Methods and iot large model systems for smart city falling object emergency supervision

An Internet of Things (IoT) large model system for smart city falling object emergency supervision, comprising a falling object emergency supervision management platform, wherein the falling object emergency supervision management platform includes:

• an obtaining module, configured to obtain, through a falling object emergency supervision sensing network platform, a surveillance video stream including a building facade obtained by a falling object emergency supervision object platform;
• a recognition module, configured to identify at least one potential falling object and at least one risk feature label corresponding to the at least one potential falling object according to the surveillance video stream;
• a risk level determination module, configured to determine at least one falling object risk level of the at least one potential falling object according to the at least one potential falling object and the at least one risk feature label;
• a warning module, configured to:
• determine a regional risk level of each region in the building facade according to the at least one falling object risk level;
• in response to determining that there is a risk area where the regional risk level is greater than a preset risk level,
• send an instruction to the falling object emergency supervision object platform through the falling object emergency supervision sensing network platform to control a lighting device corresponding to the risk area to operate with a warning color;
• and
• determine early warning information according to the at least one risk feature label, send the early warning information to a falling object emergency supervision user platform through a falling object emergency supervision service platform, and/or send the early warning information to the falling object emergency supervision object platform through the falling object emergency supervision sensing network platform to control an early warning device corresponding to the risk area to issue the early warning information.