Maintenance Support System

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

[Technical field]

[0001] The present invention relates to a maintenance support system for multiple 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. [Background technology]

[0002] For machines that operate continuously for long periods of time, such as construction machinery and wind turbines, improving the operation 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 the machine and restart it if a breakdown does occur.

[0003] To realize such a maintenance support system, a "maintenance support system" is required that is capable of equipping machines with sensors and collecting and analyzing sensor data to constantly monitor the condition of the machines and send appropriate maintenance instructions.

[0004] For example, Patent Document 1 proposes a system in which the failure time is estimated from the signs of a part's failure and compared with the time required for new production of that part, and if the period until the anticipated failure is longer than the required production time, the system instructs production of the part, and if it is determined that the period until the anticipated failure is equal to or shorter than the required production time, the system instructs the arrangement of inventory parts.

[0005] On the other hand, since multiple construction machines, wind turbines, and other machines are often installed at the same operation 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 is equipped with a construction site information database, a machine information database, and a machine operation information database. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] JP 2014-2660 A [Patent Document 2] JP 2003-186949 A Summary of the Invention [Problem to be solved by the invention]

[0007] As mentioned above, when an abnormality is detected in a machine, it is desirable to respond to that abnormality as soon as possible. Furthermore, if an event occurs in which, for example, one core part is out of stock or requires a long period of time for transportation, depending on the time it takes to procure the part, the machine may have to be shut down for an extended period of time. From this perspective, it is desirable to be able to procure parts necessary for the maintenance or repair of the machine quickly.

[0008] The technology disclosed in the above Patent Document 1 aims to speed up parts procurement by detecting signs of failure, but there is a risk that the time required for parts procurement will increase the downtime of the machine. In particular, in the case of construction machinery, wind turbines, etc., which are often operated in remote locations, it often takes several days to transport replacement parts from the warehouse to the machine's operating site, so there is a concern that the increased downtime of the machine will result from the prolonged parts procurement time.

[0009] 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 or compatible parts (hereinafter, both of which are collectively referred to as "compatible parts") as the replacement parts for the broken machine. If other machines that have such compatible parts are stopped or are scheduled to be stopped due to changes 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.

[0010] However, the above 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.

[0011] The present invention has been made in consideration of such problems, and its purpose is to provide a maintenance support system which, when multiple machines are installed at the same operating site, speeds up parts procurement by making optimal part adjustments, taking into consideration both whether parts needed to repair a machine should be procured from a warehouse or from other machines at the operating site. [Means for solving the problem]

[0012] In order to achieve the above-mentioned 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, wherein the control device analyzes the status of each machine based on the operation data of each of the multiple machines obtained via the communication device, and when a machine is determined to be abnormal through the analysis, identifies the countermeasure parts and their quantity required to repair the failure of that machine based on 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.

[0013] 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.

[0014] 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, the control device may transmit the shortest procurement time among the multiple procurement times to the information presentation device via the communication device. Effect of the Invention

[0015] According to the present invention, multiple procurement times required to procure parts for countermeasures not only from the 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, so 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 machine's operating rate, and is expected to maximize profits from machine operation. [Brief description of the drawings]

[0016] [Figure 1] 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. [Diagram 2] FIG. 2 is a functional block diagram showing the processing contents of a control device. [Diagram 3] FIG. 2 is a diagram showing the configuration of a database stored in a storage device. [Figure 4] 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; [Diagram 5] FIG. 13 is a diagram showing an example of a data structure of a failure / repair history database. [Figure 6] FIG. 4 is a diagram illustrating an example of a data structure of a countermeasure component database. [Figure 7] FIG. 2 is a diagram illustrating an example of a data structure of a warehouse database. [Figure 8] FIG. 2 is a diagram illustrating an example of a data structure of a site database. [Figure 9]FIG. 13 is a diagram showing a processing procedure of a warehouse parts procurement time calculation unit. [Figure 10] FIG. 4 is a diagram illustrating an example of a data structure of a machine information database. [Figure 11] FIG. 4 is a diagram illustrating an example of a data structure of a part compatibility database. [Figure 12] FIG. 11 is a diagram showing a processing procedure of a site parts procurement time calculation unit. [Figure 13] FIG. 13 is a diagram showing a processing procedure of a warehouse parts procurement cost calculation unit. [Figure 14] FIG. 11 is a diagram showing a processing procedure of a field parts procurement cost calculation unit. [Figure 15] 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. [Figure 16] FIG. 11 is a functional block diagram showing the processing contents of a control device in a second embodiment of the present invention. [Figure 17] FIG. 11 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. [Figure 18] FIG. 11 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. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] Hereinafter, an embodiment of the present invention will be described with reference to the drawings, in which the machine that is the target of the maintenance support system is a hydraulic excavator, which is a representative example of construction machine. EXAMPLES

[0018] ~Overall composition~ 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. 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.

[0019] In Fig. 1, the maintenance support system 1 is a system that monitors the states of machines 10a, 10b, 10c, etc. of a group of machines 10 to support maintenance work of 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.

[0020] The control device 100a is composed of one or more computers equipped with a power supply, a CPU (Central Processing Unit), a memory, an input / output device, 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.

[0021] 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.

[0022] The machines 10a, 10b, 10c... 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... 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... has an operation plan and a maintenance plan, and operation, shutdown, and maintenance are performed based on the plan.

[0023] In FIG. 1, machines 10a, 10b, 10c, etc. of the group of machines 10 are shown as hydraulic excavators, which are a typical example of construction machinery; however, machines 10a, 10b, 10c, etc. are not limited to construction machinery and may be other machines such as wind turbines.

[0024] The parts warehouse 40 stores parts used by the machines 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.

[0025] The information presentation device 50 is a mobile terminal such as a 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 information (described later) including procurement information transmitted from the server 100, and presents it to related 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. Related parties other than customers are, for example, maintenance and inspection personnel at the manufacturer.

[0026] ~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.

[0027] 3 is a diagram showing the configuration of 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.

[0028] ~Processing contents of the control device~ The control device 100a is characterized in that it analyzes the status of each machine based on the operation data of each of the multiple 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, etc. 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.

[0029] In order to execute the above-mentioned processes, the control device 100a includes the processing units 102 to 109 shown in FIG.

[0030] The processing contents of each part of the control device 100a will be explained below.

[0031] <Machine Condition Analysis Unit 102> The machine condition analysis unit 102 acquires 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 of the machines 10a, 10b, 10c, etc. in the machine group 10 via the communication device 100b, and analyzes the condition of each machine based on the operation data.

[0032] In addition, the machine condition analysis unit 102 calculates a health index for each machine based on the operation data of each of the machines 10a, 10b, 10c, etc., and analyzes the condition of each machine by classifying each machine as normal or abnormal based on the health index.

[0033] 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 or machine learning, remaining life diagnosis, etc. In this embodiment, a condition analysis method when an abnormality detection algorithm is used will be described.

[0034] 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 is referred to as a feature vector. The normal model corresponding to the feature vector can be described by the average (hereinafter, average 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 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).

[0035]

number

[0036] 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 variance) of the feature vector x obtained by the normal machine. The numerator on the right side of formula (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.

[0037] By using the degree of anomaly a, which is the magnitude of the degree of anomaly, as an indicator of the health of the machine, it is possible to judge whether the state of the machine is normal or abnormal accordingly. A commonly used method is to set a threshold value for the degree of anomaly a, and if the degree of anomaly a exceeds the threshold, it is judged to be "abnormal," and if it does not exceed the threshold, it is judged to be "normal."

[0038] Figure 4 shows an example of the distribution of the degree of anomaly a of a certain machine and the threshold value used to judge the state. The threshold value in the figure is the boundary between abnormality and normality calculated from the degree of anomaly a of the machine. An algorithm for judging machine anomalies using the degree of anomaly a and the threshold value can be written in the following pseudocode.

[0039]

number

[0040] <Countermeasure part estimation unit 103> When the machine condition analysis unit 102 determines that the degree of abnormality a of a machine's operating data exceeds a threshold value and an abnormality has occurred (hereinafter, this may be referred to as "an abnormality has been detected"), the countermeasure parts 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 parts database D002 of the storage device 200.

[0041] 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, and 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. for each value of the soundness index at the time of analysis.

[0042] 6 is a diagram showing 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 a failure.

[0043] First, when the degree of abnormality a (health index) of the operating data of a machine exceeds a threshold value and the machine is determined to be abnormal, the countermeasure part estimation unit 103 identifies a failure mode based on the value of the degree of abnormality a (health index) used to analyze the state of the machine, and generates a list of countermeasure parts including the countermeasure parts required to repair this failure mode and their quantities.

[0044] Specifically, the countermeasure part estimation unit 103 selects a failure mode that corresponds to the value of the health index at the time of analysis from the failure modes stored in the failure and repair history database D001, and estimates that this selected failure mode is the failure mode when an abnormality was detected by the machine condition analysis unit 102.

[0045] In addition, the countermeasure parts estimation unit 103 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 each failure mode, which is stored in the countermeasure parts database D002.

[0046] 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 deterioration and damage to bucket teeth. 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 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 accumulated operating time.

[0047] <Warehouse parts procurement time calculation unit 104> The warehouse part procurement time calculation unit 104 calculates the warehouse part procurement time (first procurement time) T required for procuring 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. S Calculate.

[0048] Warehouse parts procurement time T S This refers to the time from when the health index exceeds the threshold and a machine abnormality is detected to when all of the countermeasure parts arrive at the operating site (hereinafter simply referred to as the site).

[0049] 7 is a diagram showing 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.

[0050] 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 period 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.

[0051] FIG. 9 is a diagram showing a processing procedure of the warehouse parts procurement time calculation unit 104.

[0052] In step S4401, the warehouse parts procurement time calculation unit 104 acquires information such as the weight, dimensions, stock quantity, transportation means, and warehouse address of the countermeasure parts from the warehouse database D003, and acquires the address of the operation site from the site database D004.

[0053] Next, in step S4402, the warehouse part procurement time T for procuring the part from the warehouse 40 to the machine at the work site is calculated based on the weight, dimensions, stock quantity, transportation means, warehouse address, and work site address of the countermeasure part acquired in step S4401. SSpecifically, if the inventory quantity is sufficient, the transportation means for transporting the countermeasure parts is identified from the weight, dimensions, warehouse address, site address, and transportation means information of the countermeasure parts, and the estimated transportation time required to transport the countermeasure parts from the warehouse 40 to the site is calculated based on this transportation means, the warehouse address, and the site address. S If the inventory quantity is insufficient, the warehouse parts procurement time T S Let us assume that.

[0054] <On-site parts procurement time calculation unit 105> The on-site part procurement time calculation unit 105 calculates the on-site part procurement time (second procurement time) T required for procurement of 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. G Calculate.

[0055] On-site parts procurement time T G This refers to the time from when the health index exceeds a threshold and a machine abnormality is detected to when all of the countermeasure parts are available from other machines located in the same operating site.

[0056] 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 the model information, operation plan, repair history, parts list, parts compatibility information, and average excavation volume within a 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, also 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 within a unit time is the average value per hour of the weight of soil excavated by the hydraulic excavator in the past.

[0057] 11 is a diagram showing an example of the data structure of the part compatibility database D006. The part compatibility database D006 stores, for all parts provided in all machines of the machine group 10, a list of parts that are compatible with the part.

[0058] FIG. 12 is a diagram showing a processing procedure of the on-site parts procurement time calculation unit 105.

[0059] In step S5501, the on-site parts procurement time calculation unit 105 acquires, from the machine information database D005, information about 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 the 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 acquired from the parts compatibility database D006, or may be acquired by using the parts compatibility database D006 in combination.

[0060] Next, in step S5502, information on compatible parts is acquired for each of the countermeasure parts identified in countermeasure part estimation unit 103 based on the compatible part machine list, the parts list, and the part compatibility information acquired in step S5501.

[0061] 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, predicts the date when compatible parts for each machine can be provided, and calculates the on-site parts procurement time T G If there are multiple machines that can provide compatible parts, calculate the procurement time of all the compatible parts for the machine, select the machine with the earliest date for providing compatible parts, and calculate the procurement time of the compatible parts for that machine as the on-site part procurement time T G Let us assume that.

[0062] <Warehouse parts procurement cost calculation unit 106> The warehouse parts procurement cost calculation unit 106 calculates the downtime D K Machine operation loss cost (first operation loss cost) C SK The total cost required to procure the countermeasure parts from the parts warehouse 40 is calculated, including the above.

[0063] FIG. 13 is a diagram showing the processing procedure of the warehouse parts procurement cost calculation unit 106.

[0064] First, in steps S401 and S402, the warehouse parts procurement cost calculation unit 106 calculates a warehouse parts procurement cost (first procurement cost) C required for procuring the necessary 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. S Calculate.

[0065] 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, and acquires the address of the operation site from the site database D004, in the same manner as in step S4401 of Fig. 9. Also, in step S401, information on the price of the countermeasure parts is acquired from the warehouse database D003.

[0066] In step S402, the warehouse parts procurement cost calculation unit 106 calculates the warehouse parts procurement cost C required to procure the parts from the parts warehouse 40 to the machine at the operating site based on the information acquired from the warehouse database D003 and the site database D004. S Calculate.

[0067] Specifically, the warehouse parts procurement cost calculation unit 106 calculates the unit price P i The countermeasure parts estimation unit 103 obtains the quantity M of each part from the countermeasure parts list generated by the countermeasure parts estimation unit 103. i In addition, the warehouse part procurement cost calculation unit 106 calculates the transportation cost T of the procurement part from the information on the transportation means obtained from the warehouse database D003. i However, if multiple parts are shipped together, the cost of bulk shipping is used.

[0068] Then, the warehouse part procurement cost C S Calculate.

[0069]

number

[0070] In step S403, similarly to step S402 in FIG. 9, the warehouse part procurement cost calculation unit 106 calculates the warehouse part procurement time (first procurement time) T required to transport the countermeasure part from the warehouse 40 to the site based on the weight, dimensions, warehouse address, site address, and transportation means information of the countermeasure part. S 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.

[0071] In steps S404 and S405, the warehouse part procurement cost calculation unit 106 calculates the warehouse part procurement time (first procurement time) T S Based on the information (fifth information) stored in the failure and 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, the downtime D of the machine when performing warehouse part procurement to procure countermeasure parts from the warehouse 40 is calculated. SK Machine operation loss cost (first operation loss cost) C SK Calculate.

[0072] First, in step S404, the warehouse part procurement cost calculation unit 106 calculates the warehouse part procurement time (first procurement time) T S Based on the information stored in the failure and repair history database D001 of the storage device 200, countermeasure parts are procured from the warehouse 40. SK Then, in step S405, the machine downtime D is calculated based on the information stored in the site database D004 and the machine information database D005 in the storage device 200. SK Machine operation loss cost (first operation loss cost) C SK Calculate.

[0073] Here, the warehouse parts procurement cost calculation unit 106 calculates the downtime D of the machine using information on "days until failure" and "time required for repair" for each corresponding failure and repair case or for each corresponding health index, which is information stored in the failure and repair history database D001. K The "number of days until failure" is the number of days from the time when the health index calculated by the machine condition analysis unit 102 exceeds the threshold value and a machine abnormality is detected to the time when a failure occurs.

[0074] To explain further, in step S404, the warehouse parts procurement cost calculation unit 106 calculates the time when the machine abnormality is detected by the machine condition analysis unit 102 as the warehouse parts procurement time T S As the starting point, the warehouse part procurement time T S From this, the system estimates the expected date of parts arrival at the operating site and predicts the start date of the machine's repairs. The start date of the machine's repairs is calculated based on the date when all of the countermeasure parts arrive at the site. Next, the expected repair time for the failure is estimated from the "repair time required" information, and the end date of the machine's repairs is predicted. Specifically, the system calculates the average "repair time required" for the same failure mode as the failure in question, and predicts the expected repair time for the failure. This expected repair time is then multiplied by the warehouse parts procurement time T S The repair end date is predicted by adding the number of days until failure for the same failure mode as the failure in question. Furthermore, in step S404, the expected failure date is predicted by calculating the average of the "number of days until failure" for the same failure mode as the failure in question. The predicted repair end date is compared with the expected failure date, and the difference (expected failure date - repair end date) is calculated as the machine downtime D K If the difference is a negative value, the machine downtime D K is set to zero.

[0075] In addition, the warehouse parts procurement cost calculation unit 106 calculates the “expected profit of the construction project” P stored in the site database D004 shown in FIG. r and the "total excavation volume of the construction project" A and the "average excavation volume per unit time" W of the machine using parts compatible with the countermeasure parts, which is information stored in the machine information database D005 shown in Figure 10. K Using this information, machine downtime DK Machine operation loss cost (first operation loss cost) C SK Calculate.

[0076] Specifically, in step S405, the warehouse parts procurement cost calculation unit 106 calculates the downtime D SK and "Expected Revenues from Construction Projects" P r , "total excavation volume of the construction project" A, and "average excavation volume per hour" of the machine W K Therefore, the machine operation loss cost C of the machine is calculated by the following formula (4). SK Calculate. C SK =(P r / A)×D SK ×W K (4)

[0077] Next, in step S406, the warehouse part procurement cost calculation unit 106 calculates the warehouse part procurement cost (first procurement cost) C S and machine operation loss cost (first operation loss cost) C SK Based on this, the required quantity of countermeasure parts is procured from warehouse 40. Warehouse procurement total cost required for procuring warehouse parts (first procurement total cost) C S_total Calculate.

[0078] At this time, the warehouse parts procurement cost calculation unit 106 calculates the “repair cost” C of the corresponding case (health index), which is information stored in the failure and repair history database D001 shown in FIG. V Using warehouse procurement total cost (first procurement total cost) C S_total Calculate the repair cost. V is the cost required for repair work, including part replacement.

[0079] Specifically, the warehouse part procurement cost calculation unit 106 calculates the warehouse part procurement cost C S and operating loss cost C SK and "Repair Costs" C V The total warehouse procurement cost C is calculated by adding up the following formula (5). S_total Calculate. C S_total =CS +C SK +C V (5)

[0080] <On-site parts procurement cost calculation unit 107> The on-site parts procurement cost calculation unit 107 calculates the machine operation loss cost (second operation loss cost) C due to the machine downtime. GK Calculate the total cost required to procure the countermeasure parts from other machines installed at the operation site, including the above.

[0081] FIG. 14 is a diagram showing the processing procedure of the on-site parts procurement cost calculation unit 107.

[0082] 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. 12. In the case of on-site parts procurement, since no parts procurement costs such as the warehouse parts procurement cost in step S402 are incurred, there is no need to perform the process equivalent to step S402 in Fig. 13.

[0083] In step S501, the on-site parts procurement cost calculation unit 107 acquires information on machines arranged at the operation site from the machine information database D005, in step S502, acquires information on compatible parts for each countermeasure part identified by the countermeasure part estimation unit 103, and in step S503, calculates the on-site parts procurement time T G Calculate.

[0084] In FIG. 14, the processes of steps S501, S502, and S503 are omitted, and in step S503, the on-site part procurement time T G may also be used.

[0085] In FIG. 14, the processes in steps S504 and S505 are the same as those in steps S404 and S405 shown in FIG. 13 except for the parameters handled.

[0086] In steps S504 and S505, the on-site parts procurement cost calculation unit 107 calculates the on-site parts procurement time (second procurement time) T G A machine operation loss cost (second operation loss cost) C due to machine downtime when a countermeasure part (compatible part) is procured from another machine located at the same operation site based on the information (sixth information) stored in the failure and repair history database D001, the site database D004, and the machine information database D005 of the storage device 200. GK Calculate.

[0087] In this case, the machine operation loss cost C GK (Second operation loss cost) is the machine operation loss cost (first operation loss cost) C in steps S404 and S405 of the warehouse parts procurement cost calculation unit 106. SK In the same manner as in the calculation of GK In step S505, the machine downtime D is calculated using the following equation (6), which is similar to the above equation (4). GK Machine operation loss cost C GK Calculate. C GK =(P r / A)×D GK ×W K (6)

[0088] In step S506, the on-site parts procurement cost calculation unit 107 calculates the machine operation loss cost (second operation loss cost) C GK Based on the above, the required quantity of countermeasure parts is procured from other machines located at the same operating site. On-site procurement total cost (secondary procurement total cost) C G_total Calculate.

[0089] Specifically, the on-site parts procurement cost calculation unit 107 calculates the "repair cost" C for part replacement and repair from the failure and repair history database D001. V and the cost of operation loss due to machine downtime C DK and "Repair Costs" C V The total cost of on-site procurement is calculated by adding up the following formula (7):G_total Calculate. C G_total =C DK +C V (7)

[0090] <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.

[0091] Specifically, the part procurement method determination unit 108 determines the warehouse part procurement time (first procurement time) T S and the on-site part procurement time (second procurement time) T calculated by the on-site part procurement time calculation unit 105. G Compare with T S ≧T G In the case of T, it is determined that on-site part procurement is the recommended part procurement method based on the part procurement time. S <T G In this case, it is determined that warehouse part procurement is the recommended part procurement method based on the part procurement time.

[0092] In addition, the part procurement method determination unit 108 calculates the warehouse procurement total cost (first procurement total cost) C S_total and the on-site procurement total cost (second procurement total cost) C calculated by the on-site parts procurement cost calculation unit 107. G_total Compare with C S_total ≧C G_total In the case of C, it is determined that on-site part procurement is the recommended part procurement method based on the part procurement cost. S_total <C G_total In this case, it is determined that warehouse part procurement is the recommended part procurement method based on the part procurement cost.

[0093] <Output section 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.

[0094] The output unit 109 transmits the following information to the information presentation device 50:

[0095] Fault detection time: The time when the health index exceeds a predetermined threshold value (when an abnormality is detected) in the machine condition analysis unit 102 Failure mode: A failure mode when the health index exceeds a predetermined threshold in the machine condition 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 the warehouse: Warehouse part procurement time T calculated by the warehouse part procurement time calculation unit 104 S Estimated cost required to procure countermeasure parts from the warehouse: total warehouse procurement cost C calculated by the warehouse parts procurement cost calculation unit 106 S_total Estimated time required to procure countermeasure parts from the site: On-site part procurement time T calculated by the on-site part procurement time calculation unit 105 G Estimated cost required to procure countermeasure parts from the site: On-site procurement total cost C calculated by the on-site parts procurement cost calculation unit 107 G_total 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 based on the part procurement cost by the part procurement method determination unit 108. In addition, the output unit 109 may further transmit the following information to the information presentation device 50.

[0096] Warehouse parts procurement cost C S Machine downtime SK ,D GK Machine downtime SK ,D GK Machine operation loss cost C SK ,C GK This information is displayed on an information display device, allowing users and other related parties to confirm the content of the information.

[0097] Furthermore, the output unit 109 outputs a display command to the information presentation device 50 to display the various types of information described above in an easily understandable manner for the relevant parties.

[0098] FIG. 15 is a diagram showing 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. As shown in FIG.

[0099] In FIG. 15, reference numeral 300 denotes a display area for procurement information displayed on the screen of the information presentation device 50, and the display area 300 displays a fault information list 301 including the "fault detection time" and "fault mode", a tab 302 for a countermeasure parts list, and a tab 303 for procurement-related information.

[0100] In the display area 300, when the tab 302 of the countermeasure parts list is touched with a finger, the screen display switches to the display area 304 of the countermeasure parts list, and the countermeasure parts list including the part names and required quantities of the parts in the countermeasure parts list is displayed. When the tab 303 of procurement-related information is touched with a finger, the screen display switches to the display area 305 of procurement-related information, and a tab 305a of warehouse, a tab 305b of site, a tab 305c of warehouse and site, and a tab 305d of recommended procurement method are displayed. Note that, when there are multiple parts included in the display area 304 of the countermeasure parts list, it may be the case that the advantage of "warehouse" or "site" differs for each part in terms of time and cost. Therefore, in addition to the part name and required quantity, information on the recommended procurement method may be displayed. This information includes a request contact to the supplier, such as a phone number or an email address, and by selecting the display of "warehouse" or "site", a part is directly ordered.

[0101] In addition, when the warehouse tab 305a is touched with a finger in the display area 305, the screen display switches to a display area 306A related to warehouse procurement, and 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 switches to a warehouse procurement time display area 307a, and the warehouse parts procurement time T calculated by the warehouse parts procurement time calculation unit 104 is displayed. S 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 part procurement cost C calculated by the warehouse part procurement cost calculation unit 106 is displayed. S_total is displayed.

[0102] 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 related 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 display area 307c of on-site procurement time, and the on-site parts procurement time T calculated by the on-site parts procurement time calculation unit 105 is displayed. G When the procurement cost tab 306d is touched with a finger, the display screen switches to a field procurement cost display area 307d, and the field part procurement cost C calculated by the field part procurement cost calculation unit 107 is displayed. G_total is displayed.

[0103] In the display area 305, when the warehouse and site tabs 305c are touched with a finger, the display screen is switched to a display area 308a relating to warehouse procurement and site procurement, and the warehouse part procurement time T S and warehouse parts procurement cost C S_total and on-site parts procurement time T G and on-site parts procurement cost C G_total In the display area 305, when the tab 305d for the recommended procurement method is touched with a finger, the display screen switches to a display area 308b for the recommended procurement method, and the part procurement method recommended based on the part procurement time, the procurement time, and the part procurement method recommended based on the part procurement cost and the procurement cost are displayed in a comparative manner.

[0104] 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 when 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 result can be referred to by pressing the tab.

[0105] Furthermore, the display items and the display method can be changed as appropriate depending on the application software running on the information presentation device 50 .

[0106] ~Effects~ 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 for repairing 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.

[0107] Furthermore, in this embodiment, the warehouse parts procurement cost when parts required to repair the machine are procured from 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, making it possible to procure parts while taking into consideration 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 the operation of the machine.

[0108] In addition, in this embodiment, the warehouse parts procurement time is compared with the on-site parts procurement time, and either warehouse parts procurement or on-site parts procurement whichever is associated with the shorter procurement time is determined as the recommended parts procurement method based on the parts procurement time, and the warehouse parts procurement cost is compared with the on-site parts procurement cost, and either warehouse parts procurement or on-site parts procurement which is associated with the shorter procurement cost is determined as the recommended parts procurement method based on the parts procurement cost, and the determined procurement method is transmitted to the information presentation device 50, making it easier for relevant parties, including the user, to decide whether to procure parts for repairing a malfunction through warehouse parts procurement or on-site parts procurement. EXAMPLES

[0109] A maintenance support system according to a second embodiment of the present invention will be described.

[0110] In the first embodiment, on the assumption that all parts are procured from either warehouse 40 or other machines located at the same operating site, the warehouse parts procurement time and on-site parts procurement time, or the warehouse parts procurement cost and 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 on-site parts procurement time, or the cheaper of the warehouse parts procurement cost and on-site parts procurement cost, is determined as the recommended parts procurement time or parts procurement cost and presented to the relevant parties.

[0111] This embodiment is similar to the first embodiment in that the control device calculates the procurement time and multiple procurement costs required to procure countermeasure parts from 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 communication device 100b.

[0112] The present embodiment differs from the first embodiment in that, in combined procurement combining 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 among 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.

[0113] 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 depend on the number of countermeasure parts.

[0114] 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.

[0115] 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 state 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 processes are executed in the order of the illustrated arrows. The processing contents of the machine state analysis unit 102, the countermeasure part estimation unit 103, and the output unit 109 are the same as those in the first embodiment.

[0116] 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 m = 2 n It is.

[0117] FIG. 17 is a diagram showing the data structure of the combinations in the parts procurement combination creation unit 210. As shown in FIG.

[0118] The parts procurement time calculation unit 211 calculates the parts procurement time 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 maximum 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{T1,T2,T3,……,T n} (8) However, T comb(i) is the procurement time of part procurement combination (i), and T j is the procurement time of part j in part procurement combination (i), and “Max{}” is the operator that obtains the maximum value.

[0119] 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{C1,C2,C3,……,C n} (9) However, C comb(i) is the procurement time of part procurement combination (i), and C j is the procurement cost of part j in part procurement combination (i).

[0120] 18 is a diagram showing a part of the calculation results of the part procurement time calculation unit 211 and the part procurement cost calculation unit 212 of the control device 100a. The procurement time and procurement cost are displayed for each of all part procurement combinations.

[0121] 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.

[0122] In the second embodiment, the display area 308b displays, in comparison, the parts procurement combination with the shortest procurement time and the parts procurement combination with the smallest procurement cost among all the parts procurement combinations.

[0123] According to this embodiment, in combined procurement that combines warehouse procurement, in which some of the countermeasures parts are procured from warehouse 40, with on-site procurement, in which the remaining countermeasures parts are procured from other machines located at the same operating site, the procurement time and procurement cost are calculated for all combined procurement, so that it is possible to calculate the procurement time and procurement cost by dividing the countermeasures 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 both the procurement time and procurement cost, thereby making it possible to further speed up and optimize parts procurement.

[0124] ~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. [Explanation of symbols]

[0125] 1 Maintenance support system 10 Machinery 10a,10b,10c... Machine 11 Sensors 12 Control device 13. Communications Equipment 20 Network 40 Warehouse 50 Information display device (smartphone) 100 Servers 100a Control device 100b Communication equipment 102 Machine Condition Analysis Department 103 Countermeasures Parts Estimation Department 104 Warehouse Parts Procurement Time Calculation Department 105 On-site parts procurement time calculation section 106 Warehouse Parts Procurement Cost Calculation Department 107 On-site Parts Procurement Cost Calculation Department 108 Parts Procurement Method Decision Department 109 Output section 200 Storage device D001 Breakdown and repair history database D002 Countermeasures parts database D003 Warehouse Database D004 Site Database D005 Machine information database D006 Parts compatibility database 210 Parts Procurement Combination Creation Department 211 Parts Procurement Time Calculation Department 212 Parts Procurement Cost Calculation Department

Claims

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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 the minimum procurement cost of the plurality of procurement costs is transmitted together with the minimum procurement time to an information presentation device via the communication device.

14. 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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