Animal breeding screening method and system based on digital traditional Chinese medicine pulse diagnosis

By establishing an analysis set of pulse abnormality identification models and health assessment coefficients, combined with the monitoring strategy of random selection of time, the misjudgment problems caused by physiological reactions in digital traditional Chinese medicine pulse diagnosis breeding screening are solved, and more accurate identification of health risks and breeding screening are achieved.

CN119833081APending Publication Date: 2025-04-15NORTHWEST A & F UNIV +3
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411889983.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2024-07-16
Filing Date
2024-12-20
Publication Date
2025-04-15

AI Technical Summary

Technical Problem

The prior art cannot effectively eliminate the impact caused by animal physiological reactions in animal breeding screening based on digital traditional Chinese medicine pulse diagnosis, resulting in low efficiency of misjudgment and breeding screening.

Method used

By establishing a pulse abnormality recognition model, female and male animals with health risks are identified, and through continuous pulse characteristics monitoring and re-evaluation, the monitoring strategy randomly selected by health assessment coefficients and time is used to reduce misjudgment.

Benefits of technology

Effectively identify female and male species that have real health risks, reduce misjudgments caused by physiological reactions, ensure that healthy animals but are affected by temporary situations are not mistakenly eliminated, and at the same time ensure that animals that have real health problems can be accurately identified and screened.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119833081A_ABST
    Figure CN119833081A_ABST
Patent Text Reader

Abstract

The invention discloses an animal breeding screening method and system based on digital traditional Chinese medicine pulse diagnosis, and relates to the technical field of animal breeding and breeding (breeding) screening, and the method comprises the following steps: building an animal physical sign digital gene bank, building a physical genetic digital gene identification model through an animal physical sign data large model, and establishing a physical genetic digital gene identification model; according to the method, female animals and male animals with corresponding excellent genetic genes are effectively identified according to breeding cultivation indexes, so that through continuous monitoring and re-evaluation, on one hand, a stable genetic gene variety can be formed, and on the other hand, female animals and male animals which temporarily have health problem markers due to short-term physiological reaction can be effectively identified; by means of the method, misjudgment caused by physiological reactions and other short-term signs is greatly reduced, it is guaranteed that female animals and male animals which have excellent physical genetic genes but are affected by temporary conditions are not mistakenly eliminated, and meanwhile it is guaranteed that female animals and male animals which really have physical genes and have defects can be accurately recognized and screened out.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of animal breeding and seed production (propagation), and in particular to an animal breeding screening method and system based on digital traditional Chinese medicine pulse diagnosis. Background Art

[0002] Digital TCM pulse diagnosis is a new method that combines traditional TCM pulse theory with modern digital technology, and is mainly used to diagnose and evaluate human health. In the field of animal breeding, the application of this technology is mainly through digital analysis of the animal's pulse to evaluate its physiological and genetic health. Specifically, digital TCM pulse diagnosis uses sensors and data analysis technology to capture and analyze the pulse fluctuations of animals, thereby obtaining the health information of animals, which can be used to guide the selection and reproduction of animals.

[0003] Animal breeding screening based on digital Chinese medicine pulse diagnosis includes:

[0004] The pulse data of breeding females and breeding males are collected, and the harmonic data of the twelve meridians are generated through the theory of qi and blood resonance and the harmonic algorithm. The collected pulse data is preprocessed, and the nine physical constitution trends are identified through the data of Yin deficiency and Yang deficiency of the twelve meridians. A gene library for digital identification of animal constitution is established, and a digital engineering of animal constitution genetics is established through a large model of animal constitution data. The collected animal constitution indicators correspond to animal breeding indicators, and high-quality female animals and breeding male animals are selected for breeding, so as to continuously strengthen the genes of offspring in this way. Based on the accurate physical signs and epidemic disease monitoring of environmental factors, stable convergent health symptoms are formed to reduce factors affected by the environment, feeding and short-term effects. According to the direction and indicators of animal breeding, such as fattening, no antibiotics, meat shape, disease resistance, etc., the corresponding constitution is selected for breeding and breeding.

[0005] In order to obtain animal health information, a digital gene bank of animal physical signs is usually established. The digital gene bank of animal physical signs means creating a comprehensive, high-dimensional genetic information database by collecting and analyzing large-scale animal physical sign data. This database not only contains traditional genetic markers, such as DNA sequences, but also extends to a wider range of physiological and phenotypic characteristics, including body weight, growth rate, reproductive performance, and resistance to disease. Through advanced data analysis technology and machine learning models, these physical sign data are converted into digital gene models that can describe the genetic potential of animals. This model can predict and explain the impact of genetic variation on animal phenotypes, thereby guiding scientific breeding decisions, optimizing the management of genetic resources, and improving the overall quality and economic value of the population.

[0006] In animal breeding screening, the use of digital TCM pulse diagnosis technology can optimize the breeding process. Traditional breeding methods mainly rely on phenotypic characteristics and genetic history for selection, while digital TCM pulse diagnosis provides a more scientific and accurate screening method. By analyzing the specific characteristics of the animal's pulse, such as the speed, rhythm and strength of the pulse, researchers can assess the animal's physiological state, including its physical strength and possible genetic problems. This method can not only improve the success rate of breeding, but also help avoid the spread of genetic diseases, thereby producing healthier and higher-quality offspring. The application of this technology has promoted the advancement of animal breeding technology and made breeding more efficient and systematic.

[0007] Through digital markers based on physical constitution, the five-in-one monitoring of "physique, pregnancy, pregnancy, birth, and feeding" is carried out, including estrus warning, pregnancy diagnosis, pregnancy monitoring, calving protection, and feeding health. Based on the big data analysis of physical signs and physical constitution of livestock and poultry breeding traits, a public set of genetic information on physical signs is established, and at the same time, a theoretical and technical system of "animal digital brain" for intelligent breeding is established. The present invention is the first to propose a unified pipeline processing framework for multi-source heterogeneous animal data, realizing the integration of digital collection, calculation, transmission, and presentation of animal information resources, and supporting the development of animal information image from digitization and informatization to intelligence and industrialization.

[0008] Through the full-process monitoring system based on physical digital marking, the management and breeding efficiency of the breeding industry can be significantly improved. First, the estrus warning function monitors the physiological and behavioral data of animals to timely identify the best time point of the estrus cycle, thereby optimizing the timing of breeding or artificial insemination. Next, pregnancy diagnosis uses biomarkers and physical sign changes to quickly and accurately confirm the pregnancy status, reduce unnecessary re-breeding and reduce resource waste. Pregnancy monitoring continuously tracks the health status of the mother and fetus, promptly discovers and handles possible pregnancy problems, and ensures the health of the mother and fetus. Calving guard predicts the time of delivery and provides intervention when necessary by analyzing physical sign data before and after delivery to reduce risks during delivery and increase survival rates. Finally, the nursing health monitoring function focuses on the nutritional absorption and health status of the mother and the cub during lactation to ensure that the cub can get adequate nutrition and grow smoothly. Overall, this five-in-one monitoring system of "physical, estrus, pregnancy, delivery, and nursing" significantly improves reproductive efficiency and animal welfare through precise data analysis and timely management intervention, and promotes the breeding industry to move towards intelligent and refined management.

[0009] When breeding and screening of female and male animals based on digital TCM pulse diagnosis, if the female and male animals' own physical signs show physiological reactions such as stress and emotional tension, it will have a serious impact on the screening accuracy of the female and male animals. This is because the emotional state of the animal will directly affect its physiological function and pulse characteristics, and the digital TCM pulse diagnosis system relies on these physiological characteristics to assess the health status and genetic characteristics of the animal. Therefore, when the female and male animals are under stress or emotional tension, their pulse characteristics may change, thus affecting the screening accuracy of the pulse diagnosis system.

[0010] When the existing technology uses digital Chinese medicine pulse diagnosis to screen breeding females and males, it is unable to effectively eliminate the impact of the physiological reactions of the breeding females and males. It is often easy to mistakenly identify the breeding females and males with physiological reactions as substandard breeding females and males, thus failing to perform efficient breeding screening on the breeding females and males.

[0011] For example, stress and emotional tension can cause changes in the physiological functions of breeding females and breeding males, such as increased heart rate, deeper breathing, and higher blood pressure. These physiological changes will directly affect the pulse characteristics, causing changes in the frequency, rhythm, and intensity of the pulse. Such changes will interfere with the digital Chinese medicine pulse diagnosis system's recognition and analysis of pulse characteristics, thereby reducing the ability to accurately assess the health status and genetic characteristics of breeding females and breeding males.

[0012] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0013] The purpose of the present invention is to provide an animal breeding screening method and system based on digital Chinese medicine pulse diagnosis. By establishing a pulse abnormality recognition model, it is possible to effectively identify breeding female animals and breeding male animals with truly excellent health and those with health risks. By continuously monitoring and re-evaluating the pulse characteristics of breeding female animals and breeding male animals marked as having excellent health and those with health risks, in particular, by establishing an analysis set of health assessment coefficients and a monitoring strategy based on random selection over time, it is possible to effectively identify breeding female animals and breeding male animals with temporary health problem marks due to short-term physiological reactions, thereby greatly reducing misjudgments caused by physiological reactions, ensuring that healthy breeding female animals and breeding male animals affected by temporary circumstances are not mistakenly eliminated, and at the same time ensuring that breeding female animals and breeding male animals with real health problems can be accurately identified and screened out, so as to solve the problems in the above-mentioned background technology.

[0014] In order to achieve the above object, the present invention provides the following technical solution: an animal breeding screening method based on digital Chinese medicine pulse diagnosis, comprising the following steps:

[0015] Collecting pulse data of breeding female animals and breeding male animals, and pre-processing the collected pulse data;

[0016] After the pulse data is collected, the pulse features are extracted and analyzed using digital technology. A pulse abnormality recognition model is established based on the pulse features after abnormal analysis and processing to identify breeding females and breeding males with health risks.

[0017] After identifying the breeding females and breeding males with health risks, continue to monitor the pulse characteristics of the breeding females and breeding males in real time, preliminarily determine whether the breeding females and breeding males with health risks are affected by physiological reactions, and screen out the breeding females and breeding males with physiological reactions;

[0018] For the breeding females and breeding males that are initially judged not to have physiological reactions, the monitoring time is extended, and the breeding females and breeding males that are affected by physiological reactions are screened out again to ensure that the breeding females and breeding males that are affected by physiological reactions are not mistakenly identified as breeding females and breeding males that do not meet the standards.

[0019] Preferably, a pulse abnormality recognition model is established based on the pulse characteristics after abnormal analysis and processing to identify breeding female animals and breeding male animals with health risks. The specific steps are as follows:

[0020] Divide the breeding selection process of breeding females and breeding males into several equal time periods, ensuring that the duration of each time period is equal;

[0021] In each time period, the pre-processed pulse data is subjected to feature extraction using digital technology to extract pulse features related to the health status of breeding female animals and breeding male animals, wherein the pulse features related to the health status of breeding female animals and breeding male animals include pulse frequency and pulse morphology. After abnormal processing and analysis of the pulse frequency and pulse morphology, a pulse rhythm disorder index and a pulse amplitude instability index are generated;

[0022] Based on the pulse rhythm disorder index and pulse amplitude instability index generated after abnormal processing analysis, a pulse abnormality recognition model is established to generate a health risk assessment coefficient, and the health of breeding females and breeding males is intelligently assessed through the health risk assessment coefficient;

[0023] The health hazard assessment coefficient generated based on the abnormal pulse recognition model is compared and analyzed with the pre-set health hazard assessment coefficient reference threshold to identify breeding female and male animals with health hazards.

[0024] Preferably, the logic of obtaining the pulse rhythm disorder index is as follows:

[0025] In each time period, the pulse frequency information of the female and male breeding animals collected is arranged in chronological order to form time series data, which is represented by the function x(t), where t represents time;

[0026] Perform discrete Fourier transform on the pulse frequency time series x(t) to convert it into the frequency domain. The formula of discrete Fourier transform is: Where X(f) is the complex number at frequency f, N is the length of the time series, and x(t) is the sample value at time t;

[0027] Calculate the square of the modulus of the discrete Fourier transform result to obtain the power spectrum density in the frequency domain, which is used to represent the energy distribution of the signal at different frequencies. The formula for power spectrum density is: S(f) = |X(f)| 2 , |X(f)| represents the modulus of the discrete Fourier transform of the pulse frequency time series x(t), and S(f) represents the power spectral density at frequency f;

[0028] Anomaly detection is performed on the power spectrum density to identify frequency components with abnormal energy distribution in the frequency domain, wherein the frequency components with abnormal energy distribution in the frequency domain are specifically identified as:

[0029] The power spectrum density of the frequency component is compared and analyzed with a preset power spectrum density reference threshold. If the power spectrum density is greater than the power spectrum density reference threshold, the frequency is marked as an abnormal frequency.

[0030] Calculate the pulse rhythm disorder index, the calculation expression is: Among them, F 异常 is the set of frequency components of abnormal energy distribution, F is the set of all frequency components, Rhy α It represents the pulse rhythm disorder index.

[0031] Preferably, the logic of obtaining the pulse wave amplitude instability index is as follows:

[0032] In each time period, the pulse morphology information of the breeding female and breeding male animals is obtained and represented as time series data X = {x1, x2, x3, ..., x n}, where n is the length of the time series;

[0033] Select a reference pulse waveform Y = {y1, y2, y3, ..., y n};

[0034] The cosine similarity formula is used to calculate the similarity between the reference pulse waveform Y and the pulse shape X in each time period. The cosine similarity formula is: Among them, x i and i Respectively represent the amplitude values ​​of pulse morphology X and reference pulse waveform Y at the i-th moment;

[0035] Calculate the pulse wave amplitude instability index. The calculation expression is: Wave β =Cos·e Cos+1 , where Wave β Indicates the pulse wave amplitude instability index.

[0036] Preferably, the health hazard assessment coefficient generated based on the abnormal pulse recognition model is compared and analyzed with a pre-set health hazard assessment coefficient reference threshold. If the health hazard assessment coefficient is greater than or equal to the health hazard assessment coefficient reference threshold, the corresponding breeding female animals and breeding male animals are marked, indicating that the breeding female animals and breeding male animals have health hazards.

[0037] Preferably, after identifying the breeding females and breeding males with health hazards, that is, for the marked breeding females and breeding males, a number of health hazard assessment coefficients generated during the pulse characteristic monitoring of the breeding females and breeding males are continuously obtained to establish an analysis set, and after comparing and analyzing the health hazard assessment coefficients in the analysis set with a preset health hazard assessment coefficient reference threshold, the health hazard assessment coefficient greater than the health hazard assessment coefficient reference threshold is recalibrated as ξ Halv , through the health hazard assessment coefficient ξ Halv The comprehensive health hazard coefficient is calculated by using the health hazard assessment coefficient reference threshold. The calculation expression is: In the formula, ξ 综合 represents the comprehensive health hazard coefficient, m represents the total number of health hazard assessment coefficients in the analysis set that are greater than the reference threshold of the health hazard assessment coefficient, and M represents the total number of health hazard assessment coefficients in the analysis set.

[0038] Preferably, the comprehensive health hazard coefficient is compared and analyzed with a pre-set comprehensive health hazard coefficient reference threshold. If the comprehensive health hazard coefficient is less than the comprehensive health hazard coefficient reference threshold, the marked female and male breeding animals are screened out, and these female and male breeding animals are identified as female and male breeding animals that have been judged to have health hazards due to physiological reactions. If the comprehensive health hazard coefficient is greater than or equal to the comprehensive health hazard coefficient reference threshold, the markings of the female and male breeding animals are retained, and these female and male breeding animals are preliminarily identified as female and male breeding animals that have not been judged to have health hazards due to physiological reactions.

[0039] Preferably, the monitoring time of the breeding females and breeding males that are initially judged to have no physiological reactions is extended. In this case, a time period can be randomly selected from each day. This can effectively avoid the breeding females and breeding males from having continuous physiological reactions throughout the day. Randomly selecting a time period from each day can effectively avoid this situation, and the health hazard assessment coefficients of the corresponding time periods are collected to establish an analysis set. The mean and standard deviation of the health hazard assessment coefficients are calculated by analyzing the health hazard assessment coefficients in the set.

[0040] Preferably, the mean value of the health hazard assessment coefficient and the standard deviation of the health hazard assessment coefficient are compared and analyzed with the pre-set health hazard assessment coefficient reference threshold value and the standard deviation reference threshold value, respectively; if the mean value of the health hazard assessment coefficient is less than the health hazard assessment coefficient reference threshold value and the standard deviation of the health hazard assessment coefficient is less than the standard deviation reference threshold value, the marked female and male breeding animals are screened out, and these female and male breeding animals are further identified as female and male breeding animals that are judged to have health hazards due to physiological reactions; if the mean value of the health hazard assessment coefficient is less than the health hazard assessment coefficient reference threshold value and the standard deviation of the health hazard assessment coefficient is less than the standard deviation reference threshold value, the markings of the female and male breeding animals are retained, and these female and male breeding animals are further identified as female and male breeding animals that are not judged to have health hazards due to physiological reactions.

[0041] An animal breeding screening system based on digital Chinese medicine pulse diagnosis comprises the following steps:

[0042] The pulse data collection module collects the pulse data of the breeding female animals and the breeding male animals, and pre-processes the collected pulse data;

[0043] The abnormality recognition module uses digital technology to extract pulse features and perform abnormality analysis after pulse data collection, and establishes a pulse abnormality recognition model based on the pulse features after abnormal analysis to identify breeding females and breeding males with health risks;

[0044] The preliminary screening module, after identifying the breeding females and breeding males with health risks, continues to monitor the pulse characteristics of the breeding females and breeding males in real time, preliminarily determines whether the breeding females and breeding males with health risks are affected by physiological reactions, and screens out the breeding females and breeding males with physiological reactions;

[0045] The deep screening module extends the monitoring time for the breeding females and breeding males that are initially judged to have no physiological reactions, and again screens out the breeding females and breeding males that are affected by physiological reactions, to ensure that the breeding females and breeding males that are affected by physiological reactions are not mistakenly identified as breeding females and breeding males that do not meet the standards.

[0046] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0047] The present invention divides the breeding and screening process of breeding female animals and breeding male animals into several equal time periods, and conducts detailed analysis and evaluation of the pulse data in each time period, thereby being able to more accurately capture the health status and physiological changes of breeding female animals and breeding male animals. In addition, by conducting a comprehensive analysis of the pulse frequency and pulse morphology, and generating a pulse rhythm disorder index and a pulse amplitude instability index, and then establishing a pulse abnormality recognition model, the breeding female animals and breeding male animals that actually have health risks can be effectively identified.

[0048] The present invention can effectively identify the female and male breeding animals with temporary health problem marks due to short-term physiological reactions by continuously monitoring and re-evaluating the pulse characteristics of the female and male breeding animals marked as having health risks, especially by establishing an analysis set of health risk assessment coefficients and a monitoring strategy based on random selection of time. This method of dynamic monitoring and real-time adjustment greatly reduces the misjudgment caused by physiological reactions, ensures that the female and male breeding animals that are healthy but affected by temporary conditions are not mistakenly eliminated, and ensures that the female and male breeding animals that really have health problems can be accurately identified and screened out, which not only enhances the scientificity and rationality of the breeding screening process, but also provides more accurate data support and decision-making basis for the health management of female and male breeding animals. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0050] Figure 1 The present invention is a flow chart of a method for animal breeding screening based on digital Chinese medicine pulse diagnosis.

[0051] Figure 2 The module schematic diagram of an animal breeding screening system based on digital Chinese medicine pulse diagnosis of the present invention. DETAILED DESCRIPTION

[0052] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of the present disclosure will be more comprehensive and complete, and the concept of the example embodiments will be fully conveyed to those skilled in the art.

[0053] The present invention provides Figure 1The animal breeding screening method based on digital Chinese medicine pulse diagnosis shown in the figure comprises the following steps:

[0054] Collecting pulse data of breeding female animals and breeding male animals, and pre-processing the collected pulse data;

[0055] Pulse data can be obtained through professional equipment such as a pulse meter or a digital acquisition system. Preprocessing includes steps such as data cleaning, outlier removal, and data normalization. Data cleaning aims to remove noise or interference that may be introduced during the acquisition process to ensure the quality and reliability of the data; outlier removal can eliminate abnormal conditions in the data, making the data more stable and reliable; data normalization is to scale the data according to certain standards so that data with different characteristics have similar scales. The role of preprocessing is to ensure the accuracy and consistency of the data.

[0056] After the pulse data is collected, the pulse features are extracted and analyzed using digital technology. A pulse abnormality recognition model is established based on the pulse features after abnormal analysis and processing to identify breeding females and breeding males with health risks.

[0057] Based on the pulse characteristics after abnormal analysis and processing, a pulse abnormality recognition model is established to identify breeding females and breeding males with health risks. The specific steps are as follows:

[0058] Divide the breeding selection process of breeding females and breeding males into several equal time periods, ensuring that the duration of each time period is equal;

[0059] The purpose of dividing the breeding and screening process of breeding female animals and breeding male animals into several equal time periods is to divide the breeding and screening process of breeding female animals and breeding male animals more finely and improve the accuracy of breeding and screening of breeding female animals and breeding male animals. The duration of each time period can be set according to actual conditions and is not specifically limited here. It can be a few minutes or more than ten minutes.

[0060] In each time period, the pre-processed pulse data is subjected to feature extraction using digital technology to extract pulse features related to the health status of breeding female animals and breeding male animals, wherein the pulse features related to the health status of breeding female animals and breeding male animals include pulse frequency and pulse morphology. After abnormal processing and analysis of the pulse frequency and pulse morphology, a pulse rhythm disorder index and a pulse amplitude instability index are generated;

[0061] Based on the pulse rhythm disorder index and pulse amplitude instability index generated after abnormal processing analysis, a pulse abnormality recognition model is established to generate a health risk assessment coefficient, and the health of breeding females and breeding males is intelligently assessed through the health risk assessment coefficient;

[0062] Compare and analyze the health hazard assessment coefficient generated based on the pulse abnormality recognition model with the pre-set health hazard assessment coefficient reference threshold to identify breeding females and breeding males with health hazards;

[0063] Abnormal pulse rhythm in breeding females and breeding males indicates that the breeding females and breeding males have health problems due to the following reasons:

[0064] First of all, pulse rhythm disorders often reflect abnormalities in the cardiovascular system or other related physiological systems of breeding females and breeding males. Under normal circumstances, the pulse of breeding females and breeding males should show a regular rhythm. If the pulse has rhythm disorders, such as irregular heart rate and unstable rhythm, it may mean that the heart function of the breeding females and breeding males is impaired or other organs are abnormal. This physiological function abnormality is often one of the important indicators of the health status of breeding females and breeding males.

[0065] Secondly, pulse rhythm disorder is often a warning sign of potential health risks. Even before the breeding females and breeding males show obvious symptoms of disease, pulse rhythm disorder may have indicated the possibility of some health problems or physiological disorders in the breeding females and breeding males. Timely detection and treatment of these potential health problems can effectively prevent the occurrence of diseases and protect the health of breeding females and breeding males.

[0066] Finally, health status is a crucial indicator in animal breeding. As an objective physiological indicator, pulse rhythm disorder can help identify and screen out potential health problems, thereby ensuring the selection of healthier and better offspring. Therefore, the monitoring and analysis of pulse rhythm disorder is an indispensable part of the breeding selection system, which helps to improve the health level and production performance of breeding females and breeding males.

[0067] The logic of obtaining the pulse rhythm disorder index is as follows:

[0068] In each time period, the pulse frequency information of the female and male breeding animals collected is arranged in chronological order to form time series data, which is represented by the function x(t), where t represents time;

[0069] Perform discrete Fourier transform on the pulse frequency time series x(t) to convert it into the frequency domain. The formula of discrete Fourier transform is: Where X(f) is the complex number at frequency f, N is the length of the time series, and x(t) is the sample value at time t;

[0070] Calculate the square of the modulus of the discrete Fourier transform result to obtain the power spectrum density in the frequency domain, which is used to represent the energy distribution of the signal at different frequencies. The formula for power spectrum density is: S(f) = |X(f)| 2 |X(f)| represents the modulus of the discrete Fourier transform of the pulse frequency time series x(t), and S(f) represents the power spectral density at frequency f;

[0071] Anomaly detection is performed on the power spectrum density to identify frequency components with abnormal energy distribution in the frequency domain, wherein the frequency components with abnormal energy distribution in the frequency domain are specifically identified as:

[0072] The power spectrum density of the frequency component is compared and analyzed with a preset power spectrum density reference threshold. If the power spectrum density is greater than the power spectrum density reference threshold, the frequency is marked as an abnormal frequency.

[0073] Calculate the pulse rhythm disorder index, the calculation expression is: Among them, F 异常 is the set of frequency components of abnormal energy distribution, F is the set of all frequency components, Rhy α It represents the pulse rhythm disorder index.

[0074] From the calculation expression of the pulse rhythm disorder index, it can be seen that in each time period, the larger the performance value of the pulse rhythm disorder index is, the higher the abnormality of the pulse rhythm of the breeding female animals and the breeding male animals is, and the higher the hidden danger of abnormal health status of the breeding female animals and the breeding male animals is. Conversely, the lower the abnormality of the pulse rhythm of the breeding female animals and the breeding male animals is, the lower the hidden danger of abnormal health status of the breeding female animals and the breeding male animals is.

[0075] Unstable pulse amplitude in breeding females and breeding males indicates that the breeding females and breeding males have health problems due to the following reasons:

[0076] First, the instability of the pulse amplitude often reflects changes in the contractility of the heart or the elasticity of the blood vessels. Under normal circumstances, the pulse amplitude should be relatively stable, but if the amplitude is unstable, it may mean that there are abnormalities in the cardiovascular system of the breeding females and breeding males, such as weakened heart contractility and vascular sclerosis. These cardiovascular dysfunctions may lead to health problems such as poor blood circulation and insufficient oxygen supply.

[0077] Secondly, pulse amplitude instability may also reflect changes in the blood pressure levels of the breeding females and breeding males. Blood pressure is an important parameter of blood circulation in the body, which directly affects the blood supply and oxygen delivery to the organs. If the pulse amplitude is unstable, it may indicate that the blood pressure of the breeding females and breeding males is unstable, which may be caused by cardiovascular disease, abnormal renal function or endocrine disorders. These changes in blood pressure may have a negative impact on the health of the breeding females and breeding males.

[0078] Finally, the instability of pulse amplitude may also indicate an imbalance in the physiological regulation of breeding females and breeding males. Under normal circumstances, the physiological functions of animals are kept stable through their own regulatory mechanisms, but when the pulse amplitude is unstable, it may mean that there is a problem with this regulatory mechanism. This may be caused by abnormalities in the endocrine system, disorders in the nervous system, or abnormalities in other physiological mechanisms. This physiological imbalance may cause a series of health problems, affecting the growth, development and production performance of breeding females and breeding males.

[0079] The logic of obtaining the pulse amplitude instability index is as follows:

[0080] In each time period, the pulse morphology information of the breeding female and breeding male animals is obtained and represented as time series data X = {x1, x2, x3, ..., x n}, where n is the length of the time series;

[0081] Select a reference pulse waveform Y = {y1, y2, y3, ..., y n};

[0082] The reference pulse waveform may be an average shape of a normal pulse waveform or other standard shapes.

[0083] The cosine similarity formula is used to calculate the similarity between the reference pulse waveform Y and the pulse shape X in each time period. The cosine similarity formula is: Among them, x i and i They respectively represent the amplitude values ​​of the pulse shape X and the reference pulse waveform Y at the i-th moment.

[0084] The closer the cosine similarity value is to 1, the more similar the pulse shape is to the reference pulse waveform and the more stable the amplitude change is; the closer the value is to 0, the greater the difference between the pulse shape and the reference pulse waveform and the more unstable the amplitude change is.

[0085] Calculate the pulse wave amplitude instability index. The calculation expression is: Wave β =Cos·e Cos+1 , where Wave β Indicates the pulse wave amplitude instability index.

[0086] From the calculation expression of the pulse wave amplitude instability index, it can be seen that in each time period, the larger the performance value of the pulse wave amplitude instability index is, the higher the abnormality of the pulse wave amplitude of the breeding female animals and the breeding male animals is, and the higher the hidden danger of abnormal health status of the breeding female animals and the breeding male animals is. Conversely, the lower the abnormality of the pulse wave amplitude of the breeding female animals and the breeding male animals is, the lower the hidden danger of abnormal health status of the breeding female animals and the breeding male animals is.

[0087] The pulse rhythm disorder index Rhy is generated based on the abnormal analysis of pulse frequency and pulse morphology in each period. α and pulse wave instability index Wave β Establish a pulse abnormality recognition model and generate a health risk assessment coefficient ξ Hal The pulse abnormality recognition model is not specifically limited here, and can realize the pulse rhythm disorder index Rhy α and pulse wave instability index Wave β Conduct comprehensive analysis and generate health risk assessment coefficient ξ Hal In order to realize the technical solution of the present invention, the present invention provides a specific implementation method;

[0088] Health hazard assessment coefficient ξ Hal The resulting calculation formula is: Where d1 and d2 are the pulse rhythm disorder index Rhy α and pulse wave instability index Wave β The preset proportional coefficient, and d1 and d2 are both greater than 0.

[0089] The health hazard assessment coefficient generated based on the abnormal pulse recognition model is compared and analyzed with the pre-set health hazard assessment coefficient reference threshold. If the health hazard assessment coefficient is greater than or equal to the health hazard assessment coefficient reference threshold, the corresponding breeding female animals and breeding male animals will be marked, indicating that the breeding female animals and breeding male animals have health hazards.

[0090] After identifying the breeding females and breeding males with health risks, continue to monitor the pulse characteristics of the breeding females and breeding males in real time, preliminarily determine whether the breeding females and breeding males with health risks are affected by physiological reactions, and screen out the breeding females and breeding males with physiological reactions;

[0091] After identifying the breeding females and breeding males with health hazards, that is, for the marked breeding females and breeding males, a number of health hazard assessment coefficients generated during the pulse feature monitoring of the breeding females and breeding males are continuously obtained to establish an analysis set, and after comparing and analyzing the health hazard assessment coefficients in the analysis set with the pre-set health hazard assessment coefficient reference threshold, the health hazard assessment coefficient greater than the health hazard assessment coefficient reference threshold is recalibrated as ξ Halv , through the health hazard assessment coefficient ξ Halv The comprehensive health hazard coefficient is calculated by using the health hazard assessment coefficient reference threshold. The calculation expression is: In the formula, ξ 综合 represents the comprehensive health hazard coefficient, m represents the total number of health hazard assessment coefficients in the analysis set that are greater than the reference threshold of the health hazard assessment coefficient, and M represents the total number of health hazard assessment coefficients in the analysis set.

[0092] When breeding screening is performed on breeding females and breeding males based on pulse characteristics, when breeding females and breeding males with health risks are judged to have health risks due to physiological reactions, this situation may be sudden, and after a short period of time, the physiological reactions disappear, and then the breeding females and breeding males with health risks will subsequently become normal. However, if breeding females and breeding males with health risks are judged to have health risks due to pathology, this situation will not be sudden, and after a short period of time, the breeding females and breeding males with health risks will still be judged as breeding females and breeding males with health risks.

[0093] Therefore, the smaller the expression value of the comprehensive health hazard coefficient is, the greater the probability that the health hazards of the breeding females and breeding males are caused by physiological reactions. Conversely, the smaller the expression value of the comprehensive health hazard coefficient is, the greater the probability that the health hazards of the breeding females and breeding males are caused by pathology.

[0094] The comprehensive health hazard coefficient is compared and analyzed with the pre-set comprehensive health hazard coefficient reference threshold. If the comprehensive health hazard coefficient is less than the comprehensive health hazard coefficient reference threshold, the marked breeding females and breeding males will be screened out, and these females and breeding males will be identified as breeding females and breeding males who have been judged to have health hazards due to physiological reactions. If the comprehensive health hazard coefficient is greater than or equal to the comprehensive health hazard coefficient reference threshold, the marking of the breeding females and breeding males will be retained, and these females and breeding males will be preliminarily identified as breeding females and breeding males who have not been judged to have health hazards due to physiological reactions.

[0095] For the breeding females and breeding males that are initially judged to have no physiological reactions, the monitoring time is extended, and the breeding females and breeding males that are affected by physiological reactions are screened out again to ensure that the breeding females and breeding males that are affected by physiological reactions are not mistakenly identified as breeding females and breeding males that do not meet the standards;

[0096] For the breeding females and breeding males that are initially judged to have no physiological reactions, the monitoring time can be extended. At this time, you can choose to randomly select a time period from the time of each day. This can effectively avoid the breeding females and breeding males from having continuous physiological reactions throughout the day. Randomly selecting a time period from the time of each day can effectively avoid this situation, collect the health hazard assessment coefficients of the corresponding time periods to establish an analysis set, calculate the mean of the health hazard assessment coefficient and the standard deviation of the health hazard assessment coefficient by analyzing the health hazard assessment coefficients in the set, and compare the mean of the health hazard assessment coefficient and the standard deviation of the health hazard assessment coefficient with the pre-set health hazard assessment coefficient reference threshold and standard deviation reference threshold, respectively. Analysis shows that if the mean of the health hazard assessment coefficient is less than the reference threshold of the health hazard assessment coefficient and the standard deviation of the health hazard assessment coefficient is less than the standard deviation reference threshold, the marked breeding females and breeding males will be screened out, and these breeding females and breeding males will be further identified as breeding females and breeding males whose health hazards are judged to be due to physiological reactions; if the mean of the health hazard assessment coefficient is less than the reference threshold of the health hazard assessment coefficient and the standard deviation of the health hazard assessment coefficient is less than the standard deviation reference threshold, the markings of the breeding females and breeding males will be retained, and these breeding females and breeding males will be further identified as breeding females and breeding males whose health hazards are not judged to be due to physiological reactions.

[0097] If the mean of the health hazard assessment coefficient is less than the reference threshold of the health hazard assessment coefficient and the standard deviation of the health hazard assessment coefficient is less than the reference threshold of the standard deviation, it indicates that the analysis set generally has a situation where the health hazard assessment coefficient is less than the reference threshold of the health hazard assessment coefficient. In this way, it can be determined that the breeding females and breeding males with health hazards may have been continuously affected by physiological reactions for a period of time.

[0098] The present invention divides the breeding and screening process of breeding female animals and breeding male animals into several equal time periods, and conducts detailed analysis and evaluation of the pulse data in each time period, thereby being able to more accurately capture the health status and physiological changes of breeding female animals and breeding male animals. In addition, by conducting a comprehensive analysis of the pulse frequency and pulse morphology, and generating a pulse rhythm disorder index and a pulse amplitude instability index, and then establishing a pulse abnormality recognition model, the breeding female animals and breeding male animals that actually have health risks can be effectively identified.

[0099] The present invention can effectively identify the female and male breeding animals with temporary health problem marks due to short-term physiological reactions by continuously monitoring and re-evaluating the pulse characteristics of the female and male breeding animals marked as having health risks, especially by establishing an analysis set of health risk assessment coefficients and a monitoring strategy based on random selection of time. This method of dynamic monitoring and real-time adjustment greatly reduces the misjudgment caused by physiological reactions, ensures that the female and male breeding animals that are healthy but affected by temporary conditions are not mistakenly eliminated, and ensures that the female and male breeding animals that really have health problems can be accurately identified and screened out, which not only enhances the scientificity and rationality of the breeding screening process, but also provides more accurate data support and decision-making basis for the health management of female and male breeding animals.

[0100] The present invention provides Figure 2 The animal breeding screening system based on digital Chinese medicine pulse diagnosis shown includes the following steps:

[0101] The pulse data collection module collects the pulse data of the breeding female animals and the breeding male animals, and pre-processes the collected pulse data;

[0102] The abnormality recognition module uses digital technology to extract pulse features and perform abnormality analysis after pulse data collection, and establishes a pulse abnormality recognition model based on the pulse features after abnormal analysis to identify breeding females and breeding males with health risks;

[0103] The preliminary screening module, after identifying the breeding females and breeding males with health risks, continues to monitor the pulse characteristics of the breeding females and breeding males in real time, preliminarily determines whether the breeding females and breeding males with health risks are affected by physiological reactions, and screens out the breeding females and breeding males with physiological reactions;

[0104] The deep screening module prolongs the monitoring time for the breeding females and breeding males that are initially judged to have no physiological reactions, and screens out the breeding females and breeding males that are affected by physiological reactions again, ensuring that the breeding females and breeding males that are affected by physiological reactions are not mistakenly identified as breeding females and breeding males that do not meet the standards;

[0105] An animal breeding screening method based on digital Chinese medicine pulse diagnosis provided by an embodiment of the present invention is realized by the above-mentioned animal breeding screening system based on digital Chinese medicine pulse diagnosis. The specific method and process of an animal breeding screening system based on digital Chinese medicine pulse diagnosis are detailed in the embodiment of the above-mentioned animal breeding screening method based on digital Chinese medicine pulse diagnosis, which will not be repeated here.

[0106] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0107] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0108] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. An animal breeding screening method based on digital Chinese medicine pulse diagnosis, characterized in that: The following steps are involved: Collecting pulse data of breeding female animals and breeding male animals, and pre-processing the collected pulse data; After the pulse data is collected, the pulse digitization technology is used to extract the characteristics and analyze the abnormalities. Based on the pulse characteristics after the analysis and processing of breeding and cultivation indicators, a pulse constitution gene identification model is established to identify the breeding females and males with good constitutions and those with health risks. Through continuous monitoring and re-evaluation, a stable physical genetic breed can be formed, and at the same time, breeding females and breeding males with temporary signs of health problems due to short-term physiological reactions can be effectively identified, greatly reducing the misjudgment of substandard animals due to physiological reactions and other short-term signs. For the breeding females and breeding males that are initially judged not to have physiological reactions, the monitoring time is extended, and the breeding females and breeding males that are affected by physiological reactions are screened out again to ensure that the breeding females and breeding males that are affected by physiological reactions are not mistakenly identified as breeding females and breeding males that meet the standards.

2. The animal breeding screening method based on digital Chinese medicine pulse diagnosis according to claim 1, characterized in that: A pulse constitution recognition model is established based on the pulse characteristics after analysis and processing to identify breeding females and breeding males with good constitutions and those with health risks. The specific steps are as follows: Divide the breeding selection process of breeding females and breeding males into several equal time periods, ensuring that the duration of each time period is equal; In each time period, the pre-processed pulse data is subjected to feature extraction using digital technology to extract pulse features related to the health status of breeding female animals and breeding male animals, wherein the pulse features related to the health status of breeding female animals and breeding male animals include pulse frequency and pulse morphology. After abnormal processing and analysis of the pulse frequency and pulse morphology, a pulse rhythm disorder index and a pulse amplitude instability index are generated; Based on the pulse rhythm disorder index and pulse amplitude instability index generated after abnormal processing analysis, a pulse abnormality recognition model is established to generate a health risk assessment coefficient for physical signs, and the physical signs of breeding females and breeding males are optimized and assessed through the risk assessment coefficient; The health hazard assessment coefficient generated based on the abnormal pulse recognition model is compared and analyzed with the pre-set health hazard assessment coefficient reference threshold to identify breeding female and male animals with health hazards.

3. The animal breeding screening method based on digital Chinese medicine pulse diagnosis according to claim 2, characterized in that: The logic of obtaining the pulse rhythm disorder index is as follows: In each time period, the pulse frequency information of the female and male breeding animals collected is arranged in chronological order to form time series data, which is represented by the function x(t), where t represents time; Perform discrete Fourier transform on the pulse frequency time series x(t) to convert it into the frequency domain. The formula of discrete Fourier transform is: Where X(f) is the complex number at frequency f, N is the length of the time series, and x(t) is the sample value at time t; Calculate the square of the modulus of the discrete Fourier transform result to obtain the power spectrum density in the frequency domain, which is used to represent the energy distribution of the signal at different frequencies. The formula for power spectrum density is: S(f) = |X(f)| 2 , |X(f)| represents the modulus of the discrete Fourier transform of the pulse frequency time series x(t), and S(f) represents the power spectral density at frequency f; Anomaly detection is performed on the power spectrum density to identify frequency components with abnormal energy distribution in the frequency domain, wherein the frequency components with abnormal energy distribution in the frequency domain are specifically identified as: The power spectrum density of the frequency component is compared and analyzed with a preset power spectrum density reference threshold. If the power spectrum density is greater than the power spectrum density reference threshold, the frequency is marked as an abnormal frequency. Calculate the pulse rhythm disorder index, the calculation expression is: Among them, F 异常 is the set of frequency components of abnormal energy distribution, F is the set of all frequency components, Rhy α It represents the pulse rhythm disorder index.

4. The animal breeding screening method based on digital Chinese medicine pulse diagnosis according to claim 3 is characterized in that: The logic of obtaining the pulse amplitude instability index is as follows: In each time period, the pulse morphology information of the breeding female and breeding male animals is obtained and represented as time series data X = {x1, x2, x3, ..., xn } , where n is the length of the time series; Select a reference pulse waveform Y = {y1, y2, y3, ..., y n }; The cosine similarity formula is used to calculate the similarity between the reference pulse waveform Y and the pulse shape X in each time period. The cosine similarity formula is: Among them, x i and i Respectively represent the amplitude values ​​of pulse morphology X and reference pulse waveform Y at the i-th moment; Calculate the pulse wave amplitude instability index. The calculation expression is: Wave β =Cos·e Cos+1 , where Wave β Indicates the pulse wave amplitude instability index.

5. The animal breeding screening method based on digital Chinese medicine pulse diagnosis according to claim 3, characterized in that: The health hazard assessment coefficient generated based on the abnormal pulse recognition model is compared and analyzed with the pre-set health hazard assessment coefficient reference threshold. If the health hazard assessment coefficient is greater than or equal to the health hazard assessment coefficient reference threshold, the corresponding breeding female animals and breeding male animals will be marked, indicating that the breeding female animals and breeding male animals have health hazards.

6. The animal breeding screening method based on digital Chinese medicine pulse diagnosis according to claim 1, characterized in that: After identifying the breeding females and breeding males with health hazards, that is, for the marked breeding females and breeding males, a number of health hazard assessment coefficients generated during the pulse feature monitoring of the breeding females and breeding males are continuously obtained to establish an analysis set, and after comparing and analyzing the health hazard assessment coefficients in the analysis set with the pre-set health hazard assessment coefficient reference threshold, the health hazard assessment coefficient greater than the health hazard assessment coefficient reference threshold is recalibrated as ξ Halv , through the health hazard assessment coefficient ξ Halv The comprehensive health hazard coefficient is calculated by using the health hazard assessment coefficient reference threshold. The calculation expression is: In the formula, ξ 综合 represents the comprehensive health hazard coefficient, m represents the total number of health hazard assessment coefficients in the analysis set that are greater than the reference threshold of the health hazard assessment coefficient, and M represents the total number of health hazard assessment coefficients in the analysis set.

7. The animal breeding screening method based on digital Chinese medicine pulse diagnosis according to claim 6, characterized in that: The comprehensive health hazard coefficient is compared and analyzed with the pre-set comprehensive health hazard coefficient reference threshold. If the comprehensive health hazard coefficient is less than the comprehensive health hazard coefficient reference threshold, the marked breeding females and breeding males will be screened out, and these females and breeding males will be identified as breeding females and breeding males who have been judged to have health hazards due to physiological reactions. If the comprehensive health hazard coefficient is greater than or equal to the comprehensive health hazard coefficient reference threshold, the marking of the breeding females and breeding males will be retained, and these females and breeding males will be preliminarily identified as breeding females and breeding males who have not been judged to have health hazards due to physiological reactions.

8. The animal breeding screening method based on digital pulse diagnosis according to claim 7, characterized in that: For breeding females and breeding males that are initially judged to have no physiological reactions, the monitoring time is extended, a time period is randomly selected from each day, and the health hazard assessment coefficients of the corresponding time period are collected to establish an analysis set. The mean and standard deviation of the health hazard assessment coefficients are calculated by analyzing the health hazard assessment coefficients in the set.

9. The animal breeding screening method based on digital Chinese medicine pulse diagnosis according to claim 8, characterized in that: The mean value and standard deviation of the health hazard assessment coefficient are compared and analyzed with the pre-set reference threshold value of the health hazard assessment coefficient and the standard deviation reference threshold value respectively. If the mean value of the health hazard assessment coefficient is less than the reference threshold value of the health hazard assessment coefficient and the standard deviation of the health hazard assessment coefficient is less than the standard deviation reference threshold value, the marked female and male breeding animals are screened out, and these female and male breeding animals are further identified as female and male breeding animals that are judged to have health hazards due to physiological reactions. If the mean value of the health hazard assessment coefficient is less than the reference threshold value of the health hazard assessment coefficient and the standard deviation of the health hazard assessment coefficient is less than the standard deviation reference threshold value, the markings of the female and male breeding animals are retained, and these female and male breeding animals are further identified as female and male breeding animals that are not judged to have health hazards due to physiological reactions.

10. An animal breeding screening system based on digital Chinese pulse diagnosis, used to implement an animal breeding screening method based on digital Chinese pulse diagnosis as described in any one of claims 1 to 9, characterized in that: The following steps are involved: The pulse data collection module collects the pulse data of the breeding female animals and the breeding male animals, and pre-processes the collected pulse data; The abnormality recognition module uses digital technology to extract pulse features and perform abnormality analysis after pulse data collection. Based on the pulse features after abnormality analysis, a pulse abnormality recognition model is established to identify breeding females and breeding males with physical health risks; The preliminary screening module, after identifying the breeding females and breeding males with health risks, continues to monitor the pulse characteristics of the breeding females and breeding males in real time, preliminarily determines whether the breeding females and breeding males with health risks are affected by physiological reactions, and screens out the breeding females and breeding males with physiological reactions; The deep screening module extends the monitoring time for the breeding females and breeding males that are initially judged to have no physiological reactions, and again screens out the breeding females and breeding males that are affected by physiological reactions, to ensure that the breeding females and breeding males that are affected by physiological reactions are not mistakenly identified as breeding females and breeding males that do not meet the standards.