Maintenance management method, maintenance management system, and maintenance management program

Abstract

To provide a maintenance management method, a maintenance management system, and a maintenance management program that prompts a user to perform maintenance in a timely manner.SOLUTION: A maintenance management method comprises a step of determining maintenance portions to be maintained among portions provided on a work device 30 on the basis of an actual operating time period during which the work device 30 had been actually operated. The maintenance management method also comprises a step of outputting maintenance information including image information representing a wear image 410 as of when the maintenance portion is worn out. Determining the maintenance portions may include determining virtual operating time periods according to loads on the portions provided on the work device 30 on the basis of operating information representing a state when the work device 30 is operating and the actual operating time period. Furthermore, determining the maintenance portions may include determining the maintenance portions on the basis of the virtual operating time periods.SELECTED DRAWING: Figure 8

Description

[Technical Field]

[0001] This invention relates to a maintenance management method, a maintenance management system, and a maintenance management program. [Background technology]

[0002] In recent years, research has been conducted on using information processing to determine the timing of maintenance on work equipment.

[0003] For example, Patent Document 1 discloses a technology for setting maintenance timings for each part of multiple work machines according to a virtual operating time that takes into account usage conditions. [Prior art documents] [Patent Documents]

[0004] [Patent Document 1] International Publication No. 2021 / 059832 [Overview of the project] [Problems that the invention aims to solve]

[0005] However, users tend to postpone maintenance due to the costs and workload involved in performing it.

[0006] In light of the above circumstances, one of the purposes of this disclosure is to encourage users to perform maintenance in a timely manner. 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 maintenance management method according to one embodiment for achieving the above objective includes determining the maintenance parts to be maintained from among the parts provided on the work device (30) based on the actual operating time of the work device (30). The maintenance management method also includes outputting maintenance information that includes image information representing a worn image (410) when the maintenance part is worn out.

[0009] A maintenance management system (1000) according to one embodiment for achieving the above objective comprises a part determination unit (180) and an output unit (190). The part determination unit (180) determines the maintenance part to be maintained from among the parts provided on the work device (30) based on the actual operating time of the work device (30). The output unit (190) outputs maintenance information including image information representing a worn image (410) when the maintenance part is worn out.

[0010] A maintenance management program (320) according to one embodiment for achieving the above objective causes the computing units (120, 220) to determine which maintenance parts are subject to maintenance from among the parts provided on the work device (30) based on the actual operating time of the work device (30). The maintenance management program (320) also causes the computing units (120, 220) to output maintenance information including image information representing a worn image (410) when the maintenance part is worn out. [Effects of the Invention]

[0011] According to the above form, it is possible to prompt the user to perform timely maintenance.

Brief Description of Drawings

[0012] [Figure 1] It is a schematic diagram of a maintenance management system in an embodiment. [Figure 2] In one embodiment, it is a diagram representing an operation time display image that is displayed on a terminal and shows the cumulative operation time of each part of a working device. [Figure 3] In one embodiment, it is a diagram representing a consumption image that is displayed on a terminal and shows the consumed parts of a working device. [Figure 4] It is a diagram showing the configuration of maintenance data in an embodiment. [Figure 5] It is a diagram showing the configuration of calculation formula data in an embodiment. [Figure 6] It is a diagram showing the configuration of maintenance timing data in an embodiment. [Figure 7] It is a diagram representing the functional blocks executed by a maintenance management system in an embodiment. [Figure 8] It is a flowchart showing the processing by a maintenance management system in an embodiment. [Figure 9] In one embodiment, it is a diagram for explaining a method of determining an operation score from the operation information of a working device. [Figure 10] In one embodiment, it is a diagram representing a screen for displaying a plurality of consumption images on a terminal.

Modes for Carrying Out the Invention

[0013] (Embodiment) A maintenance management system 1000 according to this embodiment of the present invention will be described with reference to the drawings. In this embodiment, as shown in Figure 1, the maintenance management system 1000 comprises a maintenance management device 100 and a terminal 200. The maintenance management device 100 is communicated with the terminal 200 and the work device 30 via a network 20, for example, the Internet.

[0014] The work device 30 acquires operational information representing the state of the work device 30 while it is working in the field, and transmits the acquired operational information to the maintenance management system 1000, for example, the maintenance management device 100. For example, the work device 30 is equipped with a positioning device, for example, a GNSS (Global Navigation Satellite System) receiver, and acquires position information representing the position at each time. The work device 30 also measures the actual operating time, for example, the time from when the engine is started until it is stopped. The position information and the time information representing the actual operating time are included in the operational information and transmitted to the maintenance management system 1000. The work device 30 includes, for example, a combine harvester, a tractor that tows work machinery, and a drone that sprays pesticides.

[0015] The maintenance management system 1000 notifies users, such as operators and owners of the work equipment 30, of maintenance information for each part of the work equipment 30 that has been used in the field. For example, as shown in Figure 2, the maintenance management system 1000 notifies users of the operating time, which is an indicator of the degree of wear and tear on each part of the harvesting machine, such as the threshing unit, cutting unit, storage unit, and travel unit. The operating time represents the cumulative time that the work equipment 30 has been in operation. For example, the maintenance management device 100 determines a virtual operating time corresponding to the load on each part, based on the state of the work equipment 30 when it is in operation and the actual operating time that the work equipment 30 has actually been in operation. Based on the determined virtual operating time, the maintenance management device 100 determines the timing of maintenance for each part of the work equipment 30.

[0016] However, users tend to postpone maintenance due to the maintenance costs and the workload involved in performing maintenance. Therefore, as shown in Figure 3, the maintenance management system 1000 displays a worn image 410 when a part that has reached its maintenance time is worn out, for example, an image of the worn-out parts that make up the part. For example, when the running section is composed of a continuous track, the maintenance management system 1000 displays a worn image 410 representing the worn-out parts of the continuous track, for example, the drive wheels that power the track and the road wheels that guide the track. The maintenance management system 1000 also notifies the user of events that occur when parts are worn out, such as the track coming off the drive wheels.

[0017] In this way, the maintenance management system 1000 shows users the consequences of delaying maintenance and encourages them to perform maintenance in a timely manner.

[0018] The operational information output by the work device 30 may include information representing the speed of the work device 30, steering angle, engine speed, ON / OFF status of various clutches, and work period. When the work device 30 is a vehicle that tows a work machine, such as a tractor, the operational information may include information such as the PTO (power take-off) rotation speed when transmitting power to the work machine, and hitch height and lift arm angle indicating the posture of the work machine. Furthermore, when the work device 30 is equipped with a motor, the operational information may also include the power consumption of the motor.

[0019] (Configuration of the maintenance management system) The configuration of the maintenance management device 100 of the maintenance management system 1000 shown in Figure 1 will be described. The maintenance management device 100 comprises an input / output device 110, an arithmetic unit 120, a communication device 130, and a storage device 140. The maintenance management device 100 is, for example, a computer. 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 includes various input and output devices, such as a keyboard, mouse, microphone, display, speaker, and touch panel. The input / output device 110 may be omitted.

[0020] The communication device 130 is electrically connected to the network 20 and communicates with each device via the network 20. The communication device 130 transfers operational information acquired from the work device 30 to the computing device 120. It also transfers signals generated by the computing device 120 to the terminal 200. The communication device 130 includes various interfaces such as a NIC (Network Interface Card) and a USB (Universal Serial Bus).

[0021] The storage device 140 stores various data for notifying the user of maintenance information, such as work performance data 300, maintenance data 310, and the maintenance management program 320. The storage device 140 is used as a non-transitory tangible storage medium for storing the maintenance management program 320. The maintenance management program 320 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.

[0022] The work performance data 300 stores operational information acquired from multiple work devices 30. The operational information is stored in association with the location information of the work devices 30, for example, location and time.

[0023] As shown in FIG. 4, the maintenance data 310 includes calculation formula data 311, maintenance timing data 312, and image data 313. In the calculation formula data 311, for example, as shown in FIG. 5, there is stored a formula for calculating the virtual operation time for each part from one or more operation coefficients k i The one or more operation coefficients k i are calculated based on the operation information. t represents the actual operation time indicating the cumulative time during which the corresponding working device 30 has operated. For example, the virtual operation time of part A is calculated by the function f A (k i , t), the virtual operation time of part B is calculated by the function f B (k i , t), and the virtual operation time of part C is calculated by the function f C (k i , t). The function f A (k i , T) corresponding to part A may be the same as or different from the function f B (k i , t) corresponding to part B.

[0024] As shown in FIG. 6, the maintenance timing data 312 represents the timing for maintaining the parts of the working device 30 and the number of times maintenance has been performed. For example, the maintenance timing data 312 stores the maintenance timing for each part. The maintenance timing represents, for example, the virtual operation time when maintaining a part. In FIG. 6, the maintenance timing represented by "part A" indicates that "part A" is maintained when the virtual operation time corresponding to "part A" is 100 hours, 200 hours, and 300 hours. The maintenance timing represented by "part B" indicates that "part B" is maintained when the virtual operation time corresponding to "part B" is 200 hours, 600 hours, and 1000 hours.

[0025] Image data 313 stores image information representing a worn-out image 410 when a part is worn out. For example, as shown in Figure 3, image data 313 stores image information representing an image of a worn-out road wheel, such as an image of a worn-out road wheel.

[0026] The arithmetic unit 120 shown in Figure 1 reads and executes the maintenance management program 320 from the storage device 140 and performs various data processing to notify the user of maintenance information. For example, the arithmetic unit 120 includes a central processing unit (CPU).

[0027] The arithmetic unit 120 reads and executes the maintenance management program 320, thereby realizing a data storage unit 150, a failure rate determination unit 160, a virtual operating time determination unit 170, a part determination unit 180, and an output unit 190, as shown in Figure 7. The data storage unit 150 stores work performance data 300 and maintenance data 310. The failure rate determination unit 160 determines the cumulative failure rate relative to the actual operating time based on the work performance data 300. The virtual operating time determination unit 170 determines the virtual operating time based on the work performance data 300 and the maintenance data 310. The part determination unit 180 determines the parts that should be maintained based on the determined virtual operating time and the cumulative failure rate. The output unit 190 outputs maintenance information regarding maintenance for each part of the work device 30.

[0028] As shown in Figure 1, terminal 200 comprises an input / output device 210, an arithmetic unit 220, a communication device 230, and a storage device 240. Terminal 200 includes, for example, a computer, a tablet, or a mobile phone. Information for processing to be performed by the arithmetic unit 220 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 includes various input and output devices, such as a keyboard, mouse, microphone, display, speaker, and touch panel.

[0029] The communication device 230 is electrically connected to the network 20 and communicates with each device via the network 20. The communication device 230 transfers signals acquired from the maintenance management device 100 to the computing device 220. It also transfers signals generated by the computing device 220 to the maintenance management device 100. The communication device 230 includes various interfaces such as transceivers used in wireless communication such as wireless LAN (Local Area Network) and cellular networks, NIC (Network Interface Card), and USB (Universal Serial Bus).

[0030] The storage device 240 stores various data for informing the user of maintenance information, such as a display program 330. The storage device 240 is used as a non-transitory tangible storage medium for storing the display program 330. The display program 330 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.

[0031] The arithmetic unit 220 reads and executes the display program 330, and in cooperation with the input / output device 210, as shown in Figure 7, realizes the display unit 250. The display unit 250 acquires maintenance information for each part of the work device 30 from the maintenance management device 100 and displays the maintenance information on the input / output device 210. For example, when the maintenance management device 100 notifies maintenance information using email, the display unit 250 includes software for viewing the email.

[0032] (Operation of the maintenance management system) The work device 30 shown in Figure 1 transmits operational information to the arithmetic unit 120 of the maintenance management device 100 when it performs work in the field. For example, when the work device 30 stops its engine, it transmits operational information from the time the engine was started until it was stopped to the arithmetic unit 120 of the maintenance management device 100. When the arithmetic unit 120 receives the operational information of the work device 30, it reads and executes the maintenance management program 320. By executing the maintenance management program 320, the arithmetic unit 120 starts the maintenance management method shown in Figure 8. The arithmetic unit 120 of the maintenance management device 100 may also read and execute the maintenance management program 320 when it receives a request signal from the arithmetic unit 220 of the terminal 200 requesting maintenance information for each part of the work device 30.

[0033] In step S110, the data storage unit 150, implemented by the arithmetic unit 120, stores the operational information acquired from the work device 30 in the work performance data 300. Based on the operational information, the data storage unit 150 calculates the actual operating time of the work device 30. For example, the data storage unit 150 extracts the start time when the engine was started and the stop time when it was stopped from the operational information, and calculates the actual operating time by adding the time from the extracted start time to the stop time to the past actual operating time.

[0034] Furthermore, the data storage unit 150 identifies the work device 30 that transmitted the operational information. For example, the data storage unit 150 identifies the source work device 30 from the operational information. Alternatively, the data storage unit 150 may identify the work device 30 from information representing the source of the operational information.

[0035] The calculated actual operating time is stored in the work performance data 300, associated with the acquired operating information and the identifier of the identified work device 30.

[0036] In step S120, the failure rate determination unit 160 determines the cumulative failure rate relative to the calculated actual operating time. For example, the failure rate determination unit 160 determines the cumulative failure rate relative to the actual operating time for each part of the multiple work devices 30, based on the part where a failure occurred and the actual operating time at which the failure occurred. For example, the failure rate determination unit 160 uses Weibull analysis to determine a relationship between the cumulative failure rate, which represents the probability of a part failing by each operating time, based on the distribution of operating times at which the parts failed. The failure rate determination unit 160 uses this relationship to determine the cumulative failure rate relative to the calculated actual operating time. Weibull analysis will be described later.

[0037] In step S130, the virtual operating time determination unit 170 calculates the operation information of the work equipment 30 in the field work based on the work performance data 300. The operation information represents, for example, statistical information regarding the operation information in the field work. The virtual operating time determination unit 170 calculates the operation information for all of the multiple work equipment 30. For example, the virtual operating time determination unit 170 calculates the operation information for all of the work performed in all fields for all of the multiple work equipment 30.

[0038] For example, when the operation information represents statistical information regarding the ON / OFF status of a given clutch, it represents the amount of time the given clutch was ON (engaged) per unit time during field work. Alternatively, the operation information may represent the total amount of time the given clutch was ON during field work. Furthermore, the operation information may represent the number of times per unit time the given clutch changed from the OFF state to the ON state during field work. The operation information may include all or some of these values.

[0039] For example, when the operation information represents statistical information regarding speed during field work, it represents the average, maximum, minimum, median, and variance of the speed of the work device 30 during field work.

[0040] In step S140, the virtual operating time determination unit 170 determines the operating coefficient k based on the calculated operating information.i The operating coefficient k is calculated. i This represents the position of the operation information of the target work device 30 in the distribution of operation information, and is calculated, for example, by mathematical calculation processing from the distribution of operation information of multiple work devices 30 and the operation information of the target work device 30. Therefore, the operating coefficient k i This represents the relative position of the operational information of the target working device 30 among multiple working devices 30, for example, working devices 30 of the same type.

[0041] For example, it is assumed that the distribution of operation information for each work device 30 approximates a normal distribution. Therefore, the virtual operating time determination unit 170 first standardizes the distribution of operation information for each work device 30 and converts it into a distribution with a mean of 0 and a variance of 1. Specifically, the virtual operating time determination unit 170 converts the operation information for each work device 30 into standard operation information using equation (1).

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[0042] The mean μ and standard deviation α of the operation information may be calculated using all or some of the operation information from the multiple work devices 30. For example, the virtual operating time determination unit 170 may calculate the mean μ and standard deviation α by excluding operation information that satisfies exclusion conditions from the calculated operation information. For example, the exclusion conditions include operation information of a work device 30 whose actual operating time is below a threshold. In this case, the mean μ and standard deviation α are calculated by excluding the operation information of the work device 30 whose actual operating time is below a threshold. The exclusion conditions may also include operation information that falls within a predetermined range. The predetermined range represents a predetermined percentage of the operation information from the top, for example, 5%. The predetermined range also represents a predetermined percentage of the operation information from the bottom, for example, 5%. The exclusion conditions may include multiple conditions, and satisfying any one of the multiple conditions is also acceptable.

[0043] Next, the virtual uptime determination unit 170 calculates an operation score based on the standard operation information. As shown in Figure 9, the operation score is determined by identifying two adjacent thresholds from among several thresholds that sandwich the standard operation information, and using the two identified thresholds. Specifically, when the standard operation information is less than Z1, the operation score is calculated as "1". When the standard operation information is greater than or equal to Z1 and less than Z2, the operation score is calculated as "2". When the standard operation information is greater than or equal to Z2 and less than Z3, the operation score is calculated as "3". When the standard operation information is greater than or equal to Z3 and less than Z4, the operation score is calculated as "4". When the standard operation information is greater than or equal to Z4 and less than Z5, the operation score is calculated as "5". When the standard operation information is greater than or equal to Z5 and less than Z6, the operation score is calculated as "6". When the standard operation information is greater than or equal to Z6 and less than Z7, the operation score is calculated as "7". When the standard operation information is greater than or equal to Z7 and less than Z8, the operation score is calculated as "8". When the standard operating information is Z8 or higher and less than Z9, the operating score is calculated as "9". 10 When it is smaller, the operating score is calculated as "10". Standard operating information is Z 10 That's all, and Z 11 When it is smaller, the operating score is calculated as "11". Standard operating information is Z 11 When the above conditions are met, the performance score is calculated as "12".

[0044] From Z1 to Z 11 This is set based on the number of work devices 30 assigned to the standard operation information assigned to each operation score. For example, Z1 is set to -1.65 so that the percentage of work devices 30 that result in an operation score of "1" is 5%. Z2 is set to -1.04 so that the percentage of work devices 30 that result in an operation score of "2" is 10%. Z3 to Z 11 Also, the proportion of work devices 30 included in each operation score is set to 10%. For example, Z3 represents -0.68, Z4 represents -0.39, Z5 represents -0.13, Z6 represents 0, Z7 represents 0.13, Z8 represents 0.39, Z9 represents 0.68, Z10 This represents 1.04, Z 11 This represents 1.65.

[0045] Next, the virtual uptime determination unit 170 calculates the operating coefficient based on the calculated operating score. For example, the virtual uptime determination unit 170 calculates the operating coefficient by normalizing the operating score. The virtual uptime determination unit 170 may normalize the operating coefficient so that the maximum and minimum values ​​are predetermined values. Specifically, the virtual uptime determination unit 170 calculates the operating coefficient using equation (2).

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[0046] In step S150 shown in Figure 8, the virtual operating time determination unit 170 calculates the operating coefficient k i Then, based on the actual operating time and the calculation formula data 311 shown in Figure 5, the virtual operating time is calculated for each part. For example, the virtual operating time for part A is calculated using the function f A (k i The virtual operating time of part B is calculated by (t), and the function f B (k i The virtual operating time of part C is calculated by (t), and the function f C (k iIt is calculated by ( , t), where t represents the actual operating time of the corresponding work device 30. Therefore, the virtual operating time represents the operating time of each part in multiple work devices 30, for example, identical work devices 30, according to the relative load. For example, in a given part, the larger the load of the target work device 30 compared to the load of other work devices 30, the greater the virtual operating time will be.

[0047] In step S160 shown in Figure 8, the part determination unit 180 determines the maintenance parts that will be maintained based on the virtual operating time. First, the part determination unit 180 determines the next maintenance timing for each part based on the maintenance timing data 312 shown in Figure 6.

[0048] For example, the example shown in Figure 6 indicates that since the maintenance count for "Part A" is "1", the next maintenance period for "Part A" will be 200 hours. Since the maintenance count for "Part B" is "1", the maintenance period for "Part B" will be 600 hours. Since the maintenance count for "Part C" is "2", the maintenance period for "Part C" will be 500 hours.

[0049] Next, the part determination unit 180 compares the virtual operating time with the maintenance time for each part to determine the maintenance part that will be maintained. For example, the part determination unit 180 determines a part as a maintenance part if its virtual operating time has reached the maintenance time. Alternatively, the part determination unit 180 may determine a part as a maintenance part if its virtual operating time has reached a time obtained by subtracting a predetermined amount of time from the maintenance time.

[0050] Furthermore, when the virtual operating time is less than the actual operating time, the part determination unit 180 may determine the maintenance part based on the cumulative failure rate calculated using the actual operating time. Since the virtual operating time represents the operating time that reflects the relative load on the multiple work devices 30, it may represent a time that is small compared to the degree of wear on the part. For this reason, the part determination unit 180 determines the maintenance part based on the cumulative failure rate calculated directly from the actual operating time.

[0051] For example, the part determination unit 180 maintains a maintenance failure rate that represents the cumulative failure rate at which maintenance should be performed for each part, and compares the cumulative failure rate for each part determined by the failure rate determination unit 160 with the maintenance failure rate to determine the parts to be maintained. For example, the maintenance failure rate is stored in the storage device 140. The part determination unit 180 reads the maintenance failure rate from the storage device 140 and searches for parts where the cumulative failure rate is greater than the maintenance failure rate. The part determination unit 180 determines the searched parts as parts to be maintained.

[0052] In step S170 shown in Figure 8, the output unit 190 outputs maintenance information representing the determined maintenance area and a worn image 410 of the maintenance area when it is worn out. For example, based on the maintenance area, the output unit 190 obtains a worn image 410 of the maintenance area from the image data 313 shown in Figure 4. The output unit 190 outputs maintenance information including image information representing the obtained worn image 410 to the terminal 200. The maintenance information also includes operating time information representing the virtual operating time for each area. The output unit 190 may also hold failure information representing events that occur when the maintenance area is worn out, and include the failure information in the maintenance information.

[0053] In step S180 shown in Figure 8, the display unit 250 of the terminal 200 displays the acquired maintenance information for the work device 30. For example, the display unit 250 extracts the virtual operating time for each part from the maintenance information and displays the operating time display image 400 shown in Figure 2 on the input / output device 210. The display unit 250 also extracts a wear image 410 for a worn maintenance part from the maintenance information and displays the wear image 410 as shown in Figure 3. Furthermore, if the maintenance information includes fault information, the display unit 250 displays the fault information that represents the event that occurs when a maintenance part is worn out.

[0054] This allows users to identify the issues that can arise from delaying maintenance. In this way, the maintenance management system 1000 encourages users to perform maintenance in a timely manner.

[0055] (Weibull analysis) Weibull analysis is a method for determining the cumulative failure rate, which represents the probability of a part failing by each operating time, based on the distribution of operating times during which parts of the work device 30 failed. For example, a graph is created showing the distribution of operating times during which failures occurred for each part of the work device 30. The horizontal axis of this graph represents operating time, and the vertical axis represents the cumulative failure rate, which shows the proportion of work devices 30 that have experienced failures by the operating time shown on the horizontal axis. For example, the vertical axis represents the value shown in equation (3) for the cumulative failure rate F.

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[0056] Based on the distribution shown in this graph, the failure rate determination unit 160 determines the constants a and b in equation (5), which represents an approximate straight line for this distribution.

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[0057] (modified version) The configuration described in the embodiment is just one example, and the configuration can be changed within the scope that does not impede functionality. For example, the maintenance management system 1000 may inform the user of the cumulative failure rate of the work device 30 and the maintenance failure rate, which represents the cumulative failure rate when maintenance should be performed, for each part. In this case, the output unit 190 of the maintenance management device 100 outputs maintenance information including information representing the cumulative failure rate and the maintenance failure rate in step S170 shown in Figure 8. The display unit 250 of the terminal 200 displays the cumulative failure rate and the maintenance failure rate in a comparable manner in step S180. This allows the user to understand the possibility of failure in relation to actual operating time.

[0058] Furthermore, the maintenance management system 1000 may also inform the user of the replacement failure rate, which represents the cumulative failure rate at which parts should be replaced for each component. In this case, the output unit 190 of the maintenance management device 100 outputs maintenance information including information representing the cumulative failure rate, the maintenance failure rate, and the replacement failure rate in step S170 shown in Figure 8. The display unit 250 of the terminal 200 displays the cumulative failure rate, the maintenance failure rate, and the replacement failure rate in a comparable manner in step S180. This allows the user to understand the likelihood of failure in relation to actual operating time.

[0059] Although an example is shown where the part provided on the work device 30 includes multiple parts, the example is not limited to this, and the part may represent a single component, such as a clutch or a belt. For example, the calculation formula data 311 shown in Figure 5 may include a formula for calculating the virtual operating time for each part. For this reason, in step S150 shown in Figure 8, the virtual operating time determination unit 170 determines the operating coefficient ki Then, based on the actual operating time and the calculation formula data 311 shown in Figure 5, a virtual operating time is calculated for each part. In step S160, the part determination unit 180 determines the parts that have reached their maintenance time as maintenance parts, based on the virtual operating time and the maintenance timing data 312. Here, the operating time for each part is the operating time of the part containing the part, for example, the running part of a harvester. In addition, the maintenance timing data 312 shown in Figure 6 may include the timing of maintenance for each part and the number of times maintenance has been performed.

[0060] For example, the display unit 250 of the terminal 200 may further display losses, such as the time required for repairs, when an event occurs due to wear and tear of a maintenance part, such as a malfunction. For example, the display unit 250 displays the loss caused by an event, associated with malfunction information that represents an event that occurs when a maintenance part is worn out. For example, as an event that occurs due to wear and tear of a maintenance part, when the road wheels are worn out, the tracks may come off the road wheels. In this case, the display unit 250 displays the time required to restore the tracks as the loss caused by the wear and tear of the maintenance part and informs the user. Also, when the first rice husk transfer conveyor is worn out, the rice husks may become clogged and unable to be transferred. In this case, the display unit 250 displays the time required to clear the rice husk clog as the loss caused by the wear and tear of the first rice husk transfer conveyor. The maintenance management device 100 encourages the user to perform maintenance in a timely manner by informing the user of the losses caused by wear and tear of maintenance parts.

[0061] When the display unit 250 displays a loss, in step S170 shown in Figure 8, the output unit 190 of the maintenance management device 100 outputs maintenance information to the terminal 200, which includes fault information and loss information representing the loss incurred when an event occurs due to wear and tear of the maintenance part. The loss information is held in the output unit 190 in association with the fault information. Therefore, the output unit 190 outputs the fault information corresponding to the worn-out maintenance part and the loss information corresponding to the fault information to the terminal 200. In step S180, the display unit 250 of the terminal 200 displays the fault information and the loss information, informing the user of the event caused by wear and tear of the maintenance part and the loss incurred when that event occurs.

[0062] The display unit 250 of the terminal 200 may display secondary failure information in addition to failure information, representing secondary failures that may occur when events caused by wear and tear of maintenance parts occur. For example, if a track comes off the wheel, the track may be damaged. Therefore, the display unit 250 displays secondary failure information indicating that the track may be damaged as a secondary failure that occurs when a track comes off the wheel. Also, if rice becomes jammed in the first rice transfer conveyor, the second rice transfer conveyor may be damaged. Therefore, the display unit 250 displays secondary failure information indicating that the second rice transfer conveyor may be damaged as a secondary failure. The maintenance management device 100 prompts the user to perform timely maintenance by notifying the user of secondary failures caused by wear and tear of maintenance parts.

[0063] When the display unit 250 displays a loss, in step S170 shown in Figure 8, the output unit 190 of the maintenance management device 100 outputs maintenance information, including fault information and secondary fault information, to the terminal 200. The secondary fault information is held in the output unit 190 in association with the fault information. The output unit 190 outputs the fault information and the secondary fault information corresponding to the fault information to the terminal 200. In step S180, the display unit 250 of the terminal 200 displays the fault information and secondary fault information, informing the user of the events caused by wear and tear on the maintenance parts and the secondary faults that may occur when those events occur.

[0064] Furthermore, the display unit 250 of the terminal 200 may display a new image representing the maintenance part before use for comparison with the worn image 410. The user can confirm the need for maintenance by comparing the maintenance part before use with the worn maintenance part. In this case, the information representing the new image is held in the output unit 190 of the maintenance management device 100 and included in the maintenance information, which is output from the output unit 190 to the terminal 200. The display unit 250 of the terminal 200 displays the new image and the worn image 410 in a comparable manner. For example, the display unit 250 displays the new image and the worn image 410 side by side.

[0065] Furthermore, the display unit 250 of the terminal 200 may display multiple wear images 410 related to the maintenance part. Each of the multiple wear images 410 displayed on the display unit 250 may represent a different degree of wear on the maintenance part. For example, as shown in Figure 10, the display unit 250 may display a first wear image 510 of the maintenance part when operating under an average load and a second wear image 520 of the maintenance part when operating under a high load. For example, the first wear image 510 and the second wear image 520 represent the maintenance part after operating for the same amount of time, for example, 500 hours. In addition, the multiple wear images 410 displayed by the display unit 250 may represent the maintenance part after operating for a time corresponding to multiple failure rates. For example, the display unit 250 may display a wear image representing a maintenance part that has operated for a time indicating a 90% failure rate and a wear image representing a maintenance part that has operated for a time indicating a 50% failure rate. In this case, the image information representing the multiple consumable images 410 is stored, for example, in the image data 313 of the maintenance management device 100 and output from the output unit 190 to the terminal 200.

[0066] Furthermore, as shown in Figure 10, when the display unit 250 of the terminal 200 displays multiple consumable images 410, it may also display target information 530 indicating the consumable image 410 that best represents the maintenance part of the target work device 30. For example, when the condition of the maintenance parts of the work device 30 is similar to that of a high-load operation, the display unit 250 displays target information 530 indicating that the maintenance part of the work device 30 is similar to the second consumable image 520 that represents the maintenance part of a high-load operation. The target information 530 may use any display format to indicate the corresponding consumable image 410. For example, the target information 530 may display a notation representing the target work device 30, such as "Target Machine," around the corresponding consumable image 410, or it may highlight the outline of the corresponding consumable image 410.

[0067] The embodiments and modifications described above are examples, and the configurations described in each embodiment and modification may be arbitrarily changed and / or combined as long as they do not impede the function. Furthermore, some of the functions described in the embodiments and modifications may be omitted if the necessary functions can be realized. For example, the maintenance management system 1000 shown in Figure 1 does not have to include a terminal 200. For example, the maintenance management device 100 may output maintenance information to a terminal not included in the maintenance management system 1000. All or part of the processing of the maintenance management device 100 may be executed by the maintenance management device 100 or the terminal 200. The maintenance management program 320 may include a display program 330. Also, the part determination unit 180 may determine the maintenance part from virtual operating time only, or from cumulative failure rate only. The cumulative failure rate may be determined without using Weibull analysis.

[0068] (Note) The maintenance management method, maintenance management system, and maintenance management program described in each embodiment can be described as follows.

[0069] The maintenance management method relating to the first aspect is: Based on the actual operating time of the work device, the maintenance parts that are subject to maintenance are determined from among the parts provided on the work device. Outputting maintenance information that includes image information representing a worn image of the maintenance part when it is worn out, Includes.

[0070] The maintenance management method relating to the second aspect is the maintenance management method relating to the first aspect, Determining the maintenance area means Based on the operating information representing the state when the work device is in operation and the actual operating time, a virtual operating time corresponding to the load on the part provided on the work device is determined. Based on the aforementioned virtual operating time, the maintenance area is determined, Includes.

[0071] The maintenance management method relating to the third aspect is the maintenance management method relating to the first aspect, Determining the maintenance area means The maintenance area is determined based on the cumulative failure rate corresponding to the actual operating time. Includes.

[0072] The maintenance management method relating to the fourth aspect is the maintenance management method relating to the second aspect, Determining the maintenance area means When the virtual operating time is less than the actual operating time, the maintenance parts are determined based on the cumulative failure rate corresponding to the actual operating time. When the virtual operating time is equal to or greater than the actual operating time, the maintenance area is determined based on the virtual operating time. Includes.

[0073] The maintenance management method relating to the fifth aspect is a maintenance management method relating to the third or fourth aspect, Determining the maintenance area means The maintenance part is determined by comparing the cumulative failure rate with the maintenance failure rate when maintenance should be performed. Includes.

[0074] The maintenance management method relating to the sixth aspect is the maintenance management method relating to the fifth aspect, The maintenance information includes information representing the cumulative failure rate and the maintenance failure rate.

[0075] The seventh aspect of the maintenance management method is a maintenance management method relating to any one of the first to fourth aspects, The maintenance information further includes displaying the worn-out image.

[0076] The maintenance management method relating to the eighth aspect is a maintenance management method relating to any one of the first to seventh aspects, The aforementioned maintenance information includes information representing a new image of the maintenance part before use.

[0077] The maintenance management method relating to the ninth aspect is a maintenance management method relating to any one of the first to eighth aspects, The aforementioned maintenance information includes failure information that represents events that occur when the maintenance part is worn out.

[0078] The maintenance management method relating to the 10th aspect is the maintenance management method relating to the 9th aspect, The aforementioned maintenance information includes loss information representing the losses incurred when the event described in the failure information occurs.

[0079] The maintenance management method relating to the 11th aspect is a maintenance management method relating to the 9th or 10th aspect, The aforementioned maintenance information includes secondary failure information representing secondary failures that may occur when the event described in the aforementioned failure information occurs.

[0080] A maintenance management method relating to the 12th aspect is a maintenance management method relating to the 1st or 11th aspect, The aforementioned image information represents a plurality of wear images, each showing a different degree of wear on the maintenance part.

[0081] The maintenance management system relating to the 13th aspect is: A part determination unit determines which maintenance part to be maintained among the parts provided on the work device, based on the actual operating time of the work device. An output unit that outputs maintenance information including image information representing a worn image when the maintenance part is worn out, It is equipped with.

[0082] The maintenance management program relating to the 14th aspect is: Based on the actual operating time of the work device, the maintenance parts that are subject to maintenance are determined from among the parts provided on the work device. Outputting maintenance information that includes image information representing a worn image of the maintenance part when it is worn out, The arithmetic unit is made to execute it. [Explanation of Symbols]

[0083] 1, 2: Storage medium 20: Network 30: Work equipment 100: Maintenance management device 110: Input / Output Devices 120: Arithmetic device 130: Communication device 140: Storage device 150: Data storage unit 160:Failure rate determination section 170: Virtual uptime determination unit 180: Part determination part 190: Output section 200: Terminal 210: Input / Output Devices 220: Arithmetic device 230: Communication equipment 240: Storage device 250:Display section 300: Work performance data 310: Maintenance data 311: Calculation formula data 312: Maintenance Schedule Data 313: Image data 320: Maintenance Management Program 330: Display Program 400: Operating time display image 410: Consumable image 510: First consumable image 520: Second consumable image 530: Target Information 1000: Maintenance Management System

Claims

1. Based on operating information representing the state of a work device when it is in operation, an operating coefficient is determined in the distribution of the operating information of a work device in a plurality of work devices including the work device, which represents the position of the operating information of the work device. The virtual operating time corresponding to the load on the parts provided on the work device is determined using a function that takes the operating coefficient and the actual operating time of the work device as arguments, The virtual operating time is compared with the maintenance timing for the parts of the work apparatus to determine which parts of the work apparatus are subject to maintenance. Outputting maintenance information that includes image information representing a worn image of the maintenance part when it is worn out, A maintenance management method that includes the execution of a calculation unit.

2. A maintenance part to be maintained is determined by comparing the cumulative failure rate of a part of the work device corresponding to the actual operating time of the work device with the maintenance failure rate of the part of the work device that should be maintained, Outputting maintenance information that includes image information representing a worn image of the maintenance part when it is worn out, A maintenance management method that includes the execution of a calculation unit.

3. Determining the maintenance area means When the virtual operating time is less than the actual operating time, the maintenance part is determined by comparing the cumulative failure rate corresponding to the actual operating time of the part of the work device with the maintenance failure rate when maintenance should be performed on that part of the work device. When the virtual operating time is equal to or greater than the actual operating time, the maintenance area is determined based on the virtual operating time. A maintenance management method according to claim 1, including the following:

4. The maintenance management method according to claim 2 or 3, wherein the maintenance information includes information representing the cumulative failure rate and the maintenance failure rate.

5. The maintenance management method according to any one of claims 1 to 3, further comprising the arithmetic unit performing the operation of displaying the consumable image as maintenance information.

6. The maintenance management method according to any one of claims 1 to 3, wherein the maintenance information includes information representing a new image of the maintenance part before use.

7. The maintenance management method according to any one of claims 1 to 3, which includes the maintenance information, failure information representing an event that occurs when the maintenance part is worn out.

8. The maintenance management method according to claim 7, which includes loss information representing the loss incurred when the event described in the failure information occurs.

9. The maintenance management method according to claim 7, which includes secondary failure information representing secondary failures that may occur when the event described in the failure information occurs.

10. The maintenance management method according to any one of claims 1 to 3, wherein the image information represents a plurality of wear images in which the degree of wear of the maintenance part differs from one another.

11. A virtual operating time determination unit that determines an operating coefficient representing the position of the operating information of a work device in the distribution of the operating information of a plurality of work devices including the work device, based on operating information representing the state of the work device when it is in operation, and determines a virtual operating time corresponding to the load on a part provided on the work device using a function that takes the operating coefficient and the actual operating time of the work device as arguments, A part determination unit that compares the virtual operating time with the maintenance timing for the part of the work device to determine which part of the work device is subject to maintenance, An output unit that outputs maintenance information including image information representing a worn image when the maintenance part is worn out, A maintenance management system equipped with the following features.

12. A part determination unit determines which of the parts of the work device to be maintained by comparing the cumulative failure rate of a part of the work device corresponding to the actual operating time of the work device with the maintenance failure rate of a part of the work device that should be maintained, An output unit that outputs maintenance information including image information representing a worn image when the maintenance part is worn out, A maintenance management system equipped with the following features.

13. Based on operating information representing the state of the working device when it is in operation, an operating coefficient representing the position of the operating information of the working device in the distribution of the operating information of a plurality of working devices including the working device is determined. The virtual operating time corresponding to the load on the parts provided on the work device is determined using a function that takes the operating coefficient and the actual operating time of the work device as arguments, The virtual operating time is compared with the maintenance timing for the parts of the work apparatus to determine which parts of the work apparatus are subject to maintenance. Outputting maintenance information that includes image information representing a worn image of the maintenance part when it is worn out, A maintenance management program that causes the computing unit to execute a command.

14. The cumulative failure rate in the part where the work device is installed, corresponding to the actual operating time of the work device, is compared with the maintenance failure rate when maintenance should be performed on that part of the work device, in order to determine which part of the work device is subject to maintenance. Outputting maintenance information that includes image information representing a worn image of the maintenance part when it is worn out, A maintenance management program that causes the computing unit to execute a command.

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