US 12,230,962 B2
Methods and systems for power-supply management in smart urban based on internet of things
Zehua Shao, Chengdu (CN); Yong Li, Chengdu (CN); Bin Liu, Chengdu (CN); Yaqiang Quan, Chengdu (CN); and Yongzeng Liang, Chengdu (CN)
Assigned to CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Chengdu (CN)
Filed by CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD., Sichuan (CN)
Filed on May 12, 2022, as Appl. No. 17/663,210.
Prior Publication US 2023/0369857 A1, Nov. 16, 2023
Int. Cl. H02J 3/00 (2006.01); H02J 3/14 (2006.01)
CPC H02J 3/004 (2020.01) [H02J 3/144 (2020.01)] 11 Claims
OG exemplary drawing
 
1. A method of power-supply management in a smart urban based on Internet of things (IoT), performed by an urban power-supply management platform of a system for power-supply management in the smart urban based on IoT, wherein the system is a part of a processing device or implemented by the processing device; and the system further comprises a sensor network platform and an object platform, wherein
the urban power-supply management platform realize overall planning and coordination of connection and cooperation between various functional platforms; and the urban power-supply management platform gathers information of an operating system of the IoT, and provides perceptual management and control management functions for the operation system of the IoT;
the sensor network platform connects the urban power-supply management platform and the object platform, and plays functions of perceptual information sensing communication and control information sensing communication; and the sensor network platform is configured as a sensor network management server;
the object platform is a functional platform for performing perceptual information generation and control information; the sensor network platform communicates with the object platform, wherein the object platform is configured as a collection terminal and configured to obtain second power-generation data, and the collection terminal includes an intelligent meter or an energy router; wherein the smart meter is configured to collect self-power-generation data from each residential user, and the energy router is configured to collect self-power-generation data from multiple residential users in one or more communities;
the method comprising:
obtaining first power-generation data by the urban power-supply management platform communicating with the sensor network platform, wherein the first power-generation data is determined by summarizing the second power-generation data through network communication between the sensor network platform and the collection terminal, and the second power-generation data is residential self-power-generation data; wherein the second power-generation data is obtained from the collection terminal by the sensor network platform; wherein the first power-generation data is determined based on a process including:
sending, by the urban power-supply management platform, division of power generation modes and distribution information of power generation modes to the sensor network platform; determining, by the sensor network platform, the collection terminal according to the division of power generation modes; sub-dividing, by the urban power-supply management platform, area information according to dividing areas of the sensor network platform, sending a sub-division result to the sensor network platform, and determining, by the sensor network platform, the first power-generation data according to the sub-division result;
determining, by a first prediction model, a power-supply prediction based on the first power-generation data and environmental data; wherein
the first power-generation data includes at least one of first distribution information and second distribution information of the residential self-power-generation data, wherein the first distribution information includes distribution information according to power-generation mode, and the second distribution information includes distribution information according to time; and
the environmental data includes weather forecast data and traffic flow data; wherein the environmental data is obtained from the storage device or through invoking weather API by the urban power-supply management platform; and
transmitting, by the urban power-supply management platform, the power-supply prediction to a power-supply company through the sensor network platform; and
adjusting, by the power-supply company, power supply of different areas based on the power-supply prediction.