A drip irrigation water pressure control method and system based on water flow drive

Abstract

The present invention relates to the field of intelligent control technology, and particularly relates to a drip irrigation water pressure control method and system based on water flow drive. The method includes: obtaining the water pressure data sequence of the drip irrigation group in the drip irrigation process of the drip irrigation system; determining the theoretical water pressure and theoretical water flow data of each dripper according to the theoretical water volume requirement of the crops, and determining the actual water pressure of each dripper according to the water pressure data sequence; using the water pressure data sequence, the actual water pressure and the theoretical water pressure to determine the necessity of water pressure regulation of the drip irrigation system; determining the clogging possibility of the branch pipeline of the drip irrigation group according to the actual water flow data and the theoretical water flow data of each dripper on the branch pipeline of the drip irrigation group; using the clogging possibility of the branch pipeline of the drip irrigation group and the necessity of water pressure regulation to determine the final necessity of water pressure regulation of the drip irrigation system; and controlling the drip irrigation water pressure of the drip irrigation system based on the final necessity of water pressure regulation. Thus, the present invention improves the accuracy of water pressure control of the drip irrigation system.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control, and particularly relates to a drip irrigation water pressure control method and system based on water flow drive. Background Art

[0002] A drip irrigation system is an irrigation method that directly delivers water to the roots of crops through a pipeline system. This method is more water-saving than traditional ground spraying, and helps to maintain the soil structure and reduce water evaporation. Among them, the water pressure of the irrigation system reflects the water flow capacity of the irrigation system during the irrigation process, which is directly related to the irrigation uniformity and irrigation efficiency.

[0003] Currently, the difference between the theoretical water pressure and the actual water pressure during irrigation is used to determine whether there are problems such as blockage in the drip irrigation system, so as to control the water pressure of the drip irrigation system to solve the blockage problem, and then improve the working efficiency of the drip irrigation system. However, in the actual drip irrigation process, whether there is blockage in the drip irrigation system or not, the difference between the actual water pressure and the theoretical water pressure is a normal phenomenon. Therefore, if the water pressure of the drip irrigation system is controlled only by relying on the difference between the theoretical water pressure and the actual water pressure, it will lead to the problem of low accuracy of the drip irrigation system water pressure control. Summary of the Invention

[0004] In order to solve the technical problem of low accuracy of drip irrigation system water pressure control, the purpose of the present invention is to provide a drip irrigation water pressure control method and system based on water flow drive, and the specific technical solutions adopted are as follows:

[0005] An embodiment of the present invention provides a drip irrigation water pressure control method based on water flow drive, including: obtaining a water pressure data sequence of a drip irrigation group in the drip irrigation system during the drip irrigation process, where a drip irrigation group is used to drip irrigate the same type of crops, the drip irrigation group includes at least one branch pipeline, and the branch pipeline includes at least one drip head; determining the theoretical water pressure and theoretical water flow data of each drip head of the drip irrigation group according to the theoretical water volume requirement of the crops, and determining the actual water pressure of each drip head of the drip irrigation group according to the water pressure data sequence; using the water pressure data sequence, the actual water pressure and the theoretical water pressure to determine the necessity of water pressure adjustment of the drip irrigation system; determining the blockage possibility of each branch pipeline of the drip irrigation group according to the actual water flow data and the theoretical water flow data of each drip head on each branch pipeline of the drip irrigation group; using the blockage possibility of each branch pipeline of the drip irrigation group and the necessity of water pressure adjustment to determine the final necessity of water pressure adjustment of the drip irrigation system; controlling the drip irrigation water pressure of the drip irrigation system based on the final necessity of water pressure adjustment.

[0006] Optionally, determining the necessity of water pressure regulation for the drip irrigation system by using the water pressure data sequence, actual water pressure, and theoretical water pressure includes: calculating the absolute value of the difference between the theoretical water pressure and the actual water pressure of each drip emitter in the drip irrigation group of the drip irrigation system to obtain the first water pressure difference value of each drip emitter; superimposing the first water pressure difference values of each drip emitter to obtain the superimposed water pressure difference value; calculating the second water pressure difference value between two adjacent actual water pressures in the water pressure data sequence, and obtaining the change trend characteristic of the water pressure data sequence; determining the necessity of water pressure regulation for the drip irrigation system according to the first water pressure difference value, the superimposed water pressure difference value, the second water pressure difference value, and the change trend characteristic.

[0007] Optionally, determining the clogging possibility of each branch pipeline of the drip irrigation group according to the actual water flow data and theoretical water flow data of each drip emitter on each branch pipeline of the drip irrigation group includes: performing anomaly detection on the actual water flow data of each drip emitter on each branch pipeline of the drip irrigation group to obtain a normal data set and an abnormal data set, where the actual water flow data in the normal data set is within the normal range, and the actual water flow data in the abnormal data set exceeds the normal range; determining the initial clogging possibility of each branch pipeline according to the first quantity of drip emitters corresponding to the actual water flow data in the normal data set, the second quantity of drip emitters corresponding to the actual water flow data in the abnormal data set, and the total quantity of drip emitters in the branch pipeline; determining the first average actual water flow data of the normal data set according to the actual water flow data of each drip emitter in the normal data set, and determining the average theoretical water flow data of the normal data set according to the theoretical water flow data of each drip emitter in the normal data set; determining the second average actual water flow data of the abnormal data set according to the actual water flow data of each drip emitter in the abnormal data set; performing linear fitting on the actual water flow data in the abnormal data set based on the least squares method to obtain the water flow change trend of the abnormal data set; determining the clogging possibility of each branch pipeline of the drip irrigation group according to the initial clogging possibility of each branch pipeline, the first average actual water flow data, the average theoretical water flow data, the second average actual water flow data, and the water flow change trend.

[0008] Optionally, determining the initial clogging possibility of each branch pipeline according to the first quantity of emitters corresponding to the actual water flow data in the normal data set, the second quantity of emitters corresponding to the actual water flow data in the abnormal data set, and the total quantity of emitters in the branch pipeline includes: respectively numbering the emitters corresponding to the actual water flow data in the normal data set and the abnormal data set along the water flow direction on the branch pipeline to obtain the numbers of each emitter in the normal data set and the numbers of each emitter in the abnormal data set; selecting the first quantity of consecutive emitter numbers from the normal data set and the second quantity of consecutive emitter numbers from the abnormal data set, where the first quantity is the maximum value of the consecutive quantities of emitter numbers in the normal data set and the second quantity is the maximum value of the consecutive quantities of emitter numbers in the abnormal data set; determining the initial clogging possibility of each branch pipeline according to the first quantity, the second quantity, and the total quantity.

[0009] Optionally, determining the initial clogging possibility of each branch pipeline according to the first quantity, the second quantity, and the total quantity includes: determining that the ratio of the sum of the first quantity and the second quantity to the total quantity is the initial clogging possibility of the branch pipeline.

[0010] Optionally, determining the clogging possibility of each branch pipeline of the drip irrigation group according to the initial clogging possibility of each branch pipeline, the first average actual water flow data, the average theoretical water flow data, the second average actual water flow data, and the water flow change trend includes: calculating the product of the absolute value of the difference between the first average actual water flow data and the average theoretical water flow data and the absolute value of the water flow change trend to obtain the clogging significance level of the branch pipeline; calculating the product of the absolute value of the difference between the first average actual water flow data and the second average actual water flow data and the clogging significance level to obtain the corrected clogging significance level of the branch pipeline after correction; normalizing the product of the initial clogging possibility and the corrected clogging significance level to obtain the clogging possibility of the branch pipeline.

[0011] Optionally, determining the final water pressure regulation necessity of the drip irrigation system by using the clogging possibility of each branch pipeline of the drip irrigation group and the water pressure regulation necessity includes: adding up the clogging possibilities of each branch pipeline of the drip irrigation group of the drip irrigation system to obtain the superimposed clogging possibility; determining that the product of the superimposed clogging possibility and the superimposed clogging possibility is the final water pressure regulation necessity of the drip irrigation system.

[0012] Optionally, controlling the drip irrigation water pressure of the drip irrigation system based on the final water pressure regulation necessity includes: when the final water pressure regulation necessity is greater than the threshold, sending a water pressure regulation instruction to the drip irrigation system, and controlling the drip irrigation water pressure of the drip irrigation system through the water pressure regulation instruction.

[0013] Second aspect, embodiments of the present invention provide a drip irrigation water pressure control system driven by water flow, including: an acquisition module for acquiring the water pressure data sequence during the drip irrigation process of the drip irrigation group of the drip irrigation system. A drip irrigation group is used for drip-irrigating the same type of crops. The drip irrigation group includes at least one branch pipeline, and the branch pipeline includes at least one drip head; a determination module for determining the theoretical water pressure and theoretical water flow data of each drip head of the drip irrigation group according to the theoretical water volume requirement of the crops, and determining the actual water pressure of each drip head of the drip irrigation group according to the water pressure data sequence; the determination module is further used to determine the necessity of water pressure regulation of the drip irrigation system by using the water pressure data sequence, the actual water pressure and the theoretical water pressure; the determination module is used to determine the clogging possibility of each branch pipeline of the drip irrigation group according to the actual water flow data and the theoretical water flow data of each drip head on each branch pipeline of the drip irrigation group; the determination module is used to determine the final water pressure regulation necessity of the drip irrigation system by using the clogging possibility of each branch pipeline of the drip irrigation group and the water pressure regulation necessity; a control module for controlling the drip irrigation water pressure of the drip irrigation system based on the final water pressure regulation necessity.

[0014] Third aspect, embodiments of the present invention provide a drip irrigation water pressure control system driven by water flow, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the drip irrigation water pressure control method mentioned in the first aspect.

[0015] The present invention has the following beneficial effects: First, acquire the water pressure data sequence during the drip irrigation process of the drip irrigation group of the drip irrigation system. A drip irrigation group is used for drip-irrigating the same type of crops. The drip irrigation group includes at least one branch pipeline, and the branch pipeline includes at least one drip head; then determine the theoretical water pressure and theoretical water flow data of each drip head of the drip irrigation group according to the theoretical water volume requirement of the crops, and determine the actual water pressure of each drip head of the drip irrigation group according to the water pressure data sequence; then use the water pressure data sequence, the actual water pressure and the theoretical water pressure to determine the necessity of water pressure regulation of the drip irrigation system; and determine the clogging possibility of each branch pipeline of the drip irrigation group according to the actual water flow data and the theoretical water flow data of each drip head on each branch pipeline of the drip irrigation group; secondly, use the clogging possibility of each branch pipeline of the drip irrigation group and the water pressure regulation necessity to determine the final water pressure regulation necessity of the drip irrigation system; finally, control the drip irrigation water pressure of the drip irrigation system based on the final water pressure regulation necessity.

[0016] Thus, the present invention obtains the necessity of adjusting the water pressure of the drip irrigation system by means of the water pressure data sequence of each drip head, the actual water pressure and the theoretical water pressure in the drip irrigation system; combines the clogging possibility of each branch pipeline of the drip irrigation group to correct the necessity of adjusting the water pressure of the drip irrigation system, thereby obtaining the final necessity of adjusting the water pressure of the drip irrigation system. Based on this final necessity of adjusting the water pressure, the drip irrigation water pressure of the drip irrigation system is controlled, rather than simply relying on the difference between the theoretical water pressure and the actual water pressure to control the water pressure of the drip irrigation system, improving the accuracy of controlling the water pressure of the drip irrigation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 The flowchart of a drip irrigation water pressure control method based on water flow driving provided by an embodiment of the present invention;

[0019] Figure 2 The structural schematic diagram of a drip irrigation water pressure control system based on water flow driving provided by an embodiment of the present invention;

[0020] Figure 3 The structural schematic diagram of another drip irrigation water pressure control system based on water flow driving provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following will, in combination with the drawings and preferred embodiments, describe in detail the specific implementation manners, structures, features and effects of a drip irrigation water pressure control method and system based on water flow driving proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0023] The following will specifically describe the specific solutions of a drip irrigation water pressure control method and system based on water flow driving provided by the present invention in combination with the drawings.

[0024] Embodiment 1:

[0025] Please refer to Figure 1 , which shows a flowchart of a drip irrigation water pressure control method based on water flow drive provided by an embodiment of the present invention, including:

[0026] Step S101, obtaining a water pressure data sequence of a drip irrigation group in the drip irrigation process of a drip irrigation system.

[0027] Wherein, a drip irrigation group is used for drip irrigation of the same type of crops, and the drip irrigation group includes at least one branch pipeline, and the branch pipeline includes at least one drip head.

[0028] Specifically, in the drip irrigation system, since there are certain differences in the water volume requirements of crops at different growth stages, in order to facilitate the control of the water volume for drip irrigation of crops, usually the same type of crops are divided into the same drip irrigation area, and the drip irrigation area is drip-irrigated by the same drip irrigation group. During the drip irrigation process of the drip irrigation group of the drip irrigation system, the water pressure provided by the drip irrigation system for the drip irrigation group is monitored in real time, so as to obtain a water pressure data sequence, and the water pressure data sequence includes the water pressure data of the drip heads of the drip irrigation group changing with time.

[0029] Furthermore, during the drip irrigation process of the drip irrigation group of the drip irrigation system, the actual water flow rate of each drip head of the drip irrigation group can also be monitored in real time, so as to obtain an actual water flow rate data sequence of each drip head.

[0030] Step S102, determining the theoretical water pressure and theoretical water flow rate data of each drip head of the drip irrigation group according to the theoretical water volume requirement of the crops, and determining the actual water pressure of each drip head of the drip irrigation group according to the water pressure data sequence.

[0031] Specifically, during the drip irrigation process of the drip irrigation group of the drip irrigation system, different crops have different water volume requirements, so each type of crop has a theoretical water volume requirement. In order to meet the theoretical water volume requirements of each type of crop, first establish the curve relationship between the water pressure and water flow rate of the drip irrigation system, and then substitute the theoretical water volume requirement of this type of crop into this curve relationship to obtain the theoretical water pressure and theoretical water flow rate of the drip irrigation system. The theoretical water pressure and theoretical water flow rate of the drip irrigation system are the theoretical water pressure and theoretical water flow rate data of each drip head of the drip irrigation group.

[0032] Furthermore, the water pressure data sequence is the real-time monitored water pressure data provided by the drip irrigation system for the drip irrigation group in real time. Therefore, the water pressure corresponding to each time point in the water pressure data sequence is the actual water pressure of the drip heads of the drip irrigation group.

[0033] Step S103, determining the necessity of water pressure regulation of the drip irrigation system by using the water pressure data sequence, the actual water pressure and the theoretical water pressure.

[0034] Specifically, the necessity of water pressure regulation refers to the necessary degree of regulating the water pressure of the drip irrigation group. The higher the necessity of water pressure regulation, the higher the authenticity of regulating the water pressure of the drip irrigation system, that is, the difference between the actual water pressure and the theoretical water pressure of the drip irrigation system is caused by the blockage of the drip irrigation system.

[0035] Furthermore, during the drip irrigation process of the drip irrigation system, fertilizers are usually added to the water, resulting in the problem of incomplete dissolution of fertilizers. In this way, certain precipitation will occur, leading to a certain blockage in the main pipeline or branch pipelines of the drip irrigation system. When there is a blockage in the drip irrigation system, there will be a certain difference between the actual water pressure and the theoretical water pressure of the drip irrigation system, and this difference is caused by the blockage of the drip irrigation system, not a normal difference. Therefore, it is necessary to adjust the water pressure of the drip irrigation system to a certain extent to solve the blockage problem. Since the radius of the main pipeline of the drip irrigation system is relatively large, while the branch pipelines of the drip irrigation group are relatively small, blockages are more likely to occur in the branch pipelines. The blockage of the branch pipelines will cause uneven water flow distribution in the main pipeline upstream of the drip irrigation system, and further lead to anomalies in the real-time monitored water pressure data sequence. Therefore, if the water pressure data sequence is relatively stable and the difference between the theoretical water pressure and the actual water pressure is small, it indicates that the difference between the theoretical water pressure and the actual water pressure of the drip irrigation system is normal and there is no need to adjust the water pressure of the drip irrigation system. If the stability of the water pressure data sequence is poor and the difference between the theoretical water pressure and the actual water pressure is large, it indicates that the difference between the theoretical water pressure and the actual water pressure of the drip irrigation system is abnormal, and there may be a blockage in the drip irrigation system, and it is necessary to adjust the water pressure of the drip irrigation system to solve the blockage problem. Therefore, based on the water pressure data sequence, the actual water pressure, and the theoretical water pressure, the necessity of water pressure regulation of the drip irrigation system can be determined, and then the water pressure of the drip irrigation system can be adjusted based on this necessity of water pressure regulation.

[0036] Furthermore, when determining the necessity of water pressure regulation, as an optional embodiment of the present invention, first calculate the absolute value of the difference between the theoretical water pressure and the actual water pressure of each drip head in the drip irrigation group of the drip irrigation system to obtain the first water pressure difference value of each drip head; then superimpose the first water pressure difference values of each drip head to obtain the superimposed water pressure difference value; then calculate the second water pressure difference value between two adjacent actual water pressures in the water pressure data sequence, and obtain the change trend characteristic of the water pressure data sequence; finally, determine the necessity of water pressure regulation of the drip irrigation system according to the first water pressure difference value, the superimposed water pressure difference value, the second water pressure difference value, and the change trend characteristic.

[0037] Specifically, the first water pressure difference value represents the difference between the theoretical water pressure and the actual water pressure. The larger the first water pressure difference value, the greater the difference between the theoretical water pressure and the actual water pressure. In the embodiments of the present invention, the theoretical water pressure is denoted as p0, the actual water pressure is denoted as p, and the first water pressure difference value can be calculated by the following formula:

[0038] A = |p0 - p|

[0039] In the above formula, A is the first water pressure difference value, p0 is the theoretical water pressure, p is the actual water pressure, and || represents the absolute value.

[0040] Furthermore, the second water pressure difference value between two adjacent actual water pressures reflects the fluctuation characteristics of the water pressure. If the second water pressure difference value is larger, it indicates that the degree of water pressure fluctuation is greater. If the second water pressure difference value is smaller, it indicates that the degree of water pressure stability is greater. The change trend characteristic of the water pressure data sequence can be obtained based on the principal component analysis method. First, use the principal component analysis method to obtain the maximum principal component direction of the water pressure data sequence, and then represent the principal component direction by a straight line in the coordinate system. The slope of this straight line is the change trend characteristic of the water pressure data sequence. The larger the slope, the more significant the change trend of the water pressure data sequence, the higher the degree of blockage in the drip irrigation system, and the greater the necessity of adjusting the water pressure of the drip irrigation system.

[0041] Furthermore, the necessity of water pressure adjustment for the drip irrigation system can be specifically calculated using the following formula:

[0042]

[0043] In the above formula, s represents the necessity of water pressure adjustment for the drip irrigation system, A i represents the first water pressure difference value between the i-th actual water pressure and the theoretical water pressure in the water pressure data sequence, reflecting the deviation degree of the i-th actual water pressure relative to the theoretical water pressure. represents the cumulative sum of all first water pressure difference values (superimposed water pressure difference values) in the water pressure data sequence. N represents the number of data points in the water pressure data sequence. |Δp i | represents the second water pressure difference value between two adjacent actual water pressures in the time series of the water pressure data sequence, reflecting the fluctuation degree of the water pressure data. The smaller this value, the higher the stability of the water pressure within the time of this adjacent record. represents the overall stability of the water pressure data sequence. The smaller this value, the stronger the stability of the water pressure in the time series of the water pressure data sequence. On the contrary, the larger this value, the worse the stability of the water pressure in the time series of the water pressure data sequence, the greater the possibility of water pressure abnormality, and thus the greater the necessity of adjusting the water pressure of the drip irrigation system. φ represents the change trend characteristic of the water pressure data sequence. The larger the value of φ, the more significant the change trend of the water pressure data sequence, the higher the degree of blockage in the drip irrigation system, and the greater the necessity of adjusting the water pressure of the drip irrigation system. Therefore, the larger the value of s, the greater the necessity of adjusting the water pressure of the drip irrigation system.

[0044] Step S104: Determine the blockage possibility of each branch pipeline of the drip irrigation group according to the actual water flow data and the theoretical water flow data of each drip head on each branch pipeline of the drip irrigation group.

[0045] Specifically, when the branch pipeline of the drip irrigation system is blocked, the water flow rate of the drippers in the drip irrigation group of the drip irrigation system will be abnormal. Among them, in the same branch pipeline, there will be a large difference in the water flow rate of the drippers before the blockage position in the branch pipeline and the water flow rate of the drippers after the blockage position. This is because the water flow before the blockage position cannot flow in time, resulting in a significantly larger water flow rate of the drippers before the blockage position, while the water flow after the blockage position cannot be replenished in time, resulting in a significantly smaller water flow rate of the drippers after the blockage position. And along the direction of water flow, due to the continuous decrease in the pressure provided by the water flow, the water flow rate of each dripper after the blockage position shows a decreasing trend along the water flow direction, resulting in an increasing difference between the actual water flow rate and the theoretical water flow rate of the drippers. When the branch pipeline of the drip irrigation system is not blocked, the water flow rate of each dripper is stable and uniform. Therefore, the necessity of water pressure regulation in the above embodiments can be corrected based on the blockage possibility of the branch pipeline of the drip irrigation system, thereby further improving the authenticity of regulating the water pressure of the drip irrigation system.

[0046] Furthermore, the initial blockage possibility of the branch pipeline can be determined through the differences between the actual water flow rate data of the drippers in each branch pipeline, and then the initial blockage possibility can be corrected by using the actual water flow rate data and the theoretical water flow rate data of the drippers, so as to obtain the blockage possibility of each branch pipeline.

[0047] Further, when determining the clogging possibility of each branch pipeline of the drip irrigation group, as an optional embodiment of the present invention, first, anomaly detection is performed on the actual water flow rate data of each drip head on each branch pipeline of the drip irrigation group to obtain a normal data set and an abnormal data set. The actual water flow rate data in the normal data set is within the normal range, and the actual water flow rate data in the abnormal data set exceeds the normal range. Then, according to the first quantity of the drip heads corresponding to the actual water flow rate data in the normal data set, the second quantity of the drip heads corresponding to the actual water flow rate data in the abnormal data set, and the total quantity of the drip heads in the branch pipeline, the initial clogging possibility of each branch pipeline is determined. And according to the actual water flow rate data of each drip head in the normal data set, the first average actual water flow rate data of the normal data set is determined. According to the theoretical water flow rate data of each drip head in the normal data set, the average theoretical water flow rate data of the normal data set is determined. Then, according to the actual water flow rate data of each drip head in the abnormal data set, the second average actual water flow rate data of the abnormal data set is determined. Secondly, linear fitting is performed on the actual water flow rate data in the abnormal data set based on the least squares method to obtain the water flow change trend of the abnormal data set. Finally, according to the initial clogging possibility of each branch pipeline, the first average actual water flow rate data, the average theoretical water flow rate data, the second average actual water flow rate data, and the water flow change trend, the clogging possibility of each branch pipeline of the drip irrigation group is determined.

[0048] Specifically, the drip irrigation system includes at least one drip irrigation group, a main pipeline, and branch pipelines. Each branch pipeline includes at least one drip head. Therefore, for each branch pipeline, first, the actual water flow rate data of all the drip heads on the branch pipeline is obtained. Then, anomaly detection is performed on the actual water flow rate data of all the drip heads by using a one-class classification algorithm. The one-class classification algorithm can be a one-class support vector machine algorithm (OCSVM), so as to obtain a normal data set M1 and an abnormal data set M2. The actual water flow rate data in the normal data set is within the normal range and is relatively consistent. The actual water flow rate data in the abnormal data set exceeds the normal range and is relatively divergent. After obtaining the normal data set M1 and the abnormal data set M2, the first quantity of all the drip heads in the normal data set M1, the second quantity of all the drip heads in the abnormal data set M2, and the total quantity of the drip heads in the branch pipeline are counted. The ratio of the sum value of the first quantity and the second quantity to the total quantity is used as the initial clogging possibility. Or the drip heads in the normal data set M1 and the abnormal data set M2 are numbered in the direction of the water flow on the branch pipeline. The smaller the number of the drip head is, the earlier it is. Calculate the continuous quantity of the numbers in the normal data set M1 and the abnormal data set M2. The maximum continuous quantity of the numbers in the two sets is respectively selected as the first quantity of the normal data set M1 and the second quantity of the abnormal data set M2.

[0049] Furthermore, the initial clogging possibility reflects the possibility of clogging in the branch pipeline. The greater the initial clogging possibility, the greater the possibility of clogging in the branch pipeline.

[0050] Furthermore, the first average actual water flow rate data can be obtained by averaging the actual water flow rate data of each drip emitter in the normal data set, and the second average actual water flow rate data can be obtained by averaging the actual water flow rate data of each drip emitter in the abnormal data set.

[0051] Furthermore, taking the numbers of the drip emitters in the obtained abnormal data set as explanatory variables and the actual water flow rate data of the drip emitters in the abnormal data set as explained variables, perform linear fitting on the actual water flow rate data in the abnormal data set based on the least squares method to obtain the water flow change trend of the abnormal data set.

[0052] Furthermore, when determining the initial clogging possibility of each branch pipeline, as an optional embodiment of the present invention, first, number the drip emitters corresponding to the actual water flow rate data in the normal data set and the abnormal data set in the direction of water flow along the branch pipeline, respectively, to obtain the numbers of each drip emitter in the normal data set and the numbers of each drip emitter in the abnormal data set. Then, select a first quantity of consecutive drip emitter numbers from the normal data set and a second quantity of consecutive drip emitter numbers from the abnormal data set. The first quantity is the maximum value of the consecutive quantities of drip emitter numbers in the normal data set, and the second quantity is the maximum value of the consecutive quantities of drip emitter numbers in the abnormal data set. Finally, determine the initial clogging possibility of each branch pipeline according to the first quantity, the second quantity, and the total quantity.

[0053] Specifically, when determining the initial clogging possibility, it can be determined that the ratio of the sum value of the first quantity and the second quantity to the total quantity is the initial clogging possibility of the branch pipeline. Specifically, the initial clogging possibility of the branch pipeline can be expressed by the following formula:

[0054]

[0055] In the above formula, L represents the initial clogging possibility of the branch pipeline, L(M1) represents the maximum value of the consecutive quantities of drip emitter numbers in the normal data set M1, l(M2) represents the maximum value of the consecutive quantities of drip emitter numbers in the abnormal data set M2, l(M1)+l(M2) represents the continuity of the drip emitters on this branch pipeline, M represents the total number of drip emitters on this branch pipeline, and L reflects the possibility of clogging in this branch pipeline. If the sum of the maximum values of the consecutive quantities of drip emitter numbers with continuity in the obtained normal data set M1 and abnormal data set M2 is very close to the total number of drip emitters on this branch pipeline, The closer the value is to 1, the higher the accuracy of the classified normal data set M1 and abnormal data set M2, and thus the greater the possibility that there is a blockage in the pipeline of this branch.

[0056] Further, when determining the blockage possibility of each branch pipeline of the drip irrigation group, as an optional embodiment of the present invention, first calculate the product of the absolute value of the difference between the first average actual water flow rate data and the average theoretical water flow rate data and the absolute value of the water flow change trend to obtain the blockage significance degree of the branch pipeline; then calculate the product of the absolute value of the difference between the first average actual water flow rate data and the second average actual water flow rate data and the blockage significance degree to obtain the corrected blockage significance degree of the branch pipeline; finally, normalize the product of the initial blockage possibility and the corrected blockage significance degree to obtain the blockage possibility of the branch pipeline.

[0057] Specifically, the blockage significance degree of the branch pipeline reflects the significance degree of blockage in the branch pipeline, which can be calculated by the following formula:

[0058]

[0059] In the above formula, x represents the blockage significance degree of the branch pipeline, E(M1) represents the first average actual water flow rate data of the normal data set M1, represents the average theoretical water flow rate data of the normal data set M1, and k represents the water flow change trend of the abnormal data set M2. The larger the value of x, the greater the significance degree of blockage in the branch pipeline.

[0060] Further, the corrected blockage significance degree of the branch pipeline can be calculated by the following formula:

[0061] x′ = x × |E(M1) - E(M2)|

[0062] In the above formula, x represents the blockage significance degree of the branch pipeline, E(M1) represents the first average actual water flow rate data of the normal data set M1, and E(M2) represents the second average actual water flow rate data of the abnormal data set M2. |E(M1) - E(M2)| represents the difference in water flow rate data between the normal data set M1 and the abnormal data set M2. The larger this value, the greater the difference between the normal data set M1 and the abnormal data set M2, and the larger x′. The larger x′, the greater the significance degree of blockage in the branch pipeline.

[0063] Further, the blockage possibility of the branch pipeline can be expressed by the following formula:

[0064] W = sigmoid(L × x′)

[0065] In the above formula, W represents the clogging possibility of the branch pipeline, L represents the initial clogging possibility of the branch pipeline, x' represents the corrected clogging significance of the branch pipeline after correction, and sigmoid() represents a normalization function, which is used to normalize the product of the initial clogging possibility and the corrected clogging significance. If the initial clogging possibility of the branch pipeline is high and the significance of clogging is high, the value of W is also larger, indicating that the possibility of the branch pipeline being clogged is greater.

[0066] Step S105: Determine the final water pressure adjustment necessity of the drip irrigation system by using the clogging possibility and the water pressure adjustment necessity of each branch pipeline of the drip irrigation group.

[0067] Specifically, the clogging possibilities of each branch pipeline of the drip irrigation group of the drip irrigation system can be superimposed to obtain a superimposed clogging possibility; it is determined that the product of the superimposed clogging possibility and the superimposed clogging possibility is the final water pressure adjustment necessity of the drip irrigation system. Among them, the final water pressure adjustment necessity of the drip irrigation system can be expressed by the following formula:

[0068]

[0069] In the above formula, S represents the final water pressure adjustment necessity of the drip irrigation system, W i represents the clogging possibility of the i-th branch pipeline; s represents the water pressure adjustment necessity of the drip irrigation system, and K is the number of branch pipelines. If there is an obvious clogging possibility in all branch pipelines under the drip irrigation group, and the greater the water pressure adjustment necessity, it indicates that the abnormality of the water pressure in the current drip irrigation system is caused by clogging, the value of S is larger, and the necessity of adjusting the water pressure in the drip irrigation system is greater.

[0070] Step S106: Control the drip irrigation water pressure of the drip irrigation system based on the final water pressure adjustment necessity.

[0071] Specifically, after obtaining the final water pressure adjustment necessity, when the final water pressure adjustment necessity is greater than the threshold, a water pressure adjustment instruction is sent to the drip irrigation system, and the drip irrigation water pressure of the drip irrigation system is controlled through the water pressure adjustment instruction. When the final water pressure adjustment necessity is not greater than the threshold, it indicates that the difference between the actual water pressure and the theoretical water pressure in the drip irrigation system is a normal situation and is not caused by the clogging situation in the drip irrigation system, then the current drip irrigation water pressure of the drip irrigation system is maintained for drip irrigation without adjusting its water pressure. Among them, controlling the drip irrigation water pressure of the drip irrigation system through the water pressure adjustment instruction can be controlled based on the degree of clogging occurring in the drip irrigation system, or the water pressure can be customized by the staff to control the drip irrigation water pressure of the drip irrigation system, and the embodiments of the present invention do not make limitations here.

[0072] Further, it is also possible to record whether the clogging condition of each branch pipeline in the drip irrigation system has improved during the adjustment of the drip irrigation water pressure. If it has improved, the drip irrigation system is maintained to perform drip irrigation at the current water pressure; if there is no obvious improvement, the drip irrigation equipment is shut down in time and relevant personnel are notified for maintenance, thereby improving the reliability of the drip irrigation system.

[0073] In the embodiment of the present invention, the necessity of water pressure adjustment of the drip irrigation system is obtained by the water pressure data sequence, the actual water pressure and the theoretical water pressure of each dripper in the drip irrigation system; the necessity of water pressure adjustment of the drip irrigation system is corrected by combining the clogging possibility of each branch pipeline of the drip irrigation group, thereby obtaining the final necessity of water pressure adjustment of the drip irrigation system. Based on the final necessity of water pressure adjustment, the drip irrigation water pressure of the drip irrigation system is controlled, rather than simply relying on the difference between the theoretical water pressure and the actual water pressure to control the water pressure of the drip irrigation system, which improves the accuracy of water pressure control of the drip irrigation system.

[0074] Embodiment 2:

[0075] Corresponding to the drip irrigation water pressure control method based on water flow drive provided in the above embodiment, based on the same technical concept, as Figure 2 shown, the embodiment of the present invention also provides a drip irrigation water pressure control system 200 based on water flow drive, including: an acquisition module 201, configured to acquire the water pressure data sequence of the drip irrigation group in the drip irrigation system. A drip irrigation group is used for drip irrigation of the same type of crops. The drip irrigation group includes at least one branch pipeline, and the branch pipeline includes at least one dripper; a determination module 202, configured to determine the theoretical water pressure and theoretical water flow data of each dripper of the drip irrigation group according to the theoretical water volume requirement of the crops, and determine the actual water pressure of each dripper of the drip irrigation group according to the water pressure data sequence; the determination module 202 is further configured to use the water pressure data sequence, the actual water pressure and the theoretical water pressure to determine the necessity of water pressure adjustment of the drip irrigation system; the determination module 202 is further configured to determine the clogging possibility of each branch pipeline of the drip irrigation group according to the actual water flow data and the theoretical water flow data of each dripper on each branch pipeline of the drip irrigation group; the determination module 202 is further configured to use the clogging possibility of each branch pipeline of the drip irrigation group and the necessity of water pressure adjustment to determine the final necessity of water pressure adjustment of the drip irrigation system; a control module 203, configured to control the drip irrigation water pressure of the drip irrigation system based on the final necessity of water pressure adjustment.

[0076] In the embodiment of the present invention, the necessity of water pressure regulation for the drip irrigation system is obtained by means of the water pressure data sequence, the actual water pressure and the theoretical water pressure of each dripper in the drip irrigation system; the necessity of water pressure regulation for the drip irrigation system is corrected by combining the clogging possibility of each branch pipeline in the drip irrigation group, so as to obtain the final necessity of water pressure regulation for the drip irrigation system. Based on the final necessity of water pressure regulation, the drip irrigation water pressure of the drip irrigation system is controlled, rather than simply relying on the difference between the theoretical water pressure and the actual water pressure to control the water pressure of the drip irrigation system, thus improving the accuracy of water pressure control of the drip irrigation system.

[0077] Optionally, the determining module 202 is further configured to calculate the absolute value of the difference between the theoretical water pressure and the actual water pressure of each dripper in the drip irrigation group of the drip irrigation system, so as to obtain the first water pressure difference value of each dripper; superimpose the first water pressure difference values of each dripper to obtain a superimposed water pressure difference value; calculate the second water pressure difference value between two adjacent actual water pressures in the water pressure data sequence, and obtain the change trend characteristic of the water pressure data sequence; determine the necessity of water pressure regulation for the drip irrigation system according to the first water pressure difference value, the superimposed water pressure difference value, the second water pressure difference value and the change trend characteristic.

[0078] Optionally, the determining module 202 is further configured to perform anomaly detection on the actual water flow data of each dripper on each branch pipeline in the drip irrigation group, so as to obtain a normal data set and an abnormal data set, where the actual water flow data in the normal data set is within the normal range, and the actual water flow data in the abnormal data set exceeds the normal range; determine the initial clogging possibility of each branch pipeline according to the first quantity of drippers corresponding to the actual water flow data in the normal data set, the second quantity of drippers corresponding to the actual water flow data in the abnormal data set, and the total quantity of drippers in the branch pipeline; determine the first average actual water flow data of the normal data set according to the actual water flow data of each dripper in the normal data set, and determine the average theoretical water flow data of the normal data set according to the theoretical water flow data of each dripper in the normal data set; determine the second average actual water flow data of the abnormal data set according to the actual water flow data of each dripper in the abnormal data set; perform linear fitting on the actual water flow data in the abnormal data set based on the least squares method to obtain the water flow change trend of the abnormal data set; determine the clogging possibility of each branch pipeline in the drip irrigation group according to the initial clogging possibility of each branch pipeline, the first average actual water flow data, the average theoretical water flow data, the second average actual water flow data and the water flow change trend.

[0079] Optionally, the determination module 202 is further configured to number the emitters corresponding to the actual water flow data in the normal data set and the abnormal data set respectively in the water flow direction along the branch pipeline, so as to obtain the numbers of each emitter in the normal data set and the numbers of each emitter in the abnormal data set; select a first quantity of consecutive emitter numbers from the normal data set, and select a second quantity of consecutive emitter numbers from the abnormal data set, where the first quantity is the maximum value of the consecutive quantities of emitter numbers in the normal data set, and the second quantity is the maximum value of the consecutive quantities of emitter numbers in the abnormal data set; determine the initial blockage possibility of each branch pipeline according to the first quantity, the second quantity and the total quantity.

[0080] Optionally, the determination module 202 is further configured to determine that the ratio of the sum value of the first quantity and the second quantity to the total quantity is the initial blockage possibility of the branch pipeline.

[0081] Optionally, the determination module 202 is further configured to calculate the product of the absolute value of the difference between the first average actual water flow data and the average theoretical water flow data and the absolute value of the water flow change trend to obtain the blockage significance degree of the branch pipeline; calculate the product of the absolute value of the difference between the first average actual water flow data and the second average actual water flow data and the blockage significance degree to obtain the corrected blockage significance degree of the branch pipeline after correction; normalize the product of the initial blockage possibility and the corrected blockage significance degree to obtain the blockage possibility of the branch pipeline.

[0082] Optionally, the determination module 202 is further configured to superimpose the blockage possibilities of each branch pipeline of the drip irrigation group of the drip irrigation system to obtain a superimposed blockage possibility; determine that the product of the superimposed blockage possibility and the superimposed blockage possibility is the final water pressure regulation necessity of the drip irrigation system.

[0083] The control module 203 is further configured to send a water pressure regulation instruction to the drip irrigation system when the final water pressure regulation necessity is greater than a threshold value, and control the drip irrigation water pressure of the drip irrigation system through the water pressure regulation instruction.

[0084] Embodiment 3:

[0085] Corresponding to the drip irrigation water pressure control method based on water flow drive provided in the above embodiment, based on the same technical concept, the embodiment of the present invention further provides a drip irrigation water pressure control system based on water flow drive, and this drip irrigation water pressure control system based on water flow drive is used to execute the above drip irrigation water pressure control method based on water flow drive. Figure 3 For showing the structural schematic diagram of another drip irrigation water pressure control system based on water flow drive for each embodiment of the present invention, as Figure 3At the hardware level, the drip irrigation water pressure control system based on water flow drive includes a processor. Optionally, it includes an internal bus, a network interface, and a memory. Among them, the memory may include internal memory, such as high-speed random access memory (RAM), and may also include non-volatile memory, such as at least one disk memory, etc. Of course, the drip irrigation water pressure control system based on water flow drive may also include other hardware required for other services.

[0086] The processor, network interface, and memory can be interconnected through the internal bus. The internal bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity in representation, only a bidirectional arrow is used in this figure, but it does not mean that there is only one bus or one type of bus.

[0087] The memory is used to store programs. Specifically, the program can include program code, and the program code includes computer operation commands. The memory can include internal memory and non-volatile memory, and provide instructions and data to the processor.

[0088] The processor reads the corresponding computer program from the non-volatile memory into the internal memory and then runs it, forming a device for locating a specified user at the logical level. The processor executes the program stored in the memory and is specifically used to execute: Figure 3 The methods disclosed in the illustrated embodiments and implement the functions and beneficial effects of the various methods in the foregoing method embodiments, which will not be elaborated here.

[0089] It should be noted that the drip irrigation water pressure control system based on water flow drive provided in the embodiments of the present invention and the drip irrigation water pressure control method provided in the embodiments of the present invention are based on the same inventive concept. Therefore, the specific implementation of this embodiment can refer to the implementation of the foregoing drip irrigation water pressure control method and has the same or similar beneficial effects, and the repeated parts will not be elaborated.

[0090] It should be noted that the above sequence of the embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be beneficial.

[0091] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other, and the differences between each embodiment and other embodiments are emphasized.

Claims

1. A drip irrigation water pressure control method based on water flow drive, characterized in that, The water pressure control method for drip irrigation based on water flow driving includes: Obtaining the water pressure data sequence during the drip irrigation process of the drip irrigation group of the drip irrigation system. One drip irrigation group is used for drip irrigation of the same type of crops. The drip irrigation group includes at least one branch pipeline, and the branch pipeline includes at least one drip head; Determining the theoretical water pressure and theoretical water flow rate data of each drip head of the drip irrigation group according to the theoretical water demand of the crops, and determining the actual water pressure of each drip head of the drip irrigation group according to the water pressure data sequence; Using the water pressure data sequence, the actual water pressure and the theoretical water pressure to determine the necessity of water pressure regulation for the drip irrigation system; Determining the clogging possibility of each branch pipeline of the drip irrigation group according to the actual water flow rate data and the theoretical water flow rate data of each drip head on each branch pipeline of the drip irrigation group; Using the clogging possibility of each branch pipeline of the drip irrigation group and the necessity of water pressure regulation to determine the final necessity of water pressure regulation for the drip irrigation system; Controlling the drip irrigation water pressure of the drip irrigation system based on the final necessity of water pressure regulation; The method for obtaining the clogging possibility of each branch pipeline of the drip irrigation group includes: Performing anomaly detection on the actual water flow rate data of each drip head on each branch pipeline of the drip irrigation group to obtain a normal data set and an abnormal data set. The actual water flow rate data in the normal data set is within the normal range, and the actual water flow rate data in the abnormal data set exceeds the normal range; Determining the initial clogging possibility of each branch pipeline according to the first number of drip heads corresponding to the actual water flow rate data in the normal data set, the second number of drip heads corresponding to the actual water flow rate data in the abnormal data set, and the total number of drip heads in the branch pipeline; Determining the first average actual water flow rate data of the normal data set according to the actual water flow rate data of each drip head in the normal data set, and determining the average theoretical water flow rate data of the normal data set according to the theoretical water flow rate data of each drip head in the normal data set; determining the second average actual water flow rate data of the abnormal data set according to the actual water flow rate data of each drip head in the abnormal data set; Performing linear fitting on the actual water flow rate data in the abnormal data set based on the least squares method to obtain the water flow change trend of the abnormal data set; Determining the clogging possibility of each branch pipeline of the drip irrigation group according to the initial clogging possibility of each branch pipeline, the first average actual water flow rate data, the average theoretical water flow rate data, the second average actual water flow rate data, and the water flow change trend; 2. The drip irrigation water pressure control method based on water flow drive according to claim 1, characterized in that The determination of the necessity of water pressure regulation for the drip irrigation system by using the water pressure data sequence, the actual water pressure and the theoretical water pressure includes: Calculating the absolute value of the difference between the theoretical water pressure and the actual water pressure of each drip head of the drip irrigation group of the drip irrigation system to obtain the first water pressure difference value of each drip head; Superposing the first water pressure difference values of each drip head to obtain the superposed water pressure difference value; Calculate the second water pressure difference value between two adjacent actual water pressures in the water pressure data sequence, and obtain the change trend characteristic of the water pressure data sequence; Determine the necessity of water pressure adjustment for the drip irrigation system according to the first water pressure difference value, the superimposed water pressure difference value, the second water pressure difference value, and the change trend characteristic. The calculation formula for the necessity of water pressure adjustment for the drip irrigation system is: In the above formula, s represents the necessity of adjusting the water pressure of the drip irrigation system, A i represents the first water pressure difference value between the i-th actual water pressure and the theoretical water pressure in the water pressure data sequence, represents the sum of all the first water pressure difference values in the water pressure data sequence, that is, the superimposed water pressure difference value; N represents the number of data points in the water pressure data sequence, |Δp i | represents the second water pressure difference value between two adjacent actual water pressures in the time series of the water pressure data sequence, and Ф represents the change trend characteristic of the water pressure data sequence.

3. The drip irrigation water pressure control method based on water flow drive according to claim 1, characterized in that The determination of the initial clogging possibility of each branch pipeline according to the first quantity of drip heads corresponding to the actual water flow data in the normal data set, the second quantity of drip heads corresponding to the actual water flow data in the abnormal data set, and the total quantity of drip heads in the branch pipeline includes: Number the drip heads corresponding to the actual water flow data in the normal data set and the abnormal data set respectively in the direction of water flow on the branch pipeline, and obtain the numbers of each drip head in the normal data set and the numbers of each drip head in the abnormal data set; Select the first quantity of consecutive drip head numbers from the normal data set and the second quantity of consecutive drip head numbers from the abnormal data set. The first quantity is the maximum value of the consecutive quantity of drip head numbers in the normal data set, and the second quantity is the maximum value of the consecutive quantity of drip head numbers in the abnormal data set; Determine the initial clogging possibility of each branch pipeline according to the first quantity, the second quantity, and the total quantity.

4. The drip irrigation water pressure control method based on water flow drive according to claim 1, wherein The determination of the initial clogging possibility of each branch pipeline according to the first quantity, the second quantity, and the total quantity includes: Determine that the ratio of the sum value of the first quantity and the second quantity to the total quantity is the initial clogging possibility of the branch pipeline.

5. The drip irrigation water pressure control method based on water flow drive according to claim 1, characterized in that, The determination of the clogging possibility of each branch pipeline of the drip irrigation group according to the initial clogging possibility of each branch pipeline, the first average actual water flow data, the average theoretical water flow data, the second average actual water flow data, and the water flow change trend includes: Calculate the product of the absolute value of the difference between the first average actual water flow data and the average theoretical water flow data and the absolute value of the water flow change trend to obtain the clogging significance degree of the branch pipeline; Calculate the product of the absolute value of the difference between the first average actual water flow data and the second average actual water flow data and the clogging significance degree to obtain the corrected clogging significance degree of the branch pipeline after correction; Normalize the product of the initial clogging possibility and the corrected clogging significance degree to obtain the clogging possibility of the branch pipeline.

6. The drip irrigation water pressure control method based on water flow drive according to claim 1, wherein The determination of the final water pressure adjustment necessity of the drip irrigation system by using the clogging possibility of each branch pipeline of the drip irrigation group and the water pressure adjustment necessity includes: Superimpose the clogging possibilities of each branch pipeline of the drip irrigation group of the drip irrigation system to obtain the superimposed clogging possibility; Determine that the product of the superimposed clogging possibility and the superimposed clogging possibility is the final water pressure adjustment necessity of the drip irrigation system.

7. The drip irrigation water pressure control method based on water flow drive according to claim 1, characterized in that, The control of the drip irrigation water pressure of the drip irrigation system based on the final water pressure adjustment necessity includes: When the necessity of final water pressure regulation is greater than the threshold, a water pressure regulation command is sent to the drip irrigation system, and the drip irrigation water pressure of the drip irrigation system is controlled through the water pressure regulation command.

8. A drip irrigation water pressure control system based on water flow drive, characterized in that, It includes: An acquisition module for acquiring the water pressure data sequence during the drip irrigation process of a drip irrigation group of the drip irrigation system. One drip irrigation group is used for drip irrigation of the same type of crops. The drip irrigation group includes at least one branch pipeline, and the branch pipeline includes at least one drip head; A determination module for determining the theoretical water pressure and theoretical water flow data of each drip head of the drip irrigation group according to the theoretical water volume requirement of the crops, and determining the actual water pressure of each drip head of the drip irrigation group according to the water pressure data sequence; The determination module is further configured to use the water pressure data sequence, the actual water pressure and the theoretical water pressure to determine the necessity of water pressure regulation of the drip irrigation system; The determination module is further configured to determine the clogging possibility of each branch pipeline of the drip irrigation group according to the actual water flow data and the theoretical water flow data of each drip head on each branch pipeline of the drip irrigation group; The determination module is further configured to use the clogging possibility of each branch pipeline of the drip irrigation group and the necessity of water pressure regulation to determine the necessity of final water pressure regulation of the drip irrigation system; A control module for controlling the drip irrigation water pressure of the drip irrigation system based on the necessity of final water pressure regulation; The method for obtaining the clogging possibility of each branch pipeline of the drip irrigation group includes: Performing anomaly detection on the actual water flow data of each drip head on each branch pipeline of the drip irrigation group to obtain a normal data set and an abnormal data set. The actual water flow data in the normal data set is within the normal range, and the actual water flow data in the abnormal data set exceeds the normal range; Determining the initial clogging possibility of each branch pipeline according to the first number of drip heads corresponding to the actual water flow data in the normal data set, the second number of drip heads corresponding to the actual water flow data in the abnormal data set, and the total number of drip heads in the branch pipeline; Determining the first average actual water flow data of the normal data set according to the actual water flow data of each drip head in the normal data set, and determining the average theoretical water flow data of the normal data set according to the theoretical water flow data of each drip head in the normal data set; determining the second average actual water flow data of the abnormal data set according to the actual water flow data of each drip head in the abnormal data set; Performing linear fitting on the actual water flow data in the abnormal data set based on the least squares method to obtain the water flow change trend of the abnormal data set; Determining the clogging possibility of each branch pipeline of the drip irrigation group according to the initial clogging possibility of each branch pipeline, the first average actual water flow data, the average theoretical water flow data, the second average actual water flow data, and the water flow change trend.

9. A drip irrigation water pressure control system based on water flow drive, characterized in that, It includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the drip irrigation water pressure control method based on water flow driving as described in any one of claims 1-7.

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