Multi-target beef cattle respiration and heart rate monitoring device
By combining millimeter-wave sensing and image acquisition modules, and employing multi-target echo decoupling and data fusion technologies, the problems of equipment dependence and low efficiency in traditional beef cattle monitoring methods have been solved, enabling efficient and accurate monitoring and management support of multi-target beef cattle respiratory and heart rate.
Patent Information
- Application Number
- CN202422529378.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-19
- Publication Date
- 2025-10-21
- Estimated Expiration
- 2034-10-19
AI Technical Summary
Traditional methods for monitoring the vital signs of beef cattle suffer from problems such as strong equipment dependence, high cost, poor environmental adaptability, and low efficiency in multi-target monitoring. In particular, it is difficult to accurately monitor the respiration and heart rate of multiple beef cattle in dense or frequently active environments.
By combining a millimeter-wave sensing module and an image acquisition module with deep learning algorithms, the system transmits and receives millimeter-wave signals and captures video image data. It utilizes multi-target echo decoupling and data fusion technology to monitor the respiration and heart rate of multiple beef cattle and matches IDs using radar signal processing and visual information.
It enables non-contact, accurate, and efficient monitoring of the respiration and heart rate of multiple beef cattle, improving monitoring accuracy and efficiency, supporting refined breeding management, and providing real-time anomaly alarms and data storage functions.
Smart Images

Figure CN223453214U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model relates to the field of agricultural information technology, concretely relates to a multi -target beef cattle respiratory heart rate monitoring device. BACKGROUND
[0002] Agriculture is an important part of China's national economy, and has always occupied an absolutely stable foundation position. With the rapid development of modern animal husbandry, real-time monitoring of beef cattle health status becomes increasingly important. Timely and accurate monitoring of beef cattle vital signs, such as respiration and heart rate, is of great significance for early detection of diseases, assessment of beef cattle health status, and improvement of breeding efficiency. Traditional beef cattle vital sign monitoring methods mainly rely on contact sensors, such as electrocardiogram (ECG) devices or pulse oximeters. Although these methods can provide accurate data, they require beef cattle to wear or approach the device for a long time, limiting their freedom of movement, and are cumbersome and costly to implement in large-scale breeding environments.
[0003] In recent years, non-contact monitoring technology has attracted attention due to its ease of operation, minimal disturbance to beef cattle, and other advantages. Among them, monitoring devices based on machine vision estimate vital signs by analyzing video images of beef cattle, but this method is susceptible to changes in environmental lighting and visual obstructions, making it difficult to accurately monitor individuals in densely populated or frequently active environments, and the accuracy of monitoring the tiny heartbeat signal is low. On the other hand, radar-based monitoring devices use electromagnetic wave reflection principles to detect the tiny movements of beef cattle, thereby extracting respiration and heart rate information, and have good environmental adaptability and penetration ability. However, traditional radar devices have insufficient resolution and difficulty in signal separation when processing multi-target signals, especially when there are many beef cattle close to each other, it is difficult to accurately distinguish and monitor the vital signs of each individual, and the use of single-target measurement methods is inefficient, therefore we propose a multi-target beef cattle respiratory heart rate monitoring device. SUMMARY
[0004] The purpose of the utility model is to solve the problems mentioned in the background technology, and the utility model provides a multi-target beef cattle respiratory heart rate monitoring device.
[0005] The utility model adopts the following technical solutions to achieve the above purpose:
[0006] A multi-target beef cattle breathing heart rate monitoring device, comprising: a host computer, a millimeter wave sensing module, an image acquisition module, the millimeter wave sensing module is used for transmitting millimeter wave signals and receiving signals reflected from beef cattle, and the image acquisition module is used for capturing video image data of beef cattle;The host computer is electrically connected with a data transmission module, a storage module, a data processing module and a display module, wherein the data transmission module is used for transmitting data acquired by the millimeter wave sensing module and the image acquisition module to the host computer, the storage module is used for storing data collected by the image acquisition module and the millimeter wave sensing module and data processed by the data processing module, the data processing module is used for processing video images captured by the image acquisition module using a deep learning algorithm, and the display module is used for displaying real-time position and vital sign parameters of beef cattle.
[0007] Further, the millimeter wave sensing module adopts a 77GHz to 81GHz linear frequency continuous wave, and the millimeter wave sensing module comprises one transmitting antenna and four receiving antennas, the millimeter wave sensing module comprises a radar signal processing unit, a millimeter wave radar sensor and a millimeter wave radar, wherein the radar signal processing unit is used for preprocessing the transmitted and received signals, the millimeter wave radar sensor is installed downward at a specific angle, and the millimeter wave radar is used for obtaining echo data adopting a multi-target echo decoupling data processing module of joint visual information.
[0008] Further, the millimeter wave radar is fixed by a tripod and arranged at a position 1.8 to 2 meters away from the ground.
[0009] Further, the image acquisition module is designed to be vertically installed directly above the target beef cattle, so as to realize comprehensive image field of view capture.
[0010] Further, the data transmission module transmits data to the host computer in the form of data frames through a USB bus.
[0011] Further, the data processing module integrates deep learning and efficient signal processing technology.
[0012] Further, the data processing module processes data to fuse visual and millimeter wave echo data for the data transmission module.
[0013] Further, the display module displays multi-target beef cattle images, matching IDs, and breathing heart rate, breathing heartbeat signal waveforms.
[0014] The beneficial effects of the utility model are as follows:
[0015] The utility model discloses a multi-target beef cattle breath and heart rate monitoring device, which comprises a host computer, a millimeter wave sensing module and an image acquisition module. The millimeter wave sensing module is used for transmitting millimeter wave signals and receiving signals reflected from beef cattle. The image acquisition module is used for capturing video image data of beef cattle. The host computer is electrically connected with a data transmission module, a storage module, a data processing module and a display module. The data transmission module is used for transmitting data acquired by the millimeter wave sensing module and the image acquisition module to the host computer. The storage module is used for storing data acquired by the image acquisition module and the millimeter wave sensing module and data processed by the data processing module. The data processing module is used for processing video images captured by the image acquisition module by using a deep learning algorithm to identify the number and position of beef cattle, and separating and identifying signals received by the millimeter wave sensing module by using a signal processing algorithm to monitor the breath and heart rate of each beef cattle. BRIEF DESCRIPTION OF DRAWINGS
[0016] Figure 1 is the work flow chart of the utility model;
[0017] Figure 2 is the installation schematic view of the utility model. DETAILED DESCRIPTION
[0018] In order to make the purpose, technical scheme and advantages of the utility model embodiment clearer, the technical scheme in the utility model embodiment will be described clearly and completely in combination with the drawings in the utility model embodiment.
[0019] Please refer to Figure 1 - Figure 2 The utility model provides a kind of multi-target beef cattle breath and heart rate monitoring device, comprising: host computer, millimeter wave sensing module, image acquisition module, millimeter wave sensing module is used to emit millimeter wave signal and receive signal reflected from beef cattle back, image acquisition module is used to capture the video image data of beef cattle;Host computer is electrically connected with data transmission module, storage module, data processing module and display module, wherein, data transmission module is used to transmit the data obtained by millimeter wave sensing module and image acquisition module to host computer, storage module is used to store the data collected by image acquisition module and millimeter wave sensing module and the data after data processing module processing, data processing module is used to process video image captured by image acquisition module using deep learning algorithm, to identify the number and position of beef cattle, using signal processing algorithm separates and identifies the signal received by millimeter wave sensing module, to monitor the breath and heart rate of each beef cattle.
[0020] The host computer integrates a data processing module, performs target detection on image data to determine the number and position of beef cattle, and assigns a unique ID to each target, extracts breathing and heart rate information from radar echoes, and the process realizes the simultaneous monitoring of multiple beef cattle targets, improves the monitoring efficiency, and the target position recognized by the camera is automatically matched with the vital sign data monitored by the radar to realize ID matching of individual beef cattle and association of vital sign data. The display module will visually display the image, ID, real-time position, breathing rate and heart rate of each beef cattle, and the key parameters and breathing and heartbeat signal waveforms, the device can alarm in real time for abnormal vital signs, help the breeding management personnel to take timely measures, and the processed data is stored in the storage module for subsequent analysis and backtracking.
[0021] In this embodiment, preferably, the millimeter wave perception module adopts a linear frequency modulation continuous wave of 77GHz to 81GHz, emits a millimeter wave signal through a transmitting antenna, and captures the signal reflected back from the beef cattle by a receiving antenna. The millimeter wave perception module includes one transmitting antenna and four receiving antennas, which are arranged above the area where the beef cattle are located and look down at a certain angle to reduce the target shielding problem. The millimeter wave perception module includes a radar signal processing unit, a millimeter wave radar sensor and a millimeter wave radar. The radar signal processing unit is used to preprocess the transmitted and received signals. The millimeter wave radar sensor is installed downward at a certain angle. The millimeter wave radar is used to obtain echo data, and a multi-target echo decoupling data processing module with joint visual information is used. The millimeter wave radar includes an indicator light for displaying whether the radar is in normal working state.
[0022] In this embodiment, preferably, the millimeter wave radar is fixed by a tripod and arranged at a position 1.8 to 2 meters away from the ground. This ensures that the radar beam can effectively cover the beef cattle area while avoiding signal interference that may be caused by too low a position.
[0023] In this embodiment, preferably, the image acquisition module is designed to be vertically installed directly above the target beef cattle to achieve comprehensive image field of view capture and reduce the overlapping phenomenon of beef cattle in the image. The image acquisition module is equipped with a high-definition camera with 1080P resolution to ensure that the captured beef cattle video image is clear and detailed. The target position recognized by the camera is automatically matched with the vital sign data monitored by the radar to realize ID matching of individual beef cattle and association of vital sign data.
[0024] In the embodiment, preferably, the data transmission module transmits data in the form of data frames to the host computer through the USB bus; the USB interface is connected with the data transmission module, the USB interface has high-speed data transmission capability, can transmit data at a speed of 5Gbps at most, meets the demand of large amount of data transmission, and the signal collected by the millimeter wave sensing module and the image data collected by the image acquisition module are preprocessed, and then transmitted to the host computer in the form of data frames.
[0025] In the embodiment, preferably, the data processing module integrates deep learning and efficient signal processing technology.
[0026] In the embodiment, preferably, the data processing module processes data for the data transmission module to fuse the data of vision and millimeter wave echo; and the stability of data transmission can be ensured.
[0027] In the embodiment, preferably, the display module is used for displaying multi-target beef cattle images, matched IDs, and respiratory and heart rate signal waveforms; abnormal vital signs can be alarmed in real time, and measures can be taken in time by the breeding management personnel.
[0028] The working principle and use process of the utility model are as follows: when the device is used, the host computer integrates the data processing module, target detection is carried out on image data, the number and position of beef cattle are determined, and a unique ID is allocated to each target; the respiratory and heart rate information is extracted from the radar echo; the process realizes simultaneous monitoring of multiple beef cattle targets, improves the monitoring efficiency; the target position recognized by the camera is matched with the vital sign data monitored by the radar automatically, ID matching of individual beef cattle and correlation of vital sign data are realized; the display module can visually display the image, ID, real-time position, respiratory frequency and heart rate of each beef cattle, and key parameters and respiratory and heart rate signal waveforms; the device can alarm abnormal vital signs in real time, help the breeding management personnel to take measures in time, and the processed data is stored in the storage module for subsequent analysis and backtracking.
[0029] The millimeter wave sensing module adopts a 77GHz to 81GHz linear frequency continuous wave, emits a millimeter wave signal through a transmitting antenna, and captures the signal reflected back from the beef cattle by a receiving antenna, and the millimeter wave sensing module comprises one transmitting antenna and four receiving antennas, the antennas are arranged above the area where the beef cattle are located, and are downwardly viewed at a certain angle to reduce the target shielding problem, the millimeter wave sensing module comprises a radar signal processing unit, a millimeter wave radar sensor and a millimeter wave radar, wherein the radar signal processing unit is used for preprocessing the transmitted and received signals, the millimeter wave radar sensor is installed downwardly at a certain angle, the millimeter wave radar is used for obtaining echo data, and a multi-target echo decoupling data processing module of joint visual information is adopted, and the millimeter wave radar comprises an indicator light for displaying whether the radar is in a normal working state.
[0030] The image acquisition module is designed to be vertically installed directly above the target beef cattle to achieve comprehensive image field of view capture, and reduce the overlapping phenomenon of the beef cattle in the image, and the image acquisition module is equipped with a high-definition camera with 1080P resolution to ensure that the captured beef cattle video image is clear and rich in details, and the target position recognized by the camera and the vital sign data monitored by the radar are automatically matched to realize ID matching of individual beef cattle and association of vital sign data.
[0031] The USB interface is connected with the data transmission module, the USB interface has high-speed data transmission capability, can perform data transmission at a highest speed of 5Gbps, meets the demand of large amount of data transmission, and the signal collected by the millimeter wave sensing module and the image data collected by the image acquisition module are preprocessed, and the data is transmitted to the upper computer in the form of data frames.
[0032] The display module is used for displaying multi-target beef cattle images, matched IDs, and respiratory and heart rate signal waveforms, can perform real-time alarm on abnormal vital signs, and helps the breeding management personnel to take measures in time.
[0033] The above description of the disclosed embodiments enables a person skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A multi-target beef cattle respiration heart rate monitoring device, characterized in that, The application relates to a beef cattle real-time positioning and vital sign parameter monitoring system, which comprises the following parts: a host computer, a millimeter wave sensing module and an image acquisition module, the millimeter wave sensing module is used for emitting millimeter wave signals and receiving signals reflected from beef cattle, and the image acquisition module is used for capturing video image data of the beef cattle; the host computer is electrically connected with a data transmission module, a storage module, a data processing module and a display module, wherein the data transmission module is used for transmitting data acquired by the millimeter wave sensing module and the image acquisition module to the host computer, the storage module is used for storing data collected by the image acquisition module and the millimeter wave sensing module and data processed by the data processing module, the data processing module is used for processing video images captured by the image acquisition module by using a deep learning algorithm, and the display module is used for displaying real-time positions and vital sign parameters of the beef cattle. The millimeter wave sensing module adopts a 77GHz-81GHz linear frequency continuous wave, and comprises one transmitting antenna and four receiving antennas; the millimeter wave sensing module comprises a radar signal processing unit, a millimeter wave radar sensor and a millimeter wave radar, the radar signal processing unit is used for preprocessing transmitted and received signals, the millimeter wave radar sensor is installed downward at a specific angle, and the millimeter wave radar is used for obtaining echo data by using a joint visual information multi-target echo decoupling data processing module.
2. A multi-target beef cattle respiration and heart rate monitoring device according to claim 1, characterized in that: The millimeter wave radar is fixed by a tripod and arranged at a position 1.8-2 meters away from the ground.
3. A multi-target beef cattle respiration and heart rate monitoring device according to claim 2, characterized in that: The image acquisition module is designed to be vertically installed above the target beef cattle, so that comprehensive image field of view capturing is realized.
4. A multi-target beef cattle respiration and heart rate monitoring device according to claim 1, characterized in that: The data transmission module transmits data to the host computer in the form of data frames through a USB bus.
5. A multi-target beef cattle respiration and heart rate monitoring device according to claim 1, characterized in that: The data processing module integrates deep learning and efficient signal processing technology.
6. A multi-target beef cattle respiration and heart rate monitoring device according to claim 1, characterized in that: The data processing module processes data to fuse visual and millimeter wave echo data for the data transmission module.
7. A multi-target beef cattle respiration and heart rate monitoring device according to claim 1, characterized in that: The display module displays multi-target beef cattle images, matched IDs and respiratory heart rate and respiratory heartbeat signal waveforms.
8. A multi-target beef cattle respiration and heart rate monitoring device according to claim 1, characterized in that: