A smart irrigation alarm monitoring system, method, device, and storage medium for farmland.

Abstract

This invention proposes a smart irrigation alarm and monitoring system, method, device, and storage medium for farmland. It utilizes idle mobile phones as data acquisition devices to collect, report, and preprocess images of farmland irrigation. A deep learning model is used to detect and identify objects in the images, including crops, land, and water flow. Simultaneously, optical flow estimation motion detection technology is used to analyze the water flow state, determine whether irrigation is complete, and report the analysis results to an IoT platform to control the start and stop of networked water meters in farmland wells. Furthermore, this invention can push irrigation completion notifications to user terminals and deduct fees from farmers' water meter accounts. Through these information technology methods, this invention can achieve alarm and monitoring of farmland irrigation at a relatively low hardware cost, significantly improving farmers' productivity.

Description

Technical Field

[0001] This invention relates to the field of smart agriculture technology, and more specifically to a smart irrigation alarm monitoring system, method, device, and storage medium for farmland. Background Technology

[0002] While significant progress has been made in the current process of large-scale and intensive land transfer in rural areas, a series of pressing problems remain. This is particularly true for the large number of smallholder farmers and large-scale growers, whose economic activities are often limited by low-cost inputs and discontinuous land distribution, making the construction of large-scale smart agriculture systems especially difficult. Against this backdrop, exploring a low-cost, easy-to-implement, and adaptable smart solution to the current agricultural landscape is of paramount importance.

[0003] Traditional farmland irrigation methods mostly employ flood irrigation, which requires manual estimation of irrigation time and regular inspections, as well as manual cessation of operations after irrigation. The entire process is time-consuming, labor-intensive, and inefficient. More importantly, the inaccuracy of manual estimation often leads to significant waste of farmland water resources, increasing agricultural production costs and causing unnecessary water consumption, thus violating the principles of sustainable development. Therefore, developing an intelligent system capable of irrigation alarms and real-time monitoring is crucial for improving irrigation efficiency, conserving water resources, reducing production costs, and promoting sustainable agricultural development. Summary of the Invention

[0004] To address the above problems, the present invention aims to provide a smart irrigation alarm monitoring system, method, device, and storage medium for farmland, which can realize alarm and monitoring of farmland irrigation with low hardware cost, and significantly improve the work efficiency of farmland irrigation.

[0005] To achieve the above objectives, the present invention employs the following technical solution:

[0006] In a first aspect, the present invention discloses a smart irrigation alarm monitoring system for farmland, comprising:

[0007] User irrigation monitoring App terminal, farmland data acquisition equipment terminal, AI analysis and decision-making platform, IoT management platform, smart irrigation well room and farmland irrigation account management platform;

[0008] The user irrigation monitoring App terminal is used to establish the association between user accounts, farmland data acquisition equipment terminals, smart water meters and water supply device electricity meters, and bind the association. Based on user account permissions, it sends power supply commands to the Internet of Things management platform to control the opening of water gates in farmland wells.

[0009] The farmland data acquisition equipment terminal is mounted on a waterproof bracket and fixed at the starting, middle, and ending areas of the farmland irrigation water flow path. It is used to collect image data in real time and upload it to the AI ​​analysis and decision-making platform. The AI ​​analysis and decision-making platform is used to analyze the image data based on the YOLO deep learning model and combine optical flow estimation to judge the farmland irrigation status. It sends the farmland irrigation status judgment results to the IoT management platform in real time, enabling the IoT management platform to control the start and stop of smart water meters and water supply device electricity meters. The IoT management platform is used to manage all smart water meters, water supply devices, and water supply device electricity meters in the farmland well room according to the control commands uploaded by the user irrigation monitoring App terminal or the AI ​​analysis and decision-making platform and the farmland irrigation status judgment results. It also updates the electricity and water consumption data of relevant user accounts in real time and synchronizes them to the farmland irrigation account management platform.

[0010] The intelligent irrigation well room is equipped with multiple smart water meters and a water supply device. The water supply device is equipped with a water supply device electricity meter, which is used to receive instructions from the Internet of Things management platform and to start and stop the smart water meters and water supply device electricity meters associated with the user account.

[0011] The farmland irrigation account management platform is used to manage users' electricity and water meter accounts based on their electricity and water consumption data.

[0012] Furthermore, both the user irrigation monitoring app terminal and the farmland data acquisition equipment terminal use smartphones.

[0013] Furthermore, the farmland data acquisition equipment terminal is equipped with an irrigation data acquisition app;

[0014] The irrigation data collection app is used for:

[0015] Log in to your user account. Once logged in, the irrigation data acquisition app will remain running in the foreground.

[0016] It provides a settings interface for adjusting the shooting interval of the smartphone camera, taking photos periodically, and uploading the image data to the AI ​​analysis and decision-making platform.

[0017] Furthermore, the AI ​​analysis and decision-making platform is specifically used for:

[0018] Use OpenCV to load image data uploaded from the farmland data acquisition device terminal and perform preprocessing;

[0019] Using the YOLO deep learning model, identify crop, land, and water features in image data;

[0020] Based on the recognition results, the uploaded images are processed by comparing them frame by frame, and optical flow estimation is used to detect whether water flows through them.

[0021] When water flow is detected, the monitoring area status of the corresponding farmland data acquisition device terminal is updated to irrigation status, relevant status information is generated and sent to the IoT management platform:

[0022] When water flow is detected, if the corresponding farmland data acquisition equipment terminal is located at the end of the farmland irrigation water flow path, it sends a power-off command for the relevant smart water meter and irrigation completion information to the Internet of Things management platform.

[0023] Furthermore, the IoT management platform is specifically used for:

[0024] Based on the status information uploaded by the AI ​​analysis and decision-making platform, the relevant status records are updated in real time.

[0025] Upon receiving the power outage command and irrigation completion information uploaded by the AI ​​analysis and decision-making platform, the system controls the power meter of the water supply device to cut off the power and generates an alarm notification indicating that irrigation is complete, which is then sent to the user's irrigation monitoring App terminal.

[0026] The system acquires and parses messages reported by the smart water pumps in real time, determines the electricity and water consumption data of user accounts based on the parsing results, and updates them synchronously to the farmland irrigation account management platform.

[0027] Furthermore, the smart water meter has a unique device code, which is used to bind it to the user's account when in use.

[0028] Furthermore, the farmland irrigation account management platform is specifically used for:

[0029] After irrigation is completed, the water meter account balance of the corresponding user is deducted based on the user account and the user account's water consumption data.

[0030] Secondly, this invention also discloses a method for monitoring and alarming intelligent irrigation in farmland, comprising:

[0031] After the farmland irrigation is started, image data of the starting, middle and ending areas of the farmland irrigation water flow path are collected in real time;

[0032] YOLO-based deep learning models are used to detect and identify image data, in order to identify crops, land and water flow;

[0033] Based on the identification results, the water flow state is judged by combining optical flow estimation method to determine the irrigation status of farmland and generate the judgment result;

[0034] Based on the judgment result, determine whether farmland irrigation is completed. When farmland irrigation is completed, control the corresponding smart water meter and water supply device to shut down, issue an irrigation completion notification, and deduct fees from the relevant water meter account.

[0035] Thirdly, the present invention also discloses a smart irrigation alarm monitoring device for farmland, comprising:

[0036] The memory is used to store the intelligent irrigation alarm monitoring program for farmland;

[0037] A processor is used to implement the steps of the intelligent irrigation alarm monitoring method described above when executing the intelligent irrigation alarm monitoring program for farmland.

[0038] Fourthly, the present invention also discloses a readable storage medium storing a smart irrigation alarm monitoring program for farmland, wherein when the smart irrigation alarm monitoring program for farmland is executed by a processor, it implements the steps of the smart irrigation alarm monitoring method for farmland as described in any of the above.

[0039] Compared with existing technologies, the advantages of this invention are as follows: This invention discloses a smart irrigation alarm and monitoring system, method, device, and storage medium for farmland. It can utilize idle mobile phones as data acquisition devices to perform image acquisition, reporting, and preprocessing of farmland irrigation. A deep learning model is used to detect and identify objects in the images, including crops, land, and water flow. Simultaneously, optical flow estimation motion detection technology is used to analyze the water flow state, determine whether farmland irrigation is complete, and report the analysis results to an IoT platform to control the start and stop of networked water meters for farmland wells. Furthermore, this invention can push irrigation completion notifications to user terminals and connect to farmers' water meter accounts for payment deduction. Through these information technology methods, this invention can achieve alarm and monitoring of farmland irrigation at a relatively low hardware cost, significantly improving farmers' productivity.

[0040] This invention utilizes farmers' idle smartphones as farmland data collection devices. These devices can be fixed to waterproof brackets and flexibly placed anywhere in the farmland, and can be removed promptly after irrigation. By installing a data collection application, the phone can report and preprocess images, eliminating the need to purchase IoT devices such as cameras, thus significantly reducing farmers' hardware costs in the smart agriculture system.

[0041] This invention utilizes a deep learning model to analyze periodically uploaded images of farmland irrigation, and uses computer vision technology to determine whether irrigation is complete. Compared to traditional hardware devices for monitoring water flow, this invention effectively reduces monitoring costs.

[0042] This invention integrates the internet and other information technology tools to achieve seamless connectivity between farmers' personal mobile phones, an IoT platform for farmland irrigation, and water meter account information. This innovation aims to provide farmers with real-time monitoring of irrigation progress, enabling them to remotely start, control, and monitor irrigation operations via their mobile phones. This not only improves irrigation efficiency but also effectively reduces costs, providing strong support for agricultural modernization.

[0043] Therefore, it is evident that the present invention has outstanding substantive features and significant progress compared with the prior art, and the beneficial effects of its implementation are also obvious. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0045] Figure 1 This is a system structure diagram of a specific embodiment of the present invention.

[0046] Figure 2 This is a flowchart illustrating a specific embodiment of the present invention. Detailed Implementation

[0047] To enable those skilled in the art to better understand the present invention, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] See Figure 1 As shown in the figure, this embodiment provides a smart irrigation alarm monitoring system for farmland, including: a user irrigation monitoring App terminal, a farmland data acquisition equipment terminal, an AI analysis and decision-making platform, an Internet of Things management platform, a smart irrigation well room, and a farmland irrigation account management platform.

[0049] The user irrigation monitoring App terminal is used to establish and bind the association between user accounts, farmland data acquisition equipment terminals, smart water meters, and water supply device electricity meters, and to issue power supply commands to the IoT management platform based on user account permissions in order to control the opening of water gates in farmland wells.

[0050] As an example, to facilitate irrigation monitoring for farmers, this system includes an irrigation monitoring app. Farmers simply need to install the application on their smartphones and bind their data acquisition devices to begin using it.

[0051] When irrigating, the user needs to click the "Start Irrigation" button, then enter the target water meter device number and click "OK" to proceed to the next step. In the next step, the user can see the currently powered-on and online data acquisition terminals and can select multiple data acquisition terminals. Finally, click "OK" to establish the binding relationship between the meter, the user, and the data acquisition terminals. Once the binding relationship is established, the backend will call the IoT management platform to issue a power supply command to the smart water meter, thereby causing the farmland well to start opening the water gate.

[0052] The farmland data acquisition equipment terminal is installed on a waterproof bracket and fixed at the starting, middle and ending areas of the farmland irrigation water flow path. It is used to collect image data in real time and upload it to the AI ​​analysis and decision-making platform.

[0053] In a specific implementation, the farmland data acquisition equipment terminal is equipped with an irrigation data acquisition app.

[0054] The irrigation data acquisition app is used to: log in to a user account; after logging in, the irrigation data acquisition app will always run in the foreground; and provide a settings interface for adjusting the photo-taking interval of the smartphone camera, taking photos periodically and uploading the image data to the AI ​​analysis and decision-making platform.

[0055] As an example, farmers can use multiple unused smartphones as farmland data collection terminals, mounting them on waterproof brackets and fixing them at the start, middle, and end points of the irrigation water flow path. To ensure continuous power supply, they can be fully charged in advance or equipped with temporary power supplies such as power banks. Next, an irrigation data collection app is installed on these smartphones, and the farmer's account is logged in, ensuring the app is always running in the foreground or in the background to prevent it from going dormant. Through settings, users can adjust the camera's photo interval, periodically taking pictures and uploading the data to an AI analysis and decision-making platform. After irrigation is complete, the devices are then retrieved and stored.

[0056] The AI ​​analysis and decision-making platform is used to analyze image data based on the YOLO deep learning model, and to judge the irrigation status of farmland by combining optical flow estimation. The judgment results of the irrigation status are sent to the IoT management platform in real time, so that the IoT management platform can control the start and stop of smart water meters and water supply device electricity meters.

[0057] In a specific implementation, the AI ​​analysis and decision-making platform is specifically used for:

[0058] Use OpenCV to load image data uploaded from the farmland data acquisition device terminal and perform preprocessing;

[0059] Using the YOLO deep learning model, identify crop, land, and water features in image data;

[0060] Based on the recognition results, the uploaded images are processed by comparing them frame by frame, and optical flow estimation is used to detect whether water flows through them.

[0061] When water flow is detected, the monitoring area status of the corresponding farmland data acquisition device terminal is updated to irrigation status, relevant status information is generated and sent to the IoT management platform:

[0062] When water flow is detected, if the corresponding farmland data acquisition equipment terminal is located at the end of the farmland irrigation water flow path, it sends a power-off command for the relevant smart water meter and irrigation completion information to the Internet of Things management platform.

[0063] As an example, the AI ​​analysis and decision-making platform uses a YOLO-based deep learning model, trained with a large amount of farmland irrigation sample data, and combines optical flow estimation to determine the irrigation status of farmland. It mainly consists of two parts: object recognition and motion detection.

[0064] First, the AI ​​analysis and decision-making platform uses OpenCV to load the image information uploaded by the acquisition terminal and performs preprocessing, including resizing to a uniform size and converting to grayscale. Next, it uses a pre-trained YOLO deep learning model to identify elements such as crops, land, and water flow in the image information. Then, it processes the uploaded image by comparing pixels frame by frame and uses optical flow estimation to detect whether water flow has occurred. When water flow is detected, the irrigation status of the farmland data acquisition device is updated to the IoT management platform. If the device is located in the irrigation endpoint area, the IoT management platform will receive a power-off command from the water meter and send an alarm notification to the user terminal indicating that irrigation is complete.

[0065] The IoT management platform is used to manage all smart water meters, water supply devices, and electricity meters in farmland well rooms based on control commands uploaded by users' irrigation monitoring App terminals or AI analysis and decision-making platforms and the results of farmland irrigation status judgments. It also updates the electricity and water consumption data of relevant user accounts in real time and synchronizes them to the farmland irrigation account management platform.

[0066] In a specific implementation, the IoT management platform is specifically used for:

[0067] Based on the status information uploaded by the AI ​​analysis and decision-making platform, the relevant status records are updated in real time.

[0068] Upon receiving the power outage command and irrigation completion information uploaded by the AI ​​analysis and decision-making platform, the system controls the power meter of the water supply device to cut off the power and generates an alarm notification indicating that irrigation is complete, which is then sent to the user's irrigation monitoring App terminal.

[0069] The system acquires and parses messages reported by the smart water pumps in real time, determines the electricity and water consumption data of user accounts based on the parsing results, and updates them synchronously to the farmland irrigation account management platform.

[0070] As an example, the IoT management platform manages all smart water meter devices in the farmland well room. These devices can receive operation commands from user terminals (user irrigation monitoring app terminals) or AI analysis and decision-making platforms, and parse the messages reported by the smart water meters. Through these operations, the electricity consumption data of the farmers' accounts can be updated and synchronized to the farmland irrigation account management platform.

[0071] The intelligent irrigation well room is equipped with multiple smart water meters and a water supply device. The water supply device is equipped with a water supply device electricity meter, which is used to receive instructions from the Internet of Things management platform to start and stop the smart water meters and water supply device electricity meters associated with the user account.

[0072] As an example, the smart irrigation well room is equipped with multiple smart water meters and a water supply system for irrigating nearby farmland. Each smart water meter has a unique device code and is bound to a user account during use. Through message encoding, the user's data and electricity consumption are uploaded to the IoT management platform, and the user can also receive instructions from the IoT management platform to start and stop the equipment.

[0073] The farmland irrigation account management platform is used to manage users' electricity and water meter accounts based on their electricity and water consumption data.

[0074] In a specific implementation, the farmland irrigation account management platform is used for:

[0075] After irrigation is completed, the water meter account balance of the corresponding user is deducted based on the user account and the user account's water consumption data.

[0076] As an example, the farmland irrigation account management platform manages farmers' water meter accounts. Farmers need to pre-load a certain amount into their water meter accounts before irrigation. After irrigation, the system will deduct the balance from the farmer's account based on the water consumption reported by the IoT management platform and the farmer's unique identifier.

[0077] See Figure 2 As shown, based on the above-mentioned intelligent irrigation alarm monitoring system for farmland, this invention also discloses an intelligent irrigation alarm monitoring method for farmland. This method employs the intelligent irrigation alarm monitoring system for farmland and specifically includes the following steps:

[0078] S1: After starting farmland irrigation, collect image data of the starting, middle and ending areas of the farmland irrigation water flow path in real time.

[0079] S2: YOLO-based deep learning models are used to detect and identify image data to identify crops, land, and water flow.

[0080] S3: Based on the recognition results, the water flow state is judged by combining optical flow estimation method to determine the irrigation status of farmland and generate the judgment result.

[0081] S4: Determine whether farmland irrigation is complete based on the judgment result. When farmland irrigation is complete, control the corresponding smart water meter and water supply device to shut down, issue an irrigation completion notification, and deduct fees from the relevant water meter account.

[0082] The specific implementation method of the intelligent irrigation alarm monitoring method for farmland in this embodiment is basically the same as the specific implementation method of the intelligent irrigation alarm monitoring system for farmland described above, and will not be repeated here.

[0083] The present invention also discloses a smart irrigation alarm monitoring device for farmland, comprising a processor and a memory; wherein, when the processor executes the smart irrigation alarm monitoring program for farmland stored in the memory, it implements the steps of the smart irrigation alarm monitoring method for farmland as described in any of the above.

[0084] Furthermore, the intelligent irrigation alarm monitoring device for farmland in this embodiment may also include:

[0085] The input interface is used to acquire imported intelligent irrigation alarm monitoring programs for farmland and save these programs to the memory. It can also acquire various instructions and parameters transmitted from external terminal devices and transmit them to the processor, allowing the processor to perform corresponding processing. In this embodiment, the input interface may include, but is not limited to, a USB interface, a serial interface, a voice input interface, a fingerprint input interface, and a hard disk read interface.

[0086] An output interface is used to output various data generated by the processor to connected terminal devices, so that other terminal devices connected to the output interface can obtain the various data generated by the processor. In this embodiment, the output interface may include, but is not limited to, a USB interface, a serial interface, etc.

[0087] A communication unit is used to establish a remote communication connection between the intelligent irrigation alarm monitoring device and an external server, so that the intelligent irrigation alarm monitoring device can mount the image file to the external server. In this embodiment, the communication unit may specifically include, but is not limited to, a remote communication unit based on wireless communication technology or wired communication technology.

[0088] The keyboard is used to acquire various parameter data or commands input by the user through real-time keystrokes.

[0089] The display is used to show relevant information in real time during the process of monitoring and alarming farmland smart irrigation.

[0090] A mouse can be used to assist users in inputting data and simplifying user operations.

[0091] This invention also discloses a readable storage medium, which includes random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable hard disk, CD-ROM, or any other form of storage medium known in the art. The readable storage medium stores a smart irrigation alarm monitoring program for farmland, which, when executed by a processor, implements the steps of the smart irrigation alarm monitoring method for farmland as described in any of the above descriptions.

[0092] In summary, this invention can achieve alarm and monitoring of farmland irrigation with low hardware cost, significantly improving the efficiency of farmland irrigation.

[0093] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. The methods disclosed in the embodiments are described simply because they correspond to the systems disclosed in the embodiments; relevant details can be found in the method section.

[0094] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0095] In the embodiments provided by this invention, it should be understood that the disclosed systems, methods, and approaches can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between systems or units may be electrical, mechanical, or other forms.

[0096] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0097] In addition, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit.

[0098] Similarly, in the various embodiments of the present invention, each processing unit can be integrated into a functional module, or each processing unit can exist physically, or two or more processing units can be integrated into a functional module.

[0099] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0100] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0101] The above provides a detailed description of the intelligent irrigation alarm monitoring system, method, device, and readable storage medium for farmland provided by this invention. Specific examples have been used to illustrate the principles and implementation methods of this invention. The descriptions of the embodiments above are merely for the purpose of helping to understand the method and core ideas of this invention. It should be noted that those skilled in the art can make various improvements and modifications to this invention without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of this invention.

Claims

1. An intelligent irrigation warning monitoring system for agricultural fields, characterized by, The application relates to a user irrigation monitoring App terminal, a farmland data acquisition device terminal, an AI analysis and decision platform, an Internet of Things management platform, an intelligent irrigation well machine room and a farmland irrigation account management platform. The user irrigation monitoring App terminal is used for establishing the association relationship of a user account, a farmland data acquisition device terminal, an intelligent water meter and a water supply device electric meter, binding the association relationship, and issuing a power supply instruction to the Internet of Things management platform based on the user account permission to control the farmland well to open the water gate. The farmland data acquisition device terminal is installed on a waterproof support and fixed at the starting point, the middle point and the terminal point area of a farmland irrigation water flow path, is used for collecting image data in real time, and uploads the image data to the AI analysis and decision platform. The AI analysis and decision platform is used for analyzing the image data based on a YOLO deep learning model, judging the farmland irrigation state by combining a light flow estimation method, and sending the farmland irrigation state judgment result to the Internet of Things management platform in real time, so that the Internet of Things management platform controls the intelligent water meter and the water supply device electric meter to start and stop. The Internet of Things management platform is used for managing all the intelligent water meters, water supply devices and water supply device electric meters in the farmland well machine room according to the control instruction and the farmland irrigation state judgment result uploaded by the user irrigation monitoring App terminal or the AI analysis and decision platform, and updating the power consumption data and the water consumption data of the related user account in real time, and synchronizing to the farmland irrigation account management platform. The intelligent irrigation well machine room is provided with a plurality of intelligent water meters and a set of water supply devices, the water supply device is provided with a water supply device electric meter, and the intelligent irrigation well machine room is used for receiving the instruction issued by the Internet of Things management platform and performing start and stop operation on the intelligent water meter and the water supply device electric meter associated with the user account. The farmland irrigation account management platform is used for managing the electric meter account and the water meter account of the user according to the power consumption data and the water consumption data of the user account. The AI analysis and decision platform is specifically used for: loading the image data uploaded by the farmland data acquisition device terminal by using OpenCV and performing pretreatment; recognizing crops, land and water flow elements in the image data by using a YOLO deep learning model; processing the uploaded image by pixel frame comparison based on the recognition result, and detecting whether water flow passes by by using a light flow estimation method; when detecting that water flow passes by, updating the monitoring area state of the corresponding farmland data acquisition device terminal to an irrigation state, generating related state information and sending the state information to the Internet of Things management platform; when detecting that water flow passes by, if the corresponding farmland data acquisition device terminal is arranged at the terminal point area of the farmland irrigation water flow path, sending a power-off instruction of the related intelligent water meter and irrigation completion information to the Internet of Things management platform. The user irrigation monitoring App terminal and the farmland data acquisition device terminal are both smart phones.

2. The intelligent warning monitoring system for irrigation in farmland according to claim 1, wherein, The farmland data acquisition device terminal is provided with an irrigation data acquisition App.

3. The smart irrigation warning monitoring system for farmland according to claim 2, wherein, The irrigation data acquisition App is used for: logging in the user account, and keeping the irrigation data acquisition App in a foreground running state after logging in; providing a setting function interface for adjusting the photographing interval of the smart phone camera, regularly taking pictures and uploading image data to the AI analysis and decision platform. ​ 4. The intelligent warning monitoring system for irrigation of farmlands as claimed in claim 3 wherein, The Internet of Things management platform is specifically used for: According to the state information uploaded by the AI analysis and decision platform, the relevant state records are updated in real time; When receiving the power-off instruction and irrigation completion information uploaded by the AI analysis and decision platform, the water supply device meter is powered off, and an irrigation completion alarm notification is generated and sent to the user irrigation monitoring App terminal; Real-time acquisition and analysis of the message reported by the intelligent water meter, determination of the electricity consumption data and water consumption data of the user account according to the analysis result, and synchronous update to the farmland irrigation account management platform.

5. The smart irrigation warning monitoring system for farmlands as claimed in claim 1 wherein, The intelligent water meter is provided with a unique device code, which is used to bind with the user account during use.

6. The intelligent warning monitoring system for irrigation of farmlands as claimed in claim 1 wherein, The farmland irrigation account management platform is specifically used for: After the irrigation is completed, the balance of the corresponding water meter account of the user is deducted according to the user account and the water consumption data of the user account.

7. A farmland intelligent irrigation warning monitoring method, characterized in that, The method uses the farmland intelligent irrigation alarm monitoring system according to any one of claims 1 to 6; The method comprises: After starting the farmland irrigation, image data of the starting point, middle point and end point areas of the farmland irrigation water flow path are collected in real time; YOLO-based deep learning model is used to detect and identify the image data to identify crops, land and water flow; Based on the identification result, the water flow state is judged by combining the optical flow estimation method to determine the farmland irrigation state and generate a judgment result; According to the judgment result, it is determined whether the farmland irrigation is completed, when the farmland irrigation is completed, the corresponding intelligent water meter and water supply device are controlled to be closed, the irrigation completion notification is sent, and the related water meter account is charged.

8. An intelligent irrigation warning monitoring device for farmland, characterized in that, It comprises: A memory for storing a farmland intelligent irrigation alarm monitoring program; A processor for executing the farmland intelligent irrigation alarm monitoring program to realize the steps of the farmland intelligent irrigation alarm monitoring method according to claim 7.

9. A readable storage medium characterized by: The readable storage medium stores a farmland intelligent irrigation alarm monitoring program, and the farmland intelligent irrigation alarm monitoring program is executed by the processor to realize the steps of the farmland intelligent irrigation alarm monitoring method according to claim 7.

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