A system and method for monitoring estrus in livestock based on activity levels and temperature analysis

Abstract

This invention discloses a system and method for monitoring livestock estrus based on activity level and temperature analysis, relating to the field of livestock farming monitoring. This system and method monitors livestock temperature, activity level, and posture data using a monitoring capsule. A data analysis and processing module processes the data, obtaining the maximum, minimum, and average activity levels. These three sets of data are then compared with standard activity levels to generate corresponding activity and temperature curves. Changes in posture data are used to analyze feeding time and amount. A probabilistic analysis model is used to analyze the data to determine if the livestock is in estrus. The data judgment and output module then comprehensively analyzes the estrus probability and the livestock's past estrus records to provide a final estrus result, directly sending the target livestock number, judgment result, and time point to the user.

Description

Technical Field

[0001] This invention relates to the field of livestock breeding monitoring technology, specifically to a system and method for monitoring livestock estrus based on activity level and temperature analysis. Background Technology

[0002] In livestock farming, breeding males and females are usually introduced for breeding. Different livestock will come into estrus during a few fixed months each year according to their habits. Effective mating can only be carried out during the estrus period. However, the timing of estrus is not fixed, which requires the farmers to observe the livestock and accurately grasp the estrus time to avoid missing the mating time.

[0003] Traditional methods rely on observing direct behaviors of livestock, which is inaccurate and requires long-term observation by farmers, making it very cumbersome. However, research has shown that cattle and sheep, the main animals in livestock farming, exhibit specific changes during estrus, including changes in body temperature, activity level, and feed and water intake. Therefore, by monitoring the body temperature, activity level, and feed intake of cattle and sheep, and then analyzing the curve changes over a period of time to comprehensively determine whether the cattle and sheep are in estrus, this method can assist farmers in understanding the estrus status of livestock and has high economic value and practical application significance. To this end, a system and method for monitoring livestock estrus based on activity level and temperature analysis is provided. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a system and method for monitoring livestock estrus based on activity level and temperature analysis. This solves the problems of traditional methods that rely on observations of livestock's direct behaviors, which are inaccurate and require long-term observation by livestock handlers, making them very cumbersome.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a system and method for monitoring livestock estrus based on activity level and temperature analysis, comprising a data acquisition module and a data analysis and processing module. The data acquisition module includes a monitoring capsule disposed within the livestock, which monitors various estrus-related data of the livestock. The monitoring capsule is equipped with a data transmission module for transmitting the monitored data externally. The data analysis and processing module includes a signal receiver for communicating with the data transmission module. The data analysis and processing module receives data information and processes and analyzes the data information. Simultaneously, the data analysis and processing module includes a probability analysis model, which is trained using historical data and the time points at which livestock exhibit estrus, thereby enabling the analysis model to predict the probability of estrus based on the data processing results during subsequent data processing.

[0006] Preferably, the monitoring capsule is an oral sensor, which includes a temperature sensor, an acceleration sensor, and an attitude sensor. After being inserted into the body, the oral sensor can continuously monitor various data of the cow. Under its own gravity, the oral sensor will remain stably in the rumen.

[0007] Preferably, the probability analysis model initially uses data directly fed by the user. By fitting curves and estrus time points to a large amount of data related to estrus, the model analyzes the correlation between relevant data and the occurrence point of the "estrus" event, thereby generating an initial model. This initial model is then used to analyze subsequent real-time data. Based on the analysis results, an estrus probability judgment is given. After the user observes the livestock, the actual results are fed back to the probability analysis model for judgment and correction. This allows the analysis model to be continuously trained during use, thereby improving the accuracy of subsequent estrus analysis.

[0008] Preferably, the data analysis and processing module further includes a data judgment and output module. The data judgment and output module will give a final estrus result judgment based on the estrus probability given by the probability analysis model and the comprehensive analysis of the animal's previous estrus record data. The target animal number, judgment result and time point will be sent directly to the user to remind the user that a certain animal is in estrus at a certain time point.

[0009] Preferably, the method for monitoring livestock estrus based on activity level and temperature analysis includes the following steps:

[0010] S1. Acquire livestock activity and temperature data. The activity data of livestock over 2 hours is obtained by monitoring the acceleration sensor in the capsule, and the body temperature change data of livestock over 2 hours is obtained by the temperature sensor. The acquired data is then transmitted to the data analysis and processing module through the data transmission module.

[0011] S2. Record livestock feeding and water intake data. Use the attitude sensor in the monitoring capsule to detect the current state of the monitoring capsule in the livestock's stomach and judge the livestock's feeding status based on the state.

[0012] S3. Compare the acquired data with the average value. Use the data analysis and processing module to extract the maximum, minimum and average activity values ​​obtained in step S1. Then compare the three sets of data with the standard activity level to analyze the range and curve of the animal's activity level change. Use the probability analysis model to perform estrus probability analysis on the fitted curve. Then use the data judgment output module to judge estrus and transmit the judgment result to the user.

[0013] S4. Combining veterinary observation and analysis to determine if the animal is in estrus, after receiving the analyzed estrus judgment, the veterinarian will then conduct an on-site inspection of the animal and provide an actual estrus result judgment, which will then be fed back to the livestock estrus monitoring system.

[0014] Preferably, the attitude sensor can determine whether the animal is in a feeding state based on dynamic changes in attitude, and mark the state data as "feeding". When the attitude sensor detects that the current attitude is no longer changing, it marks the end of "feeding" at this time, thereby recording the feeding and watering time of the animal, and analyzing the amount of food consumed by the animal based on the magnitude of attitude changes.

[0015] Preferably, the monitoring capsule is implanted into the animal orally, by being directly inserted into the throat to prevent the animal from chewing it. The surface of the capsule is treated with anti-oxidation and waterproofing. Each capsule is numbered, and the age, sex, and initial weight of the animal in which each numbered monitoring capsule is located are recorded.

[0016] This invention discloses a system and method for monitoring livestock estrus based on activity level and temperature analysis, which has the following beneficial effects:

[0017] 1. This system and method for monitoring livestock estrus based on activity level and temperature analysis includes a capsule containing a temperature sensor, an acceleration sensor, and a posture sensor. It is inserted into the rumen of the livestock via feeding and remains inside due to gravity. The capsule also has a data transmission module that wirelessly transmits the monitored temperature, activity level, and posture data to the data analysis and processing module within the livestock estrus monitoring system. The data analysis and processing module processes the data, obtaining the maximum, minimum, and average activity levels, and then compares these three sets of data with standard activity levels. The system compares and analyzes the animal's activity level and temperature changes, generating corresponding activity and temperature curves. It also analyzes the animal's feeding time and amount based on posture data. A probability analysis model is then used to analyze this data to determine if the animal is in estrus. The data output module then uses the probability analysis model's estrus probability and previous estrus records to provide a final estrus result. The target animal number, the result, and the time point are sent directly to the user to remind them that the animal is in estrus at a specific time. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a functional diagram of the livestock estrus monitoring system of the present invention;

[0020] Figure 2 This is a flowchart of the method for analyzing and monitoring estrus in livestock according to the present invention;

[0021] Figure 3 This is a schematic diagram illustrating the estrus monitoring principle of the present invention.

[0022] Figure 4 This is a graph showing the changes in animal temperature and activity levels according to the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are described clearly and completely. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] This application provides a system and method for monitoring livestock estrus based on activity level and temperature analysis, which solves the problems of low accuracy and the need for long-term observation by livestock, which are inherently cumbersome in traditional methods.

[0025] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0026] This invention discloses a system and method for monitoring livestock estrus based on activity level and temperature analysis.

[0027] According to the appendix Figure 1-4As shown, the system includes a data acquisition module and a data analysis and processing module. The data acquisition module includes a monitoring capsule installed inside the livestock to monitor various data related to estrus. The monitoring capsule is equipped with a data transmission module for transmitting the monitored data externally. The data analysis and processing module includes a signal receiver for communicating with the data transmission module. The data analysis and processing module receives data information and processes and analyzes it. Simultaneously, the data analysis and processing module includes a probability analysis model, which is trained using historical data and the time points at which livestock exhibit estrus. This allows the analysis model to predict the probability of estrus based on the data processing results during subsequent data processing.

[0028] The monitoring capsule is an orally administered sensor, which includes a temperature sensor, an acceleration sensor, and an attitude sensor. Once inserted into the body, the orally administered sensor can continuously monitor various data of the cow. Under its own gravity, the orally administered sensor will remain stably in the rumen.

[0029] The probability analysis model initially uses data directly fed to the user. By fitting curves and analyzing estrus time points based on a large amount of data related to estrus, the model generates an initial model. This initial model is then used to analyze subsequent real-time data. Based on the analysis results, the model makes an estrus probability judgment. After the user observes the livestock, they provide feedback to the probability analysis model, which is then used to make judgments and corrections. This process allows the analysis model to be continuously trained during use, thereby improving the accuracy of subsequent estrus analysis.

[0030] The data analysis and processing module also includes a data judgment and output module. The data judgment and output module will give the final estrus result judgment based on the estrus probability given by the probability analysis model and the comprehensive analysis of the animal's previous estrus records. The target animal number, judgment result and time point will be sent directly to the user to remind the user that a certain animal is in estrus at a certain time point.

[0031] The method for monitoring livestock estrus based on activity level and temperature analysis includes the following steps:

[0032] S1. Acquire livestock activity and temperature data. The activity data of livestock over 2 hours is obtained by monitoring the acceleration sensor in the capsule, and the body temperature change data of livestock over 2 hours is obtained by the temperature sensor. The acquired data is then transmitted to the data analysis and processing module through the data transmission module.

[0033] S2. Record livestock feeding and water intake data. Use the attitude sensor in the monitoring capsule to detect the current state of the monitoring capsule in the livestock's stomach and judge the livestock's feeding status based on the state.

[0034] S3. Compare the acquired data with the average value. Use the data analysis and processing module to extract the maximum, minimum and average activity values ​​obtained in step S1. Then compare the three sets of data with the standard activity level to analyze the range and curve of the animal's activity level change. Use the probability analysis model to perform estrus probability analysis on the fitted curve. Then use the data judgment output module to judge estrus and transmit the judgment result to the user.

[0035] S4. Combining veterinary observation and analysis to determine if the animal is in estrus, after receiving the analyzed estrus judgment, the veterinarian will then conduct an on-site inspection of the animal and provide an actual estrus result judgment, which will then be fed back to the livestock estrus monitoring system.

[0036] The attitude sensor can determine whether the animal is in a feeding state based on dynamic changes in its attitude and mark the status data as "feeding". When the attitude sensor detects that the current attitude is no longer changing, it marks the end of "feeding" at this time, thereby recording the feeding and watering time of the animal. At the same time, the amount of food consumed by the animal can be analyzed based on the magnitude of the attitude change.

[0037] The monitoring capsules are implanted orally into livestock by being placed directly into the throat to prevent chewing. The surface of the capsules is treated with anti-oxidation and waterproofing. Each capsule is also numbered, and the age, sex, and initial weight of the livestock in each numbered monitoring capsule are recorded.

[0038] Working Principle: This livestock estrus monitoring system, which analyzes activity levels and temperature, mainly consists of hardware and software. The hardware primarily includes a monitoring capsule implanted in the livestock. This capsule contains a temperature sensor, an accelerometer, and a posture sensor. It is inserted into the rumen of the livestock through feeding and remains inside due to gravity. The monitoring capsule also has a data transmission module. This module wirelessly transmits the monitored temperature, activity, and posture data to the data analysis and processing module within the livestock estrus monitoring system. The data analysis and processing module processes the data, analyzing the maximum and minimum activity levels and... The average value is calculated, and then the three sets of data are compared with the standard activity level. The analysis of the animal's activity level and temperature change range and curve is performed to generate corresponding activity level and temperature curves. At the same time, the feeding time and amount of the animal are analyzed based on the changes in posture data. Then, a probability analysis model is used to analyze the data to determine whether the animal is in estrus. The data judgment output module will then give the final estrus result judgment based on the estrus probability given by the probability analysis model and the animal's previous estrus records. The target animal number, judgment result and time point are sent directly to the user to remind the user that a certain animal is in estrus at a certain time.

[0039] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A system for monitoring livestock estrus based on activity level and temperature analysis, comprising a data acquisition module and a data analysis and processing module, characterized in that: The data acquisition module includes a monitoring capsule installed inside the animal's body. The monitoring capsule is used to monitor various data related to estrus in the animal. The monitoring capsule is equipped with a data transmission module for transmitting the monitored data externally. The monitoring capsule is an oral sensor, which includes a temperature sensor, an acceleration sensor, and an attitude sensor. After being inserted into the body, the oral sensor continuously monitors various data of the animal. The oral sensor remains stably in the rumen under its own gravity. The data analysis and processing module includes a signal receiver for communicating with the data transmission module. The data analysis and processing module is used to receive data information and process and analyze the data information. The data analysis and processing module is equipped with a probability analysis model. The probability analysis model initially uses data directly fed to the user. By fitting curves and estrus-related data and estrus time points, it analyzes the correlation between relevant data and the occurrence of the estrus event, thereby generating an initial model. This initial model is then used to analyze subsequent real-time data. Based on the analysis results, it makes an estrus probability judgment. After the user observes the livestock, they provide actual results to the probability analysis model for judgment and correction. This allows the probability analysis model to be continuously trained during use, improving the accuracy of subsequent estrus analysis. The data analysis and processing module also includes a data judgment and output module. The data judgment and output module performs a comprehensive analysis based on the estrus probability given by the probability analysis model and the previous estrus record data of the livestock, gives the final estrus result judgment, and sends the target livestock number, judgment result and time point directly to the user to remind the user that a certain livestock is in estrus at a certain time point. The livestock estrus monitoring system operates according to the following steps: S1. Acquire livestock activity and temperature data. Acquire livestock activity data over 2 hours through the accelerometer in the monitoring capsule, acquire livestock body temperature change data over 2 hours through the temperature sensor, and transmit the acquired data to the data analysis and processing module through the data transmission module. S2. Record livestock feeding and water intake data. The current state of the monitoring capsule in the livestock's stomach is detected by the posture sensor in the monitoring capsule. The feeding status of the livestock is determined based on the state. The posture sensor determines whether the animal is in a feeding state based on the dynamic changes in posture and marks the state data as "feeding". When the posture sensor detects that the current posture no longer changes, it marks the end of "feeding". This records the feeding and water intake time of the livestock and analyzes the amount of food consumed by the livestock based on the magnitude of posture changes. S3. Compare the acquired data with the average value. The data analysis and processing module extracts the maximum, minimum and average activity values ​​obtained in step S1. Then, compare the three sets of data with the standard activity level to analyze the range and curve of the livestock's activity level change. The probability analysis model is used to perform estrus probability analysis on the fitted curve. Then, the data judgment output module is used to judge estrus and transmit the judgment result to the user. S4. Based on the veterinarian's observation and analysis of whether the animal is in estrus, after receiving the analyzed estrus judgment, the veterinarian will conduct an on-site inspection of the animal, provide an actual estrus result judgment, and feed the judgment result back to the animal estrus monitoring system.

2. The livestock estrus monitoring system based on activity level and temperature analysis according to claim 1, characterized in that: The monitoring capsules are implanted into livestock orally, directly into the throat to prevent chewing. The surface of the monitoring capsules is treated with anti-oxidation and waterproofing. Each monitoring capsule is numbered, and the age, sex, and initial weight of the livestock in each numbered monitoring capsule are recorded.

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