Remote automatic irrigation control method and system for farmland pump station

Abstract

The invention discloses a remote automatic irrigation control method and system for a farmland pump station, and relates to the technical field of intelligent control. The method comprises the following steps: reading pool liquid level sensing data of a farmland pump station according to a pre-arranged liquid level sensing array; carrying out credible optimization fusion on the pool liquid level sensing data to obtain credible liquid level parameters; the credible liquid level parameters are input into a pump filling protection logic device, and a pump filling protection logic instruction and a liquid level deviation coefficient are obtained; when the pump filling protection logic instruction is first protection logic, constructing a first pump filling protection branch; when the pump filling protection logic instruction is second protection logic, constructing a second pump filling protection branch; based on the liquid level deviation coefficient, self-adaptive optimization decision making is conducted on the first pump filling protection branch and the second pump filling protection branch, and a pump station control optimization strategy is obtained. The technical problem that in the prior art, farmland pump station irrigation control is not intelligent enough is solved, and the technical effect that farmland pump station irrigation control is intelligent is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control, and particularly relates to a method and system for remote automatic irrigation control of a farmland pumping station. Background Art

[0002] Traditional irrigation control methods for farmland pumping stations usually rely on manual operation or fixed preset irrigation modes, and cannot perform dynamic adjustment according to actual water level changes and environmental factors, resulting in waste of water resources or uneven irrigation, and further affecting the growth and yield of crops. In addition, most of the existing pump protection systems lack intelligent real-time monitoring and adaptive adjustment functions, and it is difficult to cope with complex irrigation requirements and sudden problems. Therefore, how to improve the intelligent level of irrigation control of farmland pumping stations and ensure rapid equipment response and reliable control during the irrigation process has become a technical problem to be solved urgently. Summary of the Invention

[0003] This application provides a method and system for remote automatic irrigation control of a farmland pumping station, which solves the technical problem of insufficient intelligence in irrigation control of farmland pumping stations in the prior art.

[0004] In the first aspect of this application, a method for remote automatic irrigation control of a farmland pumping station is provided. The method includes:

[0005] Reading the water tank liquid level sensing data of the farmland pumping station according to a pre-laid liquid level sensing array, where the farmland pumping station includes a water tank, a pump protector, and multiple pumping station devices; performing credible optimization fusion on the water tank liquid level sensing data according to the liquid level sensing array to obtain credible liquid level parameters; inputting the credible liquid level parameters into a pump protection logic unit to obtain a pump protection logic instruction and a liquid level deviation coefficient; when the pump protection logic instruction is the first protection logic, combining the pump protector and multiple pumping station devices to construct a first pump protection branch; when the pump protection logic instruction is the second protection logic, combining the pump protector and multiple pumping station devices to construct a second pump protection branch; based on the liquid level deviation coefficient, performing adaptive optimization decision-making on the first pump protection branch and the second pump protection branch to obtain a pumping station control optimization strategy.

[0006] In the second aspect of this application, a system for remote automatic irrigation control of a farmland pumping station is provided. The system includes:

[0007] A data acquisition module is used to read the water level sensing data of the water tank of the farmland pumping station according to a pre-laid water level sensing array. The farmland pumping station includes a water tank, a pump protection device, and multiple pumping station devices. An optimization and fusion module is used to perform credible optimization and fusion on the water level sensing data of the water tank according to the water level sensing array to obtain credible water level parameters. An instruction acquisition module is used to input the credible water level parameters into a pump protection logic controller to obtain a pump protection logic instruction and a water level deviation coefficient. A first branch construction module is used to construct a first pump protection branch by combining the pump protection device and multiple pumping station devices when the pump protection logic instruction is a first protection logic. A second branch construction module is used to construct a second pump protection branch by combining the pump protection device and multiple pumping station devices when the pump protection logic instruction is a second protection logic. An optimization decision module is used to perform adaptive optimization decision on the first pump protection branch and the second pump protection branch based on the water level deviation coefficient to obtain a pumping station control optimization strategy.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] First, according to a pre-laid water level sensing array, the water level sensing data of the water tank of the farmland pumping station is read. The farmland pumping station includes a water tank, a pump protection device, and multiple pumping station devices. Then, credible optimization and fusion are performed on the water level sensing data of the water tank according to the water level sensing array to obtain credible water level parameters. Next, the credible water level parameters are input into a pump protection logic controller to obtain a pump protection logic instruction and a water level deviation coefficient. When the pump protection logic instruction is a first protection logic, a first pump protection branch is constructed by combining the pump protection device and multiple pumping station devices; when the pump protection logic instruction is a second protection logic, a second pump protection branch is constructed by combining the pump protection device and multiple pumping station devices. Finally, adaptive optimization decision is performed on the first pump protection branch and the second pump protection branch based on the water level deviation coefficient to obtain a pumping station control optimization strategy. This solves the technical problem of insufficient intelligence in the irrigation control of farmland pumping stations in the prior art and achieves the technical effect of realizing the intelligent irrigation control of farmland pumping stations. Description of the Drawings

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0011] Figure 1 It is a schematic flow chart of a method for remotely and automatically controlling the irrigation of a farmland pumping station provided in an embodiment of this application;

[0012] Figure 2 Schematic diagram of the structure of a remote automatic irrigation control system for a farmland pumping station provided by an embodiment of the present application.

[0013] Explanation of reference numerals: data acquisition module 11, optimization and fusion module 12, instruction acquisition module 13, first branch construction module 14, second branch construction module 15, optimization decision-making module 16. Detailed implementation manners

[0014] By providing a method and system for remote automatic irrigation control of a farmland pumping station, the present application solves the technical problem of insufficient intelligence in the irrigation control of farmland pumping stations in the prior art.

[0015] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0016] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server including a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0017] Embodiment 1, as Figure 1 shown, the present application provides a method for remote automatic irrigation control of a farmland pumping station, wherein the method includes:

[0018] Read the water tank liquid level sensing data of the farmland pumping station according to a pre-laid liquid level sensing array, where the farmland pumping station includes a water tank, an irrigation pump protector, and a plurality of pumping station devices.

[0019] In the embodiment of the present application, according to a pre-laid liquid level sensing array, the water tank liquid level sensing data of the farmland pumping station is read. The farmland pumping station includes a water tank, an irrigation pump protector, and a plurality of pumping station devices. The liquid level sensing array refers to a plurality of liquid level sensors pre-laid in the water tank. These sensors are evenly installed at different positions in the water tank to monitor the liquid level change in the water tank in real time. Each liquid level sensor can sense the water level height and transmit the detected liquid level data to the pumping station control system through a communication interface (such as RS485).

[0020] The pump priming protector is a device used to protect the pump station equipment in the farmland pump station. The pump priming protector ensures the safe and efficient operation of the pump station equipment (such as double-suction pumps, electric butterfly valves, solenoid valves, vacuum pumps, etc.) during the working process through automatic control. The coordinated action of the pump priming protector and other equipment (double-suction pumps, electric butterfly valves, solenoid valves, remote pressure gauges, vacuum pumps, negative pressure sensors, and constant pressure control cabinets) ensures that the pump station equipment can automatically adjust its operating state according to the changes in the water tank level or other monitoring parameters, thereby achieving efficient and stable pump control.

[0021] The hardware part of the pump priming protector includes a housing, a display device, and an electrical part. The housing is a cuboid structure made of galvanized sheet with dimensions of 760*280*1080mm. The display device is a 10-inch touch screen set on the front of the housing. Users can start and stop the equipment and view real-time data through the touch screen, and this touch screen has a password protection function to prevent misoperation.

[0022] The industrial computer built into the pump priming protector is responsible for collecting and processing sensor data and implementing control logic. The 4G communication module is used to realize data communication with the cloud and support remote monitoring and control. Through the RS485 interface, the pump priming protector can connect to and read the operating data of the frequency converter, such as voltage, frequency, current, pressure, etc., and can also detect the equipment status and fault information to ensure the stable operation of the system.

[0023] The pump priming protector ensures that the double-suction pump can be normally started and pumped water whether the water tank level is high or low through logical control. Specifically, when the water tank level is higher than the set value (beyond the double-suction pump pipeline), the water will automatically flow into the pipeline and fill the pump cavity, and at this time, the double-suction pump can be directly started to pump water. If the water tank level is lower than the height of the double-suction pump pipeline, the pump priming protector first closes the electric butterfly valve to form a sealed body among the pump, pipeline, and reservoir; then, the air in this sealed body is evacuated through the vacuum pump, so that the water can be pressed into the double-suction pump cavity; during this process, the vacuum pump will continue to operate until the vacuum negative pressure in the pipeline reaches the set value. At this time, the pump priming protector precisely controls the pressure after the double-suction pump by adjusting the opening of the butterfly valve to avoid the rapid release of water pressure; after the double-suction pump has completely pumped water, the pump priming protector will fully open the electric butterfly valve and close the vacuum pump, thus completing the normal start and operation of the water pump. In addition, the pump priming protector also has a fault alarm function. When situations such as vacuum pumping failure, communication failure, and pressure not reaching the set value occur, it will display the fault through the touch screen and Web / APP and report relevant information.

[0024] The pump priming protector ensures that the double-suction pump can be reliably started and pumped water whether the water tank level is high or low through automatic monitoring and control, replacing the traditional manual observation and multiple test operations, avoiding manual intervention, and improving the automatic control level of the pump station.

[0025] Perform a credible optimization fusion on the water tank liquid level sensing data according to the liquid level sensing array to obtain credible liquid level parameters.

[0026] The liquid level sensing array is composed of multiple liquid level sensors, which are distributed at different positions of the water tank and collect the liquid level data of the water tank in real time. In the embodiment of the present application, the status data of each sensor is read and its credibility is evaluated, the liquid level data that meets the predetermined credibility is screened out, and is added to the credible optimization liquid level space; by fusing and calculating these highly credible data, accurate credible liquid level parameters are generated to ensure the accuracy and reliability of the liquid level data and provide an accurate decision-making basis for the pump station control.

[0027] Furthermore, performing a credible optimization fusion on the water tank liquid level sensing data according to the liquid level sensing array to obtain credible liquid level parameters includes:

[0028] Read the status parameters of the liquid level sensing array according to each real-time water tank liquid level parameter in the water tank liquid level sensing data to obtain multiple sensor status data; perform liquid level sensing credibility detection according to the multiple sensor status data to obtain multiple liquid level sensing credibilities; screen the water tank liquid level sensing data according to the multiple liquid level sensing credibilities to obtain a credible optimization liquid level space that meets the predetermined credibility; perform fusion calculation according to the credible optimization liquid level space to generate the credible liquid level parameters.

[0029] Preferably, according to each real-time water tank liquid level parameter in the water tank liquid level sensing data, the system reads the status parameters of the liquid level sensing array to obtain multiple sensor status data. Specifically, each sensor in the liquid level sensing array collects the water tank liquid level data in real time and transmits these data to the control system; the system evaluates the status of each sensor and reads its working status parameters, such as the response time and data stability of the sensor. Perform liquid level sensing credibility detection according to the multiple sensor status data, that is, evaluate the data quality of each sensor to obtain multiple liquid level sensing credibilities. Screen the water tank liquid level sensing data according to the multiple liquid level sensing credibilities. Specifically, the system adds the real-time water tank liquid level parameters corresponding to the liquid level sensing credibilities greater than or equal to the predetermined credibility to the credible optimization liquid level space, thereby removing the sensor data with lower credibility and ensuring the accuracy and reliability of the liquid level data. The system performs fusion calculation based on the credible optimization liquid level space, and obtains the credible liquid level parameters by weighted averaging the water tank liquid level parameters in the credible optimization liquid level space.

[0030] Furthermore, performing liquid level sensing credibility detection according to the multiple sensor status data to obtain multiple liquid level sensing credibilities includes:

[0031] Anomaly recognition is performed based on the multiple sensor status data to obtain multiple sensing status anomaly recognition results; using the sensing status anomaly recognition sample set as the input information and the liquid level sensing credible sample set as the output information, the Transformer model is supervised and trained to obtain a liquid level sensing credibility evaluation model; the multiple sensing status anomaly recognition results are input into the liquid level sensing credibility evaluation model to output the multiple liquid level sensing credibility levels.

[0032] Preferably, the system performs anomaly recognition based on multiple sensor status data to detect whether the working status of each sensor is normal, including the stability and response time of the sensor; by analyzing the data change trend of the sensor, the system can identify those sensors that may be abnormal or inaccurate and record their anomaly recognition results. The system combines the sensing status anomaly recognition results with the liquid level sensing credible sample set and uses these data to supervise and train the Transformer model. The Transformer model is a deep learning-based model that can effectively identify the relationship between the sensor status and the liquid level data by learning the patterns in the sample set; the trained liquid level sensing credibility evaluation model can automatically evaluate the credibility of each sensor, thereby improving the accuracy of the liquid level data. The system inputs the obtained multiple sensing status anomaly recognition results into the liquid level sensing credibility evaluation model, and through model calculation, outputs the liquid level sensing credibility of each sensor. The liquid level sensing credibility reflects the working reliability and data accuracy of each sensor, thereby providing a basis for subsequent data screening and fusion to ensure that the generated liquid level parameters have high credibility and accuracy.

[0033] Input the credible liquid level parameter into the pump filling protection logic device to obtain a pump filling protection logic instruction and a liquid level deviation coefficient.

[0034] In the embodiment of the present application, input the credible liquid level parameter into the pump filling protection logic device to generate a pump filling protection logic instruction and a liquid level deviation coefficient, where the liquid level deviation coefficient refers to the difference between the credible liquid level parameter and the set liquid level. Specifically, the pump filling protection logic device determines the liquid level status of the current water tank based on the input credible liquid level parameter and generates a corresponding pump filling protection instruction according to the preset control logic.

[0035] Furthermore, the pump filling protection logic device includes a pump filling protection logic operator, and the pump filling protection logic operator includes: when the credible liquid level parameter is greater than the set liquid level, output the first protection logic; when the credible liquid level parameter is less than the set liquid level, output the second protection logic; when the credible liquid level parameter is equal to the set liquid level, generate a liquid level continuous monitoring signal.

[0036] The priming pump protection logic device includes a priming pump protection logic operator, which outputs different protection logic instructions by comparing the reliable liquid level parameter with the set liquid level. Specifically: when the reliable liquid level parameter is greater than the set liquid level, the first protection logic is output. The first protection logic means that when the system determines that the liquid level of the water tank has exceeded the set value, that is, when the liquid level of the water tank is higher than the double-suction pump pipeline, the priming pump protector drives the constant pressure control cabinet to start the double-suction pump for irrigation through the RS485 interface. When the reliable liquid level parameter is less than the set liquid level, the second protection logic is output. The second protection logic means that when the system detects that the liquid level of the water tank is lower than the set value, that is, when the liquid level of the water tank is lower than the height of the double-suction pump pipeline, the electric butterfly valve is closed to cut off the filter and the pipeline at the back end, thus forming a small closed space including the butterfly valve - double-suction pump - pipeline - reservoir; then, the solenoid valve is opened to start the vacuum pump, and when the data of the negative pressure sensor shows lower than the set negative pressure value, the double-suction pump is started to supplement water; subsequently, the system checks whether the pressure reaches the set value through the data of the remote pressure gauge. If the vacuum negative pressure in the pipeline reaches the set value, at this time, the priming pump protector precisely controls the pressure after the double-suction pump by adjusting the opening of the butterfly valve to avoid the water pressure being released too quickly; after the double-suction pump has completely pumped water, the priming pump protector will fully open the electric butterfly valve and close the vacuum pump, thus completing the normal start-up and operation of the water pump.

[0037] When the priming pump protection logic instruction is the first protection logic, a first priming pump protection branch is constructed by combining the priming pump protector and multiple pumping station devices.

[0038] When the priming pump protection logic instruction is the first protection logic, the system constructs a first priming pump protection branch according to this logic instruction by combining the priming pump protector and multiple pumping station devices. Specifically, the first protection logic instruction indicates that the liquid level of the water tank has exceeded the set liquid level, and the system will start the pumping station devices for irrigation. In this case, the priming pump protector is connected to the constant pressure control cabinet through the RS485 interface, and drives the constant pressure control cabinet to start the double-suction pump for irrigation. At this time, the first priming pump protection branch includes the priming pump protector, the constant pressure control cabinet, the double-suction pump, and necessary electrical drive components to ensure the smooth progress of the control action of the liquid level of the water tank.

[0039] Furthermore, when the priming pump protection logic instruction is the first protection logic, the multiple pumping station devices are feature-activated according to the first protection logic and the priming pump protector to obtain the first priming pump protection branch.

[0040] When the priming pump protection logic instruction is the first protection logic, the system feature-activates multiple pumping station devices according to the first protection logic and the control function of the priming pump protector, thereby obtaining the first priming pump protection branch. Specifically, the first protection logic instruction indicates that the liquid level of the water tank has exceeded the set liquid level, and the priming pump protector will activate the pumping station devices for irrigation according to this instruction.

[0041] When the pump priming protection logic instruction is the second protection logic, a second pump priming protection branch is constructed by combining the pump priming protector and multiple pumping station devices.

[0042] If the water tank level is lower than the height of the double-suction pump pipeline, the pump priming protector first closes the electric butterfly valve to form a sealed body among the pump, pipeline, and water reservoir. Subsequently, the air in this sealed body is evacuated through a vacuum pump, enabling water to be pressed into the double-suction pump cavity. During this process, the vacuum pump will continue to operate until the vacuum negative pressure in the pipeline reaches the set value. At this time, the pump priming protector precisely controls the pressure after the double-suction pump by adjusting the opening of the butterfly valve to prevent the water pressure from being released too quickly. After the double-suction pump has completely pumped water, the pump priming protector will fully open the electric butterfly valve and close the vacuum pump, thus completing the normal startup and operation of the water pump.

[0043] When the pump priming protection logic instruction is the second protection logic, the system constructs a second pump priming protection branch according to this instruction by combining the pump priming protector and multiple pumping station devices. Specifically, the second protection logic instruction indicates that the water tank level is lower than the height of the double-suction pump pipeline, resulting in the inability to directly start the pumping station devices. After receiving this instruction, the pump priming protector first closes the electric butterfly valve to form a small sealed space containing the butterfly valve, double-suction pump, pipeline, and water reservoir. Then, the system opens the solenoid valve and starts the vacuum pump to evacuate the air in the sealed space through the vacuum pump, enabling water to be pressed into the cavity of the double-suction pump. The vacuum pump will continue to operate until the vacuum negative pressure in the pipeline reaches the set value. At this time, the pump priming protector precisely controls the pressure after the double-suction pump by adjusting the opening of the electric butterfly valve according to the liquid level and pipeline pressure to ensure that the water pressure is not released too quickly and prevent the pumping station devices from being damaged due to sudden pressure fluctuations. After the double-suction pump has completely pumped water and reached the predetermined state, the pump priming protector will fully open the electric butterfly valve and close the vacuum pump to complete the normal startup and operation of the pumping station devices.

[0044] Furthermore, when the pump priming protection logic instruction is the second protection logic, the multiple pumping station devices are feature-activated according to the second protection logic and the pump priming protector to generate the second pump priming protection branch.

[0045] When the pump priming protection logic instruction is the second protection logic, the system feature-activates multiple pumping station devices according to the control function of this second protection logic and the pump priming protector to generate a second pump priming protection branch. Specifically, the second protection logic instruction indicates that the water tank level is lower than the set liquid level, that is, lower than the height of the double-suction pump pipeline, resulting in the inability to directly start the pumping station devices. In this case, the pump priming protector realizes liquid level adjustment by activating the relevant functions of the pumping station devices to construct a second pump priming protection branch.

[0046] Based on the liquid level deviation coefficient, perform adaptive optimization decision-making on the first pump priming protection branch and the second pump priming protection branch to obtain a pump station control optimization strategy.

[0047] The liquid level deviation coefficient is obtained by calculating the difference between the current water tank liquid level and the set liquid level. The system adjusts the control strategy of the pump station according to this deviation coefficient. When the liquid level deviation coefficient is positive, the first pump priming protection branch is started to optimize the working parameters of the double-suction pump to improve the energy efficiency of the pump station. For example, the system may optimize the operation mode of the pump station by adjusting parameters such as the rotation speed of the double-suction pump, flow control, and inlet water pressure to ensure that the pump station can stably and efficiently perform water extraction and irrigation operations under a higher liquid level. When the liquid level deviation coefficient is negative, the second pump priming protection branch is started, the electric butterfly valve is closed to cut off the pipeline to form a sealed space, the vacuum pump is started for exhaust, and the negative pressure value of the vacuum pump is adjusted to ensure that water can smoothly flow into the double-suction pump cavity. At the same time, by optimizing the working state of the double-suction pump, it is ensured that the pump station can operate efficiently at a low liquid level, avoiding excessive pressure fluctuations or energy waste. Through the adaptive optimization of the liquid level deviation coefficient, the system can dynamically adjust the working parameters of the pump station equipment according to the actual situation of the water tank liquid level, ensure that the pump station equipment can operate with the best performance under different liquid level states, and ultimately improve the energy efficiency, stability, and automation control level of the pump station.

[0048] Furthermore, based on the liquid level deviation coefficient, performing adaptive optimization decision-making on the first pump priming protection branch and the second pump priming protection branch to obtain a pump station control optimization strategy includes:

[0049] When the pump priming protection logic instruction is the first protection logic, perform control decision-making on the first pump priming protection branch according to the liquid level deviation coefficient to obtain a first decision space for pump station control; perform optimization analysis on the first decision space for pump station control according to a predetermined efficiency to obtain a second decision space for pump station control; perform energy consumption minimization optimization on the second decision space for pump station control to obtain the pump station control optimization strategy.

[0050] Preferably, when the pump priming protection logic instruction is the first protection logic, the system makes a control decision on the first pump priming protection branch according to the liquid level deviation coefficient; the system adjusts the operating parameters of the double-suction pump based on the liquid level deviation coefficient; according to the liquid level deviation coefficient, the system generates a first decision space for pump station control, and the first decision space for pump station control covers multiple operating parameters of the pump station equipment, such as pump speed, valve opening, suction flow rate, etc. The system performs an optimization analysis on the first decision space for pump station control according to the predetermined efficiency, and optimizes the operation strategy by evaluating the efficiency of each decision option. Based on the results of the optimization analysis, a second decision space for pump station control is obtained, and the second decision space for pump station control contains the optimized decision options. The system performs an optimization for minimizing energy consumption on the second decision space for pump station control; by calculating and comparing the energy consumption of each decision option, the system selects the optimal solution to ensure the lowest energy consumption while achieving a relatively high efficiency, thereby obtaining the final optimization strategy for pump station control.

[0051] Furthermore, based on the liquid level deviation coefficient, an adaptive optimization decision is made on the first pump priming protection branch and the second pump priming protection branch to obtain an optimization strategy for pump station control, including:

[0052] When the pump priming protection logic instruction is the second protection logic, a control decision is made on the second pump priming protection branch according to the liquid level deviation coefficient to obtain a third decision space for pump station control; an optimization analysis is performed on the third decision space for pump station control according to the predetermined efficiency to obtain a fourth decision space for pump station control; an optimization for minimizing energy consumption is performed on the fourth decision space for pump station control to obtain the optimization strategy for pump station control.

[0053] Preferably, when the pump priming protection logic instruction is the second protection logic, the system makes a control decision on the second pump priming protection branch according to the liquid level deviation coefficient; the liquid level deviation coefficient reflects the difference between the current liquid level and the set liquid level, and the system automatically adjusts the operating state of the pumping station equipment according to this difference. For example, if the liquid level deviation coefficient is a large negative value, the system may adjust the negative pressure of the vacuum pump and the opening degree of the electric butterfly valve to ensure that water can flow smoothly into the double-suction pump cavity. Based on the liquid level deviation coefficient, the system will construct the third decision space for pumping station control, which includes various possible control schemes for the second pump priming protection branch, such as the start time of the vacuum pump, the adjustment range of the electric butterfly valve, and the pump speed adjustment. The system analyzes the efficiency of different control strategies according to the liquid level adjustment requirements and the working conditions of the pumping station to determine the optimal operation plan and obtain the fourth decision space for pumping station control. The system performs an optimization search for minimizing energy consumption in the fourth decision space for pumping station control; by calculating the energy consumption of each decision option, the system selects the optimal plan to ensure that the water tank liquid level can be stably and quickly restored to the set value while minimizing energy consumption. Finally, the system obtains the optimization strategy for pumping station control to ensure that the pumping station reduces energy consumption while maintaining high efficiency operation, improving the operation efficiency and economy of the overall system.

[0054] Furthermore, it includes:

[0055] Monitor the pump priming protector in real time to obtain the protector monitoring data; predict the fault risk according to the protector monitoring data to obtain the protector fault risk coefficient; if the protector fault risk coefficient is greater than or equal to the protector fault risk threshold, generate a protector warning signal.

[0056] In the embodiments of the present application, the system monitors the operating parameters of the pump filling protector in real time through built-in sensors and data acquisition modules to obtain protector monitoring data, which includes current, voltage, temperature, pressure, etc.; based on the protector monitoring data, a fault risk prediction is carried out. The system uses a machine learning model to predict the fault risk of the pump filling protector and calculates the fault risk coefficient of the protector; specifically, the historical operating data of the pump filling protector is obtained, and the faults occurring in the historical operating data are marked, and the marked data is used as training data to train the machine learning model (such as random forest, support vector machine, neural network); after the training is completed, the system uses this model to predict the fault risk of the protector monitoring data and outputs the protector fault risk coefficient, which represents the current health status of the pump filling protector and the probability of its fault occurrence. When the protector fault risk coefficient is greater than or equal to the set protector fault risk threshold, the system generates a warning signal for the protector, which is used to prompt the operator, indicating that there is a potential fault risk for the pump filling protector. The system sends warning information to the operator in a timely manner through a touch screen, a remote control platform or other communication means, so that the operator can take necessary preventive measures or perform equipment maintenance before the problem occurs, thereby preventing equipment damage or system downtime.

[0057] In summary, the embodiments of the present application have at least the following technical effects:

[0058] First, according to the pre-laid liquid level sensing array, the liquid level sensing data of the water tank of the farmland pumping station is read. The farmland pumping station includes a water tank, a pump filling protector and multiple pumping station devices. Then, based on the liquid level sensing array, a credible optimization fusion is carried out on the liquid level sensing data of the water tank to obtain credible liquid level parameters. Then, the credible liquid level parameters are input into the pump filling protection logic device to obtain a pump filling protection logic instruction and a liquid level deviation coefficient. When the pump filling protection logic instruction is the first protection logic, a first pump filling protection branch is constructed by combining the pump filling protector and multiple pumping station devices; when the pump filling protection logic instruction is the second protection logic, a second pump filling protection branch is constructed by combining the pump filling protector and multiple pumping station devices. Finally, based on the liquid level deviation coefficient, an adaptive optimization decision is made on the first pump filling protection branch and the second pump filling protection branch to obtain a pumping station control optimization strategy. This solves the technical problem of insufficient intelligence in the irrigation control of farmland pumping stations in the prior art and achieves the technical effect of realizing the intelligent irrigation control of farmland pumping stations.

[0059] Embodiment 2, based on the same inventive concept as the method for remotely and automatically controlling irrigation of a farmland pumping station in the foregoing embodiment, as Figure 2 shown, the present application provides a remotely and automatically controlled irrigation system for a farmland pumping station, wherein the system includes:

[0060] The data acquisition module 11 is configured to read the water level sensing data of the water tank of the farmland pumping station according to a pre-deployed water level sensing array. The farmland pumping station includes a water tank, a pump protection device, and multiple pumping station devices. The optimization fusion module 12 is configured to perform credible optimization fusion on the water level sensing data of the water tank according to the water level sensing array to obtain credible water level parameters. The instruction acquisition module 13 is configured to input the credible water level parameters into a pump protection logic device to obtain a pump protection logic instruction and a water level deviation coefficient. The first branch construction module 14 is configured to construct a first pump protection branch by combining the pump protection device and multiple pumping station devices when the pump protection logic instruction is a first protection logic. The second branch construction module 15 is configured to construct a second pump protection branch by combining the pump protection device and multiple pumping station devices when the pump protection logic instruction is a second protection logic. The optimization decision module 16 is configured to perform adaptive optimization decision on the first pump protection branch and the second pump protection branch based on the water level deviation coefficient to obtain a pumping station control optimization strategy.

[0061] Further, the optimization fusion module 12 is configured to execute the following method:

[0062] Read the status parameters of the water level sensing array according to each real-time water level parameter in the water level sensing data of the water tank to obtain multiple sensor status data. Perform water level sensing credibility detection according to the multiple sensor status data to obtain multiple water level sensing credibility levels. Screen the water level sensing data of the water tank according to the multiple water level sensing credibility levels to obtain a credible optimization water level space that meets a predetermined credibility level. Perform fusion calculation according to the credible optimization water level space to generate the credible water level parameters.

[0063] Further, the optimization fusion module 12 is configured to execute the following method:

[0064] Perform anomaly recognition according to the multiple sensor status data to obtain multiple sensing status anomaly recognition results. Use the sensing status anomaly recognition sample set as input information and the water level sensing credibility sample set as output information to perform supervised training on a Transformer model to obtain a water level sensing credibility evaluation model. Input the multiple sensing status anomaly recognition results into the water level sensing credibility evaluation model to output the multiple water level sensing credibility levels.

[0065] Further, the instruction acquisition module 13 is configured to execute the following method:

[0066] The pump priming protection logic device includes a pump priming protection logic operator, and the pump priming protection logic operator includes: when the reliable liquid level parameter is greater than the set liquid level, output the first protection logic; when the reliable liquid level parameter is less than the set liquid level, output the second protection logic; when the reliable liquid level parameter is equal to the set liquid level, generate a liquid level continuous monitoring signal.

[0067] Further, the optimization decision-making module 16 is used to execute the following method:

[0068] When the pump priming protection logic instruction is the first protection logic, perform a control decision on the first pump priming protection branch according to the liquid level deviation coefficient to obtain a first decision-making space for pump station control; perform an optimization analysis on the first decision-making space for pump station control according to a predetermined efficiency to obtain a second decision-making space for pump station control; perform an optimization for minimizing energy consumption on the second decision-making space for pump station control to obtain the optimization strategy for pump station control.

[0069] Further, the optimization decision-making module 16 is used to execute the following method:

[0070] When the pump priming protection logic instruction is the second protection logic, perform a control decision on the second pump priming protection branch according to the liquid level deviation coefficient to obtain a third decision-making space for pump station control; perform an optimization analysis on the third decision-making space for pump station control according to a predetermined efficiency to obtain a fourth decision-making space for pump station control; perform an optimization for minimizing energy consumption on the fourth decision-making space for pump station control to obtain the optimization strategy for pump station control.

[0071] Further, the first branch construction module 14 is used to execute the following method:

[0072] When the pump priming protection logic instruction is the first protection logic, activate the features of the multiple pump station devices according to the first protection logic and the pump priming protector to obtain the first pump priming protection branch.

[0073] Further, the second branch construction module 15 is used to execute the following method:

[0074] When the pump priming protection logic instruction is the second protection logic, activate the features of the multiple pump station devices according to the second protection logic and the pump priming protector to generate the second pump priming protection branch.

[0075] Further, the data acquisition module 11 is used to execute the following method:

[0076] Monitor the filling pump protector in real time to obtain the protector monitoring data; predict the fault risk based on the protector monitoring data to obtain the protector fault risk coefficient; if the protector fault risk coefficient is greater than or equal to the protector fault risk threshold, generate a protector warning signal.

[0077] It should be noted that the above order of the embodiments of the present application is only for description and does not represent the superiority or inferiority of the embodiments. And the above describes specific embodiments of this specification. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0078] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0079] This specification and the drawings are only exemplary descriptions of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is intended to include these changes and modifications.

Claims

1. A remote automatic irrigation control method for a farmland pump station, characterized in that: The method comprises: According to the pre-deployed liquid level sensor array, the liquid level sensor data of the water tank of the farmland pump station is read, and the farmland pump station includes a water tank, a pump protector and a plurality of pump station equipment; Performing credible optimization fusion on the water tank liquid level sensor data according to the liquid level sensor array to obtain credible liquid level parameters; Input the credible liquid level parameter into the filling pump protection logic to obtain the filling pump protection logic instruction and the liquid level deviation coefficient; When the priming pump protection logic instruction is the first protection logic, the priming pump protector and a plurality of pump station equipment are combined to construct a first priming pump protection branch circuit; When the priming pump protection logic instruction is the second protection logic, the priming pump protector and a plurality of pump station equipment are combined to construct a second priming pump protection branch circuit; Based on the liquid level deviation coefficient, an adaptive optimization decision is made on the first priming pump protection branch and the second priming pump protection branch to obtain a pump station control optimization strategy.

2. A remote automatic irrigation control method for a farmland pump station as claimed in claim 1, characterized in that: According to the liquid level sensor array, the water tank liquid level sensor data is subjected to credible optimization fusion to obtain credible liquid level parameters, including: Reading the state parameters of the liquid level sensor array according to each real-time water pool liquid level parameter in the water pool liquid level sensor data to obtain a plurality of sensor state data; Performing liquid level sensor credibility detection according to the multiple sensor status data to obtain multiple liquid level sensor credibility; The water tank liquid level sensor data is screened according to the plurality of liquid level sensor credibility to obtain a credible optimal liquid level space that meets a predetermined credibility; A fusion calculation is performed according to the credible optimal liquid level space to generate the credible liquid level parameter.

3. A remote automatic irrigation control method for a farmland pump station as claimed in claim 2, characterized in that: Performing liquid level sensor credibility detection according to the plurality of sensor state data to obtain a plurality of liquid level sensor credibility levels includes: Performing abnormality identification according to the plurality of sensor state data to obtain a plurality of sensor state abnormality identification results; Taking the sensor state abnormality recognition sample set as input information and the liquid level sensor credible sample set as output information, the Transformer model is supervised and trained to obtain the liquid level sensor credible evaluation model. The multiple sensor state abnormality recognition results are input into the liquid level sensor credibility evaluation model, and the multiple liquid level sensor credibility is output.

4. A remote automatic irrigation control method for a farmland pump station as claimed in claim 1, characterized in that: The priming pump protection logic includes a priming pump protection logic operator, and the priming pump protection logic operator includes: When the credible liquid level parameter is greater than the set liquid level, outputting the first protection logic; When the credible liquid level parameter is less than the set liquid level, outputting the second protection logic; When the credible liquid level parameter is equal to the set liquid level, a liquid level continuous monitoring signal is generated.

5. A remote automatic irrigation control method for a farmland pump station as claimed in claim 1, characterized in that: Based on the liquid level deviation coefficient, an adaptive optimization decision is made on the first pump protection branch and the second pump protection branch to obtain a pump station control optimization strategy, including: When the filling pump protection logic instruction is the first protection logic, a control decision is made on the first filling pump protection branch according to the liquid level deviation coefficient to obtain a first decision space for pump station control; Performing optimization analysis on the first decision space for pump station control according to a predetermined efficiency to obtain a second decision space for pump station control; The energy consumption minimization is optimized for the second decision space of the pump station control to obtain the pump station control optimization strategy.

6. A remote automatic irrigation control method for a farmland pump station as claimed in claim 1, characterized in that: Based on the liquid level deviation coefficient, an adaptive optimization decision is made on the first pump protection branch and the second pump protection branch to obtain a pump station control optimization strategy, including: When the pump filling protection logic instruction is the second protection logic, a control decision is made on the second pump filling protection branch according to the liquid level deviation coefficient to obtain a third decision space for pump station control; Performing optimization analysis on the third decision space for pump station control according to a predetermined efficiency to obtain a fourth decision space for pump station control; The fourth decision space of the pump station control is optimized by minimizing energy consumption to obtain the pump station control optimization strategy.

7. A remote automatic irrigation control method for a farmland pump station as claimed in claim 1, characterized in that: When the priming pump protection logic instruction is the first protection logic, the characteristics of the multiple pump station equipment are activated according to the first protection logic and the priming pump protector to obtain the first priming pump protection branch.

8. A remote automatic irrigation control method for a farmland pump station as claimed in claim 1, characterized in that: When the pump priming protection logic instruction is the second protection logic, the characteristics of the multiple pump station equipment are activated according to the second protection logic and the pump priming protector to generate the second pump priming protection branch.

9. A remote automatic irrigation control method for a farmland pump station as claimed in claim 1, characterized in that: The method comprises: Performing real-time monitoring on the priming pump protector to obtain protector monitoring data; Performing fault risk prediction based on the protector monitoring data to obtain a protector fault risk coefficient; If the protector failure risk coefficient is greater than or equal to the protector failure risk threshold, a protector warning signal is generated.

10. A remote automatic irrigation control system for a farmland pump station, characterized in that: A method for remote automatic irrigation control of a farmland pump station for implementing any one of claims 1 to 9, the system comprising: A data acquisition module, used to read the water tank liquid level sensor data of the farmland pump station according to the pre-arranged liquid level sensor array, wherein the farmland pump station includes a water tank, a pump protector and a plurality of pump station equipment; An optimization fusion module, used for performing credible optimization fusion on the water tank liquid level sensor data according to the liquid level sensor array to obtain credible liquid level parameters; An instruction acquisition module, used for inputting the credible liquid level parameter into the filling pump protection logic to obtain the filling pump protection logic instruction and the liquid level deviation coefficient; A first branch construction module, used for combining the priming pump protector and a plurality of pump station devices to construct a first priming pump protection branch when the priming pump protection logic instruction is a first protection logic; A second branch construction module, used for combining the priming pump protector and a plurality of pump station devices to construct a second priming pump protection branch when the priming pump protection logic instruction is a second protection logic; The optimization decision module is used to perform adaptive optimization decision on the first filling pump protection branch and the second filling pump protection branch based on the liquid level deviation coefficient to obtain a pump station control optimization strategy.

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