IoT Gas Household Inspections Using Usage-Based Risk Prioritization
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Solution Overview
Problem
Existing gas pipeline inspection methods fail to ensure high completion rates within inspection deadlines and are inefficient, leading to potential safety hazards due to untimely inspections.
Innovation Solution
A smart gas household inspection method utilizing an IoT system that determines candidate inspection time periods based on gas usage data, allocates inspection resources, and adjusts parameters to prioritize high-risk users, ensuring timely inspections and optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional gas pipeline inspection methods are used, then inspection coverage can be achieved, but inspection completion rates within deadlines cannot be ensured and efficiency is low
Solution Approach 1:
The system performs preliminary actions by acquiring gas usage data before inspections and determining candidate inspection time periods in advance. The smart gas management platform analyzes historical gas usage patterns to predict optimal inspection windows, allowing inspectors to be dispatched proactively rather than reactively, thereby ensuring completion within deadlines while maintaining efficiency.
Solution Approach 2:
The inspection system dynamically adjusts inspection parameters based on real-time conditions. The smart gas management platform continuously monitors gas usage data and dynamically determines candidate inspection time periods, inspection resource allocation, and inspector dispatch based on current system state, enabling flexible adaptation to changing conditions while meeting deadlines.
2Reliability
If comprehensive gas pipeline inspections are conducted, then safety hazards can be detected, but inspection costs increase
Solution Approach 1:
The system applies local quality by differentiating inspection priorities across different gas users. The smart gas management platform analyzes gas usage data to identify high-risk users and allocates inspection resources accordingly, concentrating thorough inspections where safety risks are highest while reducing inspection intensity for low-risk areas, thereby maintaining safety detection capability while reducing overall costs.
Solution Approach 2:
The system changes inspection parameters dynamically based on risk assessment. By analyzing gas usage patterns and determining candidate inspection time periods, the platform adjusts inspection frequency, resource allocation, and priority levels according to detected risk parameters, optimizing the balance between safety detection and cost efficiency.
3Productivity
If inspection resources are allocated uniformly, then resource management is simple, but inspection efficiency is reduced
Solution Approach 1:
The system implements feedback mechanisms where the smart gas management platform continuously monitors inspection progress, gas usage data, and completion rates. Based on this feedback, the platform automatically adjusts candidate inspection time periods and resource allocation, creating a closed-loop system that optimizes efficiency while managing complexity through automated decision-making.
Solution Approach 2:
The smart gas management platform performs self-service by autonomously determining inspection parameters, allocating resources, and dispatching inspectors based on analyzed gas usage data. The system serves itself by automatically optimizing its own operations without requiring manual intervention, thereby improving efficiency while the automation handles the complexity of resource allocation.
4Productivity
If inspection deadlines are extended, then completion rates improve, but safety risks increase due to delayed inspections
Solution Approach 1:
The system performs preliminary risk assessment by analyzing gas usage data before determining inspection schedules. The smart gas management platform identifies high-risk users in advance and prioritizes them for inspection, ensuring that safety-critical inspections are scheduled first, thereby preventing safety risks from accumulating while maintaining high completion rates within original deadlines.
Data Source
AI summary
Method for smart gas household inspection based on government supervision, IoT system, and medium are provided. The method includes obtaining gas usage data; determining a candidate inspection time period; determining an inspection parameter based on the candidate inspection time period and the inspection resource information; and generating an inspection command and sending the inspection command to a smart gas inspector object platform to enable the inspector to conduct home inspection. The system includes a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensor network platform, a smart gas equipment object platform, a smart gas inspector object platform, a government gas supervision object platform, a government gas supervision sensor network platform, a government gas supervision management platform, a government gas supervision service platform, and a citizen user platform. The method is implemented by reading computer instructions stored on computer-readable storage medium.