To achieve the main development goal of "further consolidating the national security barrier", "accelerate the innovation of digital and intelligent technologies such as artificial intelligence", fully implement the "Artificial Intelligence +" initiative, strengthen the integration of artificial intelligence with social governance, seize the commanding heights of artificial intelligence industrial application, and comprehensively empower all industries. Enhance the capacity for disaster prevention, mitigation and relief as well as the handling and support of major public emergencies, and strengthen emergency command and work safety.
In today's society, the complexity and uncertainty of emergencies are increasing day by day, which puts forward higher requirements for the capacity and efficiency of emergency management. As an important driving force of the new round of technological revolution and industrial transformation, artificial intelligence is gradually penetrating into all fields of emergency management, providing new opportunities and means for improving the level of emergency management.
All aspects of safety and emergency response can be handled by AI technology, and all safety and emergency response issues can be solved, assisted in solving, or partially solved by AI technology. Typical AI safety emergency application scenarios include the following types.
Risk monitoring and early warning
Artificial intelligence, by integrating multi-source data such as satellite remote sensing, meteorological radar, and sensor networks, can monitor in real time the risks and hidden dangers of natural disasters (such as typhoons, floods, and earthquakes) and production safety accidents. For instance, the artificial intelligence visual analysis and alarm technology for urban waterlogging and water accumulation developed by Chongqing can monitor the water accumulation situation in real time based on video surveillance resources and push alarm information. The Emergency Management Bureau of Liling City, Hunan Province, has established a safety production risk early warning system for fireworks and firecrackers by using artificial intelligence, to conduct real-time supervision over behaviors such as overstaffing and illegal operations in workshops.
Decision support for emergencies
Artificial intelligence systems provide scientific response plans for decision-makers through the analysis of historical data and real-time information. In disasters such as fires and floods, artificial intelligence can simulate the trend of fire spread, the direction of flood flow, etc., and generate the optimal rescue routes and strategies. The safety production risk monitoring and early warning system developed by the Emergency Management Department of Hubei Province analyzes and mines potential risk patterns through big data, providing decision-making basis for accident prevention and handling.
Assistance in emergency rescue operations
At disaster sites, artificial intelligence technology drones, robots and other equipment can enter dangerous areas to conduct thermal imaging detection, search and rescue trapped people, and transmit on-site images in real time, providing precise information for rescue operations. For instance, during the rescue operation of the mountain flood and debris flow in Kangding, Sichuan Province in 2024, the "Wenchuan" intelligent remote-controlled unmanned excavator remotely eliminated the hidden danger of gas cylinders buried by the debris flow.
Optimization of emergency resource allocation
Artificial intelligence can drive emergency management platforms to break down the barriers of resource information among departments and regions, and achieve real-time sharing. Through the modeling and analysis of historical emergency rescue cases, an emergency material resource demand model is established to predict the quantity and types of materials required for different disasters, rationally allocate human, material and financial resources, and improve the overall rescue efficiency.
Artificial intelligence is an important force in promoting the modernization of emergency management, but its application needs to be advanced in a coordinated manner in multiple aspects such as technology, system and ethics. Through continuous exploration and innovation, artificial intelligence will provide strong support for building a more intelligent, efficient and safe emergency management system, better safeguarding the lives and property of the people and social stability.
