Smart Gas Inspection Device Using IoT Sensors and ML
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Solution Overview
Problem
The increasing demand for gas in urban areas and the expansion of gas pipeline networks pose challenges in detecting gas leaks in a timely and efficient manner, as existing methods are labor-intensive and prone to safety hazards.
Innovation Solution
A method and system for generating an inspection scheme based on smart gas technology, utilizing an Internet of Things (IoT) system that includes a smart gas management platform, sensors, and a drive module to move a gas leakage inspection device. This system collects data on combustible gas concentrations, wind direction, wind speed, and abnormal sounds, and uses machine learning models to determine necessary inspection points and frequencies, thereby creating an optimized inspection scheme.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection methods are used to detect gas leaks, then inspection coverage can be achieved, but the process is labor-intensive and prone to safety hazards
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated inspection device that uses sensors (combustible gas detection, wind direction and speed sensing, sound monitoring) and ultrasonic ranging to detect gas leaks. The device is driven by a drive module that automatically navigates along pipeline routes, eliminating the need for human inspectors to physically traverse dangerous areas while maintaining comprehensive inspection coverage
Solution Approach 2:
The inspection device performs self-navigation and self-inspection functions. The drive module automatically controls movement based on pipeline route information, the sensor suite autonomously detects gas concentrations and environmental conditions, and the system self-determines inspection frequencies based on historical data and risk assessment, reducing dependency on human operators
2Reliability
If regular manual inspections are conducted on expanding gas pipeline networks, then safety risks can be monitored, but the labor requirements and time consumption increase significantly
Solution Approach 1:
The inspection device enables continuous monitoring of gas pipelines by automatically traversing the pipeline network without interruption. The system continuously collects gas concentration data, environmental conditions, and pipeline status information, processing and analyzing data in real-time to maintain constant surveillance over expanding pipeline infrastructure without the discontinuities inherent in manual inspection schedules
Solution Approach 2:
The inspection device integrates multiple detection functions into a single platform: combustible gas detection, wind direction and speed sensing, abnormal sound monitoring, and ultrasonic ranging. This multi-functional device can inspect various types of pipelines and environmental conditions simultaneously, making the system adaptable to expanding and diverse pipeline networks without requiring additional specialized equipment for each inspection type
3Measurement precision
If comprehensive inspection of all pipeline points is performed, then no gas leaks are missed, but the inspection time and resource allocation become inefficient
Solution Approach 1:
The system applies different inspection frequencies to different pipeline locations based on their risk profiles. High-risk areas (identified through historical data, environmental factors, and pipeline characteristics) receive more frequent inspections, while low-risk areas are inspected less frequently. This localized differentiation maintains high detection accuracy for critical areas while reducing unnecessary inspections in safer zones, optimizing both detection precision and time efficiency
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables timely and efficient detection of gas leaks, reducing safety hazards and improving the efficiency of gas pipeline network inspections by automating the inspection process and optimizing resource allocation.
Implementation Method 1
the ultrasonic ranging component is used to obtain distance data between the gas leakage inspection device and an obstacle
Implementation Method 2
the first monitoring data includes at least one of a combustible gas concentration
Data Source
AI summary
The embodiments of the present disclosure provide a method, an Internet of Things system and a storage medium for generating an inspection scheme based on smart gas, the method is realized based on a smart gas management platform of the Internet of Things system, including: obtaining, based on first monitoring data at a first location and distance data, second monitoring data at a second location by controlling a drive module to drive a gas leakage inspection device to move; determining, based on the second monitoring data, a necessary inspection point and an inspection frequency of the necessary inspection point; determining, based on the necessary inspection point and the inspection frequency of the necessary inspection point, a first inspection scheme; and controlling the drive module to drive the gas leakage inspection device to inspect a gas pipeline network based on the first inspection scheme.