Plant cultivation system and method with aeroponic cultivation function

Abstract

The invention relates to the technical field of soilless culture, and particularly discloses a plant cultivation system and method with an aeroponic cultivation function, and the system comprises an obtaining module which obtains aeroponic cultivation plant data and historical aeroponic cultivation data of each closed cultivation groove; the parameter module is used for determining historical target-stage aeroponic cultivation data, an environment parameter set and a nutrient solution parameter set of each historical growth stage of each aeroponic cultivation target of the aeroponic cultivation plants in each closed cultivation tank; the determination module is used for determining real-time aeroponic cultivation data and the real-time growth stage and target aeroponic cultivation data of each closed cultivation tank; the regulation and control module is used for determining out-tank environment regulation data and in-tank environment regulation data and nutrient solution regulation data of each closed cultivation tank and carrying out regulation and control. Linkage and accurate matching of three-layer regulation and control can be achieved, the environment outside the tank and the nutrient solution inside the tank are adjusted in a personalized mode, the cultivation efficiency and the plant quality are improved, systematicness and adaptability of regulation and control are improved, and the plant growth environment and nutrient supply are guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of soilless culture, in particular to a plant cultivation system and method with a hydroponic function. BACKGROUND

[0002] Hydroponic technology originated in the 1940s. Carter of the United States first placed plant roots in the air for observation. In 1944, LJ. Klotz discovered that plant roots could grow in a water vapor environment. Subsequently, the United States proposed an air hydroponic culture system. In 1996, the National Aeronautics and Space Administration of the United States launched a study on the growth characteristics of plants in space. In 1999, the air hydroponic culture system was improved. Early hydroponic systems relied on simple sensors and manual experience for control, which was difficult to accurately meet the needs of plants in different growth stages. With the development of science and technology, although improvements have been made, there are still problems such as inaccurate judgment of plant growth stages and lack of targeted parameter adjustment. Currently, how to more accurately adjust the hydroponic environment parameters according to the plant growth stage and variety has become a research focus.

[0003] Therefore, the present application provides a plant cultivation system and method with a hydroponic function. SUMMARY

[0004] The present application provides a plant cultivation system and method with a hydroponic function. By obtaining hydroponic plant data of each closed cultivation tank, historical hydroponic data of the hydroponic plant of each closed cultivation tank, historical target-stage hydroponic data of each historical growth stage of each hydroponic target of the hydroponic plant of each closed cultivation tank, an environmental parameter set and a nutrient solution parameter set, real-time hydroponic data, real-time growth stage of each closed cultivation tank, target hydroponic data are determined, and tank external environment adjustment data, tank internal environment adjustment data of each closed cultivation tank, and nutrient solution adjustment data are determined and adjusted. The plant growth stage can be determined in real time, the linkage and accurate matching of three-layer adjustment are realized, the limitations of traditional isolated adjustment are broken through, the overall and individual needs are considered, the tank internal environment and nutrient solution are adjusted individually while the tank external environment is adjusted, the cultivation efficiency and plant quality are improved, the resource consumption and labor cost are reduced, the system and adaptability of the adjustment are improved, and the optimal state of the plant growth environment and nutrient supply is ensured.

[0005] The present application provides a plant cultivation system with a hydroponic function, comprising: An acquisition module is configured to obtain hydroponic plant data of each closed cultivation tank, and based on the hydroponic plant data of each closed cultivation tank, obtain historical hydroponic data of the hydroponic plant of each closed cultivation tank. A parameter module is configured to determine, based on the historical hydroponic data of each closed cultivation tank, historical target-stage hydroponic data of each historical growth stage of each hydroponic target of the hydroponic plant of each closed cultivation tank, an environmental parameter set and a nutrient solution parameter set. determining module: determining real-time growth stage, target hydroponic data of each closed cultivation tank and real-time hydroponic data based on hydroponic plant data of each closed cultivation tank, historical target-stage hydroponic data of all hydroponic targets of the hydroponic plant, the set of environmental parameters and the set of nutrient solution parameters; regulating module: determining tank-outside environmental adjustment data and tank-inside environmental adjustment data of each closed cultivation tank, nutrient solution adjustment data and regulating based on target hydroponic data and real-time hydroponic data of each closed cultivation tank.

[0006] Preferably, a plant cultivation system with hydroponic function, the acquisition module comprises: hydroponic plant data unit: acquiring hydroponic plant data of each closed cultivation tank, wherein the hydroponic plant data comprises a hydroponic plant, plant growth data and a hydroponic target, the plant growth data comprises a plurality of growth parameters, growth parameter values of each growth parameter and parameter labels, and the parameter labels comprise morphological parameters, physiological parameters and health parameters; historical hydroponic data unit: acquiring historical hydroponic data of the hydroponic plant of each closed cultivation tank based on the hydroponic plant in the hydroponic plant data of each closed cultivation tank, wherein the historical hydroponic data comprises historical hydroponic sub-data of multiple historical hydroponics of the hydroponic plant of the closed cultivation tank, the historical hydroponic sub-data comprises a hydroponic target, historical nutrient solution data of multiple historical growth stages, historical environmental data and historical growth data, the historical nutrient solution data comprises a plurality of nutrient solution parameters and historical nutrient solution values of each nutrient solution parameter, the historical environmental data comprises a plurality of environmental parameters and historical environmental values of each environmental parameter, and the historical growth data comprises a plurality of growth parameters and historical growth values of each growth parameter.

[0007] Preferably, a plant cultivation system with hydroponic function, the parameter module comprises: historical target cultivation data unit: classifying the historical hydroponic data based on the hydroponic target in all historical hydroponic sub-data of the historical hydroponic data of the hydroponic plant of each closed cultivation tank, and determining historical target cultivation data of a plurality of hydroponic targets of the hydroponic plant of each closed cultivation tank, wherein the historical target cultivation data comprises a plurality of historical hydroponic sub-data; first classification unit: classifying each historical hydroponic sub-data based on the historical growth stage in each historical hydroponic sub-data of the historical target cultivation data of each hydroponic target of the hydroponic plant of each closed cultivation tank, and determining historical hydroponic growth data of a plurality of historical growth stages of each historical hydroponic sub-data in the historical target cultivation data of each hydroponic target of the hydroponic plant of each closed cultivation tank, wherein the historical hydroponic growth data comprises historical nutrient solution data, historical environmental data and historical growth data; history target-stage fogging data of each historical growth stage of each fogging target of each fogging plant of each closed cultivation tank is determined based on historical fogging growth data of all historical fogging sub-data in historical target cultivation data of each fogging target of each fogging plant of each closed cultivation tank, wherein the historical fogging growth data comprises a plurality of historical fogging growth data.

[0008] Preferably, the plant cultivation system with fogging function, the parameter module further comprises: The environment-growth causal model unit takes the historical environment data in all historical fogging growth data of the historical target-stage fogging data of each historical growth stage of each fogging target of each fogging plant of each closed cultivation tank as input of the environment-growth causal model, takes the historical growth data in all historical fogging growth data of the historical target-stage fogging data of each historical growth stage of each fogging target of each fogging plant of each closed cultivation tank as output of the environment-growth causal model, and constructs the environment-growth causal model of each historical growth stage of each fogging target of each fogging plant of each closed cultivation tank. The environment parameter set unit determines the environment parameter set of each historical growth stage of each fogging target of each fogging plant of each closed cultivation tank and the target environment parameter value and weight of each environment parameter in the environment parameter set based on the environment-growth causal model of each historical growth stage of each fogging target of each fogging plant of each closed cultivation tank. The nutrient solution-growth causal model unit takes the historical nutrient solution data in all historical fogging growth data of the historical target-stage fogging data of each historical growth stage of each fogging target of each fogging plant of each closed cultivation tank as input of the nutrient solution-growth causal model, takes the historical growth data in all historical fogging growth data of the historical target-stage fogging data of each historical growth stage of each fogging target of each fogging plant of each closed cultivation tank as output of the nutrient solution-growth causal model, and constructs the nutrient solution-growth causal model of each historical growth stage of each fogging target of each fogging plant of each closed cultivation tank. The nutrient solution parameter set unit determines the nutrient solution parameter set of each historical growth stage of each fogging target of each fogging plant of each closed cultivation tank and the target nutrient solution parameter value of each nutrient solution parameter in the nutrient solution parameter set based on the nutrient solution-growth causal model of each historical growth stage of each fogging target of each fogging plant of each closed cultivation tank.

[0009] Preferably, the plant cultivation system with fogging function, the determination module comprises: The stage recognition model unit: taking the historical growth data in all the historical fogging target-stage fogging data of all the historical growth stages of each fogging target of the fogging plant of each closed cultivation tank as the input of the stage recognition model, taking all the historical growth stages of each fogging target of the fogging plant of each closed cultivation tank as the output of the stage recognition model, and constructing the stage recognition model; The second classification unit: classifying all the growth parameters in the plant growth data of each closed cultivation tank based on the parameter labels of all the growth parameters in the plant growth data of each closed cultivation tank, and determining the parameter growth data of each parameter label of each closed cultivation tank, wherein the parameter growth data comprises a plurality of growth parameters and growth parameter values of each growth parameter; The real-time growth stage unit: inputting the parameter growth data of each closed cultivation tank with the parameter label of morphological parameters and the parameter growth data of each closed cultivation tank with the parameter label of physiological parameters into the stage recognition model, and determining the real-time growth stage of the fogging plant of each closed cultivation tank based on the output result of the stage recognition model.

[0010] Preferably, the plant cultivation system with the fogging function further comprises a determination module, which comprises: The real-time in-tank environment set unit: determining the real-time in-tank environment set of the fogging plant of each closed cultivation tank and the target environment parameter value and weight of each first environment parameter in the real-time in-tank environment set based on the environment parameter set of the fogging plant, the fogging target, the real-time growth stage of each closed cultivation tank, and all the historical growth stages of all the fogging targets; The first acquisition unit: acquiring the first real-time fogging sub-data in each closed cultivation tank based on the real-time in-tank environment set of each closed cultivation tank and the first environment sensor group in each closed cultivation tank, wherein the first real-time fogging sub-data comprises the first real-time environment value of each first environment parameter in the real-time in-tank environment set; The real-time out-tank environment set unit: determining the real-time out-tank environment set of all the closed cultivation tanks based on the real-time in-tank environment set of the fogging plant of all the closed cultivation tanks; The second acquisition unit: acquiring the second real-time fogging sub-data outside all the closed cultivation tanks based on the real-time out-tank environment set outside all the closed cultivation tanks and the second environment sensor group, wherein the second real-time fogging sub-data comprises a plurality of second environment parameters and the second real-time environment value of each second environment parameter; The real-time nutrient solution set unit: determining the real-time nutrient solution set of the fogging plant of each closed cultivation tank and the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set based on the nutrient solution parameter set of the fogging plant, the fogging target, the real-time growth stage of each closed cultivation tank, and all the historical growth stages of all the fogging targets. The third acquisition unit: Based on the real-time nutrient solution collection of the aeroponic plants in each closed cultivation tank and the nutrient solution sensor group in each closed cultivation tank, the real-time nutrient solution data in each closed cultivation tank is collected. The real-time nutrient solution data includes multiple nutrient solution parameters and the value of each real-time nutrient solution parameter. Target aeroponic data unit: Based on the real-time in-tank environment set of aeroponic plants in each closed cultivation tank, the target environmental parameter value and weight of each first environmental parameter in the real-time in-tank environment set, the real-time nutrient solution set, and the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set, the target aeroponic data for each closed cultivation tank is determined. Real-time aeroponic data unit: Based on the first real-time aeroponic data and real-time nutrient solution data of each closed cultivation tank, the real-time aeroponic data of each closed cultivation tank is determined. Based on the real-time aeroponic data of all closed cultivation tanks and the second real-time aeroponic data, the real-time aeroponic data is determined.

[0011] Preferably, a plant cultivation system with aeroponic function includes a control module comprising: The first environmental parameter set unit is determined based on all second environmental parameters in the second real-time aeroponic sub-data outside all closed cultivation tanks in the real-time aeroponic data and all first environmental parameters in the first real-time aeroponic sub-data of each closed cultivation tank. The influence of each second environmental parameter in the second real-time aeroponic sub-data outside all closed cultivation tanks on the first environmental parameter set of the aeroponic plant in each closed cultivation tank is determined. First calculation unit: Based on the second real-time aeroponic sub-data outside all closed cultivation tanks in the real-time aeroponic data, the first environmental parameter set of the influence of each second environmental parameter on the aeroponic plants in all closed cultivation tanks based on the second real-time aeroponic sub-data outside all closed cultivation tanks, the real-time tank environment set of the aeroponic plants in all closed cultivation tanks in the target aeroponic data, and the target environmental parameter value and weight of each environmental parameter in the real-time tank environment set, calculate the minimum adjustment objective function and the second adjustment objective value of each second environmental parameter in the second real-time aeroponic sub-data outside all closed cultivation tanks; External environment adjustment data unit: Based on the second adjustment target value of all second environmental parameters in the second real-time aeroponic data outside all closed cultivation tanks, determine the external environment adjustment data; First control unit: Based on the adjustment target value of each second environmental parameter in the second real-time aeroponic sub-data of all closed cultivation tanks in the external environment adjustment data, control each second environmental parameter in the second real-time aeroponic sub-data of all closed cultivation tanks; The second calculation unit calculates the first adjustment value of each first environmental parameter in the real-time aeroponic sub-data of all closed cultivation tanks, the real-time tank environment set of aeroponic plants in each closed cultivation tank, and the target environmental parameter value and first real-time environmental value of each first environmental parameter in the real-time tank environment set of each first environmental parameter. Determine the unit: Based on the first adjustment value of each first environmental parameter in the real-time in-tank environment set of the aeroponic plants in each closed cultivation tank, determine the in-tank environment adjustment data for each closed cultivation tank; The second control unit: based on the first adjustment value of each first environmental parameter in the real-time set of the internal environment of each closed cultivation tank, it controls each first environmental parameter in the real-time set of the internal environment of each closed cultivation tank. Nutrient solution adjustment data unit: Based on the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set of the target aeroponic data of each closed cultivation tank and the real-time nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution data of each closed cultivation tank in the real-time aeroponic data, determine the nutrient solution adjustment data of each closed cultivation tank. The third control unit: adjusts each nutrient solution parameter in the real-time nutrient solution data of each closed cultivation tank based on the nutrient solution adjustment data of each closed cultivation tank.

[0012] This invention provides a plant cultivation method with aeroponic function, used to execute any one of the plant cultivation systems with aeroponic function in Examples 1 to 7, comprising: S1: Obtain aeroponic plant data for each closed cultivation tank, and based on the aeroponic plant data for each closed cultivation tank, obtain historical aeroponic data for the aeroponic plants in each closed cultivation tank. S2: Based on the historical aeroponic data of each closed cultivation tank, determine the historical target-stage aeroponic data, environmental parameter set, and nutrient solution parameter set for each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank; S3: Based on the aeroponic plant data of each closed cultivation tank, the historical target-stage aeroponic data of all historical growth stages of all aeroponic targets of aeroponic plants, the set of environmental parameters and the set of nutrient solution parameters, determine the real-time aeroponic data and the real-time growth stage and target aeroponic data of each closed cultivation tank. S4: Based on the target aeroponic data and real-time aeroponic data for each closed cultivation tank, determine and regulate the external environment adjustment data, internal environment adjustment data, and nutrient solution adjustment data for each closed cultivation tank.

[0013] The beneficial effects of this invention compared to existing technologies are as follows: By acquiring aeroponic plant data and historical aeroponic data for each sealed cultivation tank, the invention determines the historical target-stage aeroponic data, environmental parameter sets, and nutrient solution parameter sets for each historical growth stage of each aeroponic target plant in each sealed cultivation tank. It also determines real-time aeroponic data, the real-time growth stage and target aeroponic data for each sealed cultivation tank, and determines and regulates external environmental adjustment data, internal environmental adjustment data, and nutrient solution adjustment data for each sealed cultivation tank. This allows for real-time determination of plant growth stages, achieving coordinated and precise matching of three-layer regulation, overcoming the limitations of traditional isolated regulation, balancing overall and individual needs, adjusting the external environment while simultaneously personalizing the internal environment and nutrient solution, improving cultivation efficiency and plant quality, reducing resource consumption and labor costs, enhancing the systematicness and adaptability of regulation, and ensuring optimal plant growth environment and nutrient supply. This invention can be used for seedling center construction and is suitable for applications such as forestry seedling cultivation, seedling production, and vegetable seedling cultivation.

[0014] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in this application.

[0015] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0016] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of a plant cultivation system with aeroponic function in an embodiment of the present invention; Figure 2 This is a flowchart of a plant cultivation method with aeroponic function in an embodiment of the present invention. Detailed Implementation

[0017] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention. Example 1:

[0018] This invention provides a plant cultivation system with aeroponic functionality, see reference. Figure 1 ,include: Acquisition module: Acquires aeroponic plant data for each closed cultivation tank, and based on the aeroponic plant data for each closed cultivation tank, acquires historical aeroponic data for the aeroponic plants in each closed cultivation tank; Parameter module: Based on the historical aeroponic data of each closed cultivation tank, determine the historical target-stage aeroponic data, environmental parameter set, and nutrient solution parameter set for each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank; Determine the module: Based on the aeroponic plant data of each closed cultivation tank, the historical target-stage aeroponic data of all historical growth stages of all aeroponic targets of aeroponic plants, the set of environmental parameters and the set of nutrient solution parameters, determine the real-time growth stage and target aeroponic data of each closed cultivation tank, and determine the real-time aeroponic data. Control module: Based on the target aeroponic data and real-time aeroponic data for each closed cultivation tank, determine and control the external environment adjustment data, internal environment adjustment data, and nutrient solution adjustment data for each closed cultivation tank.

[0019] In this embodiment, relevant data on the aeroponic plants in each sealed cultivation tank are first collected. This data covers the aeroponic plants, plant growth data, and aeroponic objectives. Then, based on the currently acquired aeroponic plant data, historical data on the plant is retrieved from the historical data repository, providing rich information for subsequent analysis.

[0020] In this embodiment, for each aeroponic goal, historical goal-stage aeroponic data corresponding to each historical growth stage of the plant is compiled. Simultaneously, a set of environmental parameters and a set of nutrient solution parameters that influence plant growth are extracted from the historical data.

[0021] In this embodiment, the current aeroponic plant data of each sealed cultivation tank is integrated with historical target-stage aeroponic data for each historical growth stage under all aeroponic targets for that plant, as well as the established set of environmental parameters and nutrient solution parameters. Through complex calculations and analysis, the current real-time aeroponic data is determined, the real-time growth stage of the plant in each sealed cultivation tank is judged, and the target aeroponic data for that stage is formulated, providing a clear direction for subsequent regulation.

[0022] In this embodiment, based on the difference between the target aeroponic data and the real-time aeroponic data obtained by the determining module for each sealed cultivation tank, the module calculates the external environmental adjustment data that needs to be adjusted, such as regulating the cultivation site, for example, the overall temperature and light of the greenhouse. At the same time, it determines the internal environmental adjustment data and nutrient solution adjustment data for each sealed cultivation tank, and executes these control operations to ensure that the plant growth environment and nutrient supply are always suitable.

[0023] The beneficial effects of the above technology are as follows: By acquiring aeroponic plant data and historical aeroponic data for each closed cultivation tank, the historical target-stage aeroponic data, environmental parameter sets, and nutrient solution parameter sets for each historical growth stage of each aeroponic target plant in each closed cultivation tank are determined. Real-time aeroponic data, as well as the real-time growth stage and target aeroponic data for each closed cultivation tank, are determined. Furthermore, external environmental adjustment data, internal environmental adjustment data, and nutrient solution adjustment data for each closed cultivation tank are determined and controlled. This allows for real-time determination of plant growth stages, achieving coordinated and precise matching of three-layer control, overcoming the limitations of traditional isolated control, balancing overall and individual needs, adjusting the external environment while simultaneously personalizing the internal environment and nutrient solution, improving cultivation efficiency and plant quality, reducing resource consumption and labor costs, enhancing the systematic nature and adaptability of control, and ensuring the optimal state of plant growth environment and nutrient supply. Example 2:

[0024] Based on Example 1, a plant cultivation system with aeroponic function includes an acquisition module, comprising: Aeroponics plant data unit: Acquire aeroponics plant data for each closed cultivation tank. The aeroponics plant data includes aeroponics plants, plant growth data, and aeroponics targets. The plant growth data includes multiple growth parameters, the growth parameter value of each growth parameter, and parameter labels. The parameter labels include morphological parameters, physiological parameters, and health parameters. Historical aeroponic data unit: Based on the aeroponic plant data of each closed cultivation tank, historical aeroponic data of each closed cultivation tank is obtained. The historical aeroponic data includes historical aeroponic sub-data of multiple historical aeroponic cultivations of aeroponic plants in the closed cultivation tank. The historical aeroponic sub-data includes aeroponic objectives, historical nutrient solution data of multiple historical growth stages, historical environmental data, and historical growth data. The historical nutrient solution data includes multiple nutrient solution parameters and historical nutrient solution values ​​for each nutrient solution parameter. The historical environmental data includes multiple environmental parameters and historical environmental values ​​for each environmental parameter. The historical growth data includes multiple growth parameters and historical growth values ​​for each growth parameter.

[0025] In this embodiment, aeroponic plant data is collected from each sealed cultivation tank. The aeroponic plant data includes the specific aeroponic plant itself, plant growth data, and the set aeroponic goals and plant growth data. The plant growth data consists of multiple growth parameters, each with a corresponding growth parameter value and parameter label. The parameter labels are divided into morphological parameters, physiological parameters, and health parameters. Through these data, we can comprehensively understand the current growth status and cultivation direction of the plant.

[0026] In this embodiment, the historical aeroponic data of the plant is obtained based on the aeroponic plant data recorded in the aeroponic plant data of each closed cultivation tank. The historical aeroponic data consists of historical aeroponic sub-data of the aeroponic plant's multiple historical aeroponic experiences in the closed cultivation tank. Each historical aeroponic sub-data includes the aeroponic target at that time, historical nutrient solution data of multiple historical growth stages, historical environmental data, and historical growth data. The historical nutrient solution data involves multiple nutrient solution parameters and their respective historical nutrient solution values. The historical environmental data includes multiple environmental parameters and their respective historical environmental values. The historical growth data includes multiple growth parameters and their respective historical growth values. This historical data can reflect the plant's past growth patterns and cultivation conditions.

[0027] The beneficial effects of the above technologies are: obtaining aeroponic plant data for each closed cultivation tank, and based on the aeroponic plant data for each closed cultivation tank, obtaining historical aeroponic data for each closed cultivation tank, providing in-depth data support for precision cultivation. Example 3:

[0028] Based on Example 2, a plant cultivation system with aeroponic function includes a parameter module comprising: Historical target cultivation data unit: Based on the aeroponic targets in all historical aeroponic sub-data in the historical aeroponic data of aeroponic plants in each closed cultivation tank, the historical aeroponic data is classified to determine the historical target cultivation data of multiple aeroponic targets for aeroponic plants in each closed cultivation tank. The historical target cultivation data includes multiple historical aeroponic sub-data. The first classification unit: Based on the historical growth stage in each historical aeroponic sub-data in the historical target cultivation data of each aeroponic target of each aeroponic plant in each closed cultivation tank, each historical aeroponic sub-data is classified to determine the historical aeroponic growth data of multiple historical growth stages in each historical aeroponic sub-data in the historical target cultivation data of each aeroponic target of each aeroponic plant in each closed cultivation tank. The historical aeroponic growth data includes historical nutrient solution data, historical environmental data, and historical growth data. Historical target-stage aeroponic data unit: Based on the historical aeroponic growth data of each historical growth stage of all historical aeroponic sub-data in the historical target cultivation data of each aeroponic plant in each closed cultivation tank, the historical target-stage aeroponic data of each historical growth stage of each aeroponic plant in each closed cultivation tank is determined, wherein the historical target-stage aeroponic data includes multiple historical aeroponic growth data.

[0029] In this embodiment, the historical aeroponic data of the aeroponic plants in each sealed cultivation tank is processed. Based on the aeroponic goals contained in all historical aeroponic sub-data, the historical aeroponic data is classified. Through this classification, the historical target cultivation data corresponding to the aeroponic plants in each sealed cultivation tank under multiple different aeroponic goals is finally determined, and each set of historical target cultivation data consists of multiple historical aeroponic sub-data.

[0030] In this embodiment, for each aeroponic target corresponding to each aeroponic plant in each closed cultivation tank, the historical target cultivation data is used as a basis to classify each historical aeroponic sub-data based on the historical growth stage recorded in each historical aeroponic sub-data within the historical target cultivation data. After classification, the historical aeroponic growth data corresponding to each historical aeroponic sub-data in the historical target cultivation data of each aeroponic plant in each closed cultivation tank at multiple different historical growth stages will be determined. These historical aeroponic growth data specifically include historical nutrient solution data, historical environmental data, and historical growth data.

[0031] In this embodiment, the historical target cultivation data of each aeroponic plant in each closed cultivation tank is integrated. Based on the historical aeroponic growth data of all historical aeroponic sub-data in the historical target cultivation data at each historical growth stage, the historical target-stage aeroponic data corresponding to each historical growth stage of each aeroponic plant in each closed cultivation tank is determined. Each set of historical target-stage aeroponic data consists of multiple historical aeroponic growth data.

[0032] In this embodiment, the goals of aeroponics can be: rapid growth: focusing on providing plants with high nitrogen and high water-soluble nutrients to shorten the growth cycle, and appropriately increasing the frequency of nutrient solution supply, such as atomizing once every 15 minutes; quality: controlling nitrogen content to avoid excessively soft stems and leaves, increasing potassium content to enhance fruit sugar and phosphorus content, promoting the accumulation of flavor substances, while reducing the proportion of nitrate nitrogen and increasing ammonium nitrogen, such as adding ammonium sulfate; organic aeroponics: requiring the use of organic nutrient solutions such as fish protein and humic acid fermentation liquid to avoid chemical fertilizers, and controlling the EC value, as the EC value of organic nutrient solutions is usually low, requiring increased atomization time to ensure nutrient supply, etc.

[0033] The beneficial effects of the above technology are as follows: Based on the historical aeroponic data of each closed cultivation tank, the historical target-stage aeroponic data of each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank are determined, and the data of different cultivation targets and different growth stages are accurately determined, thereby improving the efficiency of data utilization and the accuracy of cultivation control. Example 4:

[0034] Based on Example 3, a plant cultivation system with aeroponic function, including a parameter module, further includes: Environment-Growth Causal Model Unit: The historical environmental data from all historical aeroponic growth data of each aeroponic plant in each closed cultivation tank and each historical growth stage of each aeroponic plant are used as input to the environment-growth causal model. The historical growth data from all historical aeroponic growth data of each aeroponic plant in each closed cultivation tank and each historical growth stage of each aeroponic plant are used as output to construct the environment-growth causal model for each historical growth stage of each aeroponic plant in each closed cultivation tank. Environmental parameter set unit: Based on the environmental-growth causal model of each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank, determine the environmental parameter set of each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank, as well as the target environmental parameter value and weight of each environmental parameter in the environmental parameter set; Nutrient solution-growth causal model unit: The historical nutrient solution data in all historical aeroponic growth data of each aeroponic target and each historical growth stage of each aeroponic target for each aeroponic plant in each closed cultivation tank is used as the input of the nutrient solution-growth causal model. The historical growth data in all historical aeroponic growth data of each aeroponic target and each historical growth stage of each aeroponic target for each aeroponic plant in each closed cultivation tank is used as the output of the nutrient solution-growth causal model. The nutrient solution-growth causal model for each historical growth stage of each aeroponic target for each aeroponic plant in each closed cultivation tank is constructed. Nutrient solution parameter set unit: Based on the nutrient solution-growth causal model of each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank, determine the nutrient solution parameter set of each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank, as well as the target nutrient solution parameter value of each nutrient solution parameter in the nutrient solution parameter set.

[0035] In this embodiment, the input and output of the environment-growth causal model are the pure observation datasets of each historical growth stage of each aeroponic target in the corresponding closed cultivation tank. The left side of the dataset is the environmental variable column, and the right side is the growth variable column. The model construction uses a causal discovery algorithm to scan all possible edges between the left and right columns. The algorithm first outputs an undirected skeleton, and then outputs a directed acyclic graph. Only the parent node is retained in the graph, and the grandchild nodes and pseudo-correlated edges are removed to obtain the true set of environmental driving factors. After the skeleton is determined, a function causal model is used to fit a function to each edge. The function form adopts a nonlinear structural equation, and the solution method adopts a gradient boosting machine. After the model is trained, each directed edge corresponds to a causal strength coefficient. After the coefficient is normalized, a weight vector is formed. The weight vector is uniquely bound to the combination. The model construction process is fully automated. Every time a new historical aeroponic growth data is added, causal discovery and function fitting will be re-executed to achieve self-correction of weight drift.

[0036] In this embodiment, the weights output by the upstream causal model are read, and the allowable range of crop physiology is read. The weights and ranges are hard-truncated, and a set of environmental parameters specific to this combination is generated after truncation. The set of environmental parameters may include root zone temperature, root zone humidity, oxygen concentration in the tank, light intensity in the tank, carbon dioxide concentration in the tank, etc. Each environmental parameter is given a target value and a weight. The target value is obtained by inversion of the causal function, and the weight is obtained by normalizing the causal strength coefficient. The unit also contains conflict resolution logic. When two environmental variables are coupled and conflict, the one with higher weight is taken as the standard, and the variable with lower weight automatically yields the control bandwidth to ensure that the control action always moves in the direction most sensitive to growth.

[0037] In this embodiment, the input and output of the nutrient solution-growth causal model are pure observation datasets of each historical growth stage of each aeroponic target for the corresponding closed cultivation tank. The left input column is the nutrient solution variables, including nitrogen, phosphorus, potassium, calcium, magnesium, sulfur, iron, manganese, zinc, copper, molybdenum, boron, pH, conductivity, dissolved oxygen, and liquid temperature. The right output column is the growth variables, including daily weight gain, leaf area, sugar content, nitrate, root surface area, and fruit firmness. First, the NOTEARS algorithm is used to learn the directed acyclic graph, retaining parent nodes and removing reverse edges to obtain the set of nutrient solution driving factors. Then, a nonlinear structural equation model is used to fit a function to each edge. The fitting engine can use XGBoost. The model output is the causal strength coefficient of each edge. After the coefficients are normalized, a nutrient solution weight vector is formed. The weight vector is uniquely bound to this combination and serves as the direct instruction source for the nutrient solution dispensing machine. The model supports incremental updates. After each production cycle is completed, new data is automatically fed back, and the unit re-executes causal discovery and function fitting to ensure that the weights evolve in real time with changes in variety, season, and target.

[0038] In this embodiment, the upstream nutrient solution causal weight vector is read, and the organic or mineral solution constraint table is read simultaneously. The weights and constraints are hard-truncated to generate a nutrient solution parameter set specific to this combination. The nutrient solution parameter set includes macro-element concentration, micro-element concentration, pH, conductivity, dissolved oxygen, liquid temperature, etc. Each nutrient solution parameter is given a target value and weight. The target value is obtained by inverting the causal function, and the weight is obtained by normalizing the causal strength coefficient. The unit also contains antagonistic resolution logic. When nitrogen and potassium absorption antagonism occurs, the element with the higher weight is used, and the low-weight element automatically reduces its concentration to ensure that the ion balance is always within the range that crops can absorb, avoiding precipitation or salt damage.

[0039] The beneficial effects of the above technologies are as follows: by determining the set of environmental parameters and the set of nutrient solution parameters, the causal relationship between environmental and nutrient solution parameters and plant growth can be accurately correlated, the target values ​​and weights of parameters can be clarified, providing a scientific basis for subsequent regulation, improving the targeting and efficiency of aeroponic cultivation, and reducing resource waste. Example 5:

[0040] Based on Example 4, a plant cultivation system with aeroponic function is defined, comprising the following modules: Stage identification model unit: The historical growth data of all historical growth stages of each aeroponic target of each aeroponic plant in each closed cultivation tank is used as the input of the stage identification model, and all historical growth stages of each aeroponic target of each aeroponic plant in each closed cultivation tank are used as the output of the stage identification model to construct the stage identification model. The second classification unit: Based on the parameter labels of all growth parameters in the plant growth data of each closed cultivation tank in the aeroponic plant data, all growth parameters in the plant growth data of each closed cultivation tank are classified to determine the parameter growth data of each parameter label of each closed cultivation tank. The parameter growth data includes multiple growth parameters and the growth parameter value of each growth parameter. Real-time growth stage unit: The parameter growth data labeled as morphological parameters and the parameter growth data labeled as physiological parameters of each closed cultivation tank are input into the stage recognition model. Based on the output of the stage recognition model, the real-time growth stage of the aeroponic plant in each closed cultivation tank is determined.

[0041] In this embodiment, all growth stages of each aeroponic target for each aeroponic plant in each sealed cultivation tank are arranged in chronological order into a stage chain. Each segment of the chain corresponds to a set of growth observations, including plant height, leaf area, stem diameter, root length, fresh weight, dry weight, chlorophyll content, net photosynthetic rate, sugar content, nitrate, fruit firmness, root surface area, and leaf color. These observations are used as the left input column, and the segment number of the stage chain is used as the right output column, forming an input-output pair. The unit uses a temporal classification algorithm to construct the model. The main algorithm is a bidirectional long short-term memory network, and the feedforward layer scans the growth trajectory from the past to the present. The backward layer scans the growth trajectory from the present to the future. During the training phase, the network automatically extracts the upward slope, downward slope, inflection point, and saturation point of morphology and physiological indicators. The network ends in a fully connected layer, which outputs the stage probability distribution at each time point. The one with the highest probability is taken as the stage label for that point. After the model is trained, only real-time growth data needs to be input, and the network can give the current growth stage within seconds. The model supports online incremental learning, automatic feedback of new cycle data, and fine-tuning of network weights once a week to ensure that the stage boundaries are updated with the variety, the season, and the target, thus ensuring that the recognition accuracy is always available.

[0042] In this embodiment, growth parameters labeled as morphological parameters include at least plant height, leaf area, stem diameter, number of leaves, leaf color value, root length, root diameter, root surface area, and number of new roots; growth parameters labeled as physiological parameters include at least growth rate, fresh weight, dry weight, chlorophyll, net photosynthetic rate, stomatal conductance, and fruit maturity; and growth parameters labeled as health parameters include at least wilting degree, yellowing index, number of leaf lesions, and insect damage traces.

[0043] In this embodiment, based on the parameter labels attached to all growth parameters in the plant growth data of each closed cultivation tank in the aeroponic plant data, a classification operation is performed on all growth parameters contained in the plant growth data of each closed cultivation tank. After classification, the parameter growth data corresponding to each parameter label for each closed cultivation tank is determined, and each type of parameter growth data contains multiple growth parameters and the corresponding growth parameter value for each growth parameter.

[0044] In this embodiment, the parameter growth data labeled as morphological parameters and physiological parameters in each closed cultivation tank are input into the previously constructed stage identification model. Based on the output of the stage identification model, the current real-time growth stage of the aeroponic plant in each closed cultivation tank is determined.

[0045] The beneficial effects of the above technology are as follows: Based on the aeroponic plant data of each closed cultivation tank, the historical target-stage aeroponic data of all historical growth stages of all aeroponic targets of aeroponic plants, the set of environmental parameters, and the set of nutrient solution parameters, the real-time growth stage of each closed cultivation tank can be determined. This can accurately identify the real-time growth stage, reduce redundant data interference, improve the efficiency and accuracy of stage identification, provide accurate stage basis for subsequent targeted regulation, and ensure that cultivation measures are adapted to the plant growth rhythm. Example 6:

[0046] Based on Example 5, a plant cultivation system with aeroponic function, including a determining module, further includes: Real-time in-tank environment set unit: Based on the environmental parameter set of each closed cultivation tank, the aeroponic plant, the aeroponic target, the real-time growth stage, and all historical growth stages of all aeroponic targets, determine the real-time in-tank environment set of the aeroponic plant in each closed cultivation tank, as well as the target environmental parameter value and weight of each first environmental parameter in the real-time in-tank environment set; First acquisition unit: Based on the real-time environment set inside each closed cultivation tank and the first environmental sensor group inside each closed cultivation tank, the first real-time aeroponic data inside each closed cultivation tank is acquired, wherein the first real-time aeroponic data includes the first real-time environmental value of each first environmental parameter in the real-time environment set inside the tank. Real-time external environment set unit: Based on the real-time internal environment set of all aeroponic plants in all closed cultivation tanks, determine the real-time external environment set of all closed cultivation tanks; The second acquisition unit: Based on the real-time external environment set of all closed cultivation tanks and the second environmental sensor group, it acquires the second real-time aeroponic data of all closed cultivation tanks. The second real-time aeroponic data includes multiple second environmental parameters and the second real-time environmental value of each second environmental parameter. Real-time nutrient solution collection unit: Based on the nutrient solution parameter set of each closed cultivation tank's aeroponic plant, aeroponic target, real-time growth stage, and all historical growth stages of all aeroponic targets, determine the real-time nutrient solution set of each closed cultivation tank's aeroponic plant and the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set. The third acquisition unit: Based on the real-time nutrient solution collection of the aeroponic plants in each closed cultivation tank and the nutrient solution sensor group in each closed cultivation tank, the real-time nutrient solution data in each closed cultivation tank is collected. The real-time nutrient solution data includes multiple nutrient solution parameters and the value of each real-time nutrient solution parameter. Target aeroponic data unit: Based on the real-time in-tank environment set of aeroponic plants in each closed cultivation tank, the target environmental parameter value and weight of each first environmental parameter in the real-time in-tank environment set, the real-time nutrient solution set, and the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set, the target aeroponic data for each closed cultivation tank is determined. Real-time aeroponic data unit: Based on the first real-time aeroponic data and real-time nutrient solution data of each closed cultivation tank, the real-time aeroponic data of each closed cultivation tank is determined. Based on the real-time aeroponic data of all closed cultivation tanks and the second real-time aeroponic data, the real-time aeroponic data is determined.

[0047] In this embodiment, based on the aeroponic plant itself in each closed cultivation tank, the set aeroponic target, the current real-time growth stage, and the set of environmental parameters corresponding to all historical growth stages of all aeroponic targets of the plant, the real-time in-tank environment set corresponding to each aeroponic plant in the closed cultivation tank is determined, and the target environmental parameter value and its respective weight of each first environmental parameter in the real-time in-tank environment set are also specified.

[0048] In this embodiment, data acquisition is based on the established real-time environment set within each sealed cultivation tank, and is accomplished using a first environmental sensor group installed inside each sealed cultivation tank. The acquired first real-time aeroponic sub-data includes the first real-time environmental value corresponding to each first environmental parameter in the real-time environment set within the tank.

[0049] In this embodiment, all first environmental parameters in the real-time in-tank environment set corresponding to each aeroponic plant in all closed cultivation tanks are integrated to determine the real-time out-of-tank environment set applicable to all closed cultivation tanks.

[0050] In this embodiment, a set of real-time external environments outside all the sealed cultivation tanks is referenced, and data is collected using a second set of environmental sensors located outside all the sealed cultivation tanks. The collected second real-time aeroponic data includes multiple second environmental parameters and a corresponding second real-time environmental value for each second environmental parameter.

[0051] In this embodiment, based on the type of aeroponic plant in each closed cultivation tank, the set aeroponic target, the current real-time growth stage, and the nutrient solution parameter set corresponding to all historical growth stages of all aeroponic targets for that plant, the real-time nutrient solution set corresponding to each aeroponic plant in the closed cultivation tank is determined, and the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set is specified.

[0052] In this embodiment, the real-time nutrient solution set corresponding to the aeroponic plants in each sealed cultivation tank is used as a reference, and data is collected by the nutrient solution sensor group inside each sealed cultivation tank. The collected real-time nutrient solution data includes multiple nutrient solution parameters and the real-time nutrient solution parameter value corresponding to each nutrient solution parameter.

[0053] In this embodiment, the target aeroponic data for each closed cultivation tank is determined by integrating information such as the real-time in-tank environment set corresponding to the aeroponic plants in each closed cultivation tank, the target environmental parameter value and weight of each first environmental parameter in the real-time in-tank environment set, the real-time nutrient solution set, and the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set.

[0054] In this embodiment, the real-time aeroponic data for each closed cultivation tank is determined based on the first real-time aeroponic data and the real-time nutrient solution data for each tank. Then, the real-time aeroponic data for all closed cultivation tanks and the collected second real-time aeroponic data are integrated to determine the overall real-time aeroponic data.

[0055] The beneficial effects of the above technologies are as follows: determining the target aeroponic data for each closed cultivation tank and determining the real-time aeroponic data can accurately link plant characteristics, targets and real-time stages, and determine the real-time collection and target values ​​of the internal and external environment and nutrient solution in layers, so as to achieve precise matching between data collection and target requirements, provide comprehensive and accurate data support for subsequent regulation, and improve the systematicness and effectiveness of aeroponic system data management. Example 7:

[0056] Based on Example 6, a plant cultivation system with aeroponic function includes a control module comprising: The first environmental parameter set unit is determined based on all second environmental parameters in the second real-time aeroponic sub-data outside all closed cultivation tanks in the real-time aeroponic data and all first environmental parameters in the first real-time aeroponic sub-data of each closed cultivation tank. The influence of each second environmental parameter in the second real-time aeroponic sub-data outside all closed cultivation tanks on the first environmental parameter set of the aeroponic plant in each closed cultivation tank is determined. First calculation unit: Based on the second real-time aeroponic sub-data outside all closed cultivation tanks in the real-time aeroponic data, the first environmental parameter set of the influence of each second environmental parameter on the aeroponic plants in all closed cultivation tanks based on the second real-time aeroponic sub-data outside all closed cultivation tanks, the real-time tank environment set of the aeroponic plants in all closed cultivation tanks in the target aeroponic data, and the target environmental parameter value and weight of each environmental parameter in the real-time tank environment set, calculate the minimum adjustment objective function and the second adjustment objective value of each second environmental parameter in the second real-time aeroponic sub-data outside all closed cultivation tanks; External environment adjustment data unit: Based on the second adjustment target value of all second environmental parameters in the second real-time aeroponic data outside all closed cultivation tanks, determine the external environment adjustment data; First control unit: Based on the adjustment target value of each second environmental parameter in the second real-time aeroponic sub-data of all closed cultivation tanks in the external environment adjustment data, control each second environmental parameter in the second real-time aeroponic sub-data of all closed cultivation tanks; The second calculation unit calculates the first adjustment value of each first environmental parameter in the real-time aeroponic sub-data of all closed cultivation tanks, the real-time tank environment set of aeroponic plants in each closed cultivation tank, and the target environmental parameter value and first real-time environmental value of each first environmental parameter in the real-time tank environment set of each first environmental parameter. Determine the unit: Based on the first adjustment value of each first environmental parameter in the real-time in-tank environment set of the aeroponic plants in each closed cultivation tank, determine the in-tank environment adjustment data for each closed cultivation tank; The second control unit: based on the first adjustment value of each first environmental parameter in the real-time set of the internal environment of each closed cultivation tank, it controls each first environmental parameter in the real-time set of the internal environment of each closed cultivation tank. Nutrient solution adjustment data unit: Based on the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set of the target aeroponic data of each closed cultivation tank and the real-time nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution data of each closed cultivation tank in the real-time aeroponic data, determine the nutrient solution adjustment data of each closed cultivation tank. The third control unit: adjusts each nutrient solution parameter in the real-time nutrient solution data of each closed cultivation tank based on the nutrient solution adjustment data of each closed cultivation tank.

[0057] In this embodiment, parameters that are affected by the second environmental parameters outside the sealed cultivation tank are selected from the first environmental parameters of each sealed cultivation tank, and finally a set of first environmental parameters affecting each second environmental parameter is formed. By analyzing the physical interaction relationship of the parameters, the environmental transmission logic and historical cultivation data, it is determined which first environmental parameters each second environmental parameter will affect. If a change in a certain second environmental parameter will directly or indirectly cause a fluctuation in a certain first environmental parameter (e.g., an increase in the air temperature outside the tank will lead to an increase in the temperature of the root zone inside the tank, or a change in the light intensity outside the tank will affect the evaporation rate of the mist droplets inside the tank and thus change the air humidity inside the tank), or there is a stable correlation between the two in the historical data, then the first environmental parameter is included in the set of first environmental parameters affecting the second environmental parameter.

[0058] In this embodiment, the first calculation unit: based on the second real-time aeroponic sub-data outside all closed cultivation tanks in the real-time aeroponic data, the first environmental parameter set of the influence of each second environmental parameter of aeroponic plants in all closed cultivation tanks on each of the second real-time aeroponic sub-data outside all closed cultivation tanks, the real-time tank environment set of aeroponic plants in all closed cultivation tanks in the target aeroponic data, and the target environmental parameter value and weight of each environmental parameter in the real-time tank environment set, calculates the minimum adjustment objective function and the second adjustment objective value of each second environmental parameter in the second real-time aeroponic sub-data outside all closed cultivation tanks. The calculation formula can be expressed as: ; in, Let represent the minimum adjustment objective function for the j-th second environmental parameter in the second real-time aeroponic data outside all sealed cultivation tanks. This represents the second adjustment target value of the j-th second environmental parameter in the second real-time aeroponic data outside all sealed cultivation tanks. This represents the second real-time environmental value of the j-th second environmental parameter in the second real-time aeroponic data outside all sealed cultivation tanks. The first environmental parameter represents the k-th element in the first environmental parameter set, representing the influence of the j-th second environmental parameter on the second real-time aeroponic sub-data based on all data outside the i-th closed cultivation tank for the aeroponic plant. This represents the a-th first environmental parameter in the set of real-time in-tank environments for the i-th closed cultivation tank. This represents the influence factor of the j-th second environmental parameter in the second real-time aeroponic sub-data based on all data outside the i-th closed cultivation tank on the k-th first environmental parameter in the first environmental parameter set. Let Nij represent the first real-time environmental value of the k-th first environmental parameter in the first environmental parameter set, representing the impact of the j-th second environmental parameter on the aeroponic plant in the i-th closed cultivation tank, based on the second real-time aeroponic data from all closed cultivation tanks. Let Nij represent the number of first environmental parameters in the first environmental parameter set, representing the impact of the j-th second environmental parameter on the aeroponic plant in the i-th closed cultivation tank, based on the second real-time aeroponic data from all closed cultivation tanks. Let N2 represent the number of closed cultivation tanks. This represents the adjustment value of the j-th second environmental parameter in the second real-time aeroponic data outside all sealed cultivation tanks. The weight of the k-th first environmental parameter in the first environmental parameter set based on the real-time aeroponic sub-data outside all closed cultivation tanks for the aeroponic plant in the i-th closed cultivation tank is based on the real-time tank environment set of the i-th closed cultivation tank. The target environmental parameter value represents the influence of the j-th second environmental parameter in the second real-time aeroponic sub-data based on all closed cultivation tanks on the k-th first environmental parameter in the first environmental parameter set, based on the a-th first environmental parameter in the real-time tank environment set of the i-th closed cultivation tank. In this embodiment, This indicates that the value of the k-th first environmental parameter in the first environmental parameter set, which represents the influence of the j-th second environmental parameter in the second real-time aeroponic sub-data based on all closed cultivation tanks on the aeroponic plant, is equal to the a-th first environmental parameter in the real-time tank environment set of the i-th closed cultivation tank. .

[0059] In this embodiment, This indicates that the value of the k-th first environmental parameter in the first environmental parameter set, which represents the influence of the j-th second environmental parameter in the second real-time aeroponic sub-data based on all closed cultivation tanks on the aeroponic plant, is equal to the a-th first environmental parameter in the real-time tank environment set of the i-th closed cultivation tank. .

[0060] In this embodiment, the second adjustment target values ​​of all second environmental parameters in the second real-time aeroponic data outside all closed cultivation tanks are integrated to determine the external environment adjustment data of all closed cultivation tanks. According to the adjustment target value of each second environmental parameter in the external environment adjustment data, the corresponding control equipment is activated to adjust each second environmental parameter to the corresponding target value in order to adjust the overall external environment.

[0061] In this embodiment, the second calculation unit calculates the first adjustment value of each first environmental parameter in the real-time aeroponic sub-data of all closed cultivation tanks, based on the adjustment target value of each second environmental parameter in the second real-time aeroponic sub-data of all closed cultivation tanks, the real-time in-tank environment set of aeroponic plants in each closed cultivation tank, and the target environmental parameter value and first real-time environmental value of each first environmental parameter in the real-time in-tank environment set. The calculation formula can be expressed as: ; in, This represents the first adjusted value of the first environmental parameter (a) in the real-time in-tank environment set of the i-th closed cultivation tank for the aeroponic plant. This represents the first real-time environmental value of the first environmental parameter (a) in the set of real-time environments within the i-th closed cultivation tank for aeroponic plants. This represents the target environmental parameter value of the first environmental parameter in the real-time in-tank environment set of the i-th closed cultivation tank for aeroponic plants. The influence of the j-th second environmental parameter on the aeroponic plant in the i-th closed cultivation tank based on the second real-time aeroponic sub-data outside all closed cultivation tanks. The first environmental parameter set, N3, represents the number of second environmental parameters in the second real-time aeroponic sub-data outside all closed cultivation tanks.

[0062] In this embodiment, This represents the adjustment value of the a-th first environmental parameter in the real-time environment set of the aeroponic plant in the i-th closed cultivation tank, based on the second adjustment target value and all second environmental parameters in the second real-time aeroponic sub-data outside all closed cultivation tanks.

[0063] In this embodiment, the first adjustment values ​​of all first environmental parameters in the real-time in-tank environment set of the aeroponic plants in each closed cultivation tank are integrated to form in-tank environment adjustment data exclusive to each closed cultivation tank.

[0064] In this embodiment, based on the first adjustment value of each first environmental parameter in the environmental adjustment data of each sealed cultivation trough, the control component inside the trough is operated to adjust each first environmental parameter to the target value to meet the growth requirements of the plant inside the trough.

[0065] In this embodiment, the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set of the target aeroponic data for each closed cultivation tank is compared with the real-time nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution data of the closed cultivation tank in the real-time aeroponic data. Based on the difference between the two, the adjustment range required for each nutrient solution parameter is determined, thereby forming nutrient solution adjustment data.

[0066] In this embodiment, based on the nutrient solution adjustment data of each sealed cultivation tank, the content of each parameter in the nutrient solution is adjusted through the relevant equipment of the nutrient solution supply system so that each nutrient solution parameter reaches the target nutrient solution parameter value, thereby providing suitable nutrient supply for the plants.

[0067] The beneficial effects of the above technology are as follows: Based on the target aeroponic data and real-time aeroponic data of each closed cultivation tank, the adjustment data of the external environment, the adjustment data of the internal environment and the nutrient solution of each closed cultivation tank are determined and regulated. This enables the linkage and precise matching of three-layer regulation, breaking through the limitations of traditional isolated regulation, taking into account both overall and individual needs, adjusting the external environment while adjusting the internal environment and nutrient solution in a personalized manner, improving the systematicness and adaptability of regulation, and ensuring the optimal state of plant growth environment and nutrient supply. Example 8:

[0068] This invention provides a plant cultivation method with aeroponic functionality, used to implement any one of the plant cultivation systems with aeroponic functionality in Examples 1 to 7, with reference to... Figure 2 ,include: S1: Obtain aeroponic plant data for each closed cultivation tank, and based on the aeroponic plant data for each closed cultivation tank, obtain historical aeroponic data for the aeroponic plants in each closed cultivation tank. S2: Based on the historical aeroponic data of each closed cultivation tank, determine the historical target-stage aeroponic data, environmental parameter set, and nutrient solution parameter set for each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank; S3: Based on the aeroponic plant data of each closed cultivation tank, the historical target-stage aeroponic data of all historical growth stages of all aeroponic targets of aeroponic plants, the set of environmental parameters and the set of nutrient solution parameters, determine the real-time aeroponic data and the real-time growth stage and target aeroponic data of each closed cultivation tank. S4: Based on the target aeroponic data and real-time aeroponic data for each closed cultivation tank, determine and regulate the external environment adjustment data, internal environment adjustment data, and nutrient solution adjustment data for each closed cultivation tank.

[0069] The beneficial effects of the above technology are as follows: By acquiring aeroponic plant data and historical aeroponic data for each closed cultivation tank, the historical target-stage aeroponic data, environmental parameter sets, and nutrient solution parameter sets for each historical growth stage of each aeroponic target plant in each closed cultivation tank are determined. Real-time aeroponic data, as well as the real-time growth stage and target aeroponic data for each closed cultivation tank, are determined. Furthermore, external environmental adjustment data, internal environmental adjustment data, and nutrient solution adjustment data for each closed cultivation tank are determined and controlled. This allows for real-time determination of plant growth stages, achieving coordinated and precise matching of three-layer control, overcoming the limitations of traditional isolated control, balancing overall and individual needs, adjusting the external environment while simultaneously personalizing the internal environment and nutrient solution, improving cultivation efficiency and plant quality, reducing resource consumption and labor costs, enhancing the systematic nature and adaptability of control, and ensuring the optimal state of plant growth environment and nutrient supply.

[0070] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A plant cultivation system with aeroponic function, characterized in that, include: Acquisition module: Acquires aeroponic plant data for each closed cultivation tank, and based on the aeroponic plant data for each closed cultivation tank, acquires historical aeroponic data for the aeroponic plants in each closed cultivation tank; Parameter module: Based on the historical aeroponic data of each closed cultivation tank, determine the historical target-stage aeroponic data, environmental parameter set, and nutrient solution parameter set for each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank; Determine the module: Based on the aeroponic plant data of each closed cultivation tank, the historical target-stage aeroponic data of all historical growth stages of all aeroponic targets of aeroponic plants, the set of environmental parameters and the set of nutrient solution parameters, determine the real-time aeroponic data and the real-time growth stage and target aeroponic data of each closed cultivation tank. Control module: Based on the target aeroponic data and real-time aeroponic data for each closed cultivation tank, determine and control the external environment adjustment data, internal environment adjustment data, and nutrient solution adjustment data for each closed cultivation tank.

2. The plant cultivation system with aeroponic function according to claim 1, characterized in that, The acquisition module includes: Aeroponics plant data unit: Acquire aeroponics plant data for each closed cultivation tank. The aeroponics plant data includes aeroponics plants, plant growth data, and aeroponics targets. The plant growth data includes multiple growth parameters, the growth parameter value of each growth parameter, and parameter labels. The parameter labels include morphological parameters, physiological parameters, and health parameters. Historical aeroponic data unit: Based on the aeroponic plant data of each closed cultivation tank, historical aeroponic data of each closed cultivation tank is obtained. The historical aeroponic data includes historical aeroponic sub-data of multiple historical aeroponic cultivations of aeroponic plants in the closed cultivation tank. The historical aeroponic sub-data includes aeroponic objectives, historical nutrient solution data of multiple historical growth stages, historical environmental data, and historical growth data. The historical nutrient solution data includes multiple nutrient solution parameters and historical nutrient solution values ​​for each nutrient solution parameter. The historical environmental data includes multiple environmental parameters and historical environmental values ​​for each environmental parameter. The historical growth data includes multiple growth parameters and historical growth values ​​for each growth parameter.

3. A plant cultivation system with aeroponic function according to claim 2, characterized in that, The parameter module includes: Historical target cultivation data unit: Based on the aeroponic targets in all historical aeroponic sub-data in the historical aeroponic data of aeroponic plants in each closed cultivation tank, the historical aeroponic data is classified to determine the historical target cultivation data of multiple aeroponic targets for aeroponic plants in each closed cultivation tank. The historical target cultivation data includes multiple historical aeroponic sub-data. The first classification unit: Based on the historical growth stage in each historical aeroponic sub-data in the historical target cultivation data of each aeroponic target of each aeroponic plant in each closed cultivation tank, each historical aeroponic sub-data is classified to determine the historical aeroponic growth data of multiple historical growth stages in each historical aeroponic sub-data in the historical target cultivation data of each aeroponic target of each aeroponic plant in each closed cultivation tank. The historical aeroponic growth data includes historical nutrient solution data, historical environmental data, and historical growth data. Historical target-stage aeroponic data unit: Based on the historical aeroponic growth data of each historical growth stage of all historical aeroponic sub-data in the historical target cultivation data of each aeroponic plant in each closed cultivation tank, the historical target-stage aeroponic data of each historical growth stage of each aeroponic plant in each closed cultivation tank is determined, wherein the historical target-stage aeroponic data includes multiple historical aeroponic growth data.

4. A plant cultivation system with aeroponic function according to claim 3, characterized in that, The parameter module also includes: Environment-Growth Causal Model Unit: The historical environmental data from all historical aeroponic growth data of each aeroponic plant in each closed cultivation tank and each historical growth stage of each aeroponic plant are used as input to the environment-growth causal model. The historical growth data from all historical aeroponic growth data of each aeroponic plant in each closed cultivation tank and each historical growth stage of each aeroponic plant are used as output to construct the environment-growth causal model for each historical growth stage of each aeroponic plant in each closed cultivation tank. Environmental parameter set unit: Based on the environmental-growth causal model of each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank, determine the environmental parameter set of each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank, as well as the target environmental parameter value and weight of each environmental parameter in the environmental parameter set; Nutrient solution-growth causal model unit: The historical nutrient solution data in all historical aeroponic growth data of each aeroponic target and each historical growth stage of each aeroponic target for each aeroponic plant in each closed cultivation tank is used as the input of the nutrient solution-growth causal model. The historical growth data in all historical aeroponic growth data of each aeroponic target and each historical growth stage of each aeroponic target for each aeroponic plant in each closed cultivation tank is used as the output of the nutrient solution-growth causal model. The nutrient solution-growth causal model for each historical growth stage of each aeroponic target for each aeroponic plant in each closed cultivation tank is constructed. Nutrient solution parameter set unit: Based on the nutrient solution-growth causal model of each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank, determine the nutrient solution parameter set of each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank, as well as the target nutrient solution parameter value of each nutrient solution parameter in the nutrient solution parameter set.

5. A plant cultivation system with aeroponic function according to claim 4, characterized in that, The module to be determined includes: Stage identification model unit: The historical growth data of all historical growth stages of each aeroponic target of each aeroponic plant in each closed cultivation tank is used as the input of the stage identification model, and all historical growth stages of each aeroponic target of each aeroponic plant in each closed cultivation tank are used as the output of the stage identification model to construct the stage identification model. The second classification unit: Based on the parameter labels of all growth parameters in the plant growth data of each closed cultivation tank in the aeroponic plant data, all growth parameters in the plant growth data of each closed cultivation tank are classified to determine the parameter growth data of each parameter label of each closed cultivation tank. The parameter growth data includes multiple growth parameters and the growth parameter value of each growth parameter. Real-time growth stage unit: The parameter growth data labeled as morphological parameters and the parameter growth data labeled as physiological parameters of each closed cultivation tank are input into the stage recognition model. Based on the output of the stage recognition model, the real-time growth stage of the aeroponic plant in each closed cultivation tank is determined.

6. A plant cultivation system with aeroponic function according to claim 5, characterized in that, The module also includes: Real-time in-tank environment set unit: Based on the environmental parameter set of each closed cultivation tank, the aeroponic plant, the aeroponic target, the real-time growth stage, and all historical growth stages of all aeroponic targets, determine the real-time in-tank environment set of the aeroponic plant in each closed cultivation tank, as well as the target environmental parameter value and weight of each first environmental parameter in the real-time in-tank environment set; First acquisition unit: Based on the real-time environment set inside each closed cultivation tank and the first environmental sensor group inside each closed cultivation tank, the first real-time aeroponic data inside each closed cultivation tank is acquired, wherein the first real-time aeroponic data includes the first real-time environmental value of each first environmental parameter in the real-time environment set inside the tank. Real-time external environment set unit: Based on the real-time internal environment set of all aeroponic plants in all closed cultivation tanks, determine the real-time external environment set of all closed cultivation tanks; The second acquisition unit: Based on the real-time external environment set of all closed cultivation tanks and the second environmental sensor group, it acquires the second real-time aeroponic data of all closed cultivation tanks. The second real-time aeroponic data includes multiple second environmental parameters and the second real-time environmental value of each second environmental parameter. Real-time nutrient solution collection unit: Based on the nutrient solution parameter set of each closed cultivation tank's aeroponic plant, aeroponic target, real-time growth stage, and all historical growth stages of all aeroponic targets, determine the real-time nutrient solution set of each closed cultivation tank's aeroponic plant and the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set. The third acquisition unit: Based on the real-time nutrient solution collection of the aeroponic plants in each closed cultivation tank and the nutrient solution sensor group in each closed cultivation tank, the real-time nutrient solution data in each closed cultivation tank is collected. The real-time nutrient solution data includes multiple nutrient solution parameters and the value of each real-time nutrient solution parameter. Target aeroponic data unit: Based on the real-time in-tank environment set of aeroponic plants in each closed cultivation tank, the target environmental parameter value and weight of each first environmental parameter in the real-time in-tank environment set, the real-time nutrient solution set, and the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set, the target aeroponic data for each closed cultivation tank is determined. Real-time aeroponic data unit: Based on the first real-time aeroponic data and real-time nutrient solution data of each closed cultivation tank, the real-time aeroponic data of each closed cultivation tank is determined. Based on the real-time aeroponic data of all closed cultivation tanks and the second real-time aeroponic data, the real-time aeroponic data is determined.

7. A plant cultivation system with aeroponic function according to claim 6, characterized in that, The control module includes: The first environmental parameter set unit is determined based on all second environmental parameters in the second real-time aeroponic sub-data outside all closed cultivation tanks in the real-time aeroponic data and all first environmental parameters in the first real-time aeroponic sub-data of each closed cultivation tank. The influence of each second environmental parameter in the second real-time aeroponic sub-data outside all closed cultivation tanks on the first environmental parameter set of the aeroponic plant in each closed cultivation tank is determined. First calculation unit: Based on the second real-time aeroponic sub-data outside all closed cultivation tanks in the real-time aeroponic data, the first environmental parameter set of the influence of each second environmental parameter on the aeroponic plants in all closed cultivation tanks based on the second real-time aeroponic sub-data outside all closed cultivation tanks, the real-time tank environment set of the aeroponic plants in all closed cultivation tanks in the target aeroponic data, and the target environmental parameter value and weight of each environmental parameter in the real-time tank environment set, calculate the minimum adjustment objective function and the second adjustment objective value of each second environmental parameter in the second real-time aeroponic sub-data outside all closed cultivation tanks; External environment adjustment data unit: Based on the second adjustment target value of all second environmental parameters in the second real-time aeroponic data outside all closed cultivation tanks, determine the external environment adjustment data; First control unit: Based on the adjustment target value of each second environmental parameter in the second real-time aeroponic sub-data of all closed cultivation tanks in the external environment adjustment data, control each second environmental parameter in the second real-time aeroponic sub-data of all closed cultivation tanks; The second calculation unit calculates the first adjustment value of each first environmental parameter in the real-time aeroponic sub-data of all closed cultivation tanks, the real-time tank environment set of aeroponic plants in each closed cultivation tank, and the target environmental parameter value and first real-time environmental value of each first environmental parameter in the real-time tank environment set of each first environmental parameter. Determine the unit: Based on the first adjustment value of each first environmental parameter in the real-time in-tank environment set of the aeroponic plants in each closed cultivation tank, determine the in-tank environment adjustment data for each closed cultivation tank; The second control unit: based on the first adjustment value of each first environmental parameter in the real-time set of the internal environment of each closed cultivation tank, it controls each first environmental parameter in the real-time set of the internal environment of each closed cultivation tank. Nutrient solution adjustment data unit: Based on the target nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution set of the target aeroponic data of each closed cultivation tank and the real-time nutrient solution parameter value of each nutrient solution parameter in the real-time nutrient solution data of each closed cultivation tank in the real-time aeroponic data, determine the nutrient solution adjustment data of each closed cultivation tank. The third control unit: adjusts each nutrient solution parameter in the real-time nutrient solution data of each closed cultivation tank based on the nutrient solution adjustment data of each closed cultivation tank.

8. A plant cultivation method with aeroponic function, characterized in that, For performing any one of the plant cultivation systems with aeroponic function according to claims 1 to 7, comprising: S1: Obtain aeroponic plant data for each closed cultivation tank, and based on the aeroponic plant data for each closed cultivation tank, obtain historical aeroponic data for the aeroponic plants in each closed cultivation tank. S2: Based on the historical aeroponic data of each closed cultivation tank, determine the historical target-stage aeroponic data, environmental parameter set, and nutrient solution parameter set for each historical growth stage of each aeroponic target of each aeroponic plant in each closed cultivation tank; S3: Based on the aeroponic plant data of each closed cultivation tank, the historical target-stage aeroponic data of all historical growth stages of all aeroponic targets of aeroponic plants, the set of environmental parameters and the set of nutrient solution parameters, determine the real-time aeroponic data and the real-time growth stage and target aeroponic data of each closed cultivation tank. S4: Based on the target aeroponic data and real-time aeroponic data for each closed cultivation tank, determine and regulate the external environment adjustment data, internal environment adjustment data, and nutrient solution adjustment data for each closed cultivation tank.

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