View source for CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD. (20240280387). METHOD AND SYSTEM FOR PREDICTING ACCURACY RISK OF SMART GAS METER BASED ON INTERNET OF THINGS (IOT) simplified abstract

=METHOD AND SYSTEM FOR PREDICTING ACCURACY RISK OF SMART GAS METER BASED ON INTERNET OF THINGS (IOT)=


==Organization Name==

[[:Category:CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.|CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.]]


[[Category:CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.]]

==Inventor(s)==

[[:Category:Zehua Shao of Chengdu (CN)|Zehua Shao of Chengdu (CN)]][[Category:Zehua Shao of Chengdu (CN)]]

[[:Category:Junyan Zhou of Chengdu (CN)|Junyan Zhou of Chengdu (CN)]][[Category:Junyan Zhou of Chengdu (CN)]]

[[:Category:Bin Liu of Chengdu (CN)|Bin Liu of Chengdu (CN)]][[Category:Bin Liu of Chengdu (CN)]]

==METHOD AND SYSTEM FOR PREDICTING ACCURACY RISK OF SMART GAS METER BASED ON INTERNET OF THINGS (IOT) - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240280387 titled 'METHOD AND SYSTEM FOR PREDICTING ACCURACY RISK OF SMART GAS METER BASED ON INTERNET OF THINGS (IOT)

'''Simplified Explanation:'''
The patent application describes a method and system for predicting the accuracy risk of a smart gas meter using Internet of Things (IoT) technology.

* Acquiring gas attribute data from a distributed sensor in a gas pipeline network.
* Determining the accuracy risk of the metering device through pre-diagnosis.
* Constructing an accuracy diagnosis map for metering devices in a gas area.
* Determining the second accuracy risk of the metering device based on the accuracy diagnosis map.
* Displaying detection indication information to a smart gas device management platform.

'''Key Features and Innovation:'''
- Utilizes IoT technology for predicting accuracy risk of smart gas meters.
- Incorporates distributed sensors in gas pipeline networks.
- Performs pre-diagnosis on metering devices to determine accuracy risk.
- Constructs accuracy diagnosis maps for gas areas.
- Displays detection indication information to a smart gas device management platform.

'''Potential Applications:'''
This technology can be applied in the gas industry for monitoring and managing the accuracy of smart gas meters in real-time.

'''Problems Solved:'''
- Helps in predicting accuracy risks of smart gas meters.
- Enables proactive maintenance of metering devices.
- Improves overall efficiency and accuracy of gas metering systems.

'''Benefits:'''
- Enhances the reliability of gas metering systems.
- Reduces the likelihood of inaccuracies in gas measurements.
- Enables timely maintenance and repairs of metering devices.

'''Commercial Applications:'''
Smart gas meter manufacturers, gas utility companies, and IoT solution providers can benefit from this technology by offering more accurate and reliable gas metering solutions to customers.

'''Questions about Smart Gas Meter Accuracy Prediction:'''
1. How does the use of IoT technology improve the accuracy prediction of smart gas meters?
2. What are the potential implications of inaccurate gas meter readings in the gas industry?


==Original Abstract Submitted==

embodiments of the present disclosure provide a method and a system for predicting an accuracy risk of a smart gas meter based on internet of things (iot). the method includes: acquiring gas attribute data of gas passing through a metering device based on a distributed sensor deployed in a gas pipeline network; determining a first accuracy risk of the metering device through performing pre-diagnosis on the metering device; in response to the first accuracy risk of at least one metering device satisfying a preset risk condition, constructing an accuracy diagnosis map based on metering devices in a gas area; determining, based on the accuracy diagnosis map, a second accuracy risk of the at least one metering device in the gas area through a pipeline network diagnosis model; and displaying detection indication information to a smart gas device management platform based on the second accuracy risk and a risk threshold.



[[Category:G01D18/00]]
[[Category:G16Y10/35]]
[[Category:G16Y40/10]]
[[Category:G16Y40/20]]
[[Category:CPC_G01D18/00]]