Gas Gate Valve Control for IoT Emergency Isolation Planning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing gas management systems lack efficient methods to handle emergencies such as gas supply interruptions, pressure changes, and leaks, which can lead to safety accidents if not addressed promptly.
Innovation Solution
An IoT system with a smart gas management platform that analyzes gas emergencies, determines severity, predicts gas supply volumes, and automatically generates a plan to open or close gas valves at gas gate stations using machine learning models to minimize impact and improve emergency handling efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual emergency handling methods are used in gas management systems, then operational flexibility is maintained, but emergency response time is excessive and efficiency is low
Solution Approach 1:
The system performs preliminary actions by pre-establishing emergency handling plans for different gas emergency scenarios. When an emergency occurs, the system automatically matches the current situation with pre-defined plans and executes predetermined valve operations, eliminating the need for manual decision-making during emergencies and significantly reducing response time.
Solution Approach 2:
The system enables self-service through automated emergency handling where the gas management platform independently detects emergencies, determines severity, selects appropriate handling plans, and executes valve operations without human intervention. This self-service capability dramatically improves emergency response efficiency while maintaining operational flexibility through programmable logic.
2Productivity
If automated emergency handling systems are implemented, then emergency response efficiency is improved, but system complexity increases
Solution Approach 1:
The automated system is segmented into distinct functional modules: emergency detection module, severity determination module, plan selection module, and execution module. Each module performs a specific function, making the complex automated system manageable through modular design while maintaining high emergency response efficiency.
Solution Approach 2:
The gas management platform acts as an intermediary between emergency detection devices and gas valve control systems. It receives emergency information, processes it through automated algorithms, and generates control instructions, thereby simplifying the overall system architecture while enabling automated emergency handling.
3Reliability
If gas valves are closed immediately during emergencies, then safety risks are reduced, but gas supply interruption is excessive
Solution Approach 1:
The system applies local quality by determining the specific location and scope of the emergency, then closing only the gas valves in the affected region while keeping valves in unaffected areas open. This localized response minimizes gas supply interruption to normal areas while effectively containing safety risks to the emergency zone.
Solution Approach 2:
The system performs partial action by closing only the necessary portion of gas valves required to contain the emergency, rather than shutting down the entire gas supply system. This partial closure is sufficient to address the safety risk while avoiding excessive gas supply interruption that would affect unrelated areas.
Data Source
AI summary
Methods and Internet of Things (IoT) systems for determining an opening and closing plan of a gas valve of a gas gate station are provided. The method may be implemented through the IoT system. The IoT system may include a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensor network platform, and a smart gas object platform. The method performed by the smart gas management platform may comprise: obtaining information of a gas emergency based on a call answered by the call center of smart gas; determining severity of the gas emergency based on the information of the gas emergency; and automatically determining the opening and closing plan of the gas valve of the gas gate station based on the severity and the gas supply volume.