en.Wedoany.com Reported - On March 24th, the Intelligent Mountain Fire Prevention and Control System was launched at the Fujian Ningde Nuclear Power Plant in China, marking a new stage of digital transformation for Ningde Nuclear Power in the field of transmission line wildfire prevention and control, characterized by data-driven operations, intelligent perception, and closed-loop response.
This system utilizes next-generation information technology to construct an intelligent "firewall" that covers the entire area with precision and efficiency. It achieves integrated multi-level "remote, medium, and close-range; high, medium, and low-altitude" monitoring, early warning, and command for mountain and forest fires, comprehensively enhancing the resilience and safety protection capabilities of power infrastructure.
The monitoring and early warning system relies on multi-satellite coordinated networking technology for its "remote" capabilities, enabling all-weather, high-frequency dynamic capture of fire hotspots. Through the collaborative operation of 18 in-orbit satellites, a full-area scan is completed every 10 minutes, establishing a high spatiotemporal resolution wildfire perception network, with key coverage of the 500kV and 220kV core transmission line corridors of Ningde Nuclear Power. The "medium-range" capabilities rely on unmanned aerial vehicles (UAVs) conducting regular inspections along pre-set routes. The "close-range" capabilities rely on monitoring from high vantage points, utilizing an AI-driven intelligent fire identification engine to analyze in real-time the location of fire hotspots, their spread trends, and heat source intensity. This aims to block the risk of equipment tripping and line outages caused by wildfires at the source, effectively solidifying the digital defense line for the safe operation of the power system.
At the perception layer, the system deeply integrates high-definition dual-spectrum imaging technology with edge AI deep learning algorithms. Equipped with intelligent monitoring terminals possessing extremely low-light imaging capabilities, it can achieve stable identification and precise positioning in complex environments such as nighttime, haze, and low illumination. The fire hotspot detection accuracy rate remains stable above 99%, significantly improving risk detection capabilities in complex environments and promoting the transition from traditional manual inspections to automated and intelligent monitoring.
At the management level, the system has built a full-factor digital twin information display platform. It can dynamically present key data such as fire occurrence time, precise latitude and longitude, associated tower numbers, surrounding vegetation distribution, and historical fire incident trajectories. It also automatically generates structured monitoring and analysis reports, providing traceable and quantifiable data support for operation and maintenance decision-making. Through the intelligent alarm engine and API-level emergency linkage mechanism, warning information can be pushed to frontline operation and maintenance terminals within seconds. It seamlessly integrates with GIS platforms, dispatch systems, and emergency command systems, forming a full closed-loop digital management process of "comprehensive perception—intelligent warning—precise task assignment—disposal feedback—effectiveness evaluation." This achieves a model upgrade from "passive response" to "active prevention and control."
The official operation of this mountain fire satellite monitoring system is a significant milestone for Ningde Nuclear Power in advancing the modernization of safety governance for energy infrastructure, guided by digital transformation and driven by technological innovation. The system not only significantly enhances the response speed and handling efficiency for wildfire prevention and control along transmission lines but also establishes a replicable and scalable intelligent disaster prevention technology paradigm for the power industry. It provides solid and reliable technological support for ensuring the safe and stable operation of generating units and maintaining the security of the regional energy supply chain.
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