼之情形時，以如下方式進行處理。於針對未記憶於異常記憶區域48之表示新異常判定項目之異常碼，藉由異常判定部42a而判定為存在異常時，異常記憶處理部43不將該表示新異常判定項目之異常碼記憶於異常記憶區域48。 於圖8之具體例中，異常記憶區域48例如可記憶3個異常碼。於此情形時，異常記憶區域48具有可儲存3個異常碼之3個個別區域48a、48b、48c。於圖8之具體例中，於3個個別區域48a、48b、48c中之2個個別區域48a、48b，儲存有異常碼A及異常碼C之2個異常碼。剩餘1個個別區域48c為未儲存有異常碼之空閒個別區域。此處，空閒個別區域為未儲存有異常碼之個別區域。異常碼A儲存於3個個別區域中之優先級為1且最高之個別區域48a。異常碼B儲存於3個個別區域中之優先級為2之個別區域48b。3個個別區域中之優先級為3且最低之個別區域48c為空閒個別區域。 異常記憶處理部43將由異常判定部42a新判定為異常之異常判定項目之異常碼自異常記憶區域48內之優先級較高之個別區域儲存至優先級較低之個別區域。換言之，異常記憶處理部43將異常碼儲存於較已記憶有異常碼之個別區域中之優先級最低之個別區域低1個優先級之個別區域。於圖8之具體例中，例如將由異常判定部42a新判定為異常之異常判定項目之異常碼B記憶於優先級為3之個別區域。 又，異常記憶處理部43係將表示異常記憶區域48之個別區域中所儲存之異常判定項目之異常碼中之表示由異常判定部42a判定為異常之異常判定項目之異常碼，儲存於優先級較異常記憶區域48中所記憶之其他異常判定項目之異常碼之個別區域低之個別區域。尤其是，於利用異常判定項目選擇部44所選擇出之選擇異常判定項目由異常判定部42a判定為存在異常時，異常記憶處理部43將經判定為存在異常之異常判定項目之異常碼儲存於優先級較異常記憶區域48中所記憶之其他異常碼之個別區域低之個別區域。即，將由異常判定部42a判定為異常之異常判定項目之異常碼儲存於在異常記憶區域48內所記憶之異常碼之中優先級最低之個別區域。例如，於圖8所示之例中，於已判定出進氣溫度感測器之異常之情形時，將儲存有異常碼C之個別區域自優先級為1之個別區域變更為優先級低於異常碼A而為3之個別區域。 與本實施形態之具體例1同樣地，計數器記憶區域49具有可記憶與1個解除對象碼關聯之正常判定數之個別區域。異常判定項目選擇部44自於異常記憶區域48記憶有異常判定結果之異常判定項目之中，選擇1個異常判定項目作為選擇異常判定項目。異常判定項目選擇部44將儲存於異常記憶區域48之優先級最高之個別區域之異常碼所示的異常判定項目選擇作為選擇異常判定項目。即，異常判定項目選擇部44將儲存於異常記憶區域48之優先級最高之個別區域之異常碼選擇作為選擇異常判定項目。於圖8所示之具體例中，將儲存於優先級為1之個別區域48a之異常碼C選擇作為選擇異常判定項目。 其次，一面參照圖4及圖8～圖11，一面根據具體例而說明本實施形態之具體例2之異常檢測裝置40之處理器32所執行之處理。本實施形態之具體例2之異常檢測裝置40之處理器32所執行的處理之順序與本實施形態之具體例1之異常檢測裝置40之處理器32所執行的處理之順序相同。因此，使用圖4所示之表示本實施形態之具體例1之異常檢測裝置40之處理器32所執行的處理之順序之一例之流程圖，說明本實施形態之具體例2之異常檢測裝置40之處理器32所執行的處理。圖8～圖11表示本實施形態之具體例2之記憶裝置47中所儲存之資料的一例。更詳細而言，圖8～圖11表示記憶於異常記憶區域48之異常碼及記憶於計數器記憶區域49之正常判定數之一例。 如圖4所示，首先，計數器記憶處理部45讀出記憶於計數器記憶區域49之計數(步驟S1)。於本實施形態之具體例2之具體例中，於記憶裝置47預先儲存有圖8所示之資料。再者，於記憶裝置47亦可未儲存有資料。於圖8之具體例之情形時，讀出n作為計數。又，異常判定項目選擇部44讀出解除對象碼(步驟S2：異常判定項目選擇處理)。再者，將表示由異常判定項目選擇部44所選擇出之選擇異常判定項目之異常碼設為解除對象碼。異常判定項目選擇部44將記憶於計數器記憶區域49之正常判定數之數量的異常判定項目選擇作為選擇異常判定項目。異常判定項目選擇部44自優先級較高之個別區域依序選擇出選擇異常判定項目。於圖8之具體例中，記憶於計數器記憶區域49之正常判定數之數量為1個。又，於異常記憶區域48之個別區域，根據優先級由高至低之順序儲存有異常碼C、及異常碼A。即，儲存於優先級最高之個別區域之異常碼C係表示由異常判定項目選擇部44所選擇出之選擇異常判定項目之異常碼。因此，異常碼C作為表示由異常判定項目選擇部44所選擇出之選擇異常判定項目之異常碼而被讀出。於圖3之具體例中，異常碼C成為解除對象碼。 於圖8之具體例之情形時，於異常記憶區域48之2個個別區域儲存有異常碼A及異常碼C。然後，報告指令部50使顯示裝置13顯示出表示與異常碼A及異常碼C對應之檢測項目之異常之警告燈(步驟S2：報告指令處理)。 其次，參數獲取部41a獲取利用複數個檢測感測器21所檢測出之與機車1之狀態相關之複數個參數(步驟S3：參數獲取處理)。然後，正常判定部42b針對在異常記憶區域48記憶有異常判定結果之異常判定項目，基於利用參數獲取部41a所獲取之至少1個參數而判定正常(步驟S3：正常判定處理)。 於存在由正常判定部42b判定為正常之異常判定項目之情形時(步驟S3：是)，將表示由正常判定部42b判定為正常之異常判定項目之異常碼設為正常判定碼。然後，計數器記憶處理部45判定正常判定碼是否與解除對象碼相同(步驟S4：計數器記憶處理)。解除對象碼為表示由異常判定項目選擇部44所選擇出之選擇異常判定項目之異常碼。即，計數器記憶處理部45判定由正常判定部42b判定為正常之異常判定項目是否為由異常判定項目選擇部44所選擇出之選擇異常判定項目。於圖8之具體例中，表示選擇異常判定項目之異常碼為異常碼C。然後，計數器記憶處理部45判定正常判定碼是否為異常碼C。 於正常判定碼與解除對象碼不同之情形時(步驟S4：否)，結束處理。另一方面，於正常判定碼與解除對象碼相同之情形時(步驟S4：是)，計數器記憶處理部45使記憶於計數器記憶區域49之正常判定碼之正常判定數之計數遞增(步驟S5：計數器記憶處理)。然後，異常抹除部46判定遞增後之正常判定數之計數是否與N相同(步驟S6：異常抹除處理)。即，異常抹除部46判定正常判定數之計數是否與N相同。與本實施形態之具體例1同樣地，N為特定次數。 於正常判定數之計數與N不同之情形時(步驟S6：否)，計數器記憶處理部45將遞增後之計數保存於計數器記憶區域49(步驟S7：計數器記憶處理)。然後，結束處理。 於正常判定數之計數與N相同之情形時(步驟S6：是)，異常抹除部46將記憶於計數器記憶區域49之正常判定碼之正常判定數之計數初始化，並保存於計數器記憶區域49(步驟S8：異常抹除處理)。即，如圖9(a)之具體例所示，異常抹除部46使儲存於計數器記憶區域49之正常判定數之計數為0，並保存於計數器記憶區域49。又，異常抹除部46將該正常判定數之計數達到N之選擇異常判定項目之異常碼自異常記憶區域48抹除(步驟S9：異常抹除處理)。如圖9(a)之具體例所示，表示選擇異常判定項目之異常碼為異常碼C。然後，異常抹除部46自異常記憶區域48抹除異常碼C。即，將儲存於異常記憶區域48之優先級最高之個別區域48a之異常碼C抹除，個別區域48a成為空閒個別區域。 其次，報告指令部50判定異常記憶區域48是否空閒(步驟S10：報告指令處理)。即，報告指令部50判定形成異常記憶區域48之3個個別區域是否全部為空閒個別區域。於異常記憶區域48空閒之情形時(步驟S10：是)，報告指令部50使顯示於顯示裝置13之警告燈熄滅(步驟S11：報告指令處理)。然後，結束處理。 另一方面，於異常記憶區域48不空閒之情形時(步驟S10：否)，異常記憶處理部43將記憶於異常記憶區域48之異常判定結果按照優先級之順序排列(步驟S12：異常記憶處理)。即，於異常記憶區域48內之個別區域存在空閒個別區域之情形時，且於優先級較該空閒個別區域低之個別區域儲存有異常碼之情形時，異常記憶處理部43使儲存於優先級較該空閒個別區域低之個別區域之異常碼移動至優先級較高之個別區域。就圖9(a)之具體例而言，如圖9(b)所示，個別區域48a為空閒個別區域，故而使儲存於優先級為2之個別區域48b之異常碼A移動至作為優先級為1且最高之個別區域的空閒個別區域48a。然後，如圖9(b)所示，個別區域48b成為空閒個別區域。 另一方面，於不存在由正常判定部42b判定為正常之異常判定項目之情形時(步驟S3：否)，異常判定部42a針對複數個異常判定項目，基於利用參數獲取部41a所獲取之複數個參數中之至少1個參數而判定異常(步驟S13：異常判定處理)。 於存在由異常判定部42a判定為異常之異常判定項目之情形時(步驟S13：是)，將表示由異常判定部42a判定為異常之異常判定項目之異常碼設為異常判定碼。然後，計數器記憶處理部45判定異常判定碼是否與解除對象碼相同(步驟S14：計數器記憶處理)。解除對象碼為表示由異常判定項目選擇部44所選擇出之選擇異常判定項目之異常碼。即，計數器記憶處理部45判定由異常判定部42a判定為存在異常之異常判定項目是否為由異常判定項目選擇部44所選擇出之選擇異常判定項目。於圖8之具體例中，表示選擇異常判定項目之異常碼為異常碼C。然後，計數器記憶處理部45判定表示經判定為異常之異常判定項目之異常碼是否為異常碼C。 於異常判定碼與解除對象碼相同之情形時(步驟S14：是)，計數器記憶處理部45將記憶於計數器記憶區域49之異常判定碼之正常判定數之計數初始化，並記憶於計數器記憶區域49(步驟S15：計數器記憶處理)。即，使記憶於計數器記憶區域49之異常判定碼之正常判定數之計數為0，並儲存於計數器記憶區域49。然後，異常記憶處理部43使經判定為異常之異常判定項目之異常碼(異常判定碼)移動至異常記憶區域48內之優先級最低之個別區域(步驟S16：異常記憶處理)。即，異常記憶處理部43將經判定為異常之異常判定項目之異常判定結果之優先級設定為最低優先級。於具體例中，如圖8所示，使儲存於異常記憶區域48內之優先級最高之個別區域之異常碼C如圖10(a)所示般移動至異常記憶區域48內之優先級為3且最低之個別區域48c。此時，於優先級為3且最低之個別區域48c並非空閒個別區域之情形時，於與下一步驟S12之處理同時或於步驟S12之處理之後，使異常碼C移動至異常記憶區域48內之優先級為3且最低之個別區域48c。然後，異常記憶處理部43將記憶於異常記憶區域48之異常判定結果按照優先級之順序排列(步驟S12：異常記憶處理)。即，異常記憶處理部43係於在異常記憶區域48內之個別區域存在空閒個別區域之情形，且於在優先級較該空閒個別區域低之個別區域儲存有異常碼之情形時，使儲存於優先級較該空閒個別區域低之個別區域之異常碼移動至優先級較高之個別區域。於具體例中，如圖10(b)所示，使儲存於優先級為2之個別區域48b之異常碼A移動至優先級為1且最高之個別區域48a。又，藉此，優先級為2之個別區域48b成為空閒個別區域。然後，使儲存於優先級為3且最低之個別區域48c之異常碼C移動至異常記憶區域48內之優先級為2之個別區域48b。即，使儲存於圖10(a)所示之優先級為2之後之個別區域48b之異常碼移動至上一優先級之個別區域。然後，結束處理。 另一方面，於異常判定碼與解除對象碼不同之情形時(步驟S14：否)，異常記憶處理部43將表示經判定為異常之異常判定項目之異常碼(異常判定碼)記憶於異常記憶區域48。更詳細而言，異常記憶處理部43使經判定為異常之異常判定項目之異常碼記憶於異常記憶區域48之優先級最低之個別區域(步驟S17：異常記憶處理)。具體而言，設為異常判定碼為異常碼E。如圖11所示，於異常記憶區域48內之優先級為3且最低之個別區域48c儲存有異常碼E。然後，異常記憶處理部43將記憶於異常記憶區域48之異常判定結果按照優先級之順序排列(步驟S12：異常記憶處理)。即，於在異常記憶區域48內之個別區域存在空閒個別區域之情形，且於在優先級較該空閒個別區域低之個別區域儲存有異常碼之情形時，異常記憶處理部43使儲存於優先級較該空閒個別區域低之個別區域之異常碼之優先級移動至上位。於圖11所示之例中，於異常記憶區域48內之個別區域不存在空閒個別區域，故而儲存於異常記憶區域48之異常碼之優先級保持原狀。然後，結束處理。 以如上方式構成之本實施形態之具體例2之異常檢測裝置40除具有本實施形態之具體例1之異常檢測裝置40之效果以外，亦具有以下效果。 可記憶於異常記憶區域48之異常判定結果之數量少於異常判定項目之總數。此處，可記憶於異常記憶區域48之異常判定結果之數量多於異常判定項目選擇部44可選擇之選擇異常判定項目之數量。藉此，可減少異常記憶區域48之容量。因此，本實施形態之具體例2之異常檢測裝置40可減少記憶裝置47之記憶區域之容量，且提高引擎單元20之異常之檢測之可靠性。 異常記憶處理部43藉由將表示由異常判定部42a判定為存在異常之異常判定項目之異常碼記憶於異常記憶區域48，而將異常判定結果記憶於異常記憶區域48。又，異常記憶區域48為可分別儲存複數個異常碼之複數個個別區域。又，異常記憶區域48為連續地設定有優先級之複數個個別區域。異常記憶處理部43藉由將異常碼儲存於個別區域，而對異常碼設定優先級。而且，異常判定項目選擇部44可容易地選擇所檢測出之異常為誤檢測之可能性較高之異常判定項目作為選擇異常判定項目。因此，本實施形態之異常檢測裝置40可提高引擎單元20之異常之檢測之可靠性。 異常記憶處理部43係於以下之2個時間點，將儲存於優先級較空閒個別區域低之個別區域之異常碼移動並儲存至空閒個別區域。第1個時間點係於複數個個別區域中之至少1個為未儲存有異常碼之空閒個別區域時。第2個時間點係於優先級較空閒個別區域低之個別區域儲存有異常碼時。即，異常記憶處理部43能夠以消除空閒個別區域之方式將異常碼自異常記憶區域48內之優先級較高之個別區域儲存至優先級較低之個別區域。因此，異常記憶處理部43可自形成於異常記憶區域48內之優先級較高之個別區域，依序容易地選擇異常碼所示之異常判定項目作為選擇異常判定項目。因此，本實施形態之異常檢測裝置40可高效率地驗證引擎單元20之異常之檢測之可靠性。 以上，對本發明之較佳之實施形態進行了說明，但本發明並不限定於上述實施形態，只要記載於申請專利範圍中便可進行各種變更。又，下述變更例可適當組合而實施。 於本發明之異常檢測裝置中，參數檢測裝置並不限定於車速感測器、引擎轉速感測器、冷卻水溫度感測器、及進氣溫度感測器。此外，參數檢測裝置除包括外部氣溫感測器、節流閥位置感測器、進氣壓力感測器、氧感測器、齒輪位置感測器以外，亦包括檢測與車輛之狀態相關之複數個參數之各種感測器。 於本發明中，主開關亦可不必安裝於把手單元。又，引擎啟動開關亦可不必安裝於把手單元。又，顯示裝置亦可不必安裝於把手單元。 於本發明之異常檢測裝置中，異常檢測裝置中所包含之處理器及記憶裝置既可為配置於1個部位之1個裝置，亦可包含配置於不同位置之複數個裝置。例如，亦可將構成為處理器之參數獲取部、異常判定部、正常判定部、異常記憶處理部、異常判定項目選擇部、計數器記憶處理部、異常抹除部及報告部之各者或構成一部分之裝置或記憶裝置配置於相互隔開之位置。 於本實施形態之異常檢測裝置中，正常判定處理係針對由異常判定處理判定為存在異常之異常判定項目，基於利用參數檢測處理所獲取之複數個參數中之至少1個參數而判定正常。然而，於本發明之異常檢測裝置中，正常判定處理可針對利用異常判定項目選擇處理所選擇出之選擇異常判定項目，基於利用參數檢測處理所獲取之複數個參數中之至少1個參數而判定正常。藉此，正常判定處理判定正常之異常判定項目限定於由異常判定項目選擇處理所選擇出之選擇異常判定項目。即，正常判定處理判定與由異常判定處理判定為存在異常之異常判定項目相同或較少之異常判定項目之正常。因此，於異常抹除處理中，可簡單地驗證引擎單元之異常之檢測之可靠性。 於本發明之異常檢測裝置中，可進而使處理器執行輸出處理。輸出處理係於在異常記憶區域儲存有至少1個異常判定結果之情形時，將已判定出異常判定結果之異常判定項目之異常輸出至控制引擎單元之控制裝置。藉此，根據已判定出異常判定結果之異常判定項目之異常，控制裝置可控制引擎單元。例如，於圖2所示之異常檢測裝置40中，根據已判定出異常判定結果之異常判定項目之異常，ECU30所具有之引擎控制部31可控制引擎單元20。 於本發明之異常檢測裝置中，計數器記憶處理亦可於正常判定處理判定為正常之情形時，藉由對儲存於計數器記憶區域之正常判定數之計數進行減算，而將正常判定數進行計數。即，計數器記憶處理係將特定次數作為正常判定數之初始值而儲存於計數器區域。而且，於針對利用異常判定項目選擇處理所選擇出之異常判定項目，正常判定部判定為正常之情形時，計數器記憶處理使儲存於計數器記憶區域之計數自特定次數起依序逐一減少。於此情形時，於異常抹除處理中，記憶於計數器記憶區域之正常判定數之計數成為0，藉此，判斷正常判定數達到特定次數。 於本發明之異常檢測裝置中，異常記憶處理可不使儲存於異常記憶區域所具有之複數個個別區域之異常碼移動，而變更對異常碼設定之優先級。換言之，異常記憶處理可不使儲存於異常記憶區域所具有之複數個個別區域之異常碼移動，而變更對個別區域設定之優先級。 於本發明之異常檢測裝置中，正常條件亦可為不滿足異常條件以外之條件。正常條件可設為恢復條件。恢復條件意指判定為異常恢復之條件。例如，就圖2所示之機車1而言，於產生檢測感測器21之斷線等之情形時，若其後檢測出連接有配線，則判定為檢測感測器21之斷線恢復。例如，於圖2所示之引擎單元20之點火裝置產生異常之情形時，難以準確地判定自異常之恢復。因此，當將主開關11操作為接通後，操作為斷開時，暫時判定為機車1之點火裝置之異常恢復。如此，針對每個異常判定項目，恢復條件亦可不同。再者，於正常條件與恢復條件不同之情形時，針對利用異常判定項目選擇處理所選擇出之選擇異常判定項目，有時正常判定處理未判定為正常，且異常判定處理未判定為異常。於此情形時，就圖4之異常檢測裝置40之處理器32所執行之處理而言，針對由異常判定項目選擇部44所選擇出之選擇異常判定項目，於在某一驅動週期中，正常判定部42b未判定為正常且異常判定部42a未判定為異常時，計數器記憶處理部45維持記憶於計數器記憶區域49之正常判定數之計數。 於本發明之異常檢測裝置中，正常判定數之數量可為2個以上。即，計數器記憶區域可記憶利用異常判定項目選擇處理所選擇出之2個以上之異常判定項目之正常判定數。又，異常記憶區域可記憶4個以上之異常判定結果。作為該情形之具體例，將上述實施形態之異常檢測裝置40之記憶裝置47中所儲存之資料的變化例示於圖12。圖12係表示記憶於異常記憶區域48之異常碼及記憶於計數器記憶區域49之正常判定數之一例。異常記憶區域48具有可儲存4個異常碼之4個個別區域48a、48b、48c、48d。於圖12之例中，於異常記憶區域48儲存有異常碼A、異常碼C、異常碼E之3個異常碼。剩餘1個個別區域48d為未儲存有異常碼之空閒個別區域。異常碼C儲存於異常記憶區域48內之優先級最高之個別區域48a。異常碼A儲存於異常記憶區域48內之優先級為2之個別區域48b。異常碼E儲存於異常記憶區域48內之優先級為3之個別區域48c。異常記憶區域48內之優先級最低之個別區域48d為空閒個別區域。計數器記憶區域49具有可記憶正常判定數之2個個別區域49a、49b。圖12中將計數器記憶區域49所具有之2個個別區域49a及49b表示為計數器A及計數器B。異常判定項目選擇部44選擇儲存於異常記憶區域48內之優先級為1及2之個別區域48a及48b的異常碼C及異常碼A所示之異常判定項目。然後，計數器記憶區域49將儲存於異常記憶區域48內之優先級為1之個別區域48a的異常碼C所示之異常判定項目之正常判定數儲存於計數器A。又，計數器記憶區域49將儲存於異常記憶區域48內之優先級為2之個別區域48b的異常碼A所示之異常判定項目之正常判定數儲存於計數器B。即，計數器記憶區域49針對異常碼C所示之異常判定項目，將正常判定部42b判定為正常之正常判定數之計數記憶於計數器A。又，計數器記憶區域49針對異常碼A所示之異常判定項目，將正常判定部42b判定為正常之正常判定數之計數記憶於計數器B。 於本實施形態之異常檢測裝置中，於表示由異常判定處理判定為存在異常之異常判定項目之異常碼成為異常記憶區域的個別區域之數量以上之情形時，異常記憶處理將超過異常記憶區域之個別區域之數量的異常碼記憶於除異常記憶區域以外之記憶區域，但並不限定於此。於本發明之異常檢測裝置中，於表示由異常判定處理判定為存在異常之異常判定項目之異常碼成為異常記憶區域的個別區域之數量以上之情形時，亦可不藉由異常記憶處理將超過異常記憶區域之個別區域之數量之異常碼記憶於記憶區域。藉此，可進一步減少異常記憶區域之容量。因此，本發明之異常檢測裝置可減少記憶區域之容量，且提高引擎單元之異常之檢測之可靠性。 於本實施形態之異常檢測裝置中，異常檢測裝置藉由異常判定處理而針對複數個異常判定項目，基於利用參數檢測裝置所檢測出之複數個參數中之至少1個參數而判定異常。又，於實施形態之異常檢測裝置中，藉由正常判定處理而針對在異常記憶區域記憶有異常判定結果之異常判定項目，基於利用參數檢測裝置所檢測出之複數個參數中之至少1個參數而判定正常。然而，於本發明之異常檢測裝置中，正常判定處理可包含於異常判定處理。於該情形時，異常判定處理針對經判定為存在異常之異常判定項目，基於利用參數獲取處理所獲取之複數個參數中之至少1個參數而判定正常。 於本實施形態之異常檢測裝置中，藉由異常判定項目選擇處理而自於異常記憶區域記憶有異常判定結果之異常判定項目之中選擇異常判定項目。又，於本實施形態之異常檢測裝置中，藉由異常抹除處理而將記憶於異常判定項目之計數器記憶區域之正常判定數初始化。然而，本發明之異常檢測裝置亦可進而使處理器執行包括異常判定項目選擇處理及異常抹除處理之關聯變更處理，該關聯變更處理用於將由異常判定項目選擇處理所選擇出之異常判定項目變更並重新選擇。於關聯變更處理中，將異常判定項目選擇部所選擇之異常判定項目變更，並且將已變更之異常判定項目之記憶於計數器記憶區域之正常判定數初始化。 於本實施形態之異常檢測裝置中，異常記憶處理係於在異常記憶區域之所有個別區域已記憶有異常碼之情形時，以如下方式進行處理。異常記憶處理係於針對未記憶於異常記憶區域之表示新異常判定項目之異常碼，藉由異常判定處理而判定為存在異常時，不將該表示新異常判定項目之異常碼記憶於異常記憶區域。然而，本發明之異常檢測裝置亦可於異常記憶處理中，在針對未記憶於異常記憶區域之表示新異常判定項目之異常碼，藉由異常判定處理而判定為存在異常時，以如下方式進行處理。於異常記憶處理中，將表示未由異常判定項目選擇處理選擇出之異常判定項目之異常碼且記憶於優先級最低之個別區域之異常碼刪除。而且，於異常記憶處理中，在異常記憶區域設置空閒個別區域。於異常記憶處理中，將該表示新異常判定項目之異常碼記憶於異常記憶區域之空閒個別區域。再者，於該表示新異常判定項目之異常碼存在複數個之情形時，亦可於異常記憶處理中，將已記憶於異常記憶區域之複數個異常碼刪除。於此情形時，於異常記憶處理中，將表示未由異常判定項目選擇處理選擇出之異常判定項目之異常碼且按照優先級由低至高之順序記憶於個別區域之異常碼刪除。 本發明之車輛並不限定於機車。本發明之車輛亦可為除機車以外之跨坐型車輛。又，本發明之車輛並不限定於跨坐型車輛。所謂跨坐型車輛係指騎乘者以如跨坐於鞍部之狀態乘坐之所有車輛。跨坐型車輛包括機車(包含速克達)、三輪車、水上機車、雪上摩托車等。跨坐型車輛以外之車輛包括四輪車。the following, Referring to the pattern diagram of Figure 1, An abnormality detecting device 40 according to an embodiment of the present invention will be described. The abnormality detecting device 40 according to the embodiment of the present invention detects an abnormality of the engine unit 20. The engine unit 20 is mounted on the vehicle 1 . The abnormality detecting device 40 is mounted on the vehicle 1 . In Figure 1, The vehicle 1 is a locomotive of a straddle type vehicle. Furthermore, The vehicle 1 is not limited to a straddle type vehicle or a locomotive.  The abnormality detecting device 40 has a plurality of parameter detecting devices 21, The processor 32 and the memory device 47. The processor 32 is configured or programmed to perform a parameter acquisition process S21, Abnormal determination processing S22, Normal determination processing S23, Abnormal memory processing S24, Abnormal determination item selection processing S25, Counter memory processing S26, And the abnormal erase processing S27. The memory device 47 includes an abnormal memory area 48 and a counter memory area 49.  A plurality of parameter detecting means 21 detects a plurality of parameters related to the state of the vehicle 1. The engine unit 20 includes an engine body, Exhaust system, Intake system, And the speed changer. Exhaust system, Intake system, And the transmission is connected to the engine body. The parameter detecting device 21 includes a vehicle speed sensor, Engine speed sensor, Cooling water temperature sensor, Intake air temperature sensor, Throttle position sensor, Intake pressure sensor, Oxygen sensor, Gear position sensor, Outside the temperature sensor, etc. Also included are various sensors that detect a plurality of parameters associated with the state of the vehicle 1 that includes the engine unit 20.  The parameter acquisition processing S21 acquires a plurality of parameters detected by the plurality of parameter detecting means 21.  The abnormality determination process S22 is for each of a plurality of abnormality determination items for determining the abnormality of the engine unit 20, The abnormality is determined based on at least one of the plurality of parameters acquired by the parameter acquisition processing S21.  The abnormal memory processing S23 is stored in the abnormal memory area 48 as a result of the abnormality determination as a result of the abnormality determination in the abnormality determination processing S22 for at least one abnormality determination item.  The normal determination processing S24 is for an abnormality determination item in which an abnormality determination result is stored in the abnormal memory area 48, The determination is normal based on at least one of the plurality of parameters acquired by the parameter acquisition processing S21.  The abnormality determination item selection processing S25 is among the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area 48. An abnormality determination item whose number is less than the total number of abnormality determination items is selected as the selection abnormality determination item.  The counter memory processing S26 is for the selection abnormality determination item selected by the abnormality determination item selection processing S25. The number of times determined to be normal in the normal determination processing S24 is counted. The counter memory processing S26 stores the counted number of times as a normal determination number in the counter memory area 49.  The abnormal erasing process S27 is when the number of normal determinations of the selection abnormality determination item reaches a certain number of times. The abnormality determination result of the selection abnormality determination item that has reached the predetermined number of normal determinations is erased from the abnormal memory area 48. The specific number of times is set in advance. also, The abnormal erasing process S27 initializes the normal number of judgments stored in the counter memory area 49 of the selection abnormality determination item in which the number of normal determinations reaches a certain number of times.  The abnormality detecting device 40 according to the embodiment of the present invention has the following features.  The abnormality determination item selection processing S25 is among the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area 48. An abnormality determination item whose number is less than the total number of abnormality determination items is selected as the selection abnormality determination item. The counter memory processing S26 is for the selection abnormality determination item selected by the abnormality determination item selection processing S25. The number of times the normal determination processing S24 is determined to be normal is counted. also, The counter memory processing S26 stores the counted number of times as a normal determination number in the counter memory area 49. which is, The number of normal determination numbers memorized in the counter memory area 49 is the number of selection abnormality determination items selected by the abnormality determination item selection processing S25. And the number is less than the total number of abnormality determination items. With this, The capacity of the memory area of the abnormality detecting device 40 can be reduced. The abnormal erasing process S27 erases the abnormality determination result of the selection abnormality determination item whose normal number of determinations has reached a certain number of times from the abnormal memory area 48. also, The abnormal erasing process S27 initializes the normal number of judgments stored in the counter memory area 49 of the selection abnormality determination item in which the number of normal determinations reaches a certain number of times. which is, The abnormal erasing process S27 is a selection abnormality determination item for which the number of normal determinations reaches a certain number of times. The abnormality determined in the abnormality determination processing S24 is erroneous detection. and, The abnormal erasing process S27 is to delete the abnormality determination result of the selection abnormality determination item whose normal number of determinations has reached a certain number of times from the abnormal memory area 48. also, The abnormal erasing process S27 initializes the normal number of judgments stored in the counter memory area 49 of the selection abnormality determination item in which the number of normal determinations reaches a certain number of times. With this, The abnormal erase processing S27 can verify the reliability of the detection of the abnormality of the engine unit 20.  therefore, The abnormality detecting device 40 of the present invention can reduce the capacity of the memory area, And the reliability of the detection of the abnormality of the engine unit 20 is improved.  the following, Specific examples of the embodiments of the present invention will be described in detail with reference to the drawings. Here, As the vehicle 1 having the abnormality detecting device of the present invention, An example of application to a locomotive as a type of straddle type vehicle will be described. An example of the locomotive 1 is shown in FIG. Furthermore, In the following description, Description of the same portions as the above-described embodiments of the present invention will be omitted. Basically, Specific examples of the embodiment of the present invention include all the embodiments of the present invention described above.  (Specific example 1 of the present embodiment) First, The abnormality detecting device 40 of the specific example 1 of the present embodiment will be described with reference to Figs. 2 to 3 . Fig. 2 is a block diagram of a locomotive 1 including the abnormality detecting device 40 of the specific example 1 of the embodiment. Fig. 3 is a schematic view showing an example of data stored in the memory device 47 of the abnormality detecting device 40 of the specific example 1 of the embodiment. in particular, FIG. 3 schematically shows an example of data stored in the abnormal memory area 48 and the counter memory area 49 included in the memory device 47.  <Composition of Locomotive 1> Based on Figure 2, The configuration of the locomotive 1 including the abnormality detecting device 40 of the specific example 1 of the present embodiment will be described. The locomotive 1 has an engine unit 20 and an ECU (Electronic Control Unit, Electronic control unit) 30. The engine unit 20 includes an engine body, Exhaust system, Intake system, And the speed changer. Exhaust system, Intake system, And the transmission is connected to the engine body. The locomotive 1 including the engine unit 20 has a plurality of detection sensors 21. Each detection sensor 21 detects a parameter related to the state of the locomotive 1. A plurality of detection sensors 21 include a vehicle speed sensor, Engine speed sensor, Cooling water temperature sensor, Various sensors such as an intake air temperature sensor. The speed sensor detects the speed of the locomotive 1. The engine speed sensor detects the speed of the crankshaft, That is the engine speed. The cooling water temperature sensor detects the temperature of the cooling water that cools the engine body. The intake air temperature sensor detects the temperature of the air taken in by the engine unit 20. The plurality of detection sensors 21 correspond to a plurality of parameter detecting means 21 of the present invention. A plurality of detection sensors 21 are connected to the ECU 30.  The ECU 30 controls the operation of each part of the locomotive 1. The ECU 30 has a processor 32 and a memory device 47. The processor 32 includes a CPU (Central Processing Unit) or the like. The memory device 47 includes a ROM (Read Only Memory), RAM (Random Access Memory), etc. The processor 32 performs information processing based on a program or various materials stored in the memory device 47 such as a ROM or a RAM. In the case where the processor 32 is a programmable processor, Processor 32 can also be programmed to perform the following series of processes. as shown in picture 2, The processor 32 has an engine control unit 31 and an abnormality detecting unit 41 as functional processing units. The engine control unit 31 controls the operation of the engine unit 20. The abnormality detecting unit 41 detects an abnormality of the engine unit 20 mounted on the locomotive 1 .  also, A main switch 11 and a battery 12 are connected to the ECU 30. The main switch 11 is provided, for example, to the handle unit 10 of the locomotive 1 (refer to FIG. 1). The battery 12 is supported by the body frame of the locomotive 1. Battery 12 pairs ECU 30, An electronic device such as the plurality of detection sensors 21 and the display device 13 described below supplies electric power. The main switch 11 is, for example, a key switch that operates using a key. When the main switch 11 is operated to be turned on, The electric power stored in the battery 12 is supplied to the engine unit 20, ECU30, And an electronic device such as the display device 13 described below. When the main switch 11 is operated to be turned off, Stopping from the battery 12 to the engine unit 20, ECU30, And the power supply of the electronic device such as the display device 13 described below.  The locomotive 1 has a display device 13. The display device 13 is attached to, for example, the handle unit 10 of the locomotive 1 (see FIG. 1). The display device 13 is disposed at a position that is visible to the driver who is seated in the seat portion of the locomotive 1. The display device 13 displays the vehicle speed, Engine speed, Gear position, A warning light indicating various warnings, etc. The display device 13 is connected to the report command unit 50 described below.  When the engine start switch is operated to be turned on, The engine control unit 31 activates the starter motor to start the engine unit 20. The engine start switch is provided, for example, to the handle unit 10 of the locomotive 1 (refer to FIG. 1). The engine control unit 31 controls the fuel injection amount and the like based on the parameters detected by the plurality of detection sensors 21 and the like.  <Configuration of Abnormality Detection Device 40> Based on FIG. 2, The overall configuration of the abnormality detecting device 40 of the specific example 1 of the present embodiment will be described. The abnormality detecting device 40 of the first specific example of the embodiment has the plurality of detecting sensors 21, The processor 32, And a memory device 47. The processor 32 includes an abnormality detecting unit 41 as a function processing unit. The abnormality detecting device 40 is mounted on the locomotive 1 . The abnormality detecting unit 41 has a parameter acquiring unit 41a, Abnormality determining unit 42a, Normal determination unit 42b, The abnormal memory processing unit 43, Abnormal determination item selection unit 44, Counter memory processing unit 45, The abnormal erase unit 46 and the report command unit 50 function as a function processing unit. The memory device 47 has an abnormal memory area 48 and a counter memory area 49. Furthermore, The parameter acquisition unit 41a is a function processing unit of the parameter acquisition processing of the present invention. The abnormality determining unit 42a is a functional processing unit of the abnormality determining process of the present invention. The normal determination unit 42b is a function processing unit of the normal determination process of the present invention. The abnormal memory processing unit 43 is a function processing unit of the abnormal memory processing of the present invention. The abnormality determination item selection unit 44 is a function processing unit of the abnormality determination item selection processing of the present invention. The counter memory processing unit 45 is a function processing unit of the counter memory processing of the present invention. The abnormal erase unit 46 is a function processing unit of the abnormal erase processing of the present invention. The report command unit 50 is a function processing unit that processes the report instructions of the present invention.  The parameter acquisition unit 41a acquires a plurality of parameters related to the state of the locomotive 1 detected by the plurality of detection sensors 21.  The abnormality determining unit 42a refers to a plurality of abnormality determining items for determining the abnormality of the engine unit 20, The abnormality is determined based on at least one of the plurality of parameters acquired by the parameter acquisition unit 41a. In detail, The abnormality determining unit 42a is based on the acquired at least one parameter. It is judged whether or not the abnormality determination condition for determining the abnormality determined in advance for each abnormality determination item is satisfied. then, The abnormality determining unit 42a determines an abnormality determination item that satisfies the abnormality determination condition. It is determined that there is an abnormality. E.g, When the abnormality determination item is an abnormality of the intake air temperature sensor 21, The abnormality determination condition is that after a certain time has elapsed since the engine start switch is turned on, The temperature detected by the intake air temperature sensor 21 is outside the preset normal range. When the intake air temperature sensor 21 generates an abnormal situation, The temperature detected by the intake air temperature sensor 21 is outside the normal range set in advance. In this case, The abnormality determining unit 42a determines that there is an abnormality in the intake air temperature sensor 21. Furthermore, It is also possible to determine an abnormality for a plurality of abnormality determination items using one parameter. also, It is also possible to determine an abnormality for one abnormality determination item based on a plurality of parameters. The abnormality determination item includes, in addition to the engine body for determining the engine unit 20, Exhaust system, Intake system, Or an abnormality determination item of the abnormality of the transmission, An abnormality determination item for determining the abnormality of the parameter detecting means 21 is also included.  The abnormality determining unit 42a is preferably for each driving cycle, Each of the plurality of abnormality determination items of the engine unit 20 determines an abnormality. This determination may also be made in all drive cycles. Preferably, the determination is made in successive multiple drive cycles. also, It can also be used to vacate a specific number of drive cycles. This determination is made. The drive period counts the period during which the autonomous switch 11 is operated to be turned on until it is turned off. As mentioned above, In order to start and stop the supply of power to the engine unit 20, The main switch 11 is operated.  The abnormality memory processing unit 43 stores the result of the abnormality determination unit 42a as an abnormality determination item as an abnormality determination result in the abnormality memory area 48. The abnormal memory area 48 can memorize a plurality of abnormality determination results. The number of abnormality determination results that can be memorized by the abnormal memory area 48 is the same as the total number of abnormality determination items. The total number of abnormality determination items refers to the total number of abnormality determination items used to determine the abnormality of the engine unit 20. which is, As shown in Figure 3, The abnormal memory area 48 can memorize the abnormality determination item, The result of the abnormality determination and the following priorities. and, The abnormal memory area 48 memorizes the abnormality determination result regarding all abnormality determination items. Furthermore, In the example shown in Figure 3, Using the exception code indicating the abnormality determination item, Pre-memorize the abnormality determination item. in particular, Five abnormal codes of abnormal codes A to E are memorized in advance. The abnormal code A is an abnormal code indicating the abnormality of the intake pressure sensor 21. The abnormal code B is an abnormal code indicating the abnormality of the cooling water temperature sensor 21. The abnormal code C is an abnormal code indicating the abnormality of the intake air temperature sensor 21. The abnormal code D is an abnormal code indicating the abnormality of the engine speed sensor 21. The abnormal code E is an abnormal code indicating the abnormality of the vehicle speed sensor 21. The exception code is preset to be different for each abnormality determination item. also, In the example shown in Figure 3, The abnormal memory processing unit 43 memorizes the abnormality determination result of the abnormality determination item determined to be abnormal by the abnormality determining unit 42a. With this, The abnormality determination result is memorized in the abnormal memory area 48. Furthermore, In the example shown in Figure 3, The initial value of the abnormality determination result of the abnormal memory area 48 is zero.  The abnormal memory processing unit 43 is configured to store the abnormality determination result in the abnormal memory area 48. The priority is set for the abnormality determination result. in particular, The abnormal memory processing unit 43 is configured to have stored at least one abnormality determination result in the abnormal memory area 48. The priority of the abnormality determination result is set as follows. The abnormality memory processing unit 43 sets the priority of the abnormality determination result newly stored in the abnormal memory area 48 so as to be lower than the priority of the abnormality determination result stored in the abnormal memory area 48.  E.g, In the example shown in Figure 3, The abnormality determining unit 42a has determined that there is an abnormality in the intake air temperature sensor. Here, The abnormal code indicating the abnormality determination item of the intake air temperature sensor is the abnormal code C. and, The abnormality judgment result of the abnormal code C is 1, The abnormality determination result of the abnormal code C has been memorized in the abnormal memory area 48. at this time, The abnormality determination result of the abnormality determination item other than the abnormality determination item of the abnormality of the intake air temperature sensor is not memorized. therefore, For the abnormality judgment result of the abnormal code C, Set the priority to 1. Thereafter, The abnormality determining unit 42a determines that there is an abnormality in the intake pressure sensor. The abnormal code indicating the abnormality determination item of the intake pressure sensor is the abnormal code A. The abnormal memory processing unit 43 stores the abnormality determination result of the abnormal code A at 1 and stores it in the abnormal memory region 48. also, The abnormality determination result of the abnormal code A by the abnormal memory processing unit 43 Set the priority to 2. Furthermore, In this embodiment, Regarding priorities, 1 is the highest, After 2, the priority will decrease each time the value increases.  also, The abnormality memory processing unit 43 determines the priority of the abnormality determination result of the abnormality determination item determined to be abnormal by the abnormality determining unit 42a among the abnormality determination results of the abnormality determination items stored in the abnormality memory area 48, The change is made lower than the priority of the abnormality determination result of the other abnormality determination item stored in the abnormal memory area 48. especially, When the abnormality determination unit 42a determines that there is an abnormality by the abnormality determination unit 42a selected by the abnormality determination item selection unit 44, The abnormality memory processing unit 43 sets the priority of the abnormality determination result of the abnormality determination item determined to be abnormal to be lower than the priority of the other abnormality determination result stored in the abnormal memory area 48. which is, The priority of the abnormality determination result of the abnormality determination item determined to be abnormal by the abnormality determining unit 42a is set to the lowest in the abnormality determination result of the abnormality determination item stored in the abnormality memory area 48. E.g, In the example shown in Figure 3, When it is determined that the abnormality of the intake air temperature sensor is abnormal, The priority of the abnormality determination result of the abnormal code C is changed from the priority 1 to the priority 3 so as to be lower than the priority 2 of the abnormality determination result of the abnormal code A.  The normal determination unit 42b detects an abnormality determination item in which the abnormality determination result is stored in the abnormal memory area 48, The determination is normal based on at least one of the plurality of parameters acquired by the parameter acquisition unit 41a. In detail, The normal determination unit 42b is based on the acquired at least one parameter. It is judged whether or not the normal determination condition for determining the normality determined for each abnormality determination item is satisfied. then, The normal determination unit 42b determines an abnormality determination item that satisfies the normal determination condition. It is judged to be normal. E.g, When the abnormality determination item is an abnormality of the intake air temperature sensor 21, The normal determination condition is after a certain period of time since the engine start switch is turned on. The temperature detected by the intake air temperature sensor 21 is within a predetermined normal range. which is, The normal determination condition of the intake air temperature sensor 21 is that the abnormality determination condition is not satisfied. If the intake air temperature sensor 21 is normal, Then, the temperature detected by the intake air temperature sensor 21 becomes within a predetermined normal range. In this case, The normal determination unit 42b determines that the intake air temperature sensor 21 is normal.  The normal determination section 42b is for each drive cycle, The abnormality determination item in which the abnormality determination result is stored in the abnormal memory area 48 is judged to be normal. Furthermore, This determination may also be made in all drive cycles. Preferably, the determination is made in successive multiple drive cycles. also, It can also be used to vacate a specific number of drive cycles. This determination is made.  The abnormality determination item selection unit 44 selects an abnormality determination item from among the abnormality determination items in which the abnormality determination result is stored in the abnormality memory area 48. The number of abnormality determination items selected by the abnormality determination item selection unit 44 is set in advance. The number of abnormality determination items set in advance is set as the number of selected items. The number of selected items is less than the total number of abnormality determination items. The number of selected items can be one, It can also be plural. In the case of the specific example of Figure 3, The number of selected items is one.  in particular, The abnormality determination item selection unit 44 is at the following time point. Among the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area 48, An abnormality determination item whose number is less than the total number of abnormality determination items is selected. The first time point system abnormality determining unit 42a determines an abnormality for the abnormality determining item. The second time point system abnormality erasing unit 46 erases the selection abnormality determination item selected by the abnormality determination item selection unit 44 from the abnormal memory area 48.  The abnormality determination item selection unit 44a is in descending order of priority of the abnormality determination result set by the abnormality memory processing unit 43. The abnormality determination item is selected as the selection abnormality determination item. In other words, The abnormality determination item selection unit 44 follows the order of priority of the abnormality determination result from high to low. The selection abnormality determination item is selected from the abnormality determination item memorized in the abnormal memory area 48. Furthermore, When the number of abnormality determination items stored in the abnormal memory area 48 is less than the number of selected items, The abnormality determination item selection unit 44 selects all the abnormality determination items stored in the abnormality memory area 48 as the selection abnormality determination items. In the specific example of FIG. 3, The abnormality determination item selection unit 44 selects an abnormality determination item indicating the abnormality code C having the priority of 1 as the selection abnormality determination item. Furthermore, An arrow from the abnormal memory area 48 shown in FIG. 3 toward the counter memory area 49 is indicated as a selection abnormality determination item selected by the abnormality determination item selection unit 44. The same is true for other figures showing an example of the data stored in the abnormal memory area 48 and the counter memory area 49 included in the memory device 47.  The counter memory processing unit 45 selects an abnormality determination item selected by the abnormality determination item selection unit 44, The number of times the normal determination unit 42b determines that it is normal is counted. then, The counter memory processing unit 45 stores the counted number of times as the normal determination number in the counter memory area 49. The counter memory area 49 has the same number of individual areas 49a as the number of selection abnormality determination items. The counter memory area 49 memorizes the normal determination number in the individual area 49a. which is, The number of normal determination numbers memorized in the counter memory area 49 is the same as the number of selection abnormality determination items. In the case of the specific example of Figure 3, The number of individual areas 49a is one. also, The number of normal judgments memorized in the counter memory area 49 is one.  The initial value of the normal number of judgments stored in the counter memory area 49 is zero. For the selection abnormality determination item selected by the abnormality determination item selection unit 44, When the normal determination unit 42b determines that it is normal, The counter memory processing unit 45 increments the count of the number of normal judgments stored in the counter memory area 49 one by one from 0. The normal determination unit 42b performs only one determination in one drive cycle. Therefore, the count of the normal judgment number is increased by at most only one in one drive cycle.  on the other hand, When the abnormality determination unit 42a determines that there is an abnormality in the abnormality determination item selected by the abnormality determination item selection unit 44, The counter memory processing unit 45 initializes the normal determination number stored in the counter memory area 49 of the selection abnormality determination item determined to be abnormal. which is, When the abnormality determination unit 42a determines that there is an abnormality in the abnormality determination item selected by the abnormality determination item selection unit 44, The counter memory processing unit 45 initializes the normal determination number of the selection abnormality determination item determined to be abnormal. In the case of this specific example, The initialization of the normal decision number means that the count of the normal number of determinations is zero.  When the number of normal determinations of a certain abnormality determination item reaches a certain number of times, the abnormal erase unit 46 The abnormality determination result of the selection abnormality determination item is erased from the abnormal memory area 48. which is, When the number of normal judgments reaches a certain number of times, The abnormality erasing unit 46 erases the abnormality determination result of the selection abnormality determination item whose number of normal determinations has reached a certain number of times from the abnormality memory area 48. The specific number of times can be set in advance any number of times. The specific number of times is, for example, three times. then, The abnormal erase unit 46 initializes the normal determination number stored in the counter memory area 49 of the selection abnormality determination item whose number of normal determinations reaches a certain number of times.  When there is at least one abnormality determination result in the abnormal memory area 48, The report command unit 50 transmits a signal to the reporting unit to report an abnormality of the abnormality determination item in which the abnormality determination result has been determined. in particular, The report command unit 50 transmits a signal to the display device 13 to display a warning light or the like indicating that the abnormality determination item of the abnormality determination result has been determined. The report unit of the present invention includes a report command unit 50 and a display device 13. In this embodiment, The reporting mechanism is the display device 13, However, it is not limited to this.  <Processing performed by the processor 32 of the abnormality detecting device 40> Next, Referring to Figures 3 to 7, The processing executed by the processor 32 of the abnormality detecting device 40 of the specific example 1 of the present embodiment will be described based on a specific example. Fig. 4 is a flowchart showing an example of the procedure of processing executed by the processor 32 of the abnormality detecting device 40 of the specific example 1 of the embodiment. Fig. 4 shows the processing executed by the processor 32 of the abnormality detecting device 40 in the one-time drive cycle. 5 to 7 are views showing an example of data stored in the memory device of the abnormality detecting device of the first specific example of the embodiment.  As shown in Figure 4, First of all, The counter memory processing unit 45 reads the count stored in the counter memory area 49 (step S1). In a specific example of the specific example 1 of the embodiment, The data shown in FIG. 3 is stored in advance in the memory device 47. Furthermore, The memory device 47 may also not store data. In the case of the specific example of Figure 3, Read n as a count. also, The abnormality determination item selection unit 44 reads the cancellation target code (step S2: Abnormal judgment item selection processing). Furthermore, The abnormality code indicating the selected abnormality determination item selected by the abnormality determination item selection unit 44 is set as the cancellation target code. The abnormality determination item selection unit 44 selects an abnormality determination item of the abnormal memory area 48 stored in the number of normal determination numbers of the counter memory area 49 as the selection abnormality determination item. The abnormality determination item selection unit 44 follows the order of priority from high to low. Select the selection abnormality determination item. In the specific example of FIG. 3, The number of normal judgments memorized in the counter memory area 49 is one. also, In the abnormal memory area 48, The abnormality determination result of the abnormal code A and the abnormal code C is memorized. The exception code A has a priority of 2, The priority code C has a priority of 1. which is, The abnormal code C having the highest priority indicates the abnormal code of the selected abnormality determination item selected by the abnormality determination item selecting unit 44. therefore, The abnormal code C is read as an abnormal code indicating the selected abnormality determination item selected by the abnormality determination item selecting unit 44. In the specific example of FIG. 3, The exception code C becomes the cancellation target code.  In the case of the specific example of Figure 3, The abnormality determination result of the abnormal code A and the abnormal code C is stored in the abnormal memory area 48. and, The report instructing section 50 causes the display device 13 to display a warning light. The warning lamp shows an abnormality indicating an abnormality determination item of the abnormal code A and the abnormal code C (step S2: Report instruction processing).  Secondly, The parameter acquisition unit 41a acquires a plurality of parameters related to the state of the locomotive 1 detected by the plurality of detection sensors 21 (step S3: Parameter acquisition processing). then, The normal determination unit 42b detects an abnormality determination item in which the abnormality determination result is stored in the abnormal memory area 48, The determination is normal based on at least one parameter acquired by the parameter acquisition unit 41a (step S3: Normal judgment processing).  When there is an abnormality determination item determined to be normal by the normal determination unit 42b (step S3: Yes (YES), The abnormality code indicating the abnormality determination item determined to be normal by the normal determination unit 42b is set as the normal determination code. then, The counter memory processing unit 45 determines whether or not the normal determination code is the same as the cancellation target code (step S4: Counter memory processing). The cancellation target code is an abnormal code indicating the selection abnormality determination item selected by the abnormality determination item selection unit 44. which is, The counter memory processing unit 45 determines whether or not the abnormality determination item determined to be normal by the normal determination unit 42b is the selected abnormality determination item selected by the abnormality determination item selection unit 44. In the specific example of FIG. 3, The abnormal code indicating that the abnormality determination item is selected is the abnormal code C. then, The counter memory processing unit 45 determines whether or not the normal determination code is the abnormal code C.  When the normal determination code is different from the cancellation target code (step S4: No (NO), End processing. on the other hand, When the normal determination code is the same as the cancellation target code (step S4: Yes), The counter memory processing unit 45 increments the count of the number of normal determinations of the normal determination code stored in the counter memory area 49 (step S5: Counter memory processing). then, The abnormal erase unit 46 determines whether the count of the normal number of determinations after the increment is the same as N (step S6: Abnormal erase processing). which is, The abnormal erase unit 46 determines whether or not the count of the normal number of determinations is the same as N. N is a specific number of times.  When the count of the normal judgment number is different from N (step S6: no), The counter memory processing unit 45 stores the incremented count in the counter memory area 49 (step S7: Counter memory processing). then, End processing.  When the count of the normal judgment number is the same as N (step S6: Yes), The abnormal erase unit 46 initializes the count of the number of normal determinations of the normal determination code stored in the counter memory area 49, And stored in the counter memory area 49 (step S8: Abnormal erase processing). which is, As shown in the specific example of FIG. 5(a), The abnormal erase unit 46 causes the count of the normal number of judgments memorized in the counter memory area 49 to be 0, And stored in the counter memory area 49. also, The abnormality erasing unit 46 erases the abnormality determination result of the selection abnormality determination item whose count of the normal determination number reaches N from the abnormal memory area 48 (step S9: Abnormal erase processing). As shown in the specific example of FIG. 5(a), The abnormal code indicating that the abnormality determination item is selected is the abnormal code C. then, The abnormal erase unit 46 erases the abnormality determination result of the abnormal code C from the abnormal memory area 48. which is, The abnormality determination result of the abnormal code C of the abnormal memory area 48 becomes zero.  Secondly, The report command unit 50 determines whether the abnormal memory area 48 is free (step S10: Report instruction processing). which is, The report command unit 50 determines whether or not the abnormality determination result stored in the abnormal memory area 48 is all zero. When the abnormal memory area 48 is idle (step S10: Yes), The report command unit 50 causes the warning light displayed on the display device 13 to be turned off (step S11: Report instruction processing). then, End processing.  on the other hand, When the abnormal memory area 48 is not idle (step S10: no), The abnormality memory processing unit 43 arranges the abnormality determination results stored in the abnormal memory region 48 in the order of priority (step S12: Abnormal memory processing). which is, The priority of the abnormality determination result stored in the abnormal memory area 48 is sequentially arranged from one. In the specific example of FIG. 5(a), As shown in Figure 5(b), The priority of the abnormality determination result of the abnormal code A is changed from 2 to 1. also, The abnormality determination item selection unit 44 follows the order of priority of the abnormality determination result set by the abnormality memory processing unit 43 from high to low. The abnormality determination item is selected as the selection abnormality determination item (step S12: Abnormal judgment item selection processing). The abnormality determination item selection unit 44 is among the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area 48. Select the selection abnormality determination item. In the specific example of FIG. 5(b), By the abnormality determination item selection unit 44, The abnormal code A having the priority of the abnormality determination result of 1 is selected as the selection abnormality determination item. then, End processing.  on the other hand, When there is no abnormality determination item determined to be normal by the normal determination unit 42b (step S3: no), The abnormality determining unit 42a is for a plurality of abnormality determining items, The abnormality is determined based on at least one of the plurality of parameters acquired by the parameter acquisition unit 41a (step S13: Abnormal judgment processing).  When there is an abnormality determination item determined to be abnormal by the abnormality determining unit 42a (step S13: Yes), The abnormality code indicating the abnormality determination item determined to be abnormal by the abnormality determining unit 42a is set as the abnormality determination code. then, The counter memory processing unit 45 determines whether or not the abnormality determination code is the same as the cancellation target code (step S14: Counter memory processing). The cancellation target code is an abnormal code indicating the selection abnormality determination item selected by the abnormality determination item selection unit 44. which is, The counter memory processing unit 45 determines whether or not the abnormality determination item determined to be abnormal by the abnormality determining unit 42a is the selected abnormality determination item selected by the abnormality determination item selecting unit 44. In the specific example of FIG. 3, The abnormal code indicating that the abnormality determination item is selected is the abnormal code C. then, The counter memory processing unit 45 determines whether or not the abnormal code indicating the abnormality determination item determined to be abnormal is the abnormal code C.  When the abnormality determination code is the same as the cancellation target code (step S14: Yes), The counter memory processing unit 45 initializes the count of the number of normal determinations of the abnormality determination code stored in the counter memory area 49, And stored in the counter memory area 49 (step S15: Counter memory processing). which is, The count of the number of normal judgments of the abnormality determination code memorized in the counter memory area 49 is 0, And it is memorized in the counter memory area 49. then, The abnormality memory processing unit 43 sets the priority of the abnormality determination result of the abnormality determination item determined to be abnormal to the lowest priority (step S16: Abnormal memory processing). In a specific example, As shown in Figure 6(a), The priority of the abnormality determination result of the abnormal code C is changed from 1 to 5. then, The abnormality memory processing unit 43 arranges the abnormality determination results stored in the abnormal memory region 48 in the order of priority (step S12: Abnormal memory processing). which is, The priority of the abnormality determination result stored in the abnormal memory area 48 is sequentially arranged from one. In the specific example of FIG. 6(b), Change the priority of the abnormality determination result of the abnormal code A from 2 to 1, The priority of the abnormality determination result of the abnormal code B is changed from 5 to 2. also, The abnormality determination item selection unit 44 follows the order of priority of the abnormality determination result set by the abnormality memory processing unit 43 from high to low. The abnormality determination item is selected as the selection abnormality determination item (step S12). The abnormality determination item selection unit 44 is among the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area 48. Select the selection abnormality determination item. In the specific example of FIG. 6(b), By the abnormality determination item selection unit 44, The abnormal code A having the priority of the abnormality determination result of 1 is selected as the selection abnormality determination item. then, End processing.  on the other hand, When the abnormality determination code is different from the cancellation target code (step S14: no), The abnormality memory processing unit 43 stores the abnormality determination result of the abnormality determination item determined to be abnormal in the abnormal memory area 48. also, The abnormality memory processing unit 43 sets the priority of the abnormality determination result of the abnormality determination item determined to be abnormal to the lowest priority (step S17: Abnormal memory processing). in particular, As shown in Figure 7(a), The error determination code is set to the exception code E. The abnormal memory processing unit 43 stores the abnormality determination result of the abnormal code E in the abnormal memory area 48. also, The abnormal memory processing unit 43 sets the priority of the abnormality determination result stored in the abnormal memory area 48 to five. then, The abnormality memory processing unit 43 arranges the abnormality determination results stored in the abnormal memory region 48 in the order of priority (step S12: Abnormal memory processing). which is, The priority of the abnormality determination result stored in the abnormal memory area 48 is sequentially arranged from one. In the specific example of FIG. 7(b), The priority of the abnormality determination result of the abnormal code E is changed from 5 to 3. also, The abnormality determination item selection unit 44 follows the order of priority of the abnormality determination result set by the abnormality memory processing unit 43 from high to low. The abnormality determination item is selected as the selection abnormality determination item (step S12: Abnormal judgment item selection processing). The abnormality determination item selection unit 44 is among the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area 48. Select the selection abnormality determination item. In the specific example of FIG. 7(b), By the abnormality determination item selection unit 44, The abnormal code C having the priority of the abnormality determination result of 1 is selected as the selection abnormality determination item. then, End processing.  The abnormality detecting device 40 of the specific example 1 of the present embodiment configured as described above has the following effects. The abnormality detecting device 40 of the specific example 1 of the present embodiment is mounted on the locomotive 1. The abnormality detecting device 40 has a plurality of detecting sensors 21, The processor 32 and the memory device 47. A plurality of detection sensors 21 detect a plurality of parameters related to the state of the locomotive 1. The processor 32 has a parameter acquisition unit 41a, Abnormality determining unit 42a, Normal determination unit 42b, The abnormal memory processing unit 43, Abnormal determination item selection unit 44, Counter memory processing unit 45, And an abnormal erasing unit 46. which is, The processor 32 is configured or programmed to perform parameter acquisition processing, Abnormal determination processing, Abnormal memory processing, Normal judgment processing, Abnormal determination item selection processing, Counter memory processing, And abnormal erase processing. The memory device 47 includes an abnormal memory area 48 and a counter memory area 49. The engine unit 20 includes an engine body, Exhaust system, Intake system and transmission. Exhaust system, The intake system and the transmission are connected to the engine body. The detection sensor 21 includes a vehicle speed sensor, Engine speed sensor, Cooling water temperature sensor, Intake air temperature sensor, Throttle position sensor, Intake pressure sensor, Oxygen sensor, Gear position sensor, Outside the temperature sensor, etc. Also included are various sensors that detect a plurality of parameters related to the state of the locomotive 1 including the engine unit 20. The abnormality determining unit 42a refers to a plurality of abnormality determining items for determining the abnormality of the engine unit 20, The abnormality is determined based on at least one of the plurality of parameters acquired by the parameter acquisition unit 41a. The abnormality determination item includes, in addition to the engine body of the engine unit 20, Exhaust system, Intake system, Or an exception to the transmission, An abnormality determination item for determining the abnormality of the detection sensor 21 is also included. The abnormality memory processing unit 43 stores the result of the abnormality determination unit 42a as being abnormal for the at least one abnormality determination item as the abnormality determination result, and stores it in the abnormal memory area 48. The normal determination unit 42b detects an abnormality determination item in which the abnormality determination result is stored in the abnormal memory area 48, The determination is normal based on at least one of the plurality of parameters acquired by the parameter acquisition unit 41a. The abnormality determination item selection unit 44 is among the abnormality determination items in which the abnormality determination result is stored in the abnormality memory area 48. An abnormality determination item whose number is less than the total number of abnormality determination items is selected as the selection abnormality determination item. The counter memory processing unit 45 selects an abnormality determination item selected by the abnormality determination item selection unit 44, The number of times the normal determination unit 42b determines that it is normal is counted. also, The counter memory processing unit 45 stores the counted number of times as the normal determination number in the counter memory area 49. which is, The number of normal determination numbers memorized in the counter memory area 49 is the number of selection abnormality determination items selected by the abnormality determination item selection unit 44, And the number is less than the total number of abnormality determination items. With this, The capacity of the memory area of the memory device 47 of the abnormality detecting device 40 can be reduced. The abnormality erasing unit 46 erases the abnormality determination result of the selection abnormality determination item whose normal number of determinations has reached a certain number of times from the abnormality memory area 48. The specific number of times is set in advance. also, The abnormal erase unit 46 initializes the normal determination number stored in the counter memory area 49 of the selection abnormality determination item whose number of normal determinations reaches a certain number of times. which is, The abnormal erase unit 46 selects an abnormality determination item for which the number of normal determinations reaches a certain number of times. The abnormality determined by the determination abnormality determining unit 42a is erroneous detection. then, The abnormal erase unit 46 deletes the abnormality determination result of the selected abnormality determination item whose normal number of determinations has reached a certain number of times from the abnormal memory area 48. also, The abnormal erase unit 46 initializes the normal determination number stored in the counter memory area 49 of the abnormality determination item whose number of normal determinations has reached a certain number of times. With this, The abnormal erase portion 46 can verify the reliability of the detection of the abnormality of the engine unit 20.  therefore, The abnormality detecting device 40 of the specific example 1 of the present embodiment can reduce the capacity of the memory area of the memory device 47. And the reliability of the detection of the abnormality of the engine unit 20 is improved.  The abnormality determination item selection unit 44 is at the following point in time, Among the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area 48, Reselect the selection abnormality determination item. At this time, the abnormal erase unit 46 erases the abnormality determination result of the selection abnormality determination item whose normal number of determinations has reached a certain number of times from the abnormal memory area 48. at this time, The selection abnormality determination item that is the target of counting the number of normal determinations by the counter memory processing unit 45 disappears. then, The selection abnormality determination item that is the target of counting the number of normal determinations by the counter memory processing unit 45 is reselected. With this, The counter memory processing unit 45 can verify the reliability of the detection of the abnormality of the abnormality determination item for reselection. therefore, The abnormality detecting device 40 of the present embodiment can improve the reliability of the detection of the abnormality of the engine unit 20.  When the abnormality determination unit 42a determines that there is an abnormality in the selection abnormality determination item selected by the abnormality determination item selection unit, The counter memory processing unit 45 initializes the normal determination number stored in the counter memory area 49 of the selection abnormality determination item determined to be abnormal. The selection abnormality determination item determined to be abnormal by the abnormality determination unit 42a, The detected abnormality is less likely to be falsely detected. therefore, Initializing the normal number of decisions memorized in the counter memory area 49, And the number of normal judgments is counted again. therefore, The abnormality detecting device 40 of the present embodiment can improve the reliability of the detection of the abnormality of the engine unit 20.  The abnormal memory processing unit 43 is configured to store the abnormality determination result in the abnormal memory area 48. The priority is set for the abnormality determination result. The abnormality determination item selection unit 44 sequentially selects the selection abnormality determination item from the abnormality determination item that has determined the abnormality determination result having the higher priority. therefore, The abnormality detecting device 40 of the present embodiment can improve the reliability of the detection of the abnormality of the engine unit 20.  When the abnormality determination unit 42a determines that there is an abnormality in the abnormality determination item selected by the abnormality determination item selection unit 44, The abnormality memory processing unit 43 sets the priority of the abnormality determination result of the selection abnormality determination item determined to be abnormal by the following manner. The abnormality memory processing unit 43 sets the priority of the abnormality determination result of the selection abnormality determination item determined to be abnormal to be lower than the priority of the other abnormality determination result stored in the abnormal storage area 48. The selection abnormality determination item determined to be abnormal by the abnormality determining unit 42a, The detected abnormality is less likely to be falsely detected. therefore, The abnormality memory processing unit 43 sets the priority of the selected abnormality determination item having a low possibility that the detected abnormality is erroneously detected to be low. With this, The abnormality determination item selection unit 44 can not select an abnormality determination item in which the detected abnormality is less likely to be erroneously detected. therefore, The abnormality detecting device 40 of the present embodiment can improve the reliability of the detection of the abnormality of the engine unit 20.  When an abnormality determination result has been memorized in the abnormal memory area 48, The abnormal memory processing unit 43 performs processing as follows. The abnormality memory processing unit 43 sets the priority of the abnormality determination result newly stored in the abnormal memory area 48 so as to be lower than the priority of the abnormality determination result stored in the abnormal memory area 48. With this, An abnormality determination item for which an abnormality determination result has been memorized in the abnormal memory area 48, The reliability of the detection of the abnormality can be verified prior to the abnormality determination item newly determined by the abnormality determining unit 42a as abnormal. therefore, The abnormality detecting device 40 of the present embodiment can efficiently verify the reliability of the detection of the abnormality of the engine unit 20.  The abnormality detecting device 40 further has a report command unit 50. When the report command unit 50 stores at least one abnormality determination result in the abnormal memory area 48, The signal is sent to the display device 13. The display device 13 is provided by the locomotive 1. The signal system causes the display device 13 to report an abnormality determination item that has determined the abnormality determination result or a signal that the engine unit 20 has an abnormality. With this, The driver can recognize that the abnormality determination item that has determined the abnormality determination result or the engine unit 20 generates an abnormality.  The abnormality determining unit 42a and the normal determining unit 42b determine the driving cycle for each drive cycle. which is, The abnormality detecting device 40 verifies the reliability of the detection of the abnormality for each driving cycle. therefore, The abnormality detecting device 40 of the present embodiment can improve the reliability of the detection of the abnormality of the engine unit 20.  The drive period is a period from when the main switch 11 is operated to be turned on to supply power to the engine unit 20 until the main switch 11 is operated to be turned off to stop supplying power to the engine unit 20. and, The abnormality detecting device 40 determines the abnormality determining unit 42a and the normal determining unit 42b for each driving cycle. which is, The abnormality detecting device 40 verifies the reliability of the detection of the abnormality for each driving cycle. therefore, The abnormality detecting device 40 of the present embodiment can improve the reliability of the detection of the abnormality of the engine unit 20.  The locomotive 1 is a straddle type vehicle. The engine unit 20 of the straddle type vehicle is disposed below the upper end of the seat portion. a straddle-type vehicle compared to other vehicles The size of the vehicle is small. The abnormality detecting device 40 is mounted on a straddle type vehicle. therefore, in most cases, a straddle-type vehicle compared to other vehicles The abnormality detecting device 40 is small in size. which is, a straddle-type vehicle compared to other vehicles It is difficult to ensure the memory device 47 having a large memory area. therefore, The straddle type vehicle is adapted to be equipped with the abnormality detecting device 40 of the present invention which can reduce the capacity of the memory area of the memory device 47.  (Specific example 2 of the present embodiment) Second, The abnormality detecting device 40 of the specific example 2 of the present embodiment will be described with reference to Figs. 2 and 8 . The abnormality detecting device 40 of the specific example 2 of the present embodiment is different from the abnormality detecting device 40 of the specific example 1 of the present embodiment in the data stored in the abnormal memory region 48, And the order of processing by the abnormal memory processing unit 43. Furthermore, The components other than the abnormality memory processing unit 43 and the abnormal memory area 48 of the abnormality detecting device 40 of the second specific example of the present embodiment are The same as the specific example 1 of the embodiment. The description is omitted. also, The block diagram of the locomotive 1 including the abnormality detecting device 40 of the specific example 2 of the present embodiment is the same as the block diagram of the locomotive 1 including the abnormality detecting device 40 of the specific example 1 of the embodiment. therefore, the following, FIG. 2 which is a block diagram of the locomotive 1 including the abnormality detecting device 40 of the specific example 1 of the embodiment, The abnormality memory processing unit 43 and the abnormal memory area 48 of the abnormality detecting device 40 of the specific example 2 of the present embodiment will be described. Fig. 8 is a schematic view showing an example of data stored in the memory device 47 of the abnormality detecting device 40 of the second specific example of the embodiment. in particular, FIG. 8 is a view schematically showing an example of data stored in the abnormal memory area 48 and the counter memory area 49 included in the memory device 47.  The abnormal memory processing unit 43 stores the abnormal code indicating the abnormality determination item determined to be abnormal by the abnormality determining unit 42a in the abnormal memory area 48, The abnormality determination result is stored in the abnormal memory area 48. The abnormal memory area 48 can store a plurality of exception codes. The abnormal memory area 48 has a plurality of individual areas in which a plurality of abnormal codes can be stored, respectively. also, For a plurality of individual areas, The priority is set continuously. which is, For a plurality of individual areas, The priority is set in order from one. The number of individual individual regions is less than the total number of abnormality determination items. The total number of abnormality determination items refers to the total number of abnormality determination items used to determine the abnormality of the engine unit 20. Furthermore, When the abnormality determination unit 42a determines that the abnormality determination item of the abnormality is more than the number of the individual areas, Processing is as follows. which is, The abnormal memory processing unit 43 is in a case where an abnormal code has been memorized in all individual regions of the abnormal memory region 48. Processing is as follows. For the abnormal code indicating the new abnormality determination item that is not memorized in the abnormal memory area 48, When it is determined by the abnormality determining unit 42a that there is an abnormality, The abnormal memory processing unit 43 does not store the abnormal code indicating the new abnormality determination item in the abnormal memory area 48.  In the specific example of FIG. 8, The abnormal memory area 48 can store, for example, three abnormal codes. In this case, The abnormal memory area 48 has three individual areas 48a that can store three abnormal codes. 48b, 48c. In the specific example of FIG. 8, In 3 individual areas 48a, 48b, 2 individual areas 48a in 48c, 48b, Two exception codes of the exception code A and the exception code C are stored. The remaining one individual area 48c is an empty individual area in which no abnormal code is stored. Here, The free individual area is an individual area where no abnormal code is stored. The exception code A is stored in three individual areas with a priority of 1 and the highest individual area 48a. The exception code B is stored in an individual area 48b having a priority of 2 among the three individual areas. The priority among the three individual areas is 3 and the lowest individual area 48c is an idle individual area.  The abnormality memory processing unit 43 stores the abnormal code of the abnormality determination item newly determined by the abnormality determining unit 42a as abnormal from the individual area having the higher priority in the abnormal memory area 48 to the lower priority individual area. In other words, The abnormality memory processing unit 43 stores the abnormality code in an individual region which is one priority lower than the individual region having the lowest priority among the individual regions in which the abnormal code has been stored. In the specific example of FIG. 8, For example, the abnormal code B of the abnormality determination item newly determined to be abnormal by the abnormality determining unit 42a is stored in an individual region having a priority of 3.  also, The abnormality memory processing unit 43 is an abnormal code indicating an abnormality determination item that is determined to be abnormal by the abnormality determining unit 42a among the abnormality codes of the abnormality determination items stored in the individual areas of the abnormal memory area 48. The individual areas that are stored in the lower priority areas of the abnormality codes of the other abnormality determination items that are stored in the abnormality memory area 48 are lower. especially, When the abnormality determination unit 42a determines that there is an abnormality in the abnormality determination item selected by the abnormality determination item selection unit 44, The abnormality memory processing unit 43 stores the abnormality code of the abnormality determination item determined to be abnormal in an individual region having a lower priority than the individual region of the other abnormal code stored in the abnormal memory region 48. which is, The abnormality code of the abnormality determination item determined to be abnormal by the abnormality determining unit 42a is stored in the individual region having the lowest priority among the abnormal codes stored in the abnormal memory area 48. E.g, In the example shown in Figure 8, When it is determined that the abnormality of the intake air temperature sensor is abnormal, The individual areas in which the abnormal code C is stored are changed from the individual areas whose priority level is 1 to the individual areas whose priority is lower than the abnormal code A and are 3.  Similarly to the specific example 1 of the embodiment, The counter memory area 49 has an individual area in which the number of normal decisions associated with one unlocking object code can be memorized. The abnormality determination item selection unit 44 is among the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area 48. One abnormality determination item is selected as the selection abnormality determination item. The abnormality determination item selection unit 44 selects the abnormality determination item indicated by the abnormality code stored in the individual region having the highest priority in the abnormality memory region 48 as the selection abnormality determination item. which is, The abnormality determination item selection unit 44 selects the abnormality code stored in the individual region having the highest priority among the abnormality memory regions 48 as the selection abnormality determination item. In the specific example shown in FIG. 8, The abnormal code C stored in the individual area 48a of priority 1 is selected as the selection abnormality determination item.  Secondly, Referring to Figure 4 and Figures 8 to 11, The processing executed by the processor 32 of the abnormality detecting device 40 of the specific example 2 of the present embodiment will be described based on a specific example. The sequence of processing executed by the processor 32 of the abnormality detecting device 40 of the second specific example of the present embodiment is the same as the sequence of processing executed by the processor 32 of the abnormality detecting device 40 of the specific example 1 of the present embodiment. therefore, A flowchart showing an example of the sequence of processing executed by the processor 32 of the abnormality detecting device 40 of the specific example 1 of the embodiment shown in FIG. 4 is used. The processing executed by the processor 32 of the abnormality detecting device 40 of the second specific example of the embodiment will be described. 8 to 11 show an example of the material stored in the memory device 47 of the specific example 2 of the embodiment. In more detail, 8 to 11 show an example of the abnormal code stored in the abnormal memory area 48 and the normal number of judgments stored in the counter memory area 49.  As shown in Figure 4, First of all, The counter memory processing unit 45 reads the count stored in the counter memory area 49 (step S1). In a specific example of the specific example 2 of the embodiment, The data shown in FIG. 8 is stored in advance in the memory device 47. Furthermore, The memory device 47 may also not store data. In the case of the specific example of FIG. 8, Read n as a count. also, The abnormality determination item selection unit 44 reads the cancellation target code (step S2: Abnormal judgment item selection processing). Furthermore, The abnormality code indicating the selected abnormality determination item selected by the abnormality determination item selection unit 44 is set as the cancellation target code. The abnormality determination item selection unit 44 selects the abnormality determination item of the number of normal determinations stored in the counter memory area 49 as the selection abnormality determination item. The abnormality determination item selection unit 44 sequentially selects the selection abnormality determination item from the individual regions having the higher priority. In the specific example of FIG. 8, The number of normal judgments memorized in the counter memory area 49 is one. also, In an individual area of the abnormal memory area 48, Exception code C is stored in order of priority from highest to lowest, And exception code A. which is, The abnormal code C stored in the individual region having the highest priority indicates the abnormal code of the selected abnormality determining item selected by the abnormality determining item selecting unit 44. therefore, The abnormal code C is read as an abnormal code indicating the selected abnormality determination item selected by the abnormality determination item selecting unit 44. In the specific example of FIG. 3, The exception code C becomes the cancellation target code.  In the case of the specific example of FIG. 8, An abnormal code A and an abnormal code C are stored in two individual areas of the abnormal memory area 48. then, The report command unit 50 causes the display device 13 to display a warning light indicating an abnormality of the detection item corresponding to the abnormal code A and the abnormal code C (step S2: Report instruction processing).  Secondly, The parameter acquisition unit 41a acquires a plurality of parameters related to the state of the locomotive 1 detected by the plurality of detection sensors 21 (step S3: Parameter acquisition processing). then, The normal determination unit 42b detects an abnormality determination item in which the abnormality determination result is stored in the abnormal memory area 48, The determination is normal based on at least one parameter acquired by the parameter acquisition unit 41a (step S3: Normal judgment processing).  When there is an abnormality determination item determined to be normal by the normal determination unit 42b (step S3: Yes), The abnormality code indicating the abnormality determination item determined to be normal by the normal determination unit 42b is set as the normal determination code. then, The counter memory processing unit 45 determines whether or not the normal determination code is the same as the cancellation target code (step S4: Counter memory processing). The cancellation target code is an abnormal code indicating the selection abnormality determination item selected by the abnormality determination item selection unit 44. which is, The counter memory processing unit 45 determines whether or not the abnormality determination item determined to be normal by the normal determination unit 42b is the selected abnormality determination item selected by the abnormality determination item selection unit 44. In the specific example of FIG. 8, The abnormal code indicating that the abnormality determination item is selected is the abnormal code C. then, The counter memory processing unit 45 determines whether or not the normal determination code is the abnormal code C.  When the normal determination code is different from the cancellation target code (step S4: no), End processing. on the other hand, When the normal determination code is the same as the cancellation target code (step S4: Yes), The counter memory processing unit 45 increments the count of the number of normal determinations of the normal determination code stored in the counter memory area 49 (step S5: Counter memory processing). then, The abnormal erase unit 46 determines whether the count of the normal number of determinations after the increment is the same as N (step S6: Abnormal erase processing). which is, The abnormal erase unit 46 determines whether or not the count of the normal number of determinations is the same as N. Similarly to the specific example 1 of the embodiment, N is a specific number of times.  When the count of the normal judgment number is different from N (step S6: no), The counter memory processing unit 45 stores the incremented count in the counter memory area 49 (step S7: Counter memory processing). then, End processing.  When the count of the normal judgment number is the same as N (step S6: Yes), The abnormal erase unit 46 initializes the count of the number of normal determinations of the normal determination code stored in the counter memory area 49, And stored in the counter memory area 49 (step S8: Abnormal erase processing). which is, As shown in the specific example of Fig. 9(a), The abnormal erase unit 46 counts the number of normal determinations stored in the counter memory area 49 to zero. And stored in the counter memory area 49. also, The abnormality erasing unit 46 erases the abnormality code of the selection abnormality determination item whose count of the normal determination number reaches N from the abnormal memory area 48 (step S9: Abnormal erase processing). As shown in the specific example of Fig. 9(a), The abnormal code indicating that the abnormality determination item is selected is the abnormal code C. then, The abnormal erase unit 46 erases the abnormal code C from the abnormal memory area 48. which is, The abnormal code C stored in the individual region 48a having the highest priority stored in the abnormal memory area 48 is erased. The individual area 48a becomes an idle individual area.  Secondly, The report command unit 50 determines whether the abnormal memory area 48 is free (step S10: Report instruction processing). which is, The report command unit 50 determines whether or not all of the three individual areas forming the abnormal memory area 48 are free individual areas. When the abnormal memory area 48 is idle (step S10: Yes), The report command unit 50 causes the warning light displayed on the display device 13 to be turned off (step S11: Report instruction processing). then, End processing.  on the other hand, When the abnormal memory area 48 is not idle (step S10: no), The abnormality memory processing unit 43 arranges the abnormality determination results stored in the abnormal memory region 48 in the order of priority (step S12: Abnormal memory processing). which is, When there are free individual areas in individual areas within the abnormal memory area 48, And when an exception code is stored in an individual area having a lower priority than the free individual area, The abnormality memory processing unit 43 moves the abnormal code stored in the individual region having the lower priority than the free individual region to the individual region having the higher priority. In the specific example of Figure 9(a), As shown in Figure 9(b), The individual area 48a is an idle individual area, Therefore, the abnormal code A stored in the individual region 48b of priority 2 is moved to the free individual region 48a which is the individual region having the highest priority and being the highest. then, As shown in Figure 9(b), The individual area 48b becomes an idle individual area.  on the other hand, When there is no abnormality determination item determined to be normal by the normal determination unit 42b (step S3: no), The abnormality determining unit 42a is for a plurality of abnormality determining items, The abnormality is determined based on at least one of the plurality of parameters acquired by the parameter acquisition unit 41a (step S13: Abnormal judgment processing).  When there is an abnormality determination item determined to be abnormal by the abnormality determining unit 42a (step S13: Yes), The abnormality code indicating the abnormality determination item determined to be abnormal by the abnormality determining unit 42a is set as the abnormality determination code. then, The counter memory processing unit 45 determines whether or not the abnormality determination code is the same as the cancellation target code (step S14: Counter memory processing). The cancellation target code is an abnormal code indicating the selection abnormality determination item selected by the abnormality determination item selection unit 44. which is, The counter memory processing unit 45 determines whether or not the abnormality determination item determined to be abnormal by the abnormality determining unit 42a is the selected abnormality determination item selected by the abnormality determination item selecting unit 44. In the specific example of FIG. 8, The abnormal code indicating that the abnormality determination item is selected is the abnormal code C. then, The counter memory processing unit 45 determines whether or not the abnormal code indicating the abnormality determination item determined to be abnormal is the abnormal code C.  When the abnormality determination code is the same as the cancellation target code (step S14: Yes), The counter memory processing unit 45 initializes the count of the number of normal determinations of the abnormality determination code stored in the counter memory area 49, And stored in the counter memory area 49 (step S15: Counter memory processing). which is, The count of the number of normal judgments of the abnormality determination code memorized in the counter memory area 49 is 0, And stored in the counter memory area 49. then, The abnormality memory processing unit 43 moves the abnormality code (abnormality determination code) of the abnormality determination item determined to be abnormal to the individual region having the lowest priority among the abnormality memory regions 48 (step S16: Abnormal memory processing). which is, The abnormality memory processing unit 43 sets the priority of the abnormality determination result of the abnormality determination item determined to be abnormal to the lowest priority. In a specific example, As shown in Figure 8, The abnormal code C of the individual region having the highest priority stored in the abnormal memory region 48 is moved to the individual region 48c having the lowest priority and the lowest priority in the abnormal memory region 48 as shown in Fig. 10(a). at this time, When the priority area is 3 and the lowest individual area 48c is not in the case of an individual area, At the same time as the processing of the next step S12 or after the processing of step S12, The exception code C is moved to the individual area 48c having the priority of 3 and the lowest in the abnormal memory area 48. then, The abnormality memory processing unit 43 arranges the abnormality determination results stored in the abnormal memory region 48 in the order of priority (step S12: Abnormal memory processing). which is, The abnormal memory processing unit 43 is in a case where an individual area exists in an individual area in the abnormal memory area 48, And when an exception code is stored in an individual area having a lower priority than the free individual area, The exception code stored in an individual area having a lower priority than the free individual area is moved to an individual area having a higher priority. In a specific example, As shown in Figure 10(b), The exception code A stored in the individual area 48b of priority 2 is moved to the individual area 48a of priority 1 and highest. also, With this, The individual area 48b of priority 2 becomes an idle individual area. then, The abnormal code C stored in the individual region 48c having the lowest priority of 3 is moved to the individual region 48b having the priority of 2 in the abnormal memory region 48. which is, The exception code stored in the individual area 48b after the priority level 2 shown in Fig. 10(a) is moved to the individual area of the previous priority. then, End processing.  on the other hand, When the abnormality determination code is different from the cancellation target code (step S14: no), The abnormality memory processing unit 43 stores an abnormal code (abnormality determination code) indicating an abnormality determination item determined to be abnormal in the abnormal memory area 48. In more detail, The abnormality memory processing unit 43 stores the abnormality code of the abnormality determination item determined to be abnormal in the individual region having the lowest priority of the abnormal memory region 48 (step S17: Abnormal memory processing). in particular, The error determination code is set to the exception code E. As shown in Figure 11, The exception code E is stored in the individual area 48c having the priority of 3 in the abnormal memory area 48 and being the lowest. then, The abnormality memory processing unit 43 arranges the abnormality determination results stored in the abnormal memory region 48 in the order of priority (step S12: Abnormal memory processing). which is, In the case where there are free individual areas in individual areas within the abnormal memory area 48, And when an exception code is stored in an individual area having a lower priority than the free individual area, The abnormality memory processing unit 43 shifts the priority of the abnormal code stored in the individual region having the lower priority than the free individual region to the upper level. In the example shown in Figure 11, There are no free individual areas in individual areas within the abnormal memory area 48, Therefore, the priority of the abnormal code stored in the abnormal memory area 48 remains as it is. then, End processing.  The abnormality detecting device 40 of the specific example 2 of the present embodiment configured as described above has the effects of the abnormality detecting device 40 of the specific example 1 of the embodiment. It also has the following effects.  The number of abnormality determination results that can be memorized in the abnormal memory area 48 is less than the total number of abnormality determination items. Here, The number of abnormality determination results that can be memorized in the abnormal memory area 48 is larger than the number of selection abnormality determination items selectable by the abnormality determination item selection unit 44. With this, The capacity of the abnormal memory area 48 can be reduced. therefore, The abnormality detecting device 40 of the specific example 2 of the present embodiment can reduce the capacity of the memory area of the memory device 47. And the reliability of the detection of the abnormality of the engine unit 20 is improved.  The abnormal memory processing unit 43 stores the abnormal code indicating the abnormality determination item determined to be abnormal by the abnormality determining unit 42a in the abnormal memory area 48, The abnormality determination result is stored in the abnormal memory area 48. also, The abnormal memory area 48 is a plurality of individual areas in which a plurality of abnormal codes can be stored, respectively. also, The abnormal memory area 48 is a plurality of individual areas in which priority is continuously set. The abnormal memory processing unit 43 stores the abnormal code in an individual area by The priority code is set to the priority. and, The abnormality determination item selection unit 44 can easily select an abnormality determination item in which the detected abnormality is highly erroneously detected as the selection abnormality determination item. therefore, The abnormality detecting device 40 of the present embodiment can improve the reliability of the detection of the abnormality of the engine unit 20.  The abnormal memory processing unit 43 is at the following two time points. The exception code stored in an individual area having a lower priority than the free individual area is moved and stored to the free individual area. The first time point is when at least one of the plurality of individual areas is an empty individual area in which the abnormal code is not stored. The second time point is when an abnormal code is stored in an individual area whose priority is lower than the free individual area. which is, The abnormal memory processing unit 43 can store the abnormal code from the individual region having the higher priority in the abnormal memory region 48 to the lower priority individual region so as to eliminate the free individual region. therefore, The abnormal memory processing unit 43 can be self-formed in an individual region having a higher priority in the abnormal memory region 48. The abnormality determination item indicated by the abnormal code is easily selected as the selection abnormality determination item in order. therefore, The abnormality detecting device 40 of the present embodiment can efficiently verify the reliability of the detection of the abnormality of the engine unit 20.  the above, A preferred embodiment of the present invention has been described. However, the present invention is not limited to the above embodiment. Various changes can be made as long as they are described in the scope of the patent application. also, The following modified examples can be combined as appropriate.  In the abnormality detecting device of the present invention, The parameter detecting device is not limited to the vehicle speed sensor, Engine speed sensor, Cooling water temperature sensor, And intake air temperature sensor. In addition, The parameter detecting device includes an external temperature sensor, Throttle position sensor, Intake pressure sensor, Oxygen sensor, Outside the gear position sensor, Also included are various sensors that detect a plurality of parameters related to the state of the vehicle.  In the present invention, The main switch does not have to be mounted to the handle unit. also, The engine start switch does not have to be mounted to the handle unit. also, The display device does not have to be mounted to the handle unit.  In the abnormality detecting device of the present invention, The processor and the memory device included in the abnormality detecting device may be one device disposed in one location. It can also include a plurality of devices arranged in different locations. E.g, A parameter acquisition unit configured as a processor, Abnormality determination unit, Normal judgment department, Abnormal memory processing unit, Abnormal determination item selection unit, Counter memory processing unit, Each of the abnormal erasing unit and the reporting unit or a part of the device or the memory device is disposed at a position spaced apart from each other.  In the abnormality detecting device of the embodiment, The normal determination processing is for an abnormality determination item determined to be abnormal by the abnormality determination processing, The determination is normal based on at least one of a plurality of parameters obtained by the parameter detection processing. however, In the abnormality detecting device of the present invention, The normal determination processing may be directed to the selection abnormality determination item selected by the abnormality determination item selection processing, The determination is normal based on at least one of a plurality of parameters obtained by the parameter detection processing. With this, The abnormality determination item whose normal determination processing is determined to be normal is limited to the selected abnormality determination item selected by the abnormality determination item selection processing. which is, The normal determination processing determines that the abnormality determination item that is the same as or smaller than the abnormality determination item that is determined to be abnormal by the abnormality determination processing is normal. therefore, In the abnormal erase process, The reliability of the detection of anomalies in the engine unit can be simply verified.  In the abnormality detecting device of the present invention, The processor can in turn be caused to perform output processing. The output processing is when the at least one abnormality determination result is stored in the abnormal memory area. The abnormality of the abnormality determination item that has determined the abnormality determination result is output to the control device of the control engine unit. With this, According to the abnormality of the abnormality determination item that has determined the abnormality determination result, The control unit can control the engine unit. E.g, In the abnormality detecting device 40 shown in FIG. 2, According to the abnormality of the abnormality determination item that has determined the abnormality determination result, The engine control unit 31 included in the ECU 30 can control the engine unit 20.  In the abnormality detecting device of the present invention, The counter memory processing can also be performed when the normal determination processing is determined to be normal. By counting the count of the number of normal decisions stored in the counter memory area, The normal number of judgments is counted. which is, The counter memory processing stores a specific number of times as an initial value of the normal number of judgments in the counter area. and, For the abnormality determination item selected by the abnormality determination item selection process, When the normal determination unit determines that it is normal, The counter memory process causes the counts stored in the counter memory area to be sequentially reduced one by one from a certain number of times. In this case, In the abnormal erase process, The count of the number of normal judgments memorized in the memory area of the counter becomes 0, With this, It is judged that the number of normal judgments reaches a certain number of times.  In the abnormality detecting device of the present invention, The abnormal memory processing may not cause the abnormal code stored in the plurality of individual regions of the abnormal memory region to move, Change the priority set for the exception code. In other words, The abnormal memory processing may not cause the abnormal code stored in the plurality of individual regions of the abnormal memory region to move, And change the priority set for individual areas.  In the abnormality detecting device of the present invention, The normal condition may also be a condition other than the abnormal condition. Normal conditions can be set as recovery conditions. The recovery condition means a condition determined to be abnormal recovery. E.g, In the case of the locomotive 1 shown in Figure 2, When the detection sensor 21 is disconnected or the like, If it is detected that the connection is wired, Then, it is determined that the disconnection of the detecting sensor 21 is resumed. E.g, When the ignition device of the engine unit 20 shown in FIG. 2 is abnormal, It is difficult to accurately determine the recovery from an abnormality. therefore, When the main switch 11 is operated to be turned on, When the operation is disconnected, It is temporarily determined that the ignition of the locomotive 1 is abnormally restored. in this way, For each abnormality determination item, Recovery conditions can also vary. Furthermore, When the normal conditions and recovery conditions are different, The selection abnormality determination item selected by the abnormality determination item selection processing, Sometimes the normal judgment process is not judged to be normal, The abnormality determination process is not determined to be abnormal. In this case, With regard to the processing performed by the processor 32 of the abnormality detecting device 40 of FIG. 4, The selection abnormality determination item selected by the abnormality determination item selection unit 44 is In a certain driving cycle, When the normal determination unit 42b is not determined to be normal and the abnormality determination unit 42a is not determined to be abnormal, The counter memory processing unit 45 maintains the count of the number of normal judgments stored in the counter memory area 49.  In the abnormality detecting device of the present invention, The number of normal judgment numbers may be two or more. which is, The counter memory area can memorize the number of normal determinations of two or more abnormality determination items selected by the abnormality determination item selection process. also, The abnormal memory area can memorize more than four abnormality determination results. As a specific example of this case, A variation of the data stored in the memory device 47 of the abnormality detecting device 40 of the above-described embodiment is shown in Fig. 12 . Fig. 12 shows an example of an abnormal code stored in the abnormal memory area 48 and a normal number of judgments stored in the counter memory area 49. The abnormal memory area 48 has four individual areas 48a that can store four abnormal codes. 48b, 48c, 48d. In the example of Figure 12, An abnormal code A is stored in the abnormal memory area 48, Exception code C, 3 exception codes of exception code E. The remaining one individual area 48d is an empty individual area in which no abnormal code is stored. The exception code C is stored in the individual region 48a having the highest priority among the abnormal memory regions 48. The exception code A is stored in the abnormal memory area 48 in an individual area 48b having a priority of two. The exception code E is stored in the anomaly memory area 48 in an individual area 48c of priority 3. The individual area 48d having the lowest priority among the abnormal memory areas 48 is an idle individual area. The counter memory area 49 has two individual areas 49a that can memorize the normal number of decisions, 49b. In Fig. 12, two individual areas 49a and 49b of the counter memory area 49 are shown as a counter A and a counter B. The abnormality determination item selection unit 44 selects the abnormality determination item C indicated by the abnormal code C and the abnormal code A stored in the individual regions 48a and 48b of the priorities 1 and 2 stored in the abnormality memory area 48. then, The counter memory area 49 stores the normal determination number of the abnormality determination item indicated by the abnormal code C of the individual area 48a having the priority level 1 stored in the abnormal memory area 48 in the counter A. also, The counter memory area 49 stores the normal determination number of the abnormality determination item indicated by the abnormal code A of the individual area 48b of the priority level 2 stored in the abnormal memory area 48 in the counter B. which is, The counter memory area 49 is for the abnormality determination item indicated by the abnormal code C, The count of the number of normal determinations that the normal determination unit 42b determines to be normal is stored in the counter A. also, The counter memory area 49 is for the abnormality determination item indicated by the abnormal code A, The count of the number of normal determinations that the normal determination unit 42b determines to be normal is stored in the counter B.  In the abnormality detecting device of the embodiment, When the abnormality code indicating that the abnormality determination item of the abnormality is determined by the abnormality determination processing is equal to or larger than the number of the individual areas of the abnormal memory area, The abnormal memory process memorizes an abnormal code exceeding the number of individual regions of the abnormal memory region in a memory region other than the abnormal memory region. However, it is not limited to this. In the abnormality detecting device of the present invention, When the abnormality code indicating that the abnormality determination item of the abnormality is determined by the abnormality determination processing is equal to or larger than the number of the individual areas of the abnormal memory area, The abnormal code exceeding the number of individual regions of the abnormal memory region may also be memorized in the memory region without abnormal memory processing. With this, The capacity of the abnormal memory area can be further reduced. therefore, The abnormality detecting device of the invention can reduce the capacity of the memory area, And improve the reliability of the detection of abnormalities of the engine unit.  In the abnormality detecting device of the embodiment, The abnormality detecting device is directed to the plurality of abnormality determining items by the abnormality determining process, The abnormality is determined based on at least one of a plurality of parameters detected by the parameter detecting means. also, In the abnormality detecting device of the embodiment, An abnormality determination item that stores an abnormality determination result in the abnormal memory area by the normal determination processing, The determination is normal based on at least one of a plurality of parameters detected by the parameter detecting means. however, In the abnormality detecting device of the present invention, The normal determination process may be included in the abnormality determination process. In this case, The abnormality determination process is for an abnormality determination item determined to be abnormal. The determination is normal based on at least one of the plurality of parameters obtained by the parameter acquisition process.  In the abnormality detecting device of the embodiment, The abnormality determination item is selected from among the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area by the abnormality determination item selection processing. also, In the abnormality detecting device of the embodiment, The normal determination number of the counter memory area memorized in the abnormality determination item is initialized by the abnormal erasing process. however, The abnormality detecting device of the present invention may further cause the processor to execute an association change process including the abnormality determination item selection process and the abnormality erasing process. This association change processing is for changing and reselecting the abnormality determination item selected by the abnormality determination item selection processing. In the association change processing, The abnormality determination item selected by the abnormality determination item selection unit is changed, And the normal judgment number stored in the counter memory area of the changed abnormality determination item is initialized.  In the abnormality detecting device of the embodiment, Abnormal memory processing is when an abnormal code has been memorized in all individual areas of the abnormal memory area. Processing is as follows. The abnormal memory processing is an abnormal code indicating a new abnormality determination item that is not memorized in the abnormal memory area. When it is determined by the abnormality determination processing that there is an abnormality, The abnormal code indicating the new abnormality determination item is not stored in the abnormal memory area. however, The abnormality detecting device of the present invention can also be used in abnormal memory processing. In the case of an abnormal code indicating a new abnormality determination item that is not memorized in the abnormal memory area, When it is determined by the abnormality determination processing that there is an abnormality, Processing is as follows. In abnormal memory processing, The abnormal code indicating the abnormality code of the abnormality determination item selected by the abnormality determination item selection process and stored in the individual region having the lowest priority is deleted. and, In abnormal memory processing, Set free individual areas in the abnormal memory area. In abnormal memory processing, The abnormal code indicating the new abnormality determination item is stored in the free individual area of the abnormal memory area. Furthermore, When there is a plurality of abnormal codes indicating that the new abnormality determination item exists, Can also be used in abnormal memory processing, Delete a plurality of exception codes that have been memorized in the abnormal memory area. In this case, In abnormal memory processing, An abnormal code that indicates an abnormality determination item that is not selected by the abnormality determination item selection process and that is stored in an individual area in descending order of priority is deleted.  The vehicle of the present invention is not limited to a locomotive. The vehicle of the present invention may also be a straddle type vehicle other than a locomotive. also, The vehicle of the present invention is not limited to a straddle type vehicle. The so-called straddle type vehicle refers to all the vehicles that the rider rides in such a state as to sit on the saddle. The straddle type vehicle includes a locomotive (including speed keda), Tricycle, Water locomotive, Snow on the motorcycle, etc. Vehicles other than straddle vehicles include four-wheelers.

1‧‧‧機車(跨坐型車輛、車輛)1‧‧‧Motorcycles (straddle-type vehicles, vehicles)

10‧‧‧把手單元10‧‧‧Hand unit

11‧‧‧主開關11‧‧‧Main switch

12‧‧‧電池12‧‧‧Battery

13‧‧‧顯示裝置(報告機構)13‧‧‧Display device (reporting agency)

20‧‧‧引擎單元20‧‧‧ engine unit

21‧‧‧檢測感測器(參數檢測裝置)21‧‧‧Detection sensor (parameter detection device)

30‧‧‧ECU30‧‧‧ ECU

31‧‧‧引擎控制部31‧‧‧Engine Control Department

32‧‧‧處理器32‧‧‧ processor

40‧‧‧異常檢測裝置40‧‧‧Anomaly detection device

41‧‧‧異常檢測部41‧‧‧Anomaly Detection Department

41a‧‧‧參數獲取部41a‧‧‧Parameter Acquisition Department

42a‧‧‧異常判定部42a‧‧‧Abnormality Department

42b‧‧‧正常判定部42b‧‧‧Normal Judgment Department

43‧‧‧異常記憶處理部43‧‧‧Abnormal Memory Processing Department

44‧‧‧異常判定項目選擇部44‧‧‧Abnormal Determination Project Selection Department

45‧‧‧計數器記憶處理部45‧‧‧Counter Memory Processing Department

46‧‧‧異常抹除部46‧‧‧Abnormal eradication department

47‧‧‧記憶裝置47‧‧‧ memory device

48‧‧‧異常記憶區域48‧‧‧Abnormal memory area

49‧‧‧計數器記憶區域49‧‧‧Counter memory area

49a‧‧‧個別區域49a‧‧‧Several areas

50‧‧‧報告指令部50‧‧‧Reporting Department

A‧‧‧異常碼A‧‧‧ anomaly code

B‧‧‧異常碼B‧‧‧Exception code

C‧‧‧異常碼C‧‧‧Exception code

D‧‧‧異常碼D‧‧‧Exception code

E‧‧‧異常碼E‧‧‧Exception code

S1‧‧‧步驟S1‧‧‧ steps

S2‧‧‧報告指令處理S2‧‧‧Report Processing

S2‧‧‧異常判定項目選擇處理S2‧‧‧Exception determination item selection and treatment

S3‧‧‧參數獲取處理S3‧‧‧ parameter acquisition processing

S3‧‧‧正常判定處理S3‧‧‧Normal judgment processing

S4‧‧‧計數器記憶處理S4‧‧‧Counter memory processing

S5‧‧‧計數器記憶處理S5‧‧‧Counter memory processing

S6‧‧‧異常抹除處理S6‧‧‧Abnormal erasing

S7‧‧‧計數器記憶處理S7‧‧‧Counter memory processing

S8‧‧‧異常抹除處理S8‧‧‧Abnormal erasing

S9‧‧‧異常抹除處理S9‧‧‧Abnormal erasing

S10‧‧‧報告指令處理S10‧‧‧Report Processing

S11‧‧‧報告指令處理S11‧‧‧Report Processing

S12‧‧‧異常記憶處理S12‧‧‧Abnormal memory processing

S12‧‧‧異常判定項目選擇處理S12‧‧‧Exception determination item selection and treatment

S13‧‧‧異常判定處理S13‧‧‧Exception determination processing

S14‧‧‧計數器記憶處理S14‧‧‧Counter memory processing

S15‧‧‧計數器記憶處理S15‧‧‧Counter memory processing

S16‧‧‧異常記憶處理S16‧‧‧Abnormal memory processing

S17‧‧‧異常記憶處理S17‧‧‧Abnormal memory processing

S21‧‧‧參數獲取處理S21‧‧‧ parameter acquisition processing

S22‧‧‧異常判定處理S22‧‧‧Exception determination processing

S23‧‧‧異常記憶處理S23‧‧‧Abnormal memory processing

S24‧‧‧正常判定處理S24‧‧‧Normal judgment processing

S25‧‧‧異常判定項目選擇處理S25‧‧‧Exception determination item selection and treatment

S26‧‧‧計數器記憶處理S26‧‧‧Counter memory processing

S27‧‧‧異常抹除處理S27‧‧‧Abnormal erasing treatment

圖1係表示本發明之實施形態之異常檢測裝置之構成的概略圖。 圖2係表示具備本實施形態之具體例1之異常檢測裝置之機車的構成之方塊圖。 圖3係表示本實施形態之具體例1之異常檢測裝置之記憶裝置中所儲存的資料之一例之模式圖。 圖4係表示本實施形態之具體例1之異常檢測裝置之處理器所執行的處理之順序之一例之流程圖。 圖5(a)及(b)係表示本實施形態之具體例1之異常檢測裝置之記憶裝置中所儲存的資料之一例之圖。 圖6(a)及(b)係表示本實施形態之具體例1之異常檢測裝置之記憶裝置中所儲存的資料之一例之圖。 圖7(a)及(b)係表示本實施形態之具體例1之異常檢測裝置之記憶裝置中所儲存的資料之一例之圖。 圖8係表示本實施形態之具體例2之異常檢測裝置之記憶裝置中所儲存的資料之一例之圖。 圖9(a)及(b)係表示本實施形態之具體例2之異常檢測裝置之記憶裝置中所儲存的資料之一例之圖。 圖10(a)及(b)係表示本實施形態之具體例2之異常檢測裝置之記憶裝置中所儲存的資料之一例之圖。 圖11係表示本實施形態之具體例2之異常檢測裝置之記憶裝置中所儲存的資料之一例之圖。 圖12係表示本實施形態之具體例2之異常檢測裝置之記憶裝置中所儲存的資料之變化例之圖。Fig. 1 is a schematic view showing the configuration of an abnormality detecting device according to an embodiment of the present invention. Fig. 2 is a block diagram showing the configuration of a locomotive including the abnormality detecting device of the specific example 1 of the embodiment. Fig. 3 is a schematic view showing an example of data stored in a memory device of the abnormality detecting device of the first specific example of the embodiment. Fig. 4 is a flow chart showing an example of the procedure of processing executed by the processor of the abnormality detecting device of the first specific example of the embodiment. 5(a) and 5(b) are views showing an example of data stored in the memory device of the abnormality detecting device of the first specific example of the embodiment. 6(a) and 6(b) are views showing an example of data stored in the memory device of the abnormality detecting device of the first specific example of the embodiment. 7(a) and 7(b) are views showing an example of data stored in the memory device of the abnormality detecting device of the first specific example of the embodiment. Fig. 8 is a view showing an example of data stored in the memory device of the abnormality detecting device of the second specific example of the embodiment. Figs. 9(a) and 9(b) are views showing an example of data stored in the memory device of the abnormality detecting device of the second specific example of the embodiment. Figs. 10(a) and (b) are views showing an example of data stored in the memory device of the abnormality detecting device of the second specific example of the embodiment. Fig. 11 is a view showing an example of data stored in the memory device of the abnormality detecting device of the second specific example of the embodiment. Fig. 12 is a view showing a variation of the data stored in the memory device of the abnormality detecting device according to the second specific example of the embodiment.

Claims (15)

一種異常檢測裝置，其特徵在於具有複數個參數檢測裝置、處理器、及記憶裝置，且搭載於車輛，上述複數個參數檢測裝置係檢測與上述車輛之狀態相關之複數個參數，上述處理器構成為或被編程為執行如下處理：(a)參數獲取處理，其係獲取利用上述複數個參數檢測裝置所檢測出之複數個參數；(b)異常判定處理，其係針對用以判定搭載於上述車輛之引擎單元之異常之複數個異常判定項目，基於利用上述參數獲取處理所獲取之上述複數個參數中之至少1個參數而判定異常；(c)異常記憶處理，其係將於上述異常判定處理中針對至少1個上述異常判定項目判定為存在異常之結果作為異常判定結果而記憶於異常記憶區域；(d)正常判定處理，其係針對在上述異常記憶區域中記憶有上述異常判定結果之上述異常判定項目，基於利用上述參數檢測處理所檢測出之上述複數個參數中之至少1個參數而判定正常；(e)異常判定項目選擇處理，其係自於上述異常記憶區域記憶有上述異常判定結果之上述異常判定項目之中，選擇數量少於上述異常判定項目之總數的異常判定項目作為選擇異常判定項目；(f)計數器記憶處理，其係針對利用上述異常判定項目選擇處理所選擇出之上述選擇異常判定項目，將於上述正常判定處理中判定為正常之次數進行計數，並將計數所得之上述次數作為正常判定數而記憶於計數器記憶區域；及(g)異常抹除處理，其係於上述選擇異常判定項目之上述正常判定數達到特定次數時，將上述正常判定數達到特定次數之上述選擇異常判定項目之上述異常判定結果自上述異常記憶區域抹除，並且將上述正常判定數達到特定次數之上述選擇異常判定項目之記憶於上述計數器記憶區域之上述正常判定數初始化；且上述記憶裝置包含上述異常記憶區域及上述計數器記憶區域。An abnormality detecting device characterized by comprising a plurality of parameter detecting devices, a processor, and a memory device, and mounted on a vehicle, wherein the plurality of parameter detecting devices detect a plurality of parameters related to a state of the vehicle, and the processor constitutes Or being programmed to perform the following processing: (a) a parameter acquisition process for acquiring a plurality of parameters detected by the plurality of parameter detecting means; (b) an abnormality determining process for determining that the device is mounted on the a plurality of abnormality determination items of the abnormality of the engine unit of the vehicle, and determining an abnormality based on at least one of the plurality of parameters obtained by the parameter acquisition processing; (c) abnormal memory processing, which is determined by the abnormality In the processing, the result of determining that there is an abnormality in at least one of the abnormality determination items is stored in the abnormal memory region as an abnormality determination result; (d) the normal determination processing is to store the abnormality determination result in the abnormal memory region. The abnormality determination item is detected based on the above-described parameter detection processing (e) abnormality determination item selection processing, wherein the number of selections is less than the abnormality among the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area The abnormality determination item of the total number of determination items is selected as the selection abnormality determination item; (f) the counter memory processing is determined by the normal determination processing in the normal determination processing described above with respect to the selection abnormality determination item selected by the abnormality determination item selection processing. The normal number of times is counted, and the counted number of times is stored as a normal judgment number in the counter memory area; and (g) the abnormal erasing process is performed when the normal number of determinations of the selected abnormality determination item reaches a certain number of times And erasing the abnormality determination result of the selection abnormality determination item whose number of normal determinations has reached a predetermined number of times from the abnormality memory area, and storing the selection abnormality determination item whose number of normal determinations reaches a certain number of times in the counter memory area The above normal number of judgments is initialized And said memory means comprises a memory region and the abnormal region of the counter memory. 如請求項1之異常檢測裝置，其中上述正常判定處理係針對利用上述異常判定項目選擇處理所選擇出之上述選擇異常判定項目，基於利用上述參數獲取處理所獲取之上述複數個參數中之至少1個參數而判定正常。The abnormality detecting device according to claim 1, wherein the normal determination processing is based on the selection abnormality determination item selected by the abnormality determination item selection processing, based on at least one of the plurality of parameters acquired by the parameter acquisition processing. The parameters are judged to be normal. 如請求項1或2之異常檢測裝置，其中上述異常判定項目選擇處理係於利用上述異常抹除處理自上述異常記憶區域抹除上述正常判定數達到特定次數之上述異常判定項目之異常判定結果時，自於上述異常記憶區域記憶有上述異常判定結果之至少1個上述異常判定項目之中重新選擇上述選擇異常判定項目。The abnormality detecting device according to claim 1 or 2, wherein the abnormality determining item selecting process is performed by erasing the abnormality determining result of the abnormality determining item when the normal number of determinations reaches a certain number of times from the abnormal memory area by the abnormal erasing process The selection abnormality determination item is reselected from among at least one of the abnormality determination items in which the abnormality determination result is stored in the abnormal memory area. 如請求項1至3中任一項之異常檢測裝置，其中上述計數器記憶處理係於利用上述異常判定項目選擇處理所選擇出之上述選擇異常判定項目由上述異常判定處理判定為存在異常時，將經判定為存在上述異常之上述選擇異常判定項目之記憶於上述計數器記憶區域之上述正常判定數初始化。The abnormality detecting device according to any one of claims 1 to 3, wherein the counter memory processing is determined by the abnormality determining process to be abnormal when the abnormality determining process is selected by the abnormality determining item selecting process The normal determination number stored in the counter memory area is initialized by the selection abnormality determination item determined to have the abnormality. 如請求項1至4中任一項之異常檢測裝置，其中可記憶於上述異常記憶區域之上述異常判定結果之數量少於上述異常判定項目之總數。The abnormality detecting device according to any one of claims 1 to 4, wherein the number of the abnormality determination results memorable in the abnormal memory region is less than the total number of the abnormality determination items. 如請求項1至5中任一項之異常檢測裝置，其中上述異常記憶處理係於將上述異常判定結果記憶於上述異常記憶區域時，對上述異常判定結果設定優先級， 上述異常判定項目選擇處理係按照上述異常判定結果之上述優先級由高至低之順序選擇上述異常判定項目。The abnormality detecting device according to any one of claims 1 to 5, wherein the abnormal memory processing system sets a priority to the abnormality determination result when the abnormality determination result is stored in the abnormal memory region, and the abnormality determination item selection processing The abnormality determination item is selected in descending order of the priority of the abnormality determination result. 如請求項6之異常檢測裝置，其中上述異常記憶處理係於利用上述異常判定項目選擇處理所選擇出之上述選擇異常判定項目由上述異常判定處理判定為存在異常時，將經判定為存在上述異常之上述選擇異常判定項目之上述異常判定結果的優先級設定為低於記憶在上述異常記憶區域之其他上述異常判定結果之優先級。The abnormality detecting device according to claim 6, wherein the abnormality memory processing is determined to be abnormal if the abnormality determination processing item selected by the abnormality determination item selection processing is determined to be abnormal by the abnormality determination processing. The priority of the abnormality determination result of the selection abnormality determination item is set to be lower than the priority of the other abnormality determination result stored in the abnormal memory area. 如請求項6或7之異常檢測裝置，其中上述異常記憶處理將新記憶於上述異常記憶區域之上述異常判定結果之優先級設定為低於已記憶在上述異常記憶區域之上述異常判定結果之優先級。The abnormality detecting device of claim 6 or 7, wherein the abnormal memory processing sets a priority of the abnormality determination result newly memorized in the abnormal memory area to be lower than a priority of the abnormality determination result already stored in the abnormal memory area level. 如請求項6至8中任一項之異常檢測裝置，其中上述異常記憶處理係藉由將表示由上述異常判定處理判定為存在異常之上述異常判定項目之異常碼記憶於上述異常記憶區域，而將上述異常判定結果記憶於上述異常記憶區域， 上述異常記憶區域具有複數個個別區域，該複數個個別區域可分別儲存上述異常碼，且連續地設定有上述優先級， 上述異常記憶處理係藉由將上述異常碼儲存於上述個別區域，而對上述異常碼設定上述優先級。The abnormality detecting device according to any one of claims 6 to 8, wherein the abnormal memory processing is performed by storing an abnormal code indicating the abnormality determining item determined to be abnormal by the abnormality determining processing in the abnormal memory region. And storing the abnormality determination result in the abnormal memory area, wherein the abnormal memory area has a plurality of individual areas, wherein the plurality of individual areas can respectively store the abnormal code, and the priority is continuously set, wherein the abnormal memory processing is performed by The abnormal code is stored in the individual area, and the priority is set for the abnormal code. 如請求項9之異常檢測裝置，上述異常記憶處理係於上述複數個個別區域中之至少1個為未儲存有上述異常碼之空閒個別區域時，且於上述優先級較上述空閒個別區域低之上述個別區域儲存有上述異常碼時，將儲存於上述優先級較上述空閒個別區域低之上述個別區域之上述異常碼移動並儲存至上述空閒個別區域。The abnormality detecting device of claim 9, wherein the abnormal memory processing is performed when at least one of the plurality of individual regions is an empty individual region in which the abnormality code is not stored, and the priority is lower than the free individual region. When the abnormality code is stored in the individual area, the abnormal code stored in the individual area having the lower priority than the free individual area is moved and stored in the free individual area. 如請求項1至10中任一項之異常檢測裝置，其中進而使上述處理器執行如下處理：(h)報告指令處理，其係於在上述異常記憶區域儲存有至少1個上述異常判定結果之情形時，對上述車輛所具有之報告機構發送使其報告已判定出上述異常判定結果之上述異常判定項目之異常或上述引擎單元之異常的信號。The abnormality detecting device according to any one of claims 1 to 10, wherein the processor further performs the following processing: (h) reporting instruction processing, wherein at least one abnormality determination result is stored in the abnormal memory region. In the case, the reporting unit included in the vehicle transmits a signal indicating that the abnormality determination item of the abnormality determination result is abnormal or the engine unit is abnormal. 如請求項1至11中任一項之異常檢測裝置，其中進而使上述處理器執行如下處理：(i)輸出處理，其係於在上述異常記憶區域儲存有至少1個上述異常判定結果之情形時，將已判定出上述異常判定結果之上述異常判定項目之異常輸出至控制上述引擎單元之控制裝置。The abnormality detecting device according to any one of claims 1 to 11, wherein the processor further performs the following processing: (i) output processing in a case where at least one of the abnormality determination results is stored in the abnormal memory region At this time, the abnormality of the abnormality determination item that has determined the abnormality determination result is output to the control device that controls the engine unit. 如請求項1至12中任一項之異常判定裝置，其中上述異常判定處理及上述正常判定處理係針對每一驅動週期進行判定。The abnormality determining device according to any one of claims 1 to 12, wherein the abnormality determining process and the normal determining process are performed for each driving cycle. 如請求項13之異常檢測裝置，其中上述驅動週期係自將主開關操作為接通以對上述引擎單元供給電力至將上述主開關操作為斷開以停止對上述引擎單元供給電力為止的期間。The abnormality detecting device of claim 13, wherein the driving cycle is a period from when the main switch is turned on to supply power to the engine unit until the main switch is turned off to stop supplying power to the engine unit. 如請求項1至14中任一項之異常檢測裝置，其中上述車輛係將上述引擎單元配置於較座部之上端更靠下方之跨坐型車輛。The abnormality detecting device according to any one of claims 1 to 14, wherein the vehicle unit is configured to arrange the engine unit at a lower straddle type vehicle than an upper end of the seat portion.
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