JP6207888B2 - Information processing device - Google Patents

Description

  The present invention relates to an information processing apparatus, and more particularly to an information processing apparatus that evaluates a scenario for simulating the operation of a system including a plurality of electrical devices.

  For an operator who monitors and controls the operation of a system such as an electric power system, training using a training simulator is performed in order to improve the operation technology of the monitoring control system. The training simulator is a monitoring and control function equivalent to the supervisory control system used in actual operation, power system facilities such as transmission lines and protection relays, and functions for simulating system conditions such as voltage and power flow and training scenarios (training (Also called a scenario).

  The training scenario is mainly created by a trainer (instructor), but in order to reduce the burden on the trainer, the automatic creation function of accident sequence simulation data is disclosed in Patent Document 1 (paragraph 0019 of JP-A-2003-18747, etc.) and Patent It is disclosed in Document 2 (paragraph 0005 of JP-A-5-333764).

Paragraph 0019 etc. of JP2003-18747 Paragraph 0005 of Japanese Patent Laid-Open No. 5-333764

  In order to improve the quality of training for operators, provision of a function for evaluating a training scenario, which is simulated data of an accident sequence, has been desired. However, Patent Document 1 cannot respond to the request. Specifically, in Patent Document 1, a training simulator is operated by a trainer and a trainee (trainer), and training of the trainee is performed based on the accident sequence data for training created by the trainer. In other words, training is carried out depending on the technology and know-how possessed by the trainer, but no function for objectively evaluating accident sequence data created by the trainer has been proposed.

  Further, Patent Document 2 proposes a technique for quantitatively evaluating the restoration operation performed by the trainee in the system state at the time of the simulated accident. However, the simulation is performed by quantitatively evaluating the system at the time of the simulated accident. No function for objectively evaluating data has been proposed.

  The present invention has been made to solve the above-described problems, and an object thereof is to provide an information processing apparatus that evaluates a scenario for simulating system operation.

  An information processing apparatus according to an aspect of the present invention is a scenario for a training simulator that simulates the operation of a system including a plurality of electric devices, and includes one or more electrics for transitioning the operating state to the first state A scenario acquisition unit that acquires a scenario indicating the operation of the device, a scenario evaluation unit that evaluates the difficulty level of training from information including the number of electrical devices that operate to transition to the first state indicated by the acquired scenario, and A display control unit for displaying the evaluation result by the scenario evaluation unit on the display unit.

  Preferably, the difficulty level of training includes a difficulty level related to estimation of a cause for causing the operating state to transition to the first state, and the scenario indicates the operation content of each of the one or more electric devices, and the operating state is changed to the first state. Including sequence data arranged according to the order for transition, the operation content sequence includes cause operation content corresponding to the cause of the transition of the operating state to the first state, and the scenario evaluation unit Causes of evaluating the degree of difficulty in estimating the cause from the number of one-sided electrical equipment that corresponds to the action content arranged in one direction and the number of the other electrical equipment that corresponds to the action content arranged in the other direction Includes an estimation evaluation unit.

  Preferably, the cause estimation / evaluation unit, on the one hand, the number of electrical devices and the size of the range where the one electrical device is installed in the system, and the number of other electrical devices and the size of the range where the other electrical device is installed in the system. The evaluation part which evaluates the difficulty concerning the estimation of the cause is included.

  Preferably, the cause estimation evaluation unit includes a two-dimensional matrix table having an accident cause estimation difficulty as an array element specified by each class divided in the matrix direction, each class indicating the number of electrical devices, and The range is variable, and the cause estimation and evaluation unit searches the two-dimensional matrix table for the difficulty level of the accident cause estimation corresponding to the set of the number of one electrical device and the number of the other electrical device.

  Preferably, the range of the number of electrical devices indicated by each class is changed based on the total number of electrical devices included in the system.

  Preferably, the difficulty level of training includes the difficulty level related to the operation of one or more electric devices for causing the state transition of the operating state. The information processing apparatus further includes an operation information acquisition unit that acquires operation information related to an operation of one or more electric devices for causing the operating state to transition from the first state to the second state. An evaluation unit that evaluates the degree of difficulty related to the operation from the number of operations for causing the state transition indicated by the information is included.

  Preferably, the difficulty level of training includes the difficulty level related to the operation of one or more electric devices for causing the state transition of the operating state. The information processing apparatus further includes an operation information acquisition unit that acquires operation information related to an operation of one or more electric devices for causing the operating state to transition from the first state to the second state. It has an evaluation unit that evaluates the difficulty level related to the operation based on the number of operations for causing the state transition indicated by the information, and it is difficult to train from the combination of the difficulty level related to the cause estimation and the difficulty level related to the operation. Assess degree.

  An information processing apparatus according to another aspect of the present invention is a scenario for a training simulator that simulates the operation of a system including a plurality of electrical devices, and includes one or more scenarios for transitioning the operating state to the first state A scenario acquisition unit that acquires a scenario indicating the operation of the electrical device, an operation information acquisition unit that acquires operation information related to the operation of one or more electrical devices for transitioning the operating state from the first state to the second state, and A scenario evaluation unit that evaluates the difficulty level of training from information including the number of operations for causing state transition indicated by the operation information, and a display control unit that displays the evaluation result by the scenario evaluation unit on the display unit.

  According to the present invention, for a scenario for simulating the operation of a system, the degree of difficulty in using the scenario for system operation training is evaluated from information related to the scenario.

It is a block diagram of the training simulator for the supervisory control system for electric power systems which concerns on embodiment of this invention. It is a functional lineblock diagram of an information processor for evaluating a training scenario concerning an embodiment of the invention. It is a figure which shows an example of the data of the storage area which concerns on embodiment of this invention. It is a figure which shows the state of the electric power grid | system at the time of the simulation accident which concerns on embodiment of this invention. It is a process flowchart for the training scenario preparation which concerns on embodiment of this invention. It is a figure which shows an example of the display screen of the training scenario list which concerns on embodiment of this invention. It is a flowchart of the training scenario evaluation process which concerns on embodiment of this invention. It is a figure which illustrates typically an evaluation parameter of a training scenario concerning an embodiment of the invention. It is a figure which shows the matrix table | surface used for the accident cause estimation which concerns on embodiment of this invention. It is a figure which shows the table | surface used in order to evaluate the difficulty of accident recovery operation which concerns on embodiment of this invention. It is a figure which shows the matrix table | surface used in order to evaluate the difficulty of the training scenario which concerns on embodiment of this invention.

  Embodiments of the present invention will be described in detail with reference to the drawings. Note that the same or corresponding parts in the drawings are denoted by the same reference numerals and description thereof will not be repeated.

  In this embodiment, the “training scenario” is data for simulating the operation of a power system including a plurality of electric devices, and is applied to training of an operator who monitors and controls the power system. Can be done.

  In this embodiment, in order to simplify the explanation, it is assumed that the training scenario is for transitioning the operating state from the current state to the state at the time of the accident, but the transition destination state is the state at the time of the accident. It is not limited to.

  The “operation information” indicates the operation content of a user (trainer or trainee) for controlling the operation of the electric device. Specifically, an operation content for restoring the operating state of the power system from the state at the time of the accident to the original state is shown. The operation information is not limited to the operation content for restoring the original state, but may be the operation content for making a transition from the state at the time of the accident to another state.

  “Electrical equipment” includes relay-related circuits (hereinafter collectively referred to as relays) such as a relay and a circuit breaker provided for protection of the power system. “Electric device operation” includes power ON / OFF, open / close, start / stop, and the like.

  In the present embodiment, the system to be monitored and controlled is the power system, but the monitoring and control target is not limited to the power system, and may be, for example, a power generation system and a manufacturing plant system. The form of can be applied. Moreover, in this Embodiment, although the kind of electric equipment is set as the relay for protection of an electric power grid | system, it is not limited to this. In other words, if the system to be monitored and controlled is different, the type of electric device is changed to a pump, a valve, a motor, a turbine, or the like depending on the target. Even in this case, the present embodiment can be similarly applied.

  Further, “the difficulty level of the training scenario” indicates the difficulty level of the training when the training scenario is applied to the training simulator, and “evaluating the difficulty level” indicates acquisition of the difficulty level.

(Hardware configuration)
FIG. 1 is a configuration diagram of a training simulator for a supervisory control system for an electric power system according to an embodiment of the present invention. Referring to FIG. 1, the training simulator includes a device 1 and an information processing device 2, which are connected by a wired or wireless communication line. The device 1 corresponds to a computer operated by a user. Specifically, a storage unit 42 including various volatile and nonvolatile storage media such as an MPU (Micro-Processing Unit) 41, a ROM (Read Only Memory), and a RAM (Random Access Memory), an LED (Light Emitting Diode) Alternatively, a display unit 43 including an LCD (Liquid Crystal Display), a communication I / F (abbreviation of interface) 44 having a modulation / demodulation circuit for communicating with an external device including the information processing device 2, and an operation from a user Includes an operation unit 45 including keys, buttons, a mouse, and the like. In addition, the apparatus 1 may be provided with the touch panel which comprised these integrally instead of the display part 43 and the operation part 45. FIG.

  The information processing apparatus 2 includes an MPU (Micro-Processing Unit) 31, a storage unit 32 including various volatile and nonvolatile storage media such as ROM and RAM, a display 33 including an LED or an LCD, and an external including the apparatus 1 A communication I / F (abbreviation of interface) 34 having a modulation / demodulation circuit and the like for communicating with the apparatus is included.

(Functional configuration)
FIG. 2 is a functional configuration diagram of the information processing apparatus 2 for evaluating a training scenario according to the embodiment of the present invention. Many of the functions in FIG. 2 are realized by programs executed by the MPU 31. Specifically, the function corresponding to each unit is stored in advance in the storage unit 32 as a program, and the MPU 31 reads the program from the storage unit 32 and executes the program, thereby realizing the function. Each function may be realized not only by a program but also by a combination of a circuit and a program.

  In FIG. 2, a storage area 23 for storing data related to the functions of the MPU 31 and various setting data storage areas 25 are also shown for explanation. The storage area 23 includes an operation information storage area 232 for storing operation information related to the training scenario and a training scenario storage area 231 for storing the acquired training scenario. The various setting data storage area 25 is referred to when simulating the operating state of the power system based on the training scenario, and stores various parameters such as a set value. These storage areas are provided in the storage unit 32.

  Referring to FIG. 2, the MPU 31 includes an operation information acquisition unit 20 for acquiring operation information related to a training scenario, a training scenario acquisition unit 21 for acquiring a training scenario, a training scenario difficulty evaluation unit 22, and a training scenario. By executing the training scenario read from the storage area 231, the training scenario simulator 24 for simulating the operation of the power system and data for displaying the power system diagram based on the simulation results of the training scenario simulator 24 A system diagram display data generation unit 26 is provided. The training scenario difficulty level evaluation unit 22 evaluates the difficulty level of the training scenario.

  The operation information acquisition unit 20 includes a recovery operation creation unit 201 that creates operation information for restoring the operating state to the original state. The recovery operation creating unit 201 restores the operating state of the power system from the operating state (for example, also referred to as the first state) as a result of simulating the operating state from the training scenario to the original operating state (for example, also referred to as the second state). Create operating procedures for electrical equipment. Moreover, the training scenario difficulty level evaluation unit 22 includes a cause estimation difficulty level evaluation unit 221 for evaluating a difficulty level related to estimation of a cause for causing the operating state to transition to the first state.

  The MPU 31 further includes an operation receiving unit 27 for receiving a user operation transmitted from the device 1, an evaluation display data generating unit 28 for generating data for displaying the evaluation result of the training scenario difficulty level evaluating unit 22, and a display. The display control part 29 which controls the display operation | movement of a part is provided. The display control unit 29 inputs display data from the evaluation display data generation unit 28 and the system diagram display data generation unit 26, and issues a control command for causing the device 1 to display an image on the display unit 43 according to the input display data. Send.

  In the present embodiment, the user operation accepted by the operation accepting unit 27 is a user operation input by the operation unit 45 of the apparatus 1, but is not limited to this. For example, the information processing apparatus 2 may include an operation unit, and a user operation input by the operation unit may be included. Further, the display destination of the image by the display data from the evaluation display data generation unit 28 and the system diagram display data generation unit 26 is not limited to the display unit 43. For example, the display 33 included in the information processing apparatus 2 may be included.

(Stored data)
FIG. 3 is a diagram showing an example of data in the storage area 23 according to the embodiment of the present invention. Referring to FIG. 3A, the training scenario storage area 231 stores the acquired training scenario 60 and the record RC associated with each training scenario 60. The operation information storage area 232 stores the acquired operation information 61. For example, a record RC is associated with the training scenario 60 using a pointer or the like, and operation information 61 is similarly associated with each training scenario 60 using a pointer or the like.

  FIG. 3B illustrates a training scenario 60. In the training scenario 60, the operation contents of one or more relays (ON → OFF, OFF → ON, etc.) are indicated by the arrows in the figure according to the order for transitioning the operating state to the state at the time of the accident (first state). Includes sequence data arranged in the direction. The sequence of the operation content includes the cause operation content 60X corresponding to the cause of the transition of the operating state to the state at the time of the accident.

  Operation information 61 is illustrated in FIG. The operation information 61 is an operation content of the user for recovering the operation state by changing from the state (also referred to as the first state) to the original state (also referred to as the second state) at the time of the accident according to the training scenario 60. In addition, it includes data in which operation contents for operating one or more relays are arranged in the order of the arrows in the drawing according to the order.

  In the present embodiment, the record RC stores data for managing the associated training scenario 60. Specifically, data D1 indicating the identifier of the training scenario 60, data D21 and D22 indicating the number of operation relays extracted from the training scenario 60, data D3 indicating the number of recovery operation procedures, and data on the estimation difficulty level D41, operation difficulty data D42, and scenario difficulty D43. Here, the data D1 indicates the name of the power system accident simulated by the training scenario 60. Data D41 indicates the difficulty level for estimating the cause of an accident that is simulated by the training scenario 60. Data D42 indicates the difficulty level of the operation for restoring the operating state from the accident occurrence state simulated by the training scenario 60 to the original state. Data D43 indicates the difficulty level of the training scenario 60.

  The data D21 indicates the number of relays corresponding to the operation content arranged in the direction (one direction) before the cause operation content 60X in the sequence indicated by the sequence data of the training scenario 60, and the data D22 is behind the data D22. The number of relays corresponding to the operation contents arranged in the direction (the other direction) is shown. Further, the data D3 corresponds to the number of operations extracted from the operation information 61 associated with the training scenario 60.

(Simulation based on training scenario)
The information processing apparatus 2 also provides a training simulator function based on the training scenario 60. FIG. 4 is a diagram showing a state of the electric power system when a simulated accident occurs according to the embodiment of the present invention. When the training scenario simulation unit 24 is activated, the training scenario simulation unit 24 simulates (simulates) according to the training scenario 60 in the training scenario storage area 231 based on the data in the various setting data storage areas 25 set in advance by the trainer. ) Execute the process and output the execution result to the system diagram display data generation unit 26. The system diagram display data generation unit 26 generates data for displaying the state of the power system at the time of occurrence of the accident according to the training scenario 60 from the execution result, and outputs the data to the display control unit 29. The display control unit 29 generates a display control command according to the display data and outputs it to the device 1. The MPU 41 controls the display unit 43 according to the input display control command. On the display unit 43, for example, a system diagram 30 (FIG. 4) for notifying the location where the accident occurred is displayed. In the system diagram 30, the location where the accident occurred is displayed in association with the alarm mark M, so that the location where the accident occurred is distinguished from the other healthy locations.

  The trainee identifies the accident equipment from the system diagram 30 and carries out the recovery operation of the power outage point. Specifically, a command for operating the relay for recovery by operating the operation unit 45 is input. The operation reception unit 27 receives the operation content (input command) from the operation unit 45 and outputs the received operation content to the training scenario simulation unit 24. The training scenario simulation unit 24 reads the operation information 61 corresponding to the training scenario 60 from the operation information storage area 232, compares the operation content indicated by the read operation information 61 with the operation content input by the trainee, and determines the result. Output. Specifically, the system diagram display data generation unit 26 and the display control unit 29 change the display mode of the location where the accident occurred in the system diagram 30 from the comparison result. That is, when the comparison result indicates that the operation content indicated by the operation information 61 matches the operation content input by the trainee, the display of all alarm marks M is deleted from the system diagram of FIG. The training is reported to be successful. Otherwise, the alarm mark M remains and is informed that the training has failed.

  Therefore, the more complicated the operation content indicated by the operation information 61 corresponding to the simulated training scenario 60, that is, the greater the number of operations for operating the relay, the more demanded is for the training scenario 60. Recovery operations tend to be difficult.

(Create training scenario)
FIG. 5 is a process flowchart for creating a training scenario according to the embodiment of the present invention. This processing flowchart is stored in advance in the storage unit 32 as a program, and the MPU 31 reads the program from the storage unit 32 and executes it.

  Based on the operation content input from the operation reception unit 27, the training scenario creation unit 211 inputs the operation of an arbitrary circuit breaker or relay on the power system one by one in time series, and creates the training scenario 60.

  Specifically, first, the training scenario creation unit 211 of the MPU 31 inputs a user operation from the apparatus 1 via the operation reception unit 27, and selects a training scenario 60 (see FIG. 3B) based on the input operation content. Create (steps S3 and S5). Data for the training scenario 60 is created in a working memory (not shown) of the MPU 31.

  The training scenario creation unit 211 determines whether or not a scenario creation end is instructed from a user operation (step S7). If it is determined that the end instruction has not been input (NO in step S7), the process returns to step S3, and creation of the training scenario 60 continues.

  On the other hand, if it is determined that the process is finished (YES in step S7), the training scenario creation unit 211 reads the generated training scenario 60 from the work memory and stores it in the training scenario storage area 231 (step S9).

  In step S <b> 9, the MPU 31 generates a record RC in association with the generated training scenario 60 and stores it in the training scenario storage area 231. The record RC stores data D1 acquired based on user input and calculated data D21 and D22. Data D3 and D41 to D43 indicate NULL data at this stage.

  Thereafter, the process ends, but when a plurality of training scenarios 60 are generated, the process of FIG. 5 is repeated.

  Although the training scenario 60 is created from the user operation content in FIG. 5, it may be automatically created regardless of the user operation content. Specifically, the accident scenario and the accident aspect specified by the user via the operation unit 45 are detected, and the training scenario 60 is automatically created by estimating the expected operation of the electric device based on the detected content. It is good. A well-known method can be applied to the automatic creation of the training scenario 60.

(Create operation information)
In the present embodiment, the recovery operation creation unit 201 inputs the user operation content from the operation reception unit 27, and creates operation information 61 (see FIG. 3C) based on the input operation content. The recovery operation creation unit 201 creates the operation information 61 in a work memory (not shown), and when the creation is completed, reads the data from the work memory and stores it in the operation information storage area 232 in a manner associated with the training scenario 60. .

  In the present embodiment, the operation information 61 is created from the user operation content input from the operation unit 45, but may be automatically created. For example, automatic creation using the restoration procedure creation method described in Japanese Patent Laid-Open No. 6-327158 by the present applicant may be applied.

  Further, the created training scenario 60 or the operation information 61 can be changed by the user performing an editing operation via the operation unit 45. In this case, the data of the associated record RC is also changed according to the changed training scenario 60 or the operation information 61.

(Display screen)
FIG. 6 is a diagram showing an example of a display screen of the training scenario list 46 according to the embodiment of the present invention. The MPU 31 reads the data D1 and D4 of the record RC associated with each training scenario 60 stored in the training scenario storage area 231 and corresponds to the training scenario name indicated by the read data D1 and D4 and each training scenario name. A training scenario list 46 including a list of difficulty levels is generated and displayed on the display 33 (or the display unit 43) via the display control unit 29.

  In the screen of FIG. 6, when the user designates the training scenario name in the training scenario list 46 via the operation unit 45 and then operates the button 51, the MPU 31 causes the training scenario simulation unit 24 to be instructed by a command according to the operation content. When activated, the training scenario simulation unit 24 executes a simulation based on the designated training scenario 60. Further, when the button 52 is operated, the MPU 31 activates the training scenario creation unit 211 according to a command according to the operation content. The activated training scenario creation unit 211 generates the training scenario 60 as described above. When the user designates the training scenario name in the training scenario list 46 via the operation unit 45 and then operates the button 53, the MPU 31 activates the training scenario difficulty evaluation unit 22 according to the instruction according to the operation content, and performs training. The scenario difficulty level evaluation unit 22 evaluates the difficulty level of the operation corresponding to the designated training scenario 60. Details of this will be described later.

  Further, when the user operates the button 54 on the screen of FIG. 6 via the operation unit 45, the MPU 31 erases the display of the training scenario list 46 in accordance with a command according to the operation content.

  The output mode of the difficulty level is not limited to display only, and may be voice output, print output, or the like.

(Training scenario evaluation)
FIG. 7 is a flowchart of the training scenario evaluation process according to the embodiment of the present invention. This processing flowchart is stored in advance in the storage unit 32 as a program, and the MPU 31 reads the program from the storage unit 32 and executes it. Here, it is assumed that the training scenario 60 that is not evaluated with difficulty indicated by the arrow AR in the training scenario list 46 in FIG. 6A is designated as an evaluation target.

  First, the training scenario difficulty level evaluation unit 22 of the MPU 31 acquires the number of operation relays of the designated training scenario 60. In the present embodiment, when the training scenario 60 is created, an identifier is input in association with the cause action content 60X. Therefore, the MPU 31 can detect the operation content (that is, the cause operation content 60X) associated with the identifier from the sequence of operation contents of the training scenario 60. Then, the operation relays are extracted from the operation contents arranged before and after the detected cause operation content 60X, the number is counted, and data D21 and D22 are calculated (step S11). The calculated data D21 and data D22 are stored in the record RC associated with the training scenario 60.

  Subsequently, the recovery operation creation unit 201 reads the operation information 61 associated with the training scenario from the operation information storage area 232. Then, the number of operations is counted by analyzing the operation information 61, and data D3 is calculated (step S13). The calculated data D3 is stored in the record RC associated with the training scenario 60.

  Thereafter, the cause estimation difficulty evaluation unit 221 evaluates the difficulty of estimating the cause of the accident, acquires data D41 (step S15), and the training scenario difficulty evaluation unit 22 evaluates the difficulty of the accident recovery operation. Data D42 is acquired (step S17). Details of these evaluation processes will be described later.

  When the difficulty level is evaluated in steps S15 and S17, the training scenario difficulty level evaluation unit 22 evaluates the difficulty level of the training scenario 60 and stores the evaluation result as data D43 in the record RC (step S19). Details of this will be described later.

  Finally, the evaluation display data generation unit 28 generates data for displaying the evaluated difficulty level on the training scenario list 46 and outputs the data to the display control unit 29. The display control unit 29 displays the evaluation result data on the training scenario list 46 (step S21). As a result, the training scenario list 46 on the screen changes from (A) in FIG. 6 to (B) in FIG. 6. In FIG. 6B, data of the difficulty level “5” of the training scenario 60 that was the evaluation target is added.

(Evaluation parameters)
FIG. 8 is a diagram schematically illustrating parameters used for evaluation of the training scenario according to the embodiment of the present invention. Referring to FIG. 8, evaluation parameters 80 used for evaluation of training scenario 60 include an accident cause estimation parameter 81 and an accident recovery operation parameter 82. The accident cause estimation parameter 81 includes the number of operating relays of the data D21 and D22 shown in FIG. The accident recovery operation parameter 82 includes the number of operation procedures of the data D3 shown in FIG.

(Accident cause estimation processing)
FIG. 9 is a diagram showing a matrix table used for accident cause estimation according to the embodiment of the present invention. Referring to FIG. 9, matrix table MT1 is represented by a two-dimensional table of matrices. In the matrix table MT1, the value of the matrix table MT1 defined by a set of two parameters, the number of operation relays indicated in the row direction (before the accident) and the number of operation relays indicated in the column direction (after the accident) is the difficulty level of the accident cause estimation. Stored as The matrix table MT1 is stored in the storage unit 32 in advance.

  In step S15 described above, the cause estimation difficulty evaluation unit 221 reads the data D21 and D22 from the record RC associated with the designated training scenario 60, and is designated by the set of the number of operation relays of the read data D21 and D22. Are retrieved from the matrix table MT1 of the storage unit 32 and read out. The read value indicates the difficulty level of the accident cause estimation. For example, when the data D21 indicates “10” and the data D22 indicates “50”, the search result of the matrix table MT1 in FIG. 9 based on the set of operating relays (10, 50), the cause of the accident estimation is difficult. The degree “5” is read out.

  As described above, in the present embodiment, the difficulty of estimating the cause of the accident is difficult by searching the matrix table MT1 based on the number of operating relays before the accident and the number of operating relays from the occurrence of the accident to before the start of the accident recovery operation. Get the degree (evaluation score).

  In the matrix table MT1 in FIG. 9, the difficulty level is set in advance so that the number of operation relays before the accident is small and the number of operation relays after the accident is large. In other words, the operation relay before the accident occurs is a sign of the accident, and the relay system is installed over a relatively wide range in the power system. When trying to identify the cause), it is more difficult to identify the cause of the accident in the training scenario 60 in which a small number of relays operate than in the training scenario 60 in which a large number of relays operate before the occurrence of the accident. Therefore, in the matrix table MT1, data is set such that the higher the number of operation relays before the accident and the greater the number of operation relays after the accident, the higher the difficulty level is acquired.

  The value indicating the difficulty level of the matrix table MT1 may be changed according to the size of the range in which the operating relay is installed. In other words, before the accident occurs, the operation relay before the accident represents a sign of the accident, and there are a small number of relays over a wider range than the training scenario 60 in which a large number of relays operate in a relatively narrow range of the power system. Since it is more difficult to identify the accident facility where the accident occurs in the training scenario 60 in which the relay operates, the training scenario 60 that has a wide range of accident targets but a small number of operating relays before the accident is more difficult to estimate the cause of the accident. Evaluate as high. After the accident, the recovery operation tends to become more complicated as the number of operation relays after the accident increases. Therefore, the greater the number of relays after the accident, the higher the degree of difficulty.

  The inventor has empirically obtained knowledge that the size of the range in which relays that operate before and after the accident are installed differs depending on the type of accident simulated by the training scenario 60. Based on this knowledge, the matrix table MT1 in which the difficulty corresponding to the type of the accident is registered in association with the data D1 of each record RC may be stored in the storage unit 32. In this case, a more accurate evaluation of the difficulty level becomes possible.

  In addition, since the number of operating relays before and after the accident depends on the scale of the target power system (total number of relays in the power system), the size of the range that determines each class in the matrix direction in the matrix table MT1 is the power. It is variable according to the system scale. Specifically, in the matrix table MT1 of FIG. 9, the column direction is divided by every 50 ranges, and the row direction is divided by every 10 ranges, but the size of each class range is not limited to this. Specifically, since the number of operating relays before and after the accident changes depending on the number of facilities in the target power system, the size of each range in the row direction and the column direction in the matrix table MT1 is the power. It may be adjustable according to the system scale.

  Further, in the present embodiment, the difficulty level of accident cause estimation is evaluated using the matrix table MT1, but the evaluation method is not limited to this. For example, the evaluation may be performed by calculating the degree of difficulty in estimating the cause of the accident from a predetermined evaluation function using two parameters of data D21 and D22.

(Evaluation of difficulty of accident recovery operation)
FIG. 10 is a diagram showing a table used for evaluating the difficulty level of the accident recovery operation according to the embodiment of the present invention. Referring to FIG. 10, in table TB, restoration operation procedure number TB1 indicating the number of operations related to accident restoration and difficulty evaluation score TB2 are registered in association with each other. The table TB in FIG. 10 is stored in the storage unit 32 in advance.

  In step S17 described above, the training scenario difficulty level evaluation unit 22 reads the data D3 from the record RC associated with the designated training scenario 60, and searches the table TB of the storage unit 32 based on the value of the read data D3. . As a result of the search, an evaluation score TB2 corresponding to the number of restoration operation procedures TB1 corresponding to the value of the data D3 is read. The value of the read evaluation point TB2 indicates the difficulty level of the accident recovery operation.

  In the table TB, the class of the number of restoration operation procedures TB1 is divided by a range of 50, but the size of the class range is not limited to this. In other words, the number of restoration operation procedures depends on the total number of relays of the target power system as well as the number of operating relays described above, so the size of the class range can be varied according to the power system scale (total number of relays, etc.). is there.

  Moreover, although the difficulty level of accident recovery operation was acquired using table | surface TB in this Embodiment, the acquisition method is not limited to this. For example, the evaluation may be performed by calculating the difficulty level of the accident recovery operation from a predetermined evaluation function using the data D3 as a parameter.

(Evaluation of difficulty of training scenario)
FIG. 11 is a diagram showing a matrix table MT2 used for evaluating the difficulty level of the training scenario according to the embodiment of the present invention.

  During training, the trainee estimates the cause of the accident from the display image of FIG. 4 and the like, and inputs the operation details for recovery from the operation unit 45 based on the estimation, and the recovery operation becomes more complicated as the number of operation relays after the accident increases. Tend to be. Therefore, in the present embodiment, the difficulty level of the training scenario 60 can indicate the cause of the accident by the estimation difficulty level, and can also indicate the difficulty level of the accident recovery operation.

  In the present embodiment, as shown in FIG. 11, the difficulty level of the accident scenario estimation and the difficulty level of the accident recovery operation are used as parameters, that is, the difficulty level of the training scenario 60 is determined from the combination of both difficulty levels. evaluate.

  Specifically, the matrix table MT2 in FIG. 11 is represented by a two-dimensional table of matrices. In the matrix table MT2, a training scenario is used as an array element specified by a set of two parameters, an evaluation point (difficulty level) for estimating the cause of an accident shown in the row direction and an evaluation point (difficulty level) for the accident recovery operation shown in the column direction. 60 difficulty levels are stored. The matrix table MT2 is stored in the storage unit 32 in advance.

  In said step S19, the training scenario difficulty level evaluation part 22 searches the matrix table MT2 of the memory | storage part 32 based on the evaluation score acquired by step S15 and S17, and reads the difficulty level of the training scenario 60. FIG. The read difficulty level indicates the difficulty level of the operation corresponding to the training scenario 60, and is stored as data D43 in the corresponding record RC. For example, when the evaluation point of the accident cause estimation indicates “10” and the evaluation point of the accident recovery operation indicates “50”, the matrix table MT2 based on the set of evaluation points (10, 50) is retrieved and trained. The difficulty level “10” of the scenario 60 is read.

  In the matrix table MT2 of FIG. 11, the column direction is divided by 3 classes of 1 to 10, 11 to 50, and 51 to 100, and the row direction is divided by 3 classes of 1 to 9, 10 to 19, and 20 to 10 or more. However, the number of classes is not limited to 3 classes. Moreover, the size of the range of each class is not limited to this. These can be changed according to the scale of the power system. For example, the size of the class range is changed according to the maximum value that can be taken by the evaluation point of the accident cause estimation and the evaluation point of the accident recovery operation.

  In the present embodiment, in the matrix table MT2, the difficulty level is expressed in all 9 classes by using the division of 3 classes without depending on the maximum value of the base evaluation score, but the difficulty evaluation of the training scenario 60 is performed. The method is not limited to the method using the matrix table MT2. For example, the evaluation may be performed by calculating the degree of difficulty from a predetermined evaluation function using two parameters of an accident cause estimation evaluation point and an accident recovery operation evaluation point.

  Unlike the evaluation method using the evaluation function, when the evaluation is performed using the matrix table MT2 as in the present embodiment, the difficulty level can be determined according to the class division method desired by the user.

(Modification)
In the present embodiment, only the difficulty level of the training scenario 60 acquired in step S19 is displayed, but one or both of the difficulty levels acquired in step S15 and step S17 may be displayed. In that case, the user can select the training scenario 60 based on the difficulty of accident estimation or the difficulty of accident recovery operation.

  Further, when the user edits and changes the training scenario 60 or the operation information 61 by operating the scenario creation button 52 in FIG. 6A, the MPU 31 operates automatically or the button 53 is operated. 7 is executed, the difficulty level of the changed training scenario 60 or operation information 61 is evaluated again, and the data of the corresponding record RC is changed.

  In the present embodiment, the information processing apparatus 2 includes both the difficulty evaluation function of the training scenario 60 and the training simulator function of the training scenario simulation unit 24. However, at least only the difficulty evaluation function of the training scenario 60 is included. May be provided.

  Moreover, in this Embodiment, although the training scenario creation part 211 and the recovery operation creation part 201 acquired the training scenario 60 and the operation information 61 from the user operation content, the acquisition method is not limited to this. For example, the training scenario 60 and the operation information 61 may be received from an external device (not shown) and stored in the storage area 23 in advance, and the MPU 31 may obtain the information by reading the information from the storage area 23.

(Other embodiments)
In the above-described embodiment, a program for causing a computer, which is an information processing apparatus including a processor such as MPU 31, to execute the information processing method according to FIG. 7 is shown. This information processing method is a scenario for a training simulator that simulates the operation of a system including a plurality of electric devices, and shows the operation of one or more electric devices for transitioning the operating state to the first state. A step of acquiring a scenario, a step of evaluating the difficulty level of training from information including information on the acquired scenario and at least the number of electric devices operating to transition to the first state; And displaying the result on a display unit.

  Further, another information processing method according to FIG. 7 is a scenario for a training simulator that simulates the operation of a system including a plurality of electric devices, and is one for transitioning the operation state to the first state. A step of acquiring a scenario indicating the operation of the electric device, a step of acquiring operation information relating to operation of one or more electric devices for transitioning the operating state from the first state to the second state, and the operation information The method includes the step of evaluating the difficulty level of training from the information including the number of operations for causing the state transition indicated by and the step of displaying the evaluation result on the display unit.

  In this embodiment, the program is provided as a program product stored in a non-temporarily recorded machine-readable recording medium. Examples of the recording medium include computer-readable recording media such as a CD-ROM (Compact Disc-ROM) and a memory card. The program can be provided by being recorded on a hard disk or the like of the storage unit 32 built in the computer. A program can also be provided by downloading via a network. For example, in the configuration of FIG. 1, the information processing apparatus 2 includes a disk driver (not shown), and the MPU 31 reads a program from a storage medium attached to the disk driver and stores the program in the storage unit 32. Alternatively, the MPU 31 reads a program received from a network (not shown) via the communication I / F 32 and stores it in the storage unit 32.

  The provided program product includes the program itself and a recording medium on which the program is recorded.

(Effects of the embodiment)
According to the embodiment, the difficulty level of the accident cause estimation and the difficulty level of the accident recovery operation for the training scenario 60 are quantitatively evaluated from the number of operation relays or the number of operations, and the difficulty level of the training scenario 60 is determined from these evaluation results. Is quantitatively evaluated and presented to the user.

  The user can select the training scenario 60 having a difficulty level that meets the needs without checking the content of the training scenario 60 from the presented difficulty level. As a result, it is possible to carry out simulation training with difficulty matching the driving skill of the trainee.

  Further, the training scenario 60 created by the user is evaluated by the training scenario difficulty level evaluation unit 22 using the information extracted from the training scenario 60 or the corresponding operation information 61 (the number of operation relays or the number of operations). Objective evaluation results can be obtained.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning of the claims.

DESCRIPTION OF SYMBOLS 1 apparatus, 2 information processing apparatus, 20 operation information acquisition part, 21 training scenario acquisition part, 22 training scenario difficulty evaluation part, 23 storage area, 24 training scenario simulation part, 25 various setting data storage area, 26 system diagram display data Generating unit, 27 operation accepting unit, 28 evaluation display data generating unit, 29 display control unit, 30 system diagram, 46 training scenario list, 51, 52, 53, 54 buttons, 60 training scenario, 60X cause action content, 61 operation Information, 80 evaluation parameters, 81 accident cause estimation parameters, 82 accident recovery operation parameters, 201 recovery operation creation section, 211 training scenario creation section, 221 cause estimation difficulty evaluation section, 231 training scenario storage area, 232 operation information storage area.

Claims (6)

Scenario acquisition for a simulator for training that simulates the operation of a system that includes a plurality of electrical devices and that shows the operation of one or more electrical devices for transitioning the operating state to the first state And
A scenario evaluation unit that evaluates the difficulty level of training from information including the number of electrical devices that operate to transition to the first state indicated by the acquired scenario;
A display control unit for displaying an evaluation result by the scenario evaluation unit on a display unit ,
The scenario includes a sequence of operation contents in which the operation contents of each of the one or more electrical devices are arranged according to an order for transitioning the operating state to the first state,
The sequence of the operation contents includes a cause operation content corresponding to a cause of causing the operation state to transition to the first state,
The scenario evaluation unit
In the arrangement of the operation contents, the operation is calculated based on the number of one electric devices corresponding to the operation contents arranged in one direction and the number of the other electric devices corresponding to the operation contents arranged in the other direction in view of the cause operation contents. An information processing apparatus including a cause estimation evaluation unit that evaluates a degree of difficulty related to estimation of a cause of transition of a state to the first state . The cause estimation and evaluation unit
From the number of the one electrical device and the size of the range in which the one electrical device is installed in the system, and the size of the range in which the other electrical device is installed in the system and the size of the other electrical device in the system, The information processing apparatus according to claim 1 , further comprising an evaluation unit that evaluates a difficulty level related to the estimation. The cause estimation and evaluation unit
Comprises a two-dimensional matrix table having a degree of difficulty according to the estimated before Kihara factors as array elements specified by each class, separated in row and column directions,
Each class indicates the number of electrical devices, and the range is variable,
The cause estimation evaluation unit, from the 2-dimensional matrix table, retrieves the difficulty according to the estimated before Symbol cause corresponding to the set of the number of the one and the number of electrical equipment the other electrical apparatus, in claim 2 The information processing apparatus described. The information processing apparatus according to claim 3 , wherein the range of the number of electrical devices indicated by each class is changed based on the total number of electrical devices included in the system. The difficulty level of the training includes the difficulty level related to the operation of one or more electrical devices for changing the operating state,
An operation information acquisition unit that acquires operation information related to operation of one or more electrical devices for causing the operating state to transition from the first state to the second state;
The scenario evaluation unit
From the number of operation for the state transition the operation information indicates, including the evaluation unit for evaluating the degree of difficulty according to the operation processing apparatus according to any one of claims 1 4. The difficulty level of the training includes the difficulty level related to the operation of one or more electrical devices for changing the operating state,
An operation information acquisition unit that acquires operation information related to operation of one or more electrical devices for causing the operating state to transition from the first state to the second state;
The scenario evaluation unit
From the number of operations for causing the state transition indicated by the operation information, an evaluation unit that evaluates the degree of difficulty related to the operation,
Difficulty of the estimation of the cause, and the from a combination of difficulty for the operation, to evaluate the degree of difficulty of the exercise, the information processing apparatus according to any one of claims 1 to 5.

Images