Animal heat stress monitoring and early warning method based on near hypothalamic temperature

Abstract

The invention discloses an animal heat stress monitoring and early warning method based on the near-hypothalamus temperature, and relates to the technical field of animal health monitoring, and the method comprises the steps: collecting the ear canal temperature value # imgabs0 # of the near-hypothalamus; continuously recording # imgabs 1 # values and environment data within 24 hours, calculating a temperature and humidity index THI value, and establishing a reference body temperature # imgabs 2 # value for subsequent analysis; establishing a heat stress model for evaluating the heat stress level of the animal; monitoring and judging in real time, and when the THI reaches a preset heat stress level, triggering a heat stress judgment mechanism; and heat stress level calculation: calculating the heat stress level of the animal in real time by using the model. By establishing the mathematical model, the physiological temperature of the animal, the temperature and humidity index of the environment and the historical body temperature data can be comprehensively considered. The mathematical model provides a scientific basis for evaluation of the heat stress level, and the monitoring accuracy is remarkably improved.

Description

Technical Field

[0001] The invention relates to the technical field of animal health monitoring technology, and in particular to an animal heat stress monitoring and early warning method based on near-hypothalamus temperature. Background Art

[0002] In modern agriculture and animal husbandry, animal health management is crucial, especially in the hot season, when the heat stress problem faced by animals has received more and more attention. Heat stress not only affects the growth and production performance of animals, but also leads to the suppression of the immune system, increases the risk of disease, and may even cause death. Therefore, timely monitoring and early warning of the heat stress state of animals and taking corresponding management measures are of great significance to improving breeding efficiency and protecting animal health.

[0003] At present, traditional heat stress monitoring methods mainly rely on simple measurements of ambient temperature and humidity, and lack real-time monitoring of the physiological state of animals. This method has certain limitations and cannot fully reflect the true heat stress state of animals. Especially under complex climatic conditions, a single environmental parameter often cannot accurately predict the heat stress response of animals. Therefore, a more accurate and dynamic monitoring and early warning system is needed to improve the management level of heat stress. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the problems existing in the above-mentioned existing animal heat stress monitoring and early warning method based on near-hypothalamus temperature, the present invention is proposed.

[0006] A method for monitoring and early warning of animal heat stress based on near-hypothalamus temperature, the method comprising the following steps: Step 1: Temperature acquisition: implanting a temperature acquisition transmitter into the ear canal of the animal to ensure stable acquisition of ear canal temperature values ​​near the hypothalamus ;

[0007] Step 2: Environmental monitoring: Place temperature and humidity probes in the animal activity area to monitor the ambient temperature and humidity in real time, and transmit the data to the central processing system to continuously record the temperature and humidity within 24 hours. The temperature and humidity index THI value is calculated based on the value and environmental data to reflect the environmental heat stress conditions in different time periods;

[0008] Step 3: Baseline establishment: Based on the 24-hour values ​​of healthy animals at different stages of their lives, geographical locations and seasons Value, establish baseline body temperature Values ​​are used for subsequent analysis;

[0009] Step 4: Heat stress model establishment: Establish a mathematical model Used to assess heat stress levels in animals;

[0010] Step 5: Real-time monitoring and judgment: By real-time monitoring of the THI value and comparing it with the set heat stress threshold, when the THI reaches the preset heat stress level, the heat stress judgment mechanism is triggered;

[0011] Step 6: Calculation of heat stress level: Using the model Calculate the animal's heat stress level in real time and determine whether it exceeds the preset alarm threshold.

[0012] As a preferred embodiment of the animal heat stress monitoring and early warning method based on near-hypothalamic temperature described in the present invention, the method further includes an alarm mechanism: once different levels of heat stress values ​​are reached, the system automatically issues an alarm to prompt management personnel to take corresponding measures to ensure the health and safety of the animals.

[0013] As a preferred solution of the animal heat stress monitoring and early warning method based on near-hypothalamic temperature described in the present invention, wherein: the mathematical model The steps to establish are:

[0014] S1: First, calculate the difference between the actual body temperature and the baseline body temperature at time t to reflect the direct impact of heat stress. The expression formula is: ;

[0015] S2: Considering the temperature humidity index THI, the higher the value, the greater the risk of heat stress faced by animals, that is, the environmental impact is considered through an exponential decay function, and its expression is: ,in is the critical heat stress threshold;

[0016] S3: Taking into account the influence of time series, the sum of the above differences within the entire 24 hours is calculated by integration, so that the model can dynamically reflect the changes in heat stress of animals throughout the day. The calculation process is: ;

[0017] S4: Divide the above calculation result by the sum of the THI values ​​in the entire 24 hours to ensure that the model can take into account the environmental changes in the entire time period, thereby obtaining the heat stress level E;

[0018]

[0019] Among them, ϵ represents a very small positive number, which is used to avoid the situation where the denominator is zero and enhance the stability of the formula.

[0020] As a preferred solution of the animal heat stress monitoring and early warning method based on near hypothalamus temperature described in the present invention, the method further includes: adaptively adjusting the heat stress threshold according to historical data and real-time monitoring results. , by analyzing past data through algorithms and dynamically updating heat stress thresholds, the system can adapt to different individuals and environmental conditions and improve the sensitivity and accuracy of early warnings.

[0021] As a preferred embodiment of the animal heat stress monitoring and early warning method based on near-hypothalamic temperature described in the present invention, the dynamic heat stress threshold The specific adjustment process is:

[0022] Collect historical data, extract features from the collected data, and construct a feature matrix , including: body temperature deviation, environmental temperature and humidity index, physiological indicators;

[0023] Define the target variable Y, which is the probability of occurrence of heat stress events, 1 means occurrence, 0 means no occurrence;

[0024] Select a training model and use the training data set to train the model to obtain a prediction model M, where:

[0025] According to the results of the model, combined with the historical average heat stress level and standard deviation std Calculate the final heat stress threshold .

[0026] As a preferred embodiment of the animal heat stress monitoring and early warning method based on near-hypothalamic temperature described in the present invention, wherein: the historical average heat stress level The calculation formula is:

[0027]

[0028] The standard deviation std The calculation formula is: std

[0029] Ultimate heat stress threshold The calculation formula is: std

[0030] Among them, α and β are adjustment coefficients, is a coefficient used to adjust the threshold sensitivity.

[0031] As a preferred embodiment of the animal heat stress monitoring and early warning method based on near-hypothalamic temperature of the present invention, wherein: the current heat stress level and dynamic and dynamic heat stress thresholds For comparison, if A heat stress alarm is triggered.

[0032] As described above, the early warning system for animal heat stress monitoring and early warning method based on near-hypothalamus temperature includes the following functional modules:

[0033] The temperature collection module is used to continuously collect the near-hypothalamus temperature in the ear canal of the animal; the environmental monitoring module is used to monitor the ambient temperature and humidity around the animal and obtain real-time data; the data processing and analysis module processes and analyzes the collected data to establish a heat stress model;

[0034] As well as the heat stress judgment and warning module, it judges the heat stress level of animals based on the heat stress threshold calculated in real time and triggers a warning when the alarm conditions are reached.

[0035] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the above-mentioned animal heat stress monitoring and early warning method based on near-hypothalamic temperature are implemented.

[0036] A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of an animal heat stress monitoring and early warning method based on near-hypothalamic temperature as described in any one of claims 1 to 7 are implemented.

[0037] Beneficial effects of the present invention:

[0038] 1. The present invention can comprehensively consider the physiological temperature of animals, the temperature and humidity index of the environment and historical body temperature data by establishing a mathematical model. The mathematical model provides a scientific basis for the evaluation of heat stress levels and significantly improves the accuracy of monitoring.

[0039] 2. The present invention introduces an adaptive heat stress threshold calculation method, which dynamically adjusts the heat stress threshold based on the model prediction results and historical data. By real-time monitoring of the physiological state and environmental conditions of the animals, an early warning can be issued in a timely manner when the detected heat stress level exceeds the dynamic threshold. This dynamic adjustment mechanism enables the early warning system to flexibly respond to different individuals and environmental conditions, improving the pertinence and effectiveness of heat stress management. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0041] Figure 1 This is a schematic diagram of the overall structure of an animal heat stress monitoring and early warning method based on near-hypothalamus temperature proposed by the present invention;

[0042] Figure 2 This is a schematic diagram of changes in heat stress thresholds of cattle under experimental conditions in an embodiment of an animal heat stress monitoring and early warning method based on near-hypothalamic temperature proposed by the present invention. DETAILED DESCRIPTION

[0043] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0044] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0045] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0046] Reference Figure 1-Figure 2 , as an embodiment of the present invention, provides an animal heat stress monitoring and early warning method based on near-hypothalamus temperature, the method comprising the following steps:

[0047] Step 1: Temperature collection: implant the temperature collection transmitter into the animal's ear canal to ensure stable collection of ear canal temperature values ​​near the hypothalamus ;

[0048] Step 2: Environmental monitoring: Place temperature and humidity probes in the animal activity area to monitor the ambient temperature and humidity in real time, and transmit the data to the central processing system to continuously record the temperature and humidity within 24 hours. The temperature and humidity index THI value is calculated based on the value and environmental data to reflect the environmental heat stress conditions in different time periods;

[0049] Step 3: Baseline establishment: Based on the 24-hour values ​​of healthy animals at different stages of their lives, geographical locations and seasons Value, establish baseline body temperature Values ​​are used for subsequent analysis;

[0050] Step 4: Heat stress model establishment: Establish a mathematical model Used to assess heat stress levels in animals;

[0051] Specifically, the mathematical model The steps to establish are:

[0052] S1: First, calculate the difference between the actual body temperature and the baseline body temperature at time t to reflect the direct impact of heat stress. The expression formula is: ;

[0053] S2: Considering the temperature humidity index THI, the higher the value, the greater the risk of heat stress faced by animals, that is, the environmental impact is considered through an exponential decay function, and its expression is: ,in is the critical heat stress threshold;

[0054] S3: Taking into account the influence of time series, the sum of the above differences within the entire 24 hours is calculated by integration, so that the model can dynamically reflect the changes in heat stress of animals throughout the day. The calculation process is: ;

[0055] S4: Divide the above calculation result by the sum of the THI values ​​in the entire 24 hours to ensure that the model can take into account the environmental changes in the entire time period, thereby obtaining the heat stress level E;

[0056]

[0057] Among them, ϵ represents a very small positive number, which is used to avoid the situation where the denominator is zero and enhance the stability of the formula.

[0058] Step 5: Real-time monitoring and judgment: By real-time monitoring of the THI value and comparing it with the set heat stress threshold, when the THI reaches the preset heat stress level, the heat stress judgment mechanism is triggered;

[0059] Step 6: Calculation of heat stress level: Using the model The heat stress level of animals is calculated in real time, and it is determined whether it exceeds the preset alarm threshold. Once different levels of heat stress values ​​are reached, the system automatically issues an alarm, prompting managers to take corresponding measures to ensure the health and safety of the animals.

[0060] In addition, the heat stress threshold is adaptively adjusted based on historical data and real-time monitoring results. , by analyzing past data through algorithms and dynamically updating heat stress thresholds, the system can adapt to different individuals and environmental conditions and improve the sensitivity and accuracy of early warnings.

[0061] Dynamic heat stress threshold The specific adjustment process is:

[0062] Collect historical data, extract features from the collected data, and construct a feature matrix , including: body temperature deviation, ambient temperature and humidity index, physiological indicators, including but not limited to heart rate and exercise frequency;

[0063] Define the target variable Y, which is the probability of occurrence of heat stress events, 1 means occurrence, 0 means no occurrence;

[0064] Select a training model and use the training data set to train the model to obtain a prediction model M, where: .

[0065] According to the results of the model, combined with the historical average heat stress level and standard deviation std Calculate the final heat stress threshold .

[0066] The historical average heat stress level The calculation formula is:

[0067] The standard deviation std The calculation formula is: std

[0068] Ultimate heat stress threshold The calculation formula is: std

[0069] Among them, α and β are adjustment coefficients, is a coefficient used to adjust the threshold sensitivity.

[0070] Through the prediction of the model, the probability of occurrence of heat stress events can be obtained, thus providing data support for determining the adjustment coefficients α and β.

[0071] The current heat stress level and dynamic and dynamic heat stress thresholds For comparison, if A heat stress alarm is triggered.

[0072] Here, we simulate the dynamic heat stress threshold change process based on the data. We set the simulated animal type: cattle, monitoring period: 24 hours, environmental conditions: temperature range: 25°C to 38°C, humidity range: 40% to 90%, and heat stress level and threshold calculated based on 10 days of historical monitoring data. Figure 2It can be seen that the curve of the dynamic heat stress threshold of cattle shows the change of the threshold over time within 24 hours. The curve shows a gradually rising trend, indicating that under a specific probability of environmental heat stress, the heat stress threshold of cattle increases with time.

[0073] The monitoring and early warning system of the animal heat stress monitoring and early warning method based on the near-hypothalamus temperature as described above comprises:

[0074] The temperature collection module is used to continuously collect the near-hypothalamus temperature in the ear canal of the animal; the environmental monitoring module is used to monitor the ambient temperature and humidity around the animal and obtain real-time data; the data processing and analysis module processes and analyzes the collected data to establish a heat stress model;

[0075] As well as the heat stress judgment and warning module, it judges the heat stress level of animals based on the heat stress threshold calculated in real time and triggers a warning when the alarm conditions are reached.

[0076] This embodiment also provides a computer device, which is applicable to a method for monitoring and early warning of animal heat stress based on near-hypothalamic temperature, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement a method for monitoring and early warning of animal heat stress based on near-hypothalamic temperature as proposed in the above embodiment.

[0077] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0078] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, it implements an animal heat stress monitoring and early warning method based on near-hypothalamic temperature as proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0079] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for monitoring and early warning of animal heat stress based on near-hypothalamic temperature, characterized in that: The following steps are involved: Step 1: Temperature collection: implant the temperature collection transmitter into the animal's ear canal to ensure stable collection of ear canal temperature values ​​near the hypothalamus ; Step 2: Environmental monitoring: Place temperature and humidity probes in the animal activity area to monitor the ambient temperature and humidity in real time, and transmit the data to the central processing system to continuously record the temperature and humidity within 24 hours. The temperature and humidity index THI value is calculated based on the value and environmental data to reflect the environmental heat stress conditions in different time periods; Step 3: Baseline establishment: Based on the 24-hour values ​​of healthy animals at different stages of their lives, geographical locations and seasons Value, establish baseline body temperature Values ​​are used for subsequent analysis; Step 4: Heat stress model establishment: Establish a mathematical model Used to assess heat stress levels in animals; Step 5: Real-time monitoring and judgment: By real-time monitoring of the THI value and comparing it with the set heat stress threshold, when the THI reaches the preset heat stress level, the heat stress judgment mechanism is triggered; Step 6: Calculation of heat stress level: Using the model Calculate the animal's heat stress level in real time and determine whether it exceeds the preset alarm threshold.

2. The method for monitoring and early warning of animal heat stress based on near-hypothalamic temperature according to claim 1, characterized in that: The method also includes an alarm mechanism: once different levels of heat stress values ​​are reached, the system automatically issues an alarm, prompting managers to take corresponding measures to ensure the health and safety of the animals.

3. The method for monitoring and early warning of animal heat stress based on near-hypothalamic temperature according to claim 2, characterized in that: The mathematical model The steps to establish are: S1: First, calculate the difference between the actual body temperature and the baseline body temperature at time t to reflect the direct impact of heat stress. The expression formula is: ; S2: Considering the temperature humidity index THI, the higher the value, the greater the risk of heat stress faced by animals, that is, the environmental impact is considered through an exponential decay function, and its expression is: ,in is the critical heat stress threshold; S3: Taking into account the influence of time series, the sum of the above differences within the entire 24 hours is calculated by integration, so that the model can dynamically reflect the changes in heat stress of animals throughout the day. The calculation process is: ; S4: Divide the above calculation result by the sum of the THI values ​​in the entire 24 hours to ensure that the model can take into account the environmental changes in the entire time period, so as to obtain the heat stress level E; ; Among them, ϵ represents a very small positive number, which is used to avoid the situation where the denominator is zero and enhance the stability of the formula.

4. The method for monitoring and early warning of animal heat stress based on near-hypothalamic temperature according to claim 3, characterized in that: The method also includes: adaptively adjusting the heat stress threshold according to historical data and real-time monitoring results , by analyzing past data through algorithms and dynamically updating heat stress thresholds, the system can adapt to different individuals and environmental conditions and improve the sensitivity and accuracy of early warnings.

5. The method for monitoring and early warning of animal heat stress based on near-hypothalamus temperature according to claim 4, characterized in that: Dynamic heat stress threshold The specific adjustment process is: collect historical data, extract features from the collected data, and construct a feature matrix , including: body temperature deviation, environmental temperature and humidity index, physiological indicators; define the target variable Y, that is, the probability of occurrence of heat stress events, 1 means occurrence, 0 means no occurrence; select a training model, use the training data set to train the model, and obtain the prediction model M, where: According to the results of the model, combined with the historical average heat stress level and standard deviation std Calculate the final heat stress threshold .

6. The method for monitoring and early warning of animal heat stress based on near-hypothalamus temperature according to claim 5, characterized in that: The historical average heat stress level The calculation formula is: ; The standard deviation std The calculation formula is: std ; Final heat stress threshold The calculation formula is: std ; where α and β are adjustment coefficients, is a coefficient used to adjust the threshold sensitivity.

7. The method for monitoring and early warning of animal heat stress based on near-hypothalamus temperature according to claim 6, characterized in that: The current heat stress level and dynamic and dynamic heat stress thresholds For comparison, if A heat stress alarm is triggered.

8. The monitoring and early warning system of the animal heat stress monitoring and early warning method based on the near-hypothalamus temperature according to claim 7 is characterized in that: The system includes: a temperature acquisition module, which is used to continuously collect the near-hypothalamic temperature in the animal's ear canal; an environmental monitoring module, which is used to monitor the ambient temperature and humidity around the animal and obtain real-time data; a data processing and analysis module, which processes and analyzes the collected data and establishes a heat stress model; and a heat stress judgment and early warning module, which judges the animal's heat stress level based on the real-time calculated heat stress threshold and triggers an early warning when the alarm condition is reached.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the animal heat stress monitoring and early warning method based on near-hypothalamic temperature as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of an animal heat stress monitoring and early warning method based on near-hypothalamic temperature as described in any one of claims 1 to 7 are implemented.

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