Veterinary hybridization electronic recording method and system

Abstract

The invention relates to the technical field of veterinary mating, in particular to an electronic recording method and system for veterinary mating, and the method comprises the following steps: based on the data of a breeding stock mating site, collecting the data flow of temperature and humidity sensors arranged at different positions, detecting the fluctuation range of the data, screening a stable interval in a continuous time period, and analyzing the fluctuation of environmental factors. The environment stability trend of the hybridization site is obtained. According to the method, through multi-dimensional environmental data monitoring and sensing data fusion of differentiated positions, precise assessment and stable interval screening of a site environment are achieved, the environmental adaptability analysis capability is improved, a precise physiological state recognition system is constructed in combination with breeding stock physiological data and environmental factors, and multi-parameter breeding tendency judgment is achieved; by combining behavior analysis of video stream data with physiological data, accurate evaluation and tracking of hybridization behaviors are optimized, a traceable hybridization execution log is formed, and data management precision and optimization capability are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of veterinary breeding technology, in particular to a veterinary breeding electronic recording method and system. BACKGROUND

[0002] The field of veterinary breeding technology includes animal reproduction management, artificial insemination, reproductive health monitoring and breeding optimization, etc. In this technical field, the reproductive process of livestock and poultry animals is scientifically managed to improve the success rate of reproduction and genetic improvement. Veterinary breeding technology involves reproductive physiology, semen collection and processing, insemination technology, reproductive performance evaluation and related data recording. With the development of information technology, electronic recording and intelligent management have gradually become an important part of the field of veterinary breeding to improve the accuracy and traceability of data management.

[0003] Among them, the veterinary breeding electronic recording method refers to the method of recording and managing animal breeding related information by using electronic devices and information management technology. This patent subject covers the identification of breeding stock, collection of reproductive data, recording of breeding process, information storage and query, etc. The specific way includes using electronic tags or two-dimensional codes for individual identification of breeding stock, collecting physiological data and breeding time information of breeding stock through wireless sensors or input terminals, storing breeding history, reproductive health status and offspring information of breeding stock using database, and realizing the management and traceability of breeding data through data query and statistical functions.

[0004] The existing technology mainly relies on electronic recording in breeding management, but lacks effective evaluation of site stability in environmental factor monitoring, resulting in breeding decision affected by environmental fluctuations and reducing accuracy. Although the physiological data collection method covers body temperature, hormone level and other indicators, it fails to combine environmental changes and behavior characteristics for multi-dimensional correlation analysis, resulting in limitations in breeding tendency recognition and missing the best breeding opportunity. Breeding behavior recording relies on traditional information storage methods and fails to effectively use video stream data for behavior characteristic analysis, resulting in inaccurate mating action recognition and affecting the integrity judgment of breeding behavior. The breeding data management mode is relatively single, lacking comprehensive tracking ability of physiological changes, behavior characteristics and breeding execution, resulting in insufficient management accuracy and traceability of data, affecting the improvement of long-term optimization and reproduction success rate. SUMMARY

[0005] The purpose of the present application is to solve the shortcomings in the prior art and to provide a veterinary breeding electronic recording method and system.

[0006] In order to achieve the above purpose, the technical scheme adopted by the present application is as follows: a veterinary breeding electronic recording method, comprising the following steps: S1: based on the breeding site data of breeding stock, collecting the temperature and humidity sensor data stream of the differential position layout, detecting the data fluctuation range, screening the stable interval in the continuous time period, analyzing the fluctuation of environmental factors, and obtaining the environmental stability trend of the breeding site; S2: based on the environmental stability trend of the breeding site, extracting the data of the breeding stock body temperature monitoring device, detecting the data change in the time interval, analyzing the fluctuation correlation between the differential data, screening the physiological state of breeding tendency, and obtaining the physiological change state of the breeding stock; S3: based on the physiological change state of the breeding stock, analyzing the body temperature monitoring data and the behavior characteristic change of breeding behavior perception, screening the body temperature fluctuation, hormone level rise and behavior active interval of the key time point, judging the matching degree of physiological data and behavior data, screening the time window meeting the breeding condition, and obtaining the breeding time node of the breeding stock; S4: based on the breeding time node of the breeding stock, identifying the behavior characteristics of mating posture and breeding action duration, analyzing the integrity of behavior action, judging whether the breeding behavior meets the expected mode, screening the behavior data meeting the standard, and obtaining the breeding behavior analysis record.

[0007] As a further scheme of the present application, the environmental stability trend of the breeding site includes temperature stability range, humidity stability range, light intensity stability range and air pressure stability range, the physiological change state of the breeding stock includes body temperature change characteristics, hormone level change characteristics, heartbeat frequency change characteristics and breathing frequency change characteristics, the breeding time node of the breeding stock includes body temperature fluctuation point, hormone level peak value, behavior active period and matching time window, and the breeding behavior analysis record includes mating posture characteristics, breeding action characteristics, behavior integrity characteristics and mode matching characteristics.

[0008] As a further scheme of the present application, the acquisition step of the environmental stability trend of the breeding site is specifically: S111: based on the breeding site data of breeding stock, collecting temperature, humidity, light intensity and air pressure information, extracting temperature and humidity sensor data stream data of differential position, comparing temperature and humidity data, screening data fluctuation range, and obtaining temperature and humidity sensor data fluctuation value; S112: calling the temperature and humidity sensor data fluctuation value, screening the interval with small fluctuation amplitude in the continuous time period, analyzing the change trend of temperature and humidity data in the interval, and using the formula: ; to calculate the stable interval temperature and humidity change rate; wherein, represents the stable interval temperature and humidity change rate, represents the temperature value at time , and represents the temperature value at time temperature value at the moment, representative time humidity value at the moment, representative time humidity value at the moment, representative sampling number in the time interval, representative weight coefficient of temperature change on overall trend calculation, representative weight coefficient of humidity change on overall trend calculation, representative adjustment parameter of time interval length affecting calculation denominator; S113: Based on the stable interval temperature and humidity change rate, combined with the light intensity and air pressure data, the fluctuation of environmental factors is analyzed, and the fluctuation trend of the differentiated time period is analyzed to obtain the environmental stability trend of the breeding site.

[0009] As a further scheme of the present application, the acquisition step of the physiological change state of the breeding stock is specifically: S211: Based on the environmental stability trend of the breeding site, the body temperature, hormone level, heartbeat frequency and respiration frequency data of the breeding stock are extracted, the data change in the specified time interval is detected, the time change rate of each physiological parameter is identified, the physiological parameter screening is performed according to the fluctuation degree of the change rate, and the physiological parameter fluctuation data is obtained; S212: The physiological parameter fluctuation data is called to analyze the change trend correlation between the differentiated parameters, and the formula: ; The correlation coefficient between the physiological parameters is calculated, the parameter pairs with strong correlation are screened, and the parameter correlation analysis result is obtained; wherein, represent the correlation coefficient between the physiological parameters, represent the observation value of the a-th physiological parameter, represent the observation value of the b-th physiological parameter, represent the mean value of the a-th physiological parameter, represent the mean value of the b-th physiological parameter, represent the total number of physiological parameters; S213: Based on the parameter correlation analysis result, the deviation amplitude ratio is identified, combined with the fluctuation amplitude difference of the differentiated time interval, the physiological parameter combination that presents a key change trend under the breeding tendency condition is screened, and the physiological change state of the breeding stock is obtained.

[0010] As a further scheme of the present application, the acquisition step of the breeding time node of the breeding stock is specifically: S311: Extract the body temperature monitoring data and time series based on the physiological change state of the breeding stock, identify the body temperature fluctuation amplitude, screen the body temperature rising stage that meets the physiological change, and use the formula: ; Obtain the body temperature fluctuation amplitude value; Among them, represents the body temperature fluctuation amplitude value, represents the body temperature at the first time, represents the body temperature at the first time, represents the body temperature at the first time, represents the body temperature at the first time, represents the total amplitude of the body temperature change in the body temperature change period, represents the basal body temperature of the individual; S312: Based on the body temperature fluctuation amplitude value, screen the hormone level rising time interval, call the time series data, and obtain the hormone change rate value; S313: Call the body temperature fluctuation amplitude value and the hormone change rate value, analyze the behavior activity degree, judge the matching degree of physiological data and behavior data, screen the time window, and obtain the breeding time node of the breeding stock.

[0011] As a further scheme of the present application, the acquisition step of the mating behavior analysis record is specifically: S411: Based on the breeding time node of the breeding stock, extract the video stream data of the mating behavior perception device, calculate the angle change amount and contact point offset value of the mating posture, and obtain the mating posture change parameter; S412: Call the mating posture change parameter, extract the key time point in the mating action duration, analyze the posture change rate and contact point offset trend, and use the formula: ; Calculate the mating action integrity measure value to obtain the mating action integrity feature; Among them, represents the mating action integrity measure value, represents the total number of time segments, represents the posture angle change amount of the kth time segment, represents the posture angle change amount of the kth time segment, represents the posture angle change amount of the kth time segment, represents the body contact point offset value of the kth time segment, represents the body contact point offset value of the kth time segment; S413: Based on the mating action integrity feature, screen the behavior data that meets the integrity standard, judge whether the mating behavior meets the expected mode, and obtain the mating behavior analysis record. ​

[0012] As a further scheme of the present application, the method further comprises a step S5: S5: Based on the service behavior analysis record, identify the physiological change state of the differentiated time period, analyze the body temperature, hormone level, action timing and mating completion degree in the service process, screen the effective service data, store the key data of the service period, and obtain the service execution log of the breeding animal; The service execution log of the breeding animal includes effective service data, service process physiological data, service period data, and mating completion degree data.

[0013] As a further scheme of the present application, the service execution log of the breeding animal is obtained by: S511: Based on the service behavior analysis record, extract the body temperature, hormone level, action timing and mating completion degree data, analyze the body temperature change and hormone fluctuation data, record the action timing, mating duration and completion degree, and obtain the physiological change state matching value; S512: Call the physiological change state matching value, combine the body temperature change rate and hormone fluctuation amplitude, calculate the effective service data screening factor, and use the formula: ; Screen the service data that meets the matching condition to obtain the effective service data set; Among them, represents the effective service data screening factor, and respectively represent the body temperature change value before and after service, and respectively represent the hormone level before and after service, represents the mating timing deviation value, represents the number of recorded timing items, represents the mating completion degree reference value; S513: Call the effective service data set, record the mating data in the service period, store it according to the time axis, and obtain the service execution log of the breeding animal.

[0014] The electronic service record system for veterinarians is used to execute the above-mentioned electronic service record method for veterinarians, and the system comprises: The environment monitoring module extracts the temperature, humidity, light intensity and air pressure of the service site based on the breeding animal service site data, extracts the temperature and humidity sensor data stream, identifies the fluctuation range of the environmental parameters, screens the stable interval, and obtains the service site environmental stability trend; The breeding animal physiological monitoring module extracts the body temperature, hormone level, heart rate and respiration rate of the veterinarian service monitoring based on the service site environmental stability trend, screens the physiological state of the service tendency, and obtains the physiological change state of the breeding animal; The breeding time determination module extracts monitored breeding animal body temperature data, hormone level changes and behavior activity based on the physiological change state of the breeding animal, screens a time window of body temperature rise and hormone level fluctuation peak value, analyzes the matching degree of body temperature, hormone level and behavior characteristics, screens a time node meeting the breeding tendency, and obtains a breeding animal breeding time node; The breeding behavior analysis module extracts video stream data of the breeding behavior perception device based on the breeding animal breeding time node, analyzes mating posture and breeding action duration, screens behavior data meeting the standard, and obtains breeding behavior analysis records; The breeding log management module extracts physiological change states in the same time period based on the breeding behavior analysis records, analyzes data matching of body temperature, hormone level, action timing and mating completion degree, screens effective breeding data, and obtains breeding animal breeding execution logs.

[0015] Compared with the prior art, the advantages and positive effects of the present application are that: In the present application, through multi-dimensional environmental data monitoring and differential position sensing data fusion, accurate evaluation of the site environment is realized, stable environmental intervals are effectively screened, the environmental adaptability analysis capability of the breeding site is improved, the linkage change of the breeding animal physiological data and environmental factors is combined to construct a more accurate physiological state recognition system, the breeding tendency is judged based on multi-parameter data, the matching degree of the fluctuation trend of the physiological data and the breeding time is higher. Based on the cross analysis of physiological state and behavior data, the key characteristics of body temperature fluctuation, hormone level change and behavior activity are extracted, the judgment of the breeding time is more accurate, through the behavior analysis of the video stream data, the compatibility judgment of the physiological data is combined, the integrity and matching degree of the mating action are accurately screened, the breeding behavior meets the expected standard, the matching analysis of the physiological change data and the mating behavior makes the monitoring of the breeding process more complete, improves the accurate evaluation and tracking capability of the breeding behavior, optimizes the prediction of the breeding success rate, optimizes the data storage and cycle management, makes the breeding record more systematic, forms a traceable breeding execution log, and improves the management accuracy and long-term optimization capability of the data. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 It is a workflow schematic diagram of the present application; Figure 2 It is a process diagram for obtaining the stable trend of the breeding site environment in the present application; Figure 3 It is a process diagram for obtaining the physiological change state of the breeding animal in the present application; Figure 4 It is a process diagram for obtaining the breeding time node of the breeding animal in the present application; Figure 5 It is a process diagram for obtaining the breeding behavior analysis records in the present application; Figure 6 The flowchart of the acquisition process of the breeding log for the breeding of the breeding stock in the present application. DETAILED DESCRIPTION

[0017] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application.

[0018] In the description of the present application, it should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship shown in the drawings, which are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application. In addition, in the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise explicitly and specifically limited.

[0019] Example one: please refer to Figure 1 The present application provides a technical solution: a veterinary breeding electronic recording method, comprising the following steps: S1: based on the breeding site data of the breeding stock, including temperature, humidity, light intensity, air pressure information, collecting the temperature and humidity sensor data stream arranged in different positions, detecting the data fluctuation range, screening the stable interval in the continuous time period, analyzing the fluctuation of environmental factors, and obtaining the environmental stability trend of the breeding site; S2: based on the environmental stability trend of the breeding site, extracting the body temperature, hormone level, heartbeat frequency, and respiration frequency data of the breeding stock temperature monitoring device, detecting the data change in the time interval, analyzing the fluctuation correlation between the different data, screening the physiological state of the breeding tendency, and obtaining the physiological change state of the breeding stock; S3: based on the physiological change state of the breeding stock, analyzing the change of the behavior characteristic of the breeding behavior perception and the breeding stock temperature monitoring data, screening the body temperature fluctuation, hormone level rise and behavior active interval at the key time point, judging the matching degree of physiological data and behavior data, screening the time window that meets the breeding conditions, and obtaining the breeding time node of the breeding stock; S4: based on the breeding time node of the breeding stock, extracting the video stream data of the breeding behavior perception device, identifying the behavior characteristics of the mating posture and breeding action duration, analyzing the integrity of the behavior action, judging whether the breeding behavior meets the expected mode, screening the behavior data that meets the standard, and obtaining the breeding behavior analysis record; S5: Based on the breeding behavior analysis records, identify the physiological changes in different time periods, analyze the body temperature, hormone levels, movement timing and mating completion during the breeding process, screen effective breeding data, store key data of the breeding cycle, and obtain the breeding execution log of breeding animals.

[0020] The environmental stability trend of the breeding site includes the temperature stability range, humidity stability range, light intensity stability range, and air pressure stability range. The physiological change status of breeding animals includes the characteristics of body temperature changes, hormone level changes, heart rate changes, and respiratory rate changes. The breeding time nodes of breeding animals include body temperature fluctuation points, hormone level peaks, behavioral active periods, and matching time windows. The breeding behavior analysis records include mating posture characteristics, breeding action characteristics, behavioral integrity characteristics, and pattern matching characteristics. The breeding execution log of breeding animals includes effective breeding data, physiological data of the breeding process, breeding cycle data, and mating completion data.

[0021] See also Figure 2 The specific steps for obtaining the stable trend of the breeding site environment are as follows: S111: Based on the breeding site data of breeding stock, temperature, humidity, light intensity, and air pressure information are collected, and data streams of temperature and humidity sensors at different locations are extracted. The temperature and humidity data are compared, and the data fluctuation range is screened to obtain the temperature and humidity sensor data fluctuation value; Collect temperature, humidity, light intensity and air pressure information. The data comes from sensors at multiple monitoring points in the breeding grounds. Each sensor is set at a specific location to capture small changes in environmental data. By comparing the temperature and humidity data between different sensors, abnormal fluctuations in environmental conditions can be effectively identified. For example, if the sensor in a certain area shows a sudden increase in temperature, it indicates that there is equipment failure or heat source interference in the area. In this case, the operator can respond quickly, investigate and solve the source of the problem. By calculating the difference in data from each sensor within the same time period, the operator will set a threshold, such as a temperature change of ±2°C and a humidity change of ±5%, to screen out important data fluctuations. The threshold is set based on historical data and typical environmental conditions to ensure that only significant changes are further analyzed to obtain the fluctuation value of the temperature and humidity sensor data.

[0022] S112: Call the temperature and humidity sensor data fluctuation value, select the interval with small fluctuation amplitude within the continuous time period, and analyze the change trend of the temperature and humidity data within the interval, using the formula: ; Calculate the temperature and humidity change rate in the stable range; The temperature and humidity sensor data fluctuation values are called from the output of S111 to obtain the temperature fluctuation value and humidity fluctuation value calculated for each temperature and humidity sensor in the stud site within a certain sampling period (for example, every 5 minutes), and the fluctuation value represents the maximum change amplitude of the sensor within a short time. For example, the temperature of sensor A changes from 25.0°C to 26.5°C and the humidity changes from 60% to 63.2% within a certain 5-minute sampling period. The discrete fluctuation data is received and processed in the form of a continuous data stream. When the fluctuation amplitude of the interval within the continuous time period is small, the temperature and humidity fluctuation values within the continuous time window (for example, 6 consecutive sampling periods, i.e. 30 minutes) are first judged. The specific execution action is to check whether the temperature fluctuation values of all temperature and humidity sensors within the time window are less than or equal to the preset temperature fluctuation threshold, and whether all humidity fluctuation values are less than or equal to the preset humidity fluctuation threshold. The temperature fluctuation threshold is set to 0.5°C and the humidity fluctuation threshold is set to 1.0%. The threshold is set according to the physiological needs of the breeding stock (for example, beef cattle) and the historical environmental data experience of the breeding farm. The suitable temperature fluctuation range of beef cattle during the breeding period is narrow, and the humidity also needs to be maintained at a stable level. When the temperature fluctuation value is determined to be in the "small fluctuation amplitude" interval, it means that the absolute value of the temperature fluctuation value within the time period is not greater than 0.5°C. Similarly, when the humidity fluctuation value is determined to be in the "small fluctuation amplitude" interval, it means that the absolute value of the humidity fluctuation value within the time period is not greater than 1.0%. For example, if the temperature and humidity fluctuations of all monitoring points (such as point 1 temperature fluctuation 0.2°C, humidity fluctuation 0.5%; point 2 temperature fluctuation 0.3°C, humidity fluctuation 0.8%) are lower than the above threshold within the 30-minute time window from 8:00 to 8:30 in the morning, then the 30-minute interval is defined as a continuous time interval with small fluctuation amplitude. Once a continuous time interval with small fluctuation amplitude is screened out, the original temperature data sequence and humidity data sequence of all sensors within the interval are extracted, and the variation trend of the temperature and humidity data within the interval is analyzed. The specific analysis action is to divide the interval into smaller time steps (for example, every 10 minutes), calculate the average temperature and average humidity in each small time step, and then compare the average values of consecutive small time steps to determine whether the temperature and humidity are rising, falling or basically flat. For example, within the stable interval from 8:00 to 8:30, the temperature data of sensor A is 24.5°C at 8:00, 24.6°C at 8:10, 24.7°C at 8:20, and 24.8°C at 8:30, which shows a weak upward trend. The humidity data is 62.0% at 8:00, 61.9% at 8:10, 61.8% at 8:20, and 61.7% at 8:30, which shows a weak downward trend. The trend is divided into three types: rising, falling, and stable. The judgment basis is that if the average value at the end of the interval increases by more than a preset small threshold (for example, 0.1°C or 0.2% ), then it is determined as an upward trend; if it is reduced by more than a micro threshold, it is determined as a downward trend; otherwise, it is determined as a stable trend, for example, in the above 8:00 to 8:30 interval, the temperature rises from 24.5℃ to 24.8℃, rising by 0.3℃, which exceeds the micro threshold of 0.1℃, and it is determined as an upward trend, the humidity decreases from 62.0% to 61.7%, decreasing by 0.3%, which exceeds the micro threshold of 0.2%, and it is determined as a downward trend, and the stable interval temperature and humidity change rate is calculated.

[0023] The formula is: wherein, represents the stable interval temperature and humidity change rate, represents the temperature value at time , represents the temperature value at time , represents the humidity value at time , represents the humidity value at time , represents the number of samples in the time interval, represents the weight coefficient of temperature change for overall trend calculation, represents the weight coefficient of humidity change for overall trend calculation, represents the adjustment parameter of time interval length affecting the calculation denominator; In the data, find the interval with the smallest fluctuation amplitude in the continuous time period, carefully filter and calculate the temperature and humidity data of the sensor to determine the stable interval. In order to achieve this, first calculate the temperature and humidity change between time points, assuming that the temperature data in a certain time period is (unit: ℃), and the humidity data is (unit: %), the data corresponds to the collection results of 5 adjacent time points, first calculate the temperature change between adjacent time points: ; ; ; ; Similarly, calculate the humidity change: ; ; ; ; Assuming , , , calculate the summation term: ; Recalculate the denominator: ; Finally calculate the stable interval temperature and humidity change rate: ; Calculate the stability value of temperature and humidity data to get the stable interval temperature and humidity change rate 0.318.

[0024] S113: Based on the stable interval temperature and humidity change rate, combined with the light intensity and air pressure data, analyze the fluctuation of environmental factors, and analyze the fluctuation trend of the differentiated time period, to get the environmental stability trend of the breeding site; Combined with the light intensity and air pressure data, comprehensive environmental fluctuation analysis is carried out, including comparing the temperature and humidity data with the change trend of light and air pressure, for example, by comparing the light intensity and air pressure data in different time periods, it can be found out whether there is correlation with the temperature and humidity change rate, if the temperature and humidity change is small in a certain period, the light and air pressure also show relative stability, then it can be inferred that the environmental conditions in this period are suitable, otherwise, further investigation is needed to find out the problem, through this comprehensive analysis, the environmental stability trend of the breeding site can be obtained, to ensure that the breeding stock is bred in the optimal environmental conditions.

[0025] Please refer to Figure 3 , the acquisition steps of the physiological change state of the breeding stock are: S211: Based on the environmental stability trend of the breeding site, extract the body temperature, hormone level, heart rate, and respiratory rate data of the breeding stock, detect the data change in the specified time interval, identify the time change rate of each physiological parameter, and screen the physiological parameters according to the fluctuation degree of the change rate to obtain the physiological parameter fluctuation data; Monitoring the physiological changes of breeding stock to determine its health status and breeding time is the key, and in this paragraph, the monitoring data of the body temperature, hormone level, heart rate, and respiratory rate of the breeding stock are concerned, in a specific time interval, for example, at the beginning of the breeding season of the breeding stock, the daily body temperature data is obtained by the set body temperature monitoring device, the heart rate and respiratory rate are recorded every hour, and the hormone level is measured every three days to monitor its periodic change, such detailed operation can help understand the physiological cycle and health status of the breeding stock, by analyzing the time change rate of the data, for example, calculating the percentage change between each data point and the previous data point, the abnormal fluctuation of the physiological parameters can be more accurately identified, the fluctuation indicates the problem of reproductive health or the best time for breeding, and finally the physiological parameters with obvious fluctuation are screened out, through continuous monitoring and comparison of data changes, to help veterinarians and farmers better manage the breeding cycle of breeding stock, to obtain the physiological parameter fluctuation data.

[0026] S212: Call physiological parameter fluctuation data, analyze the change trend correlation between the differential parameters, use the formula: ; Calculate the correlation coefficient between the physiological parameters, screen the parameter pairs with strong correlation, and obtain the parameter correlation analysis result; Among them, represents the correlation coefficient between the physiological parameters, represents the observation value of the a-th physiological parameter, represents the observation value of the b-th physiological parameter, represents the mean value of the a-th physiological parameter, represents the mean value of the b-th physiological parameter, represents the total number of physiological parameters; Analyze the correlation between the data in order to make more accurate predictions and management of the physiological state of breeding stock in biotechnology applications, for example, in an actual farm environment, the physiological parameters of a certain cow are recorded as follows in the monitoring of 7 consecutive days, body temperature (℃): 38.1, 38.3, 38.7, 39.0, 39.2, 39.1, 38.9, heart rate (times / minute): 72, 75, 78, 80, 82, 81, 79, first standardize the two groups of data, subtract the mean value of all data points and divide by the standard deviation, and calculate the correlation; Calculate the mean value: ; ; Calculate the standard deviation component: ; ; Calculate the covariance component: ; Calculate the correlation coefficient: ; The final calculated physiological parameter correlation coefficient is 0.9921, which indicates that the correlation between body temperature and heart rate is very strong, close to 1, indicating that the increase in body temperature and heart rate is highly consistent, meaning that during the breeding period or abnormal health state, the heart rate and body temperature of breeding stock will increase synchronously. This trend can be used as reference data for determining the mating time, screening parameter pairs with strong correlation, and obtaining the parameter correlation analysis result.

[0027] S213: Based on the parameter correlation analysis result, identify the offset amplitude ratio, combine the fluctuation amplitude difference of the differential time interval, screen the physiological parameter combination that presents a key change trend under the mating tendency condition, and obtain the physiological change state of the breeding stock; The physiological change state of the breeding animal is determined, for example, in practical applications, the data collected by the monitoring device and the matrix obtained by correlation analysis help to accurately calculate the offset amplitude ratio of the physiological parameters of the breeding animal in a specific time period, combined with the difference value of the fluctuation amplitude in the time interval, further screening out the physiological parameter combination that presents a specific change trend under the condition of mating inclination, which reflects the physiological state change of the breeding animal approaching the estrus period, such change is accompanied by the rise of body temperature and the change of hormone level, such analysis and screening process not only helps to more accurately identify the best time for mating, but also optimizes the health management and reproductive efficiency of the breeding animal through the accurate calculation of the offset amplitude ratio, and finally obtains the physiological change state of the breeding animal.

[0028] Please refer to Figure 4 , the acquisition step of the breeding animal mating time node is specifically: S311: Based on the physiological change state of the breeding animal, extract the body temperature monitoring data and time sequence of the breeding animal, identify the body temperature fluctuation amplitude, screen the body temperature rising stage that meets the physiological change, and use the formula: ; Obtain the body temperature fluctuation amplitude value; Wherein, represents the body temperature fluctuation amplitude value, represents the body temperature at the th time, represents the body temperature at the th time, represents the reference total amplitude of body temperature change in the body temperature change period, represents the basal body temperature of the individual; represents the reference total amplitude of body temperature change in the typical physiological active period (such as the pre-estrus body temperature rising stage) of the breeding animal according to the physiological characteristics and historical monitoring data of the breeding animal, which is in Celsius (℃); By obtaining the breeding stock body temperature monitoring data and time series, the data is preliminarily sorted, including removing outliers, smoothing the data curve, and ensuring the continuity of data collection. For example, assuming that the basal body temperature of a certain animal is 38.5℃, the body temperature may fluctuate abnormally due to ambient temperature or sensor error during the measurement process. During the data processing, the sliding mean method is used to calculate the average body temperature of every five consecutive time points to reduce the error. Next, the body temperature fluctuation amplitude is calculated. This process is achieved by comparing the body temperature changes at consecutive time points. Assuming that the body temperature data at 10:00, 10:05, and 10:10 are 38.6℃, 39.2℃, and 39.8℃ respectively, the body temperature increments at different time points are calculated. In this case, the body temperature change trend is obviously increasing, so it can be judged that this time point is part of the reproductive active period. In order to more accurately analyze the body temperature fluctuation amplitude; For a certain type of breeding stock, based on the physiological law that the body temperature usually rises during the proestrus period and historical monitoring data, the total reference range of body temperature during this period is set to ℃, which reflects the typical range of body temperature changes from basal level to peak value during physiologically active stages such as estrus; Current moment ℃, the previous moment ℃, basal body temperature ℃; The calculation shows that: ; Therefore, the body temperature fluctuation amplitude value at this time point is 1.633. This value can be used to screen the body temperature rising stage that is consistent with the physiological changes of breeding. In practical applications, if this value exceeds a certain threshold (for example, 1.5), it can be preliminarily judged that the breeding stock has entered a physiological state suitable for breeding. Through data calculation and analysis, the body temperature fluctuation amplitude value is finally obtained. The data can serve as an important reference for subsequent breeding time screening.

[0029] S312: Based on the body temperature fluctuation amplitude value, the time interval of hormone level increase is screened, and the time series data is called to obtain the hormone change rate value; Monitor the hormone levels of breeding animals and record their changing trends. Use data analysis tools to draw a graph of hormone levels over time and find the stage when hormone levels rise significantly. This indicates that the breeding animals are at the peak of their reproductive cycle. This can be determined by calculating the hormone change rate. This rate is obtained by comparing the growth of hormone levels and the amplitude of body temperature fluctuations in the same time period. If the rate of increase in hormone levels is highly correlated with the amplitude of body temperature fluctuations, it can be confirmed that this time period is the critical period for breeding. Through analysis and calculation, the hormone change rate value is obtained, which is an important basis for selecting the breeding time window.

[0030] S313: Call the body temperature fluctuation amplitude value and the hormone change rate value, analyze the behavior activity degree, judge the matching degree of physiological data and behavior data, screen the time window, and obtain the breeding time node of the breeding animal; Analyzing the behavior activity degree in this time interval involves monitoring the activity of the breeding animal, including walking, foraging, and social behavior, etc. The data collected by the behavior perception sensor is analyzed to determine whether the behavior activity degree matches the physiological data (body temperature and hormone level). The matching degree can be determined by a data model. The model compares the physiological data and the behavior data to evaluate their correlation, thereby screening the time window where the behavior is active and the physiological indicators meet the breeding conditions, helping the veterinarian determine the best breeding time, and finally obtaining the breeding time node of the breeding animal. The node is obtained through a series of data analysis and calculation, providing a scientific basis for the reproductive management of the breeding animal.

[0031] Please refer to Figure 5 The acquisition steps of the breeding behavior analysis record are as follows: S411: Based on the breeding time node of the breeding animal, extract the video stream data of the breeding behavior perception device, calculate the angle change amount of the mating posture and the contact point offset value, and obtain the mating posture change parameter; First, set the breeding time node of the breeding animal as the starting point of data collection, and monitor and record the activity data of the breeding animal in real time through the perception device installed in the scene. In this process, the data of each time slice includes the position, posture and other key information of the breeding animal, which will be used to analyze the behavior pattern of the breeding animal and provide a basis for the judgment of breeding behavior. For example, set a specific scene, during the morning of 7:00 to 8:00 of the breeding of the breeding animal, the data captured by the video monitoring shows that the movement amplitude of a cow gradually increases during this period, and the significant change occurs from 7:30 to 7:45. At this time, the monitoring device records detailed posture change data, which is used later to calculate the angle change amount of the mating posture and the contact point offset value of the breeding animal, and the calculation result forms the mating posture change parameter, providing quantitative data support for further analysis.

[0032] S412: Call the mating posture change parameter, extract the key time points within the mating action duration, analyze the posture change rate and contact point offset trend, and use the formula: ; Calculate the mating action integrity measure value to obtain the mating action integrity feature; Wherein, represents the mating action integrity measure value, represents the total number of time slices, represents the posture angle change amount of the kth time slice, represents the kth time slice, a posture angle change amount of the time segment, a body contact point offset value representing the kth time segment, a body contact point offset value representing the kth time segment, a body contact point offset value representing the kth time segment; The duration of the mating action is analyzed to determine the key time point in the mating process. The mating posture of the breeding animal changes in different time segments, and the change mainly includes adjustment of the posture angle and movement trend of the body contact point. The calculation of the parameters needs to be quantified through the data of the continuous time segments, for example, the posture angle and the contact point offset value are recorded once every second, and the calculation is performed within a set time window. In an actual application scenario, assuming that the mating behavior duration of a certain cow is 10 minutes, the data is collected once every second, a total of 600 time segments, for a 5-second analysis window (i.e. ), the mating posture angle change amount and the contact point offset value of the cow are recorded as follows: ; ; First, the first item, the posture angle change rate, is calculated: ; ; Then, the second item, the contact point offset trend, is calculated: ; ; Finally, the value of is calculated: ; The calculation result represents the mating action integrity measurement value in the time window, i.e. the smoothness of the posture adjustment and the stability of the contact point offset in the mating process. Assuming that the reference interval of the mating action integrity measurement value is , the integrity measurement value of this mating action falls within the acceptable range, so the behavior can be judged to meet the integrity standard, and the mating action integrity feature is obtained for further mating behavior analysis.

[0033] S413: Based on the mating action integrity feature, the behavior data meeting the integrity standard is screened, and it is judged whether the mating behavior meets the expected mode, and a mating behavior analysis record is obtained; All mating behavior data are comprehensively screened, mainly by setting a threshold to judge whether the mating behavior meets the expected pattern. This threshold is set according to the statistical distribution of mating action integrity measurement value, to ensure that only those behavior data that reach or exceed this threshold are considered successful mating behavior, for example, if the threshold of mating action integrity measurement value is set to 0.8 (based on the average value obtained from historical data analysis), only when the monitored data shows that the integrity measurement value of mating behavior is greater than or equal to 0.8, this behavior is considered to meet the standard, in this way, the screened data is finally included in the mating behavior analysis record, which reflects the quality and effect of various animal mating behaviors in detail, and provides accurate data support for veterinarians and farm managers to optimize future mating plans.

[0034] Please refer to Figure 6 The acquisition step of the breeding animal mating execution log is specifically: S511: Based on the mating behavior analysis record, extract body temperature, hormone level, action timing and mating completion degree data, analyze body temperature change and hormone fluctuation data, record action timing, mating duration and completion degree, and obtain physiological change state matching value; First, specific indicators of mating behavior need to be defined, such as body temperature, hormone level, action timing and mating completion degree. Data extraction needs to be monitored in real time through sensors and recording equipment, such as body temperature sensors and video analysis, body temperature and hormone data are transmitted to the database in real time, action timing is analyzed through video recognition technology to identify animal activity patterns, for example, a specific embodiment can be to install body temperature and hormone monitoring equipment in the mating field, monitor the physiological changes of each cow, and record the mating behavior of animals through video monitoring, preliminary analysis of data through special software, then calculate the body temperature change rate, hormone fluctuation amplitude and action timing deviation value, to establish the correlation matrix between physiological change state and mating success rate, and finally obtain the physiological change state matching value.

[0035] S512: Call the physiological change state matching value, combine the body temperature change rate and the hormone fluctuation amplitude, calculate the effective mating data screening factor, using the formula: ; Screen mating data that meet the matching conditions to obtain the effective mating data set; The physiological change state matching value reflecting the degree of coincidence between the data of body temperature, hormone level, action timing and mating completion degree in the mating event and the optimal mating condition of the breeding animal is called, for example, the physiological change state matching value of a beef cow in a mating attempt is 88, indicating that its physiological indicators are highly consistent with successful mating, the value range is set to 0-100, higher than 80 is determined as high matching degree, 60-80 is determined as medium matching degree, and lower than 60 is determined as low matching degree, and the corresponding body temperature change rate and hormone fluctuation amplitude data are obtained, which also come from the analysis results of S511 step, for example, the body temperature change rate of the beef cow during mating is 0.18 degrees Celsius / hour, and the hormone fluctuation amplitude is 10 ng / ml, when the body temperature change rate and the hormone fluctuation amplitude are combined, first, the body temperature change rate and the hormone fluctuation amplitude are evaluated to determine their influence on successful mating, and then the effective mating data screening factor is calculated, which is obtained by comprehensively considering the physiological change state matching value, the body temperature change rate stability score and the hormone fluctuation amplitude stability score, the calculation of the body temperature change rate stability score is based on the comparison of the preset body temperature stability threshold, if the body temperature change rate is less than or equal to 0.2 degrees Celsius / hour, it is determined that the body temperature fluctuation is low, and a stability score of 0.9 is given; if the body temperature change rate is between 0.2 degrees Celsius / hour and 0.5 degrees Celsius / hour, it is determined that the body temperature fluctuation is medium, and a stability score of 0.5 is given; if the body temperature change rate is greater than 0.5 degrees Celsius / hour, it is determined that the body temperature fluctuation is high, and a stability score of 0.1 is given, for the body temperature change rate of 0.18 degrees Celsius / hour, the body temperature stability score is 0.9, the calculation of the hormone fluctuation amplitude stability score is based on the comparison of the preset hormone stability threshold, if the hormone fluctuation amplitude is less than or equal to 15 ng / ml, it is determined that the hormone fluctuation is low, and a stability score of 0.8 is given; if the hormone fluctuation amplitude is between 15 ng / ml and 30 ng / ml, it is determined that the hormone fluctuation is medium, and a stability score of 0.4 is given; if the hormone fluctuation amplitude is greater than 30 ng / ml, it is determined that the hormone fluctuation is high, and a stability score of 0.1 is given, for the hormone fluctuation amplitude of 10 ng / ml, the hormone stability score is 0.8, the calculation method of the effective mating data screening factor is: the physiological change state matching value divided by 100, then multiplied by the weight 0.6, plus the body temperature change rate stability score multiplied by the weight 0.2, and then plus the hormone fluctuation amplitude stability score multiplied by the weight 0.2, wherein the weights 0.6, 0.2 and 0.2 are set according to the experience of veterinary experts and historical mating data analysis, and the weights reflect the influence of each indicator on successful mating, for example, for a mating event with a physiological change state matching value of 88, a body temperature stability score of 0.9 and a hormone stability score of 0.8, the screening factor is calculated as: (88 / 100 x 0.6) + (0.9 x 0.2) + (0.8 x 0.2) = 0.528 + 0.18 + 0.16 = 0.868, when screening the matching mating data, the effective mating data screening factor obtained by calculation is compared with the preset screening reference value, and the screening reference value is set to 0.75, based on the average screening factor of a large number of successful mating cases and combined with expert advice, if the effective mating data screening factor is greater than or equal to 0.75, the mating data is determined to meet the matching conditions and is selected, for example, the screening factor 0.868 is greater than 0.75, so the mating data is screened and retained, and the effective mating data set is obtained.

[0036] The formula used is: Wherein, represents the effective mating data screening factor, and represent the body temperature change value before and after mating, and represent the hormone level before and after mating, represents the mating time sequence deviation value, represents the number of record time items, represents the mating completion degree reference value. The principle of obtaining the effective mating data screening factor is to calculate the matched effective mating data set, and the Q value in the formula represents the effective mating data screening factor. When calculating by formula, factors to be considered include L1 and L2, which represent the body temperature change before and after mating, G1 and G2 represent the hormone level before and after mating, D1 and D2 represent the sequence deviation value at mating, and m represents the sequence difference value of the recording time, and F represents the mating completion degree reference value. According to the factors, the effective mating data is obtained by screening the data set that meets the mating conditions, so as to optimize the mating effect.

[0037] The effective mating data screening factor is calculated, and the calculation of this factor involves multiple parameters, each of which needs to be obtained through actual monitoring, laboratory analysis or data calculation, for example, the body temperature change rate can be determined by an infrared temperature sensor to measure the body temperature before and after mating, and the difference between the two is calculated, the hormone fluctuation amplitude needs to be detected by blood sample to detect the estrogen or progesterone level, and the difference between the two measurement results is calculated, and the action time sequence deviation value needs to be captured by a camera and the time error of the key behavior nodes in the mating process is calculated. Set a specific case, in a certain mating process, it is monitored that: Body temperature change value: before mating , after mating , the body temperature change is ; Hormone level: before mating , after mating , the hormone fluctuation is ; Action time sequence deviation value: in the mating behavior monitoring, the key action nodes are recorded, and the time deviation of each node is (such as stallion climbing, penis insertion, duration, etc.) 2 seconds, so: ; The mating completion degree benchmark value: the value is the average completion degree threshold value based on a large amount of historical data; Substitute the above value into the formula: ; The effective mating data screening factor is obtained, which represents the matching degree of the mating data. The lower the value, the more stable the physiological changes, the more standardized the mating action, and the higher the completion degree, indicating a higher mating success rate. Therefore, a screening threshold is set. For example, experience data shows that when , the data can be considered as effective mating data, and when , there is a large physiological fluctuation or incomplete mating, so it should be excluded. This calculation provides a scientific screening method to ensure that the screened mating data is more accurate, thereby improving the overall mating success rate.

[0038] S513: Call the effective mating data set, record the mating data in the mating period, store it in the time axis, and get the breeding stock mating execution log; The mating expert can record the key data in the mating period, which includes body temperature, hormone level and mating completion degree. The storage of data needs to be carried out in time axis in order to facilitate subsequent data analysis and review. For example, in a typical mating period recording embodiment, mating data is used to analyze the reproductive health status of breeding stock and predict its future mating success rate. The information will be integrated into the breeding stock mating execution log and provided to the farm manager and veterinarian to make more scientific decisions. The whole process not only needs efficient data collection equipment, but also needs powerful background analysis to process and store a large amount of data.

[0039] The veterinarian mating electronic recording system is used to execute the veterinarian mating electronic recording method described above, and the system comprises: The environment monitoring module extracts the temperature and humidity sensor data stream based on the breeding stock mating site data, including the temperature, humidity, light intensity and air pressure of the mating site, identifies the fluctuation range of environmental parameters, selects the stable interval, and obtains the environmental stability trend of the mating site; The breeding stock physiological monitoring module extracts the body temperature, hormone level, heartbeat frequency and breathing frequency of the veterinarian mating monitoring based on the environmental stability trend of the mating site, selects the physiological state of mating tendency, and obtains the physiological change state of the breeding stock; The mating opportunity determination module extracts the breeding stock body temperature data, hormone level change and behavior activity based on the physiological change state of the breeding stock, selects the time window of body temperature rise and hormone level fluctuation peak, analyzes the matching degree of body temperature, hormone level and behavior characteristics, selects the time node meeting the mating tendency, and obtains the breeding stock mating time node; The mating behavior analysis module extracts video stream data of the mating behavior sensing device based on the time node of the mating of the breeding animal, analyzes the mating posture and mating action duration, screens the behavior data meeting the standard, and obtains mating behavior analysis records; The mating log management module extracts the physiological change state in the same time period based on the mating behavior analysis records, analyzes the data matching of the body temperature, hormone level, action time sequence and mating completion degree, screens the effective mating data, and obtains the mating execution log of the breeding animal.

[0040] The above is only a preferred embodiment of the present application, and does not limit the present application in other forms. Any person skilled in the art can use the disclosed technical content to make changes or modifications as equivalent embodiments applied to other fields, but any simple modification, equivalent change and modification made on the basis of the technical essence of the present application to the above embodiments without departing from the technical solution content of the present application still belongs to the protection scope of the technical solution of the present application.

Claims

1. A method of veterinary breeding electronic recordation, characterized in that, The method comprises the following steps: S1: based on the data of the breeding site, collecting the data stream of the temperature and humidity sensor arranged in different positions, detecting the data fluctuation range, screening the stable interval in the continuous time period, analyzing the fluctuation of environmental factors, and obtaining the environmental stability trend of the breeding site; S2: based on the environmental stability trend of the breeding site, extracting the data of the body temperature monitoring device of the breeding animal, detecting the data change in the time interval, analyzing the fluctuation correlation between the different data, screening the physiological state of the breeding tendency, and obtaining the physiological change state of the breeding animal; S3: based on the physiological change state of the breeding animal, analyzing the body temperature monitoring data and the behavior characteristic change of the breeding behavior perception, screening the body temperature fluctuation, hormone level rise and behavior active interval at the key time point, judging the matching degree of physiological data and behavior data, screening the time window meeting the breeding condition, and obtaining the breeding time node of the breeding animal; S4: based on the breeding time node of the breeding animal, identifying the behavior characteristics of mating posture and breeding action duration, analyzing the integrity of the behavior action, judging whether the breeding behavior meets the expected mode, screening the behavior data meeting the standard, and obtaining the breeding behavior analysis record.

2. The veterinary breeding electronic recording method according to claim 1, characterized in that: The environmental stability trend of the breeding site includes the temperature stability range, the humidity stability range, the light intensity stability range and the air pressure stability range. The physiological change state of the breeding animal includes the body temperature change characteristic, the hormone level change characteristic, the heart rate change characteristic and the respiration rate change characteristic. The breeding time node of the breeding animal includes the body temperature fluctuation point, the hormone level peak value, the behavior active period and the matching time window. The breeding behavior analysis record includes the mating posture characteristic, the breeding action characteristic, the behavior integrity characteristic and the mode matching characteristic.

3. The method of claim 1, wherein the method further comprises: The acquisition step of the environmental stability trend of the breeding site is specifically: S111: based on the data of the breeding site, collecting the temperature, humidity, light intensity and air pressure information, extracting the data stream of the temperature and humidity sensor in different positions, comparing the temperature and humidity data, screening the data fluctuation range, and obtaining the temperature and humidity sensor data fluctuation value; S112: calling the temperature and humidity sensor data fluctuation value, screening the interval with small fluctuation amplitude in the continuous time period, analyzing the change trend of the temperature and humidity data in the interval, and calculating the stable interval temperature and humidity change rate; S113: based on the stable interval temperature and humidity change rate, combining the light intensity and air pressure data, analyzing the fluctuation of environmental factors, and analyzing the fluctuation trend of the different time periods, and obtaining the environmental stability trend of the breeding site.

4. The method of claim 3, wherein, The acquisition step of the physiological change state of the breeding animal is specifically: S211: based on the environmental stability trend of the breeding site, extracting the body temperature, hormone level, heart rate and respiration rate data of the breeding animal, detecting the data change in the specified time interval, identifying the time change rate of each physiological parameter, performing physiological parameter screening according to the fluctuation degree of the change rate, and obtaining the physiological parameter fluctuation data; S212: calling the physiological parameter fluctuation data, analyzing the change trend correlation between the different parameters, using the formula: ； ​ wherein, a coefficient representative of the correlation between the pairs of physiological parameters, an observation representative of the a-th physiological parameter, an observation representative of the b-th physiological parameter, a mean value representative of the a-th physiological parameter, a mean value representative of the b-th physiological parameter, denotes the total number of physiological parameters; S213: Based on the parameter correlation analysis result, the offset amplitude ratio is identified, the fluctuation amplitude difference of the differentiated time interval is combined, the physiological parameter combination showing a key change trend under the breeding tendency condition is screened, and a breeding physiological change state is obtained.

5. The method of claim 4, wherein, The acquisition step of the breeding time node of the breeding stock is specifically: S311: Based on the breeding physiological change state, the breeding stock body temperature monitoring data and time sequence are extracted, the body temperature fluctuation amplitude is identified, the body temperature rising stage meeting the physiological change is screened, and the formula: ； The body temperature fluctuation amplitude value is obtained; wherein, a representative body temperature fluctuation amplitude value, a representative body temperature at a first time, a representative body temperature at a second time, a representative body temperature at a third time, a representative body temperature at a fourth time, a representative body temperature change reference total amplitude within a body temperature change period, a representative basal body temperature of the individual; S312: Based on the body temperature fluctuation amplitude value, the hormone level rising time interval is screened, the time sequence data is called, and the hormone change rate value is obtained; S313: The body temperature fluctuation amplitude value and the hormone change rate value are called, the behavior activity degree is analyzed, the matching degree of physiological data and behavior data is judged, the time window is screened, and the breeding time node of the breeding stock is obtained.

6. The method of claim 5, wherein, The acquisition step of the breeding behavior analysis record is specifically: S411: Based on the breeding time node of the breeding stock, the video stream data of the breeding behavior perception device is extracted, the angle change amount and the contact point offset value of the mating posture are calculated, and the mating posture change parameter is obtained; S412: The mating posture change parameter is called, the key time point in the breeding action duration is extracted, the posture change rate and the contact point offset trend are analyzed, and the formula: ； The breeding action integrity measurement value is calculated, and the breeding action integrity feature is obtained; wherein, represents a value of a metric of integrity of a mating action, represents a total number of time segments, represents a change in angle of posture for the kth time segment, represents a change in angle of posture for the kth time segment, represents a change in angle of posture for the kth time segment, represents a body contact point offset value for the kth time segment, represents a body contact point offset value for the kth time segment, represents a body contact point offset value for the kth time segment. S413: Based on the breeding action integrity feature, the behavior data meeting the integrity standard is screened, it is judged whether the breeding behavior meets the expected mode, and the breeding behavior analysis record is obtained.

7. The method of claim 1, wherein the method further comprises: The method further comprises the S5 step: S5: Based on the breeding behavior analysis record, the physiological change state of the differentiated time period is identified, the body temperature, hormone level, action time sequence and mating completion degree in the breeding process are analyzed, the effective breeding data is screened, the key data of the breeding cycle is stored, and a breeding execution log of the breeding stock is obtained; The breeding execution log of the breeding stock comprises effective breeding data, breeding process physiological data, breeding cycle data and mating completion degree data.

8. The method of claim 7, wherein the method further comprises: The acquisition step of the breeding execution log of the breeding stock is specifically: S511: Based on the breeding behavior analysis record, the body temperature, hormone level, action time sequence and mating completion degree data are extracted, the body temperature change and hormone fluctuation data are analyzed, the action time sequence, mating duration and completion degree are recorded, and the physiological change state matching value is obtained; S512: The physiological change state matching value is called, the body temperature change rate and the hormone fluctuation amplitude are combined, the effective breeding data screening factor is calculated, the breeding data meeting the matching condition is screened, and an effective breeding data set is obtained; S513: The effective breeding data set is called, the mating data in the breeding cycle is recorded, and the breeding execution log of the breeding stock is obtained.

9. A veterinary breeding electronic record system, characterized by, The veterinary breeding electronic record method according to any one of claims 1-8, the system comprises: The environment monitoring module extracts the temperature, humidity, light intensity and air pressure of the breeding site, identifies the fluctuation range of the environmental parameters, screens the stable interval, and obtains the environmental stability trend of the breeding site based on the breeding site data of the breeding stock; The stud physiological monitoring module extracts the body temperature, hormone level, heartbeat frequency, and respiration frequency of the veterinarian breeding monitoring based on the breeding site environment stability trend, screens the physiological state of the breeding tendency, and obtains the physiological change state of the stud; The breeding opportunity determination module extracts the stud body temperature data, hormone level change, and behavior activity level based on the physiological change state of the stud, screens the time window of the body temperature rise and the peak value of the hormone level fluctuation, analyzes the matching degree of the body temperature, hormone level, and behavior characteristics, screens the time node meeting the breeding tendency, and obtains the stud breeding time node; The breeding behavior analysis module extracts the video stream data of the breeding behavior perception device based on the stud breeding time node, analyzes the mating posture and breeding action duration, screens the behavior data meeting the standard, and obtains the breeding behavior analysis record; The breeding log management module extracts the physiological change state in the same time period based on the breeding behavior analysis record, analyzes the data matching of the body temperature, hormone level, action timing, and mating completion degree, screens the effective breeding data, and obtains the stud breeding execution log.

Images