Smart Gas Flow Meter Regulation for Industrial Units
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for gas consumption assessment in industrial and commercial units are inadequate for managing fluctuations and preventing gas outages, as they are primarily designed for residential users and focus on safety and metering accuracy rather than ensuring continuous gas supply.
Innovation Solution
A method for regulating a smart gas flow meter using an IoT system that collects operation data, time features, and user feedback to determine gas flow trends and continuous supply parameters, including quotas and times, to ensure uninterrupted gas supply.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gas consumption assessment methods designed for residential users are applied to industrial and commercial units, then safety assessment and gas metering accuracy are improved, but the ability to handle large gas consumption fluctuations and prevent gas outages deteriorates
Solution Approach 1:
The system dynamically adjusts gas supply parameters (flow rate, pressure, time windows) based on real-time consumption patterns and predictive analytics, transforming the rigid residential assessment model into a flexible industrial/commercial adaptation that handles fluctuations while maintaining metering accuracy
Solution Approach 2:
The patent implements dynamic prediction models that continuously learn from historical and real-time data to adapt gas supply parameters to changing industrial and commercial needs, enabling the system to respond to large consumption fluctuations while preventing outages
2Reliability
If traditional gas assessment systems focus on safety and metering accuracy, then reliable gas measurement is achieved, but the ability to provide continuous gas supply and avoid outages deteriorates
Solution Approach 1:
The system performs preliminary actions by predicting future gas consumption trends and proactively adjusting supply parameters before outages occur, using machine learning models to anticipate needs and prevent disruptions to continuous gas supply
Solution Approach 2:
The patent implements closed-loop feedback mechanisms where real-time consumption data, user feedback, and system performance metrics continuously inform adjustments to gas supply parameters, ensuring both measurement reliability and continuous supply precision
3Device complexity
If generic gas assessment methods are used for all users, then system complexity is reduced, but the ability to provide targeted gas supply parameters for different industrial and commercial units deteriorates
Solution Approach 1:
The system applies local quality by customizing gas supply parameters and prediction models for each industrial and commercial unit based on their specific consumption patterns, operational characteristics, and historical data, rather than using a one-size-fits-all approach
Solution Approach 2:
The patent segments users into different categories (industrial, commercial, residential) with tailored assessment methodologies and supply parameters, allowing the system to manage complexity through structured classification while providing targeted service to each segment
Data Source
AI summary
The present invention provides a method for regulating a flow meter of an industrial and commercial unit of smart gas, an Internet of Things (IoT) system and a medium. The method is implemented by a smart gas management platform of an IoT system for regulating a flow meter of an industrial and commercial unit of smart gas, and comprises: obtaining operation data, a time feature, and user feedback data, the operation data including gas usage data and gas outage feedback data of the industrial and commercial unit; determining, based on the operation data, the time feature, and the user feedback data, a gas flow trend of a low balance user; and determining, based on the gas flow trend, the time feature, and the gas outage feedback data, continuous gas supply parameters of the low balance user, the continuous gas supply parameters including at least one of a continuous gas supply quota and a continuous gas supply time.