Full-life-cycle digital associated system of supercritical carbon dioxide generator set

Abstract

The invention belongs to the technical field of nuclear power, and particularly relates to a full-life-cycle digital associated system of a supercritical carbon dioxide generator set. According to the invention, a digital associated technology is adopted to carry out full-period energizing on engineering application of a novel power generation technology; the requirements of virtual control training before commissioning, commissioning model calibration and online evolution in the debugging and operation stage, system and equipment state monitoring based on associated operation in the long-period operation stage, associated system remote operation, design and optimization application closed loop based on measured data and the like are met in a one-stop mode.

Description

Technical Field

[0001] The present invention belongs to the field of nuclear power technology, and in particular relates to a full life cycle digital companion system for a supercritical carbon dioxide generator set. Background Art

[0002] Supercritical carbon dioxide thermoelectric conversion technology is a new type of thermoelectric conversion technology with outstanding advantages such as high efficiency, compact size, and excellent variable load characteristics. It has broad application prospects in power generation, power generation, and other fields. As a new technology, its engineering application has practical requirements such as unit operation training, operating status monitoring, equipment performance degradation data acquisition and degradation law analysis, and technology upgrades and iterations. Traditional implementation methods have addressed each requirement separately, using simulators for training and DCS for operation monitoring. This lacks long-term tracking and analysis of equipment degradation performance, and the technology has not yet formed a closed loop of design and application optimization. Therefore, a solution for the entire life cycle of supercritical carbon dioxide thermoelectric conversion technology is urgently needed. Summary of the Invention

[0003] To overcome the problems existing in related technologies, a digital companion system for the entire life cycle of a supercritical carbon dioxide power generation unit is provided. The system includes: a three-dimensional demonstration module, a virtual control and rehearsal module, a calibration and evolution module, a companion operation module, an equipment performance monitoring module, and a system performance prediction module.

[0004] The three-dimensional demonstration module can display the operating status of the unit in a three-dimensional manner;

[0005] The virtual control drill module is based on user control data, alarm data, simulation data, working condition data and procedure data, and adopts a full-system digital prototype to realize the functions of procedure data management, data viewing, script recording, script playback, process flow display, working condition selection, measurement point display, simulation control, alarm and time display, snapshot and return, operation record, and question management;

[0006] The calibration and evolution module can calibrate the system's associated model using a calibration model based on the unit's system and equipment multi-condition operation history data to obtain the simulation accuracy of the associated model; and when it is determined that the simulation accuracy of the associated model has decreased, it can perform online evolution of the associated model based on the unit's recent operation data;

[0007] The accompanying operation module performs simulation synchronously with the unit based on the measured boundary conditions, and monitors the unit operation status through the deviation between the simulation value and the measured value;

[0008] The equipment performance monitoring module is used to monitor the degradation status and trend of each device;

[0009] The system performance prediction module performs system performance prediction on the performance indicators of the system and corresponding devices based on various associated models with prediction functions.

[0010] In one possible implementation, the three-dimensional demonstration module can realize real-scene mode and perspective mode; in real-scene mode, the three-dimensional demonstration module can display the roaming real-scene information associated with each path of the unit plant based on the current actual layout information of the unit plant obtained; in perspective mode, the three-dimensional demonstration module can present the physical process of the working fluid in the pipeline and equipment based on the monitoring data obtained from relevant sensors.

[0011] In one possible implementation, the system further includes a data management module; the data management module is used to collect, store, distribute, and provide data viewing for measured values from the DCS, simulated values from the accompanying operation module, and unit data, manage user information and user permissions for system users, and provide support functions for data retrieval, remote data synchronization, data analysis and transmission, data statistics, upload, and download.

[0012] In a possible implementation, the virtual manipulation rehearsal module includes a procedure learning module, a procedure training module, and a procedure examination module;

[0013] The procedure learning module is used to visualize and train the system composition, equipment information, process flow, equipment safe operation requirements, safety limits, and operating procedures of the unit;

[0014] The procedure training module is used to provide the selection, setting, operation and backtracking functions of the procedure;

[0015] The procedural examination mode is used to provide examination question selection, examination, and scoring functions;

[0016] The virtual manipulation rehearsal module includes an administrator mode and a user mode; in the administrator mode, the virtual manipulation rehearsal module can realize the functions of setting scoring rules and customizing examination questions; in the user mode, the virtual manipulation rehearsal module can display real scenes according to customized examination questions and training procedures.

[0017] In a possible implementation, the accompanying operation module includes a real-time data access module, a virtual-real synchronization module, and an operation status monitoring module;

[0018] The real-time data access module is used to obtain measured data, instrumentation and control signals, alarm signals and simulation data in real time; and pre-process the acquired data, including eliminating missing and jump data, performing multi-source data fusion and extracting steady-state operating condition data;

[0019] The virtual-real synchronization module is used to display the system simulation data, the measured data and the deviation between the system simulation data and the measured data in real time; the virtual-real synchronization module is also used to display the process flow of the system;

[0020] The operation status monitoring module generates an alarm for abnormal measured values that have a preset deviation from the simulation value through the set alarm rules.

[0021] In one possible implementation, the equipment performance monitoring module includes an equipment degradation monitoring module and an equipment degradation performance regression module; the equipment degradation monitoring module monitors the actual performance degradation trend of the system's core equipment in real time based on measured data, obtains the health indicators of the equipment at each monitoring moment, and generates a curve of the change of the equipment health indicators over time, providing a reference for the inspection and maintenance of the equipment; the equipment degradation performance regression module generates a companion model with a predictive function based on the health indicators of the equipment at each monitoring moment, providing model support for the long-term prediction of the equipment health index.

[0022] In one possible implementation, the system performance prediction module performs system performance prediction on the performance indicators of the system and corresponding devices based on various accompanying models with prediction functions, displays devices whose impact on system performance exceeds a preset threshold as devices to be improved, and provides the change results of the overall system performance after any one or more of the devices are improved.

[0023] In a possible implementation, the system uses the nuclear reactor unified modeling software NUMAP, which has the ability to uniformly model and solve the entire power generation unit system.

[0024] In a possible implementation, the hardware of the system includes a large display screen, a server, a one-way gateway, a PC, a switch, and a network cable.

[0025] In one possible implementation, the system implements the functions of a three-dimensional demonstration module, a virtual control rehearsal module, a calibration and evolution module, a companion operation module, an equipment performance monitoring module, and a system performance prediction module based on a model layer. The model layer includes: a full-system digital prototype and a main process system companion model; the full-system digital prototype includes: a main process system model, an instrumentation and control system model, an auxiliary system model, and an electrical system model; the main process system companion model includes a calibrated companion model, an evolved companion model, and a companion model with a prediction function.

[0026] The beneficial effects of the present disclosure are: the present disclosure adopts digital companion technology to empower the engineering application of new power generation technology throughout the entire cycle, and satisfies the needs of virtual control training before commissioning, companion model calibration and online evolution during the debugging and operation stages, system and equipment status monitoring based on companion operation during the long-term operation stage, remote operation of the companion system, and design and optimization application closed loop based on measured data in one stop. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a block diagram of a full life cycle digital companion system for a supercritical carbon dioxide power generation unit shown in an embodiment of the present disclosure.

[0028] Figure 2 4 is a block diagram of a virtual control module shown in an embodiment of the present disclosure.

[0029] Figure 3 It is a block diagram of a calibration and evolution module shown in an embodiment of the present disclosure.

[0030] Figure 4 It is a block diagram of a companion operation module shown in an embodiment of the present disclosure.

[0031] Figure 5 This is a block diagram of a device performance monitoring module shown in an embodiment of the present disclosure.

[0032] Figure 6 It is a block diagram of a system performance prediction module shown in an embodiment of the present disclosure.

[0033] Figure 7 It is a block diagram of a data management module shown in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] The present disclosure will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0035] Unless otherwise defined, the technical and scientific terms used in this disclosure have the same meanings as those generally understood by those skilled in the art to which this disclosure belongs; the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit this disclosure; the term "including" and any variations thereof in this disclosure are intended to cover non-exclusive inclusions. Obviously, the embodiments described in this disclosure are only some of the embodiments of this disclosure, not all of them. Based on the embodiments in this disclosure, all other embodiments obtained by those of ordinary skill in the art without making any creative work are within the scope of protection of this disclosure.

[0036] References to "embodiments" in this disclosure mean that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the disclosure. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0037] Figure 1 This is a block diagram of a digital companion system for the entire life cycle of a supercritical carbon dioxide generator set shown in an embodiment of the present disclosure. Figure 1 As shown, the system includes: a three-dimensional demonstration module, a virtual control rehearsal module, a calibration and evolution module, a companion operation module, an equipment performance monitoring module, a system performance prediction module and a data management module.

[0038] The three-dimensional demonstration module can realize real-scene mode and perspective mode. In real-scene mode, the three-dimensional demonstration module can display the roaming real-scene information associated with each path of the unit plant based on the current actual layout information of the unit plant obtained; in perspective mode, the three-dimensional demonstration module can present the physical process of the working fluid in the pipeline and equipment based on the monitoring data obtained from relevant sensors, and present the working fluid temperature, pressure and flow velocity information based on data drive.

[0039] like Figure 2 As shown, the virtual control rehearsal module is based on user control data, alarm data, simulation data, working condition data and procedure data, and adopts a full-system digital prototype to realize procedure data management, data viewing, script recording, script playback, process flow display, working condition selection, measurement point display, simulation control, alarm and time display, snapshot and return, operation record, and question management functions.

[0040] In a possible implementation, the virtual manipulation practice module includes a procedure learning module, a procedure training module, and a procedure examination module.

[0041] The procedure learning module is used to visualize and train the system composition, equipment information, process flow, equipment safe operation requirements, safety limits, and operating procedures of the unit;

[0042] The procedure training module is used to provide the selection, setting, operation and backtracking functions of the procedure;

[0043] The procedure examination mode is used to provide examination question selection, examination, and scoring functions.

[0044] The virtual manipulation rehearsal module includes an administrator mode and a user mode; in the administrator mode, the virtual manipulation rehearsal module can realize the functions of setting scoring rules and customizing examination questions; in the user mode, the virtual manipulation rehearsal module can display real scenes according to customized examination questions and training procedures.

[0045] like Figure 3 As shown, the calibration and evolution module can calibrate the system's companion model using a calibration model based on the unit's system and equipment multi-condition operating history data, thereby determining the companion model's simulation accuracy. When it is determined that the companion model's simulation accuracy has degraded, the companion model is evolved online based on the unit's recent operating data (e.g., the past week). Using an adaptive update model, the companion model and system evolve synchronously over long periods of operation, ensuring that the companion model consistently represents the unit's performance.

[0046] The accompanying operation module performs simulation synchronously with the unit based on the measured boundary conditions, monitors the unit operation status through the deviation between the simulation value and the measured value, and issues an alarm for abnormal trends before the DCS exceeds the threshold.

[0047] like Figure 4 As shown, the accompanying operation module includes a real-time data access module, a virtual-real synchronization module and an operation status monitoring module.

[0048] The real-time data access module is used to obtain measured data, instrumentation and control signals, alarm signals and simulation data in real time; and pre-process the acquired data, including eliminating missing and jump data, performing multi-source data fusion and extracting steady-state operating condition data.

[0049] The virtual-real synchronization module is used to display the system simulation data, the measured data and the deviation between the system simulation data and the measured data in real time. The virtual-real synchronization module is also used to display the process flow of the system.

[0050] The operation status monitoring module generates an alarm for abnormal measured values that have a preset deviation from the simulation value through the set alarm rules.

[0051] like Figure 5 As shown, the equipment performance monitoring module includes an equipment degradation monitoring module and an equipment degradation performance regression module. The equipment degradation monitoring module monitors the actual performance degradation trends of the system's core equipment in real time based on measured data, obtains the equipment health indicators at each monitoring moment, and generates a curve of the equipment health indicator changes over time, providing a reference for equipment inspection and maintenance. The equipment degradation performance regression module generates a companion model with predictive functions based on the equipment health indicators at each monitoring moment, providing model support for long-term prediction of the equipment health index.

[0052] like Figure 6 As shown, the system performance prediction module predicts the system performance of the performance indicators of the system and corresponding equipment based on various accompanying models with prediction functions, displays the equipment whose impact on system performance exceeds a preset threshold as equipment to be improved, and provides the change results of the overall system performance after any one or more of the equipment are improved, providing support for the evaluation of system modification plans and predictive maintenance of equipment.

[0053] like Figure 7 As shown, the data management module is used to collect, store, distribute and provide data viewing for the measured values from the DCS, the simulation values of the accompanying operation module and the unit data, manage the user information and user rights of the system users, and provide support functions for data retrieval, remote data synchronization, data analysis and transmission, data statistics, upload and download.

[0054] The system uses the nuclear reactor unified modeling software NUMAP, which has the ability to uniformly model and solve the entire generator set system. The system hardware includes a large display screen, server, one-way gateway, PC and switch, network cable and other necessary connection equipment.

[0055] The digital companion system for the entire life cycle of supercritical carbon dioxide power generation units provided by the present disclosure realizes virtual control training before the actual power station units are put into operation, system calibration and online evolution during the commissioning and operation stages, companion operation during the long-term operation stage, remote operation of the companion system, and a design and application closed loop based on measured data, providing a one-stop solution integrating digital delivery means, visual training means, efficient operation and maintenance means, and technology upgrade means for the industrial application of the new power generation technology supercritical carbon dioxide thermoelectric conversion technology.

[0056] While various embodiments of the present disclosure have been described above, the above descriptions are illustrative, non-exhaustive, and not intended to be limiting of the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is selected to best explain the principles of the embodiments, their practical applications, or improvements to existing technologies, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A digital companion system for the entire life cycle of a supercritical carbon dioxide generator set, characterized in that: The system includes: a three-dimensional demonstration module, a virtual control drill module, a calibration and evolution module, a companion operation module, an equipment performance monitoring module, and a system performance prediction module; The three-dimensional demonstration module can display the operating status of the unit in a three-dimensional manner; The virtual control drill module is based on user control data, alarm data, simulation data, working condition data and procedure data, and adopts a full-system digital prototype to realize the functions of procedure data management, data viewing, script recording, script playback, process flow display, working condition selection, measurement point display, simulation control, alarm and time display, snapshot and return, operation record, and question management; The calibration and evolution module can calibrate the system's associated model using a calibration model based on the unit's system and equipment multi-condition operation history data to obtain the simulation accuracy of the associated model; and when it is determined that the simulation accuracy of the associated model has decreased, it can perform online evolution of the associated model based on the unit's recent operation data; The accompanying operation module performs simulation synchronously with the unit based on the measured boundary conditions, and monitors the unit operation status through the deviation between the simulation value and the measured value; The equipment performance monitoring module is used to monitor the degradation status and trend of each device; The system performance prediction module performs system performance prediction on the performance indicators of the system and corresponding devices based on various associated models with prediction functions.

2. The system according to claim 1, wherein: The three-dimensional demonstration module can realize real-scene mode and perspective mode. In real-scene mode, the three-dimensional demonstration module can display the roaming real-scene information associated with each path of the unit plant based on the current actual layout information of the unit plant obtained; in perspective mode, the three-dimensional demonstration module can present the physical process of the working fluid in the pipeline and equipment based on the monitoring data obtained from relevant sensors.

3. The system according to claim 1, wherein: The system also includes a data management module; the data management module is used to collect, store, distribute and provide data viewing for measured values from the DCS, simulated values from the accompanying operation module and unit data, manage user information and user permissions for system users, and provide support functions for data retrieval, remote data synchronization, data analysis and transmission, data statistics, upload and download.

4. The system according to claim 1, wherein: The virtual control drill module includes a procedure learning module, a procedure training module and a procedure examination module; The procedure learning module is used to visualize and train the system composition, equipment information, process flow, equipment safe operation requirements, safety limits, and operating procedures of the unit; The procedure training module is used to provide the selection, setting, operation and backtracking functions of the procedure; The procedural examination mode is used to provide examination question selection, examination, and scoring functions; The virtual manipulation rehearsal module includes an administrator mode and a user mode; in the administrator mode, the virtual manipulation rehearsal module can realize the functions of setting scoring rules and customizing examination questions; in the user mode, the virtual manipulation rehearsal module can display real scenes according to customized examination questions and training procedures.

5. The system according to claim 1, wherein: The accompanying operation module includes a real-time data access module, a virtual-real synchronization module and an operation status monitoring module; The real-time data access module is used to obtain measured data, instrumentation and control signals, alarm signals and simulation data in real time; and pre-process the acquired data, including eliminating missing and jump data, performing multi-source data fusion and extracting steady-state operating condition data; The virtual-real synchronization module is used to display the system simulation data, the measured data and the deviation between the system simulation data and the measured data in real time; the virtual-real synchronization module is also used to display the process flow of the system; The operation status monitoring module generates an alarm for abnormal measured values that have a preset deviation from the simulation value through the set alarm rules.

6. The system according to claim 1, wherein: The equipment performance monitoring module includes an equipment degradation monitoring module and an equipment degradation performance regression module; the equipment degradation monitoring module monitors the actual performance degradation trend of the system's core equipment in real time based on measured data, obtains the health indicators of the equipment at each monitoring moment, and generates a curve of the change of the equipment health indicators over time, providing a reference for equipment inspection and maintenance; the equipment degradation performance regression module generates a companion model with prediction function based on the health indicators of the equipment at each monitoring moment, providing model support for the long-term prediction of the equipment health index.

7. The system according to claim 1, wherein: The system performance prediction module predicts the performance indicators of the system and corresponding devices based on various accompanying models with prediction functions, displays devices whose impact on system performance exceeds a preset threshold as devices to be improved, and provides the changes in the overall system performance after any one or more of the devices are improved.

8. The system according to claim 1, wherein: The system adopts the nuclear reactor unified modeling software NUMAP, which has the ability to uniformly model and solve the entire generator set system.

9. The system according to claim 1, wherein: The hardware of the system includes a large display screen, a server, a one-way gateway, a PC, a switch, and a network cable.

10. The system according to claim 1, wherein: The system realizes the functions of three-dimensional demonstration module, virtual control rehearsal module, calibration and evolution module, companion operation module, equipment performance monitoring module and system performance prediction module based on the model layer. The model layer includes: full system digital prototype and main process system companion model; full system digital prototype includes: main process system model, instrumentation and control system model, auxiliary system model and electrical system model; main process system companion model includes calibrated companion model, evolved companion model and companion model with prediction function.

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