20240035626. METHOD FOR DETERMINING ODORIZATION PARAMETERS OF SMART GAS DEVICE MANAGEMENT AND INTERNET OF THINGS SYSTEM THEREOF simplified abstract (CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.)

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METHOD FOR DETERMINING ODORIZATION PARAMETERS OF SMART GAS DEVICE MANAGEMENT AND INTERNET OF THINGS SYSTEM THEREOF

Organization Name

CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.

Inventor(s)

Zehua Shao of Chengdu (CN)

Haitang Xiang of Chengdu (CN)

Yaqiang Quan of Chengdu (CN)

Yong Li of Chengdu (CN)

Xiaojun Wei of Chengdu (CN)

METHOD FOR DETERMINING ODORIZATION PARAMETERS OF SMART GAS DEVICE MANAGEMENT AND INTERNET OF THINGS SYSTEM THEREOF - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240035626 titled 'METHOD FOR DETERMINING ODORIZATION PARAMETERS OF SMART GAS DEVICE MANAGEMENT AND INTERNET OF THINGS SYSTEM THEREOF

Simplified Explanation

The embodiments of this patent application provide a method and internet of things (IoT) system for determining odorization parameters of smart gas device management. The method involves obtaining gas data of a first gas sample at a first position of a smart gas pipeline network, odorizing at a second position of the smart gas pipeline network based on the odorization parameters, obtaining inspection data of a second gas sample at a third position of the smart gas pipeline network, and sending the inspection data to the smart gas pipeline network device parameter management sub-platform for analysis and processing. The method further includes obtaining a target odorization concentration and determining target odorization parameters, updating the odorization parameters based on the target odorization parameters, and sending the updated odorization parameters to the smart gas data center. Finally, odorizing is performed at the second position of the smart gas pipeline network based on the updated odorization parameters.

  • The method involves obtaining gas data at one position of a smart gas pipeline network and using it to determine odorization parameters for odorizing gas at another position in the network.
  • Inspection data of a gas sample is obtained at a different position in the network and sent for analysis and processing.
  • Target odorization concentration is determined and used to determine target odorization parameters.
  • The odorization parameters are updated based on the target odorization parameters and sent to the smart gas data center.
  • Odorizing is performed at the second position of the smart gas pipeline network based on the updated odorization parameters.

Potential applications of this technology:

  • Gas pipeline network management: This technology can be used to efficiently manage and control the odorization of gas in a smart gas pipeline network.
  • Safety enhancement: By accurately determining and updating odorization parameters, the technology can help ensure that gas leaks are quickly detected and addressed, enhancing safety in gas pipeline networks.

Problems solved by this technology:

  • Inefficient odorization: Traditional methods of odorizing gas in pipeline networks may not be efficient or accurate. This technology provides a method for determining and updating odorization parameters based on gas data and inspection data, improving the efficiency and accuracy of odorization.
  • Safety risks: Gas leaks can pose significant safety risks. By accurately odorizing gas and promptly detecting leaks, this technology helps mitigate safety risks associated with gas pipeline networks.

Benefits of this technology:

  • Improved accuracy: By analyzing gas data and inspection data, this technology enables the determination and updating of odorization parameters with greater accuracy.
  • Enhanced safety: The accurate odorization of gas and prompt detection of leaks contribute to enhanced safety in gas pipeline networks.
  • Efficient management: The IoT system and method provided by this technology enable efficient management of odorization parameters and gas pipeline networks.


Original Abstract Submitted

the embodiments of the present disclosure provide method and internet of things system for determining odorization parameters of smart gas device management. the method may include obtaining gas data of a first gas sample at a first position of a smart gas pipeline network, odorizing at a second position of the smart gas pipeline network based on the odorization parameters, obtaining inspection data of a second gas sample at a third position of the smart gas pipeline network, and sending the inspection data to the smart gas pipeline network device parameter management sub-platform for analysis and processing, obtaining a target odorization concentration, and determining target odorization parameters, updating the odorization parameters based on the target odorization parameters, and send updated odorization parameters to the smart gas data center, and odorizing, based on the updated odorization parameters, at the second position of the smart gas pipeline network.