Intelligent thermal engineering equipment monitoring control system

Abstract

The invention relates to the technical field of power plant equipment operation and maintenance, and provides an intelligent thermal engineering equipment monitoring control system which comprises a data acquisition unit, a sensor installation position generation unit, a data processing unit, a control adjustment command correction unit and a model optimization unit. A digital twinborn model is used for optimizing the installation position of a sensor, a real-time result is obtained by substituting the sensor into a monitoring model after preprocessing, and if equipment is unstable, a control command is corrected and the model is optimized, so that the equipment operates stably. According to the invention, the problems of point location dispersion, low data acquisition precision and the like of a traditional monitoring mode are solved, the intelligent degree and the regulation and control precision of the system are improved, and stable operation of thermal engineering equipment and safety of power supply are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant equipment operation and maintenance, and in particular to an intelligent thermal engineering equipment monitoring and control system. Background Art

[0002] In a thermal power plant, the stable operation of thermal engineering equipment is the key to ensuring power supply. However, the traditional manual monitoring method has many shortcomings, such as scattered monitoring points, time-consuming and labor-intensive data collection, low measurement accuracy, and inability to achieve real-time monitoring. These problems not only affect the operating efficiency of the equipment, but also pose a threat to safe production. Therefore, the introduction of intelligent thermal engineering equipment monitoring and control systems has become an inevitable trend in the development of thermal power plants.

[0003] Intelligent thermal engineering equipment monitoring and control systems are usually composed of sensors, data acquisition and processing units, control actuators, and human-machine interfaces. In the thermal field, the intelligent thermal engineering equipment monitoring and control system includes real-time monitoring through various sensors arranged on the thermal equipment, such as temperature sensors, pressure sensors, flow sensors, etc., to collect the equipment's operating data in real time, and process and analyze it. The intelligent thermal engineering equipment monitoring and control system can analyze the collected data in real time according to the preset threshold or algorithm model. When an abnormal situation is found, the system will automatically trigger the early warning or alarm mechanism and promptly notify the operator to handle it, thereby effectively avoiding accidents.

[0004] Although the current intelligent thermal engineering equipment monitoring and control system has made certain progress, there is still a problem of insufficient intelligence in practical applications. For example, the intelligent thermal engineering equipment monitoring and control system can only realize simple data monitoring and early warning functions, but cannot perform deeper data analysis and mining. As the demand for intelligent thermal engineering equipment monitoring and control systems continues to increase, it is necessary for the intelligent thermal engineering equipment monitoring and control system to continuously make adaptive adjustments according to the actual operating conditions, so that the accuracy of the intelligent thermal engineering equipment monitoring and control system is within the range of the preset standards. However, due to the excessive number of detection equipment and operating equipment involved in the intelligent thermal engineering equipment monitoring and control system, the existing technology cannot stably regulate the various equipment involved in the intelligent thermal engineering equipment monitoring and control system. In the process of regulating the intelligent thermal engineering equipment monitoring and control system, errors occur in the operation of the intelligent thermal engineering equipment monitoring and control system. In order to improve the stability of the parameter configuration regulation of the intelligent thermal engineering equipment monitoring and control system, the present invention provides an intelligent thermal engineering equipment monitoring and control system. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides an intelligent thermal engineering equipment monitoring and control system to solve the problem that the prior art cannot stably regulate the various devices involved in the intelligent thermal engineering equipment monitoring and control system due to too many detection devices and operating equipment involved in the intelligent thermal engineering equipment monitoring and control system.

[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: The present invention provides an intelligent thermal engineering equipment monitoring and control system, comprising: A data acquisition unit is used to acquire the operating data of thermal equipment and the monitoring tasks of thermal engineering equipment. The operating data of thermal equipment includes temperature data, pressure data, flow data, liquid level data, speed data, vibration data and noise data. The monitoring tasks of thermal engineering equipment include real-time monitoring tasks, thermal engineering equipment monitoring and early warning tasks, data analysis tasks, data mining tasks and equipment status prediction tasks. The sensor installation position generation unit determines the monitoring equipment used for intelligent thermal engineering equipment monitoring according to the thermal engineering equipment monitoring tasks and the operating data of the thermal engineering equipment, substitutes the monitoring equipment and the thermal engineering equipment monitoring tasks into the preset digital twin model, obtains the preset monitoring equipment installation position information, collects the actual installation position information of the monitoring equipment, compares the actual installation position information of the equipment with the preset monitoring equipment installation position information, obtains the correct information of the monitoring equipment installation position, and collects the data collected by the monitoring equipment corresponding to the correct information of the monitoring equipment installation position; The data processing unit pre-processes the data collected by the monitoring device corresponding to the correct information of the monitoring device installation position to obtain the pre-processed data collected by the monitoring device, and substitutes the pre-processed data collected by the monitoring device into a preset intelligent thermal engineering equipment monitoring model to obtain real-time intelligent thermal engineering equipment monitoring results; The control and adjustment command correction unit compares the real-time intelligent thermal engineering equipment monitoring result with the thermal engineering equipment monitoring task to obtain the real-time monitoring data comparison result. The real-time monitoring data comparison result includes the intelligent thermal engineering monitoring stability and the intelligent thermal engineering instability. If the intelligent thermal engineering is unstable, the intelligent thermal engineering control and adjustment command corresponding to the real-time intelligent thermal engineering equipment monitoring result is corrected to obtain the corrected intelligent thermal engineering adjustment command; The model optimization unit sends the corrected intelligent thermal engineering regulation command to the intelligent thermal engineering equipment, obtains the operating data fed back by the intelligent thermal engineering equipment, compares the operating data fed back by the intelligent thermal engineering equipment with the preset standard parameters of the intelligent thermal engineering equipment, and if the operating data fed back by the intelligent thermal engineering equipment exceeds the preset standard parameter range of the intelligent thermal engineering equipment, optimizes the preset intelligent thermal engineering control and regulation to obtain an optimized intelligent thermal engineering control and regulation model, uses the optimized intelligent thermal engineering control and regulation model to process the operating data of the real-time thermal equipment, and obtains the optimized intelligent thermal engineering regulation command.

[0007] Furthermore, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the data acquisition unit comprises: Install monitoring equipment on thermal equipment, including temperature sensors, pressure sensors, flow sensors, liquid level sensors, speed sensors, vibration sensors and noise sensors; Receive data collected by monitoring equipment and store the received data; Configure and set monitoring tasks according to actual needs. Monitoring tasks are based on the operating parameters and safety thresholds of the equipment. The monitoring system automatically executes monitoring tasks according to the set task scheduling strategy. Automatic execution of monitoring tasks includes regular data collection, real-time data analysis, and triggering of early warning mechanisms.

[0008] Furthermore, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the sensor installation position generating unit comprises: Receive monitoring task requirements and determine monitoring equipment based on the monitoring task requirements and the operating data of thermal equipment.

[0009] Establish a digital twin model based on thermal engineering equipment, substitute the selected monitoring equipment and monitoring tasks into the digital twin model, and simulate the installation location and monitoring process of the monitoring equipment in the digital twin model; Output the preset monitoring equipment installation location information obtained by simulation as a visual report or drawing; Compare the actual installation location information with the preset monitoring equipment installation location information. After the equipment is actually running, collect the data of the monitoring equipment and compare it with the predicted data in the digital twin model to verify the accuracy of data collection.

[0010] Furthermore, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the data processing unit comprises: Through properly installed monitoring equipment, the operation data of thermal engineering equipment can be collected in real time, including temperature data, pressure data, flow data, liquid level data, speed data, vibration data and noise data; The collected data are sorted and stored according to different monitoring parameters and time periods. A neural network model is selected and trained using the collected data to construct an intelligent thermal engineering equipment monitoring model to obtain an intelligent thermal engineering equipment monitoring model.

[0011] Furthermore, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the control adjustment command correction unit comprises: Acquire the monitoring data of intelligent thermal engineering equipment in real time, compare the real-time monitoring data with the standard value or threshold set in the thermal engineering equipment monitoring task, and judge whether the operating status of the equipment is stable; Based on the comparison results, it is determined whether the intelligent thermal engineering equipment is in a stable state. If all parameters fluctuate within the set range, the equipment is considered stable. If a parameter exceeds the set range, the equipment is considered unstable.

[0012] The comparison results of real-time monitoring data are classified and divided into two categories: stable intelligent thermal engineering monitoring and unstable intelligent thermal engineering.

[0013] Furthermore, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the model optimization unit comprises: Check the currently executed control and regulation command to check whether the currently executed control and regulation command meets the operation requirements of the thermal engineering equipment, evaluate the execution effect of the current control and regulation command, and obtain the evaluation result of the control and regulation command. The evaluation result of the control and regulation command includes the impact of the current control and regulation command on the system stability, the control effect of the current control and regulation command on the parameters, and the degree of improvement of the overall performance of the system by the current control and regulation command; According to the comparison results of the real-time monitoring data and the evaluation results of the control adjustment command, a correction plan is matched in a preset knowledge base to obtain a correction plan, which includes a correction target, a correction plan method, a correction plan step and an expected effect of the correction plan; The control adjustment command is corrected according to the correction plan to obtain the corrected intelligent thermal engineering adjustment command.

[0014] Furthermore, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the model optimization unit comprises: Send the corrected intelligent thermal engineering adjustment command to the intelligent thermal engineering equipment, and collect the operation data fed back by the intelligent thermal engineering equipment in real time; Compare the collected operation data fed back by the intelligent thermal engineering equipment with the preset standard parameters of the intelligent thermal engineering equipment to obtain the analysis data deviation, which includes the deviation size, deviation direction and deviation trend; Based on the analysis of data deviations, the performance of the preset intelligent thermal engineering control and regulation model is evaluated, and the model optimization issues to be determined include improper model parameter settings and unreasonable control strategies; The preset intelligent thermal engineering control and regulation model is optimized by genetic algorithm to obtain the optimized intelligent thermal engineering control and regulation model. The optimized intelligent thermal engineering control and regulation model is used to process the operation data of the real-time thermal equipment to obtain the optimized intelligent thermal engineering regulation command.

[0015] The beneficial effects of the present invention are mainly reflected in the following aspects: By real-time monitoring of the operating data of thermal equipment and comparing it with preset standards, it is possible to promptly detect abnormal conditions of the equipment, automatically correct control and adjustment commands, improve the stable operation of the equipment, and prevent safety accidents.

[0016] The present invention not only realizes real-time monitoring and early warning of data, but also conducts deeper data analysis and mining, such as equipment status prediction, so that the system can predict future trends based on historical data and current status, and provide more comprehensive decision support for operation and maintenance personnel. The digital twin model is used to simulate the installation location and monitoring process of the monitoring equipment, generate the preset monitoring equipment installation location information, and compare it with the actual installation location to improve the accuracy of data collection by ensuring that the monitoring equipment is correctly installed.

[0017] By optimizing the preset intelligent thermal engineering control and regulation model, the system can automatically adjust the control strategy according to the real-time feedback of the operating data, improving the control accuracy and response speed of the system. The automated data collection, processing and analysis process reduces the need for manual intervention and improves the operation and maintenance efficiency. At the same time, the real-time monitoring and early warning functions of the system also enable the operation and maintenance personnel to respond quickly to equipment abnormalities and reduce maintenance costs.

[0018] The intelligent thermal engineering equipment monitoring and control system provided by the present invention has high adaptability and scalability, can configure and set monitoring tasks according to actual needs, and can make corresponding adjustments and optimizations as the equipment is updated and upgraded. The application of the present invention will promote the development of power plant equipment operation and maintenance in the direction of intelligence and automation, improve the overall operating efficiency and safety of power plants, reduce operation and maintenance costs, and provide strong support for the sustainable development of power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 Schematic diagram of the intelligent thermal engineering equipment monitoring and control system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding 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 creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0022] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0023] The present invention provides an intelligent thermal engineering equipment monitoring and control system, comprising: A data acquisition unit is used to acquire the operating data of thermal equipment and the monitoring tasks of thermal engineering equipment. The operating data of thermal equipment includes temperature data, pressure data, flow data, liquid level data, speed data, vibration data and noise data. The monitoring tasks of thermal engineering equipment include real-time monitoring tasks, thermal engineering equipment monitoring and early warning tasks, data analysis tasks, data mining tasks and equipment status prediction tasks. Operation data of thermal equipment: Temperature data reflects the working temperature of thermal equipment. Pressure data reflects the working pressure of thermal equipment. Flow data reflects the working flow of thermal equipment. Liquid level data reflects the liquid level of thermal equipment. Speed ​​data reflects the rotation speed of thermal equipment. Vibration data reflects the vibration of thermal equipment. Noise data reflects the noise level of thermal equipment.

[0024] Thermal engineering equipment monitoring task: The real-time monitoring task monitors thermal equipment in real time. The thermal engineering equipment monitoring and early warning task issues an early warning when an abnormal situation is detected. The data analysis task conducts in-depth analysis of the collected data.

[0025] Data mining tasks mine valuable information from large amounts of data. Equipment status prediction tasks predict the future status of thermal equipment.

[0026] The monitoring system automatically executes monitoring tasks according to the set task scheduling strategy, including regular data collection, real-time data analysis, and triggering early warning mechanisms. Monitoring equipment (such as temperature sensors, pressure sensors, etc.) is installed on thermal equipment to receive and store the data collected by these monitoring equipment.

[0027] The monitoring tasks are configured and set according to actual needs. These monitoring tasks are set based on the operating parameters and safety thresholds of the equipment. The data acquisition unit can fully obtain the operating status and monitoring requirements of the thermal equipment, providing a basis for subsequent data processing and analysis.

[0028] The sensor installation position generation unit determines the monitoring equipment used for intelligent thermal engineering equipment monitoring according to the thermal engineering equipment monitoring tasks and the operating data of the thermal engineering equipment, substitutes the monitoring equipment and the thermal engineering equipment monitoring tasks into the preset digital twin model, obtains the preset monitoring equipment installation position information, collects the actual installation position information of the monitoring equipment, compares the actual installation position information of the equipment with the preset monitoring equipment installation position information, obtains the correct information of the monitoring equipment installation position, and collects the data collected by the monitoring equipment corresponding to the correct information of the monitoring equipment installation position; According to the monitoring tasks of thermal engineering equipment and the operating data of thermal equipment, the sensor installation location generation unit can determine the monitoring equipment required for intelligent thermal engineering equipment monitoring. The monitoring equipment includes temperature sensors, pressure sensors, flow sensors, etc., which are used to collect various operating data of thermal equipment.

[0029] Substitute the determined monitoring equipment and thermal engineering equipment monitoring tasks into the preset digital twin model. The digital twin model is a virtual model corresponding to the actual system, which can simulate the installation location and monitoring process of the monitoring equipment. By substituting into the model, the preset monitoring equipment installation location information can be generated to provide guidance for subsequent installation work.

[0030] After installing the monitoring equipment, collect the actual installation location information of the equipment and compare this information with the preset monitoring equipment installation location information. Through comparison, it can be verified whether the monitoring equipment is installed according to the preset location, thereby improving the correctness of the installation.

[0031] If the monitoring equipment is installed in the correct position, the data collected by the monitoring equipment corresponding to the position will be collected. The data collected by the monitoring equipment will be used for subsequent data processing and analysis to evaluate the operating status and monitoring effect of the thermal equipment.

[0032] In summary, the sensor installation position generation unit ensures the correct installation of the monitoring equipment and accurate data collection by determining the monitoring equipment, substituting it into the digital twin model, comparing the actual installation position with the preset position, and collecting monitoring data.

[0033] The data processing unit pre-processes the data collected by the monitoring device corresponding to the correct information of the monitoring device installation position to obtain the pre-processed data collected by the monitoring device, and substitutes the pre-processed data collected by the monitoring device into a preset intelligent thermal engineering equipment monitoring model to obtain real-time intelligent thermal engineering equipment monitoring results; The data processing unit first preprocesses the data collected by the monitoring equipment corresponding to the correct information of the monitoring equipment installation location. The preprocessing process includes steps such as data cleaning, denoising, and normalization, aiming to improve the accuracy and availability of the data.

[0034] The data collected by the preprocessed monitoring equipment is substituted into the preset intelligent thermal engineering equipment monitoring model. The intelligent thermal engineering equipment monitoring model is built based on machine learning or deep learning algorithms and is used to monitor and evaluate the operating status of thermal engineering equipment in real time.

[0035] By substituting the preprocessed data into the monitoring model, the data processing unit can generate real-time intelligent thermal engineering equipment monitoring results. Real-time intelligent thermal engineering equipment monitoring results include equipment operating status, anomaly detection, performance evaluation and other information, providing an important basis for subsequent control and adjustment.

[0036] The preset intelligent thermal engineering equipment monitoring model is the core component of the system intelligence. The preset intelligent thermal engineering equipment monitoring model can automatically analyze and predict the operating status of the equipment based on the input data, discover potential problems in time, and improve operation and maintenance efficiency and safety.

[0037] The entire data processing process emphasizes real-time, enabling the system to quickly respond to changes in the operating status of the equipment and provide timely decision-making support for operation and maintenance personnel.

[0038] The work of the data processing unit depends on accurate and comprehensive monitoring data. Therefore, during the data acquisition and preprocessing stages, the integrity and accuracy of the data must be improved to improve the reliability of the monitoring results.

[0039] In terms of technical implementation, the data processing unit adopts distributed computing, big data processing and other technical means to improve the speed and efficiency of data processing and meet the needs of real-time monitoring.

[0040] The data processing unit plays a vital role in the intelligent thermal engineering equipment monitoring and control system. It generates real-time monitoring results by preprocessing the monitoring data and substituting it into the preset monitoring model, providing strong support for the stable operation of the system.

[0041] The control and adjustment command correction unit compares the real-time intelligent thermal engineering equipment monitoring result with the thermal engineering equipment monitoring task to obtain the real-time monitoring data comparison result. The real-time monitoring data comparison result includes the intelligent thermal engineering monitoring stability and the intelligent thermal engineering instability. If the intelligent thermal engineering is unstable, the intelligent thermal engineering control and adjustment command corresponding to the real-time intelligent thermal engineering equipment monitoring result is corrected to obtain the corrected intelligent thermal engineering adjustment command; The main function of the control and adjustment command correction unit is to compare the real-time intelligent thermal engineering equipment monitoring results with the thermal engineering equipment monitoring tasks, so as to evaluate the operating status of the equipment. The comparison results include two states: stable intelligent thermal engineering monitoring and unstable intelligent thermal engineering.

[0042] If the comparison result of real-time monitoring data shows that the intelligent thermal engineering is unstable, the control adjustment command correction unit will correct the corresponding intelligent thermal engineering control adjustment command.

[0043] The corrected result is a corrected intelligent thermal engineering regulation command, which is intended to improve or correct the current unstable state of the thermal engineering equipment.

[0044] The purpose of the correction is to enhance the stable operation of thermal engineering equipment, prevent abnormal situations, and improve the reliability and safety of the equipment.

[0045] The control and adjustment command correction unit can detect and respond to abnormal conditions of equipment in a timely manner by comparing real-time monitoring data with preset monitoring tasks. This process is automated, reducing reliance on manual intervention and improving response speed and accuracy.

[0046] The control and regulation command correction unit is a part of the intelligent monitoring and control system of thermal engineering equipment. It works together with other units (such as data acquisition unit, sensor installation position generation unit, etc.) to realize the intelligent monitoring and control of thermal engineering equipment.

[0047] The control adjustment command correction unit can dynamically adjust the control adjustment command according to the real-time monitoring results, showing a high degree of flexibility and adaptability.

[0048] By continuously correcting and optimizing the control and adjustment commands, the ultimate goal is to achieve the optimal operating state of thermal engineering equipment and improve the efficiency and performance of the overall system. The control and adjustment command correction unit is a key link in the intelligent thermal engineering equipment monitoring and control system. Through real-time monitoring and comparative analysis, it can improve the operation of equipment in a stable state and respond to abnormal situations by correcting the control and adjustment commands.

[0049] The model optimization unit sends the corrected intelligent thermal engineering regulation command to the intelligent thermal engineering equipment, obtains the operating data fed back by the intelligent thermal engineering equipment, compares the operating data fed back by the intelligent thermal engineering equipment with the preset standard parameters of the intelligent thermal engineering equipment, and if the operating data fed back by the intelligent thermal engineering equipment exceeds the preset standard parameter range of the intelligent thermal engineering equipment, optimizes the preset intelligent thermal engineering control and regulation to obtain an optimized intelligent thermal engineering control and regulation model, uses the optimized intelligent thermal engineering control and regulation model to process the operating data of the real-time thermal equipment, and obtains the optimized intelligent thermal engineering regulation command.

[0050] The corrected intelligent thermal engineering adjustment command is sent to the intelligent thermal engineering equipment, and the operation data fed back by the equipment is obtained. The operation data fed back by the equipment is compared with the preset standard parameters of the intelligent thermal engineering equipment to evaluate the data deviation.

[0051] If the feedback data exceeds the preset standard parameter range, the preset intelligent thermal engineering control and regulation model is optimized. The optimized model is used to process the real-time thermal equipment operation data and generate optimized regulation commands.

[0052] Calculate the deviation between the device feedback data and the preset standard parameters, including the deviation size, direction and trend.

[0053] Based on the deviation analysis, the performance of the preset control adjustment model is evaluated and the model problems to be optimized are determined, such as improper parameter settings or unreasonable control strategies.

[0054] Genetic algorithms are used to optimize the preset intelligent thermal engineering control and regulation model to obtain a more accurate control and regulation model. The optimized model is applied to the real-time operation data processing of thermal equipment to improve the accuracy and efficiency of the regulation command.

[0055] By continuously optimizing the control and adjustment model, the stable operation of thermal engineering equipment can be improved. The intelligent thermal engineering equipment monitoring and control system can be adaptively adjusted according to the actual operation conditions, thus improving the intelligence level and control accuracy of the system.

[0056] The model optimization unit is a key link in the entire monitoring and control system. It improves the system's ability to accurately control the operating status of thermal engineering equipment and improve the overall performance and safety of the system through real-time analysis of equipment feedback data and continuous optimization of the model.

[0057] Specifically, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the data acquisition unit comprises: Install monitoring equipment on thermal equipment, including temperature sensors, pressure sensors, flow sensors, liquid level sensors, speed sensors, vibration sensors and noise sensors; Receive data collected by monitoring equipment and store the received data; Configure and set monitoring tasks according to actual needs. Monitoring tasks are based on the operating parameters and safety thresholds of the equipment. The monitoring system automatically executes monitoring tasks according to the set task scheduling strategy. Automatic execution of monitoring tasks includes regular data collection, real-time data analysis, and triggering of early warning mechanisms.

[0058] Specifically, the present invention provides a data acquisition unit in the intelligent thermal engineering equipment monitoring and control system, which is mainly responsible for comprehensively collecting and processing the operating data of thermal equipment to improve the accuracy and real-time performance of the monitoring system. The following is a detailed description of the unit's composition and functions: Install a variety of monitoring equipment on thermal equipment, including temperature sensors, pressure sensors, flow sensors, liquid level sensors, speed sensors, vibration sensors and noise sensors. Sensors can monitor key parameters of thermal equipment in real time, such as temperature, pressure, flow, liquid level, speed, vibration and noise, to improve the comprehensiveness and accuracy of data.

[0059] Receive the data collected by the above monitoring equipment and store the data for subsequent processing and analysis. Data storage adopts efficient and reliable methods to improve data integrity and traceability.

[0060] Configure and set monitoring tasks according to actual needs. These monitoring tasks are set based on the operating parameters and safety thresholds of the equipment to improve the safe and stable operation of the equipment.

[0061] Monitoring tasks include but are not limited to real-time monitoring tasks, thermal engineering equipment monitoring and early warning tasks, data analysis tasks, data mining tasks, and equipment status prediction tasks.

[0062] The monitoring system automatically executes various monitoring tasks according to the set task scheduling strategy. These tasks include regular data collection, real-time data analysis, and triggering early warning mechanisms. Real-time data analysis can quickly detect abnormal equipment status; triggering early warning mechanisms can promptly notify operators to handle abnormal equipment and prevent accidents.

[0063] Through the above functions of the data acquisition unit, the intelligent thermal engineering equipment monitoring and control system provided by the present invention can comprehensively and accurately collect the operating data of thermal equipment, providing a solid foundation for subsequent data processing, analysis and control and adjustment. At the same time, it can also automatically perform various monitoring tasks according to actual needs, thereby improving the intelligence and automation level of the monitoring system.

[0064] Specifically, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the sensor installation position generating unit comprises: Receive monitoring task requirements and determine monitoring equipment based on the monitoring task requirements and the operating data of thermal equipment.

[0065] Establish a digital twin model based on thermal engineering equipment, substitute the selected monitoring equipment and monitoring tasks into the digital twin model, and simulate the installation location and monitoring process of the monitoring equipment in the digital twin model; Output the preset monitoring equipment installation location information obtained by simulation as a visual report or drawing; Compare the actual installation location information with the preset monitoring equipment installation location information. After the equipment is actually running, collect the data of the monitoring equipment and compare it with the predicted data in the digital twin model to verify the accuracy of data collection.

[0066] Specifically, the sensor installation position generation unit in the intelligent thermal engineering equipment monitoring and control system provided by the present invention is mainly responsible for determining the installation position of the monitoring equipment to improve the accuracy and effectiveness of data collection. The following is a detailed description of the structure and functions of the unit: The sensor installation location generation unit first receives the monitoring task requirements from the monitoring system. These requirements are determined based on the actual operation of the thermal equipment and the monitoring objectives, such as the monitoring requirements for specific parameters (such as temperature and pressure).

[0067] According to the requirements of the monitoring task and the operating data of the thermal equipment, the unit determines the type of monitoring equipment required, such as temperature sensors, pressure sensors, etc. The selection of these devices should be able to fully cover the various parameters required for the monitoring task.

[0068] Establish a digital twin model based on thermal engineering equipment. The digital twin model is a virtual model corresponding to the actual system, which can simulate the operating status and monitoring process of thermal equipment.

[0069] The selected monitoring equipment and monitoring tasks are substituted into the digital twin model, and the optimal installation location of the monitoring equipment is determined through simulation analysis. This process takes into account factors such as the layout of the equipment, the sensitivity of the monitoring parameters, and the convenience of data collection.

[0070] The preset monitoring equipment installation location information obtained by simulation is output as a visual report or drawing. These reports and drawings provide clear guidance for on-site installers, so that the monitoring equipment can be accurately installed according to the preset location.

[0071] After the monitoring equipment is actually installed, the unit collects the actual installation location information of the equipment and compares it with the preset monitoring equipment installation location information. This process is to verify whether the monitoring equipment is correctly installed according to the preset location. After the equipment is actually running, the unit collects the data of the monitoring equipment and compares it with the predicted data in the digital twin model. Through comparative analysis, the accuracy of data collection is verified, and the monitoring data can truly reflect the operating status of the thermal equipment.

[0072] Through the above functions of the sensor installation position generation unit, the intelligent thermal engineering equipment monitoring and control system provided by the present invention can improve the correct installation of the monitoring equipment and the accuracy of data collection. The application of this unit improves the intelligence and reliability of the monitoring system and provides a strong guarantee for the stable operation of thermal equipment.

[0073] Specifically, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the data processing unit comprises: Through properly installed monitoring equipment, the operation data of thermal engineering equipment can be collected in real time, including temperature data, pressure data, flow data, liquid level data, speed data, vibration data and noise data; The collected data are sorted and stored according to different monitoring parameters and time periods. A neural network model is selected and trained using the collected data to construct an intelligent thermal engineering equipment monitoring model to obtain an intelligent thermal engineering equipment monitoring model.

[0074] Specifically, the present invention provides a data processing unit in the intelligent thermal engineering equipment monitoring and control system, which is mainly responsible for real-time collection of operating data of thermal engineering equipment, and preprocessing and model building of these data to improve the accuracy of subsequent analysis and control. The following is a detailed description of the structure and functions of the unit: The data processing unit collects the operating data of thermal engineering equipment in real time through properly installed monitoring equipment. These data include temperature data, pressure data, flow data, liquid level data, speed data, vibration data, and noise data, which fully reflect the operating status of the equipment.

[0075] The collected data is sorted and stored according to different monitoring parameters and time periods. This process improves the orderliness and traceability of the data and facilitates subsequent data analysis.

[0076] The data processing unit selects the neural network model as a tool for data processing and analysis. The neural network model has strong nonlinear fitting and self-learning capabilities, and is suitable for processing complex and changeable thermal engineering equipment data.

[0077] The collected data is used to train the neural network model and build an intelligent thermal engineering equipment monitoring model. This process continuously adjusts the parameters and structure of the model so that the model can accurately reflect the operating status and characteristics of the thermal engineering equipment.

[0078] After training, an intelligent thermal engineering equipment monitoring model is obtained. The model can receive and process the data collected by the monitoring equipment in real time, and output the real-time operating status and prediction information of the equipment.

[0079] After the model is built, the data processing unit outputs it to the subsequent control adjustment command correction unit and model optimization unit to provide data support for the intelligent control of the equipment.

[0080] Through the above functions of the data processing unit, the intelligent thermal engineering equipment monitoring and control system provided by the present invention can realize the real-time collection, sorting, storage and analysis of the operation data of thermal engineering equipment. The monitoring model constructed using the neural network model can accurately reflect the operation status and characteristics of the equipment, providing a reliable data basis for subsequent intelligent control.

[0081] Specifically, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the control adjustment command correction unit comprises: Acquire the monitoring data of intelligent thermal engineering equipment in real time, compare the real-time monitoring data with the standard value or threshold set in the thermal engineering equipment monitoring task, and judge whether the operating status of the equipment is stable; Based on the comparison results, it is determined whether the intelligent thermal engineering equipment is in a stable state. If all parameters fluctuate within the set range, the equipment is considered stable. If a parameter exceeds the set range, the equipment is considered unstable.

[0082] The comparison results of real-time monitoring data are classified and divided into two categories: stable intelligent thermal engineering monitoring and unstable intelligent thermal engineering.

[0083] Specifically, the present invention provides a control adjustment command correction unit in the intelligent thermal engineering equipment monitoring and control system, which is mainly responsible for judging the operating status of the equipment according to the real-time monitoring data, and correcting the control adjustment command when necessary to improve the stable operation of the equipment. The following is a detailed composition and functional description of the unit: The control and regulation command correction unit obtains the monitoring data of intelligent thermal engineering equipment in real time. These data include key parameters such as temperature, pressure, flow, liquid level, speed, vibration and noise.

[0084] Compare the real-time monitoring data with the standard values ​​or thresholds set in the thermal engineering equipment monitoring task. These standard values ​​or thresholds are set based on the normal operating range and safety requirements of the equipment.

[0085] Based on the comparison results, it is determined whether the operating status of the intelligent thermal engineering equipment is stable. If all parameters fluctuate within the set range, the equipment is considered to be in a stable state; if one or some parameters exceed the set range, the equipment is considered to be in an unstable state.

[0086] The comparison results of real-time monitoring data are classified and processed, and the results are clearly divided into two categories: stable intelligent thermal engineering monitoring and unstable intelligent thermal engineering.

[0087] For monitoring stable situations, the control adjustment command correction unit may maintain the current control strategy unchanged, or make minor adjustments to optimize equipment operating efficiency.

[0088] In case of unstable monitoring, the unit will enter the next correction process.

[0089] For unstable equipment states, the control adjustment command correction unit will correct the corresponding control adjustment command. This correction process may involve adjusting control parameters, changing control strategies, or taking other necessary measures to restore the equipment to a stable operating state. The corrected control adjustment command will be sent to the thermal engineering equipment to guide the subsequent operation of the equipment. Through the above-mentioned functions of the control adjustment command correction unit, the intelligent thermal engineering equipment monitoring and control system provided by the present invention can monitor the operating status of the equipment in real time, and make timely corrections to the control adjustment command when necessary, thereby improving the stable operation and safe production of the equipment, improving the intelligence level and response speed of the system, and providing strong support for the effective management of thermal engineering equipment.

[0090] Specifically, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the model optimization unit comprises: Check the currently executed control and regulation command to check whether the currently executed control and regulation command meets the operation requirements of the thermal engineering equipment, evaluate the execution effect of the current control and regulation command, and obtain the evaluation result of the control and regulation command. The evaluation result of the control and regulation command includes the impact of the current control and regulation command on the system stability, the control effect of the current control and regulation command on the parameters, and the degree of improvement of the overall performance of the system by the current control and regulation command; According to the comparison results of the real-time monitoring data and the evaluation results of the control adjustment command, a correction plan is matched in a preset knowledge base to obtain a correction plan, which includes a correction target, a correction plan method, a correction plan step and an expected effect of the correction plan; The control adjustment command is corrected according to the correction plan to obtain the corrected intelligent thermal engineering adjustment command.

[0091] Specifically, the present invention provides a model optimization unit in the intelligent thermal engineering equipment monitoring and control system, which is mainly responsible for optimizing the existing control and regulation model according to the real-time monitoring data and the execution effect of the control and regulation command to improve the stability and performance of the system. The following is a detailed description of the structure and function of the unit: The model optimization unit first checks the currently executed control adjustment commands to confirm whether these commands meet the actual operation requirements of the thermal engineering equipment.

[0092] Evaluate the effectiveness of the current control and adjustment commands, including the impact of the commands on system stability, the control effect on key parameters, and the degree of improvement in the overall system performance. This evaluation process aims to fully understand the effectiveness and limitations of the current control strategy.

[0093] Based on the comparison results of real-time monitoring data and the evaluation results of control adjustment commands, the model optimization unit searches for matching correction solutions in the preset knowledge base. The knowledge base is a database containing a variety of possible problems and corresponding solutions, which is built based on past experience and expertise. By searching the knowledge base, the model optimization unit can quickly find a suitable solution to the current problem. The correction solution found includes detailed information such as correction target, correction method, correction steps, and expected effect, providing clear guidance for subsequent command corrections.

[0094] According to the specific steps and methods in the correction scheme, the model optimization unit corrects the existing control adjustment commands.

[0095] The correction process may involve adjusting control parameters, improving control algorithms or replacing control strategies, etc., aiming to optimize the control effect and improve the stability and performance of the system. The corrected intelligent thermal engineering adjustment command will be sent to the thermal engineering equipment to guide the subsequent operation of the equipment.

[0096] The model optimization unit is also responsible for continuously optimizing the control and regulation model. By continuously collecting and analyzing real-time monitoring data and the execution effect of control and regulation commands, the model optimization unit can promptly discover and solve potential problems and continuously improve the intelligence level and operating efficiency of the system. At the same time, the model optimization unit also receives feedback data from thermal engineering equipment, which helps to further verify and optimize the effectiveness of the control and regulation model.

[0097] Through the above functions of the model optimization unit, the intelligent thermal engineering equipment monitoring and control system provided by the present invention can realize continuous optimization and dynamic adjustment of the control and regulation model to adapt to the ever-changing operating environment and equipment status. The application of this unit improves the adaptability and flexibility of the system and provides a strong guarantee for the stable operation and efficient management of thermal engineering equipment.

[0098] Specifically, the present invention provides the intelligent thermal engineering equipment monitoring and control system, wherein the model optimization unit comprises: Send the corrected intelligent thermal engineering adjustment command to the intelligent thermal engineering equipment, and collect the operation data fed back by the intelligent thermal engineering equipment in real time; Compare the collected operation data fed back by the intelligent thermal engineering equipment with the preset standard parameters of the intelligent thermal engineering equipment to obtain the analysis data deviation, which includes the deviation size, deviation direction and deviation trend; Based on the analysis of data deviations, the performance of the preset intelligent thermal engineering control and regulation model is evaluated, and the model optimization issues to be determined include improper model parameter settings and unreasonable control strategies; The preset intelligent thermal engineering control and regulation model is optimized by genetic algorithm to obtain the optimized intelligent thermal engineering control and regulation model. The optimized intelligent thermal engineering control and regulation model is used to process the operation data of the real-time thermal equipment to obtain the optimized intelligent thermal engineering regulation command.

[0099] Specifically, the model optimization unit in the intelligent thermal engineering equipment monitoring and control system provided by the present invention is a part that improves the stable operation and efficient regulation of the system. It is mainly responsible for optimizing the existing control and regulation model according to the operation data fed back by the equipment to improve the intelligence level and regulation accuracy of the system. The following is a detailed composition and functional description of the model optimization unit: The model optimization unit first sends the corrected intelligent thermal engineering adjustment command to the thermal engineering equipment to guide the subsequent operation of the equipment. The unit collects the operation data fed back by the thermal engineering equipment in real time, including key parameters such as temperature, pressure, flow, liquid level, speed, vibration and noise.

[0100] Compare the collected equipment feedback operation data with the preset intelligent thermal engineering equipment standard parameters to analyze the data deviation. Not only the size of the deviation is considered, but also the direction and trend of the deviation is paid attention to, so as to fully understand the difference between the equipment operation status and the standard status.

[0101] Based on the data deviation obtained through analysis, the model optimization unit evaluates the performance of the preset intelligent thermal engineering control and regulation model and determines the problems to be optimized in the model, which may include improper model parameter settings, unreasonable control strategies, etc.

[0102] For the determined problem to be optimized, the model optimization unit uses genetic algorithm to optimize the preset intelligent thermal engineering control and regulation model. Genetic algorithm is a search algorithm that simulates natural selection and genetic mechanism, which can efficiently search for the optimal solution or approximate optimal solution in the solution space. Through the iterative optimization of genetic algorithm, the optimized intelligent thermal engineering control and regulation model is obtained.

[0103] The optimized intelligent thermal engineering control and regulation model is used to process the real-time thermal equipment operation data to obtain more accurate and effective control and regulation commands. The optimized regulation commands will better guide the operation of thermal engineering equipment and improve its stability and efficiency.

[0104] The model optimization unit is also responsible for continuously monitoring the operating status and control and regulation effects of thermal engineering equipment. When the operating status of the equipment changes or the control and regulation effects are not ideal, the unit will automatically start the optimization process to further optimize and adjust the control and regulation model.

[0105] Through the above functions of the model optimization unit, the intelligent thermal engineering equipment monitoring and control system provided by the present invention can realize the continuous optimization and dynamic adjustment of the control and regulation model to adapt to the ever-changing operating environment and equipment status. The application of this unit significantly improves the intelligence level and control accuracy of the system, and provides a strong guarantee for the stable operation and efficient management of thermal engineering equipment.

[0106] The technical solution of the present invention solves the problem that the existing technology cannot stably regulate the intelligent thermal engineering equipment monitoring and control system because there are too many detection equipment and operating equipment involved in the intelligent thermal engineering equipment monitoring and control system. The specific solution includes the following aspects: Obtain the operating data of thermal equipment, including temperature, pressure, flow, liquid level, speed, vibration and noise data, as well as real-time monitoring tasks, early warning tasks, data analysis, data mining and equipment status prediction tasks. Install various sensors on thermal equipment to improve the comprehensiveness and accuracy of data.

[0107] The digital twin model is used to simulate the installation location and monitoring process of the monitoring equipment, and generate the preset installation location information of the monitoring equipment. The actual installation location is compared with the preset location to improve the correct installation of the monitoring equipment, thereby improving the accuracy of data collection.

[0108] Pre-process the data collected by the monitoring equipment to improve the quality and effectiveness of the data. Use the neural network model to build an intelligent thermal engineering equipment monitoring model to improve the accuracy and real-time performance of the monitoring results.

[0109] Compare the real-time monitoring data with the preset standards to determine whether the equipment is running stably. For unstable equipment, automatically correct the control adjustment command to improve the stable operation of the equipment.

[0110] Evaluate the execution effect of the current control and regulation commands to determine whether optimization is needed. Use genetic algorithms to optimize the preset intelligent thermal engineering control and regulation model to improve the stability and regulation accuracy of the system.

[0111] Through the coordinated work of various modules and functions, the present invention effectively solves the control problem caused by too many devices in the intelligent thermal engineering equipment monitoring and control system, and improves the stability and operation efficiency of the system.

[0112] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations, and the above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. An intelligent thermal engineering equipment monitoring and control system, characterized in that: include: A data acquisition unit is used to acquire the operating data of thermal equipment and the monitoring tasks of thermal engineering equipment. The operating data of thermal equipment includes temperature data, pressure data, flow data, liquid level data, speed data, vibration data and noise data. The monitoring tasks of thermal engineering equipment include real-time monitoring tasks, thermal engineering equipment monitoring and early warning tasks, data analysis tasks, data mining tasks and equipment status prediction tasks. The sensor installation position generation unit determines the monitoring equipment used for intelligent thermal engineering equipment monitoring according to the thermal engineering equipment monitoring tasks and the operating data of the thermal engineering equipment, substitutes the monitoring equipment and the thermal engineering equipment monitoring tasks into the preset digital twin model, obtains the preset monitoring equipment installation position information, collects the actual installation position information of the monitoring equipment, compares the actual installation position information of the equipment with the preset monitoring equipment installation position information, obtains the correct information of the monitoring equipment installation position, and collects the data collected by the monitoring equipment corresponding to the correct information of the monitoring equipment installation position; The data processing unit pre-processes the data collected by the monitoring device corresponding to the correct information of the installation position of the monitoring device to obtain the pre-processed data collected by the monitoring device, and substitutes the pre-processed data collected by the monitoring device into the preset intelligent thermal engineering equipment monitoring model to obtain the real-time intelligent thermal engineering equipment monitoring results; The control and adjustment command correction unit compares the real-time intelligent thermal engineering equipment monitoring result with the thermal engineering equipment monitoring task to obtain the real-time monitoring data comparison result. The real-time monitoring data comparison result includes the intelligent thermal engineering monitoring stability and the intelligent thermal engineering instability. If the intelligent thermal engineering is unstable, the intelligent thermal engineering control and adjustment command corresponding to the real-time intelligent thermal engineering equipment monitoring result is corrected to obtain the corrected intelligent thermal engineering adjustment command; The model optimization unit sends the corrected intelligent thermal engineering regulation command to the intelligent thermal engineering equipment, obtains the operating data fed back by the intelligent thermal engineering equipment, compares the operating data fed back by the intelligent thermal engineering equipment with the preset standard parameters of the intelligent thermal engineering equipment, and if the operating data fed back by the intelligent thermal engineering equipment exceeds the preset standard parameter range of the intelligent thermal engineering equipment, optimizes the preset intelligent thermal engineering control and regulation to obtain an optimized intelligent thermal engineering control and regulation model, uses the optimized intelligent thermal engineering control and regulation model to process the operating data of the real-time thermal equipment, and obtains the optimized intelligent thermal engineering regulation command.

2. The intelligent thermal engineering equipment monitoring and control system according to claim 1, characterized in that: The data acquisition unit comprises: Install monitoring equipment on thermal equipment, including temperature sensors, pressure sensors, flow sensors, liquid level sensors, speed sensors, vibration sensors and noise sensors; Receive data collected by monitoring equipment and store the received data; Configure and set monitoring tasks according to actual needs. Monitoring tasks are based on the operating parameters and safety thresholds of the equipment. The monitoring system automatically executes monitoring tasks according to the set task scheduling strategy. Automatic execution of monitoring tasks includes regular data collection, real-time data analysis, and triggering of early warning mechanisms.

3. The intelligent thermal engineering equipment monitoring and control system according to claim 1, characterized in that: The sensor installation position generating unit comprises: Receive monitoring task requirements and determine monitoring equipment based on the monitoring task requirements and the operating data of thermal equipment; Establish a digital twin model based on thermal engineering equipment, substitute the selected monitoring equipment and monitoring tasks into the digital twin model, and simulate the installation location and monitoring process of the monitoring equipment in the digital twin model; Output the preset monitoring equipment installation location information obtained by simulation as a visual report or drawing; Compare the actual installation location information with the preset monitoring equipment installation location information. After the equipment is actually running, collect the data of the monitoring equipment and compare it with the predicted data in the digital twin model to verify the accuracy of data collection.

4. The intelligent thermal engineering equipment monitoring and control system according to claim 1, characterized in that: The data processing unit comprises: Through properly installed monitoring equipment, the operation data of thermal engineering equipment can be collected in real time, including temperature data, pressure data, flow data, liquid level data, speed data, vibration data and noise data; The collected data are sorted and stored according to different monitoring parameters and time periods. A neural network model is selected and trained using the collected data to construct an intelligent thermal engineering equipment monitoring model to obtain an intelligent thermal engineering equipment monitoring model.

5. The intelligent thermal engineering equipment monitoring and control system according to claim 1, characterized in that: The control adjustment command correction unit includes: Acquire the monitoring data of intelligent thermal engineering equipment in real time, compare the real-time monitoring data with the standard value or threshold set in the thermal engineering equipment monitoring task, and judge whether the operating status of the equipment is stable; According to the comparison results, it is judged whether the intelligent thermal engineering equipment is in a stable state. If all parameters fluctuate within the set range, the equipment is considered stable. If a parameter exceeds the set range, the equipment is considered unstable. The comparison results of real-time monitoring data are classified and divided into two categories: stable intelligent thermal engineering monitoring and unstable intelligent thermal engineering.

6. The intelligent thermal engineering equipment monitoring and control system according to claim 5, characterized in that: The model optimization unit comprises: Check the currently executed control and regulation command to check whether the currently executed control and regulation command meets the operation requirements of the thermal engineering equipment, evaluate the execution effect of the current control and regulation command, and obtain the evaluation result of the control and regulation command. The evaluation result of the control and regulation command includes the impact of the current control and regulation command on the system stability, the control effect of the current control and regulation command on the parameters, and the degree of improvement of the overall performance of the system by the current control and regulation command; According to the comparison results of the real-time monitoring data and the evaluation results of the control adjustment command, a correction plan is matched in a preset knowledge base to obtain a correction plan, which includes a correction target, a correction plan method, a correction plan step and an expected effect of the correction plan; The control adjustment command is corrected according to the correction plan to obtain the corrected intelligent thermal engineering adjustment command.

7. The intelligent thermal engineering equipment monitoring and control system according to claim 1, characterized in that: The model optimization unit comprises: Send the corrected intelligent thermal engineering adjustment command to the intelligent thermal engineering equipment, and collect the operation data fed back by the intelligent thermal engineering equipment in real time; Compare the collected operation data fed back by the intelligent thermal engineering equipment with the preset standard parameters of the intelligent thermal engineering equipment to obtain the analysis data deviation, which includes the deviation size, deviation direction and deviation trend; According to the analysis of data deviation, the performance of the preset intelligent thermal engineering control and regulation model is evaluated, and the model optimization issues to be determined include improper model parameter settings and unreasonable control strategies; The preset intelligent thermal engineering control and regulation model is optimized by genetic algorithm to obtain the optimized intelligent thermal engineering control and regulation model. The optimized intelligent thermal engineering control and regulation model is used to process the operation data of the real-time thermal equipment to obtain the optimized intelligent thermal engineering regulation command.

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