US 12,284,738 B2
Method and system for parameter adjustment of street lamps in smart city based on Internet of Things
Zehua Shao, Chengdu (CN); Yong Li, Chengdu (CN); Yongzeng Liang, Chengdu (CN); Xiaojun Wei, Chengdu (CN); and Zhihui Wen, 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. 7, 2023, as Appl. No. 18/463,274.
Application 18/463,274 is a continuation of application No. 18/049,616, filed on Oct. 25, 2022, granted, now 11,800,621.
Claims priority of application No. 202211195298.7 (CN), filed on Sep. 29, 2022.
Prior Publication US 2023/0422379 A1, Dec. 28, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H05B 47/11 (2020.01); H05B 47/125 (2020.01)
CPC H05B 47/11 (2020.01) [H05B 47/125 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A method for parameter adjustment of street lamps in a smart city based on an Internet of Things (IoT), wherein the method is realized by a system for parameter adjustment of street lamps in the smart city based on the IoT, the system for parameter adjustment of street lamps in the smart city based on the IoT includes a user platform, a service platform, a management platform, a sensor network platform and an object platform, the method is executed by the management platform, comprising:
issuing a data acquisition instruction to receive road images acquired by the object platform through the sensor network platform, and the object platform including a first sensor;
issuing a parameter determination instruction to determine irradiation intensities of the street lamps on a road based on the road images;
acquiring navigation routes of vehicles by communicating with navigation systems of the vehicles;
determining road segments where the vehicles are coming and estimated times when the vehicles arrive at the road segments based on the navigation routes; and
adjusting the irradiation intensities of the street lamps at the road segments in a preset time in advance according to the estimated times.