US 12,149,875 B2
Method for parameter adjustment of liquefied natural gas (LNG) distributed terminal based on internet of things (IOT) and system
Lin Fu, Chengdu (CN)
Assigned to CHENGDU JIUGUAN SMART ENERGY TECHNOLOGY CO., LTD., Chengdu (CN)
Filed by CHENGDU PUHUIDAO SMART ENERGY TECHNOLOGY CO., LTD., Sichuan (CN)
Filed on Oct. 11, 2023, as Appl. No. 18/485,306.
Application 18/485,306 is a continuation of application No. 18/327,870, filed on Jun. 1, 2023, granted, now 11,838,704.
Claims priority of application No. 202210635737.5 (CN), filed on Jun. 7, 2022; and application No. 202310476076.0 (CN), filed on Apr. 28, 2023.
Prior Publication US 2024/0040286 A1, Feb. 1, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04Q 9/00 (2006.01); G16Y 10/35 (2020.01)
CPC H04Q 9/00 (2013.01) [G16Y 10/35 (2020.01); H04Q 2209/60 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method for parameter adjustment of a liquefied natural gas (LNG) distributed terminal based on Internet of Things (IoT) system, implemented by the IoT system for the parameter adjustment of the liquefied natural gas (LNG) distributed terminal, comprising:
based on at least one transmission node on a transmission link of the system, obtaining terminal information of at least one set of terminals and transmission status information of the at least one transmission node;
wherein the at least one set of terminals are LNG smart gas supply terminals;
in response to the transmission status information satisfying a preset status condition, predicting a malfunction risk coefficient of the at least one set of terminals et at least one set of future time points based on the terminal information, an environmental parameter, and terminal transmission information of the at least one set of terminals, wherein the malfunction risk coefficient includes at least one of a cold fog risk coefficient, an electrical risk coefficient, and a structural risk coefficient; and
based on the malfunction risk coefficient and in combination with a device parameter of the at least one set of terminals, judging whether to adjust a control parameter of the at least one set of terminals in advance, wherein the device parameter includes at least one of a cold energy utilization device parameter, an electrical device parameter, and a mechanical component parameter;
wherein the system includes a user platform, a service platform, a terminal management platform, a sensing network platform, and a terminal object platform connected in sequence, wherein
the terminal object platform includes an LNG smart gas supply terminal and a smart gas meter,
through the sensing network platform, relevant information of the LNG smart gas supply terminal and relevant information of the smart gas meter are obtained and uploaded to the terminal management platform arranged in a cluster, respectively,
the service platform sends an instruction to the terminal management platform via an asynchronous interaction and stores communication information via redis according to a request of the user platform,
the terminal management platform performs information management on the sensing network platform and the terminal object platform according to the instruction sent by the service platform;
the sensing network platform is connected to access points of the LNG smart gas supply terminal and the smart gas meter, respectively,
operating the transmission status information and a location information of the LNG smart gas supply terminal, the terminal information, the environmental parameter, and the terminal transmission information are transmitted through the sensing network platform to the terminal management platform;
operating the transmission status information, a malfunction information, and a gas consumption volume information of the smart gas meter are transmitted to the terminal management platform through the sensing network platform; and
the terminal management platform includes an information processing module, the information processing module is configured to determine whether the transmission status information of the at least one transmission node satisfies the preset status condition based on the system, and in response to the transmission status information satisfying the preset status condition, determine whether a terminal abnormality occurs according to the terminal information, the environmental parameter, and the terminal transmission information of the at least one set of terminals.