JP2013064241A - Diagnostic system for work machine - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a diagnostic system for work machine capable of securing many pieces of snapshot data associated with specific abnormality.SOLUTION: It is not assumed that overheating occurs at the night in winter, and many pieces of data on overheating (specific abnormality) need to be gathered quickly so as to find the cause of the abnormality. Once an administrator specifies an abnormality code "100" (overheating) through a terminal 16 for administration, a snapshot storage control part 35 specifies the abnormality code "100". Once the overheating occurs, the snapshot storage control part 35 stores only snapshot data associated with the abnormality code "100" in a snapshot storage part 36. At this time, even when abnormality other than the overheating occurs, snapshot data associated with the abnormality is not stored. Data with IDs 1-3 in the snapshot storage part 36 are all snapshot data associated with the abnormality code "100".

Description

  The present invention relates to a work machine abnormality diagnosis system that stores snapshot data related to operation information of a work machine when an abnormality occurs and appropriately transmits the snapshot data to a management-side terminal.

  It is important for the user of the work machine that the work machine can be used continuously without a failure. Therefore, an abnormality diagnosis system is mounted on the work machine, and failure is prevented in advance by detecting the abnormality. In the unlikely event of a failure, analysis of abnormal data and investigation of the cause of the failure enables prompt repair.

  The abnormality diagnosis system for a work machine detects the occurrence of an abnormality based on operation information of the work machine input from various sensors, and transmits the abnormality data to a management terminal installed outside. The abnormality data received by the management terminal is analyzed in detail by the administrator, and the cause of the abnormality is investigated. At this time, it is classified into identification information (abnormal code) indicating the type of abnormality, and operation information from each related sensor is stored for each abnormal code, and is associated with the abnormal code and transmitted to the administrator. If this amount of data is large, measures such as increasing the storage capacity or increasing the transmission speed must be taken. For this reason, only the operation information for a predetermined period (before and after the occurrence of the abnormality) is stored and transmitted with reference to the time of occurrence of the abnormality so that the data amount does not increase. This operation information is called snapshot data. That is, the data storage amount and the data transmission amount are suppressed by suppressing the data amount of the snapshot data.

  As described above, the amount of snapshot data that can be stored is limited. When the upper limit is exceeded, snapshot data with an old detection date and time is rewritten to snapshot data with a new detection date and time. In this case, there is a possibility that the snapshot data with the oldest detection date / time will be deleted before being transmitted to the management terminal, and necessary snapshot data cannot be acquired.

  On the other hand, in the prior art according to Patent Document 1, priorities are assigned to the abnormality codes, and the abnormality diagnosis system is used when a new abnormality occurs when there is no space for storing new snapshot data. When there is a lower priority in the stored past snapshot data than the priority order related to the new abnormality, it replaces the past snapshot data having the lower priority order and relates to the new abnormality. Store snapshot data.

  By setting the priority of the desired error code high, snapshot data related to an abnormality with a high priority can be preferentially stored, so that snapshot data related to the abnormality can be reliably acquired. can do.

  This priority is set mainly with reference to rules of thumb in Japan (Japan).

JP 2011-70397 A

  By the way, in recent years, work machines have been used all over the world. The usage environment and usage conditions vary greatly from area to area, and there may be frequent occurrences of unexplained abnormalities where domestic rules of thumb cannot be applied. In such a case, the administrator needs to collect as much data as possible regarding the abnormality of unknown cause (specific abnormality) in order to quickly investigate the cause of the abnormality.

  In the prior art, by setting the priority of a specific abnormality code to the highest priority, snapshot data relating to the specific abnormality can be preferentially stored. On the other hand, the technical idea in the prior art is to make priority acquisition of important data and various data acquisition coexist. Therefore, if the snapshot data related to one specific abnormality is preferentially stored, the snapshot data related to another abnormality having a higher priority is stored.

  In normal times, snapshot data related to other high-priority abnormality is also useful. However, in order to investigate the cause of the specific abnormality, it is necessary to collect as much data regarding the specific abnormality as possible, and other data becomes useless data. Unnecessary data acquisition delays the investigation of the cause of the abnormality.

  An object of the present invention is to provide an abnormality diagnosis system for a work machine that can reliably acquire a large number of snapshot data relating to a specific abnormality.

  (1) In order to achieve the above object, the present invention provides an operation information detecting means for detecting a plurality of operation information of a work machine, and for each of a plurality of predetermined abnormal codes based on the operation information. An abnormality determination means for determining an abnormality, at least one operation information corresponding to the abnormality code, snapshot data storage means for storing the data as snapshot data over a predetermined period based on the occurrence of the abnormality, and the snapshot data Snapshot data storage control means for making a determination including whether to store in the snapshot data storage means and whether to delete the snapshot data stored in the snapshot data storage means; and includes snapshot data Work machine having communication means for transmitting / receiving information to / from external management terminal In the abnormality diagnosis system, the snapshot data storage control means has an abnormality code specifying function unit for specifying an error code from the plurality of error codes. Only such snapshot data is stored.

  When a specific abnormality occurs, the snapshot storage control unit stores only the snapshot data related to the specific abnormality code in the snapshot storage unit. At this time, even if an abnormality other than the specific abnormality occurs, snapshot data relating to the abnormality is not stored. As a result, a large number of snapshot data relating to a specific abnormality can be obtained with certainty. As a result, the administrator can quickly determine the cause of the abnormality related to the specific abnormality.

  (2) In the above (1), according to the present invention, the abnormal code identification function unit identifies an abnormal code based on a command from the external management terminal via the communication means.

  Thereby, the administrator can specify an abnormal code for a plurality of work machine machines from within the management station located away from the work machine. By acquiring snapshot data from a plurality of work implement machines, a larger number of snapshot data can be acquired.

  (3) In the above (1), the present invention further comprises position detection means for detecting a position where the work machine exists, and the snapshot data storage control means is configured such that the position detected by the position detection means is within a specific area. The specific area setting function unit for setting the specific area so that the abnormal code specifying function unit operates.

  (4) In the above (1), the present invention further includes a date / time detecting means for detecting the date / time, and the snapshot data storage control means is configured to detect the date / time detected by the date / time detecting means within a specific period. A specific period setting function unit is provided for setting a specific period so that the abnormal code identification function unit operates.

  By (3) and (4), the snapshot storage control means restricts the operation of the abnormal code specifying function unit and performs normal control. In normal times, snapshot data relating to an abnormality other than the specific abnormality is also useful, and the snapshot data can be reliably acquired.

  (5) In the above (1), according to the present invention, the abnormal code specifying function unit can specify two or more abnormal codes.

  According to the present invention, it is possible to reliably acquire a large number of snapshot data relating to a specific abnormality. As a result, the administrator can quickly determine the cause of the abnormality related to the specific abnormality.

It is a figure which shows the whole structure of the control system of a working machine. It is a figure which shows the main structures of an abnormality diagnosis system. It is a figure which shows the data structure of an abnormal code. It is an example of the snapshot data memorize | stored in a snapshot memory | storage part at normal time (equivalent to a prior art). It is a control processing flowchart of a snapshot storage control unit. It is an abnormal code specific conceptual diagram (operation 1). It is an example of the snapshot data memorize | stored in a snapshot memory | storage part (operation | movement 1). It is an abnormal code specific conceptual diagram (operation 2). It is an example of the snapshot data memorize | stored in a snapshot memory | storage part (operation | movement 2).

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

~Constitution~
FIG. 1 is a diagram showing the overall configuration of a control system for a work machine on which the present invention is mounted. Work machines include hydraulic excavators, wheel loaders, dump trucks, bulldozers, and the like.

  In FIG. 1, the control system according to the present embodiment includes an engine controller 1, a vehicle body controller 2, an information controller 3, and a communication controller 4, which are connected to each other via a vehicle body network 5. Yes.

  The engine controller 1 controls an electronic governor provided in the engine. Input detection signals from various sensors 11 such as an actual engine speed sensor, and output a command signal to each device 12 such as an electronic governor so as to control the fuel injection amount and the engine speed and output torque. .

  The vehicle body controller 2 controls a hydraulic drive device of the work machine. The hydraulic drive device is driven by a hydraulic pump that is driven to rotate by an engine and pressure oil discharged from the hydraulic pump. Hydraulic pressure such as a plurality of hydraulic actuators that drive the drive body, a control valve that controls the flow of pressure oil supplied from the hydraulic pump to the hydraulic actuator, and an operating lever device that operates the control valve to drive the corresponding hydraulic actuator Includes equipment. The vehicle body controller 2 inputs detection signals from various sensors 13, such as a detection sensor that detects the operation amount of the operation lever device, for example, controls the tilt angle (capacity) of the hydraulic pump, and according to the operation amount A command signal is output to each device 14 such as a regulator so as to discharge the flow rate.

  The information controller 3 inputs various operation information (detection data) from the engine controller 1 and the vehicle body controller 2 via the vehicle body network 5, collects and stores them in a database.

  The communication controller 4 controls transmission / reception with the management terminal 16 via the communication device 15. The management terminal 16 is installed in a management station located away from the work machine. Further, the communication controller 4 receives position information and time information from a GPS satellite via the GPS antenna 17.

  The communication controller 4 transmits the data stored by the information controller 3 to the management terminal 16 at predetermined time intervals (for example, once a day). If communication is not possible, such as when the work vehicle is in a tunnel, it is transmitted when the state returns to a communicable state.

  FIG. 2 is a diagram showing a main configuration of the abnormality diagnosis system of the present invention. The abnormality diagnosis system is mainly configured with each function of the information controller 3. The abnormality diagnosis system is mounted on a work machine, and includes an input unit 31, an acquired operation information storage unit 32, an abnormality determination unit 33, a setting information storage unit 34, a snapshot data storage control unit 35, A snapshot data storage unit 36, an internal clock 37, and an output unit 38 are provided.

  The input unit 31 receives from the various sensors 11 and 13 operation information related to the operation status of the work machine, command information from the management terminal 16, and GPS satellites via the vehicle body network 5 and the controllers 1, 2, and 4. Input location information and time information.

  Examples of the various sensors 11 and 13 include a key signal sensor, an overheat signal sensor, an engine oil pressure sensor, an actual engine speed sensor, a water temperature sensor, an air filter differential pressure sensor, a main hydraulic pump pressure sensor, and the like.

  For example, the overheat signal sensor detects an overheat signal transmitted when the engine coolant temperature reaches or exceeds a set value.

  The engine oil pressure sensor detects engine oil pressure and detects an abnormality in the engine oil circulation system. For example, when the engine hydraulic pressure reaches a set value or less, it can be considered that an abnormality such as oil leakage has occurred in the engine oil circulation system.

  Description of other sensors is omitted.

  The acquired operation information storage unit 32 stores operation information from the various sensors 11 and 13 via the input unit 31. There are a large number of sensors, and when operating information for a long period is stored, the amount of operating information becomes enormous and the storage capacity of the acquired operating information storage unit 32 must be sufficiently secured. Therefore, from the viewpoint of suppressing the storage capacity of the acquired operation information storage unit 32, the type of data (target sensor) and the storage period are selected, and necessary data is separately stored in the snapshot storage unit 36 as snapshot data ( New operation information is overwritten along with (described later).

  The abnormality determination unit 33 determines whether an abnormality has occurred in the work machine based on the operation information stored in the acquired operation information storage unit 32. For example, when the overheat signal is detected by the overheat signal sensor, the abnormality determination unit 33 determines that “overheating” has occurred, and when the engine oil pressure sensor detects that the engine oil pressure has reached a set value or less, the “engine It is determined that the “hydraulic pressure drop” has occurred. The abnormality determination unit 33 determines abnormality for each predetermined abnormality code. When the abnormality determination unit 33 determines that an abnormality has occurred, the snapshot storage control unit 35 operates.

  The setting information storage unit 34 stores preset setting information. The setting information is normally unchanged, but can be changed by the administrator via the management terminal 16. The setting information includes an error code, acquisition data corresponding to the error code, priority order of the error code, snapshot acquisition target area, snapshot acquisition target operation period, and the like.

  FIG. 3 is a diagram illustrating a data structure of the abnormal code. The abnormal code is an identifier determined according to the type of abnormality. For example, the abnormal code of overheating is a code No. “100”, priority “10” (in 10 stages), correspondence acquisition data “key signal, water temperature, outside air temperature, actual engine speed, engine load factor, atmospheric pressure” are set. The priority order indicates the order of priority stored in the snapshot data related to the anomaly that has occurred, depending on the degree of impact that the anomaly has on the behavior of the work machine and the urgency of responding to the anomaly that has occurred. The higher the priority and the higher the urgency, the higher the priority is set. The correspondence acquisition data is data related to the abnormal code, and is set from an empirical rule. Specifically, it is divided into 10 stages, and the highest impact level and the urgency level are set to “10”, and the lowest impact level and the urgency level are set to “1”. Description of other abnormal codes is omitted.

  The snapshot storage control unit 35 stores the operation information in the acquired operation information storage unit 32 as snapshot data in the snapshot storage unit 36 so that the snapshot storage unit 36 with a limited storage capacity can be used efficiently. It is determined whether or not to delete the snapshot data already stored in the snapshot storage unit 36.

  For example, the snapshot storage control unit 35 gives priority to a new abnormality in the stored past snapshot data when a new abnormality occurs when there is no space for storing new snapshot data. When there is a lower priority than the order, the past snapshot data with the lower priority is deleted, and the snapshot data relating to the new abnormality is stored (that is, overwritten) in the vacant area.

  Even when the new abnormality has the same abnormality code or the same priority, the snapshot data related to the new abnormality is overwritten in the area where the past snapshot data is stored.

  Further, the snapshot data transmitted to the management terminal 16 is deleted to secure a free area.

  Further, the plurality of snapshot data stored in the snapshot storage unit 36 is rearranged for each priority order.

  In order to efficiently use the snapshot storage unit 36, it is necessary to reduce the amount of snapshot data. The snapshot storage control unit 35 stores only the operation information that has been traced back by a predetermined period from the present to the past. As a measure of the period for storing the operation information, it is only necessary to store the operation information over a longer period than that period in consideration of the period of the operation information extracted as the snapshot data. For example, when the operation information for 2 minutes before and after the occurrence of an abnormality is used as snapshot data, the operation information for 4 minutes is stored in the snapshot storage unit 36 from the present to the past.

  The above control is performed by the normal processing function unit 35 a of the snapshot storage control unit 35.

  The snapshot storage unit 36 stores snapshot data under the control of the snapshot storage control unit 35.

  FIG. 4 is an example of snapshot data stored in the snapshot storage unit 36 at the normal time. The snapshot data storage unit 36 has a limited storage capacity (memory capacity), and there is an upper limit on the number of snapshot data that can be stored. For example, the number of pieces of snapshot data that can be stored is three, and IDs (1 to 3) are assigned to the respective data. The snapshot storage unit 36 stores the data body (acquired data relating to each sensor) together with the abnormality code, the abnormality occurrence time, and the priority order in descending order of priority. For example, the data of ID1 is snapshot data related to the abnormality code “100” having the priority “10”. Data of IDs 2 and 3 are also snapshot data related to an abnormal code having a high priority.

  The internal clock 37 transmits the current time. The time is corrected as appropriate based on time information from GPS satellites.

  The output unit 38 outputs snapshot data stored in the snapshot storage unit 36 via the vehicle body network 5 and each controller 4 based on a command from the management terminal 16.

  As a characteristic configuration of the present embodiment, the snapshot storage control unit 35 further includes an abnormal code specifying function unit 35b, a specific area setting function unit 35c, and a specific period setting function unit 35d.

  The abnormal code specifying function unit 35b specifies an abnormal code from a plurality of abnormal codes based on a command from the management terminal 16. When the abnormal code specifying function unit 35b is activated, the snapshot storage control unit 35 stores only the snapshot data relating to the specific abnormal code in the snapshot storage unit 36.

  The specific area setting function unit 35 c specifies an area based on a command from the management terminal 16 and stores the specific area in the setting information storage unit 34. The specific period setting function unit 35 d specifies a period based on a command from the management terminal 16 and stores the specific period in the setting information storage unit 34.

  Based on the position information from the GPS satellite, when the current position is the specific area and the time of the internal clock 37 is within the specific period, the abnormal code specifying function unit 35b operates.

  FIG. 5 is a control processing flowchart of the snapshot storage control unit 35. The snapshot storage control unit 35 first determines whether or not there is an abnormal code specifying command from the management terminal 16 (S1). If there is no abnormal code identification command from the management terminal 16, normal processing is performed (S2).

  In S1, when there is an abnormal code specifying command from the management terminal 16, it is determined whether the current position is in a specific area (S3) and whether the time of the internal clock 37 is within a specific period (S3). S4). If the current position is not a specific area or the time of the internal clock 37 is not within a specific period, normal processing is performed (S2).

  In S3 and S4, when the current position is the specific area and the time of the internal clock 37 is within the specific period, only the snapshot data related to the specific abnormality code related to the specific abnormality code is stored in the snapshot storage unit 36. (S5).

~ Operation 1
An example of operation | movement of the abnormality diagnosis system which concerns on this embodiment is shown.

  In general, overheating is likely to occur when the outside air temperature is high during the summer. In particular, this tendency is stronger in areas closer to the equator. Therefore, various measures are taken. On the other hand, it is not expected that overheating will occur in the winter or at night because the outside air temperature is low.

  Here, it is assumed that the manager has received a report that overheating frequently occurs in an area despite the winter night. As mentioned above, it is not expected that overheating will occur at night in winter, and managers need to collect as much data as possible regarding overheating (specific anomalies) during winter night in order to quickly investigate the cause of the abnormality. There is.

  The administrator specifies the abnormal code “100” (overheat) and sets the specific area and specific period via the management terminal 16 (see FIG. 6).

  The snapshot storage control unit 35 stores the specific area and the specific period in the setting information storage unit 34 and specifies the abnormal code “100”.

  If overheating occurs during operation of the work machine in the specific area and in the specific period, the snapshot storage control unit 35 stores only the snapshot data related to the abnormal code “100” in the snapshot storage unit 36 (S1 → S3 → S4 → S5). At this time, even when an abnormality other than overheating occurs, snapshot data related to the abnormality is not stored.

  FIG. 7 is an example of snapshot data stored in the snapshot storage unit 36 during this operation. In the snapshot storage unit 36, only data related to the abnormality code “100” is stored in time series together with the abnormality occurrence time and priority (not important in this operation). When new overheating occurs, the latest snapshot data is overwritten. The data of IDs 1 to 3 are all snapshot data related to the abnormal code “100”.

  The administrator downloads data of IDs 1 to 3 via the management terminal 16 and analyzes this data to find out the cause of the abnormality related to overheating during the winter night.

  Note that the snapshot storage control unit 35 performs normal processing during daytime work or when it is carried out of the area (S1 → S3 → S2 or S1 → S3 → S4 → S2).

  When the administrator investigates the cause of the abnormality related to overheating at night in winter, the administrator cancels the specification of the abnormality code “100” (overheating) via the management terminal 16. The snapshot storage control unit 35 performs normal processing (S1 → S2).

~ Operation 2
Another example of operation | movement of the abnormality diagnosis system which concerns on this embodiment is shown.

  In Japan (Japan), the types of fuel for work machines are restricted by regulations. That is, poor quality fuel such as impurities is not used, and it is difficult to assume an abnormality caused by the quality of the fuel. On the other hand, depending on the area, there is an area where fuel of inferior quality is used because there are no regulations regarding fuel or it is difficult to obtain high quality fuel.

  Here, it is assumed that the manager receives a report that an abnormality related to the fuel system (for example, a decrease in common rail pressure) frequently occurs in a certain area. Although it is obvious that there is a problem with the fuel used, the rules of thumb in Japan cannot be applied, and the administrator should investigate the data related to the drop in common rail pressure (specific abnormality) as much as possible in order to quickly investigate the cause of the abnormality. It is necessary to collect a lot.

  The administrator specifies the abnormal code “600” (common rail pressure drop) and sets a specific area via the management terminal 16 (see FIG. 8).

  The snapshot storage control unit 35 stores the specific area in the setting information storage unit 34 and specifies the abnormal code “600”. If no period is specified, it is assumed that a full year period has been set.

  When the common rail pressure drop occurs during operation of the work machine in the specific area, the snapshot storage control unit 35 stores only the snapshot data related to the abnormal code “600” in the snapshot storage unit 36 (S1 → S3 → S4 → S5). At this time, even when an abnormality other than a decrease in common rail pressure occurs, snapshot data related to the abnormality is not stored.

  FIG. 9 is an example of snapshot data stored in the snapshot storage unit 36 during this operation. In the snapshot storage unit 36, only the data related to the abnormality code “600” is stored in time series together with the abnormality occurrence time and priority (not important in this operation). When a new common rail pressure drop occurs, the latest snapshot data is overwritten. The data of IDs 1 to 3 are all snapshot data related to the abnormal code “600”.

  The administrator downloads data of IDs 1 to 3 via the management terminal 16, analyzes this data, and investigates the cause of the abnormality related to the common rail pressure drop.

  Note that when the storage unit 35 is carried out of the area, the snapshot storage control unit 35 performs normal processing (S1 → S3 → S4 → S2).

  When the administrator investigates the cause of the abnormality related to the decrease in the common rail pressure, the administrator cancels the specification of the abnormality code “600” (overheat) via the management terminal 16. The snapshot storage control unit 35 performs normal processing (S1 → S2).

~effect~
By comparing the snapshot data stored in the snapshot storage unit 36 during normal operation (FIG. 4) and the snapshot data stored in the snapshot storage unit 36 during operation 1 (FIG. 7), which corresponds to the prior art. The effect of this embodiment will be described.

  In FIG. 4, the data of ID1 is snapshot data related to the abnormal code “100”, but the data of ID2 and ID3 is snapshot data other than the abnormal code “100” (that is, one data). In normal times, data of IDs 2 and 3 are also useful. However, in order to investigate the cause of unexpected overheating, it is necessary to collect as much data as possible concerning the abnormal code “100” (overheating), and other data is useless data. Unnecessary data acquisition delays the investigation of the cause of the abnormality.

  In FIG. 7, the data of IDs 1 to 3 are all snapshot data related to the abnormal code “100” (that is, three data). As described above, the abnormality diagnosis system of the present embodiment can reliably acquire a large number of snapshot data related to the abnormality code “100”. As a result, the administrator can quickly investigate the cause of the unexpected overheating abnormality.

  On the other hand, in FIG. 3, by changing the priority of the abnormal code “600” (common rail pressure drop) to “10” (the highest order), the data of ID1 in the normal state (corresponding to the prior art) is the abnormal code “600. Snapshot data related to “(ie, one piece of data). However, the data of IDs 2 and 3 are snapshot data other than the abnormal code “600”.

  On the other hand, the snapshot data (FIG. 9) stored in the snapshot storage unit 36 at the time of the operation 2 is all the snapshot data related to the abnormal code “600” in all the data of ID 1 to 3 (that is, data 3 Cases). As described above, the abnormality diagnosis system of the present embodiment can reliably acquire a large number of snapshot data related to the abnormality code “600”. As a result, the administrator can quickly find out the cause of the abnormal common rail pressure drop that is not experienced.

~ Modification ~
The present invention is not limited to this embodiment, and various modifications can be made within the scope of the invention.

  (1) In this embodiment, the administrator specifies an abnormal code via the management terminal 16 installed outside the work machine, and the abnormal code specifying function unit 35b is based on a command from the external management terminal 16. Although the abnormal code is specified, the control system of the work machine may be directly operated. The work machine is equipped with a monitor device (not shown) that also functions as an interface. The administrator specifies an abnormal code via the monitor device, and the abnormal code specifying function unit 35b specifies the abnormal code based on a command from the monitor device. In addition, the operator of the work machine that has been contacted by the administrator may specify the abnormality code via the monitor device.

  (2) In the present embodiment, the abnormal code is specified and the specific area and the specific period are set. However, the setting of the specific area and the specific period is arbitrary.

  (3) In this embodiment, the abnormal code specifying function unit 35b specifies the abnormal code “100” (overheat) in the operation 1, and specifies the abnormal code “600” (common rail pressure drop) in the operation 2. Two or more abnormal codes may be specified at the same time.

DESCRIPTION OF SYMBOLS 1 Engine controller 2 Body controller 3 Information controller 4 Communication controller 5 Body network 11, 13 Various sensors 12, 14 Each apparatus 15 Communication apparatus 16 Management terminal 17 GPS antenna 31 Input part 32 Acquisition operation information storage part 33 Abnormality judgment part 34 Setting Information storage unit 35 Snapshot data storage control unit 36 Snapshot data storage unit 37 Internal clock 38 Output unit

Claims (5)

Operation information detecting means for detecting a plurality of operation information of the work machine;
Based on this operation information, an abnormality determination means for determining a machine abnormality for each of a plurality of predetermined abnormality codes,
Snapshot data storage means for storing at least one operation information corresponding to the abnormality code as snapshot data over a predetermined period based on the occurrence of the abnormality;
Snapshot data storage control means for making a determination including whether to store snapshot data in the snapshot data storage means and whether to delete snapshot data stored in the snapshot data storage means;
In a working machine abnormality diagnosis system comprising a communication means for transmitting and receiving information including snapshot data to and from an external management terminal,
The snapshot data storage control means has an abnormal code specifying function unit for specifying an abnormal code from the plurality of abnormal codes, and when this abnormal code specifying function unit is activated, only snapshot data relating to the specific abnormal code is stored. An abnormality diagnosis system for a work machine, characterized by storing In the working machine abnormality diagnosis system according to claim 1,
The abnormality diagnosis system for a working machine, wherein the abnormality code identification function unit identifies an abnormality code based on a command from the external management terminal via the communication unit. In the working machine abnormality diagnosis system according to claim 1,
It further comprises position detection means for detecting the position where the work machine exists,
The snapshot data storage control means has a specific area setting function section for setting a specific area so that the abnormal code identification function section operates when the position detected by the position detection means is within the specific area. An abnormality diagnosis system for work machines characterized by In the working machine abnormality diagnosis system according to claim 1,
A date and time detection means for detecting the date and time;
The snapshot data storage control unit has a specific period setting function unit that sets a specific period so that the abnormal code identification function unit operates when the date and time detected by the date and time detection unit is within a specific period. An abnormality diagnosis system for work machines characterized by In the working machine abnormality diagnosis system according to claim 1,
The abnormality code identifying function unit is capable of identifying two or more abnormality codes.

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