IoT Pipeline Waste Gas Treatment With Feedback Parameter Control
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Solution Overview
Problem
Existing waste gas treatment systems for gas pipelines lack systematic assessment of emission time and risk, leading to safety hazards and inefficiencies in managing and treating pipeline emissions.
Innovation Solution
A system and method utilizing an IoT-based platform for smart gas management, which includes a smart gas government safety supervision management platform, sensor networks, and gas company management platforms to determine waste gas emission standards, obtain instant treatment parameters, and adjust treatment device parameters to ensure safe and efficient waste gas treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing venting equipment is used for waste gas treatment, then the gas pressure and gas concentration can be reduced to specific levels, but the treatment efficiency and process stability cannot be systematically assessed
Solution Approach 1:
The patent implements a feedback mechanism where sensors continuously monitor waste gas concentration and treatment parameters, and the management platform uses this data to assess treatment efficiency and automatically adjust treatment device parameters. This closed-loop feedback system enables systematic assessment of treatment efficiency while maintaining manageable system complexity through automated control algorithms.
Solution Approach 2:
The management platform performs self-assessment of treatment efficiency by automatically collecting sensor data, comparing actual treatment results against expected outcomes, and generating optimization instructions without requiring external manual evaluation. This self-service capability enables continuous monitoring and assessment while minimizing additional system complexity.
2Productivity
If manual monitoring and adjustment of treatment parameters is performed, then system complexity is reduced, but treatment efficiency and safety cannot be optimized in real-time
Solution Approach 1:
The system automatically monitors treatment parameters and waste gas concentration in real-time, compares actual performance against optimization targets, and generates adjustment instructions for treatment devices. This automated feedback loop enables real-time optimization of treatment efficiency while managing automation complexity through structured control algorithms and predefined optimization criteria.
Solution Approach 2:
The patent replaces manual mechanical monitoring and adjustment processes with automated electronic sensing, data processing, and control systems. Sensors automatically detect waste gas concentration and treatment parameters, the management platform processes this data electronically, and control systems automatically adjust treatment device parameters, eliminating the need for manual intervention while maintaining system manageability through software automation.
3Reliability
If comprehensive sensor networks and management platforms are deployed, then waste gas emission can be systematically assessed and controlled, but system complexity and initial investment increase
Solution Approach 1:
The patent divides the waste gas treatment system into distinct functional modules: sensor networks for data collection, management platforms for data processing and assessment, and treatment devices for actual waste gas processing. This segmentation allows each component to be optimized independently while maintaining overall system reliability, and reduces complexity by creating clear interfaces and responsibilities between modules.
Solution Approach 2:
The management platform performs multiple functions including data collection from sensors, waste gas concentration assessment, treatment efficiency evaluation, optimization instruction generation, and device control. This multi-functionality consolidates what could be multiple separate systems into a single integrated platform, improving reliability through coordinated operation while managing complexity through unified architecture.
Data Source
AI summary
Disclosed is a method and system for pipeline waste gas safety treatment of smart gas based on an Internet of Things (IoT). The system comprises a smart gas government safety supervision management platform, a smart gas government safety supervision sensor network platform, a gas company management platform, a gas company sensor network platform, and a smart gas equipment object platform. The gas company management platform includes a processor and is configured to: determine, a waste gas emission standard for a pending pipeline; in response to the pending pipeline beginning to emit waste gas, obtain an instant treatment parameter of a waste gas treatment device in the pending pipeline; determine an expected treatment parameter corresponding to a preset future time point; and generate an adjustment instruction to control the smart gas equipment object platform to adjust a treatment parameter of the waste gas treatment device based on the adjustment instruction.