Installation Method of Electric Heating Film for Assembled Solar Greenhouse

Abstract

The present invention discloses an installation method for electric heating film heating in an assembled solar greenhouse, which relates to the technical field of electric heating film installation. The method includes obtaining the spatial dimension information in the current greenhouse and determining the cultivable area in the greenhouse according to the spatial dimension information; determining the electric heating film laying area and the non-laying area based on the planting plan of crops and in combination with the cultivable area in the greenhouse; obtaining the growth data information of each crop, and the crop growth data at least includes crop plant height, leaf area index and canopy coverage; further optimizing the laying layout of the electric heating film according to the sensitivity of each crop to temperature, planting density and other conditions in the crop demand data, so as to better meet the temperature requirements for crop growth. In summary, through the above steps, the laying of the electric heating film inside the greenhouse and the planting of crops can be scientifically and reasonably planned, and the efficiency and quality of greenhouse planting can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric heating film installation, and more specifically, to an installation method for electric heating film heating in an assembled solar greenhouse. Background Art

[0002] An electric heating film is a thin film material that can generate heat when powered on. When an electric current passes through the electric heating film, the conductive material inside it generates heat due to the resistance effect, and releases heat to the surrounding environment in the form of thermal radiation, thereby increasing the temperature inside the solar greenhouse and creating a relatively suitable growth temperature environment for the crops in the greenhouse.

[0003] In traditional greenhouse cultivation, the electric heating film is usually simply laid flat on the entire ground without considering the specific distribution of the crops. Although this approach can provide a certain amount of heat, it will lead to uneven distribution of energy. Especially when the crop spacing is large or there are no crops in some areas, the heat will be wasted in unnecessary places; since the electric heating film covers the entire ground, even in areas where there are no crops or few crops, these areas will still consume energy for heating, resulting in unnecessary waste of energy. In addition, excessive heat may also affect the growth environment of the crops, causing unnecessary temperature fluctuations. In order to use energy more efficiently, the laying scheme of the electric heating film can be customized according to the actual distribution of the crops. Through precise measurement and planning, the electric heating film is only laid in the areas where there are crops, and avoided laying in the empty or crop-sparse areas, thereby reducing heat waste. Summary of the Invention

[0004] To solve the above problems, the present invention provides an installation method for electric heating film heating in an assembled solar greenhouse.

[0005] The present invention provides an installation method for electric heating film heating in an assembled solar greenhouse, including:

[0006] Obtain the spatial dimension information in the current greenhouse, and determine the cultivable areas in the greenhouse based on the spatial dimension information;

[0007] Based on the planting plan of the crops and combined with the cultivable areas in the greenhouse, determine the electric heating film laying areas and non-laying areas;

[0008] Obtain the growth data information of each crop, and the crop growth data at least includes crop plant height, leaf area index, and canopy coverage;

[0009] According to the electric heating film laying areas and combined with the growth data information of the crops, determine the first planting data and the second planting data of the crops. The first planting data at least includes the planting positions and spacing information of each row and each column of crops, and the second planting data includes the planting density, types of crops in different areas, and their sensitivity to temperature;

[0010] Generate crop demand data based on the first planting data and the second planting data;

[0011] Determine the laying layout of the electric heating film based on the currently obtained crop demand data.

[0012] Preferably, the method for obtaining the plant height of the crop is as follows:

[0013] Arrange a reference object and obtain an image;

[0014] Use image recognition technology to determine the angle of the reference object and calculate the value;

[0015] Determine the number of pixels of the crop plant height in the current image ;

[0016] Preset the actual length of the reference object and the number of pixels of the known reference object in the image ;

[0017] According to the formula , obtain the plant height.

[0018] Preferably, the method for obtaining the canopy coverage of the crop is as follows:

[0019] Select a suitable standard to divide the canopy into h layers according to height;

[0020] For each layer, determine the divided grid cells according to the size and shape of the canopy and the required accuracy ;

[0021] Preset a weight coefficient in advance ;

[0022] Determine the coverage of the grid cells, and the coverage includes the number of covered grid cells and the number of grid cells in this layer ;

[0023] According to the formula Obtain the canopy coverage;

[0024] Among them, is the canopy coverage, which is a percentage value, j is the index used to represent the number of layers, and i is the index used to represent the cells in each layer.

[0025] Preferably, the method for obtaining the leaf area index of the crop is as follows:

[0026] Perform fractal analysis operations on the leaf image;

[0027] Calculate the leaf contour complexity coefficient based on the above fractal analysis operations and the fractal dimension of the leaf ;

[0028] Determine the area-related parameters;

[0029] According to the formula , obtain the leaf area index;

[0030] Wherein, is the leaf area index, is the number of pixels of a single leaf area, is the total number of pixels of the planting area, i is a counting variable, n is the number of leaves within the scope of study, and a is the actual area represented by a single pixel.

[0031] Preferably, after obtaining the growth data information of each crop, the crop growth data at least includes crop plant height, leaf area index, and canopy coverage, and further includes:

[0032] Obtain crop image data for training the model;

[0033] Extract multi-dimensional feature vectors, and the multi-dimensional feature vectors at least include leaf color, leaf shape, and stem characteristics;

[0034] Integrate the multi-dimensional feature vectors and obtain the feature vectors ;

[0035] Establish a training model and determine the corresponding parameters;

[0036] For a new crop image, extract its corresponding feature vector , calculate value, and judge the growth stage category to which the new crop image belongs according to the distance between the calculated value and the decision boundaries of various categories. Wherein, f is a function, is the feature vector of the new crop image, represents the function at the independent variable ;

[0037] Construct a multi-layer feedforward neural network to determine the heat demand distribution.

[0038] Preferably, the method for constructing a multi-layer feedforward neural network to determine the heat demand distribution is specifically:

[0039] The input layer nodes include plant height , leaf area index , canopy coverage , and multiple growth stage dummy variables , and add the environmental temperature , the light intensity I and the soil humidity M environmental factors are used as inputs;

[0040] After passing through one or more hidden layers and performing non-linear transformation using the activation function, the heat demand distribution value is finally obtained in the output layer ;

[0041] According to the formula It is obtained, where is the activation function, are the weight coefficients of each layer, is the bias term, is the number of hidden layers, is the number of nodes in the input layer, represents the input of the m-th neuron in the input layer, represents the number of neurons in the (h - 1)-th hidden layer, represents the weight of the connection between the k-th neuron in the h-th hidden layer and the l-th neuron in the (h - 1)-th hidden layer, is the weight of the connection between the j-th neuron in the output layer and the k-th neuron in the last hidden layer (the th layer), is the bias value of the first hidden layer, is the bias value of the (h - 1)-th hidden layer, is the bias value of the output layer, k is an index variable used to traverse the neurons in the last hidden layer (the th layer), l is also an index variable used to traverse the neurons in the (h - 1)-th hidden layer, i and j are used to represent the positions in the planting area, and h represents the layer number of the hidden layer.

[0042] Preferably, after determining the laying layout of the electrothermal film based on the currently obtained crop demand data, it includes:

[0043] Sequentially splicing and installing single electrothermal film components at predetermined positions;

[0044] After the installation is completed, start the temperature sensor, set an appropriate sampling frequency, and make it continuously collect the temperature data of each area in the greenhouse and transmit the data in real time;

[0045] Obtain the comprehensive growth information of the crops, including but not limited to the growth stage of the crops, the color and morphological changes of the leaves, and the soil humidity;

[0046] After receiving the comprehensive growth data of the crops, determine whether the current temperature environment in the greenhouse meets the crop growth requirements;

[0047] If there is an abnormality, according to the existing temperature adjustment model, combined with the working status and power consumption of each component at present, calculate the combination of electrothermal film components that need to be adjusted and the target heating power increase value of each component, and formulate a detailed adjustment plan to achieve precise temperature compensation and uniformity adjustment;

[0048] In case of crop planting area adjustment, re-plan the working area and layout of the electrothermal film components, and determine the list of components that need to be turned on, turned off or transferred and their corresponding working parameters;

[0049] According to the formulated adjustment plan, send precise control instructions to the target electrothermal film components through the wireless communication module. The instructions include detailed information such as component numbers, power adjustment values, working status switching instructions, and execution time requirements;

[0050] After receiving the control instructions, the electrothermal film components accurately adjust the heating power according to the requirements of the instructions.

[0051] In the second aspect, the present invention provides a drug treatment evaluation system based on AI technology and organ chips. Based on the implementation of the first aspect, it includes: a data measurement module, a region division module, a data analysis module, a data fusion module, a data generation module, and a laying plan module. The above-mentioned modules are connected by wired and / or wireless connection methods to realize data transmission between modules;

[0052] The data measurement module is used to obtain the spatial dimension information in the current greenhouse and determine the cultivable area in the greenhouse according to the spatial dimension information;

[0053] The region division module determines the electrothermal film laying region and non-laying region based on the planting plan of the crops and combined with the cultivable area in the greenhouse;

[0054] The data analysis module is used to obtain the growth data information of each crop. The crop growth data at least includes crop plant height, leaf area index, and canopy coverage;

[0055] The data fusion module is used to determine the first planting data and the second planting data of the crops according to the electrothermal film laying region combined with the growth data information of the crops. The first planting data at least includes the planting positions and spacing information of each row and each column of crops, and the second planting data includes the planting density, types of crops in different regions and their sensitivity to temperature;

[0056] The data generation module generates crop demand data based on the first planting data and the second planting data;

[0057] The laying plan module determines the laying layout of the electrothermal film based on the currently obtained crop demand data.

[0058] In a third aspect, the present invention provides an electronic device, including: a processor and a memory, wherein a computer program that can be called by the processor is stored in the memory; the processor executes to implement the installation method of the electric heating film for the assembled sunlight greenhouse by calling the computer program stored in the memory.

[0059] In a fourth aspect, the present invention provides a computer program product stored on a computer-readable medium, including a computer-readable program, which provides a user input interface to implement the installation method of the electric heating film for the assembled sunlight greenhouse when executed on an electronic device.

[0060] Beneficial effects:

[0061] According to the sensitivity of each crop to temperature, planting density and other conditions in the crop demand data, the laying layout of the electric heating film is planned. For example, in areas with high temperature sensitivity and large planting density, the laying density of the electric heating film is appropriately increased or an electric heating film with a larger power is used to better meet the temperature requirements for crop growth; while for areas with relatively less strict temperature requirements and small planting density, the laying amount of the electric heating film can be appropriately reduced to achieve the purpose of energy conservation and ensuring the normal growth of crops. In summary, through the above steps, the laying of the electric heating film inside the greenhouse and the planting of crops can be scientifically and reasonably planned, improving the efficiency and quality of greenhouse planting. Description of the drawings

[0062] Figure 1 is a flowchart of the installation method of the present invention. Detailed implementation manners

[0063] Application scenario: In traditional greenhouse planting, the electric heating film is usually simply laid flat on the entire ground without considering the specific distribution of crops. Although this approach can provide a certain amount of heat, it will lead to uneven distribution of energy. Especially in cases where the crop spacing is large or there are no crops in some areas, the heat will be wasted in unnecessary places; since the electric heating film covers the entire ground, even in areas where there are no crops or few crops, these areas will still consume energy for heating, resulting in unnecessary waste of energy. In addition, excessive heat may also affect the growth environment of crops, causing unnecessary temperature fluctuations. In order to use energy more efficiently, the laying scheme of the electric heating film can be customized according to the actual distribution of crops. Through precise measurement and planning, the electric heating film is only laid in areas with crops, avoiding laying in empty or crop-sparse areas, thereby reducing heat waste.

[0064] As Figure 1 shown: The installation method of the electric heating film for the assembled sunlight greenhouse includes:

[0065] Obtain the spatial dimension information of the current greenhouse, and determine the cultivable area in the greenhouse based on the spatial dimension information. It should be noted that the length, width, and height of the greenhouse are accurately measured by professional measuring tools (such as laser rangefinders, etc.), and the corresponding values are recorded. These values constitute the spatial dimension information of the greenhouse. For example, the measured length of the greenhouse is 30 meters, the width is 15 meters, the height is 3 meters, etc.

[0066] Furthermore, some non-cultivable factors inside the greenhouse need to be considered, such as the aisle area (usually reserved for space for personnel to pass, work, and equipment handling, etc., generally with a width of about 0.8 - 1.5 meters), the equipment placement area (such as the space occupied by irrigation equipment, ventilation equipment, etc.). After excluding these areas, the remaining space is the cultivable area. For example, if the total area of the greenhouse is 450 square meters, and the aisle and equipment areas together account for 50 square meters, then the planting area is 400 square meters.

[0067] Based on the planting plan of the crops and combined with the cultivable area in the greenhouse, determine the electrothermal film laying area and the non-laying area. It should be noted that according to the planting plan, determine which crops to plant, the planting scale of each crop, etc. For example, it is planned to plant tomatoes, cucumbers, and lettuce. The planting area of tomatoes accounts for half, and cucumbers and lettuce each account for a quarter, etc., and the planting plan is set in advance and can be known in advance.

[0068] Furthermore, combined with the cultivable area in the greenhouse, consider some crop planting areas that are sensitive to temperature and require key temperature protection, or areas in the greenhouse where the temperature is relatively low and the heat dissipation is relatively fast (such as positions near the edge and corner of the greenhouse), and lay electrothermal films in these areas, while other areas with relatively lower temperature requirements and relatively suitable natural temperature conditions can be listed as non-laying areas. For example, lay electrothermal films in most areas of the tomato planting area, and the middle part of the lettuce planting area can not be laid with electrothermal films because the temperature is relatively stable.

[0069] Obtain the growth data information of each crop. The crop growth data at least includes crop plant height, leaf area index, and canopy coverage.

[0070] According to the electrothermal film laying area and combined with the growth data information of the crops, determine the first planting data and the second planting data of the crops. The first planting data at least includes the planting position and spacing information of each row and each column of crops, and the second planting data includes the planting density, variety, and temperature sensitivity of crops in different areas.

[0071] It should be noted that in the area where the electrothermal film is laid, the planting positions of crops in each row and column should be determined based on factors such as the growth characteristics of the crops and the heating range of the electrothermal film, so as to avoid the crops being planted in key parts such as the connection lines of the electrothermal film, which may affect its normal use. At the same time, appropriate spacing should be considered according to the plant height and canopy coverage of the crops to ensure that the crops have sufficient growth space and ventilation and light transmission conditions. For example, for tomatoes with relatively high plant height and wide canopy, the row spacing in the area where the electrothermal film is laid can be set to 0.6 - 0.8 meters, and the column spacing is 0.4 - 0.5 meters; while for relatively short crops such as lettuce, the row spacing is 0.3 - 0.4 meters, and the column spacing is 0.2 - 0.3 meters;

[0072] Furthermore, according to the different types of crops planned to be planted in different areas, the planting density is determined by combining their growth data. When cucumbers are cultivated by trellising, the planting density can be appropriately larger, with 3 - 4 plants per square meter; while for tomatoes, 2 - 3 plants per square meter, etc.; At the same time, clarify the sensitivity of the crops in each area to temperature. For example, strawberries are relatively more afraid of low temperature and have a high sensitivity to temperature, and can be key planted in the area where the electrothermal film is laid to ensure the temperature; while some cold-tolerant leafy vegetables have a relatively low sensitivity to temperature.

[0073] Generate crop demand data based on the first planting data and the second planting data; It should be noted that the first planting data and the second planting data are integrated and summarized to generate crop demand data that includes detailed planting positions, spacing, density, sensitivity to temperature, etc. of each crop, forming a systematic data set that can guide planting operations and subsequent temperature regulation and other work.

[0074] Determine the laying layout of the electrothermal film based on the currently obtained crop demand data. It should be noted that according to the sensitivity of each crop to temperature, planting density, etc. in the crop demand data, the laying layout of the electrothermal film is further optimized. For example, in areas with high sensitivity to temperature and large planting density, appropriately increase the laying density of the electrothermal film or use electrothermal films with higher power to better meet the temperature requirements for crop growth; while for areas with relatively less strict temperature requirements and small planting density, the laying amount of the electrothermal film can be appropriately reduced to achieve the purpose of energy conservation and ensuring the normal growth of crops;

[0075] In summary, through the above steps, the laying of the electrothermal film inside the greenhouse and the planting of crops can be scientifically and reasonably planned, improving the efficiency and quality of greenhouse planting.

[0076] As a further embodiment, the method for obtaining the plant height of the crops is as follows:

[0077] Arrange reference objects and obtain images; It should be noted that in a greenhouse environment, reference objects with known angles, such as an inclined ruler, are reasonably arranged, and then the corresponding camera equipment is used to shoot the area containing the reference objects and the crops whose plant height needs to be measured to obtain image data.

[0078] Use image recognition technology to determine the reference angle and calculate value; it should be noted that the captured image is imported into professional image recognition software or tools, and the reference object in the image is identified and the angle is analyzed through image recognition technology to determine the angle presented by the reference object in the image, and then the trigonometric function relationship is used to calculate the value. The value of It is the angle between the camera shooting angle and the vertical direction.

[0079] Determine the number of crop plant height pixels in the current image ; It should be noted that it is determined by the image recognition algorithm; when processing the crop image, the algorithm will identify the outline of the crop plant based on the differences in color, texture, etc. between the crop plant and the surrounding environment; then, in the image coordinate system, determine the pixel position corresponding to the highest and lowest points of the plant, and the pixel difference between the two points is .

[0080] Preset reference actual length and the number of pixels of known reference objects in the image It should be noted that a reference object of known size, such as a ruler of standard length, is installed in the greenhouse; the pixel length of the ruler in the image is determined by image recognition to obtain , which is the actual physical length of the reference object, which is known in advance (such as the ruler length is 10 cm).

[0081] According to the formula It should be noted that in actual scenes such as greenhouse environments, perspective distortion will occur due to the camera shooting angle, which will result in large errors in directly measuring plant height. By introducing the shooting angle and performing correction calculations, the actual plant height of the crop can be restored more accurately, providing reliable data support for the subsequent laying of electric heating film.

[0082] It should be understood that taller plants are relatively farther away from the electric heating film on the ground, and there will be losses in the process of heat transfer upward. Considering the plant height can reasonably arrange the power or laying density of the electric heating film to ensure that all parts of the plant, especially the upper part, can obtain enough heat to meet the growth needs;

[0083] If the plant height is not taken into consideration, the heat may be insufficient in the taller parts of the plant, while the bottom near the electric heating film may be locally overheated because the distance is too close, which will cause damage to the root system of the plant.

[0084] As a further embodiment, the method for obtaining the crop canopy coverage is as follows:

[0085] Select a suitable criterion to divide the canopy into h layers according to height; for example, it can be divided at equal height intervals, or stratified according to the plant growth characteristics (such as the main canopy distribution areas at different growth stages).

[0086] For each layer, determine the divided grid cells according to the size and shape of the canopy and the required accuracy ; for example, the division of the grid cells should be as uniform as possible and cover the entire canopy plane. The shape can be square, rectangular or other regular shapes, and the size can be determined according to the actual canopy situation and the measurement accuracy requirements.

[0087] Preset a weight coefficient ; it should be understood that the role of different canopies in the heat transfer and exchange process is considered. The upper canopy absorbs more heat during the day and dissipates heat faster at night, which plays an important role in regulating the overall temperature of the plant. The weight can be determined according to the contribution degree of each layer of the canopy in the heat balance process. For example, by establishing a heat exchange model, simulating the heat transfer situation of different canopies under different environmental conditions (such as day-night temperature difference, wind speed, etc.), and determining the weight coefficient according to its importance to the plant temperature;

[0088] For example, design an experiment to plant crops under different canopy coverage conditions, keep other growth conditions (such as soil fertility, irrigation amount, etc.) the same, observe and record the growth indexes of the crops under each layer of canopy structure, such as plant height, leaf area, yield, etc. By statistically analyzing these data, find the correlation between the influence of each canopy on the crop growth indexes, and then determine the weight coefficient. For example, if a certain layer of the canopy contributes 30% to the total plant height increase, an appropriate proportion of weight can be considered for this layer when determining the weight.

[0089] Determine the coverage of the grid cells, and the coverage includes the number of covered grid cells and the number of grid cells in this layer ; it should be understood that in actual operation, the canopy image can be taken by a camera, and the vegetation coverage in each grid cell can be identified by using image processing software, or counted manually on-site.

[0090] According to the formula Obtain the canopy coverage;

[0091] where is the canopy coverage, which is a percentage value, j is the index used to represent the layer number, and i is the index used to represent the cells in each layer.

[0092] It should be understood that, first, the double summation parts of the numerator and the denominator are calculated separately: for the numerator, the values of i for each grid cell in each layer j are calculated in sequence, and these values for all layers are accumulated; for the denominator, the values of i for each grid cell in each layer j are similarly calculated and accumulated; and then, the accumulated result of the numerator is divided by the accumulated result of the denominator, and then multiplied by 100% to obtain the final canopy coverage value, and the result is expressed in percentage form, reflecting the coverage degree of the canopy in the entire study area.

[0093] It should be understood that the canopy coverage reflects the spatial distribution density of the plant branches and leaves. If the canopy coverage is high, it indicates that the branches and leaves are relatively dense, and the heat shielding situation of the upper and lower layers of leaves is relatively complex. Considering the canopy coverage can ensure that the heat generated by the electric heating film can penetrate the canopy, enabling the leaves and plant parts at different levels to be evenly heated, and promoting the growth of the entire plant; Understanding the canopy coverage can accurately lay the electric heating film and control the heat output according to the actual branch and leaf distribution situation, avoiding overheating in areas without plants or with sparse branches and leaves, thereby achieving the purpose of energy conservation and better meeting the heat requirements of plants.

[0094] As a further embodiment, the method for obtaining the leaf area index of the crop is as follows:

[0095] Perform fractal analysis operations on the leaf images; it should be understood that professional image analysis methods are used for analysis.

[0096] Based on the above fractal analysis operations, the leaf contour complexity coefficient

[0097] and the fractal dimension of the leaves are calculated

[0098] ; Determine the area-related parameters; ;

[0099] According to the formula

[0100] , the leaf area index is obtained; wherein,

[0101] is the leaf area index, is the number of pixels of the single leaf area, is the number of pixels of the total area of the planting area, i is a counting variable, n is the number of leaves within the research scope, and a is the actual area represented by a single pixel; it should be noted that, represents the sum of the plane areas of each part of the leaves and can be obtained through corresponding measurement or calculation means, ​is the total number of pixels in the planting area, and a is the actual area represented by a single pixel.

[0102] It should be noted that is the number of pixels in the single leaf area, is the total number of pixels in the planting area. Through an image recognition algorithm, the leaves are segmented from the background based on features such as the color, shape, and texture of the leaves. Then, is obtained by calculating the number of pixels contained in the leaf image area . For the total number of pixels in the planting area , it can be determined according to the pixel range of the boundary of the greenhouse planting area in the image;

[0103] i is a counting variable, which is used to number the leaves (or the units into which the leaves are divided), starting from 1 and ending at n. Therefore, represents the (which may be the projected area or the effective photosynthesis area of a single leaf, etc.) of all n leaves (or leaf units) for summation. That is, i helps us traverse the areas related to all the individual leaves to be calculated to obtain the value related to the total area;

[0104] For example, when studying the leaf area index of a forest, n may be the number of all leaves on the sample trees selected in this forest; if a single leaf is divided into multiple small units for research, n is the number of these small units. is the quantity related to the area of these n leaves (or leaf units) for summation.

[0105] The actual area a represented by a single pixel needs to be obtained through calibration; a standard object with a known area, such as a square card with a known side length, can be placed in the planting area. The pixel area of the card in the image is determined through image recognition, thereby calculating the actual area represented by a single pixel;

[0106] Leaf contour complexity coefficient and the fractal dimension of the leaf , a fractal analysis of the leaf image needs to be performed. The fractal analysis algorithm can calculate the fractal dimension by continuously subdividing and measuring the leaf contour , is a coefficient obtained based on experience or through fitting experimental data of leaves with different complexities, and it is related to factors such as the morphology of the leaves and the serrations on the edges.

[0107] It should be understood that the leaf area size directly affects the heat absorption of plants; a larger leaf area can absorb more heat. Therefore, it is necessary to adjust the heat output of the electrothermal film according to the leaf area so that plants can make full use of heat for physiological activities such as photosynthesis, while avoiding insufficient heat supply or waste.

[0108] A large leaf area means that the air circulation around the plant may be hindered to a certain extent; reasonably considering the leaf area can help avoid heat accumulation around the leaves due to poor air circulation, which affects normal physiological processes such as the plant's respiration.

[0109] As a further embodiment, after obtaining the growth data information of each crop, the crop growth data at least includes crop plant height, leaf area index, and canopy coverage, and further includes:

[0110] Obtaining crop image data materials for training the model;

[0111] Extracting multi-dimensional feature vectors, the multi-dimensional feature vectors at least include leaf color, leaf shape, and stem features; it should be noted that when analyzing the leaf color, the RGB value distribution features are extracted, such as the proportion of different color components on the leaf, etc.; through the method of ellipse fitting, the corresponding fitting parameters are obtained to characterize the leaf shape characteristics; the thickness of the stem is measured, and the texture features of the stem are analyzed, such as the direction and density of the texture.

[0112] Integrating the multi-dimensional feature vectors and obtaining the feature vectors ; it should be understood that the above includes features of multiple dimensions; for the RGB value distribution features of the leaf color, they can be obtained by statistically analyzing the pixel color values in the leaf area of the image. The ellipse fitting parameters of the leaf shape can be obtained by fitting an ellipse to the leaf contour to obtain parameters such as the major axis, minor axis, and eccentricity of the ellipse. The thickness and texture features of the stem can be analyzed by analyzing the stem image, such as calculating the number of pixel diameters of the stem and the gray change frequency of the texture. These features constitute the feature vectors for judging the growth stage.

[0113] Building a training model and determining the corresponding parameters; it should be understood that the support vector machine (SVM) algorithm is used to construct a multi-classification model, clarify the number of support vectors , finding the corresponding Lagrange multipliers , determining the class labels of the training samples , selecting from appropriate kernel function types, such as the radial basis function , determining the bias term , through the above-determined parameters, finding the optimal hyperplane decision function ;

[0114] It should be further noted that the number of the above-mentioned explicit support vectors , find the corresponding Lagrange multipliers , and determine the class labels of the training samples and other parameters are automatically determined by an optimization algorithm according to the training data set during the training process of the support vector machine.

[0115] For a new crop image, extract its corresponding feature vector , calculate the value of, and judge the growth stage category to which the new crop image belongs according to the distance between the calculated value and the decision boundaries of each category. Among them, f is a function is the feature vector of the new crop image represents the function when the independent variable is ;

[0116] Construct a multi-layer feedforward neural network to determine the heat demand distribution.

[0117] As a further embodiment, the method for constructing a multi-layer feedforward neural network to determine the heat demand distribution is specifically as follows:

[0118] The input layer nodes include plant height , leaf area index , canopy coverage and multiple growth stage dummy variables , and environmental temperature , light intensity I, and soil moisture M environmental factors are added as inputs;

[0119] After passing through one or more hidden layers, perform non-linear transformation using an activation function, and finally obtain the heat demand distribution value at the output layer; it should be understood that the number of hidden layer nodes is determined according to the actual situation, and the activation function can be selected such as the ReLU function represents the heat demand at the position of the i-th row and the j-th column in the planting area.

[0120] Obtained according to the formula , where is the activation function are the weight coefficients of each layer is the bias term is the number of hidden layers is the number of input layer nodes represents the input of the m-th neuron in the input layer represents the number of neurons in the h-1-th hidden layer Denotes the weight of the connection between the k-th neuron in the h-th hidden layer and the l-th neuron in the (h - 1)-th hidden layer. Is the weight of the connection between the j-th neuron in the output layer and the k-th neuron in the last hidden layer (the layer). The bias value of the first hidden layer. Is the bias value of the (h - 1)-th hidden layer. The bias value of the output layer. k is an index variable used to traverse the neurons in the last hidden layer (the layer), and l is also an index variable used to traverse the neurons in the (h - 1)-th hidden layer. i and j are used to represent positions in the planting area, and h represents the layer number of the hidden layer.

[0121] It should be noted that the number of input layer nodes The neural network is trained with a large amount of historical data and experimental data, and the weight coefficients are continuously adjusted to achieve accurate prediction and modeling of the heat demand distribution, and can more comprehensively and dynamically consider the complex influence relationship of various factors on the crop heat demand.

[0122] As a further embodiment, after determining the laying layout of the electric heating film based on the currently obtained crop demand data, it includes:

[0123] The single electric heating film components are successively spliced and installed at the predetermined positions; it should be understood that according to the actual layout and planting requirements of the greenhouse, the preliminary laying plan of the electric heating film components is planned to ensure a reasonable coverage range and no omission areas. Subsequently, ensure that the connection parts are closely fitted to prevent leakage and heat dissipation. At the same time, check whether the temperature sensors and power adjustment modules of each component are installed correctly and without damage. After all components are installed, establish a wireless communication network between the central control unit and each electric heating film component, perform network configuration and debugging to ensure stable and reliable communication, and number each component and set the initial parameters to make it in the standby state, completing the construction and initialization work of the entire system.

[0124] After the installation is completed, start the temperature sensor, set an appropriate sampling frequency (for example, collect once every 10 minutes), so that it continuously collects the temperature data of each area in the greenhouse and transmits the data in real time.

[0125] Obtain the comprehensive growth information of the crops, including but not limited to the growth stage of the crops, the color and morphological changes of the leaves, and the soil humidity; specifically, at the same time, through the linkage with other agricultural monitoring devices (such as light sensors, humidity sensors, cameras, etc.), obtain the comprehensive growth information of the crops, including but not limited to the growth stage of the crops, the color and morphological changes of the leaves, the soil humidity, etc. These information are also transmitted to the central control unit for integrated analysis.

[0126] After receiving the comprehensive growth data of crops, it is judged whether the temperature environment of the current greenhouse meets the growth requirements of the crops; specifically, the central control unit is built-in with advanced intelligent control system software, which presets the suitable temperature range, temperature uniformity requirements and strategy models for various emergencies at each growth stage of different crops, and then judges whether there are abnormal situations such as too large local temperature differences, overall temperature deviation from the suitable range or changes in the crop planting area.

[0127] If there are abnormalities, according to the existing temperature adjustment model, combined with the working status and power consumption of each component at present, calculate the combination of electrothermal film components that need to be adjusted and the target heating power increase value of each component, and formulate a detailed adjustment plan to achieve precise temperature compensation and uniformity adjustment;

[0128] It should be noted that the temperature adjustment model at least includes:

[0129] 1. Mechanism model based on energy balance:

[0130] Principle: Establish a balance equation according to the heat income and expenditure of the greenhouse, consider the influence of factors such as solar radiation, heat supply of heating equipment, ventilation heat dissipation, and heat transfer of the enclosure structure on the greenhouse temperature, and determine the heating amount that needs to be adjusted through calculation and analysis to maintain the suitable temperature;

[0131] 2. Model based on crop growth stage:

[0132] Principle: Different crops have different suitable temperature ranges and requirements at different growth stages. Set the corresponding target temperature according to the growth stage of the crops, and adjust when the actual temperature deviates from the target temperature;

[0133] 3. Model based on local temperature difference in the greenhouse:

[0134] Principle: For the situation of local overheating or overcooling that may occur inside the greenhouse, by analyzing the temperature data of different regions collected by temperature sensors, determine the temperature non-uniform region, and independently adjust the electrothermal film components in the corresponding region to achieve uniform temperature distribution, etc.

[0135] In case of adjustment of the crop planting area, re-plan the working area and layout of the electrothermal film components, and determine the list of components that need to be turned on, turned off or transferred to work and their corresponding working parameters;

[0136] According to the formulated adjustment plan, send precise control instructions to the target electrothermal film components through the wireless communication module. The instructions include detailed information such as component numbers, power adjustment values, working status switching instructions (such as switching from standby to working, increasing power, decreasing power, turning off, etc.) and execution time requirements;

[0137] After the electrothermal film component receives a control instruction, (the built-in power adjustment module in it responds quickly) and precisely adjusts the heating power according to the instruction requirements.

[0138] Furthermore, the temperature sensor continuously monitors the temperature change in the area and feeds back the real-time temperature data to the central control unit, so that the central control unit can conduct real-time evaluation and further optimization of the adjustment effect, ensuring that the temperature environment of the entire greenhouse can quickly and stably reach a state suitable for crop growth, and continuously maintain stability and uniformity during subsequent operation, effectively coping with various possible emergencies and providing reliable temperature guarantee for the healthy growth of crops.

[0139] In a second aspect, the present invention provides an assembled solar greenhouse electrothermal film heating installation system, which is based on the implementation of the first aspect and includes: a data measurement module, a region division module, a data analysis module, a data fusion module, a data generation module, and a laying planning module. The above-mentioned various modules are connected in a wired and / or wireless connection manner to realize data transmission between the modules;

[0140] The data measurement module is used to obtain the spatial dimension information in the current greenhouse and determine the cultivable area in the greenhouse according to the spatial dimension information;

[0141] The region division module determines the electrothermal film laying region and the non-laying region based on the planting plan of the crops and in combination with the cultivable area in the greenhouse;

[0142] The data analysis module is used to obtain the growth data information of each crop, and the crop growth data at least includes crop plant height, leaf area index, and canopy coverage;

[0143] The data fusion module is used to determine the first planting data and the second planting data of the crops according to the electrothermal film laying region in combination with the growth data information of the crops. The first planting data at least includes the planting positions and spacings of crops in each row and each column, and the second planting data includes the planting densities, types of crops in different regions, and their sensitivity to temperature;

[0144] The data generation module generates crop demand data based on the first planting data and the second planting data;

[0145] The laying planning module determines the laying layout of the electrothermal film based on the currently obtained crop demand data.

[0146] This embodiment provides an electronic device, comprising: a processor and a memory, wherein a computer program that can be called by the processor is stored in the memory; the processor executes the installation method of the electric heating film for the assembled solar greenhouse by calling the computer program stored in the memory.

[0147] This embodiment also provides a computer program product stored on a computer-readable medium, including a computer-readable program, which provides a user input interface to implement the installation method of the electric heating film for the assembled solar greenhouse when executed on an electronic device.

[0148] It should be understood that in various embodiments of the present application, the magnitudes of the serial numbers of the above processes do not mean the sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0149] The above is only the preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions falling within the idea of the present invention belong to the protection scope of the present invention. It should be pointed out that for those of ordinary skill in the art, several improvements and refinements made without departing from the principle of the present invention should also be regarded as within the protection scope of this template.

Claims

1. Installation method of electric heating film for assembled solar greenhouse, characterized in that, Including: Obtain the spatial dimension information of the current greenhouse, and determine the cultivable area in the greenhouse according to the spatial dimension information; Based on the planting plan of the crops and combined with the cultivable area in the greenhouse, determine the electrothermal film laying area and the non-laying area; Obtain the growth data information of each crop, and the crop growth data at least includes crop plant height, leaf area index and canopy coverage; The method for obtaining the leaf area index of the crop is: Carry out fractal analysis on the leaf image; The complexity coefficient of the blade profile is calculated based on the above fractal analysis operation and the fractal dimension of the blade ; Determine the area-related parameters; According to the formula , the leaf area index is obtained; wherein, is the leaf area index, is the number of pixels of a single leaf area, is the total number of pixels of the planting area, is a counting variable, n is the number of leaves within the studied range, and a is the actual area represented by a single pixel; According to the laying area of the electrothermal film and combined with the growth data information of the crops, determine the first planting data and the second planting data of the crops. The first planting data at least includes the planting positions and spacing information of each row and each column of crops, and the second planting data includes the planting density, variety and temperature sensitivity of crops in different areas; Generate crop demand data based on the first planting data and the second planting data; Determine the laying layout of the electrothermal film based on the currently obtained crop demand data; After obtaining the growth data information of each crop, and the crop growth data at least includes crop plant height, leaf area index and canopy coverage, it further includes: Obtain the crop image data for training the model; Extract multi-dimensional feature vectors, and the multi-dimensional feature vectors at least include leaf color, leaf shape, and stem features; Integrate the multi-dimensional feature vectors and obtain the feature vectors ; Establish a training model and determine the corresponding parameters; For a new crop image, extract its corresponding feature vector , calculate value, and judge the growth stage category to which the new crop image belongs according to the distance between the calculated value and the decision boundaries of various categories is a function is the feature vector of the new crop image represents the function when the independent variable is function value Construct a multi-layer feedforward neural network to determine the heat demand distribution; The method for constructing a multi-layer feedforward neural network to determine the heat demand distribution is specifically: The input layer nodes include plant height , leaf area index , canopy coverage and multiple growth stage dummy variables , and environmental temperature , light intensity I, and soil moisture M environmental factors are used as inputs; After passing through one or more hidden layers, a non-linear transformation is performed using an activation function, and finally the heat demand distribution value is obtained at the output layer ; Indicates the heat requirement at the row and column position in the planting area; After determining the laying layout of the electrothermal film based on the currently obtained crop demand data, it includes: Splice and install single electrothermal film components at predetermined positions in sequence; After the installation is completed, start the temperature sensor, set an appropriate sampling frequency, so that it continuously collects the temperature data of each area in the greenhouse and transmits the data in real time; Obtain the comprehensive growth information of the crops, including but not limited to the growth stage of the crops, the color and morphological changes of the leaves, and the soil humidity; After receiving the comprehensive growth information of the crops, judge whether the temperature environment of the current greenhouse meets the growth requirements of the crops; If there is an abnormality, according to the existing temperature adjustment model, combined with the working status and power consumption of each current component, calculate the electrothermal film component combination that needs to be adjusted and the target heating power increase value of each component, and formulate a detailed adjustment plan to achieve precise temperature compensation and uniformity adjustment; In case of crop planting area adjustment, re-plan the working area and layout of the electrothermal film components, and determine the list of components that need to be turned on, turned off or transferred and their corresponding working parameters; According to the formulated adjustment plan, send precise control instructions to the target electrothermal film components through the wireless communication module. The control instructions include detailed information such as component numbers, power adjustment values, working status switching instructions, and execution time requirements; After receiving the control instructions, the electrothermal film components accurately adjust the heating power according to the requirements of the control instructions.

2. The installation method of the electric heating film for the assembled solar greenhouse according to claim 1, characterized in that The method for obtaining the plant height of the crop is: Arrange a reference object and obtain an image; Determine the angle of the reference object using image recognition technology and calculate to obtain value; Determine the number of pixels of the crop plant height in the current image ; Actual length of the preset reference object and the number of pixels of the known reference object in the image ; According to the formula , the plant height is obtained.

3. Assembled solar greenhouse electric film heating installation system, characterized in that, It is implemented based on the assembly type solar greenhouse electrothermal film heating installation method described in any one of claims 1-2, and includes: a data measurement module, a region division module, a data analysis module, a data fusion module, a data generation module, and a laying planning module. The above-mentioned modules are connected by wired and / or wireless connection methods to realize data transmission between the modules; The data measurement module is used to obtain the spatial dimension information in the current greenhouse and determine the plantable area in the greenhouse according to the spatial dimension information; The region division module determines the electrothermal film laying region and the non-laying region based on the planting plan of the crops and in combination with the plantable area in the greenhouse; The data analysis module is used to obtain the growth data information of each crop, and the crop growth data at least includes the plant height, leaf area index, and canopy coverage of the crop; The data fusion module is used to determine the first planting data and the second planting data of the crops according to the laying region of the electrothermal film in combination with the growth data information of the crops. The first planting data at least includes the planting positions and spacing information of each row and each column of crops, and the second planting data includes the planting density, types of crops in different regions, and their sensitivity to temperature; The data generation module generates crop demand data based on the first planting data and the second planting data; The laying planning module determines the laying layout of the electrothermal film based on the currently obtained crop demand data.

4. An electronic device, characterized in that, It includes: A processor and a memory. Among them, the memory stores a computer program that can be called by the processor; the processor executes to implement the assembly type solar greenhouse electrothermal film heating installation method described in any one of claims 1-2 by calling the computer program stored in the memory.

5. A computer program product stored on a computer-readable medium, characterized in that: It includes a computer-readable program, which provides a user input interface when executed on an electronic device to implement the assembly type solar greenhouse electrothermal film heating installation method described in any one of claims 1-2.

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