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

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

Forest fires are characterized by their sudden onset, extensive destructiveness, 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 substantial harm and losses on the Party and the people.

Smart Forest Fire Prevention Online Monitoring and Early Warning System

Guilin SPEPC leverages IoT technology, sensors, edge computing, AI‑driven analytics, and other advanced technologies to build a smart forest fire‑prevention online monitoring and early‑warning system that offers broad coverage, high timeliness, and exceptional accuracy. This system enables real-time monitoring of fire‑risk factors, prompt detection of fire incidents, precise localization, efficient response, and meticulous control of ignition sources. It provides round‑the‑clock, all‑directional, high‑precision forest fire monitoring across the designated area, promptly issuing alerts to relevant entities such as forest management centers, on‑site defense stations, and command centers, thereby supporting decision‑making for emergency forest fire response and ensuring adherence to the fundamental principle of extinguishing fires “early, small, and completely.”

1. Multi-dimensional online monitoring of forest fire risk factors

The forest fire‑risk factor integrated monitoring station is an all‑in‑one, multi‑sensor detection system that provides real-time monitoring of key fire‑risk variables such as temperature, humidity, wind speed, and wind direction. It delivers multidimensional data to support early fire warnings and strengthens forest fire prevention efforts.

2. Summit Station/Watchtower Monitoring Station

The high-point station and the lookout tower monitoring station leverage their elevated vantage points to conduct wide-area fire detection and early warning in forested areas, complementing the functions of the integrated monitoring stations.

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, providing a scientific basis and decision‑making support for forest fire prevention. Drone‑based inspections not only enhance inspection efficiency and coverage but also significantly reduce personnel risks and operational costs.

• UAV Automated Takeoff and Landing Inspection Platform: Build an automated takeoff and landing inspection platform to enable unmanned aerial vehicle (UAV) automation and efficient inspection.

• High-precision early-stage fire and smoke detection: Leveraging advanced image-processing techniques to achieve accurate identification of incipient fires and smoke, thereby enhancing the timeliness of fire‑prevention alerts.

• Fire‑spot localization: By integrating geographic information system (GIS) technology, this capability enables rapid and precise identification of fire locations, providing accurate data to support firefighting and rescue operations.

4. Satellite Remote Sensing System

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

• Fire Monitoring: Regularly acquire satellite remote-sensing data, including surface temperature, smoke, flames, and other relevant features, to conduct all‑day, comprehensive fire monitoring in forested and grassland areas.

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

• Early Warning Issuance: The analyzed fire‑related information—including the time, location, and intensity of the fire—shall be promptly disseminated through the early warning platform.

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The Guilin SPEPC Smart Forest Fire Prevention Online Monitoring and Early Warning System can significantly enhance the efficiency and accuracy of forest fire prevention efforts. By conducting real-time monitoring and intelligent analysis, it swiftly detects and issues early warnings for fire incidents, effectively reducing response times, providing a scientific basis for fire control, and offering technical support to safeguard forest resources.