Thermal control comprehensive practical training system based on DCS control

Abstract

The invention discloses a thermal control comprehensive practical training system based on DCS control, and relates to the technical field of thermal control comprehensive practical training, and the system comprises a DCS control practical training unit which is used for building an intelligent DCS control skill practical training room and is developed based on a domestic autonomous controllable DCS control system from the four aspects of decoration layout, a control system, an entity process object and a virtual process object. The thermal control maintenance training unit realizes the multifunctional operation of DCS hardware and system maintenance, DCS software configuration and debugging, control system design and optimization, on-site actual equipment adjustment and calibration and fault diagnosis and analysis, and is used for constructing a professional thermal control maintenance training room covering all thermal control maintenance contents. On the basis of practical training room construction, the intelligent level of the practical training room is comprehensively improved, the training function is expanded, the artificial intelligence technology is introduced into the practical training room construction process, deep recognition and learning of training equipment are completed through the intelligent technology, and intelligentization, real-time performance and scoring autonomy of the training process are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal control comprehensive training, and in particular to a thermal control comprehensive training system based on DCS control. Background Art

[0002] Although there are some thermal control training systems on the market, most of them have relatively limited functions and can only meet the training needs of some thermal control skills, but cannot provide training for the full range of thermal control skills. For example, some systems mainly focus on training thermal instrumentation, but have weak training functions for automatic control systems and fault diagnosis of thermal control equipment.

[0003] Most existing thermal control training systems lack self-scoring capabilities, making it impossible to comprehensively and objectively evaluate trainees' learning outcomes and operational skills. The evaluation of training effectiveness relies primarily on the instructor's subjective judgment, lacking scientificity and accuracy. Similar issues exist in existing judging systems for competitions, with unclear criteria and a lack of transparency in the judging process, which can easily lead to controversy.

[0004] Some thermal control training systems still use traditional teaching methods and means, with a low level of technology and intelligence. The system interface is not user-friendly enough, the operation is not convenient enough, and it cannot provide a good user experience. At the same time, the system lacks real-time monitoring and analysis functions of trainees' learning data, and cannot adjust the training plan in time to enhance the training effect. Summary of the Invention

[0005] The purpose of the present invention is to provide a comprehensive thermal control training system based on DCS control to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solutions: a DCS-based thermal control comprehensive training system, comprising:

[0007] The DCS control training unit is used to build an intelligent DCS control skills training room. It is based on the domestically produced independently controllable DCS control system and carries out training in four aspects: decoration layout, control system, physical process objects and virtual process objects. It realizes the multifunctional operation of DCS hardware and system maintenance, DCS software configuration and debugging, control system design and optimization, on-site actual equipment adjustment, and fault diagnosis and analysis.

[0008] Thermal control maintenance training unit, used to build a professional thermal control maintenance training room, covering all thermal control maintenance content;

[0009] The thermal control instrument training unit is used to build an intelligent metrology training room. The training room is mainly equipped with pressure instrument and temperature instrument calibration equipment, and an indoor environment that meets metrology requirements.

[0010] Comprehensive intelligent training units use intelligent technology to improve the intelligence level of the training base and build smart and digital comprehensive intelligent training rooms, that is, build an intelligent integrated teaching and evaluation system to achieve full coverage of the teaching process, and build a platform that provides intelligent and personalized teaching services.

[0011] Preferably, the DCS control training unit includes the following modules:

[0012] Virtual-reality combination module, used to realize the combination of actual equipment and virtual thermal process;

[0013] Process modeling module, used to implement online, interactive process modeling methods;

[0014] Model extension module, responsible for calling flexible extension model library software;

[0015] Operation and maintenance module, used for DCS hardware operation and system maintenance;

[0016] DCS software configuration and debugging module is used for system configuration training.

[0017] Preferably, the DCS control training unit further includes a control system design optimization module, an on-site actual equipment adjustment module, a fault diagnosis and analysis module, and a thermal test module.

[0018] Preferably, the virtual process object uses modern simulation technology to construct a complex virtual simulation object based on the physical object, and combines the virtual simulation object with the DCS control system and the physical object to achieve virtual-real interconnection. A minimum DCS control system composed of a pair of redundant DPU control cabinets constructs a virtual-real combined thermal control simulation architecture. The DPU control cabinet is connected to the real device through the I / O channel. The DPU control cabinet, object model server, modeling workstation, DCS engineer station, and DCS operation station are connected using industrial Ethernet to achieve interconnection between the object model server, modeling workstation and DCS control system.

[0019] Preferably, the simulation model of the object model server takes the typical units of 300MW, 600MW and 1000MW of the State Energy as reference objects, and is composed of on-site production real-time database software, DCS control software, PLC control software, DCS screen display software, model library software and various communication software. Real-time production data realizes one-way communication through the network gateway, and the on-site production data flows one-way, realizing the real-time display and playback function of production data, which is used for on-site accident diagnosis and production data analysis and optimization. In the minimum DCS control system, the DPU and the DCS screen adopt two-way communication. The data collected by the DPU is sent to the real-time screen for display, and operation instructions are also sent to the DPU through the real-time screen. Two-way communication is adopted between the simulation model software and the DPU.

[0020] Preferably, the intelligent integrated teaching and evaluation system utilizes an artificial intelligence system to score the thermal control training and competition process, and establishes an independent scoring system for the thermal control competition, including:

[0021] Data acquisition module: responsible for collecting experimental data from thermal engineering competitions, collecting data in real time through sensors and cameras, and transmitting the data to the data processing module for processing;

[0022] Data processing module: pre-processes the collected experimental data to ensure the accuracy and completeness of the data, providing a reliable basis for subsequent analysis and scoring;

[0023] Self-scoring module: Scores the processed experimental data and objectively and accurately evaluates the participants' experimental performance based on preset scoring standards and algorithms;

[0024] Result display module: The scoring results are displayed in an intuitive manner, and a detailed scoring report is provided to help contestants understand their strengths and weaknesses.

[0025] Preferably, the thermal control competition autonomous scoring system includes the following implementation steps:

[0026] Step 1: Data preparation: Collect and organize experimental data from thermal engineering competitions, including historical data and real-time data;

[0027] Step 2: Model training: Use machine learning algorithms to train and learn the collected experimental data to establish a scoring model. During the training process, continuously adjust the model parameters to improve the accuracy and stability of the scoring;

[0028] Step 3: System testing: Before formal use, the automatic scoring system is fully tested, including the stability, accuracy, and reliability of the system;

[0029] Step 4: Deploy the application: Deploy the automatic scoring system into the scoring environment of the thermal control competition and integrate it with the existing scoring system or equipment. During the deployment process, ensure the security and compatibility of the system.

[0030] Preferably, the teaching service platform is developed based on the artificial intelligence teaching system design plan, and the teaching system architecture design includes the front-end interface, back-end service and data interface, as well as intelligent dialogue module, personalized learning module, intelligent question-answering module, intelligent evaluation module and resource recommendation module.

[0031] Preferably, the thermal control maintenance training unit includes the maintenance of conventional thermal control equipment and the use of tool maintenance boxes, as well as electric actuators, pneumatic actuators, pipes and valves, primary instruments, secondary instruments, and control loop wiring. There are three types of training room actuator layouts. The first type is a multi-turn electric actuator that does not contain an adjustment function and has a split structure. The control part is in the split cabinet and is connected to the DCS control skills training room signal switching cabinet. The second type is an adjustable electric actuator with a bracket that supports the adjustment function. The signal part is connected to the DCS control skills training room signal switching cabinet. The third type is a pneumatic actuator with a bracket positioner, and the signal part is connected to the DCS control skills training room signal switching cabinet. In addition, the secondary instruments include all thermal control secondary equipment and instruments such as spring tube pressure gauges, pressure transmitters, flow meters, thermocouples, and thermal resistors, including primary and secondary doors.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] 1. The core goal of this invention is to provide training for a full range of thermal control skills, meet the competition requirements of thermal control professionals, develop software with independent scoring functions, enhance the professionalism of training and ensure the fairness of competitions, thereby significantly improving the technological and intelligent level of the entire training base;

[0034] 2. Based on the core objectives, this invention takes the EDPF system of the Guoneng Zhishen self-controllable DCS as the core, develops virtual-real process control objects, and develops advanced domestic self-controllable DCS skills training devices for thermal control personnel. Thermal control personnel can use this training device to carry out various thermal instruments, thermal control equipment, logical configuration, complex control process optimization and various software and hardware operation training. On this basis, thermal control maintenance training rooms and thermal control metering training rooms are built;

[0035] 3. Based on the construction of training rooms, the present invention comprehensively improves the intelligent level of training rooms, expands training functions, introduces artificial intelligence technology into the construction process of training rooms, uses intelligent technology to complete in-depth recognition and learning of training equipment, realizes the intelligent and real-time training process and autonomous scoring, and expands the functions of the training system. It can not only meet the daily training and competition needs of thermal control professionals, but also serve as a complete industrial control network and can be used as a test base for network security attack and defense drills;

[0036] 4. This invention utilizes intelligent technology to comprehensively improve the intelligence level of the training rooms by constructing intelligent DCS control skills training rooms, intelligent thermal control maintenance training rooms, intelligent thermal control instrumentation training rooms, and comprehensive intelligent training rooms. This has enabled the training rooms to comprehensively improve their intelligence level in terms of thermal control personnel skill level assessment, training course and program setting, training process management, and training effect evaluation, making them a leader among similar training bases.

[0037] 5. The thermal control simulation model mainly consists of two parts: one is the control system and the other is the object model. The control system mainly adopts the National Energy Zhishen EDPF-2000NT control system to ensure consistency with the actual operation control system of the on-site unit. All control schemes are based on the National Energy 300MW, 600MW, and 1000MW typical units as reference objects to ensure the stability and rationality of the control scheme. Thermal control professionals can quickly get started during training and use it, which increases the motivation of thermal control personnel to learn. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A schematic diagram of the overall system structure provided by an embodiment of the present invention;

[0039] Figure 2 A module block diagram and implementation process diagram of the thermal control competition autonomous scoring system provided by an embodiment of the present invention;

[0040] Figure 3 A schematic diagram of a virtual-real combined thermal control simulation architecture provided by an embodiment of the present invention;

[0041] Figure 4 A schematic diagram of the data flow of a virtual-reality combined thermal control simulation model provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0043] See also Figures 1 to 4 The present invention provides a technical solution: a comprehensive thermal control training system based on DCS control, comprising:

[0044] The DCS control training unit is used to build an intelligent DCS control skills training room. It is based on the domestically produced independently controllable DCS control system and carries out training in four aspects: decoration layout, control system, physical process objects and virtual process objects. It realizes the multifunctional operation of DCS hardware and system maintenance, DCS software configuration and debugging, control system design and optimization, on-site actual equipment adjustment, and fault diagnosis and analysis.

[0045] Decoration layout: formulate scientific decoration layout according to on-site equipment and environmental safety standards;

[0046] DCS control system: uses the Guoneng Zhishen EDPF-2000NT control system hardware and software, including PROFIBUS-DP fieldbus, industrial Ethernet, RS-485 and hard wiring technologies;

[0047] Physical process objects: Develop three sets of physical process objects based on the external object of the full-process water supply system of a 1000MW unit;

[0048] The physical process device simulates the condenser, deaerator, and water side of the boiler, including the following equipment: water tank, feedwater pump, electric heater, air-cooled cooler, regulating gate, shut-off gate, and pressure-bearing pipes to connect the equipment; control equipment and instrumentation include regulating electric actuators, shut-off electric actuators, pneumatic actuators, motors, electric heaters, frequency converters, pressure transmitters, pressure switches, liquid level transmitters, flow transmitters, thermal resistor temperature elements, and local pressure and liquid level indicators; communication methods include PROFIBUS-DP, RS485, Industrial Ethernet, and hard wiring;

[0049] Virtual process objects: Developed 60 sets of virtual simulation objects (including 1000MW, 600MW, 300MW, and typical process objects for heating units), which can be integrated and interconnected with physical objects to meet the needs of complex control logic optimization and debugging;

[0050] On the basis of physical objects, modern simulation technology is used to build complex virtual simulation objects, which are then combined with DCS control systems and physical objects to achieve training effects of virtual-real interconnection, virtual-real integration, and virtual-real complementarity.

[0051] refer to Figure 3 The virtual-real thermal control simulation architecture consists of a pair of redundant DPU control cabinets forming a minimum DCS control system. The DPU control cabinet is connected to real devices such as motors, inverters, instruments, and actuators through I / O channels. The DPU control cabinet, object model server, modeling workstation, DCS engineer station, and DCS operation station are connected using industrial Ethernet to achieve interconnection between the object model server, modeling workstation, and DCS control system. The object model server provides various object sub-models of the thermal power plant for selection, which is conducive to thermal control simulation control for a specific object. The model can be selected and called on the modeling workstation.

[0052] The thermal control maintenance training unit is used to build a professional thermal control maintenance training room, including the maintenance of conventional thermal control equipment and the use of tool maintenance boxes. It covers all thermal control maintenance contents, including electric actuators, pneumatic actuators, pipelines and valves, primary instruments, secondary instruments, and control circuit wiring;

[0053] There are three types of actuators in the training room. The first type is a multi-turn electric actuator without adjustment function and a split structure. The control part is in the split cabinet and is connected to the DCS control skills training room signal switching cabinet. The second type is an adjustment electric actuator (including a bracket) with adjustment function and the signal part is connected to the DCS control skills training room signal switching cabinet. The third type is a pneumatic actuator (including a bracket positioner) with the signal part connected to the DCS control skills training room signal switching cabinet.

[0054] Secondary instruments include all thermal control secondary equipment and instruments such as spring tube pressure gauges, pressure transmitters, flow meters, thermocouples, thermal resistors, including primary and secondary gates;

[0055] The thermal control instrument training unit is used to build an intelligent metrology training room. The training room is mainly equipped with pressure instrument and temperature instrument calibration equipment, and an indoor environment that meets metrology requirements.

[0056] The scope of thermal control instrument measurement training includes the main thermal power metering instruments such as temperature, pressure, flow, etc., the types, structures, principles and troubleshooting and maintenance of commonly used thermal control instruments, and the calibration, replacement and diagnosis of commonly used thermal control instruments.

[0057] Comprehensive intelligent training units use intelligent technology to improve the intelligence level of the training base and build smart and digital comprehensive intelligent training rooms, that is, build an intelligent integrated teaching and evaluation system to achieve full coverage of the teaching process, and build a platform that can provide intelligent and personalized teaching services.

[0058] The present invention will be further described below in conjunction with Examples 1 to 4:

[0059] Example 1:

[0060] This embodiment is used to describe the technical features, functions, and implementation methods of the DCS control training unit, specifically including:

[0061] Virtual-reality combination module, used to realize the combination of actual equipment and virtual thermal process;

[0062] Thermal control technicians can choose to use real on-site equipment instead of virtual equipment to participate in system debugging. If real equipment is chosen, such as a control valve, this real control valve can be used as a device in the simulation model to participate in regulation, such as the outlet control valve of a pump. In this way, any operation on the real equipment will also affect the calculation of the model, such as on-site operation, so that the real equipment and virtual model are organically combined.

[0063] Process modeling module, used to implement online, interactive process modeling methods;

[0064] The model management software is run on the modeling engineer station. The training personnel select the model to be connected on the model management software. After the user selects the required model, the model management software sends a command to the model library. The corresponding model is then called from the model library. At the same time, the system provides the system configuration requirements and corresponding I / O for the user to use. No programming language is required during the modeling process. The modeler only needs to select the appropriate modules and connect them to generate a complete system model. The production process model established in a modular way can be modified in various ways online and interactively.

[0065] Model extension module, responsible for calling flexible extension model library software;

[0066] The model library software is an expandable library that can provide corresponding models for use according to user needs. Currently, the model library contains classic control objects, all thermal power plant closed-loop objects, and some typical controlled objects. Through continuous supplementation and expansion, control objects of other systems can be added to meet the needs of different disciplines.

[0067] Operation and maintenance module, used for DCS hardware operation and system maintenance;

[0068] It mainly includes hardware operation and system maintenance, such as: DCS system installation, I / O configuration; DCS hardware reliability inspection and replacement; redundant DPU non-disruptive switching test switching; process signal forcing; configuration loading and unloading, system backup and other routine operations, in order to improve the maintenance skills of thermal workers;

[0069] DCS software configuration and debugging module, used for system configuration training;

[0070] Several sub-models are provided on the model machine, such as the operation screens and control logic configurations of various MCS and SCS subsystems. Thermal control personnel complete the entire process from operation screen configuration, logic configuration, and on-site equipment system joint debugging. This function helps thermal control personnel fully master logic configuration and optimization, and become familiar with and understand the closed-loop objects and characteristics of thermal power plants.

[0071] The control system design and optimization module allows thermal control technicians to conduct various control system research and design tasks on the simulation and training platform, such as control system simulation research, configuration analysis, and control system parameter optimization.

[0072] The on-site actual equipment calibration module is responsible for plugging in a number of actual on-site equipment, such as actuators, frequency converters, and various transmitters. It can carry out debugging and adjustment of the external equipment, and then connect the actual equipment to the DPU through signal cables and terminal blocks. Through this training, thermal engineering personnel can master the debugging and adjustment of related on-site equipment, system wiring and configuration, and system joint debugging.

[0073] The fault diagnosis and analysis module is used to set certain faults. By analyzing and eliminating historical data, it can point out the direction and possible causes of the faults. It is used to train the fault elimination and analysis capabilities of thermal workers. For example, it simulates interference with certain thermal signals, and the thermal workers can obtain the corresponding correct conclusions through data analysis.

[0074] Thermal test module, thermal engineers can conduct various thermal tests in the device, such as: test experiment of object mathematical model, single closed-loop system experiment, cascade control system experiment, three-impulse control system experiment, ratio control system experiment, feedforward-feedback control system experiment, etc.

[0075] Example 2:

[0076] This embodiment is used to study the object model server, that is, the virtual-real thermal control simulation model. The thermal control simulation model is mainly based on the typical units of 300MW, 600MW and 1000MW capacity of the State Energy Corporation as reference objects. Figure 4 Displayed data flow;

[0077] The simulation model software mainly consists of on-site production real-time database software, DCS control software, PLC control software, DCS screen display software, model library software and various communication software;

[0078] Real-time production data is communicated in one direction through the gateway, flowing from on-site production data to the system in one direction, enabling real-time display and playback of production data for on-site accident diagnosis and production data analysis and optimization;

[0079] In the minimum DCS control system, the DPU and the DCS screen use two-way communication. The data collected by the DPU is sent to the real-time screen for display, and operation instructions can also be sent to the DPU through the real-time screen. The simulation model software and the DPU also use two-way communication. The DPU's equipment operation instructions, such as valve position instructions and motor start and stop instructions, are sent to the model software through the OPC communication protocol. After calculation, the model software sends the equipment status and parameters to the DPU for display; valve position, motor status, and water tank water level, etc.

[0080] Actual on-site equipment, such as control valves, motors, and inverters, communicate bidirectionally with the DPU, receiving DPU control instructions through signal lines and IO terminals and feeding back status to the DPU. The actual equipment also sends its status to the object model server through signal lines. The object model server then synchronizes the simulation objects of the actual equipment. By synchronizing the states of the virtual and actual objects, coupling between the actual objects and the virtual system can be achieved.

[0081] In the thermal control configuration training management software, some classic control cases as well as all closed-loop objects and some sequential control objects of thermal power plants are implemented. Users can select different sub-objects according to their needs to perform upper computer configuration, control strategy configuration and debugging. At the same time, it supports different DCS and PLC systems, and has developed a unified and developed data interface. All intelligent devices that meet the corresponding communication interface can be connected to the system, and the control systems can be integrated with each other to meet the needs of different users.

[0082] Example 3:

[0083] This embodiment is used to build a set of intelligent integrated teaching and assessment systems to meet the following requirements: A thermal control skill talent scoring system is established through theoretical assessments, practical assessments, etc., to score the skills of thermal control skill talents and provide direction guidance for subsequent training; information technology is used to track and manage the entire thermal control training process and provide technical guidance and support for the entire process; intelligent recognition technology is used to identify and warn of incorrect and illegal behaviors in the thermal control training process, prompt and provide pre-training education on dangerous and risky points, supervise the entire training process, and ensure the safety of the training process; automatic scoring function is provided for complex training such as thermal control logic configuration and automatic adjustment to meet the needs of daily training and competitions;

[0084] The teaching and evaluation system can achieve a more human-free and intelligent thermal control maintenance training, including student management, safety education, auxiliary teaching and intelligent assessment. Before training, students use the system to learn relevant professional basic knowledge, safety knowledge and key operating points. During training, they can seek help and technical support from the system, which can identify and correct typical violations and operational errors in the training process. After the training, the system provides teaching scoring and assessment. The intelligent integrated teaching and evaluation system can achieve full coverage of the teaching process and realize the intelligent and smart transformation of traditional thermal control maintenance training.

[0085] Using artificial intelligence systems to score thermal control training and competitions solves the long-standing problem of over-reliance on manual judging in thermal control skills training and competitions.

[0086] The thermal control competition independent scoring system mainly includes the following modules:

[0087] Data acquisition module: responsible for collecting experimental data from thermal engineering competitions, including experimental videos, experimental parameters, experimental results, etc. These data can be collected in real time through sensors, cameras and other equipment, and transmitted to the system for processing;

[0088] Data processing module: pre-processes the collected experimental data, including data cleaning, feature extraction and other steps. This module can ensure the accuracy and completeness of the data and provide a reliable basis for subsequent analysis and scoring;

[0089] Self-scoring module: This module uses machine learning or deep learning algorithms to score the processed experimental data. This module can objectively and accurately evaluate the experimental performance of the contestants based on preset scoring criteria and algorithms.

[0090] Results display module: This module displays the scoring results in an intuitive manner, including scores, rankings, and other information. It also provides detailed scoring reports to help participants understand their strengths and weaknesses.

[0091] And use the following key techniques to obtain data:

[0092] Among them, the experimental video data collected by the camera is used to extract key information of the experimental process through image recognition technology, such as the status of the experimental equipment, the steps of the experimental operation, etc. This information can serve as an important basis for scoring;

[0093] Use machine learning algorithms, such as support vector machines and neural networks, to train and learn experimental data to establish an accurate scoring model that can automatically output scoring results based on the input experimental data;

[0094] Develop detailed scoring criteria based on the characteristics and requirements of thermal engineering competitions. The scoring criteria include the standardization of experimental operations, the accuracy of experimental results, and the completeness of experimental data. At the same time, the scoring criteria should also be operational and measurable to facilitate automatic scoring by the AI ​​system.

[0095] The specific implementation steps are as follows:

[0096] Step 1: Data preparation: Collect and organize experimental data from thermal engineering competitions, including historical and real-time data. This data should be representative and comprehensive, reflecting the actual level of the contestants.

[0097] Step 2: Model training: Use machine learning algorithms to train and learn the collected experimental data to establish a scoring model. During the training process, it is necessary to continuously adjust the model parameters to improve the accuracy and stability of the scoring.

[0098] Step 3: System Testing: Before official use, the AI ​​automatic scoring system is fully tested. The test content includes the system's stability, accuracy, reliability, etc. Through testing, problems in the system can be discovered and fixed in a timely manner;

[0099] Step 4: Deploy the application: Deploy the automatic scoring system into the scoring environment of the thermal control competition and integrate it with the existing scoring system or equipment. During the deployment process, the security and compatibility of the system must be ensured.

[0100] Example 4:

[0101] This example describes the design of an artificial intelligence teaching system. It aims to utilize Large Language Model (LLM) technology, combined with knowledge and data from the thermal control field, to build a platform that provides intelligent and personalized teaching services.

[0102] System architecture design includes front-end interface, back-end services and data interface, as well as related functional modules;

[0103] Front-end interface: Design a user-friendly front-end interface, including login, registration, course selection, chat dialog box and other functions. The interface should be concise and easy to operate.

[0104] Backend services: Utilize large-scale language models to provide conversational services, while integrating with databases to store user information, learning progress, and other data. Backend services also include user management, course management, and chat history management.

[0105] Data interface: The front-end and back-end communicate through the data interface to ensure the real-time and accuracy of the data;

[0106] Intelligent Conversation Module: This module uses a large language model for conversation generation and fine-tunes the model to make it more suitable for educational scenarios. It receives students' questions and requests and generates answers and suggestions that meet educational standards.

[0107] Personalized learning module: Analyzes students' learning data and uses machine learning algorithms to recommend personalized learning content and paths based on students' learning progress and abilities;

[0108] Intelligent Question Answering Module: Utilizes large-scale language models to understand questions and generate answers, combined with knowledge graphs to verify and optimize answers, automatically answering students' questions and providing relevant explanations and answers;

[0109] Intelligent Assessment Module: Utilizes natural language processing technology and machine learning algorithms to analyze and evaluate text, automatically grading and evaluating students' assignments and tests, and providing feedback and suggestions based on pre-set assessment criteria.

[0110] Resource recommendation module: Analyzes students' learning data and browsing history, uses collaborative filtering or content recommendation algorithms to recommend resources, and recommends relevant learning resources and activities based on students' needs and interests;

[0111] And use the following technologies to implement module functions:

[0112] Front-end technology: Use front-end frameworks such as React or Vue to build user interfaces and ensure interface responsiveness and user experience;

[0113] Back-end technology: Use back-end languages ​​such as Node.js or Java to develop server-side logic, combined with frameworks such as Express or Spring for routing and database operations.

[0114] Large language model: Use a large language model for dialogue generation and text processing, and communicate with backend services through API interfaces.

[0115] Database technology: Use databases such as MySQL or MongoDB to store user information, learning progress and other data to ensure data persistence and security;

[0116] System testing and optimization are as follows:

[0117] Functional testing: Test each functional module of the system to ensure the correctness and completeness of the functions;

[0118] Performance testing: testing the system's response time, concurrency, etc. to ensure the system's stability and reliability under high load;

[0119] User experience testing: Invite some users to try out the product, collect feedback and make optimizations;

[0120] Continuous optimization: Continuously optimize and upgrade the system based on user feedback and technological development.

[0121] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0122] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A comprehensive thermal control training system based on DCS control, characterized by: include: The DCS control training unit is used to build an intelligent DCS control skills training room. It is based on the domestically produced independently controllable DCS control system and carries out training in four aspects: decoration layout, control system, physical process objects and virtual process objects. It realizes the multifunctional operation of DCS hardware and system maintenance, DCS software configuration and debugging, control system design and optimization, on-site actual equipment adjustment, and fault diagnosis and analysis. Thermal control maintenance training unit, used to build a professional thermal control maintenance training room, covering all thermal control maintenance content; The thermal control instrument training unit is used to build an intelligent metrology training room. The training room is mainly equipped with pressure instrument and temperature instrument calibration equipment, and an indoor environment that meets metrology requirements. Comprehensive intelligent training units use intelligent technology to improve the intelligence level of the training base and build smart and digital comprehensive intelligent training rooms, that is, build an intelligent integrated teaching and evaluation system to achieve full coverage of the teaching process, and build a platform that provides intelligent and personalized teaching services.

2. The DCS-based thermal control comprehensive training system according to claim 1 is characterized by: The DCS control training unit includes the following modules: Virtual-reality combination module, used to realize the combination of actual equipment and virtual thermal process; Process modeling module, used to implement online, interactive process modeling methods; Model extension module, responsible for calling flexible extension model library software; Operation and maintenance module, used for DCS hardware operation and system maintenance; DCS software configuration and debugging module is used for system configuration training.

3. The DCS-based thermal control comprehensive training system according to claim 2 is characterized by: The DCS control training unit also includes a control system design optimization module, an on-site actual equipment adjustment module, a fault diagnosis and analysis module, and a thermal test module.

4. The DCS-based thermal control comprehensive training system according to claim 1 is characterized by: The virtual process object uses modern simulation technology to construct a complex virtual simulation object based on the physical object, and combines the virtual simulation object with the DCS control system and the physical object to achieve virtual-real interconnection. A minimum DCS control system composed of a pair of redundant DPU control cabinets constructs a virtual-real combined thermal control simulation architecture. The DPU control cabinet is connected to the real device through the I / O channel. The DPU control cabinet, object model server, modeling workstation, DCS engineer station, and DCS operation station are connected using industrial Ethernet to achieve interconnection between the object model server, modeling workstation and DCS control system.

5. The DCS-based thermal control comprehensive training system according to claim 4 is characterized by: The simulation model of the object model server uses the typical 300MW, 600MW, and 1000MW capacity units of the State Energy Corporation as reference objects, and is composed of on-site production implementation database software, DCS control software, PLC control software, DCS screen display software, model library software, and various communication software. Real-time production data is communicated in one direction through a network gateway, and on-site production data flows in one direction, realizing real-time display and playback functions of production data for on-site accident diagnosis and production data analysis and optimization. In the minimum DCS control system, the DPU and the DCS screen adopt two-way communication. The data collected by the DPU is sent to the real-time screen for display, and operation instructions are also sent to the DPU through the real-time screen. Two-way communication is adopted between the simulation model software and the DPU.

6. The DCS-based thermal control comprehensive training system according to claim 1 is characterized by: The intelligent integrated teaching and evaluation system uses an artificial intelligence system to score the thermal control training and competition process, and establishes an independent scoring system for thermal control competitions, including: Data acquisition module: responsible for collecting experimental data from thermal engineering competitions, collecting data in real time through sensors and cameras, and transmitting the data to the data processing module for processing; Data processing module: pre-processes the collected experimental data to ensure the accuracy and completeness of the data, providing a reliable basis for subsequent analysis and scoring; Self-scoring module: Scores the processed experimental data and objectively and accurately evaluates the participants' experimental performance based on preset scoring standards and algorithms; Result display module: The scoring results are displayed in an intuitive manner, and a detailed scoring report is provided to help contestants understand their strengths and weaknesses.

7. The DCS-based thermal control comprehensive training system according to claim 6 is characterized by: The thermal control competition autonomous scoring system includes the following implementation steps: Step 1: Data preparation: Collect and organize experimental data from thermal engineering competitions, including historical data and real-time data; Step 2: Model training: Use machine learning algorithms to train and learn the collected experimental data to establish a scoring model. During the training process, continuously adjust the model parameters to improve the accuracy and stability of the scoring; Step 3: System testing: Before formal use, the automatic scoring system is fully tested, including the stability, accuracy, and reliability of the system; Step 4: Deploy the application: Deploy the automatic scoring system into the scoring environment of the thermal control competition and integrate it with the existing scoring system or equipment. During the deployment process, ensure the security and compatibility of the system.

8. The DCS-based thermal control comprehensive training system according to claim 1 is characterized by: The teaching service platform is based on the artificial intelligence teaching system design plan. The teaching system architecture design includes the front-end interface, back-end service and data interface, as well as intelligent dialogue module, personalized learning module, intelligent question-answering module, intelligent evaluation module and resource recommendation module.

9. The DCS-based thermal control comprehensive training system according to claim 1 is characterized by: The thermal control maintenance training unit includes the maintenance of conventional thermal control equipment and the use of tool maintenance boxes, as well as electric actuators, pneumatic actuators, pipelines and valves, primary instruments, secondary instruments, and control loop wiring. There are three types of actuator layouts in the training room. The first type is a multi-turn electric actuator that does not include an adjustment function and has a split structure. The control part is in the split cabinet and is connected to the signal switching cabinet in the DCS control skills training room. The second type is an adjustable electric actuator with a bracket that supports the adjustment function. The signal part is connected to the signal switching cabinet in the DCS control skills training room. The third type is a pneumatic actuator with a bracket positioner, and the signal part is connected to the signal switching cabinet in the DCS control skills training room. In addition, the secondary instruments include spring tube pressure gauges, pressure transmitters, flow meters, thermocouples, thermal resistors, all thermal control secondary equipment and instruments, including primary and secondary doors.

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