IoT Emergency Supervision Hierarchy for Risk-Based Data Prioritization

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Solution Overview

Problem

The challenge of efficiently prioritizing and processing large amounts of emergency supervision data from various sources in smart city management to enhance response speed and accuracy in emergency scenarios is unresolved.

Innovation Solution

A system and method utilizing an IoT large model to integrate an emergency supervision user platform, service platform, management platform, and object platform, which includes determining weighting factors for emergency supervision sub-data based on area information, adjusting processing levels, and controlling patrol devices for efficient data handling and patrol routes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If emergency supervision data from multiple sources is collected comprehensively, then the completeness of emergency information is improved, but the complexity of data processing and the time required for analysis increase

Engineering Contradiction:
Improvecompleteness of emergency informationVSAvoidcomplexity of data processing
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments emergency supervision data into multiple categories (environmental, production, life safety, etc.) and processes them at different levels. The hierarchical management platform structure divides data processing into multiple layers, where each level handles specific types of data with different processing depths, thereby reducing overall processing complexity while maintaining comprehensive information coverage.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies different processing levels to different types of emergency supervision data based on their importance and characteristics. Critical data requiring immediate response receives higher processing priority and more intensive analysis, while less critical data undergoes standard processing, thereby optimizing resource allocation and reducing unnecessary processing complexity.

Inventive Principle:
Principle #3Local quality

2Ease of operation

If all emergency supervision data is processed with the same processing level, then the processing simplicity is maintained, but the response speed for urgent and important emergencies deteriorates

Engineering Contradiction:
Improveprocessing simplicityVSAvoidresponse speed for urgent emergencies
Core Design Contradiction:
Ease of operationVSSpeed

Solution Approach 1:

The patent implements dynamic processing levels that can be adjusted based on the urgency and importance of emergency events. The system automatically determines processing levels for different types of emergencies, allowing rapid response for critical events while maintaining simplified processing for less urgent matters, thus achieving both speed and simplicity.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes processing parameters such as analysis depth, data collection scope, and response time based on the characteristics of different emergency types. By adjusting these parameters dynamically, the system achieves fast response for urgent emergencies without sacrificing the simplicity of processing for routine matters.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If comprehensive emergency supervision data is collected and processed, then the accuracy of emergency response is improved, but the resource consumption increases

Engineering Contradiction:
Improveaccuracy of emergency responseVSAvoidresource consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent applies partial processing to less critical data and excessive processing (intensive analysis) only to critical emergency data. This selective approach ensures high accuracy for important emergencies while reducing overall resource consumption by avoiding unnecessary intensive processing of all data types.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The patent adjusts processing intensity and resource allocation parameters based on emergency priority levels. By changing these parameters dynamically, the system achieves accurate responses for critical emergencies while optimizing resource consumption by reducing processing intensity for less urgent matters.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20250361039A1Methods, systems based on an IoT large model, and media for smart city hierarchical emergency supervision
Publication Date: 2025.11.27 CHENGDU QINCHUAN IOT TECH CO LTD
  • US20250361039A1 patent drawing
  • US20250361039A1 patent drawing
  • US20250361039A1 patent drawing

AI summary

The present disclosure relates to a method, a system, and a storage medium for smart city hierarchical emergency supervision. The method includes: obtaining area information and emergency supervision data of a target management area corresponding to a low-level management platform, determining a first weighting factor for each type of emergency supervision sub-data of the at least one type of emergency supervision sub-data in the target management area based on the area information, determining a processing level for the each type of emergency supervision sub-data at the low-level management platform and a risk level of the target management area based on the first weighting factor, controlling the low-level management platform to process the emergency supervision data based on the processing level, determining patrol parameters for patrol device in the target management area based on the risk level, and controlling the patrol device to patrol according to the patrol parameters.