Safety monitoring system and method for thermal power plant
By designing the safety monitoring system of monitoring sensor layers, intelligent analysis layers, and research decision -making layers in the thermal power plant, the problem of insufficient scope of the existing system monitoring and isolation of security information has been solved, and the comprehensive and accurate safety of the thermal power plant is realized. monitor.
Patent Information
- Application Number
- CN202210989202.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-08-17
- Publication Date
- 2025-01-24
- Estimated Expiration
- 2042-08-17
AI Technical Summary
The monitoring scope of the existing thermal power plants is not comprehensive enough, and the monitoring safety information is relatively isolated, making it difficult to accurately monitor the safety of thermal power plants.
This paper proposes a thermal power plant safety monitoring system that includes a monitoring perception layer, an intelligent analysis layer and a judgment and decision-making layer. The monitoring and perception layer obtains all safety-related data of the thermal power plant through the network, the intelligent analysis layer stores and screens safety data, and the judgment and decision-making layer generates monitoring instructions and regulates the thermal power plant based on the screening results.
A comprehensive monitoring of the thermal power plant has been realized, the accuracy of the safety monitoring of the thermal power plant can be improved, and the monitoring instructions can be generated according to the results of the safety screening, and the thermal power plants are controlled in real time to ensure safety.
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Figure CN115334119B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of thermal power plant monitoring, and in particular to a safety monitoring system and method for a thermal power plant. Background Art
[0002] At present, thermal power plants are an important public infrastructure. Intelligent monitoring of thermal power plants plays an important role in the safe production of thermal power plants. However, the equipment units of thermal power plants have sophisticated and complex structures and are difficult to control. The monitoring of thermal power plants is relatively complex. In related technologies, thermal power plants still use conventional safety monitoring systems, but the monitoring scope of conventional safety monitoring systems is not comprehensive enough, and the monitored safety information is relatively isolated, making it difficult to accurately monitor the safety of thermal power plants. Therefore, a safer safety monitoring system for thermal power plants is urgently needed. Summary of the invention
[0003] The present application proposes a safety monitoring system and method for a thermal power plant.
[0004] In one aspect, an embodiment of the present application proposes a safety monitoring system for a thermal power plant, wherein the safety monitoring system for the thermal power plant includes a monitoring perception layer, an intelligent analysis layer, and a research and judgment decision layer, wherein: the monitoring perception layer communicates with the intelligent analysis layer through a network, and is used to obtain all safety-related data of the thermal power plant, and send the safety-related data to the intelligent analysis layer; the intelligent analysis layer is used to receive and store the safety-related data, and perform safety screening on the safety-related data based on the safety threshold corresponding to the safety-related data; the research and judgment decision layer communicates with the intelligent analysis layer through a network, and is used to perform safety screening on the received safety-related data according to the safety screening result, generate monitoring instructions corresponding to the safety screening result, and regulate the thermal power plant based on the monitoring instructions.
[0005] In one embodiment of the present application, the safety-related data includes environmental safety data, scenario safety data and operational safety data of a thermal power plant, and the monitoring perception layer includes an environmental status monitoring module, a scenario monitoring module and an equipment operation data monitoring module, including: the environmental status monitoring module, used to obtain the environmental safety data of the thermal power plant; the scenario monitoring module, used to obtain the scenario safety data of the thermal power plant; the equipment operation data monitoring module, used to obtain the operational safety data of the equipment of the thermal power plant.
[0006] In one embodiment of the present application, the intelligent analysis layer includes a data platform and an analysis module, wherein: the data platform communicates with the monitoring perception layer through a network, is used to receive and store the security-related data, and transmit the security-related data to the analysis module; the analysis module communicates with the data platform module through a network, is used to screen the security-related data based on the security threshold corresponding to the security-related data.
[0007] In one embodiment of the present application, the intelligent analysis layer also includes a machine learning module, wherein: the machine learning module communicates with the analysis module through a network, and is used to perform security threshold training on the historical security-related data to obtain the security threshold corresponding to the security-related data.
[0008] In one embodiment of the present application, the analysis and decision-making layer includes a manual analysis module, an inspection module and an execution module, wherein: the manual analysis module communicates with the analysis module through a network, is used to receive the safety screening results of the analysis module, and manually verify the correctness of the safety screening results; the inspection module communicates with the analysis module through a network, is used to inspect the equipment of the thermal power plant corresponding to the safety screening results; the execution module communicates with the analysis module through a network, is used to generate monitoring instructions corresponding to the safety screening results, and regulate the thermal power plant based on the monitoring instructions.
[0009] The present application proposes a safety monitoring system for a thermal power plant, which includes a monitoring perception layer, an intelligent analysis layer and a research and judgment decision layer, wherein the monitoring perception layer communicates with the intelligent analysis layer through a network, and is used to obtain all safety-related data of the thermal power plant, and send the safety-related data to the intelligent analysis layer, the intelligent analysis layer is used to receive and store the safety-related data, and perform safety screening on the safety-related data based on the safety threshold corresponding to the safety-related data, the research and judgment decision layer communicates with the intelligent analysis layer through a network, and is used to perform safety screening results based on the received safety-related data, and generate monitoring instructions corresponding to the safety screening results, so as to control the thermal power plant. Thus, based on the safety screening of all safety-related data of the thermal power plant, the thermal power plant is controlled according to the monitoring instructions corresponding to the safety screening results, so as to realize all-round monitoring of the thermal power plant and improve the accuracy of safety monitoring of the thermal power plant.
[0010] On the other hand, an embodiment of the present application proposes a safety monitoring method for a thermal power plant, the method comprising: acquiring all safety-related data of the thermal power plant; performing safety screening on the safety-related data to obtain safety screening results of the safety-related data; generating monitoring instructions corresponding to the safety screening results according to the safety screening results, and regulating the thermal power plant based on the monitoring instructions.
[0011] In one embodiment of the present application, the obtaining of all safety-related data of the thermal power plant includes: obtaining the environmental safety data of the thermal power plant, the scene safety data of the thermal power plant and the operational safety data of the equipment of the thermal power plant; and using the environmental safety data, the scene safety data and the operational safety data as the safety-related data.
[0012] In one embodiment of the present application, the security screening of the security-related data to obtain the security screening result of the security-related data includes: obtaining a security threshold corresponding to the security-related data; based on the security threshold, screening the security-related data, and taking security-related data greater than the security threshold as the security screening result.
[0013] In one embodiment of the present application, obtaining the safety threshold corresponding to the safety-related data includes: obtaining historical safety-related data of the thermal power plant; training the historical safety-related data through a machine learning algorithm to obtain the safety threshold corresponding to the safe operation of the thermal power plant.
[0014] In one embodiment of the present application, generating monitoring instructions corresponding to the safety screening results according to the safety screening results, and regulating the thermal power plant based on the monitoring instructions, includes: obtaining initial safety screening results, and verifying the correctness of the initial safety screening results to obtain correct safety screening results; obtaining inspection results of the equipment of the thermal power plant; when the inspection results match the safety screening results, generating monitoring instructions corresponding to the safety screening results, and regulating the thermal power plant based on the monitoring instructions.
[0015] The present application proposes a safety monitoring method for a thermal power plant, which obtains all safety-related data of the thermal power plant and performs safety screening on the safety-related data to obtain safety screening results of the safety-related data. According to the safety screening results, monitoring instructions corresponding to the safety screening results are generated, and the thermal power plant is regulated based on the monitoring instructions. Thus, based on performing safety screening on all safety-related data of the thermal power plant and regulating the thermal power plant according to the monitoring instructions corresponding to the safety screening results, all-round monitoring of the thermal power plant is achieved, thereby improving the accuracy of safety monitoring of the thermal power plant.
[0016] Other effects of the above optional manner will be described below in conjunction with specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 It is a structural schematic diagram of a safety monitoring system for a thermal power plant according to an embodiment of the present application;
[0018] Figure 2It is a flow chart of a safety monitoring method for a thermal power plant according to an embodiment of the present application;
[0019] Figure 3 It is a flow chart for processing safety risks of a thermal power plant according to an embodiment of the present application. DETAILED DESCRIPTION
[0020] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.
[0021] The following describes the safety monitoring system of a thermal power plant in an embodiment of the present application with reference to the accompanying drawings.
[0022] Figure 1 It is a structural diagram of a safety monitoring system for a thermal power plant according to an embodiment of the present application.
[0023] like Figure 1 As shown, the safety monitoring system of the thermal power plant includes a monitoring perception layer 101, an intelligent analysis layer 102 and a research and decision-making layer 103, wherein:
[0024] In some embodiments, Figure 1 As shown, the monitoring perception layer 101 communicates with the intelligent analysis layer 102 through the network to obtain all safety-related data of the thermal power plant and send the safety-related data to the intelligent analysis layer 102.
[0025] Among them, the monitoring perception layer 101 can communicate with the intelligent analysis layer 102 through a wired network or a wireless network. For example, the monitoring perception layer 101 can communicate with the intelligent analysis layer 102 through a 4G network, a 5G network, Wireless Fidelity (Wireless Fidelity, Wi-Fi), Bluetooth, and a communication line, but is not limited to this.
[0026] In some embodiments, the intelligent analysis layer 102 is used to receive and store security-related data, and perform security screening on the security-related data based on security thresholds corresponding to the security-related data.
[0027] In some embodiments, the intelligent analysis layer 102 may receive and store relevant security data through a memory and a network data receiving device, but is not limited thereto.
[0028] In other embodiments, historical security-related data can be trained through machine learning to obtain the changing trend of the security threshold corresponding to the historical security-related data, so as to determine the final security threshold from the changing trend, and then screen the security-related data according to the security threshold to obtain abnormal security-related data that does not meet the security threshold, thereby realizing intelligent identification of security-related data and improving the data analysis efficiency of security-related data.
[0029] In some embodiments, the analysis and decision-making layer 103 communicates with the intelligent analysis layer 102 through the network to obtain safety screening results based on the received safety-related data, generate monitoring instructions corresponding to the safety screening results, and regulate the thermal power plant based on the monitoring instructions.
[0030] In some embodiments, when there is no abnormal safety-related data in the safety screening results, the generated monitoring instructions may include but are not limited to normal status without adjustment. Under this safety screening result, all equipment in the thermal power plant operates normally and safely.
[0031] In other embodiments, when there are one or more abnormal safety-related data in the safety screening results, the thermal power plant equipment corresponding to the abnormal safety-related data is found, and the abnormal state is judged based on the abnormal related safety data to generate a monitoring instruction to adjust the abnormal state to a normal state, thereby adjusting the equipment of the thermal power plant to a normal and safe state, thereby realizing intelligent dynamic regulation of the thermal power plant.
[0032] In some embodiments, Figure 1 As shown, the safety-related data includes environmental safety data, scene safety data and operation safety data of the thermal power plant, and the monitoring perception layer 101 includes an environmental status monitoring module 1011, a scene monitoring module 1012 and an equipment operation data monitoring module 1013, including:
[0033] In some embodiments, the environmental status monitoring module 1011 is used to obtain environmental safety data of the thermal power plant.
[0034] The environmental safety data may include, but is not limited to, environmental temperature and environmental sound, which are not specifically limited in this embodiment.
[0035] The environmental safety data may be monitoring values acquired by sensors in the environmental status monitoring module 1011, but is not limited thereto.
[0036] Specifically, taking a fire gas leak in a thermal power plant as an example, environmental safety data may include smoke, ambient temperature, and toxic gas concentration, but is not limited thereto. Smoke, ambient temperature, and toxic gas concentration may also be transmitted to the intelligent analysis layer 102 for storage to facilitate later retrieval by management personnel.
[0037] In some embodiments, the scene monitoring module 1012 is used to obtain scene safety data of the thermal power plant.
[0038] Among them, the scene safety data may include but is not limited to the locations of personnel in the monitoring video of the thermal power plant and the thermal power plant scene, which is not specifically limited in this embodiment.
[0039] The scene safety data may be video data collected by a camera in the scene monitoring module 1012, but is not limited thereto.
[0040] Specifically, a camera system is installed in the thermal power plant, high-definition cameras are installed in key safety areas, and video images are transmitted to the intelligent analysis layer 102 through the plant Wi-Fi system and saved for viewing and analysis by plant personnel. In addition, plant staff can obtain real-time locations by carrying portable positioning devices and upload them to the intelligent analysis layer 102 to achieve accurate positioning of scene safety data in key safety areas and improve the processing efficiency of scene safety data.
[0041] In some embodiments, the equipment operation data monitoring module 1013 is used to obtain the operation safety data of the equipment of the thermal power plant.
[0042] The operational safety data of the equipment of the thermal power plant may include, but is not limited to, the operational pressure and operational flow rate of the equipment of the thermal power plant, which are not specifically limited in this embodiment.
[0043] Among them, the operation safety data can be the value collected by the sensor in the equipment operation data monitoring module 1013. For example, the flow of the thermal power plant equipment can be collected through a flow sensor, and the pressure of the thermal power plant equipment can be collected through a pressure sensor, but it is not limited to this.
[0044] Specifically, taking all the data generated during the operation of a thermal power plant as an example, since all the data generated cover a large amount of equipment operation data, the equipment operation data monitoring module 1013 can only select the operation safety data related to the safe operation of the equipment of the thermal power plant, thereby reducing the operation data of the thermal power plant and improving the processing efficiency of the thermal power plant safety monitoring and management system.
[0045] In some embodiments, Figure 1 As shown, the intelligent analysis layer 102 includes a data platform 1021 and an analysis module 1022, wherein:
[0046] The data platform 1021 communicates with the monitoring perception layer 101 through the network, receives and stores security-related data, and transmits the security-related data to the analysis module 1022 .
[0047] The data platform 1021 may be composed of a memory and a wireless network data transceiver, but is not limited thereto.
[0048] Specifically, the wireless network data receiving and sending device can be used to receive and send security-related data, and the security-related data can be stored in a memory to facilitate later calls.
[0049] The analysis module 1022 communicates with the data platform 1021 module through the network and is used to screen the security-related data based on the security thresholds corresponding to the security-related data.
[0050] In some embodiments, security-related data can be divided into normal security-related data and abnormal security-related data by security thresholds. Then, only abnormal security-related data needs to be processed, and normal security-related data does not need to be processed, thereby reducing the amount of security-related data and speeding up the processing.
[0051] In some embodiments, Figure 1 As shown, the intelligent analysis layer 102 also includes a machine learning module 1023, wherein:
[0052] The machine learning module 1023 communicates with the analysis module 1022 via a network and is used to perform security threshold training on historical security-related data to obtain security thresholds corresponding to the security-related data.
[0053] In some embodiments, the machine learning module 1023 obtains corresponding security thresholds for different security-related data through different machine learning algorithms, and sends the security thresholds to the analysis module 1022 through the network, so as to obtain security screening results corresponding to the security-related data and realize intelligent management of security-related data.
[0054] In some embodiments, Figure 1 As shown, the analysis and decision-making layer 103 includes a manual analysis module 1031, an inspection module 1032 and an execution module 1033, wherein:
[0055] The manual analysis module 1031 communicates with the analysis module through the network, is used to receive the security screening results of the analysis module, and manually verify the correctness of the security screening results.
[0056] In some embodiments, the security screening results can be verified by professional technicians to remove security screening results with large errors to ensure the correctness of all security screening results.
[0057] The inspection module 1032 communicates with the analysis module through the network and is used to inspect the equipment of the thermal power plant corresponding to the safety screening result.
[0058] In some embodiments, the inspection may be performed manually or by an intelligent robot, and this embodiment does not specifically limit this.
[0059] Specifically, on the one hand, manual inspections can be used for areas in thermal power plants that are not dangerous. On the other hand, robot inspections can be used for areas that may be dangerous or where it is difficult for manual labor to carry out operations. Fault diagnosis and troubleshooting can also be carried out. Thus, in terms of inspections, a combination of robot and manual inspections can be adopted according to dangerous areas and non-dangerous areas, thereby improving the safety of inspections and avoiding safety accidents that may be caused by inspections of dangerous points or areas where it is difficult for manual labor to carry out operations.
[0060] The execution module 1033 communicates with the analysis module through the network to generate monitoring instructions corresponding to the safety screening results and regulate the thermal power plant based on the monitoring instructions.
[0061] In some embodiments, the thermal power plant can be regulated by monitoring instructions, while abnormal conditions can be published through the thermal power plant's broadcasting system, and the monitoring instructions can be sent to the client to facilitate relevant technical personnel to comprehensively view and process in real time to ensure the safety of the thermal power plant.
[0062] The present application proposes a safety monitoring system for a thermal power plant, which includes a monitoring perception layer, an intelligent analysis layer and a research and judgment decision layer, wherein the monitoring perception layer communicates with the intelligent analysis layer through a network, and is used to obtain all safety-related data of the thermal power plant, and send the safety-related data to the intelligent analysis layer, the intelligent analysis layer is used to receive and store the safety-related data, and perform safety screening on the safety-related data based on the safety threshold corresponding to the safety-related data, the research and judgment decision layer communicates with the intelligent analysis layer through a network, and is used to perform safety screening results based on the received safety-related data, and generate monitoring instructions corresponding to the safety screening results, so as to control the thermal power plant. Thus, based on the safety screening of all safety-related data of the thermal power plant, the thermal power plant is controlled according to the monitoring instructions corresponding to the safety screening results, so as to realize all-round monitoring of the thermal power plant and improve the accuracy of safety monitoring of the thermal power plant.
[0063] On the other hand, the present application proposes a safety monitoring method for a thermal power plant, such as Figure 2 As shown, Figure 2 It is a flow chart of a safety monitoring method for a thermal power plant according to an embodiment of the present application.
[0064] Step 201, obtaining all safety-related data of the thermal power plant.
[0065] In some embodiments, an implementation method for obtaining all safety-related data of a thermal power plant is to obtain the environmental safety data of the thermal power plant, the scene safety data of the thermal power plant, and the operational safety data of the thermal power plant equipment, and use the environmental safety data, scene safety data, and operational safety data as safety-related data, thereby achieving all-round monitoring of the safety-related data of the thermal power plant and improving the accuracy of safety monitoring of the thermal power plant.
[0066] Step 202: Perform security screening on the security-related data to obtain security screening results of the security-related data.
[0067] In some embodiments, security screening is performed on security-related data to obtain a security screening result of the security-related data. One implementation method is to obtain a security threshold corresponding to the security-related data, screen the security-related data based on the security threshold, and use security-related data greater than the security threshold as the security screening result, thereby achieving accurate screening of security-related data and realizing intelligent processing of security-related data.
[0068] Specifically, historical safety-related data of the thermal power plant can be obtained, and the historical safety-related data can be trained and processed through a machine learning algorithm to obtain the corresponding safety thresholds under the safe operation of the thermal power plant.
[0069] Among them, video data, personnel location data, environmental sound settings and operation monitoring data can be used as historical relevant safety data respectively. The above historical relevant safety data have been trained and processed through different machine learning algorithms to obtain the corresponding safety thresholds under the safe operation of the thermal power plant, and at the same time, the abnormal situations corresponding to the historical relevant safety data are displayed, as shown in Table 1.
[0070] Table 1. Methods for establishing data safety thresholds
[0071]
[0072] Step 203: Generate monitoring instructions corresponding to the safety screening results according to the safety screening results, and regulate the thermal power plant based on the monitoring instructions.
[0073] In some embodiments, monitoring instructions corresponding to the safety screening results are generated based on the safety screening results, and an implementation method for regulating the thermal power plant based on the monitoring instructions may be to obtain initial safety screening results, verify the correctness of the initial safety screening results to obtain correct safety screening results, obtain inspection results of the equipment in the thermal power plant, and when the inspection results match the safety screening results, generate monitoring instructions corresponding to the safety screening results, and regulate the thermal power plant based on the monitoring instructions.
[0074] The present application proposes a safety monitoring method for a thermal power plant, which obtains all safety-related data of the thermal power plant and performs safety screening on the safety-related data to obtain safety screening results of the safety-related data. According to the safety screening results, monitoring instructions corresponding to the safety screening results are generated, and the thermal power plant is regulated based on the monitoring instructions. Thus, based on performing safety screening on all safety-related data of the thermal power plant and regulating the thermal power plant according to the monitoring instructions corresponding to the safety screening results, all-round monitoring of the thermal power plant is achieved, thereby improving the accuracy of safety monitoring of the thermal power plant.
[0075] In summary, in order to further understand the safety monitoring system of the thermal power plant of the present application, the present application proposes a flow chart for processing safety risks of the thermal power plant, such as Figure 3 As shown, by monitoring the environmental status of the thermal power plant, the thermal power plant scene monitoring and the thermal power plant equipment operation data monitoring, the corresponding safety-related data such as abnormal environmental sounds, abnormal concentrations of harmful substances, suspected fire and smoke, incorrect personnel positions, and monitoring data exceeding the normal range can be obtained, and uploaded to the corresponding data platform of the thermal power plant, and the safety-related data is analyzed to determine the risk source, view the corresponding video, and then take corresponding disposal measures, and issue evacuation information, while performing intelligent fault diagnosis, and then conduct inspections through manual or robot inspections to realize the investigation of accident hazards in the thermal power plant.
[0076] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0077] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.
[0078] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.
Claims
1. A safety monitoring system for a thermal power plant, characterized in that: The safety monitoring system of the thermal power plant includes a monitoring perception layer, an intelligent analysis layer and a research and decision-making layer, wherein: The monitoring perception layer communicates with the intelligent analysis layer through a network to obtain all safety-related data of the thermal power plant and send the safety-related data to the intelligent analysis layer; The intelligent analysis layer is used to receive and store the security-related data, and perform security screening on the security-related data based on the security threshold corresponding to the security-related data; The research and decision-making layer communicates with the intelligent analysis layer through a network, and is used to perform safety screening according to the safety-related data received, generate monitoring instructions corresponding to the safety screening results, and regulate the thermal power plant based on the monitoring instructions; The safety-related data includes environmental safety data, scene safety data and operation safety data of the thermal power plant, and the monitoring perception layer includes an environmental status monitoring module, a scene monitoring module and an equipment operation data monitoring module, including: The environmental status monitoring module is used to obtain the environmental safety data of the thermal power plant; The scene monitoring module is used to obtain the scene safety data of the thermal power plant; The equipment operation data monitoring module is used to obtain the operation safety data of the equipment of the thermal power plant; The intelligent analysis layer includes a data platform and an analysis module, wherein: The data platform communicates with the monitoring perception layer through a network to receive and store the security-related data, and transmit the security-related data to the analysis module; The analysis module communicates with the data platform through a network, and is used to screen the security-related data based on the security threshold corresponding to the security-related data; The intelligent analysis layer also includes a machine learning module, wherein: The machine learning module communicates with the analysis module through a network to perform security threshold training on the historical security-related data to obtain a security threshold corresponding to the security-related data; The analysis and decision-making layer includes a manual analysis module, an inspection module and an execution module, wherein: The manual analysis module communicates with the analysis module through a network to receive the security screening results of the analysis module and manually verify the correctness of the security screening results; The inspection module communicates with the analysis module through a network to inspect the equipment of the thermal power plant corresponding to the safety screening result; The execution module communicates with the analysis module through a network, is used to generate a monitoring instruction corresponding to the safety screening result, and regulates the thermal power plant based on the monitoring instruction.
2. A safety monitoring method for a thermal power plant for executing the safety monitoring system for a thermal power plant according to claim 1, characterized in that: The method comprises: Obtaining all safety-related data of the thermal power plant; Performing security screening on the security-related data to obtain security screening results of the security-related data; According to the safety screening result, generating a monitoring instruction corresponding to the safety screening result, and regulating the thermal power plant based on the monitoring instruction; The obtaining of all safety-related data of the thermal power plant includes: Acquiring environmental safety data of the thermal power plant, scene safety data of the thermal power plant, and operational safety data of equipment in the thermal power plant; Using the environmental safety data, the scene safety data and the operation safety data as the safety-related data; The performing security screening on the security-related data to obtain a security screening result of the security-related data includes: Obtaining a security threshold corresponding to the security-related data; Based on the safety threshold, the safety-related data is screened, and the safety-related data greater than the safety threshold is used as a safety screening result; The obtaining of the security threshold corresponding to the security-related data includes: Obtaining historical safety-related data of the thermal power plant; Training the historical safety-related data through a machine learning algorithm to obtain a corresponding safety threshold under the safe operation of the thermal power plant; The step of generating a monitoring instruction corresponding to the safety screening result according to the safety screening result, and regulating the thermal power plant based on the monitoring instruction includes: Obtaining the initial security screening results and verifying the correctness of the initial security screening results to obtain correct security screening results; Obtaining inspection results of equipment in the thermal power plant; In the case where the inspection result matches the safety screening result, a monitoring instruction corresponding to the safety screening result is generated, and the thermal power plant is regulated based on the monitoring instruction.
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