Photovoltaic tea garden planting rainwater diversion control system and method

Abstract

The invention relates to the technical field of injection molding production management, and discloses a photovoltaic tea garden planting rainwater diversion control system and method, and the system comprises a multi-dimensional collection module and an intelligent control module. According to the photovoltaic tea garden planting rainwater diversion control system and method, tea tree planting data, environment data and resource storage data are obtained through the multi-dimensional acquisition module and classified to form a data set, the intelligent control module analyzes the growth state of tea trees in each area, health problems are found in time, and the influence of diseases or bad environments on the tea yield is reduced; the comprehensive evaluation precision is high, and the intelligent control module analyzes the change trend of different environmental factors, predicts potential environmental pressure, counts the total rainwater storage amount, the power supply amount and the predicted water purification amount at the current time point, and judges whether tea trees are healthy or not and whether the environmental factors cause resource supply tension or not. And whether water resources and electric power resources can be complementary or not is judged, corresponding supply measures are taken, dynamic balance is achieved, and the resource utilization rate is high due to flexible allocation.

Description

Technical Field

[0001] The invention relates to the technical field of injection molding production management, and in particular to a photovoltaic tea garden planting rainwater diversion control system and method. Background Art

[0002] As an innovative model of modern agriculture, photovoltaic tea gardens combine solar photovoltaic power generation with tea planting, achieving multiple improvements in ecological, economic and social benefits. In photovoltaic tea gardens, neat rows of photovoltaic panels provide tea trees with a moderate shading environment, which helps to regulate the microclimate of the tea garden, reduce water evaporation, and reduce the impact of extreme weather on tea trees, thereby improving tea yield and quality. The yield of tea trees under photovoltaic panels can be increased by 20%, and the amino acid content and chlorophyll content are also significantly improved. Secondly, photovoltaic tea gardens use photovoltaic power generation to reduce the pressure of electricity consumption in the tea production process, realize green power supply for processes such as tea frying, and further reduce production costs. Photovoltaic tea gardens also have good ecological benefits. By reasonably arranging photovoltaic modules, tea gardens can generate a large amount of clean energy and reduce carbon emissions without changing the attributes of the land. This "agricultural light complementarity" model not only overcomes the problem of scarce land resources, but also effectively improves land utilization.

[0003] At present, the traditional photovoltaic tea garden rainwater diversion control system relies on human judgment of the growth status of tea trees and then supplies resources. It is difficult to accurately meet the water and nutrient needs of tea trees. When environmental factors lead to insufficient photovoltaic power generation, it is impossible to quickly evaluate the complementary relationship between water resources and electricity resources, and the applicability of resource allocation is poor. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the shortcomings of the prior art, the present invention provides a photovoltaic tea garden planting rainwater diversion control system and method, which has the advantages of high comprehensive evaluation accuracy, flexible configuration of resources and high utilization rate, and solves the problem that the traditional photovoltaic tea garden planting rainwater diversion control system is difficult to accurately meet the growth needs of tea trees and has poor applicability of resource allocation.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a photovoltaic tea garden planting rainwater diversion control system and method, including a multi-dimensional acquisition module and an intelligent control module;

[0008] The multi-dimensional acquisition module is composed of a planting data unit, an environmental monitoring unit and an energy storage data unit. The planting data unit collects a planting data set through a network connection to a database, and the planting data set includes tea tree planting data in all regions. The environmental monitoring unit collects an environmental data set through a network connection to a monitoring device, and the environmental data set includes environmental data at all time points. The energy storage data unit collects an energy storage data set through a network connection to an energy storage device, and the energy storage data set includes resource storage data at all time points.

[0009] The intelligent control module is composed of a growth assessment unit, an environmental analysis unit and a diversion management unit. The growth assessment unit analyzes the growth status of tea trees in each area according to the planting data set and generates a corresponding growth coefficient Szxs. The environmental analysis unit is provided with a monitoring period Q of a fixed duration, and then combined with the environmental data set, analyzes the change trend of different environmental factors and generates a corresponding fluctuation data group Bdsj. The diversion management unit counts the total rainwater storage capacity ZYU, the power supply GDL and the predicted net water volume YJS at the current time point according to the energy storage data set, and generates a corresponding complementary coefficient Hbxs. The diversion management unit is provided with a fixed range of growth thresholds SZY, rainfall thresholds YUY and temperature thresholds WDY, and then combined with the growth coefficient Szxs, the fluctuation data group Bdsj and the complementary coefficient Hbxs, judges whether the growth status of the tea trees is healthy, whether environmental factors lead to tight resource supply, and whether water resources and power resources can complement each other, and takes corresponding supply measures.

[0010] Preferably, the expression of the planting data set is {Z1 q 、Z2 q 、Z3 q 、...、Zh q}, Z1 q To Zh q They are the tea tree planting data from the first to the hth area, respectively. The tea tree planting data include planting depth, tree age, soil pH value, soil moisture content and soil organic matter content. q represents the specific number of a single area.

[0011] Preferably, the expression of the environmental data set is {H1 m 、H2 m 、H3 m 、...、Hj m}, H1 m To Hj m They are the environmental data from the first time point to the jth time point. The environmental planting data include rainfall and temperature. m represents the specific time when the environmental data is obtained.

[0012] Preferably, the expression of the energy storage data set is {YU s ,DLs}, YU s Represents water resource storage data, that is, rainwater storage, DL s It represents the power resource storage data, that is, the photovoltaic power generation, and s represents the specific time for obtaining the resource storage data.

[0013] Preferably, the calculation process of the growth coefficient Szxs is as follows:

[0014] Extract the tea tree planting data of the i-th area in the planting dataset, and mark the planting depth of the i-th area as SD i , mark the tree age of the i-th area as SL i , the soil pH value of the ith area is marked as pH i , the soil moisture content of the i-th area is marked as TS i , the soil organic matter content of the i-th area is marked as TY i ;

[0015] If the tree age SL in the i-th region i If the age is less than three years, it means that the tea trees in the area are in their infancy, and the soil pH value, soil water content and soil organic matter content at the current planting depth can meet the growth needs of the tea trees in their infancy;

[0016] Szxs=α1×SD i +α2×pH i +α3×TS i +α4×TY i

[0017] In the formula, α1 represents the evaluation weight for planting depth, α2 represents the evaluation weight for soil pH value, α3 represents the evaluation weight for soil moisture content, and α4 represents the evaluation weight for soil organic matter content. α1+α2+α3+α4=1, α1×SD i +α2×pH i +α3×TS i +α4×TY i It means that the growth coefficient of tea trees in the i-th region is obtained by combining planting depth, soil pH, soil water content and soil organic matter content according to the weights of α1, α2, α3 and α4;

[0018] If the tree age SL in the i-th region i More than three years means that the tea trees in the area are in the adult stage, the vertical distribution depth of the roots of the adult tea trees is greater than that of the juvenile stage, and the soil pH value, soil water content and soil organic matter content at the current planting depth cannot meet the growth needs of the tea trees in the adult stage;

[0019] SG i =SDi +μ×SL i

[0020] GpH i =pH i -θ×SL i

[0021] GTS i =TS i -σ×SL i

[0022] GTY i =TY i -τ×SL i

[0023] Szxs=α1×SG i +α2×GpH i +α3×GTS i +α4×GTY i

[0024] In the formula, SG i represents the vertical distribution depth of the tea tree roots in the ith region, μ represents the conversion coefficient from tree age to vertical distribution depth of the root system, GpH i represents the pH value of the soil in the root system of the tea tree in the ith area, θ represents the attenuation coefficient, which is used to measure the influence of tree age increase on the decrease of soil pH value, GTS i represents the soil moisture content of the tea tree root system in the ith area, σ represents the attenuation coefficient, which is used to measure the influence of tree age increase on the decrease of soil moisture content, GTY i represents the organic matter content of the tea tree root soil in the ith area, τ represents the attenuation coefficient, which is used to measure the influence of tree age increase on the decrease of soil organic matter content, α1×SG i +α2×GpH i +α3×GTS i +α4×GTY i It means that according to the weights of α1, α2, α3 and α4, the growth coefficient of tea trees in the ith area is obtained by comprehensively considering the vertical distribution depth of tea tree roots, pH value of soil around tea tree roots, water content of soil around tea tree roots and organic matter content of soil around tea tree roots.

[0025] Preferably, the calculation process of the fluctuation data set Bdsj is as follows:

[0026] According to the environmental data set, the rainfall in the ith area during the monitoring period Q is extracted and marked in chronological order as {Yi 1 、Yi 2 、Yi 3 、...、Yi e}, Yi1 To Yi e are the rainfall from the first time point to the e-th time point, and then the temperature of the i-th area in the monitoring period Q is extracted and marked as {Wi 1 、Wi 2 、Wi 3 、...、Wi f}, Wi 1 to Wi f are the temperatures from the first time point to the fth time point respectively;

[0027]

[0028] In the formula, Yi k represents the rainfall in the ith region at the kth time point, represents the average rainfall in the ith region during the monitoring period Q, According to the standard deviation formula, the fluctuation rate of rainfall in the ith region is obtained. maxYi and minYi represent the maximum and minimum rainfall in the ith region within the monitoring period Q. maxYi-minYi represents the range of rainfall in the ith region within the monitoring period Q. Wi g represents the temperature of the ith region at the gth time point, represents the average temperature of the ith region within the monitoring period Q, It indicates that the fluctuation rate of the temperature of the i-th area is obtained according to the standard deviation formula. maxWi and minWi indicate the maximum and minimum temperature of the i-th area within the monitoring period Q. maxWi-minWi indicates the extreme difference of the temperature of the i-th area within the monitoring period Q.

[0029] Preferably, the calculation process of the complementary coefficient Hbxs is as follows:

[0030] S11. Calculate the total rainwater storage capacity ZYU at the current time point based on the energy storage data set. The calculation formula is as follows:

[0031]

[0032] In the formula, ∑(YU s ) represents the total amount of rainwater obtained after counting the water resource storage data at all time points, JS represents the net water volume after the rainwater is converted, and DW represents the ambient temperature at the current time point. represents the attenuation coefficient, which is used to measure the degree to which temperature growth affects the evaporation rate of rainwater storage;

[0033] S12. Calculate the power supply GDL at the current time point based on the energy storage data set. The calculation formula is as follows:

[0034] GDL=Σ(DL s )-YD

[0035] In the formula, ∑(DL s ) represents the total amount of electricity obtained after counting the power resource storage data at all time points, YD represents the power usage, ∑(DL s )-YD represents the total power minus the power usage, which is the power supply at the current time point;

[0036] S13. Calculate the predicted net water volume YJS at the current time point according to the power supply GDL. The calculation formula is as follows:

[0037]

[0038] In the formula, v represents the power consumption per unit of clean water capacity;

[0039] S14. Calculate the complementary coefficient Hbxs at the current time point according to the total rainwater storage capacity ZYU and the predicted net water volume YJS. The calculation formula is as follows:

[0040]

[0041] In the formula, It represents the ratio of total rainwater storage to predicted net water volume, which is the complementarity coefficient between water resources and power resources at the current time point.

[0042] Preferably, when the growth coefficient Szxs is included in or exceeds the growth threshold SZY, it indicates that the growth state of the tea trees in the area is healthy. When the growth coefficient Szxs is lower than the growth threshold SZY, it indicates that the growth state of the tea trees in the area is unhealthy and clean water and fertilizer need to be supplied first.

[0043] Preferably, in the fluctuation data group Bdsj, when the fluctuation rate of rainfall exceeds the rainfall threshold YUY, or the fluctuation rate of temperature exceeds the temperature threshold WDY, it indicates that environmental factors lead to tight resource supply and that additional water and electricity resources need to be dispatched to maintain the growth of tea trees and electricity consumption in tea gardens. When the complementary coefficient Hbxs≥1, it indicates that water resources and electricity resources can complement each other, and the power supply GDL at the current time point can meet the clean water conversion of the total rainwater storage capacity ZYU.

[0044] A method for controlling rainwater diversion in photovoltaic tea garden planting comprises the following steps:

[0045] Step 1: Connect the database, monitoring device and energy storage device through the network to obtain tea tree planting data of all regions, environmental data at all time points and resource storage data at all time points, and classify them into planting data set, environmental data set and energy storage data set;

[0046] Step 2: According to the planting data set, analyze the growth status of tea trees in each area and generate the corresponding growth coefficient Szxs;

[0047] Step 3: Set a fixed-length monitoring period Q, and then combine the environmental data set to analyze the changing trends of different environmental factors to generate the corresponding fluctuation data group Bdsj;

[0048] Step 4: According to the energy storage data set, the total rainwater storage capacity ZYU, power supply GDL and predicted net water volume YJS at the current time point are counted, and the corresponding complementary coefficient Hbxs is generated;

[0049] Step 5: Set a fixed range of growth threshold SZY, rainfall threshold YUY and temperature threshold WDY, and then combine the growth coefficient Szxs, fluctuation data group Bdsj and complementary coefficient Hbxs to determine whether the growth status of the tea tree is healthy, whether environmental factors lead to tight resource supply, and whether water resources and electricity resources can complement each other, and take corresponding supply measures.

[0050] Compared with the prior art, the present invention provides a photovoltaic tea garden rainwater diversion control system and method, which has the following beneficial effects:

[0051] 1. The present invention connects the database, the monitoring device and the energy storage device through the network through the multi-dimensional acquisition module, obtains the tea tree planting data of all areas, the environmental data of all time points and the resource storage data of all time points, and classifies them into a planting data set, an environmental data set and an energy storage data set. The intelligent control module analyzes the growth status of the tea trees in each area according to the planting data set. If the age of the trees in the area is less than three years, it means that the tea trees in the area are in the juvenile stage. If the age of the trees in the area is more than three years, it means that the tea trees in the area are in the adult stage. The vertical distribution depth of the roots of the tea trees in the adult stage is greater than the vertical distribution depth of the roots in the juvenile stage. The soil pH value, soil moisture content and soil organic matter content at the current planting depth fail to meet the growth requirements of the tea trees in the adult stage, and the corresponding growth coefficient Szxs is regenerated, so as to timely discover health problems, reduce the impact of diseases or adverse environments on tea yield, and achieve high accuracy in comprehensive evaluation.

[0052] 2. The present invention sets a monitoring cycle of fixed duration through the intelligent control module, analyzes the changing trends of different environmental factors, generates corresponding fluctuation data groups, predicts potential environmental pressures, and provides guidance for optimizing environmental control measures. The intelligent control module counts the total rainwater storage, power supply and predicted net water volume at the current time point, and generates corresponding complementary coefficients to determine whether the growth status of the tea tree is healthy, whether environmental factors lead to tight resource supply, and whether water resources and power resources can complement each other, and takes corresponding supply measures to achieve a dynamic balance between water resources and power resources, and flexibly configure resources with high utilization rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of the system flow of the present invention;

[0054] Figure 2 It is a step diagram of the method of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Since the traditional photovoltaic tea garden rainwater diversion control system relies on human judgment of the growth status of tea trees and then supplies resources, it is difficult to accurately meet the water and nutrient needs of tea trees. When environmental factors lead to insufficient photovoltaic power generation, it is impossible to quickly evaluate the complementary relationship between water resources and power resources, and the resource allocation applicability is poor. Therefore, a photovoltaic tea garden rainwater diversion control system and method are provided. Please refer to Figure 1 , a photovoltaic tea garden planting rainwater diversion control system and method, including a multi-dimensional acquisition module and an intelligent control module;

[0057] The multi-dimensional acquisition module consists of a planting data unit, an environmental monitoring unit, and an energy storage data unit. The planting data unit collects planting data sets through a network connection database. The planting data sets include tea tree planting data in all regions. The expression of the planting data set is {Z1 q 、Z2 q 、Z3 q 、...、Zh q}, Z1 q To Zh q These are the tea tree planting data for the first to hth regions, including planting depth, tree age, soil pH, soil water content, and soil organic matter content. q represents the specific number of a single region. Comprehensive collection of tea tree planting data will help to formulate personalized supply strategies for tea trees in different regions in the future.

[0058] The environmental monitoring unit collects environmental data sets through a network connection monitoring device. The environmental data sets include environmental data at all time points. The expression of the environmental data set is {H1 m 、H2 m 、H3 m 、...、Hj m}, H1 m To Hj mare the environmental data from the first time point to the jth time point, respectively. The environmental planting data include rainfall and temperature. m represents the specific time when the environmental data is obtained, which helps to identify the potential risks of changes in environmental factors and provide early warning for planting and resource management;

[0059] The energy storage data unit collects energy storage data sets through network connection to energy storage devices. The energy storage data sets include resource storage data at all time points. The expression of energy storage data sets is {YU s ,DL s}, YU s Represents water resource storage data, that is, rainwater storage, DL s It represents the power resource storage data, that is, the photovoltaic power generation, and s represents the specific time of obtaining the resource storage data. Centrally recording the resource storage data helps to visualize the resource utilization status and provide data support for resource allocation and emergency management;

[0060] The intelligent control module consists of a growth assessment unit, an environmental analysis unit, and a diversion management unit. The growth assessment unit analyzes the growth status of tea trees in each area based on the planting data set and generates the corresponding growth coefficient Szxs. The calculation process is as follows:

[0061] Extract the tea tree planting data of the i-th area in the planting dataset, and mark the planting depth of the i-th area as SD i , mark the tree age of the i-th area as SL i , the soil pH value of the ith area is marked as pH i , the soil moisture content of the i-th area is marked as TS i , the soil organic matter content of the i-th area is marked as TY i ;

[0062] If the tree age SL in the i-th region i If the age is less than three years, it means that the tea trees in the area are in their infancy, and the soil pH value, soil water content and soil organic matter content at the current planting depth can meet the growth needs of the tea trees in their infancy;

[0063] Szxs=α1×SD i +α2×pH i +α3×TS i +α4×TY i

[0064] In the formula, α1 represents the evaluation weight for planting depth, α2 represents the evaluation weight for soil pH value, α3 represents the evaluation weight for soil moisture content, and α4 represents the evaluation weight for soil organic matter content. α1+α2+α3+α4=1, α1×SD i +α2×pH i+α3×TS i +α4×TY i It means that the growth coefficient of tea trees in the i-th region is obtained by combining planting depth, soil pH, soil water content and soil organic matter content according to the weights of α1, α2, α3 and α4;

[0065] If the tree age SL in the i-th region i More than three years means that the tea trees in the area are in the adult stage, the vertical distribution depth of the roots of the adult tea trees is greater than that of the juvenile stage, and the soil pH value, soil water content and soil organic matter content at the current planting depth cannot meet the growth needs of the tea trees in the adult stage;

[0066] SG i =SD i +μ×SL i

[0067] GpH i =pH i -θ×SL i

[0068] GTS i =TS i -σ×SL i

[0069] GTY i =TY i -τ×SL i

[0070] Szxs=α1×SG i +α2×GpH i +α3×GTS i +α4×GTY i

[0071] In the formula, SG i represents the vertical distribution depth of the tea tree roots in the ith region, μ represents the conversion coefficient from tree age to vertical distribution depth of the root system, GpH i represents the pH value of the soil in the root system of the tea tree in the ith area, θ represents the attenuation coefficient, which is used to measure the influence of tree age increase on the decrease of soil pH value, GTS i represents the soil moisture content of the tea tree root system in the ith area, σ represents the attenuation coefficient, which is used to measure the influence of tree age increase on the decrease of soil moisture content, GTY i represents the organic matter content of the tea tree root soil in the ith area, τ represents the attenuation coefficient, which is used to measure the influence of tree age increase on the decrease of soil organic matter content, α1×SG i +α2×GpH i +α3×GTS i +α4×GTYi It means that according to the weights of α1, α2, α3 and α4, the vertical distribution depth of tea tree roots, the pH value of tea tree root soil, the water content of tea tree root soil and the organic matter content of tea tree root soil are comprehensively considered to obtain the growth coefficient of tea trees in the ith area, quantitatively evaluate the growth status of tea trees, timely discover health problems, and reduce the impact of diseases or adverse environments on tea production;

[0072] The environmental analysis unit is set with a fixed-length monitoring cycle Q. It then combines the environmental data set to analyze the changing trends of different environmental factors and generates the corresponding fluctuation data set Bdsj. The calculation process is as follows:

[0073] According to the environmental data set, the rainfall in the ith area during the monitoring period Q is extracted and marked in chronological order as {Yi 1 、Yi 2 、Yi 3 、...、Yi e}, Yi 1 To Yi e are the rainfall from the first time point to the e-th time point, and then the temperature of the i-th area in the monitoring period Q is extracted and marked as {Wi 1 、Wi 2 、Wi 3 、...、Wi f}, Wi 1 to Wi f are the temperatures from the first time point to the fth time point respectively;

[0074]

[0075] In the formula, Yi k represents the rainfall in the ith region at the kth time point, represents the average rainfall in the ith region during the monitoring period Q, According to the standard deviation formula, the fluctuation rate of rainfall in the ith region is obtained. maxYi and minYi represent the maximum and minimum rainfall in the ith region within the monitoring period Q. maxYi-minYi represents the range of rainfall in the ith region within the monitoring period Q. Wi g represents the temperature of the ith region at the gth time point, represents the average temperature of the ith region within the monitoring period Q, It indicates that according to the standard deviation formula, the fluctuation rate of the temperature of the ith area is obtained. maxWi and minWi indicate the maximum and minimum temperature of the ith area within the monitoring period Q. maxWi-minWi indicates the extreme difference of the temperature of the ith area within the monitoring period Q. It predicts the potential environmental pressure and provides guidance for optimizing environmental control measures.

[0076] The diversion management unit counts the total rainwater storage capacity ZYU, power supply GDL and predicted net water volume YJS at the current time point according to the energy storage data set, and generates the corresponding complementary coefficient Hbxs. The calculation process is as follows:

[0077] S11. Calculate the total rainwater storage capacity ZYU at the current time point based on the energy storage data set. The calculation formula is as follows:

[0078]

[0079] In the formula, ∑(YU s ) represents the total amount of rainwater obtained after counting the water resource storage data at all time points, JS represents the net water volume after the rainwater is converted, and DW represents the ambient temperature at the current time point. represents the attenuation coefficient, which is used to measure the degree to which temperature growth affects the evaporation rate of rainwater storage;

[0080] S12. Calculate the power supply GDL at the current time point based on the energy storage data set. The calculation formula is as follows:

[0081] GDL=∑(DL s )-YD

[0082] In the formula, ∑(DL s ) represents the total amount of electricity obtained after counting the power resource storage data at all time points, YD represents the power usage, ∑(DL s )-YD represents the total power minus the power usage, which is the power supply at the current time point;

[0083] S13. Calculate the predicted net water volume YJS at the current time point according to the power supply GDL. The calculation formula is as follows:

[0084]

[0085] In the formula, v represents the power consumption per unit of clean water capacity;

[0086] S14. Calculate the complementary coefficient Hbxs at the current time point according to the total rainwater storage capacity ZYU and the predicted net water volume YJS. The calculation formula is as follows:

[0087]

[0088] In the formula, It represents the ratio of total rainwater storage to predicted net water volume, that is, the complementarity coefficient between water resources and power resources at the current time point. It can realize the dynamic balance of water resources and power resources by real-time statistics of current rainwater, power supply and net water volume.

[0089] The diversion management unit is set with a fixed range of growth threshold SZY, rainfall threshold YUY and temperature threshold WDY, and then combined with the growth coefficient Szxs, fluctuation data group Bdsj and complementary coefficient Hbxs to judge whether the growth state of the tea tree is healthy, whether environmental factors lead to tight resource supply, and whether water resources and power resources can complement each other. When the growth coefficient Szxs is included in or exceeds the growth threshold SZY, it means that the growth state of the tea trees in the area is healthy. When the growth coefficient Szxs is lower than the growth threshold SZY, it means that the tea trees in the area are The growth state is unhealthy, and clean water and fertilizer need to be supplied first. In the fluctuation data group Bdsj, when the fluctuation rate of rainfall exceeds the rainfall threshold YUY, or the fluctuation rate of temperature exceeds the temperature threshold WDY, it means that environmental factors have led to tight resource supply, and additional water and power resources need to be dispatched to maintain the growth of tea trees and electricity consumption in the tea garden. When the complementary coefficient Hbxs≥1, it means that water resources and power resources can complement each other. The power supply GDL at the current time point can meet the clean water conversion of the total rainwater storage capacity ZYU, and the flexible configuration of resources has high utilization rate.

[0090] See also Figure 2 , a photovoltaic tea garden planting rainwater diversion control method, comprising the following steps:

[0091] Step 1: Connect the database, monitoring device and energy storage device through the network to obtain tea tree planting data of all regions, environmental data at all time points and resource storage data at all time points, and classify them into planting data set, environmental data set and energy storage data set;

[0092] Step 2: Based on the planting data set, analyze the growth status of tea trees in each region and generate the corresponding growth coefficient Szxs, which is a comprehensive evaluation with high accuracy;

[0093] Step 3: Set a fixed-length monitoring period Q, and then combine the environmental data set to analyze the changing trends of different environmental factors to generate the corresponding fluctuation data group Bdsj;

[0094] Step 4: According to the energy storage data set, the total rainwater storage capacity ZYU, power supply GDL and predicted net water volume YJS at the current time point are counted, and the corresponding complementary coefficient Hbxs is generated;

[0095] Step 5: Set a fixed range of growth threshold SZY, rainfall threshold YUY and temperature threshold WDY, and then combine the growth coefficient Szxs, fluctuation data group Bdsj and complementary coefficient Hbxs to determine whether the growth status of the tea tree is healthy, whether environmental factors lead to tight resource supply, and whether water resources and electricity resources can complement each other, and take corresponding supply measures to flexibly configure resources with high utilization rate.

[0096] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A photovoltaic tea garden rainwater diversion control system, characterized in that: Including multi-dimensional acquisition module and intelligent control module; The multi-dimensional acquisition module is composed of a planting data unit, an environmental monitoring unit and an energy storage data unit. The planting data unit collects a planting data set through a network connection to a database, and the planting data set includes tea tree planting data in all regions. The environmental monitoring unit collects an environmental data set through a network connection to a monitoring device, and the environmental data set includes environmental data at all time points. The energy storage data unit collects an energy storage data set through a network connection to an energy storage device, and the energy storage data set includes resource storage data at all time points. The intelligent control module is composed of a growth assessment unit, an environmental analysis unit and a diversion management unit. The growth assessment unit analyzes the growth status of tea trees in each area according to the planting data set and generates a corresponding growth coefficient Szxs. The environmental analysis unit is provided with a monitoring period Q of a fixed duration, and then combined with the environmental data set, analyzes the change trend of different environmental factors and generates a corresponding fluctuation data group Bdsj. The diversion management unit counts the total rainwater storage capacity ZYU, the power supply GDL and the predicted net water volume YJS at the current time point according to the energy storage data set, and generates a corresponding complementary coefficient Hbxs. The diversion management unit is provided with a fixed range of growth thresholds SZY, rainfall thresholds YUY and temperature thresholds WDY, and then combined with the growth coefficient Szxs, the fluctuation data group Bdsj and the complementary coefficient Hbxs, judges whether the growth status of the tea trees is healthy, whether environmental factors lead to tight resource supply, and whether water resources and power resources can complement each other, and takes corresponding supply measures.

2. A photovoltaic tea garden rainwater diversion control system according to claim 1, characterized in that: The expression of the planting data set is {Z1 q 、Z2 q 、Z3 q 、...、Zh q }, Z1 q To Zh q They are the tea tree planting data of the first to hth areas respectively. The tea tree planting data include planting depth, tree age, soil pH value, soil moisture content and soil organic matter content. q represents the specific number of a single area.

3. A photovoltaic tea garden rainwater diversion control system according to claim 2, characterized in that: The expression of the environmental data set is {H1 m 、H2 m 、H3 m 、...、Hj m }, H1 m To Hj m They are the environmental data from the first time point to the jth time point. The environmental planting data include rainfall and temperature. m represents the specific time when the environmental data is obtained.

4. A photovoltaic tea garden rainwater diversion control system according to claim 3, characterized in that: The expression of the energy storage data set is {YU s ,DL s }, YU s Represents water resource storage data, that is, rainwater storage, DL s It represents the power resource storage data, that is, the photovoltaic power generation, and s represents the specific time for obtaining the resource storage data.

5. A photovoltaic tea garden rainwater diversion control system according to claim 4, characterized in that: The calculation process of the growth coefficient Szxs is as follows: Extract the tea tree planting data of the i-th area in the planting dataset, and mark the planting depth of the i-th area as SD i , mark the tree age of the i-th area as SL i , the soil pH value of the ith area is marked as pH i , the soil moisture content of the i-th area is marked as TS i , the soil organic matter content of the i-th area is marked as TY i ; If the tree age SL in the i-th region i If the age is less than three years, it means that the tea trees in the area are in their infancy, and the soil pH value, soil water content and soil organic matter content at the current planting depth can meet the growth needs of the tea trees in their infancy; Szxs=α1×SD i +α2×pH i +α3×TS i +α4×TY i In the formula, α1 represents the evaluation weight for planting depth, α2 represents the evaluation weight for soil pH value, α3 represents the evaluation weight for soil moisture content, and α4 represents the evaluation weight for soil organic matter content. α1+α2+α3+α4=1, α1×SD i +α2×pH i +α3×TS i +α4×TY i It means that the growth coefficient of tea trees in the i-th region is obtained by combining planting depth, soil pH, soil water content and soil organic matter content according to the weights of α1, α2, α3 and α4; If the tree age SL in the i-th region i More than three years means that the tea trees in the area are in the adult stage, the vertical distribution depth of the roots of the adult tea trees is greater than that of the juvenile stage, and the soil pH value, soil water content and soil organic matter content at the current planting depth cannot meet the growth needs of the tea trees in the adult stage; SG i =SD i +μ×SL i GpH i =pH i -θ×SL i GTS i =TS i -σ×SL i GTY i =YOU i -τ×SL i Szxs=α1×SG i +α2×GpH i +α3×GTS i +α4×GTY i In the formula, SG i represents the vertical distribution depth of the tea tree roots in the ith region, μ represents the conversion coefficient from tree age to vertical distribution depth of the root system, GpH i represents the pH value of the soil in the root system of the tea tree in the ith area, θ represents the attenuation coefficient, which is used to measure the influence of tree age increase on the decrease of soil pH value, GTS i represents the soil moisture content of the tea tree root system in the ith area, σ represents the attenuation coefficient, which is used to measure the influence of tree age increase on the decrease of soil moisture content, GTY i represents the organic matter content of the tea tree root soil in the ith area, τ represents the attenuation coefficient, which is used to measure the influence of tree age increase on the decrease of soil organic matter content, α1×SG i +α2×GpH i +α3×GTS i +α4×GTY i It means that according to the weights of α1, α2, α3 and α4, the growth coefficient of tea trees in the ith area is obtained by comprehensively considering the vertical distribution depth of tea tree roots, pH value of soil around tea tree roots, water content of soil around tea tree roots and organic matter content of soil around tea tree roots.

6. A photovoltaic tea garden rainwater diversion control system according to claim 5, characterized in that: The calculation process of the fluctuation data group Bdsj is as follows: According to the environmental data set, the rainfall in the ith area during the monitoring period Q is extracted and marked in chronological order as {Yi 1 、Yi 2 、Yi 3 、...、Yi e }, Yi 1 To Yi e are the rainfall from the first time point to the e-th time point, and then the temperature of the i-th area in the monitoring period Q is extracted and marked as {Wi 1 、Wi 2 、Wi 3 、...、Wi f }, Wi 1 to Wi f are the temperatures from the first time point to the fth time point respectively; In the formula, Yi k represents the rainfall in the ith region at the kth time point, represents the average rainfall in the ith region during the monitoring period Q, According to the standard deviation formula, the fluctuation rate of rainfall in the ith region is obtained. maxYi and minYi represent the maximum and minimum rainfall in the ith region within the monitoring period Q. maxYi-minYi represents the range of rainfall in the ith region within the monitoring period Q. Wi g represents the temperature of the ith region at the gth time point, represents the average temperature of the ith region within the monitoring period Q, It indicates that the fluctuation rate of the temperature of the i-th area is obtained according to the standard deviation formula. maxWi and minWi indicate the maximum and minimum temperature of the i-th area within the monitoring period Q. maxWi-minWi indicates the extreme difference of the temperature of the i-th area within the monitoring period Q.

7. A photovoltaic tea garden rainwater diversion control system according to claim 6, characterized in that: The calculation process of the complementary coefficient Hbxs is as follows: S11. Calculate the total rainwater storage capacity ZYU at the current time point based on the energy storage data set. The calculation formula is as follows: In the formula, ∑(YU s ) represents the total amount of rainwater obtained after counting the water resource storage data at all time points, JS represents the net water volume after the rainwater is converted, and DW represents the ambient temperature at the current time point. represents the attenuation coefficient, which is used to measure the degree to which temperature growth affects the evaporation rate of rainwater storage; S12. Calculate the power supply GDL at the current time point based on the energy storage data set. The calculation formula is as follows: GDL=∑(DL s )-YD In the formula, ∑(DL s ) represents the total amount of electricity obtained after counting the power resource storage data at all time points, YD represents the power usage, ∑(DL s )-YD represents the total power minus the power usage, which is the power supply at the current time point; S13. Calculate the predicted net water volume YJS at the current time point according to the power supply GDL. The calculation formula is as follows: In the formula, v represents the power consumption per unit of clean water capacity; S14. Calculate the complementary coefficient Hbxs at the current time point according to the total rainwater storage capacity ZYU and the predicted net water volume YJS. The calculation formula is as follows: In the formula, It represents the ratio of total rainwater storage to predicted net water volume, which is the complementarity coefficient between water resources and power resources at the current time point.

8. A photovoltaic tea garden rainwater diversion control system according to claim 7, characterized in that: When the growth coefficient Szxs is included in or exceeds the growth threshold SZY, it indicates that the growth state of the tea trees in the area is healthy. When the growth coefficient Szxs is lower than the growth threshold SZY, it indicates that the growth state of the tea trees in the area is unhealthy and clean water and fertilizer need to be supplied first.

9. A photovoltaic tea garden rainwater diversion control system according to claim 8, characterized in that: In the fluctuation data group Bdsj, when the fluctuation rate of rainfall exceeds the rainfall threshold YUY, or the fluctuation rate of temperature exceeds the temperature threshold WDY, it indicates that environmental factors lead to tight resource supply and that additional water and electricity resources need to be dispatched to maintain the growth of tea trees and electricity consumption in tea gardens. When the complementary coefficient Hbxs≥1, it indicates that water resources and electricity resources can complement each other, and the power supply GDL at the current time point can meet the clean water conversion of the total rainwater storage capacity ZYU.

10. A photovoltaic tea garden planting rainwater diversion control method, applied to a photovoltaic tea garden planting rainwater diversion control system as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Connect the database, monitoring device and energy storage device through the network to obtain tea tree planting data of all regions, environmental data at all time points and resource storage data at all time points, and classify them into planting data set, environmental data set and energy storage data set; Step 2: According to the planting data set, analyze the growth status of tea trees in each area and generate the corresponding growth coefficient Szxs; Step 3: Set a fixed-length monitoring period Q, and then combine the environmental data set to analyze the changing trends of different environmental factors to generate the corresponding fluctuation data group Bdsj; Step 4: According to the energy storage data set, the total rainwater storage capacity ZYU, power supply GDL and predicted net water volume YJS at the current time point are counted, and the corresponding complementary coefficient Hbxs is generated; Step 5: Set a fixed range of growth threshold SZY, rainfall threshold YUY and temperature threshold WDY, and then combine the growth coefficient Szxs, fluctuation data group Bdsj and complementary coefficient Hbxs to determine whether the growth status of the tea tree is healthy, whether environmental factors lead to tight resource supply, and whether water resources and electricity resources can complement each other, and take corresponding supply measures.

Images