JP7249873B2 - SYSTEM OPERATION COOPERATION SUPPORT DEVICE AND METHOD THEREOF - Google Patents

Description

The present invention relates to a system task cooperation support device and method for supporting each task execution device while cooperating with a plurality of task execution devices each executing a plurality of tasks in a system.

A system, for example, a power system, is provided with task execution devices that perform tasks in the power system, such as equipment operation tasks and planning tasks. In this task execution device, a task index such as the cost required for equipment maintenance and operation is calculated for each task. At this time, for example, for the purpose of minimizing the cost related to power generation within a specific period, multiple demand forecast curves within a specific period are created by combining them, and plan revisions occur due to changes in demand forecast curves from among multiple power generation plans. In this case, a technique has been proposed for searching for an optimum power generation plan that minimizes the relational expression relating to the amount of correction (see Patent Document 1). In Patent Document 1, “The demand forecasting unit 102 creates a plurality of demand forecast curves and a demand scenario that is a collection of demand forecast curves. By doing so, each power generation plan created by the power generation plan group creation unit 103 is examined, its robustness is evaluated, and the power generation plan that is most robust against demand fluctuations is selected as the optimum power generation plan from the power generation plan group. .” is stated.

JP 2010-213477 A

In Patent Document 1, a set with probabilistic weights is created for a plurality of different demand forecast curves, and the correction amount of a plurality of power generation plans is evaluated for the set of demand forecast curves with stochastic weights. there is On the other hand, since each of a plurality of different demand forecast curves changes continuously with time, if a combination with a plurality of power generation plans is evaluated for each time, the calculation time increases as the number of combinations increases. Therefore, there is a problem that the method cannot be applied to tasks that require a limited calculation time.

Therefore, an object of the present invention is to reduce the calculation time for calculating the shared control condition approximate value shared by a plurality of support targets by managing the uncontrollable condition value indicating time-series data with an approximate value according to a rule. and

In order to solve the above-mentioned problems, the present invention provides a device for transmitting and receiving information to and from each of a plurality of work execution devices each executing a plurality of work processes in a system as support targets, wherein: inputting and discretizing the uncontrollable condition value indicating the time-series data of the system, dividing the discretized uncontrollable condition value into a plurality of groups according to the value, and managing each of the plurality of groups; a value rounding rule storage unit that stores a value rounding rule for managing the uncontrollable condition values belonging to each of the above by associating them with rounding values; When information indicating the execution result of each of the tasks of each of the support targets is received from each of the support targets, the minimum value of the task index of each of the tasks of each of the support targets is indicated based on the received information calculating a plurality of estimated business index values and a plurality of approximate controllable condition values that serve as shared constraint condition values for each of the support targets when calculating each of the plurality of approximated business index values; a job execution unit that manages each estimated condition value as a candidate for a shared controllable condition estimated value; a predicted value of the uncontrollable condition value is input; and the value rounding rule is applied to the input predicted value of the uncontrollable condition value applied to calculate an uncontrollable condition approximate value that belongs to one of the plurality of groups; and the uncontrollable condition calculated by the uncontrollable condition approximate value calculating unit. Based on the estimated value, from among the calculation results of the work execution unit, the estimated work index value for each of the execution triggers of the work in each of the support targets, and the estimated shared controllable condition corresponding to the estimated work index value a business indicator approximate value extracting unit for extracting value candidates; a total sum calculating unit for calculating each candidate of the estimated value of the shared controllable condition; and from among the candidates of the estimated value of the shared controllable condition indicating the calculation result of the total sum calculating unit, the sum of the estimated business index values becomes the minimum. and a shared controllable condition estimated value selection unit that selects a shared controllable condition estimated value candidate as a search target shared controllable condition estimated value.

According to the present invention, it is possible to manage uncontrollable condition values indicating time-series data with approximate values according to rules, and reduce the calculation time for calculating shared control condition approximate values shared by a plurality of support targets. can.

Problems, configurations, and effects other than those described above will be clarified by the following description of the embodiments.

FIG. 11 is a configuration diagram showing an example of business cooperation for solving a distribution constraint optimization problem; (a) is a configuration diagram showing an example of creating a business index sum calculation table, and (b) is a configuration diagram showing an example of the creation process of the business index sum calculation table. FIG. 2 is a configuration diagram showing an example of a system operation cooperation support device according to the first embodiment; FIG. 7 is a flow chart showing processing for calculating a shared controllable condition approximate value in the system operation cooperation support device according to the first embodiment. 7 is a flow chart showing processing of a value rounding rule definition unit in Embodiment 1; FIG. 10 is a configuration diagram showing an example of creating sorted uncontrollable condition values according to the first embodiment; FIG. 10 is a configuration diagram showing an example of creating a value rounding rule table according to the first embodiment; 9 is a flow chart showing processing of a business index rough calculation table creation unit in Embodiment 1. FIG. 10 is a flowchart showing processing of an index rough calculation table addition unit in Example 1. FIG. 9 is a flowchart showing processing of a shared controllable condition approximate value deriving unit in the first embodiment; 7 is a flow chart showing processing of a business application optimization calculation unit according to the first embodiment; FIG. 4 is a configuration diagram of a table showing an example of a process of combining related indicators in Example 1; FIG. 11 is a configuration diagram showing an example of a system work cooperation support device in Embodiment 2; FIG. 11 is a configuration diagram showing an example of a correction type value rounding rule table in Example 2; FIG. 11 is a flow chart showing processing for generating a correction-type value rounding rule table according to the second embodiment; FIG. FIG. 11 is a configuration diagram showing an example of a system work cooperation support device in Embodiment 3; FIG. 11 is a configuration diagram showing an example of a subdivided value rounding rule table in Example 3; 14 is a flow chart showing generation processing of a subdivided value rounding rule table according to the third embodiment. FIG. 14 is a configuration diagram showing an example of a business collaboration support management screen in Example 4;

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

In this embodiment, the approximate value obtained by discretizing the time-varying control uncontrollable condition value of each of the first and second tasks by a rounding rule is input, and the time-varying task index approximate values of the first task and the second task are calculated. Search for a shared controllable condition approximation that minimizes the sum. By discretizing the uncontrollable conditional value, each task shares the uncontrollable conditional value that becomes the input when calculating the estimated value of the task while ensuring the completeness of the values that the estimated value of the task can take for each task execution. Reduce the number of combinations of controllable condition values to a finite number. Discretization of uncontrollable condition values by such a rounding rule makes it possible to efficiently search for shared controllable condition approximate values with reduced computational complexity.

In the following, when the first task and the second task have shared controllable condition values that require adoption of the same controllable condition value, the sum of the task index values of the first task and the second task is minimized. After showing an example of a distribution constraint optimization problem and an example of a business index summation calculation table within a specific period for exploratory solving the distribution constraint optimization problem, the search for the shared controllable condition approximate value will be made more efficient. The system work cooperation support device will be explained.

FIG. 1 is a configuration diagram showing an example of business cooperation for solving distributed constraint optimization problems. In FIG. 1, the first business application execution device 101 inputs a first uncontrollable condition value 141, which is time-series data of power demand, and calculates a controllable condition value that minimizes the first business index 131 of the first business. is provided with a first business index optimization program execution unit 111 for obtaining . The second business application execution device 102 inputs a second uncontrollable condition value 142 that is time-series data of power demand, and obtains a controllable condition value that minimizes the second business index 132 of the second business. A business index optimization program execution unit 112 is provided.

Here, when the first business index optimization program execution unit 111 and the second business index optimization program execution unit 112 have the shared controllable condition value 121 with the same controllable condition value as a constraint, A distributed constraint optimization problem arises.

For example, in the case of only the first business, the first business application execution device 101 minimizes the first business index 131 such as the facility cost and the coordination power procurement fee. By solving the optimization problem with the value at a certain time of the time-varying first uncontrollable condition value 141 such as demand forecast and renewable energy power generation as input, the first business index 131 at that time is minimized. A controllable condition value can be obtained.

On the other hand, when the first task and the second task targeted by this embodiment have the shared controllable condition value 121 as a constraint, the first controllable condition value and the second controllable condition value are the same for a certain period of time. is the shared controllable condition value 121.

Specifically, the first business in the first business application execution device 101 is the equipment planning business for the purpose of reducing the operation cost for maintaining the stability of the power system, and the second business application in the second business application execution device 102 is the facility planning business. When the business is a power transmission operation business aimed at reducing power transmission loss, the power transmission capacity (upper limit of power transmission capacity), which is the amount of power that can flow through a specific power transmission line, is equal to the shared controllable condition value 121. Become. In the facility planning work, which is the first work, the lower the power transmission capacity, the lower the operation cost. In such a situation, the problem of finding the shared controllable condition value 121 for minimizing the sum of the first business index 131 and the second business index 132 is the distribution constraint optimization problem targeted in this embodiment. .

Since the distribution constraint optimization problem targeted in this embodiment is an NP-hard problem, it is necessary to search for a solution. FIG. 2 shows an example of the business index summation calculation table 201 that is created to search for solutions. FIG. 2A is a configuration diagram showing an example of creating the business index sum calculation table 201, and FIG. 2B is a configuration diagram showing an example of the creation process of the business index sum calculation table 201.

The first business in the first business application execution device 101 and the second business in the second business application execution device 102 are not necessarily executed at the same time and at the same frequency. There is a relationship between execution once and execution of the second business multiple times. If the shared controllable condition value is determined by executing the first task once within the specified period, the shared controllable condition value cannot be changed while the second task is executed multiple times. In other words, the shared controllable condition that minimizes the sum of the first business index 131 and the second business index 132 by inputting the uncontrollable condition value that changes with time within a specific period and the shared controllable condition value that is a fixed value Explore values. For the search, the work index total calculation table 201 is a table describing the work index at the time of execution of each work when the shared controllable condition value candidate within the specific period is changed.

The first column of the business index total calculation table 201 is a shared controllable condition approximate value column 211 , and the second and subsequent columns are a business index approximate value column 212 . The shared controllable condition approximate value column 211 records information about the shared controllable condition approximate value. Information about the first business application is recorded in the first column of the estimated business index value column 212 , and information about the second business application is recorded in the second and subsequent columns of the estimated business index value column 212 . Hereinafter, an example of creating the work index sum calculation table 201 and a search example of a shared controllable condition approximate value for minimizing the work index sum will be described.

Within a specific period, the first task is executed first, and then the second task is executed a plurality of times. The business index summation calculation table 204 at two points in time is created in order. First, as shown in FIG. 2(b), with respect to the work index total calculation table 202 at the first point in time, the first uncontrollable condition value is input, and the minimum work index value (“200”) of the first job and A controllable condition value (“100 MW”) is obtained. After that, the controllable condition value (“100 MW”) is added to the shared controllable condition approximate value column 211 .

Next, add a column whose column name is a combination of the application name of the first business ("1st business application") and the business execution time ("2018/10/10 8:00"). and the line of the controllable condition value intersect with the business index minimum value (“200”). The midway state of the business index summation calculation table at the second point in time is the work index summation calculation table 203 at the second point in time. When creating the work index sum calculation table 203, the work index minimum value (“100”) and the controllable condition value for the second work are calculated in the same way as when the work index minimum value and the controllable condition value for the first work are obtained. (“180 MW”) is obtained, and the result is similarly input to the business index total calculation table 203 . After the input, blank cells in the business index total calculation table 203 are filled. The result is the business index total calculation table 204 at the second point in time. In the upper right blank cell of the business index total calculation table 203 in the middle of the second point in time, calculate and input the business index value when the shared controllable condition approximate value is 100 MW when the second business application is executed. do. In other words, the work index value of the second business application is calculated when the controllable condition value ("100MW") that minimizes the work index value of the first business application is set to the shared controllable condition approximate value ("100MW"). (“130”).

Similarly, in the blank cell at the lower left of the business index total calculation table 203, the controllable condition value ("180 MW") that minimizes the business index of the second business application is set as the shared controllable condition when the first business application is executed. A business index of the first business application when adopted as an approximate value (“180 MW”) is calculated and entered in a blank cell (“220”). As described above, the work index total calculation table 201 is created while increasing the candidates for the shared controllable condition approximate value.

For the work index sum calculation table 201 created here, when the sum of the work index values is acquired in the row direction, the sum of the work index values within a specific period can be calculated for each shared controllable condition approximate value. By comparing these and selecting the row with the smallest sum, it is possible to exploratory extract the shared controllable condition approximate value that minimizes the sum of the first and second business indicators within a specific period.

When searching for shared controllable condition values from the business index summation calculation table 201, it is necessary to list a large number of candidate values in the shared controllable condition approximate value column 211 by solving the optimization problem, resulting in a large amount of calculation. .

Therefore, in the following embodiments, the uncontrollable condition value is set to an uncontrollable condition approximate value discretized by a rounding rule, and the controllable condition value for minimizing each task index value is also set to a discretized approximate value. are reduced to a finite number, and the calculation results can be reused when they have the same input values after discretization. An example of a system operation cooperation support device that realizes the above search efficiency will be described below.

FIG. 3 is a configuration diagram showing an example of the system operation cooperation support device in this embodiment. The system business cooperation support device 301 cooperates with a plurality of business execution devices, for example, the first business application execution device 101 and the second business application execution device 102, which execute processing of a plurality of businesses in the power system, for example, the power system. , the first business application execution device 101 and the second business application execution device 102, respectively. System operation cooperation support device 301 can be implemented using a computer device including, for example, memory 311, CPU 312, communication device 313, storage device 314 such as a hard disk, display device 315, and input device 316. can transmit and receive information to and from the first business application execution device 101 and the second business application execution device 102 wirelessly or by wire.

The display device 315 is a display or the like, and displays the execution status, execution results, and the like of processing by the system operation cooperation support device 301 . The input device 316 is a device such as a keyboard and a mouse for inputting instructions to the computer, and inputs instructions such as program activation. The CPU 312 executes various programs stored in the memory 311 . The communication device 313 exchanges various data and commands with other devices via a LAN (Local Area Network) or the like.

The storage device 314 stores various programs 321 for executing the system business collaboration support device 301, a time-varying uncontrollable condition value 331 which is an input value of the first business application execution device 101 and the second business application execution device 102, The controllable condition value 332 determined by solving the optimization problem by the first business application execution device 101 and the second business application execution device 102 respectively, the control non-controllable condition for the first business application execution device 101 and the second business application execution device 102 A business index value 333 calculated by inputting a value 331 and a controllable condition value 332, a value rounding rule 334 for discretizing the uncontrollable condition value 331, which is a continuous value, and discretizing the uncontrollable condition value 331 by the value rounding rule 334. The uncontrollable condition approximate value 335 and the control uncontrollable condition approximate value 335 are input to the first business application execution device 101 or the second business application execution device 102, and the business indicator approximate value 336 and the business indicator approximate table 337 are saved. do. Note that the business index approximate calculation table 337 includes the business index approximate values 336 calculated by the first business application execution device 101 or the second business application execution device 102 and a plurality of shared controllable condition values for each execution timing of each business. candidates, and information about a plurality of uncontrollable condition approximate values 335 are recorded.

The memory 311 holds various programs 321 that are executed by the system operation cooperation support device 301 .

The CPU 312 of the system operation cooperation support device 301 reads the program 321 stored in the storage device 314 and various data such as values, rules, and tables into the memory 311 and executes them. The program 321 includes a value rounding rule definition unit 341 , a business index approximate table creation unit 342 , a business application optimization calculation unit 343 , and a shared controllable condition approximate value derivation unit 344 . The value rounding rule definition unit 341 is composed of an uncontrollable condition value accumulation unit 351 , a statistical calculation unit 352 , and a value rounding rule storage unit 353 . The work index rough calculation table creation unit 342 is composed of an uncontrollable condition value collection unit 361 , an uncontrollable condition rough estimate value calculation unit 362 , an index approximate value search unit 363 , and an index rough calculation table addition unit 364 . The business application optimization calculation unit 343 is composed of a business application execution unit 371 and a business application result execution unit 372 . The shared controllable condition approximate value derivation unit 344 is composed of an approximate index value sum calculation unit 381 and a shared controllable condition approximate value selection unit 382 .

FIG. 4 is a flow chart for explaining the processing when obtaining the shared controllable condition approximate value in the system operation cooperation support device according to the present embodiment. In the system operation cooperation support device according to the present embodiment, by applying the value rounding rule calculated by inputting the uncontrollable condition value in the first period to the predicted value of the uncontrollable condition value in the second period, the uncontrollable condition Calculate the estimated value, calculate the estimated value of the business index calculated from the estimated value of the uncontrollable condition for each business execution during the second period, create a rough work index table, and use the rough table of the business index to calculate the second period A process of obtaining a shared controllable condition approximate value that minimizes the total sum of the first business index approximate value and a plurality of second business index approximate values is executed.

Specifically, during the first period, the value rounding rule definition unit 341 sets the uncontrollable condition value (time-series data) to be input to the first business application execution device 101 and the second business application execution device 102 to, for example, , from the input device 316 or a non-controllable condition value generating device (not shown) via the communication device 313, and the received non-controllable condition value is stored in the storage device 314 as the non-controllable condition value 331 (process 401). After that, the value rounding rule definition unit 341 calculates the statistics such as the maximum value, the minimum value, the average value, and the variance of the accumulated uncontrollable condition values 331, and from the calculation result, the estimated value of the uncontrollable condition in the first period. A value rounding rule is derived so that the frequency of occurrence is uniform, and the derived value rounding rule is stored in the storage device 314 as a value rounding rule 334 (process 402).

Next, the business application optimization calculation unit 343 reads out the value rounding rule 334 from the storage device 314 before the second period, and based on the read value rounding rule 334, determines the uncontrollable condition after applying the value rounding rule. When the estimated values are input to the first business application execution device 101 and the second business application execution device 102, a candidate for the estimated business index value and the shared controllable condition approximate value for minimizing the estimated business index value is calculated. The shared controllable condition approximate value candidates thus obtained are stored in the work index approximate table 337 of the storage device 314 (process 403).

Next, the business index rough calculation table creation unit 342 outputs predicted values of the uncontrollable condition values for the second period, which are input to the first business application execution device 101 and the second business application execution device 102, to the input device 316, for example. Alternatively, it is received from a control-impossible condition predicted value generator (not shown) via the communication device 313, and by applying the value rounding rule 334 to the received predicted value, the control-impossible condition approximate value 335 is calculated (process 404). After that, the work index rough calculation table 337 of the storage device 314 is searched for a combination of the calculated uncontrollable condition rough value and the work index rough value (process 405).

Next, the business index rough calculation table creation unit 342 determines whether or not there is a set of business index rough calculation values based on the search result in processing 405 (processing 406). If it is determined in process 406 that there is a set of business indicator approximate values, the business indicator approximate table creation unit 342 adopts the determination result as the value of the business indicator approximate table 337 for the second period, proceeds to process 409, If it is determined that a set of business index approximate values does not exist, the processing proceeds to step 407 .

In process 407 , the business application optimization calculation unit 343 receives the estimated value of the uncontrollable condition and executes the first business application execution device 101 and the second business application execution device 102 to obtain the minimum value of the estimated business index value and the A controllable condition approximate value at that time is derived. After that, the business application optimization calculation unit 343 adopts the controllable condition approximate value in the first business application execution device 101 and the second business application execution device 102, and calculates the predicted value of the controllability condition approximate value during the second period. is input, the calculated estimated work index value during the second period is added to the work index rough table 337 in the storage device 314, and the work index rough table 337 information is updated and the process returns to process 405 (process 408).

Finally, in process 409, the work index rough calculation table creation unit 342 selects the row with the smallest total sum from the work index rough calculation table 337 in the second period, and shares the controllable condition rough value common to the row. Output as a controllable condition approximate value, and then terminate the processing in this routine.

Here, in process 403, the business application optimization calculation unit 343, for example, selects candidates (rounded values) for the uncontrollable condition approximate value for each support target (first business application execution device 101 and second business application execution device 102). and receive from each support target the information indicating the execution results for each task of each support target, based on the received information, multiple task indicators indicating the minimum value of the task indicators for each task of each support target Calculating an approximate value and a plurality of controllable condition approximate values that serve as shared constraint condition values for each support target when calculating each of a plurality of work index approximate values, and calculating each of the plurality of controllable condition approximate values that have been calculated as candidates for shared controllable condition approximate values.

In addition, the value rounding rule definition unit 341 uses the uncontrollable condition value of the first period to discretize the uncontrollable condition value of the second period, and the shared controllable value that minimizes the approximate index value and the approximate index value. A value rounding rule is derived that makes it possible to exhaustively and exhaustively prepare when reusing conditional approximate values. The processing of the value rounding rule definition unit 341 will be described based on the flowchart of FIG.

First, in the first period, the uncontrollable condition value accumulation unit 351 of the value rounding rule definition unit 341 stores the uncontrollable condition value input to each business in the first business application execution device 101 and the second business application execution device 102. are collected and stored for each task (process 501).

Next, after the uncontrollable condition value for each job is accumulated in the uncontrollable condition value accumulation unit 351, the statistical calculation unit 352 calculates the value rounding rule by performing the processing indicated by processing 502 to processing 505. FIG. In this embodiment, when reusing the calculation results such as the approximate index value, in order to prevent the shortage of the calculated approximate business index value, the approximate value of the uncontrollable condition after applying the value rounding rule is set to the maximum value and the minimum value. Calculate the rounding rule so that it occurs with equal probability between .

Specifically, in the process 502, the statistical calculation unit 352 rearranges the accumulated uncontrollable condition values in descending order to create sorted uncontrollable condition values 601, as shown in FIG. The sorted uncontrollable condition values 601 are the time-series data of the electric power system, and the uncontrollable condition values accumulated in the first period are divided into a plurality of groups, for example, the first section 611 and the second section 611 according to the values. 612, third section 613, . . . Information of "10.0", "9.2", and "8.0" is recorded in the first section 611 of the first group as the uncontrollable condition value, and in the second section 612 of the second group , information of "8.0", "7.6", "7.5", and "7.0" are recorded as uncontrollable condition values, and in the third section 613 of the third group, the uncontrollable condition Information of "7.0", "6.4", "5.4", and "4.0" are recorded as values.

Next, in process 503, the statistical calculation unit 352 arbitrarily sets the number of types of estimated values of uncontrollable conditions, and calculates the number of sections by dividing the uncontrollable condition values by the number of types. After that, in process 504, the statistical calculation unit 352 cuts out the sorted uncontrollable condition value 601 in descending order by the number of sections, and calculates the maximum value, the minimum value, and the binary values of the maximum value and the minimum value after cutting out. derived as the rounding value. From the second interval onwards, the minimum value of the previous interval is used as the maximum value for calculation.

After that, in process 505, the statistical calculation unit 352 adds the maximum value, minimum value, and rounding value obtained by the calculation to the value rounding rule table 701 shown in FIG. A value rounding rule table 701 consists of a rounding value 711 , a maximum value 712 and a minimum value 713 . The value rounding rule table 701 manages the uncontrollable condition values accumulated in the first period by dividing them into a plurality of groups (sections or rows) according to the values, and manages the uncontrollable condition values that belong to each of the plurality of groups. This is a table for managing each condition value in association with the uncontrollable condition approximate value, which is the rounding value 711 , and is composed of information defined as the value rounding rule 334 . A plurality of groups (intervals or rows) is a finite number and can be managed as a finite number of uncontrollable condition approximate values, which is the rounding value 711 .

That is, even if the power demand of the power system fluctuates greatly and the uncontrollable condition values are collected as countless time-series data, by applying the value rounding rule 334 to the uncontrollable condition values, the countless uncontrollable condition values can be divided into a plurality of groups and managed with a finite number of approximate values for uncontrollable conditions (rounded values). In addition, the uncontrollable condition estimated values accumulated in the first period and the uncontrollable condition estimated values accumulated thereafter can be divided into a plurality of groups according to the values and managed in patterns. It should be noted that the rounding value 711 is set so that the frequency of appearance of the estimated value of the uncontrollable condition in the first period is uniform. That is, the rounding value 711 is such that when the value rounding rule 334 is applied to the predicted value of the uncontrollable condition value, the estimated value of the uncontrollable condition is between the maximum value 712 and the minimum value 713 of the predicted value of the uncontrollable condition value. It is defined as a value that appears with equal probability.

In the first row of the value rounding rule table 701, information belonging to the first section 611 is recorded as information of the first group. Information belonging to the second section 612 is recorded, and information belonging to the third section 613 is recorded in the third row of the value rounding rule table 701 as information of the third group.

For example, in the first row of the value rounding rule table 701, among the information (“10.0”, “9.2”, “8.0”) belonging to the first section 611, the maximum value “10.0” is recorded in the first row for the maximum value 712, the minimum value "8.0" is recorded in the first row for the minimum value 713, and the average of the maximum value "10.0" and the minimum value "8.0" A value of “9.0” is recorded in the first row of rounding value 711 . At this time, for example, a value rounding rule 334 is defined as a rule for rounding an uncontrollable condition value that is less than the maximum value or greater than or equal to the minimum value to a rounding value. If the value is equal to or greater than the maximum value defined by the value rounding rule 334, it may be rounded to the maximum rounding value, and if it is less than the minimum value, it may be rounded to the minimum rounding value. The above processes 504 and 505 are repeatedly applied to the sorted uncontrollable condition values.

After that, the statistical calculation unit 352 determines whether or not the cut-out section remains (process 506). If it is determined that no section remains, the process moves to step 507 . In process 507, the value rounding rule storage unit 353 records the information of the value rounding rule table 701 in the storage device 314, after which the process of this routine ends.

Through the value rounding rule derivation process described above, the estimated values for uncontrollable conditions appear equally probable and comprehensively between the maximum and minimum values, and the combination of the estimated values for uncontrollable conditions and the estimated business index values can be reused. A value rounding rule 334 can be derived such that

Here, the value rounding rule definition unit 341 inputs and discretizes the uncontrollable condition value indicating the time-series data of the electric power system, and divides the discretized uncontrollable condition value into a plurality of groups (first section 611, second section 612, . It functions as a value rounding rule storage that stores value rounding rules (334).

The business application optimization calculation unit 343 executes processing at an arbitrary timing from after the value rounding rule 334 is defined until the predicted value for the second period is received. The content of the processing is when the target first business application execution device 101 or the second business application execution device 102 outputs the minimum value of the business indicator approximate value as the business indicator approximate value with the uncontrollable condition approximate value as input. First, the controllable condition value determined by the first business application execution device 101 or the second business application execution device 102 is accumulated in the storage device 314 as a controllable condition approximate value. The processing will be described with reference to the flow chart of FIG.

First, the business application execution unit 371 of the business application optimization calculation unit 343 reads the information of the value rounding rule table 701 from the storage device 314, and the rounding value 711 (“9.0 , "7.5", and "5.5") are extracted as candidates for the estimated value of the uncontrollable condition (processing 1101). After that, the business application execution unit 371 sends the extracted candidates for the estimated uncontrollable condition to the first business application execution device 101 and the second business application execution device 102, and From the execution device 102, the minimum value of each of the estimated work index values and the approximate controllable condition value at that time are acquired, and the acquired minimum value of the estimated work index values and the approximate value of the controllable condition are stored as a related index combination. 314 (process 1102).

Here, the information of the related index combination to be saved is saved in the related index combination table 1201 for minimizing the business index approximate value, as shown in FIG. FIG. 12 is a configuration diagram of a table showing an example of the process of combining related indices in the first embodiment. The related index combination table 1201 includes a controllable condition approximate value 1211, an uncontrollable condition approximate value 1212, and a work index approximate value 1213, each row corresponding to a related index combination. A related index combination table 1201 is created for each of the first and second business applications.

From the result of the processing 1102, the first to third rows of the related index combination table 1201 contain information of "32.0", "45.0", and "50.0" as the controllable condition approximate values 1211. Information of “9.0”, “7.5”, and “5.5” is recorded as the estimated value 1212 of the uncontrollable condition, and “7.0”, “6. 0” and “5.0” information are recorded.

Next, when calculating a related index combination in which the controllable condition approximate value 1211 and the uncontrollable condition approximate value 1212 are changed, the business application execution unit 371 first fixes the controllable condition approximate value 1211 and changes the controllable condition approximate value 1211 to Related index combination candidates in which the value 1212 is changed to the rounding value 711 (“9.0”, “7.5”, “5.5”) described in the value rounding rule table 701 as shown in FIG. A table 1202 is created (process 1103).

The related index combination candidate table 1202 is composed of a controllable condition approximate value 1211 , an uncontrollable condition approximate value 1212 , and a work index approximate value 1213 , each row corresponding to a related index combination. Related index combination candidate table 1202 is created for each of the first and second business applications. At this time, the estimated controllable condition value 1211, the estimated uncontrollable condition value 1212, and the estimated work index value 1213 include the estimated controllable condition values “32.0”, Blocks B1 and B2 each having a plurality of estimated conditional values "9.0", "7.5" and "5.5" and estimated business index values of "7.0", "6.0" and "5.0" , B3, . . . Also, in the block B1 of the uncontrollable condition approximate value 1212, the values (“9.0”, “7.5”, “5.5”) of the rounding values 711 described in the value rounding rule table 701 are It is recorded as information of the uncontrollable condition approximate value 1212 .

Next, the business application execution unit 371 combines the controllable condition approximate value 1211 and the controllable condition approximate value 1212 included in the related index combination candidate table 1202 with the first business application execution device 101 and the second business application execution device. 102, the estimated business index values obtained from the first business application execution device 101 and the second business application execution device 102 are added as information of the estimated business index value 1213 to the related index combination candidate table 1202, and 12, an extended related index combination table 1203 is created, information of the created extended related index combination table 1203 is recorded in the storage device 314 (process 1104), and then the processing of this routine ends.

At this time, for example, the business application executing unit 371 calculates the controllable condition approximate value (“32.0”) and the controllable condition approximate value (“7. 5”), the business index approximate value (“8.0”) of the second business application is added to the extended related index combination table 1203 as information obtained from the combination.

Through the above processing, it is possible to calculate the approximate business index values required to create the approximate business index calculation table 337 for the second period, and accumulate the calculation results for reuse. At this time, the business application optimization calculation unit 343 can record the information of the related index combination candidate table 1202 in the business index rough calculation table 337 . In this case, the business application optimization calculation unit 343 transmits each rounding value 711 to each support target as a candidate for the approximate estimated value of the uncontrollable condition, and receives information indicating the execution result of each task for each support target from each support target. In that case, based on the received information, a plurality of estimated business index values indicating the minimum value of the business index of each business of each support target, and the above-mentioned each support target when calculating each of the plurality of approximate business index values It functions as a job execution unit that calculates a plurality of controllable condition approximate values that serve as shared constraint condition values and manages each of the calculated plurality of controllable condition approximate values as a candidate for the shared controllable condition approximate value.

In addition, in the work index rough calculation table creation unit 342, after calculating the rough value of the uncontrollable condition by discretizing the predicted value of the uncontrollable condition value in the second period by the value rounding rule 334, For business applications, calculate the estimated value of controllable conditions that minimizes the estimated value of the business index by inputting the estimated value of uncontrollable conditions at a certain point in time, and share the calculated estimated value of controllable conditions Candidates of estimated values of controllable conditions , the calculation results can be recorded in the business index calculation table 337 by calculating the approximate business index value for each business when applied to all the business applications executed in the second period. By using this work index rough calculation table 337, it becomes possible to exploratoryly obtain the shared controllable condition rough value that minimizes the total sum of the work index rough values in the shared controllable condition rough value derivation unit 344, which will be described later. . The processing will be described with reference to the flow chart of FIG. FIG. 8 is a flow chart showing processing of the business index rough calculation table creation unit in the first embodiment.

First, the uncontrollable condition value collection unit 361 of the business index rough calculation table creation unit 342 predicts the same uncontrollable condition value as the input of the first business application execution device 101 and the second business application execution device 102 in the second period. A value is received, and a predicted value of the received uncontrollable condition value is sent to the uncontrollable condition rough calculation unit 362 (process 801). The uncontrollable condition rough calculation unit 362 reads out the value rounding rule table 701 defined by the value rounding rule definition unit 341, and converts the uncontrollable condition value into the uncontrollable condition according to the value rounding rule 334 recorded in the read value rounding rule table 701. Convert to an approximate value (process 802).

At this time, the non-controllable condition rough calculation unit 362 inputs the predicted value of the non-controllable condition value, applies the value rounding rule 334 to the input predicted value of the non-controllable condition value, and selects one of the plurality of groups. Estimated values of out-of-control conditions belonging to one group will be calculated. Thereafter, the uncontrollable condition approximate calculation unit 362 sends the converted uncontrollable condition approximate value to the index approximate value search unit 363 .

Next, the index approximate value search unit 363 that has received the converted non-controllable condition approximate value refers to the work index approximate calculation table 337 accumulated in the storage device 314, and based on the reference result, the converted non-controllable condition It is checked whether or not there is an uncontrollable condition approximate value that is the same as the approximate value (process 803). The approximate index value searching unit 363 performs this process for each target business application execution device, such as the first business application execution device 101 and the second business application execution device 102 .

Thereafter, the index approximate value searching unit 363 determines whether or not there is an uncontrollable condition approximate value identical to the converted uncontrollable condition approximate value (process 804). If it is determined that the estimated value exists, the process proceeds to processing 805 .

In process 805, the index approximate value searching unit 363 extracts the minimum value of the business index approximate value corresponding to the control-impossible condition approximate value sent from the control-impossible condition approximate calculation unit 362 and the controllable condition approximate value at that time. and proceed to processing 808 .

In processing 806 to processing 807, the processing by the business application optimization calculation unit 343 is executed, and when the estimated uncontrollable condition value is input to the first business application execution device 101 or the second business application execution device 102, The minimum value of the estimated business index values output by any business application execution device and the estimated controllable condition value at that time are extracted.

The business application execution unit 371 of the business application optimization calculation unit 343 inputs the uncontrollable condition approximate value to the first business application execution device 101 or the second business application execution device 102, and calculates the minimum business index estimate value and , a request to output the controllable condition approximate value at that time is sent (process 806). Thereafter, the business application result receiving unit 372 records the minimum business index estimated value obtained as a result of the request in process 806 and the controllable condition approximate value at that time in the storage device 314, and proceeds to process 808. Proceed (process 807).

Next, the index approximate calculation table addition unit 364 sets the controllable condition approximate value obtained in the process 805 or the process 807 as the shared controllable condition approximate value throughout the second period, and during the second period, the first The business index rough calculation table 337 is updated by calculating the rough index values for each opportunity to execute the business application execution device 101 and the second business application execution device 102, or by reusing the calculation results under the same conditions (process 808). ), and then terminate the processing in this routine. The details of how to update the business index rough calculation table 337 in the process 807 will be described later.

By the above work index rough calculation table creation processing, it is possible to create the work index rough calculation table 337 that enables comparison of the work index rough values when the shared controllable condition rough value is changed. At this time, without recalculating the previously calculated business index approximate values and controllable condition approximate values, in process 403 of FIG. Estimated values can be reused.

The indicator approximate calculation table addition unit 364 calculates, for each candidate for the shared controllable condition approximate value, an approximate work indicator value that changes according to the time change of the approximate value of the uncontrollable condition within the second period, and creates a rough work indicator table. Add to 337. This makes it possible to compare the business index approximate values when the shared controllable condition approximate value is changed.

Here, the index approximate value searching unit 363 and the index approximate table adding unit 364 calculate the uncontrollable condition approximate value calculated by the uncontrollable condition approximate value calculating unit 362, and the business application optimization calculation unit (business execution unit) 343 or from the work index estimation table 337, the work index estimation value for each job execution opportunity in each support target, and the shared controllable condition approximate value candidate corresponding to each work index estimation value are extracted. Functions as an index approximate value extraction unit. At this time, the work index approximate value extraction unit refers to the work index approximate table (337) based on the non-control condition approximate value calculated by the non-control condition approximate value calculation unit 362, and If there is an estimated value for uncontrollable conditions that is the same as the estimated value for uncontrollable conditions calculated by , the control that is a candidate for the minimum estimated business index value and the estimated value for shared controllable conditions corresponding to the same estimated value for uncontrollable conditions A possible condition approximate value is extracted from the work index approximate calculation table 337 , and the extraction result is transferred to the shared control possible condition approximate value derivation unit 34 . In addition, the business application optimization calculation unit 343 performs each of It functions as a job execution unit that requests the support target to transmit information on the minimum estimated work index value and the estimated controllable condition value when the same estimated value of non-controllable condition is input.

A process for enabling comparison of the work index estimated values when the shared controllable condition estimated value is changed will be described below with reference to the flowchart of FIG.

First, the index rough calculation table addition unit 364 identifies a business application name to which the uncontrollable condition value 331 and its estimated time are input (process 901), and stores the predicted time of the uncontrollable condition value and the business application in the work index rough calculation table 337. A column having a combination of application names as a column ID is added (process 902). Next, the indicator approximate calculation table adding section 364 adds a row having the row ID of the shared controllable condition approximate value acquired by the indicator approximate value searching section 363 to the work indicator approximate calculation table 337 (process 903). After that, the indicator approximate calculation table adding unit 364 adds the business indicator approximate value acquired by the indicator approximate value searching unit 363 to the business indicator approximate calculation table 337 for the cell where the added column and row intersect (process 904). .

For example, when the business application name is the second business application and the time is "2018/10/10 10:00", the business index summation calculation table 203 (Fig. 2 ), a business index rough calculation table 337 in the middle of the second point in time is created.

After that, the indicator rough calculation table addition unit 364 determines whether or not there is a cell with no value entered in the work indicator rough calculation table 337 (process 905), and obtains a judgment result that there is a cell with no value entered in process 905. If it is determined in step 905 that there is no cell with no value input, the process proceeds to step 908 .

In step 906, an approximate business index value is entered in a value-unentered cell. Specifically, the index rough calculation table addition unit 364 extracts a cell in which no value has been entered from the work index rough calculation table 337, and acquires the column ID and row ID of the cell. At this time, from the column ID, the estimated value of the non-controllable condition at the time indicated by the business application name and the column ID is obtained, and from the row ID, the estimated value of the shared controllable condition is obtained.

Next, based on the acquired information, the index approximate table addition unit 364 converts the uncontrollable condition approximate value and shared controllable condition approximate value acquired in process 906 into information of the business application execution device indicated by the business application name, The business index approximate value is acquired from the calculation result of the business application optimization calculation unit 343, and the acquired business index approximate value is added to the non-input cell (process 907). At this time, the indicator approximate calculation table addition unit 364 inputs the business indicator approximate value into the corresponding cell, and repeats this process until there are no cells with no value entered. As a result, a business index rough calculation table 337 is created in the same manner as the business index summation calculation table 204 (see FIG. 2) at the second point in time. When obtaining the business index approximate value, if the same calculation result exists in the business index approximate calculation table 337 for the business application, the uncontrollable condition approximate value, and the shared controllable condition approximate value, the value is reused. be able to.

If a negative determination result is obtained in process 905 or if process 907 ends, the index rough calculation table addition unit 364 determines whether or not there is a next business application execution trigger (process 908). If it is determined that there is a next business application execution opportunity, the process returns to processing 901. If it is determined that there is no next business application execution opportunity in processing 908, then this routine end the processing.

Through the above processing, it is possible to create the business index rough calculation table 337 that enables comparison of the business index rough values when the shared controllable condition rough values are changed.

In the shared controllable condition estimated value deriving unit 344, when the controllable condition estimated values of the first business application execution device 101 and the second business application execution device 102 are shared within the second period, A shared controllable condition approximate value that minimizes the sum of the index approximate values of the first business application execution device 101 and the second business application execution device 102 is searched. The processing will be described with reference to the flow chart of FIG.

First, after receiving the work indicator rough calculation table 337 created in the second period from the indicator rough calculation table adding section 364 of the work As the sum of the business index approximate values described in the table 337, the index approximate value sum is calculated for each row (process 1001).

Next, the shared controllable condition approximate value selection unit 382 compares the index approximate value sums for each row calculated in process 1001, and specifies and selects the minimum row ID from the comparison result (process 1002). That is, the shared controllable condition approximate value selection unit 382 selects the shared controllable condition that minimizes the total sum of the business index approximate values calculated by the approximate index value total calculation unit 381 from among the candidates for the shared controllable condition approximate values. A candidate approximate value is selected as a shared controllable condition approximate value to be searched.

Thereafter, the shared controllable condition estimated value selection unit 382 selects the shared controllable condition estimated value that is the same value as the selected row ID on the display device 315 or the first business application execution device 101 and the second business application execution device 102 . (processing 1003), and then the processing of this routine ends. Note that the approximate value of the sharing controllable condition in the second period may be recorded in the storage device 314, and the period and the target business application execution device may be searched as search conditions via the communication device 313 or the input device 316. .

Here, the approximate indicator value summation calculation unit 381 calculates the value for each job execution trigger for each support target based on the extraction results of the approximate work indicator value extraction unit (the approximate indicator value search unit 363 and the approximate indicator table addition unit 364). function as a summation calculation unit that calculates the sum of the estimated business index values for each candidate of the shared controllable condition estimated value.

Through the above processing, the minimum value of the sum of the estimated work index values for the second period and the estimated controllable condition value at that time can be obtained from the work index rough calculation table 337 . By using this value as the shared control enable condition value of the first business application execution device 101 and the second business application execution device 102 in the second period, the business index of the first and second business in the second period is can be reduced.

As in this embodiment, when creating the work index rough calculation table 337 in order to obtain the controllable condition rough value that minimizes the total sum of the work index rough values in the second period, the frequency of appearance of the uncontrollable condition values is made uniform. The uncontrollable condition value 331 is set as the uncontrollable condition approximate value by the value rounding rule 334, and the amount of combination of the uncontrollable condition value 331 and the shared controllable condition value used as input for obtaining the work index approximate value is reduced. Therefore, it is possible to fully reuse the business index approximate value (the value calculated in the process 403) calculated in the first period. This reduces the amount of calculation when creating the business indicator rough calculation table 337 in the second period, and enables shared control to minimize the business indicator roughly calculated values in the first and second business applications within a limited time. Condition estimates can be calculated.

In this embodiment, two jobs that share the same constraint are targeted, but the present invention can be applied to three or more jobs as long as they are executed during a specific period of time. In the case of three or more jobs, in the second period, the index approximate value searching unit 363 inputs the control impossible condition approximate value at that time for each opportunity to execute each job, and calculates the shared controllable condition approximate value. can be calculated, and the calculated candidate for the shared controllable condition approximate value is added to the business index approximate table 337 as a row ID. Since the column ID of the work indicator approximate calculation table is a combination of the business application name and the time, it is possible to express three or more tasks, and for each of the three or more tasks, the indicator approximate value in the shared controllable condition approximate value candidate for each execution trigger can be derived and added to the business indicator summary table.

According to this embodiment, the uncontrollable condition value indicating the time-series data in the electric power system is managed by the approximate value according to the value rounding rule, and the calculation for calculating the shared control condition approximate value shared by a plurality of support targets. time can be reduced. In other words, the shared controllable condition approximation reduces the amount of calculation when creating the work metric rough calculation table in the second period, and minimizes the business metric rough values in the first and second business applications within a limited time. A value can be calculated, and a shared controllable condition value can be searched at high speed.

In this embodiment, when the predicted value of the uncontrollable condition value is received in the first embodiment, the value is rounded using a value correction rounding rule that takes into consideration the difference between the predicted value accumulated in the past and the actual value. An example of deriving an unconditional approximation is shown. With this embodiment, even if there is a discrepancy between the predicted value output by the uncontrollable condition predicted value generator and the actual value due to changes in the environment, etc., the actual value is more accurate than when the rounding rule is generated from the predicted value. It is possible to search for a common controllable condition approximation value using a close uncontrollable condition approximation value.

FIG. 13 is a configuration diagram showing an example of the system operation cooperation support device in this embodiment. The system operation cooperation support device for correcting the predicted value is a device obtained by adding a value correction rule generation unit 1311 to the system operation cooperation support device 301 in FIG. 3 in order to generate the correction type value rounding rule table 1401 shown in FIG. , the communication device 313 is connected to a non-controllable condition predicted value generation device 1301 that generates a predicted value of the non-controllable condition value. The value correction rule generating unit 1311 includes a control-impossible condition predicted value accumulation unit 1321 that accumulates the predicted value of the control-impossible condition value, and a control-impossible condition actual value accumulation unit that accumulates the actual value of the control-impossible condition value in association with the predicted value. 1322 and a prediction/actual interval associating unit 1323 that generates a rule for correcting the predicted value to the actual value from the correspondence relationship between the value intervals of the predicted value and the actual value.

FIG. 14 is a configuration diagram showing an example of a correction type value rounding rule table according to the second embodiment. The correction type value rounding rule table 1401 includes a rounding value 1411 , an actual maximum value 1412 , an actual minimum value 1413 , a predicted maximum value 1414 and a predicted minimum value 1415 .

Processing for generating information of the correction type value rounding rule table 1401 shown in FIG. 14 will be described below with reference to the flowchart of FIG.

First, the uncontrollable condition predicted value accumulating unit 1321 designates a future specific period and accumulates the predicted value of the uncontrollable condition value generated by the uncontrollable condition predicted value generator 1301 in the storage device 314 (process 1501). After that, the uncontrollable condition predicted value accumulating unit 1321 waits until a specific period in the future, and transmits the uncontrollable condition value from the uncontrollable condition predicted value generation device 1301 through the communication device 313 from the start to the end of the specific period. It is received and stored in the storage device 314 (process 1502). After the specific period ends, the uncontrollable condition predicted value accumulation unit 1321 reads out the predicted values and actual values of the uncontrollable condition values, and applies the sorted uncontrollable condition values 601 shown in FIG. 6 to the read predicted values. Generate (process 1503).

Next, the predicted actual interval association unit 1323 sets intervals by dividing the sorted uncontrollable condition value 601 by an arbitrary number, and assigns interval names such as the first interval and the second interval in descending order of the predicted value. (process 1504), and then add the maximum and minimum values of each interval among the predicted values to the predicted maximum value 1414 and predicted minimum value 1415 columns of the correction type value rounding rule table 1401 shown in FIG. process 1505).

Next, the predicted actual interval associating unit 1323 refers to the sorted uncontrollable condition value 601 in which an arbitrary interval is set, and stores the actual value group corresponding to the predicted value group in the interval obtained from the reference result. 314, and the maximum and minimum values are extracted from the collected performance values (process 1506). After performing this process for each interval, the predicted actual interval association unit 1323 adds the maximum value for each interval extracted in the process 1506 to the columns of the actual maximum value 1412 and the actual minimum value 1413 of the correction type value rounding rule table 1401. and the minimum value are added (process 1507). From the second interval onward, the prediction actual interval association unit 1323 adds the minimum value of the previous interval to the correction type value rounding rule table 1401 as the maximum value.

Finally, the predicted actual interval association unit 1323 adds the intermediate value between the maximum actual value and the minimum actual value as a rounding value to the correction type value rounding rule table 1401 (processing 1508), and then ends the processing of this routine. do. The intermediate value between the actual maximum value and the actual minimum value may be a value equidistant from the actual maximum value and the actual minimum value, or may be the average value or median value of the actual values in the corresponding section, or other methods. It is also possible to extract a value that represents the actual performance value of the corresponding section and use it as the extracted value.

Here, the predicted actual interval associating unit 1323 stores the predicted value of the uncontrollable condition value accumulated by the uncontrollable condition predicted value accumulating unit 1321 and the actual value of the uncontrollable condition value accumulated by the uncontrollable condition result accumulating unit 1322. are discretized, and the discretized predicted value of the uncontrollable condition value and actual value of the uncontrollable condition value are divided into a plurality of groups according to each value and managed. At this time, the prediction result management unit determines that when the value rounding rule 334 is applied to the actual value of the uncontrollable condition value, the estimated value of the uncontrollable condition is the maximum actual value of the uncontrollable condition value (actual maximum value 1412). and the minimum value (actual minimum value 1413).

According to the present embodiment, even when there is a discrepancy between the predicted value output by the uncontrollable condition predicted value generation device and the actual value due to an environmental change, etc., the actual It is possible to search for a common controllable condition approximate value using an uncontrollable condition approximate value close to the value.

In the first embodiment, when comparing the sum of a plurality of estimated indicator values using the work indicator rough calculation table, the shared controllable condition estimated value is varied within an arbitrary fluctuation range in order to search for a condition that makes the total of the approximate indicator values smaller. It is possible to think of a method to However, with this method, there are issues such as the inability to determine an appropriate fluctuation range for the estimated value of shared controllable conditions, and the verification of whether the varied estimated values of shared controllable conditions can be executed in the first business application and the second business application. there is no problem. Therefore, in this embodiment, an example of subdividing the value rounding rule in order to derive a shared controllable condition approximate value that is closer to the shared controllable condition value that minimizes the sum of the index approximate values in the first embodiment will be described.

According to the present embodiment, even when searching for a shared controllable condition approximate value that reduces the sum of the indicator approximate values, the shared controllable condition approximate value that has an appropriate fluctuation range and can be executed by the first business application and the second business application can be generated.

FIG. 16 is a configuration diagram showing an example of a system operation cooperation support device that subdivides a value rounding rule in this embodiment. The system operation cooperation support device 301 that subdivides the value rounding rule adds a value rounding rule subdivision unit 1611 to the system operation cooperation support device 301 of FIG. 3 in order to generate the subdivided value rounding rule table 1701 shown in FIG. It is a device that The value rounding rule subdivision unit 1611 subdivides the value rounding rule 334 to verify, from the business index summary table 337, the target row for which the sum of the estimated index values may be smaller. , a related rounding rule identification unit 1622 that identifies the input uncontrollable condition approximate value for determining the shared controllable condition approximate value of the target row and its value rounding rule, and divides the specified value rounding rule for subdivision. It is composed of a value rounding rule division unit 1623 .

FIG. 17 is a configuration diagram showing an example of a subdivided value rounding rule table according to the third embodiment. A subdivision value rounding rule table 1701 consists of a rounding value 1711 , a maximum value 1712 and a minimum value 1713 . In the subdivision value rounding rule table 1701 , the third to fifth rows are subdivision groups, and the rounding value 1711 is divided into three subdivision groups 1714 . That is, for the rounding value 711 (“5.5”) recorded in the value rounding rule table 701 of FIG. "5.5", "4.5").

Processing for generating the information of the subdivision value rounding rule table 1701 shown in FIG. 17 will be described below with reference to the flowchart of FIG.

First, the estimated index value sum verification unit 1621 of the value rounding rule subdivision unit 1611 reads the created business index rough calculation table 337 and calculates the sum of the business index approximate values of each row based on the read information (process 1801). ). Next, the approximate indicator value total verification unit 1621 selects, from the calculation results, the row with the smallest total sum of the business indicator approximate values and the row with the difference from the minimum total value equal to or less than an arbitrary value as a subdivision target row. Select (process 1802). After that, the approximate index value sum verification unit 1621 sends information on the subdivision target row to the related rounding rule identification unit 1622 .

Next, the related rounding rule identification unit 1622 that has received the information of the subdivision target row first performs each subdivision target row in order to identify the value rounding rule that affects the sum of the business index approximate values In the row, identify the cell that is the diagonal component of the business index rough calculation table 337 (process 1803), then store the uncontrollable condition value at that time from the time included in the column name in which the identified cell exists. Based on the uncontrollable condition value retrieved from the device 314, the value rounding rule 334 applied to this uncontrollable condition value is identified from the value rounding rule table 701 (process 1804).

After that, the value rounding rule division unit 1623 redivides the interval indicated by the maximum value and the minimum value of the value rounding rule 334 specified in the process 1804 into arbitrary numbers, and divides the intermediate value of each interval after redividing into the rounding value. , the subdivided value rounding rule table 1701 is generated (processing 1805), and then the processing of this routine ends. Note that the example shown in FIG. 17 shows an example in which the value rounding rule 334 with a rounding value of 5.5 in the value rounding rule table 701 is subdivided into three.

Here, the approximate indicator value sum verification unit 1621 refers to the business indicator approximate value table 337, and among the rows of the business indicator approximate value table 337, the smallest row in which the total sum of the respective business indicator approximate values is the smallest, and It functions as a subdivision target row extraction unit that extracts arbitrary rows whose difference is equal to or less than a set value with respect to the total sum of the business index approximate values as subdivision target rows. The related value rounding rule identification unit 1622 refers to the business index approximate calculation table 337 and identifies a rounding value belonging to a subdivision target row having a possibility that the total sum of the business index approximate values is smaller among the subdivision target rows. Functions as a rounding value specifier. The value rounding rule division unit 1623 divides the rounding value belonging to the subdivision target row identified by the rounding value identification unit into a plurality of subdivision rounding values (“6.5”, “5.5”, “4.5”). ), discretizes the uncontrollable condition value, divides the discretized uncontrollable condition value into a plurality of subdivision groups 1714 according to the values, and manages them as a value rounding rule dividing unit. . At this time, the multiple rounding values for subdivision (“6.5”, “5.5”, “4.5”) are such that the predicted value of the uncontrollable condition value is one of the multiple subdivision groups 1714. When belonging to one subdivision group, the uncontrollable condition approximate value is set to a value that appears with equal probability between the maximum value 1712 and the minimum value 1713 of the predicted value of the uncontrollable condition value.

According to the present embodiment, even when searching for a shared controllable condition approximate value that reduces the sum of the indicator approximate values, a shared controllable condition that has an appropriate variation range and can be executed by the first business application and the second business application Candidates for approximate values can be generated.

In this embodiment, by applying a specific value rounding rule to the non-controllable condition values in Embodiment 1, the work indicator rough calculation table and the sum of the indicator approximate values are calculated, and candidates for the shared controllable condition rough value are displayed on the screen. Here is an example of output to . According to this embodiment, when determining the shared controllable condition value, it is possible to compare the candidates for the shared controllable condition approximate value and the sum of the indicator approximate values at that time. In addition, by simultaneously displaying the estimated values for uncontrollable conditions that apply the rounding rules to the predicted values for uncontrollable conditions, it is possible to visualize the difference between the estimated values and the predicted values, and to check whether the value interval is comprehensively considered. can be done. As a result, it is possible to reduce the time required for creating and verifying value rounding rules for each task, or updating and verifying value rounding rules for each task execution period. can reduce the analysis time required for

FIG. 19 is a configuration diagram showing an example of a management screen for outputting a work index approximate table, index approximate value sum, and value rounding rules in this embodiment. The management screen 1900 is configured as a display screen of the display device 315 by sending various data to the display device 315 via the communication device 313 from the system operation cooperation support device 301 . The upper part of the management screen 1900 is an area for displaying a work index rough calculation table and a total index rough calculation value. In this area, period selection buttons 1901 and 1902, an index estimation button 1903, a descending order button 1904, and a sort button 1905 are displayed. Furthermore, in this area, a period is specified by the operator's operation, and when the index estimation button 1903 is pressed, the predicted value or actual value of the uncontrollable condition value for that period is calculated based on the rounding rule. The information of the index approximate value sum 1906 and the business index approximate calculation table 1907 are displayed. Each operator can select a line of interest, and when the operator selects a line of interest 1908 of the estimated index sum total 1906, the sum of the index approximate values 1906 and the line of interest 1908 of the work index rough calculation table 1907 are the same. Row color changes. As a result, the operator can confirm the estimated work index value of each task included in the total estimated index value 1906 .

Note that each task may be executed multiple times during the specified period, and the task index rough calculation table 1907 displays the total value when each task is performed multiple times. An expand button 1909 is provided in the column of each work index estimate (the first work index and subsequent work index approximate values) in the work index approximate table 1907. By pressing the expand button 1909, the work index estimate for each execution is displayed. You can display the value.

The lower portion of the management screen 1900 includes a value rounding rule selection screen 1910 for calculating the index approximate value sum 1906 and the business index approximate table 1907, and a value rounding rule edit screen 1911 for editing the value rounding rule. A value rounding rule selection screen 1910 allows selection of a plurality of value rounding rules. For example, the value rounding rule selection screen 1910 displays information about a value frequency consideration type value rounding rule 1912 and a simple partitioned value rounding rule 1913 as a plurality of value rounding rules. As information for selection, both the predicted value of the non-controllable condition value (predicted value of the non-controllable condition) and the approximate value after applying the value rounding rule (approximate value of the non-controllable condition) are displayed. By presenting this information, it is possible to confirm the difference between the uncontrollable condition value and the approximate value, and select a value rounding rule that reduces the difference.

On the other hand, on the value rounding rule edit screen 1911, the value rounding rule displayed on the value rounding rule selection screen 1910 can be edited. On the value rounding rule edit screen 1911, one section or a plurality of sections can be selected as the section 1914 to be edited. At this time, by pressing a division button 1915, the selected section can be divided into a plurality of sections, and by pressing a merge button 1916, it is possible to merge it into one section. The rounding value of the value rounding rule can also be changed by pressing a rounding value change button 1917 . With the value rounding rule edit screen 1911 described above, it is possible to confirm the difference between the predicted value of the uncontrollable condition and the approximate value (approximate value of the uncontrollable condition), and create a value rounding rule with a smaller difference.

Here, the management screen 1900 functions as a display unit that displays at least information recorded in the work index rough calculation table 337 on the screen. At this time, the display unit can display, as information of the work index rough calculation table 337, the total sum of the work index rough values for each candidate of the shared controllable condition rough value on the screen.

According to this embodiment, since the information recorded in the work index approximate calculation table 337 is displayed, when determining the shared controllable condition value, candidates for the shared controllable condition approximate value and the index approximate value sum at that time are displayed. can be compared.

It should be noted that the present invention is not limited to the above-described embodiments, and includes various modifications. For example, each of the embodiments described above has been described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to those having all the configurations described. In addition, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Moreover, it is possible to add, delete, or replace a part of the configuration of each embodiment with another configuration. Further, each of the configurations, functions, etc. described above may be implemented by hardware, for example, by designing a part or all of them using an integrated circuit. Moreover, each of the above configurations, functions, etc. may be realized by software by a processor interpreting and executing a program for realizing each function. Information such as programs, tables, and files that implement each function can be stored in recording devices such as memory, hard disks, SSDs (Solid State Drives), or recording media such as IC cards, SD cards, and DVDs.

101 first business application execution device, 102 second business application execution device, 301 system business collaboration support device, 311 memory, 312 CPU, 313 communication device, 314 storage device, 315 display device, 316 input device, 331 uncontrollable condition value , 332 controllable condition value, 333 business index value, 334 value rounding rule, 335 uncontrollable condition approximate value, 336 business index approximate value, 337 business index approximate table, 341 value rounding rule definition part, 342 business index approximate table creation part , 343 business application optimization calculation unit, 344 shared controllable condition approximate value derivation unit, 1301 uncontrollable condition prediction value generation device, 1311 value correction rule generation unit, 1611 value rounding rule segmentation unit, 1900 management screen

Claims (14)

A device that transmits and receives information to and from each of a plurality of work execution devices that execute respective processes of a plurality of work in a system as support targets,
inputting and discretizing the uncontrollable condition value indicating the time-series data of the system, dividing the discretized uncontrollable condition value into a plurality of groups according to the value, and managing each of the plurality of groups; a value rounding rule storage unit that stores a value rounding rule for managing the uncontrollable condition values belonging to the respective rounding values in association with each other;
When each of the rounded values is transmitted to each of the support targets as a candidate for the estimated value of the uncontrollable condition, and information indicating the execution result of each of the tasks of each of the support targets is received from each of the support targets, the received information is a plurality of estimated business index values indicating the minimum value of the business index of each of the operations of each of the support targets based on the above, and a shared constraint condition value of each of the support targets when each of the plurality of the plurality of approximate business index values is calculated; a job execution unit that calculates a plurality of controllable condition approximate values and manages each of the plurality of controllable condition approximate values as a candidate for a shared controllable condition approximate value;
inputting a predicted value of the uncontrollable condition value, applying the value rounding rule to the input predicted value of the uncontrollable condition value, and estimating the uncontrollable condition belonging to one of the plurality of groups; an uncontrollable condition approximate value calculator for calculating a value;
based on the uncontrollable condition approximate value calculated by the uncontrollable condition approximate value calculation unit, from among the calculation results of the job execution unit, an approximate work index value for each execution opportunity of each work in each of the support targets; and a business index approximate value extracting unit that extracts a candidate for the shared controllable condition approximate value corresponding to the business index approximate value;
Sum calculation for calculating the sum of the estimated business index values for each of the execution triggers of the respective tasks in each of the support targets for each candidate of the shared controllable condition estimated value, based on the extraction result of the business index estimated value extraction unit. Department and
The candidate for the shared controllable condition estimated value that minimizes the sum of the work index estimated values from among the candidates for each of the shared controllable condition estimated values indicating the calculation result of the total sum calculation unit is selected as a shared controllable condition to be searched. and a shared controllable condition approximate value selection unit for selecting as an approximate value. The system work cooperation support device according to claim 1,
The business execution unit
information about the candidates for the uncontrollable condition approximate value, which are the rounding values stored in the value rounding rule storage unit, the calculated business index approximate values, and the calculated shared controllable condition approximate value candidates; Record in the business indicator summary table,
The business index approximate value extraction unit
Based on the non-controllable condition approximate value calculated by the non-controllable condition approximate value calculation unit, the work index approximate table is referred to, and the same non-controllable condition approximate value calculated by the non-controllable condition approximate value calculation unit If an uncontrollable condition approximate value exists, the minimum value of the business index approximate value corresponding to the same uncontrollable condition approximate value and the controllable condition approximate value that is a candidate for the shared controllable condition approximate value are set to the business index. A system work cooperation support device characterized by extracting from a rough calculation table. The system operation cooperation support device according to claim 2,
The business execution unit
On the condition that the uncontrollable condition approximate value identical to the uncontrollable condition approximate value calculated by the uncontrollable condition approximate value calculation unit does not exist in the work indicator approximate calculation table, the same 1. A system task cooperation support apparatus, characterized by requesting transmission of information on a minimum value of said estimated work index value and said estimated value of controllable condition when said estimated value of uncontrollable condition is inputted. The system work cooperation support device according to claim 1,
The rounding value is
When the value rounding rule is applied to the predicted value of the uncontrollable condition value, the estimated value of the uncontrollable condition appears with equal probability between the maximum value and the minimum value of the predicted value of the uncontrollable condition value. A system work cooperation support device characterized by being defined in The system work cooperation support device according to claim 1,
an uncontrollable condition predicted value accumulation unit that collects and accumulates predicted values of the uncontrollable condition values;
an uncontrollable condition result accumulation unit that collects and accumulates actual values of the uncontrollable condition values;
The predicted value of the uncontrollable condition value accumulated by the uncontrollable condition predicted value accumulation unit and the actual value of the uncontrollable condition value accumulated by the uncontrollable condition result accumulation unit are respectively discretized, and the discretized a prediction result management unit that manages the predicted value of the uncontrollable condition value and the actual value of the uncontrollable condition value by dividing them into the plurality of groups according to each value,
The forecast performance management unit
When the rounding value of the value rounding rule is applied to the actual value of the uncontrollable condition value, the uncontrollable condition approximate value is the maximum value and the minimum actual value of the uncontrollable condition value. A grid work cooperation support device characterized by correcting to a value appearing with equal probability between values. The system operation cooperation support device according to claim 2,
By referring to the above-mentioned business indicator rough calculation table, among the rows of the above-mentioned business indicator roughly calculating table, the smallest row in which the sum of the calculated respective approximate business indicator values is the smallest, and a subdivision target row extraction unit that extracts any row whose difference is less than a set value as a subdivision target row,
a rounding value identification unit that refers to the business index approximate table and identifies a rounding value belonging to a subdivision target row having a possibility that the total sum of the business index approximate values is smaller among the subdivision target rows;
dividing the rounding value belonging to the subdivision target row specified by the rounding value specifying unit into a plurality of subdivision rounding values, discretizing the uncontrollable condition value, and discretizing the discretized uncontrollable a value rounding rule division unit that divides the condition value into a plurality of subdivision groups according to the value and manages the condition value,
The plurality of rounding values for subdivision are
When the predicted value of the uncontrollable condition value belongs to any one of the plurality of subdivision groups, the estimated value of the uncontrollable condition is equal to the maximum predicted value of the uncontrollable condition value. A grid work cooperation support device characterized by being set to a value that appears with equal probability between minimum values. The system operation cooperation support device according to claim 2,
further comprising a display unit that displays on a screen at least the information recorded in the business index rough calculation table;
The display unit
The system business collaboration support device, wherein the total sum of the business index approximate values calculated by the total sum calculation unit is displayed on the screen for each candidate of the shared controllable condition approximate value. A method for transmitting and receiving information to and from each of a plurality of work execution devices each of which executes a plurality of work processes in a system as a support target, comprising:
inputting and discretizing the uncontrollable condition value indicating the time-series data of the system, dividing the discretized uncontrollable condition value into a plurality of groups according to the value, and managing each of the plurality of groups; a value rounding rule storing step for storing a value rounding rule for managing the uncontrollable condition values belonging to the above in association with rounding values;
When each of the rounded values is transmitted to each of the support targets as a candidate for the estimated value of the uncontrollable condition, and information indicating the execution result of each of the tasks of each of the support targets is received from each of the support targets, the received information is a plurality of estimated business index values indicating the minimum value of the business index of each of the operations of each of the support targets based on the above, and a shared constraint condition value of each of the support targets when each of the plurality of the plurality of approximate business index values is calculated; a task execution step of calculating a plurality of approximate controllable condition values and managing each of the plurality of approximate controllable condition values as a candidate for a shared approximate controllable condition value;
inputting a predicted value of the uncontrollable condition value, applying the value rounding rule to the input predicted value of the uncontrollable condition value, and estimating the uncontrollable condition belonging to one of the plurality of groups; an uncontrollable conditional approximate value calculation step for calculating a value;
Based on the uncontrollable condition approximate value calculated in the uncontrollable condition approximate value calculation step, from among the calculation results in the job execution step, roughly estimate the job index for each of the execution triggers of each of the jobs in each of the support targets. an estimated business indicator value extracting step of extracting a candidate for the shared controllable condition approximate value corresponding to the estimated business indicator value and the estimated business indicator value;
A total sum calculated for each candidate of the common controllable condition approximate value, based on the extracted result of the step of extracting the estimated value of the business index, for each of the execution triggers of each of the tasks in each of the support targets. a calculation step;
A shared controllable condition estimated value candidate for which the total sum of the business index estimated values is the smallest is selected from among the candidates for the respective shared controllable condition estimated values indicating the calculation result in the total sum calculation step. and a common controllable condition approximate value selection step for selecting as a condition approximate value. The system business cooperation support method according to claim 8,
In the business execution step,
information on candidates for the uncontrollable condition approximate value, the calculated business index approximate value, and the calculated common controllable condition approximate value candidate, which are the rounding values stored in the value rounding rule storage step; Record in the business indicator summary table,
In the business index approximate value extraction step,
The uncontrollable condition approximate value calculated in the uncontrollable condition approximate value calculation step and the uncontrollable condition approximate value calculated in the uncontrollable condition approximate value calculating step with reference to the work indicator approximate table If the same estimated controllable condition value exists, the minimum value of the estimated business index value corresponding to the same estimated value of uncontrollable condition and the estimated controllable condition value that is a candidate for the estimated shared controllable condition value A system work cooperation support method characterized by extracting from a work index rough calculation table. The system business cooperation support method according to claim 9,
In the business execution step,
On the condition that the uncontrollable condition approximate value identical to the uncontrollable condition approximate value calculated in the uncontrollable condition approximate value calculation step does not exist in the work indicator approximate calculation table, the same and requesting transmission of information about the minimum value of the estimated work index and the estimated value of the controllable condition when the estimated value of the uncontrollable condition is input. The system business cooperation support method according to claim 8,
The rounding value is
When the value rounding rule is applied to the predicted value of the uncontrollable condition value, the estimated value of the uncontrollable condition appears with equal probability between the maximum value and the minimum value of the predicted value of the uncontrollable condition value. A system operation cooperation support method characterized by being defined in The system business cooperation support method according to claim 8,
an uncontrollable condition predicted value accumulation step of collecting and accumulating predicted values of the uncontrollable condition values;
an uncontrollable condition result accumulation step of collecting and accumulating actual values of the uncontrollable condition values;
The predicted value of the uncontrollable condition value accumulated in the uncontrollable condition predicted value accumulation step and the actual value of the uncontrollable condition value accumulated in the uncontrollable condition result accumulation step are respectively discretized, and the discretized a predicted result management step of managing the predicted value of the uncontrollable condition value and the actual value of the uncontrollable condition value by dividing them into the plurality of groups according to each value,
In the forecast performance management step,
When the rounding value of the value rounding rule is applied to the actual value of the uncontrollable condition value, the uncontrollable condition approximate value is the maximum value and the minimum actual value of the uncontrollable condition value. A grid work cooperation support method characterized by correcting values to values appearing with equal probability between values. The system business cooperation support method according to claim 9,
By referring to the above-mentioned business indicator rough calculation table, among the rows of the above-mentioned business indicator roughly calculating table, the smallest row in which the sum of the calculated respective approximate business indicator values is the smallest, and a subdivision target row extraction step for extracting arbitrary rows whose difference is equal to or less than a set value as subdivision target rows;
a rounding value identifying step of referring to the business index approximate calculation table and identifying a rounding value belonging to a subdivision target row having a possibility that the sum of the business index approximate values is smaller among the subdivision target rows;
dividing the rounding value belonging to the subdivision target row identified in the rounding value identifying step into a plurality of subdivision rounding values, discretizing the non-controllable condition value, and discretizing the non-controllable value; a value rounding rule division step for dividing the condition value into a plurality of subdivision groups according to the value and managing the condition value;
The plurality of rounding values for subdivision are
When the predicted value of the uncontrollable condition value belongs to any one of the plurality of subdivision groups, the estimated value of the uncontrollable condition is equal to the maximum predicted value of the uncontrollable condition value. A grid work cooperation support method characterized in that values appearing with equal probability between minimum values are set. The system business cooperation support method according to claim 9,
further comprising a display step of displaying on a screen at least the information recorded in the business index rough calculation table;
In the displaying step,
A system business collaboration support method, wherein the total sum of the business index approximate values calculated in the total sum calculation step is displayed on the screen for each candidate of the shared controllable condition approximate value.

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