IoT Gas Loss Warning System Using Temperature Compensation
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Solution Overview
Problem
Current gas metering methods in China face significant inaccuracies due to fluctuations in gas pressure and air flow, as well as differences in supply conditions and gas quality, making it difficult to accurately determine gas loss during transmission.
Innovation Solution
An IoT system comprising a gas equipment management platform, user platform, sensor network platform, and object platform, utilizing machine learning models with temperature feature extraction layers and prediction layers to process data from gas metering devices, pressure detection devices, and temperature monitoring devices to determine gas metering errors and identify abnormal gas loss, and send warning notices accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional gas metering methods are used to calculate total amount based on local user consumption, then the metering process is simple and easy to operate, but the measurement precision is poor due to gas pressure fluctuations, air flow variations, and supply condition differences
Solution Approach 1:
The patent replaces traditional mechanical gas metering devices with an IoT-based intelligent metering system that uses sensors, communication modules, and data processing algorithms to measure and analyze gas flow, pressure, and temperature parameters, thereby improving measurement precision while enabling remote monitoring and reduced operational complexity
Solution Approach 2:
The patent introduces an intermediate data processing layer that collects raw data from multiple sensors, processes it through algorithms to calculate actual gas loss, and provides standardized outputs for decision-making, thereby decoupling the complexity of measurement from the simplicity of usage
2Measurement precision
If traditional gas metering devices are used without temperature compensation, then the device structure is simple, but the measurement precision deteriorates due to ambient temperature variations affecting gas density and flow characteristics
Solution Approach 1:
The patent incorporates temperature sensors and implements temperature compensation algorithms that dynamically adjust gas flow measurements based on ambient temperature variations, thereby maintaining measurement precision across different environmental conditions without requiring complex hardware modifications
Solution Approach 2:
The patent replaces mechanical temperature-compensated meters with an electronic sensing and computational system that uses temperature sensors and software algorithms to achieve temperature compensation, thereby reducing mechanical complexity while improving overall system intelligence and measurement accuracy
3Reliability
If comprehensive data collection from multiple sensors and positions is implemented, then the measurement precision and reliability of gas loss detection are improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent divides the gas pipeline network into multiple monitoring segments with distributed sensors at strategic positions, allowing localized data collection and processing that can be independently managed, thereby improving detection reliability while reducing the complexity of any single monitoring point
Solution Approach 2:
The patent merges data from multiple sensors (flow meters, pressure sensors, temperature sensors) and multiple pipeline positions into a unified data processing platform that performs centralized analysis, thereby achieving comprehensive monitoring reliability while consolidating complexity into a single manageable system
Data Source
AI summary
Disclosed is a method for warning abnormal gas transmission loss, comprising obtaining gas flow data, gas pressure data, and ambient temperature data of a plurality of time points respectively based on the gas metering devices, the pressure detection devices, and the temperature monitoring devices; determining a gas metering error by processing the ambient temperature data, gas metering device information, and gas information using an error model; determining whether gas loss is abnormal loss based on the gas flow data, the gas pressure data, and the gas metering error; in response to the gas loss being the abnormal loss, determining a warning level based on a position and a size of the abnormal loss; and determining, based on the warning level, a warning notice corresponding to the warning level, and sending the warning notice to the gas user platform through the gas service platform to send a warning to a user.