Water and fertilizer integrated remote control management system

By designing the integrated remote control management system of water and fertilizer, the use of sensors and intelligent control modules can be used to realize the precise mixing of water and fertilizer solution, solving the problem of low accuracy of small water and fertilizer machines, and improving agricultural production efficiency.

CN119344201APending Publication Date: 2025-01-24CHINA AGRI UNIV
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Patent Information

Application Number
CN202411484936.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-23
Publication Date
2025-01-24

AI Technical Summary

Technical Problem

Small water and fertilizer machines have low accuracy when mixing water and fertilizer solutions, making it difficult to achieve accurate mixing of water and fertilizer solutions, resulting in excessive fertilization and reducing agricultural production efficiency.

Method used

A water and fertilizer integrated remote control management system is designed, including water fertilizer, sensor modules, main control modules, and remote control terminals. Collect the EC and pH values ​​of the mixture through the sensor, use neural network modules, fuzzy processing modules, and modifying modules to calculate the optimal control parameters, control the opening of the regulating valve, and achieve precise mixing of the water and fertilizer solution.

Benefits of technology

It improves the accuracy of the concentration of water and fertilizer solution, avoids excessive fertilization, and achieves precise irrigation according to the needs of crop growth, and improves agricultural production efficiency.

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Abstract

The invention provides a water and fertilizer integrated remote control management system, and belongs to the technical field of agricultural irrigation. Comprising a control box, a water and fertilizer machine, an Internet of Things cloud platform and a remote control terminal, the control box comprises a sensor module, a main control module, a communication module and the like, and the control box is connected with the water and fertilizer machine and the Internet of Things cloud platform and used for monitoring the temperature, pH and EC value of a fertilizer aqueous solution in real time and achieving adjustment and management of irrigation and fertilization through local or remote control. The water and fertilizer machine comprises a sensor probe module, a water inlet pipeline module, a fertilizer suction pipeline module, a fertilizer outlet pipeline module and a water return pipeline module, and is used for executing a command issued by the control box, mixing a fertilizer water solution and conveying the mixed solution to a farmland for irrigation. The system is simple in structure and easy to operate, remote control and management can be achieved, the labor cost is reduced, farmers can irrigate proper-amount and proper-concentration fertilizer according to plant requirements, the water and fertilizer utilization rate is increased, and healthy growth of crops is achieved.
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Description

Technical Field

[0001] The invention belongs to the technical field of agricultural irrigation, and in particular relates to a water-fertilizer integrated remote control management system. Background Art

[0002] At present, most farmers do not have appropriate management and control technologies, so there are problems of over-irrigation and over-fertilization in farmland irrigation, resulting in low production efficiency and waste of resources.

[0003] Water-fertilizer integration achieves synchronous management and efficient use of water and fertilizer by mixing water-fertilizer solutions, which has many advantages, such as saving water resources and improving fertilizer utilization. At present, the small-scale water-fertilizer machines for individual farmers are not very intelligent, and the parameters considered in mixing water-fertilizer solutions are single, making it difficult to achieve accurate mixing of water-fertilizer solutions and adjust the water-fertilizer solutions according to crop growth needs. It is difficult to avoid overfertilization and improve agricultural production efficiency. Summary of the invention

[0004] In order to solve the problem of low precision in mixing water and fertilizer solutions by small-scale water and fertilizer machines, the present invention provides a water and fertilizer integrated remote control management system.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A water-fertilizer integrated remote control management system, comprising:

[0007] The water-fertilizer machine comprises a water outlet pipe and a fertilizer suction pipe connected with the water outlet pipe; a regulating valve is arranged on the fertilizer suction pipe.

[0008] The remote control terminal sets the EC value, pH value and fertilizer type required for irrigation according to crop growth needs.

[0009] The sensor module is used to collect the EC value and pH value of the mixed liquid in the outlet pipe.

[0010] A main control module is used to receive the EC value and pH value collected by the sensor module and the EC value, pH value and fertilizer type required for irrigation sent by the remote control terminal; the main control module includes a neural network module, a fuzzy processing module and a correction module, the neural network module is used to output the predicted value of water-fertilizer concentration according to the EC value, pH value, fertilizer type of the mixed solution and the EC value and pH value required for the set irrigation, the fuzzy module is used to perform fuzzy processing on the set error coefficient and the predicted value of the fertilizer solution concentration to obtain a control parameter correction amount, the correction module is used to calculate according to the control parameter correction amount and the optimal control parameter before correction, and output the optimal control parameter; generate a control instruction according to the optimal control parameter, and control the opening of the regulating valve according to the control instruction.

[0011] Preferably, the processing of the neural network module, the fuzzy module and the correction module is specifically as follows:

[0012] The neural network module is used to set the EC value and pH value required for irrigation, as well as the EC value, pH value, and fertilizer type of the mixed solution as input, and calculate the output value according to the network layer, that is, the predicted value of the water and fertilizer concentration at the next moment.

[0013] The fuzzy processing module inputs the error coefficient, error change rate coefficient and the predicted value of the water-fertilizer concentration input by the system into the fuzzy controller for fuzzy processing to obtain three control parameter correction amounts in PID control.

[0014] The correction module uses the control parameter correction amount and the optimal control parameter before correction as the parameter input of the PID controller to calculate the optimal control parameter in the PID control; the optimal control parameter before correction is calculated according to the objective function H=Σ(Px(t)+Qy(t)) of the particle swarm algorithm, where t represents the time scale, P and Q are weight matrices, x(t) is the vector of the water and fertilizer concentration state input by the sensor, and y(t) is the vector of the control input.

[0015] Preferably, a Venturi, a fertilizer suction solenoid valve, a double-union ball valve and a flow meter are sequentially arranged at one end of the fertilizer suction pipe connected to the water outlet pipe, and an inlet pipe is connected between the Venturi and the fertilizer suction solenoid valve; the Venturi is used to generate negative pressure to suck fertilizer and mix fertilizer; the flow meter is used to display the flow rate of the incoming fertilizer liquid; the regulating valve, specifically a double-union ball valve, is arranged on the fertilizer suction pipe, and the flow rate of fertilizer suction is controlled by controlling the opening size of the double-union ball valve.

[0016] Preferably, the Internet of Things cloud platform is also included to realize information interaction between the main control module and the remote control terminal.

[0017] Preferably, it also includes a communication module, which is specifically a serial communication module, a Wi-Fi module, a communication module and an IIC communication module. The serial communication module is used to debug the program, download the debugged code to the main control module through the serial port, and enable the main control module to execute commands; the Wi-Fi module is used for the main control module to receive commands issued by a remote terminal device when there is an Internet connection; the communication module transmits the data collected by the sensor to the main control template.

[0018] Preferably, the sensor module includes an EC sensor probe, a pH sensor probe and a temperature sensor module.

[0019] Preferably, the remote control terminal is a WeChat applet. The WeChat applet is entered by scanning the QR code on the distribution box, the account number and password are entered to connect, and the required operation is selected. The operation instructions are forwarded to the main control module through the Internet of Things platform.

[0020] Preferably, the water inlet pipe is provided with an intelligent water meter I and a pressure gauge; the intelligent water meter I is used to measure the water inlet flow rate of the water inlet pipe and send the water inlet flow rate data to the main control module.

[0021] Preferably, it also includes a centrifugal pump connected to the water outlet pipe for transmitting the water-fertilizer solution to the farmland for irrigation.

[0022] The water-fertilizer integrated remote control management system provided by the present invention has the following beneficial effects:

[0023] The present invention collects the EC value and pH value of the mixed liquid in the water outlet pipe by setting a sensor, considers the influence of multiple parameters on the concentration of the water-fertilizer solution, and improves the accuracy of the predicted value. According to the crop growth requirements, the EC value, pH value and fertilizer type of the irrigation fertilizer required for crop growth are set in the remote control terminal, and the predicted value of the water-fertilizer concentration is obtained by using the neural network module in the main control module, and then the optimal control parameters are calculated and output by the fuzzy processing module and the correction module to generate instructions. The fuzzy processing module and the correction module can provide a more stable control effect in a dynamic environment, and the opening of the regulating valve is controlled according to the instructions to achieve accurate mixing of the water-fertilizer solution, avoid excessive fertilization, and the operation is simple, helping farmers to achieve remote control of accurate mixed fertilizer irrigation according to the crop growth conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiment of the present invention and its design scheme, the following briefly introduces the drawings required for this embodiment. The drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0026] Figure 2 It is a front schematic diagram of the control box in the embodiment of the present invention.

[0027] Figure 3 Schematic diagram of the internal structure of the control box in an embodiment of the present invention.

[0028] Figure 4 It is a schematic diagram of the overall structure of the water-fertilizer machine of the present invention.

[0029] Figure 5 It is a front schematic diagram of the water-fertilizer machine structure in the present invention.

[0030] Figure 6 It is a side schematic diagram of the water-fertilizer machine structure in the present invention.

[0031] Figure 7 It is a schematic diagram of the power supply module in the present invention.

[0032] Figure 8 It is a schematic diagram of the overall structure of the main control module in the present invention.

[0033] Fig. 9 It is a flowchart of the remote device operation in the present invention.

[0034] Fig.10 This is the principle diagram of the fuzzy PID controller in the present invention.

[0035] Fig.11 It is a schematic structural diagram of the return water pipe module in the present invention.

[0036] Description of reference numerals:

[0037] 1-control box, 101-distribution box, 102-LCD display screen, 103-main switch button, 104-local control module, 105-sensor module, 106-water pump control module, 107-solenoid valve control module, 108-main control module, 109-air switch, 110-AC contactor; 2-water inlet pipe, 201-smart water meter 1, 202-pressure gauge; 3-water outlet pipe, 301-isolated Heart pump, 302-fertilizer mixing pipeline, 303-EC sensor probe, 304-pH sensor probe; 4-fertilizer suction pipeline, 401-solenoid valve module, 402-flow meter, 403-Venturi, 404-Venturi water inlet section, 405-Venturi fertilizer outlet section, 406-Venturi fertilizer suction end, 407-double Union ball valve; 5-return water pipeline, 501-return water pipeline, 502-smart water meter, 503-return water bucket. DETAILED DESCRIPTION

[0038] In order to enable those skilled in the art to better understand the technical solution of the present invention and implement it, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the scope of protection of the present invention.

[0039] In the description of the present invention, it is to be understood that the terms “center”, “longitudinal”, “lateral”, “length”, “width”, “thickness”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, “axial”, “radial”, “circumferential”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the technical solutions of the present invention and 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 cannot be understood as a limitation on the present invention.

[0040] In addition, the terms "first", "second", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance. In the description of the present invention, it should be noted that, unless otherwise clearly specified or limited, the terms "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. In the description of the present invention, unless otherwise specified, "plurality" means two or more, which will not be described in detail here.

[0041] Example

[0042] The present invention provides a remote control management system for water and fertilizer integration. Figure 1 As shown, it specifically includes: a control box 1, a water and fertilizer machine, an Internet of Things cloud platform and a remote control terminal.

[0043] Water and fertilizer machine, such as Figure 4 , Figure 5 and Figure 6 As shown, the water fertilizer machine includes an inlet pipe 2, a fertilizer suction pipe 4, an outlet pipe 3, and a return pipe 5. The inlet pipe 2 includes an intelligent water meter I 201 and a pressure gauge 202; the inlet flow data of the intelligent water meter I 201 is uploaded to the main control module 108; the pressure gauge 202 is installed on the inlet pipe to measure the inlet pressure of the pipe, and the inlet pipe 2 connects the water source and the return end of the return pipe 5. The fertilizer suction pipe 4 connects the inlet pipe 2 and the outlet pipe 3 through a venturi 403; the outlet pipe 3 is used for fertilization and irrigation.

[0044] The fertilizer absorption pipeline 4 includes a solenoid valve module 401, a flow meter 402, a venturi 403 and a double union ball valve 407. The solenoid valve module 401 includes a liquid inlet and a liquid outlet. The liquid inlet of the solenoid valve module 401 is connected to the liquid outlet of the double union ball valve 407 for absorbing the fertilizer mother liquid. The liquid outlet of the solenoid valve module 401 is connected to the fertilizer absorption end of the venturi 403. The liquid outlet of the flow meter 402 is connected to the liquid inlet of the double union ball valve 407 for displaying the flow rate of the fertilizer liquid. The liquid inlet of the flow meter 402 is connected to the fertilizer liquid mother barrel for absorbing the fertilizer mother liquid. The venturi water inlet section 404 is connected to the water inlet pipe 2 through a three-way pipe, which is used to generate negative pressure to absorb fertilizer and mix fertilizer. The fertilizer outlet end of the venturi 403 is connected to the water outlet pipe 3, and the venturi fertilizer outlet section 405 is connected to the fertilizer mixing pipe 302 through a three-way pipe. The venturi fertilizer suction end 406 is connected to the liquid outlet end of the electromagnetic valve module 401 to absorb the fertilizer mother liquid. The water inlet end of the double union ball valve 407 is connected to the water outlet end of the flow meter 402. By adjusting the opening size of the valve, the flow rate of fertilizer absorption can be controlled. The electromagnetic valve module 401, the flow meter 402 and the double union ball valve 407 are two sets with the same function and used in conjunction with each other. They can be connected to 2 different fertilizer mother liquids through an external pipe for absorbing different fertilizers. The opening and closing of the electromagnetic valve module 401 is controlled by the electromagnetic valve control module 107.

[0045] The water outlet pipeline 3 includes a fertilizer mixing pipeline 302, a centrifugal pump 301, an EC sensor probe 303, and a pH sensor probe 304. The fertilizer mixing pipeline 302 is connected to the water outlet of the venturi 403, and the liquid inlet of the centrifugal pump 301 is connected to the fertilizer mixing pipeline 302. The liquid outlet of the centrifugal pump 301 is connected to an external irrigation pipeline, and the EC sensor probe and the pH sensor probe are placed on the irrigation pipeline to monitor the soluble salt concentration EC value and pH value of the fertilizer solution.

[0046] Return pipe module 5 Fig.11 As shown, it includes a return pipe 501, a smart water meter II 502 and a return bucket 503. The return pipe 501 is the rear connection pipe of the irrigation line, which is responsible for collecting the water and fertilizer residue generated during irrigation; the smart water meter II 502 records the collected water and fertilizer residue flow in real time, sends the water and fertilizer residue flow data to the main control module 108 through the IIC protocol, and discharges the water and fertilizer residue into the water inlet pipe module 2 at a fixed time.

[0047] Control box 1, such as Figure 2 and Figure 3As shown, the control box 1 includes a distribution box 101, an LCD display screen 102, a main switch button 103, a local control module 104, a sensor module 105, a water pump control module 106, a solenoid valve control module 107, a communication module, a main control module 108, a power supply module, an air switch 109, and an AC contactor 110. The LCD display screen 102, the main switch button 103, and the local switch button 104 are embedded on the outer side of the distribution box 101. The sensor module 105, the water pump control module 106, the solenoid valve control module 107, the communication module, the main control module 108, the air switch 109, and the AC contactor 110 are all installed in the distribution box 101. The main switch button 103 is connected to the air switch 109 to control the opening and closing of the main power supply. The sensor module 105 includes an EC sensor module, a pH sensor module, a temperature sensor module, a data processing module, and a data transmission module. The data of the sensor is the voltage monitored by the EC sensor probe 303 and the pH sensor probe 304, which is amplified and processed by the data processing module, and the analog signal is converted into a digital signal for processing to obtain an accurate value. The data transmission module transmits the processed data to the main control module 108 through 485 communication. The main control module 108 receives the data collected by the sensor module 105 for processing and storage. After the data processing is completed, the data information is transmitted to the LCD display screen 102 for display and to the Internet of Things cloud platform for display on the device terminal through the communication module. The local control module 104 can control the solenoid valve control module 107 and the water pump control module 106 to achieve fertilizer absorption and irrigation through the opening and closing of the local manual control button. The water pump control module 106 controls the start and stop of the centrifugal pump 301 by the solenoid valve control module 107 by controlling the on and off of the AC contactor 110.

[0048] The communication module includes a serial communication module, a Wi-Fi module, a 485 communication module, and an IIC communication module. The serial communication module is mainly used to debug the program, and download the debugged code to the main control module 108 through the serial port, so that the main control module 108 executes the default command, including reading the data of the sensor module 105, waiting for control instructions, etc. The Wi-Fi module is used for the control operation of the system under the WiFi state. The 485 communication module transmits the data collected by the sensor module 105 to the main control module 108. The IIC communication module displays the sensor data collected in the main control module 108 on the LCD display 102, and when there is no Internet connection, the local control module 104 can control the opening and closing of the solenoid valve control module 107 through the IIC protocol to perform fertilization and irrigation locally.

[0049] The main control module 108 is as follows Figure 8As shown, it includes a Wi-Fi chip ESP32-S3, a storage module, a clock module, and a data transmission module. The Wi-Fi module is used to report data to the IoT cloud platform and receive commands issued by the IoT cloud platform under Wi-Fi conditions. The storage module mainly stores the received data in the internal memory for subsequent use and analysis. The clock module provides the system's clock signal for synchronizing the time series of data acquisition. The data transmission module is used to download the debugged program to the main control template 108 to execute instructions.

[0050] The main control module 108 also includes a neural network module, a fuzzy processing module and a correction module. The processing process of the neural network module is as follows: a BP neural network is used, which includes three layers: an input layer, a hidden layer and an output layer. Since the main function of the neural network is to predict the fertilizer concentration at the next moment by setting the expected fertilizer concentration and the control parameter information, the system input Rin(t) (expected fertilizer concentration) and the system output Yout(t) (actual fertilizer concentration) are used as the input layer of the neural network; the hidden layer is set to have 5 nodes, and its transfer function uses the sigmoid function, then the output formula of the hidden layer is: Among them, k = 1, 2, ... q, n is the number of input layer nodes, x i is the s-type activation function of the input layer, u ki is the weight from input layer node i to hidden layer node k, q is the number of hidden layer nodes; the output layer is set to have 1 node, the number of output nodes is 1, and its transfer function also uses sigmoid function. The output of the output layer is where w kj The weight from hidden layer node k to output layer node j. At this time, the output value is the predicted value M of the fertilizer solution concentration at the next moment.

[0051] The fuzzy processing module processing process is as follows: the error coefficient e(t) (the difference between the fertilizer solution concentration value fed back by the sensor feedback system at the current moment and the expected fertilizer solution concentration value), the error change rate coefficient de(t) / d(t) and the predicted value M of the BP neural network are input into the fuzzy controller for parameter fuzzification, fuzzy reasoning and defuzzification, and the three control parameter correction values ​​Δk in PID control are obtained. p , Δk i , Δk d .

[0052] The specific processing process of the correction module is as follows: the PSO control algorithm, i.e. the particle swarm algorithm, is used to calculate the optimal control parameters k before the three corrections in the PID control in real time through its objective function H = Σ(Px(t) + Qy(t)) p , k i , kd Three parameters, where t represents the time scale, P and Q are weight matrices, x(t) is the vector of the current state of the system, and y(t) is the vector of the control input. Then, according to the above BP neural network, the three control parameter corrections Δk are obtained. p , Δk i , Δk d The optimal control parameter k before correction is solved with PSO control algorithm p , k i , k d As the parameter input of the PID controller, according to the formula k p0 =k p +Δk p , k i0 =k i +Δk i , k d0 =k d +Δk d Get the three optimal control parameters k in PID control p0 , k i0 , k d0 , and then generate the best control strategy to accurately control the controlled object.

[0053] Power supply module such as Figure 7 As shown, it includes a 220V AC to 12V DC switching power supply, a 12V DC to 5V DC module, and a 5V DC to 3.3V DC module; wherein the 220V AC is used to power the centrifugal pump 301; the 12V DC power supply is used to power the solenoid valve module 401 and the sensor module 105; the 5V DC is used to power the main control module 108; and the 3.3V DC module is used to power the local control module 104.

[0054] The IoT cloud platform is used for information exchange between the remote control terminal and the control box 1 and is responsible for issuing and reporting commands.

[0055] Remote control terminal, such as Fig. 9 As shown, it is a flowchart of the operation of the remote device end. The user can set the EC value and pH value of the irrigation fertilizer according to the needs of crop growth. The main control module 108 automatically adjusts the EC value and pH value in the fertilizer mixing pipeline 302 measured by the EC sensor probe 303 and the pH sensor probe 304 according to the neural network module, the fuzzy processing module and the correction module to stabilize the EC value and pH value in the fertilizer mixing pipeline 302 to the set requirements. In order to realize remote control irrigation, the remote control terminal is specifically a WeChat applet.

[0056] The present invention realizes the selection of three-way irrigation pipelines through the local control module 104. The user can set the irrigation pipeline according to his own pipeline layout and the number of greenhouses, and can realize the continuous irrigation of up to three greenhouses. The user can select the type of fertilizer and the ratio of fertilizer absorption according to the needs of crop growth, and can enable up to two solenoid valve modules 401 to absorb fertilizer at the same time. The current working status of the water and fertilizer machine is displayed in real time. The user can view the real-time sensor data, the working status of the fertilizer absorption solenoid valve and the irrigation channel on the WeChat applet.

[0057] It should be pointed out that the specific implementation methods described above can enable those skilled in the art to understand the invention more comprehensively, but do not limit the invention in any way. Therefore, although the invention has been described in detail in this specification and embodiments, those skilled in the art should understand that the invention can still be modified or replaced by equivalents; and all technical solutions and improvements that do not deviate from the spirit and scope of the invention are included in the protection scope of the patent for the invention. Any figure mark in the claims should not be regarded as limiting the claims involved. Any simple change or equivalent replacement of the technical solution that can be obviously obtained by any technician familiar with the field within the technical scope disclosed in the present invention belongs to the protection scope of the present invention.

Claims

1. A water-fertilizer integrated remote control management system, characterized in that: include: A water-fertilizer machine comprises a water outlet pipe (3) and a fertilizer suction pipe (4) connected to the water outlet pipe (3); a regulating valve is arranged on the fertilizer suction pipe (4); The remote control terminal sets the EC value, pH value and fertilizer type required for irrigation according to the crop growth needs; A sensor module (105) is used to collect the EC value and pH value of the mixed liquid in the water outlet pipe (3); A main control module (108) is used to receive the EC value and pH value collected by the sensor module (105) and the EC value, pH value and fertilizer type required for irrigation sent by the remote control terminal; the main control module (108) includes a neural network module, a fuzzy processing module and a correction module, the neural network module is used to output a predicted value of water-fertilizer concentration according to the EC value, pH value, fertilizer type of the mixed solution and the set EC value and pH value required for irrigation, the fuzzy module is used to perform fuzzy processing on the set error coefficient and the predicted value of the fertilizer solution concentration to obtain a control parameter correction amount, the correction module is used to calculate according to the control parameter correction amount and the optimal control parameter before correction, and output the optimal control parameter; generate a control instruction according to the optimal control parameter, and control the opening of the regulating valve according to the control instruction.

2. A water-fertilizer integrated remote control management system according to claim 1, characterized in that: The processing process of the neural network module, fuzzy module and correction module is specifically as follows: The neural network module is used to set the EC value and pH value required for irrigation, as well as the EC value, pH value, and fertilizer type of the mixed solution as input, and calculate the output value according to the network layer, that is, the predicted value of the water and fertilizer concentration at the next moment; The fuzzy processing module inputs the error coefficient, error change rate coefficient and the predicted value of the water-fertilizer concentration input by the system into the fuzzy controller for fuzzy processing to obtain three control parameter correction values ​​in PID control; The correction module uses the control parameter correction amount and the optimal control parameter before correction as the parameter input of the PID controller to calculate the optimal control parameter in the PID control; the optimal control parameter before correction is calculated according to the objective function H=Σ(Px(t)+Qy(t)) of the particle swarm algorithm, where t represents the time scale, P and Q are weight matrices, x(t) is the vector of the water and fertilizer concentration state input by the sensor, and y(t) is the vector of the control input.

3. A water-fertilizer integrated remote control management system according to claim 1, characterized in that: A venturi (403), a fertilizer suction electromagnetic valve, a double union ball valve (407) and a flow meter (402) are sequentially arranged at one end of a fertilizer suction pipeline (4) connected to the water outlet pipeline (3); a water inlet pipeline (2) is connected between the venturi (403) and the fertilizer suction electromagnetic valve; the venturi is used to generate negative pressure to suction fertilizer and mix fertilizer; the flow meter is used to display the flow rate of the incoming fertilizer liquid; the fertilizer suction pipeline (4) is provided with a regulating valve, specifically a double union ball valve, and the flow rate of the fertilizer suction is controlled by controlling the opening size of the double union ball valve.

4. A water-fertilizer integrated remote control management system according to claim 1, characterized in that: It also includes the Internet of Things cloud platform, which is used to realize information interaction between the main control module (108) and the remote control terminal.

5. The water-fertilizer integrated remote control management system according to claim 1, characterized in that: The system also includes a communication module, which is specifically a serial communication module, a Wi-Fi module, a 485 communication module and an IIC communication module. The serial communication module is used to debug the program and download the debugged code to the main control module (108) through the serial port, so that the main control module (108) executes the command; the Wi-Fi module is used to enable the main control module (108) to receive the command issued by the remote terminal device when there is an Internet connection; and the 485 communication module transmits the data collected by the sensor to the main control template (108).

6. A water-fertilizer integrated remote control management system according to claim 1, characterized in that: The sensor module (105) includes an EC sensor probe (303), a pH sensor probe (304) and a temperature sensor module.

7. The water-fertilizer integrated remote control management system according to claim 1, characterized in that: The remote control terminal is a WeChat applet. The WeChat applet is entered by scanning the QR code on the distribution box (101), the account number and password are entered to connect, and the operation to be performed is selected. The operation instruction is forwarded to the main control module (108) through the Internet of Things platform.

8. The water-fertilizer integrated remote control management system according to claim 3, characterized in that: The water inlet pipe (2) is provided with an intelligent water meter I (201) and a pressure gauge (202); the intelligent water meter I (201) is used to measure the water inlet flow rate of the water inlet pipe (2) and simultaneously sends the water inlet flow rate data to the main control module (108).

9. The water-fertilizer integrated remote control management system according to claim 1, characterized in that: It also includes a centrifugal pump (301) connected to the water outlet pipe (3) and used for transmitting the water fertilizer solution to the farmland for irrigation.

Citation Information

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