US 11,966,208 B2
Methods and systems for greenspace cultivation and management in smart cities based on Internet of Things
Zehua Shao, Chengdu (CN); Yaqiang Quan, Chengdu (CN); Junyan Zhou, Chengdu (CN); Bin Liu, 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 Apr. 2, 2023, as Appl. No. 18/194,650.
Application 18/194,650 is a continuation of application No. 17/818,981, filed on Aug. 11, 2022, granted, now 11,693,380.
Claims priority of application No. 202210813721.9 (CN), filed on Jul. 12, 2022.
Prior Publication US 2023/0251617 A1, Aug. 10, 2023
Int. Cl. G05B 19/042 (2006.01)
CPC G05B 19/042 (2013.01) [G05B 2219/2625 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A method for greenspace cultivation and management in a smart city based on an Internet of Things, wherein the method is performed by an urban management platform, comprising:
obtaining historical monitoring information of a plurality of greenspaces in a target area within a historical time period from an urban monitoring object platform through a sensor network platform;
determining historical growth information of the plurality of greenspaces within the historical time period based on the historical monitoring information of the plurality of greenspaces, wherein the historical growth information is represented through a historical growth score, and the historical growth score is determined by a process including: determining historical growth scores of the plurality of greenspaces within the historical time period through processing the historical monitoring information based on an image recognition model, wherein the image recognition model is a machine learning model including a first feature extraction layer and a score determination layer connected in sequence, the feature extraction layer is used to determine a historical image feature vector of the each qreenspace within the historical time period through processing the historical monitoring information of the each greenspace within the historical time period, and score determination layer is used to determine historical growth score of the each qreenspace within the historical time period through processing the historical image feature vector of the each greenspace within the historical time period;
determining target irrigation parameters of each greenspace within a first future time period based on the historical growth information, comprising:
obtaining a preset total amount of irrigation in the target area within the first future time period;
determining a plurality of candidate irrigation schemes of the plurality of greenspaces based on the preset total amount of irrigation and the first growth information corresponding to the each greenspace, wherein each candidate irrigation scheme includes a set of candidate irrigation parameters for irrigating the each greenspace;
determining a target irrigation scheme through performing at least one round of iterative update on the plurality of candidate irrigation schemes, wherein the target irrigation scheme includes a set of the target irrigation parameters for irrigating the each greenspace within the first future time period, wherein the determining a target irrigation scheme through performing at least one round of iterative update on the plurality of candidate irrigation schemes includes:
determining growth promotion values of based on each iteratively updated candidate irrigation scheme, wherein a growth promotion value of the target irrigation scheme is a maximum value of the growth promotion values of the plurality of candidate irrigation schemes updated in previous iterative updates, and a total amount of water used by the candidate irrigation parameters of each greenspace of the each candidate irrigation scheme is not exceed the preset total amount of irrigation;
generating an irrigation control instruction for the each greenspace based on the target irrigation parameters; and
sending the irrigation control instruction to an irrigation object platform through the sensor network platform, and irrigating, by the irrigation object platform, the each greenspace in response to the irrigation control instruction.