WO2017212788A1 - Plant operation support system - Google Patents

Plant operation support system Download PDF

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Publication number
WO2017212788A1
WO2017212788A1 PCT/JP2017/015428 JP2017015428W WO2017212788A1 WO 2017212788 A1 WO2017212788 A1 WO 2017212788A1 JP 2017015428 W JP2017015428 W JP 2017015428W WO 2017212788 A1 WO2017212788 A1 WO 2017212788A1
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Prior art keywords
plant
actual
abnormality
data
exemplary operation
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PCT/JP2017/015428
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French (fr)
Japanese (ja)
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慎太郎 寺島
勝秀 北川
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株式会社日立製作所
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Publication of WO2017212788A1 publication Critical patent/WO2017212788A1/en

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00—Simulators for teaching or training purposes

Definitions

  • the present invention relates to a plant operation support system.
  • Patent Document 1 a process data reference display is not limited to a single piece of data, and a plurality of related process data can be referenced and displayed. A technology for sharing information is disclosed.
  • plant facilities for example, boilers, turbines, etc.
  • plant operations that are performed in the event of an abnormality, including an improvement operation when the efficiency of the plant is reduced and a recovery operation when an abnormality occurs due to an alarm.
  • Plant operation in the event of an abnormality is dealt with artificially by acquiring experience and knowledge accumulated by operators during long-term plant operations, familiarizing with the specifications and operation methods of facilities and equipment, and operating education using simulator devices, etc. It was often done.
  • Patent Document 1 did not disclose that a correct operation method is extracted based on a combination of process data and operation history related to an unusual plant state. For this reason, it was difficult to operate the plant to restore the plant from the abnormality.
  • the present invention has been made in view of such a situation, and an object thereof is, for example, to be able to correctly perform a recovery operation of a plant in which an abnormality has occurred.
  • the plant operation support system includes an exemplary operation data creation device and a simulator device.
  • the model operation data creation device is based on plant data including time-series plant values within an occurrence period of an abnormality occurring in the actual plant, and time-series actual plant operation data indicating operations performed on the actual plant. Create model operation data that shows the model operation until the actual plant is restored to normal.
  • the simulator device is operated on a virtual plant obtained by virtualizing a real plant, information based on a virtual plant operation indicating an operation for an abnormality occurring in the virtual plant, information based on a model operation acquired from the model operation data, and The model operation based on the comparison result of is output.
  • a plant operation support system includes an exemplary operation data creation device and a simulator device.
  • the model operation data creation device is based on plant data including time-series plant values within an occurrence period of an abnormality occurring in the actual plant, and time-series actual plant operation data indicating operations performed on the actual plant. Create model operation data that shows the model operation until the actual plant is restored to normal.
  • the simulator device outputs an exemplary operation based on a comparison result between information based on the actual plant operation indicating an operation for an abnormality occurring in the actual plant and information based on the exemplary operation acquired from the exemplary operation data.
  • the operator of the virtual plant who performs operation training on the virtual plant performs the exemplary operation based on the comparison result between the information based on the virtual plant operation and the information based on the exemplary operation. Can be recovered from abnormalities.
  • an operator of the actual plant that operates the actual plant restores the actual plant from an abnormality by performing an exemplary operation based on a comparison result between information based on the actual plant operation and information based on the exemplary operation. be able to.
  • FIG. 1 is a block diagram illustrating a configuration example of the plant operation support system 1.
  • the plant operation support system 1 includes an exemplary operation data creation device 2 and a simulator device 3.
  • the model operation data creation device 2 outputs an actual plant operation device 4 that performs various operations on the actual plant 5 that is actually operated, and outputs various plant values along with the plant operation on the actual plant operation device 4.
  • the actual plant 5 to be connected is connected.
  • the exemplary operation data creation device 2 includes an exemplary operation data creation unit 21, a sudden change plant value scanning unit 22, a plant operation database 23, and a plant database 24.
  • the model operation data creation device 2 creates model operation data indicating a model operation until the actual plant 5 is normally recovered from an abnormality.
  • the creation of the model operation data includes plant data (process data) including time-series plant values within the period of occurrence of an abnormality occurring in the actual plant 5, and a time-series actual plant indicating operations performed on the actual plant 5. Performed based on operation data.
  • the plant operation database 23 records time-series actual plant operation data performed by the operator on the actual plant 5 through the actual plant operation device 4 as an operation history.
  • the plant database 24 records time-series plant data output from the actual plant 5.
  • the sudden change plant value scanning unit 22 scans, from the plant database 24, a plant value in an abnormality occurrence period until an abnormality occurring in the actual plant 5 returns to normal when an abnormality such as sudden change occurs in the actual plant 5.
  • the sudden change is, for example, that a change rate in a short period of an arbitrary plant value (turbine rotation rate or the like) exceeds a threshold value.
  • the user can determine the definition of the abnormality to be scanned. For example, the occurrence of a serious failure in the actual plant 5 can be defined as an abnormality.
  • the sudden change plant value scanning unit 22 performs a period (“scanning period”) from the occurrence of an abnormality, which is the cause of the occurrence of an arbitrary alarm, or the time when an arbitrary plant value suddenly changes to the normal value again. Is scanned from the plant database 24.
  • the model operation data creation unit 21 acquires the sudden change that the sudden change plant value scanning unit 22 scanned from the plant database 24 in the scanning period and the plant value at the sudden change, and the actual operation at the time of the sudden change from the plant operation database 23. Acquire plant operation data. The actual plant operation data acquired at this time indicates plant operations such as valve shut-off, for example.
  • the model operation data creation unit 21 creates model operation data including the acquired actual plant operation data and the sudden change and plant value obtained by the sudden change plant value scanning unit 22. This model operation data is obtained by patterning a plant operation performed to cope with an abnormality as a model operation. Then, the model operation data creation unit 21 registers the created model operation data in the model operation database 31 provided in the simulator device 3.
  • the simulator device 3 includes an exemplary operation database 31, a difference comparison unit 32, and a power plant training simulator device 33.
  • the simulator device 3 is operated on the virtual plant 33a, and the comparison result between the information based on the virtual plant operation indicating the operation for the abnormality occurring in the virtual plant 33a and the information based on the model operation acquired from the model operation data. Outputs an example operation based on.
  • the power plant training simulator device 33 is equipped with a program for simulating the operation of the actual plant 5 (power plant) as the operation of the virtual plant 33a, and the virtual plant 33a is executed by executing the program. Is reproduced.
  • the exemplary operation database 31 records exemplary operation data registered by the exemplary operation data creating unit 21.
  • the difference comparison unit 32 compares the difference between the plant value read from the model operation database 31 for the abnormality set in the virtual plant 33a and the plant value output from the virtual plant 33a by the training operation with a predetermined threshold value. . And the difference comparison part 32 makes the power plant training simulator apparatus 33 output model operation based on model operation data, when the difference of a plant value exceeds a threshold value.
  • the power plant training simulator device 33 (an example of a training operation unit) causes the operator to perform a driving training for dealing with an abnormality occurring in the power plant. For this reason, the operator uses the power plant training simulator device 33 to perform a training operation on the virtual plant 33a in which the actual plant 5 is virtualized.
  • the virtual plant 33 a is a virtual plant configured in the power plant training simulator device 33, and operations on the virtual plant 33 a can be performed in the same manner as the actual plant 5.
  • the virtual plant 33a outputs the same plant value as that of the actual plant 5.
  • the power plant training simulator apparatus 33 outputs the virtual plant operation data which shows the plant operation performed with respect to the virtual plant 33a by operation training to the difference comparison part 32, and displays the operation result input from the difference comparison part 32 This is displayed on the part C5 (see FIG. 2 described later).
  • any abnormality can be generated in the virtual plant 33a.
  • the operator can train to cope with the abnormality that has occurred in the virtual plant 33a by operating the power plant training simulator device 33.
  • the simulator device 3 replaces the power plant training simulator device 33 with a simulator device for a chemical plant to perform operation training for the operator. Can also be performed.
  • FIG. 2 is a block diagram illustrating a hardware configuration example of the computer C.
  • the computer C is hardware used as a so-called computer.
  • the computer C includes a CPU (Central Processing Unit) C1, a ROM (Read Only Memory) C2, and a RAM (Random Access Memory) C3 respectively connected to the bus C4. Further, the computer C includes a display unit C5, an operation unit C6, a nonvolatile storage C7, and a network interface C8.
  • CPU Central Processing Unit
  • ROM Read Only Memory
  • RAM Random Access Memory
  • the CPU C1 reads the program code of software that realizes each function according to the present embodiment from the ROM C2, and executes it.
  • the RAM C3 variables, parameters and the like generated during the arithmetic processing are temporarily written.
  • the display unit C5 is, for example, a liquid crystal display monitor, and displays a result of processing performed by the computer C to the user.
  • a keyboard, a mouse, or the like is used for the operation unit C6, and a user can perform predetermined operation inputs and instructions.
  • the actual plant operating device 4 shown in FIG. 1 includes a display unit C5 and an operating unit C6, displays the state of the actual plant 5 to the operator, and accepts an operation input from the operator.
  • the power plant training simulator device 33 also includes a display unit C5 and an operation unit C6, displays the state of the virtual plant 33a to the operator who performs the operation training of the virtual plant 33a, and receives an operation input from the operator. Accept.
  • the model operation data creation device 2 may not include the display unit C5 and the operation unit C6, and the simulator device 3 other than the power plant training simulator device 33 may not include the display unit C5 and the operation unit C6.
  • non-volatile storage C7 for example, HDD (Hard disk drive), SSD (Solid State Drive), flexible disk, optical disk, magneto-optical disk, CD-ROM, CD-R, magnetic tape, nonvolatile memory, etc. are used. It is done.
  • OS Operating System
  • a program for causing the computer C to function is recorded in the nonvolatile storage C7.
  • the nonvolatile storage C7 is used as an example of a computer-readable non-transitory recording medium that stores a program executed by the CPU C1. For this reason, this program is permanently stored in the non-volatile storage C7.
  • the plant operation database 23, the plant database 24, and the model operation database 31 are constructed in the nonvolatile storage C7.
  • a NIC Network Interface Card
  • LAN Local Area Network
  • FIG. 3 is an explanatory diagram showing a configuration example of the plant operation database 23.
  • the plant operation database 23 has fields of date time and operation. In the time field, the date and time when the actual plant 5 is operated by the actual plant operating device 4 is stored. In this example, the clocking starts from 00:00 on June 1st. From FIG. 3, for example, it is indicated that the date and time when the plant operation of “XXX execution” is performed is June 1 at 0: 0: 01.
  • FIG. 4 is an explanatory diagram showing a configuration example of the plant database 24.
  • the plant database 24 has fields of ID, signal type, name, and time.
  • ID field an ID (an example of a data identifier) for uniquely identifying plant data output from the actual plant 5 is stored.
  • the signal type field stores either analog or digital as the type of plant data.
  • the name field stores the name of plant data.
  • time field the plant value of the plant data is stored every 1 second from 0: 0: 0. For example, the value of the XXX temperature is 10 ° C. at 0: 0: 0 on June 1, but the value of the XXX temperature is increased to 11 ° C. at 0: 0: 2 seconds.
  • FIG. 5 is an explanatory diagram illustrating a configuration example of the exemplary operation database 31.
  • the exemplary operation database 31 has a table for each abnormality occurring in the actual plant 5.
  • the exemplary operation database 31 includes fields for elapsed time, operation, and state change. In the elapsed time field, the time when the plant operation is performed on the actual plant 5 or the state of the actual plant 5 changes is counted and stored. In this example, time measurement is started by setting the time when an abnormality has occurred in the actual plant 5 as 0: 0: 0.
  • the operation performed on the actual plant 5 or the contents of the state change of the actual plant 5 is stored.
  • “XXXX abnormality” occurs (ON)
  • “YYYY” operation is executed 30 seconds later, and one minute after the abnormality occurs
  • the temperature of the device “ZZZ” constituting the actual plant 5 changes from AA ° C. to BB It is shown that it has changed to ° C.
  • 3 minutes after the occurrence of the abnormality it is indicated that “XXXXXX abnormality” has converged (OFF). At this time, the actual plant 5 has recovered normally from the abnormality.
  • FIG. 6 is a flowchart illustrating an example of processing in which the model operation data creation device 2 patterns plant operations and plant value transitions.
  • the sudden change plant value scanning unit 22 scans time-series plant data from the plant database 24 (S1), and determines whether or not an abnormality has occurred in the actual plant 5 (S2). If no abnormality has occurred in the actual plant 5 (NO in S2), the sudden change plant value scanning unit 22 returns to S1 and continues scanning the plant data.
  • the sudden change plant value scanning unit 22 determines a scanning period from the occurrence of the abnormality in the actual plant 5 until it returns to normal from the plant database 24. Scan (S3).
  • the sudden change plant value scanning unit 22 scans the actual plant operation data of the operation performed by the actual plant operation device 4 during the scanning period from the plant operation database 23 (S4), and the plant value changed during the scanning period is converted into the plant value. Scan from the database 24 (S5).
  • the definition of the change of the plant value can be determined by the user. For example, in a period from when an abnormality occurs in the actual plant 5 to when it returns to normal, a difference in analog value or a change rate exceeding a threshold value can be defined as a change in plant value.
  • model operation data creating unit 21 creates model operation data in which the plant operation (actual plant operation data) for the scanned actual plant 5 and the transition of the plant value of the plant data are patterned. Then, the model operation data creation unit 21 registers this model operation data in the model operation database 31 (S6).
  • the process from step S3 to S6 is called a patterning process as an exemplary operation.
  • the sudden change plant value scanning unit 22 determines whether there is any other plant data in the plant database 24 (S7). If there is other plant data (YES in S7), the sudden change plant value scanning unit 22 returns to S1 and repeats the process. If there is no other plant data (NO in S7), the sudden change plant value scanning unit 22 ends this process.
  • FIG. 7 is a flowchart showing an example of processing in which the simulator device 3 performs driving training for the operator.
  • an operation training for an abnormality in the actual plant 5 an operator operates the power plant training simulator device 33, and the simulator device 3 determines whether the plant operation for the virtual plant 33a is appropriately performed.
  • the power plant training simulator device 33 executes an event in the virtual plant 33a (S11).
  • an instructor causes an abnormality assumed in the actual plant 5 to occur in the virtual plant 33a.
  • the difference comparison unit 32 stores the actual plant 5 stored in the exemplary operation database 31 by the exemplary operation performed when the same event as the event executed by the power plant training simulator device 33 occurs in the actual plant 5. Get the plant value. Then, the difference comparison unit 32 calculates the difference between the transition of the plant value of the virtual plant 33 a output from the power plant training simulator device 33 and the transition of the plant value of the patterned actual plant 5 acquired from the exemplary operation database 31. The difference is obtained and compared with a predetermined value (S12). The predetermined value compared with the difference differs depending on whether the signal type of the plant value is analog or digital.
  • the difference comparison unit 32 determines whether or not the difference is greater than or equal to a predetermined threshold value. If the signal type of the plant value is digital, the difference comparison unit 32 has passed a certain time since the ON or OFF of the plant value of the virtual plant 33a is different from the ON or OFF of the plant value of the exemplary operation database 31. It is determined whether or not (S13).
  • the threshold value that is compared with the difference when the plant value is analog and the fixed time that is determined when the plant value is digital are both defined by the user.
  • the difference comparison unit 32 returns to Step S12 and continues the process.
  • the power plant training simulator device 33 displays the patterned correct plant operation that the difference comparison unit 32 reads and outputs from the model operation database 31 as the model operation (S14). Thereby, the operator can perform the plant operation according to the model operation.
  • the power plant training simulator device 33 determines whether or not the event has ended (S15). If the event has not ended (NO in S15), the difference comparison unit 32 returns to step S12 and continues to compare the difference between the plant values until the abnormality of the virtual plant 33a returns to normal. If the event has ended (YES in S15), the difference comparison unit 32 ends this process.
  • FIG. 8 is an explanatory diagram showing a display example of the operation screen displayed on the power plant training simulator device 33 in step S14 of FIG.
  • ZZZZ temperature which is a plant value output from the power plant training simulator device 33 due to an operator's mistake in plant operation
  • ZZZZ temperature which is a plant value stored in the exemplary operation database 31.
  • the plant value graph displays a reference value indicating the temperature transition of the plant indicated by a broken line and a current value indicating the temperature transition of the virtual plant 33a indicated by a solid line.
  • the difference D2 between the current temperature value and the reference value at the current time is, for example, (BB ⁇ AA) ° C. Since the type of temperature is analog, the difference D2 is compared with a threshold value.
  • an operation notification area D3 for notifying the driver of the model operation is displayed.
  • the operation notification area D3 indicates, for example, that an exemplary operation is performed at a predetermined time. For this reason, the operator performs a correct exemplary operation displayed in the operation notification area D3 on the virtual plant 33a in which the same abnormality has occurred again, so that the abnormality that has occurred in the virtual plant 33a can be recovered normally. Training is possible.
  • the exemplary operation is a plant operation for returning the temperature of the virtual plant 33a to the reference value
  • the operator can set the virtual plant 33a so that the temperature difference D2 of the virtual plant 33a in which an abnormality has occurred is less than the threshold value. It is also possible to perform driving training to operate the.
  • the plant data and operation history of the actual plant 5 are accumulated and the relevance is patterned.
  • a correct operation pattern can be effectively presented to the operator even in a special situation where the efficiency reduction or abnormality of the virtual plant 33a occurs.
  • the plant operation support system 1 overcomes the limit points for the plant operation at the time of abnormality that has been interpolated by knowledge and know-how based on experience, and supports high-accuracy plant operation and its response. Technology can be provided to operators.
  • the model operation data creation device 2 automatically extracts the plant operation and the transition of the plant value when an abnormality occurs from the plant data of the actual plant 5 and patterns it as a model operation. Accumulate operational know-how of plant 5.
  • the simulator device 3 By utilizing this driving know-how by the simulator device 3, it is possible to prevent shaking of the teaching method by the instructor and implement high-quality driving training. For this reason, the simulator device 3 can use a huge amount of plant data and various conditions related to each other, which are limited by know-how and knowledge based on conventional experience, as inputs, and can provide high-precision driving support in real time. .
  • the simulator device 3 identifies plant data and condition values that cause the performance degradation or abnormality of the actual plant 5 based on the analysis result of the abnormality, and appropriately provides the operator with the appropriate countermeasures. It becomes possible. This makes it possible to make decisions on plant operations in the event of abnormalities, which previously required time, in a short time according to the current plant status, environmental conditions, and operating conditions, which is more efficient than before. Plant operation can be realized.
  • the difference comparison unit 32 may compare the difference between the model operation data and the virtual plant operation data instead of the difference between the plant values. For example, the difference comparison unit 32 compares the model operation data when the abnormality occurs in the virtual plant 33a with the virtual plant operation data that the operator has performed the training operation using the power plant training simulator device 33, and the plant Find the operation difference. Then, when a difference occurs between the model operation data and the virtual plant operation data, the power plant training simulator device 33 uses the model operation as a comparison result indicating that the plant operation for the virtual plant 33a is different from the model operation. Notify Thereby, an operator can be made to recognize the mistake of operation and it can also be made to master model operation.
  • the difference in plant operation does not have to be exactly the same. For example, you may provide about several seconds as a threshold value of the time when the same operation as the predetermined operation performed in the exemplary operation is performed on the virtual plant 33a. Further, as long as the influence on the virtual plant 33a can be ignored, the order of operations on the virtual plant 33a may be allowed to be different from the order performed in the model operation.
  • FIG. 9 is a block diagram illustrating a configuration example of the plant operation support system 1A.
  • the plant operation support system 1A includes the model operation data creation device 2 and the simulator device 3 shown in FIG. However, since the simulator device 3 is diverted for operation support of the actual plant 5, the power plant training simulator device 33 may not be provided.
  • the actual plant operation device 4 sends time-series actual plant operation data of the plant operations performed on the actual plant 5 to the plant operation database 23 and the difference comparison unit 32. Further, the actual plant 5 sends the plant data to the plant database 24 and the difference comparison unit 32.
  • the model operation data created by the model operation data creation unit 21 based on the actual plant operation data in the plant operation database 23 and the plant data in the plant database 24. are stored in the exemplary operation database 31.
  • the difference comparison unit 32 displays information based on the actual plant operation indicating the operation for the abnormality occurring in the actual plant 5 currently performed through the actual plant operation device 4 when an abnormality occurs in the actual plant 5. get.
  • the difference comparison unit 32 outputs an exemplary operation based on the comparison result between the information based on the actual plant operation and the information based on the exemplary operation acquired from the exemplary operation data to the actual plant operating device 4.
  • the difference comparison unit 32 acquires the plant value output from the actual plant 5 by the plant operation as information based on the actual plant operation. Further, the difference comparison unit 32 acquires a plant value included in the model operation data read from the model operation database 31 based on the abnormality that has occurred in the actual plant 5 as information based on the model operation.
  • the difference comparison part 32 is the content of model operation based on model operation data with respect to the actual plant operation apparatus 4 with which plant operation with respect to the actual plant 5 is performed when the difference of the acquired plant value exceeds a predetermined threshold value. Is output to the actual plant operating device 4. For this reason, the actual plant operating device 4 can show the model operation for dealing with the abnormality to the operator. Further, the operator can operate the actual plant 5 according to the exemplary operation, and can restore the actual plant 5 to normal from the abnormality.
  • the model operation is given to the operator as a comparison result indicating that the plant operation for the actual plant 5 is different from the model operation. You may be notified.
  • the present invention is not limited to the above-described embodiments, and various other application examples and modifications can be taken without departing from the gist of the present invention described in the claims.
  • the above-described embodiments are detailed and specific configurations of the apparatus and the system in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described.
  • the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.
  • SYMBOLS 1 ... Plant operation assistance system, 2 ... Model operation data creation apparatus, 3 ... Simulator apparatus, 4 ... Actual plant operation apparatus, 5 ... Actual plant, 21 ... Model operation data creation part, 22 ... Sudden plant value scanning part, 23 ... Plant operation database, 24 ... Plant database, 31 ... Model operation database, 32 ... Difference comparison unit, 33 ... Power plant training simulator device

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Abstract

In the present invention, a model-operation-data generating device generates model operation data on the basis of plant data including time-series plant values within a period in which an abnormality has occurred in a real plant and time-series real-plant operation data indicating operations performed in the real plant. A simulator device outputs a model operation based on the result of comparison between information based on a virtual plant operation and information based on the model operation obtained from the model operation data.

Description

プラント運転支援システムPlant operation support system
　本発明は、プラント運転支援システムに関する。 The present invention relates to a plant operation support system.
　従来、発電、鉄鋼、上下水道、石油、化学等の分野の産業プラント等の運転を支援する様々な技術が提供されている。
　例えば、特許文献１には、プロセスデータの参照表示が単一のデータのみに特定されず関連する複数のプロセスデータを参照表示でき、運転員とは異なる発電プラント従事者が運転員の判断根拠となる情報を共有する技術について開示されている。 Conventionally, various technologies for supporting operation of industrial plants in fields such as power generation, steel, water and sewage, petroleum, and chemicals have been provided.
For example, in Patent Document 1, a process data reference display is not limited to a single piece of data, and a plurality of related process data can be referenced and displayed. A technology for sharing information is disclosed.
特開２０１２－１８４５５号公報JP 2012-18455 A
　発電プラントの設備（例えば、ボイラー、タービン等）において、プラントの効率低下時の改善操作や、警報発生による異常時の復旧操作等を含む、異常時に行われるプラント操作が知られている。異常時のプラント操作は、長期にわたるプラント運転の中で運転員に蓄積された経験や知識の習得、設備や機器の仕様や操作方法の熟知、シミュレーター装置等による操作教育等により、人為的に対処されることが多かった。 In plant facilities (for example, boilers, turbines, etc.), there are known plant operations that are performed in the event of an abnormality, including an improvement operation when the efficiency of the plant is reduced and a recovery operation when an abnormality occurs due to an alarm. Plant operation in the event of an abnormality is dealt with artificially by acquiring experience and knowledge accumulated by operators during long-term plant operations, familiarizing with the specifications and operation methods of facilities and equipment, and operating education using simulator devices, etc. It was often done.
　そのため、プラントを熟知した運転員の不足や、若年層への知識・技術伝承のコスト、さらにはシステムの高度化等により、長期に及ぶ人為的な対処では、運転員に対して操作方法を十分に訓練できなくなっていた。近年では、最新のＩＴ技術を活用したシミュレーター装置の導入や、運転員の負荷を軽減するための高度な運転サポートの技術開発も進んでおり、運転員を取り巻く環境は改善しつつある。 Therefore, due to the shortage of operators who are familiar with the plant, the cost of passing on knowledge and technology to younger generations, and the sophistication of the system, long-term artificial measures are sufficient for operators. I was unable to train. In recent years, the introduction of simulator devices utilizing the latest IT technology and the development of advanced driving support technology for reducing the burden on the operator are progressing, and the environment surrounding the operator is improving.
　しかし、依然として異常時にプラントの復旧操作を適切に行うためには、運転員が多くの知識と技術を有することが必要とされていた。また、プラントの効率低下や、機器の異常の原因特定についても、警報内容や関連図面の調査によって実施されたり、蓄積されたプロセスデータやオンラインの計測点データを用いた分析により実施されたりしていた。そして、理論上の分析や計算によって、効率低下の原因や機器異常の原因を導き出し、導出した原因によるプラントへの影響を回避するための操作を検討する作業が行われていた。このような作業においても、運転員は、プラント固有の知見や経験によるノウハウや技術を有することが必要であった。 However, it was still necessary for operators to have a lot of knowledge and skills in order to properly perform plant recovery operations in the event of an abnormality. In addition, plant efficiency declines and the cause of equipment malfunctions are also identified by investigation of alarm details and related drawings, or by analysis using accumulated process data and online measurement point data. It was. Then, theoretical analysis and calculation have led to the cause of efficiency reduction and the cause of equipment malfunction, and work has been conducted to examine operations for avoiding the influence of the derived cause on the plant. Even in such work, the operator needs to have know-how and technology based on plant-specific knowledge and experience.
　また、特許文献１には、通常ではないプラントの状態時に関連するプロセスデータと操作履歴の組合せによる正しい操作方法が抽出される点について開示されていなかった。このため、プラントを異常から正常に復旧させるプラント操作が困難であった。 Further, Patent Document 1 did not disclose that a correct operation method is extracted based on a combination of process data and operation history related to an unusual plant state. For this reason, it was difficult to operate the plant to restore the plant from the abnormality.
　本発明はこのような状況に鑑みて成されたものであり、例えば、異常が発生したプラントの復旧操作を正しく行えるようにすることを目的とする。 The present invention has been made in view of such a situation, and an object thereof is, for example, to be able to correctly perform a recovery operation of a plant in which an abnormality has occurred.
　本発明の第一側面に係るプラント運転支援システムは、模範操作データ作成装置とシミュレーター装置を備える。
　模範操作データ作成装置は、実プラントに発生した異常の発生期間内における時系列のプラント値を含むプラントデータ、及び、実プラントに行われた操作を示す時系列の実プラント操作データに基づいて、実プラントを異常から正常に復旧させるまでの模範操作を示す模範操作データを作成する。
　シミュレーター装置は、実プラントを仮想化した仮想プラントに対して操作が行われ、仮想プラントに発生した異常に対する操作を示す仮想プラント操作に基づく情報と、模範操作データから取得する模範操作に基づく情報との比較結果に基づく模範操作を出力する。 The plant operation support system according to the first aspect of the present invention includes an exemplary operation data creation device and a simulator device.
The model operation data creation device is based on plant data including time-series plant values within an occurrence period of an abnormality occurring in the actual plant, and time-series actual plant operation data indicating operations performed on the actual plant. Create model operation data that shows the model operation until the actual plant is restored to normal.
The simulator device is operated on a virtual plant obtained by virtualizing a real plant, information based on a virtual plant operation indicating an operation for an abnormality occurring in the virtual plant, information based on a model operation acquired from the model operation data, and The model operation based on the comparison result of is output.
　また、本発明の第二側面に係るプラント運転支援システムは、模範操作データ作成装置とシミュレーター装置を備える。
　模範操作データ作成装置は、実プラントに発生した異常の発生期間内における時系列のプラント値を含むプラントデータ、及び、実プラントに行われた操作を示す時系列の実プラント操作データに基づいて、実プラントを異常から正常に復旧させるまでの模範操作を示す模範操作データを作成する。
　シミュレーター装置は、実プラントに発生した異常に対する操作を示す実プラント操作に基づく情報と、模範操作データから取得する模範操作に基づく情報との比較結果に基づく模範操作を出力する。 A plant operation support system according to the second aspect of the present invention includes an exemplary operation data creation device and a simulator device.
The model operation data creation device is based on plant data including time-series plant values within an occurrence period of an abnormality occurring in the actual plant, and time-series actual plant operation data indicating operations performed on the actual plant. Create model operation data that shows the model operation until the actual plant is restored to normal.
The simulator device outputs an exemplary operation based on a comparison result between information based on the actual plant operation indicating an operation for an abnormality occurring in the actual plant and information based on the exemplary operation acquired from the exemplary operation data.
　本発明によれば、仮想プラントに対して運転訓練を行う仮想プラントの運転員は、仮想プラント操作に基づく情報と、模範操作に基づく情報との比較結果に基づく模範操作を行うことで、仮想プラントを異常から復旧することができる。
　また、実プラントに対して運転を行う実プラントの運転員は、実プラント操作に基づく情報と、模範操作に基づく情報との比較結果に基づく模範操作を行うことで、実プラントを異常から復旧することができる。
　上記した以外の課題、構成及び効果は、以下の実施の形態例の説明により明らかにされる。 According to the present invention, the operator of the virtual plant who performs operation training on the virtual plant performs the exemplary operation based on the comparison result between the information based on the virtual plant operation and the information based on the exemplary operation. Can be recovered from abnormalities.
In addition, an operator of the actual plant that operates the actual plant restores the actual plant from an abnormality by performing an exemplary operation based on a comparison result between information based on the actual plant operation and information based on the exemplary operation. be able to.
Problems, configurations, and effects other than those described above will be clarified by the following description of embodiments.
本発明の第１の実施の形態例に係るプラント運転支援システムの構成例を示すブロック図である。It is a block diagram which shows the structural example of the plant operation assistance system which concerns on the 1st Example of this invention. 本発明の第１の実施の形態例に係る計算機のハードウェア構成例を示すブロック図である。It is a block diagram which shows the hardware structural example of the computer which concerns on the 1st Example of this invention. 本発明の第１の実施の形態例に係るプラント操作データベースの構成例を示す説明図である。It is explanatory drawing which shows the structural example of the plant operation database which concerns on the 1st Example of this invention. 本発明の第１の実施の形態例に係るプラントデータベースの構成例を示す説明図である。It is explanatory drawing which shows the structural example of the plant database which concerns on the 1st Example of this invention. 本発明の第１の実施の形態例に係る模範操作データベースの構成例を示す説明図である。It is explanatory drawing which shows the structural example of the exemplary operation database which concerns on the 1st Example of this invention. 本発明の第１の実施の形態例に係る模範操作データ作成装置がプラント値の推移をパターン化する処理の例を示すフローチャートである。It is a flowchart which shows the example of the process which the model operation data creation apparatus which concerns on the 1st Example of this invention patterns the transition of a plant value. 本発明の第１の実施の形態例に係るシミュレーター装置が運転員の運転訓練を行う処理の例を示すフローチャートである。It is a flowchart which shows the example of the process which the simulator apparatus which concerns on the 1st Example of this invention performs a driving training of an operator. 図７のステップＳ１４にて発電所訓練シミュレーター装置に表示される運転画面の表示例を示す説明図である。It is explanatory drawing which shows the example of a display of the driving | running screen displayed on a power plant training simulator apparatus in step S14 of FIG. 本発明の第２の実施の形態例に係るプラント運転支援システムの構成例を示すブロック図である。It is a block diagram which shows the structural example of the plant operation assistance system which concerns on the 2nd Example of this invention.
　以下、本発明を実施するための形態例について、添付図面を参照して説明する。本明細書及び図面において、実質的に同一の機能又は構成を有する構成要素については、同一の符号を付することにより重複する説明を省略する。 Hereinafter, embodiments for carrying out the present invention will be described with reference to the accompanying drawings. In the present specification and drawings, components having substantially the same function or configuration are denoted by the same reference numerals, and redundant description is omitted.
［第１の実施の形態例］
　始めに、本発明の第１の実施の形態例に係るプラント運転支援システムについて説明する。
　図１は、プラント運転支援システム１の構成例を示すブロック図である。 [First Embodiment]
First, the plant operation support system according to the first embodiment of the present invention will be described.
FIG. 1 is a block diagram illustrating a configuration example of the plant operation support system 1.
　プラント運転支援システム１は、模範操作データ作成装置２とシミュレーター装置３を備える。
　模範操作データ作成装置２には、実運用されている実プラント５に対して様々な操作が行われる実プラント操作装置４と、実プラント操作装置４に対するプラント操作に伴って各種のプラント値を出力する実プラント５が接続される。 The plant operation support system 1 includes an exemplary operation data creation device 2 and a simulator device 3.
The model operation data creation device 2 outputs an actual plant operation device 4 that performs various operations on the actual plant 5 that is actually operated, and outputs various plant values along with the plant operation on the actual plant operation device 4. The actual plant 5 to be connected is connected.
　模範操作データ作成装置２は、模範操作データ作成部２１、突変プラント値走査部２２、プラント操作データベース２３、プラントデータベース２４を備える。模範操作データ作成装置２は、実プラント５を異常から正常に復旧させるまでの模範操作を示す模範操作データを作成する。模範操作データの作成は、実プラント５に発生した異常の発生期間内における時系列のプラント値を含むプラントデータ（プロセスデータ）、及び、実プラント５に行われた操作を示す時系列の実プラント操作データに基づいて行われる。 The exemplary operation data creation device 2 includes an exemplary operation data creation unit 21, a sudden change plant value scanning unit 22, a plant operation database 23, and a plant database 24. The model operation data creation device 2 creates model operation data indicating a model operation until the actual plant 5 is normally recovered from an abnormality. The creation of the model operation data includes plant data (process data) including time-series plant values within the period of occurrence of an abnormality occurring in the actual plant 5, and a time-series actual plant indicating operations performed on the actual plant 5. Performed based on operation data.
　プラント操作データベース２３は、運転員が実プラント操作装置４を通じて実プラント５に行った時系列の実プラント操作データを操作履歴として記録する。
　プラントデータベース２４は、実プラント５が出力する時系列のプラントデータを記録する。 The plant operation database 23 records time-series actual plant operation data performed by the operator on the actual plant 5 through the actual plant operation device 4 as an operation history.
The plant database 24 records time-series plant data output from the actual plant 5.
　突変プラント値走査部２２は、実プラント５に突変等の異常が発生したときに、実プラント５に発生した異常が正常に戻るまでの異常の発生期間におけるプラント値をプラントデータベース２４から走査する。突変とは、例えば、任意のプラント値（タービン回転率等）のある短期間での変化率が閾値を越えることである。走査対象となる異常の定義はユーザが決定することができる。例えば、実プラント５に重故障が発生したことを異常と定義することができる。そして、突変プラント値走査部２２は、任意の警報が発報した原因である異常の発生地点、又は任意のプラント値が突変してから、再び正常値に戻るまでの期間（「走査期間」と呼ぶ）をプラントデータベース２４から走査する。 The sudden change plant value scanning unit 22 scans, from the plant database 24, a plant value in an abnormality occurrence period until an abnormality occurring in the actual plant 5 returns to normal when an abnormality such as sudden change occurs in the actual plant 5. To do. The sudden change is, for example, that a change rate in a short period of an arbitrary plant value (turbine rotation rate or the like) exceeds a threshold value. The user can determine the definition of the abnormality to be scanned. For example, the occurrence of a serious failure in the actual plant 5 can be defined as an abnormality. Then, the sudden change plant value scanning unit 22 performs a period (“scanning period”) from the occurrence of an abnormality, which is the cause of the occurrence of an arbitrary alarm, or the time when an arbitrary plant value suddenly changes to the normal value again. Is scanned from the plant database 24.
　模範操作データ作成部２１は、突変プラント値走査部２２が走査期間にプラントデータベース２４から走査した突変と、突変時のプラント値とを取得し、プラント操作データベース２３から突変時の実プラント操作データを取得する。このとき取得される実プラント操作データは、例えば、弁遮断等のプラント操作を示すものである。次に、模範操作データ作成部２１は、取得した実プラント操作データと、突変プラント値走査部２２が取得した突変及びプラント値とを含む模範操作データを作成する。この模範操作データは、異常に対処するために行われたプラント操作を模範操作としてパターン化したものである。そして、模範操作データ作成部２１は、作成した模範操作データをシミュレーター装置３が備える模範操作データベース３１に登録する。 The model operation data creation unit 21 acquires the sudden change that the sudden change plant value scanning unit 22 scanned from the plant database 24 in the scanning period and the plant value at the sudden change, and the actual operation at the time of the sudden change from the plant operation database 23. Acquire plant operation data. The actual plant operation data acquired at this time indicates plant operations such as valve shut-off, for example. Next, the model operation data creation unit 21 creates model operation data including the acquired actual plant operation data and the sudden change and plant value obtained by the sudden change plant value scanning unit 22. This model operation data is obtained by patterning a plant operation performed to cope with an abnormality as a model operation. Then, the model operation data creation unit 21 registers the created model operation data in the model operation database 31 provided in the simulator device 3.
　シミュレーター装置３は、模範操作データベース３１、差分比較部３２、発電所訓練シミュレーター装置３３を備える。シミュレーター装置３は、仮想プラント３３ａに対して操作が行われ、仮想プラント３３ａに発生した異常に対する操作を示す仮想プラント操作に基づく情報と、模範操作データから取得する模範操作に基づく情報との比較結果に基づく模範操作を出力する。なお、発電所訓練シミュレーター装置３３には、実プラント５（発電所）の動作を仮想プラント３３ａの動作としてシミュレーションするためのプログラムが実装されており、そのプログラムが実行されることにより、仮想プラント３３ａの動作が再現される。 The simulator device 3 includes an exemplary operation database 31, a difference comparison unit 32, and a power plant training simulator device 33. The simulator device 3 is operated on the virtual plant 33a, and the comparison result between the information based on the virtual plant operation indicating the operation for the abnormality occurring in the virtual plant 33a and the information based on the model operation acquired from the model operation data. Outputs an example operation based on. The power plant training simulator device 33 is equipped with a program for simulating the operation of the actual plant 5 (power plant) as the operation of the virtual plant 33a, and the virtual plant 33a is executed by executing the program. Is reproduced.
　模範操作データベース３１は、模範操作データ作成部２１によって登録された模範操作データを記録する。
　差分比較部３２は、仮想プラント３３ａに設定された異常に対して模範操作データベース３１から読出したプラント値と、訓練操作によって仮想プラント３３ａから出力されるプラント値との差分を所定の閾値と比較する。そして、差分比較部３２は、プラント値の差分が閾値を超える場合に、模範操作データに基づく模範操作を発電所訓練シミュレーター装置３３に出力させる。 The exemplary operation database 31 records exemplary operation data registered by the exemplary operation data creating unit 21.
The difference comparison unit 32 compares the difference between the plant value read from the model operation database 31 for the abnormality set in the virtual plant 33a and the plant value output from the virtual plant 33a by the training operation with a predetermined threshold value. . And the difference comparison part 32 makes the power plant training simulator apparatus 33 output model operation based on model operation data, when the difference of a plant value exceeds a threshold value.
　発電所訓練シミュレーター装置３３（訓練操作部の一例）は、例えば、実プラント５が発電所である場合に、この発電所に発生した異常に対処するための運転訓練を運転員に行わせる。このため、運転員は、発電所訓練シミュレーター装置３３を用いて、実プラント５を仮想化した仮想プラント３３ａに対する訓練操作を行う。仮想プラント３３ａは、発電所訓練シミュレーター装置３３に構成される仮想的なプラントであり、仮想プラント３３ａに対する操作は、実プラント５と同様に行うことが可能である。また、仮想プラント３３ａは、実プラント５と同様のプラント値を出力する。 For example, when the actual plant 5 is a power plant, the power plant training simulator device 33 (an example of a training operation unit) causes the operator to perform a driving training for dealing with an abnormality occurring in the power plant. For this reason, the operator uses the power plant training simulator device 33 to perform a training operation on the virtual plant 33a in which the actual plant 5 is virtualized. The virtual plant 33 a is a virtual plant configured in the power plant training simulator device 33, and operations on the virtual plant 33 a can be performed in the same manner as the actual plant 5. The virtual plant 33a outputs the same plant value as that of the actual plant 5.
　そして、発電所訓練シミュレーター装置３３は、運転訓練により仮想プラント３３ａに対して行われたプラント操作を示す仮想プラント操作データを差分比較部３２に出力し、差分比較部３２から入力した操作結果を表示部Ｃ５（後述する図２を参照）に表示する。この運転訓練では、仮想プラント３３ａに任意の異常を発生させることができる。運転員は、発電所訓練シミュレーター装置３３を操作することで、仮想プラント３３ａに発生した異常への対処を訓練することができる。 And the power plant training simulator apparatus 33 outputs the virtual plant operation data which shows the plant operation performed with respect to the virtual plant 33a by operation training to the difference comparison part 32, and displays the operation result input from the difference comparison part 32 This is displayed on the part C5 (see FIG. 2 described later). In this operation training, any abnormality can be generated in the virtual plant 33a. The operator can train to cope with the abnormality that has occurred in the virtual plant 33a by operating the power plant training simulator device 33.
　なお、シミュレーター装置３は、実プラント５が発電所以外のプラント（例えば、化学プラント）である場合には、発電所訓練シミュレーター装置３３を化学プラント用のシミュレーター装置に置き換えて、運転員に運転訓練を行わせることもできる。 When the actual plant 5 is a plant other than a power plant (for example, a chemical plant), the simulator device 3 replaces the power plant training simulator device 33 with a simulator device for a chemical plant to perform operation training for the operator. Can also be performed.
　次に、プラント運転支援システム１の各装置を構成する計算機Ｃのハードウェア構成を説明する。
　図２は、計算機Ｃのハードウェア構成例を示すブロック図である。 Next, the hardware configuration of the computer C configuring each device of the plant operation support system 1 will be described.
FIG. 2 is a block diagram illustrating a hardware configuration example of the computer C.
　計算機Ｃは、いわゆるコンピュータとして用いられるハードウェアである。計算機Ｃは、バスＣ４にそれぞれ接続されたＣＰＵ（Central Processing Unit：中央処理装置）Ｃ１、ＲＯＭ（Read Only Memory）Ｃ２、ＲＡＭ（Random Access Memory）Ｃ３を備える。さらに、計算機Ｃは、表示部Ｃ５、操作部Ｃ６、不揮発性ストレージＣ７、ネットワークインタフェースＣ８を備える。 The computer C is hardware used as a so-called computer. The computer C includes a CPU (Central Processing Unit) C1, a ROM (Read Only Memory) C2, and a RAM (Random Access Memory) C3 respectively connected to the bus C4. Further, the computer C includes a display unit C5, an operation unit C6, a nonvolatile storage C7, and a network interface C8.
　ＣＰＵ Ｃ１は、本実施の形態例に係る各機能を実現するソフトウェアのプログラムコードをＲＯＭ Ｃ２から読み出して実行する。ＲＡＭ Ｃ３には、演算処理の途中に発生した変数やパラメータ等が一時的に書き込まれる。表示部Ｃ５は、例えば、液晶ディスプレイモニタであり、計算機Ｃで行われる処理の結果等をユーザに表示する。操作部Ｃ６には、例えば、キーボード、マウス等が用いられ、ユーザが所定の操作入力、指示を行うことが可能である。図１に示した実プラント操作装置４は、表示部Ｃ５と操作部Ｃ６を備えており、運転員に実プラント５の状態を表示し、この運転員からの操作入力を受け付ける。同様に、発電所訓練シミュレーター装置３３も表示部Ｃ５と操作部Ｃ６を備えており、仮想プラント３３ａの運転訓練を行う運転員に仮想プラント３３ａの状態を表示し、この運転員からの操作入力を受け付ける。なお、模範操作データ作成装置２は、表示部Ｃ５と操作部Ｃ６を備えなくてよく、発電所訓練シミュレーター装置３３を除くシミュレーター装置３も表示部Ｃ５と操作部Ｃ６を備えなくてよい。 The CPU C1 reads the program code of software that realizes each function according to the present embodiment from the ROM C2, and executes it. In the RAM C3, variables, parameters and the like generated during the arithmetic processing are temporarily written. The display unit C5 is, for example, a liquid crystal display monitor, and displays a result of processing performed by the computer C to the user. For example, a keyboard, a mouse, or the like is used for the operation unit C6, and a user can perform predetermined operation inputs and instructions. The actual plant operating device 4 shown in FIG. 1 includes a display unit C5 and an operating unit C6, displays the state of the actual plant 5 to the operator, and accepts an operation input from the operator. Similarly, the power plant training simulator device 33 also includes a display unit C5 and an operation unit C6, displays the state of the virtual plant 33a to the operator who performs the operation training of the virtual plant 33a, and receives an operation input from the operator. Accept. The model operation data creation device 2 may not include the display unit C5 and the operation unit C6, and the simulator device 3 other than the power plant training simulator device 33 may not include the display unit C5 and the operation unit C6.
　不揮発性ストレージＣ７としては、例えば、ＨＤＤ（Hard disk drive）、ＳＳＤ（Solid State Drive）、フレキシブルディスク、光ディスク、光磁気ディスク、ＣＤ－ＲＯＭ、ＣＤ－Ｒ、磁気テープ、不揮発性のメモリ等が用いられる。この不揮発性ストレージＣ７には、ＯＳ（Operating System）、各種のパラメータの他に、計算機Ｃを機能させるためのプログラムが記録されている。不揮発性ストレージＣ７は、ＣＰＵ Ｃ１によって実行されるプログラムを格納したコンピュータ読取可能な非一過性の記録媒体の一例として用いられる。このため、不揮発性ストレージＣ７には、このプログラムが永続的に格納される。プラント操作データベース２３、プラントデータベース２４、模範操作データベース３１は、不揮発性ストレージＣ７内に構築されている。 As the non-volatile storage C7, for example, HDD (Hard disk drive), SSD (Solid State Drive), flexible disk, optical disk, magneto-optical disk, CD-ROM, CD-R, magnetic tape, nonvolatile memory, etc. are used. It is done. In addition to the OS (Operating System) and various parameters, a program for causing the computer C to function is recorded in the nonvolatile storage C7. The nonvolatile storage C7 is used as an example of a computer-readable non-transitory recording medium that stores a program executed by the CPU C1. For this reason, this program is permanently stored in the non-volatile storage C7. The plant operation database 23, the plant database 24, and the model operation database 31 are constructed in the nonvolatile storage C7.
　ネットワークインタフェースＣ８には、例えば、ＮＩＣ（Network Interface Card）等が用いられ、端子が接続されたＬＡＮ（Local Area Network）、専用線等を介して各種のデータを送受信することが可能である。 As the network interface C8, for example, a NIC (Network Interface Card) or the like is used, and various data can be transmitted / received via a LAN (Local Area Network) connected to a terminal, a dedicated line, or the like.
　次に、各データベースの構成例について、図３～図５を参照して説明する。 Next, configuration examples of each database will be described with reference to FIGS.
　図３は、プラント操作データベース２３の構成例を示す説明図である。
　プラント操作データベース２３は、日付時刻と操作の各フィールドを有する。
　時刻フィールドには、実プラント操作装置４によって実プラント５に対する操作が行われたときの日付時刻が格納される。この例では、６月１日０時０分０秒から計時が開始される。図３より、例えば、「ＸＸＸ実行」のプラント操作が行われた日付時刻が６月１日０時０分１秒であることが示される。 FIG. 3 is an explanatory diagram showing a configuration example of the plant operation database 23.
The plant operation database 23 has fields of date time and operation.
In the time field, the date and time when the actual plant 5 is operated by the actual plant operating device 4 is stored. In this example, the clocking starts from 00:00 on June 1st. From FIG. 3, for example, it is indicated that the date and time when the plant operation of “XXX execution” is performed is June 1 at 0: 0: 01.
　図４は、プラントデータベース２４の構成例を示す説明図である。
　プラントデータベース２４は、ＩＤ、信号種別、名称、時刻の各フィールドを有する。
　ＩＤフィールドには、実プラント５から出力されるプラントデータを一意に識別するためのＩＤ（データ識別子の一例）が格納される。
　信号種別フィールドには、プラントデータの種別として、アナログ又はディジタルのいずれが格納される。
　名称フィールドには、プラントデータの名称が格納される。
　時刻フィールドには、時刻が０時０分０秒から１秒毎にプラントデータのプラント値が格納される。例えば、６月１日０時０分０秒では、ＸＸＸ温度の値が１０℃であるが、０時０分２秒では、ＸＸＸ温度の値が１１℃に上がったことが示される。 FIG. 4 is an explanatory diagram showing a configuration example of the plant database 24.
The plant database 24 has fields of ID, signal type, name, and time.
In the ID field, an ID (an example of a data identifier) for uniquely identifying plant data output from the actual plant 5 is stored.
The signal type field stores either analog or digital as the type of plant data.
The name field stores the name of plant data.
In the time field, the plant value of the plant data is stored every 1 second from 0: 0: 0. For example, the value of the XXX temperature is 10 ° C. at 0: 0: 0 on June 1, but the value of the XXX temperature is increased to 11 ° C. at 0: 0: 2 seconds.
　図５は、模範操作データベース３１の構成例を示す説明図である。
　模範操作データベース３１は、実プラント５に発生した異常毎にテーブルを有している。この模範操作データベース３１は、経過時間、操作又は状態変化の各フィールドを有する。
　経過時間フィールドには、実プラント５にプラント操作が行われ、又は実プラント５の状態が変化したときの時間が計時されて格納される。この例では、実プラント５に異常が発生した時点を０時０分０秒として計時が開始される。 FIG. 5 is an explanatory diagram illustrating a configuration example of the exemplary operation database 31.
The exemplary operation database 31 has a table for each abnormality occurring in the actual plant 5. The exemplary operation database 31 includes fields for elapsed time, operation, and state change.
In the elapsed time field, the time when the plant operation is performed on the actual plant 5 or the state of the actual plant 5 changes is counted and stored. In this example, time measurement is started by setting the time when an abnormality has occurred in the actual plant 5 as 0: 0: 0.
　操作又は状態変化フィールドには、実プラント５に行われた操作、又は実プラント５の状態変化の内容が格納される。例えば、「ＸＸＸＸ異常」が発生（ＯＮ）した後、３０秒後に「ＹＹＹＹ」操作が実行され、さらに異常発生から１分後に、実プラント５を構成する機器「ＺＺＺＺ」の温度がＡＡ℃からＢＢ℃に変化したことが示される。そして、異常発生から３分後には、「ＸＸＸＸ異常」が収束（ＯＦＦ）したことが示される。このとき、実プラント５は、異常から正常に復旧している。 In the operation or state change field, the operation performed on the actual plant 5 or the contents of the state change of the actual plant 5 is stored. For example, after “XXXX abnormality” occurs (ON), “YYYY” operation is executed 30 seconds later, and one minute after the abnormality occurs, the temperature of the device “ZZZ” constituting the actual plant 5 changes from AA ° C. to BB It is shown that it has changed to ° C. Then, 3 minutes after the occurrence of the abnormality, it is indicated that “XXXXXX abnormality” has converged (OFF). At this time, the actual plant 5 has recovered normally from the abnormality.
　次に、プラント運転支援システム１が備える各装置の動作例について、図６と図７を参照して説明する。
　図６は、模範操作データ作成装置２がプラント操作とプラント値の推移をパターン化する処理の例を示すフローチャートである。 Next, an operation example of each device provided in the plant operation support system 1 will be described with reference to FIGS. 6 and 7.
FIG. 6 is a flowchart illustrating an example of processing in which the model operation data creation device 2 patterns plant operations and plant value transitions.
　始めに、突変プラント値走査部２２は、プラントデータベース２４より時系列のプラントデータを走査し（Ｓ１）、実プラント５に異常が発生したか否かを判定する（Ｓ２）。実プラント５に異常が発生していなければ（Ｓ２のＮＯ）、突変プラント値走査部２２は、Ｓ１に戻ってプラントデータの走査を続ける。 First, the sudden change plant value scanning unit 22 scans time-series plant data from the plant database 24 (S1), and determines whether or not an abnormality has occurred in the actual plant 5 (S2). If no abnormality has occurred in the actual plant 5 (NO in S2), the sudden change plant value scanning unit 22 returns to S1 and continues scanning the plant data.
　一方、実プラント５に異常が発生していれば（Ｓ２のＹＥＳ）、突変プラント値走査部２２は、実プラント５に異常が発生してから正常に戻るまでの走査期間をプラントデータベース２４より走査する（Ｓ３）。 On the other hand, if an abnormality has occurred in the actual plant 5 (YES in S2), the sudden change plant value scanning unit 22 determines a scanning period from the occurrence of the abnormality in the actual plant 5 until it returns to normal from the plant database 24. Scan (S3).
　そして、突変プラント値走査部２２は、走査期間に実プラント操作装置４によって行われた操作の実プラント操作データをプラント操作データベース２３から走査し（Ｓ４）、走査期間に変化したプラント値をプラントデータベース２４から走査する（Ｓ５）。プラント値の変化の定義はユーザが決定することができる。例えば、実プラント５に異常が発生してから正常に戻るまでの期間において、アナログ値の差分や変化率が閾値を超える等をプラント値の変化と定義することができる。 Then, the sudden change plant value scanning unit 22 scans the actual plant operation data of the operation performed by the actual plant operation device 4 during the scanning period from the plant operation database 23 (S4), and the plant value changed during the scanning period is converted into the plant value. Scan from the database 24 (S5). The definition of the change of the plant value can be determined by the user. For example, in a period from when an abnormality occurs in the actual plant 5 to when it returns to normal, a difference in analog value or a change rate exceeding a threshold value can be defined as a change in plant value.
　その後、模範操作データ作成部２１は、走査された実プラント５に対するプラント操作（実プラント操作データ）と、プラントデータのプラント値の推移とをパターン化した模範操作データとして作成する。そして、模範操作データ作成部２１は、この模範操作データを模範操作データベース３１に登録する（Ｓ６）。このようにステップＳ３～Ｓ６までの処理を、模範操作としてパターン化する処理と呼ぶ。 Thereafter, the model operation data creating unit 21 creates model operation data in which the plant operation (actual plant operation data) for the scanned actual plant 5 and the transition of the plant value of the plant data are patterned. Then, the model operation data creation unit 21 registers this model operation data in the model operation database 31 (S6). The process from step S3 to S6 is called a patterning process as an exemplary operation.
　次に、突変プラント値走査部２２は、他にプラントデータがプラントデータベース２４にあるか否かを判定する（Ｓ７）。他にプラントデータがあれば（Ｓ７のＹＥＳ）、突変プラント値走査部２２は、Ｓ１に戻って処理を繰り返す。他にプラントデータがなければ（Ｓ７のＮＯ）、突変プラント値走査部２２は、本処理を終了する。 Next, the sudden change plant value scanning unit 22 determines whether there is any other plant data in the plant database 24 (S7). If there is other plant data (YES in S7), the sudden change plant value scanning unit 22 returns to S1 and repeats the process. If there is no other plant data (NO in S7), the sudden change plant value scanning unit 22 ends this process.
　図７は、シミュレーター装置３が運転員の運転訓練を行う処理の例を示すフローチャートである。ここでは、実プラント５の異常に対する運転訓練として、運転員が発電所訓練シミュレーター装置３３を操作しており、シミュレーター装置３は、仮想プラント３３ａに対するプラント操作が適切に行われているか判定する。 FIG. 7 is a flowchart showing an example of processing in which the simulator device 3 performs driving training for the operator. Here, as an operation training for an abnormality in the actual plant 5, an operator operates the power plant training simulator device 33, and the simulator device 3 determines whether the plant operation for the virtual plant 33a is appropriately performed.
　始めに、発電所訓練シミュレーター装置３３は、仮想プラント３３ａにおいてイベントを実行する（Ｓ１１）。このイベントは、例えば、指導員が実プラント５に想定される異常を仮想プラント３３ａに発生させたものである。 First, the power plant training simulator device 33 executes an event in the virtual plant 33a (S11). In this event, for example, an instructor causes an abnormality assumed in the actual plant 5 to occur in the virtual plant 33a.
　次に、差分比較部３２は、発電所訓練シミュレーター装置３３により実行されたイベントと同じイベントが実プラント５に発生したときに行われた模範操作により模範操作データベース３１に格納された実プラント５のプラント値を取得する。そして、差分比較部３２は、発電所訓練シミュレーター装置３３が出力した仮想プラント３３ａのプラント値の推移と、模範操作データベース３１から取得したパターン化された実プラント５のプラント値の推移との差分を求め、差分を所定値と比較する（Ｓ１２）。差分と比較される所定値は、プラント値の信号種別がアナログかディジタルかで異なる。 Next, the difference comparison unit 32 stores the actual plant 5 stored in the exemplary operation database 31 by the exemplary operation performed when the same event as the event executed by the power plant training simulator device 33 occurs in the actual plant 5. Get the plant value. Then, the difference comparison unit 32 calculates the difference between the transition of the plant value of the virtual plant 33 a output from the power plant training simulator device 33 and the transition of the plant value of the patterned actual plant 5 acquired from the exemplary operation database 31. The difference is obtained and compared with a predetermined value (S12). The predetermined value compared with the difference differs depending on whether the signal type of the plant value is analog or digital.
　プラント値の信号種別がアナログであれば、差分比較部３２は、差分が所定の閾値以上であるか否かを判定する。プラント値の信号種別がディジタルであれば、差分比較部３２は、仮想プラント３３ａのプラント値のＯＮ又はＯＦＦが、模範操作データベース３１のプラント値のＯＮ又はＯＦＦと異なってから一定時間を経過したか否かを判定する（Ｓ１３）。プラント値がアナログである場合に差分と比較される閾値と、プラント値がディジタルである場合に判定される一定時間は、いずれもユーザによって定義される。 If the signal type of the plant value is analog, the difference comparison unit 32 determines whether or not the difference is greater than or equal to a predetermined threshold value. If the signal type of the plant value is digital, the difference comparison unit 32 has passed a certain time since the ON or OFF of the plant value of the virtual plant 33a is different from the ON or OFF of the plant value of the exemplary operation database 31. It is determined whether or not (S13). The threshold value that is compared with the difference when the plant value is analog and the fixed time that is determined when the plant value is digital are both defined by the user.
　差分が所定の閾値以上でない場合、又は、仮想プラント３３ａのプラント値のＯＮ又はＯＦＦが模範操作データベース３１のプラント値のＯＮ又はＯＦＦと異なってから一定時間を経過していない場合（Ｓ１３のＮＯ）、差分比較部３２は、ステップＳ１２に戻って処理を続ける。 When the difference is not greater than or equal to a predetermined threshold, or when a certain time has not elapsed since the plant value ON or OFF of the virtual plant 33a is different from the plant value ON or OFF of the model operation database 31 (NO in S13). The difference comparison unit 32 returns to Step S12 and continues the process.
　一方、差分が所定の閾値以上である場合、又は、仮想プラント３３ａのプラント値のＯＮ又はＯＦＦが模範操作データベース３１のプラント値のＯＮ又はＯＦＦと異なってから一定時間を経過した場合（Ｓ１３のＹＥＳ）、運転員が仮想プラント３３ａに対するプラント操作を誤っていると考えられる。このため、発電所訓練シミュレーター装置３３は、差分比較部３２が模範操作データベース３１から読出して出力する、パターン化された正しいプラント操作を模範操作として表示する（Ｓ１４）。これにより運転員は模範操作に従ったプラント操作を行うことが可能となる。 On the other hand, when the difference is greater than or equal to a predetermined threshold, or when a certain time has elapsed since the plant value ON or OFF of the virtual plant 33a is different from the plant value ON or OFF of the model operation database 31 (YES in S13). It is considered that the operator has made a mistake in the plant operation for the virtual plant 33a. Therefore, the power plant training simulator device 33 displays the patterned correct plant operation that the difference comparison unit 32 reads and outputs from the model operation database 31 as the model operation (S14). Thereby, the operator can perform the plant operation according to the model operation.
　そして、発電所訓練シミュレーター装置３３は、イベントが終了したか否かを判定する（Ｓ１５）。イベントが終了していなければ（Ｓ１５のＮＯ）、差分比較部３２は、ステップＳ１２に戻って、仮想プラント３３ａの異常が正常に戻るまでプラント値の差分の比較を続ける。イベントが終了していれば（Ｓ１５のＹＥＳ）、差分比較部３２は、本処理を終了する。 Then, the power plant training simulator device 33 determines whether or not the event has ended (S15). If the event has not ended (NO in S15), the difference comparison unit 32 returns to step S12 and continues to compare the difference between the plant values until the abnormality of the virtual plant 33a returns to normal. If the event has ended (YES in S15), the difference comparison unit 32 ends this process.
　図８は、図７のステップＳ１４にて発電所訓練シミュレーター装置３３に表示される運転画面の表示例を示す説明図である。 FIG. 8 is an explanatory diagram showing a display example of the operation screen displayed on the power plant training simulator device 33 in step S14 of FIG.
　運転員は、発電所訓練シミュレーター装置３３を操作中に発生したイベントの「ＸＸＸＸ異常」に対応するための運転訓練を行っているとする。ここで、運転員がプラント操作を誤ったことにより、発電所訓練シミュレーター装置３３が出力するプラント値である「ＺＺＺＺ温度」が、模範操作データベース３１に格納されるプラント値である「ＺＺＺＺ温度」と差分が発生したとする。このとき、発電所訓練シミュレーター装置３３の表示画面に含まれる情報表示領域Ｄ１には、差分の発生を示す警報と共に、イベント名と差分が発生したプラント値、基準値、現在値、プラント値のグラフが表示される。 Suppose that the operator is performing driving training for responding to an “XXXX abnormality” of an event that occurred during operation of the power plant training simulator device 33. Here, “ZZZZ temperature”, which is a plant value output from the power plant training simulator device 33 due to an operator's mistake in plant operation, is “ZZZZ temperature”, which is a plant value stored in the exemplary operation database 31. Assume that a difference has occurred. At this time, in the information display area D1 included in the display screen of the power plant training simulator device 33, together with an alarm indicating the occurrence of the difference, a graph of the event name and the plant value, the reference value, the current value, and the plant value where the difference has occurred. Is displayed.
　プラント値のグラフには、破線で示されるプラントの温度推移を示す基準値と、実線で示される仮想プラント３３ａの温度推移を示す現在値とが表示される。ここで、現在時刻における温度の現在値と基準値との差分Ｄ２は、例えば、（ＢＢ－ＡＡ）℃である。温度の種別はアナログであるため、差分Ｄ２が閾値と比較される。 The plant value graph displays a reference value indicating the temperature transition of the plant indicated by a broken line and a current value indicating the temperature transition of the virtual plant 33a indicated by a solid line. Here, the difference D2 between the current temperature value and the reference value at the current time is, for example, (BB−AA) ° C. Since the type of temperature is analog, the difference D2 is compared with a threshold value.
　その結果、差分Ｄ２が閾値以上であれば、模範操作を運転員に通知するための操作通知領域Ｄ３が表示される。操作通知領域Ｄ３には、例えば、所定の時間に模範操作を行うことが示される。このため、運転員は、再び同じ異常を発生させた仮想プラント３３ａに対して、操作通知領域Ｄ３に表示された正しい模範操作を行うことで、仮想プラント３３ａに発生した異常を正常に復旧させる運転訓練を行うことが可能である。なお、模範操作が、仮想プラント３３ａの温度を基準値に戻すためのプラント操作である場合、運転員は、異常が発生した仮想プラント３３ａの温度の差分Ｄ２が閾値未満となるように仮想プラント３３ａを操作する運転訓練を行うことも可能である。 As a result, if the difference D2 is greater than or equal to the threshold value, an operation notification area D3 for notifying the driver of the model operation is displayed. The operation notification area D3 indicates, for example, that an exemplary operation is performed at a predetermined time. For this reason, the operator performs a correct exemplary operation displayed in the operation notification area D3 on the virtual plant 33a in which the same abnormality has occurred again, so that the abnormality that has occurred in the virtual plant 33a can be recovered normally. Training is possible. When the exemplary operation is a plant operation for returning the temperature of the virtual plant 33a to the reference value, the operator can set the virtual plant 33a so that the temperature difference D2 of the virtual plant 33a in which an abnormality has occurred is less than the threshold value. It is also possible to perform driving training to operate the.
　以上説明した第１の実施の形態例に係るプラント運転支援システム１では、実プラント５のプラントデータと操作履歴を蓄積し、関連性をパターン化しておく。そして、運転訓練の際には、仮想プラント３３ａの効率低下や異常等が発生した特殊な状況においても正しい操作のパターンを効果的に運転員に提示することができる。 In the plant operation support system 1 according to the first embodiment described above, the plant data and operation history of the actual plant 5 are accumulated and the relevance is patterned. In the driving training, a correct operation pattern can be effectively presented to the operator even in a special situation where the efficiency reduction or abnormality of the virtual plant 33a occurs.
　従来は、プラント運転の正しい操作を実現するためには、プラントの物理的な仕様、入出力データ、運転条件、劣化状況、環境条件、ノイズ等様々な情報の影響を考慮することが必要である。また、異常の分析結果から影響しているファクターを特定することも必要である。さらに、その影響しているファクターを取り除く対策を導出するには、さらに多くのプラントデータや設計図書、保守データ、設備データが必要となる。異常時の運転支援については、かねてより高いニーズがあるにも関わらず、運転員に対する効果的な支援が困難であった。そこで、本実施の形態例に係るプラント運転支援システム１は、知識や経験によるノウハウで補間されていた異常時のプラント操作に対する限界点を克服し、精度の高いプラント操作とその対応を支援するための技術を運転員に提供することができる。 Conventionally, in order to realize the correct operation of plant operation, it is necessary to consider the influence of various information such as plant physical specifications, input / output data, operating conditions, deterioration status, environmental conditions, noise, etc. . It is also necessary to identify the influential factors from the analysis results of abnormalities. Furthermore, more plant data, design books, maintenance data, and equipment data are required to derive measures to remove the influential factors. As for driving support in the event of an abnormality, effective support for the operator has been difficult despite the high needs. Therefore, the plant operation support system 1 according to the present embodiment overcomes the limit points for the plant operation at the time of abnormality that has been interpolated by knowledge and know-how based on experience, and supports high-accuracy plant operation and its response. Technology can be provided to operators.
　具体的には、模範操作データ作成装置２が異常発生時のプラント操作とプラント値の推移を実プラント５のプラントデータより自動抽出し、模範操作としてパターン化することで、熟練の運転員による実プラント５の運転ノウハウを蓄積する。この運転ノウハウを、シミュレーター装置３が活用することで、指導員による指導方法の揺れを防ぎ、質の高い運転訓練を実施することが可能となる。このため、シミュレーター装置３は、従来の経験によるノウハウや知見では限界のある、互いに関連する膨大なプラントデータや各種条件を入力として利用し、リアルタイムで高精度の運転支援を行うことが可能となる。 Specifically, the model operation data creation device 2 automatically extracts the plant operation and the transition of the plant value when an abnormality occurs from the plant data of the actual plant 5 and patterns it as a model operation. Accumulate operational know-how of plant 5. By utilizing this driving know-how by the simulator device 3, it is possible to prevent shaking of the teaching method by the instructor and implement high-quality driving training. For this reason, the simulator device 3 can use a huge amount of plant data and various conditions related to each other, which are limited by know-how and knowledge based on conventional experience, as inputs, and can provide high-precision driving support in real time. .
　また、シミュレーター装置３は、異常の分析結果に基づいて、実プラント５の性能低下や異常の原因となるプラントデータや条件値を特定し、その適切な対処法も含めて運転員に適宜提供することが可能となる。これにより、従来は時間を要していた異常時のプラント操作の判断を、現在のプラント状態や環境状況、運転状態に即して短時間で実施することが可能となり、従来よりも効率的なプラント運転を実現することができる。 In addition, the simulator device 3 identifies plant data and condition values that cause the performance degradation or abnormality of the actual plant 5 based on the analysis result of the abnormality, and appropriately provides the operator with the appropriate countermeasures. It becomes possible. This makes it possible to make decisions on plant operations in the event of abnormalities, which previously required time, in a short time according to the current plant status, environmental conditions, and operating conditions, which is more efficient than before. Plant operation can be realized.
　なお、差分比較部３２は、プラント値の差分ではなく、模範操作データと仮想プラント操作データの差分を比較してもよい。例えば、差分比較部３２は、仮想プラント３３ａに異常が発生した場合に模範操作データと、運転員が発電所訓練シミュレーター装置３３を用いて訓練操作を行った仮想プラント操作データとを比較し、プラント操作の差分を求める。そして、発電所訓練シミュレーター装置３３は、模範操作データと仮想プラント操作データとで差分が発生した場合には、仮想プラント３３ａに対するプラント操作が模範操作と異なることを示す比較結果として模範操作を運転員に通知する。これにより、運転員に操作の誤りを認識させ、模範操作を習得させることもできる。 Note that the difference comparison unit 32 may compare the difference between the model operation data and the virtual plant operation data instead of the difference between the plant values. For example, the difference comparison unit 32 compares the model operation data when the abnormality occurs in the virtual plant 33a with the virtual plant operation data that the operator has performed the training operation using the power plant training simulator device 33, and the plant Find the operation difference. Then, when a difference occurs between the model operation data and the virtual plant operation data, the power plant training simulator device 33 uses the model operation as a comparison result indicating that the plant operation for the virtual plant 33a is different from the model operation. Notify Thereby, an operator can be made to recognize the mistake of operation and it can also be made to master model operation.
　ここで、プラント操作の差分は厳密に同じでなくてよい。例えば、模範操作で行われる所定の操作と同じ操作が仮想プラント３３ａに対して行われる時間の閾値として数秒間程度を設けてもよい。また、仮想プラント３３ａに対する影響が無視できる範囲であれば、仮想プラント３３ａに対する操作の順番が、模範操作で行われる順番と異なっていても許容してよい。 Here, the difference in plant operation does not have to be exactly the same. For example, you may provide about several seconds as a threshold value of the time when the same operation as the predetermined operation performed in the exemplary operation is performed on the virtual plant 33a. Further, as long as the influence on the virtual plant 33a can be ignored, the order of operations on the virtual plant 33a may be allowed to be different from the order performed in the model operation.
［第２の実施の形態例］
　次に、本発明の第２の実施の形態例に係るプラント運転支援システムについて説明する。
　図９は、プラント運転支援システム１Ａの構成例を示すブロック図である。 [Second Embodiment]
Next, a plant operation support system according to a second embodiment of the present invention will be described.
FIG. 9 is a block diagram illustrating a configuration example of the plant operation support system 1A.
　プラント運転支援システム１Ａは、図１に示した模範操作データ作成装置２とシミュレーター装置３の各部を備える。ただし、シミュレーター装置３は、実プラント５の運転支援に流用されるため、発電所訓練シミュレーター装置３３を備えなくてよい。 The plant operation support system 1A includes the model operation data creation device 2 and the simulator device 3 shown in FIG. However, since the simulator device 3 is diverted for operation support of the actual plant 5, the power plant training simulator device 33 may not be provided.
　実プラント操作装置４は、実プラント５に行ったプラント操作の時系列の実プラント操作データをプラント操作データベース２３と差分比較部３２に送る。また、実プラント５は、プラントデータをプラントデータベース２４と差分比較部３２に送る。 The actual plant operation device 4 sends time-series actual plant operation data of the plant operations performed on the actual plant 5 to the plant operation database 23 and the difference comparison unit 32. Further, the actual plant 5 sends the plant data to the plant database 24 and the difference comparison unit 32.
　上述した第１の実施の形態例に示したように、プラント操作データベース２３の実プラント操作データと、プラントデータベース２４のプラントデータとに基づいて、模範操作データ作成部２１により作成された模範操作データが模範操作データベース３１に蓄積されている。このため、差分比較部３２は、実プラント５に異常が発生した場合に、現時点で実プラント操作装置４を通じて行われている実プラント５に発生した異常に対する操作を示す実プラント操作に基づく情報を取得する。そして、差分比較部３２は、実プラント操作に基づく情報と、模範操作データから取得する模範操作に基づく情報との比較結果に基づく模範操作を実プラント操作装置４に出力する。 As shown in the first embodiment described above, the model operation data created by the model operation data creation unit 21 based on the actual plant operation data in the plant operation database 23 and the plant data in the plant database 24. Are stored in the exemplary operation database 31. For this reason, the difference comparison unit 32 displays information based on the actual plant operation indicating the operation for the abnormality occurring in the actual plant 5 currently performed through the actual plant operation device 4 when an abnormality occurs in the actual plant 5. get. Then, the difference comparison unit 32 outputs an exemplary operation based on the comparison result between the information based on the actual plant operation and the information based on the exemplary operation acquired from the exemplary operation data to the actual plant operating device 4.
　具体的には、差分比較部３２は、プラント操作により実プラント５が出力したプラント値を、実プラント操作に基づく情報として取得する。また、差分比較部３２は、実プラント５に発生した異常に基づいて模範操作データベース３１から読出した模範操作データに含まれるプラント値を、模範操作に基づく情報として取得する。 Specifically, the difference comparison unit 32 acquires the plant value output from the actual plant 5 by the plant operation as information based on the actual plant operation. Further, the difference comparison unit 32 acquires a plant value included in the model operation data read from the model operation database 31 based on the abnormality that has occurred in the actual plant 5 as information based on the model operation.
　そして、差分比較部３２は、取得したプラント値の差分が所定の閾値を超えた場合に、実プラント５に対するプラント操作が行われる実プラント操作装置４に対して模範操作データに基づく模範操作の内容を実プラント操作装置４に出力させる。このため、実プラント操作装置４では運転員に異常に対処するための模範操作を示すことができる。また、運転員は模範操作に従って実プラント５のプラント操作を行い、実プラント５を異常から正常に復旧することができる。 And the difference comparison part 32 is the content of model operation based on model operation data with respect to the actual plant operation apparatus 4 with which plant operation with respect to the actual plant 5 is performed when the difference of the acquired plant value exceeds a predetermined threshold value. Is output to the actual plant operating device 4. For this reason, the actual plant operating device 4 can show the model operation for dealing with the abnormality to the operator. Further, the operator can operate the actual plant 5 according to the exemplary operation, and can restore the actual plant 5 to normal from the abnormality.
　このプラント運転支援システム１Ａでは、実プラント５に異常が発生した場合に、この異常に対処するための模範操作が実プラント操作装置４に示される。このため、運転員は正しいプラント操作を行うことで実プラント５に発生した異常を正常に復旧させることが可能となる。 In the plant operation support system 1A, when an abnormality occurs in the actual plant 5, an exemplary operation for dealing with the abnormality is shown in the actual plant operation device 4. For this reason, it becomes possible for an operator to recover normally an abnormality occurring in the actual plant 5 by performing correct plant operation.
　また、プラント運転支援システム１Ａにおいても、模範操作データと実プラント操作データに差分が発生した場合には、実プラント５に対するプラント操作が模範操作と異なることを示す比較結果として模範操作を運転員に通知してもよい。 Also, in the plant operation support system 1A, when a difference occurs between the model operation data and the actual plant operation data, the model operation is given to the operator as a comparison result indicating that the plant operation for the actual plant 5 is different from the model operation. You may be notified.
　なお、本発明は上述した実施の形態例に限られるものではなく、請求の範囲に記載した本発明の要旨を逸脱しない限りその他種々の応用例、変形例を取り得ることは勿論である。
　例えば、上述した実施の形態例は本発明を分かりやすく説明するために装置及びシステムの構成を詳細かつ具体的に説明したものであり、必ずしも説明した全ての構成を備えるものに限定されない。また、ここで説明した実施の形態例の構成の一部を他の実施の形態例の構成に置き換えることは可能であり、さらにはある実施の形態例の構成に他の実施の形態例の構成を加えることも可能である。また、各実施の形態例の構成の一部について、他の構成の追加、削除、置換をすることも可能である。
　また、制御線や情報線は説明上必要と考えられるものを示しており、製品上必ずしも全ての制御線や情報線を示しているとは限らない。実際には殆ど全ての構成が相互に接続されていると考えてもよい。 It should be noted that the present invention is not limited to the above-described embodiments, and various other application examples and modifications can be taken without departing from the gist of the present invention described in the claims.
For example, the above-described embodiments are detailed and specific configurations of the apparatus and the system in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described. Further, it is possible to replace a part of the configuration of the embodiment described here with the configuration of another embodiment, and further, the configuration of another embodiment is replaced with the configuration of another embodiment. It is also possible to add. Moreover, it is also possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.
Further, the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.
　１…プラント運転支援システム、２…模範操作データ作成装置、３…シミュレーター装置、４…実プラント操作装置、５…実プラント、２１…模範操作データ作成部、２２…突変プラント値走査部、２３…プラント操作データベース、２４…プラントデータベース、３１…模範操作データベース、３２…差分比較部、３３…発電所訓練シミュレーター装置 DESCRIPTION OF SYMBOLS 1 ... Plant operation assistance system, 2 ... Model operation data creation apparatus, 3 ... Simulator apparatus, 4 ... Actual plant operation apparatus, 5 ... Actual plant, 21 ... Model operation data creation part, 22 ... Sudden plant value scanning part, 23 ... Plant operation database, 24 ... Plant database, 31 ... Model operation database, 32 ... Difference comparison unit, 33 ... Power plant training simulator device

Claims (5)

  1. 　実プラントに発生した異常の発生期間内における時系列のプラント値を含むプラントデータ、及び、前記実プラントに行われた操作を示す時系列の実プラント操作データに基づいて、前記実プラントを異常から正常に復旧させるまでの模範操作を示す模範操作データを作成する模範操作データ作成装置と、
    　前記実プラントを仮想化した仮想プラントに対して操作が行われ、前記仮想プラントに発生した異常に対する操作を示す仮想プラント操作に基づく情報と、前記模範操作データから取得する前記模範操作に基づく情報との比較結果に基づく前記模範操作を出力するシミュレーター装置と、を備えた
    　プラント運転支援システム。     Based on the plant data including time-series plant values in the occurrence period of the abnormality occurring in the actual plant, and the time-series actual plant operation data indicating the operation performed on the actual plant, the actual plant is detected from the abnormality. An exemplary operation data creation device for creating exemplary operation data indicating an exemplary operation until normal recovery;
    An operation is performed on a virtual plant obtained by virtualizing the real plant, information based on a virtual plant operation indicating an operation for an abnormality occurring in the virtual plant, and information based on the exemplary operation acquired from the exemplary operation data; A plant operation support system comprising: a simulator device that outputs the exemplary operation based on the comparison result of the above.
  2. 　前記模範操作データ作成装置は、
    　実プラントが出力する時系列のプラントデータを記録するプラントデータベースと、
    　前記実プラントに行われた時系列の実プラント操作データを操作履歴として記録するプラント操作データベースと、
    　前記実プラントに発生した異常が正常に戻るまでの前記異常の発生期間における前記プラント値を前記プラントデータベースから走査するプラント値走査部と、
    　前記異常の発生期間において前記プラント操作データベースから抽出した前記実プラント操作データと、前記プラント値走査部が走査した前記プラント値と、前記異常の情報とを含む前記模範操作データを作成し、前記模範操作データを前記シミュレーター装置に登録する模範操作データ作成部と、を備える
    　請求項１に記載のプラント運転支援システム。     The exemplary operation data creation device includes:
    A plant database that records time-series plant data output by the actual plant;
    A plant operation database for recording time-series actual plant operation data performed on the actual plant as an operation history;
    A plant value scanning unit that scans the plant value in the occurrence period of the abnormality until the abnormality that has occurred in the actual plant returns to normal, from the plant database;
    Creating the exemplary operation data including the actual plant operation data extracted from the plant operation database in the occurrence period of the abnormality, the plant value scanned by the plant value scanning unit, and the abnormality information; The plant operation support system according to claim 1, further comprising an exemplary operation data creation unit that registers operation data in the simulator device.
  3. 　前記シミュレーター装置は、
    　前記模範操作データ作成装置によって登録された前記模範操作データを記録する模範操作データベースと、
    　前記仮想プラントに対する訓練操作が行われる訓練操作部と、
    　前記模範操作に基づく情報として前記仮想プラントに設定された前記異常に対して前記模範操作データベースから読出した前記プラント値と、前記仮想プラント操作に基づく情報として、前記訓練操作によって前記仮想プラントから出力されるプラント値との差分を所定の閾値と比較して、前記差分が前記閾値を超える場合に、前記模範操作データに基づく模範操作を前記訓練操作部に出力させる差分比較部と、を備える
    　請求項２に記載のプラント運転支援システム。     The simulator device is
    An exemplary operation database that records the exemplary operation data registered by the exemplary operation data creation device;
    A training operation unit for performing a training operation on the virtual plant;
    The plant value read from the model operation database for the abnormality set in the virtual plant as information based on the model operation, and information based on the virtual plant operation is output from the virtual plant by the training operation. A difference comparison unit that compares a difference with a plant value with a predetermined threshold value and causes the training operation unit to output an exemplary operation based on the exemplary operation data when the difference exceeds the threshold value. 2. The plant operation support system according to 2.
  4. 　前記差分比較部は、前記模範操作に基づく情報としての前記模範操作データと、前記仮想プラント操作に基づく情報としての仮想プラント操作データとで差分が発生した場合に、前記模範操作データに基づく模範操作を前記訓練操作部に出力させる
    　請求項３に記載のプラント運転支援システム。     The difference comparison unit, when a difference occurs between the exemplary operation data as information based on the exemplary operation and the virtual plant operation data as information based on the virtual plant operation, the exemplary operation based on the exemplary operation data The plant operation support system according to claim 3, wherein the training operation unit is output.
  5. 　実プラントに発生した異常の発生期間内における時系列のプラント値を含むプラントデータ、及び、前記実プラントに行われた操作を示す時系列の実プラント操作データに基づいて、前記実プラントを異常から正常に復旧させるまでの模範操作を示す模範操作データを作成する模範操作データ作成装置と、
    　前記実プラントに発生した異常に対する操作を示す実プラント操作に基づく情報と、前記模範操作データから取得する前記模範操作に基づく情報との比較結果に基づく前記模範操作を出力するシミュレーター装置と、を備えた
    　プラント運転支援システム。     Based on the plant data including time-series plant values in the occurrence period of the abnormality occurring in the actual plant, and the time-series actual plant operation data indicating the operation performed on the actual plant, the actual plant is detected from the abnormality. An exemplary operation data creation device for creating exemplary operation data indicating an exemplary operation until normal recovery;
    A simulator device that outputs the exemplary operation based on a comparison result between information based on an actual plant operation indicating an operation for an abnormality occurring in the actual plant and information based on the exemplary operation acquired from the exemplary operation data. Plant operation support system.
PCT/JP2017/015428 2016-06-07 2017-04-17 Plant operation support system WO2017212788A1 (en)

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