Agricultural automatic irrigation system and method based on big data

Abstract

The invention discloses an agricultural automatic irrigation system and method based on big data, and relates to the technical field of agricultural automatic irrigation and Internet of Things big data, and the system comprises a soil sensor module which detects the soil humidity of a farmland, obtains a real-time soil humidity value of the farmland, and sends the real-time soil humidity value to a cloud server; the detected real-time soil humidity value is transmitted to the big data cloud platform; the user terminal is used for determining a gate lifting instruction according to the real-time soil humidity value and a set humidity standard threshold value; after receiving the gate lifting instruction, the irrigation gate device lifts a gate to convey water to the farmland and irrigate the farmland, and when the real-time soil humidity value of the farmland is not smaller than a set humidity standard threshold value, the user terminal sends a gate closing instruction to the irrigation gate device to stop irrigation. Accurate control over the farm irrigation time, site and water amount is achieved.

Description

Technical Field

[0001] The present application relates to the field of agricultural automated irrigation and Internet of Things big data technology, and in particular to an agricultural automated irrigation system and method based on big data. Background Art

[0002] Farmland irrigation involves the question of when and where irrigation is needed and the amount of water required by crops. Accurate matching is extremely important for crop growth. The current irrigation system cannot meet such usage requirements.

[0003] Therefore, there is an urgent need for an agricultural automated irrigation system based on big data that can accurately control irrigation time, location and water volume. Summary of the invention

[0004] The purpose of this application is to provide an agricultural automated irrigation system and method based on big data, which can accurately control the time, location and water volume of farmland irrigation.

[0005] To achieve the above objectives, this application provides the following solutions: In a first aspect, the present application provides an agricultural automation irrigation system based on big data, comprising: The soil sensor module includes a plurality of soil sensors, which are arranged in the farmland to detect the soil moisture of the farmland, obtain the real-time soil moisture value of the farmland, and transmit the detected real-time soil moisture value to the big data cloud platform; A user terminal is used to access the real-time soil moisture value of the big data cloud platform and determine the gate lifting instruction according to the real-time soil moisture value and the set humidity standard threshold; An irrigation gate device, used to receive a gate lifting instruction and lift the gate to transport water to the farmland for irrigation; When the real-time soil moisture value of the farmland is not less than the set humidity standard threshold, the user terminal sends a gate closing instruction to the irrigation gate device to stop irrigation.

[0006] Optionally, the irrigation gate device comprises: A micro control unit, used for receiving gate lifting instructions and gate closing instructions; The gate motor is used to receive the gate lifting instruction and gate closing instruction from the micro control unit and drive the gate lifting mechanism; The gate lifting mechanism is used to lift or close the gate according to the motor drive; Gate cable height sensor, used to monitor gate height; Ultrasonic flow detection sensor, used to monitor water flow and obtain gate output flow; The inlet ultrasonic water level sensor and the outlet ultrasonic water level sensor are respectively arranged on both sides of the gate to monitor the inlet water level and the outlet water level on both sides of the gate.

[0007] Optionally, the agricultural automation irrigation system based on big data further includes a conveying device; the conveying device includes a main canal, a plurality of branch canals and drainage ditches; A gate lifting mechanism is provided on the main canal; The branch channel is arranged in the farmland and is used to transmit water flow; a plurality of water inlet valves are arranged on the branch channel, and water flows through the water inlet valves to irrigate the farmland that needs irrigation; The drainage ditch is arranged in the farmland that needs irrigation, and a plurality of water outlet valves are arranged on the drainage ditch; when the water level in the farmland is greater than the set water level, water is discharged through the drainage ditch.

[0008] Optionally, the big data-based agricultural automation irrigation system also includes a pumping station; the pumping station is used to pump water for the main canal.

[0009] Optionally, a manual lifting mechanism is provided between the main channel and the branch channel to divert the water flow.

[0010] Optionally, the user terminal is used to: Determine whether the gate output flow reaches the command value, and obtain a first determination result; If the first judgment result is no, then judging whether the gate height reaches the limit position, and obtaining a second judgment result; If the second judgment result is yes, a water pumping instruction is sent to the pumping station through the big data cloud platform to pump water; If the second judgment result is no, the gate motor is controlled to drive the gate lifting mechanism to raise the gate height.

[0011] Optionally, the soil sensor module, user terminal, big data cloud platform and irrigation gate device are connected via IOT 5G data module communication.

[0012] Optionally, the ultrasonic flow detection sensor includes three ultrasonic flow velocity probe components, which are respectively arranged at a first height position, a second height position and a third height position of the enclosure of the main canal, and are used to measure the flow velocity of the water flow at the first height position, the second height position and the third height position; the first height position is greater than the second height position, and the second height position is greater than the third height position; The ultrasonic flow detection sensor is used to calculate the gate output flow according to the flow velocity and water cross-sectional area of ​​the water flow at the first height position, the second height position and the third height position.

[0013] Optionally, the big data-based agricultural automation irrigation system further includes an integrated channel pre-buried stainless steel enclosure; the integrated channel pre-buried stainless steel enclosure is arranged on the waterway wall of the main channel and the branch channel.

[0014] In a second aspect, the present application provides an agricultural automation irrigation method based on big data, and the agricultural automation irrigation method based on big data is used in the above-mentioned agricultural automation irrigation system based on big data, including: Get real-time soil moisture values ​​of farmland; Determine whether the real-time soil moisture value is less than a set humidity standard threshold; If the real-time soil moisture value is less than the set moisture standard threshold, the irrigation gate device is controlled to lift the gate to transport water to the farmland for irrigation; When the real-time soil moisture value of the farmland is not less than the set humidity standard threshold, the user terminal sends a gate closing instruction to the irrigation gate device to stop irrigation.

[0015] According to the specific embodiments provided in this application, this application discloses the following technical effects: The present application provides an agricultural automation irrigation system and method based on big data. The soil moisture of the farmland is detected by a soil sensor module to obtain the real-time soil moisture value of the farmland, and the detected real-time soil moisture value is transmitted to the big data cloud platform. The user terminal determines the gate lifting instruction according to the real-time soil moisture value and the set humidity standard threshold. After receiving the gate lifting instruction, the irrigation gate device lifts the gate to transport water to the farmland for irrigating the farmland. When the real-time soil moisture value of the farmland is not less than the set humidity standard threshold, the user terminal sends a gate closing instruction to the irrigation gate device to stop irrigation, thereby realizing precise control of the time, location and water volume of farmland irrigation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A schematic diagram of the structure of an agricultural automation irrigation system based on big data provided in one embodiment of the present application; Figure 2 A schematic diagram of the structure of a big data cloud platform provided in one embodiment of the present application; Figure 3 A schematic diagram of the structure of an irrigation gate device provided in one embodiment of the present application; Figure 4 A schematic diagram of the arrangement position of an ultrasonic flow detection sensor provided in an embodiment of the present application; Figure 5 for Figure 4 A top view of Figure 6 A schematic diagram of a main canal gate control process provided in an embodiment of the present application; Figure 7 A schematic diagram of a BOOT process provided in an embodiment of the present application; Figure 8 A schematic flow chart of an agricultural automated irrigation method based on big data provided in one embodiment of the present application. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0020] In an exemplary embodiment, Figure 1 As shown, an agricultural automation irrigation system based on big data is provided, including a soil sensor module, a conveying device, a big data cloud platform, a pump station, a user terminal and an irrigation gate device.

[0021] The soil sensor module includes several soil sensors, which are set in the farmland to detect the soil moisture of the farmland, obtain the real-time soil moisture value of the farmland, and transmit the detected real-time soil moisture value to the big data cloud platform. The soil sensor module includes N soil sensors, which are set in the farmland that needs irrigation, evenly distributed, N is not less than 1, and are used to detect soil moisture.

[0022] The user terminal is used to access the real-time soil moisture value of the big data cloud platform, and determine the gate lifting instruction according to the real-time soil moisture value and the set humidity standard threshold.

[0023] The irrigation gate device is used to receive a gate lifting instruction and lift the gate to transport water to the farmland for irrigating the farmland; when the real-time soil moisture value of the farmland is not less than the set humidity standard threshold, the user terminal sends a gate closing instruction to the irrigation gate device to stop irrigation.

[0024] like Figure 3As shown in the figure, the irrigation gate device includes a microcontroller unit (MCU), a gate motor, a gate lifting mechanism, a gate cable height sensor, an ultrasonic flow detection sensor, an inlet ultrasonic water level sensor, an outlet ultrasonic water level sensor, a solar panel and a battery management unit. The IOT 5G data module is used to transmit data and instructions. The soil sensor module, the user terminal, the big data cloud platform and the irrigation gate device are connected through the IOT 5G data module communication.

[0025] MCU is used to receive gate lifting instructions and gate closing instructions. MCU receives control instructions from the user terminal, controls the gate motor drive to control the gate lifting mechanism, and is also used to collect valve wire height data detected by the valve wire height sensor, and transmit the valve wire height data to the big data cloud platform through the IOT 5G data module. MCU is also used to monitor the flow and inlet and outlet water levels of the main canal, but the monitoring data is not transmitted to the big data cloud platform.

[0026] The gate motor is used to receive the gate lifting and closing instructions from the microcontroller unit to drive the gate lifting mechanism; the gate lifting mechanism is used to lift or close the gate according to the motor drive; the gate pull wire height sensor is used to monitor the gate height. The ultrasonic flow detection sensor is used to monitor the water flow and obtain the gate output flow.

[0027] like Figure 4 and Figure 5 As shown, the ultrasonic flow detection sensor may include three ultrasonic flow velocity probe components, which are respectively arranged at the first height position, the second height position and the third height position of the enclosure of the main canal, and are used to measure the flow velocity of the water flow at the first height position, the second height position and the third height position; the first height position is greater than the second height position, and the second height position is greater than the third height position; the ultrasonic flow detection sensor is used to calculate the gate output flow rate according to the flow velocity and water flow cross-sectional area of ​​the water flow at the first height position, the second height position and the third height position. Each ultrasonic flow velocity probe component includes at least two ultrasonic flow velocity probes installed at the same height.

[0028] Figure 4 The ultrasonic water level probe in can be a pressure probe.

[0029] The ultrasonic flow velocity probe components are arranged in three layers. The gate output flow rate is obtained according to the flow rate at different levels and the installation position. The calculation formula of the gate output flow rate is: ,in, Indicates the gate output flow, Indicates the flow rate of water at the first height position, is the distance between the ultrasonic flow velocity probe installed at the first height position and the water bottom, Indicates the flow rate of water at the second height position, is the distance between the ultrasonic flow velocity probe installed at the second height position and the water bottom, Indicates the flow rate of water at the third height position, is the distance between the ultrasonic flow velocity probe installed at the third height position and the water bottom.

[0030] like Figure 5 As shown in the figure, the direction indicated by the arrow is the direction of water flow, and the black squares are the horizontal projection points of two ultrasonic flow velocity probes (i.e., ultrasonic probes) installed at the same height. The calculation formula is as follows: .

[0031] Downstream Transmission Time The calculation formula is as follows: .

[0032] In the formula, is the speed of sound, is the fluid velocity, is the distance between the projection points of two ultrasonic flow velocity probes installed at the same height in the horizontal direction, is the linear distance between ultrasonic flow velocity probes in the same layer.

[0033] Among them, the upstream transmission time and downstream transmission time The two formulas can be used to calculate the fluid velocity, that is, It can be concluded that ,pass It can be concluded that Based on the arrangement of the three-layer ultrasonic flow velocity probe components, the fluid velocity at the first height position can be calculated , the fluid velocity at the second height position and the fluid velocity at the third height position , then the formula for calculating the fluid velocity is , i =1, 2, 3.

[0034] The inlet ultrasonic water level sensor and the outlet ultrasonic water level sensor are respectively arranged on both sides of the gate to monitor the inlet water level and the outlet water level on both sides of the gate.

[0035] A solar panel is used to provide solar energy to other units; a battery management unit is connected to the MCU and is used to convert solar energy into electrical energy, and use solar energy to power the irrigation gate device.

[0036] The conveying device comprises a main channel, a plurality of branch channels and a drainage ditch; a gate lifting mechanism is arranged on the main channel.

[0037] The branch channel is arranged in the farmland and used for transmitting water flow; a plurality of water inlet valves are arranged on the branch channel, and the water flows through the water inlet valves to irrigate the farmland that needs irrigation.

[0038] The drainage ditch is arranged in the farmland that needs irrigation, and a plurality of water outlet valves are arranged on the drainage ditch; when the water level in the farmland is higher than the set water level, water is discharged through the drainage ditch.

[0039] The farmland can be divided into several blocks, each block is provided with at least one soil sensor; for each block, the soil sensor of the block is used to detect the soil moisture value of the block in real time to obtain the real-time soil moisture value of the block; it is judged whether the real-time soil moisture value of the block is less than the set humidity standard threshold; when the real-time soil moisture value of the block is less than the set humidity standard threshold, the micro control unit sends a gate lifting instruction to the gate motor, and sends an opening instruction to the water inlet valve W on the branch channel and the water outlet valve N on the main channel corresponding to the block; after receiving the gate lifting instruction, the gate motor drives the gate lifting mechanism to lift the gate; after receiving the opening instruction, the water inlet valve W on the branch channel and the water outlet valve N on the main channel The water inlet valve W on the branch canal and the water outlet valve N on the main canal are opened to transmit water flow to the branch canal corresponding to the block, so as to irrigate the specific block of farmland that needs irrigation water; when the real-time soil moisture value of the block is not less than the set humidity standard threshold, the micro control unit sends a gate closing instruction to the gate motor, and sends a closing instruction to the water inlet valve W on the branch canal and the water outlet valve N on the main canal corresponding to the block; after receiving the gate closing instruction, the gate motor drives the gate lifting mechanism to close the gate; after receiving the closing instruction, the water inlet valve W on the branch canal and the water outlet valve N on the main canal are closed, and the water flow transmission to the branch canal corresponding to the block is stopped, thereby realizing precise control of the farmland irrigation location.

[0040] The agricultural automation irrigation system based on big data also includes an integrated channel pre-buried stainless steel enclosure; the integrated channel pre-buried stainless steel enclosure is set on the waterway wall of the main canal and the branch canal. Ultrasonic flow detection sensors and inlet and outlet water level sensors are installed on the integrated channel pre-buried stainless steel enclosure, but are linearly connected to the irrigation gate device to transmit data.

[0041] The agricultural automation irrigation system based on big data also includes a pump station, which is used to pump water for the main canal. The pump station is connected to the user terminal through 5G remote data transmission. When the main gate in the irrigation gate device cannot meet the flow demand, the user terminal can transmit pumping instructions to the pump station through 5G remote data to pump water.

[0042] The user terminal accesses cloud data through the API interface; the user terminal is remotely connected to the soil sensor and the irrigation gate control device through 5G; the irrigation valve control device is connected to the cloud through 5G; the gate lifting mechanism of the irrigation gate device is placed in the main canal; a manual lifting mechanism is also provided between the main canal and the branch canal, which can be manually lifted to divert the water flow.

[0043] like Figure 2 As shown, the big data cloud platform includes a cloud database (SQL server), an object storage service (OBS), a distributed cache service (DCS), and three elastic cloud servers (ECS); it is used to receive and store valve wire height data transmitted from the irrigation gate device and soil moisture data from the soil sensor, and can receive calls.

[0044] Elastic Load Balance (ELB) is connected to the big data cloud platform and user terminals. It is used to avoid data congestion when a large number of users need to access the big data cloud platform. Therefore, a balancer is set up.

[0045] Application system A, application system B, application system C and application system D correspond to different application systems. Different user terminals need to use different application systems to access the big data cloud platform data through the API interface.

[0046] like Figure 6 As shown, the user terminal is used to implement the following steps 101 to 111.

[0047] Step 101: Power on.

[0048] Step 102: After power on, proceed as follows Figure 7 The BOOT process shown in the figure is to make the firmware run correctly.

[0049] Step 103: Initialize the system.

[0050] Step 104: Determine whether there is a new instruction in the cloud, which is a gate lifting instruction; if there is a new instruction, go to step 105; if there is no new instruction, go to step 106.

[0051] Step 105: The water inlet and outlet heights are obtained through the water inlet ultrasonic water level sensor and the water outlet ultrasonic water level sensor, the ultrasonic flow detection sensor obtains the flow velocity of the three ultrasonic flow velocity probe components, and the flow rate is converted through the flow velocity calculation formula to obtain the gate output flow rate.

[0052] Step 106: Determine whether the gate output flow reaches the command value and obtain a first determination result; if the first determination result is yes, go to step 107; if the first determination result is no, go to step 108.

[0053] Step 107: Send data to the cloud server through the IOT 5G data module to reach the preset flow, and go to step 111.

[0054] Step 108: Determine whether the gate height has reached the limit position and obtain a second determination result; if the second determination result is yes, go to step 109; if the second determination result is no, go to step 110.

[0055] Step 109: Send data to the cloud server via the IOT 5G data module. The cloud server sends a water pumping instruction to the pumping station to pump water and proceed to step 111.

[0056] Step 110: The gate motor is controlled to drive the gate lifting mechanism to raise the gate height, that is, the gate lifting mechanism is adjusted through the PID flow closed-loop control condition.

[0057] Step 111: The battery management unit controls tracking through a maximum power point tracking (MPPT) algorithm, and ends.

[0058] The BOOT process includes the following steps 201 to 214.

[0059] Step 201: Power on.

[0060] Step 202: Determine whether GPIO2~GPI05 are equal to 4'b1010, if yes, go to step 203, if not, go to step 206.

[0061] Step 203: 5G waits for firmware upgrade instructions.

[0062] Step 204: Determine whether the UART receives a firmware upgrade instruction, if not, go to step 205, if yes, go to step 213.

[0063] Step 205: Determine whether it is timed out, that is, whether the UART receiving time exceeds 5 seconds. If so, go to step 206, if not, go to step 203.

[0064] Step 206: Determine whether the firmware flag is correct, if so, go to step 207, if not, go to step 211.

[0065] Step 207: There is data in the APP area.

[0066] Step 208: Determine whether the firmware CRC check passes, if so, go to step 214, if not, go to step 209.

[0067] Step 209: APP firmware error.

[0068] Step 210: Software reset.

[0069] Step 211: The APP area is empty.

[0070] Step 212: Determine whether 5G has received a firmware upgrade instruction. If so, go to step 213; if not, go to step 210.

[0071] Step 213: Firmware upgrade.

[0072] Step 214: The firmware runs the firmware correctly.

[0073] The agricultural automation irrigation system based on big data provided by this application includes 5G data remote transmission, big data cloud platform, ultrasonic inlet and outlet water level sensor, ultrasonic flow detection, gate water volume control and integrated channel pre-buried stainless steel enclosure. The big data background or mobile phone APP sends flow or gate opening height information. After receiving the information instruction, the MCU in this application controls the motor lifting system to execute the action, and the pull-wire displacement detection gate height reaches the target control value, thereby completing irrigation.

[0074] Based on the same inventive concept, the embodiment of the present application also provides an agricultural automation irrigation method based on big data using the above agricultural automation irrigation system based on big data. The specific limitations in one or more embodiments of the agricultural automation irrigation method based on big data provided below can be found in the above limitations on the agricultural automation irrigation system based on big data, and will not be repeated here.

[0075] In an exemplary embodiment, Figure 8 As shown, an agricultural automated irrigation method based on big data is provided, including the following steps S1 to S4.

[0076] S1: Obtaining real-time soil moisture values ​​of farmland. Soil sensors collect real-time soil moisture values ​​(i.e. soil moisture data) and transmit them to the cloud platform.

[0077] S2: Determine whether the real-time soil moisture value is less than a set humidity standard threshold.

[0078] S3: If the real-time soil moisture value is less than the set moisture standard threshold, the irrigation gate device is controlled to lift the gate to transport water to the farmland for irrigating the farmland.

[0079] S4: When the real-time soil moisture value of the farmland is not less than the set humidity standard threshold, the user terminal sends a gate closing instruction to the irrigation gate device to stop irrigation.

[0080] The user terminal accesses the soil moisture data from the big data cloud platform through the application system, sets the humidity standard threshold, and judges the soil moisture data. When the soil moisture data is lower than the set humidity standard threshold, the user terminal sends a gate lifting instruction to the irrigation gate device; when the soil moisture data is higher than the set humidity standard threshold, no action is taken. After receiving the gate lifting instruction sent by the user terminal, the irrigation gate device lifts the gate to irrigate the farmland. When the humidity detected by the soil sensor is normal, that is, the real-time soil moisture value of the farmland is not less than the set humidity standard threshold, the gate is closed. After the height data detected by the gate wire height sensor is transmitted to the big data cloud platform, the user terminal can check in real time whether the gate is closed normally.

[0081] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0082] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. An agricultural automation irrigation system based on big data, characterized in that: include: The soil sensor module includes a plurality of soil sensors, which are arranged in the farmland to detect the soil moisture of the farmland, obtain the real-time soil moisture value of the farmland, and transmit the detected real-time soil moisture value to the big data cloud platform; A user terminal is used to access the real-time soil moisture value of the big data cloud platform and determine the gate lifting instruction according to the real-time soil moisture value and the set humidity standard threshold; An irrigation gate device, used to receive a gate lifting instruction and lift the gate to transport water to the farmland for irrigation; When the real-time soil moisture value of the farmland is not less than the set humidity standard threshold, the user terminal sends a gate closing instruction to the irrigation gate device to stop irrigation; The irrigation gate device comprises: a microcontroller unit for receiving gate lifting instructions and gate closing instructions; a gate motor for receiving gate lifting instructions and gate closing instructions from the microcontroller unit and driving the gate lifting mechanism; a gate lifting mechanism for lifting or closing the gate according to the motor drive; a gate pull wire height sensor for monitoring the gate height; an ultrasonic flow detection sensor for monitoring the water flow rate and obtaining the gate output flow rate; an inlet ultrasonic water level sensor and an outlet ultrasonic water level sensor are respectively arranged on both sides of the gate, and are used to monitor the inlet water level and the outlet water level on both sides of the gate; The user terminal is used to determine whether the gate output flow reaches the instruction value to obtain a first judgment result; if the first judgment result is yes, it ends; if the first judgment result is no, it determines whether the gate height reaches the limit position to obtain a second judgment result; if the second judgment result is yes, the cloud server sends a water lifting instruction to the pump station to pump water; if the second judgment result is no, the gate motor is controlled to drive the gate lifting mechanism to increase the gate height.

2. The agricultural automation irrigation system based on big data according to claim 1 is characterized in that: The system further comprises a conveying device; the conveying device comprises a main channel, a plurality of branch channels and a drainage ditch; A gate lifting mechanism is provided on the main canal; The branch channel is arranged in the farmland and is used to transmit water flow; a plurality of water inlet valves are arranged on the branch channel, and water flows through the water inlet valves to irrigate the farmland that needs irrigation; The drainage ditch is arranged in the farmland that needs irrigation, and a plurality of water outlet valves are arranged on the drainage ditch; when the water level in the farmland is greater than the set water level, water is discharged through the drainage ditch.

3. The agricultural automation irrigation system based on big data according to claim 2 is characterized in that: The system also includes a pumping station, which is used to pump water for the main canal.

4. The agricultural automation irrigation system based on big data according to claim 2 is characterized in that: A manual lifting mechanism is also provided between the main channel and the branch channel to divert the water flow.

5. The agricultural automation irrigation system based on big data according to claim 1, characterized in that: The soil sensor module, user terminal, big data cloud platform and irrigation gate device are connected through IOT 5G data module communication.

6. The agricultural automation irrigation system based on big data according to claim 2, characterized in that: The ultrasonic flow detection sensor comprises three ultrasonic flow velocity probe components, which are respectively arranged at the first height position, the second height position and the third height position of the enclosure of the main canal, and are used to measure the flow velocity of the water flow at the first height position, the second height position and the third height position; the first height position is greater than the second height position, and the second height position is greater than the third height position; The ultrasonic flow detection sensor is used to calculate the gate output flow according to the flow velocity and water cross-sectional area of ​​the water flow at the first height position, the second height position and the third height position.

7. The agricultural automation irrigation system based on big data according to claim 2, characterized in that: The system also includes an integrated channel pre-buried stainless steel enclosure; the integrated channel pre-buried stainless steel enclosure is arranged on the waterway wall of the main channel and the branch channel.

8. An agricultural automation irrigation method based on big data, applied to the agricultural automation irrigation system based on big data according to any one of claims 1 to 7, characterized in that: The method comprises the following steps: Get real-time soil moisture values ​​of farmland; Determine whether the real-time soil moisture value is less than a set humidity standard threshold; If the real-time soil moisture value is less than the set moisture standard threshold, the irrigation gate device is controlled to lift the gate to transport water to the farmland for irrigation; When the real-time soil moisture value of the farmland is not less than the set humidity standard threshold, the user terminal sends a gate closing instruction to the irrigation gate device to stop irrigation.

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