Maintenance support device, maintenance support method, and maintenance support program
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- HITACHI GE NUCLEAR ENERGY LTD
- Filing Date
- 2023-03-17
- Publication Date
- 2026-05-26
Smart Images
Figure 0007865909000001 
Figure 0007865909000002 
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Abstract
Description
Technical Field
[0001] The present invention relates to a maintenance support device, a maintenance support method, and a maintenance support program for assisting a long-term inspection plan in a nuclear power plant.
Background Art
[0002] In a nuclear power plant, during a periodic inspection (routine inspection), the reactor is stopped, and inspections, component replacements / repairs (hereinafter collectively referred to as "maintenance" in this specification), and modification work are performed on each facility of the nuclear power plant. This periodic inspection is carried out based on a routine inspection process plan in order to be implemented within a predetermined period.
[0003] For example, in Patent Document 1, a database that stores implementation work information during a routine inspection period input from an input unit, inspection equipment data, safety regulation data, and past routine inspection process performance data, and among the implementation work information during the routine inspection period stored in the database, a main process table consisting of main processes related to critical processes is automatically generated by referring to past routine inspection process performance data from the basic information related to critical processes, and a routine inspection process creation procedure creation functional unit that determines the order for determining the implementation timing of the inspection process for the inspection equipment from the implementation work information related to a plurality of inspection equipment other than critical processes, and a process table creation functional unit that displays the periods that can be assigned to the main process table when determining the implementation timing of the inspection process for the inspection equipment in accordance with the order are provided, and a creation support device for a periodic inspection process that enables the creation of a routine inspection process plan based on the safety of a power generation plant even without a skilled technician is disclosed.
[0004] In recent years, in nuclear power plants, in order to constantly confirm and guarantee that each facility and equipment is manufactured, installed, operated, and maintained (maintained) as required by the design requirements, an effort called Configuration Management (CM) that maintains and manages the consistency of the three elements of design requirements, design configuration information, and physical configuration is required in the management of the operator.
[0005] [Patent Document 1] Japanese Patent Publication No. 2021-135144 [Overview of the Initiative] [Problems that the invention aims to solve]
[0006] In nuclear power plants, maintenance work may temporarily alter the physical configuration of the actual structures, facilities, systems, and equipment. During such temporary changes to the physical configuration of a nuclear power plant, it is desirable to conduct a Construction Management (CM) that includes how each maintenance operation affects the parameters (constraints) necessary to ensure the integrity of the nuclear power plant, in order to ensure safety.
[0007] However, during periodic inspections where various tasks are carried out in parallel, it is difficult to manually collect and manage this information, making it difficult to grasp the impact on the health of the nuclear power plant. The periodic inspection process creation support device described in Patent Document 1 also does not take this information into consideration.
[0008] Furthermore, even during plant shutdown periods, external events such as earthquakes, tsunamis, tornadoes, and volcanic eruptions, as well as internal events such as flooding and fires, are anticipated. To minimize the ripple effects of these hazard events and ensure plant safety and protect equipment, it is necessary to constantly monitor hazard boundary information for both functionally maintained and functionally lost areas, and to take appropriate measures according to the situation. During periodic inspections, many tasks are progressing simultaneously in numerous areas, which presents a problem as it makes it difficult for managers to comprehensively grasp the operational status of hazard barriers.
[0009] The object of the present invention is to provide a maintenance support device, a maintenance support method, and a maintenance support program that ensure the integrity of a nuclear power plant during temporary changes to its physical configuration caused by maintenance work, and that plan processes that meet constraints such as safety and hazard management during the execution of such work. [Means for solving the problem]
[0010] To solve the aforementioned problems, the maintenance support device of the present invention is a maintenance plan for a nuclear power plant. A maintenance support device that assists in the creation of and is connected to a data center database in a communicative manner, the The maintenance plan consists of work management units and at least one of the following: safety and hazard management information, system operation information, and laws and regulations information assigned to the said work management units. Information Using as input, create the process and The most Process Optimization Department Equipped with , The process optimization unit obtains the work management units to be executed during the periodic inspection period from the database, obtains the information corresponding to the work management units from the database, selects a critical work management unit from the work management units based on the information and predetermined setting constraints entered by the user, performs process optimization calculations for the critical work management unit to create a critical process, determines whether a new critical work management unit will be generated using the duration information of the critical process as a constraint, and if a new critical work management unit is generated, repeats the process optimization calculations for the new critical work management unit. I did that. [Effects of the Invention]
[0011] According to the present invention, it is possible to provide a maintenance plan that ensures the integrity of a nuclear power plant during temporary changes to its physical configuration caused by maintenance work. [Brief explanation of the drawing]
[0012] [Figure 1] This is a functional block diagram of the maintenance support device according to the embodiment. [Figure 2] This diagram shows the physical configuration of the maintenance support device. [Figure 3] This diagram shows the method for calculating parallel work constraints. [Figure 4] This diagram shows how to resolve parallel work constraints. [Figure 5] This is a flowchart for maintenance support processing. [Figure 6] This is a flowchart of the process optimization procedure. [Figure 7] This figure shows an example of work steps and resource information display. [Figure 8] This is a table that categorizes work management units into patterns. [Figure 9] This figure shows a screen displaying the Pareto solution, which is the result of process analysis. [Figure 10] This is a flowchart for process progress management support. [Figure 11]It is a diagram showing a screen that indicates a critical work management unit, constraints, and affected parties. [Figure 12] It is a diagram showing a screen that indicates a sub-critical work management unit, constraints, and affected parties. [Figure 13] It is a diagram showing other physical configurations of the maintenance support device. [Figure 14] It is a flowchart of the improvement item consideration support process. [Figure 15] It is a diagram showing an output screen that displays the optimized process. [Figure 16] It is a diagram showing an output screen that displays the simulation results. [Figure 17] It is a diagram explaining resource load leveling.
Embodiments for Carrying Out the Invention
[0013] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. The maintenance support device, maintenance support method, and maintenance support program according to the embodiment manage by associating the work management unit of the nuclear power plant with the safety / hazard management information, system operation information, and law / regulation information of the nuclear power plant. And by assigning the temporary change information of the physical configuration that occurs during the implementation of the work management unit to the work management unit, it supports the creation and implementation of a work plan that ensures the soundness of the nuclear power plant during operation.
[0014] FIG. 1 is a functional block diagram of a maintenance support device 1 according to an embodiment. The maintenance support device 1 includes a processing unit 11 including a process optimization unit 111 and a parallel work constraint calculation unit 112, a constraint condition storage unit 121, and an optimization calculation result storage unit 122, and manages including how each maintenance work affects the parameters (constraint conditions) for ensuring the soundness of the nuclear power plant.
[0015] The maintenance support device 1 receives information from the safety and hazard management information database 22, the system operation database 25, the laws and regulations database 26, and the work management unit database 21, calculates work progress management information 32 and an optimized work plan 33, and outputs them to the user's process management system 61 or process management database 62. The optimized work plan 33 is also stored in the optimization calculation result storage unit 122.
[0016] The Safety and Hazard Management Information Database 22 is a database that stores safety management and hazard management information for nuclear power plants. The Safety and Hazard Management Information Database 22 stores safety management and hazard management information assigned to work management units.
[0017] More specifically, the information stored in the Safety and Hazard Management Information Database 22 includes isolation range information for each system, isolation step information for each system, placement information for function maintenance equipment based on isolation information, hazard area information, hazard boundary configuration information for each function maintenance equipment, permissible fire load information for fire area, permissible floor area (volume) information for flood area, fire load information for items brought in, floor occupancy area (volume) information for items brought in, and information on the collapse of hazard boundaries, as well as function management information and hazard barrier / hazard boundary management information to be maintained for the safety of the power plant.
[0018] Furthermore, the safety and hazard management information database 22 stores information on temporary changes to the physical configuration of equipment due to the execution of work, or configuration information or design requirement information of equipment subject to temporary changes.
[0019] The work management unit database 21 is a database that stores information on work management units for nuclear power plants. The information stored in the work management unit database 21 includes work management unit ID, work execution cycle or execution trigger, work area information, target equipment information, work start condition information, work completion condition information, resources required for the work, work step information using shared equipment within the work area such as overhead cranes, work step information using shared facilities such as large item loading docks, and information on items brought in, and is related to the identification and management of the work.
[0020] For more details, the work area information includes the loading and unloading areas for the work, as well as area constraints. Furthermore, the target equipment information includes equipment name, equipment management number, inspection cycle, required equipment functions, equipment status, and information on changes in physical configuration. The context of the work includes network paths or ancillary work. Resources required for the work include personnel, skills, work support equipment, and materials. Standard processes include standard working time, work location, and work content.
[0021] The information stored in the system operation database 25 includes system operation / standby information during scheduled maintenance, system target equipment information, and information that enables the system operation to be automatically selected based on which system / category the equipment being worked on belongs to.
[0022] The information stored in the Laws and Regulations Database 26 includes information such as safety regulations that impose constraints on work due to laws and regulations.
[0023] The plant health database 24 is a database that stores information on the functions, operating equipment, and standby equipment required during plant operation and shutdown, respectively.
[0024] User input information 31 is information that the user instructs the maintenance support device to use, and includes information such as operating cycle period information, available resource information, resource cost information, target values for the plan, fine-tuning of the plan, and work progress information.
[0025] The processing unit 11 is composed of, for example, a CPU (Central Processing Unit) and performs various calculation processes. The processing unit 11 implements the maintenance support program 123 shown in Figure 2, thereby realizing the process optimization unit 111 and the parallel work constraint calculation unit 112.
[0026] When the process optimization unit 111 receives information from the safety and hazard management information database 22, the system operation database 25, the laws and regulations database 26, and the work management unit database 21, it works in cooperation with the parallel work constraint calculation unit 112 to calculate work progress management information 32 and an optimized work plan 33. In other words, the process optimization unit 111 optimizes the process using the work management units that constitute the maintenance plan for the equipment of the nuclear power plant and the information assigned to those work management units as input.
[0027] The parallel work constraint calculation unit 112 calculates the constraints for parallel work. The process optimization unit 111 optimizes the process using work management units and configuration management information assigned to those work management units, under the constraints of the work calculated by the parallel work constraint calculation unit 112.
[0028] Figure 2 shows the physical configuration of the maintenance support device 1. The maintenance support device 1 is a computer comprising a processing unit 11, a storage unit 12, an input unit 13, a communication unit 14, and an output unit 15, and is installed in an on-premise environment or a cloud environment.
[0029] The processing unit 11 executes the maintenance support program, thereby realizing the process optimization unit 111 and the parallel work constraint calculation unit 112. The memory unit 12 is composed of a large-capacity storage device such as an SSD (Solid State Drive) or a hard disk drive, and stores the constraint condition storage unit 121, the optimization calculation result storage unit 122, and the maintenance support program 123.
[0030] The communication unit 14 is, for example, a network interface. The input unit 13 is, for example, a mouse, keyboard, or touch panel, and the output unit 15 is, for example, a display device such as a liquid crystal display, which displays characters, figures, images, etc. The output unit 15 and the input unit 13 may be configured as a touch panel display.
[0031] Data Center 2 is a facility where a large number of servers are installed. The following databases are built on the servers installed in Data Center 2: work management unit database 21, safety and hazard management information database 22, inspection performance database 23, plant health database 24, system operation database 25, and laws and regulations database 26.
[0032] The maintenance support device 1 can communicate via the network NW with the data center 2's work management unit database 21, safety and hazard management information database 22, inspection performance database 23, plant health database 24, system operation database 25, and laws and regulations database 26 via the communication unit 14.
[0033] Inspection record database 23 stores past regular inspection records. The contents of the other databases are the same as in Figure 1, so we will omit the explanation here.
[0034] Next, the processes of the parallel work constraint calculation unit 112 and the process optimization unit 111 (see Figures 1 and 2), which optimize the process, will be explained with reference to Figures 3 and 4. First, Figure 3 will explain the state in which the parallel work constraint calculation unit 112 processes and the constraints are not met for tasks A and B, which are performed in parallel.
[0035] Task A consists of process A-1 to A-3, which are work management units. The fire load indicates the amount of combustible material generated in Area X during Task A in each period. The combustible material generated in Area X during Task A corresponds to the temporary change in the physical configuration caused by maintenance work at the nuclear power plant.
[0036] Task B consists of three work management units, processes B-1 to B-3. The fire load indicates the amount of combustible material generated in Area X during Task B at each stage. The combustible material generated in Area X during Task B corresponds to the temporary change in the physical configuration caused by maintenance work at the nuclear power plant.
[0037] The total fire load represents the total amount of combustible materials in area X. The allowable fire load represents the amount of combustible materials that can be allowed in area X. In Figure 3, in periods 4 and 5, the total fire load exceeds the allowable fire load, and the constraints are not met.
[0038] Therefore, in optimizing individual work management units (processes) in each periodic inspection, the process optimization unit 111 prioritizes the constraints of parallel work over the progress of the process. Figure 4 shows the state after the parallel work constraints have been eliminated.
[0039] In Figure 4, step A-2 of work A is modified so that it is not performed in periods 4 and 5. As a result, the total fire load will be below the allowable fire load in all periods from period 1 to period 15, and the constraints will be met.
[0040] Figure 5 is a flowchart of the maintenance support process. This flowchart uses the user-inputted planning period, the timing and duration of periodic inspections, and relative cost coefficients against constraints to create work management units between parallel operations, along with the safety and hazard management information, system operation information, and legal and regulatory information, to create a periodic inspection schedule that maintains the integrity of the nuclear power plant and to support the optimization of that schedule.
[0041] First, the user enters the planning period (step S10). The process optimization unit 111 extracts information on the work management units to be executed during the period from the work management unit database 21 (step S11). The process optimization unit 111 then extracts information corresponding to at least one of the following work management units from the safety and hazard management information database 22, the system operation database 25, and the laws and regulations database 26 (step S12).
[0042] The process optimization unit 111 classifies the constraints related to the information extracted in step S12 (step S13) and displays a list of these classifications of constraints (step S14). Next, the process optimization unit 111 receives user condition input at the input unit 13 (step S15). The user condition input information includes, for example, relative cost coefficients, the timing and duration of each periodic inspection, preferred optimization solution, desired level, etc.
[0043] The process optimization unit 111 executes process optimization processing based on this information (step S16), and then displays the optimization calculation result, such as the Pareto solution (step S17).
[0044] Next, in step S18, when the input unit 13 receives process adjustment input from the user, the process optimization unit 111 determines whether or not there is new adjustment input (step S19). If there is new adjustment input (Yes in S19), the process optimization unit 111 returns to step S16 and repeats the optimization based on the new adjustment input. If there is no new adjustment input (No in S19), the process optimization unit 111 terminates the process.
[0045] Figure 6 is a flowchart detailing the process optimization process in step S16 of Figure 5.
[0046] First, in step S71, the process optimization unit 111 processes the information assigned to the work management unit (WO) and the process creator. (User) Constraints entered by (Setting constraints) The most critical Work Orders (WOs) are selected as critical WOs. Based on constraints such as WO information and the sequence of operations, the equipment selects the longest series of WOs for each scheduled inspection. Then, in step S72, process optimization calculations are performed for the critical WO based on various constraints.
[0047] Next, in step S73, using the duration information of critical processes created by the optimization calculation as a constraint, it is determined whether a WO that was not selected as a critical WO in step S71 becomes a critical WO. If a critical WO is added (Yes in S73), the process is repeated from step S71. At this time, it is determined whether a WO that has a risk of becoming a critical WO due to an arbitrary time delay, etc., should be treated as a critical WO.
[0048] If there are no new critical workarounds (No. in S73), the process proceeds to step S74, where the Pareto solution and the points for the created process optimization calculation are calculated and displayed. An example of the display of the Pareto solution and the points for the created process is shown later in Figure 9.
[0049] Next, in step S75, it is determined whether the user has made any adjustments to the inspection period and cost coefficient based on the display results in step S74. If there are adjustments (Yes in S75), the process is restarted from step S72. If no adjustment is needed (No. S75), proceed to step S76 to determine the critical process.
[0050] Then, in step S77, the critical process is added as a constraint, and the optimization calculation of the non-critical WO is performed. Finally, in step S78, the feasibility of the overall process is confirmed by referring to the plant health database 24, and the overall process is determined.
[0051] The resource loading approach aims to optimize work costs during the scheduled maintenance period by adjusting the timing of Work Orders (WOs). Based on mobilization capacity during the scheduled maintenance period, necessary resource information such as personnel, capabilities, and equipment required for the work, cost information, and operating cycle information, the necessary resources will be appropriately allocated to work management units and work step units shown in the diagram, and an optimization plan for the overall mobilized resources during the scheduled maintenance period will be created. Further details will be described later.
[0052] If necessary, as shown in Figure 7, information such as training history for work qualifications and skills can be set as constraints for resource allocation for each work unit or work step. In addition, if there are legal or other constraints, constraints on the nature of deviations should be set.
[0053] Figure 8 is a table that patterns work management units. This table is used to formulate maintenance plans related to life cycle management. For physical equipment, the work management units for inspections are patterned according to volume, cost, resources, and required period. The process optimization unit 111 then creates patterns of work management units that constitute the equipment maintenance plan in the plant life cycle so as to satisfy the inspection implementation conditions (maintenance cycle of physical equipment) for physical equipment, and selects the optimal pattern.
[0054] Specifically, the table in Figure 8 shows that when 20 items are inspected, the cost is 25 million yen and the time taken is 3 days. When 30 items are inspected, the cost is 35 million yen and the time taken is 4 days. When 40 items are inspected, the cost is 45 million yen and the time taken is 5 days. When 60 items are inspected, the cost is 60 million yen and the time taken is 7 days. When 80 items are inspected, the cost is 75 million yen and the time taken is 9 days. When 100 items are inspected, the cost is 90 million yen and the time taken is 11 days.
[0055] Figure 9 shows screen 53 displaying the Pareto solution, which is the result of the process analysis. In multi-objective optimization problems that aim to improve multiple properties, if there are multiple optimization targets, there is not just one optimal solution. When there are two optimization targets, the solution is the optimal trade-off curve; when there are three or more targets, the solution is the trade-off surface. These multiple optimal solutions are called Pareto solutions.
[0056] Screen 53 displays the Pareto front 531, which is a curve obtained when the Pareto solution is plotted in the evaluation function space, and the creation process points 532. The optimization targets in the evaluation function space are cost and power generation shutdown period. Screen 53 allows for an intuitive confirmation of the variable regions of period and cost under the current constraints, and enables revision of the plan to become more economical in response to changes in electricity demand.
[0057] Figure 10 is a flowchart of the process progress management support process. Ideally, all work management units should proceed as planned during scheduled inspections, but sometimes they may finish earlier or later than planned. In such cases, it is necessary to quickly consider whether to start the work management units to be performed in subsequent processes and to develop a recovery plan. The maintenance support device 1 of the embodiment supports appropriate management of configuration management conditions and real-time process progress management by processing the process progress during the scheduled inspection using the flowchart in Figure 10 as input.
[0058] In step S30, when the input unit 13 receives input from the user regarding process progress and adjustments, the maintenance support device 1 uses the parallel work constraint calculation unit 112 to calculate the constraint conditions for parallel work (step S31) and displays the calculation result (step S32).
[0059] Then, in step S33, the maintenance support device 1 determines whether or not a process review is necessary. If a process review is not necessary (No in S33), the process ends. If a process review is necessary (Yes in S33), the device proceeds to step S34.
[0060] In step S34, determine whether or not a change in the work management unit is necessary. If a change in the work management unit is necessary (Yes in S34), enter the process change information (S35) and proceed to step S36. If a change in the work management unit is not necessary (No in S34), proceed to step S36.
[0061] In step S36, the process optimization unit 111 optimizes the process and terminates the process shown in Figure 10.
[0062] Figure 11 shows the output screen (screen 51) of the output unit 15 of the maintenance support device 1, which indicates the critical work management unit, constraints, and affected areas. Screen 51 displays a table consisting of a Critical Work Management Unit column, a Critical Constraint column, and an Affected Work Management Unit column. It shows which constraints make a series of work management units critical processes and which work management units are affected by them.
[0063] Figure 12 shows the output screen (screen 52) of the output unit 15 of the maintenance support device 1, indicating the subcritical work management units, constraints, and affected areas. Screen 52 displays a table consisting of a subcritical work management unit column, a critical constraint column, and an affected work management unit column. Screen 52 shows which constraints make a concurrently operating work management unit a critical process, and the work management units that are affected by it.
[0064] These screens 51 and 52 allow the user to identify constraints that are effective for process improvement.
[0065] Next, we will describe the maintenance support device 1, which assists in considering improvement items for further optimization of the process. Figure 13 shows the physical configuration of the maintenance support device 1 of this embodiment. It differs from the maintenance support device 1 of Figure 1 in that the processing unit 11 includes a process improvement support unit 113 that assists in considering improvement items for further process optimization based on the optimization calculation results.
[0066] Figure 14 is a flowchart of the process improvement item review support process in the process improvement support unit 113 (see Figure 13).
[0067] First, in step S50, the process improvement support unit 113 inputs the process selected by the user. Then, in step S51, the process improvement support unit 113 refers to the optimization calculation result storage unit 122 and analyzes the optimization calculation results related to the selected process. Next, the process improvement support unit 113 displays the trade-off relationships and rate of change due to constraints for the optimization items.
[0068] Based on the above, the process improvement support unit 113 picks out constraint items with a high rate of change that have a significant impact on the process through sensitivity analysis of the process optimization results as improvement items or risk information. Here, risk information refers to information about a process where a delay occurs and subsequent processes are significantly delayed.
[0069] Next, in step S53, the constraints are entered as simulation information in order to simulate the impact on the entire process when the constraints of the work are changed by inputting different constraint conditions.
[0070] In step S54, the process improvement support unit 113 uses trade-off information on constraints to analyze the impact on the process when the constraints of the work management unit are changed, and calculates the simulated process. For example, by extending the inspection cycle, it is possible to confirm effects such as a decrease in the frequency of work management unit implementation and a reduction in the number of days for regular inspections in the long term.
[0071] Finally, in step S55, the process improvement support unit 113 displays the simulation results and terminates the process.
[0072] As an example of creating a long-term process, we will explain the optimization of inspections of multiple components. Here, we consider the case where 180 Fine Motion Control Rod Drive (FMCRD) units are to be inspected every six years. In such a case, it is effective in optimization to patternize the work management units and select an appropriate number of control rod drive units for each scheduled inspection. The inspection condition is to inspect all 180 control rod drive units within six years, and the inspection timing is planned so that the second and subsequent inspections, i.e., the (n+1)th inspection and beyond, can also be carried out within six years. At this time, we assume that the inspections can be carried out under the conditions shown in Figure 8 (patterning of work management units).
[0073] Figure 15 is the output screen (screen 54) showing the optimized process in the processing unit 11. Here, the work management units, processes A-1 to A-3 and processes B-1 to B-3, are displayed. Processes B-1, B-2, and A-2, A-3 use specific resources, which is indicated by hatching.
[0074] Once process A-1 is completed, processes A-2 and A-3 can be started. However, since a specific resource is being used in process B-2 when process A-1 is completed, process A-2 cannot be started until process B-2 is completed. Therefore, it is possible to revise the process for process A-2 to one that does not use this specific resource.
[0075] Figure 16 is the output screen (screen 55) that displays the simulation results from the processing unit 11. Here, since process A-2 does not use specific resources, it can start when process A-1 is completed. Also, process A-3 can start when process B-2 is completed. If this improvement is implemented, the duration of processes A-1 to A3 can be shortened. Furthermore, processes B-1 to B-3 will also become critical processes.
[0076] Next, the function of the maintenance support device 1 of the embodiment, which supports the optimization of the period of regular inspections by using mobilizable resources as a constraint, will be described. The maintenance support device 1 manages mobilizable resources to optimize inspection costs and improve the feasibility of process implementation. Specifically, resource loading across power plants can ensure mobilization capacity during regular inspections and level out the resource load.
[0077] In the maintenance support device 1 of the embodiment, the planning period entered in step S10 of Figure 5 is determined by the work to be performed during the regular inspection and the time required to perform it, according to regulations, laws, and equipment maintenance cycles. However, in order to execute the plan within the determined period, it is also necessary to consider the resources that can be mobilized for the work.
[0078] Therefore, in scheduled inspections where it is determined that prior resource adjustment is necessary based on work management unit information, the process optimization unit 111 optimizes the timing of the scheduled inspection using mobilizable resources as a constraint. Furthermore, for resources with limited availability, the system identifies the available resources required for the work within a set period and ensures resource allocation and leveling of resource load against the plan (resource loading function).
[0079] To explain in more detail, we will use the resource load leveling shown in Figure 17 as an example to describe how to optimize the planning period by considering the resource utilization periods of other power plants operating at the same time as constraints. Specifically, Figure 17 shows a scenario where resource utilization plans for power plants A and B are already determined, and resource utilization plans for power plant C are being developed. The constraint is that only two sets of resources can be mobilized at the same time.
[0080] The process optimization unit 111 stores the resource utilization period (resource mobilization information) shown in Figure 17 as resource constraints and displays the period during which the target WO can be implemented at power plant C based on the resource constraints.
[0081] Furthermore, the process optimization unit 111 avoids periods with high resource utilization and displays periods with low risk of fluctuations in available resources. It also displays cost-advantageous periods if information indicates that mobilization costs fluctuate depending on the time of year. Furthermore, if there are multiple types of resources under consideration, the overlapping portion of the feasible period for each Work Order (WO) will be displayed.
[0082] If there are multiple plants (scheduled inspections) to be managed, the process optimization unit 111 sets the necessary resource conditions for each plant and displays the feasible period for the target Work Order as a constraint. At this time, if cost information is available, it performs optimization and displays the period that is cost-effective.
[0083] (modified version) The present invention is not limited to the embodiments described above, and includes various modifications. For example, the embodiments described above are described in detail to make the present invention easier to understand, and are not necessarily limited to those having all the configurations described. It is possible to replace parts of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add configurations from other embodiments to the configuration of one embodiment. Furthermore, it is possible to add, delete, or replace parts of the configuration of each embodiment with other configurations.
[0084] Each of the above configurations, functions, processing units, and processing means may be implemented in part or in whole by hardware, such as an integrated circuit. Each of the above configurations and functions may also be implemented in software by a processor interpreting and executing a program that implements each function. Information such as programs, tables, and files that implement each function can be stored in a recording device such as memory, a hard disk, or an SSD (Solid State Drive), or on a recording medium such as a flash memory card or a DVD (Digital Versatile Disk).
[0085] In each embodiment, the control lines and information lines shown are those deemed necessary for explanation and do not necessarily represent all control lines and information lines in the actual product. In practice, it can be assumed that almost all components are interconnected.
[0086] In the above embodiment, we described a case in which the maintenance support device 1 assists in the creation and implementation of a work plan that ensures the integrity of a nuclear power plant. However, it can be applied not only to nuclear power plants but also to nuclear plants such as fuel reprocessing facilities and decommissioning facilities. [Explanation of symbols]
[0087] 1 Maintenance support equipment 11 Processing Section 111 Process Optimization Department 112 Parallel Work Constraint Calculation Unit 113 Process Improvement Support Department 12 Storage section 121 Constraint storage section 122 Optimization Calculation Result Storage Unit 13 Input section 14 Communications Department 15 Output section 2 Data Centers 21. Work Management Unit Database (Database) 22 Safety and Hazard Management Information Database (Database) 23. Inspection Record Database 24. Plant Health Database 25 System Operation Database (Database) 26. Database of Laws and Regulations (Database) 31. User Input Information 32. Work progress management information 33 Optimization Work Plan Screens 51-55 61 Process Management System 62 Process Control Database
Claims
1. A maintenance support device that assists in the creation of maintenance plans for nuclear power plants and is communicatively connected to a data center database, The system includes a work management unit that constitutes the maintenance plan, and a process optimization unit that takes as input at least one of the following information: safety and hazard management information, system operation information, and laws and regulations information assigned to the work management unit, to create and optimize the process. The aforementioned process optimization unit, The work management units to be performed during the periodic inspection period are obtained from the database, and the information corresponding to the work management units is obtained from the database. Based on the aforementioned information and predetermined setting constraints entered by the user, a critical work management unit is selected from the work management units, and process optimization calculations are performed for the critical work management unit to create a critical process. Using the duration information of the aforementioned critical process as a constraint, it is determined whether or not a new critical work management unit will be generated. If a new critical work management unit arises, the process of performing process optimization calculations again for that new critical work management unit is repeated. A maintenance support device characterized by the following features.
2. The process optimization unit is: If no new critical work management unit arises, the critical process is determined. The critical process is added as a constraint, and the optimization calculation of the non-critical work management unit is performed to confirm the feasibility of the overall process. The maintenance support device according to feature 1.
3. The process optimization unit determines the critical process when no new critical work management unit arises, there is no adjustment to the periodic inspection period, and there is no adjustment to the cost related to the periodic inspection. The maintenance support device according to feature 2.
4. The aforementioned safety and hazard management information includes information on the isolation range of each system, isolation step information for each system, placement information for functional maintenance equipment based on the isolation information, hazard area information, hazard boundary configuration information for each functional maintenance equipment, permissible fire load information for fire zones, permissible floor area (volume) information for flood zones, fire load information for items brought in, floor occupancy area (volume) information for items brought in, and information on the collapse of hazard boundaries, as well as management information for the aforementioned functional information, information on hazard barriers and hazard boundaries to be maintained, or hazard barrier and hazard boundary management information. The maintenance support device according to feature 1.
5. The aforementioned safety and hazard management information includes information on temporary changes to the physical configuration of the equipment due to the execution of work, or configuration information or design requirement information of the equipment subject to temporary changes. The maintenance support device according to feature 1.
6. The process optimization unit optimizes the process using information including the duration, cost, and resources of the process related to the work management unit. The maintenance support device according to feature 1.
7. A process improvement support unit that provides support for considering improvement items for further optimization of the process based on the results of the process optimization calculation, The aforementioned process improvement support unit is: Sensitivity analysis of the process optimization results of the selected process identifies constraint items with high rates of change that have a significant impact on the process, and identifies them as improvement items or risk information. We use trade-off information on constraints to analyze the impact on the process when constraints on work management units are changed. The maintenance support device according to feature 1.
8. The process optimization unit shall equalize the resource load by using the resource utilization period of other nuclear power plants whose periodic inspections coincide with those of the nuclear power plant as a constraint. The maintenance support device according to feature 1.
9. Regarding the work management units that constitute the maintenance plan of a nuclear power plant, the information assignment step involves obtaining the work management units to be performed during the periodic inspection period from a data center database, obtaining at least one of the following information from the database: safety and hazard management information, system operation information, and legal and regulatory information corresponding to the work management unit, and assigning the said information to the work management unit. The process optimization step includes the process optimization step which optimizes the process using the work management unit and the information assigned to the work management unit as input, The aforementioned process optimization step includes: Based on the aforementioned information and predetermined setting constraints entered by the user, a critical work management unit is selected from the aforementioned work management units, and a process optimization calculation is performed for the said critical work management unit to create a critical process. The steps include determining whether a new critical work management unit will be generated, using the duration information of the critical process as a constraint, The process involves repeating the following steps: when a new critical work management unit arises, the process optimization calculation is performed again for that new critical work management unit; A conservation support method characterized by including the following.
10. On the computer, Regarding work management units that constitute the maintenance plan of a nuclear power plant, the procedure for assigning information involves obtaining the work management units to be performed during the periodic inspection period from a data center database, obtaining at least one of the following information from the database: safety and hazard management information, system operation information, and legal and regulatory information, and assigning the said information to the work management unit. A maintenance support program for executing a process optimization procedure that optimizes a process using the aforementioned work management unit and the information assigned to the aforementioned work management unit as input, The aforementioned process optimization procedure includes: A procedure for selecting a critical work management unit from the work management units based on the aforementioned information and predetermined setting constraints entered by the user, performing process optimization calculations for the critical work management unit, and creating a critical process; A procedure for determining whether a new critical work management unit will arise, using the duration information of the critical process as a constraint, The procedure involves repeating the process of performing process optimization calculations again for the new critical work unit when a new critical work unit arises, and A conservation support program characterized by including the following.