JP6461779B2 - Plan adjustment system and plan adjustment method - Google Patents

Description

  The present invention relates to a plan adjustment system.

  Patent Document 1 describes a technique of “specifying an optimal time for performing construction on a wind power generation facility”.

  Patent Document 2 describes a technique of “adjusting demand by changing execution times in order from jobs with a high possibility of changing execution times when the supply and demand situation of a predetermined resource is predicted to be tight”. ing.

  Patent Document 3 discloses a technique that “a management index can be calculated based on the latest results and plan information when necessary, and a management index to be calculated and a calculation logic to be used can be flexibly changed according to user needs”. Have been described.

  Patent Document 4 describes a technique for detecting an abnormality in equipment.

JP 2012-140905 A International Publication No. 2014/141435 JP 2005-011278 A JP 2013-218725 A

  For example, maintenance work costs for the maintenance of facilities that supply resources are affected by the maintenance work environment, maintenance work schedules, and schedules of maintenance workers. To do.

  In the maintenance of the generator, the amount of power generation may decrease during the maintenance period due to the stoppage of the generator. Therefore, there is a case where a power shortage occurs in a company that owns private power generation facilities. In addition, the power generation company may not be able to supply the retail company with the amount of power determined by the relative transaction. In such a case, the business operator procures a deficient amount of power, for example, by purchasing power from the market.

  In this case, even if the maintenance work cost is low, the final profit of the company may be low if the market price is soaring. On the other hand, even if the maintenance work cost is high, the final profit of the company may be high if the market price is low.

  As described above, there are plans related to the operation of maintenance equipment in the maintenance plan, and the optimum plan for the owner (for example, a manager) of the maintenance target equipment is not a maintenance plan alone but a plurality of plans. Need to plan.

  In addition, there are multiple candidates for plan adjustment, and the optimal plan adjustment differs depending on the performance evaluation index that the maintenance equipment owner emphasizes, such as profit and supply disruption risk.

  The technique of Patent Document 1 is for adjusting a maintenance plan alone, and is not for adjusting a plurality of plans including a plan related to operation of maintenance equipment.

  The technique of Patent Document 2 adjusts demand, and does not adjust a plurality of plans so that a specific performance evaluation index among the plurality of performance evaluation indices is optimized.

  The technique of Patent Document 3 does not adjust a plurality of plans.

  In order to solve the above problems, a plan adjustment system according to an aspect of the present invention includes a storage device and a processor connected to the storage device. The processor acquires plan group information including a plurality of pieces of plan information related to resources, the processor acquires adjustment range information indicating an adjustable range of each plan information, and the processor includes the plurality of plan information and Causal relationship information indicating a causal relationship between a plurality of performance evaluation indexes is acquired, and the processor acquires a constraint condition of a preset condition performance evaluation index among the plurality of performance evaluation indexes, the processor The plan group information is changed based on the constraint condition and the adjustment range information to create a plurality of plan group information candidates, and the processor generates a specific performance evaluation from the plurality of performance evaluation indexes. The index is selected, and the processor calculates the predicted value of the specific performance evaluation index from each plan group information candidate using the causal relationship information.

  The plurality of plans can be adjusted so that the value of a specific performance evaluation index among the plurality of performance evaluation indices is optimal.

1 shows a logical configuration of a maintenance plan adjustment apparatus 1 according to a first embodiment. The structure of the plan adjustment system in Example 1 is shown. The content stored in the memory | storage device 13 of the maintenance plan adjustment apparatus 1 in Example 1 is shown. The part regarding accounting is shown in the causal relationship diagram of the performance evaluation index in the first embodiment. The part regarding the electric energy is shown in the causal relationship diagram of the performance evaluation index in the first embodiment. The performance evaluation index causal relationship 133 in Example 1 is shown. The maintenance plan 134 in Example 1 is shown. The generator output plan 135 in Example 1 is shown. The electric power purchase plan 136 in Example 1 is shown. The electric power utilization business plan 137 in Example 1 is shown. The electric power sales plan 138 in Example 1 is shown. The 1st part of the optimal plan preparation process in Example 1 is shown. The 2nd part of the optimal plan preparation process in Example 1 is shown. The plan adjustment result screen is shown. The logic structure of the maintenance plan adjustment apparatus 1A in Example 2 is shown. The part regarding accounting is shown in the causal relationship diagram of the performance evaluation index in the second embodiment. The part regarding the amount of electric power is shown in the causal relationship figure of the performance evaluation index in Example 2. FIG. The performance evaluation index causal relationship 133A in Example 2 is shown. The 1st part of the optimal plan preparation process in Example 2 is shown. The 2nd part of the optimal plan preparation process in Example 2 is shown. The 3rd part of the optimal plan preparation process in Example 2 is shown. The logical structure of the maintenance plan adjustment apparatus 1B in Example 3 is shown. The structure of the plan adjustment system in Example 3 is shown. The content stored in the memory | storage device 13B of the maintenance plan adjustment apparatus 1B in Example 3 is shown. The maintenance log | history 139 in Example 3 is shown. The 1st part of the optimal plan preparation process in Example 3 is shown. The 2nd part of the optimal plan preparation process in Example 3 is shown. The logical structure of the maintenance plan adjustment apparatus 1C in Example 4 is shown. The structure of the plan adjustment system in Example 4 is shown. The content stored in the memory | storage device 13C of the maintenance plan adjustment apparatus 1C in Example 4 is shown. An operator profile 141 is shown. The performance evaluation index management process in Example 4 is shown. The logical structure of the maintenance plan adjustment apparatus 1D in Example 5 is shown. The content stored in the memory | storage device 13D of the maintenance plan adjustment apparatus 1D in Example 5 is shown. The performance evaluation index management process in Example 5 is shown. The structure of the plan adjustment system in Example 6 is shown. The structure of the plan adjustment system in Example 7 is shown.

  Embodiments of the present invention will be described below with reference to the drawings.

  Hereinafter, the structure of the plan adjustment system of Example 1 is demonstrated.

  The plan adjustment system adjusts plan group information including a plurality of pieces of plan information related to resources. A plurality of plans respectively indicated by a plurality of plan information is called a plan group. In this embodiment, one of the plurality of pieces of plan information indicates a maintenance plan for equipment related to resources. The owner of the equipment performs equipment maintenance according to the maintenance plan. In this embodiment, the resource is electric power and the facility is a generator. In addition, plan information other than the maintenance plan among the plurality of pieces of plan information indicates a related plan related to the maintenance plan. In this embodiment, the related plans of the maintenance plan are a power purchase plan, a generator output plan, a power utilization plan, and the like. According to the present embodiment, an optimal plan group including a maintenance plan and a related plan can be created. The optimum planning group is, for example, a system that realizes maximization of profit and minimization of power supply trouble time.

  FIG. 1 shows a logical configuration of a maintenance plan adjustment apparatus 1 according to the first embodiment.

  The maintenance plan adjustment apparatus 1 includes a performance evaluation index management unit 17, an optimal plan creation unit 18, and a performance evaluation index causal relationship 133.

  The maintenance plan adjustment device 1 adjusts the maintenance plan, the related plan of the maintenance plan, the adjustment allowable amount of each plan, the master information related to each plan, and the causal relationship of the performance evaluation index as inputs. The maintenance plan, the related plan, and the predicted value of the performance evaluation index at that time are output.

  The maintenance plan is an initial generator maintenance plan before adjustment by the maintenance plan adjustment device 1. The maintenance plan includes plan information such as equipment information of the target maintenance equipment (maintenance target), scheduled maintenance date / time information, and maintenance content information. Details will be described later. For example, the maintenance facility is a generator. A related plan is a plan related to the operation of maintenance equipment, such as a generator output plan, a business plan that uses power (for example, a production plan), a power purchase plan, and a power sales plan. is there. The related plan includes plan information such as plan execution date information and plan content information. Details will be described later. The plan adjustment allowable amount is an amount allowable when adjusting the plan, for example, an output changeable amount of the generator. Details will be described later. The master information related to the plan is, for example, a constant for converting the plan into a performance evaluation index or other plan information.

  For example, when the performance evaluation index is a power purchase cost, the plan information that is one factor of the performance evaluation index (influencing the performance evaluation index) is the power purchase plan amount, and the performance evaluation index The master information that is another factor is the power purchase cost per unit power (power market price forecast value, etc.), and the relational expression for calculating the performance evaluation index is the power purchase plan amount per unit power. It is a formula that multiplies the electricity purchase cost. Details will be described later.

  The performance evaluation index management unit 17 stores information such as a relational expression for calculating a performance evaluation index from factors or a number (hereinafter, device number) that uniquely identifies a device that manages the factors of the performance evaluation index. Is output to the performance evaluation index causal relationship 133. The factor of the performance evaluation index is information necessary for calculating the performance evaluation index, such as plan information, master information, and other performance evaluation indexes.

  The performance evaluation index causal relationship 133 is updated as appropriate according to the addition or abolition of equipment, the establishment or cancellation of a power sales contract, and the like. The causal relationship shown in the performance evaluation index causal relationship 133 may be referred to as a causal relationship model.

  The optimum plan creation unit 18 receives the maintenance plan, the related plan, the adjustment allowance of each plan, and the master information related to each plan, and inputs the performance evaluation index when the maintenance plan and the related plan are changed. This is a processing unit that calculates changes, performs optimization calculation using profit as an evaluation function under constraints such as power supply and demand balance, and determines an optimal plan. Details of the optimum plan creation process performed by the optimum plan creation unit 18 will be described later.

  The performance evaluation index causal relationship 133 is a database that manages information such as a relational expression for calculating the performance evaluation index or a device number of a device that manages the factor of the performance evaluation index. Details will be described later.

  FIG. 2 shows the configuration of the plan adjustment system in the first embodiment.

  The plan adjustment system of the present embodiment includes a maintenance plan adjustment device 1, a maintenance plan management device 2, a generator output plan management device 3, a power purchase plan management device 4, a power utilization work plan management device 5, and a power The sales plan management device 6 and the communication path 500 are included.

  The communication channel 500 includes a maintenance plan adjustment device 1, a maintenance plan management device 2, a generator output plan management device 3, a power purchase plan management device 4, a power utilization work plan management device 5, and a power sales plan management device. 6 and so on.

  The communication path 500 is a communication path such as wired communication or wireless communication.

  The maintenance plan adjustment device 1 includes a CPU (Central Processing Unit) 11, a memory 12, a storage device 13, an output device 14, an input device 15, and a communication interface 16. The communication interface 16 is an interface such as a wired LAN card or a wireless LAN card, for example, and includes a maintenance plan management device 2, a generator output plan management device 3, a power purchase plan management device 4, and a power utilization work plan management device 5. And the power sales plan management device 6 via the communication path 500.

  The storage device 13 is, for example, a hard disk or a flash memory, and stores information such as programs and data. Data stored in the storage device 13 will be described later.

  The input device 15 is, for example, a keyboard or a mouse, and can input a causal relationship of a performance evaluation index by being operated by a user. Details of the causal relationship of the performance evaluation index will be described later.

  The output device 14 is, for example, a display device or a display light, and displays information input by the input device 15 of the maintenance plan adjustment device 1, output information of each program, and data of each database. The output device 14 can present the adjusted plan and the predicted value of the performance evaluation index at that time to the user, for example, by displaying a plan adjustment result screen described later according to an instruction from the CPU 11.

  Next, the maintenance plan management device 2 manages information related to the maintenance plan, such as information on generators requiring maintenance, scheduled maintenance date and time, and details of maintenance.

  The maintenance plan management device 2 includes a CPU 21, a memory 22, a storage device 23, an output device 24, an input device 25, and a communication interface 26. The communication interface 26 is an interface such as a wired LAN card or a wireless LAN card, and communicates with the maintenance plan adjustment apparatus 1 via the communication path 500.

  The storage device 23 is, for example, a hard disk or a flash memory, and is a device that stores information such as programs and data.

  Next, the generator output plan management device 3 manages information related to the planned output amount of each generator at each date and time.

  The generator output plan management device 3 includes a CPU 31, a memory 32, a storage device 33, an output device 34, an input device 35, and a communication interface 36. The communication interface 36 is an interface such as a wired LAN card or a wireless LAN card, and communicates with the maintenance plan adjustment apparatus 1 via the communication path 500.

  The storage device 33 is, for example, a hard disk or a flash memory, and is a device that stores information such as programs and data.

  Next, the power purchase plan management device 4 manages information regarding the planned amount of power purchased from outside the power trading market, other companies, etc. at each date and time.

  The power purchase plan management device 4 includes a CPU 41, a memory 42, a storage device 43, an output device 44, an input device 45, and a communication interface 46. The communication interface 46 is an interface such as a wired LAN card or a wireless LAN card, and communicates with the maintenance plan adjustment device 1 via the communication path 500.

  The storage device 43 is, for example, a hard disk or a flash memory, and stores information such as programs and data.

  Next, the power usage work plan management apparatus 5 manages information related to the planned amount of work using power at each date and time. The planned amount of work using electric power is, for example, the planned production amount of a manufacturing factory.

  The power usage work plan management apparatus 5 includes a CPU 51, a memory 52, a storage device 53, an output device 54, an input device 55, and a communication interface 56. The communication interface 56 is an interface such as a wired LAN card or a wireless LAN card, and communicates with the maintenance plan adjustment apparatus 1 via the communication path 500.

  The storage device 53 is, for example, a hard disk or a flash memory, and stores information such as programs and data.

  Next, the power sales plan management device 6 manages information related to plans for selling power to the outside such as the power trading market and other companies at each date and time.

  The power sales plan management device 6 includes a CPU 61, a memory 62, a storage device 63, an output device 64, an input device 65, and a communication interface 66. The communication interface 66 is an interface such as a wired LAN card or a wireless LAN card, and communicates with the maintenance plan adjustment apparatus 1 via the communication path 500.

  The storage device 63 is, for example, a hard disk or a flash memory, and stores information such as programs and data.

  Hereinafter, the generator output plan management device 3, the power purchase plan management device 4, the power utilization work plan management device 5, and the power sales plan management device 6 may be collectively referred to as a related plan management device 7. is there.

  FIG. 3 shows the contents stored in the storage device 13 of the maintenance plan adjustment apparatus 1 according to the first embodiment.

  The storage device 13 stores at least a performance evaluation index management program 131 and an optimum plan creation program 132 as programs. The storage device 13 stores at least a performance evaluation index causal relationship 133, a maintenance plan 134, a generator output plan 135, a power purchase plan 136, a power usage work plan 137, and a power sales plan 138 as data. doing.

  The performance evaluation index management program 131 is read into the memory 12 and executed by the CPU 11 to implement the above-described performance evaluation index management unit 17.

  The optimum plan creation program 132 is read into the memory 12 and executed by the CPU 11 to realize the above-described optimum plan creation unit 18.

  Here, the causal relationship of the performance evaluation index will be described.

  FIG. 4 shows a portion related to accounting in the causal relationship diagram of the performance evaluation index in the first embodiment. FIG. 5 shows a portion related to the electric energy in the causal relationship diagram of the performance evaluation index in the first embodiment.

  These two diagrams are separated for convenience of explanation, but constitute one causal relationship diagram.

  Node number #n is assigned to uniquely identify each element.

  The user inputs the causal relationship from the input device 15 using the GUI displayed by the output device 14 of the maintenance plan adjusting device 1. The input information is managed in a database of performance evaluation index causality 133 described later.

  In the present embodiment, a tree-type causal relationship diagram as shown in these two figures is targeted, and a loop-type causal relationship diagram is excluded.

  The causal relationship diagram is represented by a combination of elements of a rhombus 81, a square 82, and a circle 83. Each element takes a time-series value.

  The rhombus 81 is plan information included in the maintenance plan or the related plan. The maintenance plan adjustment device 1 acquires plan information from the maintenance plan management device 2 and the related plan management device 7 via the communication path 500.

  A rectangle 82 is master information related to the plan of the rhombus 81, and is a constant for converting the plan information into a performance evaluation index or other plan information. The maintenance plan adjustment device 1 acquires master information from the maintenance plan management device 2 and the related plan management device 7 via the communication path 500.

  The circle 83 is a performance evaluation index, and is calculated from the rhombus 81, the rectangle 82, and the other circles 83 using relational expressions such as four arithmetic operations and conditional statements.

  The maintenance plan adjustment apparatus 1 can calculate a change in the predicted value of each performance evaluation index when the plan information is changed by holding a causal relation model including constants and relational expressions.

  FIG. 6 shows the performance evaluation index causal relationship 133 in the first embodiment.

  The performance evaluation index causal relationship 133 is a database that manages information such as a relational expression for calculating the performance evaluation index or a device number of a device that manages the factor of the performance evaluation index. The user inputs these pieces of information to the maintenance plan adjustment device 1 via the input device 15.

  The performance evaluation index causal relationship 133 includes a node number 133a, a name 133b, a relational expression 133c, a constraint condition 133d, and an adjustment possibility 133e as record fields.

  The node number 133a stores a number that uniquely identifies the performance evaluation index.

  The name 133b stores the name of the performance evaluation index.

  The relational expression 133c stores a relational expression for calculating a predicted value of the performance evaluation index from other information, or a device number of a device that manages factors of the performance evaluation index.

  The constraint condition 133d stores a constraint condition that the performance evaluation index needs to satisfy. The constraint conditions are, for example, “the power supply / demand balance is zero”, “the generator failure probability is 70% or less”, and the like. The constraint condition may be expressed by a conditional expression using one condition performance evaluation index set in advance from among a plurality of performance evaluation indexes, or a plurality of condition results set in advance from a plurality of performance evaluation indexes. It may be expressed by a conditional expression using an evaluation index.

  Information on whether or not the plan relating to the performance evaluation index corresponding to the node number 133a can be adjusted is stored in the adjustment availability 133e.

  When the maintenance plan adjustment device 1 acquires the performance evaluation index causal relationship 133, the predicted value of the performance evaluation index can be calculated from the plan group. In addition, the maintenance plan adjustment apparatus 1 can create a plan group candidate that satisfies the constraint conditions. For example, the maintenance plan adjustment device 1 can create a plan group candidate that satisfies the constraint condition of the power supply and demand balance.

  FIG. 7 shows the maintenance plan 134 in the first embodiment.

  The maintenance plan 134 is a database for managing maintenance plan information, range information for which maintenance date and time can be adjusted, and range information for which maintenance content can be adjusted. The maintenance plan adjustment device 1 receives these pieces of information from the maintenance plan management device 2 via the communication path 500 and stores them in the maintenance plan 134. The maintenance plan information includes maintenance facility information, scheduled maintenance date and time, and maintenance contents. The maintenance facility in this example is a generator.

  The maintenance plan 134 includes a generator number 134a, a date 134b, contents 134c, a date adjustment allowable amount 134d, and a content adjustment allowable amount 134e as record fields.

  The generator number 134a stores a number that uniquely identifies a generator that requires maintenance.

  The date and time 134b stores the date and time when the generator is scheduled to be maintained.

  The content 134c stores the content of the maintenance scheduled to be performed on the date and time 134b for the generator. The content 134c includes information on a maintenance period for implementing this content.

  The date / time adjustment allowable amount 134d stores a range of a schedule that is allowable when the date / time 134b is adjusted.

  The content adjustment allowable amount 134e stores content that can be tolerated when adjusting the content 134c.

  FIG. 8 shows the generator output plan 135 in the first embodiment.

  The generator output plan 135 is a database that manages the output plan information of each generator at each date and time and the adjustable generator output plan amount information. The maintenance plan adjustment device 1 receives these pieces of information from the generator output plan management device 3 via the communication path 500 and stores them in the generator output plan 135.

  The generator output plan 135 includes a date and time 135a, a generator number 135b, a generator output planned amount 135c, and an allowable adjustment amount 135d as record fields.

  The date and time is stored in the date and time 135a.

  The generator number 135b stores a number that uniquely identifies the generator.

  The planned output of the generator 135c stores the planned output of the generator at the date and time 135a.

  The adjustment allowable amount 135d stores the amount of power that the generator can increase or decrease from the planned generator output amount 135c at the date and time 135a.

  FIG. 9 shows a power purchase plan 136 in the first embodiment.

  The power purchase plan 136 is a database that manages, for each date and time, power purchase plan information indicating a plan for purchasing power from the outside such as a power trading market or other companies, and adjustable power purchase plan amount information. The maintenance plan adjustment device 1 receives these pieces of information from the power purchase plan management device 4 via the communication path 500 and stores them in the power purchase plan 136.

  The power purchase plan 136 includes a date and time 136a, a purchase destination 136b, a power purchase plan amount 136c, and an adjustment allowable amount 136d as record fields.

  The date / time 136a stores the date / time.

  Stored in the purchaser 136b is a number that uniquely identifies the purchaser of power.

  The planned power purchase amount 136c stores a planned amount for purchasing power from the purchase destination at the date 136a.

  The adjustment allowable amount 136d stores the amount of power that can be increased or decreased from the planned power purchase amount 136c for the amount of power purchased from the purchaser at the date and time 136a.

  FIG. 10 shows a power usage work plan 137 in the first embodiment.

  The power use work plan 137 is a database that manages power demand plan amount information indicating a work plan that uses power at each date and time, and adjustable power demand plan amount information. The maintenance plan adjustment apparatus 1 receives these pieces of information from the power usage work plan management apparatus 5 via the communication path 500 and stores them in the power usage work plan 137.

  The power use work plan 137 includes date and time 137a, a use work 137b, a power use work plan 137c, a power demand plan amount 137d, and an allowable adjustment amount 137e as record fields.

  The date and time 137a stores the date and time.

  In the usage task 137b, information on a task that uses power is stored. For example, factory production.

  The power usage work plan 137c stores the planned amount of the work at the date and time 137a. For example, the amount of production planned in the factory.

  The power demand plan amount 137d stores a plan amount of power demand required by the work indicated by the power use work plan 137c.

  The adjustment allowable amount 137e stores the amount of power that can be increased or decreased from the planned power demand amount 137d at the date and time 137a.

  FIG. 11 shows a power sales plan 138 in the first embodiment.

  The electric power sales plan 138 is a database for managing electric power sales plan information indicating a plan for selling electric power to the outside such as an electric power trading market and other companies and adjustable electric power sales plan amount information at each date and time. The maintenance plan adjustment device 1 receives these pieces of information from the power sales plan management device 6 via the communication path 500 and stores them in the power sales plan 138.

  The power sales plan 138 includes date and time 138a, a sales destination 138b, a power sales plan amount 138c, and an adjustment allowable amount 138d as record fields.

  The date and time is stored in the date and time 138a.

  The sales destination 138b stores a number that uniquely identifies the power sales destination.

  The planned sales amount 138c stores the planned amount for selling power to the sales destination at the date and time 138a.

  The adjustment allowable amount 138d stores the amount of power that can be increased or decreased from the planned power sales amount 138c for the amount of power sold to the seller at the date and time 138a. “NULL” in the example of this figure indicates that the planned power sales cannot be changed due to restrictions on contracts or the like. This corresponds to the adjustment possibility 133e of the electric power sales planned amount (AAA) # 23 in the example of the performance evaluation index causal relation 133 described above being “impossible”.

  The maintenance plan adjustment device 1 can adjust a maintenance plan and a group of plans including the related plan by acquiring the maintenance plan 134 of the facility using the resource and the related plan related to the operation of the facility. Moreover, since the adjustable plan information includes the adjustment allowable amount, the maintenance plan adjustment device 1 can appropriately adjust the plan information. The adjustment allowable amount may be adjustment range information indicating an adjustable range of the plan information. A combination of a plurality of types of plans may be referred to as a plan group.

  Hereinafter, the operation of the maintenance plan adjusting apparatus 1 will be described.

  FIG. 12 shows a first part of the optimum plan creation process in the first embodiment. FIG. 13 shows a second part of the optimum plan creation process in the first embodiment.

  This process calculates the change in the predicted value of the performance evaluation index when the maintenance plan and the related plan are changed, and optimizes the profit etc. as an evaluation function under constraints such as the power supply-demand balance. Determine the optimal plan. The optimum plan creation unit 18 is realized by the CPU 11 executing the optimum plan creation program 132.

  In step S <b> 1800, the optimum plan creation unit 18 obtains maintenance plan information, adjustment allowance for the plan, and master information related to the plan from the maintenance plan management apparatus 2. Start the creation process. The optimum plan creation unit 18 stores the acquired maintenance plan information and adjustment allowance in the database of the maintenance plan 134 described above.

  In step S <b> 1801, the optimum plan creation unit 18 acquires the device number of the device that manages the factor of the performance evaluation index from the performance evaluation index causal relationship 133.

  In step S1802, the optimum plan creation unit 18 selects the plan information managed by the device from the device corresponding to the device number acquired in step S1801 from the related plan management device 7 via the communication path 500, and the device. And master information managed by. The optimum plan creation unit 18 stores the acquired plan information in a corresponding database among the generator output plan 135, the power purchase plan 136, the power utilization work plan 137, and the power sales plan 138.

  In step S1803, the optimum plan creation unit 18 adjusts the maintenance plan based on the maintenance plan information acquired in step S1800 and the adjustment allowable amount, and creates the adjusted maintenance plan as a maintenance plan candidate. Specifically, the optimum plan creation unit 18 creates a maintenance plan with the content 134c fixed and the date 134b changed within the range of the date adjustment allowable amount 134d as a maintenance plan candidate. For example, the optimum plan creation unit 18 changes the date 134b in a preset step within the range of the date adjustment allowable amount 134d, and sets each changed maintenance plan as a maintenance plan candidate. Further, the optimum plan creation unit 18 changes the content 134c within the range of the content adjustment allowable amount 134e, and creates a combination in which the date is changed within the range of the date adjustment allowable amount 134d as a maintenance plan candidate. For example, the optimum plan creation unit 18 changes the content 134c in a preset step within the range of the content adjustment allowable amount 134e, and sets each changed maintenance plan as a maintenance plan candidate.

  For example, when the maintenance plan information and the adjustment allowable amount acquired in step S1800 are the records shown in the above-mentioned maintenance plan 134 diagram, (generator number, maintenance date and maintenance content) are (A, 2014), respectively. / 10/1 to 2014/10/15, full maintenance), (A, 2014/10/2 to 2014/10/16, full maintenance), (A, 2014/10/3 to 2014/10/17, full Maintenance), (A, 2014/10/1 to 2014/10/10, parts A replacement), (A, 2014/10/2 to 2014/10/11, parts A replacement), (A, 2014/10 / 3-2014 / 10/12, part A replacement), (A, 2014/10 / 4-2014 / 10/13, part A replacement), (A, 2014/10 / 5-2014 / 10/14, part A replacement), (A, 2014/10/6 to 2014/10/15, part A replacement), (A, 2014/10/7 to 2014/10/16, part A replacement), (A, 2014/10 / 8 to 2014/10/17, part A replacement) is created.

  In step S1804, the optimum plan creation unit 18 pays attention to one of the plurality of maintenance plan candidates created in step S1803 as the target maintenance plan candidate, and the output plan of the target generator when the target maintenance plan candidate is executed. A generator output plan candidate is created by changing the quantity. Specifically, the optimum plan creation unit 18 records in the generator output plan 135 acquired in step S1801 that the generator number 135b is the number of the generator to be maintained and the date and time 135a is in the maintenance period. And the planned generator output amount 135c of the record is changed to “0 kWh”. Here, the generator output to be maintained during the maintenance period is 0 kWh, but may be another value such as half of the initial generator output plan.

  For example, when the target maintenance plan candidate (generator number, maintenance date and maintenance content) is (A, 2014/10/1 to 2014/10/15, full maintenance), the date and time of the generator output plan candidate ( “(Generator number, Generator output planned amount)” is “(2014/10/1, ((A, 0 kWh), (B, 2 million kWh))), (2014/10/2, ((A, 0 kWh), (B, 2.2 million kWh))),.

  In step S <b> 1805, the optimum plan creation unit 18 uses the predicted values of all the performance evaluation indexes when the target maintenance plan candidate and the generator output plan candidate obtained in step S <b> 1804 are implemented, as the performance evaluation index causal relationship 133. Calculate using the relational expression. Specifically, the optimum plan creation unit 18 acquires the master information related to the maintenance plan acquired in step S1800, the related plan information and master information acquired in step S1802, the target maintenance plan candidate obtained in step S1804, and From the generator output plan candidates, the predicted values of all the performance evaluation indexes are calculated using the relational expression of the performance evaluation indexes acquired from the performance evaluation index causal relationship 133.

  In step S1806, if there is a value that does not satisfy the constraint condition among the predicted values of all the performance evaluation indexes calculated in step S1805, the optimal plan creating unit 18 sets the predicted values of all the performance evaluation indexes in step S1807. If the constraint condition is satisfied, the process moves to step S1811. For example, if the target maintenance plan candidate (generator number, maintenance date, maintenance content) is (A, 2014/10/1 to 2014/10/15, full maintenance) in step S1804, “date and time , “Power supply plan amount, power demand plan amount, power supply / demand balance” are “(2014/10/1, 3 million kWh, 4 million kWh, −1 million kWh)”, (2014/10/2, 3.2 million kWh, 400 .. ”), So that the constraint condition of“ power supply / demand balance ”is not satisfied, the optimum plan creation unit 18 moves the process to step S1807.

  In step S1807, the optimum plan creation unit 18 sets the plan information for the plan information that can be used for calculation of the performance evaluation index that does not satisfy the constraint condition obtained in step S1806 and can be adjusted. Get the device number of the device to be managed. However, the optimum plan creation unit 18 excludes the plan information changed in step S1804 from the adjustment target.

  For example, when the performance evaluation index “power supply / demand balance” in the above-described example of the causal relationship diagram does not satisfy the constraint condition, the optimum plan creation unit 18 uses “generator output plan” as the plan information that is a factor of the performance evaluation index. "Amount (A)", "Generator output plan amount (B)", "Power purchase plan amount (AA)", "Production power demand plan amount", "Production plan amount", "Power sales plan amount (AAA)" Is extracted. Thereafter, the optimum plan creation unit 18 includes “generator output plan (B)”, “planning information” that is indicated as adjustable in the adjustment possibility 133e of the performance evaluation index causal relationship 133 among the extracted plan information. "Power purchase plan (AA)", "Production power demand plan", and "Production plan" are selected. Here, the optimum plan creation unit 18 changes the generator output plan amount in step S1804, and therefore excludes “generator output plan (A)” from the adjustment target.

  In step S1808, the optimum plan creation unit 18 acquires the plan adjustment allowable amount from the apparatus corresponding to the apparatus number acquired in step S1807 among the related plan management apparatus 7. The optimum plan creation unit 18 stores the acquired adjustment allowance in a corresponding database among the generator output plan 135, the power purchase plan 136, the power utilization work plan 137, and the power sales plan 138.

  In step S1809, the optimum plan creation unit 18 creates a related plan candidate by changing the related plan within the allowable adjustment amount acquired in step S1808 for the purpose of satisfying the constraint condition.

  For example, the optimal plan creation unit 18 increases the output plan amount of another generator in order to compensate for the decrease in the output plan amount of the generator to be maintained during the maintenance plan candidate period, thereby related plan candidates. Create Thereby, the optimal plan preparation part 18 can change a related plan so that the constraint conditions of an electric power supply-demand balance may be satisfy | filled.

  In addition, for example, the optimum plan creation unit 18 increases the planned amount for purchasing power from the market or other companies in order to compensate for the decrease in the planned output amount of the generator to be maintained during the maintenance period. Create a plan candidate. Thereby, the optimal plan preparation part 18 can change a related plan so that the constraint conditions of an electric power supply-demand balance may be satisfy | filled.

  Further, for example, the optimum plan creation unit 18 changes the related plan that uses power so as to reduce the use of power with respect to the decrease in the output plan amount of the generator to be maintained during the maintenance period. Then, create a related plan candidate. Thereby, the optimal plan preparation part 18 can change a related plan so that the constraint conditions of an electric power supply-demand balance may be satisfy | filled.

  In addition, for example, the optimal plan creation unit 18 reduces the planned amount for selling power to the market or other companies against the decrease in the output planned amount of the generator to be maintained during the maintenance period. Create a plan candidate. Thereby, the optimal plan preparation part 18 can change a related plan so that the constraint conditions of an electric power supply-demand balance may be satisfy | filled.

  In step S1810, the optimum plan creation unit 18 determines the plan group for the plan group candidate including the target maintenance plan candidate and the generator output plan candidate obtained in step S1804 and the related plan candidate obtained in step S1809. When the candidates are implemented, the predicted values of all the performance evaluation indexes are calculated using the relational expression of the performance evaluation index causal relationship 133, and the predicted values of all the performance evaluation indexes are selected from the plurality of plan group candidates. A plan group candidate that satisfies the constraint condition is selected. Specifically, the optimal plan creation unit 18 acquires the maintenance plan acquired in step S1800 and the related master information, the related plan acquired in step S1802 and the related master information, and the maintenance plan obtained in step S1804. For the plan group candidate including the candidate and the generator output plan candidate and the related plan candidate obtained in step S1809, using the relational expression acquired from the performance evaluation index causal relationship 133, Calculate the predicted value of the performance indicator. Then, the optimum plan creation unit 18 extracts plan group candidates that satisfy the constraint conditions from the obtained plurality of plan group candidates. Thereby, the optimal plan creation part 18 can create the plan group candidate which satisfy | fills a constraint condition.

  In step S1811, the optimum plan creation unit 18 moves to step S1812 when the processes of steps S1804 to S1810 have been performed for all the maintenance plan candidates created in step S1803, and there are maintenance plan candidates that have not been implemented. In this case, the process moves to step S1804, and the processing of steps S1804 to S1810 is performed on the maintenance plan candidate.

  In step S1812, the optimal plan creation unit 18 uses the predicted value of the performance evaluation index calculated in step S1810 and the evaluation function to select an optimal plan group candidate from the plan group candidates extracted in steps up to step S1811. Determine as the optimal plan group. For example, the optimum plan creation unit 18 selects the performance evaluation index “profit” as an evaluation function based on the input from the user, and determines a plan group candidate that maximizes the evaluation function. The evaluation function may be a specific performance evaluation index selected by the user from among a plurality of performance evaluation indexes, or may be a function using at least one specific performance evaluation index.

  In step S1813, the optimum plan creation unit 18 transmits the maintenance plan from the optimum plan group determined in step S1812 to the maintenance plan management apparatus 2 and the related plan to the corresponding relation plan management apparatus 7 to obtain the optimum plan creation process. Exit.

  FIG. 14 shows a plan adjustment result screen.

  The plan adjustment result screen includes a table 610 that shows maintenance plan candidates and predicted values of various performance evaluation indexes, a causal relationship diagram 620 of performance evaluation indexes, and a time series value 630 that is a time series predicted value of the performance evaluation indexes. Including.

  The optimum plan creation unit 18 may cause the output device 14 to display the optimum plan group determined in step S1812 described above as a plan adjustment result screen.

  The optimum plan creation unit 18 may display a plan adjustment result screen on the output device 14 based on a plurality of plan group candidates extracted in the optimum plan creation process. In this case, the user confirms the predicted value of the performance evaluation index for the adjusted maintenance plan and related plan using the plan adjustment result screen, and uses the input device 15 to select the optimum plan group from a plurality of plan group candidates. May be selected.

  The optimum plan creation unit 18 creates a causal relationship diagram 620 based on the performance evaluation index causal relationship 133. As a result, the user can follow, for example, the performance evaluation index and the plan information that cause the predicted value of the performance evaluation index to deteriorate by following the causal relationship of the performance evaluation index. The causal relationship diagram 620 here shows a portion related to accounting.

  When the input device 15 is operated by the user in accordance with the display of the plan adjustment result screen by the output device 14, one performance evaluation index (round shape) in the causal relationship diagram 620 is selected. The creation unit 18 displays the field of the selected performance evaluation index in the table 610. Further, the optimum plan creation unit 18 sorts the records in the table 610 using the field. Accordingly, the user can receive and compare an optimum maintenance plan with each performance evaluation index from the viewpoint of a plurality of performance evaluation indices.

  In addition, when one maintenance plan candidate record in the table is selected by operating the input device 15 by the user, the optimum plan creation unit 18 performs the maintenance plan candidate of the selected record. The time series value 630 indicating the time change of the selected performance evaluation index is displayed. The period of the time series value 630 may be a period indicated in the selected record.

  According to this plan adjustment result screen, the user of the maintenance plan adjustment apparatus 1 can select one performance evaluation index from among a plurality of performance evaluation indexes as an evaluation function. Thereby, the maintenance plan adjustment apparatus 1 can select a plan group candidate that optimizes the performance evaluation index selected by the user. By displaying the predicted value of the selected performance evaluation index for each plan group candidate, the user can select the optimum plan group.

  In the present embodiment, the maintenance plan adjustment apparatus 1 holds the entire causal relationship model including the master information (rectangle 82 in the causal relationship diagram) related to each plan regarding the causal relationship of the performance evaluation index. And the maintenance plan adjustment apparatus 1 calculates the predicted value of the performance evaluation index based on the plan itself from the adjusted plan. For example, the maintenance plan adjustment device 1 adjusts the power purchase plan amount of the power purchase plan 136 and calculates the predicted value of the power purchase cost, which is a performance evaluation index based on the power purchase plan amount, by itself. Thereby, the maintenance plan adjustment apparatus 1 can determine an optimal plan group based on a specific performance evaluation index.

  In the present embodiment, detailed causal relationship models related to each plan, such as master information related to each plan, are held in the corresponding plan management device (maintenance plan management device 2A, related plan management device 7A). The maintenance plan adjustment device 1A has only a causal relationship model between performance evaluation indexes obtained from each plan. That is, in this embodiment, the causal relationship model of the performance evaluation index is held in a distributed manner by the maintenance plan adjustment device 1A, the maintenance plan management device 2A, and the related plan management device 7A.

  In this embodiment, the maintenance plan management device 2A and the related plan management device 7A, together with the plan information, for the performance evaluation index based on the plan information, master information that is a factor of the performance evaluation index (rectangle 82 in the causal relationship diagram) Is held.

  In this embodiment, the maintenance plan adjustment apparatus 1A has only a causal relationship model between performance evaluation indexes obtained from each plan.

  The maintenance plan adjustment device 1A of the present embodiment transmits the adjusted plan to the maintenance plan management device 2A and the related plan management device 7A, and the predicted value of the performance evaluation index based on the plan is related to the maintenance plan management device 2A. Obtained from the plan management device 7A. For example, the maintenance plan adjustment device 1A adjusts the power purchase plan amount and transmits the value to the power purchase plan management device 4A. The power purchase plan management device 4A calculates a predicted value of the power purchase cost, which is a performance evaluation index based on the power purchase plan amount, from the received power purchase plan amount, and transmits it to the maintenance plan adjustment device 1A.

  FIG. 15 illustrates a logical configuration of the maintenance plan adjustment apparatus 1A according to the second embodiment.

  The maintenance plan adjustment device 1A includes a performance evaluation index management unit 17, an optimum plan creation unit 18A, and a performance evaluation index causal relationship 133A. The maintenance plan adjustment device 1A receives the maintenance plan, the related plan, the adjustment allowance of each plan, and the causal relationship of the performance evaluation index as input, and the adjusted maintenance plan and related plan, and the performance evaluation index at that time The predicted value of is output.

  The optimum plan creation unit 18A receives the maintenance plan, the related plan, and the adjustment allowance of each plan as inputs, calculates the change in the predicted value of the performance evaluation index when the maintenance plan and the related plan are changed, This is a processing unit that performs optimization calculation using profit as an evaluation function under constraints such as power supply and demand balance, and determines an optimal plan.

  Details of the optimum plan creation process performed by the optimum plan creation unit 18A will be described later.

  The performance evaluation index causal relationship 133A includes a relational expression for calculating the performance evaluation index, a device number of a device that manages plan information that is a factor of the performance evaluation index, and a relationship between the plan and the performance evaluation index based on the plan. It is a database that manages information such as. Details will be described later.

  The performance evaluation index management unit 17 is the same as that in the first embodiment.

  FIG. 16 shows a portion related to accounting in the causal relationship diagram of the performance evaluation index in the second embodiment. FIG. 17 shows a portion related to the electric energy in the causal relationship diagram of the performance evaluation index in the second embodiment.

  The performance evaluation index can be classified into elements of a diamond 81, a circle 83, and a trapezoid 84. The causal relationship diagram is represented by a combination of these elements. The description of the rhombus 81 and the round shape 83 is the same as the causal relationship diagram of the first embodiment.

  The trapezoid 84 is a performance evaluation index based on the plan information (diamond 81) of the maintenance plan and the related plan, and is, for example, a power purchase cost with respect to a power purchase plan amount. The maintenance plan adjustment device 1 acquires information on the trapezoid 84 from the maintenance plan management device 2 and the related plan management device 7 via the communication path 500.

  FIG. 18 shows the performance evaluation index causal relationship 133A in the second embodiment.

  The performance evaluation index causal relationship 133A includes a relational expression for calculating the performance evaluation index, a device number of a device that manages plan information that is a factor of the performance evaluation index, and a relationship between the plan and the performance evaluation index based on the plan. It is a database that manages information such as. The information is input by the user to the maintenance plan adjustment device 1A via the input device 15A and stored in the performance evaluation index causal relationship 133A.

  The performance evaluation index causal relationship 133A includes, as record fields, a node number 133Aa, a name 133Ab, a relational expression 133Ac, a constraint condition 133Ad, and an adjustability 133Ae.

  The relational expression 133Ac includes a relational expression for calculating a predicted value of a performance evaluation index corresponding to the node number 133Aa, a device number of a device that provides the predicted value, or a node of a plan that is affected by the performance evaluation index A number is stored. In the example of this figure, the “power purchase cost” of the node number “# 10” is associated with the “power purchase planned amount” of the node number “# 21”, and the “power purchase cost” is “ It shows that it is influenced by “planned power purchase”.

  The node number 133Aa, the name 133Ab, the constraint condition 133Ad, and the adjustability 133Ae are the same as in the first embodiment.

  FIG. 19 shows a first part of the optimum plan creation process in the second embodiment. FIG. 20 shows a second part of the optimum plan creation process in the second embodiment. FIG. 21 shows a third part of the optimum plan creation process in the second embodiment.

  In step S1800A of the optimum plan creation process in the second embodiment, the optimum plan creation unit 18A obtains the maintenance plan information and the adjustment allowance for the plan from the maintenance plan management apparatus 2A. Start the creation process. The optimum plan creation unit 18A stores the acquired maintenance plan information and adjustment allowance in the database of the maintenance plan 134.

  The process of step S1801 of the optimum plan creation process in the second embodiment is the same as the step with the same reference sign in the first embodiment.

  In step S1802A of the optimum plan creation process in the second embodiment, the optimum plan creation unit 18A starts from the device corresponding to the device number acquired in step S1801 among the related plan management device 7A via the communication path 500. Obtains plan information managed by, and a predicted value of a performance evaluation index based on the plan. The optimum plan creation unit 18A stores the acquired plan information in each database.

  The processes in steps S1803 to S1804 of the optimum plan creation process in the second embodiment are the same as the steps with the same reference numerals in the first embodiment.

  In step S1805Aa of the optimum plan creation process in the second embodiment, the optimum plan creation unit 18A uses the maintenance facility generator output plan amount 135c, which is the plan information adjusted in step S1804, as the maintenance facility generator output plan management device 3A. To obtain the predicted value of the performance evaluation index based on the plan information. Here, the generator output plan management device 3A receives the plan information from the maintenance plan adjustment device 1A, calculates a predicted value of a performance evaluation index using the plan information as a factor, and sends the predicted value to the maintenance plan adjustment device 1A. Send.

  In step S1805Ab of the optimum plan creation process in the second embodiment, the optimum plan creation unit 18A transmits the plan information of the target maintenance plan candidate focused on in step S1804 to the maintenance plan management apparatus 2A, and the performance evaluation index based on the plan information. Get the predicted value of. Here, the maintenance plan management device 2A receives the plan information from the maintenance plan adjustment device 1A, calculates a predicted value of a performance evaluation index using the plan information as a factor, and transmits the predicted value to the maintenance plan adjustment device 1A. .

  In step S1805Ac of the optimum plan creation process in the second embodiment, the optimum plan creation unit 18A obtains predicted values of all performance evaluation indexes when the maintenance plan candidate and the generator output plan candidate obtained in step S1804 are implemented. The performance evaluation index causal relationship 133 is used for calculation.

  Specifically, based on the related plan acquired in step S1802A and the predicted value of the performance evaluation index, the maintenance plan candidate and generator output plan candidate obtained in step S1804, and the generator output plan acquired in step S1805Aa. All performance evaluations are performed using the relationship between the predicted value of the performance evaluation index, the predicted value of the performance evaluation index based on the maintenance plan acquired in step S1805Ab, and the performance evaluation index acquired from the performance evaluation index causal relationship 133. Calculate the predicted value of the indicator.

  The processes in steps S1806 to S1809 of the optimum plan creation process in the second embodiment are the same as the steps with the same reference numerals in the first embodiment.

  In step S1810Aa of the optimum plan creation process in the second embodiment, the optimum plan creation unit 18A transmits the plan information of the related plan candidate obtained in step S1809 to the corresponding related plan management device 7A, and based on the plan information. The predicted value of the performance evaluation index is acquired from the related plan management device 7A. Here, the related plan management device 7A receives the plan information from the maintenance plan adjustment device 1A, calculates the predicted value of the performance evaluation index using the plan information as a factor, and transmits the predicted value to the maintenance plan adjustment device 1A. .

  In step S1810Ab of the optimum plan creation process in the second embodiment, the optimum plan creation unit 18A includes the maintenance plan candidate and the generator output plan candidate obtained in step S1804, and the related plan candidate obtained in step S1809. When the plan group candidates are executed, the predicted values of all the performance evaluation indexes are calculated using the relational expression of the performance evaluation index causal relationship 133, and the predicted values of all the performance evaluation indexes satisfy the constraint conditions To extract.

  Specifically, the optimal plan creation unit 18A acquires the related plan information acquired in step S1802, the predicted value of the performance evaluation index, the maintenance plan candidate and the generator output plan candidate obtained in step S1804, and acquired in step S1805Aa. The predicted value of the performance evaluation index based on the generated generator output plan, the predicted value of the performance evaluation index based on the maintenance plan acquired in step S1805Ab, the related plan candidate acquired in step S1809, and the related plan acquired in step S1810Aa The predicted values of all performance evaluation indexes are calculated using the relational expressions acquired from the performance evaluation index causal relationship 133 based on the predicted values of the performance evaluation indexes based on.

  The processes in steps S1811 to S1813 of the optimum plan creation process in the second embodiment are the same as the steps with the same reference numerals in the first embodiment.

  According to the present embodiment, even when a plurality of devices that respectively manage a plurality of plans store the causal relationships of performance evaluation indexes in a distributed manner, the maintenance plan adjustment device 1A receives information from each device. And the optimal plan group can be determined. For example, even when the maintenance plan management device 2A and each related plan management device 7A are held by different operators and store different plans and causal models related to the plans, The optimal plan group including the plan can be determined.

  The maintenance plans in the first and second embodiments mainly indicate maintenance after failure of the maintenance facility and periodic maintenance.

  On the other hand, in the third embodiment, an abnormality sign detection technique or the like is utilized to detect a sign before a maintenance facility failure occurs and perform maintenance. When the maintenance plan adjusting apparatus 1B according to the present embodiment detects an abnormality in the generator, the maintenance plan adjustment apparatus 1B refers to maintenance information (detection date, maintenance date, maintenance content, etc.) performed when an equivalent abnormality has occurred in the past. Adjust maintenance plans and related plans based on the information.

  FIG. 22 illustrates a logical configuration of the maintenance plan adjustment apparatus 1B according to the third embodiment.

  The maintenance plan adjustment apparatus 1B includes a performance evaluation index management unit 17, an optimum plan creation unit 18B, an abnormality detection unit 19, a performance evaluation index causal relationship 133, and a maintenance history 139.

  The maintenance plan adjustment device 1B receives the sensor data, the related plans, the adjustment allowance of each plan, the master information related to the plans, and the causal relationship of the performance evaluation index as inputs, and the related relation adjusted by the maintenance plans. The plan and the predicted value of the performance evaluation index at that time are output.

  The sensor data is an electrical quantity such as voltage and current measured by a sensor attached to the generator.

  The abnormality detection unit 19 is a processing unit that detects an abnormality of the generator from the sensor data.

  The maintenance history 139 is a database that manages history information (contents, period, etc.) of maintenance performed when an abnormality is detected in the past. Details will be described later.

  The optimum plan creation unit 18B receives the generator number in which the abnormality, which is the output of the abnormality detection unit 19, the detected abnormality mode, the related plan, and the plan adjustment allowable amount as inputs, and the maintenance plan The change of the predicted value of the performance evaluation index when the plan is changed is calculated, and the profit and the like are optimized and calculated as an evaluation function under the constraint conditions such as the power supply-demand balance, and the optimal plan is determined.

  The optimum plan creation process performed by the optimum plan creation unit 18B will be described in detail with reference to FIGS.

  The performance evaluation index management unit 17 and the performance evaluation index causal relationship 133 are the same as in the first embodiment.

  FIG. 23 shows the configuration of the plan adjustment system in the third embodiment.

  The plan adjustment system of the present embodiment includes a maintenance plan adjustment device 1B, a maintenance plan management device 2B, a generator output plan management device 3, a power purchase plan management device 4, a power utilization work plan management device 5, and a power The sales plan management device 6, the power generation device 1000, and the communication path 500 are included.

  The communication channel 500 includes a maintenance plan adjustment device 1B, a maintenance plan management device 2B, a generator output plan management device 3, a power purchase plan management device 4, a power utilization work plan management device 5, and a power sales plan management device. 6 and the power generation apparatus 1000 are connected.

  The maintenance plan management device 2B manages master information related to the maintenance plan (such as “maintenance costs at each period” in the causal relationship diagram of the performance evaluation index in the first embodiment).

  The power generation device 1000 is a device that generates power, such as a power generator, and includes a sensor for measuring various electric quantities of the device.

  The power generation apparatus 1000 includes a CPU 1001, a memory 1002, a storage device 1003, an output device 1004, an input device 1005, and a communication interface 1006.

  The communication interface 1006 is an interface such as a wired LAN card or a wireless LAN card, and transmits sensor information to the maintenance plan adjustment apparatus 1 via the communication path 500.

  The storage device 1003 is, for example, a hard disk or a flash memory, and stores information such as programs and data.

  FIG. 24 shows the contents stored in the storage device 13B of the maintenance plan adjustment device 1B in the third embodiment.

  The storage device 13B stores at least a performance evaluation index management program 131, an optimum plan creation program 132, and an abnormality detection program 140 as programs. The storage device 13 stores at least a performance evaluation index causal relationship 133, a generator output plan 135, a power purchase plan 136, a power usage work plan 137, a power sales plan 138, and a maintenance history 139 as data. doing.

  The abnormality detection program program 131 is read into the memory 12 and executed by the CPU 11, thereby realizing the performance evaluation index management unit 17.

  The optimum plan creation program 132 is implemented by being read into the memory 12 and executed by the CPU 11, thereby realizing the optimum plan creation unit 18.

  The abnormality detection program 140 embodies the abnormality detection unit 19 by being read into the memory 12 and executed by the CPU 11. As the abnormality detection program, for example, the technique described in Patent Document 4 is used.

  FIG. 25 shows the maintenance history 139 in the third embodiment.

  The maintenance history 139 is a database for managing information (contents, period, etc.) of maintenance performed when an abnormality is detected in the past.

  The maintenance history 139 includes a generator number 139a, an abnormality detection mode 139b, a detection date 139c, a maintenance date 139d, and maintenance content 139e as record fields.

  The generator number 139a stores a number that uniquely identifies the generator.

  The abnormality detection mode 139b stores a number that uniquely identifies the type of abnormality detected.

  The detection date and time 139c stores the date and time when the abnormality in the abnormality detection mode 139b occurred for the generator.

  The maintenance date and time 139d stores the date and time when maintenance was performed for the abnormality detected at the detection date and time 139c.

  The maintenance content 139e stores the content of maintenance performed on the generator at the maintenance date 139d.

  FIG. 26 shows a first part of the optimum plan creation process in the third embodiment. FIG. 27 shows a second part of the optimum plan creation process in the third embodiment.

  In step S1800Ba of the optimum plan creation process in the third embodiment, the optimum plan creation unit 18B is optimal when receiving the generator number where the abnormality has occurred and the detected abnormality mode from the abnormality detection unit 19. Start the planning process.

  In step S1800Bb of the optimum plan creation process in the third embodiment, the optimum plan creation unit 18B performs in the past when the detected mode abnormality has occurred in the generator of the generator number acquired in step S1800Ba from the maintenance history 139. Acquire maintenance information.

  For example, when (generator number, abnormality detection mode) received in step S1800Ba is (100, aaa), the optimum plan creation unit 18B records records 13901, 13902, 13903 corresponding to the received information from the maintenance history 139. get. When a plurality of records corresponding to the received information is detected, the optimum plan creation unit 18B selects and acquires the record having the longest period from the detection date 139c to the maintenance date 139d.

  In step S1800Bc of the optimum plan creation process in the third embodiment, the optimum plan creation unit 18B acquires master information related to the maintenance plan from the maintenance plan management apparatus 2B.

  The processes in steps S1801 to S1802 of the optimum plan creation process in the third embodiment are the same as the steps having the same reference numerals in the first embodiment.

  In step S1803B of the optimum plan creation process in the third embodiment, the optimum plan creation unit 18B creates maintenance plan candidates by adjusting the maintenance plan using the information of the maintenance performed in the past acquired in step S1800Bb. To do. Specifically, the optimum plan creation unit 18B creates a maintenance plan candidate according to the following steps.

  First, as step S1, the optimum plan creation unit 18B obtains the difference between the detection date 139c (detection time) and the start date (start time) of the maintenance date 139d for each record acquired in step S1800Bb. The difference is a period from when an abnormality is detected to when maintenance work is started, and means a maintenance date / time adjustment allowable period.

  For example, in the case of the record 13901 of the maintenance history 139, since the detection date 139c is “1999/11/1” and the start date of the maintenance date 139d is “1999/12/1”, the allowable adjustment period is “one month”. It becomes. In other words, when the generator number 139a is “100” and the abnormality detection mode 139b is “aaa”, the optimum plan creation unit 18B detects “abnormality” from the past maintenance history 139 within “one month”. It can be calculated that the “full maintenance” work needs to be performed.

  For a record calculated in step S1, when there are a plurality of records having the same generator number 139a, abnormality detection mode 139b, and maintenance content 139e, that is, when there is a work history of the same maintenance several times, an optimal plan is created The unit 18B selects a record corresponding to the largest difference from the plurality of records, that is, a record corresponding to the longest allowable adjustment period.

  Next, as step S2, the optimum plan creation unit 18B creates a maintenance plan with the date and time changed as a maintenance plan candidate during the adjustment allowable period calculated in step S1 from the date and time when the abnormality was detected.

  For example, if the date / time when an abnormality is detected is “2015/10/1”, which is the same as the record 13901 of the maintenance history 139, the allowable date / time adjustment time is “1 month” and the maintenance content 139e is “full maintenance” from step S1. Then, since the maintenance period is 15 days, (maintenance date and time, contents of maintenance) are (2015/10/1 to 2015/10/15, full maintenance) and (2015/10/2 to 2015/10/16, respectively). , Full maintenance)... (2015/11/1 to 2015/11/15, full maintenance), maintenance plan candidates are created.

  The processes in steps S1804 to S1813 of the optimum plan creation process in the third embodiment are the same as the steps with the same reference numerals in the first embodiment.

  According to the present embodiment, the maintenance plan adjustment device 1B can adjust a plan group including a maintenance plan in response to detection of an abnormality in the facility. Further, the maintenance plan adjustment apparatus 1B can calculate an appropriate adjustment allowable amount for the maintenance period based on the past maintenance history information.

  In each of the above embodiments, the performance evaluation index causal relationship 133 is created by input from the user, but may be created based on the causal relationship of existing performance evaluation indexes.

  FIG. 28 illustrates a logical configuration of the maintenance plan adjustment apparatus 1C according to the fourth embodiment.

  The maintenance plan adjustment apparatus 1C creates the company's own performance evaluation index causal relationship by utilizing the causal relationship of the existing performance evaluation index. The maintenance plan adjustment device 1C includes a performance evaluation index management unit 17C, an optimum plan creation unit 18, a performance evaluation index causal relationship 133, and a company profile 141.

  The performance evaluation index management unit 17C selects a company having the same business profile, business size, etc. as the company based on the company profile 141 of the maintenance plan adjustment device 1C of another company, and sets the performance evaluation index causal relationship 133 of the company. Acquired and partially changed for in-house use, and then output to the company's own performance evaluation index causal relation 133. Details will be described later.

  The optimum plan creation unit 18 and the performance evaluation index causal relationship 133 are the same as in the first embodiment.

  The company profile 141 is a database that manages the profile (for example, business type, sales scale, etc.) of a company owned by the maintenance plan adjustment apparatus 1C.

  FIG. 29 shows the configuration of the plan adjustment system in the fourth embodiment.

  The plan adjustment system of the present embodiment includes a plurality of maintenance plan adjustment devices 1C, a maintenance plan management device 2, a generator output plan management device 3, a power purchase plan management device 4, and a power utilization work plan management device 5. The power sales plan management device 6 and the communication path 500 are included.

  FIG. 30 shows the contents stored in the storage device 13C of the maintenance plan adjustment device 1C according to the fourth embodiment.

  The storage device 13C stores at least a performance evaluation index management program 131C and an optimum plan creation program 132 as programs. The storage device 13C includes, as data, at least a performance evaluation index causal relationship 133, a maintenance plan 134, a generator output plan 135, a power purchase plan 136, a power usage work plan 137, a power sales plan 138, and a business operator. The profile 141 is stored.

  The performance evaluation index management program 131C is read into the memory 12 and executed by the CPU 11, thereby realizing the performance evaluation index management unit 17C.

  The optimum plan creation program 132 is implemented by being read into the memory 12 and executed by the CPU 11, thereby realizing the optimum plan creation unit 18.

  FIG. 31 shows an operator profile 141.

  The company profile 141 is a database that manages profile information of a company that owns the device. This profile information is input to the maintenance plan adjustment device 1C by the user via the input device 15 and stored in the operator profile 141. The company profile 141 includes, as record fields, an industry type 141a, a sales scale 141b, and a related plan management device 141c.

  The business type 141a stores the business type of the operator.

  The sales scale 141b stores the sales scale of the operator.

  The related plan management device 141c stores the related plan management device 7 owned by the operator.

  FIG. 32 shows performance evaluation index management processing in the fourth embodiment.

  The performance evaluation index management unit 17C executes a performance evaluation index management process for creating the company's performance evaluation index causal relationship by utilizing the causal relationship of the existing performance evaluation index. The performance evaluation index management unit 17C is realized by the CPU 11 executing the performance evaluation index management program 131C.

  In step S1700C, the performance evaluation index management unit 17C retrieves the contents of the other company profile 141, and acquires the causal relationship model of the performance evaluation index causality 133 from the same company as the company profile. , Start performance evaluation index management processing.

  Specifically, the performance evaluation index management unit 17C searches the business profile 141 of each company for a business with the same type of business 141a, sales scale 141b, and related plan management device 141c, and evaluates the performance from the business. Records relating to the node number 133a, the name 133b, the relational expression 133c, and the constraint condition 133d of the index causal relation 133 are acquired. The performance evaluation index management unit 17C acquires only the relational expression for calculating the performance evaluation index from the information stored in the relational expression 133c, and the device number of the device that manages the factors of the performance evaluation index is as follows. Not acquired because the devices managed by other companies are different.

  In step S1701C, the performance evaluation index management unit 17C adds the device number of the device that manages the plan information and master information that are factors of the performance evaluation index to the causal relationship model of the performance evaluation index acquired in step S1700C. Specifically, the performance evaluation index management unit 17C adds the device number of the device that manages the factors of the performance evaluation index to the relational expression 133c acquired in step S1700C.

  In step S1702C, the performance evaluation index management unit 17C writes the information created in step S1701C in the performance evaluation index causal relationship 133, and ends the performance evaluation index management process.

  In step S1701C, the performance evaluation index management unit 17C adds the related device number to the causal relationship model of the performance evaluation index acquired in step S1700C, but presents the acquired causal relationship model to the user, and May be customized.

  According to the present embodiment, the maintenance plan adjusting apparatus 1C creates the user's causal relationship model based on the causal relationship model of the business operator similar to the user, thereby reducing the input work amount of the causal relationship model by the user. Can be reduced.

  In each of the above embodiments, the performance evaluation index causal relationship 133 is created by input from the user, but is updated based on the actual value of the performance evaluation index when the adjusted plan is executed. May be.

  FIG. 33 illustrates a logical configuration of the maintenance plan adjustment apparatus 1D according to the fifth embodiment.

  The maintenance plan adjustment device 1D receives the adjusted plan, the predicted value of the performance evaluation index calculated from the plan, and the actual value of the performance evaluation index calculated from the result of executing the plan as inputs. The index causal relationship 133 is updated. The maintenance plan adjustment device 1D includes a performance evaluation index management unit 17D, an optimum plan creation unit 18, and a performance evaluation index causal relationship 133.

  The performance evaluation index management unit 17D is based on the plan created by the optimal plan creation unit 18, the predicted value of the performance evaluation index at the time of the plan, and the actual value of the performance evaluation index when the plan is executed. This is a processing unit that updates master information and relational expressions in the performance evaluation index causal relationship 133 and overwrites the performance evaluation index causal relationship 133. By updating, the causal relationship model of the performance evaluation index can be made closer to reality. Details will be described later.

  The optimum plan creation unit 18 and the performance evaluation index causal relationship 133 are the same as in the first embodiment.

  FIG. 34 shows the contents stored in the storage device 13D of the maintenance plan adjustment device 1D in the fifth embodiment.

  The storage device 13D stores at least a performance evaluation index management program 131D and an optimum plan creation program 132 as programs. The storage device 13D has at least a performance evaluation index causal relationship 133, a maintenance plan 134, a generator output plan 135, a power purchase plan 136, a power usage work plan 137, a power sales plan 138, and plan adjustment as data. The result 142 is stored.

  The performance evaluation index management program 131D is read into the memory 12 and executed by the CPU 11, thereby realizing the performance evaluation index management unit 17C.

  The optimum plan creation program 132 is implemented by being read into the memory 12 and executed by the CPU 11, thereby realizing the optimum plan creation unit 18.

  The plan adjustment result 142 is a database that manages the adjusted plan group candidate created by the optimum plan creation unit 18 and the predicted value of the performance evaluation index calculated therefrom. In addition, the plan adjustment result 142 may manage the optimal plan group and the predicted value of the performance evaluation index calculated therefrom.

  FIG. 35 shows performance evaluation index management processing in the fifth embodiment.

  The performance evaluation index management unit 17D executes a performance evaluation index management process for updating the performance evaluation index causal relationship using the actual value of the performance evaluation index when the adjusted plan is executed. The performance evaluation index management unit 17D is realized by the CPU 11 executing the performance evaluation index management program 131D.

  In step S1700D, the performance evaluation index management unit 17D acquires the plan adjusted from the maintenance plan management device 2 and the related plan management device 7, and the actual value of the performance evaluation index when the plan is executed. The performance evaluation index management process is started.

  In step S1701D, the performance evaluation index management unit 17D acquires the predicted value of each performance evaluation index when adjusting the plan acquired in step S1700D from the plan adjustment result 142.

  In step S1702D, the performance evaluation index management unit 17D, for each performance evaluation index, the actual value of the performance evaluation index at the time of planning acquired in step S1700D and the predicted value of the performance evaluation index at the time of planning acquired in step S1701D. And the difference between the actual value and the predicted value is calculated.

  In step S1703D, the performance evaluation index management unit 17D moves the process to step S1704D when the magnitude of the difference exceeds a preset difference threshold as a result of the calculation in step S1702D, and the magnitude of the difference is equal to or smaller than the difference threshold. If so, the performance evaluation index management process is terminated.

  In step S1704D, the performance evaluation index management unit 17D calculates the change amount of the master information corresponding to the difference for the master information that is the factor of the performance evaluation index in which the difference calculated in step S1702D has occurred. Are transmitted to the maintenance plan management apparatus or related plan management apparatus 7 that manages the master information, and the performance evaluation index management process is terminated.

  In step S1704D, the performance evaluation index management unit 17D has updated the master information, but may update the coefficient of the relational expression for calculating the performance evaluation index.

  According to the present embodiment, the maintenance plan adjustment device 1D changes the master information, the causal relationship model, and the like based on the difference between the predicted value of the specific performance evaluation index and the actual value of the specific performance evaluation index. The accuracy of the predicted value of the specific performance evaluation index can be improved.

  In each of the above-described embodiments, the maintenance plan adjustment apparatus operates as a stand-alone, but the maintenance plan adjustment apparatus may be connected to a user terminal and input / output may be performed using the user terminal.

  FIG. 36 shows the configuration of the plan adjustment system in the sixth embodiment.

  The plan adjustment system of the present embodiment includes a user terminal 9 in addition to the elements of the plan adjustment system of the first embodiment. The maintenance plan adjustment device 1 and the user terminal 9 are connected by a communication path 500. The user terminal 9 includes a CPU 91, a memory 92, an output device 94, an input device 95, and a communication interface 96. Thereby, the user can transmit information from the communication interface 96 of the user terminal 9 to the communication interface 16 of the maintenance plan adjustment apparatus 1 via the communication path 500. Or conversely, the information generated by the maintenance plan adjustment apparatus 1 can be used by the user via the communication path 500.

  In each embodiment, one maintenance plan management apparatus 2 is used, but a plurality of maintenance plan management apparatuses may be used.

  FIG. 37 shows the configuration of the plan adjustment system in the seventh embodiment.

  Compared with the plan adjustment system of the first embodiment, the plan adjustment system of the present embodiment includes a plurality of maintenance plan management devices 2E instead of the maintenance plan management device 2. According to this configuration, the maintenance plan adjustment device 1 can receive a maintenance plan estimate from the maintenance plan management device 2E of a plurality of companies, and can request work from a company that has presented an optimal maintenance plan for the company.

  In each of the above-described embodiments, the related plan management device 7 includes the generator output plan management device 3, the power purchase plan management device 4, the power utilization work plan management device 5, and the power sales plan management device 6. However, not all devices need to be prepared as components. The related plan management device 7 is not limited to the above four types of devices, and may be any other device as long as it is a device that manages related plans.

  Moreover, in each Example, although the generator was mentioned as an example as a maintenance facility, a heat source machine, a cogeneration apparatus, a water purifier, etc. may be sufficient. For example, in the case of a heat source machine, the supply and demand balance between the heat demand amount and the planned amount is one of the constraint conditions, and the maintenance plan adjustment device determines an optimal maintenance plan and related plan that satisfy the constraint conditions.

  Terms for the expression of the present invention will be described. The storage device may be the memory 12 or the storage device 13. The processor may be the CPU 11. The causal relationship information may be a causal relationship model, a performance evaluation index causal relationship 133, or a performance evaluation index causal relationship 133 and master information. The plan adjustment system may be the maintenance plan adjustment device 1 or the maintenance plan adjustment device 1, the maintenance plan management device 2, and the related plan management device 7. The management device may be the maintenance plan management device 2 or the related plan management device 7.

  As mentioned above, although embodiment of this invention was described, this is an illustration for description of this invention, Comprising: It is not the meaning which limits the scope of the present invention to the said structure. The present invention can be implemented in various other forms.

  1, 1A, 1B, 1C, 1D: Maintenance plan adjustment device, 2, 2A, 2B, 2E: Maintenance plan management device, 3, 3A: Generator output plan management device, 4, 4A: Power purchase plan management device, 5 : Power usage work plan management device, 6: Power sales plan management device, 7, 7A: Related plan management device, 9: User terminal, 17, 17C, 17D: Performance evaluation index management unit, 18, 18A, 18B: Optimal plan Creation unit, 19: Abnormality detection unit, 1000: Power generation device

Claims (15)

A storage device;
A processor connected to the storage device;
With
The processor acquires plan group information including a plurality of plan information related to resources,
The processor acquires adjustment range information indicating an adjustable range of each plan information,
The processor acquires causal relationship information indicating a causal relationship between the plurality of plan information and a plurality of performance evaluation indexes,
The processor acquires a constraint condition of a preset condition performance evaluation index among the plurality of performance evaluation indices,
The processor creates a plurality of plan group information candidates by changing the plan group information based on the constraint condition and the adjustment range information,
The processor selects a specific performance evaluation index from the plurality of performance evaluation indices,
The processor calculates a predicted value of a specific performance evaluation index from each plan group information candidate using the causal relationship information,
The processor calculates a predicted value of the conditional performance evaluation index of each plan group information candidate,
The processor determines whether or not the predicted value of the conditional performance evaluation index of each plan group information candidate satisfies the constraint condition,
The processor is plan information included in a plan group information candidate determined that a predicted value of the conditional performance evaluation index does not satisfy the constraint condition, and the plan information that affects the conditional performance evaluation index Change based on the adjustment range information,
The first plan information in the plurality of plan information indicates a maintenance plan of the facility related to the resource, indicates the maintenance period,
Second plan information in the plurality of plan information indicates a plan related to operation of the equipment,
The processor obtains sensor data from sensors in the facility;
The processor determines whether the facility is abnormal based on the sensor data,
When it is determined that the equipment is abnormal, the processor acquires maintenance history information of the equipment, and the history information includes a detection time of a past abnormality of the equipment and a past maintenance time of the equipment. Including the start time,
The processor calculates adjustment range information of a maintenance period of the facility by subtracting the detection time from the start time based on the history information.
Plan adjustment system. The resource is power;
The facility is a first generator,
The condition performance evaluation index is a power supply-demand balance.
The plan adjustment system according to claim 1. The second plan information includes an output plan amount of the second generator,
The processor changes the second plan information by increasing an output plan amount of the second generator during the maintenance period based on a reduction amount of the output of the first generator due to the maintenance. ,
The plan adjustment system according to claim 2. The second plan information includes a power purchase plan amount,
The processor changes the second plan information by increasing the purchase plan amount during the maintenance period based on a decrease amount of the output of the first generator due to the maintenance.
The plan adjustment system according to claim 2. The second plan information includes a power usage plan amount,
The processor changes the second plan information by reducing the use plan amount during the maintenance period based on a reduction amount of the output of the first generator by the maintenance.
The plan adjustment system according to claim 2. The second plan information includes a sales plan amount of power,
The processor changes the second plan information by reducing the sales plan amount during the maintenance period based on a reduction amount of the output of the first generator by the maintenance.
The plan adjustment system according to claim 2. The processor causes the display device to display the plurality of performance evaluation indexes,
The processor selects the specific performance evaluation index based on an input from a user,
The processor causes the display device to display a predicted value of a specific performance evaluation index of each plan group information candidate.
The plan adjustment system according to claim 1. The processor calculates a predicted value of each of a plurality of performance evaluation indexes for each plan group information candidate based on the causal relationship information.
The plan adjustment system according to claim 1. A storage device;
A processor connected to the storage device;
With
The processor acquires plan group information including a plurality of plan information related to resources,
The processor acquires adjustment range information indicating an adjustable range of each plan information,
The processor acquires causal relationship information indicating a causal relationship between the plurality of plan information and a plurality of performance evaluation indexes,
The processor acquires a constraint condition of a preset condition performance evaluation index among the plurality of performance evaluation indices,
The processor creates a plurality of plan group information candidates by changing the plan group information based on the constraint condition and the adjustment range information,
The processor selects a specific performance evaluation index from the plurality of performance evaluation indices,
The processor calculates a predicted value of a specific performance evaluation index from each plan group information candidate using the causal relationship information,
The processor calculates a predicted value of the conditional performance evaluation index of each plan group information candidate,
The processor determines whether or not the predicted value of the conditional performance evaluation index of each plan group information candidate satisfies the constraint condition,
The processor is plan information included in a plan group information candidate determined that a predicted value of the conditional performance evaluation index does not satisfy the constraint condition, and the plan information that affects the conditional performance evaluation index Change based on the adjustment range information,
The first plan information in the plurality of plan information indicates a maintenance plan of the facility related to the resource, indicates the maintenance period,
Second plan information in the plurality of plan information indicates a plan related to operation of the equipment,
It said processor acquires the profile information of the first operator to possess planning adjustment system, and profile information of the second operator,
The processor determines whether the profile information of the second operator is similar to the profile information of the first operator;
If it is determined that the profile information of the second operator is similar to the profile information of the first operator, the processor acquires the causal relationship information of the second operator,
The processor adjusts the causal relationship information of the first operator based on the causal relationship information of the second operator. A storage device;
A processor connected to the storage device;
With
The processor acquires plan group information including a plurality of plan information related to resources,
The processor acquires adjustment range information indicating an adjustable range of each plan information,
The processor acquires causal relationship information indicating a causal relationship between the plurality of plan information and a plurality of performance evaluation indexes,
The processor acquires a constraint condition of a preset condition performance evaluation index among the plurality of performance evaluation indices,
The processor creates a plurality of plan group information candidates by changing the plan group information based on the constraint condition and the adjustment range information,
The processor selects a specific performance evaluation index from the plurality of performance evaluation indices,
The processor calculates a predicted value of a specific performance evaluation index from each plan group information candidate using the causal relationship information,
The processor selects one of the plurality of plan group information candidates as selected plan group information based on a predicted value of the specific performance evaluation index of each plan group information candidate,
After the plan group based on the selected plan group information is executed, the processor acquires the actual value of each performance evaluation index by the execution,
The processor calculates a difference between the predicted value and the actual value for each performance evaluation index,
The processor changes the causal relationship information based on the difference.
Plan adjustment system. A storage device;
A processor connected to the storage device;
With
The processor acquires plan group information including a plurality of plan information related to resources,
The processor acquires adjustment range information indicating an adjustable range of each plan information,
The processor acquires causal relationship information indicating a causal relationship between the plurality of plan information and a plurality of performance evaluation indexes,
The processor acquires a constraint condition of a preset condition performance evaluation index among the plurality of performance evaluation indices,
The processor creates a plurality of plan group information candidates by changing the plan group information based on the constraint condition and the adjustment range information,
The processor selects a specific performance evaluation index from the plurality of performance evaluation indices,
The processor calculates a predicted value of a specific performance evaluation index from each plan group information candidate using the causal relationship information,
The processor acquires first plan information in the plurality of plan information,
The processor creates a first plan information candidate by changing the first plan information under the constraint condition and the adjustment range information of the first plan information,
The processor calculates a predicted value of a performance evaluation index affected by the first plan information candidate among the plurality of performance evaluation indices based on the causal relationship information,
The processor acquires second plan information from a management device that manages second plan information in the plurality of plan information,
The processor creates a second plan information candidate by changing the second plan information under the constraint condition and the adjustment range information of the second plan information,
The processor transmits the second plan information candidate to the management device;
The processor receives, from the management device, a predicted value of a performance evaluation index affected by the second plan information candidate among the plurality of performance evaluation indices.
Plan adjustment system. The processor acquires plan group information including a plurality of plan information related to resources,
The processor acquires adjustment range information indicating an adjustable range of each plan information,
The processor acquires causal relationship information indicating a causal relationship between the plurality of plan information and a plurality of performance evaluation indexes,
The processor acquires a constraint condition of a preset condition performance evaluation index among the plurality of performance evaluation indices,
The processor creates a plurality of plan group information candidates by changing the plan group information based on the constraint condition and the adjustment range information,
The processor selects a specific performance evaluation index from the plurality of performance evaluation indices;
The processor calculates a predicted value of a specific performance evaluation index from each plan group information candidate using the causal relationship information,
The processor calculates a predicted value of the conditional performance evaluation index of each plan group information candidate,
The processor determines whether or not the predicted value of the conditional performance evaluation index of each plan group information candidate satisfies the constraint condition,
The processor is plan information included in a plan group information candidate determined that the predicted value of the conditional performance evaluation index does not satisfy the constraint condition, and the plan information that affects the conditional performance evaluation index, Change based on the adjustment range information,
The first plan information in the plurality of plan information indicates a maintenance plan of the facility related to the resource, indicates the maintenance period,
Second plan information in the plurality of plan information indicates a plan related to operation of the equipment,
The processor obtains sensor data from sensors in the facility;
The processor determines whether the equipment is abnormal based on the sensor data;
When it is determined that the equipment is abnormal, the processor acquires maintenance history information of the equipment, and the history information includes a detection time of a past abnormality of the equipment and a past maintenance time of the equipment. Including the start time,
The processor calculates adjustment range information of a maintenance period of the facility by subtracting the detection time from the start time based on the history information.
Plan adjustment method including that. The processor acquires plan group information including a plurality of plan information related to resources,
The processor acquires adjustment range information indicating an adjustable range of each plan information,
The processor acquires causal relationship information indicating a causal relationship between the plurality of plan information and a plurality of performance evaluation indexes,
The processor acquires a constraint condition of a preset condition performance evaluation index among the plurality of performance evaluation indices,
The processor creates a plurality of plan group information candidates by changing the plan group information based on the constraint condition and the adjustment range information,
The processor selects a specific performance evaluation index from the plurality of performance evaluation indices;
The processor calculates a predicted value of a specific performance evaluation index from each plan group information candidate using the causal relationship information,
The processor calculates a predicted value of the conditional performance evaluation index of each plan group information candidate,
The processor determines whether or not the predicted value of the conditional performance evaluation index of each plan group information candidate satisfies the constraint condition,
The processor is plan information included in a plan group information candidate determined that the predicted value of the conditional performance evaluation index does not satisfy the constraint condition, and the plan information that affects the conditional performance evaluation index, Change based on the adjustment range information,
The first plan information in the plurality of plan information indicates a maintenance plan of the facility related to the resource, indicates the maintenance period,
Second plan information in the plurality of plan information indicates a plan related to operation of the equipment,
The processor obtains the profile information of the first company that owns the plan adjustment system that adjusts the plan group information, and the profile information of the second company,
The processor determines whether the profile information of the second operator is similar to the profile information of the first operator;
When it is determined that the profile information of the second operator is similar to the profile information of the first operator, the processor acquires the causal relationship information of the second operator,
The plan adjustment method including the said processor creating the causal relationship information of said 1st provider based on the causal relationship information of said 2nd provider. The processor acquires plan group information including a plurality of plan information related to resources,
The processor acquires adjustment range information indicating an adjustable range of each plan information,
The processor acquires causal relationship information indicating a causal relationship between the plurality of plan information and a plurality of performance evaluation indexes,
The processor acquires a constraint condition of a preset condition performance evaluation index among the plurality of performance evaluation indices,
The processor creates a plurality of plan group information candidates by changing the plan group information based on the constraint condition and the adjustment range information,
The processor selects a specific performance evaluation index from the plurality of performance evaluation indices;
The processor calculates a predicted value of a specific performance evaluation index from each plan group information candidate using the causal relationship information,
The processor selects one of the plurality of plan group information candidates as selected plan group information based on the predicted value of the specific performance evaluation index of each plan group information candidate,
After the plan group based on the selected plan group information is executed, the processor acquires the actual value of each performance evaluation index by the execution,
The processor calculates a difference between the predicted value and the actual value for each performance evaluation index,
The processor changes the causal relationship information based on the difference.
Plan adjustment method including that. The processor acquires plan group information including a plurality of plan information related to resources,
The processor acquires adjustment range information indicating an adjustable range of each plan information,
The processor acquires causal relationship information indicating a causal relationship between the plurality of plan information and a plurality of performance evaluation indexes,
The processor acquires a constraint condition of a preset condition performance evaluation index among the plurality of performance evaluation indices,
The processor creates a plurality of plan group information candidates by changing the plan group information based on the constraint condition and the adjustment range information,
The processor selects a specific performance evaluation index from the plurality of performance evaluation indices;
The processor calculates a predicted value of a specific performance evaluation index from each plan group information candidate using the causal relationship information,
The processor acquires first plan information in the plurality of plan information,
The processor creates a first plan information candidate by changing the first plan information under the constraint condition and the adjustment range information of the first plan information,
The processor calculates a predicted value of a performance evaluation index affected by the first plan information candidate among the plurality of performance evaluation indices based on the causal relationship information,
The processor acquires second plan information from a management device that manages second plan information in the plurality of plan information,
The processor creates a second plan information candidate by changing the second plan information under the restriction condition and the adjustment range information of the second plan information,
The processor transmits the second plan information candidate to the management device;
The processor receives, from the management device, a predicted value of a performance evaluation index affected by the second plan information candidate among the plurality of performance evaluation indices;
Plan adjustment method including that.

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