JP7604341B2 - Maintenance Support System - Google Patents

Description

The present invention relates to a maintenance support system for multiple machines installed at the same operating site, and in particular to a maintenance support system that presents appropriate maintenance support information when a machine is determined to be abnormal.

For machines that operate continuously for long periods of time, such as construction machinery or wind turbines, improving the operating rate is important to maximize profits for customers (machine owners, users, agents, or sales offices). Therefore, there is a need for a maintenance support system that can quickly and appropriately replace parts or carry out repairs before a breakdown occurs, or that can quickly repair machines and get them back up and running again if a breakdown does occur.

To realize such a maintenance support system, a "maintenance support system" is required that is able to constantly monitor the condition of machines and send appropriate maintenance instructions by equipping the machines with sensors and collecting and analyzing sensor data.

For example, Patent Document 1 proposes a system that estimates the time to failure based on the signs of a part failure, compares it with the time required to newly produce that part, and issues an instruction to produce the part if the time until the expected failure is longer than the required production time, and issues an instruction to arrange for the part to be stocked if it is determined that the time until the expected failure is equal to or shorter than the required production time.

Meanwhile, since multiple construction machines, wind turbines, and other machines are often installed at the same operating site, systems have been proposed to manage multiple machines as assets. For example, Patent Document 2 proposes an asset management system for construction machines that includes a construction site information database, a machine information database, and a machine operation information database.

JP 2014-2660 A JP 2003-186949 A

As mentioned above, when an abnormality is detected in a machine, there is a demand for responding to that abnormality as soon as possible. Furthermore, if an event occurs in which, for example, a core part is out of stock or requires a long period of time to transport, depending on the time it takes to procure the part, there is a risk that the machine will have to be shut down for an extended period of time. From this perspective, there is a demand for parts required for machine maintenance or repair to be procured quickly.

The technology disclosed in Patent Document 1 aims to speed up parts procurement by detecting signs of failure, but there is a risk that the time required to procure parts will increase machine downtime. In particular, construction machinery, wind turbines, and the like are often operated in remote locations, and it often takes several days to transport replacement parts from a warehouse to the machine's operating site, so there is concern that longer parts procurement times will increase machine downtime.

On the other hand, when there are multiple machines at the same operating site, some of them may be the same or similar models as the broken machine, and these machines may have the same parts as the replacement parts for the broken machine or compatible parts (hereinafter, both are collectively referred to as "compatible parts"). If other machines that have such compatible parts are stopped or are scheduled to be stopped due to a change in the operating plan, "procuring" the parts from machines at such operating sites can speed up parts procurement and contribute to improving the operating rate of the machines.

However, the above-mentioned Patent Document 2 only discloses technology for managing multiple machines installed at the same operating site as assets, and does not mention a mechanism for sharing the supply of compatible parts between machines of the same (or similar) model.

The present invention was made in consideration of these problems, and its purpose is to provide a maintenance support system that, when multiple machines are installed at the same operating site, speeds up parts procurement by making optimal part adjustments, taking into account both whether parts needed to repair a machine should be procured from a warehouse or from other machines at the operating site.

To achieve the above object, the present invention provides a maintenance support system for multiple machines located at the same operating site, comprising a control device for performing arithmetic processing, a storage device for storing data necessary for the arithmetic processing of the control device, and a communication device, the control device analyzes the state of each machine based on the operation data of each of the multiple machines acquired via the communication device, and when a machine is determined to be abnormal by the analysis, identifies countermeasure parts and their quantity required to repair the failure of the machine based on the first information stored in the storage device, calculates multiple procurement times required to procure the countermeasure parts from a warehouse and other machines located at the same operating site, and transmits at least one of the multiple procurement times to an information presentation device via the communication device.

Preferably, the control device calculates a first procurement time required for warehouse part procurement to procure the countermeasure part from a warehouse based on the second information stored in the storage device, calculates a second procurement time required for on-site part procurement to procure the countermeasure part from another machine located at the same operating site based on the third information stored in the storage device, and transmits the first procurement time and the second procurement time to the information presentation device via the communication device.

The control device may transmit the shortest procurement time among the multiple procurement times to the information presentation device via the communication device in a combined procurement that combines warehouse procurement, in which some of the countermeasure parts are procured from the warehouse, and on-site procurement, in which the remaining countermeasure parts are procured from other machines located at the same operating site.

According to the present invention, multiple procurement times required to procure parts for countermeasures not only from a warehouse but also from other machines located at the same operating site are calculated, and at least one of the procurement times is transmitted to the information presentation device, making it possible to procure parts taking into account both the warehouse parts procurement time and the on-site parts procurement time, thereby speeding up parts procurement. This minimizes the time that machines are not in operation due to breakdowns, improves the machine's operating rate, and is expected to maximize profits from machine operation.

1 is a diagram showing a network configuration including a maintenance support system in a first embodiment of the present invention, a group of machines that exchange information with the maintenance support system, a parts warehouse, and an information presentation device. FIG. 2 is a functional block diagram showing the processing contents of a control device. FIG. 2 is a diagram showing the configuration of a database stored in a storage device. 1 is a diagram showing an example of a distribution of anomaly levels of a certain machine and threshold values used for determining the state of the machine; FIG. 2 is a diagram illustrating an example of a data structure of a failure/repair history database. FIG. 4 is a diagram illustrating an example of a data structure of a countermeasure component database. FIG. 2 is a diagram illustrating an example of a data structure of a warehouse database. FIG. 2 is a diagram illustrating an example of a data structure of a site database. FIG. 13 is a diagram showing a processing procedure of a warehouse parts procurement time calculation unit. FIG. 4 is a diagram illustrating an example of a data structure of a machine information database. FIG. 4 is a diagram illustrating an example of a data structure of a part compatibility database. FIG. 11 is a diagram showing a processing procedure of a site parts procurement time calculation unit. FIG. 13 is a diagram showing a processing procedure of a warehouse parts procurement cost calculation unit. FIG. 11 is a diagram showing a processing procedure of a field parts procurement cost calculation unit. 11A and 11B are diagrams illustrating an example of a display displayed on a screen of the information presentation device in response to a display command from an output unit. FIG. 11 is a functional block diagram showing the processing contents of a control device in a second embodiment of the present invention. FIG. 13 is a diagram showing an example of a data structure of a parts procurement combination resulting from a parts procurement combination creation unit in the second embodiment of the present invention. 13 is a diagram showing an example of a data structure of a part procurement time calculation unit and a calculation result of a part procurement cost calculation in the second embodiment of the present invention. FIG.

Below, an embodiment of the present invention will be described with reference to the drawings, assuming that the machine targeted by the maintenance support system is a hydraulic excavator, which is a typical example of construction machinery.

~Overall composition~
1 is a diagram showing a network configuration including a maintenance support system according to a first embodiment of the present invention, a group of machines that exchange information with the maintenance support system, a parts warehouse, and an information presentation device. In the figure, the maintenance support system is indicated by reference number 1, the group of machines by reference number 10, the parts warehouse by reference number 40, and the information presentation device by reference number 50. In the following, the parts warehouse may be simply referred to as the warehouse.

In FIG. 1, the maintenance support system 1 is a system that monitors the status of machines 10a, 10b, 10c, etc. in a group of machines 10 to support maintenance work for the group of machines 10, and is equipped with a server 100 and a storage device 200. The server 100 has a control device 100a that performs arithmetic processing, and a communication device 100b. The storage device 200 stores data necessary for the arithmetic processing of the control device 100a. The maintenance support system 1 is installed, for example, in a manufacturer's management office or service sales office.

The control device 100a is composed of one or more computers equipped with a power supply, a CPU (Central Processing Unit), memory, input/output devices, etc. The control device 100a is connected to a network 20 composed of a LAN (Local Area Network), the Internet, etc., via a communication device 100b.

The storage device 200 is composed of, for example, one or more hard disks. The storage device 200 may be installed in the server 100, or may be connected to the server 100 via the network 20. The storage device 200 stores data related to the processing of the control device 100a in electronic file format or database format such as a relational database.

The machines 10a, 10b, 10c, etc. of the machine group 10 are multiple machines arranged at the same operating site, and each is composed of multiple subunits or parts. Each of the machines 10a, 10b, 10c, etc. is equipped with various sensors 11 that measure pressure, temperature, etc., a control device 12, and a communication device 13, and the control device 12 can transmit information (operation data) such as pressure and temperature measured by the sensor 11 to the maintenance support system 1 via the communication device 13. Each of the machines 10a, 10b, 10c, etc. has an operation plan and a maintenance plan, and operation, shutdown, and maintenance are performed based on the plan.

In FIG. 1, the machines 10a, 10b, 10c, etc. of the group of machines 10 are illustrated as hydraulic excavators, which are a typical example of construction machines, but the machines 10a, 10b, 10c, etc. are not limited to construction machines and may be other machines such as wind turbines.

The parts warehouse 40 stores the parts used by the machine group 10, and manages the inventory of the stored parts, as well as the arrival and shipment of parts. The parts warehouse 40 is equipped with a control device and a communication device (not shown), and is connected to the network 20 via the communication device, and is further connected to the server 100 of the maintenance support system 1.

The information presentation device 50 is a mobile terminal such as a smartphone, and has various functions such as input, display, and photography. The information presentation device 50 is also connected to the server 100 of the maintenance support system 1 via the network 20, and displays various information (described below) including procurement information sent from the server 100, and presents it to relevant parties including customers (machine owners, users, agents, or sales offices). Users are, for example, inspectors at the operation site and service personnel at sales offices. Stakeholders other than customers are, for example, maintenance and inspection personnel at the manufacturer.

-Control device and storage device-
2 is a functional block diagram showing the processing contents of the control device 100a. The control device 100a is composed of a machine state analysis unit 102, a countermeasure part estimation unit 103, a warehouse part procurement time calculation unit 104, a field part procurement time calculation unit 105, a warehouse part procurement cost calculation unit 106, a field part procurement cost calculation unit 107, a part procurement method determination unit 108, and an output unit 109, and processes are executed in the order of the illustrated arrows.

Figure 3 shows the configuration of the databases stored in the storage device 200. The storage device 200 has a failure and repair history database D001, a countermeasure parts database D002, a warehouse database D003, a site database D004, a machine information database D005, and a parts compatibility database D006. The data structures of these databases D001 to D006 will be described later.

～Processing contents of the control device～
A characteristic of the control device 100a is that it analyzes the status of each machine based on the operation data of each of a plurality of machines obtained via the communication device 100b, and if the analysis determines that a certain machine is abnormal, it identifies the countermeasure parts and their quantity required to repair the machine's failure based on the first information (described later) stored in the memory device 200, calculates multiple procurement times required to procure the countermeasure parts from the warehouse 40 and other machines 10a, 10b, 10c, ... located at the same operating site, and transmits at least one of the multiple procurement times to the information presentation device via the communication device 100b.

To execute the above-mentioned processing, the control device 100a is equipped with processing units 102 to 109 shown in FIG. 2.

The processing contents of each part of the control device 100a are explained below.

<Machine Condition Analysis Unit 102>
The machine condition analysis unit 102 acquires operation data, including operation information such as cumulative operating time and measurement information such as pressure and temperature measured by the sensor 11, from all of the machines 10a, 10b, 10c, ... in the machine group 10 via the communication device 100b, and analyzes the condition of each machine based on the operation data.

The machine condition analysis unit 102 also calculates a health index for each machine based on the operation data of each machine 10a, 10b, 10c, etc., and analyzes the condition of each machine by classifying each machine as normal or abnormal based on the health index.

Specifically, the machine condition analysis unit 102 calculates a health index from the operation data acquired from each machine using algorithms such as data mining, machine learning, and remaining life assessment. In this embodiment, a condition analysis method using an anomaly detection algorithm is described.

In the anomaly detection algorithm, physical quantities called "features" are created from the operation data of each machine, and a normal model is created from the features obtained from normal machines. Features are a combination of multiple physical quantities extracted from the operation data of each machine, and are described in vector format. Hereinafter, a combination of multiple features described in vector format will be referred to as a feature vector. The normal model corresponding to the feature vector can be described by the average (hereinafter referred to as the mean vector) and variance of the feature vectors obtained from normal machines. The degree of anomaly for each machine is calculated by quantifying the distance between the feature vector and the mean vector for the newly obtained physical quantity. For example, according to a statistical algorithm called the Mahalanobis-Taguchi method, the degree of anomaly for each machine can be calculated using the following formula (1).

Here, a is the degree of anomaly, x is the newly obtained feature vector, μ is the mean vector, and σ is the standard deviation (square root of the variance) of the feature vector x obtained by a normal machine. The numerator on the right side of equation (1) indicates the square of the distance from the new feature vector x to the mean vector μ, and the denominator on the right side indicates the variance of the feature vector x used to calculate the mean vector μ.

By using the degree of abnormality a, which is the magnitude of the abnormality, as an indicator of the machine's health, it is possible to judge whether the machine's condition is normal or abnormal accordingly. A commonly used method is to set a threshold value for the degree of abnormality a, and if the degree of abnormality a exceeds the threshold, it is judged to be "abnormal," and if it does not exceed the threshold, it is judged to be "normal."

Figure 4 shows an example of the distribution of the degree of abnormality a of a certain machine and the threshold value used to determine the state. The threshold value in the figure is the boundary between abnormality and normality calculated from the degree of abnormality a of the machine. Using the degree of abnormality a and the threshold value, an algorithm for determining whether a machine is abnormal can be written in the following pseudocode.

<Countermeasure part estimation unit 103>
When the machine condition analysis unit 102 determines that the degree of abnormality a of the operation data of a certain machine exceeds a threshold value and an abnormality has occurred (hereinafter, this may be referred to as "an abnormality has been detected"), the countermeasure part estimation unit 103 identifies the countermeasure parts and their quantity required to repair the failure of the machine, based on the information (first information) stored in the failure/repair history database D001 and the countermeasure part database D002 in the storage device 200.

Figure 5 is a diagram showing an example of the data structure of the failure/repair history database D001. The failure/repair history database D001 stores the value of the health index at the time of analysis for each failure/repair case, and for each value of the health index at the time of analysis, stores the failure mode, the number of days until failure, a list of replacement parts used for repair, the time required for repair, the repair cost, etc.

Figure 6 shows an example of the data structure of the countermeasure parts database D002. The countermeasure parts database D002 stores, for each failure mode, the part numbers, names, and quantities of countermeasure parts required to repair the failure.

First, when the degree of anomaly a (health index) of the operation data of a certain machine exceeds a threshold value and the machine is judged to be abnormal, the countermeasure part estimation unit 103 identifies the failure mode based on the value of the degree of anomaly a (health index) used to analyze the state of the machine, and generates a list of countermeasure parts including the countermeasure parts and their quantities required to repair this failure mode.

Specifically, the countermeasure part estimation unit 103 selects the failure mode that corresponds to the value of the soundness index at the time of analysis from among the failure modes stored in the failure/repair history database D001, and estimates that this selected failure mode is the failure mode when an abnormality is detected by the machine condition analysis unit 102.

The countermeasure parts estimation unit 103 also uses the information stored in the countermeasure parts database D002 to acquire and identify the countermeasure parts and their quantities required to repair the identified failure mode, based on the information on the parts and their quantities required to repair the failure for each failure mode stored in the countermeasure parts database D002.

Here, the failure modes are determined in advance as possible failure modes that may occur in the machine based on knowledge of the machine and its failure history before calculating the health index. Examples of failure modes include battery degradation and damage to bucket teeth. Battery degradation is a failure caused by deterioration of the battery's state of charge (SOC), and the health index can be calculated by analyzing measurement information related to the battery's state of charge. Bucket tooth damage is a failure caused by wear of the teeth, and the health index can be calculated by analyzing operation information on the cumulative operating time.

<Warehouse parts procurement time calculation unit 104>
The warehouse parts procurement time calculation unit 104 calculates a warehouse parts procurement time (first procurement time) T S required for warehouse parts procurement to procure the above-mentioned countermeasure parts from the parts warehouse 40, based on the information (second information) stored in the warehouse database D003 and the site database _D004 of the storage device 200.

The warehouse parts procurement time T _S means the time from the time when the health index exceeds the threshold and a machine abnormality is detected to the time when all of the countermeasure parts arrive at the operation site (hereinafter sometimes simply referred to as the site).

Figure 7 shows an example of the data structure of the warehouse database D003. The warehouse database D003 stores basic information about the warehouse and a list of all parts stored in the warehouse. The basic information about the warehouse includes at least the warehouse name, warehouse address, and contact information for the warehouse. The parts list includes at least the part number, part name, weight, dimensions, unit price, inventory quantity, and transportation method for all parts stored in the warehouse.

Figure 8 is a diagram showing an example of the data structure of the site database D004. The site database D004 stores at least the name of the site, the address of the site, the duration of the project being implemented at the site, the expected profit of the project, the drilling plan for the project, and a list of machines owned at the site.

Figure 9 shows the processing procedure of the warehouse parts procurement time calculation unit 104.

In step S4401, the warehouse parts procurement time calculation unit 104 obtains information such as the weight, dimensions, inventory quantity, transportation method, and warehouse address of the countermeasure parts from the warehouse database D003, and obtains the address of the operation site from the site database D004.

Next, in step S4402, a warehouse parts procurement time T S for procuring the parts from the warehouse 40 to the machine at the site is calculated based on the information on the weight, dimensions, inventory quantity, transportation means, warehouse address, and operation site address of the countermeasure parts acquired in step _S4401 . Specifically, when the inventory quantity is sufficient, a transportation means for transporting the countermeasure parts is specified from the information on the weight, dimensions, warehouse address, site address, and transportation means of the countermeasure parts, and an estimated transportation time required to transport the countermeasure parts from the warehouse 40 to the site is calculated as the warehouse parts procurement time T _S based on this transportation means, the warehouse address, and the site address. When the inventory quantity is insufficient, the warehouse parts procurement time T _S is set to include the time to procure the insufficient quantity of parts from outside.

<On-site parts procurement time calculation unit 105>
The on-site parts procurement time calculation unit 105 calculates the on-site parts procurement time (second procurement time) T G required for on-site parts procurement to procure the above-mentioned countermeasure parts from other machines located at the same operating site, based on the information (third information) stored in the machine information database D005 and the part compatibility database _D006 of the storage device 200.

The on-site parts procurement time T _G refers to the time from the point when the health index exceeds the threshold and a machine abnormality is detected to the point when all of the countermeasure parts are available from other machines located at the same operating site.

Figure 10 is a diagram showing an example of the data structure of the machine information database D005. The machine information database D005 stores at least the model information, operation plan, repair history, parts list, parts compatibility information, and average excavation volume per unit time for all machines in the machine group 10. The model information stores basic information such as the model name, type, serial number, and manufacturing date of the machine. The operation plan includes information on the operation schedule such as the operation time and operation mode of the machine at the target operation site. The repair history includes information on past repairs and part replacements of the machine, and this information may be obtained from the failure/repair history database D001. The parts list includes all parts owned by the machine. The parts compatibility information includes information on parts that are compatible with parts of other models (hereinafter, sometimes referred to as compatible parts) for each part of the machine. If one part breaks down between compatible parts, the other part can be used as a substitute. The average excavation volume per unit time is the average value per hour of the weight of soil excavated by the hydraulic excavator in the past.

Figure 11 is a diagram showing an example of the data structure of the parts compatibility database D006. The parts compatibility database D006 stores a list of parts that are compatible with all parts equipped on all machines in the machine group 10.

Figure 12 shows the processing procedure of the on-site parts procurement time calculation unit 105.

In step S5501, the on-site parts procurement time calculation unit 105 obtains, from the machine information database D005, information regarding the machines located at the operation site, including a list of machines that can provide parts compatible with the countermeasure parts (hereinafter referred to as the "compatible parts machine list"), the operation plan of the machine, the parts list, and parts compatibility information. As described above, the parts list is a list of parts that make up each machine, and the parts compatibility information is a list of parts that are compatible with each part. The parts compatibility information may be obtained from the parts compatibility database D006, or may be obtained by using the parts compatibility database D006 in combination.

Next, in step S5502, information on compatible parts is obtained for each countermeasure part identified by the countermeasure part estimation unit 103 based on the compatible part machine list, parts list, and part compatibility information obtained in step S5501.

In step S5503, the on-site parts procurement time calculation unit 105 compares the list of machines with compatible parts acquired in step S5501 with the "operation plan" of each machine, predicts the date on which compatible parts for each machine can be provided, and calculates the on-site parts procurement time T _G based on the information on the compatible parts provision date. If there are multiple machines that can provide compatible parts, it calculates the procurement times of the compatible parts for all the machines, selects the machine with the earliest compatible parts provision date, and sets the procurement time of the compatible parts for that machine as the on-site parts procurement time T _G.

<Warehouse parts procurement cost calculation unit 106>
The warehouse parts procurement cost calculation unit 106 calculates the total cost required to procure the countermeasure parts from the parts warehouse 40, including the machine operation loss cost (first operation loss cost) _CSK due to the machine downtime _DK .

Figure 13 shows the processing procedure of the warehouse parts procurement cost calculation unit 106.

First, in steps S401 and S402, the warehouse parts procurement cost calculation unit 106 calculates a warehouse parts procurement cost (first procurement cost) C S required for procuring warehouse parts for procuring the required quantity of countermeasure parts from the warehouse 40 based on the information (fourth information) stored in the warehouse database D003 shown in FIG. 7 and the site database D004 shown in FIG. ₈ in the storage device 200.

First, in step S401, the warehouse parts procurement cost calculation unit 106 acquires information such as the weight, dimensions, inventory quantity, transportation means, and warehouse address of the countermeasure parts from the warehouse database D003, as in step S4401 of FIG. 9, and acquires the address of the operation site from the site database D004. Also, in step S401, information on the price of the countermeasure parts is acquired from the warehouse database D003.

In step S402, the warehouse parts procurement cost calculation unit 106 calculates the warehouse parts procurement cost C S required to procure the parts from the parts warehouse 40 to the machine at the operation site, based on the information acquired from the warehouse database D003 and the site database _D004 .

Specifically, the warehouse parts procurement cost calculation unit 106 acquires the unit price P _i of each part from the warehouse database D003, and acquires the quantity M _i of each part from the countermeasure parts list generated by the countermeasure parts estimation unit 103. In addition, the warehouse parts procurement cost calculation unit 106 calculates the transportation cost T _i of the procurement part from the information on the transportation means acquired from the warehouse database D003. However, when multiple parts are transported together, the cost of bulk transportation is used.

Then, the warehouse parts procurement cost C _S is calculated using the following formula (3).

In step S403, the warehouse parts procurement cost calculation unit 106 calculates a warehouse parts procurement time (first procurement time) T S required to _transport the countermeasures part from the warehouse 40 to the site based on the weight and dimensions of the countermeasures part, the address of the warehouse, the address of the site, and information on the transportation means, in the same manner as in step S4402 in Fig. 9. The warehouse parts procurement cost calculation unit 106 may omit the processing of step S403 and use the warehouse parts procurement time calculated in step S4402 in Fig. 9.

In steps S404 and S405, the warehouse parts procurement cost calculation unit 106 calculates a machine operation loss cost (first operation loss cost) C SK due to machine downtime D SK when performing warehouse parts procurement to procure countermeasure parts from the warehouse 40, based on the warehouse parts procurement time (first procurement time) T _S and the information (fifth information) stored in the failure/repair history database D001 shown in _FIG . 5, the site database D004 shown in FIG. 8, and the machine information database _D005 shown in FIG. 10 in the storage device 200.

First, in step S404, the warehouse parts procurement cost calculation unit 106 calculates a machine downtime DSK when warehouse parts procurement is performed to procure countermeasure parts from the warehouse 40, based on the warehouse parts procurement time (first procurement time) T _S and the information stored in the failure/repair history database D001 of the storage device 200, and then, in step S405, calculates a machine operation loss cost (first operation loss cost) C _SK due to the machine downtime D _SK , based on the information stored in the site database D004 and the machine information database _D005 of the storage device 200.

Here, the warehouse parts procurement cost calculation unit 106 calculates the machine downtime DK using information on "days until failure" and "time required for repair" for each relevant failure and repair case or for each relevant health index, which is information stored in the failure/repair history database _D001 . The "days until failure" is the number of days from the time when the health index calculated by the machine condition analysis unit 102 exceeds a threshold value and a machine abnormality is detected to the time when a failure occurs.

To explain further, in step S404, the warehouse parts procurement cost calculation unit 106 estimates the expected arrival date of parts at the operating site from the warehouse parts procurement time T _S , using the time when the machine abnormality was detected by the machine condition analysis unit 102 as the starting point of the warehouse parts procurement time T _S , and predicts the machine repair start date. The machine repair start date is calculated using the date when all countermeasure parts arrive at the site as the starting point. Next, the expected repair time of the failure is estimated from the information on the "repair time required" and the repair end date of the machine is predicted. Specifically, the average of the "repair time required" of the same failure mode as the failure is calculated to predict the expected repair time of the failure. Then, the warehouse parts procurement time T _S is added to this expected repair time to predict the repair end date. Furthermore, in step S404, the average of the "number of days until failure" of the same failure mode as the failure is calculated to predict the expected failure date. The predicted repair end date and the expected failure date are compared, and the difference (expected failure date - repair end date) is set as the machine downtime D _K. If the difference is a negative value, the machine downtime _DK is set to zero.

In addition, the warehouse parts procurement cost calculation unit 106 calculates a machine operation loss cost (first operation loss cost) CSK due to machine downtime DK, using the “expected profit of the construction project” P _r and the “total excavation volume of the construction project” A stored in the site database D004 shown in FIG. 8, and information on the “average excavation volume per unit time” _WK of a machine that uses parts compatible with the countermeasure parts, which is information stored in the machine information database _D005 shown in _FIG . 10.

Specifically, in step S405, the warehouse parts procurement cost calculation unit 106 calculates the machine operation loss cost _CSK of the machine in question using the downtime DSK of the machine, the “expected profit of the construction project” P _r , the “total excavation volume of the construction project” A, and the “average excavation volume per hour” _WK of the _machine , using the following formula (4).
C _SK = (P _r /A) x D _SK x W _K (4)

Next, in step S406, the warehouse parts procurement cost calculation unit 106 calculates a warehouse total procurement cost (first procurement total cost) _{C_total} required for procuring warehouse parts to procure the required quantity of countermeasure parts from the warehouse 40, based on the warehouse parts procurement cost (first procurement cost) _{C_total} and the machine operation loss cost (first operation loss cost) _{C_sk} .

At this time, the warehouse parts procurement cost calculation unit 106 calculates the warehouse procurement total cost (first procurement total cost) C _{S_total} using the "repair cost" _CV of the corresponding case (soundness index), which is information stored in the failure/repair history database D001 shown in Fig. 5. The "repair cost" _CV is the cost required for repair work of the failure, including part replacement.

Specifically, the warehouse parts procurement cost calculation unit 106 calculates the warehouse parts procurement cost C _S , the operation loss cost C _SK , and the “repair cost” C _V as shown in the following formula (5) to calculate the warehouse procurement total cost C _{S_total} .
C _{S_total} = C _S + C _SK + C _V (5)

<On-site parts procurement cost calculation unit 107>
The on-site parts procurement cost calculation unit 107 calculates the total cost required to procure countermeasure parts from other machines installed at the operation site, including the machine operation loss cost (second operation loss cost) C _GK due to machine downtime.

Figure 14 shows the processing procedure of the on-site parts procurement cost calculation unit 107.

In FIG. 14, the processing of steps S501, S502, and S503 is substantially the same as the processing of steps S5501, S5502, and S5503 shown in FIG. 12. In the case of on-site parts procurement, there is no part procurement cost such as the warehouse parts procurement cost in step S402, so there is no need to perform the processing equivalent to step S402 in FIG. 13.

In step S501, the on-site parts procurement cost calculation unit 107 acquires information about machines located at the operation site from the machine information database D005, in step S502, acquires information about compatible parts for each of the countermeasure parts identified by the countermeasure part estimation unit 103, and in step S503, calculates the on-site parts procurement time T _G.

In FIG. 14, the processes of steps S501, S502, and S503 may be omitted, and the on-site parts procurement time T _G calculated in step S503 in FIG. 12 may be used in step S503.

In Figure 14, the processing in steps S504 and S505 is the same as that in steps S404 and S405 shown in Figure 13, except for the parameters handled.

In steps S504 and S505, the on-site parts procurement cost calculation unit 107 calculates a machine operation loss cost (second operation loss cost) C _GK due to machine downtime when on-site parts procurement is performed to procure countermeasure parts (compatible parts) from other machines located at the same operating site, based on the on-site parts procurement time (second procurement time) T _G and the information (sixth information) stored in the failure/repair history database D001, the site database D004, and the machine information database D005 of the storage device 200.

At this time, as in the case of calculating the machine operation loss cost (first operation loss cost) C _SK in steps S404 and 405 by the warehouse parts procurement cost calculation unit 106, the downtime D _GK of the broken machine is predicted in step S504, and in step S505, the machine operation loss cost _{C GK due to the machine downtime D GK is} calculated using the following equation (6), which is similar to the above-mentioned equation (4).
C _GK = (P _r /A) x D _GK x W _K (6)

In step S506, the on-site parts procurement cost calculation unit 107 calculates the on-site total procurement cost (second procurement total cost) CG_total required for on-site parts procurement to procure the required quantity of countermeasure parts from other machines located at the same operation site based on the machine operation loss cost (second operation loss cost) _CGK calculated as described _above .

Specifically, the on-site parts procurement cost calculation unit 107 obtains the “repair cost” _CV for part replacement and fault repair from the failure/repair history database D001, and calculates the total on-site procurement cost _{CG_total} by adding up the operation loss cost _CDK due to machine downtime and the “repair cost” _CV according to the following formula (7).
C _{G_total} = C _DK + C _V (7)

<Parts Procurement Method Determination Unit 108>
The parts procurement method determination unit 108 determines a parts procurement method that is recommended for repairing a failure when an abnormality is detected.

Specifically, the parts procurement method determination unit 108 compares the warehouse parts procurement time (first procurement time) T _S calculated by the warehouse parts procurement time calculation unit 104 with the on-site parts procurement time (second procurement time) T _G calculated by the on-site parts procurement time calculation unit 105, and if T _S ≧ T _G , determines that on-site parts procurement is the parts procurement method recommended based on the parts procurement time, and if T _S < T _G , determines that warehouse parts procurement is the parts procurement method recommended based on the parts procurement time.

In addition, the parts procurement method determination unit 108 compares the warehouse procurement total cost (first procurement total cost) C _{S_total} calculated by the warehouse parts procurement cost calculation unit 106 with the on-site procurement total cost (second procurement total cost) C _{G_total} calculated by the on-site parts procurement cost calculation unit 107, and if C _{S_total} ≧ C _{G_total} , determines that on-site parts procurement is the parts procurement method recommended based on the parts procurement cost, and if C _{S_total} < C _{G_total} , determines that warehouse parts procurement is the parts procurement method recommended based on the parts procurement cost.

<Output Unit 109>
The output unit 109 transmits the various information obtained from the machine condition analysis unit 102 to the parts procurement method determination unit 108 as described above to an information presentation device 50, such as a smartphone, carried by relevant parties including customers (machine owners, users, agents or sales offices) via the communication device 100b.

The output unit 109 transmits the following information to the information presentation device 50.

Fault detection time: the time when the soundness index exceeds a predetermined threshold value (when it is determined to be abnormal) in the machine state analysis unit 102. Fault mode: the fault mode when the soundness index exceeds a predetermined threshold value in the machine state analysis unit 102. Countermeasure parts list: a list of countermeasure parts identified by the countermeasure parts estimation unit 103. Estimated time required to procure countermeasure parts from a warehouse: warehouse parts procurement time T _S calculated by the warehouse parts procurement time calculation unit 104.
Estimated cost required to procure countermeasure parts from the warehouse: total warehouse procurement cost C _{S_total} calculated by the warehouse part procurement cost calculation unit 106
Estimated time required to procure countermeasure parts from the site: On-site parts procurement time _T calculated by the on-site parts procurement time calculation unit 105
Estimated cost required to procure countermeasure parts from the site: On-site procurement total cost C _{G_total} calculated by the on-site part procurement cost calculation unit 107
- Part procurement method recommended based on part procurement time: A part procurement method determined by the part procurement method determination unit 108 based on the part procurement time. - Part procurement method recommended based on part procurement cost: A part procurement method determined by the part procurement method determination unit 108 based on the part procurement cost. In addition, the output unit 109 may further transmit the following information to the information presentation device 50.

・Warehouse parts procurement cost C _S
・Machine downtime _DSK , _DGK
- Machine downtime _DSK , _DGK due to loss of machine operation _CSK , _CGK
This information is displayed on an information display device, allowing users and other interested parties to check the content of the information.

The output unit 109 also outputs a display command to the information presentation device 50 to display the various pieces of information described above in an easy-to-understand manner for the relevant parties.

Figure 15 shows an example of a display displayed on the screen of the information presentation device 50 in response to a display command from the output unit 109.

In FIG. 15, reference numeral 300 denotes a display area for procurement information displayed on the screen of the information presentation device 50. In the display area 300, a failure information list 301 including "failure detection time" and "failure mode", a tab 302 for a countermeasure parts list, and a tab 303 for procurement-related information are displayed.

In the display area 300, when the countermeasure parts list tab 302 is touched with a finger, the screen display switches to the countermeasure parts list display area 304, where the countermeasure parts list including the part names and required quantities is displayed. When the procurement related information tab 303 is touched with a finger, the screen display switches to the procurement related information display area 305, where the warehouse tab 305a, the site tab 305b, the warehouse and site tab 305c, and the recommended procurement method tab 305d are displayed. Note that when there are multiple parts included in the countermeasure parts list display area 304, it may be the case that the "warehouse" or the "site" is more advantageous in terms of time and cost for each part. Therefore, in addition to the part name and required quantity, information on the recommended procurement method may be displayed. This information includes the request contact information for the supplier, such as a phone number and an email address, and by selecting the display of "warehouse" or "site", the part is directly ordered.

In addition, when the warehouse tab 305a is touched with a finger in the display area 305, the screen display is switched to a display area 306A related to warehouse procurement, where a procurement time tab 306a and a procurement cost tab 306b are displayed. Furthermore, when the procurement time tab 306a is touched with a finger in the display area 306A, the display screen is switched to a warehouse procurement time display area 307a, where the warehouse parts procurement time T _S calculated by the warehouse parts procurement time calculation unit 104 is displayed, and when the procurement cost tab 306b is touched with a finger, the display screen is switched to a warehouse procurement cost display area 307b, where the warehouse parts procurement cost C _{S_total} calculated by the warehouse parts procurement cost calculation unit 106 is displayed.

Similarly, when the on-site tab 305b is touched with a finger in the display area 305, the display screen switches to a display area 306B relating to on-site procurement, and a procurement time tab 306c and a procurement cost tab 306d are displayed. Furthermore, when the procurement time tab 306c is touched with a finger in the display area 306B, the display screen switches to a on-site procurement time display area 307c, and the on-site parts procurement time T _G calculated by the on-site parts procurement time calculation unit 105 is displayed, and when the procurement cost tab 306d is touched with a finger, the display screen switches to a on-site procurement cost display area 307d, and the on-site parts procurement cost C _{G_total} calculated by the on-site parts procurement cost calculation unit 107 is displayed.

In the display area 305, when the warehouse and site tabs 305c are touched with a finger, the display screen switches to a display area 308a relating to warehouse procurement and site procurement, where the warehouse parts procurement time T _S and warehouse parts procurement cost C _{S_total} are displayed in comparison with the site parts procurement time T _G and site parts procurement cost C _{G_total} . In the display area 305, when the recommended procurement method tab 305d is touched with a finger, the display screen switches to a display area 308b relating to the recommended procurement method, where the parts procurement method recommended based on the parts procurement time, the procurement time, and the parts procurement method recommended based on the parts procurement cost and the procurement cost are displayed in comparison.

The transition of the display from the display area 300 to the display area 308b may be either a hierarchical display or a parallel display, or a combination of both. Since the inventory status of parts may change, an update tab may be provided so that if time has passed since the display, the latest inventory can be updated by pressing the tab. In this case, a history tab may also be provided so that the previous display results can be referenced by pressing the tab.

In addition, the display items and display methods can be changed as appropriate depending on the application software running on the information presentation device 50.

～Effect～
According to this embodiment, when multiple machines 10a, 10b, 10c, etc. are installed at the same operating site, the warehouse parts procurement time when parts required to repair the machines are procured from the warehouse 40 and the on-site parts procurement time when parts are procured from other machines at the operating site are calculated, and the warehouse parts procurement time and the on-site parts procurement time are transmitted to the information presentation device 50 together with other related information, so that parts procurement can be performed taking into account both the warehouse parts procurement time and the on-site parts procurement time, and parts procurement can be expedited. This minimizes the downtime of machines due to breakdowns, improves the operating rate of the machines, and is expected to maximize profits from the operation of the machines.

In addition, in this embodiment, the warehouse parts procurement cost when parts required to repair the machine are procured from the warehouse 40 and the on-site parts procurement cost when procured from another machine at the operating site are calculated, and the warehouse parts procurement cost and on-site parts procurement cost in addition to the warehouse parts procurement time and on-site parts procurement time are transmitted to the information presentation device 50. This makes it possible to procure parts while taking into account the parts procurement cost, which not only speeds up parts procurement but also optimizes parts procurement in terms of cost, and is expected to maximize profits from machine operation.

In addition, in this embodiment, the warehouse parts procurement time is compared with the on-site parts procurement time, and the warehouse parts procurement or on-site parts procurement associated with the shorter procurement time is determined as the recommended parts procurement method based on the parts procurement time. The warehouse parts procurement cost is compared with the on-site parts procurement cost, and the warehouse parts procurement or on-site parts procurement associated with the shorter procurement cost is determined as the recommended parts procurement method based on the parts procurement cost. The determined procurement method is transmitted to the information presentation device 50, so that the users and other related parties can easily decide whether to procure parts for repairing a breakdown through warehouse parts procurement or on-site parts procurement.

This section describes a maintenance support system in a second embodiment of the present invention.

In the first embodiment, on the premise that all parts are procured from either the warehouse 40 or other machines located at the same operating site, the warehouse parts procurement time and the on-site parts procurement time, or the warehouse parts procurement cost and the on-site parts procurement cost, are calculated, and these procurement times and procurement costs are presented to the relevant parties, or the shorter of the warehouse parts procurement time and the on-site parts procurement time, or the cheaper of the warehouse parts procurement cost and the on-site parts procurement cost, is determined as the recommended parts procurement time or parts procurement cost, and presented to the relevant parties.

In this embodiment, the control device calculates the procurement time and multiple procurement costs required to procure the countermeasure parts from the warehouse 40 and other machines located at the same operating site, and transmits at least one of the multiple procurement times and at least one of the multiple procurement costs to the information presentation device via the communication device 100b, which is the same as the first embodiment.

The difference between this embodiment and the first embodiment is that in combined procurement that combines warehouse procurement, in which some of the countermeasure parts are procured from the warehouse 40, and on-site procurement, in which the remaining countermeasure parts are procured from other machines located at the same operating site, the control device transmits the shortest procurement time of the multiple procurement times to the information presentation device via the communication device. Also, in this embodiment, procurement times and procurement costs are calculated for all combined procurements.

Here, when procuring parts by combining warehouse 40 and other machines located at the same operating site, such as procuring some of the countermeasure parts from warehouse 40 and the remaining countermeasure parts from other machines located at the same operating site, the number of combinations will be generated according to the number of countermeasure parts.

For example, if there are three countermeasure components, a, b, and c, there are six possible combinations, and in this embodiment, the procurement time or procurement cost is calculated for all of these combinations using various information stored in databases D001 to D006.

Figure 16 is a functional block diagram showing the processing contents of the control device 100a in this embodiment. The control device 100a is composed of a machine condition analysis unit 102, a countermeasure part estimation unit 103, a part procurement combination creation unit 210, a part procurement time calculation unit 211, a part procurement cost calculation unit 212, and an output unit 109, and processing is performed in the order of the arrows shown in the figure. The processing contents of the machine condition analysis unit 102, the countermeasure part estimation unit 103, and the output unit 109 are the same as those in the first embodiment.

The parts procurement combination creation unit 210 of the control device 100a creates a list of combinations of procurement sources for all countermeasure parts. For any countermeasure part j, there are two options for the procurement source: "warehouse" and "site". Therefore, the number of combinations of parts procurement sources is m = ²ⁿ .

Figure 17 shows the data structure of combinations in the parts procurement combination creation unit 210.

The parts procurement time calculation unit 211 calculates parts procurement times for all parts procurement combinations. Specifically, for any parts procurement combination comb(i), the procurement time of the parts is calculated according to the procurement source of each countermeasure part. If the procurement source of the parts is the "warehouse", the parts procurement time is calculated using the method described in the warehouse parts procurement time calculation unit 104. If the procurement source of the parts is the "worksite", the parts procurement time is calculated using the method described in the worksite parts procurement time calculation unit 105. After calculating the procurement times of all countermeasure parts, the longest procurement time among the procurement times of all countermeasure parts is set as the procurement time of the parts procurement combination comb(i). That is,
T _comb(i) = Max {T ₁ , T ₂ , T ₃ , ..., T _n } (8)
Here, T _comb(i) is the procurement time of the part procurement combination (i), T _j is the procurement time of the part j in the part procurement combination (i), and “Max{ }” is an operator for obtaining the maximum value.

The parts procurement cost calculation unit 212 calculates the parts procurement costs for all parts procurement combinations. Specifically, for any parts procurement combination comb(i), the procurement cost of that part is calculated according to the procurement source of each countermeasure part. If the procurement source of the part is the "warehouse", the parts procurement cost is calculated using the method described in the warehouse parts procurement cost calculation unit 106. If the procurement source of the part is the "site", the parts procurement cost is calculated using the method described in the site parts procurement cost calculation unit 107. After calculating the procurement costs of all countermeasure parts, the sum of the procurement costs of all countermeasure parts is set as the procurement cost of the parts procurement combination comb(i). That is,
C _comb(i) = Σ{C ₁ , C ₂ , C ₃ , ..., C _n } (9)
Here, C _comb(i) is the procurement time of the parts procurement combination (i), and C _j is the procurement cost of the parts j in the parts procurement combination (i).

Figure 18 shows some of the calculation results of the parts procurement time calculation unit 211 and parts procurement cost calculation unit 212 of the control device 100a. The procurement time and procurement cost for each part procurement combination are displayed.

The output unit 109 outputs the minimum procurement time, or the minimum procurement time and the minimum procurement cost, from among the multiple procurement times and multiple procurement costs calculated as described above.

In the case of Example 2, the display area 308b displays, in comparison, the part procurement combination with the shortest procurement time and the part procurement combination with the shortest procurement cost among all part procurement combinations.

According to this embodiment, in combined procurement that combines warehouse procurement, in which some of the countermeasure parts are procured from the warehouse 40, and on-site procurement, in which the remaining countermeasure parts are procured from other machines located at the same operating site, the procurement time and procurement cost are calculated for all combined procurements, so that it is possible to calculate the procurement time and procurement cost by dividing the countermeasure parts by part, and it is possible to calculate a procurement time or procurement cost that is shorter than that of the first embodiment for each of the procurement time and procurement cost, thereby making it possible to further speed up and optimize parts procurement.

～Other～
Although the preferred embodiment of the present invention has been described above, it goes without saying that the present invention is not limited to the above embodiment. Also, although the embodiment of the maintenance support device of the present invention has been described using a construction machine as an example, it goes without saying that the present invention can be applied to machines other than construction machines.

1 Maintenance support system 10 Machine group 10a, 10b, 10c... Machine 11 Sensor 12 Control device 13 Communication device 20 Network 40 Warehouse 50 Information presentation device (smartphone)
Reference Signs List 100 Server 100a Control device 100b Communication device 102 Machine state analysis unit 103 Countermeasure parts estimation unit 104 Warehouse parts procurement time calculation unit 105 On-site parts procurement time calculation unit 106 Warehouse parts procurement cost calculation unit 107 On-site parts procurement cost calculation unit 108 Parts procurement method determination unit 109 Output unit 200 Storage device D001 Failure/repair history database D002 Countermeasure parts database D003 Warehouse database D004 On-site database D005 Machine information database D006 Parts compatibility database 210 Parts procurement combination creation unit 211 Parts procurement time calculation unit 212 Parts procurement cost calculation unit

Claims (14)

A maintenance support system for multiple machines located at the same operating site,
A control device for performing calculations;
A storage device that stores data necessary for the arithmetic processing of the control device;
a communication device;
The control device includes:
Analyzing the state of each machine based on the operation data of each of the plurality of machines acquired via the communication device;
When a machine is determined to be abnormal by the analysis, a countermeasure part and a quantity thereof required to repair the failure of the machine are identified based on the first information stored in the storage device;
Calculating a plurality of procurement times required for procuring the countermeasure parts from a warehouse and other machines located at the same operating site;
A maintenance support system comprising: a communication device that transmits at least one of the plurality of procurement times to an information presentation device via the communication device. The maintenance support system according to claim 1,
The control device includes:
calculating a first procurement time required for procuring the countermeasure part from a warehouse based on the second information stored in the storage device;
calculating a second procurement time required for procuring the countermeasure part from another machine located at the same operating site based on the third information stored in the storage device;
A maintenance support system, comprising: a communication device that transmits the first procurement time and the second procurement time to an information presentation device via the communication device. The maintenance support system according to claim 2,
The control device further comprises:
Calculating a first procurement cost required for procuring the warehouse parts based on the fourth information stored in the storage device;
Calculating a first operation loss cost due to downtime of the machine when procuring the warehouse parts based on the first procurement time and the fifth information stored in the storage device;
Calculating a first total procurement cost required for procuring the warehouse parts based on the first procurement cost and the first operation loss cost;
Calculating a second operation loss cost due to downtime of the machine when procuring the on-site parts based on the second procurement time and the sixth information stored in the storage device;
Calculating a second total procurement cost required for procuring the on-site parts based on the second operation loss cost;
A maintenance support system characterized in that the first procurement time, the second procurement time, the first total procurement cost, and the second total procurement cost are transmitted to an information presentation device via the communication device. The maintenance support system according to claim 2,
The control device compares the first procurement time with the second procurement time, and if the first procurement time is equal to or greater than the second procurement time, determines that the on-site parts procurement is the recommended parts procurement method based on the parts procurement time, and if the first procurement time is less than the second procurement time, determines that the warehouse parts procurement is the recommended parts procurement method based on the parts procurement time, and transmits the determined recommended parts procurement method to the information presentation device via the communication device. The maintenance support system according to claim 3,
The control device includes:
comparing the first procurement time with the second procurement time, and if the first procurement time is equal to or longer than the second procurement time, determining the on-site parts procurement as a recommended parts procurement method, and if the first procurement time is shorter than the second procurement time, determining the warehouse parts procurement as a recommended parts procurement method, and transmitting the determined recommended parts procurement method to the information presentation device via the communication device;
A maintenance support system characterized by comparing the first procurement total cost with the second procurement total cost, and if the first procurement total cost is equal to or greater than the second procurement total cost, determining that the on-site parts procurement is the recommended parts procurement method, and if the first procurement total cost is less than the second procurement total cost, determining that the warehouse parts procurement is the recommended parts procurement method, and transmitting the determined recommended parts procurement method to the information presentation device via the communication device. The maintenance support system according to claim 2 ,
A maintenance support system characterized in that the information presentation device is a smartphone carried by a person involved in the maintenance support system, and the control device displays the first procurement time and the second procurement time on the smartphone. The maintenance support system according to claim 1 or 2,
A maintenance support system characterized in that the control device calculates a health index of the machines based on the operation data of each of the multiple machines obtained via the communication device, determines whether the condition of the machines is normal or abnormal based on the health index, and analyzes the condition of each of the machines. The maintenance support system according to claim 7,
When a machine is determined to be abnormal by the analysis, the control device identifies a failure mode based on the value of the health index used in analyzing the state of each machine;
The control device is characterized in that it identifies the countermeasure parts and their quantities required to repair the failure mode based on information including the parts and their quantities required to repair the failure for each failure mode stored as the first information. The maintenance support system according to claim 3,
The control device calculates a first downtime of the machine determined to be abnormal based on information including the number of days until failure and the time required for repair for each case of failure and repair stored as the fifth information in the storage device and the first delivery time,
a maintenance support system which calculates the first operating loss cost based on the first downtime, an average excavation volume per unit time of a machine which uses a part compatible with the countermeasure part and which is stored as the fifth information in the storage device, and information including an expected profit of a construction project and a total excavation volume of the construction project. The maintenance support system according to claim 3,
the control device calculates a second downtime of the machine determined to be abnormal based on information including the number of days until failure and the time required for repair for each case of failure and repair stored as the sixth information in the storage device and the second delivery time;
a maintenance support system which calculates the second operating loss cost based on the second downtime, an average excavation volume per unit time of a machine which uses a part compatible with the countermeasure part and which is stored as the sixth information in the storage device, and information including an expected profit of the construction project and a total excavation volume of the construction project. The maintenance support system according to claim 1,
The control device includes:
A maintenance support system characterized in that, in a combined procurement that combines warehouse procurement, in which some of the countermeasure parts are procured from the warehouse, and on-site procurement, in which the remainder of the countermeasure parts are procured from other machines located at the same operating site, the shortest procurement time among the multiple procurement times is transmitted to an information presentation device via the communication device. The maintenance support system according to claim 11,
The maintenance support system is characterized in that the control device calculates the multiple procurement times for all of the combined procurements. The maintenance support system according to claim 11,
The control device further comprises:
Calculating a plurality of procurement costs required for procuring the countermeasure parts from the warehouse and other machines located at the same operating site;
A maintenance support system characterized in that a minimum procurement cost among the plurality of procurement costs is transmitted together with the minimum procurement time to an information presentation device via the communication device. The maintenance support system according to claim 13,
The maintenance support system is characterized in that the control device calculates the multiple procurement costs for all of the combined procurements.

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