Intelligent farmland monitoring system based on internet of things technology

Abstract

The present invention relates to an intelligent farmland monitoring system based on Internet of Things technology. Humidity, temperature, carbon dioxide, illumination intensity data and soil parameter data in farmland soil and air, and inspection data of patrol personnel are continuously collected by means of a data collection communication module and a farmland monitoring device, so as to gain a comprehensive understanding of growth environment conditions of crops; after the analysis of an intelligent analysis module, abnormal information events adverse to the growth of the crops can be detected in real time; and a relevant party in charge is notified by means of an alarm and notification module to perform operation processing such as timely watering and fertilization, such that effective monitoring and management of the growth environment of farmland crops can be realized, and thus not only is the labor cost saved on, but also the growth efficiency of crops is improved, thereby improving the yield of agricultural products.

Description

A smart farmland monitoring system based on Internet of Things technology Technical Field

[0001] The present invention relates to a smart farmland monitoring system based on Internet of Things technology, belonging to the technical field of application of smart agricultural management. Background Art

[0002] Agriculture is a foundational industry for the development of my country's national economy. Traditional agricultural production models have long been plagued by high investment and low yields. Agricultural production personnel struggle to accurately monitor the growing environment of crops, leading to missed opportunities for optimal watering and fertilizing, impacting crop yield and quality. Therefore, a comprehensive and real-time information management system is needed to monitor the crop growth environment. Smart agricultural monitoring and management systems are a key component of smart agricultural applications, capable of collecting information about the crop growth environment and enabling remote, real-time monitoring. Therefore, developing a smart agricultural monitoring and management system specifically tailored to the crop environment is of great significance. Summary of the Invention

[0003] The purpose of the present invention is to solve the above problems and provide a smart farmland monitoring system based on Internet of Things technology. Through the data acquisition and communication components, the humidity, temperature, carbon dioxide, light intensity, soil parameter data in the farmland soil and air, as well as the observation data manually uploaded by the patrol personnel are continuously collected to fully grasp the growth status of crops. After analysis by the intelligent analysis module, abnormal information events that are unfavorable to the growth of crops can be discovered in real time, and the relevant responsible persons can be notified through the alarm module to carry out timely watering and fertilizing and other operations. It can realize effective monitoring and management of the growth environment of farmland crops, with high management efficiency, safety and reliability.

[0004] According to the technical solution provided by the present invention: a smart farmland monitoring system based on Internet of Things technology includes an application server and a data acquisition and communication component, and the data acquisition and communication component is connected to the application server through a database server and a message server.

[0005] The farmland monitoring equipment can transmit farmland environmental data to the data acquisition and communication component through the network. The data acquisition and communication component can parse the received farmland environmental data to obtain the environmental information of the farmland. The data acquisition and communication component stores the parsed farmland environmental information in the database server and writes the parsed farmland environmental information into the message server; the application server can read the farmland environmental information received by the message server from the message server through message subscription, and display and output the read farmland environmental information on the client, thereby realizing the monitoring and management of the farmland.

[0006] The farmland environmental data sent by the farmland monitoring equipment to the data acquisition and communication component include air temperature and humidity, carbon dioxide data, light intensity data, soil temperature and humidity, and soil conductivity parameter data.

[0007] The application server includes an observation and reporting module, a real-time monitoring module, an intelligent analysis module, and an alarm notification module. The observation and reporting module collects information about farmland and crop phenomena observed by observers during patrols; the real-time monitoring module reads real-time farmland environmental information from the message server and observation information collected by the observation and reporting module from the database server, and displays real-time farmland information on the client.

[0008] The intelligent analysis module reads farmland environmental information from the message server and the threshold range information of farmland indicators from the database server, and after analysis by the detection and analysis algorithm, detects whether the current farmland environmental indicator data exceeds the threshold, what anomalies may exist, and what measures need to be taken next.

[0009] The alarm notification module obtains farmland abnormality information and operation suggestion information from the intelligent analysis module, and notifies the farmland person in charge of the abnormality information and operation suggestion information through system messages, emails, and text messages for further confirmation.

[0010] The database server includes a farmland information database, a farmland environment information database, a farmland observation information database, a personnel information database, an agricultural knowledge database, an abnormal information database, and an alarm notification database.

[0011] It also includes a client that can connect to and access the application server. The client includes a browser and a mobile application, and can present the farmland monitoring information read from the application server.

[0012] The beneficial effects of the present invention are as follows: using a data acquisition and communication component to communicate with farmland monitoring equipment, the parsed farmland environmental information is stored in a database server and pushed to a message server. The application server automatically reads the farmland environmental information received from the message server through message subscriptions and displays the read farmland environmental data on the client, thereby achieving real-time monitoring and management of farmland. The intelligent analysis module, based on the farmland environmental information read from the message server and the threshold range information of farmland indicators read from the database server, uses a detection and analysis algorithm to detect whether there are any anomalies in the current farmland, what possible anomalies exist, and what measures need to be taken next. This effectively improves farmland management efficiency, not only saving labor costs but also improving crop growth efficiency, thereby increasing agricultural production. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] FIG1 is a schematic diagram of the overall structure of the present invention.

[0014] FIG2 is a data flow diagram of real-time monitoring in the present invention.

[0015] FIG3 is a data flow diagram of intelligent analysis in the present invention.

[0016] FIG4 is a flow chart of an anomaly detection and analysis algorithm in the present invention. DETAILED DESCRIPTION

[0017] The present invention will be further described below with reference to specific drawings and embodiments.

[0018] Figure 1 shows the overall structure of a smart agricultural monitoring and management system. To effectively monitor and manage the crop growth environment in farmland and improve management efficiency, the present invention includes an application server and a data acquisition and communication component, which is connected to the application server via a database server and a message server.

[0019] The farmland monitoring equipment can transmit farmland environmental data to the data acquisition and communication component through the network. The data acquisition and communication component can parse the received farmland environmental data to obtain the environmental information of the farmland. The data acquisition and communication component stores the parsed farmland environmental information in the database server and writes the parsed farmland environmental information into the message server; the application server can read the farmland environmental information received by the message server from the message server through message subscription, and display and output the read farmland environmental data on the client, thereby realizing the monitoring and management of the farmland.

[0020] Specifically, farmland monitoring equipment refers to data terminals installed in farmland. These devices interact with data acquisition and communication components to collect data on farmland air temperature and humidity, carbon dioxide (CO2) levels, light intensity, soil temperature and humidity, and soil conductivity. These devices and data acquisition and communication components communicate wirelessly, using commonly used wireless connection methods such as 3G and 4G networks.

[0021] The application server includes an observation and reporting module, a real-time monitoring module, an intelligent analysis module, an alarm notification module, a system management module, and an information management module. The observation and reporting module allows system users to manually upload farmland and crop phenomenon information observed during patrols to the application server through the client, and then store it in the database server;

[0022] As shown in Figure 2, the real-time monitoring module displays real-time farmland information on the client based on real-time farmland environmental information read from the message server and observation information collected by the observation reporting module from the database server. The message server is mainly used to forward data. The data acquisition and communication component can concurrently receive farmland environmental data sent by multiple farmland monitoring devices. The data acquisition and communication component parses each received farmland environmental data to obtain the farmland environmental information collected by each farmland monitoring device. The data acquisition and communication component can use commonly used technical means in the art to implement the parsing of farmland environmental information. That is, the process of obtaining the farmland environmental information collected by each farmland device is well known to those skilled in the art. In addition, after the farmland is connected to the data acquisition and communication component through the farmland monitoring device, the data acquisition and communication component sets the connected farmland monitoring device to an online state and sets the disconnected farmland monitoring device terminal to an offline state. The data acquisition and communication component manages the online farmland monitoring device terminals, and only the online farmland monitoring device terminals can periodically send farmland environmental data information to the data acquisition and communication component. The database server is primarily used to categorize and store farmland environmental data, enabling subsequent query operations such as those performed by the application server. After reading farmland environmental information from the message server, the application server pushes this information to the client, displaying the environmental information for each farmland. The specific display process is well known to those skilled in the art and will not be detailed here.

[0023] As shown in Figure 3, the intelligent analysis module reads farmland environmental data information from the message server and the threshold range information of farmland indicators from the database server. After comprehensive analysis by the detection and analysis algorithm, it detects whether the current farmland environmental indicator data exceeds the threshold, what anomalies may exist, and what measures need to be taken next. The abnormal information and measures obtained from the analysis are then pushed to the client for display, and the alarm notification module is called.

[0024] Specifically, as shown in Figure 4, the detection and analysis algorithm first reads the threshold range list of farmland environmental indicator data from the database server, and then continuously pulls farmland environmental data from the message server. The application server calculates whether the various indicator data of the farmland environment are within the threshold range. If not, the indicator is abnormal. Based on the abnormal data of all indicators of the farmland, the database server is queried for suggestions on measures to be taken, and the alarm notification interface is called to notify the corresponding farmland person in charge of the abnormal information and operation suggestions.

[0025] The alarm notification module obtains farmland abnormality information and operation suggestion information from the intelligent analysis module, and notifies the farmland person in charge of the farmland abnormality information and operation suggestion information through system messages, emails, and text messages for further confirmation.

[0026] The database server includes a farmland information database, a farmland environment information database, a farmland observation information database, a personnel information database, an agricultural knowledge database, an abnormal information database, and an alarm notification database.

[0027] It also includes a client that can connect to and access the application server. The client includes a browser and a mobile application, and can present the farmland monitoring information read from the application server.

[0028] The data acquisition and communication component communicates with farmland monitoring equipment, storing the parsed farmland environmental information in a database server and pushing it to a message server. The application server automatically reads the farmland environmental data received from the message server through message subscriptions and displays it on the client, enabling real-time monitoring and management of farmland. The intelligent analysis module, based on the farmland environmental information read from the message server and the observation information collected by the observation reporting module from the database server, uses a detection and analysis algorithm to detect whether there are any anomalies in the current farmland, what possible anomalies exist, and what measures need to be taken next. This enables effective monitoring and management of the farmland crop growth environment, saving labor costs and improving crop growth efficiency, thereby increasing agricultural production.

Claims

1. A smart farmland monitoring system based on Internet of Things technology, characterized by: It includes an application server and a data acquisition and communication component, wherein the data acquisition and communication component is connected to the application server through a database server and a message server; The farmland monitoring equipment can transmit farmland environmental data to the data acquisition and communication component through the network, and the data acquisition and communication component can parse the received farmland environmental data to obtain farmland environmental information. The data acquisition and communication component stores the parsed farmland environmental information in the database server and writes the parsed farmland environmental information into the message server; The application server can read the farmland environment information received by the message server from the message server through message subscription, and display and output the read farmland environment information on the client, thereby realizing the monitoring and management of the farmland.

2. According to the smart agricultural monitoring and management system based on Internet of Things technology according to claim 1, it is characterized by: The farmland environmental data sent by the farmland monitoring equipment to the data acquisition and communication component include air temperature and humidity, carbon dioxide data, light intensity data, soil temperature and humidity, and soil conductivity parameter data; The application server includes an observation and reporting module, a real-time monitoring module, an intelligent analysis module and an alarm notification module. The observation and reporting module manually reports the farmland and crop phenomenon information observed by the observer during the inspection; The real-time monitoring module displays the real-time information of the farmland on the client according to the real-time farmland environment information read from the message server and the observation information collected by the observation reporting module read from the database server.

3. According to the smart agricultural monitoring and management system based on Internet of Things technology as claimed in claim 1, it is characterized by: The intelligent analysis module reads farmland environmental information from the message server and the threshold range information of farmland indicators from the database server, and after analysis by an abnormality analysis algorithm, detects whether the current farmland environmental indicator data exceeds the threshold, what abnormalities may exist, and what measures need to be taken next.

4. According to claim 1, the smart agricultural monitoring and management system based on the Internet of Things technology is characterized by: The alarm notification module obtains farmland abnormality information and operation suggestion information from the intelligent analysis module, and notifies the farmland person in charge of the farmland abnormality information and operation suggestion information through system messages, emails, and text messages for further confirmation.

5. According to claim 1, the smart agricultural monitoring and management system based on Internet of Things technology is characterized by: The database server includes a farmland information database, a farmland environment information database, a farmland observation information database, a personnel information database, an agricultural knowledge database, an abnormal information database, and an alarm notification database.

6. According to claim 1, the smart agricultural monitoring and management system based on the Internet of Things technology is characterized by: It also includes a client that can connect to and access the application server, and the client includes a browser and a mobile application, which can present the farmland monitoring information read from the application server.

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