Intelligent environmental sanitation green belt irrigation system

Abstract

The invention relates to the technical field of urban greening irrigation, in particular to an intelligent environmental sanitation green belt irrigation system which comprises a spray head for irrigation, a water pipe connected with the spray head, and an image acquisition assembly for acquiring a plurality of images of water drops condensed on leaves due to transpiration of plants in a green belt, the image analysis module is used for analyzing a plurality of images acquired by the image acquisition assembly, and the regulation and control module is used for determining that the nozzle executes an irrigation strategy on the basis of a comparison result of the image analysis module and controlling the nozzle to execute the irrigation strategy on the basis of a difference value between the water drop size and a preset water drop size under the condition that the water drop state is unqualified. And determining the irrigation duration of the nozzle and / or the irrigation volume of the nozzle under the condition that the water drop disappearance duration and the preset duration do not reach the standard, or determining an adjustment coefficient based on the image size accuracy of the water drops to adjust the irrigation duration of the nozzle and / or the irrigation volume of the nozzle under the condition that the water drop disappearance duration and the preset duration do not reach the standard, thereby effectively improving the irrigation precision.

Description

Technical Field

[0001] The invention relates to the technical field of urban greening irrigation, and in particular to a green belt irrigation system for intelligent environmental sanitation. Background Art

[0002] With the acceleration of urbanization, urban green belts, as important urban landscape and environmental regulation functional areas, have gradually become part of modern urban infrastructure. Green belts not only provide beautiful landscapes for cities, but also have the functions of improving air quality, regulating climate, reducing noise and protecting biodiversity. However, the maintenance of green belts requires a lot of water resources, especially in the dry season, when water management becomes particularly important. Traditional irrigation systems often rely on manual settings of timing and quantity. In the current green belt irrigation technology, many systems still lack real-time monitoring and intelligent regulation functions for plant water demand, resulting in waste of water resources or over-irrigation of plants. In addition, most of the existing irrigation systems adopt a fixed time or fixed irrigation volume mode, which not only lacks flexibility, but also cannot adjust the irrigation strategy according to actual environmental changes. Such systems usually rely on a single environmental factor, such as temperature and humidity, to infer irrigation needs, while ignoring the transpiration of the plant itself and the changes in water droplets on its leaves.

[0003] Chinese patent publication number: CN116965314A, discloses an intelligent irrigation system for urban green belts, including a water supply system and multiple irrigation areas, a rotating nozzle and a humidity comparison unit, and an infrared information acquisition module. The output end of the water supply source is connected to multiple water supply branches and multiple comparison area branches through a water supply main pipe at the same time. The water supply branch of each group is connected to the rotating nozzle after installing a water supply branch solenoid valve, and the comparison area branch is connected to the humidity comparison unit after installing a comparison branch solenoid valve. The infrared information acquisition module is used to collect infrared image information of the humidity comparison unit range and the non-irrigated range outside the unit in each irrigation area in the same period. The server analyzes and processes the infrared images of the two ranges respectively, and controls the water supply system to supply water to the irrigation area to implement irrigation operations, so as to achieve water saving, intelligent control, uniform coverage, reduce manual operations and improve greening effects. However, the patent still has the following problems:

[0004] The existing intelligent irrigation system determines whether watering is needed based on the dryness and wetness of the surface soil. At the same time, when the green belt plants need watering, they still carry out timed and quantitative irrigation according to the preset irrigation program. Under such irrigation conditions, on the one hand, due to the constant irrigation amount, when the irrigation amount is greater than the water demand of the plants, it will cause a lot of water resources to be wasted. On the other hand, the constant irrigation program cannot change the irrigation strategy according to the real-time changes in the water demand of the green belt plants, which further causes the green belt plants to be unable to grow normally. Summary of the invention

[0005] To this end, the present invention provides a green belt irrigation system for intelligent sanitation, which is used to overcome the problem in the prior art that it is impossible to change the irrigation amount as the real-time water demand of plants changes.

[0006] To achieve the above object, the present invention provides a green belt irrigation system for intelligent sanitation, comprising:

[0007] An irrigation assembly, comprising a sprinkler head, a water pipe connected to the sprinkler head for providing a continuous water supply to the sprinkler head, the sprinkler head being arranged on the upper side of the green belt to irrigate the green belt;

[0008] An image acquisition component, which includes a camera disposed on the water pipe for acquiring images of a number of water droplets condensed on leaves of plants in the green belt due to transpiration;

[0009] A control component, which is connected to the irrigation component and the image acquisition component respectively, includes:

[0010] An image analysis module, which is used to compare a number of water drop images with water drop images at the same time in history to determine the eligibility of the water drop state, and to determine based on a number of water drop images that the water drop disappearance time does not meet the standard, and to determine the accuracy of the size of a number of water drop images within a preset time;

[0011] A control module, which is used to calculate the difference between the water drop size and the preset water drop size based on the unqualified water drop state condition, so as to determine the irrigation time of the sprinkler or determine the irrigation amount of the sprinkler;

[0012] Or, the irrigation duration or irrigation amount of the sprinkler is optimized based on the accuracy failure.

[0013] Furthermore, the irrigation component also includes a valve arranged on the water pipe for controlling the amount of water in the water pipe, a water tank connected to the water pipe and used to continuously provide a continuous water supply to the water pipe, and a water pump connected to the water pipe for continuously supplying water from the water tank to the water pipe.

[0014] Furthermore, the control component also includes a data processing module, which is connected to the image analysis module and is used to obtain historical irrigation duration data and historical irrigation volume data of the green belt, and pre-process and store the collected data.

[0015] Furthermore, the control component also includes a data analysis module, which is connected to the data processing module, and is used to perform similarity measurement based on several historical data of the data processing module to obtain several similar data, and determine the dates corresponding to the several similar data and the dates close to the predicted date as similar days, and extract corresponding historical data, wherein the corresponding historical data include the irrigation duration and irrigation amount of the green belt on the historical similar days, and the data analysis module generates the irrigation duration data and irrigation amount data of the predicted day by using the prediction model based on the historical data of several similar days.

[0016] Furthermore, the control module determines that the state of the water droplets in the water droplet image is unqualified based on the data of the straight-line distance between the two farthest points of the water droplets collected by the image acquisition component, and the comparison result of the straight-line data from the highest point to the lowest point of the water droplets with the historical data.

[0017] Furthermore, the control module determines that the sprinkler head shortens the irrigation duration or reduces the irrigation amount based on the comparison result that the water drop size difference is greater than or equal to a preset water drop size difference.

[0018] Furthermore, the control module determines that the sprinkler head extends the irrigation time or increases the irrigation amount based on the comparison result that the water drop size difference is less than a preset water drop size difference.

[0019] Furthermore, the control module determines that the water drop disappearance time does not meet the standard based on a comparison result that the water drop disappearance time in a plurality of images is greater than a preset time.

[0020] Furthermore, the control module determines the optimized irrigation duration or irrigation amount of the sprinkler based on the condition that the accuracy of the size of several water drop images within a preset time does not meet the standard when the water drop disappearance time does not meet the standard.

[0021] Furthermore, when the accuracy is not up to standard, the control module determines an adjustment coefficient according to the rate of change of the image size of the water droplets to adjust the irrigation strategy of the sprinkler.

[0022] Compared with the prior art, the beneficial effect of the present invention lies in that, by adopting the combination of image acquisition components and control modules, the present invention can not only adjust the irrigation strategy in real time, but also gradually optimize the working parameters of the sprinkler nozzles by comparing historical images, flexibly adjust the working mode of the sprinkler nozzles, and effectively avoid the problem of over-irrigation or under-irrigation, thereby reducing water resource waste and ensuring the healthy growth of plants in the green belt. Through precise analysis of the state of water droplets, the control module can compare the real-time collected water droplet images with historical data to ensure that the size of the water droplets is consistent with the preset standards. This dynamic adjustment mechanism significantly improves the adaptability of the irrigation system, helps to maintain the water demand of the plant roots, and at the same time avoids the problem of excessive moisture or drought in the soil, thereby ensuring the long-term stability of the green belt.

[0023] In addition, based on the accuracy of the water droplet image and the comparison of the disappearance time, the control module of the present invention can flexibly adjust the irrigation time and water volume. This precise adjustment mechanism ensures that the water supply of the green belt is always maintained in the best state, and prevents growth problems of plants caused by excessive or insufficient water. The detection of the water droplet disappearance time provides accurate environmental feedback for the irrigation system. By real-time monitoring of the water droplet disappearance speed, the control module can identify the impact of environmental humidity and temperature changes on water evaporation, thereby adjusting the irrigation time or water volume, ensuring efficient utilization of resources, reducing unnecessary energy consumption and waste of water resources, and meeting the requirements of sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the structure of the sprinkler and the water pipe in the green belt irrigation system of the intelligent sanitation of the present invention;

[0025] Figure 2 It is a logic diagram of the control components, data analysis module and data processing module in the green belt irrigation system of the intelligent sanitation of the present invention;

[0026] Among them: 1-image acquisition component, 2-nozzle, 3-water pipe, 4-valve, 5-water pump, 6-water tank; DETAILED DESCRIPTION

[0027] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0028] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0029] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be understood as a limitation on the present invention.

[0030] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0031] See also Figure 1 , Figure 2 As shown, Figure 1 This is a schematic diagram of the structure of the sprinkler 2 and the water pipe 1 in the green belt irrigation system of the intelligent sanitation system of the present invention. Figure 2 It is a logic diagram of the control components, data analysis module and data processing module in the green belt irrigation system of the intelligent sanitation of the present invention;

[0032] An intelligent green belt irrigation system for sanitation, comprising:

[0033] The irrigation assembly includes a water pipe 3 arranged on the upper side of the green belt for irrigating the green belt, a plurality of nozzles 2 connected to the water pipe 2 and used for spraying water on the green belt to irrigate the green belt, a valve 4 arranged on the water pipe 3 and used for controlling the amount of water in the water pipe 3, a water tank 6 connected to the water pipe 3 and used for continuously providing a continuous water supply to the water pipe 3, and a water pump 5 connected to the water pipe 3 for continuously supplying water from the water tank 6 to the water pipe 3.

[0034] An image acquisition component 1, which includes a camera arranged on a water pipe for acquiring a plurality of images of water droplets condensed on leaves of plants in a green belt due to transpiration;

[0035] In the embodiment of the present invention, each section of the water pipe is provided with a valve, a camera and a plurality of nozzles, and the length of each section of the water pipe is preferably 5 meters.

[0036] A control component connected to the image acquisition component 1 includes:

[0037] An image analysis module, which is used to compare a number of water drop images with water drop images at the same time in history to determine the eligibility of the water drop state, and to determine based on a number of water drop images that the water drop disappearance time does not meet the standard, and to determine the accuracy of the size of a number of water drop images within a preset time;

[0038] A control module, which is used to calculate the difference between the water drop size and the preset water drop size based on the unqualified water drop state condition, so as to determine the irrigation time of the sprinkler or determine the irrigation amount of the sprinkler;

[0039] Or, determining the irrigation duration or irrigation amount of the optimized sprinkler based on the accuracy failure;

[0040] A data processing module, which is connected to the image analysis module, is used to obtain the historical irrigation duration data and historical irrigation volume data of the green belt, and pre-process and store the collected data;

[0041] A data analysis module, which is connected to the data processing module, is used to perform similarity measurement based on several historical data of the data processing module to obtain several historical data of similar dates, and determine several dates whose differences between the historical data of several similar dates and the predicted date are less than or equal to those of the predicted date as similar dates, and extract corresponding historical data. The data analysis module generates irrigation duration data and irrigation quantity data of the predicted date based on the corresponding historical data using a prediction model;

[0042] Specifically, the data processing module is used to acquire and store the historical irrigation duration data and historical irrigation volume data of the green belt within 3 to 5 years. The data analysis module uses the prediction model to generate the irrigation duration data and irrigation volume data of the predicted day as the initial irrigation strategy based on the historical data of irrigation duration data and irrigation volume of the green belt within 3 to 5 years. The prediction day can be any day in the future.

[0043] Among them, the prediction model can be support vector regression (SVR). Support vector regression (SVR) is a regression method based on support vector machine (SVM). SVR finds a function in the data set, which has the smallest error within a predetermined tolerance range, and then constructs an interval band on the data set so that as many data points as possible fall within this interval band, regardless of the specific error in the interval band. Based on the data points in the interval band, the trained model is used to calculate its mapping in high-dimensional space, and then prediction is made according to the function to obtain the target value prediction value.

[0044] In the embodiment of the present invention, in order to improve the accuracy and response speed of the irrigation system, the prediction model is used to help more accurately predict the irrigation demand of the green belt, thereby providing more reliable decision support for the adjustment of the irrigation strategy.

[0045] In the green belt irrigation system of the intelligent sanitation of the embodiment of the present invention, the control module determines the initial irrigation strategy of the sprinkler 2 based on the historical data of the data processing module;

[0046] The image acquisition component 1 is used to collect a number of images of water droplets condensed on the leaves of plants in the green belt due to transpiration under the initial irrigation strategy of the sprinkler 2. The control module determines whether the water drop state is qualified based on the size of the water drop image at the preset time and the size of the water drop image at the same time in the historical moment;

[0047] The initial irrigation strategy is that the sprinkler 2 irrigates the green belt for two consecutive days according to the preset time and preset irrigation amount, and the preset time is 7-15 minutes of continuous irrigation, preferably 10 minutes in the present invention, and the preset irrigation amount is 6-10L / m 2 , the present invention preferably has 7L / m 2 On this basis, the water absorption of the plant roots in the green belt reaches saturation and water droplets produced by the transpiration of the plants will condense on the leaves, and the images of these water droplets on the leaves are collected by the image acquisition component 1, so that the control module can compare this part of the image with the historical collected image.

[0048] Specifically, the qualified condition for the water drop state is that the image of the water drop size at the preset moment is the same as the size of the water drop image at the same historical moment, and the unqualified condition for the water drop state is that the image of the water drop size at the preset moment is not the same as the size of the water drop image at the same preset moment in historical moments.

[0049] Among them, the water drop image size is based on the data of the straight-line distance between the two farthest points of the water drop on the leaf collected by the image acquisition component 1, and the image size of the straight-line data from the highest point to the lowest point of the water drop, and the preset time is the time when the image acquisition component 1 collects the water drop condensed on the leaf, and the present invention is preferably 6 o'clock in the morning every day.

[0050] In the embodiment of the present invention, the image acquisition component 1 calculates the data of the straight-line distance between the two farthest points of the water droplets and the data of the straight-line distance from the highest point to the lowest point of the water droplets based on the image information of the water droplets on the leaves. This part of the data is compared with the data of the straight line between the two farthest points of the water droplets on the leaves and the data of the straight line from the highest point to the lowest point of the water droplets at the same time in history. Among them, at 6 o'clock in the morning of that day in history, the straight-line distance between the two farthest points of the water droplets on the leaves was 0.5-2mm, and the present invention preferably preferred 1mm, and the straight-line distance from the highest point to the lowest point of the water droplets on the leaves was 0.1-0.5mm, and the present invention preferably preferred 0.3mm. When the water droplets on the leaves at 6 o'clock in the morning of that day When the straight-line distance between the two farthest points on the blade is 1.2mm, and the straight-line distance between the highest point and the lowest point of the water droplet on the blade is 0.2mm, the straight-line distance between the two farthest points on the blade is different from the straight-line distance between the two farthest points of the water droplet on the blade at 6 a.m. in the past years. At this time, it can be determined that the image of the water droplet size at the preset time is different from the image of the water droplet size at the same time in history; when the straight-line distance between the two farthest points of the water droplet on the blade at 6 a.m. on the day is 1mm, and the straight-line distance between the highest point and the lowest point of the water droplet on the blade is 0.3mm, it can be determined that the image of the water droplet size at the preset time is the same as the image of the water droplet size at the same time in history.

[0051] In the embodiment of the present invention, the combination of the image acquisition component 1 and the control module can not only adjust the irrigation strategy through real-time data, but also gradually optimize the working parameters of the sprinkler nozzles through the comparison of historical images, flexibly adjust the working mode of the sprinkler nozzles, and effectively avoid the problem of over-irrigation or insufficient irrigation, thereby reducing water waste and ensuring the healthy growth of plants in the green belt.

[0052] Specifically, the control module calculates the difference between the water drop size and the preset water drop size when the water drop image size is unqualified, so as to determine the adjustment strategy for the irrigation of the sprinkler 2 according to the water drop size difference and the preset difference;

[0053] If the water drop size difference is greater than or equal to the preset water drop size difference, the control module determines to control the nozzle 2 with the first adjustment strategy;

[0054] If the water drop size difference is less than the preset water drop size difference, the control module determines to control the nozzle 2 with the second adjustment strategy;

[0055] In this embodiment, the difference in water drop size is the average of the first distance difference and the second distance difference. The first distance difference is the difference between the image size of the water drop on the leaf at a preset moment and the straight-line distance between the two farthest points in the water drop image size at the same moment in history. The second distance difference is the difference between the image size of the water drop on the leaf at a preset moment and the straight-line distance from the highest point to the lowest point in the water drop image size at the same moment in history.

[0056] In an embodiment of the present invention, the preset water drop size difference is preferably 0. When the straight-line distance between the two farthest points of the water droplets on the blade is 1.4 mm at 6 a.m. in the history, and the straight-line distance from the highest point to the lowest point of the water droplets on the blade is 0.4 mm, the first distance difference is 0.4, the second distance difference is 0.1, and the water drop size difference is 0.25. In this case, it is determined that the water drop size difference is greater than or equal to the preset water drop size difference, and the plants in the green belt are in a saturated or excessive irrigation state. At this time, the control module determines to regulate the sprinkler 2 with the first adjustment strategy, and the first adjustment strategy is to regulate the sprinkler 2 to shorten the irrigation time or reduce the irrigation amount, that is, the irrigation time is shortened to 8 minutes, and the irrigation amount is reduced to 5L / m2, so as to reduce the irrigation amount for the plants in the green belt.

[0057] At 6 o'clock in the morning of that day, when the straight-line distance between the two farthest points of the water droplets on the leaf is 1mm, and the straight-line distance between the highest point and the lowest point of the water droplets on the leaf is 0.2mm, the first distance difference is -0.2, the second distance difference is -0.1, and the water drop size difference is -0.15. In this case, it is determined that the water drop size difference is less than the preset water drop size difference, that is, the amount of plant irrigation in the green belt is in a state of lack. At this time, the control module determines to regulate the sprinkler 2 with the second adjustment strategy, and the second adjustment strategy is to regulate the sprinkler 2 to extend the irrigation time or increase the irrigation amount, that is, the irrigation time is extended to 15 minutes, and the irrigation amount is increased to 8L / m 2 , in order to replenish water for plants in the green belt.

[0058] In the embodiment of the present invention, through precise analysis of the state of water droplets, the control module can compare the real-time collected water droplet images with historical data to ensure that the size of the water droplets is consistent with the preset standard. This dynamic adjustment mechanism significantly improves the adaptability of the irrigation system, helps to maintain the water needs of plant roots, and avoids soil over-wetting or drought problems, thereby ensuring the long-term stability of the green belt.

[0059] In this embodiment, the control module determines whether the water drop disappearance time reaches the standard based on the comparison result of the water drop disappearance time in a plurality of images with the preset time;

[0060] When the water drop disappears for a certain period of time, the irrigation time and amount of sprinkler 2 are determined to remain the same;

[0061] When the time for the water droplets to disappear does not meet the standard, the irrigation time or irrigation amount of the sprinkler 2 is adjusted;

[0062] Specifically, the condition for the water drop disappearance time to meet the standard is that the water drop disappearance time is less than or equal to the preset time, and the condition for the water drop disappearance time to fail to meet the standard is that the water drop disappearance time is greater than the preset time;

[0063] In this embodiment, the preset time for the water droplets to disappear can be 0.5-1h, and the preferred time in the present invention is 1h. When the water droplets disappearing time collected by the image acquisition unit is 1.1h, the water droplets disappearing time reaches the standard, which indicates that the ambient temperature and soil moisture stability of the green belt are suitable, and the control module determines the irrigation time and irrigation amount of the sprinkler 2 to maintain the status quo;

[0064] When the disappearance time of water droplets collected by the image acquisition unit is 0.7h, the disappearance time of water droplets does not meet the standard. This indicates that the ambient temperature or soil moisture stability of the green belt has changed, which makes the plants in the green belt in a state of insufficient irrigation. The control module determines to adjust the irrigation time and irrigation amount of sprinkler 2 by extending the irrigation time or increasing the irrigation amount.

[0065] In an embodiment of the present invention, the detection of the disappearance time of water droplets provides accurate environmental feedback for the irrigation system. By real-time monitoring of the disappearance speed of water droplets, the control module can identify the impact of environmental humidity and temperature changes on water evaporation, thereby adjusting the irrigation time or water volume, ensuring efficient use of resources, reducing unnecessary energy consumption and water waste, and meeting the requirements of sustainable development.

[0066] In the green belt irrigation system of the intelligent sanitation of the embodiment of the present invention, the control module determines the irrigation mode executed by the sprinkler 2 based on the accuracy of the size of a number of water drop images within a preset time when the water drop disappearance time does not meet the standard;

[0067] When the accuracy reaches the standard, the control module determines that the irrigation mode of the sprinkler 2 is to maintain the status quo;

[0068] When the accuracy does not meet the standard, the control module determines to optimize the irrigation duration or irrigation amount of the sprinkler 2 .

[0069] Among them, the accuracy is the average of the similarities between the sizes of several water droplets images in a preset time and the sizes of water droplets images at several same moments in history, and the condition for meeting the accuracy standard is that the similarity between the sizes of water droplets images in the preset time and the sizes of water droplets images at several same moments in history is greater than or equal to the preset similarity, and the condition for failing to meet the accuracy standard is that the similarity between the sizes of several water droplets images in the preset time and the sizes of water droplets images at several same moments in history is less than the preset similarity.

[0070] In this embodiment, the preset similarity range is 90%-100%, and the preferred value of the present invention is 90%. When the similarity between the water drop image size at the preset time and the water drop image size at the same time in history is 90%, the accuracy is up to standard, and the control module determines that the irrigation mode of the sprinkler 2 is to maintain the status quo, that is, the sprinkler 2 continues to maintain the irrigation time of 10 minutes and the irrigation amount of 7L / m 2 .

[0071] Specifically, when the accuracy is not up to standard, the control module determines the adjustment coefficient according to the rate of change of the image size of the water droplets to adjust the irrigation strategy of the sprinkler 2.

[0072] If the change rate of the image size of the water droplets is greater than or equal to the preset change rate, the control module determines to optimize the irrigation duration or irrigation amount of the sprinkler 2 with the first solution;

[0073] If the change rate of the image size of the water droplets is less than the preset change rate, the control module determines to optimize the irrigation duration or irrigation amount of the sprinkler 2 with the second solution;

[0074] In this embodiment, the change rate of the image size of the water drop is the sum of the ratio of the absolute value of the first distance difference to the first preset value and the ratio of the absolute value of the second distance difference to the second preset value;

[0075] The first preset value is the preset straight-line distance between the two farthest points of the water droplets on the leaf, and the second preset value is the preset straight-line distance between the highest point and the lowest point of the water droplets on the leaf;

[0076] In addition, the adjustment coefficient is a ratio of the sum of the absolute value of the first distance difference and the absolute value of the second distance difference to the sum of the first preset value and the second preset value.

[0077] In this embodiment, the image size change rate of the water droplets ranges from 0.1 to 0.2, and the preferred value of the present invention is 0.2. When the straight-line distance between the two farthest points of the water droplets on the blade is 1.2 mm, the straight-line distance from the highest point to the lowest point of the water droplets on the blade is 0.2 mm, and the first preset value is 1 mm, and the second preset value is 0.3 mm, the value of the change is 0.53, and the value of the adjustment coefficient is 0.23. At this time, the control module determines to optimize the irrigation duration or irrigation amount of the sprinkler 2 with the first solution. At this time, the optimized irrigation duration is the ratio of the initial irrigation duration to the difference between 1 and the adjustment coefficient.

[0078] That is, the optimized irrigation duration T is 12.98 minutes.

[0079] The optimized irrigation amount is the ratio of the initial irrigation amount to 1 minus the adjustment coefficient.

[0080] That is, the optimized irrigation volume is 9.09L / m 2 .

[0081] When the straight-line distance between the two farthest points of the water droplets on the blade is 1.1mm, the straight-line distance from the highest point to the lowest point of the water droplets on the blade is 0.27mm, and the first preset value is 1mm, and the second preset value is 0.3mm, the value of the change is 0.11, and the value of the adjustment coefficient is 0.1. At this time, the control module determines to optimize the irrigation time or irrigation amount of the sprinkler 2 with the second scheme. At this time, the optimized irrigation time is the product of the initial irrigation time and 1 plus the adjustment coefficient.

[0082] That is, the optimized irrigation time T is 11 minutes.

[0083] The optimized irrigation amount is the product of the initial irrigation amount and the coefficient of 1.

[0084] That is, the optimized irrigation volume is 7.7L / m 2 .

[0085] In an embodiment of the present invention, based on the comparison of the accuracy change rate and disappearance time of the water droplet image, the control module can flexibly adjust the irrigation time and water volume. This precise adjustment mechanism ensures that the water supply of the green belt is always maintained in the best state, preventing plant growth problems caused by too much or too little water.

[0086] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0087] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent green belt irrigation system for sanitation, characterized in that: include: An irrigation assembly, comprising a sprinkler head, a water pipe connected to the sprinkler head for providing a continuous water supply to the sprinkler head, the sprinkler head being arranged on the upper side of the green belt to irrigate the green belt; An image acquisition component, which includes a camera disposed on the water pipe for acquiring images of a number of water droplets condensed on leaves of plants in the green belt due to transpiration; A control component, which is connected to the irrigation component and the image acquisition component respectively, includes: An image analysis module, which is used to compare a number of water drop images with water drop images at the same time in history to determine the eligibility of the water drop state, and to determine based on a number of water drop images that the water drop disappearance time does not meet the standard, and to determine the accuracy of the size of a number of water drop images within a preset time; A control module, which is used to calculate the difference between the water drop size and the preset water drop size based on the unqualified water drop state condition, so as to determine the irrigation time of the sprinkler or determine the irrigation amount of the sprinkler; Or, the irrigation duration or irrigation amount of the sprinkler is optimized based on the accuracy failure.

2. The green belt irrigation system of intelligent sanitation according to claim 1 is characterized in that: The irrigation assembly also includes a valve arranged on the water pipe for controlling the amount of water in the water pipe, a water tank connected to the water pipe and used to continuously provide a continuous water supply to the water pipe, and a water pump connected to the water pipe for continuously supplying water from the water tank to the water pipe.

3. The green belt irrigation system of intelligent sanitation according to claim 1 is characterized in that: The control component also includes a data processing module, which is connected to the image analysis module and is used to obtain historical irrigation duration data and historical irrigation volume data of the green belt, and pre-process and store the collected data.

4. The green belt irrigation system of intelligent sanitation according to claim 1 is characterized in that: The control component also includes a data analysis module, which is connected to the data processing module and is used to perform similarity measurement based on several historical data of the data processing module to obtain several similar data, and determine the dates corresponding to the several similar data and the dates close to the predicted date as similar days, and extract corresponding historical data, wherein the corresponding historical data include the irrigation duration and irrigation amount of the green belt on the historical similar days. The data analysis module generates the irrigation duration data and irrigation amount data of the predicted day by using the prediction model based on the historical data of several similar days.

5. The green belt irrigation system of intelligent sanitation according to claim 1 is characterized in that: The control module determines that the state of the water droplets in the water droplet image is unqualified based on the data of the straight-line distance between the two farthest points of the water droplets collected by the image acquisition component and the comparison result of the straight-line data from the highest point to the lowest point of the water droplets with the historical data.

6. The green belt irrigation system of intelligent sanitation according to claim 5, characterized in that: The control module determines that the sprinkler head shortens the irrigation time or reduces the irrigation amount based on the comparison result that the water drop size difference is greater than or equal to the preset water drop size difference.

7. The green belt irrigation system of intelligent sanitation according to claim 5 is characterized in that: The control module determines that the sprinkler head extends the irrigation time or increases the irrigation amount based on the comparison result that the water drop size difference is less than a preset water drop size difference.

8. The green belt irrigation system of intelligent sanitation according to claim 7, characterized in that: The control module determines that the water drop disappearance time does not meet the standard based on the comparison result that the water drop disappearance time in a plurality of images is greater than the preset time.

9. The green belt irrigation system of intelligent sanitation according to claim 8, characterized in that: The control module determines the optimized irrigation time or irrigation amount of the sprinkler head based on the condition that the accuracy of the size of a number of water drop images within a preset time does not meet the standard when the water drop disappearance time does not meet the standard.

10. The green belt irrigation system of intelligent sanitation according to claim 9, characterized in that: When the accuracy is not up to standard, the control module determines an adjustment coefficient according to the rate of change of the image size of the water droplets to adjust the irrigation strategy of the sprinkler.

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