IoT Pipeline Cleaning Control for Gas Filtration Impurity Buildup

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Solution Overview

Problem

Existing gas filtration systems in urban gas pipeline systems fail to systematically evaluate the necessity of pollutant discharge cleaning based on various data, affecting downstream gas quality and filtration efficiency due to impurity accumulation.

Innovation Solution

A smart gas supervision Internet of Things (IoT) system that includes a management platform, sensor networks, and device platforms to collect and analyze pollutant discharge and gas monitoring data, determining a pipeline cleaning parameter to control cleaning operations using a cleaning crawling robot with adjustable parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If automated cleaning is triggered based on empirically set specified values, then cleaning operations can be initiated, but the system cannot systematically evaluate whether cleaning is necessary based on various data

Engineering Contradiction:

Improveautomated cleaning triggerVSAvoidcleaning necessity evaluation

Core Design Contradiction:

Extent of automationVSMeasurement precision

Solution Approach 1:

The system establishes a feedback mechanism by continuously collecting pollutant discharge working data and gas monitoring data, then using this feedback to dynamically determine cleaning parameters. The management platform receives real-time data from the sensor network, evaluates cleaning necessity based on multiple parameters, and adjusts cleaning operations accordingly, replacing static threshold triggering with dynamic data-driven decision-making.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent replaces the mechanical threshold-based triggering system with an information-processing system. Instead of relying on simple pressure difference thresholds, the system uses a management platform to collect, analyze, and process multiple data streams (pollutant discharge working data and gas monitoring data), substituting empirical mechanical triggers with intelligent algorithmic evaluation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Object-generated harmful factors

If the system switches pipeline connection from gas outlet to gas inlet for cleaning, then downstream gas quality is protected, but the system fails to evaluate impact on downstream pipeline

Engineering Contradiction:

Improvedownstream gas quality protectionVSAvoiddownstream pipeline impact evaluation

Core Design Contradiction:

Object-generated harmful factorsVSLoss of information

Solution Approach 1:

The management platform acts as an intermediary between the cleaning operation and the downstream pipeline. It collects gas monitoring data from the downstream area, evaluates potential impacts, and uses this information to determine appropriate cleaning parameters. This intermediary function ensures that cleaning operations are coordinated with downstream pipeline conditions, preventing harmful effects while maintaining gas quality protection.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback loops that monitor downstream pipeline conditions during cleaning operations. Gas monitoring data from downstream areas is continuously fed back to the management platform, which adjusts cleaning parameters in real-time to prevent negative impacts on the downstream pipeline while maintaining effective cleaning.

Inventive Principle:

Principle #23Feedback

3Duration of action of stationary object

If impurities accumulate in pollutant discharge pipeline, then filtration device operates longer, but gas filtration effect and downstream gas quality are affected

Engineering Contradiction:

Improvefiltration device operation durationVSAvoidgas filtration effect

Core Design Contradiction:

Duration of action of stationary objectVSObject-generated harmful factors

Solution Approach 1:

The system performs preliminary evaluation of cleaning necessity by continuously analyzing pollutant discharge working data and gas monitoring data before cleaning becomes critical. The management platform predicts when impurity accumulation will affect filtration performance and initiates cleaning operations in advance, preventing degradation of gas filtration effect while maximizing the operational duration of the filtration device.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from gas monitoring data to detect early signs of filtration performance degradation caused by impurity accumulation. This feedback triggers timely cleaning operations, extending the effective operational duration of the filtration device by maintaining optimal performance through proactive maintenance rather than reactive intervention.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12596385B2Method, system, and storage medium for pipeline cleaning based on smart gas supervision internet of things (IoT)

Publication Date: 2026.04.07 CHENGDU QINCHUAN IOT TECH CO LTD

AI summary

Provided are a method, a system, and a storage medium for pipeline cleaning based on smart gas supervision IoT. The method comprises: obtaining pollutant discharge working data and gas monitoring data obtained by a smart gas device object platform, and storing the pollutant discharge working data and the gas monitoring data in a gas database, determining a pipeline cleaning parameter based on the pollutant discharge working data and the gas monitoring data, and uploading the pipeline cleaning parameter to a smart gas government safety monitoring management platform, generating a cleaning regulation instruction based on the pipeline cleaning parameter, and sending the cleaning regulation instruction to the smart gas device object platform to control a target pollutant discharge device to perform cleaning based on the cleaning working parameter.