US 12,230,116 B2
Method and system for generating flood early warning information in smart city 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 Jun. 9, 2023, as Appl. No. 18/332,694.
Application 18/332,694 is a continuation of application No. 17/810,647, filed on Jul. 5, 2022, granted, now 11,721,191.
Claims priority of application No. 202210527176.7 (CN), filed on May 16, 2022.
Prior Publication US 2023/0326321 A1, Oct. 12, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G08B 21/10 (2006.01)
CPC G08B 21/10 (2013.01) 18 Claims
OG exemplary drawing
 
1. A method for generating flood early warning information in smart city based on an Internet of Things (IoT), comprising: obtaining precipitation information of a target area within a target time period through a meteorological management platform, and obtaining road ponding information of each road in the target area; obtaining environmental information of each road in the target area through a geographic information system; obtaining drainage capacity information of the target area through a water affairs platform; and determining the flood early warning information based on the precipitation information, the drainage capacity information, the road ponding information, and the environmental information, wherein the flood early warning information includes a first flood early warning information and a third flood early warning information; wherein the determining the flood early warning information based on the precipitation information, the drainage capacity information, the road ponding information, and the environmental information includes: determining regional ponding information of the target area within the target time period based on the precipitation information and the drainage capacity information; determining road damage information of each road within the target time period based on the road ponding information and the environmental information; generating the first flood early warning information of the target area based on the regional ponding information; and generating the third flood early warning information of the target area based on the road damage information of each road in the target area.