A garden landscape energy-saving irrigation system
By processing the garden image, calculating the water demand and actual water supply of each pixel point, determining the optimal spraying solution, solving the problem of over-irrigation and irrigation imbalance in the prior art, and achieving efficient and energy-saving irrigation effect.
Patent Information
- Application Number
- CN202311441051.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-01
- Publication Date
- 2025-02-18
- Estimated Expiration
- 2043-11-01
AI Technical Summary
The irrigation system in existing garden landscapes is over-irrigated due to uniform distribution of sprinklers, resulting in waste of water resources, and the coverage of a single sprinkler is too large or too small, resulting in uneven irrigation.
The garden image is obtained through the data acquisition module, the road and vegetation areas are divided using semantic segmentation and convolutional neural networks, the water demand for each pixel is calculated, and the water supply is calculated based on the water outlet of the nozzle, the rotation period and the number of pixel points within the spray range are calculated. , correct the actual water supply amount of each pixel point, and finally determine the optimal spraying plan through the scheme evaluation module.
The accuracy of the detection of water supply for each pixel point is improved, the irrigation plan is optimized, the waste of water resources is reduced, and the energy-saving irrigation efficiency of garden landscapes is improved.
Smart Images

Figure CN117291906B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of garden watering and irrigation, and in particular to a garden landscape energy-saving irrigation system. Background Art
[0002] Garden landscape plays an important role in beautification and ecological balance maintenance in urban and rural environments. In order to maintain the health and beauty of garden landscape, irrigation systems are widely used to supply water for plants and lawns; at the same time, with the rise of the Internet industry, smart irrigation systems based on the Internet of Things are becoming increasingly common.
[0003] At present, the nozzles in the garden landscape are generally evenly distributed among the vegetation in the garden. However, due to the different water requirements of different vegetation, if evenly distributed nozzles are used in the garden landscape to spray the vegetation in the garden, over-irrigation will occur, which will lead to waste of water resources and even damage to the garden vegetation. At the same time, due to the laying of different types of vegetation and the embedding of roads during the design of the garden landscape, the coverage of a single nozzle is too large or too small, resulting in excessive water output from a single irrigation of all nozzles in the entire garden, or spraying on the road to cause waste, etc. Therefore, an optimal spraying plan for the distribution position and number of all nozzles in the garden is needed. Summary of the invention
[0004] The invention provides a garden landscape energy-saving irrigation system to solve the existing problems.
[0005] A garden landscape energy-saving irrigation system of the present invention adopts the following technical solutions:
[0006] An embodiment of the present invention provides a garden landscape energy-saving irrigation system, which includes the following modules:
[0007] A data acquisition module for acquiring garden images of garden landscapes;
[0008] The data analysis module is used to obtain the water demand of each pixel in the garden image, and obtain the water supply of each pixel in each cycle of the spraying range of each nozzle according to the water output of each nozzle per second, the rotation cycle of the nozzle and the total number of pixels contained in the spraying range of each nozzle;
[0009] A scheme evaluation module is used to correct the water supply amount of each pixel point in each cycle of the spraying range of each nozzle according to the distance between each nozzle and each pixel point in the spraying range of the nozzle, obtain the actual water supply amount of each pixel point in each cycle of the spraying range of each nozzle, and sum the actual water supply amount of each pixel point in each cycle of the spraying range of all nozzles to obtain the total actual water supply amount of each pixel point in each cycle;
[0010] The number of rotation cycles is obtained according to the average of the total actual water supply of all pixels in each cycle and the average of the water demand of all pixels. The total actual water supply of each pixel in each cycle is corrected according to the number of rotation cycles to obtain the final water supply of each pixel in the total time. The difference between the final water supply and the water demand of each pixel in the total time is used to obtain the degree of difference of all pixels in the total time.
[0011] The water supply impact of all pixels in the total time under different schemes is obtained according to the final water supply and water demand of each pixel in the total time; the evaluation value of the scheme is obtained according to the distance between every two nozzles, the number of nozzles, the water supply impact of all pixels in the garden image under different schemes and the difference degree of all pixels;
[0012] The scheme determination module is used to obtain the optimal scheme for energy-saving irrigation of landscape gardens based on the evaluation value of the scheme.
[0013] Furthermore, obtaining the water requirement of each pixel in the garden image includes:
[0014] The garden image is segmented according to semantic segmentation to obtain several segmented areas. Then a convolutional neural network is used to classify the segmented areas in the garden image, and the garden image is divided into segmented areas corresponding to roads and segmented areas corresponding to various vegetation. The water demand of each segmented area is obtained according to the water demand of various vegetation in the segmented area, and the water demand of each segmented area is used as the water demand of each pixel point in each segmented area.
[0015] Furthermore, the calculation formula for the water delivery amount of each pixel point in each cycle of the spraying range of each nozzle is:
[0016]
[0017] Where, ΔV i represents the water output of the i-th nozzle per second, T represents the rotation period of the nozzle, G represents the total number of pixels contained in the spraying range of the nozzle, and p i It represents the amount of water delivered to each pixel in each cycle of the spraying range of the i-th nozzle.
[0018] Furthermore, the calculation formula for the actual water delivery amount of each pixel point in each cycle of the spraying range of each nozzle is:
[0019]
[0020] Where P i,j represents the amount of water delivered to the jth pixel in each cycle of the spraying range of the i-th nozzle, d i,jrepresents the Euclidean distance between the i-th nozzle and the j-th pixel point in the spraying range of the nozzle, p i,j It represents the actual water supply of the jth pixel in each cycle of the spraying range of the i-th nozzle after correction, and exp() represents an exponential function with a natural constant as the base.
[0021] Furthermore, the number of rotation cycles is obtained according to the average of the total actual water supply of all pixels and the average of the water demand of all pixels in each cycle, including:
[0022] The ratio of the mean water demand of all pixels to the mean total actual water supply of all pixels in each cycle is obtained, and then the ratio is rounded up to get the number of rotation cycles.
[0023] Furthermore, the total actual water delivery amount of each pixel point in each cycle is corrected according to the number of rotation cycles to obtain the final water delivery amount of each pixel point in the total time, including:
[0024] The final water delivery amount of each pixel point in the total time is obtained by multiplying the number of rotation cycles by the total actual water delivery amount of each pixel point in each cycle.
[0025] Furthermore, the calculation formula for the difference degree of all pixels in the total time is:
[0026]
[0027] In the formula, H j represents the final water supply of the jth pixel in the total time, Q j represents the water demand of the jth pixel, k represents the number of all pixels in the garden image, ΔQ represents the difference degree of all pixels in the total time, and || represents the absolute value sign.
[0028] Furthermore, the calculation formula for the water supply impact degree of all pixel points under different schemes in the total time is:
[0029]
[0030] In the formula, H j represents the final water supply of the jth pixel in the total time, Q j represents the water demand of the jth pixel, k represents the number of all pixels in the garden image, σ represents the influence of water supply for all pixels under different schemes in the total time, and || represents the absolute value symbol.
[0031] Furthermore, the calculation formula of the evaluation value of the scheme is:
[0032]
[0033] In the formula, ΔQ represents the difference degree of all pixels in the total time, σ represents the influence degree of water supply of all pixels under different schemes in the total time, m represents the number of nozzles, and D s represents the Euclidean distance between every two nozzles in the sth combination, S represents the total number of combinations between every two nozzles, and f represents the evaluation value of the solution.
[0034] Furthermore, the optimal solution for energy-saving irrigation of landscape gardens is obtained according to the evaluation value of the solution, and the specific steps include the following:
[0035] The scheme with the largest evaluation value is the optimal scheme for energy-saving irrigation of garden landscape.
[0036] The beneficial effects of the technical solution of the present invention are as follows: the present invention processes the garden image to obtain the water supply amount of each pixel point in each cycle of the spraying range of each nozzle, and corrects the water supply amount of each pixel point in each cycle of the spraying range of each nozzle according to the distance between each pixel point and the nozzle and the total time of each watering irrigation to obtain the final water supply amount of each pixel point in the total time, thereby improving the accuracy of detecting the water supply amount of each pixel point; then, according to the final water supply amount of each pixel point in the total time and the water demand of each pixel point, the difference degree of all pixels in the total time and the water supply influence degree of all pixels in the total time under different schemes are obtained, and the evaluation value of the scheme is obtained according to the difference degree and the water supply influence degree, thereby improving the efficiency of energy-saving irrigation of garden landscape. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0038] Figure 1 The present invention is a module flow chart of a garden landscape energy-saving irrigation system. DETAILED DESCRIPTION
[0039] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation, structure, features and effects of a garden landscape energy-saving irrigation system proposed by the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.
[0040] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
[0041] The specific scheme of the garden landscape energy-saving irrigation system provided by the present invention is described in detail below with reference to the accompanying drawings.
[0042] See also Figure 1 , which shows a module flow chart of a garden landscape energy-saving irrigation system provided by an embodiment of the present invention, the system includes the following modules:
[0043] Module 101: Data acquisition module.
[0044] It should be noted that, since the present embodiment is aimed at analyzing the irrigation system of the garden landscape, and in order to ensure that there is not too much waste of water resources, a front view of the garden landscape will be obtained, the distribution of roads and different vegetation in the garden landscape will be obtained, and the position and number of the nozzles will be determined according to the distribution of the principles and vegetation in the garden landscape to determine the best spraying plan.
[0045] Specifically, a drone is used to collect garden landscape images directly above the garden landscape, and the processed garden images are obtained through grayscale conversion and mean filtering.
[0046] At this point, we get the garden image.
[0047] Module 102: Data analysis module.
[0048] It should be noted that in the irrigation of garden landscapes, it is necessary to avoid spraying in the road area as much as possible to prevent excessive waste of water. In addition, the water requirements of different vegetation in the garden are different, and the position and number of nozzles are determined according to the water requirements of the vegetation. Therefore, this step needs to first obtain the road area and the distribution area of different vegetation in the garden landscape, and analyze it according to the water requirements of vegetation in different areas.
[0049] Specifically, the garden image is segmented according to semantic segmentation to obtain several segmented areas. Then a convolutional neural network is used to classify the segmented areas in the garden image, and the garden image is divided into segmented areas corresponding to roads and segmented areas corresponding to various vegetation. The water demand of each segmented area is obtained according to the water demand of various vegetation in the segmented area, and the water demand of each segmented area is used as the water demand of each pixel point in each segmented area. The water demand ranges from 0 to 1, including 0 and 1, the water demand of the road area is 0, and the water demand of different pixels in the same area is the same.
[0050] Among them, semantic segmentation and convolutional neural network are well-known technologies and will not be described in detail here.
[0051] At this point, the water demand of each pixel is obtained.
[0052] In this embodiment, the water spraying range of each nozzle is 120 degrees, and the rotation period and radius of each nozzle are the same. The water delivery amount at each pixel point position within the spraying range of the nozzle is the same. The water delivery amount at each pixel point position within the spraying range of each nozzle in each cycle of the nozzle is obtained, which is expressed by the formula:
[0053]
[0054] Where, ΔV i represents the water output of the i-th nozzle per second, T represents the rotation period of the nozzle, that is, how many seconds a rotation period is, G represents the total number of pixels contained in the spraying range of the nozzle, p i It represents the amount of water delivered to each pixel in each cycle of the spraying range of the i-th nozzle.
[0055] The total water supply of each pixel in the garden image is equal to the sum of the water supply of all nozzles within the spraying range of the pixel, denoted as p.
[0056] At this point, the total water transfer amount of each pixel in each cycle is obtained.
[0057] Module 103: Program evaluation module.
[0058] (1) According to the distance between each nozzle and each pixel point in the spraying range of the nozzle, the water delivery amount of each pixel point in each cycle of the spraying range of each nozzle is corrected to obtain the actual water delivery amount of each pixel point in each cycle of the spraying range of each nozzle, and the actual water delivery amount of each pixel point in each cycle of the spraying range of all nozzles is summed to obtain the total actual water delivery amount of each pixel point in each cycle.
[0059] It should be noted that in the garden irrigation system, within the spraying range of each nozzle, the area closer to the nozzle sprays more water, and the area farther from the nozzle sprays less water. That is, the water supply of each nozzle to the pixel within the spraying range in each cycle is corrected by the position of each pixel point from the nozzle.
[0060] Specifically, the distance between each pixel and the nozzle is obtained, and the water supply amount of each pixel is corrected according to the distance between the pixel and the nozzle, which is expressed as follows:
[0061]
[0062] In the formula, p i,j represents the amount of water delivered to the jth pixel in each cycle of the spraying range of the i-th nozzle, di,j represents the Euclidean distance between the i-th nozzle and the j-th pixel point in the spraying range of the nozzle, p i,j It represents the actual water supply of the jth pixel in each cycle of the spraying range of the i-th nozzle after correction, and exp() represents an exponential function with a natural constant as the base. The purpose of adding 0.5 in the formula is to keep the water supply of the pixel in the middle unchanged, increase the water supply of the pixel close to the nozzle, and reduce the water supply of the pixel far from the nozzle, so as to ensure that the total water output of the nozzle in each cycle remains unchanged.
[0063] Among them, the closer the distance between each pixel and the nozzle is, that is, d i,j The smaller the value, the greater the actual water supply of each pixel point in the nozzle range. When the distance between each pixel point and the nozzle is farther, that is, d i,j The larger it is, the smaller the actual water delivery amount of each pixel in the nozzle range.
[0064] At this point, the actual water delivery amount of each pixel point in each cycle within each nozzle range is obtained.
[0065] The total actual water delivery of each pixel in the garden image is equal to the sum of the actual water delivery of all nozzles within the spraying range of the pixel, denoted as P. The total actual water delivery of the jth pixel in each cycle is Where m represents the number of nozzles, P i,j It represents the actual amount of water delivered to the jth pixel in each cycle of the spraying range of the i-th nozzle after correction.
[0066] (2) The number of rotation cycles is obtained according to the average of the total actual water supply of all pixels in each cycle and the average of the water demand of all pixels. The total actual water supply of each pixel in each cycle is corrected according to the number of rotation cycles to obtain the final water supply of each pixel in the total time. The difference between the final water supply and the water demand of each pixel in the total time is used to obtain the degree of difference of all pixels in the total time.
[0067] It should be noted that in order to determine whether water resources are wasted in a certain period of time for vegetation at each pixel location, the difference between the total actual water supply and the water demand will be analyzed. In order to determine whether each vegetation meets the water demand requirements, the total time of each irrigation will be determined based on the average water demand of all pixels, and the final water supply of each pixel will be determined based on the time, so as to analyze the waste of water resources.
[0068] Specifically, the mean water demand of all pixels is obtained, recorded as X, and the total time of each irrigation is determined according to the mean water demand of all pixels, that is, the number of rotation cycles, which is expressed by the formula:
[0069]
[0070] In the formula, X represents the mean water demand of all pixels, P represents the mean total actual water supply of all pixels in each cycle, Express is rounded up, and n represents the number of rotation cycles in the rotation cycle.
[0071] The final water supply of each vegetation is obtained according to the number of rotation cycles of the rotation cycle and the total actual water supply of each pixel in each cycle. The final water supply of the jth pixel in the total time is H j =n×P j , where P j It represents the total actual water supply of the jth pixel in each cycle. Among them, the total time is the product of the number of rotation cycles and the time of the rotation cycle, that is, the time of each watering irrigation.
[0072] According to the difference between the final water supply and water demand of each pixel point in the total time, the difference degree of all pixel points in the total time is obtained, which is expressed by the formula:
[0073]
[0074] In the formula, H j represents the final water supply of the jth pixel in the total time, Q j represents the water demand of the jth pixel, k represents the number of all pixels in the garden image, ΔQ represents the difference degree of all pixels in the total time, and || represents the absolute value sign.
[0075] At this point, the difference degrees of all pixels in the garden image are obtained.
[0076] (3) Based on the final water supply and water demand of each pixel point in the total time, the water supply impact degree of all pixel points under different schemes in the total time is obtained.
[0077] It should be noted that, since it is still unknown whether the vegetation at each pixel location has reached water saturation due to the different positions and numbers of nozzles within a certain period of time, the degree of water supply impact under different schemes is obtained according to the final water supply and water demand of the pixel point, and the analysis is carried out according to the degree of water supply impact under different schemes.
[0078] Specifically, the water supply impact of all pixels under different schemes in the total time is obtained according to the final water supply and water demand of the pixel, which is expressed as follows:
[0079]
[0080] In the formula, H jrepresents the final water supply of the jth pixel in the total time, Q j represents the water demand of the jth pixel, k represents the number of all pixels in the garden image, σ represents the influence of water supply of all pixels under different schemes in the total time, and || represents the absolute value symbol; the purpose of adding 0.1 to both the numerator and the denominator is to prevent the denominator from being zero.
[0081] Among them, when the final water supply of each pixel point in the total time of each irrigation is greater than the water demand, the water supply impact degree of the pixel point is 1; when the final water supply of each pixel point in the total time of each irrigation is greater than the water demand, the water supply impact degree of the pixel point is -1.
[0082] So far, the water supply influence degree of all pixels in the garden image under different schemes is obtained.
[0083] (4) The evaluation value of the scheme is obtained based on the distance between every two nozzles, the number of nozzles, the degree of water supply influence of all pixels in the garden image under different schemes, and the degree of difference of all pixels.
[0084] It should be noted that in garden irrigation, the position of the nozzle directly affects the water supply of vegetation at different pixel positions. In order to make the water supply uniform, the water supply and water demand are analyzed; and in order to save water resources, the fewer the number of nozzles used in different schemes, the better. Therefore, different schemes are obtained according to the position of the nozzle and the number of nozzles.
[0085] The scheme evaluation value is obtained according to the distance between every two nozzles, the number of nozzles, the water supply influence degree of all pixels in the garden image under different schemes and the difference degree of all pixels, which is expressed as follows:
[0086]
[0087] In the formula, ΔQ represents the difference degree of all pixels in the total time, σ represents the influence degree of water supply of all pixels under different schemes in the total time, m represents the number of nozzles, and D s represents the Euclidean distance between every two nozzles in the sth combination, S represents the total number of combinations between every two nozzles, and f represents the evaluation value of the solution.
[0088] Among them, the greater the distance between the nozzles, the greater the influence of water supply of all pixels under different schemes, the fewer the number of nozzles used in the garden, the smaller the difference of all pixels in the garden image, that is, the better the corresponding scheme, and the greater the evaluation value of the scheme, the better the corresponding scheme; conversely, the worse the scheme.
[0089] At this point, the evaluation value of each solution is obtained.
[0090] Module 104: Solution determination module.
[0091] A threshold value M is preset, wherein this embodiment is described by taking M=100 as an example, and this embodiment is not specifically limited, wherein M can be determined according to the specific implementation situation. M also represents the maximum number of nozzles. Different solutions are iterated in the process of the number of nozzles from 1 to the preset threshold value M, and the process of iteratively obtaining different solutions is as follows:
[0092] (1) Selecting a number of nozzles, and then placing this nozzle at the position of each pixel in the garden image, and obtaining all solutions for different nozzle placement positions when the number of nozzles is 1;
[0093] (2) Selecting two numbers of nozzles, and then arranging and combining the positions of the two nozzles in the garden image, to obtain all solutions for different placement positions of the nozzles in all combinations when the number of nozzles is 2;
[0094] (3) Selecting 3 nozzles, and then arranging and combining the positions of the 3 nozzles in the garden image, to obtain all solutions for different nozzle placement positions in all combinations when the number of nozzles is 3;
[0095] By analogy, M nozzles are selected, and then the positions of the M nozzles in the garden image are arranged and combined to obtain all solutions for different placement positions of the nozzles in all combinations when the number of nozzles is M.
[0096] So far, all the solutions have been obtained.
[0097] Each plan is evaluated according to its evaluation value, and the plan corresponding to the maximum evaluation value is selected as the optimal plan.
[0098] At this point, the optimal solution for energy-saving irrigation of garden landscapes is obtained.
[0099] At this point, this embodiment is completed.
[0100] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A landscape energy-saving irrigation system, characterized in that: The system includes the following modules: A data acquisition module for acquiring garden images of garden landscapes; The data analysis module is used to obtain the water demand of each pixel in the garden image, and obtain the water supply of each pixel in each cycle of the spraying range of each nozzle according to the water output of each nozzle per second, the rotation cycle of the nozzle and the total number of pixels contained in the spraying range of each nozzle; A scheme evaluation module is used to correct the water supply amount of each pixel point in each cycle of the spraying range of each nozzle according to the distance between each nozzle and each pixel point in the spraying range of the nozzle, obtain the actual water supply amount of each pixel point in each cycle of the spraying range of each nozzle, and sum the actual water supply amount of each pixel point in each cycle of the spraying range of all nozzles to obtain the total actual water supply amount of each pixel point in each cycle; The number of rotation cycles is obtained according to the average of the total actual water supply of all pixels in each cycle and the average of the water demand of all pixels. The total actual water supply of each pixel in each cycle is corrected according to the number of rotation cycles to obtain the final water supply of each pixel in the total time. The difference between the final water supply and the water demand of each pixel in the total time is used to obtain the degree of difference of all pixels in the total time. The water supply impact of all pixels in the total time under different schemes is obtained according to the final water supply and water demand of each pixel in the total time; the evaluation value of the scheme is obtained according to the distance between every two nozzles, the number of nozzles, the water supply impact of all pixels in the garden image under different schemes and the difference degree of all pixels; A scheme determination module is used to obtain the optimal scheme for energy-saving irrigation of landscape gardens based on the evaluation value of the scheme; The calculation formula of the evaluation value of the scheme is: In the formula, Indicates the degree of difference of all pixels in the total time. It indicates the influence degree of water supply of all pixels under different schemes in the total time, m indicates the number of nozzles, represents the Euclidean distance between every two nozzles in the sth combination, S represents the total number of combinations between every two nozzles, Indicates the evaluation value of the scheme; The calculation formula for the difference degree of all pixels in the total time is: In the formula, represents the final water supply of the jth pixel in the total time, represents the water demand of the jth pixel, k represents the number of all pixels in the garden image, Indicates the degree of difference of all pixels in the total time. Indicates the absolute value symbol; The calculation formula for the water supply impact degree of all pixel points under different schemes within the total time is: In the formula, represents the final water supply of the jth pixel in the total time, represents the water demand of the jth pixel, k represents the number of all pixels in the garden image, It indicates the influence degree of water supply for all pixels under different schemes in the total time. Represents the absolute value symbol.
2. A garden landscape energy-saving irrigation system according to claim 1, characterized in that: The step of obtaining the water requirement of each pixel in the garden image includes: The garden image is segmented according to semantic segmentation to obtain several segmented areas. Then a convolutional neural network is used to classify the segmented areas in the garden image, and the garden image is divided into segmented areas corresponding to roads and segmented areas corresponding to various vegetation. The water demand of each segmented area is obtained according to the water demand of various vegetation in the segmented area, and the water demand of each segmented area is used as the water demand of each pixel point in each segmented area.
3. The garden landscape energy-saving irrigation system according to claim 1, characterized in that: The calculation formula for the water delivery amount of each pixel point in each cycle of the spraying range of each nozzle is: In the formula, represents the water output of the i-th nozzle per second, represents the rotation period of the nozzle, Indicates the total number of pixels contained in the spraying range of the nozzle. It represents the amount of water delivered to each pixel in each cycle of the spraying range of the i-th nozzle.
4. The garden landscape energy-saving irrigation system according to claim 1, characterized in that: The calculation formula for the actual water delivery amount of each pixel point in each cycle of the spraying range of each nozzle is: In the formula, It represents the amount of water delivered to the jth pixel point in each cycle of the spraying range of the i-th nozzle. It represents the Euclidean distance between the i-th nozzle and the j-th pixel point in the spraying range of the nozzle. It represents the actual water supply of the jth pixel point in each cycle of the spraying range of the i-th nozzle after correction, Represents an exponential function with a natural constant as its base.
5. The garden landscape energy-saving irrigation system according to claim 1, characterized in that: The number of rotation cycles is obtained according to the average of the total actual water supply of all pixels in each cycle and the average of the water demand of all pixels, including: The ratio of the mean water demand of all pixels to the mean total actual water supply of all pixels in each cycle is obtained, and then the ratio is rounded up to get the number of rotation cycles.
6. The garden landscape energy-saving irrigation system according to claim 1, characterized in that: The total actual water delivery amount of each pixel point in each cycle is corrected according to the number of rotation cycles to obtain the final water delivery amount of each pixel point in the total time, including: The final water delivery amount of each pixel point in the total time is obtained by multiplying the number of rotation cycles by the total actual water delivery amount of each pixel point in each cycle.
7. The garden landscape energy-saving irrigation system according to claim 1, characterized in that: The optimal solution for landscape energy-saving irrigation is obtained according to the evaluation value of the solution, and the specific steps include the following: The scheme with the largest evaluation value is the optimal scheme for energy-saving irrigation of garden landscape.
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