Water and fertilizer integrated system blockage control method and device and water and fertilizer integrated system

Abstract

The application provides a clogging control method and device of a water and fertilizer integrated system and the water and fertilizer integrated system, and belongs to the technical field of agricultural irrigation. The method comprises the following steps: determining the suspended particulate matter pollution risk, non-particulate matter pollution risk and chemical scaling risk of a water and fertilizer mixed solution based on real-time operation parameters of the water and fertilizer integrated system; performing sequential judgment logic on the suspended particulate matter pollution risk, non-particulate matter pollution risk and chemical scaling risk to determine whether a target enhanced clogging control mode is triggered; and when any trigger condition in the sequential judgment logic is reached, the water and fertilizer integrated system is controlled to enter the target enhanced clogging control mode. The application overcomes the defects of the prior art, such as the dependence on a single index and passive response, by means of the precise identification and hierarchical response to different levels of composite risks through the sequential judgment logic based on the collaborative evaluation of various clogging risk sources, so that the clogging control is more prospective, timely and targeted.

Description

Technical Field

[0001] This application relates to the field of agricultural irrigation technology, and in particular to a method, device and system for controlling blockage in an integrated water and fertilizer system. Background Technology

[0002] Integrated water and fertilizer management technology is a key measure for achieving efficient water conservation in modern agriculture. However, clogging problems severely restrict the system's efficiency and long-term stable operation. During the fertilization process of an integrated water and fertilizer system, incomplete dissolution of fertilizer introduces new insoluble impurities. Simultaneously, the calcium, magnesium, and phosphate ions released during dissolution easily react chemically on the inner walls of pipes and emitters, forming insoluble crystalline precipitates such as calcium carbonate and phosphate. These clogging substances do not exist in isolation: physical impurities can act as nuclei for precipitate formation, accelerating the chemical crystallization process; while chemical precipitates can adsorb and cement suspended particles, forming a complex scale and clogging system, the degree and speed of which often far exceed that of a single type. Furthermore, during system fertilization, fertilizer dissolution may not only introduce insoluble impurities, but the ions released during dissolution are also more likely to form insoluble chemical precipitates in pipes and emitters. These precipitates combine with inherent impurities in the water source, further exacerbating the complexity, severity, and difficulty of controlling non-particulate matter pollution.

[0003] Existing methods for controlling blockages in integrated water and fertilizer systems typically rely on a single physical indicator (such as pressure difference) to determine whether a blockage has occurred, making it difficult to comprehensively assess the complex risks from multiple sources, including physical blockages and chemical scaling. Summary of the Invention

[0004] This application provides a method, device, and system for controlling clogging in an integrated water and fertilizer system, aiming to solve the problem that existing methods for controlling clogging in integrated water and fertilizer systems are unable to comprehensively assess the complex risks from multiple sources, such as physical clogging and chemical scaling.

[0005] In a first aspect, this application provides a method for controlling clogging in an integrated water and fertilizer system, comprising: The real-time operating parameters of the integrated water and fertilizer system are obtained, and the risks of suspended particulate matter pollution, non-particulate matter pollution, and chemical scaling of the water and fertilizer mixture are determined based on the real-time operating parameters. Whether to trigger the target-enhanced control and blocking mode is determined by a sequential judgment logic, which includes: Determine whether the risk of suspended particulate matter pollution has reached the first triggering condition; If the first triggering condition is not met, then determine whether the suspended particulate matter pollution risk and the non-particulate matter pollution risk meet the second triggering condition. If the second triggering condition is not met, then determine whether the suspended particulate matter pollution risk, the non-particulate matter pollution risk, and the chemical scaling risk have reached the third triggering condition. When any of the triggering conditions in the sequential judgment logic is met, the integrated water and fertilizer system is controlled to enter the target enhanced control and blocking mode.

[0006] As one embodiment, the target enhanced clogging control mode includes an enhanced filtration mode for inhibiting chemical scaling; In the sequential judgment logic of the enhanced filtration mode, the first triggering condition is that the suspended particulate matter pollution risk is between a first risk threshold and a second risk threshold; the second triggering condition is that the suspended particulate matter pollution risk is less than a third risk threshold, and the non-particulate matter pollution risk is between a fourth risk threshold and a fifth risk threshold; the third triggering condition is that the suspended particulate matter pollution risk is less than the third risk threshold, the non-particulate matter pollution risk is between a sixth risk threshold and the fourth risk threshold, and the chemical scaling risk is between a seventh risk threshold and an eighth risk threshold. Wherein, the first risk threshold is less than the second risk threshold, the third risk threshold is less than the first risk threshold, the fourth risk threshold is less than the fifth risk threshold, the sixth risk threshold is less than the fourth risk threshold, and the seventh risk threshold is less than the eighth risk threshold.

[0007] As one embodiment, the target enhanced clogging control mode includes a self-maintenance mode for suppressing filter clogging; In the sequential judgment logic of the self-maintenance mode, the first triggering condition is that the suspended particulate matter pollution risk is greater than the second risk threshold; the second triggering condition is that the suspended particulate matter pollution risk is less than the third risk threshold, and the non-particulate matter pollution risk is greater than the fifth risk threshold; the third triggering condition is that the suspended particulate matter pollution risk is less than the third risk threshold, the non-particulate matter pollution risk is between the sixth risk threshold and the fourth risk threshold, and the chemical scaling risk is greater than the eighth risk threshold.

[0008] As an example, the clogging control method for the integrated water and fertilizer system further includes: Predict the remaining effective operating time and probability of clogging of the filter; When at least one of the remaining effective operating time being less than a time threshold or the blockage probability being greater than a probability threshold occurs, the integrated water and fertilizer system is controlled to enter the self-maintenance mode.

[0009] As an example, the clogging control method for the integrated water and fertilizer system further includes: When the non-particulate matter pollution risk is between the third and fourth risk thresholds, the rate of increase of the non-particulate matter pollution risk is determined. When the growth rate exceeds the growth rate threshold, the integrated water and fertilizer system is controlled to enter the self-maintenance mode.

[0010] As one example, the real-time operating parameters include the real-time conductivity value and real-time pH value of the water-fertilizer mixture; Accordingly, determining the chemical scaling risk based on the real-time operating parameters includes: Determine the first deviation of the real-time conductivity value from the conductivity baseline and the second deviation of the real-time pH value from the pH baseline; The risk of chemical scaling is determined based on the first deviation, the second deviation, and the interactive coupling effect between the first deviation and the second deviation.

[0011] As one embodiment, controlling the integrated water and fertilizer system to enter the enhanced filtration mode includes: Activate the magnetization unit of the integrated water and fertilizer system; The integrated water and fertilizer system includes a fertilization unit, and the magnetization unit includes at least one of a first magnetization unit disposed upstream of the fertilization unit and a second magnetization unit disposed downstream of the fertilization unit.

[0012] As one embodiment, controlling the integrated water and fertilizer system to enter the self-maintenance mode includes: Activate the backwashing element on the filter and connect the drain pipe between the filter and the waste liquid storage tank.

[0013] Secondly, this application also provides a clogging control device for an integrated water and fertilizer system, comprising: The risk determination module is used to acquire the real-time operating parameters of the integrated water and fertilizer system, and to determine the suspended particulate matter pollution risk, non-particulate matter pollution risk, and chemical scaling risk of the water and fertilizer mixture based on the real-time operating parameters. The judgment module is used to determine whether to trigger the target enhanced control and blocking mode through sequential judgment logic, wherein the sequential judgment logic includes: Determine whether the risk of suspended particulate matter pollution has reached the first triggering condition; If the first triggering condition is not met, then determine whether the suspended particulate matter pollution risk and the non-particulate matter pollution risk meet the second triggering condition. If the second triggering condition is not met, then determine whether the suspended particulate matter pollution risk, the non-particulate matter pollution risk, and the chemical scaling risk have reached the third triggering condition. The control module is used to control the integrated water and fertilizer system to enter the target enhanced control and blocking mode when any triggering condition in the sequential judgment logic is met.

[0014] Thirdly, this application also provides an integrated water and fertilizer system, including a controller, a main water supply pipeline, a bypass pipeline, and a fertilizer suction pipeline; The main water pipeline is equipped with a fertilization unit, and multiple operating parameter acquisition devices are installed upstream and downstream of the fertilization unit. The operating parameter acquisition devices are used to determine the risk of suspended particulate matter pollution, non-particulate matter pollution, and chemical scaling of the water-fertilizer mixture. At least one enhanced blockage control device is provided on the main water supply pipeline, and different enhanced blockage control devices correspond to different target enhanced blockage control modes. The bypass pipeline is connected across both ends of the fertilization unit, and a bypass valve is provided on the bypass pipeline; The first end of the fertilizer suction pipe is connected to the fertilizer tank, and the second end of the fertilizer suction pipe is connected to the fertilizer liquid inlet of the fertilization unit. Filters are installed on the fertilizer suction pipeline and the main water supply pipeline; The controller is used to execute the blockage control method of the integrated water and fertilizer system described above.

[0015] Fourthly, this application also provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the blockage control method of any of the above-mentioned integrated water and fertilizer systems.

[0016] Fifthly, this application also provides a non-transitory computer-readable storage medium storing a computer program, which, when executed by a processor, implements any of the above-mentioned blockage control methods for integrated water and fertilizer systems.

[0017] Sixthly, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements any of the above-described methods for controlling blockages in an integrated water and fertilizer system. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the integrated water and fertilizer system provided in this application; Figure 2 This is a schematic diagram of the fertilization section of the integrated water and fertilizer system provided in this application; Figure 3 This is one of the flowcharts illustrating the clogging control method for the integrated water and fertilizer system provided in this application; Figure 4 This is the second flowchart illustrating the clogging control method for the integrated water and fertilizer system provided in this application; Figure 5 This is a schematic diagram of the blockage control device for the integrated water and fertilizer system provided in this application; Figure 6 This is a schematic diagram of the structure of the electronic device provided in this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] It should be noted that, in the description of this application, the terms "comprising," "including," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. The terms "upper," "lower," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are used only for the convenience of describing this application and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Unless otherwise expressly specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly, for example, as a fixed connection, a detachable connection, or an integral connection; a mechanical connection or an electrical connection; a direct connection or an indirect connection through an intermediate medium; or a connection within two elements. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0022] The terms "first," "second," etc., used in this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class, without limiting the number of objects; for example, a first object can be one or more. Furthermore, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects have an "or" relationship.

[0023] The following description, in conjunction with the accompanying drawings, describes the clogging control method, device, and integrated water and fertilizer system provided in this application.

[0024] The fertigation system provided in this application includes a controller, a main water supply pipeline, a bypass pipeline, and a fertilizer suction pipeline. The controller is used to control the fertigation system to perform blockage control; please see the following description of the blockage control method for the fertigation system.

[0025] Please combine Figure 1 and Figure 2 The main water supply pipeline sequentially includes an inlet section, a fertilizer absorption section, and an outlet section. The main water flow starts from the inlet of the inlet section, passes through the fertilizer absorption section, and then flows to the outlet of the outlet section, thus delivering the water-fertilizer mixture to the soil. A fertilizer application unit 110 is installed on the fertilizer absorption section. Multiple operating parameter acquisition devices are located upstream and downstream of the fertilizer application unit 110. These devices are used to determine the suspended particulate matter pollution risk, non-particulate matter pollution risk, and chemical scaling risk of the water-fertilizer mixture. At least one enhanced clogging control device is installed on the main water supply pipeline 100, with different enhanced clogging control devices corresponding to different target enhanced clogging control modes.

[0026] The bypass pipe 200 is connected across both ends of the fertilization unit 110, and a bypass valve 210 is provided on the bypass pipe 200. The bypass pipe 200 is used to create a pressure difference in the pipeline before and after fertilization, and the pressure difference is determined by the first pressure gauge 140 and the second pressure gauge 150 at both ends of the fertilization unit 110. By adjusting the opening of the bypass valve 210, the required pressure difference is created before and after fertilization to drive the fertilizer solution in the fertilizer suction pipe 300 into the fertilization unit 110.

[0027] like Figure 2As shown, the first end of the fertilizer suction pipe 300 is connected to the fertilizer tank 400, and the second end of the fertilizer suction pipe 300 is connected to the fertilizer inlet of the fertilization unit 110. A fertilizer suction filter 310 (e.g., a Y-type filter) and a check valve 320 are installed on the fertilizer suction pipe 300 to reduce the entry of large particles and prevent backflow. Since solid fertilizers (especially ordinary water-soluble fertilizers) often contain insoluble residues or large particulate impurities after dissolution, the fertilizer suction filter 310 is used to filter these residues and large particulate impurities, preventing them from being sucked into the fertilization unit 110 and the main water supply pipe along with the fertilizer solution, thereby avoiding clogging of the precision fertilization unit 110 and downstream irrigation devices (such as drippers).

[0028] In one possible implementation, the fertilizer suction line 300 can also be equipped with a fertilizer suction pump to increase the power of fertilizer solution suction into the fertilizer application unit 110.

[0029] like Figure 1 As shown, the inlet section is also equipped with a filter 120, which may include a sand filter, a disc filter, etc. The sand filter is used to filter sand and gravel in the main water flow, and the disc filter is used to intercept suspended particles and organic matter in the main water flow. The fertilization section is also equipped with a fertilization valve 130 ( Figure 2 (Not shown in the image) to control the start and end of fertilization. Inspection pipes 700 are also provided at both ends of the fertilization section, with clear water valves 710 installed on the inspection pipes 700. The inspection pipes 700 are used for maintenance of the integrated water and fertilizer system.

[0030] The fertilization unit 110 can be a single-channel water and fertilizer machine or other fertilization equipment, which accurately injects fertilizer solution according to the water and fertilizer formula to form a water and fertilizer mixture.

[0031] In one possible implementation, the fertilization unit 110 is a Venturi fertilization unit.

[0032] The operating parameter sensors include a first pressure gauge 140 and a second pressure gauge 150 located at both ends of the fertilization unit 110, and a water quality sensing unit 160 located downstream of the fertilization unit 110. The two pressure gauges are used to determine the pressure difference before and after the fertilization unit 110. The water quality sensing unit 160 is used to assess the contamination characteristics of the fertilizer mixture online.

[0033] In one possible implementation, the water quality sensing unit 160 integrates a turbidity sensor, an electrical conductivity (EC) sensor, and a potential of hydrogen (PH) sensor.

[0034] In one possible implementation, the target enhanced clogging control mode includes at least one of an enhanced filtration mode for inhibiting chemical scaling and a self-maintenance mode for inhibiting filter clogging, wherein the filter can be any filter on the main water supply line and the fertilizer suction line.

[0035] In one possible implementation, the enhanced blocking device applied to the enhanced filtering mode includes a magnetization unit.

[0036] In one possible implementation, the magnetization unit includes at least one of a first magnetization unit 170 located upstream of the fertilization unit 110 (e.g., in the inlet section after the inlet and before the fertilization unit 110) and a second magnetization unit 180 located downstream of the fertilization unit (e.g., in the outlet section after the fertilization unit 110 and before the outlet) (wherein the water quality sensing unit is located between the second magnetization unit and the fertilization unit 110). The magnetization unit generates a specific magnetic field on the outer pipe wall, which alters the ion hydration state and crystallization habit of the water-fertilizer mixture through the magnetic field, inhibiting the precipitation and deposition of scale-forming substances such as calcium and magnesium ions and phosphates, thereby reducing clogging of the pipes and irrigation devices.

[0037] In one possible implementation, the magnetizing unit employs a permanent magnet ring or an electromagnetic coil structure. When stronger process control is required, an electromagnetic coil magnetizing unit is used, allowing the controller to start, stop, or adjust the excitation intensity of the electromagnetic coil magnetizing unit according to operating conditions.

[0038] A permanent magnet ring consists of a magnet assembly, a shell, and a pipe clamp. The magnets are arranged around the pipe section, allowing the magnetic field to penetrate the pipe wall and act on the fluid inside the pipe. A symmetrical arrangement or a simplified Halbach array permanent magnet ring can be used to enhance the effective magnetic flux density and directional consistency inside the pipe.

[0039] The electromagnetic coil magnetization unit consists of a coil, a magnetic core, a housing, and a power supply. The controller achieves graded or continuously adjustable magnetic field strength by outputting a pulse width modulation (PWM) or constant current drive signal. The electromagnetic coil magnetization unit can be linked to water quality and differential pressure risk assessments, increasing excitation intensity or extending the duration of action when chemical risk increases.

[0040] In one possible implementation, such as Figure 1 As shown, the enhanced clogging control device applied in self-maintenance mode includes a water-fertilizer mixture filter 190 installed on the main water supply pipeline. Figure 2(Not shown in the image) The water-fertilizer mixture filter 190 is equipped with a backwashing element, and the waste liquid outlet of the water-fertilizer mixture filter 190 is connected to the waste liquid storage tank 500 through a drain pipe. The backwashing element is used to flush impurities on the water-fertilizer mixture filter 190 and to collect the water-fertilizer waste liquid into the waste liquid storage tank through the drain pipe.

[0041] In one possible implementation, the water-fertilizer mixture filter 190 is a backwash filter, meaning that the water-fertilizer mixture filter has a built-in backwash element.

[0042] The water and fertilizer integration system of this application embodiment, through the cooperation of multiple operating parameter acquisition devices and enhanced blockage control devices, utilizes a controller to achieve accurate identification and graded response to complex risks of different levels, overcoming the shortcomings of existing technologies that rely on a single indicator, making blockage control more timely and targeted, thereby significantly improving the long-term operational stability and reliability of the water and fertilizer integration system.

[0043] The following describes the clogging control method for an integrated water and fertilizer system provided in this application. It should be noted that the clogging control method for an integrated water and fertilizer system provided in this application is implemented based on a clogging control device for the integrated water and fertilizer system. This method is based on a synergistic assessment of multiple clogging risk sources, including suspended particulate matter pollution, non-particulate matter pollution, and chemical scaling. Through a prioritized sequential judgment logic, it achieves accurate identification and graded response to different levels of composite risks. Specifically, when the third triggering condition is met, it intervenes early through an enhanced clogging control mode to suppress sediment formation, overcoming the shortcomings of existing technologies that rely on single indicators and passive responses. This makes clogging control more forward-looking, timely, and targeted, thereby significantly improving the long-term operational stability and reliability of the integrated water and fertilizer system.

[0044] This application describes the blockage control method for an integrated water and fertilizer system using a blockage control device as the implementing entity.

[0045] Figure 3 This is one of the flowcharts illustrating the clogging control method for the integrated water and fertilizer system provided in this application. For example... Figure 3 As shown, the clogging control method for the integrated water and fertilizer system provided in this application includes: S310: Obtain the real-time operating parameters of the integrated water and fertilizer system, and determine the risk of suspended particulate matter pollution, non-particulate matter pollution, and chemical scaling of the water and fertilizer mixture based on the real-time operating parameters.

[0046] The controller obtains the real-time operating parameters by communicating with various operating parameter collectors.

[0047] The suspended particulate matter pollution risk is characterized by the clogging risk caused by immediate physical particulate impurities (such as silt and organic debris) carried by water sources or generated by incompletely dissolved fertilizers.

[0048] In one possible implementation, the real-time operating parameter used to determine the risk of suspended particulate matter pollution can be the turbidity of the water-fertilizer mixture. The controller collects turbidity values ​​in real time via a turbidity sensor. The higher the turbidity value, or the greater the increase in turbidity per unit time, the higher the level of suspended particulate matter pollution risk.

[0049] The non-particulate matter pollution risk is characterized by the blockage risk caused by the gradual reduction of the flow channel cross-section due to biofilm growth, colloidal substance deposition, etc.

[0050] In one possible implementation, the real-time operating parameter used to determine the non-particulate matter pollution risk is the pressure difference between the pressures collected by the pressure gauges before and after the fertilizer unit 110, i.e., the pressure differential before and after the fertilizer unit 110. When the flow rate is relatively stable, a continuous increase in the pressure differential indicates that the filter media is gradually becoming clogged, and the non-particulate matter pollution risk level is rising.

[0051] The chemical scaling risk characterization refers to the risk of blockage caused by the precipitation and adhesion of insoluble substances such as calcium carbonate and phosphate to the pipe wall or the water dispenser channel due to changes in ion concentration and pH in the water-fertilizer mixture.

[0052] In one possible implementation, the real-time operating parameters used to determine the risk of chemical scaling are the real-time conductivity (EC) and pH of the water-fertilizer mixture. The controller acquires these two parameters via EC and pH sensors and compares them to baseline conductivity and pH values ​​representing normal system operation to determine the degree of deviation. A greater deviation indicates a higher risk of chemical scaling.

[0053] S320: Determine whether to trigger the target-enhanced control and blocking mode through sequential judgment logic. The sequential judgment logic includes: Determine whether the risk of suspended particulate matter pollution has reached the first triggering condition; If the first triggering condition is not met, then determine whether the suspended particulate matter pollution risk and the non-particulate matter pollution risk meet the second triggering condition. If the second triggering condition is not met, then determine whether the risk of suspended particulate matter pollution, the risk of non-particulate matter pollution, and the risk of chemical scaling have reached the third triggering condition.

[0054] After determining the risks of suspended particulate matter pollution, non-particulate matter pollution, and chemical scaling in the water-fertilizer mixture, the controller does not make independent judgments on them. Instead, it executes a pre-set, priority-based sequential judgment logic (e.g., turbidity as the primary judgment, pressure difference as the auxiliary confirmation, and chemical coupling as the early warning) to achieve accurate response to risks of different properties and levels.

[0055] First, it is determined whether the risk of particulate matter pollution reaches a first trigger condition. This first trigger condition can be set as a turbidity value exceeding a preset threshold. The assessment of particulate matter pollution risk is the highest priority because it is the most direct and rapid risk of blockage, representing the first line of defense. If the risk of particulate matter pollution reaches the first trigger condition, a trigger signal for the target-enhanced blockage control mode is generated, and the assessment process ends.

[0056] If the first trigger condition is not met, the controller enters the second-level judgment stage for auxiliary confirmation and in-depth diagnosis of system blockage: determining whether the risk of suspended particulate matter pollution and the risk of non-particulate matter pollution both meet the second trigger condition. The judgment logic of the second level is mixed. For example, when the turbidity value is normal, but the differential pressure value shows an abnormal increase, it is determined that the second trigger condition has been met, indicating that the system may have a risk of non-particulate matter pollution caused by biofilm growth, colloidal deposition, or progressive physical blockage. If the second trigger condition is met, a trigger signal for the target enhanced blockage control mode is generated, and the judgment process ends.

[0057] If the second trigger condition is not met, the controller will shift its focus to potential, latent chemical risks and proceed to the third level of judgment: determining whether the suspended particulate matter pollution risk, the non-particulate matter pollution risk, and the chemical scaling risk all meet the third trigger condition. For example, when turbidity and differential pressure are within acceptable ranges, but the chemical scaling risk calculated based on EC and pH exceeds its safety threshold, it indicates a high probability of chemical scaling, i.e., the third trigger condition has been met. If the third trigger condition is met, the system intervenes in advance, generating a trigger signal for a targeted enhanced clogging control mode to inhibit precipitation formation, and the judgment process ends.

[0058] S330: When any triggering condition in the sequential judgment logic is met, control the integrated water and fertilizer system to enter the target enhanced control and blocking mode.

[0059] The target-enhanced control and blocking mode is one or more operating modes with higher control intensity compared to the system's conventional filtering mode.

[0060] When the controller determines that none of the trigger conditions are met in the above sequential judgment logic, it indicates that all operating parameters (differential pressure, turbidity, pH, EC) of the integrated water and fertilizer system are within the preset normal range, that is, all risk indicators are normal. At this time, the system automatically starts the low-energy-consumption conventional filtration mode to achieve optimal energy-efficient and stable operation while meeting basic water quality requirements. In the conventional filtration mode, all enhanced clogging control devices are turned off.

[0061] When the controller determines that the corresponding triggering condition has been met at any step of the above sequential judgment logic, it will immediately generate and send a control command to switch the system from the normal operation mode to the preset target enhanced control and blocking mode. For example, the controller can activate specific components in the system, such as the magnetization unit or the backwashing unit, or adjust the operating parameters of the system to perform more targeted control and blocking operations than the normal filtration mode.

[0062] This application's embodiments are based on a synergistic assessment of multiple clogging risk sources, including suspended particulate matter pollution, non-particulate matter pollution, and chemical scaling. Through a prioritized sequential judgment logic, it achieves accurate identification and graded response to composite risks of different levels. In particular, when the third triggering condition is met, it intervenes in advance through an enhanced clogging control mode to suppress sediment formation. This overcomes the shortcomings of existing technologies that rely on single indicators and passive responses, making clogging control more forward-looking, timely, and targeted, thereby significantly improving the long-term operational stability and reliability of the integrated water and fertilizer system.

[0063] In one possible implementation, in S310, the real-time operating parameters include the real-time conductivity value of the water-fertilizer mixture. and real-time pH value ; Accordingly, the risk of chemical scaling is determined based on the real-time operating parameters. ,include: S3110: Determine the real-time conductivity value First deviation from the conductivity baseline and the real-time pH value Second deviation relative to the pH baseline .

[0064] First deviation The calculation formula is as follows: (1); in, Indicates conductivity value Deviation relative to the current dynamic baseline value of conductivity; Indicates the real-time result after filtering value; This represents the dynamic baseline value of conductivity at the current moment; This represents the conductivity threshold that triggers the enhanced filtering mode; Represents numerically stable terms (such as...) ), to prevent division by zero.

[0065] Second deviation The calculation formula is as follows: (2); in, and This indicates the preset permission for the operation of the integrated water and fertilizer system. Interval boundary values; This indicates the signal after preprocessing (filtering and noise reduction). Valid values; This indicates that the upper limit has been exceeded; This indicates that the lower limit has been exceeded. This represents the sum of the upper and lower limits exceeding the limit, i.e., the deviation from the limit. The relative offset distance from the allowable interval; express Allow for out-of-limit normalized scale parameters.

[0066] S3120: Based on the first deviation The second deviation and the first deviation Deviation from the second The interactive coupling effect determines the risk of chemical scaling. : (3); in, , and These are the weighting coefficients; This indicates the contribution of chemical risk caused by abnormal electrolyte concentration or ionic strength; This indicates the contribution of chemical risk caused by deviations from the allowable operating range of acid-base conditions; The interaction-coupled penalty term representing the first and second deviations is used to characterize the conductivity anomaly and The risk amplification effect when deviations occur simultaneously; It is a standard clipping function: (4); Used to set variables The value is restricted to the interval [0,1]. Ensure the result is not less than 0. Ensure the result is no greater than 1. In this application, Increase the risk of eventual chemical scaling. It has better mathematical properties and interpretability.

[0067] This application not only considers the deviation of real-time conductivity and real-time pH values, but also takes into account the interactive coupling effect caused by the deviation of the two to determine the risk of chemical scaling. Since the risk of scaling will be amplified nonlinearly and drastically when the concentration of potential scale-forming ions and the chemical environment conducive to precipitation occur at the same time, this application can identify potential chemical scaling risks earlier and more sensitively than by independently monitoring each parameter, thereby providing the entire controller with accurate and reliable forward-looking early warning capabilities.

[0068] In one possible implementation, the target enhanced fouling control mode includes an enhanced filtration mode for inhibiting chemical scaling; In the sequential judgment logic of the enhanced filtration mode, the first triggering condition is that the suspended particulate matter pollution risk is between a first risk threshold and a second risk threshold; the second triggering condition is that the suspended particulate matter pollution risk is less than a third risk threshold, and the non-particulate matter pollution risk is between a fourth risk threshold and a fifth risk threshold; the third triggering condition is that the suspended particulate matter pollution risk is less than the third risk threshold, the non-particulate matter pollution risk is between a sixth risk threshold and the fourth risk threshold, and the chemical scaling risk is between a seventh risk threshold and an eighth risk threshold. Wherein, the first risk threshold is less than the second risk threshold, the third risk threshold is less than the first risk threshold, the fourth risk threshold is less than the fifth risk threshold, the sixth risk threshold is less than the fourth risk threshold, and the seventh risk threshold is less than the eighth risk threshold.

[0069] When the sequential judgment logic determines that the triggering conditions of the enhanced filtering mode are met, the controller immediately activates the enhanced blocking device of the enhanced filtering mode and switches to the enhanced filtering mode.

[0070] The following combination Figure 4 The sequential judgment logic of the enhanced filtration mode is illustrated by taking the above-mentioned examples of determining the risk of suspended particulate matter pollution based on turbidity, determining the risk of non-particulate matter pollution based on pressure difference, and determining the risk of chemical scaling based on real-time conductivity and real-time pH values.

[0071] Regarding turbidity: Standard Filtering Mode: ; Enhanced Filtering Mode: ; Self-maintenance mode: ; in, , and These represent the third risk threshold, the first risk threshold, and the second risk threshold, respectively. Indicates the current turbidity; This represents the normal turbidity baseline under standard filtration mode. This represents the median absolute deviation, which is the typical amplitude of turbidity fluctuations around the normal value; Indicates the warning multiple (e.g.) When turbidity is more than 4 times higher than the normal baseline At that time, it was determined that the system water quality had deteriorated significantly, triggering the enhanced filtration mode; When turbidity is 7 times higher than the normal baseline At that time, the system water quality was considered to be in a state of severe pollution and high load, triggering the self-maintenance mode.

[0072] Regarding pressure difference: Standard Filtering Mode: ; Enhanced Filtering Mode: , ; Self-maintenance mode: ; in, This indicates the pressure difference across the fertilization unit at the current moment; This indicates the baseline pressure difference after the fertilizer unit is cleaned (pressure difference after system initialization or backwashing). This indicates the upper limit of the system's allowable critical pressure difference; This indicates the available differential pressure margin; α and β represent proportional coefficients (0~1). (For example, when the differential pressure margin α is 0.4–0.6, the channels are clearly occupied, and the system is prone to accelerated blockage if it continues to maintain the normal mode, so it needs to enter the enhanced filtration mode; when the differential pressure margin β is 0.75–0.9, it enters the self-maintenance mode, still retaining 10%–25% differential pressure margin to cope with short-term fluctuations in the system). , and These represent the sixth, fourth, and fifth risk thresholds, respectively.

[0073] In this embodiment of the application, only when the risk of suspended particulate matter pollution is less than the third risk threshold ( Only when the pressure difference is reached will it determine whether to enter the enhanced filtration mode or the self-maintenance mode.

[0074] Risk of chemical scaling : Standard Filtering Mode: ; Enhanced Filtering Mode: , ; Self-maintenance mode: ; in, and These are the seventh and eighth risk thresholds, respectively. Indicates the risk of chemical scaling. The 95th percentile in the historical data statistical distribution means that, under normal conditions, the system allows for occasional deviations exceeding [a certain threshold]. However, the probability cannot exceed 5%. Similarly.

[0075] In this embodiment of the application, only when the risk of suspended particulate matter pollution is less than the third risk threshold ( The non-particulate matter pollution risk is located between the sixth risk threshold and the fourth risk threshold. Only when the risk of chemical scaling is present will it be determined whether to trigger the enhanced filtration mode or the self-maintenance mode.

[0076] This application embodiment establishes an enhanced filtering mode, which is between conventional filtering and high-intensity maintenance, as an intermediate intervention level. This enables the controller to execute control actions of appropriate intensity based on the diagnosed medium risk level, avoiding the direct initiation of high-cost maintenance operations in non-emergency situations. This achieves precise matching of control intensity and optimized utilization of system resources, thereby significantly improving the overall economy and efficiency of operation while ensuring system reliability.

[0077] In one possible implementation, controlling the integrated water and fertilizer system to enter the enhanced filtration mode includes: Activate the magnetization unit of the integrated water and fertilizer system; The integrated water and fertilizer system includes a fertilization unit, and the magnetization unit includes at least one of a first magnetization unit disposed upstream of the fertilization unit and a second magnetization unit disposed downstream of the fertilization unit.

[0078] The first magnetization unit is used to reduce the risk of sediment buildup caused by raw water. The second magnetization unit is used to reduce the risk of sediment buildup caused by localized high concentration areas after mixing, and to improve adaptability to chemical blockage caused by fertilization.

[0079] This application embodiment achieves enhanced filtration mode by activating the magnetization module, thereby changing the crystallization habit of ions in the water-fertilizer mixture in real time and inducing them to form loose precipitates that are not easy to adhere to the pipe wall, thus inhibiting the formation of hard scale at the source. Furthermore, by arranging dual nodes upstream and downstream of the fertilization unit, the raw water and high-concentration mixture can be treated in stages, further enhancing the scale control effect and providing the system with economical, environmentally friendly and efficient process chemical clogging protection.

[0080] Based on the above, in one possible implementation, the target enhanced clogging control mode includes a self-maintenance mode for suppressing filter clogging; In the sequential judgment logic of the self-maintenance mode, the first triggering condition is that the risk of suspended particulate matter pollution is greater than the second risk threshold; the second triggering condition is that the risk of suspended particulate matter pollution is less than the third risk threshold, and the risk of non-particulate matter pollution is greater than the fifth risk threshold; the third triggering condition is that the risk of suspended particulate matter pollution is less than the third risk threshold, the risk of non-particulate matter pollution is between the sixth and fourth risk thresholds, and the risk of chemical scaling is greater than the eighth risk threshold. Please refer to the above regarding... Figure 4 Explanation.

[0081] This application introduces a self-maintenance mode to address the highest level of risk, and sets an independent trigger threshold that is higher than that of the enhanced filtering mode. This allows the controller to clearly distinguish between medium-risk situations requiring process intervention and high-risk situations requiring thorough cleaning. This reserves high-intensity corrective operations such as backflushing for the most necessary scenarios, ensuring that the system can take decisive and effective measures to restore performance when faced with a serious blockage threat. At the same time, it avoids operation interruption and resource consumption due to premature or unnecessary maintenance operations, achieving the best balance between long-term system reliability and operating costs.

[0082] In one possible implementation, controlling the integrated water and fertilizer system to enter the self-maintenance mode includes: Activate the backwashing element on the filter and connect the drain pipe between the filter and the waste liquid storage tank.

[0083] In self-maintenance mode, the integrated water and fertilizer system initiates backwashing of the pipeline where the filter is located based on the backwashing command. At the same time, it collects the waste liquid generated by the backwashing into the waste liquid storage tank in a specific direction, forming an internal resource circulation. Thus, before the blockage is completely formed, it actively initiates precise timed or pressured backwashing of the pipeline.

[0084] This application embodiment constructs a resource closed-loop self-maintenance process. While performing backwashing to restore filter performance, nutrient-rich waste liquid is collected into a temporary storage tank through a dedicated pipeline for subsequent reuse. This not only completes the cleaning and maintenance of the filter, but also reintroduces the water and fertilizer resources that were originally discharged as waste into the system cycle, thereby maximizing the utilization of water and fertilizer resources and improving the economy and sustainability of the entire solution.

[0085] In one possible implementation, the clogging control method for the integrated water and fertilizer system also includes: The remaining effective operating time and clogging probability of the filter are predicted, and when at least one of the remaining effective operating time being less than a time threshold and the clogging probability being greater than a probability threshold occurs, the integrated water and fertilizer system is controlled to enter the self-maintenance mode.

[0086] In its self-maintenance mode, this application's embodiments break through the limitations of traditional simple alarms based on fixed thresholds, introducing a data-driven intelligent prediction model to achieve precise, personalized, energy-efficient, and continuously evolving intelligent maintenance. The intelligent prediction model, through in-depth mining and learning of multi-dimensional historical operational data, achieves accurate assessment of the filter's health status and proactive prediction of maintenance needs.

[0087] In one possible implementation, the intelligent prediction model includes a core prediction model and an auxiliary diagnostic model. The core prediction model can be a long short-term memory network, which effectively captures the nonlinear dynamic trend of blockage development by processing time-varying sequence data such as pressure differential and turbidity.

[0088] The auxiliary diagnostic model can be a random forest, which is used to analyze the correlation between non-time-series characteristics such as conductivity, pH, and flow rate and the blockage rate, and to perform multi-factor coupled diagnosis.

[0089] The training data for the intelligent prediction model includes: historical sequence data of the pressure difference before and after the fertilization unit during the historical operation of the water and fertilizer integration system, such as the full cycle data from normal filtration to automatic backwashing, historical pressure difference change trends and filtration efficiency decay data; water quality related data, such as historical data of turbidity and conductivity values; system operation status data, such as system flow rate, pump frequency, etc., as well as historical data such as cumulative filtered water volume, operating time, recent backwashing frequency and effect.

[0090] During the inference phase, the input data for the intelligent prediction model is the same as the training data described above. The core prediction model predicts the remaining effective operating time of the filter, while the auxiliary diagnostic model predicts the probability of clogging. When at least one of the following occurs: the remaining effective operating time is less than the safety buffer time threshold or the probability of clogging is greater than the probability threshold, the controller enters self-maintenance mode, automatically generating and executing precise backwashing commands. During backwashing, the differential pressure drop curve and effluent turbidity are monitored. After backwashing, the system evaluates the backwash recovery efficiency. This efficiency data is used as key feedback to feed back to the intelligent prediction model to assess the accuracy of the current prediction and optimize subsequent predictions.

[0091] This application embodiment enables the controller to predict future blockage trends through in-depth analysis of historical data. This allows the self-maintenance mode to be triggered before a blockage problem manifests as a serious issue in real-time parameters. This upgrades the system's maintenance strategy from passive response to proactive and predictive maintenance, minimizing unplanned downtime caused by blockages, ensuring the continuity of irrigation operations, and allowing maintenance activities to be scheduled at the most appropriate time. This results in a significant improvement in system availability and maintenance efficiency.

[0092] In one possible implementation, the clogging control method for the integrated water and fertilizer system also includes: When the non-particulate matter pollution risk is between the third and fourth risk thresholds, the rate of increase of the non-particulate matter pollution risk is determined. ; and in the growth rate When the growth rate exceeds the threshold, the integrated water and fertilizer system is controlled to enter the self-maintenance mode.

[0093] Taking the example of determining non-particulate matter pollution risk based on pressure difference, the growth rate This represents the change in pressure difference per unit time. , (5); in, This indicates the time interval for speed calculation. This indicates the threshold for the increase in pressure differential.

[0094] like This indicates that the rate of non-particulate matter clogging is relatively fast, and it is necessary to enter the self-maintenance mode in advance.

[0095] This application embodiment monitors the rate of increase in non-particulate matter pollution risk, enabling the controller to identify rapidly worsening clogging trends. Even if the non-particulate matter pollution risk has not yet reached the set static threshold, it can trigger the self-maintenance mode in advance, providing an additional layer of safety redundancy for the system. This enhances its responsiveness to sudden and rapidly developing clogging problems, ensuring the timeliness of control and system security under various clogging development modes.

[0096] Based on the above, the working principle of the integrated water and fertilizer system is as follows: Conventional water supply and pretreatment: After the main water flow enters the main water pipeline, the water is physically treated without the addition of chemical agents, providing a more stable chemical environment for subsequent mixing and transportation.

[0097] Establish pressure difference and drive fertilizer suction: Control the opening of the bypass valve to create a pressure difference before and after the fertilizer unit. At this time, the fertilizer solution in the fertilizer tank is sucked into the fertilizer unit through the fertilizer suction filter and check valve, and mixed with the main water flow inside the fertilizer unit. Then it is output through the outlet of the main water pipeline.

[0098] Enhanced filtration: When the triggering conditions of enhanced filtration mode are met, after the enhanced filtration mode is started, the main water flow before mixing is magnetized by the first magnetization unit, and the mixed water-fertilizer mixture is magnetized by the second magnetization unit. This dual-node arrangement can be used to reduce the risk of sedimentation and adhesion caused by local high concentration areas after mixing, and improve the adaptability to chemical blockage caused by fertilization.

[0099] Self-maintenance linked to intelligent control: In normal or enhanced filtration mode, when the controller detects that the triggering conditions for self-maintenance mode are met through intelligent prediction model or operating parameters, the controller system enters self-maintenance mode to backwash the filter and collect waste liquid.

[0100] Fertilization Post-Fertilization Rinse: After fertilization, rinse the system with clean water. This will maintain magnetization for a certain period of time, helping to reduce the risk of residual fertilizer crystallization.

[0101] This invention constructs a composite clogging prevention and control mechanism from process purification to intelligent maintenance through progressive intelligent control. This mechanism integrates physical clogging control and intelligent filtration. Physical clogging control uses magnetization technology to change the ion crystallization characteristics, thereby inhibiting chemical scaling. Intelligent filtration achieves autonomous switching between three progressive modes—conventional filtration, enhanced filtration, and self-maintenance—by dynamically analyzing water quality sensor data. Through continuous learning of operational trends, the system can also precisely trigger automatic backwashing and directionally recycle and regenerate waste liquid, ultimately forming a highly efficient, water-saving, and intelligent irrigation and fertilization solution. This solution not only achieves a leap from passive response to intelligent predictive maintenance, reducing manual intervention and downtime risks, but also significantly improves the continuity and reliability of irrigation by controlling clogging from both the source and process through the synergistic effect of physical filtration and chemical regulation. Furthermore, this application uses a closed-loop design to collect and reuse the waste liquid generated by backwashing, maximizing the utilization of water and fertilizer resources and effectively reducing operating costs and emissions. Meanwhile, this application can adaptively control and flexibly match different water qualities and operating conditions with a single set of equipment. The built-in progressive control mode provides a reliable platform for long-term stable operation and process optimization, highlighting the economy and sustainability of the new system.

[0102] In addition, this solution integrates powerful testing and analysis functions, expanding the application value of the equipment. The supporting pipeline system itself is a multi-functional testing platform, which can conveniently conduct filtration performance tests, hydraulic characteristic analyses, and water quality sampling and testing under various working conditions. This allows the equipment to not only be used in production, but also to serve the research and development and optimization of filtration processes, providing data support for users to customize the most efficient and economical irrigation solutions, thereby enhancing the overall value and practicality of the technical solution.

[0103] Based on the above, this application also provides a clogging control device for an integrated water and fertilizer system. The clogging control device for the integrated water and fertilizer system can be referred to in correspondence with the clogging control method for the integrated water and fertilizer system described above.

[0104] As an example, such as Figure 5 As shown, the clogging control device of the integrated water and fertilizer system includes: The risk determination module 510 is used to acquire the real-time operating parameters of the integrated water and fertilizer system, and to determine the suspended particulate matter pollution risk, non-particulate matter pollution risk and chemical scaling risk of the water and fertilizer mixture based on the real-time operating parameters. The judgment module 520 is used to determine whether to trigger the target enhanced control and blocking mode through sequential judgment logic, wherein the sequential judgment logic includes: Determine whether the risk of suspended particulate matter pollution has reached the first triggering condition; If the first triggering condition is not met, then determine whether the suspended particulate matter pollution risk and the non-particulate matter pollution risk meet the second triggering condition. If the second triggering condition is not met, then determine whether the suspended particulate matter pollution risk, the non-particulate matter pollution risk, and the chemical scaling risk have reached the third triggering condition. The control module 530 is used to control the integrated water and fertilizer system to enter the target enhanced control and blocking mode when any triggering condition in the sequential judgment logic is met.

[0105] This application's embodiments are based on a synergistic assessment of multiple clogging risk sources, including suspended particulate matter pollution, non-particulate matter pollution, and chemical scaling. Through a prioritized sequential judgment logic, it achieves accurate identification and graded response to composite risks of different levels. In particular, when the third triggering condition is met, it intervenes in advance through an enhanced clogging control mode to suppress sediment formation. This overcomes the shortcomings of existing technologies that rely on single indicators and passive responses, making clogging control more forward-looking, timely, and targeted, thereby significantly improving the long-term operational stability and reliability of the integrated water and fertilizer system.

[0106] Figure 6 This is a schematic diagram of the structure of the electronic device provided in this application, such as... Figure 6As shown, the electronic device may include: a processor 610, a communication interface 620, a memory 630, and a communication bus 640, wherein the processor 610, the communication interface 620, and the memory 630 communicate with each other through the communication bus 640. The processor 610 can call logical instructions in the memory 630 to execute a blockage control method for the integrated water and fertilizer system, the method including: The real-time operating parameters of the integrated water and fertilizer system are obtained, and the risks of suspended particulate matter pollution, non-particulate matter pollution, and chemical scaling of the water and fertilizer mixture are determined based on the real-time operating parameters. Whether to trigger the target-enhanced control and blocking mode is determined by a sequential judgment logic, which includes: Determine whether the risk of suspended particulate matter pollution has reached the first triggering condition; If the first triggering condition is not met, then determine whether the suspended particulate matter pollution risk and the non-particulate matter pollution risk meet the second triggering condition. If the second triggering condition is not met, then determine whether the suspended particulate matter pollution risk, the non-particulate matter pollution risk, and the chemical scaling risk have reached the third triggering condition. When any of the triggering conditions in the sequential judgment logic is met, the integrated water and fertilizer system is controlled to enter the target enhanced control and blocking mode.

[0107] Furthermore, the logical instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0108] On the other hand, this application also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by a computer, the computer is able to execute the blockage control method of the integrated water and fertilizer system provided in the above embodiments. The method includes: The real-time operating parameters of the integrated water and fertilizer system are obtained, and the risks of suspended particulate matter pollution, non-particulate matter pollution, and chemical scaling of the water and fertilizer mixture are determined based on the real-time operating parameters. Whether to trigger the target-enhanced control and blocking mode is determined by a sequential judgment logic, which includes: Determine whether the risk of suspended particulate matter pollution has reached the first triggering condition; If the first triggering condition is not met, then determine whether the suspended particulate matter pollution risk and the non-particulate matter pollution risk meet the second triggering condition. If the second triggering condition is not met, then determine whether the suspended particulate matter pollution risk, the non-particulate matter pollution risk, and the chemical scaling risk have reached the third triggering condition. When any of the triggering conditions in the sequential judgment logic is met, the integrated water and fertilizer system is controlled to enter the target enhanced control and blocking mode.

[0109] In another aspect, this application also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, is implemented to perform the blockage control method for the integrated water and fertilizer system provided in the above embodiments, the method comprising: The real-time operating parameters of the integrated water and fertilizer system are obtained, and the risks of suspended particulate matter pollution, non-particulate matter pollution, and chemical scaling of the water and fertilizer mixture are determined based on the real-time operating parameters. Whether to trigger the target-enhanced control and blocking mode is determined by a sequential judgment logic, which includes: Determine whether the risk of suspended particulate matter pollution has reached the first triggering condition; If the first triggering condition is not met, then determine whether the suspended particulate matter pollution risk and the non-particulate matter pollution risk meet the second triggering condition. If the second triggering condition is not met, then determine whether the suspended particulate matter pollution risk, the non-particulate matter pollution risk, and the chemical scaling risk have reached the third triggering condition. When any of the triggering conditions in the sequential judgment logic is met, the integrated water and fertilizer system is controlled to enter the target enhanced control and blocking mode.

[0110] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0111] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0112] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for controlling clogging in an integrated water and fertilizer system, characterized in that, include: The real-time operating parameters of the integrated water and fertilizer system are obtained, and the risks of suspended particulate matter pollution, non-particulate matter pollution, and chemical scaling of the water and fertilizer mixture are determined based on the real-time operating parameters. Whether to trigger the target-enhanced control and blocking mode is determined by a sequential judgment logic, which includes: Determine whether the risk of suspended particulate matter pollution has reached the first triggering condition; If the first triggering condition is not met, then determine whether the suspended particulate matter pollution risk and the non-particulate matter pollution risk meet the second triggering condition. If the second triggering condition is not met, then determine whether the suspended particulate matter pollution risk, the non-particulate matter pollution risk, and the chemical scaling risk have reached the third triggering condition. When any triggering condition in the sequential judgment logic is met, the water and fertilizer integration system is controlled to enter the target enhanced control and blocking mode. The target enhanced clogging control mode includes an enhanced filtration mode for inhibiting chemical scaling; In the sequential judgment logic of the enhanced filtration mode, the first triggering condition is that the suspended particulate matter pollution risk is between a first risk threshold and a second risk threshold; the second triggering condition is that the suspended particulate matter pollution risk is less than a third risk threshold, and the non-particulate matter pollution risk is between a fourth risk threshold and a fifth risk threshold; the third triggering condition is that the suspended particulate matter pollution risk is less than the third risk threshold, the non-particulate matter pollution risk is between a sixth risk threshold and the fourth risk threshold, and the chemical scaling risk is between a seventh risk threshold and an eighth risk threshold. Wherein, the first risk threshold is less than the second risk threshold, the third risk threshold is less than the first risk threshold, the fourth risk threshold is less than the fifth risk threshold, the sixth risk threshold is less than the fourth risk threshold, and the seventh risk threshold is less than the eighth risk threshold; The target-enhanced clogging control mode also includes a self-maintenance mode for suppressing filter clogging; In the sequential judgment logic of the self-maintenance mode, the first triggering condition is that the suspended particulate matter pollution risk is greater than the second risk threshold; the second triggering condition is that the suspended particulate matter pollution risk is less than the third risk threshold, and the non-particulate matter pollution risk is greater than the fifth risk threshold; the third triggering condition is that the suspended particulate matter pollution risk is less than the third risk threshold, the non-particulate matter pollution risk is between the sixth risk threshold and the fourth risk threshold, and the chemical scaling risk is greater than the eighth risk threshold.

2. The clogging control method for the integrated water and fertilizer system according to claim 1, characterized in that, Also includes: Predict the remaining effective operating time and clogging probability of the filter; When at least one of the remaining effective operating time being less than a time threshold or the blockage probability being greater than a probability threshold occurs, the integrated water and fertilizer system is controlled to enter the self-maintenance mode.

3. The clogging control method for the integrated water and fertilizer system according to claim 1, characterized in that, Also includes: When the non-particulate matter pollution risk is between the third and fourth risk thresholds, the rate of increase of the non-particulate matter pollution risk is determined. When the growth rate exceeds the growth rate threshold, the integrated water and fertilizer system is controlled to enter the self-maintenance mode.

4. The clogging control method for the integrated water and fertilizer system according to claim 1, characterized in that, The real-time operating parameters include the real-time conductivity and pH value of the water-fertilizer mixture. Accordingly, determining the chemical scaling risk based on the real-time operating parameters includes: Determine the first deviation of the real-time conductivity value from the conductivity baseline and the second deviation of the real-time pH value from the pH baseline; The risk of chemical scaling is determined based on the first deviation, the second deviation, and the interactive coupling effect between the first deviation and the second deviation.

5. The clogging control method for the integrated water and fertilizer system according to claim 1, characterized in that, Controlling the integrated water and fertilizer system to enter the enhanced filtration mode includes: Activate the magnetization unit of the integrated water and fertilizer system; The integrated water and fertilizer system includes a fertilization unit, and the magnetization unit includes at least one of a first magnetization unit disposed upstream of the fertilization unit and a second magnetization unit disposed downstream of the fertilization unit.

6. The clogging control method for the integrated water and fertilizer system according to claim 1, characterized in that, Controlling the integrated water and fertilizer system to enter the self-maintenance mode includes: Activate the backwashing element on the filter and connect the drain pipe between the filter and the waste liquid storage tank.

7. A clogging control device for an integrated water and fertilizer system, characterized in that, include: The risk determination module is used to acquire the real-time operating parameters of the integrated water and fertilizer system, and to determine the suspended particulate matter pollution risk, non-particulate matter pollution risk, and chemical scaling risk of the water and fertilizer mixture based on the real-time operating parameters. The judgment module is used to determine whether to trigger the target enhanced control and blocking mode through sequential judgment logic, wherein the sequential judgment logic includes: Determine whether the risk of suspended particulate matter pollution has reached the first triggering condition; If the first triggering condition is not met, then determine whether the suspended particulate matter pollution risk and the non-particulate matter pollution risk meet the second triggering condition. If the second triggering condition is not met, then determine whether the suspended particulate matter pollution risk, the non-particulate matter pollution risk, and the chemical scaling risk have reached the third triggering condition. The control module is used to control the integrated water and fertilizer system to enter the target enhanced control and blocking mode when any triggering condition in the sequential judgment logic is met. The target enhanced clogging control mode includes an enhanced filtration mode for inhibiting chemical scaling; In the sequential judgment logic of the enhanced filtration mode, the first triggering condition is that the suspended particulate matter pollution risk is between a first risk threshold and a second risk threshold; the second triggering condition is that the suspended particulate matter pollution risk is less than a third risk threshold, and the non-particulate matter pollution risk is between a fourth risk threshold and a fifth risk threshold; the third triggering condition is that the suspended particulate matter pollution risk is less than the third risk threshold, the non-particulate matter pollution risk is between a sixth risk threshold and the fourth risk threshold, and the chemical scaling risk is between a seventh risk threshold and an eighth risk threshold. Wherein, the first risk threshold is less than the second risk threshold, the third risk threshold is less than the first risk threshold, the fourth risk threshold is less than the fifth risk threshold, the sixth risk threshold is less than the fourth risk threshold, and the seventh risk threshold is less than the eighth risk threshold; The target-enhanced clogging control mode also includes a self-maintenance mode for suppressing filter clogging; In the sequential judgment logic of the self-maintenance mode, the first triggering condition is that the suspended particulate matter pollution risk is greater than the second risk threshold; the second triggering condition is that the suspended particulate matter pollution risk is less than the third risk threshold, and the non-particulate matter pollution risk is greater than the fifth risk threshold; the third triggering condition is that the suspended particulate matter pollution risk is less than the third risk threshold, the non-particulate matter pollution risk is between the sixth risk threshold and the fourth risk threshold, and the chemical scaling risk is greater than the eighth risk threshold.

8. A water and fertilizer integrated system, characterized in that, Includes controller, main water supply pipeline, bypass pipeline and fertilizer suction pipeline; The main water pipeline is equipped with a fertilization unit, and multiple operating parameter acquisition devices are installed upstream and downstream of the fertilization unit. The operating parameter acquisition devices are used to determine the suspended particulate matter pollution risk, non-particulate matter pollution risk, and chemical scaling risk of the water-fertilizer mixture. At least one enhanced blockage control device is provided on the main water supply pipeline, and different enhanced blockage control devices correspond to different target enhanced blockage control modes; The bypass pipeline is connected across both ends of the fertilization unit, and a bypass valve is provided on the bypass pipeline; The first end of the fertilizer suction pipe is connected to the fertilizer tank, and the second end of the fertilizer suction pipe is connected to the fertilizer liquid inlet of the fertilization unit. Filters are installed on the fertilizer suction pipeline and the main water supply pipeline; The controller is used to execute the blockage control method of the integrated water and fertilizer system according to any one of claims 1-6.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the blockage control method for the integrated water and fertilizer system as described in any one of claims 1 to 6.

10. A non-transitory computer-readable storage medium, wherein a computer program is stored on the non-transitory computer-readable storage medium, characterized in that, When the computer program is executed by the processor, it implements the blockage control method for the integrated water and fertilizer system as described in any one of claims 1 to 6.

11. A computer program product, the computer program product comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the blockage control method for the integrated water and fertilizer system as described in any one of claims 1 to 6.

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