TW201811588A - Insulator detection device and insulator detection method - Google Patents

Insulator detection device and insulator detection method Download PDF

Info

Publication number
TW201811588A
TW201811588A TW106131386A TW106131386A TW201811588A TW 201811588 A TW201811588 A TW 201811588A TW 106131386 A TW106131386 A TW 106131386A TW 106131386 A TW106131386 A TW 106131386A TW 201811588 A TW201811588 A TW 201811588A
Authority
TW
Taiwan
Prior art keywords
obstacle
data
mentioned
obstacle detection
line
Prior art date
Application number
TW106131386A
Other languages
Chinese (zh)
Other versions
TWI641515B (en
Inventor
亀山悟
渡部勇介
Original Assignee
日商明電舍股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 日商明電舍股份有限公司 filed Critical 日商明電舍股份有限公司
Publication of TW201811588A publication Critical patent/TW201811588A/en
Application granted granted Critical
Publication of TWI641515B publication Critical patent/TWI641515B/en

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60MPOWER SUPPLY LINES, AND DEVICES ALONG RAILS, FOR ELECTRICALLY- PROPELLED VEHICLES
    • B60M1/00Power supply lines for contact with collector on vehicle
    • B60M1/12Trolley lines; Accessories therefor
    • B60M1/28Manufacturing or repairing trolley lines

Landscapes

  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Insulators (AREA)
  • Electric Cable Installation (AREA)

Abstract

To provide an insulator detection device and insulator detection method capable of detecting an insulator using a simple configuration while suppressing cost, an insulator detection device is provided with a uniaxial-scanning-type range measurement sensor (2) that is disposed on the roof of a vehicle and is for acquiring at least the distance and angle to an overhead line and a calculation device (3) that has an overhead line position calculation unit (3a) for detecting the height and deviation of a trolley wire (4) on the basis of the data acquired by the range measurement sensor (2). The calculation device (3) is provided with an overhead line periphery data point measurement unit (3b) and insulator determination processing unit (3c) for detecting an insulator on the basis of the number of data points in the data acquired by the range measurement sensor (2).

Description

礙子檢測裝置及礙子檢測方法Obstacle detection device and method

本發明係關於礙子檢測裝置及礙子檢測方法。The present invention relates to a hindrance detection device and a hindrance detection method.

作為電氣化鐵路之設備,主要列舉架線(以下稱為架空線)與軌道(以下稱為導軌)。該等分別成為鐵路運行時重要之保養設備。 架空線在運用電氣化鐵路車輛中每當電氣化鐵路車輛通過時就會與集電裝置接觸。因此架空線逐漸磨損,未作更換之情形時有最終斷裂而導致事故之虞。又,導軌因電氣列車之運行而產生彎曲、變形、損壞、磨損等,若將該等之發展放任不管則有導致電氣化鐵路車輛之脫軌等事故之虞。 因此,為迅速掌握因架空線或導軌之磨損等導致之需要注意部位並應對於此,而特定出架空線或導軌之需要注意部位之位置(例如於自某地點行駛幾千米之位置存在需要注意部位等)之資訊自保養管理的方面而言為重要事項。 進行架空線或導軌等設備之保養之情形時,使用保養專用車輛或陸軌兩用車等,於檢測之結果為檢測出需要注意部位之情形時,進行自獲得該資料時之車輛位置推斷需要注意部位之位置。 此處,車輛位置可藉由偵測設置於地上之支持物之位置而掌握,該情形時,支持物之偵測變得非常重要。支持物在隧道區間與明亮區間形狀不同,在隧道區間,在支持物與架空線之間設有用於絕緣之礙子。即,在隧道區間,可藉由檢測礙子而間接地檢測支持物。 先前,作為檢測礙子之技術,已知有一種剛體架線支持礙子之檢測裝置,其於檢測車之車頂的上部設置雷射光源及攝錄影機,利用攝錄影機拍攝藉由以覆蓋架空線、剛體架空線及礙子之寬度產生來自雷射光源之光束而得的狹縫像,且進行圖像處理而檢測礙子(例如參照下述專利文獻1)。 另一方面,亦已知有一種架空線檢測裝置,其藉由設置於車輛之車頂上的測域感測器而測定架空線,基於所取得之測定結果而藉由運算裝置算出架空線之高度或偏位等(例如參照下述專利文獻2)。 [先前技術文獻] [專利文獻] [專利文獻1]]日本專利特開2005-147879號公報 [專利文獻2]]日本專利特開2010-243416號公報As equipment for electrified railways, overhead lines (hereinafter referred to as overhead lines) and rails (hereinafter referred to as guide rails) are mainly listed. These have become important maintenance equipment during railway operation. In the use of electrified railway vehicles, overhead lines will contact the current collecting device whenever the electrified railway vehicle passes. As a result, the overhead line gradually wears out, and there is a risk of accidental failure when it is eventually replaced. In addition, the guide rails are bent, deformed, damaged, and worn due to the operation of the electric train. If these developments are left unattended, there may be accidents such as derailment of the electrified railway vehicles. Therefore, in order to quickly grasp the parts needing attention due to the wear of overhead lines or guide rails, etc., and the positions of the parts needing attention of overhead lines or guide rails (for example, there is a need to travel a few kilometers from a certain location) Information such as parts to pay attention to is important from the aspect of maintenance management. In the case of maintenance of equipment such as overhead lines or guide rails, use maintenance-dedicated vehicles or land-based vehicles, etc., and if the result of the test is to detect a situation requiring attention, the position of the vehicle must be estimated from the information obtained Pay attention to the location of the part. Here, the position of the vehicle can be grasped by detecting the position of the support set on the ground. In this case, the detection of the support becomes very important. The shape of the support is different in the tunnel section and the bright section. In the tunnel section, an obstacle for insulation is provided between the support and the overhead line. That is, in a tunnel section, a support can be detected indirectly by detecting an obstacle. Previously, as a technique for detecting obstacles, there is known a detection device for rigid body wire to support obstacles, which is provided with a laser light source and a video camera on the upper part of the roof of the test vehicle. Covering the width of the overhead line, rigid body overhead line, and obstacles generates a slit image obtained by a light beam from a laser light source, and performs image processing to detect the obstacles (for example, see Patent Document 1 below). On the other hand, an overhead line detection device is also known which measures an overhead line by a range sensor provided on the roof of a vehicle, and calculates the height of the overhead line by a computing device based on the obtained measurement results. Or deviation (see, for example, Patent Document 2 below). [Prior Art Literature] [Patent Literature] [Patent Literature 1]] Japanese Patent Laid-Open No. 2005-147879 [Patent Literature 2]] Japanese Patent Laid-Open No. 2010-243416

[發明所欲解決之問題] 此處,先前之礙子檢測裝置有需要雷射光源、高感度相機及運算裝置等耗費成本之問題。 因此,本發明之目的在於提供一種能夠以簡單之構成抑制成本並且進行礙子之檢測之礙子檢測裝置及礙子檢測方法。 [解決問題之技術手段] 用以解決上述問題之第1發明之礙子檢測裝置之特徵在於具備: 一軸掃描型測域感測器,其設置於車輛之車頂上,至少取得至架線之距離及角度之資料;及 運算裝置,其具有架線位置算出部,上述架線位置算出部基於由上述測域感測器取得之資料而檢測架線之高度及偏位;且 上述運算裝置具備礙子檢測部,上述礙子檢測部從由上述測域感測器取得之資料而求得資料件數,且基於所得到之上述資料件數而檢測礙子。 又,第2發明之礙子檢測裝置之特徵在於, 上述礙子檢測部具有: 架線周圍資料件數計測部,其決定基於由上述架線位置算出部算出之架線之位置資料而執行礙子之檢測的區域即礙子檢測區域,求得該礙子檢測區域內之上述資料件數;及 礙子判定處理部,其基於上述資料件數而判定有無礙子。 又,第3發明之礙子檢測裝置之特徵在於, 上述礙子判定處理部於上述資料件數大於基於特定條線之上述礙子檢測區域內之資料件數之中央值及標準偏差而決定的特定值時,判定為有礙子。 又,第4發明之礙子檢測方法之特徵在於, 取得由設置於車輛之車頂上之測域感測器取得之與位於上述車輛上方之構造物之間的距離及角度之資料, 自上述資料求得資料件數, 基於所取得之上述資料件數而檢測礙子。 又,第5發明之礙子檢測方法之特徵在於, 決定基於上述資料而執行礙子之檢測之區域即礙子檢測區域, 自該礙子檢測區域內求得上述資料件數, 基於上述資料件數而判定有無礙子。 又,第6發明之礙子檢測方法之特徵在於, 於上述資料件數大於基於特定條線之上述礙子檢測區域內之資料件數之中央值及標準偏差而決定之特定值時,判定為有礙子。 [發明之效果] 根據本發明之礙子檢測裝置及礙子檢測方法,能夠以簡單之構成抑制成本,並且進行礙子之檢測。[Problems to be Solved by the Invention] Here, the conventional obstacle detection device has a problem that requires a laser light source, a high-sensitivity camera, and a computing device, which are costly. Therefore, an object of the present invention is to provide a hindrance detection device and a hindrance detection method capable of suppressing a cost with a simple structure and performing a hindrance detection. [Technical means for solving the problem] The obstacle detection device of the first invention for solving the above-mentioned problems is characterized by having: an axis-scanning type field detection sensor which is arranged on the roof of the vehicle and obtains at least the distance to the overhead line and Angle data; and a computing device having a wire position calculation unit that detects the height and deflection of the wire based on the data obtained by the range sensor; and the arithmetic device includes an obstacle detection unit, The obstacle detection unit obtains the number of pieces of data from the data obtained by the measurement area sensor, and detects the obstacles based on the obtained number of pieces of data. In addition, the obstacle detection device of the second invention is characterized in that the above-mentioned obstacle detection section includes: a wire-peripheral data piece number measuring section which decides to perform obstacle detection based on the position data of the wire calculated by the wire-position calculating section. The area of the obstacle is the obstacle detection area, and the number of the above-mentioned data pieces in the obstacle detection area is obtained; and the obstacle determination processing unit determines whether there is an obstacle based on the number of the above-mentioned data pieces. In addition, the obstacle detection device of the third invention is characterized in that the above-mentioned obstacle determination processing unit is determined when the number of data pieces is larger than a central value and a standard deviation based on the number of data pieces in the obstacle detection area of a specific line. If it is a certain value, it is judged as an obstacle. In addition, the obstacle detection method of the fourth invention is characterized in that it acquires data on the distance and angle between the sensor and the structure located above the vehicle, which is obtained by a field sensor installed on the roof of the vehicle. Obtain the number of data pieces, and detect obstacles based on the number of obtained data pieces. Furthermore, the obstacle detection method of the fifth invention is characterized in that an area where the detection of the obstacle is performed based on the above-mentioned data is determined as the obstacle detection area, and the number of the above-mentioned data pieces is obtained from the detection area of the obstacle, based on the above-mentioned data piece Check whether there are obstacles. In addition, the obstacle detection method of the sixth invention is characterized in that when the number of data pieces is larger than a specific value determined based on a central value and a standard deviation of the number of data pieces in the obstacle detection area of a specific line, the determination is made as Obstructive. [Effects of the Invention] According to the obstacle detection device and the obstacle detection method of the present invention, the cost can be suppressed with a simple structure and the obstacle detection can be performed.

以下,參照圖式對本發明之礙子檢測裝置及礙子檢測方法加以說明。 再者,本說明書中,如以下般定義用語。 「偏位」=鐵路專用語,係於集電弓與架空線接觸之位置上至集電弓之中央之距離。 「線」=利用測域感測器相對枕木方向掃描時所取得之測定面。例如在測域感測器以25 Hz測定時,1秒所取得之線數為25條線。 [實施例] 以下,使用圖1A至圖8說明本發明之實施例之礙子檢測裝置及礙子檢測方法之詳情。 如圖1A及圖1B所示,本實施例之礙子檢測裝置構成為具備:測域感測器2,其可測定架空線4地設置於車輛1之車頂上;及運算裝置3,其設置於車輛1之內部。 又,於圖2表示礙子之一例。圖2中,5為支持物,6為礙子,7為支持鞍座,8為剛體架線。 測域感測器2係如下者,即,藉由將雷射光繞與車輛1之行進方向平行之軸放射狀投光,並接收其反射光而測定至測定對象物之距離。本實施例中,測域感測器2以1080階掃描圖1A及圖1B所示之測定範圍(掃描角度270°),藉此角度分辨力ω變為0.25°。 運算裝置3基於測域感測器2之測定結果而算出架空線4之高度DH 或偏位DB 等。如圖3所示,運算裝置3具備架線位置算出部3a、架線周圍資料件數計測部3b、礙子判定處理部3c及記憶體3d。 架線位置算出部3a取得藉由測域感測器2掃描測定範圍A而取得之資料(角度及距離。以下稱為測域感測器資料),且基於該測域感測器資料而算出架線位置(高度DH 及偏位DB 等)。此處,圖1A及圖1B中所示之符號B係於算出架線位置時,於測定範圍A內基於架空線4之高度方向及水平方向之偏位而設定的架線檢測區域。再者,架線位置之計測係使用已知之方法(例如參數上述專利文獻2之段落0032~0056等),省略此處之詳細說明。 架線周圍資料件數計測部3b係以由架線位置算出部3a求得之架線位置為基準,指定高度、偏位之範圍而決定礙子之檢測區域C(參照圖2),自架線位置資料計測該礙子檢測區域C內之雷射資料數(以下稱為資料件數),求得如圖5及圖7所示之與剛體架線8之間所含之區塊之資料件數。該處理係對特定條線(例如數千條線)之掃描資料一併進行。 再者,礙子檢測區域C係根據剛體架線8之位置或形狀及至頂部之距離,例如藉由將架空線4之位置設為(0,0)而相對性地指定原點(x0 ,y0 ),並且設定寬度W及高度H而決定。再者,x0 及寬度W係以於礙子檢測區域C之偏位方向之範圍內至少包含礙子6之方式設定,y0 及高度H係以礙子檢測區域C之上下方向之範圍成為自低於架空線4的位置至高於礙子6且低於頂部之位置的範圍之方式設定。 礙子判定處理部3c基於由架線周圍資料件數計測部3c求得之資料件數而檢測礙子6。即,礙子檢測區域C內之資料件數有如下傾向,即,相對於如圖4及圖5所示僅有剛體架線8之情形(不存在礙子6之情形)時在架空線4周圍所取得的資料件數,而如圖6及圖7所示存在礙子6之情形時在架空線4周圍所取得的資料件數較多。礙子判定處理部3c利用該傾向而檢測礙子6。 具體而言,求得位於特定條線之礙子檢測區域C內之資料件數的中央值m及標準偏差s。若將要判定之線設為第i條線,且將第i條線之資料件數設為Di,則當滿足下式(1)時,判斷為於第i條線上存在礙子6。 Di>m+(decision coefficient(決策係數))﹡s …(1) 此處,decision coefficient係礙子判定所使用之係數。 又,圖4及圖6中之L表示線。 記憶體3d記憶各種資料。 其次,使用圖8對本實施例之礙子檢測裝置之處理進行簡單說明。 如圖8所示,本實施例中進行礙子6之檢測時,首先,收集藉由測域感測器2取得之距離資料(步驟S1),基於藉由架線位置算出部3a收集之距離資料而算出架空線4之位置(步驟S2)。繼而,基於藉由架線位置算出部3a算出之架空線4之位置,而由架線周圍資料件數計測部3b計測架空線4周圍之資料件數(步驟S3),基於計測出之特定條線之資料件數,而藉由礙子判定處理部3c檢測礙子6(步驟S4)。 根據如此構成之本實施例之礙子檢測裝置及礙子檢測方法,基於由使用一軸掃描型測域感測器2之簡單裝置所取得之架空線4之偏位及高度,計測該架空線4周圍之資料件數,於其值為大於其他線之資料件數之值時,判定為於該線上存在礙子6,藉此檢測出礙子6,從而可間接地檢測出支持物5。 此處,先前方法中係使用所謂之光切斷法之方法,即,照射雷射狹縫光,使用相機測定由雷射光映出之礙子部之形狀。然而該方法中,需要相機與雷射之二台構成,有耗費成本並且裝置構成繁雜之問題。 相對於此,本實施例之礙子檢測裝置及礙子檢測方法中,具有能夠以一台掃描式雷射(測域感測器2)之簡單構成抑制成本並且進行礙子6之檢測之優點。再者,亦具有能夠礙子6之檢測中所使用之測域感測器2測定架空線4之高度的優點。 [產業上之可利用性] 本發明可應用於礙子檢測裝置及礙子檢測方法。Hereinafter, the obstacle detection device and the obstacle detection method of the present invention will be described with reference to the drawings. In this specification, terms are defined as follows. "Offset" = railway term, which is the distance from the position where the pantograph is in contact with the overhead line to the center of the pantograph. "Line" = The measurement surface obtained when the measurement area sensor is scanned relative to the sleeper. For example, when the range sensor measures at 25 Hz, the number of lines obtained in one second is 25 lines. [Embodiment] Hereinafter, the details of the obstacle detection device and the obstacle detection method according to the embodiment of the present invention will be described with reference to FIGS. 1A to 8. As shown in FIGS. 1A and 1B, the obstacle detection device of this embodiment is configured to include: a field detection sensor 2 that can be installed on the roof of the vehicle 1 to measure the overhead line 4; and a computing device 3 that is provided. Inside vehicle 1. An example of an obstacle is shown in FIG. 2. In Fig. 2, 5 is a support, 6 is an obstacle, 7 is a saddle, and 8 is a rigid body wire. The measurement area sensor 2 measures the distance to the measurement object by projecting laser light radially about an axis parallel to the traveling direction of the vehicle 1 and receiving the reflected light. In this embodiment, the measurement range sensor 2 scans the measurement range (scanning angle 270 °) shown in FIG. 1A and FIG. 1B at 1080 steps, thereby the angular resolution ω becomes 0.25 °. The computing device 3 calculates the height D H or the offset D B of the overhead line 4 based on the measurement result of the measurement area sensor 2. As shown in FIG. 3, the computing device 3 includes a wire position calculation unit 3 a, a wire-peripheral data number measurement unit 3 b, an obstacle determination processing unit 3 c, and a memory 3 d. The line position calculation unit 3a obtains data (angle and distance. The area sensor data is hereinafter referred to) obtained by scanning the measurement range A by the range sensor 2, and calculates the line based on the range sensor data. Position (height D H and offset D B, etc.). Here, the symbol B shown in FIG. 1A and FIG. 1B is an overhead line detection area set based on the deviation of the height direction and the horizontal direction of the overhead line 4 in the measurement range A when calculating the overhead line position. In addition, the measurement of the line position is performed by a known method (for example, the parameters of paragraphs 0032 to 0056 of the above-mentioned Patent Document 2), and detailed descriptions thereof are omitted here. The measurement unit 3b for the number of data around the line is based on the line position obtained by the line position calculation unit 3a, and specifies the range of height and deflection to determine the detection area C of the obstacle (see FIG. 2). The number of laser data in the obstacle detection area C (hereinafter referred to as the number of data pieces) is to obtain the number of data pieces of the block contained between the rigid body wire 8 as shown in FIG. 5 and FIG. 7. This processing is performed on the scan data of a specific line (for example, thousands of lines) together. Moreover, the obstacle detection area C is based on the position or shape of the rigid body line 8 and the distance to the top. For example, by setting the position of the overhead line 4 to (0,0), the origin (x 0 , y) is specified relatively. 0 ), and determined by setting the width W and the height H. In addition, x 0 and width W are set so that at least the hinder 6 is included in the range of the offset direction of the obstacle detection area C, and y 0 and height H are set in the range of the up and down direction of the obstacle detection area C as The range is set from the position lower than the overhead line 4 to the position higher than the obstacle 6 and lower than the top. The obstacle determination processing unit 3c detects the obstacle 6 based on the number of data pieces obtained by the number of data pieces measurement unit 3c around the line. That is, the number of data pieces in the obstacle detection area C tends to be around the overhead line 4 compared with the case where only the rigid body wire 8 is present as shown in FIGS. 4 and 5 (the case where there is no obstacle 6). The number of data pieces obtained, and when there are obstacles 6 as shown in FIG. 6 and FIG. 7, the number of data pieces obtained around the overhead line 4 is large. The obstacle determination processing unit 3c detects the obstacle 6 using this tendency. Specifically, the median value m and the standard deviation s of the number of data pieces located in the obstacle detection area C of a specific line are obtained. If the line to be determined is the i-th line and the number of data pieces of the i-th line is Di, then when the following formula (1) is satisfied, it is determined that there is an obstacle 6 on the i-th line. Di> m + (decision coefficient) ﹡ s (1) Here, the decision coefficient is a coefficient used in the judgment of an obstacle. Note that L in FIGS. 4 and 6 represents a line. Memory 3d stores various data. Next, the processing of the obstacle detection device of this embodiment will be briefly described using FIG. 8. As shown in FIG. 8, when detecting the obstacle 6 in this embodiment, first, collect the distance data obtained by the range sensor 2 (step S1), based on the distance data collected by the line position calculation unit 3 a. Then, the position of the overhead line 4 is calculated (step S2). Then, based on the position of the overhead line 4 calculated by the overhead position calculation unit 3a, the number of data pieces around the overhead line measurement unit 3b measures the number of data pieces around the overhead line 4 (step S3), and based on the measured specific line According to the number of data, the obstacle 6 is detected by the obstacle determination processing unit 3c (step S4). According to the obstructor detection device and the obstructor detection method of the present embodiment thus constituted, the overhead line 4 is measured based on the deflection and height of the overhead line 4 obtained by a simple device using the one-axis scanning type area sensor 2. When the number of surrounding pieces of data is greater than the number of pieces of data of other lines, it is determined that there is an obstacle 6 on the line, thereby detecting the obstacle 6 and thus the support 5 can be detected indirectly. Here, the conventional method is a method using a so-called light-cutting method, that is, the laser slit light is irradiated, and the shape of the interfering part reflected by the laser light is measured using a camera. However, in this method, two cameras and a laser are required, which are costly and complicated. In contrast, the hinder detection device and the hinder detection method of this embodiment have the advantages of being able to suppress the cost and perform the detection of the hinder 6 with a simple configuration of a scanning laser (field detection sensor 2). . Furthermore, it also has the advantage of being able to measure the height of the overhead line 4 by the measurement area sensor 2 used in the detection of the son 6. [Industrial Applicability] The present invention can be applied to an obstacle detection device and an obstacle detection method.

1‧‧‧車輛 1‧‧‧ vehicle

2‧‧‧測域感測器 2‧‧‧ measuring field sensor

3‧‧‧運算裝置 3‧‧‧ Computing Device

3a‧‧‧架線位置算出部 3a‧‧‧Wire position calculation unit

3b‧‧‧架線周圍資料件數計測部 3b‧‧‧Measurement Department

3c‧‧‧礙子判定處理部 3c‧‧‧Impact judgment processing unit

3d‧‧‧記憶體 3d‧‧‧Memory

4‧‧‧架空線 4‧‧‧ overhead line

5‧‧‧支持物 5‧‧‧ support

6‧‧‧礙子 6‧‧‧ hinder

7‧‧‧支持鞍座 7‧‧‧ Support saddle

8‧‧‧剛體架線 8‧‧‧ rigid body wire

A‧‧‧測定範圍 A‧‧‧Measurement range

B‧‧‧檢測範圍 B‧‧‧ Detection range

C‧‧‧礙子檢測區域 C‧‧‧ Obstacle detection area

DB‧‧‧架空線之偏位D B ‧‧‧ Deviation of overhead line

DH‧‧‧架空線之高度D H ‧‧‧ height of overhead line

H‧‧‧礙子檢測區域之高度 H‧‧‧ Height of obstacle detection area

L‧‧‧線 L‧‧‧ line

S1~S4‧‧‧步驟 Steps S1 ~ S4‧‧‧‧

W‧‧‧礙子檢測區域之寬度 W‧‧‧ Width of obstacle detection area

圖1A係模式性表示本發明之實施例之礙子檢測裝置之應用例之前視圖。 圖1B係模式性表示本發明之實施例之礙子檢測裝置之應用例之側視圖。 圖2係表示礙子之一例之立體圖。 圖3係表示本發明之實施例1之礙子檢測裝置之構成之方塊圖。 圖4係表示自正下方觀察剛體架線之例之說明圖。 圖5係表示圖4所示之礙子之檢測例之說明圖。 圖6係表示自正下方觀察存在礙子之部位之說明圖。 圖7係表示圖6所示之礙子之檢測例之說明圖。 圖8係表示本發明之實施例1之礙子檢測處理之流程之流程圖。FIG. 1A is a front view schematically showing an application example of an obstacle detection device according to an embodiment of the present invention. FIG. 1B is a side view schematically showing an application example of the obstacle detection device according to the embodiment of the present invention. Fig. 2 is a perspective view showing an example of an obstacle. Fig. 3 is a block diagram showing the structure of an obstacle detection device according to the first embodiment of the present invention. FIG. 4 is an explanatory diagram showing an example of rigid body wire viewed from directly below. FIG. 5 is an explanatory diagram showing an example of detection of an obstacle shown in FIG. 4. FIG. FIG. 6 is an explanatory diagram showing a part where an obstructor exists when viewed from directly below. FIG. 7 is an explanatory diagram showing an example of detection of an obstacle shown in FIG. 6. FIG. 8 is a flowchart showing a flow of an obstacle detection process according to the first embodiment of the present invention.

Claims (6)

一種礙子檢測裝置,其特徵在於具備: 一軸掃描型測域感測器,其設置於車輛之車頂上,至少取得至架空線之距離及角度之資料;及 運算裝置,其具有架線位置算出部,上述架線位置算出部基於由上述測域感測器取得之資料而檢測架線之高度及偏位;且 上述運算裝置具備礙子檢測部,上述礙子檢測部從由上述測域感測器取得之資料求得資料件數,且基於所得到之上述資料件數而檢測礙子。An obstacle detection device, comprising: an axis-scanning type area sensor, which is arranged on the roof of a vehicle and obtains at least distance and angle data of an overhead line; and a computing device having an overhead line position calculation unit The above-mentioned line position calculation unit detects the height and deviation of the line based on the data obtained by the above-mentioned range sensor; and the computing device includes an obstacle detection unit, and the above-mentioned obstacle detection unit obtains from the above-mentioned area sensor. Obtain the number of data from the data, and detect obstacles based on the number of the obtained data. 如請求項1之礙子檢測裝置,其中上述礙子檢測部具有: 架線周圍資料件數計測部,其決定基於由上述架線位置算出部算出之架線之位置資料而執行礙子之檢測的區域即礙子檢測區域,求得該礙子檢測區域內之上述資料件數;及 礙子判定處理部,其基於上述資料件數而判定有無礙子。For example, the obstacle detection device according to claim 1, wherein the above-mentioned obstacle detection section includes: a line-peripheral data piece number measurement section that determines an area where the detection of the obstacle is performed based on the position data of the line calculated by the line-position calculating section; Obstacle detection area, to obtain the number of the above-mentioned data in the obstacle detection area; and the obstacle determination processing section, which determines the presence or absence of an obstacle based on the above-mentioned number of data pieces. 如請求項2之礙子檢測裝置,其中上述礙子判定處理部於上述資料件數大於基於特定條線之上述礙子檢測區域內之資料件數的中央值及標準偏差而決定之特定值時,判定為有礙子。For example, if the obstacle detection device of item 2 is requested, the above-mentioned obstacle judgment processing section is performed when the number of data pieces is greater than a specific value determined based on the central value and standard deviation of the number of data pieces in the obstacle detection area of the specific line , Determined to be a hindrance. 一種礙子檢測方法,其特徵在於取得藉由設置於車輛之車頂上之測域感測器取得的對位於上述車輛上方之構造物之距離及角度之資料, 自上述資料求得資料件數,且 基於所取得之上述資料件數而檢測礙子。A method for detecting obstacles, which is characterized by obtaining data on the distance and angle of a structure located above the vehicle, obtained by a field sensor provided on the roof of the vehicle, and obtaining the number of data from the above data. And the obstacle is detected based on the number of the obtained information. 如請求項4之礙子檢測方法,其中決定基於上述資料而執行礙子之檢測之區域即礙子檢測區域, 自該礙子檢測區域內求得上述資料件數,且 基於上述資料件數而判定有無礙子。For example, the obstacle detection method of claim 4, wherein the area where the detection of the obstacle is performed based on the above-mentioned data is the obstacle detection area, and the number of the above-mentioned data pieces is obtained from the detection area of the obstacle, and based on the above-mentioned data number, Determine whether there is an obstacle. 如請求項5之礙子檢測方法,其中於上述資料件數大於基於特定條線之上述礙子檢測區域內之資料件數的中央值及標準偏差而決定之特定值時,判定為有礙子。If the obstacle detection method of item 5 is requested, when the number of the above-mentioned data pieces is greater than a specific value determined based on the central value and the standard deviation of the number of data pieces in the above-mentioned obstacle detection area of a specific line, it is determined as an obstacle .
TW106131386A 2016-09-13 2017-09-13 Insulator detection device and obstacle detection method TWI641515B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP??2016-178543 2016-09-13
JP2016178543A JP6311757B2 (en) 2016-09-13 2016-09-13 Insulator detecting device and insulator detecting method

Publications (2)

Publication Number Publication Date
TW201811588A true TW201811588A (en) 2018-04-01
TWI641515B TWI641515B (en) 2018-11-21

Family

ID=61619905

Family Applications (1)

Application Number Title Priority Date Filing Date
TW106131386A TWI641515B (en) 2016-09-13 2017-09-13 Insulator detection device and obstacle detection method

Country Status (5)

Country Link
JP (1) JP6311757B2 (en)
CN (1) CN109716057A (en)
MY (1) MY178813A (en)
TW (1) TWI641515B (en)
WO (1) WO2018051738A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110852986A (en) * 2019-09-24 2020-02-28 广东电网有限责任公司清远供电局 Method, device and equipment for detecting self-explosion of double-string insulator and storage medium
JP7481998B2 (en) 2020-10-30 2024-05-13 株式会社日立プラントコンストラクション Contact line wear measuring device for unmanned traveling cart, unmanned traveling cart for contact line wear measuring, operation program for unmanned traveling cart for contact line wear measuring
CN116907412B (en) * 2023-09-12 2023-11-17 农业农村部南京农业机械化研究所 Agricultural machinery row spacing deviation detection method, device and system

Family Cites Families (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3964077B2 (en) * 1999-07-12 2007-08-22 東日本旅客鉄道株式会社 Trolley wire support insulator height measuring device
JP4260148B2 (en) * 2005-09-14 2009-04-30 ユニバーサル機器株式会社 Inspection vehicle for railway equipment
EP2074603B1 (en) * 2006-09-28 2012-05-02 Bea S.A. Sensor for presence detection
JP5072336B2 (en) * 2006-12-07 2012-11-14 株式会社キーエンス Optical displacement sensor and optical displacement meter
JP5283548B2 (en) * 2009-03-27 2013-09-04 川崎重工業株式会社 Railway rail fastening looseness inspection apparatus and method
JP5423567B2 (en) * 2010-04-30 2014-02-19 株式会社明電舎 Vehicle position measuring device for electric railway maintenance
CN201828817U (en) * 2010-08-31 2011-05-11 成都国铁精工科技有限责任公司 Bow net operation status on-line monitoring device
CN102353348B (en) * 2011-06-28 2013-05-01 中铁建电气化局集团康远新材料有限公司 Detection and automatic straightening method of electrified railway construction contact line hard spot
WO2014024812A1 (en) * 2012-08-06 2014-02-13 株式会社 明電舎 Support detection device using laser measurement
CN102840828A (en) * 2012-08-29 2012-12-26 徐州宇飞电力科技有限公司 Static parameter measurement device of contact net and usage method thereof
KR20140031541A (en) * 2012-09-04 2014-03-13 한국철도공사 Defect inspection system of overhead contact line
JP6069639B2 (en) * 2013-07-11 2017-02-01 株式会社明電舎 Wire measuring device
CN103454556B (en) * 2013-08-09 2016-01-20 国家电网公司 A kind of inspection device and detection method thereof with 3D scan function
CN103438809A (en) * 2013-09-03 2013-12-11 天津大学 Vehicle-width measurement method and device based on area-array / linear-array cameras
CN103557788B (en) * 2013-10-15 2015-10-14 西南交通大学 A kind of high ferro contact net connects geometric parameter and detects non-contact compensation and Kalman filtering modification method
CN103884289B (en) * 2014-04-02 2016-04-13 中国民航大学 Based on aviation luggage size and the number of packages inspection method of two-colour laser distancemeter
JP6368933B2 (en) * 2014-07-24 2018-08-08 株式会社明電舎 Overhead wire position measuring apparatus and method
CN104315984A (en) * 2014-10-31 2015-01-28 中国神华能源股份有限公司 Method and system for measuring abrasion of railway contact line
CN104406521A (en) * 2014-12-15 2015-03-11 济南蓝动激光技术有限公司 Vision measurement technology-based catenary geometric parameter measurement instrument and detection method
CN104748685A (en) * 2015-04-17 2015-07-01 上海铁路局科学技术研究所 Dynamic measurement method of geometric parameters of overhead contact system
CN105043279B (en) * 2015-05-08 2017-08-29 东莞市诺丽电子科技有限公司 The measurement method for distance of single track contact line
CN205097980U (en) * 2015-11-12 2016-03-23 北京天格高通科技有限公司 Contact net detects tool car based on laser radar
CN105300295B (en) * 2015-11-24 2017-11-03 湖南大学 A kind of contactless contact net geometric parameter detecting system of portable single track and method
CN106767398B (en) * 2016-11-21 2019-10-11 国网四川省电力公司电力科学研究院 A kind of suspension insulator comprehensive parameters detection device and detection method

Also Published As

Publication number Publication date
CN109716057A (en) 2019-05-03
WO2018051738A1 (en) 2018-03-22
JP6311757B2 (en) 2018-04-18
TWI641515B (en) 2018-11-21
MY178813A (en) 2020-10-20
JP2018044816A (en) 2018-03-22

Similar Documents

Publication Publication Date Title
CN108778889B (en) Method and measuring system for detecting a fixed point beside a track
US20120300060A1 (en) Vision system for imaging and measuring rail deflection
JP5698285B2 (en) Overhead wire position measuring apparatus and method
TWI579523B (en) Line measuring device and method thereof
JP6069639B2 (en) Wire measuring device
TWI593939B (en) Overhead wire abrasion measuring apparatus and overhead wire abrasion measuring method
JP2017187418A (en) Wear inspection apparatus and wear inspection method
TW201811588A (en) Insulator detection device and insulator detection method
KR101128835B1 (en) Measuring Apparatus for Height and stagger of trolley line using Line Scan Camera and Method thereof
JP4692517B2 (en) Method for diagnosing laying position of derailment prevention guard for railway vehicles
JP6159177B2 (en) Overhead wire position measuring apparatus and method
JP6277468B2 (en) Vehicle power pole position inspection device
JP6644720B2 (en) Train wire fitting detection system and its detection method
JP6260026B2 (en) Overhead wire position measuring apparatus and overhead wire position measuring method by image processing
KR102040025B1 (en) Method for measuring the shape of wheel for railway vehicles
WO2016208463A1 (en) Wire measurement device and method
JP5952759B2 (en) Overhead wire position measuring apparatus and method
KR101371531B1 (en) A system and a method for inspecting catenary through a vibration correction
JP2015225055A (en) Trolley wire wear measuring instrument by image processing and method thereof
JP6938972B2 (en) Third rail measurement method and equipment
JP6389783B2 (en) Crossover relative position management apparatus and method
JP6308681B2 (en) Crossover equipment monitoring device and method
JP2019045449A (en) Third-rail measuring apparatus and method
TW201919933A (en) Utility pole distance measuring device capable of measuring shortest horizontal distance to utility pole in precision regardless day and night