Guilin SPEPC Smart Forest Fire Prevention Online Monitoring and Early Warning System | Building a Fire Risk Monitoring Defense Line

On November 17, 2024, a sudden forest fire broke out in Murong Township, Yajiang County, Garzê Prefecture, Sichuan Province. By the morning of November 18, firefighting helicopters had arrived on site and begun operations; the open flames have now been largely extinguished, and no casualties have been reported.

Forest fires are characterized by their sudden onset, extensive destructive power, and the difficulties involved in extinguishing them and providing rescue assistance. At the same time, such fires severely damage forest resources and the ecological environment, inflicting enormous harm and losses on the Party and the people.

Smart Forest Fire Online Monitoring and Early Warning System

Guilin SPEPC leverages IoT technology, sensors, edge computing, AI-powered analytics, and other technologies to build a wide-coverage, timely, and highly accurate smart forest fire prevention online monitoring and early warning system. This system enables real-time monitoring of fire-risk factors, prompt detection of fire incidents, precise localization, efficient response, and targeted control of ignition sources. It provides round-the-clock, all-round, and precise forest-fire monitoring across the monitored area, promptly issuing early warnings to relevant units such as forest management centers, stationed defense centers, and command centers, thereby providing decision-making support for emergency response to forest fires and ensuring adherence to the fundamental principle of “extinguishing fires when they are small, early, and contained.”

1. Multi-dimensional Online Monitoring of Forest Fire Risk Factors

The Comprehensive Forest Fire Risk Factor Monitoring Station is an integrated, multi-sensor perception and detection system that provides real-time monitoring of forest fire risk factors such as temperature, humidity, wind speed, and wind direction. It delivers multidimensional data to support forest fire early warning and enhances forest fire prevention efforts.

2. High-Point Station/Observation Deck Monitoring Station

The high-point station/observation tower monitoring station leverages its elevated vantage point to conduct wide-area fire monitoring and early warning in forested areas, thereby complementing the functions of the integrated monitoring station.

3. Unmanned Aerial Vehicle Monitoring System

By leveraging drone technology equipped with high-definition cameras, infrared thermal imagers, and other monitoring devices, efficient, real-time aerial surveillance can be conducted to promptly detect and issue early warnings of potential fire risks, thereby providing a scientific basis and decision-support for forest fire prevention efforts. Drone-based patrols not only enhance inspection efficiency and coverage but also significantly reduce personnel risks and operational costs.

• Unmanned Aerial Vehicle (UAV) Automated Takeoff and Landing Inspection Platform: Develop an automated takeoff and landing inspection platform to enable automated UAV management and efficient inspection operations.

• High-precision early firework detection: Leveraging advanced image-processing technologies to accurately identify incipient fireworks, thereby enhancing the timeliness of fire alerts.

• Fire-Point Localization: By integrating geographic information system (GIS) technology, this capability enables rapid and accurate localization of fire points, providing precise information to support firefighting and rescue operations.

4. Satellite Remote Sensing System

The integrated application of multi-satellite and multi-source remote sensing data enhances capabilities in hotspot detection, fire monitoring, and assessment of affected areas, thereby ensuring early detection and prompt response to wildfires.

• Fire Monitoring: Regularly acquire satellite remote-sensing data, including surface temperature, smoke, and flame characteristics, to conduct all-weather, comprehensive fire monitoring in forested and grassland areas.

• Fire situation analysis: By integrating ground-based monitoring data from comprehensive monitoring stations, a fire identification model is developed to classify and detect different types of fires, thereby enhancing the accuracy of early warnings. Meanwhile, leveraging technologies such as geographic information systems (GIS), the fire location is precisely determined and fire lines are mapped, providing decision-support for emergency response.

• Early Warning Issuance: The analyzed fire-related information, including the time and location of the fire as well as its intensity, shall be promptly disseminated via the early warning platform.

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The online monitoring and early warning system for forest fire prevention developed by Guilin SPEPC can significantly improve the efficiency and accuracy of forest fire prevention work. Through real-time monitoring and intelligent analysis, it can quickly detect and issue early warnings for fire incidents, effectively shorten the response time, provide a scientific basis for fire prevention and control, and offer technical support for safeguarding the security of forest resources.