US 12,007,751 B2
Methods for smart gas data management, internet of things systems, and storage media
Zehua Shao, Chengdu (CN); Yong Li, Chengdu (CN); and Yaqiang Quan, Chengdu (CN)
Assigned to CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Chengdu (CN)
Filed by CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Sichuan (CN)
Filed on Sep. 3, 2023, as Appl. No. 18/460,554.
Claims priority of application No. 202311002442.5 (CN), filed on Aug. 10, 2023.
Prior Publication US 2023/0409008 A1, Dec. 21, 2023
Int. Cl. G05B 19/4155 (2006.01)
CPC G05B 19/4155 (2013.01) [G05B 2219/41108 (2013.01)] 7 Claims
OG exemplary drawing
 
1. A method for smart gas data management implemented by a smart gas management platform of an Internet of Things (IoT) system for smart gas data management, comprising:
obtaining at least one type of raw gas data uploaded by at least one platform in the IoT system, wherein the raw gas data includes at least one of gas transportation data, gas pipeline data, and gas equipment data;
evaluating a time reliability and a data reliability of the at least one type of the raw gas data; wherein evaluating the time reliability of the at least one type of the raw gas data includes:
calculating collection time characteristics of the raw gas data based on a collection time stamp when the raw gas data is collected; and
evaluating the time reliability of the raw gas data based on the collection time characteristics; and
the evaluating the time reliability of the at least one type of the raw gas data further includes:
dividing the raw gas data into interval gas data corresponding to a plurality of time intervals based on a sliding interval length and a preset step size:
evaluating collection time characteristics of interval gas data within each time interval and determining a time reliability of the interval gas data within the each time interval; and
determining the time reliability of the raw gas data based on the time reliability of the interval gas data within the each time interval; and wherein
evaluating the data reliability of the at least one type of the raw gas data includes:
determining sampling characteristics of the raw gas data based on gas importance of the raw gas data, the gas importance being related to at least one of gas data types, collection platforms for the gas data, or a localized network complexity of a gas network in which the gas data is located;
determining at least one set of gas sampling data of the raw gas data by sampling the raw gas data based on the sampling characteristics; and
evaluating the data reliability of the raw gas data based on the at least one set of gas sampling data; and
generating at least one storage instruction based on the time reliability and the data reliability of the at least one type of the raw gas data to store the raw gas data in a corresponding data storage area.