Power plant production area safety early warning system

By adopting dual-frequency transmission, recurrent neural network and electronic fence technologies in the power plant safety warning system, the shortcomings of the existing system in data analysis accuracy and anti-electromagnetic interference capabilities are solved, and more efficient and stable data transmission and more accurate safety warning are achieved, which improves the chance of escape of employees.

CN120220319APending Publication Date: 2025-06-27HUANENG YANTAI BAJIAO THERMOELECTRIC CO LTD
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Patent Information

Application Number
CN202510289334.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-12
Publication Date
2025-06-27

AI Technical Summary

Technical Problem

The existing power plant safety warning system has shortcomings in data analysis accuracy and anti-electromagnetic interference capabilities, which makes it difficult to detect and warn safety problems in a timely manner, and the system is poor in practicality.

Method used

Dual-frequency transmission is used to combine data buffering and forward error correction to ensure the efficiency and stability of data transmission; centralized analysis of multiple aspects of data through recurrent neural networks to improve the accuracy of safety warning; during early warning, through electronic fences and safety channels, employees panic and increased the chance of escape.

Benefits of technology

It improves the stability of data transmission and the accuracy of security warnings, reduces employees' panic during early warnings, and increases the chance of employees' escape.

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Abstract

The invention relates to the technical field of safety early warning, in particular to a power plant production area safety early warning system which comprises a data acquisition module, a data transmission module, a data analysis module, a safety early warning module, a data storage module and a control management module. According to the method, the efficiency and stability of data transmission are guaranteed through analysis of electromagnetic interference and intelligent switching decision, dual-frequency transmission is adopted, data buffering and forward error correction are combined, then centralized analysis is conducted on data in multiple aspects through a recurrent neural network, the safety early warning accuracy is improved, and the safety early warning efficiency is improved. In addition, by means of an electronic fence and a safety channel guiding mode, during early warning, panic of the employees is reduced, and the escape probability of the employees is increased.
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Description

Technical Field

[0001] The present invention relates to the technical field of safety warning, and particularly to a safety warning system for the production area of a power plant. Background Art

[0002] A power plant, also known as a power station or generating station, is a factory or facility responsible for converting various energy sources (such as water energy, coal, oil, natural gas, nuclear energy, wind energy, solar energy, etc.) into electrical energy. To reduce the occurrence of safety accidents, the traditional method is for staff to conduct inspections. When problems are found, they report and repair immediately to achieve safety warning. However, this is time-consuming and laborious, and the accuracy of safety warning is relatively poor.

[0003] Therefore, there are inventions such as a smart power plant safety supervision reminder and warning system disclosed in the invention patent with the publication number CN116030607B and a thermal power plant power supply safety warning system disclosed in the invention patent application with the publication number CN116609696A, etc., to achieve supervision, monitoring, and safety warning within the power plant.

[0004] However, it is found during use that the data analyzed by the above methods is relatively single, affecting the accuracy of analysis. Secondly, electromagnetic interference exists in most power plants. When using conventional sensors to supervise and detect various equipment, buildings, and personnel, after collecting data, it is easily affected by the surrounding electromagnetic interference, resulting in data interruption, causing the system to delay in analyzing the data. When safety problems occur during this period, it is difficult to detect and warn in a timely manner. And because the requirements for new lines and equipment in the power plant are relatively strict, it is not convenient to re-lay signal lines in the power plant, resulting in poor practicability. Therefore, there is an urgent need for a safety warning system for the production area of a power plant to improve the above problems. Summary of the Invention

[0005] To solve the above technical problems, the present invention provides a safety warning system for the production area of a power plant, which analyzes electromagnetic interference and makes intelligent switching decisions, adopts dual-frequency transmission, combines data buffering and forward error correction to ensure the efficiency and stability of data transmission. Secondly, it centrally analyzes multi-faceted data by using a recurrent neural network to improve the accuracy of safety warning. Furthermore, through the methods of electronic fence and safety passage guidance, it reduces the panic of employees and increases the escape probability of employees when warning.

[0006] A safety warning system for the production area of a power plant according to the present invention includes:

[0007] A data acquisition module: monitors the operating conditions of various equipment in the power plant in real time, monitors the conditions of various key buildings in the power plant in real time, and monitors the physical conditions of staff in real time;

[0008] Data transmission module: Transmits the data acquired by the data acquisition module to the data analysis module in a dual - frequency manner, and during the transmission process, analyzes the surrounding electromagnetic interference frequencies and changes the transmission frequency to ensure stable data transmission;

[0009] Data analysis module: Receives the data sent by the data transmission module, analyzes the data, and determines whether there are potential hazards for each device, key building, and staff member in the power plant;

[0010] Safety warning module: After detecting potential hazards, issues safety warnings to designated areas or all staff members according to the hazard level;

[0011] Data storage module: Receives and stores the data transmitted from the data transmission module, data analysis module, and control management module;

[0012] Control management module: Centralizes the management of the data acquisition module, data transmission module, data analysis module, safety warning module, and data storage module, provides a platform for staff to interact with the system, and checks the identity information of staff members. During the operation of the system, records the operation process of the system, and when a system failure occurs, it is convenient to trace the cause of the failure.

[0013] Preferably, the data acquisition module includes:

[0014] Equipment data acquisition module: Distributed on each device in the power plant to acquire the operation data of each device in the power plant;

[0015] Building data acquisition module: Distributed at key positions of each key building in the power plant to acquire the condition information of key buildings;

[0016] Personnel data acquisition module: Worn on the body of each staff member in the power plant to acquire the physical information of each staff member.

[0017] Preferably, the data transmission module includes:

[0018] Dual - band RF front - end unit: Transmits data wirelessly in a dual - frequency manner;

[0019] Anti - interference unit: Reduces the impact of electromagnetic interference on the dual - band RF front - end unit to ensure the transmission efficiency and stability of data.

[0020] Preferably, the anti - interference unit includes:

[0021] Spectrum sensing and interference detection unit: Detects electromagnetic interference, analyzes the spectrum of electromagnetic interference, and the type of electromagnetic interference;

[0022] Intelligent switching decision-making unit: Adopting the Q-learning model, according to the analysis results of the spectrum sensing and interference detection unit, it replaces the transmission channels of the dual-band RF front-end, and the Q-learning model is continuously optimized based on historical data to ensure the accuracy of the decision-making;

[0023] Data buffer unit: Temporarily stores data during the frequency band switching period to ensure no packet loss and no interruption;

[0024] Forward error correction unit: Adds redundant information during the data transmission process and uses the added redundant information to correct errors in the received data;

[0025] Directional protection unit: Provides directional protection against electromagnetic interference in specific time periods and specific directions.

[0026] Preferably, the data analysis module includes:

[0027] Recurrent neural network: Receives and analyzes the data sent by the data transmission module, and predicts the status of each device, key building or staff in the next period of time;

[0028] Database: Stores the training data of the recurrent neural network.

[0029] Preferably, the safety warning module includes:

[0030] Electronic fence unit: Delimits the dangerous area according to the analysis results of the data analysis module;

[0031] Alarm: The alarm in the delimited area emits an alarm to remind the staff;

[0032] Safety passage guiding unit: Guides the staff in the form of voice to leave the dangerous area through the safe route.

[0033] Preferably, the data storage module includes:

[0034] Data classification unit: Classifies the data according to the sending source;

[0035] Data management unit: Sets and manages the storage time of the data;

[0036] Data storage unit: Stores the classified data within a limited period, and automatically deletes the data that exceeds the storage period to ensure that the data storage unit has enough space to support the device stability.

[0037] Preferably, the control and management module includes:

[0038] Human-computer interaction unit: Provides a platform for the staff to interact with the system;

[0039] Central control unit: centrally manages the data acquisition module, data transmission module, data analysis module, security warning module, and data storage module;

[0040] Identity verification unit: verifies the identity of logged-in personnel to ensure system security;

[0041] Operation record unit: records the operation process of the system to facilitate tracing the cause of system failures.

[0042] Preferably, the directional protection unit includes: a mounting ring, a guide rail, an electric slider, and a protection plate. The guide rail is installed on the mounting ring, the electric slider is slidably installed on the guide rail, and the protection plate is installed on the electric slider; the mounting ring is fixedly installed on the equipment data acquisition unit and the building data acquisition unit. According to the detection results of spectrum sensing and interference detection, the electric slider slides on the guide rail to adjust the position of the protection plate to block part of the electromagnetic interference generated periodically and directionally.

[0043] Preferably, the protection plate is composed of a substrate, a heat insulation layer, and an electromagnetic interference blocking layer. The electromagnetic interference blocking layer is installed on the substrate through the heat insulation layer; the substrate supports the heat insulation layer and the electromagnetic interference blocking layer, the electromagnetic interference blocking layer blocks electromagnetic interference, and the heat insulation layer provides heat insulation.

[0044] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0045] 1. Through the analysis of electromagnetic interference and intelligent switching decision-making, adopting the method of dual-frequency transmission, combined with data buffering and forward error correction, to ensure the efficiency and stability of data transmission;

[0046] 2. By using a recurrent neural network to centrally analyze multi-faceted data, improving the accuracy of security warnings;

[0047] 3. By means of an electronic fence and safety passage guidance, during warnings, reduce employee panic and increase the chance of employee escape;

[0048] 4. Through the method of dual-frequency transmission, combined with data buffering and forward error correction, achieve seamless connection during frequency switching and improve the stability of data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 is a schematic structural diagram of the safety warning system for the power plant production area of the present invention;

[0050] Figure 2 is a schematic structural diagram of the data acquisition module of the present invention;

[0051] Figure 3 is a schematic structural diagram of the data transmission module of the present invention;

[0052] Figure 4 It is a schematic structural diagram of the anti-interference unit of the present invention;

[0053] Figure 5 It is a schematic structural diagram of the data analysis module of the present invention;

[0054] Figure 6 It is a schematic structural diagram of the safety warning module of the present invention;

[0055] Figure 7 It is a schematic structural diagram of the data storage module of the present invention;

[0056] Figure 8 It is a schematic structural diagram of the control and management module of the present invention;

[0057] Figure 9 It is a first axonometric structural diagram of the directional protection unit of the present invention;

[0058] Figure 10 It is a second axonometric structural diagram of the directional protection unit of the present invention;

[0059] Figure 11 It is a front view structural diagram of the protection plate of the present invention.

[0060] Markings in the drawings: 1. Installation ring; 2. Guide rail; 3. Electric slider; 4. Protection plate; 5. Substrate; 6. Heat insulation layer; 7. Electromagnetic interference blocking layer. Detailed implementation manners

[0061] For the convenience of understanding the present invention, the present invention will be described more comprehensively below with reference to the relevant drawings. The present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided to make the disclosure of the present invention more thorough and comprehensive.

[0062] Embodiment: As Figures 1 to 11 shown, a safety warning system for a power plant production area includes:

[0063] Data acquisition module: Real-time monitoring of the operating conditions of various equipment in the power plant (such as temperature, pressure, noise, vibration, current, voltage, gas concentration, etc.), real-time monitoring of the conditions of various key buildings in the power plant (such as inclination, displacement, settlement, and cracks, etc.), and real-time monitoring of the physical conditions of the staff (such as body temperature, heart rate, and movements, etc.);

[0064] Data transmission module: Transmit the data acquired by the data acquisition module to the data analysis module in a dual-frequency manner, and during the transmission process, analyze the surrounding electromagnetic interference frequencies and change the transmission frequency to ensure the stable transmission of the data;

[0065] Data analysis module: Receives the data sent by the data transmission module, analyzes the data, and determines whether there are potential hazards for each device, key building, and staff member in the power plant;

[0066] Safety warning module: After detecting potential hazards, issues safety warnings to the staff in the designated area or all staff according to the hazard level;

[0067] Data storage module: Receives and stores the data transmitted from the data transmission module, data analysis module, and control and management module;

[0068] Control and management module: Centralizes the management of the data acquisition module, data transmission module, data analysis module, safety warning module, and data storage module, provides a platform for staff to interact with the system, verifies the identity information of the staff, records the operation process of the system during system operation, and facilitates tracing the cause of faults when system failures occur;

[0069] The data acquisition module includes:

[0070] Equipment data acquisition module: Distributed on each device in the power plant, acquires the operation data of each device in the power plant;

[0071] Building data acquisition module: Distributed at key positions of each key building in the power plant, acquires the condition information of key buildings;

[0072] Personnel data acquisition module: Worn on each staff member in the power plant, acquires the physical information of each staff member;

[0073] The data transmission module includes:

[0074] Dual-band RF front-end unit: Transmits data wirelessly in a dual-band (such as 2.4GHz and Sub-1GHz) manner;

[0075] Anti-interference unit: Reduces the impact of electromagnetic interference on the dual-band RF front-end unit, ensuring the transmission efficiency and stability of data;

[0076] The anti-interference unit includes:

[0077] Spectrum sensing and interference detection unit: Detects electromagnetic interference, analyzes the spectrum of electromagnetic interference, and the type of electromagnetic interference;

[0078] Intelligent switching decision unit: Adopts a Q-learning model, replaces the transmission channel of the dual-band RF front-end according to the analysis results of the spectrum sensing and interference detection unit, and continuously optimizes the Q-learning model based on historical data to ensure the accuracy of decisions;

[0079] The core formula of the Q-learning model is the Q value update formula:

[0080] Q(s t ,a t )←Q(s t ,a t )+α[R(s t ,a t )+γ· a′ maxQ(s t +1,a′)-Q(s t ,a t )]

[0081] Among them, Q(s t ,a t ): indicates that in state s t The action a is performed t The action value (Q value), that is, the expected cumulative reward;

[0082] a (learning rate, LearningRate): the value range is 0<α≤1, which controls the weight of new information covering old information;

[0083] If a=0, the Q value is not updated, if a=1, the old value is completely replaced by the new value;

[0084] R(s t ,a t )(Immediate Reward): In state s t Execute action a t After that, the immediate reward value of the environment feedback;

[0085] γ (Discount Factor): value range (0\leq\gamma<1\), balancing the importance of current rewards and future rewards;

[0086] The larger γ is, the more the agent values ​​long-term benefits. γ = 0 means only immediate rewards are considered.

[0087] max a′ Q(s t+1 ,a′): in the next state s t +1, the action a′ corresponding to the maximum Q value is selected, which represents the estimation of the optimal future action;

[0088] Q(s t+1 ,a′): indicates that in the next state s t +1, the Q-value of all possible actions a′;

[0089] Data buffer unit: temporarily stores data during frequency band switching to ensure no packet loss or interruption;

[0090] Forward error correction unit: Add redundant information during data transmission and use the added redundant information to correct errors in the received data;

[0091] The forward error correction unit adopts LDPC codes, with high error correction ability and low redundancy rate;

[0092] Directional protection unit: Provide directional protection against electromagnetic interference in specific time periods and fixed directions (for example, some equipment in power plants is turned on and off regularly, and electromagnetic interference will be generated when it is in the on state);

[0093] The data analysis module includes:

[0094] Recurrent neural network: Receive and analyze the data sent by the data transmission module, and predict the conditions of various devices, key buildings, or staff in the next period of time;

[0095] Database: Store the training data of the recurrent neural network;

[0096] The safety warning module includes:

[0097] Electronic fence unit: Delimit the dangerous area according to the analysis results of the data analysis module;

[0098] Alarm: The alarm in the delimited area issues an alarm to remind the staff;

[0099] Safety passage guidance unit: Guide the staff in the form of voice to leave the dangerous area through the safe route;

[0100] The data storage module includes:

[0101] Data classification unit: Classify the data according to the sending source;

[0102] Data management unit: Set and manage the storage time of the data;

[0103] Data storage unit: Store the classified data within a limited time, and automatically delete the data that exceeds the storage period to ensure that the data storage unit has enough space to support the stability of the equipment;

[0104] The control and management module includes:

[0105] Human-computer interaction unit: Provide a platform for the staff to interact with the system;

[0106] Central control unit: Conduct centralized management of the data acquisition module, data transmission module, data analysis module, safety warning module, and data storage module;

[0107] Identity verification unit: Verifies the identity of logged-in personnel to ensure system security;

[0108] Operation record unit: Records the operation process of the system to facilitate tracing the cause of system failures;

[0109] The directional protection unit includes: mounting ring 1, guide rail 2, electric slider 3 and protection plate 4. The guide rail 2 is installed on the mounting ring 1, the electric slider 3 is slidably installed on the guide rail 2, and the protection plate 4 is installed on the electric slider 3;

[0110] The protection plate 4 is composed of a substrate 5, a heat insulation layer 6 and an electromagnetic interference blocking layer 7. The electromagnetic interference blocking layer 7 is installed on the substrate 5 through the heat insulation layer 6.

[0111] The main functions achieved by the present invention are:

[0112] 1. By analyzing electromagnetic interference and making intelligent switching decisions, and adopting dual-frequency transmission, combined with data buffering and forward error correction, to ensure the efficiency and stability of data transmission;

[0113] 2. By using a recurrent neural network to centrally analyze multi-faceted data, to improve the accuracy of security warnings;

[0114] 3. By means of an electronic fence and safety passage guidance, during warnings, reduce employee panic and increase the chance of employee escape;

[0115] 4. By means of dual-frequency transmission, combined with data buffering and forward error correction, to achieve seamless connection during frequency switching and improve the stability of data transmission.

[0116] For a safety warning system in a power plant production area of the present invention, its installation method, connection method or setting method are all common mechanical methods, and any implementation that can achieve its beneficial effects can be carried out; the device data acquisition unit, building data acquisition unit, personnel data acquisition unit, data transmission module and safety warning module are all in several groups, and the specific data used depends on the actual power plant environment and scale; the electric slider 3 and the protection plate 4 of a safety warning system in a power plant production area of the present invention are purchased on the market, and those skilled in the art only need to install and operate according to the attached user manual, without the need for those skilled in the art to make creative efforts.

[0117] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the technical principle of the present invention, several improvements and modifications can still be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A power plant production area safety early warning system, characterized in that: include: Data acquisition module: real-time monitoring of the operation of each device in the power plant, the status of each key building in the power plant, and the physical condition of the staff; Data transmission module: The data acquired by the data acquisition module is transmitted to the data analysis module through a dual-frequency method. During the transmission process, the surrounding electromagnetic interference frequency is analyzed and the transmission frequency is changed to ensure stable data transmission; Data analysis module: Receives data sent by the data transmission module and analyzes the data to determine whether there are hidden dangers in various equipment, key buildings and staff in the power plant; Safety warning module: after the hidden danger is detected, the safety warning will be issued to the designated area or all staff according to the hidden danger level; Data storage module: receiving and storing data transmitted from the data transmission module, data analysis module and control management module; Control management module: Centrally manage the data acquisition module, data transmission module, data analysis module, safety warning module and data storage module, and provide a platform for staff to interact with the system. At the same time, the identity information of the staff is verified. During the operation of the system, the operation process of the system is recorded. When a system failure occurs, it is convenient to trace the cause of the failure.

2. A power plant production area safety early warning system as claimed in claim 1, characterized in that: The data acquisition module comprises: Equipment data acquisition module: distributed on various equipment in the power plant, to acquire the operating data of various equipment in the power plant; Building data acquisition module: distributed in key locations of key buildings in the power plant to acquire key building status information; Personnel data acquisition module: worn by every staff member in the power plant to acquire the physical information of each staff member.

3. A power plant production area safety early warning system as claimed in claim 1, characterized in that: The data transmission module comprises: Dual-band RF front-end unit: uses dual-band mode to transmit data wirelessly; Anti-interference unit: reduces the impact of electromagnetic interference on the dual-band RF front-end unit to ensure data transmission efficiency and stability.

4. A power plant production area safety early warning system as claimed in claim 3, characterized in that: The anti-interference unit comprises: Spectrum sensing and interference detection unit: detects electromagnetic interference and analyzes the spectrum and type of electromagnetic interference; Intelligent switching decision unit: Using the Q-learning model, the transmission channel of the dual-band RF front end is replaced according to the analysis results of the spectrum sensing and interference detection unit. The Q-learning model is continuously optimized based on historical data to ensure the accuracy of decision-making. Data buffer unit: temporarily stores data during frequency band switching to ensure no packet loss or interruption; Forward Error Correction Unit: adds redundant information during data transmission and uses the added redundant information to correct errors in the received data; Directional protection unit: provides directional protection against electromagnetic interference in a specific time period and fixed direction.

5. A power plant production area safety early warning system as claimed in claim 1, characterized in that: The data analysis module includes: Recurrent neural network: Receives and analyzes data from the data transmission module to predict the status of each device, key building or staff member in the future; Database: Stores the training data of the recurrent neural network.

6. A power plant production area safety early warning system as claimed in claim 1, characterized in that: The safety warning module includes: Electronic fence unit: demarcates dangerous areas based on the analysis results of the data analysis module; Siren: Siren within the designated area sounds an alarm to alert staff; Safety channel guidance unit: guides the staff through voice to leave the dangerous area through a safe route.

7. A power plant production area safety early warning system as claimed in claim 1, characterized in that: The data storage module comprises: Data classification unit: classifies data according to the sending source; Data management unit: set and manage the storage time of data; Data storage unit: The classified data is stored for a limited period of time, and the data that exceeds the storage period is automatically deleted to ensure that the data storage unit has enough space to support the stability of the equipment.

8. A power plant production area safety early warning system as claimed in claim 1, characterized in that: The control management module includes: Human-computer interaction unit: provides a platform for staff to interact with the system; Central control unit: centrally manages the data acquisition module, data transmission module, data analysis module, safety warning module and data storage module; Identity verification unit: Verify the identity of the login personnel to ensure system security; Operation recording unit: records the system's operation process to facilitate tracing the cause of system failure.

9. A power plant production area safety early warning system as claimed in claim 4, characterized in that: The directional protection unit comprises: a mounting ring (1), a guide rail (2), an electric slider (3) and a protection plate (4); the guide rail (2) is mounted on the mounting ring (1); the electric slider (3) is slidably mounted on the guide rail (2); and the protection plate (4) is mounted on the electric slider (3).

10. A power plant production area safety early warning system as claimed in claim 9, characterized in that: The protective plate (4) is composed of a substrate (5), a heat insulation layer (6) and an electromagnetic interference blocking layer (7); the electromagnetic interference blocking layer (7) is installed on the substrate (5) through the heat insulation layer (6).

Citation Information

Patent Citations

  • A smart power plant safety monitoring, reminder, and early warning system

    CN116030607B

  • Thermal power plant power supply safety early warning system

    CN116609696A