Wild animal multi-parameter monitoring intelligent necklace based on wireless transmission

Abstract

The invention discloses a wild animal multi-parameter monitoring intelligent necklace based on wireless transmission, and relates to the field of wild animal ecological monitoring, and the necklace comprises a necklace main body and a shell arranged on the necklace main body; a multi-parameter monitoring module, a positioning module, a wireless transmission module, a control module and a power supply module are integrated in the shell; the multi-parameter monitoring module is used for collecting physiological parameters of wild animals; the positioning module is used for acquiring real-time position information of wild animals by adopting a GPS and Beidou dual-mode positioning mode; the wireless transmission module comprises a 4G communication unit and a LoRa communication unit and is used for transmitting the physiological parameters and the real-time position information back to the remote monitoring platform; the power supply module is used for providing power support for the wild animal multi-parameter monitoring intelligent necklace; the control module is used for scheduling the modules of the wild animal multi-parameter monitoring intelligent necklace and processing the physiological parameters. According to the invention, accurate acquisition and stable transmission of multi-dimensional data of wild animals can be realized in a complex field environment.

Description

Technical Field

[0001] This application relates to the field of wildlife ecological monitoring, and in particular to a smart collar for multi-parameter monitoring of wildlife based on wireless transmission. Background Technology

[0002] Wild animals are an important part of the ecosystem, and their survival status, behavior patterns and health status directly reflect the quality of the ecological environment. Accurate monitoring of wild animals is the core foundation for carrying out species protection, ecological research and biodiversity maintenance.

[0003] Current wildlife monitoring equipment on the market suffers from numerous technical bottlenecks: First, it focuses on single physiological parameters; most devices only provide location tracking, and even those that can monitor body temperature lack sufficient accuracy to comprehensively reflect animal health. Second, data transmission is severely limited by the environment; traditional GPRS or Bluetooth transmission methods suffer from poor signal coverage, short transmission distances, and low stability in complex outdoor environments such as mountains and deserts. Third, it lacks sufficient battery life and durability; wildlife roams widely and in harsh environments, making existing equipment prone to monitoring interruptions due to wear, corrosion, or battery depletion. Fourth, its positioning accuracy is limited; single satellite positioning modes are prone to drift in heavily obstructed mountainous areas, making it impossible to accurately track animal movements. These problems result in insufficient completeness and reliability of monitoring data, failing to meet the needs of refined ecological research and conservation. Summary of the Invention

[0004] The purpose of this application is to provide a smart collar for multi-parameter monitoring of wild animals based on wireless transmission, which can realize the accurate collection and stable transmission of multi-dimensional data of wild animals in complex field environments, and provide reliable technical support for wildlife conservation, behavioral research and ecological monitoring.

[0005] To achieve the above objectives, this application provides a smart collar for multi-parameter monitoring of wild animals based on wireless transmission, comprising: a collar body and a shell disposed on the collar body; the shell integrates a multi-parameter monitoring module, a positioning module, a wireless transmission module, a control module, and a power supply module; The collar is worn around the neck of the wild animal; The multi-parameter monitoring module is used to collect physiological parameters of wild animals, including body temperature, heart rate, and respiration. The positioning module is used to obtain real-time location information of wild animals using GPS and Beidou dual-mode positioning. The wireless transmission module includes a 4G communication unit and a LoRa communication unit, used to transmit the physiological parameters and real-time location information back to the remote monitoring platform; The power supply module is used to provide power support for the smart collar for multi-parameter monitoring of wild animals; The control module is connected to the multi-parameter monitoring module, the positioning module, and the power supply module, respectively, and is used to schedule each module of the smart collar for multi-parameter monitoring of wild animals and to process the physiological parameters.

[0006] According to the specific embodiments provided in this application, this application has the following technical effects: (1) Multi-parameter accurate monitoring to fully reflect health status: The multi-parameter monitoring module integrates the monitoring functions of three core physiological parameters: body temperature, heart rate and respiration. Compared with single-parameter monitoring equipment, it can more comprehensively and accurately reflect the health status of wild animals. (2) High-precision real-time positioning: The positioning module adopts GPS + Beidou dual-mode positioning with a positioning error of ≤3 meters. Combined with the automatic switching communication mode, it can achieve high-precision and wide-range real-time positioning. (3) Stable and reliable data transmission: The wireless transmission module supports dual-mode communication and multiple data upload methods to ensure that physiological parameters and real-time location information can be stably and completely transmitted back to the platform; (4) Dual-module communication transmission is adapted to the field and the stability is greatly improved: 4G communication is suitable for areas with good signal coverage and has the characteristics of wide coverage and fast data transmission rate; compared with GPRS, Bluetooth and other transmission methods, LoRa wireless transmission technology has stronger anti-interference ability and longer transmission distance, which solves the problem of data transmission interruption caused by signal blockage in the field. (5) High strength and durable design, suitable for harsh outdoor environments: The collar body is made of composite material and anti-corrosion coating, which has the characteristics of being tear-resistant, corrosion-resistant and resistant to extreme environments. Combined with antibacterial and breathable padding and connection structure, it is comfortable to wear and highly durable, and can adapt to the complex living environment of wild animals. (6) Long battery life: The power supply module achieves long battery life by using high-capacity lithium batteries and a power management unit with low-power chips, eliminating the need for frequent charging or battery replacement and reducing usage costs. Attached Figure Description

[0007] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0008] Figure 1 A schematic diagram of the overall structure of a smart collar for multi-parameter monitoring of wild animals based on wireless transmission is provided for one embodiment of this application; Figure 2 This is a schematic diagram of the internal structure of the shell; Figure 3 System block diagram for each module; Figure 4 This is a workflow sequence diagram for a smart collar for multi-parameter monitoring of wildlife based on wireless transmission. Detailed Implementation

[0009] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0010] To address the problems of incomplete physiological parameter collection, poor data transmission stability, insufficient positioning accuracy, and poor durability in existing wildlife monitoring equipment, this application provides a smart collar for multi-parameter monitoring of wildlife based on wireless transmission. This collar enables accurate collection of physiological parameters such as body temperature, heart rate, and respiration, as well as location information of wild animals. It relies on 4G and LoRa networks to achieve stable data transmission in complex field environments, while improving the durability and battery life of the equipment, thus providing high-quality monitoring data for wildlife conservation and research.

[0011] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, this application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0012] In one exemplary embodiment, a smart collar for multi-parameter monitoring of wildlife based on wireless transmission is provided, such as... Figures 1-2 As shown, it includes: a collar body 1 and a housing 4 disposed on the collar body 1; the housing 4 integrates a multi-parameter monitoring module, a positioning module, a wireless transmission module 11, a control module, and a power supply module 10. The housing 4 is designed to be waterproof and dustproof (IP67 rating).

[0013] Furthermore, the collar body 1 is worn around the neck of the wild animal. For example... Figure 1As shown, the collar body is composed of an outer layer 16, a middle layer 15, and an inner layer. The surface of the outer layer 16 is coated with a polytetrafluoroethylene anti-corrosion coating, which can withstand the erosion of rainwater, mud, and chemicals in the wild, and adapt to various extreme environments such as high temperature, low temperature, and high humidity. The middle layer 15 is made of a composite material of food-grade silicone and Kevlar fiber. This material has both flexibility and high strength, with a tensile strength of over 15 MPa and an elongation at break of over 300%. It can accommodate the neck movements of wild animals and resist external damage such as biting and scratching. The inner layer has a honeycomb-shaped breathable pad layer 14, the surface of which is coated with a medical-grade silver ion antibacterial coating 13, which ensures wearing comfort while preventing skin infections on the animal's neck due to prolonged wear.

[0014] Furthermore, the collar body 1 is equipped with a length adjustment mechanism 3, which is a clasp structure. The circumference of the collar body 1 can be flexibly adjusted from 30cm to 80cm through the length adjustment mechanism 3, making it suitable for wild animals of different sizes, from small and medium-sized deer to large bears.

[0015] Furthermore, the collar body 1 is connected and fixed at both ends using stainless steel buckle connection structure 2. The connection structure 2 has a built-in spring locking mechanism, which can automatically lock after being worn, effectively preventing the animal from escaping. The buckle design also makes it easy to disassemble and install manually.

[0016] Furthermore, the multi-parameter monitoring module is the core component for achieving accurate perception of the physiological state of wild animals. For example... Figures 1-3 As shown, the multi-parameter monitoring module includes a body temperature sensor 9, a heart rate sensor 6, and a respiration sensor 7. The body temperature sensor 9 is used to collect the body temperature of wild animals; the heart rate sensor 6 is used to collect the heart rate of wild animals; and the respiration sensor 7 is used to collect the respiration of wild animals.

[0017] The body temperature sensor 9 is an NTC thermistor sensor, characterized by its fast response and high stability. The sensing end of the body temperature sensor 9 contacts the skin of the wild animal via a flexible heat-conducting sheet 5. The flexible heat-conducting sheet 5 is installed in a raised circular hole inside the housing 4, allowing it to fit tightly against the skin of the wild animal's neck, ensuring accurate body temperature monitoring. The flexible heat-conducting sheet 5 can deform according to the contour of the neck, ensuring continuous contact between the sensing end and the skin, avoiding measurement errors caused by animal movement.

[0018] Both the heart rate sensor 6 and the respiration sensor 7 are flexible thin-film pressure sensors with a thickness of only 0.5 mm, which can deform synchronously with the fit of the collar and the neck.

[0019] Both the heart rate sensor 6 and the respiration sensor 7 are embedded in the silicone material on both sides of the housing 4, and come into contact with the skin of wild animals through anti-slip silicone protrusions 8. The anti-slip silicone protrusions are located on the inner side of the silicone material on both sides.

[0020] Furthermore, such as Figure 3 As shown, the multi-parameter monitoring module also includes a signal processing unit, which is connected to the body temperature sensor 9, the heart rate sensor 6 and the respiration sensor 7 respectively.

[0021] The signal processing unit converts the resistance change of the body temperature sensor 9 into an electrical signal to achieve body temperature monitoring. The measurement range is 32℃-42℃, which is fully adapted to the body temperature variation range of wild animals, and the measurement accuracy can reach ±0.1℃. The signal processing unit also converts the pressure changes of the heart rate sensor 6 and the respiration sensor 7 into electrical signals to achieve heart rate and respiration monitoring.

[0022] Furthermore, this smart collar for multi-parameter monitoring of wild animals also includes a three-axis accelerometer. The control module connects to the three-axis accelerometer, which is used to detect the state of the wild animal. Once abnormal animal activity is detected, data can be collected and reported immediately, triggering intelligent events.

[0023] Furthermore, the high-precision positioning module adopts a GPS+BeiDou dual-mode positioning method, integrating domestically produced BeiDou-3 and GPS L1 band dual-system receiver chips, and with the anti-obstruction signal enhancement chip, it can simultaneously receive signals from multiple satellites. In environments with severe obstruction, such as mountains and valleys, the positioning success rate is improved by more than 40% compared to a single positioning mode, and the positioning error is controlled within 3 meters. The positioning module has a built-in dynamic wake-up mechanism. The control module judges the status of wild animals by collecting data from a three-axis accelerometer. When the wild animal is detected to be stationary (such as resting or sleeping), the positioning module switches to a low-frequency wake-up mode, and the positioning interval is adjusted to 30 minutes / time. When the wild animal is detected to be moving, the positioning module automatically switches to a high-frequency wake-up mode, and the positioning interval is shortened to 5 minutes / time. This ensures the validity of the location data and reduces unnecessary power consumption.

[0024] Furthermore, the wireless transmission module 11 transmits data via the communication antenna 12. The wireless transmission module 11 includes a 4G communication unit and a LoRa communication unit. The 4G communication unit is suitable for areas with good signal coverage, offering wide coverage and a data transmission rate of up to 86Mbps. The LoRa communication unit is suitable for remote areas or environments with weak signals, operating in the 433MHz unlicensed frequency band. This band exhibits low transmission attenuation and strong diffraction capability in outdoor environments, achieving a maximum transmission distance of up to 5 kilometers in open fields and maintaining a distance of over 2 kilometers in complex mountainous forest environments, fully covering the typical activity range of wild animals. Data can be periodically retrieved using a drone equipped with a LoRa gateway. The wireless transmission module 11 can automatically switch communication modes based on surrounding signal strength to ensure data transmission stability. Data upload methods include timed upload and triggered upload. The interval for scheduled uploads can be set via the remote monitoring platform, ranging from 1 minute to 24 hours. When the physiological parameters collected by the multi-parameter monitoring module exceed the preset threshold (such as body temperature above 40℃ or below 34℃, heart rate exceeding the species' normal range by ±30%), the wireless transmission module 11 switches to triggered upload, quickly transmitting abnormal data and current location information back to the remote monitoring platform (i.e., the cloud platform). If there is no network communication signal, the data is temporarily stored in the control module, and the stored data is transmitted back to the remote monitoring platform all at once when a signal is available.

[0025] Furthermore, the power supply module 10 is the core component for achieving ultra-long battery life, such as... Figure 3 As shown, the power supply module 10 includes a high-energy lithium battery and a power management unit. The lithium battery features high energy density and low self-discharge rate; a 3.6V / 5000mAh battery is selected to provide stable power output. The power management unit uses a dedicated low-power chip, enabling independent voltage regulation and power supply control for each module. Specifically, the power management unit can stably boost the battery's 3.6V voltage to the required operating voltage (e.g., 3.3V, 5V) for each module, achieving a boost efficiency of over 90% and reducing energy loss during voltage conversion. When a module is in sleep mode, the power management unit cuts off the power supply to that module, further reducing power consumption.

[0026] Furthermore, the low-power control module, as the core control unit of the collar, is responsible for scheduling all sensors, processing data, and managing power and communication modules. For example... Figure 3 As shown, the signal processing unit in the multi-parameter monitoring module converts the analog signals collected by the sensor into voltage signals and inputs them into the control module, where the control module performs signal processing and algorithm calibration. The positioning module and the wireless transmission module are both connected to the control module via UART interfaces. The triaxial accelerometer is connected to the control module via an I2C interface.

[0027] The control module employs an ultra-low-power microcontroller (MCU). In active mode, the microcontroller draws only 160μA, and in sleep mode, the current is less than 0.1μA, effectively reducing system power consumption. The microcontroller has a built-in 16KB data buffer unit to temporarily store monitoring data and location information. When the wireless transmission module cannot upload data in time due to signal interruption, the data is temporarily stored in the buffer unit and automatically retransmitted after the signal is restored, preventing data loss. The control module is responsible for preprocessing physiological parameters, such as signal conversion, filtering, amplification, AD conversion, and algorithm calibration, to improve data accuracy. It also receives instructions from the remote monitoring platform, such as modifying the upload interval and setting parameter thresholds.

[0028] Specifically, different filtering circuits are used to process the heart rate and respiratory frequency, respectively, to retain the required frequencies. The heart rate signal frequency range is 0.5~3Hz, corresponding to a heart rate of 30~180 beats / min, which can adapt to the heart rate monitoring needs of wild animals under different activity intensities, with a measurement accuracy of ±2 times / min. The respiratory signal frequency range is 0.1~0.8Hz, corresponding to a respiratory rate of 6~48 breaths / min, with a measurement accuracy of ±1 time / min.

[0029] Furthermore, the operating strategy of the control module includes an intermittent working mode, a time-sharing acquisition strategy, and an operation triggering mechanism. The intermittent working mode means that the MCU controls the entire system to remain in sleep or standby mode most of the time, only waking it up once at a preset interval (e.g., every 10 minutes). The time-sharing acquisition strategy means that after the system wakes up, it quickly starts the multi-parameter monitoring module to collect data, then starts the positioning module to obtain location information. All data is initially processed and packaged by the MCU, and then sent to the remote monitoring platform all at once by the wireless transmission module when the signal is optimal. Afterwards, all modules are immediately powered off, and the system re-enters sleep mode. The operation triggering mechanism means that when the system is in sleep mode, the triaxial accelerometer continues to operate at extremely low power consumption. Once abnormal animal activity is detected (e.g., violent running or prolonged stillness), the main system can be immediately woken up for more intensive data collection and reporting, realizing intelligent event triggering.

[0030] The workflow of a wireless transmission-based smart collar for multi-parameter monitoring of wildlife is as follows: Figure 4 As shown: 1. After the system is powered on and initialized, it enters a deep sleep mode, during which only the RTC (Real-Time Clock) and the three-axis accelerometer operate with extremely low power consumption.

[0031] 2. When the RTC timing reaches the preset interval (e.g., 10 minutes) or the triaxial accelerometer triggers an abnormal event, an interrupt signal is generated to wake up the MCU.

[0032] 3. When the MCU is powered on, it sequentially starts the body temperature sensor, heart rate sensor, and respiration sensor, and immediately shuts them down after collecting data.

[0033] 4. The MCU starts the positioning module, acquires the positioning data, and then immediately shuts down.

[0034] 5. The MCU performs data fusion, compression, and packaging processing on the collected data.

[0035] 6. The MCU starts the wireless transmission module, detects the signal strength, automatically switches the communication mode, connects to the network, and sends data packets to the remote monitoring platform. After sending, the wireless transmission module is shut down immediately.

[0036] 7. After recording the data from this operation, the MCU reconfigures the RTC and controls the entire system to enter deep sleep mode again, waiting for the next wake-up.

[0037] Through the above cycle, the system is in an ultra-low power sleep state 99% of the time, which greatly reduces the average annual power consumption and ensures the long-term use of the battery.

[0038] The above-mentioned smart collar for multi-parameter monitoring of wild animals based on wireless transmission provided in this application has the following advantages: 1. Multi-parameter precise monitoring, comprehensively reflecting health status: Integrating the monitoring functions of three core physiological parameters—body temperature, heart rate, and respiration—it can more comprehensively and accurately reflect the health status of wild animals compared to single-parameter monitoring devices.

[0039] 2. High-precision real-time positioning: It adopts GPS + Beidou dual-mode positioning with a positioning error of ≤3 meters. Combined with the automatic switching communication mode, it can achieve high-precision and wide-range real-time positioning.

[0040] 3. Ultra-long battery life: By selecting high-capacity density batteries, adopting low-power chips and power management strategies, long battery life is achieved, eliminating the need for frequent charging or battery replacement and reducing usage costs.

[0041] 4. Stable and reliable data transmission: Supports dual-mode communication and multiple data upload methods, and with data caching and retransmission functions, ensures that monitoring data and location information can be stably and completely transmitted back to the remote monitoring platform.

[0042] 5. Dual-module communication transmission adapts to the wild, significantly improving stability: 4G communication is suitable for areas with good signal coverage, featuring wide coverage and fast data transmission rate; LoRa wireless transmission technology achieves stable transmission of more than 2 kilometers in complex mountain and forest environments. Compared with transmission methods such as GPRS and Bluetooth, it has stronger anti-interference ability and longer transmission distance, solving the problem of data transmission interruption caused by signal blockage in the wild.

[0043] 6. High-strength and durable design, suitable for harsh outdoor environments: The collar body is made of composite materials and anti-corrosion coating, which has the characteristics of tear resistance, corrosion resistance and extreme environment resistance. Combined with antibacterial and breathable padding layer and anti-slip buckle, it is comfortable to wear and highly durable, can adapt to the complex living environment of wild animals, and has a service life of more than 2 years.

[0044] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0045] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A smart collar for multi-parameter monitoring of wild animals based on wireless transmission, characterized in that, include: The collar body and the housing disposed on the collar body; the housing integrates a multi-parameter monitoring module, a positioning module, a wireless transmission module, a control module and a power supply module; The collar is worn around the neck of the wild animal; The multi-parameter monitoring module is used to collect physiological parameters of wild animals; The physiological parameters include body temperature, heart rate, and respiration; The positioning module is used to obtain real-time location information of wild animals using GPS and Beidou dual-mode positioning. The wireless transmission module includes a 4G communication unit and a LoRa communication unit, used to transmit the physiological parameters and the real-time location information back to the remote monitoring platform; The power supply module is used to provide power support for the smart collar for multi-parameter monitoring of wild animals; The control module is connected to the multi-parameter monitoring module, the positioning module, and the power supply module, respectively, and is used to schedule each module of the smart collar for multi-parameter monitoring of wild animals and to process the physiological parameters.

2. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 1, characterized in that, The collar body is composed of an outer layer, a middle layer and an inner layer; the surface of the outer layer is coated with a polytetrafluoroethylene anti-corrosion coating. The middle layer is made of a composite material of food-grade silicone and Kevlar fiber; the inner layer is provided with a honeycomb breathable pad layer, and the surface of the breathable pad layer is coated with a medical-grade silver ion antibacterial coating.

3. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 1, characterized in that, The collar body is equipped with a length adjustment mechanism, which is a swivel buckle structure.

4. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 1, characterized in that, The two ends of the collar body are connected and fixed by a stainless steel snap-fit ​​connection structure, and a spring locking mechanism is provided in the connection structure.

5. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 1, characterized in that, The multi-parameter monitoring module includes: Body temperature sensors are used to collect the body temperature of wild animals; Heart rate sensors are used to collect heart rates in wild animals; A breathing sensor used to collect the breaths of wild animals.

6. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 5, characterized in that, The body temperature sensor is an NTC thermistor sensor; the sensing end of the body temperature sensor contacts the skin of the wild animal through a flexible heat-conducting sheet; the flexible heat-conducting sheet is installed in a raised circular hole on the inner side of the housing.

7. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 5, characterized in that, Both the heart rate sensor and the respiration sensor are flexible thin-film pressure sensors; the heart rate sensor and the respiration sensor are embedded in the silicone material on both sides of the housing, and come into contact with the skin of wild animals through anti-slip silicone protrusions.

8. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 5, characterized in that, The multi-parameter monitoring module further includes a signal processing unit, which is connected to the body temperature sensor, the heart rate sensor, and the respiration sensor respectively. The signal processing unit is used to convert the resistance change of the body temperature sensor into an electrical signal to realize body temperature monitoring, and to convert the pressure change of the heart rate sensor and the respiration sensor into electrical signals to realize heart rate and respiration monitoring.

9. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 1, characterized in that, It also includes a triaxial accelerometer, which is connected to the control module to detect the state of wild animals.

10. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 9, characterized in that, The positioning module has two working modes: a low-frequency wake-up mode and a high-frequency wake-up mode. When the wild animal is detected to be stationary, the positioning module switches to the low-frequency wake-up mode. When the wild animal is detected to be moving, the positioning module switches to the high-frequency wake-up mode.

11. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 1, characterized in that, The wireless transmission module uploads data via timed uploads and triggered uploads.

12. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 1, characterized in that, The power supply module includes a lithium battery and a power management unit.

13. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 1, characterized in that, The operating strategies of the control module include intermittent working mode, time-sharing acquisition strategy, and operation access mechanism.

14. The smart collar for multi-parameter monitoring of wild animals based on wireless transmission according to claim 1, characterized in that, The control module is used to perform signal conversion, filtering, amplification, AD conversion, and algorithm calibration on the physiological parameters.

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