Smart Gas Odorization Control via IoT Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current gas distribution systems face challenges in accurately measuring and adjusting odorant levels, leading to excessive consumption or insufficient odorization, which fails to meet safety standards and increases costs due to the large displacement of pumps used in gas distribution stations.
Innovation Solution
An Internet of Things (IoT) system for smart gas device management that includes a smart gas user platform, service platform, device management platform, and sensor network platform, utilizing a sampling device, odorization device, and inspection device, along with a machine learning-based parameter determination model for real-time adjustment of odorization parameters based on historical data and inspection results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If large-displacement diaphragm pumps and piston pumps are used to add odorant, then the odorization process can be performed, but it is inconvenient to measure when the odorant with a relatively small flow is added
Solution Approach 1:
The patent replaces the mechanical pump system with an electronic control system that uses solenoid valves and microcontrollers to precisely control odorant flow. This substitution allows for accurate measurement and control of small odorant flows that cannot be measured by traditional mechanical pumps.
Solution Approach 2:
The system dynamically adjusts the odorant flow rate based on real-time gas consumption data from smart meters. The control unit continuously modifies the opening duration and frequency of solenoid valves to match the current gas flow, enabling precise control of variable odorant flows.
2Reliability
If odorization is performed at a low peak of gas consumption, then gas safety is maintained, but the odorization amount becomes too large, resulting in excessive consumption of odorant and increased cost
Solution Approach 1:
The system implements a feedback loop where smart meters continuously monitor gas consumption, and the control unit adjusts odorant injection based on this real-time data. This closed-loop control ensures that odorant is added in precise amounts proportional to actual gas consumption, preventing both over-odorization and under-odorization.
Solution Approach 2:
The system dynamically changes the odorant injection parameters (flow rate, injection duration, injection frequency) based on the current gas consumption level. During low gas consumption periods, the system reduces odorant flow to match the lower gas flow, while maintaining sufficient odorization for safety.
3Ease of operation
If odorization amount is fixed and cannot be adjusted in time, then the odorization system is simple to operate, but the odorization amount becomes low at peak gas consumption, which may not meet the requirement of current national standard
Solution Approach 1:
The system automatically adjusts odorant injection parameters without manual intervention. The control unit receives gas consumption data from smart meters and autonomously calculates and implements the appropriate odorant flow rate, eliminating the need for manual adjustment while maintaining high precision.
Solution Approach 2:
The system transitions from static, fixed odorization parameters to dynamic parameters that automatically adapt to changing gas consumption conditions. The control unit continuously adjusts injection duration and frequency based on real-time gas flow data, ensuring precise odorization matching at all operating levels.
Data Source
AI summary
The embodiments of the present disclosure provide method and Internet of Things system for determining odorization parameters of smart gas device management. The method may include obtaining gas data of a first gas sample at a first position of a smart gas pipeline network, odorizing at a second position of the smart gas pipeline network based on the odorization parameters, obtaining inspection data of a second gas sample at a third position of the smart gas pipeline network, and sending the inspection data to the smart gas pipeline network device parameter management sub-platform for analysis and processing, obtaining a target odorization concentration, and determining target odorization parameters, updating the odorization parameters based on the target odorization parameters, and send updated odorization parameters to the smart gas data center, and odorizing, based on the updated odorization parameters, at the second position of the smart gas pipeline network.