Intelligent sanitation green belt irrigation system

Abstract

The application relates to the technical field of urban greening irrigation, in particular to an intelligent environmental protection green belt irrigation system, which comprises a spray head for irrigation, a water pipe connected with the spray head, an image acquisition assembly for acquiring a plurality of images of water droplets condensed on leaves of plants in the green belt due to transpiration, an image analysis module based on the plurality of images analyzed by the image acquisition assembly, a regulation module based on comparison results of the image analysis module to determine an irrigation strategy executed by the spray head, and the regulation module determines irrigation duration of the spray head and / or irrigation volume of the spray head based on a difference between the size of the water droplets and a preset water droplet size under the condition that the state of the water droplets is unqualified, or determines an adjustment coefficient to adjust the irrigation duration of the spray head and / or the irrigation volume of the spray head based on the image size accuracy of the water droplets under the condition that the disappearance duration of the water droplets does not meet a preset duration, so that the accuracy of irrigation is effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of urban green belt irrigation, and particularly relates to an intelligent environmental protection green belt irrigation system. BACKGROUND

[0002] With the acceleration of urbanization, urban green belts, as important urban landscapes and environmental regulation zones, 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 large amount of water resources, especially in the dry season, and water management becomes particularly important. Traditional irrigation systems often rely on manual settings of timing and quantity, and in current green belt irrigation technology, many systems still lack real-time monitoring of plant water demand and intelligent adjustment functions, leading to waste of water resources or over-irrigation of plants. In addition, most existing irrigation systems use fixed time or fixed irrigation volume modes, which lack flexibility and cannot adjust irrigation strategies according to actual environmental changes. Such systems usually rely on a single environmental factor, such as temperature and humidity, to estimate irrigation needs, while ignoring the transpiration of plants and the changes in water droplets on their leaves.

[0003] Chinese Patent Publication No. CN116965314A discloses an urban green belt intelligent irrigation system, which includes a water supply system and multiple irrigation zones, rotating sprinklers, humidity comparison units, and an infrared information acquisition module. The output end of the water supply source is connected to multiple water supply branch pipes and multiple comparison zone branch pipes through a water supply main pipe. Each water supply branch pipe is connected to a rotating sprinkler after installing a water supply branch pipe electromagnetic valve. Each comparison zone branch pipe is connected to a humidity comparison unit after installing a comparison branch pipe electromagnetic valve. The infrared information acquisition module acquires infrared image information of the humidity comparison unit range and the non-irrigated range outside the unit within the same period for each irrigation zone. The server analyzes and processes the infrared images of the two ranges, controls the water supply system to supply water to the irrigation zone for irrigation, and achieves the purposes of water saving, intelligent control, uniform coverage, reducing manual operation, and improving greening effect. However, this patent still has the following problems:

[0004] The existing intelligent irrigation system determines whether to water based on the dryness and humidity of the ground soil. Even under the condition that the green belt plants need to be watered, it still follows the preset irrigation program for timing and quantity irrigation. Under such irrigation conditions, on the one hand, the constant irrigation amount will cause a large amount of water resources to be wasted when the irrigation amount is greater than the water demand of the plants. On the other hand, the constant irrigation program cannot change the irrigation strategy according to the real-time water demand changes of the green belt plants, further leading to the inability of the green belt plants to grow normally. SUMMARY

[0005] To this end, the present application provides a green belt irrigation system of intelligent environmental sanitation, to overcome the problem that the irrigation amount cannot be changed with the real-time water demand of plants in the prior art.

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

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

[0008] An image acquisition assembly comprising a camera arranged on the water pipe for acquiring images of a plurality of water droplets condensed on the leaves of plants in the green belt due to transpiration;

[0009] A control assembly connected with the irrigation assembly and the image acquisition assembly, respectively, comprising,

[0010] An image analysis module for comparing the plurality of water droplet images with historical water droplet images at the same time to determine the eligibility of the water droplet state, and determining that the water droplet disappearance duration based on the plurality of water droplet images is not up to standard, and determining the accuracy of the size of the plurality of water droplet images within a preset time;

[0011] A regulation module for calculating the difference between the size of the water droplets and the preset water droplet size based on the unqualified condition of the water droplet state, to determine the irrigation duration of the spray head or the irrigation amount of the spray head;

[0012] Or, based on the inaccuracy, determine the optimized irrigation duration or irrigation amount of the spray head.

[0013] Further, the irrigation assembly further comprises a valve arranged on the water pipe for controlling the water amount in the water pipe, a water tank connected with the water pipe and used for continuously providing a continuous water supply to the water pipe, and a water pump connected with the water pipe and used for continuously supplying water from the water tank to the water pipe.

[0014] Further, the control assembly further comprises a data processing module connected with the image analysis module, for acquiring historical irrigation duration data and historical irrigation amount data of the green belt, and pre-processing and storing the acquired data.

[0015] Further, the control component further comprises a data analysis module connected with the data processing module, configured to perform similarity measurement based on a plurality of historical data of the data processing module to obtain a plurality of similar data, and determine a similar day corresponding to a date close to the prediction day according to the similar data, and extract corresponding historical data, wherein the corresponding historical data comprises irrigation time and irrigation amount of the green belt on the historical similar day, and the data analysis module generates irrigation time data and irrigation amount data of the prediction day based on the historical data of the similar day by using a prediction model.

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

[0017] Further, the regulation module determines that the irrigation time or the irrigation amount of the sprinkler is shortened based on the comparison result that the water droplet size difference is greater than or equal to the preset water droplet size difference.

[0018] Further, the regulation module determines that the irrigation time or the irrigation amount of the sprinkler is increased based on the comparison result that the water droplet size difference is less than the preset water droplet size difference.

[0019] Further, the regulation module determines that the water droplet disappearance time is not up to standard based on the comparison result that the water droplet disappearance time in a plurality of images is greater than a preset time.

[0020] Further, the regulation module determines the irrigation time or the irrigation amount of the optimized sprinkler based on the accuracy of the water droplet image size in a preset time under the condition that the water droplet disappearance time is not up to standard.

[0021] Further, the regulation module determines an adjustment coefficient to adjust the irrigation strategy of the sprinkler according to the image size change rate of the water droplet under the condition that the accuracy is not up to standard.

[0022] Compared with the prior art, the present application has the beneficial effects that by combining the image acquisition component and the regulation module, the present application can not only adjust the irrigation strategy in real time, but also gradually optimize the working parameters of the sprinkler and flexibly adjust the working mode of the sprinkler through comparison of historical images, effectively avoiding the problems of excessive irrigation or insufficient irrigation, thereby reducing water resource waste and ensuring the healthy growth of the green belt plants, and through accurate water droplet state analysis, the regulation module can compare the real-time collected water droplet image with the historical data, thereby ensuring that the water droplet size meets the preset standard, which significantly improves the adaptability of the irrigation system, helps to maintain the water demand of the plant root system, avoids the problem of excessive soil moisture or drought, and ensures the long-term stability of the green belt.

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

[0024] Figure 1 FIG. 1 is a structural schematic view of the nozzle and water pipe in the intelligent environmental sanitation green belt irrigation system according to the present application;

[0025] Figure 2 FIG. 2 is a logic diagram of the control assembly, data analysis module and data processing module in the intelligent environmental sanitation green belt irrigation system according to the present application;

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

[0027] In order to make the purpose and advantages of the present application clearer and more apparent, the present application will be further described below in conjunction with examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application.

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

[0029] It should be noted that in the description of the present application, the terms "up", "down", "left", "right", "in", "out" and the like indicate the direction or positional relationship terms based on the direction or positional relationship shown in the drawings, which are only for the convenience of description and do not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0030] Moreover, it needs to be explained that, in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected, it can be mechanical connection, or electrical connection, it can be directly connected, or indirectly connected through intermediate medium, it can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0031] Please refer to Figure 1 、 Figure 2 , Figure 1 is a structure diagram of the spray head 2 and the water pipe 1 in the green belt irrigation system of the intelligent environmental sanitation, Figure 2 is a logic diagram of the control assembly and the data analysis module, the data processing module in the green belt irrigation system of the intelligent environmental sanitation;

[0032] A green belt irrigation system of intelligent environmental sanitation, comprising:

[0033] An irrigation assembly, comprising a water pipe 3 arranged on the upper side of the green belt for irrigating the green belt, a plurality of spray heads 2 connected with 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 for controlling the water quantity in the water pipe 3, a water tank 6 connected with the water pipe 3 and used for continuously supplying water source to the water pipe 3, and a water pump 5 connected with the water pipe 3 for continuously supplying water source from the water tank 6 to the water pipe 3.

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

[0035] In the embodiment of the present application, one valve, one camera and a plurality of spray heads are arranged on each water pipe, and the length of each water pipe is preferably 5 meters.

[0036] A control assembly connected with the image acquisition assembly 1, comprising

[0037] An image analysis module, which is used to compare a plurality of water droplet images with historical water droplet images at the same time to determine the eligibility of the water droplet state, and to determine that the duration of water droplet disappearance based on a plurality of water droplet images is not up to standard, and to determine the accuracy of the size of a plurality of water droplet images within a preset time;

[0038] A regulation module, which is used to calculate the difference between the size of the water droplets and the preset water droplet size based on the unqualified condition of the water droplet state, to determine the irrigation time of the spray head or to determine the irrigation amount of the spray head;

[0039] Or, based on the inaccuracy, the irrigation time or irrigation amount of the optimized spray head is determined;

[0040] The data processing module, which is connected to the image analysis module, is used to acquire historical irrigation duration data and historical irrigation volume data of the green belt, and to preprocess and store the collected data.

[0041] The data analysis module, connected to the data processing module, is used to perform similarity measurement based on several historical data from the data processing module to obtain historical data for several similar dates. It identifies several dates whose historical data for several similar dates differ from the predicted date by less than or equal to the predicted date as similar dates and extracts the corresponding historical data. Based on the corresponding historical data, the data analysis module uses a prediction model to generate irrigation duration data and irrigation amount data for the predicted date.

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

[0043] The prediction model can be Support Vector Regression (SVR), which is a regression method based on Support Vector Machine (SVM). SVR finds a function in the dataset that has the minimum error within a predetermined tolerance range, and then constructs a margin in the dataset so that as many data points as possible fall within this margin, without considering the specific error within the margin. Based on the data points within the margin, the trained model is used to calculate their mapping in high-dimensional space, and then prediction is made according to the function to obtain the predicted value of the target.

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

[0045] The intelligent sanitation green belt irrigation system of this invention has a control module that determines the initial irrigation strategy of sprinkler head 2 based on historical data from the data processing module.

[0046] Image acquisition component 1 is used to acquire several images of water droplets condensed on the leaves of plants in the green belt due to transpiration under the initial irrigation strategy of sprinkler 2. The control module determines whether the water droplet status is qualified based on the size of the water droplet image at a preset time and the size of the water droplet image at the same time in the history.

[0047] The initial irrigation strategy is that the sprinkler 2 continuously irrigates the green belt for a preset time and a preset irrigation amount for two consecutive days, the preset time is 7-15 minutes for one continuous irrigation, preferably 10 minutes, and the preset irrigation amount is 6-10 L / m 2 , preferably 7 L / m 2 On this basis, the water absorption of the plant root system in the green belt reaches saturation, and water droplets generated by transpiration of the plants condense on the leaves, and the image of the water droplets on the leaves is collected by the image collection assembly 1, so that the regulation module can compare the image with the historical collected image.

[0048] Specifically, the water droplet state qualified condition is that the water droplet size in the image at the preset time is the same as the water droplet image size at the same time in the historical time, and the water droplet state unqualified condition is that the water droplet size in the image at the preset time is different from the water droplet image size at the same preset time in the historical time.

[0049] The water droplet image size is based on the data of the straight line distance between the two farthest points of the water droplets on the leaves collected by the image collection assembly 1, and the image size of the straight line data from the highest point to the lowest point of the water droplets, and the preset time is the time when the water droplets condense on the leaves collected by the image collection assembly 1, preferably 6 o'clock in the morning every day.

[0050] In the embodiment of the application, the image collection assembly 1 calculates the data of the straight line distance between the two farthest points of the water droplets on the leaves 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, and compares the data with the data of the straight line distance between the two farthest points of the water droplets on the leaves and the data of the straight line distance from the highest point to the lowest point of the water droplets in the historical same time, wherein the straight line distance between the two farthest points of the water droplets on the leaves at 6 o'clock in the morning on the same day in the history is 0.5-2 mm, preferably 1 mm, and the straight line distance from the highest point to the lowest point of the water droplets on the leaves is 0.1-0.5 mm, preferably 0.3 mm, when the straight line distance between the two farthest points of the water droplets on the leaves at 6 o'clock in the morning on the same day is 1.2 mm and the straight line distance from the highest point to the lowest point of the water droplets on the leaves is 0.2 mm, the straight line distance between the two farthest points of the water droplets on the leaves at 6 o'clock in the morning on the same day is different from the straight line distance between the two farthest points of the water droplets on the leaves at 6 o'clock in the morning on the same day in the history, and at this time it can be determined that the water droplet size in the image at the preset time is different from the water droplet image size at the same time in the historical time; when the straight line distance between the two farthest points of the water droplets on the leaves at 6 o'clock in the morning on the same day is 1 mm and the straight line distance from the highest point to the lowest point of the water droplets on the leaves is 0.3 mm, it can be determined that the water droplet size in the image at the preset time is the same as the water droplet image size at the same time in the historical time.

[0051] In the embodiment of the present application, 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 and flexibly adjust the working mode of the sprinkler through comparison of historical images, thereby effectively avoiding the problems of excessive irrigation or insufficient irrigation, reducing water resource waste and ensuring the healthy growth of the green belt plants.

[0052] Specifically, the control module calculates a water bead size difference value of the water bead size and a preset water bead size under the condition that the water bead image size is unqualified, to determine an adjustment strategy for the sprinkler 2 irrigation according to the water bead size difference value and a preset difference value;

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

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

[0055] In the embodiment, the water bead size difference value is the average of the first distance difference value and the second distance difference value, the first distance difference value is the difference between the image size of the water bead at a preset time on the leaf and the straight line distance between the two farthest points in the water bead image size at the same time in the historical time, and the second distance difference value is the difference between the image size of the water bead at a preset time on the leaf and the straight line distance between the highest point and the lowest point in the water bead image size at the same time in the historical time.

[0056] In the embodiment of the present application, the preset water bead size difference value is preferably 0. When the straight line distance between the two farthest points of the water bead on the leaf at 6 o'clock in the morning on the day is 1.4 mm and the straight line distance between the highest point and the lowest point of the water bead on the leaf is 0.4 mm, the first distance difference value is 0.4, the second distance difference value is 0.1, and the water bead size difference value is 0.25. In this case, it is determined that the water bead size difference value is greater than or equal to the preset water bead size difference value, and the plants in the green belt are in a saturated or excessive irrigation state. At this time, the control module determines to control the sprinkler 2 with the first adjustment strategy, and the first adjustment strategy is to control the sprinkler 2 to shorten the irrigation time or reduce the irrigation amount, i.e., the irrigation time is shortened to 8 min and the irrigation amount is reduced to 5 L / m2, so as to reduce the irrigation amount of the plants in the green belt.

[0057] When the two farthest points on the leaf are 1mm apart at 6am, and the highest point to the lowest point on the leaf is 0.2mm apart, the first distance difference is -0.2, the second distance difference is -0.1, and the water droplet size difference is -0.15, in this case, it is determined that the water droplet size difference is less than the preset water droplet size difference, that is, the plant irrigation amount in the green belt is in a lack state, at this time, the control module determines to adjust the nozzle 2 with the second adjustment strategy, and the second adjustment strategy is to adjust the nozzle 2 to prolong the irrigation time or increase the irrigation amount, that is, the irrigation time is prolonged to 15min, and the irrigation amount is increased to 8L / m 2 , and the water droplet size difference is less than the preset water droplet size difference, that is, the plant irrigation amount in the green belt is in a lack state, at this time, the control module determines to adjust the nozzle 2 with the second adjustment strategy, and the second adjustment strategy is to adjust the nozzle 2 to prolong the irrigation time or increase the irrigation amount, that is, the irrigation time is prolonged to 15min, and the irrigation amount is increased to 8L / m

[0058] In the embodiment of the present application, through accurate water droplet state analysis, the control module can compare the real-time collected water droplet image with the historical data, so as to ensure that the water droplet size meets the preset standard, and the dynamic adjustment mechanism significantly improves the adaptability of the irrigation system, helps to maintain the water demand of plant root system, avoids the problem of over-wetting or drought of soil, and ensures the long-term stability of the green belt.

[0059] In the embodiment, the control module determines whether the water droplet disappearance time length meets the standard based on the comparison result of the water droplet disappearance time length and the preset time length in a plurality of images;

[0060] When the water droplet disappearance time length meets the standard, it is determined that the irrigation time and the irrigation amount of the nozzle 2 remain the same;

[0061] When the water droplet disappearance time length does not meet the standard, it is determined to adjust the irrigation time or the irrigation amount of the nozzle 2;

[0062] Specifically, the water droplet disappearance time length meets the standard if the water droplet disappearance time length is less than or equal to the preset time length, and the water droplet disappearance time length does not meet the standard if the water droplet disappearance time length is greater than the preset time length;

[0063] In the embodiment, the preset time length of water droplet disappearance can be 0.5-1h, and the present application preferably 1h, when the water droplet disappearance time length collected by the image acquisition unit is 1.1h, the water droplet disappearance time length meets the standard, at this time, it is indicated that the environmental temperature and the soil water content stability of the green belt are suitable, and the control module determines that the irrigation time and the irrigation amount of the nozzle 2 remain the same;

[0064] When the water droplet disappearance time length collected by the image acquisition unit is 0.7h, the water droplet disappearance time length does not meet the standard, at this time, it is indicated that the environmental temperature or the soil water content stability of the green belt has changed, and the plant in the green belt is in a state of insufficient irrigation amount, and the control module determines that the adjustment mode of the irrigation time and the irrigation amount of the nozzle 2 is to prolong the irrigation time or increase the irrigation amount.

[0065] In the embodiment of the present application, the detection of the water bead disappearance duration provides precise environmental feedback for the irrigation system. By monitoring the water bead disappearance speed in real time, the regulation module can identify the influence of environmental humidity and temperature changes on water evaporation, thereby adjusting the irrigation duration or water volume, ensuring efficient use of resources, reducing unnecessary energy consumption and water waste, and meeting the requirements of sustainable development.

[0066] The green belt irrigation system of the intelligent environmental sanitation of the embodiment of the present application, under the condition that the water bead disappearance duration does not meet the standard, determines the irrigation mode of the sprinkler 2 based on the accuracy of the size of a plurality of water bead images in a preset time;

[0067] When the accuracy meets the standard, the regulation module determines the sprinkler 2 irrigation mode as keeping the status quo;

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

[0069] The accuracy is the average similarity degree of the size of a plurality of water bead images in a preset time and the size of a plurality of water bead images at the same time in history, and the condition for the accuracy meeting the standard is that the similarity degree of the size of a plurality of water bead images in a preset time and the size of a plurality of water bead images at the same time in history is greater than or equal to a preset similarity degree, and the condition for the accuracy not meeting the standard is that the similarity degree of the size of a plurality of water bead images in a preset time and the size of a plurality of water bead images at the same time in history is less than the preset similarity degree.

[0070] In the embodiment, the value range of the preset similarity degree is 90%-100%, and the present application preferably 90%. When the similarity degree of the size of a plurality of water bead images in a preset time and the size of a plurality of water bead images at the same time in history is 90%, the accuracy meets the standard, and the regulation module determines the sprinkler 2 irrigation mode as keeping the status quo, that is, the sprinkler 2 continues to keep the irrigation time as 10 min and the irrigation volume as 7L / m 2 .

[0071] Specifically, under the condition that the accuracy does not meet the standard, the regulation module determines the adjustment coefficient according to the image size change rate of the water bead to adjust the irrigation strategy of the sprinkler 2.

[0072] If the image size change rate of the water bead is greater than or equal to a preset change rate, the regulation module determines to optimize the irrigation duration or irrigation volume of the sprinkler 2 in a first scheme;

[0073] If the image size change rate of the water bead is less than the preset change rate, the regulation module determines to optimize the irrigation duration or irrigation volume of the sprinkler 2 in a second scheme;

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

[0075] wherein the first preset value is a preset straight-line distance of the water droplet at two farthest points on the leaf, and the second preset value is a preset straight-line distance of the water droplet from the highest point to the lowest point on the leaf;

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

[0077] In the embodiment, the image size change rate of the water droplet is 0.1-0.2, and the application preferably 0.2. When the straight-line distance of the water droplet at two farthest points on the leaf is 1.2 mm, the straight-line distance of the water droplet from the highest point to the lowest point on the leaf is 0.2 mm, the first preset value is 1 mm, and the second preset value is 0.3 mm, the value of the change amount is 0.53, and the value of the adjustment coefficient is 0.23. At this time, the control module determines to optimize the irrigation time length or the irrigation amount of the sprinkler 2 according to the first scheme. At this time, the optimized irrigation time length is a ratio of the initial irrigation time length to a difference value of 1 minus the adjustment coefficient.

[0078] That is, the optimized irrigation time length Tlength is 12.98 min.

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

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

[0081] When the straight-line distance of the water droplet at two farthest points on the leaf is 1.1 mm, the straight-line distance of the water droplet from the highest point to the lowest point on the leaf is 0.27 mm, the first preset value is 1 mm, and the second preset value is 0.3 mm, the value of the change amount 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 length or the irrigation amount of the sprinkler 2 according to the second scheme. At this time, the optimized irrigation time length is a product of the initial irrigation time length and 1 plus the adjustment coefficient.

[0082] That is, the optimized irrigation time length Tlength is 11 min,

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

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

[0085] In the embodiment, based on the comparison of the accuracy change rate and the disappearance time length of the water droplet image, the control module can flexibly adjust the irrigation time length and the water amount. The precise adjustment mechanism ensures that the water supply of the green belt is always in the best state, and prevents the growth problems of plants caused by excessive or insufficient water.

[0086] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after the changes or replacements will all fall within the protection scope of the present application.

[0087] The above is only the preferred embodiment of the present application, and is not used to limit the present application; for those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A green belt irrigation system for intelligent environmental sanitation, characterized in that, The application relates to an irrigation system for a green belt, comprising: an irrigation assembly comprising a sprinkler head, a water pipe connected to the sprinkler head for continuously supplying water to the sprinkler head, and the sprinkler head being arranged on the upper side of the green belt to irrigate the green belt; an image acquisition assembly comprising a camera arranged on the water pipe for acquiring images of water droplets condensed on leaves of plants in the green belt due to transpiration; and a control assembly connected to the irrigation assembly and the image acquisition assembly, comprising: an image analysis module configured to compare the images of the water droplets with historical images of water droplets at the same time to determine the eligibility of the state of the water droplets, and to determine that the length of time for the water droplets to disappear is not up to standard based on the images of the water droplets, and to determine the accuracy of the size of the water droplets in the images within a preset time; and a regulation module configured to calculate the difference between the size of the water droplets and a preset water droplet size based on the condition that the state of the water droplets is not up to standard, to determine the irrigation time of the sprinkler head or to determine the irrigation amount of the sprinkler head; or to determine the optimized irrigation time or irrigation amount of the sprinkler head based on the condition that the accuracy is not up to standard. The irrigation assembly further comprises 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 for continuously supplying water 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. The control assembly further comprises a data processing module connected to the image analysis module, configured to acquire historical irrigation time data and historical irrigation amount data of the green belt, and to preprocess and store the acquired data. The control assembly further comprises a data analysis module connected to the data processing module, configured to measure the similarity of a plurality of historical data based on the plurality of historical data of the data processing module to obtain a plurality of similar data, to determine a similar day as a date close to a prediction day corresponding to the plurality of similar data, and to extract corresponding historical data, wherein the corresponding historical data comprises the irrigation time and the irrigation amount of the green belt on the historical similar day, and the data analysis module generates the irrigation time data and the irrigation amount data of the prediction day based on the historical data of the plurality of similar days using a prediction model. The regulation module determines that the state of the water droplets in the image is not up to standard based on the data of the straight-line distance between the two farthest points of the water droplets and the comparison result of the straight-line data between the highest point and the lowest point of the water droplets and historical data acquired by the image acquisition assembly. The regulation module determines that the sprinkler head needs to shorten the irrigation time or reduce the irrigation amount based on the comparison result that the difference between the size of the water droplets is greater than or equal to a preset water droplet size difference. The regulation module determines that the sprinkler head needs to lengthen the irrigation time or increase the irrigation amount based on the comparison result that the difference between the size of the water droplets is less than the preset water droplet size difference.

2. The intelligent landscaping green belt irrigation system according to claim 1, wherein, The regulation module determines that the length of time for the water droplets to disappear is not up to standard based on the comparison result that the length of time for the water droplets to disappear in a plurality of images is greater than a preset length of time. 3.The intelligent landscaping irrigation system of claim 1, wherein, The regulation module determines the optimized irrigation time or irrigation amount of the sprinkler head based on the condition that the accuracy of the size of the water droplets in a plurality of images within a preset time is not up to standard under the condition that the length of time for the water droplets to disappear is not up to standard. 4.The intelligent landscaping irrigation system of claim 1, wherein, The regulation module determines an adjustment coefficient to adjust the irrigation strategy of the sprinkler head according to the image size change rate of the water droplets under the condition that the accuracy is not up to standard. 5.The intelligent landscaping irrigation system of claim 1, wherein, ​ 6.The intelligent landscaping irrigation system of claim 5, wherein, ​ 7.The intelligent landscaping irrigation system of claim 5, wherein, ​ 8.The intelligent landscaping irrigation system of claim 7, wherein, ​ 9.The intelligent landscaping irrigation system of claim 8, wherein, ​ 10.The intelligent landscaping irrigation system of claim 9, wherein, ​

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