Method for adjusting inclination angle of tea garden photovoltaic array, storage medium and equipment

Abstract

The invention discloses a tea garden photovoltaic array inclination angle adjusting method, a storage medium and equipment, and the method comprises the steps: firstly building a photovoltaic array model in Rhino, adjusting the inclination angle theta of a photovoltaic panel to change the solar radiation amount I on a tea tree canopy, and obtaining the solar radiation amounts at different inclination angles; after fitting, a relation function I = f (theta) of the photovoltaic array inclination angle theta and the solar radiation amount I is obtained; collecting sample data to obtain a relation function between tea quality elements (amino acid A, catechin C, phenol-ammonia ratio Pa and water extract W) and solar radiation amount; and establishing a relation function Q = f (A, C, Pa, W) between the tea quality elements and the tea quality Q, and substituting the relation function into a relation Q = f (theta) between the quality score Q and the inclination angle theta. And obtaining the relationship Y = f (I) between the tea yield Y and the solar radiation amount I through a method of collecting sample data, and synthesizing the formulas to obtain the optimal angle of the photovoltaic array per month. According to the method, the radiation quantity of tea tree canopies is changed by adjusting the inclination angle of the photovoltaic panel, and finally the quality and yield of tea are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of the intersection of agricultural production and electricity, aiming to improve the quality of tea leaves in tea gardens, and mainly relates to a method for adjusting the inclination angle of a photovoltaic array in a tea garden, a storage medium and a device. Background Art

[0002] At present, the photovoltaic power generation in China has developed rapidly. However, in high-power consumption areas, the installation space of photovoltaic arrays is limited, making "photovoltaic +" an important development direction. Among them, "photovoltaic + agriculture" can not only provide electricity locally but also increase farmers' income. Tea is a shade-loving cash crop. Combining it with photovoltaics and using its shading function is beneficial to improving the quality of tea leaves.

[0003] Research by Wang Lipu et al. from Southwest Forestry College in the article "The Influence of Light Intensity on Tea Production" published on April 5, 1995, shows that light intensity can change the amino acid content in tea leaves; research by Wang Zhengzhou from Zhejiang Agricultural University in the article "Ecological Thinking on 'Good Tea Comes from High Mountains'" published on October 1, 1991, shows that the nitrogen-containing substances in tea are positively correlated with the quality of tea, and low light intensity is conducive to the synthesis of nitrogen-containing substances. In summary, changing the light amount above the tea trees can improve the quality of tea leaves.

[0004] However, most of the existing research uses plastic greenhouses, straw or shading nets to shade tea leaves, without combining photovoltaic power generation with tea, and without studying the influence of the inclination angle of the photovoltaic array on the quality of tea leaves, let alone a method for adjusting the inclination angle that can improve the quality of tea leaves, which is still blank in the current technical field. Summary of the Invention

[0005] The present invention precisely aims at the problems existing in the prior art and proposes a method for adjusting the inclination angle of a photovoltaic array in a tea garden, a storage medium and a device. First, a photovoltaic array model is established in Rhino, and the inclination angle θ of the photovoltaic panel is adjusted to change the solar radiation amount I on the tea tree canopy layer, obtaining the solar radiation amounts at different inclination angles. After fitting, the relationship function I = f(θ) between the inclination angle θ of the photovoltaic array and the solar radiation amount I is obtained; then sample data is collected to obtain the relationship function between the tea quality elements (amino acid A, catechin C, phenol-ammonia ratio Pa, and water extract W) and the solar radiation amount; a relationship function Q = f(A, C, Pa, W) between the tea quality elements and the tea quality Q is established, and finally the optimal angle of the photovoltaic array for each month is calculated by substitution. The method of the present invention adjusts the inclination angle of the photovoltaic panel to change the radiation amount on the tea tree canopy layer, ultimately improving the quality of tea leaves.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: A method for adjusting the inclination angle of a photovoltaic array in a tea garden, comprising the following steps:

[0007] S1. Establishment of photovoltaic array model: Establish a photovoltaic array model according to the data information of the construction drawings of the tea garden photovoltaic array; in the photovoltaic array model, the inclination angle of the photovoltaic panels can be changed;

[0008] S2. Confirmation of the relationship function between the inclination angle of the photovoltaic array and the solar radiation amount: Adjust the inclination angle θ of the photovoltaic panel to change the solar radiation amount I on the tea tree canopy layer, obtain the solar radiation amounts at different inclination angles, and after fitting, obtain the relationship function I = f(θ) between the inclination angle θ of the photovoltaic array and the solar radiation amount I;

[0009] S3. Confirmation of the relationship function between the tea quality elements and the solar radiation amount: Collect sample data, and after processing the sample data, obtain the relationship function between the tea quality elements and the solar radiation amount; the specific tea quality elements are: amino acid A, catechin C, phenol-ammonia ratio Pa, and water extract W; the relationship functions between the quality elements and the solar radiation amount are A = f1(I), C = f2(I), Pa = f3(I), and W = f4(I);

[0010] S4. Confirmation of the relationship function between the tea quality elements and the tea quality Q: The relationship function is: Q = f(A, C, Pa, W);

[0011] S5. Confirmation of the relationship function between the tea quality score and the inclination angle: Substitute the relationship function I = f(θ) between the inclination angle θ of the photovoltaic array and the solar radiation amount I obtained in step S2, and the relationship functions between the quality elements and the solar radiation amount A = f1(I), C = f2(I), Pa = f3(I), and W = f4(I) obtained in step S3 into the functional relationship of the tea quality elements, and obtain Q = f(θ);

[0012] S6. Confirmation of the relationship function between the tea yield and the solar radiation amount: By collecting sample data and processing the data, obtain the relationship function between the tea yield and the solar radiation amount as Y = f(I);

[0013] S7. Confirmation of the optimal inclination angle of the photovoltaic array: Substitute the relationship function I = f(θ) between the solar radiation amount and the inclination angle obtained in step S2 into the relationship function between the tea yield and the solar radiation amount in step S6, and obtain the relationship function between the tea yield and the inclination angle as Y = f(θ). Then multiply the relationship function between the tea yield and the inclination angle and the relationship function between the tea quality to obtain the profit P, and use the linear search method to obtain the optimal inclination angle with the highest profit in each month.

[0014] As an improvement of the present invention, in step S1, establish a photovoltaic array model in Rhino, and the data information of the construction drawings of the tea garden photovoltaic array includes at least the vertical height of the photovoltaic panel, the size of the photovoltaic panel, and the photovoltaic panel spacing.

[0015] As an improvement of the present invention, step S2 specifically includes the following steps:

[0016] S21: Import the meteorological data file in Grasshopper using the EPW component. The meteorological data file includes at least direct solar radiation and diffuse solar radiation. Connect the meteorological data file to the corresponding position in SkyMatrix and connect it to the solar radiation component to calculate the solar radiation intensity;

[0017] S22: Adjust the inclination angle of the photovoltaic array and measure the total solar radiation of the tea tree canopy layer at different inclination angles;

[0018] S23: Use the least squares method and use MATLAB polynomial fitting to obtain the functional relationships I1 = f(θ), I2 = f(θ) ~ I 12 = f(θ) of solar radiation I and inclination angle θ for each month respectively.

[0019] As another improvement of the present invention, the processing of the sample data in step S3 is specifically as follows: Use the image digitization tool in the Orgin software tool to collect the sample data, convert the screenshot into an image in Orgin, and then use the integral in the analysis to convert it into data. Normalize the data from different sources and remove outliers, and fit the data by the least squares method to obtain A = f1(I), C = f2(I), Pa = f3(I), and W = f4(I).

[0020] As another improvement of the present invention, the processing of the sample data in step S6 is specifically as follows: Use Origin to perform image digitization processing on the collected information, and then perform integral operations to obtain multiple sets of data containing tea yield and solar radiation. Fit the data by the least squares method to obtain Y = f(I).

[0021] To achieve the above object, the technical solution adopted by the present invention is also: A computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements a method for adjusting the inclination angle of a photovoltaic array in a tea garden as described in any one of claims 1-5.

[0022] To achieve the above object, the technical solution adopted by the present invention is also: A computer device, including:

[0023] A memory for storing instructions;

[0024] A processor for executing the instructions, so that the computer device performs the operations of a method for adjusting the inclination angle of a photovoltaic array in a tea garden as described in any one of claims 1-5.

[0025] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention discloses a method for adjusting the inclination angle of a photovoltaic array in a tea garden, a storage medium, and a device, which can change the microenvironmental factors such as light in the tea garden through physical measures, increase the amino acids and catechins rich in tea leaves, and improve the taste and quality of tea leaves. In addition, building photovoltaic panels above the tea trees can not only improve the quality of tea leaves but also generate electricity without producing carbon dioxide, which is environmentally friendly. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 is a flowchart of the steps of a method for adjusting the inclination angle of a photovoltaic array in a tea garden according to the present invention;

[0027] Figure 2 is a schematic diagram of the photovoltaic panel layout model using a flexible bracket in Rhino in Embodiment 2 of the present invention;

[0028] Figure 3 is a graph of the relationship between I and θ in September obtained by simulation in Embodiment 2 of the present invention;

[0029] Figure 4 is a schematic diagram of the solar radiation distribution on the top plane of the tea tree after solar radiation analysis using LB in Embodiment 2 of the present invention;

[0030] Figure 5 is a battery diagram built in Grasshopper in Embodiment 2 of the present invention;

[0031] Figure 6 is a graph of the relationship between amino acids and solar radiation in Embodiment 2 of the present invention;

[0032] Figure 7 is a graph of the relationship between catechins and solar radiation in Embodiment 2 of the present invention;

[0033] Figure 8 is a graph of the relationship between the phenolic ammonia ratio and solar radiation in Embodiment 2 of the present invention;

[0034] Figure 9 is a graph of the relationship between water extracts and solar radiation in Embodiment 2 of the present invention;

[0035] Figure 10 is a graph of the relationship between quality and solar radiation in Embodiment 2 of the present invention;

[0036] Figure 11 is a schematic diagram of the relationship between the quality score in September and the inclination angle of the photovoltaic panel in Embodiment 2 of the present invention;

[0037] Figure 12 is a graph of the relationship between tea yield and solar radiation;

[0038] Figure 13 is the relationship between the total tea revenue in March and the inclination angle of the photovoltaic array;

[0039] Figure 14 The inclination angle of the photovoltaic array in each month is when the tea leaf yield is the largest. Specific implementation manners

[0040] The present invention will be further illustrated below in conjunction with the accompanying drawings and specific implementation manners. It should be understood that the following specific implementation manners are only used to illustrate the present invention and not to limit the scope of the present invention.

[0041] Example 1

[0042] A method for adjusting the inclination angle of a photovoltaic array in a tea garden, as Figure 1 shown, includes the following steps:

[0043] Step S1, establishing a photovoltaic array model: Use Rhino software to establish a photovoltaic array model above the tea trees. Specifically, as Figure 2 shown, Figure 2 the inclination angle of the photovoltaic panel in the photovoltaic array model can be changed.

[0044] Step S2, confirming the relationship function between the inclination angle of the photovoltaic array and the solar radiation amount:

[0045] Use Open Weather File to enter the built-in system meteorological website and download the meteorological file. Connect the file path to DownloadEPW, and then obtain the required meteorological data through ImportEPW. Connect the obtained location, direct sunlight radiation, and diffuse sunlight radiation to the corresponding positions in SkyMatrix respectively. Use the AnalysisPeriod battery to set the date. Since we want to calculate the total radiation amount per month, the date should be set from the 1st to the 31st, and the time is from 6:00 in the morning to 18:00 in the evening.

[0046] Use the IncidentRadiation battery in Ladybug to simulate the solar radiation amount on the tea canopy. Connect the corresponding positions of the SkyMatrix battery to the IncidentRadiation battery. As Figure 5 shown, obtain the distribution of the solar radiation amount as Figure 4 shown. Extract the average value from the Results of IncidentRadiation to obtain the average solar radiation amount on the tea tree canopy layer at this inclination angle, record the data, and write down the average value of the total solar radiation amount for each month at different inclination angles.

[0047] Continuously change the inclination angle of the photovoltaic panel and repeat the above steps to obtain the data of the solar radiation amount I at different inclination angles θ for each month. Use MATLAB for polynomial fitting to obtain I1 = f(θ), I2 = f(θ) ~ I 12 = f(θ). Taking September as an example:

[0048] I9 = 1.133e-06 * θ^4 - 0.0001954 * θ^3 + 0.0159 * θ^2 - 0.3955 * θ + 60.31, and the function graph is as Figure 3 shown.

[0049] Step S3, confirm the relationship function between the tea quality elements and the solar radiation amount:

[0050] Collect data on the relationships between amino acids, catechins, the ratio of phenol to ammonia, and water extracts and the solar radiation amount from different literatures. Use the image digitization tool in the Orgin software to import the screenshots, manually pick points, convert the screenshots into images in Orgin, and then use the integral in mathematics analysis to integrate the part between the curve and the X-axis to convert the image into data. Normalize each data by dividing it by the average of the data from the same source. Import the normalized data into MATLAB, perform polynomial fitting, and delete the abnormal data that deviates significantly from the curve graph to obtain the relationships between amino acids A, catechins C, the ratio of phenol to ammonia Pa, water extracts W and the solar radiation amount I. The specific function graphs are as Figures 6 - 9 shown, where Figure 6 is the schematic diagram of the relationship between amino acids A and the solar radiation amount, Figure 7 is the schematic diagram of the relationship between catechins C and the solar radiation amount, Figure 8 is the schematic diagram of the relationship between the ratio of phenol to ammonia Pa and the solar radiation amount, Figure 9 is the schematic diagram of the relationship between water extracts W and the solar radiation amount. The specific formulas are as follows:

[0051] A = 4.805e -0.0003679I + 1.343e -0.00006907I

[0052] C = -0.0255 * I 2 + 3.031 * I + 117.4

[0053] Pa = -5.124 * 10 -8 * I 2 + 0.0008337 * I + 0.9308

[0054] W = 6.403 * 10 -7 * I 2 - 0.002643 * I + 36.12

[0055] Step S4, confirm the relationship function between the tea quality elements and the tea quality Q:

[0056] According to GB / T 14487—2017 "Terms of Sensory Evaluation of Tea" and GB / T 23776—2018 "Methods of Sensory Evaluation of Tea", the quality scores of tea under different growth conditions can be obtained. Then, by measuring the contents of amino acids, catechins, the ratio of phenol to ammonia, and water extracts, the influence factors of amino acids, catechins, the ratio of phenol to ammonia, and water extracts on the quality scores are as follows:

[0057] P = 0.18518*A - 0.09169334*C + 0.19512462*Pa + 0.19440984W

[0058] Step S5, obtaining the optimal inclination angle:

[0059] Substitute the equations of A, C, Pa, and W into the above equation of the quality score. Using the simplification function and the polynomial expansion function in MATLAB, the relationship between the quality score and the radiation amount can be obtained as follows. Taking September as an example:

[0060] P9 = 1.807977845*I9 + 0.07011*exp(0.00025989*I9) + 0.4681*exp(-0.000488278*I9) - 0.012683005*I9^2 + 30.99

[0061] Using the plot function in MATLAB for the above-obtained functional relationship, with I as the abscissa and P9 as the ordinate, the specific function image is as Figure 10 shown.

[0062] Substitute the function of I9 into the above function of the quality and solar radiation amount to obtain the function of the quality and the inclination angle: P9 = 0.002439*θ^2 - 0.11*θ + 0.0001052*θ^3 - 4.852e-6*θ^4 + 9.018e-8*θ^5

[0063] - 9.412e-10*θ^6 + 5.616e-12*θ^7 - 1.628e-14*θ^8 + 0.4545*exp(0.0001931*θ)*

[0064] exp(-7.764e-6*θ^2)*exp(-5.532e-10*θ^4)*exp(9.541e-8*θ^3) + 0.07122*

[0065] exp(-0.0001028*θ)*exp(4.132e-6*θ^2)*exp(2.945e-10*θ^4)*exp(-5.078e-8*θ^3) + 93.9

[0066] Use the plot function in MATLAB for the above-obtained functional relationship, with θ as the abscissa and P9 as the ordinate, to obtain the specific function image as Figure 11 shown.

[0067] Use the Max function in Matlab to linearly search for the inclination angle θ when P9 is the largest. For other months, perform the above operations to obtain the optimal inclination angle for each month, as follows:

[0068] Month Inclination Angle / degree Quality Score January 76.69339 95.94569 February 73.48697 95.94581 March 68.51703 95.94587 April 71.24249 95.94586 May 65.91182 95.94583 June 68.61723 95.94582 July 69.15832 95.94586 August 72.40481 95.94586 September 70.90909 95.96585 October 59.41884 95.94587 November 43.18637 95.94565 December 67.93587 81.17912

[0069] Step S6, collect data to obtain data related to the fresh tea leaf yield and solar radiation:

[0070] Collect data on the relationship between the fresh tea leaf yield and solar radiation from different literatures. Use the image digitization tool in the Orgin software to import the screenshots, manually pick points, convert the screenshots into images in Orgin, and then use the integral in mathematics analysis to integrate the part between the curve and the X-axis to convert the image into data. Then, through consulting materials, it is known that each data is normalized by dividing it by the average of the data from the same source. Import the normalized data into MATLAB, perform polynomial fitting, and delete the abnormal data that deviates greatly from the curve graph.

[0071] Consult materials to obtain that the water content in fresh tea leaves is approximately 75%, and obtain the functional relationship between the dry tea leaf yield after dehydration and solar radiation:

[0072] Y = -0.00386625I 2 + 0.859875I + 0.1283

[0073] The specific function image is as Figure 12 shown.

[0074] Step S7, substitute I = f(θ) into the above Y = f(I) function to obtain Y = f(θ). From the product prices searched online, it can be obtained that the unit price of tea leaves with a general quality score of 100 points can be sold for 500 yuan / kg. So, for the time being, the revenue P = 5 * Q * Y. Obtain the functional relationship between the revenue P and I, and the specific function image is as Figure 13 shown. Calculate the inclination angle of the photovoltaic array with the maximum revenue for each month, and summarize the optimal inclination angle for each month as Figure 14 .

[0075] In summary, the method of the present invention first establishes a model of a photovoltaic tea garden in Rhino, adjusts the inclination angle θ of the photovoltaic panel to change the solar radiation amount I on the tea tree canopy layer, obtains the solar radiation amounts at different inclination angles, and performs polynomial fitting in MATLAB to obtain the function I = f(θ); secondly, collects sample data on the relationship between trace elements (such as amino acids A, catechins C, phenol-ammonia ratio Pa, and water extract W) affecting tea quality and the solar radiation amount, performs image digitization processing with Origin, normalizes and removes outliers from data from different sources, and fits the data by the least squares method to obtain A = f1(I), C = f2(I), Pa = f3(I), and W = f4(I); establishes the functional relationship Q = f(A, C, Pa, W) between tea quality Q and A, C, Pa, W, and thereby calculates the optimal angle of the photovoltaic array each month. The tea quality is greatly improved.

[0076] It should be noted that the above content only illustrates the technical idea of the present invention and cannot be used to limit the protection scope of the present invention. For those of ordinary skill in the art of this technology, without departing from the principle of the present invention, several improvements and refinements can still be made, and these improvements and refinements all fall within the protection scope of the claims of the present invention.

Claims

1. A method for adjusting the inclination angle of a photovoltaic array in a tea garden, characterized in that, It includes the following steps: S1. Establishment of photovoltaic array model: According to the data information of the construction drawings of the tea garden photovoltaic array, establish a photovoltaic array model; in the photovoltaic array model, the inclination angle of the photovoltaic panel can be changed; S2. Confirmation of the relationship function between the inclination angle of the photovoltaic array and the solar radiation amount: Adjust the inclination angle θ of the photovoltaic panel to change the solar radiation amount I on the tea tree canopy layer, obtain the solar radiation amounts at different inclination angles, and after fitting, obtain the relationship function I = f(θ) between the inclination angle θ of the photovoltaic array and the solar radiation amount I; S3. Confirmation of the relationship function between the tea quality elements and the solar radiation amount: Collect sample data, and after processing the sample data, obtain the relationship function between the tea quality elements and the solar radiation amount; the specific tea quality elements are: amino acid A, catechin C, phenol-ammonia ratio Pa, and water extract W; the relationship functions between the quality elements and the solar radiation amount are A = f1(I), C = f2(I), Pa = f3(I), and W = f4(I); S4. Confirmation of the relationship function between the tea quality elements and the tea quality Q: The relationship function is: Q = f(A, C, Pa, W); S5. Confirmation of the relationship function between the tea quality score and the inclination angle: Substitute the relationship function I = f(θ) between the inclination angle θ of the photovoltaic array and the solar radiation amount I obtained in step S2, and the relationship functions between the quality elements and the solar radiation amount A = f1(I), C = f2(I), Pa = f3(I), and W = f4(I) obtained in step S3 into the function relation of the tea quality elements in step S4 to obtain Q = f(θ); S6. Confirmation of the relationship function between the tea yield and the solar radiation amount: By collecting sample data and processing the data, obtain the relationship function between the tea yield and the solar radiation amount as Y = f(I); S7. Confirmation of the optimal inclination angle of the photovoltaic array: Substitute the relationship function I = f(θ) between the solar radiation amount and the inclination angle obtained in step S2 into the relationship function between the tea yield and the solar radiation amount in step S6 to obtain the relationship function between the tea yield and the inclination angle as Y = f(θ), multiply the relationship function between the tea yield and the inclination angle by the relationship function between the tea quality to obtain the profit P, and use the linear search method to obtain the optimal inclination angle for each month under the highest profit.

2. The method for adjusting the inclination angle of a photovoltaic array in a tea garden according to claim 1, characterized in that: In step S1, a photovoltaic array model is established in Rhino, and the data information of the construction drawings of the tea garden photovoltaic array includes at least the vertical height of the photovoltaic panel, the size of the photovoltaic panel, and the photovoltaic panel spacing.

3. The method for adjusting the inclination angle of a tea garden photovoltaic array according to claim 1, wherein: Step S2 specifically includes the following steps: S21: Import the meteorological data file in Grasshopper using the EPW component. The meteorological data file includes at least direct light radiation and diffuse light radiation. Connect the meteorological data file to the corresponding position in SkyMatrix and connect it to the solar radiation component to calculate the solar radiation intensity; S22: Adjust the inclination angle of the photovoltaic array and measure the total solar radiation amount on the tea tree canopy layer at different inclination angles; S23: Using the least squares method, the functional relationships between the solar radiation I and the inclination angle θ for each month are obtained by polynomial fitting in MATLAB as I1 = f(θ), I2 = f(θ) ~ I 12 = f(θ).

4. The method for adjusting the inclination angle of a photovoltaic array in a tea garden according to claim 1, wherein: The processing of the sample data in step S3 is specifically as follows: Use the image digitization tool in the Orgin software tool to collect the sample data, convert the screenshot into an image in Orgin, and then use the integral in mathematics in the analysis to convert it into data. Perform normalization processing and outlier removal on the data from different sources, and fit the data by the least squares method to obtain A = f1(I), C = f2(I), Pa = f3(I), and W = f4(I).

5. The method for adjusting the inclination angle of a photovoltaic array in a tea garden according to claim 1, wherein: The processing of the sample data in step S6 is specifically as follows: Use Origin to perform image digitization processing on the collected information, and then perform integral operations to obtain multiple sets of data containing tea yield and solar radiation. Fit the data by the least squares method to obtain Y = f(I).

6. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, it implements a method for adjusting the inclination angle of a tea garden photovoltaic array as described in any one of claims 1-5.

7. A computer device, characterized in that: Comprising a memory for storing instructions; a processor for executing the instructions, so that the computer device performs the operations of a method for adjusting the inclination angle of a tea garden photovoltaic array as described in any one of claims 1-5.

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