JP2021035031A - Trouble information processing device - Google Patents

Abstract

To provide an error information processing device, capable of easily making a prediction of trouble occurrence in the future.SOLUTION: In a working farm field specification system 1, a management server 4 (a trouble information processing device) comprises: a first trouble information storage part 56 that stores trouble information in regard to each of a plurality of tractors 2A (a work vehicle) that is trouble information including error information expressing an error occurred in each tractor 2A, period and position information expressing a period and a position where the error occurs, and type information on each tractor 2A; a second trouble information storage part 57 that stores information in regard to a trouble of each tractor 2A dealt by a service man at a service point where a service terminal 3 is installed; and an analysis part 45 that analyzes the stored trouble information. The analysis part is configured so as to classify the trouble information into at least each type and each kind of the errors, and each region.SELECTED DRAWING: Figure 2

Description

The present invention relates to a trouble information processing device.

Patent Document 1 discloses a communication system for working machines. In the communication system of the working machine described in Patent Document 1, when a trouble occurs in the working machine (tractor), a communication identifier indicating that the trouble has occurred is transmitted from the working machine to the mobile terminal. When the mobile terminal receives the communication identifier indicating that the trouble has occurred, the mobile terminal transmits the trouble occurrence information indicating that the trouble has occurred in the work machine to the server. When the server receives the trouble occurrence information from the mobile terminal, the server displays the trouble occurrence information on the display unit of the computer connected to the server. For example, the server displays a trouble occurrence status screen in which the trouble content is displayed on a map showing the trouble occurrence position on the display unit.

Japanese Unexamined Patent Publication No. 2015-192330

In the invention described in Patent Document 1, when a trouble occurs in the work machine, the server is notified of the trouble, and the trouble occurrence information is displayed on the display unit of the computer connected to the server. Can deal with troubles quickly. However, the use of trouble information to predict general trouble is not disclosed.
An object of the present invention is to provide a trouble information processing apparatus that facilitates prediction of the occurrence of future troubles.

One embodiment of the present invention is trouble information regarding each of a plurality of work vehicles, and includes error information indicating an error occurring in the work vehicle, time / position information indicating the time and position where the error occurred, and the said The trouble information storage unit that stores the trouble information including the model information of the work vehicle and the analysis unit that analyzes the trouble information stored in the trouble information storage unit are included, and the analysis unit stores the trouble information. Provided is a trouble information processing apparatus configured to classify at least by model, by error type, and by region.

In this configuration, it is possible to predict what kind of error is likely to occur and what kind of area is likely to occur for each model based on the analysis result of the analysis unit. This makes it easier to predict the occurrence of future troubles.
In one embodiment of the present invention, the analysis unit is configured to classify the trouble information by model, error type, region, and time.

With this configuration, it is possible to predict what kind of error is likely to occur in what area and at what time for each model based on the analysis result of the analysis unit. This makes it easier to predict the occurrence of future troubles.
In one embodiment of the present invention, the analysis unit is configured to classify the trouble information by model, error type, region, and temperature.

With this configuration, it is possible to predict what kind of error is likely to occur in what area and at what temperature for each model based on the analysis result of the analysis unit. This makes it easier to predict the occurrence of future troubles.
In one embodiment of the present invention, the analysis unit is configured to classify the trouble information by model, error type, region, and weather.

In this configuration, it is possible to predict what kind of error is likely to occur in what kind of area and in what kind of weather for each model based on the analysis result of the analysis unit. This makes it easier to predict the occurrence of future troubles.
One embodiment of the present invention further includes a prediction unit that predicts areas where troubles are likely to occur in the future and the content of troubles based on the analysis results of the analysis units.

In one embodiment of the present invention, based on the prediction result of the prediction unit, it may occur for a service terminal installed at a service base having jurisdiction over an area where a trouble is likely to occur in the future. It also includes a notification unit that notifies you of proactive measures against high troubles.
In one embodiment of the present invention, the notification unit is configured to notify an increase in the number of service personnel suitable for dealing with a trouble that is likely to occur as a precautionary measure.

In one embodiment of the present invention, trouble information regarding each of the plurality of work vehicles is acquired from the plurality of work vehicles.
In one embodiment of the present invention, the first embodiment includes error information indicating an error that has occurred in the plurality of work vehicles, time / position information indicating the time and position where the error has occurred, and model information of the work vehicle. The first acquisition unit for acquiring trouble information and the second trouble information regarding the trouble dealt with by the serviceman for the plurality of work vehicles, and the second trouble information including the error information, the error occurrence time and the model. A second acquisition unit that acquires the error, and a trouble information generation unit that generates trouble information about each of the plurality of work vehicles by associating the second trouble information with the position information of the corresponding first trouble information. Including further.

FIG. 1 is a schematic diagram showing a configuration of a trouble information processing system to which the trouble information processing apparatus according to the embodiment of the present invention is applied. FIG. 2 is a block diagram showing an electrical configuration of a traveling machine, a service terminal, and a management server. FIG. 3 is a flowchart for explaining an example of the operation of the analysis unit. FIG. 4 is a flowchart for explaining another example of the operation of the analysis unit. FIG. 5 is a flowchart for explaining still another example of the operation of the analysis unit. FIG. 6 is a flowchart for explaining still another example of the operation of the analysis unit.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
FIG. 1 is a schematic diagram showing a configuration of a trouble information processing system to which the trouble information processing apparatus according to the embodiment of the present invention is applied.
The trouble information processing system 1 includes a plurality of work vehicles 2, a plurality of service terminals 3 installed at a plurality of service bases, and a management server 4 as a trouble information processing device. In FIG. 1, for convenience of explanation, only one work vehicle 2 and one service terminal 3 are shown, but there are actually a plurality of each of the work vehicle 2 and the service terminal 3. The management server 4 is provided in the management center 5. The work vehicle 2 and the service terminal 3 can communicate with the management server 4 via the communication network 6.

In this specification, the work vehicle 2 includes a work vehicle including a traveling machine and a working machine towed by the traveling machine, and a working vehicle in which a traveling unit and a working unit are integrated. The work vehicle 2 illustrated in FIG. 1 includes a traveling machine 2A and a working machine 2B towed by the traveling machine 2A. In the example of FIG. 1, the traveling machine 2A is a tractor. Types of working machine 2B include, for example, planting machines, fertilizer sprayers, pesticide sprayers, roll balers, cultivators, plows, levelers, mowers, sowing machines, harvesters and the like. Examples of the work vehicle in which the traveling unit and the working unit are integrated include a rice transplanter, a combine harvester, and the like.

The traveling machine 2A has a function of positioning the position of the traveling machine 2A (working vehicle 2) by using the positioning satellite 7. The traveling machine 2A transmits the vehicle side information including the model information, the position information, and the operation information to the management server 4. The operation information includes error information (error detection information).
From the service terminal 3, information regarding the trouble of the work vehicle 2 dealt with by the serviceman (second trouble information described later) is transmitted to the management server 4.

The management server 4 receives the vehicle side information transmitted from the traveling machine 2A and stores it in the storage unit. Further, the management server 4 receives the information regarding the trouble transmitted from the service terminal 3 and stores it in the storage unit.
FIG. 2 is a block diagram showing an electrical configuration of the traveling machine 2A, the service terminal 3, and the management server 4.

The traveling machine 2A includes a traveling machine control unit 10. The traveling machine control unit 10 includes a microcomputer provided with a CPU and a memory (volatile memory, non-volatile memory, etc.) 11.
The traveling machine control unit 10 controls the operation of the traveling machine 2A (movements such as forward movement, reverse movement, stop, turning, etc.) and the operation of the working machine 2B. Controllers 21 for controlling each part of the traveling machine 2A are electrically connected to the traveling machine control unit 10. The controllers 21 control the rotation speed of the engine, the vehicle speed controller that controls the vehicle speed of the traveling machine 2A, the steering controller that controls the steering angle of the front wheels of the traveling machine 2A, and the rotation of the PTO axis. Includes PTO axis controller and the like.

A position information calculation unit 22, a communication unit 23, a display unit 24, an operation unit 25, a storage unit 26, and the like are further connected to the traveling machine control unit 10.
A satellite signal receiving antenna 29 is electrically connected to the position information calculation unit 22. The satellite signal receiving antenna 29 receives a signal from the positioning satellite 7 (see FIG. 1) constituting the satellite positioning system. The satellite positioning system is, for example, GNSS (Global Navigation Satellite System). The position information calculation unit 22 calculates the position of the traveling machine 2A (strictly speaking, the satellite signal receiving antenna 29) based on the positioning signal received by the satellite signal receiving antenna 29. Specifically, the position information calculation unit 22 generates positioning information including time information (time information) and position information. The position information includes, for example, latitude information and longitude information.

The communication unit 23 is a communication interface for the traveling machine control unit 10 to communicate with the management server 4 via the communication network 6. The display unit 24 includes, for example, a liquid crystal display. The operation unit 25 is provided with a plurality of levers, switches, and the like.
The storage unit 26 is composed of a storage device such as a non-volatile memory. The storage unit 26 is provided with a position information storage unit 27, an operation information storage unit 28, and the like.

The traveling machine control unit 10 includes an information acquisition processing unit 12. The information acquisition processing unit 12 acquires the position information for each time calculated by the position information calculation unit 22 and stores it in the position information storage unit 27. Further, the information acquisition processing unit 12 acquires the operation information given for each time from the traveling machine control unit 10 and stores it in the operation information storage unit 28. The operation information includes error information (error detection information) in addition to vehicle speed, engine speed, and the like.

The information acquisition processing unit 12 determines the position information for each time stored in the position information storage unit 27, the operation information for each time stored in the operation information storage unit 28, and the model information of the traveling machine 2A at predetermined timings. (For example, when the power key is turned off), the information is transmitted to the management server 4. In the following, "position information, operation information, and model information for each time" transmitted to the management server 4 will be referred to as "vehicle side information". In the following, the error information included in the "vehicle side information", the time / position information indicating the time (time) and position where the error occurred, and the model information of the work vehicle 2 in which the error occurred are described. , The first trouble information.

The service terminal 3 includes a personal computer (PC), a control device (PC main body) 31, a display 32, an operating device 33 such as a mouse and a keyboard, and a communication unit 34. The communication unit 34 is a communication interface for the control device 31 to communicate with the management server 4 via the communication network 6.
Although not shown, the control device 31 includes a CPU, a memory, a hard disk, and the like. In addition to the OS (operating system), programs such as a browser for browsing web pages and other necessary data are stored on the hard disk.

Information on the trouble of the work vehicle 2 (hereinafter referred to as "second trouble information") dealt with by the serviceman of the service base where the service terminal 3 is installed is stored in the hard disk. The second trouble information includes error information (error content, error cause, countermeasure content, etc.), error occurrence time (error occurrence date), model information of the work vehicle 2 in which the error occurred, and the like. The error information included in the second trouble information includes more detailed information than the error information included in the first trouble information. The second trouble information stored in the hard disk is transmitted to the management server 4 at an arbitrary timing.

The management server 4 includes a server control unit 40. A communication unit 51, an operation display unit 52, an operation unit 53, a storage unit 54, and the like are connected to the server control unit 40. The communication unit 51 is a communication interface for the server control unit 40 to communicate with the traveling machine control unit 10 and the service terminal 3 of the work vehicle 2 via the communication network 6. The operation display unit 52 includes, for example, a touch panel display. The operation unit 53 includes, for example, a keyboard, a mouse, and the like. The storage unit 54 is composed of a storage device such as a hard disk and a non-volatile memory.

The storage unit 54 is provided with a vehicle-side information storage unit 55, a first trouble information storage unit 56, a second trouble information storage unit 57, a trouble information storage unit 58 for analysis, and the like.
The vehicle-side information storage unit 55 stores vehicle-side information acquired from the plurality of work vehicles 2. The first trouble information storage unit 56 stores the first trouble information extracted from the vehicle side information. The second trouble information storage unit 57 stores the second trouble information acquired from the service terminal 3. The analysis trouble information storage unit 58 stores analysis trouble information described later.

The server control unit 40 includes a microcomputer provided with a CPU and a memory (ROM, RAM, etc.) 41. The server control unit 40 includes an information acquisition unit 42, a first trouble information extraction unit 43, an analysis trouble information generation unit 44, an analysis unit 45, a prediction unit 46, and a notification unit 47.
When the information acquisition unit 42 receives the vehicle side information from the traveling machine 2A, the information acquisition unit 42 stores the received vehicle side information in the vehicle side information storage unit 55. Further, when the information acquisition unit 42 receives the second trouble information from the service terminal 3, the information acquisition unit 42 stores the received second trouble information in the second trouble information storage unit 57. The information acquisition unit 42 is an example of the "first acquisition unit" and the "second acquisition unit" of the present invention.

The first trouble information extraction unit 43 extracts the first trouble information from the vehicle side information stored in the vehicle side information storage unit 55 and stores it in the first trouble information storage unit 56. As described above, the first trouble information includes error information, time / position information indicating the time and position where the error occurred, and model information of the work vehicle 2 in which the error occurred.
The analysis trouble information generation unit 44 generates analysis trouble information by associating the second trouble information with the position information (error occurrence position information) of the first trouble information corresponding to the second trouble information, and stores the analysis trouble information. Store in part 58. Therefore, the trouble information for analysis is composed of the second trouble information plus the error occurrence position information. In this embodiment, the analysis trouble information corresponds to the "trouble information" of the present invention, and the analysis trouble information storage unit 58 corresponds to the "trouble information storage unit" of the present invention.

Specifically, when the analysis trouble information generation unit 44 uses a certain second trouble information as the attention second trouble information, first, the same model as the model included in the attention second trouble information is included. 1 Extract trouble information. Then, the analysis trouble information generation unit 44 has the error occurrence position information included in the extracted first trouble information, and the error occurrence time is closest to the error occurrence time included in the attention second trouble information. The error occurrence position information is linked to the second trouble information as the error occurrence position of the attention second trouble information.

The analysis unit 45 classifies the trouble information for analysis at least by model, by error type, and by region. Based on the analysis result of the analysis unit, the prediction unit 46 predicts the area where the trouble is likely to occur in the future and the content of the trouble.
Based on the prediction result of the prediction unit, the notification unit 47 responds to the trouble that is likely to occur for the service terminal 3 installed at the service base that controls the area where the trouble is likely to occur in the future. Notify proactive measures. The notification unit 47 may notify, for example, an increase in the number of service personnel suitable for dealing with a trouble that is likely to occur as a proactive measure. The notification unit 47 may notify, for example, the replenishment of parts necessary for dealing with a trouble that is likely to occur as a proactive measure.

FIG. 3 is a flowchart for explaining an example of the operation of the analysis unit 45.
The analysis unit 45 first classifies the analysis trouble information for each model (step S1).
Next, the analysis unit 45 classifies the analysis trouble information classified by the model by the error type (step S2).
Next, the analysis unit 45 classifies the analysis trouble information classified by model and error type by region (step S3). As a result, the trouble information for analysis is classified by model, error type, and region.

Based on the analysis result, the prediction unit 46 predicts what kind of error is likely to occur and what kind of area is likely to occur for each model. Based on the prediction result of the prediction unit, the notification unit 47 responds to the trouble that is likely to occur for the service terminal 3 installed at the service base that controls the area where the trouble is likely to occur in the future. Notify proactive measures.
FIG. 4 is a flowchart for explaining another example of the operation of the analysis unit 45. In FIG. 4, the same steps as those in FIG. 3 are designated by the same step numbers as those in FIG.

The analysis unit 45 first classifies the analysis trouble information for each model (step S1).
Next, the analysis unit 45 classifies the analysis trouble information classified by the model by the error type (step S2).
Next, the analysis unit 45 classifies the analysis trouble information classified by model and error type by region (step S3).

Next, the analysis unit 45 classifies the analysis trouble information classified by model, error type, and region by time (step S4). For example, the analysis unit 45 classifies analysis trouble information classified by model, error type, and region by a period of 10-day intervals according to an error occurrence time. As a result, the trouble information for analysis is classified by model, error type, region, and time.

Based on the analysis result, the prediction unit 46 predicts what kind of error is likely to occur in what area and at what time for each model. Based on the prediction result of the prediction unit, the notification unit 47 responds to the trouble that is likely to occur for the service terminal 3 installed at the service base that controls the area where the trouble is likely to occur in the future. Notify proactive measures.

As shown by a single point chain line in FIG. 2, it is assumed that the storage unit 54 of the management server 4 is provided with a weather / temperature data storage unit 59 that stores past weather data and temperature data for each region. In this case, the analysis unit 45 can specify the weather and temperature corresponding to the error occurrence time based on the weather and temperature stored in the weather and temperature data storage unit 59, so that the error occurrence time can be determined. It is possible to analyze trouble information for analysis using the corresponding weather and temperature.

Hereinafter, an operation example of the analysis unit 45 when the weather / temperature data storage unit 59 is provided in the storage unit 54 of the management server 4 will be described.
FIG. 5 is a flowchart for explaining still another example of the operation of the analysis unit 45. In FIG. 5, the same steps as those in FIG. 3 are designated by the same step numbers as those in FIG.
The analysis unit 45 first classifies the analysis trouble information for each model (step S1).

Next, the analysis unit 45 classifies the analysis trouble information classified by the model by the error type (step S2).
Next, the analysis unit 45 classifies the analysis trouble information classified by model and error type by region (step S3).
Next, the analysis unit 45 classifies the analysis trouble information classified by model, error type, and region by temperature (step S5). For example, the analysis unit 45 classifies analysis trouble information classified by model, error type, and region according to the temperature at the time of error occurrence, for example, by the temperature at intervals of 5 ° C. As a result, the trouble information for analysis is classified by model, error type, region, and temperature.

Based on the analysis result, the prediction unit 46 predicts what kind of error is likely to occur in what kind of area and at what temperature for each model. Based on the prediction result of the prediction unit, the notification unit 47 responds to the trouble that is likely to occur for the service terminal 3 installed at the service base that controls the area where the trouble is likely to occur in the future. Notify proactive measures.

FIG. 6 is a flowchart for explaining still another example of the operation of the analysis unit 45. In FIG. 6, the same steps as those in FIG. 3 are designated by the same step numbers as those in FIG.
The analysis unit 45 first classifies the analysis trouble information for each model (step S1).
Next, the analysis unit 45 classifies the analysis trouble information classified by the model by the error type (step S2).

Next, the analysis unit 45 classifies the analysis trouble information classified by model and error type by region (step S3).
Next, the analysis unit 45 classifies the analysis trouble information classified by model, error type, and region by weather (step S6). For example, the analysis unit 45 classifies analysis trouble information classified by model, error type, and region according to the weather at the time of error occurrence, for example, by weather such as sunny, cloudy, and rain. As a result, the trouble information for analysis is classified by model, error type, region, and weather.

Based on this analysis result, the prediction unit 46 predicts what kind of error is likely to occur in what kind of area and in what kind of weather for each model. Based on the prediction result of the prediction unit, the notification unit 47 responds to the trouble that is likely to occur for the service terminal 3 installed at the service base that controls the area where the trouble is likely to occur in the future. Notify proactive measures.

Although the embodiments of the present invention have been described above, the present invention can also be implemented in other embodiments.
In the above-described embodiment, the analysis trouble information to be analyzed by the analysis unit 45 is based on the first trouble information extracted from the vehicle side information and the second trouble information regarding the trouble of the work vehicle 2 dealt with by the serviceman. Is generated. More specifically, the trouble information for analysis is generated by associating the second trouble information with the position information (error occurrence position information) of the first trouble information corresponding to the second trouble information.

However, the first trouble information extracted from the vehicle side information may be used as it is as the trouble information for analysis. In this case, the first trouble information corresponds to the "trouble information" of the present invention, and the first trouble information storage unit 56 corresponds to the "trouble information storage unit" of the present invention. In this case, the management server 4 does not need to acquire the second trouble information. In other words, the service terminal 3 does not need to transmit the second trouble information to the management server 4. Further, in this case, the analysis trouble information generation unit 44, the second trouble information storage unit 57, and the analysis trouble information storage unit 58 can be omitted.

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

1 Work field identification system 2 Work vehicle 2A Travel machine 2B Work machine 3 Service terminal 4 Management server 6 Communication network 7 Positioning satellite 10 Tractor control unit 11 Memory 12 Information acquisition processing unit 22 Position information calculation unit 23 Communication unit 26 Storage unit 27 Position Information storage unit 28 Operation information storage unit 29 Satellite signal reception antenna 40 Server control unit 41 Memory 42 Information acquisition unit 43 First trouble information extraction unit 44 Analysis trouble information generation unit 45 Analysis unit 46 Prediction unit 47 Notification unit 51 Communication unit 52 Operation display unit 53 Operation unit 54 Storage unit 55 Vehicle side information storage unit 56 First trouble information storage unit 57 Second trouble information storage unit 58 Analysis trouble information storage unit 59 Weather / temperature data storage unit

Claims (9)

Trouble information for each of a plurality of work vehicles, including error information indicating an error that occurred in the work vehicle, time / position information indicating the time and position where the error occurred, and model information of the work vehicle. Trouble information storage unit that stores trouble information and
Including an analysis unit that analyzes the trouble information stored in the trouble information storage unit.
The analysis unit is a trouble information processing device configured to classify the trouble information at least by model, by error type, and by region. The trouble information processing apparatus according to claim 1, wherein the analysis unit is configured to classify the trouble information by model, error type, region, and time. The trouble information processing apparatus according to claim 1, wherein the analysis unit is configured to classify the trouble information by model, error type, region, and temperature. The trouble information processing apparatus according to claim 1, wherein the analysis unit is configured to classify the trouble information by model, error type, region, and weather. The trouble information processing according to any one of claims 1 to 4, further including a prediction unit for predicting the area where trouble is likely to occur in the future and the content of the trouble based on the analysis result of the analysis unit. apparatus. Based on the prediction result of the prediction unit, the service terminal installed at the service base that controls the area where the trouble is likely to occur in the future is notified of the proactive measures for the trouble that is likely to occur. The trouble information processing apparatus according to claim 5, further comprising a notification unit. The trouble information processing device according to claim 6, wherein the notification unit is configured to notify an increase in the number of service personnel suitable for dealing with a trouble that is likely to occur as a precautionary measure. The trouble information processing device according to any one of claims 1 to 7, wherein the trouble information regarding each of the plurality of work vehicles is acquired from the plurality of work vehicles. First acquisition to acquire the first trouble information including the error information indicating the error generated in the plurality of work vehicles, the time / position information indicating the time and position where the error occurred, and the model information of the work vehicle. Department and
The second acquisition unit that acquires the second trouble information including the error information, the error occurrence time, and the model, which is the second trouble information regarding the trouble dealt with by the serviceman for the plurality of work vehicles.
Claims 1 to 7 further include a trouble information generation unit that generates trouble information about each of the plurality of work vehicles by associating the second trouble information with the position information of the first trouble information corresponding to the second trouble information. The trouble information processing device according to any one of the above.

Images