Maintenance suggestion method, maintenance suggestion system, and maintenance suggestion program

Abstract

The present invention can flexibly use information such as operation information and suggest a maintenance work device at an appropriate time. The maintenance suggestion method includes: a step (S01) of acquiring operation information indicating a result of measuring an operation parameter as an operation state when a work device (2) works in a field (9); a step (S03) for extracting, for each combination of the type of the work device, the field, the type of the work, and the type of the crop to which the work device performs work in the field, a harsh field on which harsh work satisfying a predetermined harsh condition is performed, on the basis of the operation information and a representative value of the past operation information acquired in the combination, and for each combination of the type of the work device, the field, the type of the work, and the type of the crop to which the work device performs work in the field; and a step (S05) for outputting, for each work device, a maintenance suggestion signal for suggesting maintenance of the work device when a harsh work time indicating the total time for performing work in the harsh field and a total work time, which is the total time for performing work in any field, satisfy a predetermined suggestion condition.

Description

Technical Field

[0001] The present invention relates to a maintenance recommendation method, a maintenance recommendation system, and a maintenance recommendation program, and is preferably used to recommend maintenance of a working device for performing agricultural work in a field at an appropriate time, for example. Background Art

[0002] Patent document 1 (Japanese Patent Application Publication No. 2022-168500) discloses a work management method. In this work management method, work efficiency indicating the amount of work performed per unit time is calculated based on operation information of work devices performing work such as harvesting sugarcane in a field. In addition, in this work management method, the time when work performed on a plurality of fields is completed is estimated based on the work efficiency of each work device.

[0003] Prior art literature

[0004] Patent Literature

[0005] Patent Document 1: Japanese Patent Application Publication No. 2022-168500 Summary of the invention

[0006] It is necessary to maintain the working device at an appropriate time. For example, if the work performed by the working device is more severe, it is preferred to advance the time for maintenance. However, the work management method of Patent Document 1 cannot be flexibly used to collect information such as operation information and work efficiency while maintaining the working device at an appropriate time.

[0007] In view of the above situation, one of the purposes of the present disclosure is to provide a maintenance recommendation method, a maintenance recommendation system, and a maintenance recommendation program for providing maintenance advice for a device at an appropriate time by utilizing operation information and the like. Other issues and new features can be understood from the description and drawings of this specification.

[0008] Hereinafter, the method for solving the problem will be described using the numbers / figure marks used in the specific embodiments. These numbers / figure marks are added in brackets as an example to indicate the correspondence between the description in the claims and the specific embodiments. Therefore, the description in brackets should not be interpreted as limiting the scope of the claims.

[0009] According to one embodiment, a maintenance recommendation method includes the following step (S01): obtaining operation information indicating the result of measuring an operation parameter as the operation status of a work device (2) when working in a field (9). The maintenance recommendation method also includes the following step (S03): for each combination of the type of the work device (2), the field (9), the type of work, and the type of crop as the object of the work device (2) working in the field (9), extracting a severe field where a severe work that satisfies a prescribed severe condition is performed based on the operation information and a representative value of the previous operation information obtained in the combination. The maintenance recommendation method also includes the following step (S05): for each work device (2), when the severe work time indicating the total time of working in the severe field and the total work time as the total time of working in any field (9) meet the prescribed recommendation condition, outputting a maintenance recommendation signal for recommending maintenance of the work device (2).

[0010] According to one embodiment, a maintenance recommendation system (1) includes an acquisition unit (521), an extraction unit (522), and a recommendation unit (524). The acquisition unit (521) acquires operation information indicating a result of measuring an operation parameter as an operation status of a work device (2) when working in a field (9). The extraction unit (522) extracts a severe field where a severe operation that satisfies a prescribed severe condition is performed based on the operation information and a representative value of the previous operation information acquired in the combination for each combination of the type of the work device (2), the field (9), the type of operation, and the type of crop that the work device (2) works on in the field (9). The recommendation unit (524) outputs a maintenance recommendation signal for recommending maintenance of the work device (2) when the severe operation time indicating the total time of working in the severe field and the total operation time as the total time of working in any field (9) satisfy prescribed recommendation conditions for each work device (2).

[0011] According to one embodiment, a maintenance recommendation program is used to be executed by a computing device (52) to implement a prescribed process. The process includes the following step (S01): as the operating status of a working device (2) when working in a field (9), operating information indicating the result of measuring an operating parameter is obtained. The process also includes the following step (S03): for each combination of the type of working device (2), the field (9), the type of work, and the type of crop as the object of the working device (2) working in the field (9), a severe field in which a severe work satisfying prescribed severe conditions is performed is extracted based on the operating information and a representative value of the previous operating information obtained in the combination. The process also includes the following step (S05): for each working device (2), when the severe work time indicating the total time of working in the severe field and the total work time as the total time of working in any field (9) satisfy prescribed recommendation conditions, a maintenance recommendation signal is outputted to recommend maintenance of the working device (2).

[0012] Effects of the Invention

[0013] According to one embodiment, it is possible to utilize information such as operation information and recommend maintenance of the work device at an appropriate time. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a diagram showing a configuration example of a maintenance recommendation system according to an embodiment.

[0015] Figure 2 This is a block circuit diagram showing a configuration example of a maintenance recommendation device according to an embodiment.

[0016] Figure 3 This is a flowchart showing an example of processing of a maintenance recommendation method according to an embodiment.

[0017] Figure 4 This is a table showing an example of information accumulated regarding work efficiency and average vehicle speed in one embodiment.

[0018] Figure 5 This is a table showing an example of information accumulated regarding work efficiency and average vehicle speed in one embodiment.

[0019] Figure 6 This is a table showing an example of information accumulated regarding work efficiency and average vehicle speed in one embodiment.

[0020] Description of Reference Numerals

[0021] 1…maintenance suggestion system; 2…operating device; 21…mounted terminal; 3…database; 4…network; 5…maintenance suggestion device; 51…bus; 52…calculation device; 521…acquisition unit; 522…extraction unit; 523…judgment unit; 524…suggestion unit; 53…storage device; 530…recording medium; 531…program storage unit; 532…data storage unit; 54…communication device; 55…input / output device; 6…external terminal; 9…field DETAILED DESCRIPTION

[0022] Hereinafter, a method for implementing the maintenance recommendation method, the maintenance recommendation system, and the maintenance recommendation program according to the present disclosure will be described with reference to the accompanying drawings.

[0023] (Implementation Method)

[0024] like Figure 1 As shown, a maintenance recommendation system 1 according to an embodiment includes a maintenance recommendation device 5. The maintenance recommendation system 1 may further include a part or all of an onboard terminal 21, a database 3, and an external terminal 6. The maintenance recommendation device 5, the onboard terminal 21, the database 3, and the external terminal 6 may be connected to the network 4 by wired communication and / or wireless communication.

[0025] The mounting terminal 21 is mounted on the working device 2. The working device 2 performs agricultural work such as harvesting crops grown in the field 9 while moving on the ground. As an example, the working device 2 may be a working vehicle such as a combine harvester that performs harvesting work, or a tractor that tows a working machine that performs harvesting work.

[0026] The onboard terminal 21 generates operating information indicating the results of measuring various operating parameters as the operating status of the working device 2 when working in the field 9. The operating information also includes position information measuring the positions that the working device 2 passes through at multiple times while working in the field 9. The position can be measured using GNSS (Global Navigation Satellite System) or a quantum compass that does not require an external auxiliary system such as an artificial satellite. The position information includes positioning time information indicating the positioning time measured at each position. The onboard terminal 21 sends the operating information to the maintenance recommendation device 5.

[0027] The database 3 stores various data and provides data in response to a request from the maintenance suggestion device 5. The data stored in the database 3 may include the following information, among others: field information indicating the location, shape, area, etc. of the field 9; work device information indicating the type of work device 2; crop information indicating the type of crops grown in the field 9; and work information indicating the type of work performed by the work device 2 in the field 9. Figure 1 As shown, the database 3 can communicate with the maintenance recommendation device 5 via the network 4, but the present invention is not limited to this example. As an example, the database 3 and the maintenance recommendation device 5 can be integrated.

[0028] The maintenance recommendation device 5 outputs a maintenance recommendation signal for recommending maintenance of the work device 2 when a predetermined condition is satisfied for the work device 2 based on the operation information received from the onboard terminal 21 and various data received from the database 3. As an example, the maintenance recommendation signal may be transmitted to the external terminal 6 via the network 4.

[0029] The external terminal 6 may include a smartphone, a tablet terminal, a personal computer, etc. having a communication function, a display function, and an input function. The external terminal 6 displays the content of the maintenance recommendation signal received from the maintenance recommendation device 5 and notifies the user. In addition, the user can operate the external terminal 6 to control the operation of the maintenance recommendation device 5 and part or all of the onboard terminal 21, and can also compile various data stored in the database 3.

[0030] like Figure 2 As shown, the maintenance recommendation device 5 according to one embodiment may be configured as a so-called computer. Figure 2 In the example of , the maintenance suggestion device 5 includes a bus 51, a computing device 52, a storage device 53, a communication device 54, and an input / output device 55. The bus 51 can be configured to enable communication among the computing device 52, the storage device 53, the communication device 54, and the input / output device 55.

[0031] The computing device 52 executes the maintenance recommendation program according to one embodiment to realize the functions of the acquisition unit 521, the extraction unit 522, the determination unit 523, and the recommendation unit 524. The acquisition unit 521, the extraction unit 522, the determination unit 523, and the recommendation unit 524 are virtual functional modules that execute the processing realized by the computing device 52 and the storage device 53 in cooperation. The acquisition unit 521 acquires operation information indicating the operation parameters when the working device 2 performs work in the field 9. The extraction unit 522 extracts a severe field where a severe work is performed from the field 9, and the severe work is a work that satisfies a predetermined severe condition among the works performed by the working device 2 in the field 9. The determination unit 523 determines whether the severe work time indicating the total time of working in the severe field and the total work time as the total time of working in any field 9 satisfy a predetermined recommendation condition for each working device 2. When the severe work time and the total work time satisfy the recommendation condition, the recommendation unit 524 outputs a maintenance recommendation signal for recommending maintenance of the working device 2.

[0032] The storage device 53 includes a program storage unit 531 and a data storage unit 532. The maintenance recommendation program can be read from an external recording medium 530 and stored in the program storage unit 531. The recording medium 530 can be a non-transitory and tangible media. The data storage unit 532 can store the operation information obtained from the onboard terminal 21.

[0033] The communication device 54 communicates with external devices including the onboard terminal 21, the database 3, and the external terminal 6 by wireless communication and / or wired communication via the network 4. The maintenance recommendation program can be received from the outside by the communication device 54 and stored in the program storage unit 531.

[0034] The input / output device 55 outputs information to the user and receives input operations from the user. As an example, the input / output device 55 includes a display device that outputs images, a keyboard and / or a mouse that receives inputs, and the like.

[0035] As an example, the external terminal 6 may be configured as a computer including a computing device, a storage device, a communication device, and an input / output device. The input / output device may include a touch panel integrating a display device for outputting images and a touch pad for accepting input by touch operation.

[0036] Reference Figure 3 The flowchart of FIG. 1 illustrates an example of the processing of the maintenance advice method according to one embodiment. The processing of the maintenance advice method may be started when the maintenance advice device 5 is activated. At this time, the computing device 52 of the maintenance advice device 5 executes the maintenance advice program to implement the processing of the maintenance advice method.

[0037] like Figure 3 The flowchart starts with step S01. In step S01, Figure 2 The acquisition unit 521 receives and acquires Figure 1 The acquired operation information can be stored in Figure 2The data storage unit 532 of the embodiment of the present invention. In addition, the acquisition unit 521 can request the database 3 to receive and acquire the work device information indicating the type of the work device 2, the field information indicating the field 9, the work information indicating the type of work, and the crop information indicating the type of crops. In addition, the acquisition unit 521 can calculate and acquire other operation information based on the received operation information. As an example, the acquisition unit 521 can calculate the operation efficiency as other operation information based on the position information as the operation information received from the onboard terminal 21 and the field information received from the database 3. Here, the operation efficiency can be expressed as the time required for the work device 2 to perform the operation per unit area of ​​the field 9, and the unit area operation time information can be expressed. In this case, the acquisition unit 521 can acquire the unit area operation time information indicating the unit area operation time. As another example, the acquisition unit 521 can calculate the average speed of the work device 2 when it moves in the field 9 while performing the operation based on the position information as the operation information received from the onboard terminal 21 and the positioning time information included in the position information as the operation information, and acquire the vehicle speed information indicating the average vehicle speed.

[0038] exist Figure 3 After step S01, step S02 is performed. In step S02, Figure 2 The acquisition unit 521 calculates a representative value of the previous operation information. More specifically, for the same combination of the type of the operation device 2, the field 9, the type of operation, and the type of crop that the operation device 2 performs in the field 9 in the operation information acquired in step S01, a representative value of the operation efficiency or average vehicle speed included in the previously acquired operation information is calculated. The representative value can be calculated based on the statistical value of the previous operation information. The statistical value can include at least one of the average value, the median value, and the standard deviation. The previous operation information can be obtained from the previous execution. Figure 3 In step S01, the Figure 2 The data storage unit 532.

[0039] exist Figure 3 After step S02, step S03 is performed. In step S03, Figure 2The extraction unit 522 extracts the severe field from the field 9. More specifically, the extraction unit 522 extracts the field 9 where the severe work that satisfies the prescribed severe conditions is performed as a severe field based on the operation information and the representative value of the previous operation information obtained in the combination for each combination of the type of the work device 2, the field 9, the type of work, and the type of the crop that the work device 2 performs work on in the field 9. As an example, the severe condition may be satisfied when the ratio of the operation parameter indicated by the operation information to the representative value of the previous operation information exceeds a prescribed range. Here, it should be noted that in the combination as the comparison object, if the type of the work device 2 is the same, the individual work devices 2 may not necessarily be the same. This is because the work devices 2 of the same type, that is, the same model, have substantially the same performance, and therefore it is presumed that the operation information can be compared. As an example, whether the model of the work device 2 is the same may be determined based on the model of the work device 2, or the model may be determined to be the same when the values ​​of the physical size of the work device 2, the output of the engine, etc. are sufficiently close.

[0040] exist Figure 3 After step S03, step S04 is performed. In step S04, Figure 2 The determination unit 523 determines whether the total time during which the working device 2 works in the severe field, that is, the severe working time, satisfies a prescribed recommended condition. More specifically, the determination unit 523 first calculates the severe working time of the working device 2 based on the positioning time information included in the position information and the extraction result of the severe field. Next, the determination unit 523 determines whether the calculated severe working time satisfies a prescribed recommended condition. As an example, it may be set that the recommended condition is satisfied when the ratio of the severe working time to the total working time exceeds a prescribed threshold.

[0041] exist Figure 3 If the result of the determination in step S04 is that the severe working time satisfies the recommended condition (Yes), the process proceeds to step S05. On the contrary, if the severe working time does not satisfy the recommended condition (No), maintenance of the working device 2 is not recommended and the process ends. Figure 3 Flowchart of the process.

[0042] exist Figure 3 In step S05, Figure 2 The suggestion unit 524 outputs a maintenance suggestion signal for suggesting maintenance of the operation device 2. More specifically, the suggestion unit 524 first generates a maintenance suggestion signal for suggesting maintenance of the operation device 2 to the user. Next, the suggestion unit 524 controls the communication device 54 to send the maintenance suggestion signal to the outside. As an example, the suggestion unit 524 can send the maintenance suggestion signal to the external terminal 6. At this time, the external terminal 6 can receive the maintenance suggestion signal and notify the operator of the content of the maintenance suggestion signal through a display or the like.

[0043] like Figure 3 Step S05 ends, then Figure 3 The processing of the flowchart is completed.

[0044] Reference Figure 4 , Figure 5 and Figure 6 A specific example of the processing of the maintenance recommendation method according to one embodiment is described. In this example, the working device 2 performs work in the first field 9, the second field 9, and the third field 9 in this season, and accumulates past operation information in the first field 9, the second field 9, and the third field 9, respectively. Here, as described above, regarding the past operation information accumulated for the first field 9, the second field 9, and the third field 9, the combination of the type of the working device 2, the field 9, the type of work, and the type of crops is consistent with the combination of the work performed by the working device 2 in this season.

[0045] Figure 4 This is a table showing an example of the operation information of the first field 9 in this season and in the past. Figure 4 In the example of , the operation of this season is performed in September 2022, and the same type of operation was performed on the same type of crops in the same field 9 by the same type of operation device 2 in September 2020 and September 2021. As an example, the operation is rice harvesting. Figure 4 It can be seen that the operating efficiency of this season is 46.08 minutes per 10 acres, while the operating efficiency in the past was 17.98 minutes per 10 acres and 17.95 minutes per 10 acres. The operating efficiency of this season has greatly deteriorated compared with the previous operating efficiency. Here, when the operating parameters used as the basis for determining severe conditions are the operating time per unit area as the operating efficiency, the representative value of the operating efficiency is the average value, and the range of severe conditions is up to 20% greater than the average value, in the first field 9, the representative value of the operating efficiency is 17.965 minutes per 10 acres, and the range of severe conditions is 21.558 minutes per 10 acres. The operating efficiency of this season exceeds the range of severe conditions. Therefore, in Figure 3 In step S03, the first field 9 is extracted as a severe field.

[0046] In addition, according to Figure 4It can be seen that the average vehicle speed this season is 0.29 m / s, while the average vehicle speeds in the past were 0.60 m / s and 0.57 m / s. The average vehicle speed this season is significantly lower than the previous operating efficiency. Here, when the operating parameter used as the basis for determining the severe condition is the average vehicle speed, the representative value of the average vehicle speed is the average value, and the range of the severe condition is 20% less than the average value, in the first field 9, the representative value of the average vehicle speed is 0.585 m / s, and the range of the severe condition is 0.468 m / s or less. The average vehicle speed this season exceeds the range of the severe condition, so in Figure 3 In step S03, the first field 9 is still extracted as the severe field.

[0047] Figure 5 : is a table showing an example of the operation information of the second field 9 in this season and in the past. Figure 5 In the example, Figure 4 In the same example, the operation of this season is carried out in September 2022. In the past, the same type of operation was carried out on the same type of crops in the same field 9 by the same type of operation device 2 in September 2020 and September 2021. As an example, the operation is the harvesting of rice. Figure 5 It can be seen that the operating efficiency of this season is 21.93 minutes per 10 acres, and the operating efficiency in the past was 18.92 minutes per 10 acres and 18.85 minutes per 10 acres. The operating efficiency of this season is almost the same as that in the past. Here, when the operating parameters used as the basis for determining the severe conditions are the operating time per unit area as the operating efficiency, the representative value of the operating efficiency is the average value, and the range of the severe conditions is up to 20% greater than the average value, in the second field 9, the representative value of the operating efficiency is 18.885 minutes per 10 acres, and the range of the severe conditions is more than 22.662 minutes per 10 acres. The operating efficiency of this season does not exceed the range of the severe conditions. Therefore, in Figure 3 In step S03, the second field 9 is not extracted as a severe field.

[0048] In addition, according to Figure 5 It can be seen that the average vehicle speed this season is 0.48 m / s, while the average vehicle speeds in the past were 0.54 m / s and 0.56 m / s. The average vehicle speed this season is almost the same as the previous operating efficiency. Here, when the operating parameter used as the basis for determining the severe condition is the average vehicle speed, the representative value of the average vehicle speed is the average value, and the range of the severe condition is up to 20% less than the average value, in the second field 9, the representative value of the average vehicle speed is 0.55 m / s, and the range of the severe condition is 0.44 m / s or less. The average vehicle speed this season does not exceed the range of the severe condition, so in Figure 3 In step S03, the second field 9 is still not extracted as a severe field.

[0049] Figure 6 This is a table showing an example of the operation information of the third field 9 in this season and in the past. Figure 6 In the example, Figure 4 and Figure 5 In the same example, the operation of this season is carried out in September 2022. In the past, the same type of operation was carried out on the same type of crops in the same field 9 by the same type of operation device 2 in September 2020 and September 2021. As an example, the operation is the harvesting of rice. Figure 6 It can be seen that the operating efficiency of this season is 40.53 minutes per 10 acres, while the operating efficiency in the past was 17.15 minutes per 10 acres and 23.50 minutes per 10 acres. The operating efficiency of this season has greatly deteriorated compared with the previous operating efficiency. Here, when the operating parameters used as the basis for determining severe conditions are the operating time per unit area as the operating efficiency, the representative value of the operating efficiency is the average value, and the range of severe conditions is up to 20% greater than the average value, in the third field 9, the representative value of the operating efficiency is 20.325 minutes per 10 acres, and the range of severe conditions is 24.39 minutes per 10 acres. The operating efficiency of this season exceeds the range of severe conditions. Therefore, in Figure 3 In step S03, the third field 9 is extracted as a severe field.

[0050] In addition, according to Figure 6 It can be seen that the average vehicle speed this season is 0.34 m / s, while the average vehicle speeds in the past were 0.55 m / s and 0.43 m / s. The average vehicle speed this season is significantly lower than the previous operating efficiency. Here, when the operating parameter used as the basis for determining severe conditions is the average vehicle speed, the representative value of the average vehicle speed is the average value, and the range of severe conditions is 20% less than the average value, in the third field 9, the representative value of the average vehicle speed is 0.49 m / s, and the range of severe conditions is 0.392 m / s or less. The average vehicle speed this season exceeds the range of severe conditions, so in Figure 3 In step S03, the third field 9 is still extracted as the severe field.

[0051] exist Figure 4 , Figure 5 and Figure 6In the example, the severe working time of the working device 2 in this season is equal to the total time of working in the first field 9 and the third field 9 extracted as the severe field. In addition, the total working time of the working device 2 in this season is equal to the total time of working in the first field 9, the second field 9, and the third field 9. As an example, when the area of ​​the first field 9 is 20 mu, the area of ​​the second field 9 is 40 mu, and the area of ​​the third field 9 is 30 mu, based on the area of ​​each field 9 and the working efficiency of each field in this season, the working time in the first field 9 is 92.16 minutes, the working time in the second field 9 is 91.72 minutes, and the working time in the third field 9 is 121.59 minutes. At this time, the severe working time is 213.75 minutes, the total working time is 305.47 minutes, and the ratio of the severe working time to the total working time is about 0.70. When the threshold of the recommended condition is 0.6, since the ratio of the severe operation time to the total operation time is greater than the threshold, Figure 3 In step S04, a maintenance recommendation signal for recommending maintenance work to the device 2 is output.

[0052] As described above, the maintenance advice method, the maintenance advice system 1 , and the maintenance advice program according to the present embodiment can make use of information such as the automatically acquired operation information to advise the maintenance work device 2 at an appropriate time.

[0053] (Variation 1)

[0054] In the above embodiment, the types of crops to be operated are stored in advance in Figure 1 As a variation of this structure, the types of crops can also be represented by Figure 2 The acquisition unit 521 is Figure 3 In step S01, the operation information indicating the operation history, crop type, etc., the field information indicating the position of the field 9, and the period of operation are estimated. Here, the operation history or crop type is predetermined information indicating the operation planned in each field 9 at each period, and can be stored in Figure 1 Database 3 or Figure 2 The data storage unit 532.

[0055] (Variation 2)

[0056] In the above embodiment, Figure 1 The operation information received by the onboard terminal 21 is stored in Figure 2 The data storage unit 532 of the embodiment of the present invention is used to store the previous operation information.

[0057] (Variation 3)

[0058] In the above embodiment, Figure 3 The structure when the maintenance recommendation signal for recommending maintenance of the entire working device 2 is output in step S05 is described. As a modified example of this structure, the operating parameters may include a state parameter indicating the state of each part of the working device 2, the database 3 may store corresponding information indicating the correspondence between the type of work and the part that is particularly consumed for each type of work, and the maintenance recommendation device 5 may output a maintenance recommendation signal for recommending maintenance based on the state parameter of each part obtained from the onboard terminal 21 and the corresponding information obtained from the database 3.

[0059] For example, when the number of times the vehicle height control device is operated among the operating parameters measured by the working device 2 is sufficiently increased compared to the previous representative value, it can be recommended to maintain the sealing part of the vehicle height raising and lowering cylinder in the working device 2. This is because when the environment of the field 9 is relatively harsh, especially when the field 9 is muddy, the frequency of raising or lowering the vehicle height of the working device 2 increases.

[0060] As another example, when the number of times the harvesting section is blocked among the operating parameters measured by the working device 2 is sufficiently increased compared to the previous representative value, it may be recommended to maintain the conveyor chain of the harvesting section of the working device 2. This is because the frequency of blockage in the harvesting section of the working device 2 increases when the environment of the field 9 is severe, especially when the crops to be harvested fall.

[0061] As another example, when the rice harvest amount among the operation parameters measured by the working device 2 is sufficiently increased compared with the previous representative value, it can be recommended to maintain the rice transfer conveyor of the threshing section in the working device 2. This is because: when the environment of the field 9 is relatively severe, especially when the harvest amount is large, the conveying amount of the conveyor of the working device 2 increases.

[0062] (Note)

[0063] The maintenance advice method, the maintenance advice system 1, and the maintenance advice program described in each embodiment can be described as follows.

[0064] The maintenance suggestion method involved in the first method includes the following steps:

[0065] acquiring operation information indicating a result of measuring an operation parameter as an operation status of the work device when working in the field;

[0066] extracting, for each combination of the type of the working device, the field, the type of the work, and the type of the crop on which the working device performs the work in the field, a severe field in which a severe work satisfying predetermined severe conditions is performed based on the operation information and a representative value of past operation information acquired in the combination; and

[0067] For each of the working devices, when the severe working time representing the total time of performing the working in a severe field where the severe working satisfying the severe conditions is performed and the total working time which is the total time of performing the working in any of the fields satisfy the prescribed recommendation conditions, a maintenance recommendation signal is outputted to recommend maintenance of the working device.

[0068] A maintenance recommendation method according to a second aspect is based on the maintenance recommendation method according to the first aspect, wherein:

[0069] The operation information includes:

[0070] Position information measured at a plurality of times of positions that the working device passed while performing the work in the field; and

[0071] unit area operation time information indicating the time required per unit area of ​​the field when the operation device performs the operation, or vehicle speed information indicating the average speed of the operation device when it moves in the field while performing the operation,

[0072] The representative value includes an average value, a median value, and a standard deviation of the previous operation information.

[0073] When the ratio of the operating parameter to the representative value exceeds a specified range, the severe condition is met.

[0074] When the ratio of the severe work time to the total work time exceeds a predetermined threshold, the recommendation condition is satisfied.

[0075] A maintenance recommendation method according to a third aspect is based on the maintenance recommendation method according to the second aspect, wherein:

[0076] The operation parameters further include: a state parameter indicating the state of each part of the operation device; and correspondence information indicating the correspondence between the type of the operation and the part consumed for each type of the operation.

[0077] The maintenance recommendation signal includes a part maintenance recommendation signal that recommends maintenance of the part consumed according to the type of the severe work when the predetermined recommendation condition is satisfied.

[0078] A maintenance recommendation method according to a fourth aspect is based on the maintenance recommendation method according to the first aspect, wherein:

[0079] The step of making the determination includes the step of estimating the type of the crop based on the type of the working device and the operating parameter.

[0080] A maintenance recommendation method according to a fifth aspect is based on the maintenance recommendation method according to the first aspect, wherein:

[0081] The step of performing the acquisition includes the step of further acquiring crop information indicating the type of the crop.

[0082] A maintenance recommendation method according to a sixth aspect is based on the maintenance recommendation method according to the first aspect, wherein:

[0083] The step of outputting includes the step of displaying and notifying the content of the maintenance recommendation signal on an external terminal.

[0084] The maintenance recommendation system according to the seventh aspect comprises:

[0085] an acquisition unit that acquires operation information indicating a result of measuring an operation parameter as an operation status of the work device when working in the field;

[0086] an extracting unit for extracting, for each combination of the type of the working device, the field, the type of the work, and the type of the crop on which the working device performs the work in the field, a severe field in which a severe work satisfying a predetermined severe condition is performed based on the operation information and a representative value of past operation information acquired in the combination; and

[0087] A recommendation unit outputs a maintenance recommendation signal for recommending maintenance of the working device for each of the working devices when the severe working time representing the total time of performing the working in the severe field where the severe working satisfying the severe conditions is performed and the total working time representing the total time of performing the working in any of the fields satisfy a prescribed recommendation condition.

[0088] The maintenance recommendation program according to the eighth aspect is used to be executed by a computing device to implement a predetermined process.

[0089] The process comprises the following steps:

[0090] acquiring operation information indicating a result of measuring an operation parameter as an operation status of the work device when working in the field;

[0091] extracting, for each combination of the type of the working device, the field, the type of the work, and the type of the crop on which the working device performs the work in the field, a severe field in which a severe work satisfying predetermined severe conditions is performed based on the operation information and a representative value of past operation information acquired in the combination; and

[0092] For each of the working devices, when the severe working time representing the total time of performing the working in the severe field where the severe working satisfying the severe conditions is performed and the total working time which is the total time of performing the working in any of the fields satisfy the prescribed recommendation conditions, a maintenance recommendation signal is outputted to recommend maintenance of the working device.

[0093] The invention completed by the inventor is specifically described above based on the embodiment, but the present invention is not limited to the embodiment, and various changes can be made without departing from the scope of the gist. In addition, the various features described in the embodiment can be freely combined within the scope of technical non-contradiction.

Claims

1. A maintenance suggestion method, characterized in that: The maintenance suggestion method comprises the following steps: acquiring operation information indicating a result of measuring an operation parameter as an operation status of the work device when working in the field; extracting, for each combination of the type of the working device, the field, the type of the work, and the type of the crop on which the working device performs the work in the field, a severe field where a severe work satisfying a predetermined severe condition is performed based on the operation information and a representative value of past operation information acquired in the combination; as well as For each of the working devices, when a severe working time indicating a total time during which the working is performed in the severe field and a total working time which is a total time during which the working is performed in any of the fields satisfy a predetermined advice condition, a maintenance advice signal is outputted to advise maintenance of the working device.

2. The maintenance suggestion method according to claim 1, characterized in that: The operation information includes: Position information measured at a plurality of times of positions that the working device passed while performing the work in the field; and unit area operation time information indicating the time required per unit area of ​​the field when the operation device performs the operation, or vehicle speed information indicating the average speed of the operation device when it moves in the field while performing the operation, The representative value is calculated based on the statistical value of the past operation information. The statistical value includes at least one of an average value, a median value, and a standard deviation of the past operation information. When the ratio of the operating parameter to the representative value exceeds a specified range, the severe condition is met. When the ratio of the severe work time to the total work time exceeds a predetermined threshold, the recommendation condition is satisfied.

3. The maintenance suggestion method according to claim 2, characterized in that: The operation parameters further include: a state parameter indicating the state of each part of the operation device; and correspondence information indicating the correspondence between the type of the operation and the part consumed for each type of the operation. The maintenance recommendation signal includes a part maintenance recommendation signal that recommends maintenance of the part consumed according to the type of the severe work when the predetermined recommendation condition is satisfied.

4. The maintenance suggestion method according to claim 1, characterized in that: The step of extracting includes the step of estimating the type of the crop based on the type of the working device and the operating parameter.

5. The maintenance suggestion method according to claim 1, characterized in that: The step of performing the acquisition includes the step of further acquiring crop information indicating the type of the crop.

6. The maintenance suggestion method according to claim 1, characterized in that: The step of outputting includes the step of displaying and notifying the content of the maintenance recommendation signal on an external terminal.

7. A maintenance suggestion system, characterized in that: The maintenance suggestion system has: an acquisition unit that acquires operation information indicating a result of measuring an operation parameter as an operation status of the work device when the work device is working in the field; an extracting unit for extracting, for each combination of the type of the working device, the field, the type of the work, and the type of the crop on which the working device performs the work in the field, a severe field in which a severe work satisfying a predetermined severe condition is performed based on the operation information and a representative value of past operation information acquired in the combination; as well as The advice unit outputs a maintenance advice signal for advising maintenance of the work device for each of the work devices when a severe work time representing a total time for performing the work in the severe field and a total work time representing a total time for performing the work in any of the fields satisfy a predetermined advice condition.

8. A maintenance recommendation program, which is executed by a computing device to implement a predetermined process, It is characterized in that The process comprises the following steps: acquiring operation information indicating a result of measuring an operation parameter as an operation status of the work device when working in the field; extracting, for each combination of the type of the working device, the field, the type of the work, and the type of the crop on which the working device performs the work in the field, a severe field where a severe work satisfying a predetermined severe condition is performed based on the operation information and a representative value of past operation information acquired in the combination; as well as For each of the working devices, when a severe working time indicating a total time during which the working is performed in the severe field and a total working time which is a total time during which the working is performed in any of the fields satisfy a predetermined advice condition, a maintenance advice signal is outputted to advise maintenance of the working device.

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