Smart City IoT Large Model for Emergency Data Coordination
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Solution Overview
Problem
Existing smart city emergency management systems struggle to integrate and correlate diverse emergency management and control data effectively, leading to inefficiencies in operational efficiency and response speed.
Innovation Solution
An Internet of Things large model system comprising an emergency supervision user platform, service platform, management platform, sensor network platform, and object platform, which includes a master data center with a memory and data processing model library, enables data acquisition, processing, and coordinated control of emergency inspection vehicles and traffic signals to optimize emergency response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If emergency management and control data from different sources are processed separately and independently, then data processing is simpler, but correlation between different types of emergency management and control data cannot be discovered
Solution Approach 1:
The patent merges multiple data sources including video data, audio data, sensor data, and communication data into a unified emergency management and control system. The system integrates these different data types to discover correlations that would be missed in separate processing, while managing complexity through centralized coordination and standardized data interfaces.
2Productivity
If traditional emergency management systems are used, then system structure is simpler, but operational efficiency and response speed are lower
Solution Approach 1:
The system is segmented into multiple functional platforms including emergency supervision user platform, service platform, management platform, sensor network platform, and object platform. Each platform handles specific tasks independently, improving operational efficiency through specialized processing while the modular structure manages overall system complexity.
Solution Approach 2:
The emergency supervision management platform acts as an intermediary that coordinates between various data sources, processing systems, and response mechanisms. This mediator integrates information from multiple platforms and enables efficient decision-making without requiring complete system redesign.
3Reliability
If emergency inspection vehicles patrol all areas, then inspection coverage is more complete, but travel time and response speed increase
Solution Approach 1:
The system performs preliminary actions by analyzing emergency management and control data to identify potential risk areas and generate predicted emergency locations before actual emergencies occur. Emergency inspection vehicles are pre-positioned or pre-routed to these high-probability areas, ensuring complete coverage of critical zones while minimizing unnecessary travel time.
Solution Approach 2:
The inspection routes of emergency vehicles are made dynamic rather than static. The system continuously adjusts vehicle trajectories based on real-time data analysis, predicted emergency locations, and actual emergency occurrences, allowing vehicles to adapt their patrol patterns to maximize coverage efficiency and minimize response time.
Data Source
AI summary
The present disclosure provides a method and an Internet of Things large model system for smart city integrated emergency management and control. The method includes: acquiring emergency management and control data; retrieving upload times and data types of the plurality of emergency management and control data and geographic regions to which the plurality of emergency management and control data belongs, and generating data sets to be processed; marking an emergency management and control range and; generating a first traveling route based on an emergency management and control street within the emergency management and control range, and a size of a crowd corresponding to the emergency management and control street, and sending the first traveling route to emergency inspection vehicles; and updating signal light phases in conjunction with travel needs of the emergency inspection vehicles and a traffic flow on the emergency management and control street.