LoRaWAN-based intelligent Internet of Things cattle raising monitoring system
Through the intelligent Internet of Things cattle herd monitoring system based on LoRaWAN, various data of cattle herds are collected and transmitted in real time, solving the problem of untimely and inaccurate data collection in traditional cattle management methods, and achieving more efficient and accurate cattle herd management.
Patent Information
- Application Number
- CN202421535276.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-01
- Publication Date
- 2025-05-02
- Estimated Expiration
- 2034-07-01
AI Technical Summary
The traditional cattle herding management method relies on manual inspections and empirical judgments, and there are problems such as untimely, inaccurate data collection and inefficient management.
The intelligent Internet of Things cattle monitoring system based on LoRaWAN is adopted, including sensor node modules, gateway modules, cloud data servers and display modules, and long-distance data transmission is realized through LoRa technology, integrating temperature and humidity sensors, body temperature sensors, accelerometers, satellite positioning modules, pulse heart rate sensors, etc. to collect and transmit various data from the cattle herd in real time.
Achieving a wider monitoring range and higher real-time and accuracy, reducing energy consumption and costs, improving user-friendliness and environmental adaptability, and enhancing the efficiency and reliability of cattle management.
Smart Images

Figure CN222815073U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to the field of monitoring, and specifically to an intelligent Internet of Things cattle monitoring system based on LoRaWAN. Background Art
[0002] With the development of modern animal husbandry, efficient and accurate management of cattle has become the key to improving production efficiency and ensuring animal welfare. Traditional cattle management methods rely on manual inspections and empirical judgments, and there are problems such as untimely and inaccurate data collection and low management efficiency. With the rapid development of technologies such as the Internet of Things, big data, and cloud computing, the application of intelligent Internet of Things technology in animal husbandry is becoming more and more extensive, bringing new solutions to cattle management.
[0003] In the Internet of Things technology, LoRaWAN (Long Range Wide Area Network) is a low-power wide area network communication technology. Due to its long-distance transmission, low power consumption and low cost, it has broad application prospects in the field of agricultural Internet of Things. LoRaWAN technology achieves long-distance communication through spread spectrum modulation technology, can work stably in a vast pasture environment, does not require frequent battery replacement or equipment maintenance, and reduces the cost of use and the difficulty of maintenance.
[0004] The utility model is a LoRaWAN-based intelligent IoT cattle monitoring system that integrates advanced IoT technology and sensor technology to achieve efficient and accurate management and health monitoring of cattle. Utility Model Content
[0005] The purpose of the utility model is to overcome the shortcomings of the prior art and provide a LoRaWAN-based intelligent Internet of Things cattle monitoring system, including a sensor node module, a gateway module, a cloud data server and a display module; the sensor node module is connected to the gateway module; the cloud data server is communicatively connected to the gateway module; the display module is connected to the cloud data server;
[0006] The sensor node module includes a plurality of sensor nodes; the plurality of sensor nodes are respectively connected to the gateway module for communication.
[0007] Preferably, the sensor node includes a temperature and humidity sensor, a body temperature sensor, an accelerometer, a satellite positioning module, a pulse heart rate sensor, a power module, a data processing module and a communication module;
[0008] The temperature and humidity sensor, body temperature sensor, accelerometer, satellite positioning module, pulse heart rate sensor, power module, and communication module are respectively connected to the data processing module; the communication module is communicatively connected to the gateway module.
[0009] Preferably, the power module includes a battery, a solar module and a power management module;
[0010] The storage battery and solar module are respectively connected to the power management module; the power management module is connected to the data processing module.
[0011] Preferably, the cloud data server includes a communication device, a data storage module, and a data processor; the communication device and the data storage module are respectively connected to the data processor; the communication device is connected to the gateway module; and the data processor is connected to the display module.
[0012] Preferably, the gateway module adopts a LoRa gateway.
[0013] Preferably, the temperature and humidity sensor is of model SHT20, which is used to collect temperature and humidity data of the environment where the cattle are located.
[0014] Preferably, the body temperature sensor is of model GY-906, which is used to collect the body temperature of cattle.
[0015] Preferably, the accelerometer is of model ADXL335, which is used to collect the movement status of the cattle.
[0016] Preferably, the satellite positioning module is of model NEO-7N, which is used to collect the positioning information and movement trajectory of the cattle.
[0017] Preferably, the pulse heart rate sensor is of model BH1792GLC-E2, which is used to collect the heart rate data of cattle.
[0018] The beneficial effects of the utility model are:
[0019] 1. Wider monitoring range and comprehensiveness: The present invention adopts LoRa technology to achieve long-distance data transmission, which can cover a wider pasture area. Compared with traditional wireless transmission technology, it has a wider monitoring range and more comprehensive monitoring data.
[0020] 2. Higher real-time and accuracy: LoRa technology has high real-time performance and can achieve fast and timely data transmission, ensuring that users can obtain cattle status information in a timely manner. Compared with traditional systems, the monitoring data is more accurate and real-time.
[0021] 3. Lower energy consumption and cost: The present invention adopts sleep technology and solar charging to extend the battery life of sensor nodes, reduce energy consumption and frequent battery replacement, thereby reducing system maintenance and operating costs.
[0022] 4. Higher user-friendliness: This system provides an intuitive and friendly user interface, allowing users to easily view monitoring results and perform related operations, such as setting up electronic fences, viewing historical data, etc. Compared with existing technologies, user operations are simpler and more convenient.
[0023] 5. Better environmental adaptability: Using LoRa technology, this system has good environmental adaptability and can adapt to the monitoring needs in different geographical environments and weather conditions. Compared with traditional systems, it has higher stability and reliability. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 This is a schematic diagram of the principle of a LoRaWAN-based smart IoT cattle monitoring system;
[0025] Figure 2 Schematic diagram of the sensor node. DETAILED DESCRIPTION
[0026] The technical solution of the present utility model is further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present utility model is not limited to the following.
[0027] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.
[0028] like Figure 1 As shown, a LoRaWAN-based intelligent IoT cattle monitoring system includes a sensor node module, a gateway module, a cloud data server and a display module; the sensor node module is connected to the gateway module; the cloud data server is communicatively connected to the gateway module; the display module is connected to the cloud data server;
[0029] The sensor node module includes a plurality of sensor nodes; the plurality of sensor nodes are respectively connected to the gateway module for communication.
[0030] The sensor node includes a temperature and humidity sensor, a body temperature sensor, an accelerometer, a satellite positioning module, a pulse heart rate sensor, a power module, a data processing module and a communication module;
[0031] The temperature and humidity sensor, body temperature sensor, accelerometer, satellite positioning module, pulse heart rate sensor, power module, and communication module are respectively connected to the data processing module; the communication module is communicatively connected to the gateway module.
[0032] The power module includes a storage battery, a solar module and a power management module;
[0033] The storage battery and solar module are respectively connected to the power management module; the power management module is connected to the data processing module.
[0034] The cloud data server includes a communication device, a data storage module, and a data processor; the communication device and the data storage module are respectively connected to the data processor; the communication device is connected to the gateway module; and the data processor is connected to the display module.
[0035] The gateway module adopts LoRa gateway.
[0036] The temperature and humidity sensor is of model SHT20, which is used to collect temperature and humidity data of the environment where the cattle are located.
[0037] The body temperature sensor is of model GY-906, which is used to collect the body temperature of cattle.
[0038] The accelerometer is of model ADXL335, which is used to collect the movement status of the cattle.
[0039] The satellite positioning module is of model NEO-7N, which is used to collect the positioning information and movement trajectory of cattle.
[0040] The pulse heart rate sensor is of model BH1792GLC-E2, which is used to collect the heart rate data of cattle.
[0041] Specifically, this system is mainly composed of four core parts: sensor node module, gateway module, cloud data server and display module. The sensor node module is responsible for collecting various data of the cattle herd, the gateway module is a transit station for data transmission, the cloud data server is responsible for data storage, processing and analysis, and the display module provides users with an intuitive data display interface.
[0042] Sensor node module: This module contains multiple sensor nodes, each of which has the function of data collection and transmission. These nodes communicate with the gateway module wirelessly and transmit the collected data to the cloud data server.
[0043] Gateway module: As the hub of data transmission, the gateway module is responsible for receiving data from sensor nodes and forwarding it to the cloud data server. At the same time, it also receives instructions from the cloud data server and conveys them to the sensor nodes.
[0044] Cloud data server: This part is the core of the system and is responsible for data storage, processing and analysis. It receives data from the gateway module, performs necessary processing and analysis, and then stores the results in the database. At the same time, it is also responsible for responding to requests from the display module and providing necessary data support.
[0045] Display module: This module provides users with an intuitive data display interface, allowing users to understand the status of the herd and various data in real time. It obtains the latest data and displays it through communication with the cloud data server.
[0046] Sensor Node Module
[0047] The sensor node module is the front-end acquisition part of the system, which is responsible for collecting various data of the cattle in real time. This module contains multiple sensor nodes, each of which has independent data acquisition and transmission functions.
[0048] Composition of sensor nodes: Each sensor node contains temperature and humidity sensors, body temperature sensors, accelerometers, satellite positioning modules, pulse heart rate sensors, power modules, data processing modules and communication modules. These sensors are responsible for collecting different data, such as ambient temperature and humidity, cattle's body temperature, movement status, positioning information and heart rate data.
[0049] Temperature and humidity sensor: The SHT20 temperature and humidity sensor is used, which has high precision and stability and can collect temperature and humidity data of the cattle's environment in real time.
[0050] Body temperature sensor: GY-906 body temperature sensor is used, which can measure the body temperature of cattle in a non-contact manner. This feature makes the collection of body temperature more convenient and faster, and also reduces the interference to the cattle.
[0051] Accelerometer: The ADXL335 accelerometer is used to collect the movement status data of the cattle in real time. Through this data, we can understand the activities of the cattle, such as walking, running or standing still.
[0052] Satellite positioning module: The NEO-7N satellite positioning module is selected, which has high accuracy and stability and can collect cattle positioning information and movement trajectory in real time. These data are crucial for understanding the range of cattle activities and behavior patterns.
[0053] Pulse heart rate sensor: The pulse heart rate sensor model BH1792GLC-E2 is used, which can collect the heart rate data of cattle in real time.
[0054] Power module: Each sensor node is equipped with an independent power module, including batteries, solar modules and power management modules. The battery provides the main power support, while the solar module serves as an auxiliary power source and can charge the battery when there is sufficient sunshine. The power management module is responsible for monitoring and managing the use of power to ensure the long-term stable operation of the node.
[0055] Data processing module and communication module: The data processing module is responsible for the preliminary processing and organization of the collected data, and then transmits the data to the gateway module through the communication module. The communication module adopts wireless transmission, which has the characteristics of low power consumption and long-distance transmission, ensuring stable data transmission.
[0056] Gateway Module
[0057] The gateway module is the data transmission center of the system, which is responsible for receiving data from sensor nodes and forwarding it to the cloud data server. At the same time, it also receives instructions from the cloud data server and conveys them to the sensor nodes.
[0058] Selection of LoRa gateway: We use LoRa gateway as the data transmission hub of the system. LoRa is a low-power wide area network communication technology with the characteristics of long-distance transmission and low power consumption. This makes the LoRa gateway very suitable for use in cattle monitoring systems, which can achieve long-distance data transmission and long-term stable operation.
[0059] Data transmission protocol: The LoRaWAN protocol is used for data transmission between the gateway module and the sensor node. LoRaWAN is a LoRa-based communication protocol that is efficient, reliable and scalable. By adopting the LoRaWAN protocol, we can achieve long-distance, stable and reliable data transmission between the sensor node and the gateway module.
[0060] Data processing and forwarding: After receiving data from the sensor nodes, the gateway module will perform preliminary data processing, such as data parsing, format conversion, etc. Then, it will forward the processed data to the cloud data server for further analysis and processing.
[0061] Cloud Data Server
[0062] The cloud data server is the core part of the system, which is responsible for data storage, processing and analysis. This part uses high-performance server hardware and software platforms to ensure stable storage and efficient processing of data.
[0063] Communication device: The cloud data server is equipped with a high-performance communication device, which is responsible for communicating with the gateway module, receiving data from the gateway module, and storing it in the database. At the same time, it is also responsible for responding to requests from the display module and providing necessary data support.
[0064] Data storage module: The data storage module uses a high-performance database system and is responsible for storing and managing the received data.
[0065] Data processor: The data processor is the core part of the cloud data server, which is responsible for processing and analyzing the received data.
[0066] Display Module
[0067] The display module is the user interface of the system, which provides users with an intuitive data display interface. Through this module, users can understand the status and various data of the cattle herd in real time and achieve efficient cattle management.
[0068] User interface design: The user interface design of the display module is simple and intuitive, which is convenient for users to operate and view. The data displayed on the interface includes ambient temperature and humidity, cattle's body temperature, exercise status, positioning information and heart rate data, etc. Users can view different data by simply clicking and sliding.
[0069] Real-time data display: The display module can display data from the cloud data server in real time, allowing users to understand the status and various data of the herd in a timely manner. Through the display of real-time data, users can more accurately understand the living environment and health status of the herd, providing strong support for cattle management.
[0070] Historical data query: In addition to the display of real-time data, the display module also provides historical data query function. Users can view historical data by selecting different time periods and query conditions to understand the status changes and data trends of the herd over the past period of time.
[0071] Alarm and notification function: The display module also has alarm and notification functions. When the system detects abnormal data or abnormal conditions, such as high body temperature or abnormal heart rate of cattle, it will immediately send an alarm notification to the user to remind the user to take timely measures to deal with it.
[0072] The above is only a preferred embodiment of the utility model. It should be understood that the utility model is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the concept described herein through the above teachings or the technology or knowledge of the relevant field. The changes and modifications made by those skilled in the art do not deviate from the spirit and scope of the utility model, and should be within the scope of protection of the claims attached to the utility model.
Claims
1. A LoRaWAN-based intelligent IoT cattle monitoring system, characterized in that: It includes a sensor node module, a gateway module, a cloud data server and a display module; the sensor node module is connected to the gateway module; the cloud data server is communicatively connected to the gateway module; the display module is connected to the cloud data server; The sensor node module includes a plurality of sensor nodes; the plurality of sensor nodes are respectively connected to the gateway module for communication.
2. According to claim 1, a LoRaWAN-based intelligent Internet of Things cattle monitoring system is characterized in that: The sensor node module includes a temperature and humidity sensor, a body temperature sensor, an accelerometer, a satellite positioning module, a pulse heart rate sensor, a power module, a data processing module and a communication module; The temperature and humidity sensor, body temperature sensor, accelerometer, satellite positioning module, pulse heart rate sensor, power module, and communication module are respectively connected to the data processing module; the communication module is communicatively connected to the gateway module.
3. According to claim 2, a LoRaWAN-based intelligent Internet of Things cattle monitoring system is characterized in that: The power module includes a storage battery, a solar module and a power management module; The storage battery and solar module are respectively connected to the power management module; the power management module is connected to the data processing module.
4. According to the LoRaWAN-based intelligent Internet of Things cattle monitoring system according to claim 1, it is characterized in that: The cloud data server includes a communication device, a data storage module, and a data processor; the communication device and the data storage module are respectively connected to the data processor; the communication device is connected to the gateway module; and the data processor is connected to the display module.
5. The LoRaWAN-based intelligent IoT cattle monitoring system according to claim 1, characterized in that: The gateway module adopts LoRa gateway.
6. The LoRaWAN-based intelligent IoT cattle monitoring system according to claim 2, characterized in that: The temperature and humidity sensor is of model SHT20, which is used to collect temperature and humidity data of the environment where the cattle are located.
7. The LoRaWAN-based intelligent IoT cattle monitoring system according to claim 2 is characterized in that: The body temperature sensor is of model GY-906, which is used to collect the body temperature of cattle.
8. The LoRaWAN-based intelligent IoT cattle monitoring system according to claim 2, characterized in that: The accelerometer is of model ADXL335, which is used to collect the movement status of the cattle.
9. The LoRaWAN-based intelligent IoT cattle monitoring system according to claim 2, characterized in that: The satellite positioning module is of model NEO-7N, which is used to collect the positioning information and movement trajectory of cattle.
10. The LoRaWAN-based intelligent IoT cattle monitoring system according to claim 2, characterized in that: The pulse heart rate sensor is of model BH1792GLC-E2, which is used to collect the heart rate data of cattle.