CN-121984985-A - Intelligent flower box control method, device, equipment, storage medium and product

CN121984985ACN 121984985 ACN121984985 ACN 121984985ACN-121984985-A

Abstract

The application discloses an intelligent flower box control method, device, equipment, storage medium and product, wherein the method comprises the steps of obtaining image data, environment real-time data and environment prediction data of a flower box, and predicting the future state of the flower box by adopting a digital twin technology; determining whether to perform group collaborative allocation of the flower boxes according to the future states of the flower boxes, if not, generating a regulation strategy of the flower boxes according to the respective future states of the flower boxes, if so, constructing a graph network by taking each flower box as a node, and performing resource collaborative allocation of the flower box group according to the resource information of each flower box to obtain the regulation strategy of the flower boxes so as to control the intelligent flower boxes according to the regulation strategy. The application can improve the overall resource utilization efficiency and the intelligent level of the flower box.

Inventors

XU CE
CHEN QITING
Pi Hao
CAI YANG

Assignees

广州市城市规划勘测设计研究院有限公司

Dates

Publication Date: 20260505
Application Date: 20251203

Claims (10)

1. The intelligent flower box control method is characterized by comprising the following steps of: acquiring image data, environment real-time data and environment prediction data of a flower box; Predicting the future state of the flower box by adopting a digital twin technology according to the image data, the environment real-time data and the environment prediction data; determining whether the group cooperative allocation of the flower box is needed according to the future state of the flower box; if not, each flower box generates a regulation strategy of the flower box according to the respective future state; If yes, each flower box is used as a node to construct a graph network, and the resource collaborative allocation of the flower box group is carried out according to the resource information of each flower box, so that the regulation strategy of the flower box is obtained, and the intelligent flower box is controlled according to the regulation strategy.
2. The intelligent flower box control method according to claim 1, wherein the predicting the future state of the flower box using digital twin technology based on the image data, the environmental real-time data, and the environmental prediction data comprises: extracting plant state characteristics of the flower box by adopting an image recognition algorithm according to the image data; Based on a digital twin engine with a plant growth model, according to the environment real-time data, the plant state characteristics and the environment prediction data, the current state of the flower box is taken as an initial condition, and the prediction simulation is carried out on the environment evolution of the flower box in a future period of time, so that the future state of the flower box is obtained.
3. The intelligent flower box control method of claim 1, wherein the determining whether the group collaborative allocation of flower boxes is required according to the future state of the flower boxes comprises: Determining task requirements of the flower box according to the future state of the flower box; And acquiring the resource capacity of the flower boxes, and judging that the group cooperative allocation of the flower boxes is needed when the resource capacity of any flower box cannot meet the corresponding task requirement, wherein the resource capacity comprises at least one of the flower box power supply capacity, irrigation water resource, light supplementing capacity and fertilizer application capacity.
4. The intelligent flower box control method according to claim 1, wherein the performing the resource collaborative allocation of the flower box group according to the resource information of each flower box comprises: Based on the task demands of the flower boxes, adopting a distributed constraint satisfaction algorithm or a distributed auction algorithm to carry out resource collaborative optimization among the flower boxes according to the resource capacity of each flower box, and obtaining an optimized regulation strategy of each flower box; The distributed auction algorithm abstracts the task demands into auction items, takes resource demand parties in flower boxes as auction players, takes resource rich parties as auction players, and obtains a regulation strategy by selecting optimal bids and distributing resources by the auction players after multiple rounds of bidding by the auction players.
5. The intelligent flower box control method of claim 1, wherein the method further comprises: Acquiring the residual electric quantity of the flower box, the instant power generation power and the predicted power generation power of the solar panel, and the energy consumption and task priority of each execution task; Determining a total power budget according to the residual electric quantity, the instant power generation power and the predicted power generation power; And optimizing resource allocation by adopting a multi-objective optimization algorithm based on the total power budget, the energy consumption of each execution task and the task priority, and generating a task scheduling scheme to dynamically schedule energy.
6. The intelligent flower box control method according to claim 5, wherein in the multi-objective optimization algorithm, maximum energy source feed rate, maximum system stability and maximum task utility are taken as objective functions, decision variables comprise distributed power of each load for executing tasks, work duty cycle and task execution time, and constraint conditions of the objective functions comprise battery safety constraint, power hardware constraint, system survivability constraint and task completion degree constraint.
7. An intelligent flower box control device, which is characterized by comprising: the data acquisition module is used for acquiring image data, environment real-time data and environment prediction data of the flower box; The state prediction module is used for predicting the future state of the flower box by adopting a digital twin technology according to the image data, the environment real-time data and the environment prediction data; The intelligent flower box control system comprises a flower box control module, a control strategy generation module and a control strategy generation module, wherein the flower box control module is used for determining whether the group cooperative allocation of the flower box is needed according to the future state of the flower box, if not, each flower box generates the control strategy of the flower box according to the respective future state, if so, each flower box is used as a node to construct a graph network, and the resource cooperative allocation of the flower box group is carried out according to the resource information of each flower box, so that the control strategy of the flower box is obtained, and the intelligent flower box is controlled according to the control strategy.
8. A computer device comprising a processor and a memory, the memory having a computer program stored therein and the computer program being configured to be executed by the processor, the processor implementing the intelligent flower box control method according to any one of claims 1 to 6 when the computer program is executed by the processor.
9. A computer readable storage medium, wherein the computer readable storage medium stores a computer program, and wherein the intelligent flower box control method according to any one of claims 1 to 6 is implemented when the computer program is executed by a device in which the computer readable storage medium is located.
10. A computer program product comprising a computer program which, when executed by a processor, implements the intelligent flower box control method according to any one of claims 1 to 6.

Description

Intelligent flower box control method, device, equipment, storage medium and product Technical Field The application relates to the technical field of intelligent gardening equipment, in particular to an intelligent flower box control method, an intelligent flower box control device, intelligent flower box control equipment, an intelligent flower box storage medium and an intelligent flower box product. Background The existing intelligent flower box technology is mainly focused on the improvement of realizing single functions such as automatic irrigation, solar power supply, illumination compensation and the like, and a single flower box is mostly used as a control unit, and basic environment parameters required by plant growth are maintained by adopting local sensing and regular or simple feedback control. Although these schemes achieve a certain effect in terms of improving the maintenance efficiency of the monomers and reducing the manual intervention, there are a plurality of limitations that on one hand, the traditional system lacks the prediction capability of future environmental changes and the preventive regulation means based on prediction, and on the other hand, there is almost no collaborative decision and resource sharing mechanism between flower box groups, and the system-level optimal configuration of limited resources such as water, fertilizer, energy and the like cannot be realized, for example, when a certain flower box is lack of water and the water quantity of adjacent flower boxes is excessive, the system cannot finish the redistribution of resources across the monomers, so that the overall utilization rate of the resources is lower. Disclosure of Invention In order to solve the technical problems, the application provides an intelligent flower box control method, device, equipment, storage medium and product, which can be used for carrying out collaborative allocation of flower box groups by combining the future state of the flower box, and effectively improve the resource utilization efficiency and the intelligent level of a flower box system. The application provides an intelligent flower box control method, which comprises the following steps: acquiring image data, environment real-time data and environment prediction data of a flower box; Predicting the future state of the flower box by adopting a digital twin technology according to the image data, the environment real-time data and the environment prediction data; determining whether the group cooperative allocation of the flower box is needed according to the future state of the flower box; if not, each flower box generates a regulation strategy of the flower box according to the respective future state; If yes, each flower box is used as a node to construct a graph network, and the resource collaborative allocation of the flower box group is carried out according to the resource information of each flower box, so that the regulation strategy of the flower box is obtained, and the intelligent flower box is controlled according to the regulation strategy. As an improvement of the above solution, the predicting the future state of the flower box according to the image data, the environmental real-time data and the environmental prediction data by using a digital twin technology includes: extracting plant state characteristics of the flower box by adopting an image recognition algorithm according to the image data; Based on a digital twin engine with a plant growth model, according to the environment real-time data, the plant state characteristics and the environment prediction data, the current state of the flower box is taken as an initial condition, and the prediction simulation is carried out on the environment evolution of the flower box in a future period of time, so that the future state of the flower box is obtained. As an improvement of the above solution, the determining whether to perform the group collaborative allocation of the flower box according to the future state of the flower box includes: Determining task requirements of the flower box according to the future state of the flower box; And acquiring the resource capacity of the flower boxes, and judging that the group cooperative allocation of the flower boxes is needed when the resource capacity of any flower box cannot meet the corresponding task requirement, wherein the resource capacity comprises at least one of the flower box power supply capacity, irrigation water resource, light supplementing capacity and fertilizer application capacity. As an improvement of the scheme, the resource collaborative allocation of the flower box group is carried out according to the resource information of each flower box, and the method comprises the following steps: Based on the task demands of the flower boxes, adopting a distributed constraint satisfaction algorithm or a distributed auction algorithm to carry out resource collaborative optimization among the flower boxes ac