Remote control fire extinguishing system and method for offshore wind power booster station
By integrating remote control fire protection systems, the problems of fire detection accuracy and fault isolation in offshore wind power substations have been solved. This has enabled intelligent fire monitoring and automated fire suppression at offshore wind power substations, improving fire response speed and system reliability, and ensuring the safe operation of wind farms.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENGDONG RUDONG OFFSHORE WIND POWER CO LTD
- Filing Date
- 2024-11-14
- Publication Date
- 2026-05-15
AI Technical Summary
Existing intelligent fire protection systems lack multi-area precise protection capabilities in offshore wind power booster stations, cannot achieve reliable fault isolation and protection under different fault conditions, have insufficient fire detection accuracy and speed, and are difficult to automatically adjust and optimize according to fire type and scale.
The system employs a remote-controlled fire protection system, which includes an intelligent monitoring and prevention unit, a multi-zone precision protection unit, an intelligent control center unit, a fire early warning unit, and a remote monitoring and automatic fire extinguishing unit. It integrates intelligent electronic devices, artificial intelligence algorithms, and internet communication to achieve real-time monitoring, anomaly detection, fire early warning, and automatic fire extinguishing functions. It also uses deep learning technology to identify abnormal patterns and automatically adjust fire extinguishing strategies.
It improved the accuracy and response speed of fire detection, enabled precise fire suppression of wind farms, reduced false alarm rates, ensured the safe operation and stability of offshore wind power booster stations, and reduced fire losses.
Smart Images
Figure CN122032011A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the technical field of fire protection systems for offshore wind power booster stations, specifically relating to a remote control fire protection system and method for offshore wind power booster stations. Background Technology
[0002] Traditional fire suppression systems for offshore wind power substations have relied primarily on manual monitoring, a method with several shortcomings. First, manual monitoring struggles to achieve real-time monitoring and comprehensive coverage, easily overlooking potential fire hazards. Second, the response time for firefighting operations corresponding to manual monitoring is slow, failing to take swift action in the early stages of a fire and potentially missing the optimal window for extinguishing it. Furthermore, traditional fire suppression systems lack intelligent and remote control capabilities, making them ill-suited to the complex and ever-changing environment and operational needs of offshore wind farms.
[0003] As an improvement, the application of automated fire protection systems is gaining increasing attention to enhance fire prevention and suppression capabilities at offshore wind power substations. Automated fire protection systems integrate various advanced technologies and equipment, such as intelligent electronic devices, artificial intelligence algorithms, remote monitoring, and communication technologies, to achieve real-time monitoring, anomaly detection, fire early warning, and automatic fire suppression of the wind farm's power system. However, existing intelligent fire protection systems may have some problems and shortcomings when used in offshore wind power substations due to their unique environment and regional limitations. Currently, intelligent fire protection systems lack multi-area precise protection capabilities and cannot achieve reliable fault isolation and protection measures under different fault conditions. Especially in the complex and ever-changing marine environment, the accuracy and speed of fire detection need improvement. There are also limitations in the selection of fire suppression strategies and devices, as they cannot be automatically adjusted and optimized according to the type and scale of the fire. Summary of the Invention
[0004] This invention provides a remote-controlled fire protection system and method for offshore wind power substations, aiming to solve the problem that current intelligent fire protection systems cannot achieve reliable fault isolation and protection under different fault conditions. Especially in the complex and ever-changing environment of offshore wind power substations, the accuracy and speed of fire detection need improvement, and it is difficult to automatically adjust and optimize according to the type and scale of the fire.
[0005] To achieve the above objectives, the present invention adopts the following technical solution: This invention provides a remote-controlled fire protection system for offshore wind power substations. The remote-controlled fire protection system includes an intelligent monitoring and prevention unit, a multi-zone precision protection unit, an intelligent control center unit, a fire early warning unit, and a remote monitoring and automatic fire extinguishing unit; wherein: The intelligent monitoring and prevention unit is used to monitor electrical variables of the power system in real time through intelligent electronic devices, detect abnormal states, and generate detection and monitoring data; The multi-area precision protection unit constructs a multi-area precision protection system that includes substations, DC lines, wind farms, and power collection systems, enabling fault isolation under different recoverable faults. The intelligent control center unit includes a main control center and a secondary control center, so that the secondary control center can be activated and control the wind farm when the main control center fails. The fire early warning unit is used to analyze detection and monitoring data, predict fire risks, and use deep learning technology to learn and identify abnormal patterns from detection and monitoring data. It also performs safety assessments of wind farm grid connection nodes based on power flow calculations. The remote monitoring and automatic fire suppression unit is used to conduct real-time remote monitoring through a remote vision system and Internet communication, and automatically adjust the fire suppression strategy according to the type and scale of the fire, and activate the corresponding automatic fire suppression equipment to carry out fire suppression operations.
[0006] In some implementations, the intelligent monitoring and prevention unit also includes data-driven predictive maintenance capabilities that predict maintenance times by analyzing sensor data to reduce downtime.
[0007] Furthermore, the intelligent monitoring and prevention module also has wind farm operation optimization functions, which control the positioning and operation of wind power equipment by analyzing real-time data from wind power equipment and weather sensors at offshore wind power booster stations.
[0008] In some implementations, the multi-zone precision protection unit also includes valve-controlled overcurrent protection based on individual arm blocking and fast recovery technology to identify grounding faults within the station.
[0009] In some implementations, the fire warning unit uses convolutional neural networks and autoencoders to process and learn detection and monitoring data, identify abnormal patterns, and thus obtain the risk level of the fire warning.
[0010] In some implementations, the remote monitoring and automatic fire suppression unit also has an automated inspection function using drones; the drones are used to monitor the status data of pre-set designated equipment at the offshore wind power booster station and transmit the status data to the fire early warning unit in real time.
[0011] In some implementations, the remote monitoring and automatic fire suppression unit also includes an automatic alarm module, which transmits the detected fire signal to the intelligent control center unit via a data bus and can activate the audible and visual alarm device when a fire occurs.
[0012] In some implementations, the remote monitoring and automatic fire suppression unit includes a high-pressure water mist fire suppression device, and the remote monitoring and automatic fire suppression unit can control the start and stop of the high-pressure water mist fire suppression device.
[0013] In some implementations, the remote monitoring and automatic fire suppression unit supports communication with remote devices or mobile terminals, enabling operators to remotely control and adjust the operating parameters of the fire protection system.
[0014] The present invention also provides a remote control fire protection method for a remote control fire protection system for offshore wind power booster stations, comprising the following steps: The electrical variables of the power system are monitored in real time through intelligent electronic devices to detect abnormal states and generate detection and monitoring data. A multi-region precision protection system is constructed using multi-region precision protection units, including substations, DC lines, wind farms, and power collection systems, to achieve fault isolation under different recoverable faults; When the main control center fails, the secondary control center of the intelligent control center unit activates and controls the wind farm. Fire early warning units are used to analyze detection and monitoring data, deep learning technology is used to learn and identify abnormal patterns, and power flow calculation is used to realize the safety assessment of wind farm grid connection nodes and predict fire risks. Real-time remote monitoring is achieved through remote vision systems and internet communication with remote monitoring and automatic fire suppression units. Fire suppression strategies are automatically adjusted according to the type and scale of the fire, and corresponding automatic fire suppression equipment is activated to carry out fire suppression operations.
[0015] Compared with the prior art, the remote control fire protection system and method for offshore wind power booster stations of the present invention have the following beneficial effects: This invention discloses a remote control fire protection system for offshore wind power booster stations. The system comprises an intelligent monitoring and prevention unit, a multi-zone precision protection unit, an intelligent control center unit, a fire early warning unit, and a remote monitoring and automatic fire extinguishing unit. Specifically: the intelligent monitoring and prevention unit monitors electrical variables of the power system in real time via intelligent electronic devices and detects abnormal states, generating detection and monitoring data; the multi-zone precision protection unit constructs a multi-zone precision protection system encompassing the booster station, DC lines, wind farm, and power collection system, achieving fault isolation under different recoverable fault conditions; the intelligent control center unit includes a main control center and a secondary control center, enabling the secondary control center to activate and control the wind farm in the event of a failure of the main control center; the fire early warning unit analyzes the detection and monitoring data, predicts fire risks, uses deep learning technology to learn and identify abnormal patterns from the detection and monitoring data, and performs safety assessments of the wind farm grid connection nodes based on power flow calculations; the remote monitoring and automatic fire extinguishing unit performs real-time remote monitoring via a remote vision system and internet communication, automatically adjusting fire extinguishing strategies and activating corresponding automatic fire extinguishing equipment based on fire type and scale. Based on the above, this invention integrates modern information technology, the Internet of Things, and artificial intelligence to achieve effective monitoring, rapid response, and precise fire suppression of fire risks in wind farms. By using intelligent electronic devices to monitor the power system's operational status in real time, combined with a multi-area precision protection system, it significantly enhances fire prevention capabilities. This invention employs data-driven predictive maintenance, wind farm operation optimization, data-based analysis, and deep learning to achieve early identification and precise location of fire hazards. By integrating multiple sensors and fuzzy logic computation, it improves the accuracy of fire detection and reduces the false alarm rate. Once a fire occurs, the system automatically activates an alarm and rapidly activates automatic fire suppression units via remote control. Simultaneously, the system supports remote monitoring and operation, ensuring that command personnel can monitor the progress of fire suppression in real time and adjust fire suppression strategies promptly. This invention significantly improves the safe operation level of wind farms and provides technical support for the stable operation of offshore wind power booster stations. Attached Figure Description
[0016] The accompanying drawings are provided to further understand the invention and constitute a part of this invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.
[0017] Figure 1 This is a schematic diagram of the overall system architecture of a remote control fire protection system and method for offshore wind power booster stations according to the present invention. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.
[0019] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.
[0020] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.
[0021] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper," "lower," "horizontal," or "inner" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of the invention is in use, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Furthermore, terms such as "first" and "second" are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.
[0022] In the description of the embodiments of the present invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention according to the specific circumstances.
[0023] How can we effectively reduce fire risks and ensure the safe operation of offshore wind power booster stations? How can we improve the operational efficiency of offshore wind power booster stations, reduce maintenance costs, and support the development of the offshore wind power industry?
[0024] like Figure 1As shown, this invention discloses a remote control fire protection system for offshore wind power booster stations. The remote control fire protection system includes an intelligent monitoring and prevention unit, a multi-zone precision protection unit, an intelligent control center unit, a fire early warning unit, and a remote monitoring and automatic fire extinguishing unit; wherein: The intelligent monitoring and prevention unit is used to monitor electrical variables of the power system in real time through intelligent electronic devices, detect abnormal states, and generate detection and monitoring data; The multi-area precision protection unit constructs a multi-area precision protection system that includes substations, DC lines, wind farms, and power collection systems, enabling fault isolation under different recoverable faults. The intelligent control center unit includes a main control center and a secondary control center, so that the secondary control center can be activated and control the wind farm when the main control center fails. The fire early warning unit is used to analyze detection and monitoring data, predict fire risks, and use deep learning technology to learn and identify abnormal patterns from detection and monitoring data. It also performs safety assessments of wind farm grid connection nodes based on power flow calculations. The remote monitoring and automatic fire suppression unit is used to conduct real-time remote monitoring through a remote vision system and Internet communication, and automatically adjust the fire suppression strategy according to the type and scale of the fire, and activate the corresponding automatic fire suppression equipment to carry out fire suppression operations.
[0025] The remote-controlled fire suppression system of this invention is suitable for the special environment of offshore wind power substations. Through real-time monitoring and early warning, it can promptly detect and address potential fire risks, reducing fire losses. The automatic fire extinguishing function can respond rapidly in the event of a fire, effectively reducing fire risks and ensuring the safe operation of the wind farm. The system enables remote control of fire suppression equipment at offshore wind power substations. In the event of a fire, the system allows for operation of fire suppression equipment and adjustment of fire suppression strategies via the remote control system, providing support for subsequent rescue efforts.
[0026] The intelligent monitoring and prevention unit of this invention also includes a data-driven predictive maintenance function, which predicts maintenance time by analyzing sensor data to reduce downtime. The intelligent monitoring and prevention module also features wind farm operation optimization, controlling the positioning and operation of wind turbines by analyzing real-time data from wind turbines and weather sensors. Predictive maintenance can reduce unexpected equipment downtime, improve equipment reliability, and lower the potential fire risk caused by equipment failure. Optimizing wind farm operation can improve power generation efficiency, and adjusting the operation of wind turbines can reduce fire risk.
[0027] Furthermore, the multi-zone precision protection unit of the present invention also includes valve-controlled overcurrent protection based on single-arm blocking and fast recovery technology to identify grounding faults within the station. The present invention improves the system's fault isolation capability, enabling rapid disconnection of the fault area in the event of a fault, preventing fault propagation, and enhancing the system's reliability and stability.
[0028] In this invention, the fire early warning unit uses a convolutional neural network and an autoencoder to process and learn from detection and monitoring data, identify abnormal patterns, and thus obtain the risk level of the fire warning. This invention improves the accuracy and timeliness of fire early warning, enabling earlier detection of potential fire risks and reducing fire losses caused by false alarms or missed alarms.
[0029] In some implementations, the remote monitoring and automatic fire suppression unit of the present invention also has an automated drone inspection function; the drone is used to monitor the status data of preset designated equipment in the offshore wind power booster station and transmit the status data to the fire early warning unit in real time. Drone inspection can cover a wider area, improving the efficiency and accuracy of inspection. Real-time data transmission enables the fire early warning unit to obtain equipment status information more quickly and issue more accurate warnings.
[0030] Preferably, the remote monitoring and automatic fire extinguishing unit of the present invention further includes an automatic alarm module. The automatic alarm module transmits the detected fire signal to the intelligent control center unit via a data bus and can activate audible and visual alarm devices in the event of a fire. The automatic alarm function can quickly notify relevant personnel when a fire occurs, improving emergency response speed. The remote monitoring and automatic fire extinguishing unit of the present invention supports communication with remote devices or mobile terminals, enabling operators to remotely control and adjust the operating parameters of the fire protection system. The remote communication function allows operators to monitor and control the fire protection system anytime, anywhere, improving the system's flexibility and operability, and facilitating remote fault diagnosis and maintenance.
[0031] The remote monitoring and automatic fire extinguishing unit of this invention includes a high-pressure fine water mist fire extinguishing device, which can control the start and stop of the device. The high-pressure fine water mist fire extinguishing device has a highly efficient and environmentally friendly fire extinguishing effect. Remote control allows for rapid activation of the device, effectively controlling the fire. It is suitable for the special environment of offshore wind power booster stations, thus improving the system's applicability.
[0032] This invention also provides a remote-controlled fire protection method for offshore wind power substations. This method involves real-time monitoring of electrical variables in the power system, constructing a multi-zone precision protection system, controlling the wind farm through an intelligent control center, using fire early warning units to predict fire risks, and conducting real-time remote monitoring and automatic fire suppression through remote monitoring and automatic fire extinguishing units. Through automation and intelligent technologies, the response speed and accuracy of the fire protection system are improved, reducing fire losses. By comprehensively controlling the fire protection process remotely, the fire risks at offshore wind power substations can be effectively addressed, enhancing the operational stability of the substations.
[0033] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Those skilled in the art can readily implement the present invention according to the description and above. However, any modifications, alterations, or variations made by those skilled in the art without departing from the scope of the present invention, based on the disclosed technical content, are equivalent embodiments of the present invention. Furthermore, any equivalent changes, alterations, or variations made to the above embodiments based on the essential technology of the present invention are still within the protection scope of the present invention.
Claims
1. A remote control fire protection system for offshore wind power booster stations, characterized in that, The remote-controlled fire protection system includes an intelligent monitoring and prevention unit, a multi-zone precision protection unit, an intelligent control center unit, a fire early warning unit, and a remote monitoring and automatic fire extinguishing unit; wherein: The intelligent monitoring and prevention unit is used to monitor electrical variables of the power system in real time through intelligent electronic devices, detect abnormal states, and generate detection and monitoring data. The multi-area precision protection unit constructs a multi-area precision protection system including a booster station, DC line, wind farm, and power collection system, realizing fault isolation under different recoverable faults; The intelligent control center unit includes a main control center and a secondary control center, so that the secondary control center can be activated and control the wind farm when the main control center fails. The fire early warning unit is used to analyze detection and monitoring data, predict fire risks, use deep learning technology to learn and identify abnormal patterns from detection and monitoring data, and realize the safety assessment of wind farm grid connection nodes based on power flow calculation. The remote monitoring and automatic fire extinguishing unit is used to conduct real-time remote monitoring through a remote vision system and Internet communication, and to automatically adjust the fire extinguishing strategy according to the fire type and scale, and activate the corresponding automatic fire extinguishing equipment to carry out fire extinguishing operations.
2. The remote control fire protection system for offshore wind power booster stations according to claim 1, characterized in that, The intelligent monitoring and prevention unit also includes a data-driven predictive maintenance function, which predicts maintenance time by analyzing sensor data to reduce downtime.
3. The remote control fire protection system for offshore wind power booster stations according to claim 2, characterized in that, The intelligent monitoring and prevention module also has a wind farm operation optimization function, which controls the positioning and operation of wind power equipment by analyzing real-time data from wind power equipment and weather sensors at offshore wind power booster stations.
4. The remote control fire protection system for offshore wind power booster stations according to claim 1, characterized in that, The multi-area precision protection unit also includes valve-controlled overcurrent protection based on single-arm blocking and fast recovery technology to identify grounding faults within the station.
5. The remote control fire protection system for offshore wind power booster stations according to claim 1, characterized in that, The fire early warning unit uses convolutional neural networks and autoencoders to process and learn detection and monitoring data, identify abnormal patterns, and thus obtain the risk level of the fire early warning.
6. The remote control fire protection system for offshore wind power booster stations according to claim 1, characterized in that, The remote monitoring and automatic fire extinguishing unit also has an automated inspection function using drones; the drones are used to monitor the status data of pre-set designated equipment at the offshore wind power booster station and transmit the status data to the fire early warning unit in real time.
7. The remote control fire protection system for offshore wind power booster stations according to claim 1, characterized in that, The remote monitoring and automatic fire extinguishing unit also includes an automatic alarm module. The automatic alarm module transmits the detected fire signal to the intelligent control center unit through the data bus and can activate the audible and visual alarm device when a fire occurs.
8. The remote control fire protection system for offshore wind power booster stations according to claim 1, characterized in that, The remote monitoring and automatic fire extinguishing unit includes a high-pressure fine water mist fire extinguishing device, and the remote monitoring and automatic fire extinguishing unit can control the start and stop of the high-pressure fine water mist fire extinguishing device.
9. The remote control fire protection system for offshore wind power booster stations according to claim 1, characterized in that, The remote monitoring and automatic fire extinguishing unit supports communication with remote devices or mobile terminals, enabling operators to remotely control and adjust the operating parameters of the fire protection system.
10. A remote control firefighting method for a remote control firefighting system for an offshore wind power booster station as described in any one of claims 1-9, characterized in that, Includes the following steps: The electrical variables of the power system are monitored in real time through intelligent electronic devices to detect abnormal states and generate detection and monitoring data. A multi-region precision protection system is constructed using multi-region precision protection units, including substations, DC lines, wind farms, and power collection systems, to achieve fault isolation under different recoverable faults; When the main control center fails, the secondary control center of the intelligent control center unit activates and controls the wind farm. Fire early warning units are used to analyze detection and monitoring data, deep learning technology is used to learn and identify abnormal patterns, and power flow calculation is used to realize the safety assessment of wind farm grid connection nodes and predict fire risks. Real-time remote monitoring is achieved through remote vision systems and internet communication with remote monitoring and automatic fire suppression units. Fire suppression strategies are automatically adjusted according to the type and scale of the fire, and corresponding automatic fire suppression equipment is activated to carry out fire suppression operations.