Simulation Assessment System for Personnel Training of Thermal Power Plant Units

Abstract

The present invention discloses a simulation assessment system for the practical training of thermal power unit personnel, which relates to the field of electric energy simulation assessment. The system comprises: a practical training scenario determination module for determining the practical training scenario; an unintervention operation data acquisition module for collecting unintervention operation data sets of the assessment personnel; an intervention module for generating intervention signals; an intervention operation data acquisition module for intervening in the operation process and obtaining multiple intervention operation data sets; an assessment scoring module for inputting unintervention and multiple intervention operation data sets into an assessment scoring model to obtain unintervention and intervention operation scoring results; and an assessment report generation module for performing weight calculation and generating an assessment report. The system solves the technical problems of the existing assessment system, such as the single assessment content, the inability to comprehensively assess the adaptability and decision-making level, and the inability to provide detailed feedback and improvement suggestions, and achieves the technical effect of comprehensively assessing the adaptability and decision-making level and providing comprehensive and accurate feedback and improvement suggestions.

Description

Technical Field

[0001] The present application relates to the field of electric power energy simulation assessment, and in particular to a simulation assessment system for the practical training of thermal power unit personnel. Background Art

[0002] In the power industry, thermal power units are important power generation equipment, and their operation safety and economy are of vital importance. In order to ensure that the professional skills of thermal power unit personnel meet the requirements, regular training and assessment are essential. With the development of computer simulation technology, simulation assessment systems have gradually become an important tool for the training of thermal power unit personnel. In the current simulation assessment system, usually only the natural operation process of trainees is recorded, which leads to relatively single assessment content and cannot comprehensively evaluate the adaptability and decision-making level of trainees under complex working conditions, and thus cannot provide detailed feedback and improvement suggestions for trainees.

[0003] Among the current relevant technologies, the simulation assessment system used for the training of thermal power unit personnel has the following technical problems: the assessment content is single, and it is unable to comprehensively evaluate the trainees' adaptability and decision-making level under complex working conditions, and it is unable to provide trainees with detailed feedback and improvement suggestions. Summary of the invention

[0004] The present application provides a simulation assessment system for the practical training of thermal power unit personnel. Through a training scenario determination module, a specific training environment of the thermal power unit is selected, the selected training scenario is entered into a simulation assessment device, and an operation data set of the assessor without external intervention is collected. A plurality of intervention signals are generated by an intervention module, and these signals are sequentially input into the simulation assessment device to intervene in the operation process of the assessor. After each intervention, the corresponding intervention operation data set is collected, and the non-intervention and intervention operation data sets are input into an assessment scoring model to obtain scoring results of non-intervention and intervention operations respectively. According to the scoring results of non-intervention and intervention operations, an assessment report of the training scenario is finally generated through weight calculation and other technical means. The present application achieves the technical effect of simulating various emergencies and complex working conditions in actual work, comprehensively evaluating the adaptability and decision-making level of trainees under complex working conditions, and providing trainees with more comprehensive and accurate feedback and improvement suggestions.

[0005] The present application provides a simulation assessment system for the practical training of thermal power unit personnel, including: a training scenario determination module, used to determine the practical training scenario of the thermal power unit; an unintervention operation data acquisition module, used to enter the training scenario into a simulation assessment device, and collect the unintervention operation data set of the current assessee; an intervention module, used to generate multiple intervention signals; an intervention operation data acquisition module, used to enter the multiple intervention signals into the simulation assessment device, intervene in the operation process of the current assessee in turn, and obtain multiple intervention operation data sets corresponding to the multiple intervention signals; an assessment scoring module, used to input the unintervention operation data set and the multiple intervention operation data sets into an assessment scoring model, and obtain the unintervention operation scoring result and the intervention operation scoring result, wherein the assessment scoring model includes a unintervention assessment scoring branch and an intervention assessment scoring branch; an assessment report generation module, used to perform weight calculation based on the unintervention operation scoring result and the intervention operation scoring result, and generate an assessment report for the training scenario.

[0006] In a possible implementation, the intervention module includes an environmental intervention component and a sudden task intervention component, and the intervention module performs the following processing: sending the information of the training scenario to the intervention module for identification, obtaining multiple environmental intervention signals according to the environmental intervention component, and obtaining multiple sudden task intervention signals according to the sudden task intervention component; generating multiple intervention signals according to the multiple environmental intervention signals and the multiple sudden task intervention signals.

[0007] In a possible implementation, multiple environmental intervention signals are obtained according to the environmental intervention component, and the intervention module performs the following processing: the environmental intervention component performs environmental analysis according to the training scenario, and obtains a set of environmental factors that affect the training scenario, wherein the environmental factor set includes multiple environmental influencing factors, and the degree of influence of each environmental influencing factor is greater than a preset threshold; a preset number of multiple environmental factors are screened in the environmental factor set to generate multiple environmental intervention signals.

[0008] In a possible implementation, multiple sudden task intervention signals are obtained according to the sudden task intervention component, and the intervention module performs the following processing: obtaining a training scenario sample library, wherein the training scenario sample library includes multiple training scenarios; analyzing the historical sudden event samples corresponding to each training scenario in the training scenario sample library, and constructing a sudden task matching library according to the mapping relationship between each training scenario and the corresponding historical sudden event samples, wherein the sudden task matching library is connected to the sudden task intervention component; the sudden task intervention component performs sudden task identification on the training scenario in the sudden task matching library, and obtains a burstable task corresponding to the training scenario; screening a preset number of multiple sudden tasks from the burstable tasks, and generating multiple sudden task intervention signals.

[0009] In a possible implementation, the multiple intervention signals are entered into a simulation assessment device, and the operation process of the current assessee is intervened in turn. The intervention operation data acquisition module performs the following processing: obtaining multiple operation process nodes corresponding to the training scenario; dividing the multiple operation process nodes, and outputting non-intervention operation process nodes and intervention operation process nodes; the simulation assessment device uses the multiple intervention signals to intervene in the operation process of the current assessee in turn at the non-intervention operation process nodes and the intervention operation process nodes.

[0010] In a possible implementation, the assessment and scoring module performs the following processing: comparing the non-intervention operation data set according to the non-intervention assessment and scoring branch of the assessment and scoring model, obtaining the completion degree by comparing it with a pre-stored standard operation data set, and obtaining the non-intervention operation completion degree; and outputting the non-intervention operation scoring result according to the non-intervention operation completion degree.

[0011] In a possible implementation, the assessment and scoring module performs the following processing: comparing the multiple intervention operation data sets according to the intervention assessment and scoring branch of the assessment and scoring model, obtaining and analyzing the pre-stored standard operation data sets to obtain the sudden task operation completion degree and the sudden task reaction capability; outputting the intervention operation scoring result according to the sudden task operation completion degree and the sudden task reaction capability.

[0012] In a possible implementation, the simulation assessment device also includes a heart rate monitoring device, which is worn by the assessee. The system also includes an assessment report update module, which performs the following processing: obtaining a heart rate monitoring signal set according to the heart rate monitoring device; performing signal conversion on the heart rate monitoring signal set to output a heart rate monitoring digital signal; performing an assessment psychological assessment on the heart rate monitoring digital signal and outputting an assessment psychological assessment indicator; and updating the assessment report of the training scenario according to the assessment psychological assessment indicator.

[0013] The simulation assessment system for the practical training of thermal power unit personnel proposed in this application is proposed. The practical training scenario of the thermal power unit is determined by the practical training scenario determination module, the practical training scenario is entered into the simulation assessment device by the non-intervention operation data acquisition module, the non-intervention operation data set of the current assessor is collected, and multiple intervention signals are generated by the intervention module. The multiple intervention signals are entered into the simulation assessment device by the intervention operation data acquisition module, and the operation process of the current assessor is intervened in turn to obtain multiple intervention operation data sets corresponding to the multiple intervention signals. The non-intervention operation data set and the multiple intervention operation data sets are input into the assessment scoring model by the assessment scoring module to obtain the non-intervention operation scoring result and the intervention operation scoring result, wherein the assessment scoring model includes a non-intervention assessment scoring branch and an intervention assessment scoring branch. The assessment report generation module performs weight calculation according to the non-intervention operation scoring result and the intervention operation scoring result to generate an assessment report for the practical training scenario, thereby achieving the technical effect of simulating various emergencies and complex working conditions in actual work, comprehensively evaluating the adaptability and decision-making level of trainees under complex working conditions, and providing trainees with more comprehensive and accurate feedback and improvement suggestions. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic diagram of the structure of a simulation assessment system for training personnel of a thermal power unit provided in an embodiment of the present application.

[0016] Figure 2 A schematic diagram of a flow chart for obtaining multiple emergency task intervention signals in a simulation assessment system for training thermal power unit personnel provided in an embodiment of the present application.

[0017] Explanation of the accompanying drawings: training scenario determination module 10, non-intervention operation data collection module 20, intervention module 30, intervention operation data collection module 40, assessment scoring module 50, assessment report generation module 60. DETAILED DESCRIPTION

[0018] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0019] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0020] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0021] The present application embodiment provides a simulation assessment system for the training of thermal power unit personnel, such as Figure 1 As shown, the system comprises:

[0022] The training scenario determination module 10 is used to determine the training scenario of the thermal power unit. Specifically, a preset database or user input interface is used to select or define the training scenario of the thermal power unit (a power generation equipment that generates heat energy by burning fuel and then converts it into electrical energy). The training scenario is used to simulate various situations that may occur in a real working environment, including the unit startup scenario (simulating the process of starting a thermal power unit from a cold or hot state, including ignition, heating, boosting, grid connection and other steps), the stable operation scenario (simulating the stable operation of the unit at full load or a certain load, such as monitoring unit parameters, adjusting combustion, etc.), and the fault handling scenario (simulating the situation of a specific fault in the unit, such as the deaerator water level reduction, boiler pipe burst, turbine vibration, etc.). The training scenario is used to assess and train personnel. Taking the deaerator water level reduction as an example, the assessor needs to determine the cause of the water level reduction (which may be a water inlet valve failure, a water feed pump failure, etc.), and take corresponding measures (such as turning on the standby water feed pump, adjusting the water inlet valve opening, etc.) to restore the water level.

[0023] The unintervention operation data acquisition module 20 is used to enter the training scenario into the simulation assessment device and collect the unintervention operation data set of the current assessor. Specifically, a simulation assessment device (equipment or software that can simulate the actual operating environment of a thermal power unit) is used to simulate the training scenario. The assessor enters the simulation environment and operates according to the training requirements without external intervention. The system records the assessor's operating behavior in real time through sensors, recorders and other equipment, such as observed parameters, judgments made, measures taken, etc. These data are collected and stored as an unintervention operation data set.

[0024] The intervention module 30 is used to generate multiple intervention signals. Specifically, the intervention module 30 is used to introduce additional variables or challenges in the assessment process to test the adaptability and problem-solving ability of the assessor. The intervention module 30 generates multiple intervention signals according to preset rules or random generation methods, including simulated faults, load changes, equipment failures, etc., and inputs these signals into the simulation assessment device. These intervention signals will change the state of the simulation environment, making the assessor face more complex operational challenges. For example, in the deaerator water level reduction scenario, the intervention module 30 can simulate more complex fault conditions, such as simultaneous feedwater pump failure and water inlet valve failure, or introduce other unknown interference factors.

[0025] In one possible implementation, the intervention module 30 includes an environmental intervention component and a sudden task intervention component, and the intervention module 30 is used to: send the information of the training scenario to the intervention module for identification, obtain multiple environmental intervention signals according to the environmental intervention component, and obtain multiple sudden task intervention signals according to the sudden task intervention component; generate multiple intervention signals according to the multiple environmental intervention signals and the multiple sudden task intervention signals.

[0026] Specifically, the environmental intervention component is used to generate intervention signals related to the training scene environment, such as simulated environmental parameter changes. The sudden task intervention component is used to generate sudden task or fault intervention signals to simulate emergency situations in real work. When the training scene determination module 10 selects a specific training scene, it will send the information of this scene (such as unit type, current operating status, environmental parameters, etc.) to the intervention module 30. The identification component in the intervention module 30 will receive this information, and parse and identify it to understand the specific characteristics and requirements of the current training scene. According to the identified training scene information, the environmental intervention component will generate a series of intervention signals related to the scene environment, which include simulated environmental changes (such as fluctuations in parameters such as temperature, pressure, flow rate, etc.), which are used to test the adaptability and coping ability of the assessor to environmental changes. At the same time, the sudden task intervention component will also generate some sudden task intervention signals according to the training scene information, which include sudden faults, urgent operating instructions, etc., which are used to simulate emergency situations that may occur in real work and test the emergency response and problem-solving ability of the assessor. Finally, the intervention module 30 will integrate the environmental intervention signal and the sudden task intervention signal to form a plurality of comprehensive intervention signals. These signals will be sent to the simulation assessment device in a preset order or random order to implement intervention in the operation process of the assessor. This implementation method combines environmental intervention and emergency task intervention, comprehensively covers multiple aspects and levels in the operation of thermal power units, enhances the authenticity and comprehensiveness of practical training assessment, and helps to improve the operating skills and response capabilities of thermal power unit personnel.

[0027] In one possible implementation, multiple environmental intervention signals are obtained according to the environmental intervention component, and the intervention module 30 is used for: the environmental intervention component performs environmental analysis according to the training scenario to obtain a set of environmental factors that affect the training scenario, wherein the environmental factor set includes multiple environmental influencing factors, and the degree of influence of each environmental influencing factor is greater than a preset threshold; a preset number of multiple environmental factors are screened in the environmental factor set to generate multiple environmental intervention signals.

[0028] Specifically, when the training scenario is determined, the environmental intervention component will receive the information of the training scenario and conduct a detailed environmental analysis, including the unit operating status, external environmental conditions (such as temperature, humidity, wind speed, etc.), equipment aging, and other aspects. Through environmental analysis, the environmental intervention component will identify a series of environmental factors that may affect the training scenario and combine them into an environmental factor set. These environmental factors may include changes in unit operating parameters, fluctuations in external environmental conditions, equipment failures, etc. For each environmental influencing factor in the environmental factor set, the environmental intervention component evaluates its degree of influence, such as quantitative analysis of the consequences that may be caused by the factor, such as calculating the degree of influence of factor changes on unit performance and the impact on operational difficulty. According to the evaluation results of the degree of influence, the environmental intervention component selects a preset number of multiple environmental factors from the environmental factor set. These factors are factors whose degree of influence is greater than a preset threshold and have a significant impact on the training scenario. Finally, the environmental intervention component generates multiple environmental intervention signals based on the selected environmental factors, which are used to implement intervention in the operation process of the assessor in the simulation assessment device. This implementation method screens environmental factors that have a significant impact on the training scenario, and the intervention signals generated can more accurately reflect the problems and challenges that the unit may encounter in actual operation, thereby improving the targetedness and effectiveness of the training.

[0029] like Figure 2 As shown, in a possible implementation, multiple sudden task intervention signals are obtained according to the sudden task intervention component, and the intervention module 30 is used to: obtain a training scenario sample library, wherein the training scenario sample library includes multiple training scenarios; analyze the historical sudden event samples corresponding to each training scenario in the training scenario sample library, and construct a sudden task matching library according to the mapping relationship between each training scenario and the corresponding historical sudden event samples, wherein the sudden task matching library is connected to the sudden task intervention component; the sudden task intervention component performs sudden task identification on the training scenario in the sudden task matching library, and obtains a burstable task corresponding to the training scenario; screens a preset number of sudden tasks from the burstable tasks, and generates multiple sudden task intervention signals.

[0030] Specifically, a database containing multiple training scenarios is established. These training scenarios cover various possible situations in the operation of thermal power units, and each training scenario represents a specific operating state or situation of a thermal power unit. The historical emergency event samples corresponding to each training scenario in the training scenario sample library are analyzed, that is, the emergencies that occurred in the actual operation of each training scenario in the past are analyzed, and how these events were handled. According to the mapping relationship between each training scenario and the corresponding historical emergency event samples, a burst task matching library is constructed to help the system quickly identify possible emergencies when a given training scenario is given. The burst task intervention component is used to compare the current training scenario with the records in the burst task matching library to find the emergencies that may be encountered in the current training scenario in the burst task matching library. All possible emergencies related to the current training scenario are extracted from the burst task matching library. In order to control the complexity and difficulty of the intervention, a certain number of emergencies are screened out from the emergent tasks as intervention signals, wherein the preset number is the number of emergencies set in advance for the training effect. The screened emergencies are converted into intervention signals, which are used to intervene in emergencies for the assessors during the training process. This implementation method simulates emergencies in real environments, making the training closer to actual work scenarios, thereby improving the realism and effectiveness of the training.

[0031] The intervention operation data acquisition module 40 is used to input the multiple intervention signals into the simulation assessment device, intervene in the operation process of the current assessor in turn, and obtain multiple intervention operation data sets corresponding to the multiple intervention signals. Specifically, the intervention signal is input into the simulation assessment device to simulate the intervention under the actual situation, and each intervention signal is intervened in turn to record the operating behavior, reaction time, treatment measures and other data of the assessor under the intervention. A corresponding intervention operation data set is generated under each intervention signal. Taking the scenario where the deaerator water level is reduced and the water supply pump fails at the same time as an example, the assessor needs to quickly determine the cause of the failure and take effective measures to restore the water level and the normal operation of the water supply pump.

[0032] In one possible implementation, the multiple intervention signals are entered into a simulation assessment device, and the operation process of the current assessee is intervened in turn. The intervention operation data acquisition module 40 is used to: obtain multiple operation process nodes corresponding to the training scenario; divide the multiple operation process nodes, and output non-intervention operation process nodes and intervention operation process nodes; the simulation assessment device uses the multiple intervention signals to intervene in the operation process of the current assessee in turn at the non-intervention operation process nodes and the intervention operation process nodes.

[0033] Specifically, the specific operation steps or links that the examiner needs to perform in the training scenario are determined. These steps or links constitute the operation process nodes, and each node represents a specific operation content. After all the operation process nodes are obtained, these nodes are divided into non-intervention operation process nodes and intervention operation process nodes according to preset rules or conditions. The operation steps or links represented by the non-intervention operation process nodes will not be directly affected by the intervention signal during the simulation assessment process, and the examiner can operate according to the normal process. The operation steps or links represented by the intervention operation process nodes will be directly affected by the intervention signal during the simulation assessment process, and the examiner needs to operate under the action of the intervention signal. After the operation process nodes are divided, the simulation assessment device will perform operation intervention on the examiner in turn on the non-intervention operation process nodes and the intervention operation process nodes according to the preset intervention signal. On the non-intervention operation process nodes, the examiner can operate according to the normal process, and the system will not perform any intervention. On the intervention operation process nodes, the system will intervene in the examiner's operation according to the preset intervention signal, such as changing environmental parameters, introducing emergencies, etc. This implementation method divides the operation process nodes into non-intervention and intervention parts, which can more accurately control the timing and method of implementing the intervention signal, thereby improving the pertinence and effectiveness of the training.

[0034] The assessment and scoring module 50 is used to input the non-intervention operation data set and the multiple intervention operation data sets into the assessment and scoring model to obtain the non-intervention operation scoring results and the intervention operation scoring results, wherein the assessment and scoring model includes a non-intervention assessment scoring branch and an intervention assessment scoring branch. Specifically, the non-intervention operation data set and the intervention operation data set are scored using a pre-trained assessment and scoring model (a model used to evaluate the operational performance of the assessor, including a machine learning algorithm, a rule engine, etc.), and the model scores according to preset scoring criteria (such as accuracy, efficiency, safety, etc.), and outputs the non-intervention operation scoring results and the intervention operation scoring results. Among them, the non-intervention assessment scoring branch is a scoring path for processing the non-intervention operation data set, and the intervention assessment scoring branch is a scoring path for processing the intervention operation data set.

[0035] In one possible implementation, the assessment and scoring module 50 is used to: compare the non-intervention operation data set according to the non-intervention assessment branch of the assessment and scoring model, obtain the completion degree by comparing it with the pre-stored standard operation data set, and obtain the non-intervention operation completion degree; and output the non-intervention operation scoring result according to the non-intervention operation completion degree.

[0036] Specifically, the assessment and scoring module 50 receives an unintervention operation data set from the simulation assessment device, and the data set contains the operation data of the assessor without being affected by any intervention signal. A set of standard operation data sets is pre-stored in the assessment and scoring module 50, and the data set represents the best practices or expected operation procedures for the operation of the thermal power unit. The assessment and scoring module 50 compares the unintervention operation data set with the standard operation data set, and analyzes the difference between the assessor's operation and the standard operation. Through the comparison, the assessment and scoring module 50 calculates the completion of the unintervention operation data set and the standard operation data set, and the completion is a quantitative indicator used to measure the degree of closeness between the assessor's operation and the standard operation. The calculation of the completion is based on multiple dimensions, such as the accuracy of the operation, the completeness of the operation, the order of the operation, etc. According to the calculated completion, the assessment and scoring module 50 outputs the unintervention operation scoring result in the unintervention assessment branch, and the scoring result can be a specific score or grade, which is used to represent the operation level of the assessor in the unintervention state. This implementation method ensures the objectivity and consistency of the scoring process by comparing the standard operation data set. The calculation of completion is based on multiple dimensions, which fully reflects the operation level of the assessor and improves the accuracy of the scoring. At the same time, by comparing the standard operation data set, it can guide the assessor to move closer to the standard operation, which promotes the standardization and regularization of operations.

[0037] In one possible implementation, the assessment and scoring module 50 is used to: compare the multiple intervention operation data sets according to the intervention assessment and scoring branch of the assessment and scoring model, obtain and analyze the pre-stored standard operation data sets, obtain the sudden task operation completion degree and the sudden task response capability; output the intervention operation scoring result according to the sudden task operation completion degree and the sudden task response capability.

[0038] Specifically, the assessment and scoring module 50 receives multiple intervention operation data sets from the simulation assessment device, and these data sets contain the operation data of the assessor under the influence of different intervention signals. A set of standard operation data sets is pre-stored in the assessment and scoring module 50, which represents the best practices or expected operation procedures of the thermal power unit operation. For each intervention operation data set, the assessment and scoring module 50 compares it with the standard operation data set to analyze the difference between the assessor's operation under the emergency task and the standard operation. Through comparison, the assessment and scoring module 50 analyzes the operational completion of the assessor under the emergency task, including the accuracy and completeness of the operation and whether the necessary operations are performed in accordance with the standard process. The operation completion is a quantitative indicator used to measure the operational level of the assessor under the emergency task. In addition to the operation completion, the assessment and scoring module 50 also evaluates the assessor's reaction ability under the emergency task, including the speed of identifying the emergency task, the strategy for dealing with the emergency task, and the calmness when handling the emergency task. The reaction ability is a comprehensive evaluation indicator used to measure the adaptability and psychological quality of the assessor under the emergency task. According to the evaluation results of the emergency task operation completion degree and the emergency task reaction ability, the assessment scoring module 50 outputs the intervention operation scoring result in the intervention assessment evaluation branch. The scoring result can be a specific score or grade, which is used to indicate the operation level and reaction ability of the assessor under the emergency task. This implementation method can encourage the assessor to improve the adaptability and psychological quality by evaluating the reaction ability of the assessor under the emergency task, improve the practicality and accuracy of the assessment, and provide guidance for subsequent training.

[0039] The assessment report generation module 60 is used to perform weight calculation based on the non-intervention operation scoring result and the intervention operation scoring result to generate an assessment report for the training scenario. Specifically, according to the training objectives and assessment requirements, weights are assigned to different scoring results, and weight calculation is performed based on the non-intervention operation scoring result and the intervention operation scoring result to obtain a comprehensive score. A report generation tool is used to generate an assessment report containing scoring results, analysis, suggestions, etc. The embodiment of the present application selects a specific training environment of a thermal power unit through a training scenario determination module, enters the selected training scenario into a simulation assessment device, collects an operation data set of the assessor without external intervention, uses an intervention module to generate multiple intervention signals, and inputs these signals into the simulation assessment device in sequence to intervene in the operation process of the assessor, and after each intervention, collects the corresponding intervention operation data set, inputs the non-intervention and intervention operation data sets into an assessment scoring model, and obtains scoring results of non-intervention and intervention operations, respectively, and finally generates an assessment report of the training scenario through weight calculation based on the scoring results of non-intervention and intervention operations, thereby achieving the technical effect of simulating various emergencies and complex working conditions in actual work, comprehensively evaluating the adaptability and decision-making level of trainees under complex working conditions, and providing trainees with more comprehensive and accurate feedback and improvement suggestions.

[0040] In a possible implementation, the simulation assessment device also includes a heart rate monitoring device, which is worn by the assessee; the system also includes an assessment report update module, which is used to: obtain a heart rate monitoring signal set based on the heart rate monitoring device; convert the heart rate monitoring signal set into a signal and output a heart rate monitoring digital signal; perform an assessment psychological assessment on the heart rate monitoring digital signal and output an assessment psychological assessment indicator; and update the assessment report of the training scenario based on the assessment psychological assessment indicator.

[0041] Specifically, the heart rate monitoring device is a device for real-time monitoring of the heart rate of the assessor, and is worn on the assessor. The assessor wears the heart rate monitoring device for practical training, and the heart rate monitoring device records the heart rate changes of the assessor in real time, and generates a heart rate monitoring signal set (a set of heart rate change data generated by the heart rate monitoring device). The signal conversion module in the simulation assessment system converts the heart rate monitoring signal set into a heart rate monitoring digital signal (the heart rate monitoring data after signal conversion is expressed in digital form). The heart rate monitoring digital signal is pre-processed by filtering and denoising to improve the signal quality. The assessment report update module uses a psychological assessment algorithm to analyze the heart rate monitoring digital signal. The algorithm evaluates the psychological pressure, tension and other psychological indicators of the assessor during the practical training process, and outputs the assessment psychological assessment index (an index reflecting the psychological state of the assessor). According to the assessment psychological assessment index, the assessment report update module updates the original practical training scenario assessment report. The updated assessment report not only includes conventional information such as the scoring results of the non-intervention operation and the scoring results of the intervention operation, but also adds the psychological assessment results of the assessor, providing more comprehensive assessment information. This implementation method introduces psychological assessment to comprehensively evaluate the performance of assessees during the training process, helps to understand the assessees' psychological state and ability to cope with pressure, and enhances the practicality of the assessment report.

[0042] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0043] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A simulation assessment system for the practical training of thermal power unit personnel, characterized in that: The system comprises: A training scenario determination module is used to determine the training scenario of the thermal power unit; The non-intervention operation data collection module is used to input the training scenario into the simulation assessment device and collect the non-intervention operation data set of the current assessor; An intervention module, for generating a plurality of intervention signals; An intervention operation data acquisition module is used to input the multiple intervention signals into the simulation assessment device, intervene in the operation process of the current assessor in turn, and obtain multiple intervention operation data sets corresponding to the multiple intervention signals respectively; An assessment and scoring module, used for inputting the non-intervention operation data set and the multiple intervention operation data sets into an assessment and scoring model to obtain a non-intervention operation scoring result and an intervention operation scoring result, wherein the assessment and scoring model includes a non-intervention assessment and scoring branch and an intervention assessment and scoring branch; An assessment report generating module, used for performing weight calculation according to the non-intervention operation scoring result and the intervention operation scoring result to generate an assessment report of the training scenario; The intervention module includes an environment intervention component and an emergency task intervention component, and the intervention module is used to: Sending the information of the training scenario to the intervention module for identification, acquiring multiple environmental intervention signals according to the environmental intervention component, and acquiring multiple emergency task intervention signals according to the emergency task intervention component; generating a plurality of intervention signals according to the plurality of environmental intervention signals and the plurality of emergency task intervention signals; Acquiring multiple environmental intervention signals according to the environmental intervention component, the intervention module is used to: The environmental intervention component performs environmental analysis according to the training scenario to obtain a set of environmental factors that affect the training scenario, wherein the set of environmental factors includes multiple environmental influencing factors, and the degree of influence of each environmental influencing factor is greater than a preset threshold; A preset number of multiple environmental factors are screened from the environmental factor set to generate multiple environmental intervention signals.

2. The simulation assessment system for training personnel of thermal power units according to claim 1, characterized in that: Acquiring a plurality of sudden task intervention signals according to the sudden task intervention component, the intervention module is used for: Acquire a training scenario sample library, wherein the training scenario sample library includes multiple training scenarios; Analyze the historical emergency event samples corresponding to each training scenario in the training scenario sample library, and build an emergency task matching library according to the mapping relationship between each training scenario and the corresponding historical emergency event samples, wherein the emergency task matching library is connected to the emergency task intervention component; The sudden task intervention component performs sudden task identification on the training scenario in the sudden task matching library to obtain a sudden task corresponding to the training scenario; A preset number of multiple burst tasks are screened from the burstable tasks to generate multiple burst task intervention signals.

3. The simulation assessment system for training personnel of thermal power units according to claim 1, characterized in that: The multiple intervention signals are input into the simulation assessment device, and the operation process of the current assessor is intervened in turn. The intervention operation data acquisition module is used to: Obtain multiple operation process nodes corresponding to the training scenario; Dividing the multiple operation process nodes, and outputting non-intervention operation process nodes and intervention operation process nodes; The simulation assessment device uses the multiple intervention signals to intervene in the operation process of the current assessor in turn at the non-intervention operation process node and the intervention operation process node.

4. The simulation assessment system for training personnel of thermal power units according to claim 1, characterized in that: The assessment and scoring module is used to: Comparing the non-intervention operation data set according to the non-intervention assessment branch of the assessment scoring model, obtaining a completion degree comparison with a pre-stored standard operation data set, and obtaining the non-intervention operation completion degree; According to the non-intervention operation completion degree, a non-intervention operation scoring result is output.

5. The simulation assessment system for training personnel of thermal power units according to claim 4, characterized in that: The assessment and scoring module is used to: Comparing the plurality of intervention operation data sets according to the intervention assessment branch of the assessment scoring model, obtaining and analyzing the pre-stored standard operation data sets, and obtaining the emergency task operation completion degree and the emergency task response capability; Output the intervention operation scoring result according to the sudden task operation completion degree and the sudden task response capability.

6. The simulation assessment system for training personnel of thermal power units according to claim 1, characterized in that: The simulation assessment device also includes a heart rate monitoring device, which is worn by the assessee; The system further includes an assessment report updating module, which is used to: According to the heart rate monitoring device, obtaining a heart rate monitoring signal set; Convert the heart rate monitoring signal set into a digital heart rate monitoring signal. Performing a psychological assessment on the heart rate monitoring digital signal and outputting a psychological assessment indicator; The assessment report of the training scenario is updated according to the assessment psychological evaluation indicators.

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