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The utility model provides a kind of battery disaster prevention system, it mainly includes: at least one battery core module is had in the inside of a battery box one box body, the upper side of at least one battery core module has at least one sensor;Upper cover is covered in the upper side of box body, the inside of upper cover has at least one long pipe, at least one long pipe has at least one first connector in one end, and at least one long pipe has multiple injection ports, multiple injection ports are correspondingly set in the upper side of at least one battery core module;Fire extinguishing control unit is electrically connected at least one sensor, and the at least one second connector of fire extinguishing control unit is correspondingly connected at least one first connector, by this, it can be sensed high temperature or smoke by at least one sensor, and automatically open a valve, let fire extinguishing agent enter battery box inside, then multiple injection ports are sprayed downward to carry out fire extinguishing.

This invention relates to a dynamic optimization decision-making model for the mining sequence of polymetallic symbiotic ore bodies, comprising an edge layer, a cloud platform, and a control terminal. The edge layer, cloud platform, and control terminal interact through dedicated interfaces, achieving a closed-loop process from data acquisition, processing, decision-making, to execution. The edge layer acquires ore body data in real time via a multi-source sensor network, preprocesses it through an edge computing terminal, and then uploads it to the cloud platform. The cloud platform uses a dynamic geological model engine to construct a real-time 3D ore body model and generates a Pareto optimal mining scheme that comprehensively considers economic, environmental, and safety factors through a multi-objective optimization engine. The control terminal uses a digital twin console to visualize the scheme and allow for manual intervention, while the equipment control system automatically executes mining commands. The model supports hourly dynamic updates, significantly improving resource recovery rate and decision-making efficiency, reducing environmental costs and mining risks, and achieving efficient, intelligent, and green mining of polymetallic symbiotic ore bodies.