CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD. (20240346461). METHODS AND INTERNET OF THINGS SYSTEMS FOR MANAGING ROBOTS IN PIPELINE CORRIDOR OF GAS BASED ON REGULATORY INTERNET OF THINGS simplified abstract

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METHODS AND INTERNET OF THINGS SYSTEMS FOR MANAGING ROBOTS IN PIPELINE CORRIDOR OF GAS BASED ON REGULATORY INTERNET OF THINGS

Organization Name

CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.

Inventor(s)

Zehua Shao of Chengdu (CN)

Junyan Zhou of Chengdu (CN)

Zhubin Cheng of Chengdu (CN)

Lilong Su of Chengdu (CN)

METHODS AND INTERNET OF THINGS SYSTEMS FOR MANAGING ROBOTS IN PIPELINE CORRIDOR OF GAS BASED ON REGULATORY INTERNET OF THINGS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346461 titled 'METHODS AND INTERNET OF THINGS SYSTEMS FOR MANAGING ROBOTS IN PIPELINE CORRIDOR OF GAS BASED ON REGULATORY INTERNET OF THINGS

Simplified Explanation

The patent application describes a method for managing a gas pipeline corridor robot using IoT technology. It involves obtaining environmental data, sending inspection commands to the robot, analyzing inspection data, and conducting manual re-inspections if needed.

  • Obtaining corridor environmental data from a sensing network platform of the gas company
  • Determining robot inspection commands based on the environmental data
  • Sending inspection commands to the robot via the sensing network platform
  • Analyzing inspection data and identifying doubtful data
  • Transmitting doubtful data to a gas customer service platform for manual re-inspection
  • Uploading manual re-inspection results to a government supervision management platform

Potential Applications

This technology can be applied in the management and maintenance of gas pipelines, ensuring safety and efficiency in operations. It can also be used in other industries that require remote monitoring and inspection of equipment.

Problems Solved

The method addresses the challenge of effectively managing and inspecting gas pipeline corridors, improving the accuracy and reliability of maintenance activities. It also streamlines the process of identifying and addressing potential issues in the pipeline infrastructure.

Benefits

- Enhanced monitoring and maintenance of gas pipelines - Improved safety and reliability of operations - Streamlined inspection processes - Efficient identification and resolution of maintenance issues

Commercial Applications

Title: IoT-Based Gas Pipeline Corridor Robot Management System This technology can be utilized by gas companies, infrastructure maintenance firms, and government agencies responsible for overseeing pipeline operations. It can also be integrated into existing IoT systems for enhanced monitoring and control.

Questions about IoT-Based Gas Pipeline Corridor Robot Management System

How does this technology improve the efficiency of gas pipeline maintenance?

The technology automates the inspection process, allowing for quicker identification of maintenance issues and timely resolution, leading to improved operational efficiency.

What are the potential cost savings associated with implementing this system?

By streamlining inspection processes and enabling proactive maintenance, the system can help reduce downtime, prevent costly repairs, and optimize resource allocation, resulting in significant cost savings.


Original Abstract Submitted

a method for managing a gas pipeline corridor robot based on regulatory internet of things (iot) is disclosed, the method comprises: obtaining corridor environmental data from a sensing network platform of the gas company; determining a robot inspection command based on the corridor environmental data; sending the robot inspection command to a gas equipment object platform via the sensing network platform of the gas company; obtaining inspection data of the maintenance robot; determining doubtful data based on the inspection data; in response to the presence of the doubtful data, transmitting the doubtful data to a gas customer service platform for manual re-inspection; and obtaining a manual re-inspection result and uploading the manual re-inspection result to a government supervision management platform via a government supervision sensing network platform.