A thermal power plant intelligent safety operation supervision system

Abstract

The present invention discloses an intelligent safety operation supervision system for a thermal power plant, comprising: a front-end equipment unit; a network transmission unit; a data processing and analysis unit; an application service unit; and a user terminal unit. The present invention relates to the technical field of thermal power plant supervision. Through AI video intelligent analysis technology, the system can automatically identify risk factors such as strangers, abnormal behaviors, and dangerous goods, and issue warnings in real time, significantly improving the accuracy and timeliness of risk identification. The combination of high-definition cameras and multiple sensors realizes all-weather, no-dead-angle monitoring of key areas of the thermal power plant, ensuring that any potential risks can be discovered in a timely manner. The system automatically processes a large amount of video data and sensor data, reducing the need for manual intervention and improving management efficiency and response speed. Through the Internet of Things technology, video surveillance, access control systems, alarm systems and other equipment are organically combined to ensure rapid response and effective disposal.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal power plant safety supervision, and in particular to an intelligent safety operation supervision system for a thermal power plant. Background Art

[0002] As an important facility for energy production, the safe operation of thermal power plants is of vital importance. Traditional thermal power plant safety management mainly relies on manual monitoring and regular inspections, which has many limitations:

[0003] Limited coverage: Traditional manual monitoring is difficult to cover all key areas, and is prone to blind spots, leading to safety hazards.

[0004] Slow response speed: Manual detection of abnormal situations and taking measures are slow, which can easily lead to missing the best time to handle the situation, increasing the risk of accidents.

[0005] Low data processing efficiency: A large amount of video data requires manual review, which is time-consuming, labor-intensive, and error-prone, and it is impossible to detect potential risks in a timely manner.

[0006] There are many potential safety hazards: the lack of effective risk identification and early warning mechanisms makes safety accidents prone to occur, affecting production and personnel safety.

[0007] In addition, traditional access control systems and environmental monitoring equipment are relatively independent, making it difficult to achieve comprehensive data analysis and linkage alarms, further limiting the effectiveness of security management. Summary of the invention

[0008] The purpose of the present invention is to provide an intelligent safety operation supervision system for a thermal power plant, aiming to solve the above-mentioned problems existing in the prior art.

[0009] The technical solution of the present invention to achieve the above-mentioned purpose is a thermal power plant intelligent safety operation supervision system, comprising:

[0010] Front-end equipment unit: includes high-definition cameras, sensors and access control systems, used to collect video data and environmental data;

[0011] Network transmission unit: ensures efficient transmission and preliminary processing of video data and sensor data through high-speed networks and edge computing nodes;

[0012] Data processing and analysis unit: including cloud servers and AI video intelligent analysis platform for data storage, processing and intelligent analysis;

[0013] Application service unit: provides integrated management platform, mobile APP and alarm linkage system, supporting multi-terminal synchronous monitoring and alarm;

[0014] User terminal unit: including PC, mobile and large-screen display, which is convenient for managers to view monitoring information and receive alarm notifications in real time.

[0015] Preferably, in the front-end device unit:

[0016] HD cameras: with 4K ultra-high-definition resolution, night vision and wide dynamic range, installed in key areas of thermal power plants, including control rooms, boiler rooms and substations;

[0017] Sensors: including temperature sensors, pressure sensors, smoke sensors, gas sensors and vibration sensors, which monitor environmental parameters and warn of abnormal conditions;

[0018] Access control system: Combines card readers, gate machines and linkage devices to achieve personnel entry and exit records and permission management.

[0019] Preferably, in the network transmission unit:

[0020] High-speed network: Gigabit Ethernet or Wi-Fi 6 / 5G private network is used to ensure stable and reliable data transmission, and redundant design is set to ensure high availability;

[0021] Edge computing nodes: Deploy high-performance embedded computers equipped with GPU acceleration modules to perform local video preprocessing and preliminary analysis to reduce cloud load and latency.

[0022] Preferably, in the data processing and analysis unit:

[0023] Cloud servers: Choose a cloud service provider that supports large-scale data analysis and machine learning model training;

[0024] AI video intelligent analysis platform: Based on deep learning algorithms, it provides face recognition, behavior recognition, and scene adaptation intelligent analysis functions;

[0025] Database: Use relational and non-relational databases to store structured and unstructured data, and back up important data regularly.

[0026] Preferably, in the application service unit:

[0027] Comprehensive management platform: provides a unified operation interface, supports real-time monitoring, alarm management, authority configuration and report generation functions;

[0028] Mobile APP: supports iOS and Android operating systems, providing real-time monitoring screen viewing, alarm notification reception and remote access control functions;

[0029] Alarm linkage system: Linked with on-site sound and light alarms, SMS notifications, and email notifications to form a comprehensive safety protection system.

[0030] Preferably, in the user terminal unit:

[0031] PC: Supports Windows, macOS, and Linux operating systems, and provides dedicated clients to support more advanced functions;

[0032] Mobile terminal: suitable for smartphones and tablets, adaptive to screens of different sizes to provide the best display effect;

[0033] Large screen display: real-time display of monitoring images, alarm information and key indicators, supporting touch screen or remote control operation.

[0034] Preferably, a video intelligent analysis module and a scene adaptation module are provided in the data processing and analysis unit, and the video intelligent analysis module includes:

[0035] Stranger identification: Use deep learning algorithms to quickly and accurately identify strangers entering key areas, mark their identity information, and trigger alarms in real time;

[0036] Dynamic analysis of personnel control: real-time tracking and recording of personnel movements, identification of abnormal behaviors, and issuance of warnings. The abnormal behaviors include prolonged stays, frequent entry and exit, and gatherings.

[0037] Area intrusion detection: Set up a virtual fence to immediately trigger an alarm when an unauthorized person enters and record the intruder's path;

[0038] Permission control: assign corresponding permissions to employees in different positions to ensure that only authorized personnel can enter specific areas, and support online modification and revocation of permissions;

[0039] The scene adaptation module includes:

[0040] Dangerous behavior identification: Identify dangerous behaviors in various work scenarios and issue warnings in real time. The dangerous behaviors include not wearing a safety helmet and operating equipment in violation of regulations.

[0041] Abnormal object detection: detect abnormal objects in the working area to prevent accidents;

[0042] Environmental change perception: monitor changes in environmental parameters and provide early warning of potential risks.

[0043] Preferably, the data processing and analysis unit is further provided with a standardized operation identification and supervision module, and the standardized operation identification and supervision module includes:

[0044] Standardized operation identification: Capture the operator's actions through video analysis to determine whether they comply with the prescribed process, and immediately issue voice or text reminders if there are any violations;

[0045] Video evidence collection: Video evidence collection of illegal operations as a basis for subsequent training and assessment;

[0046] Operation process audit: record the detailed process of each operation, generate a complete operation log, and establish a strict audit mechanism to ensure that each operation meets safety standards.

[0047] Preferably, a linkage alarm module is provided in the application service unit, and the linkage alarm module includes:

[0048] Real-time push: Alarm information is synchronized to PC, mobile and large-screen in real time to ensure that all relevant personnel can obtain information in a timely manner;

[0049] Message confirmation: Support message confirmation function to ensure that the alarm information is received and processed by relevant personnel;

[0050] Historical records: save the historical records of all alarm information for easy query and analysis afterwards;

[0051] Linkage mechanism: Linked with fire protection system, security system and other safety facilities to form a comprehensive safety protection system.

[0052] The beneficial effects of the present invention are:

[0053] 1. Improved security:

[0054] Real-time risk identification: Through AI video intelligent analysis technology, the system can automatically identify risk factors such as strangers, abnormal behaviors, and dangerous items, and issue warnings in real time, significantly improving the accuracy and timeliness of risk identification.

[0055] All-round monitoring: The combination of high-definition cameras and multiple sensors enables all-weather, no-blind-angle monitoring of key areas of the thermal power plant, ensuring that any potential risks can be discovered in a timely manner.

[0056] Environmental perception: monitor changes in environmental parameters (such as temperature, humidity, gas concentration, etc.), provide early warning of potential risks, and prevent accidents.

[0057] 2. Improve management efficiency:

[0058] Automated monitoring: The system automatically processes large amounts of video data and sensor data, reducing the need for human intervention and improving management efficiency and response speed.

[0059] Intelligent linkage alarm: Through the Internet of Things technology, video surveillance, access control systems, alarm systems and other equipment are organically combined to form a comprehensive security protection system to ensure rapid response and effective disposal.

[0060] Multi-terminal synchronous push: Alarm information is synchronized to PC, mobile terminal and large screen in real time to ensure that all relevant personnel can obtain information in time and take prompt action.

[0061] 3. Enhanced Compliance:

[0062] Standardized operation supervision: Through video analysis and motion capture technology, the operating behavior of operators is monitored in real time to ensure that each operation meets safety standards and prevent illegal operations and accidents.

[0063] Video evidence collection: Video evidence collection of illegal operations will serve as the basis for subsequent training and assessment, and promote employees' safety awareness and operational standardization.

[0064] Operation process audit: record the detailed process of each operation, generate a complete operation log, and establish a strict audit mechanism to ensure that each operation meets safety standards.

[0065] 4. Optimize resource allocation:

[0066] Dynamic permission management: Based on identity authentication and behavior analysis, more flexible and strict permission management is achieved to ensure that only authorized personnel can enter specific areas and arrange human resources reasonably.

[0067] Data-driven decision-making: Through the analysis of historical data, scientific data support is provided to help management units make more informed decisions, optimize resource allocation and reduce costs.

[0068] 5. Green and environmentally friendly:

[0069] Reduce energy consumption: Through intelligent monitoring and analysis, rationally arrange personnel and equipment resources, reduce unnecessary energy consumption, and comply with the concept of sustainable development.

[0070] Prevent environmental pollution: Provide early warning of potential environmental risks, prevent accidents, and reduce environmental pollution caused by accidents. DETAILED DESCRIPTION

[0071] The present invention will be further described below in conjunction with the embodiments.

[0072] Example:

[0073] This embodiment provides a thermal power plant intelligent safety operation supervision system, including:

[0074] Front-end equipment unit:

[0075] HD cameras: Installed in key areas of thermal power plants, such as control rooms, boiler rooms, substations, etc., to collect HD video data in real time.

[0076] Sensors: including temperature sensors, pressure sensors, smoke sensors, gas sensors and vibration sensors, which monitor environmental parameters and warn of abnormal conditions.

[0077] Access control system: combines card readers, gate machines and linkage devices to record personnel entry and exit information and link with the video surveillance system.

[0078] Network transmission unit:

[0079] High-speed network: Gigabit Ethernet or Wi-Fi 6 / 5G private network ensures efficient transmission of video data and sensor data.

[0080] Edge computing nodes: Deploy high-performance embedded computers to perform local video preprocessing and preliminary analysis to reduce cloud load and latency.

[0081] Data processing and analysis

[0082] Data processing and analysis unit:

[0083] Cloud servers: Choose mainstream cloud service providers (such as Alibaba Cloud, Tencent Cloud, and Huawei Cloud) to support large-scale data analysis and machine learning model training.

[0084] AI video intelligent analysis platform: Based on deep learning algorithms, it provides a variety of intelligent analysis functions such as face recognition, behavior recognition, and scene adaptation.

[0085] Database: Use relational databases (such as MySQL) and non-relational databases (such as MongoDB) to store structured and unstructured data, and back up important data regularly.

[0086] Intelligent analysis and decision making

[0087] Video intelligent analysis:

[0088] Stranger recognition: Use deep learning algorithms to quickly and accurately identify strangers entering key areas, mark their identity information, and trigger alarms in real time.

[0089] Dynamic analysis of personnel management and control: real-time tracking and recording of personnel movements, identification of abnormal behaviors (such as long stays, frequent entry and exit, gatherings, etc.), and issuance of warnings.

[0090] Area intrusion detection: Set up a virtual fence to immediately trigger an alarm when an unauthorized person enters and record the intruder's path.

[0091] Permission control: Assign corresponding permissions to employees in different positions to ensure that only authorized personnel can enter specific areas, and support online modification and revocation of permissions.

[0092] AI recognition and scene adaptation:

[0093] Dangerous behavior identification: Identify dangerous behaviors in various work scenarios (such as not wearing a safety helmet, operating equipment in violation of regulations, etc.) and issue warnings in real time.

[0094] Abnormal object detection: Detect abnormal objects (such as leftover tools, unknown objects, etc.) in the work area to prevent accidents.

[0095] Environmental change perception: monitor changes in environmental parameters (such as temperature, humidity, gas concentration, etc.) and provide early warning of potential risks.

[0096] Dynamically adjust strategies: Automatically adjust monitoring strategies and alarm thresholds according to different scenarios (such as maintenance, inspection, daily operations, etc.) to ensure the flexibility and adaptability of the system.

[0097] Standardized identification and supervision of operations:

[0098] Standardized operation identification: Capture the operator's actions through video analysis to determine whether they comply with the prescribed process, and immediately issue voice or text reminders if there are any violations.

[0099] Video evidence collection: Video evidence collection of illegal operations will serve as the basis for subsequent training and assessment.

[0100] Operation process audit: record the detailed process of each operation, generate a complete operation log, and establish a strict audit mechanism to ensure that each operation meets safety standards.

[0101] Alarm linkage and multi-terminal synchronization

[0102] Application Service Unit:

[0103] Integrated management platform: provides a unified operation interface, supports real-time monitoring, alarm management, permission configuration and report generation, etc.

[0104] Mobile APP: supports iOS and Android operating systems, providing functions such as real-time viewing of monitoring images, receiving alarm notifications and remote operation of access control.

[0105] Alarm linkage system: Linked with on-site sound and light alarms, SMS notifications, email notifications, etc. to form a comprehensive safety protection system.

[0106] User terminal unit:

[0107] PC: Supports Windows, macOS, and Linux operating systems, is compatible with mainstream browsers, and provides dedicated clients to support more advanced functions.

[0108] Mobile: Suitable for smartphones and tablets, adaptive to screens of different sizes to provide the best display effect.

[0109] Large screen display: real-time display of monitoring images, alarm information and key indicators, supporting touch screen or remote control operation.

[0110] Workflow

[0111] Data collection and preprocessing

[0112] Video acquisition: High-definition cameras collect video data of each key area in real time.

[0113] Environmental data collection: Sensors monitor environmental parameters (such as temperature, pressure, smoke, gas concentration, vibration, etc.) in real time.

[0114] Access control data collection: The access control system records the entry and exit information of personnel and is linked with the video surveillance system.

[0115] Data transfer and preliminary analysis

[0116] Data transmission: Video data and sensor data are transmitted to edge computing nodes through high-speed networks.

[0117] Preliminary analysis: Edge computing nodes perform video preprocessing and preliminary analysis to reduce cloud load and latency.

[0118] Data processing and intelligent analysis

[0119] Cloud storage: Video data and sensor data are uploaded to cloud servers for centralized storage and processing.

[0120] AI analysis: The AI ​​video intelligent analysis platform uses deep learning algorithms to perform intelligent analysis such as face recognition, behavior recognition, and scene adaptation.

[0121] Data storage: All analysis results and raw data are stored in relational and non-relational databases and backed up regularly.

[0122] Risk identification and early warning

[0123] Stranger Recognition: Identify strangers entering key areas and trigger alarms in real time.

[0124] Dynamic analysis of personnel management and control: Track personnel movements, identify abnormal behavior and issue warnings.

[0125] Area intrusion detection: Set up a virtual fence to detect unauthorized entry and trigger an alarm.

[0126] Permission control: Ensure that only authorized personnel can enter specific areas, and support online modification and revocation of permissions.

[0127] Dangerous behavior identification: Identify dangerous behaviors in work scenarios and issue warnings in real time.

[0128] Abnormal object detection: Detect abnormal objects in the working area to prevent accidents.

[0129] Environmental change perception: monitor changes in environmental parameters and provide early warning of potential risks.

[0130] Identification and supervision of standardized operations

[0131] Standardized operation identification: Capture the operator's actions through video analysis to determine whether they comply with the prescribed procedures, and immediately remind if there are any violations.

[0132] Video evidence collection: Video evidence collection of illegal operations will serve as the basis for subsequent training and assessment.

[0133] Operation process audit: record the detailed process of each operation, generate a complete operation log, and establish a strict audit mechanism to ensure that each operation meets safety standards.

[0134] Alarm linkage and multi-terminal synchronization

[0135] Real-time push: Alarm information is synchronized to PC, mobile and large-screen in real time to ensure that all relevant personnel can obtain information in a timely manner.

[0136] Message confirmation: Supports message confirmation function to ensure that the alarm information is received and processed by relevant personnel.

[0137] History records: Save the history records of all alarm information for easy subsequent query and analysis.

[0138] Linkage mechanism: Linked with fire protection system, security system and other safety facilities to form a comprehensive safety protection system.

[0139] Implementation cases and application effects

[0140] Case 1: A large thermal power plant

[0141] Background: The thermal power plant has multiple production workshops and key areas. Traditional manual monitoring and management methods are difficult to cover all areas and pose safety risks.

[0142] Solution: The introduction of this intelligent safety operation supervision system fully covers the key areas within the factory and realizes all-round monitoring and intelligent analysis of the operation process.

[0143] Results: The accident rate dropped significantly, management efficiency was greatly improved, and employees' safety awareness and operational standardization were significantly improved.

[0144] Case 2: A new thermal power plant

[0145] Background: A newly constructed thermal power plant requires a modern safety management system to ensure that high safety standards are met from the outset.

[0146] Solution: Using the latest version of this system, combined with the latest AI technology and IoT devices, a highly intelligent security management system has been built.

[0147] Result: A comprehensive safety management system was established from the early stage of construction, avoiding the cost of later renovations and laying a solid foundation for long-term operation.

[0148] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with the technology to understand the content of the present invention and implement it accordingly, and they cannot be used to limit the protection scope of the present invention. Any equivalent changes or modifications made according to the spirit of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent safety operation supervision system for a thermal power plant, characterized in that: include: Front-end equipment unit: includes high-definition cameras, sensors and access control systems, used to collect video data and environmental data; Network transmission unit: ensures efficient transmission and preliminary processing of video data and sensor data through high-speed networks and edge computing nodes; Data processing and analysis unit: including cloud servers and AI video intelligent analysis platform for data storage, processing and intelligent analysis; Application service unit: provides integrated management platform, mobile APP and alarm linkage system, supporting multi-terminal synchronous monitoring and alarm; User terminal unit: including PC, mobile and large-screen display, which is convenient for managers to view monitoring information and receive alarm notifications in real time.

2. According to claim 1, a thermal power plant intelligent safety operation supervision system is characterized in that: In the front-end device unit: HD cameras: with 4K ultra-high-definition resolution, night vision and wide dynamic range, installed in key areas of thermal power plants, including control rooms, boiler rooms and substations; Sensors: including temperature sensors, pressure sensors, smoke sensors, gas sensors and vibration sensors, which monitor environmental parameters and warn of abnormal conditions; Access control system: Combines card readers, gate machines and linkage devices to achieve personnel entry and exit records and permission management.

3. The intelligent safety operation supervision system for a thermal power plant according to claim 2 is characterized in that: In the network transmission unit: High-speed network: Gigabit Ethernet or Wi-Fi 6 / 5G private network is used to ensure stable and reliable data transmission, and redundant design is set to ensure high availability; Edge computing nodes: Deploy high-performance embedded computers equipped with GPU acceleration modules to perform local video preprocessing and preliminary analysis to reduce cloud load and latency.

4. The intelligent safety operation supervision system for a thermal power plant according to claim 1 is characterized in that: In the data processing and analysis unit: Cloud servers: Choose a cloud service provider that supports large-scale data analysis and machine learning model training; AI video intelligent analysis platform: Based on deep learning algorithms, it provides face recognition, behavior recognition, and scene adaptation intelligent analysis functions; Database: Use relational and non-relational databases to store structured and unstructured data, and back up important data regularly.

5. The intelligent safety operation supervision system for a thermal power plant according to claim 4 is characterized in that: In the application service unit: Comprehensive management platform: provides a unified operation interface, supports real-time monitoring, alarm management, authority configuration and report generation functions; Mobile APP: supports iOS and Android operating systems, providing real-time monitoring screen viewing, alarm notification reception and remote access control functions; Alarm linkage system: Linked with on-site sound and light alarms, SMS notifications, and email notifications to form a comprehensive safety protection system.

6. The intelligent safety operation supervision system for a thermal power plant according to claim 1 is characterized in that: In the user terminal unit: PC: Supports Windows, macOS, and Linux operating systems, and provides dedicated clients to support more advanced functions; Mobile terminal: suitable for smartphones and tablets, adaptive to screens of different sizes to provide the best display effect; Large screen display: real-time display of monitoring images, alarm information and key indicators, supporting touch screen or remote control operation.

7. The intelligent safety operation supervision system for a thermal power plant according to claim 5 is characterized in that: The data processing and analysis unit is provided with a video intelligent analysis module and a scene adaptation module, and the video intelligent analysis module includes: Stranger identification: Use deep learning algorithms to quickly and accurately identify strangers entering key areas, mark their identity information, and trigger alarms in real time; Dynamic analysis of personnel control: real-time tracking and recording of personnel movements, identification of abnormal behaviors, and issuance of warnings. The abnormal behaviors include prolonged stays, frequent entry and exit, and gatherings. Area intrusion detection: Set up a virtual fence to immediately trigger an alarm when an unauthorized person enters and record the intruder's path; Permission control: assign corresponding permissions to employees in different positions to ensure that only authorized personnel can enter specific areas, and support online modification and revocation of permissions; The scene adaptation module includes: Dangerous behavior identification: Identify dangerous behaviors in various work scenarios and issue warnings in real time. The dangerous behaviors include not wearing a safety helmet and operating equipment in violation of regulations. Abnormal object detection: detect abnormal objects in the working area to prevent accidents; Environmental change perception: monitor changes in environmental parameters and provide early warning of potential risks.

8. The intelligent safety operation supervision system for a thermal power plant according to claim 7 is characterized in that: The data processing and analysis unit is also provided with a standardized operation identification and supervision module, and the standardized operation identification and supervision module includes: Standardized operation identification: Capture the operator's actions through video analysis to determine whether they comply with the prescribed process, and immediately issue voice or text reminders if there are any violations; Video evidence collection: Video evidence collection of illegal operations as a basis for subsequent training and assessment; Operation process audit: record the detailed process of each operation, generate a complete operation log, and establish a strict audit mechanism to ensure that each operation meets safety standards.

9. The intelligent safety operation supervision system for a thermal power plant according to claim 8 is characterized in that: A linkage alarm module is provided in the application service unit, and the linkage alarm module includes: Real-time push: Alarm information is synchronized to PC, mobile and large-screen in real time to ensure that all relevant personnel can obtain information in a timely manner; Message confirmation: Support message confirmation function to ensure that the alarm information is received and processed by relevant personnel; Historical records: save the historical records of all alarm information for easy query and analysis afterwards; Linkage mechanism: Linked with fire protection system and security system safety facilities to form a comprehensive safety protection system.