Data collection device and data collection method

By realizing priority decision and management of working data in the data collection device, the problem of overwriting work data in the field with poor communication environment is solved, and the analysis and analysis of important data is ensured.

CN119816877APending Publication Date: 2025-04-11KOMATSU LTD
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Patent Information

Application Number
CN202380063058.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2022-09-29
Filing Date
2023-09-14
Publication Date
2025-04-11

AI Technical Summary

Technical Problem

In a site with poor communication environment, the working data of hydraulic excavators and other working vehicles may be covered due to insufficient storage capacity, resulting in the inability to parse important fault-related data.

Method used

A data collection device is designed, which has parts for obtaining work data, detecting event, prioritization, writing and sending. The device detects abnormal events by comparing the working data with a prescribed threshold, and determines the priority of the data based on the importance of the event. When the storage capacity is insufficient, the data with lower priority is covered first and the data with higher priority is sent to the server first.

Benefits of technology

It effectively prevents important working data from being covered in the field with poor communication environment, ensuring the analysis and analysis of key fault data.

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Abstract

A priority level determination unit (513) determines the priority level of target work data, which is work data related to the event, in accordance with the event. A writing unit (514) stores target work data in a storage unit. When the capacity for recording the work data to be recorded is insufficient, the writing unit (514) overlays the work data having a relatively low priority among the work data stored in the storage unit with the work data to be recorded. A transmission unit (515) transmits, to a management server (900), operation data having a relatively high priority, among the operation data stored in the storage unit, over operation data having a relatively low priority.
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Description

Technical Field

[0001] The present disclosure relates to a data collection device and a data collection method.

[0002] This application claims the benefit of priority based on Tokugan Application No. 2022-156041 filed in Japan on September 29, 2022, the contents of which are incorporated herein by reference. Background Art

[0003] There is known a technique for collecting and recording vehicle operation data in order to detect a sign of a vehicle failure (for example, refer to Patent Document 1).

[0004] Prior art literature

[0005] Patent Literature

[0006] Patent Document 1: Japanese Patent Application Publication No. 2009-096337 Summary of the invention

[0007] Problems to be solved by the invention

[0008] The analysis of working data is sometimes performed in a remote computer connected via a communication network such as the Internet. In this case, the recorded working data is sent to a server device via the communication network. However, working vehicles such as hydraulic excavators sometimes work at work sites with poor communication environments, and there is a situation where the capacity of the storage device for recording working data is insufficient. In this case, if the old working data is overwritten with new working data, there is a concern that working data related to important faults will be overwritten and cannot be analyzed.

[0009] An object of the present disclosure is to provide a data collection device and a data collection method that prevent important operation data from being overwritten without being analyzed in a vehicle located at a site with a poor communication environment.

[0010] Means for solving problems

[0011] According to one embodiment of the present invention, a data collection device is a data collection device mounted on a vehicle, comprising: a working data acquisition unit for acquiring working data of the vehicle; an event detection unit for comparing the working data with a specified threshold value to detect an event related to an abnormality; a priority determination unit for determining, based on the event, the priority of an object working data as the working data involved in the event; a writing unit, which is a writing unit for storing the object working data in a storage unit, and when the capacity for recording the object working data is insufficient, the writing unit overwrites the relatively low-priority working data in the working data stored in the storage unit with the object working data; and a sending unit, which is a sending unit for sending the working data recorded in the storage unit to a server device, and the sending unit sends the relatively high-priority working data in the working data stored in the storage unit to the server device in priority to the relatively low-priority working data.

[0012] Effects of the Invention

[0013] According to the above aspect, the data collection device can prevent important operation data from being overwritten without being analyzed in a vehicle located at a site with a poor communication environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram showing the structure of the working machine according to the first embodiment.

[0015] Figure 2 It is a schematic diagram showing the configuration of an engine system according to the first embodiment.

[0016] Figure 3 It is a block diagram showing the structure of the data collection device.

[0017] Figure 4 It is a diagram showing an example of a condition table according to the first embodiment.

[0018] Figure 5 This is a flowchart showing the method for collecting operation data according to the first embodiment. DETAILED DESCRIPTION

[0019] <First Embodiment>

[0020] Hereinafter, the embodiments will be described in detail with reference to the drawings.

[0021] 《Structure of Working Machine 100》

[0022] Figure 1 It is a schematic diagram showing the structure of the working machine 100 according to the first embodiment.

[0023] The working machine 100 works at a construction site. Examples of the working machine 100 include a hydraulic excavator, a wheel loader, and a bulldozer. The working machine 100 may be electrically driven or hydraulically driven. The working machine 100 includes a traveling body 110, a body 120, a working machine 130, an engine system 140, and a data collection device 150.

[0024] The traveling body 110 supports the working machine 100 so that it can travel. Figure 1 In the example shown, the traveling body 110 is a continuous track, but the traveling body 110 may also be a wheel. The vehicle body 120 is supported by the traveling body 110. The vehicle body 120 may also be arranged to be rotatable around a rotation center relative to the traveling body 110. The working machine 130 is supported at the front of the vehicle body 120 so as to be drivable in the up-down direction.

[0025] <<Structure of Engine System 140>>

[0026] Figure 2 It is a schematic diagram showing the configuration of an engine system 140 according to the first embodiment.

[0027] The vehicle body 120 is provided with an engine system 140 as a power source for the traveling body 110 and the working machine 130. The engine system 140 includes an engine 141, a turbocharger 142, an exhaust gas purification device 143, and an engine control device 144.

[0028] The engine 141 is a structural example of an internal combustion engine, and is a multi-cylinder diesel engine in the present embodiment. The turbocharger 142 is a supercharger that compresses intake air of the engine 141 using exhaust gas of the engine 141 .

[0029] The turbocharger 142 includes a compressor 421 that compresses the sucked air and supplies it to the engine 141, and a turbine 422 that rotates by the exhaust gas of the engine 141. The compressor 421 and the turbine 422 are connected to a rotor 423 provided on the same rotating shaft and rotate in conjunction with each other. The turbocharger 142 includes a compressor inlet sensor 421I that measures the pressure and temperature of the inlet of the compressor 421, a compressor outlet sensor 421O that measures the pressure of the outlet of the compressor 421, a turbine inlet sensor 422I that measures the pressure and temperature of the inlet of the turbine 422, and a turbine outlet sensor 422O that measures the pressure of the outlet of the turbine 422. In addition, in other embodiments, at least any one of the pressure of the inlet of the compressor 421, the temperature of the inlet of the compressor 421, the pressure of the inlet of the turbine 422, and the pressure and temperature of the inlet of the turbine 422 may be obtained by calculation based on measurement data of other sensors, internal data, etc.

[0030] The exhaust gas purification device 143 purifies nitrogen oxides (NOx) contained in the exhaust gas of the engine 141. The exhaust gas is purified by the exhaust gas purification device 143 and then discharged into the atmosphere.

[0031] The exhaust gas purification device 143 includes an SCR (Selective Catalytic Reduction; selective reduction catalyst) 433 .

[0032] SCR 433 injects urea water into the exhaust gas to convert nitrogen oxides (NOx) into nitrogen molecules (N2) and water (H2O). SCR 433 includes an injector 4331 for supplying urea water, an upstream NOx sensor 4332 for measuring the NOx concentration in the exhaust gas upstream of SCR 433, and a downstream NOx sensor 4333 for measuring the NOx concentration in the exhaust gas downstream of SCR 433.

[0033] In addition to the SCR, the exhaust purification device 143 may also include a DOC (Diesel Oxidation Catalyst) and a DPF (Diesel Particulate Filter). The DOC oxidizes carbon monoxide in the exhaust gas and converts it into carbon dioxide, oxidizes nitrogen monoxide and converts it into nitrogen dioxide, and oxidizes hydrocarbons and converts them into water and carbon dioxide. The DPF collects particulate matter (PM (Particulate Matter)) contained in the exhaust gas, and removes the PM by oxidizing the PM collected downstream with the nitrogen dioxide converted by the DOC and converting it into carbon dioxide.

[0034] The engine control device 144 repeatedly inputs measurement data output from multiple sensors including a compressor inlet sensor 421I, a compressor outlet sensor 421O, a turbine inlet sensor 422I, a turbine outlet sensor 422O, an upstream NOx sensor 4332 and a downstream NOx sensor 4333 at a prescribed period, and performs fuel injection control of the engine 141, etc.

[0035] An atmospheric pressure sensor 441 and an atmospheric temperature sensor 442 are provided in the engine control device 144. The working machine 100 is sometimes used in harsh environments such as mountainous areas. On the other hand, in a low-pressure environment, over-rotation may occur due to a decrease in the back pressure of the turbocharger 142. Therefore, the engine system 140 is set with a range of temperature and altitude that can be used without practical problems as specifications. The atmospheric pressure sensor 441 and the atmospheric temperature sensor 442 are provided to monitor the use environment of the engine system 140. The engine control device 144 outputs the measurement data of various sensors to the data collection device 150.

[0036] Data Collection Device 150

[0037] The data collection device 150 collects sensor measurement data from a plurality of control devices of the working machine 100 including the engine control device 144, and records the data in an internal storage. The measurement data collected by the data collection device 150 is also referred to as working data hereinafter. The working data indicates the working state of the working machine 100. The data collection device 150 is connected to a remote management server 900 via a network based on mobile communication, satellite communication, etc. The management server 900 analyzes the working data collected from each working machine 100, and diagnoses the presence or absence of a fault of the working machine 100 and the sign of the fault.

[0038] The working machine 100 is sometimes placed at a working site with a poor communication environment. Therefore, there is a possibility that the storage capacity is insufficient before sending to the management server 900. Therefore, the data collection device 150 involved in the first embodiment analyzes the working data collected from the control device, determines the priority of the working data, and reduces the possibility that the working data with a high priority is overwritten. In addition, the data collection device 150 sends the working data with a high priority to the server 200 in priority to the working data with a low priority.

[0039] Figure 3 is a block diagram showing the structure of the data collection device 150 .

[0040] The data collection device 150 is a computer including a processor 151 , a main memory 153 , a storage 155 , and an interface 157 .

[0041] The processor 151 reads a program from the storage 155 or the like and loads it into the main memory 153, and executes the above-mentioned processing according to the program. In addition, the processor 151 ensures a storage area corresponding to each of the above-mentioned storage units in the main memory 153 according to the program. Examples of the processor 151 include a CPU (Central Processing Unit), a GPU (Graphic Processing Unit), a microprocessor, and the like.

[0042] The program can also be used to implement a part of the functions performed by the data collection device 150. For example, the program can also perform functions by combining with other programs already stored in the storage device, or by combining with other programs installed in other devices. In addition, in other embodiments, in addition to the above structure, or instead of the above structure, the data collection device 150 can also have a customized LSI (Large Scale Integrated Circuit) such as PLD (Programmable Logic Device). PAL (Programmable Array Logic), GAL (Generic Array Logic), CPLD (Complex Programmable Logic Device), FPGA (Field Programmable Gate Array) can be cited as examples of PLD. In this case, part or all of the functions implemented by the processor 151 can be implemented by the integrated circuit. Such an integrated circuit is also included in an example of a processor.

[0043] Examples of the storage 155 include a magnetic disk, a magneto-optical disk, an optical disk, and a semiconductor memory. The storage 155 may be an internal medium directly connected to the bus of the data collection device 150, or an external medium connected to the data collection device 150 via an interface 157 or a communication line. In addition, when the program is distributed to the data collection device 150 via a communication line, the data collection device 150 that receives the distribution may also load the program into the main memory 153 and execute the above-mentioned processing. In at least one embodiment, the storage 155 is a non-transitory tangible storage medium.

[0044] In addition, the program may be used to implement a part of the aforementioned functions. Furthermore, the program may be a so-called difference file (difference program) and implement the aforementioned functions by combining with other programs already stored in the storage 155 .

[0045] The processor 151 functions as a data acquisition unit 511, an event detection unit 512, a priority determination unit 513, a writing unit 514, and a sending unit 515 by executing a program. In the storage 155, a dedicated storage area 551 for storing work data and a normal storage area 552 are ensured. The dedicated storage area 551 is designed to have a capacity that is sufficiently large compared to the amount of work data accumulated at the communication frequency assumed in the harsh communication environment where the working machine 100 is placed. In the main memory 153, a table storage area 531 for storing a condition table indicating the relationship between work data and events, a buffer area 532 for temporarily storing work data, and a counter storage area 533 for storing the number of occurrences of each event type are ensured. In the buffer area 532, all work data in the recent certain period is stored.

[0046] The table storage area 531 stores a condition table in which event identification codes, event importance, and determination conditions are associated with each other. Figure 4 : is a diagram showing an example of a condition table involved in the first embodiment. The event identification code is an identifier indicating the type of event related to the fault. Examples of events include a slight reduction in the purification efficiency of SCR 433, a significant reduction in the purification efficiency of SCR 433, a reduction in the efficiency of the turbocharger 142, and use outside the specification range. The importance of an event is represented by an integer. The importance of an event is represented by a stage from 1 to 4, for example. The higher the importance of an event, the higher the possibility of a fault in the operating machine 100. The judgment condition represents the relationship between the evaluation value and the threshold value used to judge the occurrence of the associated event. The evaluation value can be either the work data itself or a value calculated based on one or more work data.

[0047] right Figure 4 The evaluation values ​​involved in the judgment conditions shown will be described.

[0048] Purification Efficiency as an Evaluation Value The purification efficiency as an evaluation value can be obtained by the ratio of the operation data of the downstream NOx sensor 4333 and the operation data of the upstream NOx sensor 4332 .

[0049] The atmospheric temperature as the evaluation value is the operation data of the atmospheric temperature sensor 442. The altitude as the evaluation value is converted from the operation data of the atmospheric pressure sensor 441.

[0050] The turbine overall efficiency as an evaluation value can be obtained by the following formula (1).

[0051] [Mathematical formula 1]

[0052]

[0053] η represents the overall efficiency of the turbine as an evaluation value. Pa represents the constant-pressure specific heat ratio of air as a constant. Pg Indicates the constant pressure specific heat ratio of the combustion gas as a constant. A / F indicates the air-fuel ratio. The air-fuel ratio is calculated by the ratio of the amount of air (oxygen) in the cylinder to the injected fuel calculated based on the pressure, temperature, EGR rate, etc. of the intake manifold. c is the compressor pressure ratio, which is obtained by the ratio of the pressure measurement data based on the compressor outlet sensor 421O and the pressure measurement data based on the compressor inlet sensor 421I. r T is the turbine expansion ratio, which is obtained by the ratio of the pressure measurement data based on the turbine inlet sensor 422I to the pressure measurement data based on the turbine outlet sensor 422O. T1 is the measurement data based on the temperature of the turbine inlet sensor 422I. C1 It is measurement data based on the temperature of the compressor inlet sensor 421I.

[0054] The data acquisition unit 511 acquires operation data from various control devices including the engine control device 144 .

[0055] The event detection unit 512 determines whether an event has occurred based on the data acquired by the data acquisition unit 511 and the determination conditions stored in the table storage area 531. When the occurrence of an event is detected, the event detection unit 512 specifies the importance and the number of occurrences of the event.

[0056] The priority determination unit 513 determines the priority of the object work data, which is the work data involved in the detection of the event detected by the event detection unit 512, based on the importance and the number of occurrences of the event. The priority determination unit 513 determines the priority of the work data involved in the event with an importance of 3 or more as "high priority". The priority determination unit 513 determines the priority of the work data involved in the event with a number of occurrences of 1 as "high priority". The priority determination unit 513 determines the priority of the work data involved in the event with an importance of 2 or less and a number of occurrences of 2 or more as "low priority". In addition, the priority determination method involved in other embodiments is not limited to the above.

[0057] The target operation data is operation data before and after a certain period of time from the timing when the event detection unit 512 detects the occurrence of an event. In addition, the operation data before a certain period of time from the timing when the occurrence of an event is detected is stored in the buffer area 532 of the main memory 153.

[0058] The writing unit 514 records the target work data in the storage 155. When the priority determined by the priority determination unit 513 is "high priority", the writing unit 514 records the target work data in the dedicated storage area 551 of the storage 155. When the priority determined by the priority determination unit 513 is "low priority", the writing unit 514 records the target work data in the normal storage area 552 of the storage 155. In addition, when the capacity of the normal storage area 552 is insufficient when storing new target work data, the writing unit 514 overwrites the oldest work data with the new target work data. Since the capacity of the dedicated storage area 551 is fully ensured as described above, the possibility of insufficient capacity is low, but if the capacity is insufficient, the writing unit 514 overwrites the oldest work data with the new target work data. In addition, in other embodiments, when the capacity of the dedicated storage area 551 is insufficient, the new target work data may not be recorded, or the work data related to the event with the lowest importance may be overwritten with the new target work data.

[0059] The sending unit 515 attempts to send work data to the management server 900 at a specified sending cycle. The work data sent by the sending unit 515 can be deleted by the writing unit 514, or a sending completion flag can be attached to indicate that it can be deleted. In the case where "high priority" work data is recorded in the dedicated storage area 551, the sending unit 515 may also try to send the work data without waiting for the above-mentioned sending cycle. The sending of work data recorded in the dedicated storage area 551 takes precedence over the sending of work data stored in the normal storage area 552. That is, after the sending unit 515 has finished sending all the work data recorded in the dedicated storage area 551, it starts sending the work data stored in the normal storage area 552.

[0060] 《Methods for collecting work data》

[0061] Figure 5 This is a flowchart showing the method for collecting operation data according to the first embodiment.

[0062] First, the data acquisition unit 511 acquires the working data from the control device (step S1). The event detection unit 512 refers to the judgment conditions of the condition table stored in the table storage area 531, and obtains the evaluation value used in the detection of the event from the working data (step S2). Based on the evaluation value obtained in step S2, the event detection unit 512 determines whether an event has occurred for each event shown in the condition table (step S3). When an event is detected by the event detection unit 512 (step S3: yes (YES)), the event detection unit 512 determines the event identification code of the detected event and the importance of the event (step S4). In addition, the event detection unit 512 updates the number of occurrences, which is stored in the counter storage area 533 in association with the event identification code determined in step S4 (step S5).

[0063] The priority determination unit 513 determines the priority of the target work data related to the event based on the determined event importance and occurrence frequency (step S6). The writing unit 514 reads the type of work data used in event detection from the buffer area as the target work data (step S7).

[0064] The writing unit 514 determines whether the priority of the object work data is high (step S8). If the priority is high (step S8: yes (YES)), the writing unit 514 writes the object work data to the dedicated storage area 551 (step S9). The sending unit 515 attempts to communicate with the management server 900 and determines whether the communication is possible (step S10). If the communication with the management server 900 is successful (step S10: yes (YES)), the sending unit 515 sends the object work data recorded in the dedicated storage area 551 to the management server 900 (step S11). Thereafter, the sending unit 515 sends the object work data recorded in the normal storage area 552 to the management server 900 (step S12).

[0065] On the other hand, when the priority is low (step S8 : NO), the writing unit 514 writes the target work data into the normal storage area 552 (step S13 ).

[0066] When the event detection unit 512 does not detect an event in step S3 (step S3 : NO), the operation data is not recorded in the memory 155 .

[0067] When the event detection unit 512 does not detect an event, or when the target work data is written to the normal storage area 552 in step S13, the sending unit 515 determines whether it is a predetermined sending timing (step S14). For example, the timing when the working machine 100 becomes key-off, a predetermined time, etc. can be cited as the sending timing. In the case of the sending timing (step S14: Yes (YES)), the sending unit 515 performs the processing of step S10 and attempts to send the unsent data. On the other hand, in the case of not sending timing (step S14: No (NO)), the sending unit 515 does not attempt to send the data and sets it to a state of saving the data.

[0068] 《Function and Effect》

[0069] As described above, the data collection device 150 according to the first embodiment includes a data acquisition unit 511, an event detection unit 512, a priority determination unit 513, a writing unit 514, and a sending unit 515. The data acquisition unit 511 acquires the working data of the working machine 100. The event detection unit 512 compares the working data with a predetermined threshold value and detects an event related to an abnormality. The priority determination unit 513 determines the priority of the target working data, which is the working data related to the event, based on the event. The writing unit 514 stores the target working data in the storage 155. When the capacity for recording the target working data is insufficient, the writing unit 514 overwrites the working data with a relatively low priority among the working data stored in the storage 155 with the target working data. The sending unit 515 sends the working data recorded in the storage 155 to the management server 900. The sending unit 515 sends the working data with a relatively high priority among the working data stored in the storage 155 to the management server 900 in priority to the working data with a relatively low priority. Thus, the data collection device 150 according to the first embodiment can prevent important work data from being overwritten without being analyzed by the management server 900 in the working machine 100 located at a site with a poor communication environment.

[0070] Furthermore, the writing unit 514 according to the first embodiment allows the transmitted working data to be deleted or overwritten, thereby reducing the risk of overwriting the untransmitted working data.

[0071] In addition, the event detection unit 512 involved in the first embodiment determines the category of the detected event, and determines the importance and number of occurrences of the event involved in the category. In addition, the priority determination unit 513 determines the priority based on the importance and the number of occurrences. Specifically, the priority determination unit 513 determines the priority of the work data involved in the events with an importance of 3 or more, and the work data involved in the event with the first occurrence as "high priority". Thereby, it is possible to prevent the work data involved in important events from being overwritten, and even for events with low importance, it is possible to prevent the data from being overwritten when it occurs for the first time. In addition, in other embodiments, it may be that the event detection unit 512 determines the importance or number of occurrences of the event, and the priority determination unit 513 determines the priority based on the importance or the number of occurrences.

[0072] The target work data according to the first embodiment is work data before and after the event occurs, so that the management server 900 can analyze the state of the working machine 100 and the work environment before and after the event occurs.

[0073] In addition, the storage 155 involved in the first embodiment has a dedicated storage area 551 as a first storage area and a normal storage area 552 as a second storage area. The priority determination unit 513 determines the priority of the object work data to be one of "high priority" and "low priority". The writing unit 514 writes the work data related to "high priority" into the dedicated storage area 551, and writes the work data related to "low priority" into the normal storage area 552. In addition, when the capacity of recording the object work data in the normal storage area 552 is insufficient, the writing unit 514 overwrites the past work data stored in the normal storage area 552 with the object work data. Thereby, the data collection device 150 can prevent the high-priority work data recorded in the dedicated storage area 551 from being overwritten.

[0074] <Other Implementation Methods>

[0075] In the above, one embodiment is described in detail with reference to the accompanying drawings, but the specific structure is not limited to the above, and various design changes can be made. That is, in other embodiments, the order of the above-mentioned processing can also be appropriately changed. In addition, part of the processing can also be executed in parallel.

[0076] The data collection device 150 involved in the above-mentioned embodiment may be constituted by a single computer, or the structure of the data collection device 150 may be distributed to a plurality of computers, and the plurality of computers may cooperate with each other to function as the data collection device 150. For example, a control device such as the engine control device 144 may also have a part of the functions of the data collection device 150 (for example, the event detection unit 512, the priority determination unit 513, etc.).

[0077] In this case, a part of the computers constituting the data collection device 150 may be mounted inside the working machine 100 , and the other computers may be provided outside the working machine 100 .

[0078] The data collection device 150 involved in the above-mentioned embodiment divides the storage area of ​​the storage 155 according to the priority and stores the working data, but is not limited to this. For example, the data collection device 150 involved in other embodiments may also be configured not to divide the storage area, store the priority and the working data as metadata in association, and delete the working data associated with "low priority" when the capacity is insufficient.

[0079] Description of Reference Numerals

[0080] 100 working machine; 110 traveling body; 120 vehicle body; 130 working machine; 140 engine system; 141 engine; 142 turbocharger; 143 exhaust purification device; 144 engine control device; 150 data collection device; 151 processor; 153 main memory; 155 storage; 157 interface; 421 compressor; 421I compressor inlet sensor; 421O compressor outlet sensor; 422 turbine; 422I turbine inlet sensor; 422O turbine outlet sensor; 42 3 rotor; 431 DOC; 432 DPF; 433 SCR; 4331 injector; 4332 upstream NOx sensor; 4333 downstream NOx sensor; 441 atmospheric pressure sensor; 442 atmospheric temperature sensor; 511 data acquisition unit; 512 event detection unit; 513 priority determination unit; 514 writing unit; 515 sending unit; 531 table storage area; 551 dedicated storage area; 552 normal storage area; 900 management server; 532 buffer area; 533 counter storage area.

Claims

1. A data collection device, which is a data collection device mounted on a vehicle, comprising: A data acquisition unit, which acquires the operation data of the vehicle; an event detection unit, comparing the operation data with a predetermined threshold value, and detecting an event related to an abnormality; a priority determination unit that determines, based on the event, a priority of target work data that is the work data involved in the event; a writing unit that stores the target work data in a storage unit, and in a case where a capacity for recording the target work data is insufficient, the writing unit overwrites the work data with the target work data, among the work data stored in the storage unit, the work data with a relatively low priority; as well as A sending unit is a sending unit that sends the work data recorded in the storage unit to a server device, and the sending unit sends the work data with relatively higher priority among the work data stored in the storage unit to the server device in priority to the work data with relatively lower priority.

2. The data collection device according to claim 1, wherein: The writing unit allows deletion or overwriting of the transmitted work data.

3. The data collection device according to claim 1 or claim 2, wherein: The event detection unit determines a category of the detected event and determines at least one of the importance and the number of occurrences of the event involved in the category, The priority determination unit determines the priority based on at least one of the importance and the number of occurrences.

4. The data collection device according to claim 1 or claim 2, wherein: The target operation data is operation data related to before and after the occurrence timing of the event.

5. The data collection device according to claim 1 or claim 2, wherein: The storage unit has a first storage area and a second storage area. The priority determination unit determines the priority of the target work data as either a high priority or a low priority, The writing unit writes the work data related to the high priority into the first storage area, and writes the work data related to the low priority into the second storage area, When the capacity of the second storage area for recording the target work data is insufficient, the writing unit overwrites the past work data stored in the second storage area with the target work data.

6. A data collection method comprising: Steps for obtaining vehicle operating data; a step of comparing the operating data with a specified threshold value to detect an event associated with an anomaly; A step of determining, based on the event, a priority level of target work data as the work data involved in the event; A step of storing the object work data in a storage unit; When the storage unit has insufficient capacity to record the target work data, overwriting the work data with a relatively low priority among the work data stored in the storage unit with the target work data; as well as The step of transmitting the work data recorded in the storage unit to a server device, wherein the work data with a relatively high priority among the work data stored in the storage unit is transmitted to the server device in preference to the work data with a relatively low priority.

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