Dynamic Ventilation Control for Underground Gas Pipeline Corridors
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Solution Overview
Problem
Current methods for supervising ventilation in underground gas pipeline corridors are inefficient due to varying burial depths, temperatures, and humidity levels, leading to increased operating costs and maintenance difficulties, as they often rely on uniform ventilation strategies that fail to account for specific conditions.
Innovation Solution
A system and method utilizing IoT technology to monitor environmental and pipeline data, determining the corrosion reaction degree of pipeline segments, and adjusting ventilation intensity dynamically based on real-time conditions, incorporating a network of platforms for data collection, analysis, and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform ventilation strategy is applied to the entire underground gas pipeline corridor, then ventilation coverage is ensured, but operating costs increase and maintenance difficulty increases
Solution Approach 1:
The pipeline corridor is divided into multiple monitoring segments with independent sensors and ventilation control. Each segment's ventilation is adjusted independently based on local environmental conditions (temperature, humidity, gas concentration), avoiding uniform high-level ventilation across the entire corridor and reducing energy consumption while maintaining safety coverage.
Solution Approach 2:
The ventilation system transitions from static uniform ventilation to dynamic adaptive ventilation. The system continuously monitors environmental parameters and automatically adjusts ventilation intensity in real-time based on actual conditions, ensuring adequate ventilation coverage only where and when needed, thereby reducing overall energy consumption and operating costs.
2Reliability
If uniform ventilation strategy is applied to the entire underground gas pipeline corridor, then ventilation coverage is ensured, but maintenance difficulty increases
Solution Approach 1:
The corridor is segmented into independent monitoring and control zones with dedicated sensors and ventilation equipment. This modular architecture allows maintenance personnel to access and service individual segments without affecting the entire system, reducing maintenance difficulty while ensuring continuous ventilation coverage in operational segments.
Solution Approach 2:
The system incorporates automated monitoring and control capabilities that enable self-diagnosis and automatic adjustment. Sensors continuously detect environmental conditions and trigger ventilation adjustments without manual intervention, reducing the frequency and complexity of maintenance required while maintaining comprehensive ventilation coverage.
3Use of energy by stationary object
If IoT-based dynamic ventilation adjustment is implemented, then operating costs are reduced, but device complexity increases
Solution Approach 1:
The system employs multi-functional integrated devices that combine environmental sensing (temperature, humidity, gas concentration), data processing, and ventilation control in single units or coordinated modules. These universal devices perform multiple functions simultaneously, reducing the number of separate components needed and managing system complexity while enabling dynamic ventilation adjustment to lower operating costs.
Solution Approach 2:
The system implements closed-loop feedback control where sensors continuously monitor environmental conditions and automatically adjust ventilation based on predefined thresholds and algorithms. This automated feedback mechanism eliminates the need for complex manual control systems and frequent human intervention, reducing operating costs while keeping device complexity manageable through rule-based automation.
Data Source
AI summary
A method and a system for supervising safety ventilation of an underground gas pipeline corridor based on Internet of Things (IoT) are provided. The method is executed by a gas company management platform. The method includes obtaining environmental data of a pipeline corridor segment of the underground gas pipeline corridor from a gas equipment object platform via a gas company sensing network platform, and obtaining pipeline corridor data of the underground gas pipeline corridor from a government supervision comprehensive database via a smart gas government safety supervision sensing network platform, wherein the pipeline corridor data include at least one of ventilation data, structural data, and distribution sequence data; determining a corrosion reaction degree of the pipeline corridor segment based on the environmental data and the pipeline corridor data; and adjusting a ventilation intensity of the pipeline corridor segment in response to the corrosion reaction degree meeting a predetermined adjustment condition.