JP2023035417A - Maintenance support system - Google Patents

Abstract

To quicken procurement of components by taking into consideration both procurement of components necessary for repairing a machine from a warehouse and procurement from another machine of an operation site when a plurality of machines are installed at the same operation site to perform optimal component adjustment.SOLUTION: A control device analyzes a state of each machine based on operation data of a plurality of machines acquired via a communication device, and when a certain machine is determined to be abnormal by analysis, specifies necessary countermeasure components and a necessary quantity for repairing failure of the machine, calculates a plurality of procurement times of countermeasure components required for procurement of components obtained from a warehouse and other machines arranged at the same operation site, and transmits at least one procurement time of a plurality of procurement times to an information presentation device via the communication device.SELECTED DRAWING: Figure 2

Description

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

For machines that continue to operate for long periods of time, such as construction machinery and wind turbines, it is important to improve the operating rate in order to maximize profits for customers (machine owners, users, distributors or sales offices). . Therefore, there is a need for a maintenance support system that can appropriately and quickly replace or repair parts before a failure occurs, or that can quickly repair and restart machinery if a failure does occur.

In order to realize such a maintenance support system, a "maintenance support system" is required that equips machines with sensors, collects and analyzes sensor data, and constantly monitors the state of machines while sending appropriate maintenance instructions. is.

For example, in Patent Document 1, by estimating the failure time from the failure prediction of a part and comparing it with the time required for new production of the part, if the period until the assumed failure is longer than the production required time, the part production is instructed. However, if it is determined that the period until the contingency failure is less than the required production time, a mechanism has been proposed to instruct the arrangement of inventory parts.

On the other hand, since multiple machines such as construction machines and wind turbines are often installed at the same operating site, systems have been proposed to manage multiple machines as assets. For example, Patent Literature 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.

Japanese Unexamined Patent Application Publication No. 2014-2660 JP-A-2003-186949

As mentioned above, when an abnormality is detected in a machine, it is desired to deal with the abnormality at an early stage. If, for example, a single core part is out of stock, or if transportation takes time, the machine may have to be out of service for a long period of time, depending on the parts procurement period. From this point of view, there is a demand for quick procurement of parts required for maintenance or repair of machines.

Although the technology disclosed in Patent Document 1 aims to expedite parts procurement by failure sign detection, there is a risk that the time required to procure parts will increase the downtime of the machine. Construction machinery and wind turbines, in particular, often operate in remote locations, and it often takes several days to transport replacement parts from the warehouse to the machine's operating site. There is concern about an increase in machine downtime.

On the other hand, if there are multiple machines in the same operating site, the same or similar model as the failed machine may be installed, and these machines have the same parts or compatible parts as the replacement parts of the failed machine. (Both are collectively referred to as "compatible parts" below). If other machines that have such compatible parts are out of service, or are scheduled to be out of service due to changes in the operating schedule, it is possible to "source" the parts from such machines on the shop floor. This leads to faster parts procurement and contributes to improved machine operating rates.

However, the above-mentioned Patent Document 2 only discloses a technique for managing multiple machines installed at the same site as assets, and the supply of compatible parts between machines of the same (or similar) model is accommodated. No mention is made of the mechanism for doing so.

The present invention has been made in view of such problems, and its purpose is to procure the parts necessary for repairing the machine from the warehouse or to To provide a maintenance support system for expediting parts procurement by optimally adjusting parts considering both whether to procure parts from other machines on site.

In order to achieve the above object, the present invention provides a maintenance support system for a plurality of machines located at the same work site, comprising a control device that performs arithmetic processing and data necessary for the arithmetic processing of the control device. and a communication device, wherein the control device analyzes the state of each machine based on the operation data of each of the plurality of machines acquired via the communication device, and the analysis When a certain machine is determined to be abnormal by the above, based on the first information stored in the storage device, the countermeasure parts and their quantity required to repair the failure of the machine are specified, and the countermeasure parts are calculating a plurality of procurement times required to procure parts from the warehouse and other machines located at the same operation site, and providing information on at least one procurement time from among the plurality of procurement times via the communication device; shall be sent to the presentation device.

Preferably, the control device calculates a first procurement time required for warehouse parts procurement for procuring the countermeasure parts from a warehouse based on the second information stored in the storage device, and calculates the first procurement time stored in the storage device. 3 Based on the information, a second procurement time required for on-site parts procurement for procuring the countermeasure parts from other machines located at the same operation site is calculated, and the first procurement time and the second procurement time are calculated. It is transmitted to the information presentation device via the communication device.

The control device is a combined procurement that combines warehouse procurement, in which part of the countermeasure parts are procured from the warehouse, and on-site procurement, in which the rest of the countermeasure parts are procured from another machine located at the same operation site. , the minimum lead time among the plurality of lead times may be transmitted to the information presentation device via the communication device.

According to the present invention, it is possible to calculate a plurality of procurement times required to procure countermeasure parts not only from a warehouse but also from other machines located at the same operation site, and to present information on at least one of the procurement times. Since it is sent to the equipment, it is possible to procure parts by taking into account both the warehouse parts procurement time and the on-site parts procurement time, thereby speeding up parts procurement. This can be expected to minimize machine downtime due to failures, improve machine availability, and maximize profits from machine operation.

1 is a diagram showing a network configuration including a maintenance support system, a group of machines for exchanging information with this maintenance support system, a parts warehouse, and an information presentation device in the first embodiment of the present invention; FIG. It is a functional block diagram which shows the processing content of a control apparatus. 3 is a diagram showing the structure of a database stored in a storage device; FIG. It is a figure which shows an example of the threshold value used for the distribution of the abnormality degree of a certain machine, and state determination. It is a figure which shows an example of the data structure of a failure / repair log|history database. It is a figure which shows an example of the data structure of a countermeasure components database. It is a figure which shows an example of the data structure of a warehouse database. It is a figure which shows an example of the data structure of a field database. It is a figure which shows the processing procedure of a warehouse parts procurement time calculation part. It is a figure which shows an example of the data structure of a machine information database. It is a figure which shows an example of the data structure of a components compatibility database. It is a figure which shows the processing procedure of an on-site parts procurement time calculation part. It is a figure which shows the processing procedure of a warehouse parts procurement cost calculation part. It is a figure which shows the processing procedure of an on-site parts procurement cost calculation part. FIG. 10 is a diagram showing a display example displayed on the screen of the information presentation device according to a display command from the output unit; FIG. 7 is a functional block diagram showing the processing contents of a control device in the second embodiment of the present invention; It is a figure which shows an example of the data structure of the parts procurement combination which is the result of the parts procurement combination preparation part in the 2nd Example of this invention. It is a figure which shows an example of the data structure of the part procurement time calculation part in the 2nd Example of this invention, and the calculation result of parts procurement cost calculation.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings in the case where the machine targeted by the maintenance support system is a hydraulic excavator, which is a representative example of construction machines.

~Overall composition~
FIG. 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 for exchanging information with this maintenance support system, a parts warehouse, and an information presentation device. In the figure, the maintenance support system is indicated by reference numeral 1, the machine group by reference numeral 10, the parts warehouse by reference numeral 40, and the information presentation device by reference numeral 50, respectively. In the following, the parts warehouse may be simply referred to as warehouse.

In FIG. 1, a maintenance support system 1 is a system that monitors the status of machines 10a, 10b, 10c, . I have. 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 arithmetic processing of the control device 100a. The maintenance support system 1 is installed, for example, in a service office in the management office of the manufacturer.

The control device 100a is composed of one or a plurality of computers including a power supply, a CPU (Central Processing Unit), a memory, an input/output device, and the like. The control device 100a is connected to a network 20 such as a LAN (Local Area Network) or the Internet 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 inside 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 an electronic file format or a database format such as a relational database.

The machines 10a, 10b, 10c, . Each of the machines 10a, 10b, 10c, . Information (operation data) such as pressure and temperature can be transmitted to the maintenance support system 1 via the communication device 13 . Machines 10a, 10b, 10c, .

In FIG. 1, the machines 10a, 10b, 10c, . Instead, it may be another machine such as a windmill.

The parts warehouse 40 stores parts used by the machine group 10, manages inventory of the stored parts, and manages receipt and shipment of parts. The parts warehouse 40 includes a control device and a communication device (not shown), 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 represented by, for example, a smart phone (smartphone), and has various functions such as an input function, a display function, and a photographing function. 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 types of information (described later) including procurement information transmitted from the server 100, and provides information to customers (machine owners, users, agents, etc.). or business office). The user is, for example, an inspector at an operation site, a service person at a sales office, or the like. A person other than the customer is, for example, a maintenance inspector of the manufacturer.

~Control device and storage device~
FIG. 2 is a functional block diagram showing the processing contents of the control device 100a. The control device 100a includes a machine condition analysis unit 102, a countermeasure parts estimation unit 103, a warehouse parts procurement time calculation unit 104, a field parts procurement time calculation unit 105, a warehouse parts procurement cost calculation unit 106, and a field parts procurement cost. It is composed of a calculation unit 107, a parts procurement method determination unit 108, and an output unit 109, and processes are executed in the order indicated by the arrows in the figure.

FIG. 3 is a diagram showing the configuration of the database stored in the storage device 200. As shown in FIG. The storage device 200 has a failure/repair history database D001, a countermeasure parts database D002, a warehouse database D003, a field 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~
The control device 100a is characterized by analyzing the state of each machine based on the operation data of each machine acquired via the communication device 100b. , based on the first information (described later) stored in the storage device 200, the countermeasure parts required to repair the failure of the machine and the quantity thereof are specified, and the countermeasure parts are arranged in the warehouse 40 and the same operation site. A plurality of procurement times required for procuring parts to be procured from other machines 10a, 10b, 10c, . Send.

The control device 100a has the processing units 102 to 109 shown in FIG. 2 in order to execute the above processing.

The processing contents of each unit of the control device 100a will be described below.

<Machine state analysis unit 102>
The machine state analysis unit 102 communicates operation data including operation information such as cumulative operation time and measurement information such as pressure and temperature measured by the sensor 11 from all the machines 10a, 10b, 10c, etc. of the machine group 10. The state of each machine is analyzed based on the operation data acquired via the device 100b.

Further, the machine state analysis unit 102 calculates the soundness index of each machine based on the operation data of each of the machines 10a, 10b, 10c, . By categorizing, the state of each machine is analyzed.

Specifically, the machine condition analysis unit 102 calculates a soundness index from the operation data acquired from each machine using algorithms such as data mining, machine learning, and residual life diagnosis. In this embodiment, a state analysis method using an anomaly detection algorithm will be described.

The anomaly detection algorithm creates physical quantities called "features" from the operating data of each machine, and creates a normal model from the features obtained from a normal machine. A feature quantity is a combination of multiple physical quantities extracted from the operation data of each machine, and is described in vector format. A combination of a plurality of feature quantities described in vector format is hereinafter referred to as a feature quantity vector. A normal model corresponding to a feature vector can be described by the mean (hereafter referred to as mean vector) and variance of the feature vector obtained by a normal machine. The degree of anomaly for each machine is calculated as the degree of anomaly by quantifying the distance between the feature vector and the average 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).

where 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 variance ). The numerator on the right side of Equation (1) indicates the square of the distance from the new feature amount vector x to the average vector μ, and the denominator on the right side indicates the variance of the feature amount vector x used to calculate the average vector μ.

By using the degree of abnormality a, which is the magnitude of the degree of abnormality, as the soundness index of the machine, it is possible to determine whether the state of the machine is normal or abnormal. In a method that is often used, a threshold value for the degree of anomaly a is set, and when the degree of anomaly a exceeds the threshold, it is determined to be "abnormal", and when it does not exceed the threshold, it is determined to be "normal".

FIG. 4 is a diagram showing an example of the distribution of the degree of anomaly a of a certain machine and threshold values used for state determination. The threshold in the figure is the boundary line between abnormal and normal calculated from the degree of abnormality a of the machine. Using the degree of anomaly a and a threshold value, an algorithm for judging a machine anomaly can be described in the following pseudocode.

<Countermeasure component estimation unit 103>
When the machine state analysis unit 102 determines that the abnormality degree a of the operation data of a certain machine exceeds a threshold and is determined to be abnormal (hereinafter sometimes referred to as "abnormality detected"), the countermeasure component estimation unit 103 , based on the information (first information) stored in the failure/repair history database D001 and the countermeasure parts database D002 of the storage device 200, the countermeasure parts required to repair the failure of the machine and its quantity are identified.

FIG. 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 soundness index at the time of analysis for each failure/repair case. It stores a list of replacement parts to be replaced, time required for repair, repair cost, and the like.

FIG. 6 is a diagram showing an example of the data structure of the countermeasure component database D002. The countermeasure parts database D002 stores the part number of the countermeasure parts, the name of the countermeasure parts, and the quantity of the countermeasure parts required to repair the failure for each failure mode.

First, when the abnormality degree a (soundness index) of the operation data of a certain machine exceeds a threshold and it is determined that the machine is abnormal, the countermeasure component estimation unit 103 detects the abnormal condition used for analyzing the state of the machine. A failure mode is identified based on the value of degree a (soundness index), and a list of countermeasure parts including countermeasure parts and their quantity required to repair this failure mode is generated.

Specifically, the countermeasure component estimation unit 103 selects a failure mode corresponding to the soundness index value at the time of analysis from among the failure modes stored in the failure/repair history database D001, and selects the selected failure mode is assumed to be the failure mode when the machine state analysis unit 102 detects an abnormality.

In addition, the countermeasure parts estimation unit 103 uses the information stored in the countermeasure parts database D002 to obtain the information on the parts required to repair the failure for each failure mode and the quantity thereof stored in the countermeasure parts database D002. Based on the above, acquire and identify countermeasure parts and their quantity required to repair the identified failure mode.

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

<Warehouse part procurement time calculation unit 104>
The warehouse parts procurement time calculation unit 104 calculates the time required for warehouse parts procurement to procure the countermeasure parts from the parts warehouse 40 based on the information (second information) stored in the warehouse database D003 and the field database D004 of the storage device 200. A warehouse part procurement time (first procurement time) _TS is calculated.

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

FIG. 7 is a diagram showing an example of the data structure of the warehouse database D003. The warehouse database D003 stores basic information of the warehouse and a list of all parts stored in the warehouse. The basic information of the warehouse includes at least the name of the warehouse, the address of the warehouse, the contact information of the warehouse, and the like. The parts list includes at least part numbers, part names, weights, dimensions, unit prices, inventory quantities, means of transportation, and the like for all parts stored in the warehouse.

FIG. 8 is a diagram showing an example of the data structure of the field database D004. The site database D004 contains at least the name of the site, the address of the site, the period of the project being implemented at the site, the expected profit of the project, the excavation plan of the project, and a list of machines owned at the site. Remember.

FIG. 9 is a diagram showing the processing procedure of the warehouse part procurement time calculation unit 104. As shown in FIG.

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

Next, in step S4402, when procuring parts from the warehouse 40 to the on-site machine based on the information of the countermeasure parts weight, dimensions, inventory quantity, transportation means, warehouse address, and operation site address acquired in step S4401, to calculate the warehouse part procurement time _TS . Specifically, when there is a sufficient inventory quantity, the means of transport for transporting the repaired parts is specified based on information on the weight, dimensions, warehouse address, site address, and means of transport of the repaired parts. Estimated transportation time required to transport countermeasure parts from the warehouse 40 to the site is calculated as a warehouse parts procurement time _TS based on the warehouse address and the site address. If the inventory quantity is insufficient, the warehouse parts procurement time _TS includes the time required to procure the insufficient quantity of parts from the outside.

<On-site parts procurement time calculation unit 105>
The on-site parts procurement time calculation unit 105 determines whether the countermeasure parts described above are arranged at the same operation site based on the information (third information) stored in the machine information database D005 and the parts compatibility database D006 of the storage device 200. The on-site parts procurement time (second procurement time) _TG required for on-site parts procurement from other machines is calculated.

On-site parts procurement time _TG is the time from when the soundness index exceeds the threshold and a machine abnormality is detected until all of the countermeasure parts can be provided from other machines located at the same operation site. means

FIG. 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 model information, operation plan, repair history, parts list, parts compatibility information, and average excavation amount per unit time for all machines in the machine group 10. . The model information stores basic information such as the model/model name, type, serial number, and date of manufacture of the machine. The operation plan includes information about 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 also referred to as compatible parts) for each part of the machine. Between compatible parts, if one part fails, the other part can be used as a substitute. The average amount of excavation per unit time is the average weight of the earth and sand excavated by the hydraulic excavator per hour in the past.

FIG. 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 the parts that all the machines in the machine group 10 have.

FIG. 12 is a diagram showing a processing procedure of the on-site parts procurement time calculation unit 105. As shown in FIG.

In step S5501, the on-site parts procurement time calculation unit 105 obtains a list of machines that can provide parts compatible with countermeasure parts (hereinafter referred to as "compatible parts machine list"), the operation plan of the machine, the parts list, and the parts compatibility information. As described above, the parts list is a list of parts that constitute each machine, and the parts compatibility information is a list of compatible parts for 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 together.

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

In step S5503, the on-site parts procurement time calculation unit 105 compares the list of compatible parts machines acquired in step S5501 with the "operation plan" of each machine, and predicts the day when compatible parts for each machine can be provided. Then, the on-site parts procurement time _TG is calculated based on the information on the compatible parts supply date. If there are multiple machines that can provide interchangeable parts, calculate all the procurement times for the interchangeable parts of the machine, select the machine with the earliest date to provide the interchangeable parts, and calculate the procurement time for the interchangeable parts for that machine. Let procurement time be _TG .

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

FIG. 13 is a diagram showing a processing procedure of the warehouse parts procurement cost calculation unit 106. As shown in FIG.

First, in steps S401 and S402, the warehouse parts procurement cost calculation unit 106 calculates information (fourth information) stored in the warehouse database D003 shown in FIG. 7 and the field database D004 shown in FIG. Then, the warehouse parts procurement cost (first procurement cost) _CS required for warehouse parts procurement to procure the necessary quantity of countermeasure parts from the warehouse 40 is calculated.

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 countermeasure parts from the warehouse database D003 in the same manner as in step S4401 of FIG. and acquires the address of the operation site from the site database D004. Further, in step S401, information on the price of countermeasure parts is obtained from the warehouse database D003.

In step S402, the warehouse parts procurement cost calculation unit 106 calculates the warehouse parts procurement cost _CS required to procure 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. Calculate

Specifically, the warehouse parts procurement cost calculation unit 106 acquires the unit price _Pi of each part from the warehouse database D003 and acquires the quantity _Mi of each part from the countermeasure parts list generated by the countermeasure parts estimation unit 103 . Also, the warehouse part procurement cost calculation unit 106 calculates the transportation cost T _i of the procured parts from the information on the means of transportation acquired from the warehouse database D003. However, when multiple parts are transported together, the combined transport cost is used.

Then, the warehouse parts procurement cost _CS is calculated using the following equation (3).

In step S403, the warehouse parts procurement cost calculation unit 106 sends countermeasure parts to the warehouse 40 based on information on the countermeasure part weight, dimensions, warehouse address, on-site address, and means of transportation, as in step S4402 of FIG. Calculate the warehouse part procurement time (first procurement time) _TS required for transportation from the factory to the site. The warehouse parts procurement cost calculation unit 106 may omit the process of step S403 and use the warehouse parts procurement time calculated in step S4402 of FIG.

In steps S404 and S405, the warehouse parts procurement cost calculation unit 106 calculates the warehouse parts procurement time (first procurement time) _TS , the failure/repair history database D001 shown in FIG. Based on the information (fifth information) stored in the field database D004 and the machine information database D005 shown in _FIG . An operation loss cost (first operation loss cost) _CSK is calculated.

First, in step S404, the warehouse parts procurement cost calculation unit 106 stores countermeasure parts in the warehouse based on the warehouse parts procurement time (first procurement time) _TS and the information stored in the failure/repair history database D001 of the storage device 200. 40, and then in step S405, based on the information stored in the field database D004 and the machine information database D005 of the storage device 200, the machine down time _DSK is calculated. A machine operation loss cost (first operation loss cost) _CSK is calculated by time _DSK .

Here, the warehouse parts procurement cost calculation unit 106 is information stored in the failure/repair history database D001. The machine downtime _DK is calculated using the information on the "required repair time". The “days until failure” is the number of days from the time when the soundness index calculated by the machine state analysis unit 102 exceeds the threshold value and the abnormality of the machine is detected until the time when the failure occurs.

_More specifically, in step S404, the warehouse parts procurement cost calculation unit 106 starts the warehouse parts procurement time _TS from the point at which the machine condition analysis unit 102 detects a machine abnormality. Estimate the estimated arrival date of parts at the site and predict the start date of machine repair. The repair start date for a machine is calculated starting from the date when all countermeasure parts arrive at the site. Next, the assumed repair time for the failure is estimated from the information on the "required repair time", and the completion date of the repair of the machine is predicted. Specifically, the estimated repair time for the failure is predicted by calculating the average of the "required repair times" for the same failure mode as the failure in question. Then, the repair completion date is predicted by adding the warehouse parts procurement time _TS to this assumed repair time. Further, in step S404, the average of the "days until failure" of the same failure mode as the failure is calculated to predict the contingency date. The predicted repair completion date and the assumed failure date are compared, and the number of days of the difference (expected failure date - repair completion date) is taken as the downtime _DK of the machine. If the difference is a negative value, the downtime _DK of the machine is assumed to be zero.

In addition, the warehouse parts procurement cost calculation unit 106 calculates the "expected profit of the construction project" _Pr and the "total excavation amount of the construction project" A stored in the site database D004 shown in FIG. Using the information stored in the machine information database D005, the "average excavation amount per unit time" _WK of machines that use parts compatible with countermeasure parts, machine downtime D _K An operation loss cost (first operation loss cost) _CSK is calculated.

Specifically, in step S405, the warehouse parts procurement cost calculation unit 106 calculates the machine downtime _DSK , the "expected profit of the construction project" _Pr , the "total excavation amount of the construction project" A, the machine From the “average excavation amount per hour” _WK , the machine operation loss cost _CSK of the relevant machine is calculated by the following formula (4).
_CSK = ( _Pr /A) x _DSK x _WK (4)

Next, in step S406, the warehouse parts procurement cost calculation unit 106 calculates necessary quantity countermeasures based on the warehouse parts procurement cost (first procurement cost) _CS and the machine operation loss cost (first operation loss cost) _CSK . A warehouse procurement total cost (first procurement total cost) _{CS_total} required for warehouse parts procurement for procuring parts from the warehouse 40 is calculated.

At this time, the warehouse parts procurement cost calculation unit 106 uses the “repair cost” _CV of the corresponding case (soundness index), which is information stored in the failure/repair history database D001 shown in FIG. A total procurement cost (first total procurement cost) _{CS_total} is calculated. "Repair cost" _CV is the cost required for repair work including parts replacement.

Specifically, the warehouse parts procurement cost calculation unit 106 sums the warehouse parts procurement cost CS, the operation loss cost _CSK , _and the “repair cost” _CV as shown in the following equation (5), and the warehouse procurement total Calculate the cost _{CS_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 cost required to procure countermeasure parts from other machines installed at the operation site, including the machine operation loss cost (second operation loss cost) _CGK due to machine downtime. Calculate the total cost.

FIG. 14 is a diagram showing the processing procedure of the on-site parts procurement cost calculation unit 107. As shown in FIG.

In FIG. 14, the processes of steps S501, S502 and S503 are substantially the same as the processes of steps S5501, S5502 and S5503 shown in FIG. In the case of on-site parts procurement, there is no parts procurement cost such as the warehouse parts procurement cost of step S402, so the process corresponding to step S402 in FIG. 13 need not be performed.

In step S501, the on-site parts procurement cost calculation unit 107 acquires information about the machines arranged at the operation site from the machine information database D005, and in step S502, for each of the countermeasure parts specified by the countermeasure part estimation unit 103 , information on compatible parts is acquired, and in step S503, the on-site parts procurement time _TG is calculated.

In FIG. 14, the processing of steps S501, S502, and S503 may be omitted, and the on-site parts procurement time _TG calculated in step S5503 of FIG. 12 may be used in step S503.

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

In steps S504 and S505, the on-site parts procurement cost calculation unit 107 stores the on-site parts procurement time (second procurement time) _TG and the failure/repair history database D001, the on-site database D004, and the machine information database D005 of the storage device 200. Machine operation loss cost due to machine downtime when procuring countermeasure parts (interchangeable parts) from other machines located at the same operation site based on the information (6th information) obtained (Secondary information) Operation loss cost) _CGK is calculated.

At this time, the machine operation loss cost C _GK (second operation loss cost) is the same as the calculation of the machine operation loss cost (first operation loss cost) C _SK in steps S404 and S405 of the warehouse parts procurement cost calculation unit 106. , in step S504, the downtime D _GK of the failed machine is predicted, and in step S505, the following equation (6) similar to the above equation (4) is used to calculate the machine operation loss cost C _GK due to the machine downtime D _GK Calculate
_CGK = (P _r /A) x _DGK x _WK (6)

In step S506, the on-site parts procurement cost calculation unit 107 arranges the required quantity of countermeasure parts at the same operation site based on the machine operation loss cost (second operation loss cost) _CGK calculated as described above. A field procurement total cost (second procurement total cost) _{CG_total} required for field parts procurement from other machines is calculated.

Specifically, the on-site parts procurement cost calculation unit 107 acquires the "repair cost" _CV for parts replacement and fault repair from the failure/repair history database D001, and calculates the operation loss cost _CDK due to machine downtime and the " The repair cost' _CV is totaled as shown in the following formula (7) to calculate the field procurement total cost _{CG_total} .
_{CG_total} = _CDK + _CV (7)

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

Specifically, the parts procurement method determination unit 108 calculates the warehouse parts procurement time (first procurement time) T _S calculated by the warehouse parts procurement time calculation unit 104 and the on-site parts procurement time calculated by the on-site parts procurement time calculation unit 105 . The procurement time (second procurement time) _TG is compared, and if _TS ≥ _TG , it is determined that on-site parts procurement is the recommended parts procurement method based on the parts procurement time, and if _TS < _TG In this case, warehouse parts procurement is determined as the recommended parts procurement method based on the parts procurement time.

In addition, the parts procurement method determination unit 108 calculates the warehouse procurement total cost (first procurement total cost) _{CS_total} calculated by the warehouse parts procurement cost calculation unit 106 and the on-site procurement total calculated by the on-site parts procurement cost calculation unit 107 . Cost (second procurement total cost) _{CG_total} is compared, and if _{CS_total} ≥ _{CG_total} , it is determined that on-site parts procurement is the recommended parts procurement method based on the parts procurement cost, and _{CS_total} < _{CG_total} In this case, the warehouse parts procurement is determined to be the recommended parts procurement method based on the parts procurement cost.

<Output unit 109>
The output unit 109 sends the various information obtained from the machine condition analysis unit 102 to the parts procurement method determination unit 108 as described above to the customer (machine owner, user, agency or sales office) via the communication device 100b. The information is transmitted to the information presentation device 50, such as a smart phone, possessed by the person concerned.

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

・Failure detection time: The time when the soundness index exceeds a predetermined threshold value in the machine state analysis unit 102 (when it is determined to be abnormal) ・Failure mode: The time when the soundness index exceeds a predetermined threshold in the machine state analysis unit 102 Failure mode when the threshold is exceeded Countermeasure parts list: A list of countermeasure parts specified by the countermeasure parts estimation unit 103 Predicted time required to procure countermeasure parts from the warehouse: Calculated by the warehouse parts procurement time calculation unit 104 Warehouse parts procurement time T _S
Estimated cost required to procure countermeasure parts from warehouse: warehouse procurement total cost _{CS_total} calculated by warehouse parts procurement cost calculation unit 106
Estimated time required to procure countermeasure parts from the site: On-site parts procurement time T _G calculated by the on-site parts procurement time calculation unit 105
Estimated cost required to procure countermeasure parts from the site: Site procurement total cost _{CG_total} calculated by the site parts procurement cost calculation unit 107
・Parts procurement method recommended from parts procurement time: parts procurement method determined from parts procurement time in parts procurement method determination unit 108 ・Parts procurement method recommended from parts procurement cost: parts procurement method determination unit 108, Parts Procurement Method Determined from Parts Procurement Cost The output unit 109 may further transmit the following information to the information presentation device 50 .

・Warehouse parts procurement cost C _S
・Machine downtime D _SK , D _GK
・ Machine operation loss cost C _SK , CGK due to machine downtime D _SK , _{D GK}
By displaying this information on the information presentation device, the user and other parties concerned can confirm the content of the information.

In addition, the output unit 109 outputs a display command to the information presentation device 50 to display the above various information in an easy-to-understand manner for the persons concerned.

FIG. 15 is a diagram showing a display example displayed on the screen of the information presentation device 50 in response to a display command from the output unit 109. As shown in FIG.

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

In the display area 300, when a countermeasure parts list tab 302 is touched with a finger, the screen display is switched to a countermeasure parts list display area 304, and a countermeasure parts list including part names and required quantities of the countermeasure parts list is displayed. When the information tab 303 is touched with a finger, the screen display is switched to a procurement-related information display area 305, and a warehouse tab 305a, a site tab 305b, a warehouse and site tab 305c, and a recommended procurement method tab 305d are displayed. . If a plurality of parts are included in the countermeasure parts list display area 304, it is possible that whether the "warehouse" or the "site" is superior in terms of time and cost differs for each part. Therefore, information on the recommended procurement method may be displayed in addition to the part name and required quantity. This information includes request contact to suppliers such as telephone numbers and e-mail addresses, and by selecting the display of "warehouse" or "site", parts can be ordered directly.

When a finger touches a warehouse tab 305a in the display area 305, the screen display switches to a display area 306A relating to warehouse procurement, and a procurement time tab 306a and a procurement cost tab 306b are displayed. Further, when the procurement time tab 306a in the display area 306A is touched with a finger, the display screen is switched to the warehouse procurement time display area 307a, and the warehouse parts procurement time _TS calculated by the warehouse parts procurement time calculation unit 104 is displayed. When the procurement cost tab 306b is touched with a finger, the display screen switches to a warehouse procurement cost display area 307b, and the warehouse parts procurement cost _{CS_total} calculated by the warehouse parts procurement cost calculation unit 106 is displayed.

Similarly, when the field tab 305b in the display area 305 is touched with a finger, the display screen switches to a display area 306B relating to field procurement, and a procurement time tab 306c and a procurement cost tab 306d are displayed. Further, when the procurement time tab 306c in the display area 306B is touched with a finger, the display screen is switched to the field procurement time display area 307c, and the field parts procurement time _TG calculated by the field parts procurement time calculation unit 105 is displayed. When the procurement cost tab 306d is touched with a finger, the display screen is switched to the field procurement cost display area 307d, and the field parts procurement cost _{CG_total} calculated by the field parts procurement cost calculation unit 107 is displayed.

In the display area 305, when the warehouse and field tab 305c is touched with a finger, the display screen is switched to a display area 308a relating to warehouse procurement and field procurement, and the warehouse parts procurement time _TS , warehouse parts procurement cost _{CS_total} , and field parts procurement time are displayed. _TG and field parts procurement cost _{CG_total} are displayed in contrast. In the display area 305, when a recommended procurement method tab 305d is touched with a finger, the display screen is switched to a display area 308b related to the recommended procurement method. The parts procurement method and its procurement cost are displayed in contrast.

The display transition from the display area 300 to the display area 308b may be hierarchical display, parallel display, or a combination thereof. In addition, since the stock status of parts may fluctuate, an update tab may be provided so that when time has passed after the display, the tab can be updated to the latest stock by pressing the tab. In this case, a history tab may be further provided, and the previous display result may be referred to by pressing the tab.

Also, the display items and display method can be changed as appropriate according to the application software that operates on the information presentation device 50 .

~ Effect ~
According to this embodiment, when a plurality of machines 10a, 10b, 10c, . , calculates the on-site parts procurement time when procuring parts from other machines at the operation site, and transmits the warehouse parts procurement time and the on-site parts procurement time together with other related information to the information presentation device 50. It is now possible to procure parts by taking into account both on-site parts procurement time and speed up parts procurement. This can be expected to minimize machine downtime due to failures, improve machine availability, and maximize profits from machine operation.

Also, in this embodiment, the warehouse parts procurement cost when procuring the parts necessary for repairing the machine from the warehouse 40 and the on-site parts procurement cost when procuring them from other machines at the operation site are calculated. In addition to the time and on-site parts procurement time, the warehouse parts procurement cost and the on-site parts procurement cost are transmitted to the information presentation device 50, so that the parts procurement can be performed with the parts procurement cost taken into consideration, and the parts procurement can be expedited. In addition, parts procurement can be optimized from a cost standpoint, and profits from machine operation can be expected to be maximized.

Also, in this embodiment, the warehouse parts procurement time and the on-site parts procurement time are compared, and the warehouse parts procurement or on-site parts procurement related to the shorter procurement time is determined as the recommended parts procurement method from the parts procurement time. , the warehouse parts procurement cost and the on-site parts procurement cost are compared, and the warehouse parts procurement or on-site parts procurement related to the smaller procurement cost is determined as the recommended parts procurement method from the parts procurement cost, and the determined procurement method is used. Since the information is transmitted to the information presentation device 50, it becomes easier for the parties concerned including the user to decide whether to procure the parts for repair from the warehouse or to procure the parts on site.

A maintenance support system according to a second embodiment of the present invention will be described.

In the first embodiment, on the premise that all parts are procured from either the warehouse 40 or other machines arranged at the same operation site, the warehouse parts procurement time and the on-site parts procurement time, or the warehouse parts procurement time Calculate parts procurement costs and on-site parts procurement costs, and present those procurement times and procurement costs to relevant parties, or the shorter of the warehouse parts procurement time and the on-site parts procurement time, or the difference between the warehouse parts procurement cost and the on-site parts procurement cost The cheaper one was determined as the recommended parts procurement time or parts procurement cost, and presented to the parties concerned.

In this embodiment as well, the control device calculates the procurement time and a plurality of procurement costs required to procure the countermeasure parts from the warehouse 40 and other machines arranged at the same operation site, and calculates the plurality of procurement times. It is the same as the first embodiment in that at least one of the procurement times and at least one of the plurality of procurement costs are transmitted to the information presentation device via the communication device 100b.

This embodiment is different from the first embodiment in that the control device is configured to procure some of the countermeasure parts from the warehouse 40 and to distribute the rest of the countermeasure parts to other machines located at the same operation site. In combination procurement combined with on-site procurement procured from a local supplier, the shortest procurement time among the plurality of procurement times is transmitted to the information presentation device via the communication device. Also, in this embodiment, the procurement time and procurement cost are calculated for all combined procurements.

Here, some of the countermeasure parts are procured from the warehouse 40, and the rest of the countermeasure parts are procured from other machines arranged at the same operation site. When procuring parts by combining

For example, if there are three countermeasure parts a, b, and c, there are six possible combinations. Calculate time or procurement costs.

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

The component procurement combination creation unit 210 of the control device 100a creates a list of all combinations of suppliers of countermeasure components. For an arbitrary countermeasure component j, there are two choices of procurement sources: "warehouse" and "site". Therefore, the number of combinations of parts suppliers is m= ²ⁿ .

FIG. 17 is a diagram showing the data structure of the combinations of the parts procurement combination creation unit 210. As shown in FIG.

The parts procurement time calculation unit 211 calculates the parts procurement time for all the parts procurement combinations. Specifically, for an arbitrary parts procurement combination comb(i), the parts procurement time is calculated according to the supplier of each countermeasure part. When the supplier of parts is a "warehouse", the parts procurement time is calculated using the method described in the warehouse parts procurement time calculation unit 104 . When the supplier of the parts is the "field", the part procurement time is calculated using the method described in the on-site parts procurement time calculation unit 105. FIG. After calculating the procurement time for all countermeasure components, the maximum procurement time among the procurement times for all countermeasure components is set as the procurement time for the component procurement combination comb(i). That is,
Tcomb _(i) = Max { _T1 , _T2 , _T3 , ..., _Tn } (8)
where T _comb(i) is the procurement time of parts procurement combination (i), T _j is the procurement time of part j in parts procurement combination (i), and "Max{}" is the operation to obtain the maximum value. is a child

The parts procurement cost calculation unit 212 calculates the parts procurement cost for all the parts procurement combinations. Specifically, for an arbitrary parts procurement combination comb(i), the procurement cost of the parts is calculated according to the suppliers of the countermeasure parts. When the supplier of parts is a "warehouse", the parts procurement cost is calculated using the method described in the warehouse parts procurement cost calculation unit 106 . When the supplier of the parts is the “site”, the parts procurement cost is calculated using the method described in the field 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 taken 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)
However, C _comb(i) is the procurement time of parts procurement combination (i), and C _j is the procurement cost of part j in parts procurement combination (i).

FIG. 18 is a diagram showing part of the calculation results of the parts procurement time calculation unit 211 and the parts procurement cost calculation unit 212 of the control device 100a. Display the procurement time and procurement cost for all parts procurement combinations.

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

Further, in the case of the second embodiment, the display area 308b displays, among all the parts procurement combinations, the parts procurement combination that minimizes the procurement time and the parts procurement combination that minimizes the procurement cost.

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 rest of the countermeasure parts are procured from other machines located at the same operation site, , Since the procurement time and procurement cost are calculated for all of the combined procurement, it is possible to calculate the procurement time and procurement cost by dividing the countermeasure parts for each part. It is possible to calculate a shorter procurement time or procurement cost than the above, and it is possible to further speed up and optimize parts procurement.

～Others～
Although the preferred embodiments of the present invention have been described above, it goes without saying that the present invention is not limited to the above embodiments. Moreover, although the embodiment of the maintenance support device of the present invention has been described by taking the construction machine as an example, it goes without saying that the present invention can also be applied to machines other than the construction machine.

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)
100 Server 100a Control device 100b Communication device 102 Machine condition 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 Department

Claims (14)

A maintenance support system for multiple machines located at the same operating site,
a control device that performs arithmetic processing;
a storage device for storing data necessary for arithmetic processing of the control device;
a communication device,
The control device is
analyzing the state of each machine based on the operation data of each of the plurality of machines acquired via the communication device;
If a certain machine is determined to be abnormal by the analysis, based on the first information stored in the storage device, identify countermeasure parts and their quantity necessary to repair the failure of the machine,
calculating a plurality of procurement times required to procure the countermeasure parts from the warehouse and other machines located at the same operation site;
A maintenance support system, wherein at least one of the plurality of procurement times is transmitted to an information presentation device via the communication device. In the maintenance support system according to claim 1,
The control device is
calculating a first procurement time required to procure the countermeasure parts from the warehouse based on the second information stored in the storage device;
calculating a second procurement time required for on-site component procurement for procuring the countermeasure component from another machine located at the same operating site based on the third information stored in the storage device;
A maintenance support system, wherein the first procurement time and the second procurement time are transmitted to an information presentation device via the communication device. In the maintenance support system according to claim 2,
The controller further comprises:
calculating a first procurement cost required to procure 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 procurement total 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 performing the on-site parts procurement based on the second procurement time and the sixth information stored in the storage device;
calculating a second procurement total cost required for the on-site parts procurement based on the second operation loss cost;
A maintenance support system, wherein the first procurement time, the second procurement time, the first procurement total cost, and the second procurement total cost are transmitted to an information presentation device via the communication device. In the maintenance support system according to claim 2,
The control device compares the first procurement time and the second procurement time, and if the first procurement time is equal to or longer than the second procurement time, the on-site parts procurement is recommended based on the parts procurement time. is determined as a procurement method, and if the first procurement time is less than the second procurement time, the warehouse parts procurement is determined as a recommended parts procurement method based on the parts procurement time, and the determined recommended parts procurement is determined. A maintenance support system, wherein the method is transmitted to the information presentation device via the communication device. In the maintenance support system according to claim 3,
The control device is
The first procurement time and the second procurement time are compared, and if the first procurement time is equal to or longer than the second procurement time, the on-site parts procurement is determined as a recommended parts procurement method, and the first procurement time is determined. If the procurement time is less than the second procurement time, the warehouse parts procurement is determined as a recommended parts procurement method, and the determined recommended parts procurement method is transmitted to the information presentation device via the communication device. and
The first total procurement cost and the second total procurement cost are compared, and if the first total procurement cost is equal to or greater than the second total procurement cost, the on-site parts procurement is determined as the recommended parts procurement method. , if the first total procurement cost is less than the second total procurement cost, the warehouse parts procurement is determined as a recommended parts procurement method, and the determined recommended parts procurement method is transmitted via the communication device. and transmitting the information to the information presentation device. In the maintenance support system according to claim 1 or 2,
The maintenance support, wherein the information presentation device is a smartphone owned by a person involved in the maintenance support system, and the control device causes the smartphone to display the first procurement time and the second procurement time. system. In the maintenance support system according to claim 1 or 2,
The control device calculates a soundness index of the machine based on the operation data of each of the plurality of machines acquired via the communication device, and determines whether the state of the machine is normal based on the soundness index. A maintenance support system characterized by determining whether there is an abnormality and analyzing the state of each machine. In the maintenance support system according to claim 7,
When the analysis determines that a certain machine is abnormal, the control device identifies a failure mode based on the value of the soundness index used in the analysis of the state of each machine,
Based on the information stored as the first information, including the parts required to repair the failure for each of the failure modes and the quantity thereof, the control device supplies countermeasure parts required to repair the failure mode. and a quantity thereof. In the maintenance support system according to claim 3,
The control device determines that there is an abnormality based on the information stored as the fifth information in the storage device, including the number of days until failure and the time required for repair for each failure and repair case, and the first procurement time. Calculate the first downtime of the machine that was
The first downtime, the average excavation amount per unit time of the machine using the part compatible with the countermeasure part stored as the fifth information in the storage device, the expected profit of the construction project, and the construction project A maintenance support system, wherein the first operation loss cost is calculated based on information including the total amount of excavation. In the maintenance support system according to claim 3,
The control device determines that there is an abnormality based on the information stored as the sixth information in the storage device, including the number of days until failure and the time required for repair for each failure and repair case, and the second procurement time. Calculate the second downtime of the machine that has been
The second downtime, the average excavation amount per unit time of the machine using the part compatible with the countermeasure part stored as the sixth information in the storage device, the expected profit of the construction project, and the construction project A maintenance support system, wherein the second operation loss cost is calculated based on information including the total amount of excavation. In the maintenance support system according to claim 1,
The control device is
In combined procurement that combines warehouse procurement, in which part of the countermeasure parts are procured from the warehouse, and on-site procurement, in which the rest of the countermeasure parts are procured from other machines located at the same operation site, A maintenance support system, characterized in that the minimum procurement time of the procurement times is transmitted to an information presentation device via the communication device. In the maintenance support system according to claim 11,
The maintenance support system, wherein the control device calculates the plurality of procurement times for all of the combined procurement. In the maintenance support system according to claim 11,
The controller further comprises:
calculating a plurality of procurement costs required to procure the countermeasure parts from the warehouse and other machines located at the same operation site;
A maintenance support system, wherein the minimum procurement cost among the plurality of procurement costs and the minimum procurement time are transmitted to the information presentation device via the communication device. In the maintenance support system according to claim 13,
The maintenance support system, wherein the control device calculates the plurality of procurement costs for all of the combined procurement.

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