IoT Gas Pipeline Maintenance With Human-Robot Task Coordination
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Solution Overview
Problem
Current gas pipeline maintenance methods often rely solely on maintenance devices or robots, lacking effective human-machine linkage, which can lead to slow and delayed maintenance processes, especially in high-risk situations where manual intervention is necessary.
Innovation Solution
An IoT system for smart gas pipeline maintenance that includes a smart gas user platform, a smart gas service platform, a smart gas pipeline network safety management platform, and a smart gas pipeline network sensor network platform, enabling real-time feedback and control instructions between maintainers and maintenance robots to optimize maintenance parameters and improve efficiency and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If only maintenance devices or robots are used for pipeline maintenance, then automation is improved, but maintenance efficiency deteriorates due to lack of human-machine coordination
Solution Approach 1:
The patent merges maintenance robots and human maintainers into a coordinated human-machine linkage system. The platform integrates robot control, maintainer operations, and centralized management into a unified system that combines automated capabilities with human decision-making, thereby resolving the contradiction between automation and maintenance efficiency.
Solution Approach 2:
The centralized management platform acts as an intermediary between maintainers and maintenance robots. It receives maintenance requests, assigns tasks, monitors execution, and coordinates resources, serving as a mediator that enables efficient human-machine collaboration and resolves the efficiency deterioration caused by lack of coordination.
2Adaptability or versatility
If maintainers perform maintenance manually, then adaptability is improved, but safety deteriorates in high-risk situations
Solution Approach 1:
The centralized management platform serves as an intermediary that assesses maintenance risks and determines whether human maintainers or robots should perform tasks. High-risk tasks are automatically assigned to robots, while lower-risk tasks remain suitable for human maintainers, thereby protecting personnel safety while maintaining operational adaptability.
Solution Approach 2:
The system enables self-service by allowing the centralized management platform to automatically assess risks, assign tasks, and monitor execution without requiring constant human intervention. This automated risk assessment and task allocation mechanism ensures safety in high-risk situations while maintaining system adaptability.
3Reliability
If robots are mobilized for high-risk maintenance tasks, then safety is improved, but maintenance time increases
Solution Approach 1:
The centralized management platform performs preliminary risk assessment and task allocation before maintenance operations begin. By pre-evaluating risks and assigning appropriate tasks to robots or maintainers in advance, the system avoids delays during actual maintenance execution, thereby reducing overall maintenance time while ensuring safety through appropriate robot deployment.
Solution Approach 2:
The system implements feedback mechanisms where the centralized management platform continuously monitors maintenance progress and adjusts task allocation in real-time. This feedback loop enables efficient coordination between robots and maintainers, optimizing maintenance time while maintaining safety standards through dynamic resource allocation.
4Ease of operation
If human maintainers and robots work independently, then operational simplicity is improved, but coordination efficiency deteriorates
Solution Approach 1:
The centralized management platform merges independent maintainer and robot operations into a unified coordinated system. It integrates task assignment, progress monitoring, and resource allocation functions, enabling efficient coordination while maintaining operational simplicity through centralized control and automated workflows.
Data Source
AI summary
Methods and Internet of Things (IOT) systems for smart gas pipeline maintenance based on human-machine linkage are provided. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas pipeline network safety management platform, a smart gas pipeline network sensor network platform, and a smart gas pipeline network object platform. The method includes determining a first cycle based on data of a pipeline to be maintained, a feature of a maintainer, and/or a feature of a maintenance robot, obtaining, through a maintainer terminal and/or the maintenance robot, first feedback data based on the first cycle, determining, based on the first feedback data and the data of the pipeline to be maintained, a maintenance parameter and sending the maintenance parameter to the maintainer terminal, and generating, based on the maintenance parameter, a control instruction and sending the control instruction to the maintenance robot.