IoT Gas Quality Monitoring With Dynamic Mixing Control
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Solution Overview
Problem
Manual gas quality monitoring in smart gas pipeline networks is inefficient and costly, failing to meet the high requirements of modern city management for gas safety and accuracy.
Innovation Solution
A system and method utilizing an Internet of Things (IoT) framework that includes a government gas supervision management platform to collect and analyze gas data, determine monitoring frequencies and mixing parameters, and adjust gas mixing ratios dynamically to ensure accurate gas quality and user requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring methods are used for gas quality monitoring, then the system complexity is low, but the monitoring efficiency is low and the cost is high
Solution Approach 1:
The patent replaces manual mechanical monitoring systems with an automated IoT-based electronic monitoring system. Gas monitoring devices automatically collect data from gas pipelines, transmit it via communication modules to a cloud platform, where algorithms process the data to determine gas quality parameters. This substitution eliminates manual intervention while maintaining system manageability through standardized IoT architecture.
Solution Approach 2:
The monitoring system performs self-service through automated data collection, transmission, and analysis. The gas monitoring devices autonomously measure gas parameters, the communication modules automatically transmit data without human intervention, and the cloud platform autonomously processes information to generate monitoring results. This self-service capability significantly improves monitoring efficiency while reducing operational costs.
2Measurement precision
If manual monitoring methods are used, then the device complexity is low, but the monitoring accuracy and safety requirements are not met
Solution Approach 1:
The patent implements feedback mechanisms where the cloud platform receives real-time gas monitoring data, processes it through quality assessment algorithms, and returns monitoring results to the gas company. The system continuously compares actual gas quality against predefined standards and provides feedback for corrective actions, ensuring high measurement precision and safety compliance.
Solution Approach 2:
The system performs preliminary actions by pre-establishing gas quality standards, thresholds, and monitoring protocols before actual monitoring begins. The cloud platform pre-processes data formats, pre-defines safety criteria, and pre-configures alert mechanisms, enabling accurate and timely detection of gas quality issues before they become critical safety problems.
3Reliability
If frequent monitoring is performed to ensure gas safety, then the gas quality monitoring accuracy is improved, but the monitoring cost and resource consumption increase
Solution Approach 1:
The patent applies dynamic monitoring strategies where the system adjusts monitoring frequency and intensity based on real-time gas quality conditions and risk assessments. The cloud platform analyzes historical data and current trends to dynamically determine optimal monitoring intervals, ensuring gas safety is maintained while avoiding unnecessary monitoring resources during stable periods. This dynamic approach balances reliability with resource efficiency.
Solution Approach 2:
The system changes monitoring parameters such as sampling frequency, measurement depth, and analysis scope based on gas quality conditions, pipeline location risks, and regulatory requirements. The cloud platform adjusts these parameters dynamically to focus resources on high-risk areas and periods while reducing intensity in low-risk zones, thereby maintaining gas safety assurance with optimized resource consumption.
Data Source
AI summary
Systems and methods for gas quality monitoring are provided. The system includes a government gas supervision management platform, a government gas supervision sensing network platform, a government gas supervision object platform, a gas company sensing network platform, a device object platform, a gas user platform, and a gas company service platform communicated with each other. The government gas supervision management platform is configured to determine a monitoring sampling region based on the first gas data; determine a monitoring frequency of a gas monitoring device within the monitoring sampling region based on a steady-state value of the monitoring sampling region; determine a terminal gas quality based on the second gas data and the gas input information; determine a gas quality requirement based on the terminal user feature and the gas regulation data; and determine an updating mixing parameter in response to the terminal gas quality not satisfying the gas quality requirement.