Maintenance support device, maintenance support method, and program

Abstract

To provide a maintenance support system, maintenance support method, and program for providing assistance in generation of an efficient maintenance plan.SOLUTION: There is provided a maintenance support device comprising: a first computation unit configured to compute similarity among multiple pieces of equipment; and a second computation unit configured to reduce maintenance costs of similar pieces of equipment with high similarity to candidate pieces of equipment included in the multiple pieces of equipment, and compute maintenance priority based on the maintenance costs.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a maintenance support device, a maintenance support method, and a program. [Background technology]

[0002] Patent Document 1 discloses a maintenance support system that calculates the cost and time required to perform maintenance of equipment within a budget. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2012-160132 A Summary of the Invention [Problem to be solved by the invention]

[0004] When maintaining one piece of equipment, it may be efficient to simultaneously maintain other pieces of equipment. However, Patent Document 1 does not take into consideration the simultaneous maintenance of multiple pieces of equipment, and therefore has a problem in that it is not possible to create an efficient maintenance plan.

[0005] The present disclosure has been made to solve such problems, and has an object to provide a maintenance support device, a maintenance support method, and a program that support the creation of an efficient maintenance plan. [Means for solving the problem]

[0006] A maintenance support device according to one aspect of the present disclosure includes: A first calculation unit that calculates a similarity between a plurality of facilities; a second calculation unit that reduces a maintenance cost of a similar facility having a high similarity to a candidate facility included in the plurality of facilities, and calculates a maintenance priority based on the maintenance cost; Equipped with.

[0007] A maintenance support method according to one aspect of the present disclosure includes: Calculate the similarity between multiple pieces of equipment, The maintenance cost of similar equipment having a high similarity to a candidate equipment included in the plurality of equipment is reduced, and a maintenance priority is calculated based on the maintenance cost.

[0008] A program according to one aspect of the present disclosure includes: A process of calculating a similarity between a plurality of facilities; a process of reducing a maintenance cost of a similar facility having a high similarity to a candidate facility included in the plurality of facilities, and calculating a maintenance priority based on the maintenance cost; to be executed by the computer. Effect of the Invention

[0009] According to the present disclosure, it is possible to provide a maintenance support device, a maintenance support method, and a program that support the creation of an efficient maintenance plan. [Brief description of the drawings]

[0010] [Figure 1] 1 is a block diagram showing a configuration of a maintenance support device according to the present disclosure. [Diagram 2] 1 is a flowchart illustrating a maintenance support method according to the present disclosure. [Diagram 3] 1 is a block diagram showing a configuration of a maintenance support device according to the present disclosure. [Figure 4] 13 is a flowchart illustrating an operation of a priority order calculation unit according to the present disclosure. [Diagram 5] 1 is a block diagram showing an example of a hardware configuration of a maintenance support device according to the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] EMBODIMENT 1 Hereinafter, with reference to FIG. 1, an example of the configuration of the maintenance support device 1 will be described. The maintenance support device 1 supports the creation of a maintenance plan for equipment. The equipment may be, for example, an electric power equipment (e.g., a transformer), a water equipment (e.g., a water pipe), or a gas equipment (e.g., a gas pipe). The maintenance support device 1 includes a first calculation unit 11 and a second calculation unit 12. The maintenance support device 1 may be a computer including a processor, a memory, and the like. An example of the hardware configuration of the maintenance support device 1 will be described later.

[0012] The first calculation unit 11 calculates the similarity between a plurality of facilities. The first calculation unit 11 may calculate the similarity based on, for example, the manufacturing year of each facility, the model of each facility, the distance between the installation position of each facility and a predetermined area (e.g., the sea, a highway), etc. The first calculation unit 11 may, for example, perform clustering to classify facilities that are highly similar to each other into the same cluster.

[0013] The second calculation unit 12 reduces the maintenance cost of equipment that is highly similar to the candidate equipment included in the plurality of equipment, and calculates the maintenance priority based on the maintenance cost. The candidate equipment may be equipment with the highest maintenance priority among the plurality of equipment, or may be equipment with a maintenance priority higher than a threshold. The candidate equipment may also be equipment selected by a user operation.

[0014] When the similarity is greater than a threshold, the second calculation unit 12 may determine that the similarity is high. Also, when multiple pieces of equipment are classified into the same cluster, the second calculation unit 12 may determine that the similarity between the multiple pieces of equipment is high.

[0015] 2 is a flowchart showing the maintenance support method according to the present disclosure. First, the first calculation unit 11 of the maintenance support device 1 calculates the similarity between multiple pieces of equipment (step S11). Next, the second calculation unit 12 of the maintenance support device 1 reduces the maintenance cost of similar equipment that has a high similarity to the candidate equipment, and calculates the maintenance priority based on the maintenance cost (step S12). Steps S11 and S12 may be repeated.

[0016] The maintenance support device 1 can calculate appropriate maintenance priorities by reducing the maintenance costs of similar facilities, and can support the creation of efficient maintenance plans.

[0017] EMBODIMENT 2 The second embodiment is a specific example of the first embodiment. FIG. 3 is a block diagram showing a configuration example of a maintenance support device 100 according to the present disclosure. Equipment data 21, surrounding environment data 22, and damage prediction data 23 are input to the maintenance support device 100. The maintenance support device 100 outputs a priority order 24. The priority order 24 is information indicating the priority order of maintenance of multiple pieces of equipment. The priority order 24 is determined based on the maintenance priority.

[0018] The maintenance support device 100 is a specific example of the maintenance support device 1. The maintenance support device 100 includes a failure rate calculation unit 110, a risk and maintenance cost calculation unit 120, a similar equipment calculation unit 130, and a priority order calculation unit 140. The similar equipment calculation unit 130 corresponds to the above-mentioned first calculation unit 11. The priority order calculation unit 140 corresponds to the above-mentioned second calculation unit 12. The failure rate calculation unit 110 is also referred to as a third calculation unit.

[0019] The equipment data 21 may include data on the year of manufacture and model of the equipment, the installation location, the inspection history, the failure history, the load applied to the equipment, the material of the equipment, the measurement results of sensors attached to the equipment, or the maintenance costs. The equipment data 21 may also include data on the skill set required for maintenance (e.g., qualifications, skills), the equipment required for maintenance (e.g., machine tools), or multiple pieces of equipment that need to be stopped simultaneously for maintenance.

[0020] The surrounding environment data 22 may include data on the distance between facilities, the weather at the installation location of the facilities, or areas that affect the facilities (e.g., the sea, highways). The surrounding environment data 22 may include data on the land use, geology, or vegetation at the installation location of the facilities. The surrounding environment data 22 may include data on the management area of ​​the facilities.

[0021] The damage prediction data 23 includes data representing the cost incurred when a failure occurs in each facility. The cost incurred due to the failure may be calculated based on the number of customers (e.g., households) affected when the facility fails, the expected damage amount per customer, the cost of repairing the facility, etc.

[0022] The maintenance support device 100 may simulate failures of facilities (e.g., power facilities, water facilities, gas facilities) and estimate customers (e.g., households) who will experience power outages, water outages, or gas supply interruptions. The maintenance support device 100 calculates economic losses or compensation amounts according to the size of each customer, and calculates the sum of economic losses or the sum of compensation amounts as the cost incurred due to the failure. Alternatively, the maintenance support device 100 may calculate the usage fee according to the period of outage of electricity, water, or gas as the cost incurred due to the failure. In addition, when the cost required for maintenance due to a sudden failure includes both the cost required for planned maintenance and additional costs, the maintenance support device 100 may calculate the cost incurred due to the failure by taking the additional costs into account.

[0023] The failure rate calculation unit 110 of the maintenance support device 100 calculates the failure rate of each piece of equipment based on the equipment data 21 and the surrounding environment data 22. For example, the failure rate calculation unit 110 may calculate the failure rate of each piece of equipment using a trained model that is trained to input the equipment data 21 and the surrounding environment data 22 and output a failure rate. The maintenance support device 100 may create the trained model based on the failure history or inspection history of each piece of equipment. The machine learning may be, for example, a decision tree, ensemble learning, or deep learning, but the type of machine learning is not particularly limited. In addition, the failure rate calculation unit 110 may calculate the failure rate of the equipment by performing a Weibull analysis based on the failure history of the equipment.

[0024] When the failure rate calculation unit 110 calculates the failure rate of the equipment using multiple types of data, the importance may be set for each type of data. The importance may be calculated by training a learned model.

[0025] The failure rate may be the probability that a failure occurs in the equipment in one year. The failure rate calculation unit 110 may calculate the failure rate using a known calculation method based on the expected years or the health score.

[0026] The risk / maintenance cost calculation unit 120 of the maintenance support device 100 calculates the risk when the above equipment fails by multiplying the failure rate of each equipment calculated by the failure rate calculation unit 110 by the cost based on the damage prediction data 23.

[0027] The similar equipment calculation unit 130 of the maintenance support device 100 calculates the similarity between a plurality of pieces of equipment based on the equipment data 21 and the surrounding environment data 22. The similar equipment calculation unit 130 can calculate the similarity using any one or more pieces of data included in the equipment data 21 and the surrounding environment data 22.

[0028] The similar equipment calculation unit 130 may calculate the similarity based on the following similarity calculation data, for example. The similarity calculation data may include, for example, data on the year of manufacture of the equipment, the type of the equipment, the distance between the installation locations of the equipment, or the weather at the installation locations of the equipment (e.g., maximum, minimum, or average values ​​of temperature, rainfall, salt damage, or wind force). The similarity calculation data may include data on the land use status, geology, or vegetation at the installation location of the equipment. The similarity calculation data may include data on the distance between the equipment and a predetermined area (e.g., sea, road) that affects the equipment. The similarity calculation data may include data on a combination of equipment with short downtime during maintenance. The downtime when the equipment related to this combination is maintained simultaneously is shorter than the sum of the downtimes when the equipment related to this combination is maintained separately. The similarity calculation data may include data on the management area of ​​the equipment, the skill set (e.g., qualifications, technology) required to maintain the equipment, the equipment (e.g., machine tools) required to maintain the equipment, or the schedule for maintaining the equipment.

[0029] The similar equipment calculation unit 130 may perform clustering using the data for similarity calculation. Equipment with high similarity is classified into the same cluster. The similar equipment calculation unit 130 may use any known clustering method (e.g., k-means). The similar equipment calculation unit 130 may also calculate a norm between multiple pieces of equipment using the data for similarity calculation, and determine whether the norm exceeds a threshold value. When the similarity is calculated using multiple types of data, the similar equipment calculation unit 130 may weight each type of data. The weighting amount may be set based on the importance obtained by calculating the failure rate of the equipment.

[0030] The priority order calculation unit 140 of the maintenance support device 100 calculates the maintenance priorities of multiple pieces of equipment. The priority order calculation unit 140 may repeat a process of moving equipment with a high maintenance priority to a maintenance list and raising the maintenance priority of similar equipment that has a high similarity to the equipment moved to the maintenance list.

[0031] 4 is a flowchart showing an example of the operation of the priority order calculation unit 140. First, the priority order calculation unit 140 calculates the maintenance priority of equipment based on the risk and maintenance cost of each equipment (step S101). The priority order calculation unit 140 may calculate, for example, (risk) / (maintenance cost) as the maintenance priority. The maintenance priority represents the amount of risk reduction per unit amount of maintenance cost. The priority order calculation unit 140 may also calculate (risk)-(maintenance cost) as the maintenance priority.

[0032] Next, the priority calculation unit 140 selects the candidate equipment with the highest maintenance priority from the equipment list (step S102), and moves the selected candidate equipment to the maintenance list (step S103). Next, the priority calculation unit 140 determines whether the sum of the maintenance costs of the equipment moved to the maintenance list has reached the target value (step S104). If the sum of the maintenance costs has reached the target value (YES in step S104), the process ends.

[0033] If the sum of the maintenance costs has not reached the target value (NO in step S104), the priority calculation unit 140 reduces the maintenance costs of similar equipment that has a high similarity to the candidate equipment (step S105). When the selected candidate equipment and similar equipment are maintained simultaneously, it is considered that the cost required for maintaining the similar equipment will decrease, so the priority calculation unit 140 may reduce the maintenance cost of the similar equipment to the necessary cost. After step S105, step S101 is executed, and the priority calculation unit 140 increases the maintenance priority of the similar equipment.

[0034] The maintenance support device 100 may include an output unit (not shown) that outputs information representing the maintenance priority of each piece of equipment and information representing the priority order of a plurality of pieces of equipment based on the maintenance priority to a display device (e.g., a display). For example, the maintenance support device 100 selects a candidate piece of equipment based on a user's operation on an input unit (not shown), and outputs information representing the maintenance priority order and information representing the priority order. By checking the change in priority order, the maintenance support device 100 can support the user in selecting an appropriate candidate piece of equipment. In addition, even when the maintenance support device 100 selects a candidate piece of equipment, the maintenance support device 100 may output the maintenance priority order and the priority order to a display device or the like. The output unit may further output the maintenance cost to a display device or the like. This allows the user to check the effect of a change in maintenance cost on the maintenance priority order.

[0035] Next, a specific example of a case where the creation of a maintenance plan for power equipment is supported will be described. The power equipment is, for example, a transformer installed on a utility pole, and the fault is caused by rust.

[0036] Referring to FIG. 3, the equipment data 21 includes data on the installation location of the transformer, rust inspection results, the model of the transformer, the year of manufacture of the transformer, regular maintenance costs, emergency maintenance costs, and simultaneous maintenance costs. The regular maintenance costs represent the costs of performing maintenance according to a plan. The emergency maintenance costs represent the costs of performing maintenance not according to a plan. The simultaneous maintenance costs represent the costs of performing maintenance on multiple pieces of equipment at the same time.

[0037] The ambient environment data 22 includes data on the distance between transformers, the distance between transformers and the sea, the average amount of rainfall for each month, and the temperature for each month. The data on temperature may include data on maximum temperature, minimum temperature, and average temperature.

[0038] The damage forecast data 23 is data showing a value obtained by multiplying the number of customers connected to each transformer, the average time it takes to restore the transformer, and the GDP (Gross Domestic Product) per capita.

[0039] The failure rate calculation unit 110 of the maintenance support device 100 calculates the failure rate of the transformer using the trained model. When creating the trained model, the failure rate calculation unit 110 determines a response variable based on the rust inspection result. The value of the response variable is, for example, 1 when there is a degree of rust that requires the transformer to be replaced, and 0 otherwise. The explanatory variables are equipment data 21 and surrounding environment data 22. The equipment data 21 may include data on the year and month when the transformer was installed. The failure rate calculation unit 110 uses information output from the trained model as the failure rate. In the process of creating the trained model, the failure rate calculation unit 110 calculates the importance of the explanatory variables and outputs the importance.

[0040] The risk / maintenance cost calculation unit 120 of the maintenance support device 100 multiplies the amount calculated by the formula {(emergency maintenance cost)-(normal maintenance cost)}+(damage prediction data) by the failure rate, and outputs the result as risk.

[0041] The similar equipment calculation unit 130 of the maintenance support device 100 clusters a plurality of pieces of equipment using a method such as k-means. The similar equipment calculation unit 130 calculates the similarity using normalized data of the equipment data 21 and the surrounding environment data 22. The value of the normalized data of the distance between the pieces of equipment is (distance between the equipment)-(predetermined distance) if the distance between the pieces of equipment is longer than a predetermined distance, and is 1 otherwise. Normalized data regarding the year of manufacture, distance to the sea, rainfall, and temperature difference are calculated in the same manner. In addition, the value of the normalized data of the model is 0 if the models are the same, and is 1 if the models are different. In addition, the similar equipment calculation unit 130 calculates the similarity taking into account the importance obtained when calculating the failure rate.

[0042] The similar equipment calculation unit 130 performs clustering until the number of pieces of equipment included in each cluster reaches a number designated by the user. The designated number corresponds to the maximum number of pieces of equipment that can be maintained simultaneously.

[0043] The operation of the priority calculation unit 140 of the maintenance support device 100 will be specifically described with reference to FIG. 4. The maintenance support device 100 prepares a list of a plurality of pieces of equipment in advance. The priority calculation unit 140 calculates the maintenance priority as (risk)-(maintenance cost) (step S101). When step S101 is executed for the first time, the normal maintenance cost may be set as the maintenance cost. Next, the priority calculation unit 140 selects the equipment with the highest maintenance priority as a candidate equipment (step S102), removes the selected candidate equipment from the equipment list, and moves it to the maintenance list (step S103). Next, the priority calculation unit 140 calculates the sum of the maintenance costs of the equipment moved to the maintenance list, and judges whether the calculation result reaches the target value or not (step S104). If the sum of the maintenance costs reaches the target value (YES in step S104), the priority calculation unit 140 ends the process. If the sum of the maintenance costs has not reached the target value (NO in step S104), the priority calculation unit 140 changes the maintenance costs of similar equipment classified into the same cluster as the selected candidate equipment from normal maintenance costs to concurrent maintenance costs (step S105). After step S105, step S101 is executed.

[0044] Next, a specific example of creating a maintenance plan for a waterworks facility will be described. The waterworks facility is, for example, a waterworks pipe.

[0045] 3, the equipment data 21 includes data on the installation location, model, manufacturing year, normal maintenance cost, emergency maintenance cost, and concurrent maintenance cost. The data on the model may include data on the average lifespan calculated for each model. The surrounding environment data 22 is data that indicates the connection relationship of water supply pipes. The damage prediction data 23 is data on the amount of water flowing through the target water pipe.

[0046] The failure rate calculation unit 110 of the maintenance support device 100 calculates the failure rate based on the average lifespan of each model as (years elapsed) / (average lifespan) / 2. The number of years elapsed may be the number of years elapsed from the year the water pipe was manufactured or installed to the present.

[0047] The risk / maintenance cost calculation unit 120 of the maintenance support device 100 calculates the risk of each water facility in the same manner as when maintaining electrical facilities.

[0048] The similar equipment calculation unit 130 of the maintenance support device 100 classifies multiple water pipes connected to the same section into the same cluster based on the surrounding environment data 22. It may be considered that the similarity between water pipes classified into the same cluster is 1, and the similarity between water pipes classified into different clusters is 0.

[0049] The priority order calculation unit 140 of the maintenance support device 100 calculates the priority order of a plurality of water facilities in the same manner as in the case of maintaining electrical facilities.

[0050] The effects of the maintenance support device 100 according to the second embodiment will be described. Equipment installed in the same environment or equipment manufactured in similar years often breaks down at the same time, so it is desirable to perform maintenance simultaneously. In addition, it is efficient to perform maintenance on similar equipment (e.g. equipment installed in close locations, equipment that needs to be stopped at the same time) simultaneously. However, the related technology does not take into account the similarity between equipment, and therefore it is not possible to create an appropriate maintenance plan. The maintenance support device 100 according to the second embodiment can calculate appropriate maintenance priorities by reducing the maintenance costs of equipment with high similarity, and can assist in selecting appropriate maintenance targets.

[0051] FIG. 5 is a block diagram showing a configuration example of the maintenance support device 1 and 100 (hereinafter, referred to as the maintenance support device 1, etc.). Referring to FIG. 5, the maintenance support device 1, etc. includes a network interface 1201, a processor 1202, and a memory 1203. The network interface 1201 is used to communicate with other network node devices constituting a communication system. The network interface 1201 may be used to perform wireless communication. For example, the network interface 1201 may be used to perform wireless LAN communication defined in the IEEE 802.11 series or mobile communication defined in 3GPP (registered trademark) (3rd Generation Partnership Project). Alternatively, the network interface 1201 may include, for example, a network interface card (NIC) conforming to the IEEE 802.3 series.

[0052] The processor 1202 reads out and executes software (computer programs) from the memory 1203 to perform the processing of the maintenance support device 1 and the like described using flowcharts or sequences in the above-mentioned embodiments. The processor 1202 may be, for example, a microprocessor, an MPU (Micro Processing Unit), a CPU (Central Processing Unit), or a GPU (Graphics Processing Unit). The processor 1202 may include multiple processors.

[0053] The memory 1203 is configured by a combination of volatile memory and non-volatile memory. The memory 1203 may include storage located remotely from the processor 1202. In this case, the processor 1202 may access the memory 1203 via an I / O interface (not shown).

[0054] 5, the memory 1203 is used to store software modules. The processor 1202 reads out and executes the software modules from the memory 1203, thereby performing the processing of the maintenance support device 100 and the like described in the above-mentioned embodiment.

[0055] As explained using Figures 2, 4, etc., each of the processors possessed by the maintenance support device 1, etc. executes one or more programs including a group of instructions for causing a computer to perform the algorithms explained using the drawings.

[0056] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-mentioned embodiments. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be appropriately combined with other embodiments.

[0057] Each drawing is merely an example for describing one or more embodiments. Each drawing may relate not only to one particular embodiment, but to one or more other embodiments. As can be understood by those skilled in the art, various features or steps described with reference to any one drawing may be combined with features or steps shown in one or more other drawings to create an embodiment not explicitly shown or described, for example. Not all features or steps shown in any one drawing are necessary to describe an exemplary embodiment, and some features or steps may be omitted. The order of steps described in any drawing may be changed as appropriate.

[0058] In the above examples, the program includes instructions (or software code) that, when loaded into a computer, cause the computer to perform one or more functions described in the embodiments. The program may be stored in a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, the computer-readable medium or tangible storage medium includes random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technology, CD-ROM, digital versatile disc (DVD), Blu-ray® disk or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device. The program may be transmitted on a transitory computer-readable medium or communication medium. By way of example and not limitation, the transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0059] A part or all of the above-described embodiments can be described as, but is not limited to, the following supplementary notes. (Appendix 1) A first calculation unit that calculates a similarity between a plurality of facilities; a second calculation unit that reduces a maintenance cost of a similar facility having a high similarity to a candidate facility included in the plurality of facilities, and calculates a maintenance priority based on the maintenance cost; A maintenance support device equipped with the above. (Appendix 2) The first calculation unit clusters the plurality of pieces of equipment and classifies pieces of equipment having a high degree of similarity to each other into the same cluster. 2. A maintenance support device as described in claim 1. (Appendix 3) The first calculation unit calculates the similarity based on at least one of a manufacturing year and a model of each piece of equipment. 3. A maintenance support device according to claim 1 or 2. (Appendix 4) The first calculation unit calculates the similarity based on a distance between each facility and the sea or a highway. 3. A maintenance support device according to claim 1 or 2. (Appendix 5) The second calculation unit calculates the maintenance priority every time the candidate equipment having a high maintenance priority is moved to a maintenance list. 3. A maintenance support device according to claim 1 or 2. (Appendix 6) The candidate facility is selected from among the plurality of facilities by a user operation, An output unit that outputs information indicating a priority order of the plurality of pieces of equipment based on the maintenance priority. 3. A maintenance support device according to claim 1 or 2. (Appendix 7) The maintenance priority is further based on the failure rate of each piece of equipment and the cost when a failure occurs. 3. A maintenance support device according to claim 1 or 2. (Appendix 8) A third calculation unit is further provided that calculates the failure rate of each piece of equipment using a plurality of types of data based on the importance level determined for each type of data, The first calculation unit calculates the similarity based on the importance. 8. A maintenance support device as described in claim 7. (Appendix 9) Calculate the similarity between multiple pieces of equipment, A maintenance cost of a similar facility having a high similarity to a candidate facility included in the plurality of facilities is reduced, and a maintenance priority based on the maintenance cost is calculated. Maintenance support method. (Appendix 10) A process of calculating a similarity between a plurality of facilities; a process of reducing a maintenance cost of a similar facility having a high similarity to a candidate facility included in the plurality of facilities, and calculating a maintenance priority based on the maintenance cost; A program that causes a computer to execute the following.

[0060] Some or all of the elements (e.g., configurations and functions) described in Supplementary Notes 2 to 8 that are dependent on Supplementary Note 1 may also be dependent on the maintenance support method of Supplementary Note 9 and the program of Supplementary Note 10 in a similar dependent relationship to Supplementary Notes 2 to 8. Some or all of the elements described in any Supplementary Note may be applied to various hardware, software, recording means for recording software, systems, and methods. [Explanation of symbols]

[0061] 1,100 Maintenance support equipment 11 First calculation section 12 Second Calculation Section 110 Failure rate calculation section 120 Risk and Maintenance Cost Calculation Department 130 Similar equipment calculation department 140 Priority calculation section 21 Facility Data 22 Ambient environment data 23 Damage Estimate Data 24 Priority

Claims

1. A first calculation unit that calculates a similarity between a plurality of facilities; a second calculation unit that reduces a maintenance cost of a similar facility having a high similarity to a candidate facility included in the plurality of facilities, and calculates a maintenance priority based on the maintenance cost; A maintenance support device equipped with the above.

2. The first calculation unit clusters the plurality of pieces of equipment and classifies pieces of equipment having a high degree of similarity to each other into the same cluster. The maintenance support device according to claim 1 .

3. The first calculation unit calculates the similarity based on at least one of a manufacturing year and a model of each piece of equipment. The maintenance support device according to claim 1 or 2.

4. The first calculation unit calculates the similarity based on a distance between each facility and the sea or a highway. The maintenance support device according to claim 1 or 2.

5. The second calculation unit calculates the maintenance priority every time the candidate equipment with a high maintenance priority is moved to a maintenance list. The maintenance support device according to claim 1 or 2.

6. The candidate facility is selected from among the plurality of facilities by a user operation, An output unit that outputs information indicating a priority order of the plurality of pieces of equipment based on the maintenance priority. The maintenance support device according to claim 1 or 2.

7. The maintenance priority is further based on the failure rate of each piece of equipment and the cost when a failure occurs. The maintenance support device according to claim 1 or 2.

8. A third calculation unit is further provided that calculates the failure rate of each piece of equipment using a plurality of types of data based on the importance level determined for each type of data, The first calculation unit calculates the similarity based on the importance. The maintenance support device according to claim 7.

9. Calculate the similarity between multiple pieces of equipment, A maintenance cost of a similar facility having a high similarity to a candidate facility included in the plurality of facilities is reduced, and a maintenance priority based on the maintenance cost is calculated. Maintenance support method.

10. A process of calculating a similarity between a plurality of facilities; a process of reducing a maintenance cost of a similar facility having a high similarity to a candidate facility included in the plurality of facilities, and calculating a maintenance priority based on the maintenance cost; A program that causes a computer to execute the following.

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