Work management methods, work management systems, and work management programs

Abstract

This allows for a simple determination of the severity of the working environment for tasks performed using work equipment. [Solution] The work management method includes determining an evaluation value that represents the ratio of the speed of the target work device 30 performing work in the field 500 to the engine load. The work management method also includes determining the position of the evaluation value as an environmental index representing the severity of the working environment for the target work device 30, relative to an overall distribution representing the distribution of the ratio of the speed to the engine load for multiple work devices 30 having the same type as the target work device 30. Determining the evaluation value may also include determining the ratio of the speed statistics, which represent the statistical value of the speed of the target work device 30 during the first period, to the rotational speed statistics, which represent the statistical value of the engine load, as the evaluation value.

Description

[Technical Field]

[0001] The present invention relates to a work management method, a work management system, and a work management program. [Background technology]

[0002] For work equipment used in fields, the maintenance schedule is determined based on the total operating time.

[0003] For example, Patent Document 1 discloses a technique for setting maintenance timing by adjusting the total operating time to account for the load on the work equipment, by comparing the usage status of the work equipment with the usage status of other work equipment of the same type. [Prior art documents] [Patent Documents]

[0004] [Patent Document 1] Patent No. 7284678 [Overview of the Initiative] [Problems that the invention aims to solve]

[0005] However, the technology described in Patent Document 1 requires complex calculations to calculate virtual operating time using various information about the work equipment. Furthermore, the load on the work equipment may also represent the severity of the working environment in which the work is performed by the work equipment.

[0006] In light of the above circumstances, one of the purposes of this disclosure is to provide a simple way to determine the severity of the working environment for work performed by the work device. Other purposes can be understood from the following description and the description of the embodiments. [Means for solving the problem]

[0007] The means for solving the problem are described below using the numbers and symbols used in the embodiments for carrying out the invention. These numbers and symbols are added in parentheses for reference to show an example of the correspondence between the claims and the embodiments for carrying out the invention. Therefore, the claims should not be interpreted restrictively because of the parenthetical statements.

[0008] A work management method according to one embodiment for achieving the above objective includes determining an evaluation value representing the ratio between the speed and motor load of a target work device (30) performing work in a field (500). The work management method also includes determining the position of the evaluation value as an environmental index representing the severity of the working environment for the target work device (30) with respect to an overall distribution representing the distribution of the ratio between the speed and motor load of multiple work devices (30) of the same type as the target work device (30).

[0009] A work management system (1000) according to one embodiment for achieving the above objective comprises an evaluation value determination unit (150) and an index determination unit (160). The evaluation value determination unit (150) determines an evaluation value that represents the ratio of the speed of the target work device (30) performing work in the field (500) to the motor load. The index determination unit (160) determines the position of the evaluation value as an environmental index representing the severity of the working environment of the target work device (30) with respect to an overall distribution that represents the distribution of the ratio of the speed to the motor load of multiple work devices (30) having the same type as the target work device (30).

[0010] A work management program (420) according to one embodiment for achieving the above objective causes the calculation unit (120, 220) to determine an evaluation value representing the ratio between the speed and motor load of the target work device (30) performing work in the field (500). The work management program (420) also causes the calculation unit (120, 220) to determine the position of the evaluation value in an overall distribution representing the distribution of the ratio between the speed and motor load of multiple work devices (30) of the same type as the target work device (30), as an environmental index representing the severity of the working environment for the target work device (30). [Effects of the Invention]

[0011] According to the above form, the user can easily grasp the severity of the working environment of the work performed by the working device.

Brief Description of Drawings

[0012] [Figure 1] It is a schematic diagram of a work management system in an embodiment. [Figure 2] It is a diagram for explaining the positioning position measured in the working device in an embodiment. [Figure 3] In one embodiment, it is a diagram showing the distribution of evaluation values of the working device. [Figure 4] It is a diagram showing the configuration of the work management device in an embodiment. [Figure 5] It is a diagram showing the functional blocks executed by the work management system in an embodiment. [Figure 6] It is a diagram showing the configuration of the terminal in an embodiment. [Figure 7] In one embodiment, it is a flowchart showing the process for the work management system to determine the severity of the working environment of the working device. [Figure 8] It is a diagram for explaining the maintenance information displayed by the terminal in an embodiment. [Figure 9] It is a diagram for explaining the area environment information indicating the severity of the working environment of the field displayed by the terminal in an embodiment. [Figure 10] It is a diagram showing the functional blocks executed by the work management system in an embodiment. [Figure 11] In one embodiment, it is a flowchart showing the process for the work management system to determine the severity of the working environment of the target area. [Figure 12] It is a diagram showing the configuration of the work management device in an embodiment. [Figure 13] It is a diagram showing the functional blocks executed by the work management system in an embodiment. [Figure 14] This is a flowchart showing a process in which a work management system in an embodiment determines the severity of the work environment in a target area according to the work load due to differences in work types. [Figure 15] This is a diagram showing functional blocks executed by a work management system in an embodiment. [Figure 16] This is a flowchart showing a process in which a work management system in an embodiment determines the severity of the work environment in a target area according to the work load due to differences in work types.

Embodiments for Carrying out the Invention

[0013] (Embodiment 1) The work management system 1000 according to the present embodiment of the present invention will be described with reference to the drawings. In the present embodiment, as shown in FIG. 1, the work management system 1000 includes a work management device 100 and a terminal 200. The work management device 100 is communicably connected to one or more work devices 30 and the terminal 200 via a network 20, for example, the Internet.

[0014] The work device 30, for example, performs work while moving in the farmland 500. For example, the work device 30 may include a combine or the like integrally formed with a work machine. Further, the work device 30 may be a tractor that pulls a work machine to perform work. The work device 30 has a positioning device that measures the position of its own machine at each moment, for example, latitude and longitude. The positioning device may include, for example, a receiver of GNSS (Global Navigation Satellite System), a quantum compass, etc., and measures the position of its own machine at a predetermined interval (for example, an interval of 1 second). For example, as shown in FIG. 2, the work device 30 performs work while moving along a movement path 550 within the farmland 500. In this case, the positioning position 560 measured by the positioning device of the work device 30 represents a position on the movement path 550.

[0015] Furthermore, the work device 30 acquires status information representing the speed of the work device 30, steering angle, engine speed, engine load ratio, and the ON / OFF status of various clutches at each time point. The status information may also include information representing the cumulative operating time, which is the cumulative operating time since the work device 30 was first started. For example, the work device 30 acquires status information when it measures its own position using a measuring device. The work device 30 may also acquire status information at predetermined intervals (e.g., every second) regardless of the measurement of its own position by the measuring device. The status information may also include information representing the time at which it was acquired.

[0016] The work device 30 outputs operational information, including position information representing the positioning location 560 and the measured time, and status information, to the work management device 100. Note that cumulative operational time is not included in the status information at each time point, but may be added as status information when the work device 30 outputs the operational information to the work management device 100.

[0017] The work management device 100 determines an environmental index representing the severity of the working environment for the work performed by the work device 30, based on the operating information of the work device 30. The work management device 100 determines the environmental index based on an evaluation value representing the ratio of the speed of the work device 30 to the engine speed. For example, the evaluation value represents the ratio of the engine speed to the speed of the work device 30. In this case, the evaluation value represents the value obtained by dividing the engine speed by the speed of the work device 30. For example, the environmental index represents the position of the evaluation value of the target work device 30 in the distribution of evaluation values ​​when work is performed on multiple work devices 30.

[0018] For example, as shown in Figure 3, in the distribution of evaluation values ​​for multiple work devices 30, if the evaluation value of the target work device 30 is less than the lower threshold 610, the work management device 100 determines that the work environment provided by the target work device 30 is lenient. Also, if the evaluation value of the target work device 30 is greater than the upper threshold 620, the work management device 100 determines that the work environment provided by the target work device 30 is strict. If the evaluation value of the target work device 30 is less than or equal to the upper threshold 620 and greater than or equal to the lower threshold 610, the work management device 100 determines that the work environment provided by the target work device 30 is standard.

[0019] The work management device 100 determines the virtual operating time of the work device 30 based on environmental indicators and the cumulative operating time of the work device 30. For example, if the working environment of the work device 30 is harsh, the work management device 100 determines a virtual operating time that is greater than the cumulative operating time. For example, the work management device 100 calculates the virtual operating time by multiplying the cumulative operating time by a value greater than 1 (for example, 1.2). Also, if the working environment of the work device 30 is lenient, the work management device 100 determines a virtual operating time that is less than the cumulative operating time. For example, the work management device 100 calculates the virtual operating time by multiplying the cumulative operating time by a value less than 1 (for example, 0.8).

[0020] The timing of maintenance on the work device 30 may be determined based on the cumulative operating time of the work device 30. For example, maintenance on the work device 30 may be performed when the cumulative operating time of the work device 30 reaches a predetermined time (e.g., 50 hours, 100 hours, 200 hours, etc.). Here, the predetermined time for maintenance may be referred to as the maintenance time.

[0021] The work management device 100 compares the virtual operating time with the maintenance time to determine whether or not maintenance is required for the work device 30. For example, the work management device 100 determines that maintenance is required for the work device 30 when the virtual operating time reaches the maintenance time.

[0022] In this way, the work management device 100 can easily calculate the virtual operating time according to the working environment of the work device 30, thereby determining the maintenance timing that takes into account the severity of the working environment of the work device 30.

[0023] (Configuration of the work management system) The configuration of the work management device 100 included in the work management system 1000 shown in Figure 1 will be described. As shown in Figure 4, the work management device 100 comprises an input / output device 110, an arithmetic unit 120, a communication device 130, and a storage device 140. The work management device 100 is a computer, for example, a cloud server. Information for the arithmetic unit 120 to perform processing is input to the input / output device 110. The input / output device 110 also outputs the results of the processing performed by the arithmetic unit 120. The input / output device 110 may include various input and output devices, such as a keyboard, mouse, microphone, display, speaker, touch panel, etc. The input / output device 110 may be omitted.

[0024] The communication device 130 is connected to the network 20 and communicates with each device via the network 20. For example, the communication device 130 transfers information acquired from the work device 30 to the arithmetic unit 120. The communication device 130 also transfers signals generated by the arithmetic unit 120 to the terminal 200. The communication device 130 may include various interfaces such as a NIC (Network Interface Card) and a USB (Universal Serial Bus) terminal.

[0025] The storage device 140 stores various data for determining environmental indicators representing the severity of the working environment of the work device 30, such as operation data 400, evaluation data 410, and the work management program 420. The storage device 140 is used as a non-transitory tangible storage medium for storing the work management program 420. The work management program 420 may be provided as a computer program product recorded on a computer-readable storage medium 1, or as a computer program product downloadable from a server.

[0026] The operation data 400 stores operation information acquired from multiple work devices 30, associating it with information representing the corresponding work device 30. For example, the operation data 400 stores operation information associated with information representing the work device 30 that output the operation information, such as an identification number or model number for identifying the individual device.

[0027] The evaluation data 410 stores information about the evaluation values ​​of multiple work devices 30. For example, the evaluation data 410 stores information representing multiple evaluation values ​​associated with the model of the work device 30. For example, the evaluation data 410 may store information representing the distribution of evaluation values ​​(e.g., mean, standard deviation, etc.) for each model of the work device 30.

[0028] The arithmetic unit 120 reads and executes the work management program 420 from the storage device 140 and performs various data processing to determine environmental indicators of the work performed by the work device 30. For example, the arithmetic unit 120 may include a central processing unit (CPU).

[0029] The arithmetic unit 120 reads and executes the work management program 420, and in cooperation with the storage device 140, realizes the evaluation value determination unit 150, the index determination unit 160, the environment classification unit 170, the maintenance determination unit 180, and the output unit 190, as shown in Figure 5. The evaluation value determination unit 150 determines the evaluation value of the target work device 30. The index determination unit 160 determines the environmental index of the target work device 30 based on the evaluation value of the target work device 30 and the distribution of evaluation values ​​for multiple work devices 30. The environment classification unit 170 classifies the work environment of the work device 30 into environmental groups, such as a group with a harsh work environment or a group with a lenient work environment, based on the environmental index. The maintenance determination unit 180 determines whether maintenance of the work device 30 is necessary based on the environmental group. The output unit 190 outputs maintenance information representing information regarding the maintenance of the work device 30 to the terminal 200.

[0030] Next, the configuration of the terminal 200 shown in Figure 1 will be described. As shown in Figure 6, the terminal 200 comprises an input / output device 210, an arithmetic unit 220, a communication device 230, and a storage device 240. The terminal 200 may include, for example, a computer, a tablet, or a mobile phone. Information for the arithmetic unit 220 to perform processing is input to the input / output device 210. The input / output device 210 also outputs the results of the processing performed by the arithmetic unit 220. The input / output device 210 may include various input and output devices, such as a keyboard, mouse, microphone, display, speaker, touch panel, etc.

[0031] The communication device 230 is connected to the network 20 and communicates with each device via the network 20. For example, the communication device 230 transfers maintenance information obtained from the work management device 100 to the computing device 220. The communication device 230 also transfers signals generated by the computing device 220 to the work management device 100. The communication device 230 may output information to other devices not connected via the network 20, or it may obtain information from other devices. For example, the communication device 230 may obtain information from other devices via any storage medium, such as a memory card or USB (Universal Serial Bus) memory. Alternatively, the communication device 230 may obtain information from other devices directly connected via a USB terminal or the like. The communication device 230 may include various interfaces such as transceivers used for wireless communication, such as wireless LAN (Local Area Network) or cellular networks, NICs (Network Interface Cards), and USB terminals.

[0032] The storage device 240 stores various data for displaying maintenance information acquired from the work management device 100, such as a display program 430. The storage device 240 is used as a non-transitory tangible storage medium for storing the display program 430. The display program 430 may be provided as a computer program product recorded on a computer-readable storage medium 2, or as a computer program product downloadable from a server.

[0033] The arithmetic unit 220 reads and executes the display program 430 from the storage device 240 and performs various data processing to display maintenance information. For example, the arithmetic unit 220 may include a central processing unit (CPU).

[0034] The arithmetic unit 220 reads and executes the display program 430, and in cooperation with the storage device 240 and the input / output device 210, as shown in Figure 5, realizes the display unit 250. The display unit 250 displays the maintenance information acquired from the work management device 100 on the input / output device 210.

[0035] (Operation of the work management system) The operation of the work management system 1000 will be explained. First, the operation of the work management system 1000 in which it stores operational information output from the work device 30 in the operational data 400 will be explained. For example, as shown in Figure 1, when the work device 30 performs work in the field 500, it measures its own position at each time. The work device 30 also acquires status information at each time. The position information representing the measured position 560 and time, and the status information are output to the work management system 100 as operational information. When the work device 30 stops, it outputs all the operational information acquired from start to stop at once. Alternatively, the work device 30 may output the operational information sequentially.

[0036] When the arithmetic unit 120 of the work management device 100 receives operation information from the work device 30, it reads and executes the work management program 420 from the storage device 140. Upon execution of the work management program 420, the evaluation value determination unit 150, which is implemented by the arithmetic unit 120, stores the operation information acquired from the work device 30 in the operation data 400.

[0037] In this way, the operational information measured by the work device 30 is stored in the operational data 400 of the work management device 100.

[0038] Next, the operation of the work management system 1000, which determines the severity of the work environment for the work device 30 and provides maintenance information according to the severity of the work environment, will be explained. The user inputs an operation to display the maintenance information for the work device 30 into the input / output device 210 of the terminal 200. When the operation is input into the input / output device 210 of the terminal 200, the arithmetic unit 220 reads the display program 430 from the storage device 240 and executes it. Once the display program 430 is executed, the arithmetic unit 220 starts the process shown in Figure 7, which is part of the work management method.

[0039] In step S110, the display unit 250, implemented by the arithmetic unit 220, receives information about the work equipment 30 for which maintenance information is to be checked. For example, the user inputs device information representing the work equipment 30 for which maintenance information is to be checked, such as the name of the work equipment 30 and its serial number, into the input / output device 210. When the display unit 250 receives device information representing the work equipment 30 from the user, it determines that it has received the input information about the work equipment 30. The display unit 250 outputs the received device information representing the work equipment 30 to the work management device 100.

[0040] In step S120, the evaluation value determination unit 150 of the work management device 100 determines the evaluation value of the work device 30 represented in the device information acquired from the terminal 200. For example, the evaluation value determination unit 150 extracts the operational information of the work device 30 represented in the device information from the operational data 400. For example, the evaluation value determination unit 150 extracts operational information measured over a predetermined period from the operational information of the target work device 30 from the operational data 400. For example, the evaluation value determination unit 150 extracts all operational information of the work device 30, for example, operational information measured from when the work device 30 was first started up to the present. Alternatively, the evaluation value determination unit 150 may extract operational information measured from when the last maintenance was performed up to the present. The evaluation value determination unit 150 may also extract operational information measured over the most recent predetermined period, for example, from one year ago up to the present.

[0041] The evaluation value determination unit 150 determines an evaluation value based on the extracted operational information. For example, the evaluation value determination unit 150 extracts the speed and engine speed at each positioning position 560 from the extracted operational information. The evaluation value determination unit 150 determines the ratio of the extracted statistical values ​​of speed (e.g., mean, median, etc.) to the statistical values ​​of engine speed (e.g., mean, median, etc.) as the evaluation value. For example, the evaluation value determination unit 150 determines the ratio of the statistical values ​​of engine speed to the extracted statistical values ​​of speed as the evaluation value.

[0042] For example, the statistical value used as the speed statistic is the same as the statistical value used as the engine speed statistic. For example, when the average speed is used as the speed statistic, the average engine speed is used as the engine speed statistic. Also, when the median speed is used as the speed statistic, the median engine speed is used as the engine speed statistic. Note that the speed of the work device 30 may represent the wheel speed calculated from the rotation speed of the wheels of the work device 30, or it may represent the speed calculated from the positioning position 560 of the work device 30.

[0043] In step S130, the index determination unit 160 determines an environmental index representing the severity of the working environment of the target work device 30 based on the evaluation value of the target work device 30. The environmental index represents the position of the evaluation value of the target work device 30 in the distribution of evaluation values ​​for multiple work devices 30 of the same type as the target work device 30. For example, the index determination unit 160 extracts evaluation values ​​for multiple work devices 30 of the same type as the target work device 30 from the evaluation data 410. For example, the index determination unit 160 determines the distribution of the extracted evaluation values ​​and the evaluation value of the target work device 30 as the environmental index.

[0044] For example, the environmental index may represent the position of the evaluation value of the target work device 30 within the distribution of evaluation values, assuming that the distribution of evaluation values ​​approximates a normal distribution. For example, the environmental index may be determined as the value to which the evaluation value of the target work device 30 is converted when the distribution of evaluation values ​​is standardized, specifically into a distribution with a mean of 0 (zero) and a variance of 1. In this case, the environmental index is determined by the following equation (1).

number

[0045] Furthermore, the index determination unit 160 may express the distribution of evaluation values ​​using the mean value 600 and the standard deviation of the distribution, as shown in Figure 3. In this case, the environmental index may represent the evaluation value of the work device 30, the mean value 600 and the standard deviation of the distribution.

[0046] In step S140 shown in Figure 7, the environmental classification unit 170 classifies the work environment of the target work device 30 into multiple environmental groups based on environmental indicators, according to the severity of the work environment. For example, as shown in Figure 3, the environmental groups include a group representing a mild work environment, a group representing a standard work environment, and a group representing a severe work environment. In this case, the environmental classification unit 170 compares the evaluation value of the target work device 30 with multiple thresholds (e.g., lower threshold 610, upper threshold 620, etc.) in the environmental indicators, and classifies the work environment of the work device 30 into multiple environmental groups. For example, when the evaluation value is less than the lower threshold 610, the environmental classification unit 170 classifies the work environment of the work device 30 into the group representing a mild work environment. Also, when the evaluation value is greater than or equal to the lower threshold 610 and less than or equal to the upper threshold 620, the environmental classification unit 170 classifies the work environment of the work device 30 into the group representing a standard work environment. The environmental classification unit 170 classifies the working environment of the work device 30 into a group representing a harsh working environment when the evaluation value is greater than the upper threshold 620.

[0047] Here, the lower threshold 610 and the upper threshold 620 represent arbitrary values ​​set in advance. For example, the lower threshold 610 represents the value obtained by subtracting twice the standard deviation from the mean of the distribution 600. The upper threshold 620 represents the value obtained by adding twice the standard deviation to the mean of the distribution 600. For example, when the environmental index represents an evaluation value standardized by the above formula (1), the lower threshold 610 may represent "-2" and the upper threshold 620 may represent "+2".

[0048] In step S150 shown in Figure 7, the maintenance decision unit 180 determines whether maintenance is required for the target work device 30 based on the classified environment group and the cumulative operating time of the target work device 30. For example, the maintenance decision unit 180 determines the virtual operating time based on the cumulative operating time of the work device 30 and the environment group. The cumulative operating time of the work device 30 is obtained from the operating information.

[0049] For example, the maintenance determination unit 180 determines the virtual operating time by multiplying the cumulative operating time of the work device 30 by a coefficient corresponding to the environment group. For example, when the work environment is classified as a mild environment group, the maintenance determination unit 180 multiplies the cumulative operating time by a coefficient less than 1, for example 0.8, to determine the virtual operating time. When the work environment is classified as a standard environment group, the maintenance determination unit 180 sets the coefficient to 1 and determines the cumulative operating time as the virtual operating time. When the work environment is classified as a harsh environment group, the maintenance determination unit 180 multiplies the cumulative operating time by a coefficient greater than 1, for example 1.2, to determine the virtual operating time. For example, when the cumulative operating time is 187 hours and the work environment is classified as a harsh environment group, the virtual operating time represents 224.4 hours, which is 187 multiplied by 1.2.

[0050] The maintenance decision unit 180 determines that maintenance should be performed on the target work device 30 when the virtual operating time is equal to or greater than the maintenance time, which represents the cumulative operating time at which maintenance should be performed next. For example, if the next maintenance time is 200 hours and the virtual operating time is 224.4 hours, the maintenance decision unit 180 determines that maintenance should be performed on the target work device 30. In this way, the maintenance decision unit 180 determines that maintenance should be performed on a work device 30 that has been used in a harsh work environment, even if the maintenance time has not yet been reached, and recommends maintenance of the work device 30 according to the work environment. The maintenance decision unit 180 also determines that maintenance is not necessary for the target work device 30 when the virtual operating time is less than the next maintenance time.

[0051] In step S160, the output unit 190 outputs maintenance information to the terminal 200, which represents information regarding the maintenance of the work device 30. The maintenance information includes, for example, information representing the target work device 30, such as the identifier and name of the work device 30. The maintenance information also includes information indicating whether or not the target work device 30 should be maintained. Furthermore, the maintenance information may include information representing the current cumulative operating time and the next maintenance time. The maintenance information may also include information representing the working environment of the target work device 30, such as information representing the environment group and information representing environmental indicators.

[0052] In step S170, the display unit 250 of the terminal 200 displays the maintenance information acquired from the work management device 100 on the input / output device 210. For example, the display unit 250 displays a maintenance image 650 representing the maintenance information, as shown in Figure 8. For example, the display unit 250 displays information representing the target work device 30 and information indicating whether or not the work device 30 should be maintained on the maintenance image 650. For example, the example shown in Figure 8 indicates that the "Maintenance Required" status for the work device 30 "XXX1" is "Required," indicating that maintenance should be performed. This allows the user to confirm that maintenance should be performed on the work device 30.

[0053] Furthermore, the display unit 250 may display information representing the cumulative operating time of the target work device 30 and information representing the next maintenance time on the maintenance image 650. For example, the example shown in Figure 8 shows that for work device 30 "XXX1", the current cumulative operating time is 187 hours and the next maintenance time is 200 hours. The user can confirm the basis for determining whether maintenance is necessary based on the cumulative operating time of the work device 30.

[0054] Furthermore, the display unit 250 may display information indicating the severity of the work environment on the maintenance image 650. For example, the maintenance image 650 may display information indicating the environmental group into which the work environment of the work device 30 is classified. The example shown in Figure 8 indicates that the work environment of work device 30 "XXX1" is classified into an environmental group representing a severe work environment. The maintenance image 650 may also display information indicating an environmental index that shows the position of the evaluation value of the target work device 30 in the distribution of evaluation values ​​of multiple work devices 30. For example, the display unit 250 may display a reference value 660 showing the distribution of multiple work devices 30 and the evaluation value of the target work device 30 on the maintenance image 650. The example shown in Figure 8 indicates that the environmental index of work device 30 "XXX1" is greater than the reference value 660, indicating that the work device 30 is working in a severe work environment. Therefore, it becomes easier for the user to understand that the work environment of the work device 30 is severe. In this way, the work management system 1000 can encourage the user to perform maintenance early.

[0055] (Embodiment 2) The work management system 1000 may determine the severity of the working environment in the area where work is performed by the work device 30 in order to determine an environmental index that represents the severity of the working environment of the work device 30. For example, when the work device 30 performs work in multiple fields 500 (e.g., first field 500-1, second field 500-2, third field 500-3, etc.) as shown in Figure 9, the work management system 1000 may determine the severity of the working environment in each field 500 based on the operating information of the work device 30. Furthermore, the area in which the severity of the working environment is determined may be a small area obtained by dividing the field 500.

[0056] (Configuration of the work management system) The configuration of the work management system 1000 in this embodiment differs in part from that of Embodiment 1. Specifically, as shown in Figure 10, the processing of the evaluation value determination unit 150B and the output unit 190B, which are implemented by the calculation unit 120 of the work management device 100, is different. Also, the processing of the display unit 250B, which is implemented by the calculation unit 220 of the terminal 200, is different. For this reason, a detailed explanation of the configuration of the work management system 1000 is omitted, except for the evaluation value determination unit 150B, the output unit 190B, and the display unit 250B. Note that the maintenance determination unit 180 may be omitted.

[0057] The evaluation value determination unit 150B determines an evaluation value according to the target area, which represents the area for which the severity of the work environment is to be determined. The output unit 190B outputs area environment information representing the severity of the work environment of the target area to the terminal 200, based on the environment group determined by the environment classification unit 170. The display unit 250 displays the area environment information acquired from the work management device 100 on the input / output device 210.

[0058] (Operation of the work management system) The operation of the work management system 1000 in this embodiment will now be described. The operation of the work management system 1000 to store the operational information output from the work device 30 in the operational data 400 is the same as in Embodiment 1, so a detailed explanation will be omitted.

[0059] The operation of the work management system 1000 in determining the severity of the work environment in the target area is described below. The user inputs an operation to the input / output device 210 of the terminal 200 to display area environment information representing the severity of the work environment in the target area. When the operation is input to the input / output device 210 of the terminal 200, the arithmetic unit 220 of the terminal 200 reads and executes the display program 430 from the storage device 240. Once the display program 430 is executed, the arithmetic unit 220 starts the process shown in Figure 11, which is part of the work management method.

[0060] In step S210B, the display unit 250B, implemented by the calculation unit 220, receives information about the target area for checking the severity of the work environment. For example, the user inputs area information representing the target area for checking the severity of the work environment, such as information representing the geographical extent of the target area, into the input / output device 210. For example, the user selects the extent of the target area on the map displayed on the input / output device 210. Alternatively, the user may select the field 500 that will be the target area on the map displayed on the input / output device 210. When the display unit 250B receives area information representing the target area from the user, it determines that it has received the information about the target area. The display unit 250B outputs the received area information representing the target area to the work management device 100. The area information represents, for example, the geographical extent and location of the target area. If the target area is a polygon, the area information may represent the positions of multiple vertices forming the polygon (for example, latitude and longitude).

[0061] In step S220B, the evaluation value determination unit 150B of the work management device 100 determines the evaluation value of the target area represented in the area information acquired from the terminal 200. For example, the evaluation value determination unit 150B extracts operation information representing a location included in the target area from the operation information stored in the operation data 400. For example, the evaluation value determination unit 150B extracts operation information from the operation data 400 that corresponds to one type of work device 30 and represents a positioning location 560 included in the geographical range of the target area. For example, when the target area is the first field 500-1 shown in Figure 9, the evaluation value determination unit 150B extracts operation information acquired from one work device 30, where the positioning location 560 represented in the operation information of the work device 30 represents a location within the geographical range of the first field 500-1. Furthermore, the evaluation value determination unit 150B may extract operational information obtained from working devices 30 of the same type, where the positioning position 560 represented in the operational information of the working device 30 represents a location within the geographical range of the first field 500-1.

[0062] For example, the evaluation value determination unit 150B may extract all operational information (for example, operational information measured from the time each working device 30 was started until the present) relating to one or more working devices 30 of the same type, where the positioning position 560 represents a location within the first field 500-1. Alternatively, the evaluation value determination unit 150B may extract all operational information acquired from one working device 30 where the positioning position 560 represents a location within the first field 500-1, for example, operational information measured from the time the working device 30 was first started until the present. The evaluation value determination unit 150B may also extract operational information measured during a predetermined period from the operational information acquired from one working device 30 where the positioning position 560 represents a location within the first field 500-1. The predetermined period may represent, for example, the most recent predetermined period, or the period from one year ago to the present.

[0063] The evaluation value determination unit 150B extracts the speed and engine speed at each positioning position 560 from the extracted operating information, similar to the process in step S120 shown in Figure 7. The evaluation value determination unit 150 determines the ratio of the statistical value of the engine speed to the statistical value of the extracted speed as the evaluation value.

[0064] In step S230 shown in Figure 11, the index determination unit 160 determines an environmental index representing the severity of the working environment in the target area based on the evaluation value of the target area. In step S230, the index determination unit 160 performs the same processing as in step S130 shown in Figure 7. Here, the distribution used when determining the environmental index is the same type as the type of work device 30 used when determining the evaluation value. As the processing in step S230 is the same as the processing in step S130 shown in Figure 7, as described above, a detailed explanation is omitted.

[0065] In step S240, the environmental classification unit 170 classifies the work environment into multiple environmental groups based on environmental indicators, according to the severity of the work environment in the target area. The process in step S240 is the same as the process in step S140 shown in Figure 7, so a detailed explanation is omitted.

[0066] In step S260B, the output unit 190B outputs area environment information representing the severity of the work environment in the target area to the terminal 200. For example, the area environment information includes information that associates the target area, such as the geographical extent of the target area, with an environment group indicating the severity of the work environment in the target area. The area environment information may also include information representing a map of the region containing the target area, such as a map image.

[0067] In step S270B, the display unit 250B of the terminal 200 displays the area environment information acquired from the work management device 100 on the input / output device 210. For example, as shown in Figure 9, the display unit 250B displays an image representing the target area in a display format (e.g., color, pattern, frame color, etc.) according to the classified environment group. The example shown in Figure 9 shows that the first field 500-1 is classified as an environment group indicating a harsh working environment. It also shows that the second field 500-2 is classified as an environment group indicating a mild working environment. Furthermore, it shows that the third field 500-3 is classified as an environment group indicating a standard working environment.

[0068] For example, the user can use the area environment information to confirm that the time required to work in the first field 500-1 may be longer than the time required to work in the other fields 500. They can also confirm that the time required to work in the second field 500-2 may be shorter than the time required to work in the other fields 500.

[0069] In this way, based on the information provided by the work management system 1000, users can easily confirm the severity of the work environment.

[0070] (Embodiment 3) The work management system 1000 may determine environmental indicators by considering the type of work performed by the work device 30. For example, the work device 30 may perform multiple types of work, such as a tractor. In this case, even if the evaluation value of the work device 30 is the same, the severity of the work environment may differ when the type of work performed is different. For example, even if pesticide spraying is performed in a harsh work environment, the evaluation value may be lower than that of harvesting work performed in a mild work environment. For this reason, the work management system 1000 may determine the severity of the work environment by considering the type of work.

[0071] (Configuration of the work management system) The configuration of the work management system 1000 in this embodiment differs in part from that of the second embodiment. Specifically, as shown in Figure 12, the information stored in the evaluation data 410B stored in the storage device 140 of the work management device 100 is different. Also, as shown in Figure 13, the processing of the evaluation value determination unit 150C implemented by the arithmetic unit 120 of the work management device 100 is different. For this reason, a detailed explanation of the configuration of the work management system 1000 will be omitted, except for the evaluation data 410B and the evaluation value determination unit 150C.

[0072] The evaluation data 410B shown in Figure 12 stores information regarding the evaluation values ​​of multiple work devices 30. For example, the evaluation data 410B stores information representing multiple evaluation values ​​associated with the model of the work device 30 and the type of work performed by the work device 30. For example, the evaluation data 410B stores information representing the distribution of evaluation values ​​(e.g., mean, standard deviation) for each combination of the model of the work device 30 and the type of work performed by the work device 30. The type of work can be set in any way, for example, by the user manually, or by being automatically estimated from the operating information of the work device 30.

[0073] The evaluation value determination unit 150C shown in Figure 13 determines a type-specific evaluation value representing the evaluation value for each type of work, according to the target area. Furthermore, the evaluation value determination unit 150C determines an evaluation value based on one or more of the determined type-specific evaluation values.

[0074] (Operation of the work management system) The operation of the work management system 1000 in this embodiment will now be described. The operation of the work management system 1000 to store the operational information output from the work device 30 in the operational data 400 is the same as in Embodiment 2, so a detailed explanation will be omitted.

[0075] The operation of the work management system 1000 in determining the severity of the work environment in the target area will be described. Similar to Embodiment 2, the user inputs an operation to the input / output device 210 of the terminal 200 to display area environment information representing the severity of the work environment in the target area. When the operation is input to the input / output device 210 of the terminal 200, the arithmetic unit 220 reads and executes the display program 430 from the storage device 240. Once the display program 430 is executed, the arithmetic unit 220 starts the process shown in Figure 14, which is part of the work management method.

[0076] In step S310B, the display unit 250B, implemented by the arithmetic unit 220, receives information about the target area for checking the severity of the work environment. The display unit 250B outputs area information representing the received target area to the work management device 100. The processing in step S310B is the same as the processing in step S210B shown in Figure 11, so a detailed explanation is omitted.

[0077] In step S322, the evaluation value determination unit 150C of the work management device 100 determines the type-specific evaluation value for each type of work in the target area represented by the area information acquired from the terminal 200. For example, the evaluation value determination unit 150C extracts operation information representing a location included in the target area from the operation information stored in the operation data 400, similar to the process in step S220B shown in Figure 11. For example, the evaluation value determination unit 150C extracts operation information from the operation data 400 that corresponds to one type of work device 30 and represents a positioning location 560 included in the geographical range of the target area.

[0078] The evaluation value determination unit 150C classifies the extracted operational information according to the type of work performed when the operational information was measured. For example, the evaluation value determination unit 150C classifies operational information measured when tilling was performed from operational information measured when harvesting was performed. For example, the evaluation value determination unit 150C classifies the operational information for each work type period, which represents the period during which each type of work was performed. Note that one work type period may be divided into multiple periods during which other types of work were performed.

[0079] For each classified operational information, the evaluation value determination unit 150C extracts the speed and engine speed at each positioning position 560. For each classified operational information, the evaluation value determination unit 150C determines the ratio of the statistical value of the engine speed to the statistical value of the extracted speed as a type-specific evaluation value, similar to step S220B shown in Figure 11.

[0080] In step S325, the evaluation value determination unit 150C determines the evaluation value in the target area based on the type-specific evaluation value for each type of work in the target area. The evaluation value determination unit 150C determines the evaluation value in the target area based on the type-specific evaluation value for each type of work and the workload value corresponding to the type of work. For example, the evaluation value determination unit 150C calculates a value for each type of work by multiplying the type-specific evaluation value by the workload value, and determines the statistical value (e.g., mean, median, etc.) of one or more of the calculated values ​​as the evaluation value in the target area.

[0081] Here, the workload value represents an arbitrary fixed value set in advance according to the type of work. Alternatively, the workload value may be determined based on the distribution of evaluation values ​​for all work devices 30 of the same type (hereinafter also referred to as the overall distribution) and the distribution of evaluation values ​​when work of the corresponding type is being performed (hereinafter also referred to as the type-specific distribution). For example, the workload value may represent the ratio of the statistical values ​​of the overall distribution (e.g., mean, median, etc.) to the statistical values ​​of the type-specific distribution (e.g., mean, median, etc.). For example, the workload value may represent the ratio of the statistical values ​​of the overall distribution to the statistical values ​​of the type-specific distribution.

[0082] In step S330, the index determination unit 160 determines an environmental index representing the severity of the working environment in the target area based on the evaluation value of the target area. The process in step S330 is the same as the process in step S230 shown in Figure 11, so a detailed explanation is omitted.

[0083] In step S340, the environmental classification unit 170 classifies the work environment into multiple environmental groups based on environmental indicators, according to the severity of the work environment in the target area. The process in step S340 is the same as the process in step S240 shown in Figure 11, so a detailed explanation is omitted.

[0084] In step S360B, the output unit 190B outputs area environment information representing the severity of the working environment in the target area to the terminal 200. The processing in step S360B is the same as the processing in step S260B shown in Figure 11, so a detailed explanation is omitted.

[0085] In step S370B, the display unit 250B of the terminal 200 displays the area environment information acquired from the work management device 100 on the input / output device 210. The processing in step S370B is the same as the processing in step S270B shown in Figure 11, so a detailed explanation is omitted.

[0086] Thus, the work management system 1000 may determine the severity of the work environment by taking into account the differences in work types.

[0087] (Embodiment 4) The average and variance of the evaluation value, which represents the ratio of the speed of the work device 30 to the engine speed, may differ depending on the type of work performed by the work device 30. For example, the variance of the evaluation values ​​of multiple work devices 30 during harvesting may be greater than the variance of the evaluation values ​​of multiple work devices 30 during pesticide spraying. In this case, even if the difference between the evaluation value and the average value in harvesting is the same as the difference between the evaluation value and the average value in pesticide spraying, the severity of the standard working environment may be more severe in pesticide spraying. For this reason, the work management system 1000 may determine the severity of the working environment by considering the distribution of evaluation values ​​for each type of work.

[0088] (Configuration of the work management system) The configuration of the work management system 1000 in this embodiment differs in part from that of the configuration in Embodiment 3. Specifically, as shown in Figure 15, the processing of the evaluation value determination unit 150D implemented by the calculation unit 120 of the work management device 100 is different. For this reason, a detailed explanation of the configuration of the work management system 1000 will be omitted, except for the evaluation value determination unit 150D.

[0089] The evaluation value determination unit 150D determines a type-specific evaluation value that represents the evaluation value for each type of work, according to the target area. Furthermore, the evaluation value determination unit 150D determines an evaluation value based on one or more determined type-specific evaluation values ​​and the distribution of evaluation values ​​for each type of work.

[0090] (Operation of the work management system) The operation of the work management system 1000 in this embodiment will now be described. The operation of the work management system 1000 to store the operational information output from the work device 30 in the operational data 400 is the same as in Embodiment 3, so a detailed explanation will be omitted.

[0091] The operation of the work management system 1000 in determining the severity of the work environment in the target area will be described. Similar to Embodiments 2 and 3, the user inputs an operation to the input / output device 210 of the terminal 200 to display area environment information representing the severity of the work environment in the target area. When the operation is input to the input / output device 210, the arithmetic unit 220 of the terminal 200 reads and executes the display program 430 from the storage device 240. Once the display program 430 is executed, the arithmetic unit 220 starts the process shown in Figure 16, which is part of the work management method.

[0092] In step S410B, the display unit 250B, implemented by the arithmetic unit 220, receives information about the target area for checking the severity of the work environment. The display unit 250B outputs area information representing the received target area to the work management device 100. The processing in step S410B is the same as the processing in step S310B shown in Figure 14, so a detailed explanation is omitted.

[0093] In step S422, the evaluation value determination unit 150D of the work management device 100 determines the type-specific evaluation value for each work type in the target area represented by the area information acquired from the terminal 200. The process in step S422 is the same as the process in step S322 shown in Figure 14, so a detailed explanation is omitted.

[0094] In step S425B, the evaluation value determination unit 150D determines the evaluation value in the target area based on the type-specific evaluation value for each work type in the target area and the distribution of the evaluation values ​​for each work type. For example, when the evaluation value determination unit 150D converts the type-specific distribution of evaluation values ​​for each work type into an overall distribution of evaluation values ​​in multiple work devices 30, it determines the converted evaluation value for each work type that is converted from the type-specific evaluation value for each work type. Here, converting the type-specific distribution into an overall distribution means converting the shape of the type-specific distribution into the shape of the overall distribution. For example, the evaluation value determination unit 150D converts the type-specific distribution such that the mean and standard deviation of the type-specific distribution are equal to the mean and standard deviation of the overall distribution. In this case, each evaluation value of the type-specific distribution is converted by the following equation (2), and the evaluation value determination unit 150D uses equation (2) to calculate the converted evaluation value from the type-specific evaluation value for each work type.

number

[0095] The evaluation value determination unit 150D determines the evaluation value in the target area based on the converted evaluation value for each type of work in the target area. For example, the evaluation value determination unit 150D determines the statistical value (e.g., mean, median, etc.) of the converted evaluation value for each type of work as the evaluation value in the target area.

[0096] In step S430, the index determination unit 160 determines an environmental index representing the severity of the working environment in the target area based on the evaluation value of the target area. The process in step S430 is the same as the process in step S330 shown in Figure 14, so a detailed explanation is omitted.

[0097] In step S440, the environmental classification unit 170 classifies the work environment into multiple environmental groups based on environmental indicators, according to the severity of the work environment in the target area. The process in step S440 is the same as the process in step S340 shown in Figure 14, so a detailed explanation is omitted.

[0098] In step S460B, the output unit 190B outputs area environment information representing the severity of the working environment in the target area to the terminal 200. The processing in step S460B is the same as the processing in step S360B shown in Figure 14, so a detailed explanation is omitted.

[0099] In step S470B, the display unit 250B of the terminal 200 displays the area environment information acquired from the work management device 100 on the input / output device 210. The processing in step S470B is the same as the processing in step S370B shown in Figure 14, so a detailed explanation is omitted.

[0100] Thus, the work management system 1000 may determine the severity of the work environment by taking into account the differences in work types.

[0101] (modified version) The embodiments and modifications described above are merely examples, and the configurations described in each embodiment and modification may be arbitrarily changed and / or combined as long as they do not impair the function. Furthermore, some of the functions described in the embodiments and modifications may be omitted if the necessary functions can be achieved.

[0102] For example, the evaluation value shown represents the ratio of engine speed to vehicle speed, but it may also represent the ratio of vehicle speed to engine speed. In this case, a larger evaluation value indicates a less demanding work environment due to the target work device 30 or the target area. Therefore, unlike the example shown in Figure 3, in this case, the environmental classification unit 170 of the work management device 100 classifies the work environment into a group representing a harsh work environment when the evaluation value is smaller than the lower threshold 610. Also, the environmental classification unit 170 classifies the work environment into a group representing a mild work environment when the evaluation value is larger than the upper threshold 620.

[0103] Furthermore, the evaluation value is not limited to the ratio of speed to engine speed, but may also represent the ratio of the speed of the work device 30 to the engine load, which represents the degree of load on the prime mover of the work device 30. For example, the evaluation value represents the ratio of the statistical value of the speed of the work device 30 to the statistical value of the engine load. The engine load includes, for example, the engine load ratio in addition to the engine speed. Also, when the prime mover of the work device 30 is an electric motor instead of an engine, the engine load ratio may represent the degree of load on the electric motor and may represent the current value of the electric motor. The engine load ratio may also represent the power consumption of the electric motor.

[0104] The example given shows three environmental groups: one representing a relaxed work environment, one representing a standard work environment, and one representing a strict work environment. However, the example is not limited to this. There may be two environmental groups, four or more, or more. In this case, the number of thresholds is set according to the number of environmental groups.

[0105] Furthermore, although Figure 7 shows an example where the environmental classification unit 170 of the work management device 100 compares the evaluation value with a threshold and classifies it into an environmental group in step S140, it is not limited to this. The environmental classification unit 170 may use any method to determine the environmental group corresponding to the position of the evaluation value of the target work device 30 in the distribution of evaluation values ​​for multiple work devices 30. For example, the environmental classification unit 170 may classify the work environment into an environmental group representing a lenient work environment when the evaluation value of the target work device 30 is included in a predetermined lower percentage of the evaluation values ​​of multiple work devices 30. For example, the environmental classification unit 170 may arrange the evaluation values ​​of multiple work devices 30 in ascending order and classify the work environment into an environmental group representing a lenient work environment when the position of the evaluation value of the target work device 30 is included in the first percentage of the whole.

[0106] Furthermore, the environmental classification unit 170 may classify a work environment into an environmental group representing a harsh work environment if the evaluation value of the target work device 30 is included in the upper predetermined proportion of the evaluation values ​​of multiple work devices 30. For example, the environmental classification unit 170 may arrange the evaluation values ​​of multiple work devices 30 in ascending order, and if the position of the evaluation value of the target work device 30 is included in the lower predetermined proportion of the total, it may classify the work environment into an environmental group representing a harsh work environment.

[0107] In step S150 shown in Figure 7, the coefficient multiplied by the cumulative operating time according to the corresponding environmental group may not be a fixed value according to the environmental group, but may be a variable calculated from the distribution of evaluation values ​​and an environmental index representing the position of the evaluation value of the target work device 30. For example, the maintenance decision unit 180 of the work management device 100 may determine the coefficient based on the average value of the evaluation values ​​of multiple work devices 30 and the evaluation value of the target work device 30. For example, the maintenance decision unit 180 may determine the ratio of the evaluation value of the target work device 30 to the average value of the evaluation values ​​of multiple work devices 30 as the coefficient.

[0108] Furthermore, the maintenance decision unit 180 may determine the virtual operating time in any way based on the operating time of the work device 30 and a coefficient corresponding to the environmental group. For example, in step S120 shown in Figure 7, the evaluation value determination unit 150 of the work management device 100 divides the operating time of the work device 30 into predetermined periods and determines an evaluation value for each divided period. The predetermined period represents any period, for example, the working time for one day. In step S130, the index determination unit 160 determines an environmental index for each divided period, and in step S140, the environmental classification unit 170 classifies the environmental group for each divided period. In step S150, the maintenance decision unit 180 multiplies the operating time for each divided period by a coefficient corresponding to the environmental group to determine the virtual operating time for each divided period. The maintenance decision unit 180 may determine the total virtual operating time by accumulating the determined virtual operating times for each divided period.

[0109] In step S150 shown in Figure 7, the maintenance decision unit 180 of the work management device 100 may compare the virtual operating time with a predetermined time shorter than the next maintenance time to determine whether or not maintenance should be performed. For example, the predetermined time represents the period from when the user checks the maintenance information until the actual maintenance is performed. This allows the user to check the need for maintenance before the virtual operating time of the work device 30 reaches the maintenance time, and to compare the virtual operating time with the maintenance time to determine when to perform maintenance on the work device 30.

[0110] Furthermore, if the virtual operating time has not reached the next maintenance time, the maintenance decision unit 180 may determine when to perform the next maintenance based on the difference between the virtual operating time and the next maintenance time. For example, the maintenance decision unit 180 determines the maintenance timing based on the difference between the virtual operating time and the next maintenance time and the operating time of the work device 30 during a predetermined period (e.g., one day). For example, the maintenance decision unit 180 determines the maintenance timing by dividing the difference between the virtual operating time and the next maintenance time by the operating time of the work device 30 during a predetermined period. For example, the maintenance decision unit 180 determines the time from the present to the time when maintenance should be performed as the time obtained by multiplying the value obtained by the division by a predetermined period. Here, the operating time of the work device 30 during a predetermined period may be the average value for a certain period, for example, the most recent month. Also, the operating time of the work device 30 during a predetermined period may be a fixed value independent of the work device 30, or a fixed value corresponding to the type of work performed by the work device 30.

[0111] In step S170 shown in Figure 7, the display unit 250 of the terminal 200 may display an image representing maintenance information for multiple work devices 30. For example, in the example shown in Figure 8, the display unit 250 may display information about multiple work devices 30 arranged below the work device 30 labeled "XXX1".

[0112] In step S325 shown in FIG. 14, the evaluation value determination unit 150C of the work management device 100 may determine the evaluation value in the target area by any method from the type-specific evaluation values for each work type in the target area and the work load values for each work type. Further, the work load value may be determined by the evaluation value determination unit 150C based on the evaluation value stored in the evaluation data 410B.

[0113] In step S425B shown in FIG. 16, the evaluation value determination unit 150D of the work management device 100 determined the conversion evaluation value when converting the type-specific distribution of the evaluation values for each work type in the target area into the overall distribution of the evaluation values in the plurality of work devices 30, but is not limited thereto. The evaluation value determination unit 150D may determine the conversion evaluation value when converting the type-specific distribution of the evaluation values for each work type into an arbitrary common distribution. For example, the evaluation value determination unit 150D converts the type-specific distribution of the evaluation values of the tilling work into the mean value μ r and the standard deviation σ r and determines the conversion evaluation value. The evaluation value determination unit 150D similarly determines the conversion evaluation value when converting the type-specific distribution of the evaluation values of other work, for example, harvesting work, into the mean value μ r and the standard deviation σ r In this case, in step S430, the environmental index determined by the index determination unit 160 represents the position of the evaluation value in the converted common distribution, for example, the mean value μ r and the standard deviation σ r distribution.

[0114] Further, the evaluation value determination unit 150D may determine the evaluation value in the target area based on the conversion evaluation value for each work type in the target area and the operation time for each work type in the target area. For example, the evaluation value determination unit 150D determines, for each work type, a type-specific time ratio representing the ratio of the operation time in the target area to the operation time for each work type. The evaluation value determination unit 150D determines the evaluation value in the target area based on the type-specific time ratio and the conversion evaluation value. For example, the evaluation value determination unit 150D determines, for each work type, the sum of the products of the determined type-specific time ratio and the conversion evaluation value as the evaluation value in the target area.

[0115] In step S120 shown in Figure 7, when the evaluation value determination unit 150 of the work management device 100 determines the evaluation value, an example is shown where the statistical value used as the speed statistical value is the same as the statistical value used as the engine speed statistical value, but they may be different.

[0116] The evaluation value determination unit 150 of the work management device 100 may update the distribution of evaluation values ​​for the multiple work devices 30 stored in the evaluation data 410 each time it receives operational information from the work devices 30.

[0117] Embodiments 3 and 4 show examples of determining environmental indicators in a target area by considering the type of work, but the environmental indicators for the work of the work device 30 may also be determined by considering the type of work.

[0118] The environmental indicators in the target area may be determined using evaluation values ​​of work devices 30 having multiple types. For example, in Embodiment 4, by replacing the type distribution for each type of work with a type distribution representing the distribution for each type of work device 30, the indicator determination unit 160 determines the environmental indicators using evaluation values ​​of work devices 30 having multiple types. Specifically, instead of step S422 shown in Figure 16, the evaluation value determination unit 150D determines the evaluation value for each type of work device 30 as the type evaluation value. Instead of step S425B, the evaluation value determination unit 150D determines the converted evaluation value when the type distribution is converted to a common distribution, and determines the evaluation value in the target area based on the converted evaluation value. Instead of step S430, the indicator determination unit 160 determines the environmental indicators that represent the position of the evaluation value in the target area in the common distribution. Subsequent processing is performed in the same manner as the processing shown in Figure 16.

[0119] Furthermore, the environmental indicators in the target area may use evaluation values ​​from work devices 30 of multiple types, taking into account the type of work. In this case, the evaluation value determination unit 150D of the work management device 100 determines evaluation values ​​for each combination of work type and type, and determines the evaluation values ​​in the target area based on the evaluation values ​​for each combination.

[0120] As shown in Figure 8, the display unit 250 of terminal 200 displays maintenance information such as whether maintenance is required, cumulative operating time, and environmental indicators representing the severity of the work environment, associated with information identifying the work device 30. However, only some of these may be displayed. Also, as shown in Figure 9, the display unit 250B displays an environmental group related to the severity of the work environment of the target area, but is not limited to this. For example, the display unit 250B may display environmental indicators representing the severity of the work environment of the target area. For example, the display unit 250B may display the average value of the distribution of evaluation values ​​represented by the environmental indicators and the evaluation value of the target area. Furthermore, the display unit 250B may represent the portion of the map representing the target area with a color corresponding to the evaluation value of the target area. In this case, for example, the display unit 250B may display the portion representing the target area with increasing brightness as the evaluation value increases.

[0121] For example, the work management device 100 may perform some or all of the processing of terminal 200. Conversely, terminal 200 may perform some or all of the processing of work management device 100. The work management program 420 may include a display program 430.

[0122] The work management system 1000 may not include terminal 200 and may display information on external terminals not included in the work management system 1000.

[0123] (Note) The work management method, work management system, and work management program described in each embodiment can be described as follows.

[0124] The work management method relating to the first aspect is: To determine an evaluation value that represents the ratio between the speed of the target work equipment used in the field and the engine load, The position of the evaluation value is determined as an environmental index representing the severity of the working environment of the target work device, relative to the overall distribution representing the ratio of speed to engine load of multiple work devices of the same type as the target work device. Includes.

[0125] The work management method relating to the second aspect is the work management method relating to the first aspect, Determining the aforementioned evaluation value means The ratio of the speed statistics, which represent the statistical value of the speed of the target work device during the first period, to the rotational speed statistics, which represent the statistical value of the prime mover load, is determined as the evaluation value. Includes, The overall distribution represents the distribution of the ratio between the statistical values ​​of the speeds of the multiple work devices and the statistical values ​​of the engine load.

[0126] The work management method relating to the third aspect is the work management method relating to the second aspect, The first period includes one or more periods categorized by type, during which one or more work types are performed by the target work device, and the same work type is performed during that period. Determining the aforementioned evaluation value means The ratio of the speed statistics value and the rotational speed statistics value in each of the one or more type-specific periods is determined as one or more type-specific evaluation values ​​for the one or more type-specific periods. The evaluation value is determined based on each of the one or more type-specific evaluation values ​​and the workload value corresponding to the type of work performed by the target work device during the one or more type-specific period corresponding to the one or more type-specific evaluation values. Includes.

[0127] The work management method relating to the fourth aspect is the work management method relating to the third aspect, The aforementioned workload value represents the ratio of a statistical value obtained by the ratio of the statistical value of speed and the statistical value of the prime mover load during the period in which the type of work performed by the plurality of work devices is the same as the type of work corresponding to the workload value, to the statistical value of the overall distribution.

[0128] The work management method relating to the fifth aspect is a work management method relating to the third or fourth aspect, Determining the evaluation value based on each of the one or more type-specific evaluation values ​​and the workload value is: The evaluation value is determined by determining one or more statistical values ​​obtained by multiplying each of the one or more type-specific evaluation values ​​by the corresponding workload value. Includes.

[0129] The work management method relating to the sixth aspect is the work management method relating to the second aspect, The first period includes one or more periods categorized by type, during which one or more work types are performed by the target work device, and the same work type is performed during that period. The overall distribution has one or more type-specific distributions that represent one or more distributions separated for each type of work, Determining the aforementioned evaluation value means The ratio of the speed statistics value and the rotational speed statistics value in each of the one or more type-specific periods is determined as one or more type-specific evaluation values ​​for the one or more type-specific periods. When the aforementioned type-specific distributions are transformed into a single common distribution, the one or more type-specific evaluation values ​​are converted into a transformed evaluation value, The statistical value of the converted evaluation value is determined as the evaluation value, Includes.

[0130] The work management method relating to the seventh aspect is a work management method relating to any one of the first to sixth aspects, The aforementioned environmental indicator represents the degree of load on the target work device, Based on the aforementioned environmental indicators, the degree of load on the target work equipment is classified into multiple environmental groups, The system includes information representing the aforementioned environmental group and outputs maintenance information related to the maintenance of the target work device. Includes.

[0131] The work management method relating to the eighth aspect is a work management method relating to any one of the first to seventh aspects, The aforementioned environmental indicator represents the degree of load on the target work device, Based on the aforementioned environmental indicators, the necessity of maintenance for the target work equipment is determined. It also includes.

[0132] The work management method relating to the ninth aspect is a work management method relating to any one of the first to sixth aspects, Determining the aforementioned evaluation value means The evaluation value is determined as the ratio between the speed statistics, which represent the statistical value of the speed when the target work device performs work in the target area, and the rotational speed statistics, which represent the statistical value of the prime mover load. Includes, The aforementioned environmental indicators represent the severity of the working environment in the target area.

[0133] The work management system relating to the tenth aspect is: An evaluation value determination unit that determines an evaluation value representing the ratio between the speed of the target work device and the engine load when working in a field, An index determination unit determines the position of the evaluation value as an environmental index representing the severity of the working environment of the target work device, with respect to an overall distribution representing the distribution of the ratio between the speed and the engine load of multiple work devices having the same type as the target work device. It is equipped with.

[0134] The work management system according to the 11th aspect is a work management system according to the 10th aspect, Display unit for displaying information related to the aforementioned environmental indicators To further prepare.

[0135] The work management program relating to the 12th aspect is: To determine an evaluation value that represents the ratio between the speed of the target work equipment used in the field and the engine load, The position of the evaluation value is determined as an environmental index representing the severity of the working environment of the target work device, relative to the overall distribution representing the ratio of speed to engine load of multiple work devices of the same type as the target work device. The arithmetic unit is made to execute it. [Explanation of Symbols]

[0136] 1, 2: Storage medium 20: Network 30: Work equipment 100: Work management device 110: Input / Output Devices 120: Arithmetic device 130: Communication device 140: Storage device 150: Evaluation value determination unit 160: Indicator determination section 170:Environmental Classification Department 180: Maintenance Decision Department 190: Output section 200: Terminal 210: Input / Output Devices 220: Arithmetic device 230: Communication equipment 240: Storage device 250:Display section 400: Operational data 410: Evaluation data 420: Work Management Program 430: Display Program 500: Field 550: Travel route 560: Positioning location 600: Average value 610: Lower threshold 620: Upper threshold 650: Maintenance image 660: Reference value 1000: Work Management System

Claims

1. To determine an evaluation value that represents the ratio between the speed of the target work equipment used in the field and the engine load, The position of the evaluation value is determined as an environmental index representing the severity of the working environment of the target work device, relative to the overall distribution representing the ratio of speed to engine load of multiple work devices of the same type as the target work device. A work management method that includes this.

2. Determining the aforementioned evaluation value means The ratio of the speed statistics, which represent the statistical value of the speed of the target work device during the first period, to the rotational speed statistics, which represent the statistical value of the prime mover load, is determined as the evaluation value. Includes, The overall distribution represents the distribution of the ratio between the statistical values ​​of the speeds of the multiple work devices and the statistical values ​​of the engine load. The work management method according to claim 1.

3. The first period includes one or more periods of different types in which one or more types of work are performed by the target work device, and which represent periods in which the same type of work is performed. Determining the aforementioned evaluation value means The ratio of the speed statistics value and the rotational speed statistics value in each of the one or more specified period is determined as one or more specified evaluation values ​​for the one or more specified period. The evaluation value is determined based on each of the one or more type-specific evaluation values ​​and the work load value corresponding to the type of work performed by the target work device during the one or more type-specific period corresponding to the one or more type-specific evaluation values. The work management method according to claim 2, including the following:

4. The aforementioned workload value represents the ratio of the statistical value obtained by the ratio of the statistical value of speed and the statistical value of the prime mover load during the period in which the type of work performed by the plurality of work devices is the same as the type of work corresponding to the workload value, to the statistical value of the overall distribution. The work management method described in claim 3.

5. Determining the evaluation value based on each of the one or more type-specific evaluation values ​​and the workload value is: The evaluation value is determined by determining one or more statistical values ​​obtained by multiplying each of the one or more type-specific evaluation values ​​by the corresponding workload value. A work management method according to claim 3, including the following:

6. The first period includes one or more periods of different types in which one or more types of work are performed by the target work device, and which represent periods in which the same type of work is performed. The overall distribution has one or more type-specific distributions that represent one or more distributions separated for each type of work, Determining the aforementioned evaluation value means The ratio of the speed statistics value and the rotational speed statistics value in each of the one or more specified period is determined as one or more specified evaluation values ​​for the one or more specified period. When the aforementioned type-specific distributions are transformed into a single common distribution, the one or more type-specific evaluation values ​​are converted into a transformed evaluation value, The statistical value of the converted evaluation value is determined as the evaluation value, The work management method according to claim 2, including the following:

7. The aforementioned environmental indicator represents the degree of load on the target work device, Based on the aforementioned environmental indicators, the degree of load on the target work equipment is classified into multiple environmental groups, The system includes information representing the aforementioned environmental group and outputs maintenance information related to the maintenance of the target work device. A work management method according to any one of claims 1 to 6, further comprising:

8. The aforementioned environmental indicator represents the degree of load on the target work device, Based on the aforementioned environmental indicators, the necessity of maintenance for the target work equipment is determined. A work management method according to any one of claims 1 to 6, further comprising:

9. Determining the aforementioned evaluation value means The evaluation value is determined by the ratio of the speed statistics, which represent the statistical value of the speed when the target work device performs work in the target area, and the rotational speed statistics, which represent the statistical value of the prime mover load. Includes, The aforementioned environmental indicator represents the severity of the working environment in the target area. A work management method according to any one of claims 1 to 6.

10. An evaluation value determination unit that determines an evaluation value representing the ratio between the speed of the target work device and the engine load when working in a field, An index determination unit determines the position of the evaluation value as an environmental index representing the severity of the working environment of the target work device, relative to an overall distribution representing the distribution of the ratio between the speed and the engine load of multiple work devices having the same type as the target work device. A work management system equipped with the following features.

11. Display unit for displaying information related to the aforementioned environmental indicators The work management system according to claim 10, further comprising:

12. To determine an evaluation value that represents the ratio between the speed of the target work equipment used in the field and the engine load, The position of the evaluation value is determined as an environmental index representing the severity of the working environment of the target work device, relative to the overall distribution representing the ratio of speed to engine load of multiple work devices of the same type as the target work device. A task management program that instructs the computing unit to execute tasks.

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