IoT Pipeline Blockage Localization With Robot Cleaning Control
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Solution Overview
Problem
Traditional methods for detecting and resolving pipeline blockages in gas pipelines are inefficient, costly, and prone to environmental noise interference, compromising accuracy and safety.
Innovation Solution
An IoT system for pipeline blockage point localization that includes a government safety supervision management platform, a gas company management platform, and a cleaning robot, which determines monitoring points, constructs a gas operation map, identifies target blockage points, and generates cleaning instructions for the robot to clean the pipeline based on historical data and real-time monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If infrasound waves are generated to detect blockage, then blockage localization capability is improved, but environmental noise interference increases causing reduced detection accuracy
Solution Approach 1:
The patent introduces ultrasonic waves as an intermediary detection method instead of directly using infrasound waves. The ultrasonic waves serve as a mediator that interacts with the blockage to produce acoustic emissions, which are then detected. This intermediary approach allows blockage detection without the harmful environmental noise interference that affects direct infrasound detection.
Solution Approach 2:
The patent replaces the mechanical/acoustic infrasound wave generation and detection system with an ultrasonic wave system. By substituting the detection mechanism from infrasound to ultrasonic waves, the system achieves blockage localization while avoiding the environmental noise problems inherent in infrasound-based methods.
2Reliability
If manual inspection and hardware-based detection are used, then blockage detection capability is provided, but detection efficiency is low and costs are high
Solution Approach 1:
The system enables self-service detection by allowing the pipeline itself to generate detectable signals when blockage occurs. The blockage automatically triggers acoustic emissions that can be detected by the monitoring system, eliminating the need for active manual inspection while maintaining reliable blockage detection capability.
Solution Approach 2:
The patent replaces manual inspection and hardware-based detection systems with an acoustic emission monitoring system using ultrasonic waves. This substitution automates the detection process, significantly improving productivity while maintaining reliable blockage detection capability.
3Reliability
If traditional detection methods are used, then blockage detection is possible, but real-time performance is insufficient
Solution Approach 1:
The system implements continuous monitoring of acoustic emissions in the pipeline using ultrasonic wave technology. This continuous detection approach ensures that blockages are detected in real-time as they occur, eliminating the time delays associated with periodic manual inspections or traditional detection methods.
Solution Approach 2:
The patent replaces traditional periodic detection methods with continuous acoustic emission monitoring using ultrasonic waves. This substitution enables real-time blockage detection, significantly reducing the time loss between blockage occurrence and detection.
Data Source
AI summary
Disclosed is a method and an Internet of Things (IoT) system or pipeline blockage point localization of smart gas and media. The method is implemented based on a gas company management platform of the IoT system for pipeline blockage point localization of smart gas, comprising: determining a monitoring point based on a historical blockage point set, the monitoring point being located in a gas pipeline of a gas pipeline network, the historical blockage point set being determined based on historical blockage data corresponding to a preset historical time period; constructing a gas operation map based on monitoring data corresponding to the monitoring point; determining a target blockage point location based on the gas operation map; determining a cleaning parameter based on the target blockage point location; and generating a cleaning instruction based on the cleaning parameter and sending the cleaning instruction to a cleaning robot.