Assembly type solar greenhouse electrothermal film heating installation method

Abstract

The invention discloses an assembly type solar greenhouse electrothermal film heating installation method, and relates to the technical field of electrothermal film installation, and the method comprises the steps: obtaining the spatial size information of a current greenhouse, and determining a planting area in the greenhouse according to the spatial size information; determining an electrothermal film laying area and a non-laying area based on the crop planting plan and in combination with a plantable area in the greenhouse; obtaining growth data information of each crop, wherein the crop growth data at least comprises crop plant height, leaf area index and canopy coverage; the method further optimizes the laying layout of the electrothermal film according to the sensitive degree of each crop to the temperature, the planting density and other conditions in the crop demand data, so as to better meet the demand of crop growth to the temperature, and in conclusion, through the steps, the laying of the electrothermal film in the greenhouse and the planting of the crops can be scientifically and reasonably planned; and the greenhouse planting benefit and quality are improved.

Description

Technical Field

[0001] The 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] The electric heating film is a thin film material that can generate heat when electricity is applied. When current passes through the electric heating film, the conductive material inside it will generate heat due to resistance, and release 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. In traditional greenhouse cultivation, 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 when the spacing between crops is large or there are no crops in some areas, heat will be wasted in unnecessary places; because the electric heating film covers the entire ground, even if there are no crops or fewer crops in some areas, 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 and cause unnecessary temperature fluctuations. In order to use energy more efficiently, the laying plan of electric heating film can be customized according to the actual distribution of crops. Through precise measurement and planning, electric heating film is only laid in areas with crops, avoiding laying in open areas or areas with sparse crops, thereby reducing heat waste. Summary of the invention

[0003] In order to solve the above problems, the present invention provides an installation method for assembled solar greenhouse electric heating film heating.

[0004] The present invention provides an assembly type solar greenhouse electric heating film heating installation method, comprising: Obtain the space size information of the current greenhouse, and determine the planting area in the greenhouse based on the space size information; Based on the crop planting plan and combined with the planting area in the greenhouse, determine the areas where the electric heating film is laid and the areas where it is not laid; Acquire growth data information of each crop, wherein the crop growth data at least includes crop plant height, leaf area index and canopy coverage; Determine first planting data and second planting data of crops according to the laying area of ​​the electric heating film and the growth data information of the crops, wherein 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, type and temperature sensitivity of crops in different areas; generating crop demand data based on the first planting data and the second planting data; The laying layout of the electric heating film is determined based on the current crop demand data.

[0005] Preferably, the plant height of the crop is obtained by: Arrange reference objects and acquire images; Use image recognition technology to determine the reference angle and calculate value; Determine the number of crop plant height pixels in the current image ; Preset reference actual length and the number of pixels of known reference objects in the image ; According to the formula , and the plant height is obtained.

[0006] Preferably, the crop canopy coverage is obtained by: Select appropriate criteria to divide the canopy into h layers according to height; For each layer, the grid cells are determined based on the size and shape of the canopy and the required accuracy. ; Preset a weight coefficient ; Determine the coverage of the grid cells, including the number of grid cells covered And the number of grid cells in this layer ; According to the formula Determine the canopy coverage; in, is the canopy coverage, a percentage value, j is the index used to represent the number of layers, and i is the index used to represent the unit in each layer.

[0007] Preferably, the leaf area index of the crop is obtained by: Carry out fractal analysis operations on leaf images; The blade contour complexity coefficient is calculated based on the above fractal analysis operation And the fractal dimension of the leaf ; Determine area-related parameters; According to the formula , and the leaf area index is obtained; in, is the leaf area index, is the number of pixels of a single leaf area, is the total number of pixels in the planting area, i is a counting variable, n is the number of leaves in the studied area, and a is the actual area represented by a single pixel.

[0008] Preferably, the acquisition of growth data information of each crop, wherein the crop growth data at least includes crop plant height, leaf area index and canopy coverage, further includes: Obtain crop image data for training models; Extracting a multi-dimensional feature vector, wherein the multi-dimensional feature vector includes at least features of leaf color, leaf shape, and stem; Integrate the multi-dimensional feature vectors and obtain the feature vector ; Establish a training model and determine the corresponding parameters; For a new crop image, extract its corresponding feature vector ,calculate The value of is used to determine the growth stage category of the new crop image based on the distance between the calculated value and the decision boundary of each category. Where f is a function, is the new crop image feature vector, It means that the function f has The function value when ; A multi-layer feed-forward neural network is constructed to determine the heat demand distribution.

[0009] Preferably, the method of 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 add the ambient temperature , light intensity , soil moisture Environmental factors as input; After one or more hidden layers, the activation function is used for nonlinear transformation, and finally the heat demand distribution value is obtained at the output layer. ; According to the formula It is concluded that, is the activation function, is the weight coefficient 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 mth neuron in the input layer, represents the number of neurons in the h-1th hidden layer, represents the weight of the connection between the kth neuron in the hth hidden layer and the lth neuron in the h-1th hidden layer, is the jth neuron in the output layer and the last hidden layer ( The weights of the connections between the k-th neurons in the layer, The bias value of the first hidden layer, is the bias value of the h-1th hidden layer, The bias value of the output layer, k is an index variable used to traverse the last hidden layer ( layer), l is also an index variable used to traverse the neurons in the h-1th hidden layer, i and j are used to indicate the position in the planting area, and h represents the layer number of the hidden layer.

[0010] Preferably, the step of determining the layout of the electric heating film based on the currently obtained crop demand data includes: Splice and install the individual electric heating film components in the predetermined positions one by one; After installation, start the temperature sensor and set a suitable sampling frequency so that it can continuously collect temperature data from various areas in the greenhouse and transmit the data in real time; Obtain comprehensive information on crop growth, including but not limited to crop growth stages, leaf color and morphological changes, and soil moisture; After receiving the comprehensive growth data of crops, determine whether the current temperature environment of the greenhouse meets the growth requirements of crops; If there is an abnormality, according to the existing temperature regulation model, combined with the current working status and power consumption of each component, calculate the combination of electric heating 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 accurate temperature compensation and uniformity adjustment; If the crop planting area is adjusted, the working area and layout of the electric heating film components will be replanned, and the list of components that need to be turned on, off or transferred and their corresponding working parameters will be determined; According to the formulated adjustment plan, precise control instructions are sent to the target electric heating film component through the wireless communication module. The instructions contain detailed information such as component number, power adjustment value, working state switching instruction and execution time requirement; After receiving the control instruction, the electric heating film component accurately adjusts the heating power according to the instruction requirements.

[0011] In a second aspect, the present invention provides a drug treatment evaluation system based on AI technology and organ chips, 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, wherein the above modules are connected by wired and / or wireless connection to achieve data transmission between the modules; The data measurement module is used to obtain the spatial dimension information of the current greenhouse and determine the planting area in the greenhouse based on the spatial dimension information; The area division module determines the areas where the electric heating film is laid and the areas where it is not laid based on the crop planting plan and the planting area in the greenhouse; A data analysis module is used to obtain growth data information of each crop, wherein the crop growth data at least includes crop plant height, leaf area index and canopy coverage; A data fusion module, used to determine first planting data and second planting data of crops according to the laying area of ​​the electric heating film combined with the growth data information of the crops, wherein 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, type and temperature sensitivity of crops in different areas; A data generation module, generating crop demand data based on the first planting data and the second planting data; The laying planning module determines the laying layout of the electric heating film based on the current crop demand data.

[0012] In a third aspect, the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes a method for installing electric heating film in an assembled solar greenhouse by calling the computer program stored in the memory.

[0013] In a fourth aspect, the present invention provides a computer program product stored on a computer-readable medium, including a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement an installation method for electric heating film in an assembled solar greenhouse. Beneficial Effects

[0014] The layout of the electric heating film is planned according to the temperature sensitivity, planting density and other conditions of each crop in the crop demand data. For example, in areas with high temperature sensitivity and high planting density, the laying density of the electric heating film is appropriately increased or a higher-power electric heating film is used to better meet the temperature requirements of crop growth; and for areas with less stringent temperature requirements and low planting density, the amount of electric heating film can be appropriately reduced to achieve energy saving and ensure the normal growth of crops. In summary, through the above steps, the laying of electric heating film inside the greenhouse and the planting of crops can be scientifically and rationally planned to improve the efficiency and quality of greenhouse planting. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the installation method of the present invention. DETAILED DESCRIPTION

[0016] Application scenarios: In traditional greenhouse cultivation, 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 when the spacing between crops is large or there are no crops in some areas, heat will be wasted in unnecessary places; because the electric heating film covers the entire ground, even if there are no crops or fewer crops in some areas, 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 and cause unnecessary temperature fluctuations. In order to use energy more efficiently, the laying plan 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 open areas or areas with sparse crops, thereby reducing heat waste.

[0017] like Figure 1 As shown: The installation method of assembled solar greenhouse electric heating film heating includes: Obtain the spatial dimension information of the current greenhouse, and determine the planting 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 greenhouse is measured to be 30 meters long, 15 meters wide, and 3 meters high; Furthermore, some factors that cannot be planted inside the greenhouse should be considered, such as the aisle area (usually reserved for the convenience of personnel passage, operation and equipment handling, 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.), etc. After excluding these areas, the remaining space is the planting area. For example, if the total area of ​​the greenhouse is 450 square meters, the aisle and equipment area occupy a total of 50 square meters, then the planting area is 400 square meters.

[0018] Based on the planting plan of crops and combined with the plantable area in the greenhouse, the areas where the electric heating film is laid and the areas where it is not laid are determined; it should be noted that the crops to be planted and the planting scale of each crop are determined according to the planting plan. For example, if it is planned to plant tomatoes, cucumbers, and lettuce, the planting area of ​​tomatoes will account for half, and the planting area of ​​cucumbers and lettuce will account for a quarter each, and the planting plan is set in advance and can be known in advance; Furthermore, in combination with the planting area in the greenhouse, some areas where crops are sensitive to temperature and need to be kept at a certain temperature, or areas where the temperature is relatively low and the heat is lost quickly (such as near the edge and corners of the greenhouse), are considered to be laid with electric heating film, while other areas where the temperature demand is relatively low and the natural temperature conditions are relatively suitable can be listed as non-laying areas. For example, most of the tomato planting area is laid with electric heating film, and the middle part of the lettuce planting area does not need to be laid with electric heating film because the temperature is relatively stable.

[0019] Acquire growth data information of each crop, wherein the crop growth data at least includes crop plant height, leaf area index and canopy coverage; Determine first planting data and second planting data of crops according to the laying area of ​​the electric heating film and the growth data information of the crops, wherein 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, type and temperature sensitivity of crops in different areas; It should be noted that in areas where electric heating films are laid, the planting positions of each row and column of crops should be determined based on factors such as the growth characteristics of crops and the heating range of the electric heating films, so as to avoid planting crops in key locations such as the connection lines of the electric heating films, which would affect their normal use. At the same time, appropriate spacing should be considered based on crop height, canopy coverage, etc., to ensure that crops have sufficient growth space and ventilation and light conditions. For example, for tomatoes with taller plants and wider canopies, the row spacing in the area where the electric heating films are laid can be set to 0.6-0.8 meters, and the column spacing to 0.4-0.5 meters; 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; Furthermore, different regions plan to plant different types of crops, and determine the planting density based on their growth data. For example, when cucumbers are grown on trellises, the planting density can be slightly higher, with 3 to 4 plants planted per square meter, while tomatoes are planted at 2 to 3 plants per square meter. At the same time, the temperature sensitivity of crops in each region is clarified. For example, strawberries are more afraid of low temperatures and are more sensitive to temperature, so they can be planted in areas where electric heating films are laid to ensure temperature. Some cold-resistant leafy vegetables are relatively less sensitive to temperature.

[0020] The crop demand data is generated 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 comprehensive crop demand data including the detailed planting position, spacing, density, temperature sensitivity, etc. of each crop, so as to form a systematic data set that can guide planting operations and subsequent temperature control and other work.

[0021] The layout of the electric heating film is determined based on the current crop demand data. It should be noted that the layout of the electric heating film can be further optimized based on the temperature sensitivity of each crop in the crop demand data, planting density, etc. For example, in areas with high temperature sensitivity and high planting density, the laying density of the electric heating film can be appropriately increased or a higher-power electric heating film can be used to better meet the temperature requirements of crop growth; and for areas with less stringent temperature requirements and low planting density, the amount of electric heating film can be appropriately reduced to achieve energy saving and ensure normal growth of crops; In summary, through the above steps, the laying of electric heating film inside the greenhouse and the planting of crops can be planned scientifically and rationally, thereby improving the efficiency and quality of greenhouse planting.

[0022] As a further embodiment, the method for obtaining the plant height of the crop is: 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.

[0023] 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.

[0024] 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 .

[0025] 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).

[0026] 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.

[0027] 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; 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.

[0028] As a further embodiment, the method for obtaining the crop canopy coverage is: Select appropriate criteria to divide the canopy into h layers according to height; for example, it can be divided at equal height intervals, or stratified according to plant growth characteristics (such as the main canopy distribution areas at different growth stages).

[0029] For each layer, the grid cells are determined based on the size and shape of the canopy and the required accuracy. ; For example, the division of grid units 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 conditions and measurement accuracy requirements.

[0030] Preset a weight coefficient ; It should be understood that the role of different canopies in the heat transfer and exchange process should be 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 of each canopy layer in the heat balance process. For example, by establishing a heat exchange model, the heat transfer of different canopies under different environmental conditions (such as day and night temperature difference, wind speed, etc.) is simulated, and the weight coefficient is determined according to the importance of its impact on plant temperature; For example, design an experiment to plant crops under different canopy coverage conditions, keep other growth conditions (such as soil fertility, irrigation amount, etc.) consistent, observe and record crop growth indicators under each layer of canopy structure, such as plant height, leaf area, yield, etc. By statistically analyzing these data, find the correlation of the impact of each canopy on crop growth indicators, and then determine the weight coefficient. For example, if a certain layer of canopy contributes 30% of the total plant height growth to plant height growth, it can be appropriately considered to give this layer a corresponding proportion of weight when determining the weight.

[0031] Determine the coverage of the grid cells, including the number of grid cells covered And the number of grid cells in this layer It should be understood that in actual operation, a camera can be used to capture canopy images, and image processing software can be used to identify the vegetation coverage in each grid unit, or statistics can be performed through manual field counting.

[0032] According to the formula Determine the canopy coverage; in, is the canopy coverage, a percentage value, j is the index used to represent the number of layers, and i is the index used to represent the unit in each layer.

[0033] It should be understood that first, the double summation parts of the numerator and denominator are calculated separately: for the numerator, the i of each grid cell in each layer j is calculated in turn Values ​​are calculated and these values ​​of all layers are accumulated; for the denominator, the i of each grid cell in each layer j is also calculated. Values, and accumulate them; Then, divide the cumulative result of the numerator by the cumulative result of the denominator and multiply by 100% to get the final canopy coverage. The result is expressed as a percentage, reflecting the coverage of the canopy in the entire study area.

[0034] It should be understood that the canopy coverage reflects the spatial distribution density of the branches and leaves of the plant. If the canopy coverage is high, it means that the branches and leaves are dense, and the heat shielding of the upper and lower leaves is more complicated. Considering the canopy coverage can ensure that the heat generated by the electric heating film can penetrate the canopy, so that the leaves and plant parts at different levels can be evenly heated, promoting the growth of the entire plant; Understanding the canopy coverage allows for precise placement of electric heating films and control of heat output based on actual branch and leaf distribution, avoiding overheating in areas with no plants or sparse branches and leaves, thereby achieving energy conservation and better meeting the plants' demand for heat.

[0035] As a further embodiment, the leaf area index of the crop is obtained in the following manner: A fractal analysis operation is performed on the leaf image; it should be understood that the analysis is performed using a professional image analysis method.

[0036] The blade contour complexity coefficient is calculated based on the above fractal analysis operation And the fractal dimension of the leaf ; Determine area-related parameters; According to the formula , and the leaf area index is obtained; in, is the leaf area index, is the number of pixels of a single leaf area, is the total number of pixels in the planting area, i is a counting variable, n is the number of leaves in the studied range, 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 blade, which can be obtained through corresponding measurement or calculation methods. is the total number of pixels in the planting area, and a is the actual area represented by a single pixel.

[0037] It should be noted that is the number of pixels of a single leaf area, is the total number of pixels in the planting area. The leaves are segmented from the background based on the color, shape, and texture of the leaves through the image recognition algorithm. Then, the number of pixels contained in the leaf image area is calculated to obtain For the total area of ​​the planting area, the number of pixels , can be determined based on the pixel range of the greenhouse planting area boundary in the image; 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, so, Represents the total number of blades (or blade units) (It may be the projected area of ​​a single leaf or the effective photosynthesis area, etc.) to sum. In other words, i helps us traverse the areas related to all individual leaves that need to be calculated to obtain the values ​​related to the total area; For example, when studying the leaf area index of a forest, n may be the number of all leaves on the sample trees in the forest; if a leaf is divided into multiple small units for study, n is the number of these small units. It is the area-related quantity of these n leaves (or leaf units) Perform the summation.

[0038] The actual area a represented by a single pixel needs to be obtained through calibration. A standard object of known area can be placed in the planting area, such as a square card with known side length. The pixel area of ​​the card in the image is determined through image recognition, and the actual area represented by a single pixel is calculated. Blade profile complexity coefficient And the fractal dimension of the leaf , it is necessary to perform fractal analysis on the leaf image. The fractal analysis algorithm can calculate the fractal dimension by continuously subdividing and measuring the leaf contour. , It is a coefficient obtained based on experience or by fitting experimental data of leaves of different complexity. It is related to factors such as the shape of the leaf and the serrations on the edge.

[0039] It should be understood that the size of the leaf area directly affects the plant's absorption of heat; a larger leaf area can absorb more heat, so the heat output of the electric heating film needs to be adjusted according to the leaf area, so that the plant can make full use of the heat for photosynthesis and other physiological activities, while avoiding insufficient or wasted heat supply; A large leaf area means that the air circulation around the plant may be hindered to a certain extent; reasonable consideration of the leaf area can help avoid the accumulation of heat around the leaves due to poor air circulation, affecting the normal respiration and other physiological processes of the plant.

[0040] As a further embodiment, the acquisition of growth data information of each crop, wherein the crop growth data at least includes crop plant height, leaf area index and canopy coverage, further includes: Obtain crop image data for training models; A multidimensional feature vector is extracted, wherein the multidimensional feature vector includes at least the characteristics of leaf color, leaf shape, and stem. It should be noted that the leaf color is analyzed and its RGB value distribution characteristics are extracted, such as the proportion of different color components on the leaf. The corresponding fitting parameters are obtained by ellipse fitting to characterize the leaf shape characteristics. The thickness of the stem is measured, and the texture characteristics of the stem are analyzed, such as the direction and density of the texture.

[0041] Integrate the multi-dimensional feature vectors and obtain the feature vector ; It should be understood that the above-mentioned features include multiple dimensions; For the RGB value distribution characteristics of the leaf color, it can be obtained by statistically analyzing the pixel color values ​​of the leaf area in the image. The ellipse fitting parameters of the leaf shape can be obtained by fitting the leaf contour to an ellipse, and obtaining the major axis, minor axis, eccentricity and other parameters of the ellipse. The thickness and texture characteristics of the stem can be analyzed by analyzing the stem image, such as calculating the number of pixels of the stem diameter, the grayscale change frequency of the texture, etc. These features constitute a feature vector for determining the growth stage.

[0042] Establish a training model and determine the corresponding parameters; it should be understood that the support vector machine (SVM) algorithm is used to build a multi-classification model and the number of support vectors is determined. , find the corresponding Lagrange multiplier , determine the category labels of the training samples , choose from a suitable kernel function type, such as radial basis function , determine the bias term , through the above determined parameters, find the optimal hyperplane decision function ; It should be further explained that the number of explicit support vectors , find the corresponding Lagrange multiplier , determine the category labels of the training samples Parameters such as are automatically determined by the optimization algorithm based on the training data set during the support vector machine training process.

[0043] For a new crop image, extract its corresponding feature vector ,calculate The value of is used to determine the growth stage category to which the new crop image belongs based on the distance between the calculated value and the decision boundary of each category. f is a function. is the new crop image feature vector, It means that the function f has The function value when ; A multi-layer feed-forward neural network is constructed to determine the heat demand distribution.

[0044] As a further embodiment, the method of 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 add the ambient temperature , light intensity , soil moisture Environmental factors as input; After one or more hidden layers, the activation function is used for nonlinear transformation, and finally the heat demand distribution value is obtained 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 ReLU function, Represents the heat demand at the i-th row and j-th column position in the planting area.

[0045] According to the formula It is concluded that, is the activation function, is the weight coefficient 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 mth neuron in the input layer, represents the number of neurons in the h-1th hidden layer, represents the weight of the connection between the kth neuron in the hth hidden layer and the lth neuron in the h-1th hidden layer, is the jth neuron in the output layer and the last hidden layer ( The weights of the connections between the k-th neurons in the layer, The bias value of the first hidden layer, is the bias value of the h-1th hidden layer, The bias value of the output layer, k is an index variable used to traverse the last hidden layer ( layer), l is also an index variable used to traverse the neurons in the h-1th hidden layer, i and j are used to indicate the position in the planting area, and h represents the layer number of the hidden layer.

[0046] It should be noted that the number of input layer nodes The neural network is trained by using 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, which can more comprehensively and dynamically consider the complex impact of various factors on crop heat demand.

[0047] As a further embodiment, the method of determining the laying layout of the electric heating film based on the currently obtained crop demand data includes: The individual electric heating film components are spliced ​​and installed in the predetermined positions in turn; it should be understood that according to the actual layout of the greenhouse and the planting needs, the preliminary laying plan of the electric heating film components is planned to ensure that the coverage is reasonable and there are no missed areas. Subsequently, the connection parts are ensured to be tightly fitted to prevent leakage and heat loss. At the same time, check whether the temperature sensors and power regulation modules of each component are installed correctly and without damage. After the installation of all components is completed, a wireless communication network is established between the central control unit and each electric heating film component, and the network is configured and debugged to ensure stable and reliable communication. Each component is numbered and the initial parameters are set so that it is in standby mode, completing the construction and initialization of the entire system.

[0048] After installation, start the temperature sensor and set a suitable sampling frequency (e.g., once every 10 minutes) so that it continuously collects temperature data from various areas in the greenhouse and transmits the data in real time; The comprehensive growth information of crops is obtained, including but not limited to the growth stage of crops, the color and morphological changes of leaves, and soil moisture. Specifically, at the same time, through linkage with other agricultural monitoring equipment (such as light sensors, humidity sensors, cameras, etc.), the comprehensive growth information of crops is obtained, including but not limited to the growth stage of crops, the color and morphological changes of leaves, and soil moisture. This information is also transmitted to the central control unit for integrated analysis.

[0049] After receiving the comprehensive growth data of crops, it determines whether the current temperature environment of the greenhouse meets the growth needs of crops. Specifically, the central control unit has built-in advanced intelligent control system software, which presets the suitable temperature range of different crops at each growth stage, temperature uniformity requirements and strategy models for dealing with various emergencies, and then determines whether there are abnormal situations such as excessive local temperature differences, overall temperature deviation from the suitable range or changes in the crop planting area.

[0050] If there is an abnormality, according to the existing temperature regulation model, combined with the current working status and power consumption of each component, calculate the combination of electric heating 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 accurate temperature compensation and uniformity adjustment; It should be noted that the temperature regulation model at least includes: 1. Mechanism model based on energy balance: Principle: Establish a balance equation based on the heat income and expenditure of the greenhouse, consider the influence of solar radiation, heating equipment heat supply, ventilation and heat dissipation, heat transfer of the enclosure structure and other factors on the greenhouse temperature, and determine the heating amount that needs to be adjusted to maintain the appropriate temperature through calculation and analysis; 2. Model based on crop growth stage: Principle: Different crops have different suitable temperature ranges and requirements at different growth stages. The corresponding target temperature is set according to the growth stage of the crop, and adjustments are made when the actual temperature deviates from the target temperature. 3. Model based on local temperature differences in the greenhouse: Principle: In response to the situation where the local temperature inside the greenhouse is too high or too low, the temperature data of different areas collected by the temperature sensor is analyzed to determine the temperature uneven area, and the electric heating film components in the corresponding area are independently adjusted to achieve uniform temperature distribution, etc.

[0051] If the crop planting area is adjusted, the working area and layout of the electric heating film components will be replanned, and the list of components that need to be turned on, off or transferred and their corresponding working parameters will be determined; According to the formulated adjustment plan, precise control instructions are sent to the target electric heating film component through the wireless communication module. The instructions contain detailed information such as component number, power adjustment value, working state switching instruction (such as switching from standby to working, increasing power, reducing power, shutting down, etc.) and execution time requirements; After receiving the control command, the electric heating film component (its built-in power regulation module responds quickly) accurately adjusts the heating power according to the command requirements.

[0052] Furthermore, the temperature sensor continuously monitors the temperature changes in the area and feeds back the real-time temperature data to the central control unit so that the central control unit can evaluate and further optimize the adjustment effect in real time, ensuring that the temperature environment of the entire greenhouse can quickly and stably reach a state suitable for crop growth, and continue to remain stable and uniform during subsequent operation, effectively responding to various possible emergencies and providing reliable temperature protection for the healthy growth of crops.

[0053] In a second aspect, the present invention provides an assembled solar greenhouse electric heating 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, wherein the above modules are connected by wired and / or wireless connection to achieve data transmission between the modules; The data measurement module is used to obtain the spatial dimension information of the current greenhouse and determine the planting area in the greenhouse based on the spatial dimension information; The area division module determines the areas where the electric heating film is laid and the areas where it is not laid based on the crop planting plan and the planting area in the greenhouse; A data analysis module is used to obtain growth data information of each crop, wherein the crop growth data at least includes crop plant height, leaf area index and canopy coverage; A data fusion module, used to determine first planting data and second planting data of crops according to the laying area of ​​the electric heating film combined with the growth data information of the crops, wherein 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, type and temperature sensitivity of crops in different areas; A data generation module, generating crop demand data based on the first planting data and the second planting data; The laying planning module determines the laying layout of the electric heating film based on the current crop demand data.

[0054] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes the installation method of assembled solar greenhouse electric heating film heating by calling the computer program stored in the memory.

[0055] This embodiment also provides a computer program product stored on a computer-readable medium, including a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement an assembled solar greenhouse electric heating film heating installation method.

[0056] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0057] The above are only preferred implementations of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technical staff in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of this template.

Claims

1. The installation method of assembled solar greenhouse electric heating film is characterized by: include: Obtain the space size information of the current greenhouse, and determine the planting area in the greenhouse based on the space size information; Based on the crop planting plan and combined with the planting area in the greenhouse, determine the areas where the electric heating film is laid and the areas where it is not laid; Acquire growth data information of each crop, wherein the crop growth data at least includes crop plant height, leaf area index and canopy coverage; Determine first planting data and second planting data of crops according to the laying area of ​​the electric heating film and the growth data information of the crops, wherein 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, type and temperature sensitivity of crops in different areas; generating crop demand data based on the first planting data and the second planting data; The laying layout of the electric heating film is determined based on the current crop demand data.

2. The method for installing electric heating film in an assembled solar greenhouse according to claim 1, characterized in that: The method for obtaining the plant height of the crop is: Arrange reference objects and acquire images; Use image recognition technology to determine the reference angle and calculate value; Determine the number of crop plant height pixels in the current image ; Preset reference actual length and the number of pixels of known reference objects in the image ; According to the formula , and the plant height is obtained.

3. The method for installing electric heating film in an assembled solar greenhouse according to claim 2, characterized in that: The method for obtaining the crop canopy coverage is as follows: Select appropriate criteria to divide the canopy into h layers according to height; For each layer, the grid cells are determined based on the size and shape of the canopy and the required accuracy. ; Preset a weight coefficient ; Determine the coverage of the grid cells, including the number of grid cells covered And the number of grid cells in this layer ; According to the formula Determine the canopy coverage; in, is the canopy coverage, a percentage value, j is the index used to represent the number of layers, and i is the index used to represent the unit in each layer.

4. The method for installing electric heating film in an assembled solar greenhouse according to claim 3 is characterized in that: The leaf area index of the crop is obtained as follows: Carry out fractal analysis operations on leaf images; The blade contour complexity coefficient is calculated based on the above fractal analysis operation And the fractal dimension of the leaf ; Determine area-related parameters; According to the formula , the leaf area index is obtained; in, is the leaf area index, is the number of pixels of a single leaf area, is the total number of pixels in the planting area, i is a counting variable, n is the number of leaves in the studied area, and a is the actual area represented by a single pixel.

5. The method for installing electric heating film in an assembled solar greenhouse according to claim 4, characterized in that: The step of acquiring the growth data information of each crop, wherein the crop growth data at least includes the plant height, leaf area index and canopy coverage of the crop, further includes: Obtain crop image data for training models; Extracting a multi-dimensional feature vector, wherein the multi-dimensional feature vector includes at least features of leaf color, leaf shape, and stem; Integrate the multi-dimensional feature vectors and obtain the feature vector ; Establish a training model and determine the corresponding parameters; For a new crop image, extract its corresponding feature vector ,calculate The value of is used to determine the growth stage category to which the new crop image belongs based on the distance between the calculated value and the decision boundary of each category; where f is a function, is the new crop image feature vector, It means that the function f has The function value when ; A multi-layer feed-forward neural network is constructed to determine the heat demand distribution.

6. The method for installing electric heating film in an assembled solar greenhouse according to claim 5, characterized in that: The method of constructing a multi-layer feedforward neural network to determine the heat demand distribution is specifically as follows: The input layer nodes include plant height , Leaf Area Index , canopy coverage and multiple growth stage dummy variables , and add the ambient temperature , light intensity , soil moisture Environmental factors as input; After one or more hidden layers, the activation function is used for nonlinear transformation, and finally the heat demand distribution value is obtained at the output layer. ; According to the formula It is concluded that, is the activation function, is the weight coefficient 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 mth neuron in the input layer, represents the number of neurons in the h-1th hidden layer, represents the weight of the connection between the kth neuron in the hth hidden layer and the lth neuron in the h-1th hidden layer, is the jth neuron in the output layer and the last hidden layer ( The weights of the connections between the k-th neurons in the layer, The bias value of the first hidden layer, is the bias value of the h-1th hidden layer, The bias value of the output layer, k is an index variable used to traverse the last hidden layer ( layer), l is also an index variable used to traverse the neurons in the h-1th hidden layer, i and j are used to indicate the position in the planting area, and h represents the layer number of the hidden layer.

7. The method for installing electric heating film in an assembled solar greenhouse according to claim 6, characterized in that: The method of determining the laying layout of the electric heating film based on the currently obtained crop demand data includes: Splice and install the individual electric heating film components in the predetermined positions one by one; After installation, start the temperature sensor and set a suitable sampling frequency so that it can continuously collect temperature data from various areas in the greenhouse and transmit the data in real time; Obtain comprehensive information on crop growth, including but not limited to crop growth stages, leaf color and morphological changes, and soil moisture; After receiving the comprehensive growth data of crops, determine whether the current temperature environment of the greenhouse meets the growth requirements of crops; If there is an abnormality, according to the existing temperature regulation model, combined with the current working status and power consumption of each component, calculate the combination of electric heating 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 accurate temperature compensation and uniformity adjustment; If the crop planting area is adjusted, the working area and layout of the electric heating film components will be replanned, and the list of components that need to be turned on, off or transferred and their corresponding working parameters will be determined; According to the formulated adjustment plan, precise control instructions are sent to the target electric heating film component through the wireless communication module. The instructions contain detailed information such as component number, power adjustment value, working state switching instruction and execution time requirement; After receiving the control instruction, the electric heating film component accurately adjusts the heating power according to the instruction requirements.

8. Assembled solar greenhouse electric heating film heating installation system, characterized in that: The method for installing electric heating film in an assembled solar greenhouse is implemented based on any one of claims 1 to 7, 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 modules are connected by wired and / or wireless connection to realize data transmission between the modules. The data measurement module is used to obtain the spatial dimension information of the current greenhouse and determine the planting area in the greenhouse based on the spatial dimension information; The area division module determines the areas where the electric heating film is laid and the areas where it is not laid based on the crop planting plan and the planting area in the greenhouse; A data analysis module is used to obtain growth data information of each crop, wherein the crop growth data at least includes crop plant height, leaf area index and canopy coverage; A data fusion module, used to determine first planting data and second planting data of crops according to the laying area of ​​the electric heating film combined with the growth data information of the crops, wherein 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, type and temperature sensitivity of crops in different areas; A data generation module, generating crop demand data based on the first planting data and the second planting data; The laying planning module determines the laying layout of the electric heating film based on the current crop demand data.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor calls the computer program stored in the memory to execute the assembled solar greenhouse electric heating film heating installation method as described in any one of claims 1 to 7.

10. A computer program product stored on a computer readable medium, characterized in that: It includes a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement the assembled solar greenhouse electric heating film heating installation method as described in any one of claims 1-7.

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