JP2023134126A - Information processor and information processing program - Google Patents

Abstract

To provide an information processor and information processing program that optimize the number of times of inspection of a plant and make inspection efficient.SOLUTION: A data acquisition unit 11 acquires information of an installation site of a maintenance apparatus arranged in a plant 1, ambient environment information of the maintenance apparatus, and system condition information of the maintenance apparatus. A replacement cycle calculation unit 13 estimates the apparatus condition of the maintenance apparatus on the basis of the information of the installation site, the ambient environment information, and the system condition information, and calculates a tentative replacement cycle of a replacement component on the basis of the apparatus condition, a recommended replacement cycle of the replacement component incorporated in the maintenance apparatus, and a proposed replacement cycle of the replacement component which has previously been proposed. An inspection cycle arithmetic unit 16 calculates a proposed replacement cycle of the replacement component on the basis of the tentative replacement cycle, the recommended replacement cycle, and an inspection record of the maintenance apparatus, and calculates an inspection cycle of the maintenance apparatus.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device and an information processing program.

Control systems used in various plants that use petroleum, petrochemicals, chemicals, gas, etc. maintain stable operation over long periods of time through regular maintenance. Many of the parts used in plant control systems have a limited lifespan, and standards such as estimated service life are specified in advance. Based on these standards, a long-term maintenance plan is drawn up, including parts replacement and cleaning work.

The estimated service life is specified by the manufacturer of each part, but the progress of deterioration and wear and tear varies greatly depending on the conditions and environment in which the part is used. For example, in an ideal environment such as a server room, it can be used until the upper limit of its service life. On the other hand, if the surrounding area is hot and humid or in a corrosive gas atmosphere, the risk of failure increases even before the service life has elapsed.

The environmental conditions for installing various types of equipment such as plant instrumentation equipment and computer equipment include the temperature inside the equipment, the ambient temperature of the equipment, the ambient humidity of the equipment, and the environment in order to maintain the safe operation of the equipment. The amount of floating dust in the surrounding area, the concentration of corrosive gases around equipment, etc. must be considered.

Generally, these installation environmental conditions such as temperature, humidity, dust, and corrosive gas continue to exert stress on various types of equipment over a long period of time. As a result of these stresses gradually accumulating, the functionality of various equipment deteriorates and deteriorates, eventually leading to the shutdown of the equipment, resulting in significant opportunity loss for users.

In order to prevent such opportunity losses due to equipment stoppages, it is necessary to accurately measure and understand the installation environment conditions, formulate and execute equipment maintenance plans based on the measurement results, and maintain equipment reliability over the long term. It is extremely important to maintain this over time.

Conventionally, when formulating a maintenance plan, a service engineer makes a comprehensive judgment by referring to installation environment diagnosis data, failure data, past inspection history, etc., and proposes a maintenance cycle and maintenance measures. The installation environment data is data obtained by measuring the temperature, humidity, dust, corrosive gas, etc. of the installation environment of the device in which each component is built. Furthermore, the failure data is information on the history of past failure devices.

Note that the following technologies have been proposed as technologies related to inspection planning. For example, based on maintenance information that includes inspection points in each area of the plant, each deterioration event, and the inspection period, an inspection plan that allocates each deterioration event to periodic inspections is generated, and the amount of inspection items in periodic inspections is calculated from the inspection plan. There is a technique for calculating and equalizing the amount of inspection items in periodic inspections (for example, Patent Document 1). In addition, past construction records and management standard values for equipment to be maintained are accumulated in relation to data items, and regression analysis is performed for each equipment to be maintained based on the accumulated data. There is a technique for changing the next inspection cycle (for example, Patent Document 2). In addition, we calculate the probability of each state transition between the normal state of the inspected object and each fault state and between each fault state, the amount of damage and repair cost according to the fault state, and the damage loss using a state transition model based on state changes. There is a technique for determining an inspection plan that minimizes the total cost by calculating the expected value of the repair cost and repair cost (for example, Patent Document 3).

Japanese Patent Application Publication No. 2016-014958 JP2002-297810A Japanese Patent Application Publication No. 2004-334457

However, the method in which service engineers refer to various data and make comprehensive judgments to formulate maintenance plans relies on qualitative judgment by the service engineer, so it is not suitable for service engineers with little experience. It is difficult to plan. As a result, there are situations in which an appropriate maintenance plan is not proposed, making it difficult to carry out inspections efficiently. In addition, when formulating conventional maintenance plans, information about the environment in which the inspection target is installed is not taken into account, making it difficult to calculate an appropriate inspection interval according to the environment, and making it difficult to carry out inspections efficiently. be.

The disclosed technology aims to provide an information processing device and an information processing program that optimize the number of plant inspections and improve inspection efficiency.

In one aspect of the information processing device and information processing program disclosed by the present application, the data collection unit includes information on the installation location of maintenance equipment arranged in a plant, information on the surrounding environment of the maintenance equipment, and system status information of the maintenance equipment. get. The replacement cycle calculation unit estimates the equipment status of the maintenance equipment based on the installation location information, the surrounding environment information, and the system status information acquired by the data collection unit, and calculates the estimated equipment status and the system status information. A provisional replacement cycle of the replacement part is calculated based on a recommended replacement cycle of the replacement part installed in the maintenance equipment and a proposed replacement cycle of the replacement part proposed in the past. The inspection cycle calculation unit calculates the proposed replacement cycle of the replacement part based on the provisional replacement cycle, the recommended replacement cycle, and the inspection record of the maintenance equipment calculated by the replacement cycle calculation unit, and calculates the proposed replacement cycle of the maintenance equipment. Calculate the inspection interval.

In one aspect, the present invention can optimize the number of plant inspections and improve the efficiency of inspections.

FIG. 1 is a diagram illustrating an example of the overall configuration of a system according to an embodiment. FIG. 2 is a diagram showing a list of information stored in the information processing device. FIG. 3 is a diagram of an example of an equipment replacement schedule table created by the inspection cycle calculating section. FIG. 4 is a diagram showing an example of parameters for adjustment according to the user. FIG. 5 is a diagram illustrating an example of a maintenance report when maintenance equipment is installed in a good environment with no problems in the installation environment. FIG. 6 is a diagram illustrating an example of a maintenance report when maintenance equipment is installed in an environment where the installation environment has some problems. FIG. 7 is a flowchart of maintenance plan formulation processing performed by the information processing apparatus according to the embodiment. FIG. 8 is a hardware configuration diagram of the information processing device.

Embodiments of the information processing apparatus and information processing program disclosed in the present application will be described in detail below with reference to the drawings. Note that the present invention is not limited to this example. In addition, the same elements are given the same reference numerals, redundant explanations are omitted as appropriate, and the embodiments can be combined as appropriate within a consistent range.

[Embodiment]
[overall structure]
FIG. 1 is a diagram illustrating an example of the overall configuration of an information processing apparatus according to an embodiment. As shown in FIG. 1, the information processing device 10 is connected to the plant 1 and the terminal device 2 via a network, whether wired or wireless.

The plant 1 is an example of various plants using petroleum, petrochemicals, chemicals, gas, etc., and includes factories and the like equipped with various facilities for obtaining products. Examples of products are LNG (liquefied natural gas), resins (plastics, nylon, etc.), chemical products, etc. Examples of facilities include factory facilities, mechanical facilities, production facilities, power generation facilities, storage facilities, facilities at wells for mining oil, natural gas, and the like.

The inside of the plant 1 is constructed using a distributed control system (DCS) or the like. For example, although not shown in the diagram, the control system in plant 1 uses process data used in plant 1 to control equipment such as field devices installed in the equipment to be controlled, and the target to be controlled. Execute various controls on operating equipment, etc. that correspond to the equipment. The control system includes a computer such as a server.

[Information processing device]
The information processing device 10 is a device that creates maintenance plans for various replacement parts that are installed in a control system installed in the plant 1 and are subject to maintenance. In the following explanation, control systems, industrial computers, and the like to be maintained are referred to as "maintenance equipment." Furthermore, aging parts and consumables that are built into maintenance equipment and are replaced regularly are called "replacement parts."

Examples of replacement parts include hard disks, filters, packings, gaskets, etc. provided in industrial computers. In the plant 1, various computers may be placed in locations other than the computer room near the work site in order to be used to control work support devices and the like. Locations near work sites can be subject to various environments that can cause replacement parts to deteriorate, such as environments with a large amount of suspended dust, environments with a highly corrosive atmosphere, and environments with strong magnetic fields. Therefore, unlike equipment placed in a computer room, it is strongly required that maintenance be performed in accordance with the unique environment of the plant 1.

As shown in FIG. 1, the information processing device 10 includes a data collection section 11, an equipment data storage section 12, a replacement cycle calculation section 13, a learning data storage section 14, a basic exchange data storage section 15, and an inspection cycle calculation section 16. .

The device data storage section 12, the learning data storage section 14, and the exchange basic data storage section 15 are storage devices. FIG. 2 is a diagram showing a list of information stored in the information processing device.

As shown in FIG. 2, the equipment data storage unit 12 stores system status data, maintenance equipment list, and installation environment data. The system status data is information that can be obtained from each maintenance device, such as data such as internal voltage and battery voltage of each maintenance device, and the number of operations. The control system maintenance equipment list is a list of maintenance equipment that is subject to maintenance, including replacement parts such as aging parts and consumables that are replaced periodically. The maintenance equipment list is created based on equipment specifications and stored in the equipment data storage section 12 in advance. The maintenance equipment list also registers information about the installation location where each maintenance equipment is installed and the replacement parts installed in each maintenance equipment. Installation locations include, for example, a central control room, a field control panel, and an electrical room. The installation environment data includes surrounding environment information indicating the environment around the maintenance equipment. The surrounding environment information includes information such as temperature and humidity, degree of corrosion, strength of magnetic field, and amount of floating dust. The degree of corrosion is expressed, for example, by the concentration of corrosive gas. The installation environment data can be acquired from an installation environment measurement unit placed in a space in the plant 1 where the maintenance equipment is placed.

The learning data storage unit 14 stores learning data used when correcting the replacement cycle. The learning data includes information on past proposal exchange cycles determined by the information processing device 10 based on the system status and installation environment of each maintenance device. As the learning data, information on a proposal exchange cycle obtained from a maintenance plan created by the maintenance plan formulation process described below is stored in the learning data storage unit 14.

The basic replacement data storage unit 15 stores inspection record data and information on recommended replacement cycles. The inspection record data is information on inspection records of maintenance equipment including calibration information, failure information, and replacement history of replacement parts in each maintenance equipment measured in periodic inspections. The inspection record data is created based on the periodic inspection report and stored in the exchange basic data storage section 15 in advance. The recommended replacement cycle is information on the recommended replacement cycle provided by the manufacturer of the replacement parts, which are parts with a limited lifespan and parts that deteriorate over time, which constitute the control system. Information on the recommended replacement cycle is written in a specification sheet provided by the manufacturer of the replacement part, and the information written in the specification sheet is stored in advance in the basic replacement data storage section 15.

Returning to FIG. 1, the explanation will be continued. The data collection unit 11 acquires system status information including data such as the internal voltage and battery voltage of each maintenance device and operation information of the maintenance target device such as the number of operations, etc. from each maintenance device arranged in the plant 1. In addition, the data collection unit 11 collects information on the unique surrounding environment of the plant 1 where the maintenance equipment is installed, including information such as temperature/humidity, degree of corrosion, magnetic field strength, and amount of suspended dust. Obtained from maintenance equipment. Then, the data collection unit 11 generates system status data and installation environment data based on the collected information, and stores them in the equipment data storage unit 12. The maintenance plan formulation process in the information processing device 10 is sequentially performed for all maintenance devices listed in the maintenance device list.

The replacement cycle calculation unit 13 calculates the recommended replacement cycle for each maintenance equipment before applying it to the actual operation based on the environmental information specific to the plant 1 where each maintenance equipment is installed, the recommended replacement cycle, and the past proposed replacement cycle for replacement parts. A provisional replacement cycle, which is a provisional replacement cycle for each replacement part, is calculated. The details of the replacement cycle calculation unit 13 will be explained below. The replacement cycle calculation unit 13 includes, for example, a device state estimation unit 131 and a correction unit 132.

The equipment state estimation unit 131 acquires system state data, maintenance equipment list, and installation environment data from the equipment data storage unit 12. Then, the equipment state estimating unit 131 extracts the maintenance equipment whose inspection period is to be determined from the maintenance equipment list.

Next, the equipment state estimating unit 131 performs multiple regression analysis on the extracted maintenance equipment using the system state data and the installation environment data to determine the equipment state. For example, the equipment state estimating unit 131 classifies the equipment state of each maintenance equipment into four levels from good to poor.

More specifically, the equipment condition estimating unit 131 determines, based on the installation environment data, that there is no problem, that there is no problem, that there is no problem with the amount of airborne dust, sulfur dioxide gas concentration, hydrogen sulfide concentration, and chlorine gas concentration that are specific to the plant 1, for example. The environmental status is determined by making a four-step judgment such as whether re-inspection or detailed inspection is required.

Furthermore, for each type of replacement part, the following relationships can be considered for each environmental condition. For example, if the ambient temperature is high, it is conceivable that the battery or power supply unit (electrolytic capacitor) will deteriorate further. Furthermore, if there is a lot of dust, it is possible that dust accumulates on moving parts (rotating bodies, etc.) of filters, DVDs, etc., leading to further deterioration. Further, when the concentration of corrosive gas is high, it is possible that the electronic board is corroded and deterioration progresses. Although the metals affected differ slightly depending on the gas components, corrosive gases are thought to affect electronic components in general. Specifically, sulfur dioxide gas is thought to degrade copper, iron, zinc, aluminum, etc., hydrogen sulfide degrades copper and silver, and chlorine gas degrades copper, tin, silver, and iron. In other words, in environments with a highly corrosive atmosphere, the policy is to shorten the replacement cycle of maintenance equipment such as computers and control systems. Therefore, the equipment state estimating unit 131 determines the equipment state of each maintenance equipment, taking into consideration the influence of the environmental state ascertained by the method described above on the deterioration of each replacement part.

Next, the equipment state estimating unit 131 obtains information on the recommended replacement cycle for each type of replacement part mounted on the extracted maintenance equipment from the basic replacement data storage unit 15. Then, the equipment state estimating unit 131 modifies the recommended replacement cycle of each replacement part and sets a first replacement cycle according to the determination result of the equipment state of the maintenance equipment. Thereafter, the equipment state estimating unit 131 outputs information on the first replacement cycle regarding each replacement part installed in the maintenance equipment to the correcting unit 132.

For example, the device state estimation unit 131 calculates the first replacement cycle using the following method. The device state estimating unit 131 performs learning to modify the recommended replacement cycle according to the device state and set the first replacement cycle. Specifically, the device condition estimating unit 131 sets the first replacement period of the installed replacement part longer than the recommended replacement period if the device condition is good, and sets the first replacement period of the installed replacement part longer than the recommended replacement period if the device condition is poor. Learn to set the first replacement cycle shorter than the recommended replacement cycle. Then, the equipment state estimating unit 131 uses the equipment state of the maintenance equipment in which the replacement part is mounted and the recommended replacement cycle of the replacement part to obtain a first replacement cycle by modifying the recommended replacement cycle from the learning result.

The correction unit 132 receives input of the first replacement cycle for each replacement part installed in the target maintenance equipment from the equipment state estimation unit 131. Next, the correction unit 132 obtains learning data from the learning data storage unit 14. Then, the correction unit 132 acquires, from the learning data, the proposed replacement cycle for each replacement part that was proposed in the past by the service engineer P1 to the user P2 according to the equipment state of each maintenance device.

Here, the correction unit 132 holds in advance a correction ratio according to the difference between the learning data and the first replacement cycle set by the device state estimation unit 131, based on input from the service engineer P1. Then, the correction unit 132 compares the learning data with the replacement cycle set by the device state estimation unit 131, and corrects the second replacement cycle at the rate set by the service engineer P1 according to the difference. Create each. Thereafter, the correction unit 132 outputs the created second replacement cycle to the inspection cycle calculation unit 16 as a provisional replacement cycle.

Here, an example of calculation of the provisional replacement cycle by the replacement cycle calculation unit 13 will be explained. For example, the replacement cycle calculation unit 13 holds the following formula (1).

Here, Dn is the identification information of the maintenance equipment, Cn is the customer name, Yn is the proposal year, a1 is the installation environment, a2 is the recommended replacement cycle, and a3 is the proposed replacement cycle. . The replacement cycle calculation unit 13 performs multiple regression analysis on the data sets a1 to a3 for each replacement part using equation (1), and learns the proposed replacement cycle.

Furthermore, the replacement cycle calculation unit 13 holds the following formula (2).

Here, Pn is weighting for each proposal, and is a parameter whose setting can be changed by the service engineer P1. Further, f is learning data.

The replacement cycle calculation unit 13 performs regression analysis for each proposal on S determined by formula (1). Then, the replacement cycle calculating unit 13 adds the learning data calculated by formula (2) to the estimated results of the equipment status of the maintenance equipment having the same identification information, thereby determining whether each maintenance equipment of the specific customer Calculate the provisional replacement cycle for each replacement part. In this case, the replacement cycle calculation unit 13 calculates the first replacement cycle using the device status and the second replacement cycle using the learning data, through calculations based on learning using formulas (1) and (2). are performed all at once to calculate the provisional replacement cycle.

The inspection cycle calculation unit 16 receives from the correction unit 132 an input of a provisional replacement cycle for each replacement part installed in the target maintenance equipment. In addition, the inspection cycle calculation unit 16 receives inspection record data and recommended replacement cycles from the basic exchange data storage unit 15 . Next, the inspection cycle calculation unit 16 uses the obtained provisional replacement cycle to determine a proposed replacement cycle that matches the actual operation according to the inspection record and the recommended replacement cycle, and calculates the inspection cycle.

For example, if the part is a replacement part that can be replaced while the plant is in operation, the inspection cycle calculation unit 16 determines the inspection cycle by using the provisional replacement cycle as the proposed replacement cycle. In addition, for replacement parts to be replaced during regular maintenance, the inspection cycle calculation unit 16 sets a proposed replacement cycle based on the provisional replacement cycle so as not to exceed the recommended replacement cycle, taking into account the inspection record data and the regular repair cycle. decide. Then, the inspection cycle calculation unit 16 calculates the inspection cycle of the maintenance equipment according to the proposed replacement cycle of each of the determined replacement parts.

Then, the inspection cycle calculation unit 16 summarizes the inspection cycles of maintenance equipment including the calculated proposed replacement cycle for each replacement part in a tabular format, and generates an equipment replacement plan table 20. Thereafter, the inspection cycle calculation unit 16 transmits the equipment replacement schedule 20 to the terminal device 2 operated by the service engineer P1.

FIG. 3 is a diagram of an example of an equipment replacement schedule table created by the inspection cycle calculating section. Maintenance equipment #1 shown in FIG. 3 is equipped with three replacement parts A to C. In the equipment replacement schedule table 20, recommended replacement cycles, determination results of equipment installation states, proposed replacement cycles, and past proposed case data are registered. Further, in the equipment replacement plan table 20, as a future maintenance plan, for each of the replacement parts A to C, when to replace them during regular repairs or when to replace them outside of regular repairs is registered. The equipment replacement plan table 20 is created for each maintenance equipment.

After that, when the service engineer P1 decides to perform adjustment according to the user P2 on the equipment replacement schedule 20 outputted by the inspection cycle calculation unit 16, the inspection cycle calculation unit 16 adjusts the parameters according to the user P2. A value input is received from the terminal device 2. Then, the inspection cycle calculation unit 16 adjusts the calculation used to calculate the inspection cycle according to the adjusted value of the acquired parameter, and uses the adjusted calculation to determine the inspection cycle of each replacement part installed in the target maintenance equipment. is calculated again, and a new equipment replacement schedule 20 is created and sent to the terminal device 2.

The terminal device 2 receives the input of the equipment replacement schedule 20 from the inspection cycle calculating section 16 . Then, the terminal device 2 displays the received equipment replacement schedule 20 on a monitor and provides it to the service engineer P1.

The service engineer P1 uses the terminal device 2 to check the equipment replacement schedule 20 provided by the information processing device 10. Then, the service engineer P1 determines whether or not to make adjustments to the equipment replacement schedule 20 in accordance with the user P2, that is, whether the equipment replacement schedule 20 is incomplete or completed.

When making adjustments tailored to the user P2, the service engineer P1 takes into consideration conditions such as the budget, risk sensitivity, and repair period of the user P2, and makes adjustments regarding these conditions in the calculation performed by the inspection cycle calculating section 16 to calculate the inspection cycle. Adjust parameters.

FIG. 4 is a diagram showing an example of parameters for adjustment according to the user. For example, the parameters include risk at the time of failure, maintenance budget, and repair period. Adjustment values expressed in four stages are set for each parameter. Service engineer P1 determines adjustment values for each parameter for user P2. For example, the service engineer P1 determines that, for the user P2, the risk of failure is "high," the maintenance budget is "slightly large," and the repair period is "short." Then, the service engineer P1 inputs the determined adjustment values of each parameter into the inspection cycle calculation section 16 using the terminal device 2.

On the other hand, if the maintenance plan is complete and no adjustment is required for the user P2, the service engineer P1 converts the equipment replacement plan 20 into a report format using the terminal device 2 and creates a maintenance report 25. Generate and output. For example, the service engineer P1 generates the maintenance report 25 by collecting maintenance equipment for each installation location and converting it into a format in which a cover page, summary, etc. can be written in addition to the equipment replacement plan 20. Thereafter, the service engineer P1 fills in necessary information in the maintenance report 25, and then provides the maintenance report 25 to the user P2.

Furthermore, the service engineer P1 uses the terminal device 2 to generate learning data including the replacement cycle of each replacement part proposed to the user P2 and information on the status of each device, and sends it to the learning data storage unit 14. Store it.

FIG. 5 is a diagram illustrating an example of a maintenance report when maintenance equipment is installed in a good environment with no problems in the installation environment. As shown in FIG. 5, customer information including, for example, the name of the user P2, the type of plant, the date of delivery, and the installation location is registered in the maintenance report 25. Furthermore, the maintenance report 25 is attached with an installation environment diagnosis result indicating the state of the installation location of the maintenance equipment. In this case, since this is an example in which the installation environment is good, all the installation environment diagnosis results are determined to be OK. Furthermore, the maintenance report 25 describes a control system and an industrial PC as installation environment protection equipment. Then, a recommended replacement cycle and a proposed replacement cycle are written for each replacement part installed in the maintenance equipment. In this case, since the equipment condition is good, the proposed replacement cycles of all replacement parts match the recommended replacement cycles.

FIG. 6 is a diagram illustrating an example of a maintenance report when maintenance equipment is installed in an environment where the installation environment has some problems. This case is an example where the maintenance equipment is installed in a place where the ambient temperature is high and there is an atmosphere of chlorine gas. As shown in FIG. 6, customer information and installation environment diagnosis results are attached to the maintenance report 25, similarly to FIG. In this case, since this is an example of a location where the ambient temperature is high and the atmosphere is chlorine gas, the ambient temperature and chlorine gas concentration are NG as shown in columns 101 and 102 of installation environment diagnosis results. In addition, since the amount of floating dust is NG, it can be seen that there is a lot of dust. The overall test result is NG. Furthermore, the maintenance report 25 describes a control system and an industrial PC as installation environment protection equipment. In this case, since there is a slight problem with the installation environment, for example, for the power supply unit shown in column 103, the recommended replacement cycle is 8 years, but the proposed replacement cycle is 6 years. In addition, it can be seen that batteries, DVDs, etc. are easily affected by the installation environment, and it is better to shorten the replacement cycle. As described above, when it is preferable to replace replacement parts at a replacement cycle different from the normal recommended replacement cycle due to the unique environment of the plant 1, the information processing device 10 according to the present embodiment It is possible to provide a proposal exchange cycle suitable for the unique environment of No. 1.

Here, in FIGS. 5 and 6, the maintenance report 25 is displayed in a format that provides the user P2 with the recommended replacement cycle and the proposed replacement cycle for each replacement part, but the content provided is not limited to this. For example, all the information in the equipment replacement schedule table 20 shown in FIG. 3 may be placed in the part replacement cycle section of FIG. 5.

[Flow of maintenance plan formulation process]
FIG. 7 is a flowchart of maintenance plan formulation processing performed by the information processing apparatus according to the embodiment. Next, with reference to FIG. 7, a flow of maintenance plan formulation processing by the information processing device 10 according to the embodiment will be described. Here, a case will be described in which system status data, a maintenance equipment list, and installation environment data are already stored in the equipment data storage unit 12.

The equipment state estimation unit 131 reads system state data, maintenance equipment list, and installation environment data from the equipment data storage unit 12 (step S1).

Next, the device state estimating unit 131 performs calculations using the acquired system state data, maintenance device list, and installation environment data to estimate the device state of each device to be maintained. Furthermore, the equipment state estimating unit 131 uses the estimation result of the equipment state to modify the recommended replacement cycle acquired from the basic replacement data storage unit 15, and calculates the first replacement cycle for each replacement part in each maintenance equipment. (Step S2).

The correction unit 132 acquires learning data from the learning data storage unit 14. Then, the correction unit 132 corrects the first replacement cycle calculated by the equipment state estimation unit 131 using the learning data, calculates a second replacement cycle for each replacement part in each maintenance equipment, and temporarily calculates a second replacement cycle for each replacement part in each maintenance equipment. The exchange period is determined (step S3).

The inspection cycle calculation unit 16 performs calculations based on the provisional replacement cycle, taking into account the regular repair cycle and the recommended replacement cycle, determines the proposed replacement cycle for each replacement part in each maintenance device, and calculates the inspection cycle. (Step S4).

Thereafter, the inspection cycle calculation unit 16 converts the calculated inspection cycle into a tabular format, generates an equipment replacement schedule table 20, and transmits it to the terminal device 2 (step S5).

The service engineer P1 checks the equipment replacement plan 20 sent to the terminal device 2 and determines whether the maintenance plan is completed (step S6).

If the maintenance plan is not completed and the parameters are to be adjusted according to the user P2 (step S6: negative), the service engineer P1 determines the adjustment values for each parameter and uses the terminal device 2 to calculate the inspection cycle calculation unit. Send to 16. Thereby, the calculation for calculating the inspection period performed by the inspection period calculating section 16 is adjusted, and the parameters are adjusted according to the user P2 (step S7). After that, the maintenance plan formulation process returns to step S4.

On the other hand, if the maintenance plan is completed (step S6: affirmative), the service engineer P1 converts the equipment replacement plan 20 into a report format using the terminal device 2, creates and outputs the maintenance report 25. . Furthermore, the service engineer P1 uses the terminal device 2 to create learning data including the proposed replacement cycle and device status of each replacement part, and stores it in the learning data storage unit 14 (step S8).

[effect]
As described above, the information processing device according to the embodiment calculates the equipment status of the maintenance equipment based on the environmental information of the installation location of the maintenance equipment, and calculates the equipment status of each maintenance equipment installed on the maintenance equipment based on the equipment status. Correct the parts replacement cycle. Further, the information processing device corrects the exchange cycle using the proposed exchange cycle proposed in the past as learning data, and determines a provisional exchange cycle. After that, a proposed replacement cycle is determined based on the provisional replacement cycle based on the inspection data, etc., and the inspection cycle is calculated.Furthermore, when making adjustments for each user, the parameters are adjusted and the inspection cycle is calculated again. Create maintenance reports. In this way, by using machine learning to learn quantitative data such as inspection data and installation environment, an appropriate inspection cycle can be calculated. This makes it possible to optimize the number of plant inspections and make inspections more efficient. Furthermore, the information processing device according to the embodiment allows young engineers other than experienced engineers to make similar proposals, so it is possible to optimize the number of plant inspections without relying on experience.

[system]
Information including processing procedures, control procedures, specific names, and various data and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified.

Furthermore, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. That is, the specific form of distributing and integrating each device is not limited to what is shown in the drawings. In other words, all or part of them can be functionally or physically distributed and integrated into arbitrary units depending on various loads and usage conditions.

Furthermore, each processing function performed by each device is realized in whole or in part by a CPU (Central Processing Unit) and a program that is analyzed and executed by the CPU, or by hardware using wired logic. It can be realized as

[hardware]
Next, an example of the hardware configuration of the information processing device 10 will be described. FIG. 8 is a hardware configuration diagram of the information processing device. As shown in FIG. 8, the information processing device 10 includes a processor 91, a memory 92, a communication device 93, and an HDD (Hard Disk Drive) 94. Further, the processor 91 is connected to a memory 92, a communication device 93, and an HDD 94 via a bus.

The communication device 93 is a network interface card or the like, and is used for communication with other information processing devices. For example, the communication device 93 relays communication between the processor 91 and maintenance equipment such as a control system located in the plant 1.

HDD 94 is an auxiliary storage device. The HDD 94 realizes the functions of the device data storage section 12, the learning data storage section 14, and the exchange basic data storage section 15. Furthermore, the HDD 94 stores various programs including programs for realizing the functions of the data collection section 11, the equipment state estimation section 131, the correction section 132, and the inspection cycle calculation section 16.

The processor 91 reads various programs stored in the HDD 94, expands them into the memory 92, and executes them. Thereby, the processor 91 realizes the functions of the data collection section 11, the equipment state estimation section 131, the correction section 132, and the inspection cycle calculation section 16.

In this way, the information processing device 10 operates as an information processing device that executes various processing methods by reading and executing programs. Further, the information processing device 10 can also realize the same functions as in the above-described embodiments by reading the program from the recording medium using the medium reading device and executing the read program. Note that the program here is not limited to being executed by the information processing device 10. For example, the present invention can be similarly applied to cases where another computer or server executes a program, or where these computers or servers cooperate to execute a program.

This program can be distributed over a network such as the Internet. In addition, this program is recorded on a computer-readable recording medium such as a hard disk, flexible disk (FD), CD-ROM, MO (Magneto-Optical disk), or DVD (Digital Versatile Disc), and is read from the recording medium by the computer. It can be executed by being read.

1 Plant 2 Terminal device 10 Information processing device 11 Data collection unit 12 Equipment data storage unit 13 Replacement cycle calculation unit 14 Learning data storage unit 15 Exchange basic data storage unit 16 Inspection cycle calculation unit 20 Equipment replacement schedule 25 Maintenance report 131 Equipment status Estimation unit 132 Correction unit

Claims (6)

a data collection unit that acquires information on the installation location of maintenance equipment located in the plant, information on the surrounding environment of the maintenance equipment, and system status information of the maintenance equipment;
The equipment status of the maintenance equipment is estimated based on the installation location information, the surrounding environment information, and the system status information acquired by the data collection unit, and the equipment status of the equipment installed in the maintenance equipment is estimated. a replacement cycle calculation unit that calculates a provisional replacement cycle of the replacement part based on a recommended replacement cycle of the replacement part and a proposed replacement cycle of the replacement part proposed in the past;
Inspection that calculates the proposed replacement cycle of the replacement part based on the provisional replacement cycle, the recommended replacement cycle, and the inspection record of the maintenance equipment calculated by the replacement cycle calculation unit, and calculates the inspection cycle of the maintenance equipment. An information processing device comprising: a periodic calculation section; The replacement cycle calculation unit includes:
an equipment state estimation calculation unit that estimates the equipment state, corrects the recommended replacement cycle based on the estimated equipment state, and calculates a first replacement cycle;
A second replacement cycle is calculated by correcting the first replacement cycle calculated by the equipment state estimation calculation unit based on the proposed replacement cycle proposed in the past for the replacement part, and the provisional replacement cycle is calculated. The information processing device according to claim 1, further comprising: a correction unit that is. 3. The information processing apparatus according to claim 1, wherein the inspection cycle calculation unit creates and outputs an equipment replacement schedule table in which the inspection cycles are expressed in a table format. The inspection cycle calculation unit receives input of information on adjustment of parameters included in the calculation used to calculate the proposal exchange period, which is determined based on the proposal exchange period, and performs the calculation in which the parameters are adjusted. 4. The information processing apparatus according to claim 1, wherein the information processing apparatus calculates a new proposal exchange cycle based on the above information. 5. The information processing device according to claim 1, wherein the surrounding environment information includes temperature and humidity, amount of suspended dust, and concentration of corrosive gas. Obtaining information on the installation location of maintenance equipment located in the plant, information on the surrounding environment of the installation location, and system status information of the maintenance equipment,
Estimating the equipment status of the maintenance equipment based on the installation location information, the surrounding environment information, and the system status information,
Calculating a provisional replacement cycle for the replacement part based on the estimated equipment condition, a recommended replacement cycle for the replacement part installed in the maintenance equipment, and a proposed replacement cycle proposed in the past for the replacement part;
Calculating the proposed replacement cycle of the replacement part based on the provisional replacement cycle, the recommended replacement cycle, and the inspection record of the maintenance equipment, and calculating the inspection cycle of the maintenance equipment by causing a computer to execute the process. Information processing program.

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