IoT Gas Meter Leak Detection With Remote Valve Shutoff

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Solution Overview

Problem

Current gas leakage detection methods in home safety are prone to false and omitted judgments due to reliance on combustible gas alarms, leading to poor accuracy and potential safety hazards.

Innovation Solution

A compound IoT system comprising a user platform, management platform, sensor network sub-platforms, and service sub-platforms, including a gas meter, which sends detection commands, processes gas data, and sends valve closing instructions based on predefined thresholds and user queries to accurately detect and respond to gas leaks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional combustible gas alarms are used for gas leakage detection, then the detection mechanism is simple, but the accuracy of leakage detection is poor due to false judgments and omitted judgments

Engineering Contradiction:
Improveaccuracy of leakage detectionVSAvoidcomplexity of detection system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the gas detection function across multiple components: gas meter with flow sensors, smart valves, mobile application, and cloud platform. Each component performs a specific function (flow measurement, valve control, user interaction, data processing), collectively achieving high detection accuracy without requiring a single complex alarm device

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The gas meter is designed to perform multiple functions: traditional gas consumption measurement, gas leakage detection through flow pattern analysis, and integration with smart valve control. This multi-functionality improves detection accuracy while avoiding the need for separate specialized alarm devices

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If traditional alarms are installed far from gas leakage positions, then the installation flexibility is high, but omitted judgments occur reducing detection reliability

Engineering Contradiction:
Improvereliability of gas leakage detectionVSAvoidease of alarm installation
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system introduces mobile devices and cloud communication as intermediaries between the gas meter and the user. The gas meter continuously monitors flow data and can remotely control smart valves, eliminating the need for physical proximity between alarm and leakage source while maintaining high reliability through automated detection and response

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If continuous monitoring is implemented to improve detection accuracy, then the reliability increases, but the energy consumption increases

Engineering Contradiction:
Improvereliability of gas leakage detectionVSAvoidenergy consumption of gas meter
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system implements periodic flow data collection and analysis instead of continuous high-power transmission. The gas meter monitors flow continuously at low power, transmits data periodically to the cloud platform for analysis, and only activates high-power components when anomalies are detected, maintaining reliability while reducing energy consumption

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS11237030B2Gas leakage detection method based on compound internet of things (IoT) and IoT system
Publication Date: 2022.02.01 CHENGDU QINCHUAN IOT TECH CO LTD
  • US11237030B2 patent drawing
  • US11237030B2 patent drawing
  • US11237030B2 patent drawing

AI summary

The present invention relates to the field of Internet of Things (IoT), and provides a gas leakage detection method based on a compound IoT and an IoT system. According to the gas leakage detection method based on the compound IoT and the IoT system provided by the present invention, whether a gas pipeline of a user has gas leakage or not is judged via a user participation manner, the judgment manner is intelligent, the judgment result is accurate and thus the gas safety of the user is guaranteed.