Digital intelligent rural intelligent planting control system

Abstract

The invention discloses a digital intelligent rural intelligent planting control system, which comprises a data acquisition module, a data processing module, an intelligent execution module and a user interaction interface, and is characterized in that a sensor in the data acquisition module is electrically connected with the data processing module in a wired mode; the data processing module is connected with the intelligent execution module through a wireless network, and the user interaction interface is electrically connected with a server where the data processing module is located. According to the system, the yield and quality of crops can be effectively improved through cooperative work of all the modules, the production cost is reduced, and modern development of agricultural production is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of alarm escape equipment, and specifically to a digital rural intelligent planting control system. Background Art

[0002] Traditional agricultural production methods lack effective monitoring methods and technical support, leading to problems such as waste of resources, low production efficiency, and unstable crop yield and quality. With the development of information technology and the Internet of Things, the concept of digital villages has gradually emerged, aiming to transform traditional agriculture through digital and intelligent means to achieve refined management and efficient production. However, most current agricultural management systems have the following shortcomings: First, the data collection method is single and cannot fully reflect the changes in the farmland environment; second, the data processing capacity is limited, and it is difficult to quickly generate scientific planting strategies based on real-time data; third, the execution equipment is not highly automated and still requires a lot of manual intervention; fourth, the interaction between users and the system is not convenient enough, which affects the practicality and popularity of the system.

[0003] In addition, existing systems often lack effective security protection measures, are vulnerable to illegal access and data tampering, and lack timely professional guidance and support when faced with sudden pests and diseases. These problems limit the development of modern agricultural technology and hinder the modernization of agricultural production. Therefore, there is an urgent need for an intelligent planting control system that integrates advanced data collection, processing, execution and user interaction functions to overcome the above defects and improve agricultural production efficiency and management level. Summary of the invention

[0004] 1. Technical Problems Solved

[0005] The technical problems to be solved by the present invention are the various problems mentioned in the above background technology, and a digital rural intelligent planting control system is provided.

[0006] 2. Technical Solution

[0007] In order to solve the above technical problems, the technical solution provided by the present invention is: a digital village intelligent planting control system, comprising:

[0008] Data acquisition module, used to monitor soil moisture, temperature, light intensity, climate conditions, and pests and diseases in farmland in real time;

[0009] A data processing module, used to receive the information collected by the data collection module, and analyze and process the information to form a planting decision suggestion;

[0010] An intelligent execution module, used to automatically adjust irrigation, fertilization, spraying and other farming activities in the farmland according to the planting decision suggestions;

[0011] User interface, used to display farmland status, receive planting suggestions, and allow users to set up the system;

[0012] The sensor in the data acquisition module is electrically connected to the data processing module via a wired manner, the data processing module is connected to the intelligent execution module via a wireless network, and the user interaction interface is electrically connected to the server where the data processing module is located.

[0013] As an improvement, the data acquisition module includes a soil moisture sensor, a weather station, a drone and a video monitoring device.

[0014] As an improvement, the data processing module further includes a cloud computing platform for storing and analyzing big data from the data acquisition module and providing an optimized planting strategy based on big data analysis.

[0015] As an improvement, the intelligent execution module includes an intelligent tractor, a seed drill, an irrigation system, a fertilization equipment and a pesticide spraying device, all of which are equipped with an automatic navigation system and a remote control system.

[0016] As an improvement, the user interaction interface is a Web-based application or a mobile application, and the user can access the interface through the Internet or a mobile network.

[0017] As an improvement, it also includes a security protection mechanism to prevent unauthorized access and data tampering and ensure the stable operation of the system.

[0018] As an improvement, an expert consulting system connected to the system is also included, which can automatically send an alarm to agricultural experts and request remote diagnosis when the system detects an abnormal situation.

[0019] As an improvement, a data analysis module is also included to record and analyze historical farmland data to provide reference for future planting decisions.

[0020] 3. Beneficial Effects

[0021] The advantages of the present invention compared with the prior art are:

[0022] 1. The digital village intelligent planting control system proposed in the present invention realizes real-time monitoring of farmland environmental parameters and automated operation control by integrating data acquisition module, data processing module, intelligent execution module and user interaction interface. The sensor in the data acquisition module is electrically connected to the data processing module by wire, ensuring the stability and accuracy of data transmission; the data processing module and the intelligent execution module are connected through a wireless network, so that irrigation, fertilization, spraying and other operations in the farmland can be automatically adjusted according to the results of real-time analysis, thereby improving operation efficiency and accuracy. The user interaction interface is electrically connected to the server where the data processing module is located, so that users can check the status of the farmland, receive planting suggestions and set up the system at any time.

[0023] 2. The system of the present invention also integrates a cloud computing platform, uses big data analysis to provide optimized planting strategies, and enhances the intelligence level of the system; the intelligent execution module is equipped with an automatic navigation system and a remote control system, which further reduces the labor intensity of farmers. The system also includes a security protection mechanism, which effectively prevents unauthorized access and data tampering, and ensures the stable operation of the system. Through linkage with the expert consulting system, the system can automatically request remote diagnosis when an abnormal situation is detected, improving the ability to respond to emergencies. Finally, the data analysis module records and analyzes historical farmland data, providing a scientific basis for future planting decisions, generally improving the yield and quality of crops, and reducing production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a structural diagram of a digital village intelligent planting control system of the present invention. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0026] Embodiment 1

[0027] like Figure 1 As shown, a digital village intelligent planting control system includes:

[0028] A data acquisition module is used to monitor the soil moisture, temperature, light intensity, climate conditions and pests and diseases of farmland in real time, wherein the data acquisition module includes but is not limited to soil moisture sensors, weather stations, drones and video monitoring devices,

[0029] A data processing module, for receiving the information collected by the data collection module, and analyzing and processing the information to form a planting decision suggestion, the data processing module further includes a cloud computing platform, for storing and analyzing the big data from the data collection module, and providing an optimized planting strategy based on the big data analysis;

[0030] An intelligent execution module, used to automatically adjust irrigation, fertilization, spraying and other farming activities in the farmland according to the planting decision suggestions, wherein the intelligent execution module includes an intelligent tractor, a seed drill, an irrigation system, a fertilization device and a pesticide spraying device, all of which are equipped with an automatic navigation system and a remote control system;

[0031] A user interface for displaying farmland status, receiving planting suggestions, and allowing the user to set up the system, wherein the user interface is a web-based application or a mobile application that the user can access through the Internet or a mobile network;

[0032] The sensor in the data acquisition module is electrically connected to the data processing module through a wired manner, the data processing module is connected to the intelligent execution module through a wireless network, the user interaction interface is electrically connected to the server where the data processing module is located, and also includes a security protection mechanism for preventing unauthorized access and data tampering to ensure the stable operation of the system, and also includes an expert consulting system connected to the system. When the system detects an abnormal situation, it can automatically send an alarm to agricultural experts and request remote diagnosis. It also includes a data analysis module for recording and analyzing historical farmland data to provide a reference for future planting decisions.

[0033] The specific connections of each component are as follows:

[0034] Connection method between data acquisition module and data processing module:

[0035] Hardware interface: Various sensors in the data acquisition module (such as soil moisture sensor, temperature sensor, light sensor, etc.) are connected to the central data processing unit (such as edge computing device or gateway) through wireless or wired methods (such as Wi-Fi, LoRa, Zigbee, Bluetooth, etc.).

[0036] Software protocol: Data transmission adopts standard IoT communication protocols (such as MQTT, CoAP, etc.) to ensure data security and reliability.

[0037] Data format: The data collected by the sensor is transmitted in JSON, XML or other structured formats to facilitate parsing and processing by the data processing module.

[0038] The connection method between the data processing module and the intelligent execution module:

[0039] Command issuance: After the data processing module analyzes and processes the data, it will generate corresponding control instructions based on the preset logic or algorithm. These instructions are sent to intelligent execution devices (such as smart tractors, irrigation systems, etc.) through wireless or wired networks.

[0040] Execution feedback: The intelligent execution module performs corresponding actions after receiving the control instructions, and feeds back the execution results to the data processing module to form a closed-loop control system.

[0041] Cloud services: For complex computing tasks, the data processing module can also call cloud services through APIs to perform advanced analysis and decision making, and then return the results to the local execution device.

[0042] Connection method between user interface and data processing module:

[0043] Front-end application: The user interface can be a web-based application or a mobile application, which communicates with the server where the data processing module is located through the HTTP(S) protocol.

[0044] Data display: The user interface obtains farmland status information from the data processing module and displays it to the user in the form of charts, lists, etc., while also providing functions such as data export.

[0045] Remote control: Users can input commands through the interactive interface to change system settings, such as adjusting irrigation plans, fertilizer amounts, etc. These commands are also transmitted to the data processing module through the network for processing.

[0046] Security protection mechanism:

[0047] Authentication: All devices and users must be authenticated before they can access the system, usually using methods such as username and password, tokens, and biometrics.

[0048] Encrypted transmission: All sensitive data should use encryption technology (such as TLS / SSL) during transmission to ensure data security.

[0049] Firewalls and Intrusion Detection: Firewalls and intrusion detection systems are deployed at the network level to prevent unauthorized access and malicious attacks.

[0050] When the present invention is implemented, the system mainly includes four parts: a data acquisition module, a data processing module, an intelligent execution module, and a user interaction interface. The data acquisition module monitors the soil moisture, temperature, light intensity, climate conditions, and pests and diseases in the farmland in real time through soil moisture sensors, temperature sensors, light intensity sensors, weather stations and other equipment installed in the farmland, as well as drones and video monitoring devices used to monitor the farmland environment and crop growth conditions. These sensors are directly electrically connected to the data processing module by wire to ensure the reliability and stability of data transmission. The data processing module receives information from the data acquisition module, and uses a built-in analysis algorithm to comprehensively process this information to form planting decision recommendations for the current farmland environment conditions.

[0051] In addition, the data processing module is also connected to the cloud computing platform to provide users with more accurate optimization planting strategies through big data analysis. The intelligent execution module includes intelligent tractors, seed drills, irrigation systems, fertilization equipment, and pesticide spraying devices. These devices are equipped with automatic navigation systems and remote control systems. They can receive control instructions from the data processing module through wireless networks and automatically adjust irrigation, fertilization, spraying and other agricultural activities in the farmland. The user interaction interface is designed in the form of a Web-based application or mobile application. Users can access the interface through the Internet or mobile network to view the status of the farmland in real time, receive planting suggestions, and make various settings for the system. In order to ensure the security of the system, this system is also equipped with a security protection mechanism to prevent unauthorized access and data tampering to ensure the stable operation of the system. In addition, the system is also connected to the expert consulting system. When the system detects an abnormal situation, it can automatically send an alarm to agricultural experts and request remote diagnosis. Finally, there is also a data analysis module in the system to record and analyze the historical data of the farmland to provide a scientific basis for future planting decisions. Through the collaborative work of the above modules, this system can effectively improve the yield and quality of crops, reduce production costs, and promote the modernization of agricultural production.

[0052] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0053] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

[0054] The present invention and its embodiments are described above, and such description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if ordinary technicians in the field are inspired by it, without departing from the purpose of the invention, they can design a structure and embodiment similar to the technical solution without creativity, which should belong to the protection scope of the present invention.

Claims

1. A digital village intelligent planting control system, characterized in that: include: Data acquisition module, used to monitor soil moisture, temperature, light intensity, climate conditions, and pests and diseases in farmland in real time; A data processing module, used to receive the information collected by the data collection module, and analyze and process the information to form a planting decision suggestion; An intelligent execution module, used to automatically adjust irrigation, fertilization, spraying and other farming activities in the farmland according to the planting decision suggestions; User interface, used to display farmland status, receive planting suggestions, and allow users to set up the system; The sensor in the data acquisition module is electrically connected to the data processing module via a wired manner, the data processing module is connected to the intelligent execution module via a wireless network, and the user interaction interface is electrically connected to the server where the data processing module is located.

2. According to claim 1, the digital village intelligent planting control system is characterized in that: The data acquisition module includes a soil moisture sensor, a weather station, a drone and a video monitoring device.

3. The digital village intelligent planting control system according to claim 1 is characterized in that: The data processing module further includes a cloud computing platform for storing and analyzing big data from the data acquisition module and providing an optimized planting strategy based on big data analysis.

4. The digital village intelligent planting control system according to claim 1 is characterized in that: The intelligent execution modules include intelligent tractors, seed drills, irrigation systems, fertilization equipment and pesticide spraying devices, all of which are equipped with automatic navigation systems and remote control systems.

5. The digital village intelligent planting control system according to claim 1 is characterized in that: The user interaction interface is a Web-based application or a mobile application, and users can access the interface through the Internet or a mobile network.

6. The digital village intelligent planting control system according to claim 1 is characterized in that: It also includes security protection mechanisms to prevent unauthorized access and data tampering and ensure the stable operation of the system.

7. The digital village intelligent planting control system according to claim 1 is characterized in that: It also includes an expert consulting system connected to the system, which can automatically send an alarm to an agricultural expert and request remote diagnosis when the system detects an abnormal situation.

8. The digital village intelligent planting control system according to claim 1 is characterized in that: It also includes a data analysis module for recording and analyzing historical farmland data to provide reference for future planting decisions.

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