Methods, systems, and storage medium for smart city fire emergency prevention based on internet of things large model

A system for smart city fire emergency prevention based on an Internet of Things (IoT) large model, comprising:

• an emergency supervision user platform, an emergency supervision service platform, an emergency supervision management platform, an emergency supervision sensing network platform, and an emergency supervision object platform, wherein the emergency supervision management platform is configured to, at each preset period:
• determine a plurality of fire risk coefficients of a plurality of preset regions based on a temperature distribution, a crowd distribution, a region type, and historical danger data of the plurality of preset regions;
• determine a target region based on the plurality of fire risk coefficients and a plurality of risk thresholds;
• and
• generate a monitoring instruction including a sampling point and a sampling amount based on a fire risk coefficient of the target region, and send the monitoring instruction to the emergency supervision object platform through the emergency supervision sensing network platform, to control an unmanned aerial vehicle (UAV) of the emergency supervision object platform to move to the sampling point and acquire monitoring data corresponding to the sampling amount at the sampling point.