A real-time monitoring method, device and storage medium for bacterial resistance monitoring

Abstract

The present application relates to the technical field of bacterial resistance monitoring, and in particular to a real-time monitoring method, device and storage medium for bacterial resistance monitoring. The method includes: obtaining and analyzing the physical sign data of brooding animals during the production period to determine the physical energy consumption during the production period; determining a number of supplementary antibiotics based on the physical energy consumption; obtaining and analyzing the historical medication records of brooding animals to determine the basic drug resistance of each supplementary antibiotic; obtaining and analyzing the changes in hormone levels of brooding animals during pregnancy to determine the drug resistance effects of hormone level changes on basic drug resistance; determining the actual drug resistance of each supplementary antibiotic based on the drug resistance effects; determining the optimal supplementary antibiotic and supplementary dosage to supplement the consumed physical energy based on the actual drug resistance and physical energy consumption. Taking into account factors such as actual drug resistance, physical energy consumption, and hormone levels, the selection and dosage of antibiotics are dynamically optimized to ensure that the disease can be effectively treated without increasing the risk of drug resistance.

Description

Technical Field

[0001] The present application relates to the technical field of bacterial resistance monitoring, and in particular to a real-time monitoring method, device and storage medium for bacterial resistance monitoring. Background Art

[0002] During the birthing period, female animals are prone to infection due to their high physical exertion and relatively low immunity. Traditional treatment methods include injecting solutions such as glucose or saline containing antibiotics.

[0003] However, with the abuse of antibiotics and the gradual increase in bacterial resistance, traditional standardized treatment plans often fail to achieve the expected results and may even further promote the spread of drug-resistant strains, which will not only significantly weaken the treatment effect but also increase the risk of antibiotic abuse. Summary of the invention

[0004] The present application provides a real-time monitoring method, device and storage medium for bacterial resistance monitoring to solve the above-mentioned problems.

[0005] In a first aspect, the present application provides a real-time monitoring method for bacterial drug resistance monitoring, the real-time monitoring method is applied to a drug resistance monitoring device, the drug resistance monitoring device includes a server and a data acquisition device, the real-time monitoring method is applied to the server, and the method includes:

[0006] Acquiring physical sign data of the fertile animal during the fertility period, analyzing the physical sign data, and determining the physical energy consumption of the fertile animal during the fertility period;

[0007] Determine a number of supplemental antibiotics based on the physical exertion described;

[0008] Obtaining historical medication records of the fertile livestock, analyzing the historical medication records, and determining the basic drug resistance of each supplemental antibiotic;

[0009] Obtaining changes in hormone levels of the fertile female animal during pregnancy, analyzing the changes in hormone levels, and determining the effects of the changes in hormone levels on the basic drug resistance based on the change analysis results;

[0010] According to the drug resistance impact, the actual drug resistance of each supplementary antibiotic is determined; according to the actual drug resistance and the physical energy consumption, the optimal supplementary antibiotic and supplementary dosage are determined to supplement the consumed physical energy.

[0011] Through this solution, the physical sign data of fertile animals are continuously monitored through real-time data acquisition equipment. This real-time monitoring can identify changes in the health status of animals more timely, especially during production, to ensure timely intervention and reduce the occurrence of infections and other health problems; compared with traditional methods, it provides more accurate and dynamic monitoring methods, and improves the efficiency and accuracy of health management. Through the energy balance model, combined with real-time physical sign data, the physical energy consumption of fertile animals is accurately assessed, and an accurate energy supplement plan is provided, which overcomes the shortcomings of traditional methods that are mostly static health assessments and lack accurate quantification of the dynamic physical energy consumption of fertile animals during the production process, making energy supplementation more scientific, helping to maintain the physical fitness level of fertile animals and reduce the occurrence of postpartum fatigue and related complications. By analyzing the impact of hormone change levels on basic drug resistance, the hormone change levels are associated with basic drug resistance, making the antibiotic use strategy more personalized and accurate, especially in animal management during pregnancy, providing additional protection measures, making the drug resistance assessment more scientific. By comprehensively considering factors such as actual drug resistance, physical energy consumption, and hormone levels, the selection and dosage of antibiotics are dynamically optimized to ensure that the disease can be effectively treated without increasing the risk of drug resistance.

[0012] Optionally, the data acquisition device includes a motion tracking unit, which is disposed on the chest and / or limbs and / or head of the fertile animal. The step of obtaining the vital sign data of the fertile animal during the fertility period includes:

[0013] Controlling the motion tracking unit to obtain the activity amount and motion form of the fertile animal during the production period;

[0014] Analyzing the activity amount and the exercise form to determine the physical sign data of the breeding female animal during the production period;

[0015] The physical sign data includes at least one of real-time exercise heart rate data, real-time respiratory rate, and real-time body temperature; analyzing the physical sign data to determine the physical energy consumption of the fertile livestock during the production period includes:

[0016] Comparing the real-time exercise heart rate data, the real-time respiratory rate and the real-time body temperature with corresponding baseline reference values, and determining the real-time exercise consumption of the breeding female animal according to the comparison results;

[0017] The growth data of the breeding stock is obtained to determine the physical condition of the breeding stock; and the physical energy consumption of the breeding stock during the production period is determined based on the physical condition and the real-time exercise consumption.

[0018] Through this solution, real-time monitoring equipment is used to continuously collect data on the movement, heart rate, body temperature and other signs of reproductive animals. This real-time nature can quickly respond to changes in the health of the animals and avoid problems caused by delays or incomplete data. Real-time monitoring ensures that any abnormal situation can be captured immediately during the production process, allowing rapid intervention, significantly improving the accuracy and efficiency of animal management. Integrating multiple signs of data and conducting comprehensive analysis can more comprehensively reflect the physical condition and energy consumption of the animals. By analyzing the real-time heart rate, respiratory rate, body temperature and historical growth data of each reproductive animal, the physical consumption assessment of each animal is tailored. Personalized physical consumption assessment helps to provide more accurate nutritional supplements and drug use plans to ensure that each animal can complete the production process in the best health.

[0019] Optionally, determining the physical energy consumption of the fertile animal during the production period according to the physical condition and the real-time exercise consumption includes:

[0020] Determining the weight of the fertile female livestock before giving birth based on the physical condition;

[0021] Obtaining pregnancy data of the fertile female animal, analyzing the pregnancy data, determining the number of fetuses and changes in fetal growth, organ changes, and hormone levels during each preset time period;

[0022] Determining the energy requirement of the fertile animal to maintain daily physiological functions during pregnancy based on the organ changes and the hormone level changes;

[0023] determining the daily growth rate of the fetus based on the fetal growth changes;

[0024] The basal metabolic rate of the fertile female animal is calculated according to the pre-delivery weight, the number of fetuses, the energy requirement and the daily growth rate by the following formula:

[0025] ;

[0026] in, Indicates the basal metabolic rate of the fertile female animal; Indicates the weight of the fertile female animal before giving birth; Indicates the effect of fetal growth on energy requirements; indicates the number of fetuses; represents said daily growth rate; representing said energy requirement;

[0027] Determine the activity metabolic rate according to the real-time exercise heart rate data, the real-time breathing frequency and the real-time exercise consumption;

[0028] The physical energy consumption of the brooding animal during the production period is determined based on the active metabolic rate, the basal metabolic rate and the real-time exercise heart rate data.

[0029] Through this solution, by combining the parameters such as the pre-delivery weight of the mother animal, the number of fetuses, and the daily growth rate of the fetus, the basal metabolic rate is accurately calculated using a formula, and combined with real-time exercise heart rate, respiratory rate, and exercise consumption data, a personalized energy demand assessment is obtained. Unlike traditional static data collection, this application uses real-time monitoring equipment (such as a motion tracking unit) to dynamically capture the heart rate, respiratory rate, and exercise consumption data of the mother animal; especially during production, nutrition and management strategies can be adjusted in time to improve the health protection of the mother animal. Multiple physiological parameters (such as weight, number of fetuses, fetal growth rate, organ changes, hormone levels, etc.) are integrated and comprehensively analyzed through complex mathematical models. This enables a comprehensive assessment of the physical condition and energy needs of the mother animal.

[0030] Optionally, the analyzing the historical medication records to determine the basic drug resistance of each supplemental antibiotic includes:

[0031] Analyze the historical medication records to determine the historical illness records of the fertile livestock;

[0032] According to the historical illness records, determine the changes in symptoms and medication used by the brooding animal each time it becomes ill;

[0033] Determine the bacterial resistance caused by medication used during the sick stage of the breeding female animal according to the symptom changes, medication use and physical condition;

[0034] Obtaining the feeding record of the dam, and determining whether the dam was fed antibiotics during feeding according to the feeding record;

[0035] If so, predicting the food intake of the fertile female livestock according to the food intake record;

[0036] predicting the antibiotic metabolism of the fertile female animal according to the food intake and the physical condition;

[0037] The basic resistance of each supplementary antibiotic is determined based on the antibiotic metabolism and the bacterial resistance.

[0038] Through this solution, the antibiotic use history and bacterial resistance of reproductive females are comprehensively analyzed by integrating multiple data dimensions such as historical illness records, symptom changes, medication, feeding records, and antibiotic metabolism. This multi-dimensional analysis method can provide a more comprehensive and accurate resistance assessment. By analyzing the individualized data of each female animal (such as symptom changes, medication, physical condition, etc.), its specific resistance level is determined. This personalized assessment can help develop more accurate medication strategies and avoid one-size-fits-all treatment methods. By collecting feeding records and medication during the illness stage in real time, the intake and metabolism of antibiotics can be dynamically monitored, and potential bacterial resistance can be predicted. By analyzing the basic resistance of female animals to different antibiotics, the use of antibiotics can be optimized. The optimal type and dosage of medication can be determined through accurate resistance analysis, thereby improving the efficiency of antibiotic use.

[0039] Optionally, the determining of the bacterial resistance caused by medication during the sick stage of the fertile livestock according to the symptom changes, the medication conditions and the physical condition includes:

[0040] Determine the type, dosage and time of medication for the brooding animal during the sick stage according to the medication situation;

[0041] Determine the progression of the disease at each medication stage based on the medication time and the changes in the symptoms;

[0042] Determining the weight, body temperature and immune index of the fertile animal during the sick stage according to the physical condition;

[0043] Determine the correlation between medication and changes in bacterial resistance based on the medication type, medication dosage, and disease progression at each medication stage;

[0044] The bacterial resistance caused by medication during the sick stage of the breeding female animal is determined based on the correlation, the body weight, the body temperature and the immune index.

[0045] Through this solution, by dynamically monitoring changes in the disease, medication, and physical condition, the health status of dams can be tracked in real time, and medication strategies can be analyzed and adjusted based on real-time data. Multidimensional data (including medication type, dosage, time, disease changes, body weight, body temperature, immune indicators, etc.) is integrated to establish the relationship between medication and drug resistance through comprehensive analysis, providing a more comprehensive drug resistance assessment. The multidimensional data integration of this application can provide a deeper understanding of the formation mechanism of bacterial resistance and make more scientific judgments. This makes it possible to identify the development pattern of bacterial resistance after medication and provide early warning.

[0046] Optionally, predicting the antibiotic metabolism of the fertile livestock according to the food intake and the physical condition includes:

[0047] Determining the real-time weight, real-time body fat percentage, and real-time metabolic rate of the female animal during the growth stage according to the physical condition;

[0048] According to the feeding record, determine the feeding amount, feeding type, feeding dosage and feeding frequency of each feeding;

[0049] Determining the intake of the broad-spectrum antibiotic according to the food intake, the feeding amount, the feeding type and the feeding dosage;

[0050] The antibiotic metabolism of the fertile animal after each feeding is predicted according to the intake, the real-time metabolic rate, the real-time body weight, the feeding frequency and the real-time body fat percentage.

[0051] Through this solution, by conducting a detailed analysis of the real-time physical condition (including weight, body fat percentage, metabolic rate) and eating conditions of the female livestock, the intake of each antibiotic can be accurately calculated and its metabolism in the body can be predicted. This accuracy helps to feed antibiotics at the right time and dosage, thereby improving the efficiency of drug use and the therapeutic effect. By accurately predicting the metabolism of antibiotics, excessive use of antibiotics can be avoided and unnecessary drug exposure can be reduced. This helps to reduce the risk of bacterial resistance, thereby extending the effective use period of antibiotics and ensuring long-term therapeutic effects. Real-time monitoring and prediction of antibiotic metabolism in female livestock can help farmers adjust feeding strategies in time to respond to changes in the health status of female livestock. This proactive management method can reduce the occurrence of diseases, improve the overall health level of female livestock, and thus improve the production efficiency and economic benefits of breeding. Real-time metabolic prediction allows farmers to flexibly adjust treatment plans according to the individual conditions of female livestock.

[0052] Optionally, the basic drug resistance of each supplementary antibiotic is determined according to the antibiotic metabolism and the bacterial drug resistance, and is calculated according to the following formula:

[0053] ;

[0054] in, Indicates the basal resistance of each supplemented antibiotic; Indicates the drug resistance of the bacteria; represents the antibiotic distribution volume obtained according to the real-time body weight and the real-time body fat percentage; Indicates the feeding dosage; represents the antibiotic absorption rate constant of the fertile female animal after each feeding obtained according to the physical condition; Indicates the feeding cycle of antibiotics determined according to the feeding frequency; It represents the elimination rate of antibiotics in the corresponding feeding period of antibiotics; indicating the real-time metabolic rate; Indicates the sensitivity of the drug exposure to the basic drug resistance determined according to the feeding frequency, the physical condition, and the feeding dose; Indicates the effect of increasing or decreasing the feeding dose on the sensitivity; Represents the adjustment factor.

[0055] Through this scheme, the basic resistance of each supplementary antibiotic can accurately reflect the degree of bacterial resistance to the antibiotic used under specific conditions through formula calculation. This prediction helps farmers to identify situations that may lead to increased resistance in advance when using drugs, so as to take preventive measures. Because the calculation process takes into account the individual physiological characteristics of the female animal, such as real-time weight, body fat percentage, metabolic rate, etc., the basic resistance value obtained is highly personalized. This personalized calculation allows the formulation of a medication strategy based on the specific situation of each female animal. The formula calculation can help identify situations where the dosage is too high or too low in the use of antibiotics. By evaluating the sensitivity parameters, dosage influencing parameters and adjustment factors, the dosage and frequency of antibiotic use can be optimized, thereby reducing unnecessary antibiotic exposure and reducing the risk of bacterial resistance development. Because the formula integrates the real-time metabolic rate and other dynamic factors, the calculated basic resistance value can reflect the current physiological state of the female animal.

[0056] Optionally, the drug exposure is determined based on the feeding frequency, the physical condition, and the feeding dose, and is calculated according to the following formula:

[0057] ;

[0058] in, represents the exposure to the drug; Indicates the feeding cycle of antibiotics determined according to the feeding frequency; Indicates the feeding dosage; represents the antibiotic absorption rate constant of the fertile female animal after each feeding obtained according to the physical condition; represents the antibiotic distribution volume obtained according to the real-time body weight and the real-time body fat percentage; It represents the elimination rate of antibiotics in the corresponding feeding period of antibiotics; Represents a continuous time variable, indicating the time course of the drug after it enters the body.

[0059] Through this scheme, the formula calculates the sum of the changes in the concentration of the drug in the body over time by integration , can accurately assess the total exposure of antibiotics in the body of the female animal during a specific feeding cycle. This helps to ensure the efficacy and safety of the drug. The value can help optimize the antibiotic feeding strategy to ensure that the drug maintains an appropriate concentration in the body of the dam. It helps to avoid side effects or drug resistance caused by excessive or insufficient drug while ensuring the therapeutic effect. Since the parameters in the formula can be adjusted individually according to the specific physical condition of the dam, the calculated The values ​​reflect the individual differences of each female animal, thus supporting the development of personalized treatment plans. This approach ensures that each female animal receives the antibiotic treatment that best suits its physiological state. By precisely controlling drug exposure, the chance of bacteria being exposed to sub-inhibitory concentrations of antibiotics can be reduced, reducing the selection pressure for resistant strains, thereby effectively managing the risk of antibiotic resistance. The calculation provides a scientific basis for decision-making on the use of antibiotics. Farmers can rely on these data to make reasonable feeding decisions, rather than relying on experience or trial, to ensure the effectiveness and safety of medication.

[0060] In a second aspect, the present application provides a real-time monitoring device for bacterial resistance monitoring, which is applied to the method described in any one of the first aspects, including:

[0061] The consumption analysis module is used to obtain the physical sign data of the fertile animal during the fertility period, analyze the physical sign data, and determine the physical energy consumption of the fertile animal during the fertility period;

[0062] An antibiotic determination module, used for determining a number of supplementary antibiotics according to the physical energy consumption;

[0063] A basic drug resistance analysis module, used to obtain the historical drug use records of the fertile livestock, analyze the historical drug use records, and determine the basic drug resistance of each supplementary antibiotic;

[0064] A drug resistance impact analysis module, used to obtain the changes in hormone levels of the fertile livestock during pregnancy, analyze the changes in hormone levels, and determine the drug resistance impact of the changes in hormone levels on the basic drug resistance based on the change analysis results;

[0065] The antibiotic selection module is used to determine the actual drug resistance of each supplementary antibiotic according to the drug resistance impact; and determine the best supplementary antibiotic and supplementary dosage to supplement the consumed physical energy according to the actual drug resistance and the physical energy consumption.

[0066] In a third aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program; when the computer program is executed by a processor, the method described in any one of the first aspects is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0068] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0069] Figure 2 A flowchart of a real-time monitoring method for bacterial drug resistance monitoring provided in one embodiment of the present application;

[0070] Figure 3 A schematic structural diagram of a real-time monitoring device for bacterial resistance monitoring provided in one embodiment of the present application. DETAILED DESCRIPTION

[0071] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0072] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0073] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0074] With the abuse of antibiotics and the gradual increase in bacterial resistance, traditional standardized treatment plans often fail to achieve the expected results and may even further promote the spread of drug-resistant strains, which will not only significantly weaken the treatment effect but also increase the risk of antibiotic abuse.

[0075] Based on this, the present application provides a real-time monitoring method, equipment and storage medium for bacterial resistance monitoring, which continuously monitors the vital signs data of fertile livestock through real-time data acquisition equipment. This real-time monitoring can identify changes in the health status of animals more timely, especially during production, to ensure timely intervention and reduce the occurrence of infections and other health problems; compared with traditional methods, it provides more accurate and dynamic monitoring methods, and improves the efficiency and accuracy of health management. Through the energy balance model, combined with real-time vital signs data, the physical energy consumption of the fertile livestock is accurately assessed, and an accurate energy supplement plan is provided, which overcomes the shortcomings of traditional methods that are mostly static health assessments and lack accurate quantification of the dynamic physical energy consumption of fertile livestock during the production process, making energy supplementation more scientific, helping to maintain the physical fitness level of fertile livestock, and reducing the occurrence of postpartum fatigue and related complications. By analyzing the impact of hormone change levels on basic drug resistance, the hormone change levels are associated with basic drug resistance, making the antibiotic use strategy more personalized and accurate, especially in animal management during pregnancy, providing additional protection measures, making drug resistance assessment more scientific. By comprehensively considering factors such as actual drug resistance, physical energy consumption, and hormone levels, the selection and dosage of antibiotics are dynamically optimized to ensure that the disease can be effectively treated without increasing the risk of drug resistance.

[0076] Figure 1 A schematic diagram of an application scenario provided for the present application. In order to replenish the physical energy of the corresponding sows during production, antibiotics need to be supplemented. When determining how to supplement antibiotics, the real-time monitoring method for bacterial resistance monitoring provided by the present application can be used to achieve efficient judgment of antibiotic types and supplement amounts, thereby improving the efficiency of improving the physical energy of the sows.

[0077] Specifically, the method provided in the present application is applied to any server, and the server interacts with the data acquisition equipment in the production area of ​​the maternal livestock, wherein the data acquisition equipment may include a camera, a weighing device, several different types of sensors, a vital sign acquisition device, etc. By acquiring data from the data acquisition equipment, such as the vital sign data of the maternal livestock, the level of hormone changes, etc., and analyzing the vital sign data, the physical energy consumption of the maternal livestock during the production period is determined, thereby determining the antibiotics that can be supplemented, and then analyzing the changes in hormone levels. According to the results of the change analysis, the effect of the changes in hormone levels on the basic drug resistance is determined, and the basic drug resistance of each supplementary antibiotic is determined in combination with the historical medication records, and then the actual drug resistance of each supplementary antibiotic is determined, and finally the best supplementary antibiotic and supplementary dosage are determined to supplement the consumed physical energy. Improve the efficiency of maternal livestock physical fitness and reduce the waste of antibiotics. The specific implementation method can refer to the following embodiments.

[0078] Figure 2This is a flowchart of a real-time monitoring method for bacterial resistance monitoring provided by an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the real-time monitoring method is applied to a drug resistance monitoring device, the drug resistance monitoring device includes a server and a data acquisition device, and the real-time monitoring method is applied to the server, and the method includes:

[0079] S201, obtaining physical sign data of the breeding female animal during the breeding period, analyzing the physical sign data, and determining the physical energy consumption of the breeding female animal during the breeding period;

[0080] The vital sign data may be data on changes in the physical condition of the breeding stock during the production period, which can be obtained through the above-mentioned data acquisition equipment. In order to facilitate the understanding of the past physical condition of the breeding stock, these collected vital sign data may be stored in a database and named according to the characteristics of the breeding stock for easy later retrieval.

[0081] Specifically, the above equipment is used to collect physical sign data in real time during the production period, and the collected physical sign data is analyzed using statistical analysis or dedicated bioinformatics tools, which may include analysis of changes in body weight, comprehensive analysis of feed intake and nutritional components, and determination of real-time energy intake. Based on the analysis results, an energy balance model is used to estimate the physical energy consumption of the dam during the production period.

[0082] S202. Determine the number of supplementary antibiotics based on energy consumption.

[0083] The supplementary antibiotics may be antibiotics that have the function of replenishing energy consumption.

[0084] Specifically, in order to ensure that the brooding animals have enough physical strength to complete childbirth, rapid energy replenishment is required. Therefore, after determining the physical energy consumption of the brooding animals during the production period through the above steps, the physiological indicators of the brooding animals are screened through the data collected by the above equipment to determine whether there are signs of infection at present. If not, a number of supplementary antibiotics that can be used for energy replenishment are screened from a number of antibiotics based on the physical energy consumption of the brooding animals at the current moment. If signs of infection have already appeared, when selecting antibiotics, it is necessary to comprehensively consider the current status of the remaining brooding animals to determine which antibiotics can solve the infection problem at the current moment and also achieve energy replenishment.

[0085] S203. Obtain the historical medication records of the breeding female animals, analyze the historical medication records, and determine the basic drug resistance of each supplementary antibiotic.

[0086] The historical medication record may be a record of the illness of the dam from the time of birth to the current stage, including the record of the entire illness process, such as the type of illness, symptoms of illness, medication, etc. These medication records may be stored in the database corresponding to the dam along with the above-mentioned real-time acquired physical sign data.

[0087] Basic drug resistance can be understood as the resistance of the breeding animal to antibiotics in its body at that time, as shown by the physique of the breeding animal itself, the physical signs data during the growth process, and the amount of medication used.

[0088] Specifically, the historical medication records of the breeding stock are extracted from the above-mentioned database of the breeding stock to determine the medication situation for each illness, thereby determining the absorption of the currently used antibiotics in the corresponding stage based on the physical sign data and growth status of the breeding stock at each stage, and then determining the basic drug resistance of the breeding stock to the corresponding antibiotics based on the absorption situation and the current dosage, combined with the physical sign data of the breeding stock at that time.

[0089] S204. Obtain the changes in hormone levels of the fertile livestock during pregnancy, analyze the changes in hormone levels, and determine the impact of the changes in hormone levels on basic drug resistance based on the results of the change analysis.

[0090] In order to ensure the smooth pregnancy of the breeding stock, professional regular examinations can be carried out regularly by breeding staff or other professionals, and the regular examination data will be stored in the above-mentioned database belonging to the breeding stock. The regular examination data of the breeding stock during pregnancy is retrieved to determine which items can reflect the hormone level of the breeding stock, and then according to each regular examination data, the data changes of the physical examination items that can reflect the hormone level from the early pregnancy of the breeding stock to before giving birth are determined, so as to determine the changes in hormone levels during pregnancy.

[0091] For example, during the pregnancy of a female animal, there are changes in estrogen, progesterone and cortisol. At this time, the estrogen concentration, progesterone concentration and cortisol concentration at each examination can be determined by regularly checking the data. At this time, a model is designed and an algorithm related to the effect of hormones on drug resistance is given to the model. After obtaining the estrogen concentration, progesterone concentration and cortisol concentration at a certain moment, these parameters are input into the above model to obtain the effect of the current hormone changes on the basic drug resistance.

[0092] In the specific implementation method, the algorithm related to the above-mentioned hormone effect on drug resistance should consider whether the effect of each hormone on basic drug resistance is a linear relationship or a nonlinear relationship, and determine the corresponding calculation method based on this relationship. At the same time, a large amount of sample data is used to verify this relationship to ensure the accuracy of the algorithm.

[0093] S205. Determine the actual drug resistance of each supplementary antibiotic based on the impact of drug resistance; determine the best supplementary antibiotic and supplementary dosage to supplement the consumed physical energy based on the actual drug resistance and physical energy consumption.

[0094] The actual drug resistance can be the degree of bacterial resistance to antibiotics under current specific conditions (such as the physiological state, hormone levels, medication history, etc. of the breeding livestock).

[0095] The best supplemental antibiotic may be the most suitable antibiotic for the current reproductive female livestock after considering factors such as actual drug resistance, physical exertion, and infection risk.

[0096] The supplemental dosage may be the dose of antibiotic required to achieve the desired effect.

[0097] Specifically, based on the collected data and analysis results, the actual resistance of each supplemented antibiotic is calculated using a predefined resistance calculation formula. Based on the calculated actual resistance and physical energy consumption, an antibiotic combination that can meet the current health needs of reproductive animals is screened out. Taking into account the current infection risk, physical energy consumption, hormone levels and other factors of the animal, the optimal antibiotic selection is determined.

[0098] Through this solution, the physical sign data of fertile animals are continuously monitored through real-time data acquisition equipment. This real-time monitoring can identify changes in the health status of animals more timely, especially during production, to ensure timely intervention and reduce the occurrence of infections and other health problems; compared with traditional methods, it provides more accurate and dynamic monitoring methods, and improves the efficiency and accuracy of health management. Through the energy balance model, combined with real-time physical sign data, the physical energy consumption of fertile animals is accurately assessed, and an accurate energy supplement plan is provided, which overcomes the shortcomings of traditional methods that are mostly static health assessments and lack accurate quantification of the dynamic physical energy consumption of fertile animals during the production process, making energy supplementation more scientific, helping to maintain the physical fitness level of fertile animals and reduce the occurrence of postpartum fatigue and related complications. By analyzing the impact of hormone change levels on basic drug resistance, the hormone change levels are associated with basic drug resistance, making the antibiotic use strategy more personalized and accurate, especially in animal management during pregnancy, providing additional protection measures, making the drug resistance assessment more scientific. By comprehensively considering factors such as actual drug resistance, physical energy consumption, and hormone levels, the selection and dosage of antibiotics are dynamically optimized to ensure that the disease can be effectively treated without increasing the risk of drug resistance.

[0099] In some embodiments, the data acquisition device includes a motion tracking unit, which is arranged on the chest and / or limbs and / or head of the breeding animal to obtain the vital sign data of the breeding animal during the delivery period, including: controlling the motion tracking unit to obtain the activity amount and exercise form of the breeding animal during the delivery period; analyzing the activity amount and exercise form to determine the vital sign data of the breeding animal during the delivery period; the vital sign data includes at least one of real-time exercise heart rate data, real-time respiratory rate, and real-time body temperature; analyzing the vital sign data to determine the physical energy consumption of the breeding animal during the delivery period, including: comparing the real-time exercise heart rate data, real-time respiratory rate and real-time body temperature with corresponding baseline reference values, and determining the real-time exercise consumption of the breeding animal according to the comparison results; obtaining the growth data of the breeding animal to determine the physical condition of the breeding animal; and determining the physical energy consumption of the breeding animal during the delivery period according to the physical condition and real-time exercise consumption.

[0100] The motion tracking unit can be a sensor device installed on the chest and / or limbs and / or head of a breeding animal to monitor and record the animal's motion data in real time; it usually includes an accelerometer, a gyroscope, a heart rate sensor, a temperature sensor, etc.

[0101] Activity volume can be the total amount of physical activity performed by an animal over a period of time, usually measured by indicators such as number of steps, step frequency, and distance moved.

[0102] Movement form can refer to different movement patterns of breeding animals, such as walking, running, standing, lying down, etc.

[0103] Physical energy expenditure can be the energy consumed by breeding animals due to physiological activities such as movement, breathing and maintaining body temperature within a specific period of time.

[0104] The baseline reference value can be the physiological parameter value of the breeding female animal under normal conditions (such as resting state or healthy state), such as resting heart rate, normal respiratory rate and body temperature.

[0105] Growth data may be developmental indicators such as weight, body fat percentage, body length, etc. of breeding livestock at different growth stages.

[0106] Physical condition can be the overall health and physical condition of breeding female animals, including comprehensive indicators such as weight, body fat percentage, muscle mass, and nutritional status.

[0107] Specifically, the motion tracking unit begins to capture the activity and movement form of the breeding female livestock in real time. These data include but are not limited to the cadence, stride, direction and speed of the limbs, and the swing angle and frequency of the head; the collected data is immediately transmitted to the server for further analysis. In addition to the amount of exercise and the form of exercise, the motion tracking unit also integrates a heart rate monitor and a temperature sensor to record the exercise heart rate and body temperature of the breeding female livestock in real time; the respiratory rate can be captured by detecting the tiny surface displacement of the female livestock when breathing through a body surface sensor (such as a strain gauge or pressure sensor installed on the chest). Use signal processing algorithms (such as Fourier transform or wavelet analysis) to extract features from the motion sensor data and analyze the activity and movement form of the female livestock. Combined with the sensor data of the limbs and head, the three-dimensional motion trajectory and movement pattern of the female livestock are constructed; the real-time monitored exercise heart rate data, respiratory rate and body temperature are compared with the pre-established baseline reference value. By comparing the deviation between the actual data and the baseline value, the real-time exercise consumption of the breeding female livestock under different exercise forms and intensities is calculated. The exercise consumption of the female livestock is calculated using an energy balance model (such as a metabolic equivalent model based on oxygen consumption). These models use real-time heart rate, respiratory rate, body temperature and other data as input variables, and combine them with the form and intensity of exercise to output the calorie consumption and energy requirements of the female livestock; obtain the historical growth data of the breeding female livestock, combine them with the current real-time data, and conduct a comprehensive assessment of their physical condition; based on the physical condition and real-time exercise consumption, comprehensively evaluate the total physical energy consumption of the breeding female livestock during the production period.

[0108] Through this solution, real-time monitoring equipment is used to continuously collect data on the movement, heart rate, body temperature and other signs of reproductive animals. This real-time nature can quickly respond to changes in the health of the animals and avoid problems caused by delays or incomplete data. Real-time monitoring ensures that any abnormal situation can be captured immediately during the production process, allowing rapid intervention, significantly improving the accuracy and efficiency of animal management. Integrating multiple signs of data and conducting comprehensive analysis can more comprehensively reflect the physical condition and energy consumption of the animals. By analyzing the real-time heart rate, respiratory rate, body temperature and historical growth data of each reproductive animal, the physical consumption assessment of each animal is tailored. Personalized physical consumption assessment helps to provide more accurate nutritional supplements and drug use plans to ensure that each animal can complete the production process in the best health.

[0109] In some embodiments, the physical energy consumption of the dam during the delivery period is determined based on the physical condition and real-time exercise consumption, including: determining the weight of the dam before delivery based on the physical condition; obtaining the pregnancy data of the dam, analyzing the pregnancy data, determining the number of fetuses and the fetal growth changes, organ changes and hormone level changes in each preset time period; determining the energy requirements of the dam to maintain daily physiological functions during pregnancy based on the organ changes and hormone level changes; determining the daily growth rate of the fetus based on the fetal growth changes; calculating the basal metabolic rate of the dam based on the pre-delivery weight, number of fetuses, energy requirements and daily growth rate using the following formula (1); determining the activity metabolic rate based on the real-time exercise heart rate data, real-time respiratory rate and real-time exercise consumption; determining the physical energy consumption of the dam during the delivery period based on the activity metabolic rate, basal metabolic rate and real-time exercise heart rate data.

[0110] (1)

[0111] in, Indicates the basal metabolic rate of fertile female animals; It indicates the weight of the dam before giving birth; Indicates the effect of fetal growth on energy requirements; Indicates the number of fetuses; represents the daily growth rate; Indicates energy demand;

[0112] Pregnancy data can be all information and parameters related to the pregnancy of a fertile animal. These data include the number of fetuses, changes in the weight of the animal, changes in hormone levels, and the growth progress of the fetus.

[0113] Fetal growth changes can be the development process of the fetus during pregnancy, including fetal weight gain, organ development and other growth-related physiological changes.

[0114] Organ changes can be changes in the development of various organs of the fetus during pregnancy.

[0115] Hormone level changes can refer to the dynamic changes in the concentrations of key hormones (such as estrogen, progesterone, cortisol, etc.) in the body of pregnant animals.

[0116] Energy requirement can be defined as the total amount of energy required by a dam to maintain basic physiological functions, support fetal growth, and adapt to the body changes during pregnancy.

[0117] The daily growth rate of the fetus can be the daily increase in weight or volume of the fetus during the dam's gestation period.

[0118] The basal metabolic rate can be the minimum energy consumption required for breeding female animals to maintain basic physiological functions in a static state.

[0119] Activity metabolic rate refers to the energy consumed by breeding animals when performing various activities (such as walking, standing, lying down, etc.).

[0120] Specifically, obtain the weight of the dam before giving birth through regular weighing or historical data recording. Collect and record the pregnancy data of the dam, and determine the number of fetuses in the dam based on the pregnancy data; use the fetal growth model to determine the growth changes of the fetus in each preset time period, including volume increase and organ development; analyze the daily growth rate of the fetus, which is usually based on the development stage of the fetus and the health status of the dam; obtain and analyze the data on the changes in hormone levels of the dam during pregnancy, such as estrogen and progesterone. Combined with the changes in organs, determine the energy requirements required for the dam to maintain normal physiological functions during pregnancy.

[0121] The first part of formula (1) is the basal metabolic rate calculation formula based on the weight of the female animal: ; This part represents the basal metabolic rate of the fertile female animal under the basic condition of non-pregnancy (i.e., without the burden of additional fetuses). The formula used here is based on Kleiber's law, which indicates that the metabolic rate of an organism is proportional to the (0.75)th power of its body weight. This formula explains how the metabolic rate changes with body weight: the greater the body weight, the higher the metabolic rate, but the rate of increase is less than linear; The second part of formula (1) involves the relationship between the number of fetuses, the fetal growth rate, and the energy demand, expressing the additional increase in the energy demand of the female animal due to fetal growth; The outer "+1" represents the additional energy demand based on the basal metabolic rate. That is, the presence of the fetus will increase the basal metabolic rate of the female animal; The fetal energy demand factor is used to describe the specific impact of the growth of each fetus on the overall energy demand of the female animal. The more fetuses there are, the more significant the increase in energy demand. The daily mass of the fetus (usually weight gain) reflects its energy demand during growth and the relative relationship between the fetal growth rate and the daily energy demand of the female animal; Multiply the basal metabolic part by the fetal impact part to obtain the basal metabolic rate during pregnancy.

[0122] Through this solution, by combining the parameters of the mother's pre-delivery weight, number of fetuses, daily growth rate of the fetus, etc., the basal metabolic rate is accurately calculated using formula (1), and combined with real-time exercise heart rate, respiratory rate and exercise consumption data, a personalized energy demand assessment is obtained. Unlike traditional static data collection, this application uses real-time monitoring equipment (such as a motion tracking unit) to dynamically capture the heart rate, respiratory rate and exercise consumption data of the mother; especially during the production period, nutrition and management strategies can be adjusted in time to improve the health protection of the mother. Multiple physiological parameters (such as weight, number of fetuses, fetal growth rate, organ changes, hormone levels, etc.) are integrated and comprehensively analyzed through complex mathematical models (such as formula (1)). This enables a comprehensive assessment of the physical condition and energy needs of the mother.

[0123] In some embodiments, analyzing historical medication records to determine the basic drug resistance of each supplementary antibiotic includes: analyzing historical medication records to determine historical illness records of dams; determining changes in symptoms and medication of the dams each time they are sick based on the historical illness records; determining bacterial resistance caused by medication during the sick stage of the dams based on changes in symptoms, medication, and physical condition; obtaining feeding records of the dams, and determining whether the dams were fed antibiotics during the feeding process based on the feeding records; if so, predicting the feeding amount of the dams based on the feeding records; predicting the antibiotic metabolism of the dams based on the feeding amount and physical condition; and determining the basic drug resistance of each supplementary antibiotic based on the antibiotic metabolism and bacterial resistance.

[0124] Basal resistance can be either a natural resistance to a particular antibiotic or a level of resistance acquired through exposure to the antibiotic.

[0125] The historical illness record can be a detailed record of all past illnesses of the breeding female animal, including the type of illness, the time of occurrence, the progression of the illness, and the treatment methods and drugs used.

[0126] The change of symptoms may be the change of symptoms of the breeding female animal during the development of the disease, such as worsening or improvement of the disease, disappearance or aggravation of symptoms, etc.

[0127] Medication status can be detailed information on all medications used by the dam during the illness, including the type of medication, dosage, frequency of use, duration, and combination with other medications.

[0128] Bacterial resistance can be the resistance that bacteria develop to antibiotics during the illness stage.

[0129] The feeding record can be a record of the dam's diet, especially whether the diet contains antibiotic additives.

[0130] Antibiotic metabolism can refer to the absorption, distribution, metabolism and excretion process of antibiotics in reproductive animals.

[0131] Specifically, according to the medication recorded in each sick record, the frequency, dosage and course of each drug can be analyzed to determine the historical sick records of the dams. According to the information such as the time of disease occurrence, the type of symptoms, the type, dosage, frequency and duration of medication included in the sick record, the changes in symptoms can be determined. Combined with the dosage and duration of each medication, the exposure time and dosage of bacteria to specific antibiotics can be evaluated. Analyze the changes in symptoms after medication. If there is no significant improvement in symptoms after medication or the antibiotics need to be replaced or increased in subsequent treatment, bacterial resistance may exist. Collect the feeding records of dams and check whether there are cases where the dams are fed antibiotics through eating. If so, record the specific type of antibiotics and feeding dosage, estimate the amount of antibiotics ingested by the dams through eating through the feeding records, and use the dams' food intake and physical condition to predict the metabolic rate of antibiotics. The results of bacterial resistance analysis recorded in the historical medication process are comprehensively considered with the metabolism of antibiotics to determine the basic resistance of each antibiotic under different symptoms.

[0132] Through this solution, the antibiotic use history and bacterial resistance of reproductive females are comprehensively analyzed by integrating multiple data dimensions such as historical illness records, symptom changes, medication, feeding records, and antibiotic metabolism. This multi-dimensional analysis method can provide a more comprehensive and accurate resistance assessment. By analyzing the individualized data of each female animal (such as symptom changes, medication, physical condition, etc.), its specific resistance level is determined. This personalized assessment can help develop more accurate medication strategies and avoid one-size-fits-all treatment methods. By collecting feeding records and medication during the illness stage in real time, the intake and metabolism of antibiotics can be dynamically monitored, and potential bacterial resistance can be predicted. By analyzing the basic resistance of female animals to different antibiotics, the use of antibiotics can be optimized. The optimal type and dosage of medication can be determined through accurate resistance analysis, thereby improving the efficiency of antibiotic use.

[0133] In some embodiments, bacterial resistance caused by medication during the sick stage of a breeding female animal is determined based on changes in symptoms, medication conditions and physical conditions, including: determining the type of medication, dosage and time of medication used by the breeding female animal during the sick stage based on medication conditions; determining the progression of the disease at each medication stage based on medication time and changes in symptoms; determining the weight, body temperature and immune indexes of the breeding female animal during the sick stage based on the physical condition; determining the correlation between medication and changes in bacterial resistance based on the type of medication, dosage and progression of the disease at each medication stage; determining bacterial resistance caused by medication used during the sick stage of the breeding female animal based on the correlation, weight, body temperature and immune indexes.

[0134] Specifically, the medication process is divided into different stages (e.g., initial stage, mid-treatment stage, and late stage) according to medication time and dosage. The changes in symptoms and medication conditions at each medication stage are compared to evaluate the effectiveness of medication. For example, analyze whether there is significant improvement, no change, or worsening of symptoms after medication. Based on medication type, dosage, disease progression, and physical condition parameters, use statistical methods (e.g., regression analysis, time series analysis) to determine the correlation between medication and changes in bacterial resistance. Comprehensively consider factors such as medication conditions, disease progression, body weight, body temperature, and immune indicators to form a comprehensive assessment of bacterial resistance in reproductive females during the sick stage.

[0135] Through this solution, by dynamically monitoring changes in the disease, medication, and physical condition, the health status of dams can be tracked in real time, and medication strategies can be analyzed and adjusted based on real-time data. Multidimensional data (including medication type, dosage, time, disease changes, body weight, body temperature, immune indicators, etc.) is integrated to establish the relationship between medication and drug resistance through comprehensive analysis, providing a more comprehensive drug resistance assessment. The multidimensional data integration of this application can provide a deeper understanding of the formation mechanism of bacterial resistance and make more scientific judgments. This makes it possible to identify the development pattern of bacterial resistance after medication and provide early warning.

[0136] In some embodiments, predicting antibiotic metabolism of reproductive livestock based on food intake and physical condition includes: determining the real-time weight, real-time body fat percentage, and real-time metabolic rate of the reproductive livestock during the growth stage based on the physical condition; determining the amount of each feeding, the type of broad-spectrum antibiotics fed, the feeding dose, and the feeding frequency based on the feeding records; determining the intake of broad-spectrum antibiotics based on the food intake, feeding amount, feeding type, and feeding dose; predicting the antibiotic metabolism of the reproductive livestock after each meal based on the intake, real-time metabolic rate, real-time weight, feeding frequency, and real-time body fat percentage.

[0137] Broad-spectrum antibiotics are antibiotics that are effective against many different types of bacteria.

[0138] Specifically, the real-time body weight, real-time body fat percentage and real-time metabolic rate are determined according to the real-time physical condition data of the female livestock during the growth stage. According to the feeding records, the types and doses of broad-spectrum antibiotics contained in each feeding are determined, and the total amount of broad-spectrum antibiotics ingested by the female livestock in each feeding is calculated. The feeding amount is the total weight of each feeding, the feeding amount is the feeding ratio of the antibiotics, and the antibiotic concentration is the concentration of the broad-spectrum antibiotics in the feeding food. The real-time weight and real-time metabolic rate of the female livestock are used to determine the initial metabolic rate of the antibiotics. Generally speaking, the larger the weight, the lower the metabolic rate; and vice versa. The body fat percentage affects the distribution and metabolism of the drug. Generally, the higher the body fat percentage, the larger the distribution volume of the drug, and the metabolic rate may be reduced. Based on the above data, an antibiotic metabolism model is established; the input parameters of the model include: antibiotic intake, real-time weight, real-time body fat percentage, real-time metabolic rate, and feeding frequency. The output of the metabolic model is the antibiotic blood concentration and metabolic rate of the female livestock after each feeding.

[0139] Through this solution, by analyzing the real-time physical condition (including weight, body fat percentage, metabolic rate) and feeding situation of the female livestock in detail, the intake of antibiotics for each time can be accurately calculated and its metabolism in the body can be predicted. This accuracy helps to feed antibiotics at the right time and dosage, thereby improving the efficiency of drug use and the therapeutic effect. By accurately predicting the metabolism of antibiotics, excessive use of antibiotics can be avoided and unnecessary drug exposure can be reduced. This helps to reduce the risk of bacterial resistance, thereby extending the effective use period of antibiotics and ensuring long-term therapeutic effects. Real-time monitoring and prediction of antibiotic metabolism in female livestock can help farmers adjust feeding strategies in time to cope with changes in the health status of female livestock. This proactive management method can reduce the occurrence of diseases, improve the overall health level of female livestock, and thus improve the production efficiency and economic benefits of breeding. Real-time metabolic prediction allows farmers to flexibly adjust treatment plans according to the individual conditions of female livestock. For example, in the case of slow metabolism, the dosage can be reduced or the feeding interval can be extended to avoid drug accumulation and side effects.

[0140] In some embodiments, the basic resistance of each supplemental antibiotic is determined based on the antibiotic metabolism and bacterial resistance, and is calculated according to the following formula (2):

[0141] (2)

[0142] in, Indicates the basal resistance of each supplemented antibiotic; Indicates bacterial resistance; Indicates the antibiotic distribution volume obtained based on real-time body weight and real-time body fat percentage; Indicates feeding dosage; It represents the antibiotic absorption rate constant of the dam after each feeding according to the physical condition; It indicates the feeding cycle of antibiotics determined according to the feeding frequency; It represents the elimination rate of antibiotics in the corresponding feeding period of antibiotics; Indicates real-time metabolic rate; It indicates the sensitivity of drug exposure to basic drug resistance determined by feeding frequency, physical condition, and feeding dose; It indicates the effect of increasing or decreasing the feeding dose on sensitivity; Represents the adjustment factor.

[0143] Drug exposure can be the accumulation of antibiotic concentrations in the body of the dam over time.

[0144] The elimination rate of an antibiotic may refer to the rate at which the antibiotic is metabolized and excreted from the body.

[0145] The susceptibility of basic resistance can be the degree of sensitivity of bacteria to the tendency of antibiotics to develop resistance.

[0146] Specifically, the key part of the formula It represents the total amount of a dose exposed to bacteria in a specific period of time. The effect of exposure on basic resistance is measured by This part of the calculation describes the nonlinear effect of antibiotic exposure on the growth of resistance. It directly affects the persistence and concentration of the drug in the body, and thus affects the drug resistance of bacteria. Part of it is used to adjust the difference in drug resistance caused by changes in metabolic rate. Combining all the above influencing factors, the final basic drug resistance is obtained. This result combines the physiological state of the dam, the administration of antibiotics and the metabolic characteristics, reflecting the level of bacterial resistance that may be caused by antibiotics under specific conditions.

[0147] Through this scheme, the basic resistance of each supplementary antibiotic can accurately reflect the degree of bacterial resistance to the antibiotic used under specific conditions through formula calculation. This prediction helps farmers to identify situations that may lead to increased resistance in advance when using drugs, so as to take preventive measures. Because the calculation process takes into account the individual physiological characteristics of the female animal, such as real-time weight, body fat percentage, metabolic rate, etc., the basic resistance value obtained is highly personalized. This personalized calculation allows the formulation of a medication strategy based on the specific situation of each female animal. The formula calculation can help identify situations where the dosage is too high or too low in the use of antibiotics. By evaluating the sensitivity parameters, dosage influencing parameters and adjustment factors, the dosage and frequency of antibiotic use can be optimized, thereby reducing unnecessary antibiotic exposure and reducing the risk of bacterial resistance development. Because the formula integrates the real-time metabolic rate and other dynamic factors, the calculated basic resistance value can reflect the current physiological state of the female animal.

[0148] In some embodiments, the drug exposure is determined based on the feeding frequency, physical condition, and feeding dose, and is calculated according to the following formula (3):

[0149] (3)

[0150] in, It indicates the drug exposure; It indicates the feeding cycle of antibiotics determined according to the feeding frequency; Indicates feeding dosage; It represents the antibiotic absorption rate constant of the dam after each feeding according to the physical condition; Indicates the antibiotic distribution volume obtained based on real-time body weight and real-time body fat percentage; It represents the elimination rate of antibiotics in the corresponding feeding period of antibiotics; Represents a continuous time variable, indicating the time course of the drug after it enters the body.

[0151] Specifically, formula (3) calculates the time Time During this period, the product of the change in antibiotic concentration in the body and time is used to obtain the drug exposure during the entire period. The distribution volume of the antibiotic is calculated to reflect the distribution of the drug in the body. The feeding dose and the absorption rate constant of the antibiotic indicate the initial concentration of the drug entering the body. Reflects the elimination process of drugs in the body, which is determined by the elimination rate constant Decide over time The drug concentration gradually decreases with the increase of The concentration of the drug in the body is integrated over the entire period of time. The result of the integration is the total exposure of the drug over the entire period of time, reflecting the total exposure of the drug from absorption into the body to elimination from the body. A larger AUC value usually means a high drug concentration and a long duration, which may lead to better therapeutic effects or a higher risk of drug resistance.

[0152] Through this scheme, the total concentration of the drug in the body over time is calculated by integration. , can accurately assess the total exposure of antibiotics in the body of the female animal during a specific feeding cycle. This helps to ensure the efficacy and safety of the drug. The value can help optimize the antibiotic feeding strategy to ensure that the drug maintains an appropriate concentration in the body of the dam. It helps to avoid side effects or drug resistance caused by excessive or insufficient drug while ensuring the therapeutic effect. Since the parameters in the formula can be adjusted individually according to the specific physical condition of the dam, the calculated The values ​​reflect the individual differences of each female animal, thus supporting the development of personalized treatment plans. This approach ensures that each female animal receives the antibiotic treatment that best suits its physiological state. By precisely controlling drug exposure, the chance of bacteria being exposed to sub-inhibitory concentrations of antibiotics can be reduced, reducing the selection pressure for resistant strains, thereby effectively managing the risk of antibiotic resistance. The calculation provides a scientific basis for decision-making on the use of antibiotics. Farmers can rely on these data to make reasonable feeding decisions, rather than relying on experience or trial, to ensure the effectiveness and safety of medication.

[0153] Figure 3 A schematic diagram of a real-time monitoring device for monitoring bacterial resistance provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the real-time monitoring device 300 of this embodiment includes: a consumption analysis module 301 , an antibiotic determination module 302 , a basic drug resistance analysis module 303 , and a drug resistance impact analysis module 304 .

[0154] The consumption analysis module 301 is used to obtain the physical sign data of the fertile animal during the fertility period, analyze the physical sign data, and determine the physical energy consumption of the fertile animal during the fertility period;

[0155] The antibiotic determination module 302 is used to determine a number of supplementary antibiotics according to the physical energy consumption;

[0156] The basic drug resistance analysis module 303 is used to obtain the historical drug use records of the fertile livestock, analyze the historical drug use records, and determine the basic drug resistance of each supplementary antibiotic;

[0157] The drug resistance impact analysis module 304 is used to obtain the changes in hormone levels of fertile livestock during pregnancy, analyze the changes in hormone levels, and determine the impact of the changes in hormone levels on basic drug resistance based on the change analysis results;

[0158] The antibiotic selection module 305 is used to determine the actual drug resistance of each supplementary antibiotic according to the drug resistance impact; and determine the best supplementary antibiotic and supplementary dosage to supplement the consumed physical energy according to the actual drug resistance and physical energy consumption.

[0159] Optionally, the data acquisition device includes a motion tracking unit, which is arranged on the chest and / or limbs and / or head of the breeding animal. When the consumption analysis module 301 obtains the vital signs data of the breeding animal during the delivery period, it is used to: control the motion tracking unit to obtain the activity amount and exercise form of the breeding animal during the delivery period; analyze the activity amount and exercise form to determine the vital signs data of the breeding animal during the delivery period; the vital signs data include at least one of real-time exercise heart rate data, real-time respiratory rate, and real-time body temperature; analyze the vital signs data to determine the physical energy consumption of the breeding animal during the delivery period, including: comparing the real-time exercise heart rate data, real-time respiratory rate and real-time body temperature with corresponding baseline reference values, and determining the real-time exercise consumption of the breeding animal according to the comparison results; obtain the growth data of the breeding animal to determine the physical condition of the breeding animal; determine the physical energy consumption of the breeding animal during the delivery period according to the physical condition and real-time exercise consumption.

[0160] Optionally, when the consumption analysis module 301 determines the physical energy consumption of the breeding female animal during the production period according to the physical condition and real-time exercise consumption, it is used to: determine the weight of the breeding female animal before production according to the physical condition; obtain the pregnancy data of the breeding female animal, analyze the pregnancy data, determine the number of fetuses and the growth changes, organ changes and hormone level changes of the fetuses in each preset time period; determine the energy requirements of the breeding female animal to maintain daily physiological functions during pregnancy according to the organ changes and hormone level changes; determine the daily growth rate of the fetus according to the growth changes of the fetus; calculate the basal metabolic rate of the breeding female animal according to the weight before production, the number of fetuses, the energy requirements and the daily growth rate through the following formula:

[0161] ;

[0162] in, Indicates the basal metabolic rate of fertile female animals; It indicates the weight of the dam before giving birth; Indicates the effect of fetal growth on energy requirements; Indicates the number of fetuses; represents the daily growth rate; Indicates energy demand;

[0163] The activity metabolic rate is determined based on the real-time exercise heart rate data, real-time respiratory rate and real-time exercise consumption; the physical energy consumption of the breeding livestock during the production period is determined based on the activity metabolic rate, basal metabolic rate and real-time exercise heart rate data.

[0164] Optionally, the basic drug resistance analysis module 303 is used to: analyze historical medication records to determine historical illness records of dams; determine the changes in symptoms and medication of the dams each time they are sick based on the historical illness records; determine the bacterial resistance caused by medication during the sick stage of the dams based on the changes in symptoms, medication and physical condition; obtain the feeding records of the dams, and determine whether the dams have been fed antibiotics during the feeding process based on the feeding records; if so, predict the feeding amount of the dams based on the feeding records; predict the antibiotic metabolism of the dams based on the feeding amount and physical condition; and determine the basic resistance of each supplementary antibiotic based on the antibiotic metabolism and bacterial resistance.

[0165] Optionally, when the basic drug resistance analysis module 303 determines the bacterial resistance caused by medication during the sick stage of the breeding livestock based on the changes in symptoms, medication conditions and physical conditions, it is used to: determine the type of medication, dosage and time of medication used by the breeding livestock during the sick stage based on the medication conditions; determine the progression of the disease at each medication stage based on the medication time and changes in symptoms; determine the weight, body temperature and immune indexes of the breeding livestock during the sick stage based on the physical condition; determine the correlation between medication and changes in bacterial resistance based on the type of medication, dosage and progression of the disease at each medication stage; determine the bacterial resistance caused by medication used during the sick stage of the breeding livestock based on the correlation, weight, body temperature and immune indexes.

[0166] Optionally, the basic drug resistance analysis module 303 is used to: determine the real-time weight, real-time body fat percentage, and real-time metabolic rate of the female livestock during the growth stage according to the physical condition; determine the feeding amount for each feeding, the feeding type, feeding dosage, and feeding frequency of the broad-spectrum antibiotics fed according to the feeding records; determine the intake of broad-spectrum antibiotics according to the feeding amount, feeding amount, feeding type, and feeding dosage; predict the antibiotic metabolism of the reproductive female livestock after each feeding according to the intake, real-time metabolic rate, real-time weight, feeding frequency, and real-time body fat percentage.

[0167] Optionally, the basic drug resistance analysis module 303 determines the basic drug resistance of each supplementary antibiotic according to the antibiotic metabolism and bacterial resistance, and calculates according to the following formula:

[0168] ;

[0169] in, Indicates the basal resistance of each supplemented antibiotic; Indicates bacterial resistance; Indicates the antibiotic distribution volume obtained based on real-time body weight and real-time body fat percentage; Indicates feeding dosage; It represents the antibiotic absorption rate constant of the dam after each feeding according to the physical condition; It indicates the feeding cycle of antibiotics determined according to the feeding frequency; It represents the elimination rate of antibiotics in the corresponding feeding period of antibiotics; Indicates real-time metabolic rate; It indicates the sensitivity of drug exposure to basic drug resistance determined by feeding frequency, physical condition, and feeding dose; It indicates the effect of increasing or decreasing the feeding dose on sensitivity; Represents the adjustment factor.

[0170] Optionally, the basic drug resistance analysis module 303 determines the drug exposure according to the feeding frequency, physical condition, and feeding dosage, and calculates it according to the following formula:

[0171] ;

[0172] in, It indicates the drug exposure; It indicates the feeding cycle of antibiotics determined according to the feeding frequency; Indicates feeding dosage; It represents the antibiotic absorption rate constant of the dam after each feeding according to the physical condition; Indicates the antibiotic distribution volume obtained based on real-time body weight and real-time body fat percentage; It represents the elimination rate of antibiotics in the corresponding feeding period of antibiotics; Represents a continuous time variable, indicating the time course of the drug after it enters the body.

[0173] The device of this embodiment can be used to execute the method of any of the above embodiments. The implementation principle and technical effects are similar and will not be described in detail here.

Claims

1. A real-time monitoring method for bacterial resistance monitoring, characterized in that: The real-time monitoring method is applied to a drug resistance monitoring device, which includes a server and a data acquisition device. The real-time monitoring method is applied to the server, and the method includes: Acquiring physical sign data of the fertile animal during the fertility period, analyzing the physical sign data, and determining the physical energy consumption of the fertile animal during the fertility period; Determine a number of supplemental antibiotics based on the physical exertion described; Obtaining historical medication records of the fertile livestock, analyzing the historical medication records, and determining the basic drug resistance of each supplemental antibiotic; Obtaining changes in hormone levels of the fertile female animal during pregnancy, analyzing the changes in hormone levels, and determining the effects of the changes in hormone levels on the basic drug resistance based on the change analysis results; According to the drug resistance impact, determine the actual drug resistance of each supplementary antibiotic; according to the actual drug resistance and the physical energy consumption, determine the best supplementary antibiotic and supplementary dosage to supplement the consumed physical energy; The data acquisition device includes a motion tracking unit, which is arranged on the chest and / or limbs and / or head of the fertile animal. The method of obtaining the vital sign data of the fertile animal during the production period includes: Controlling the motion tracking unit to obtain the activity amount and motion form of the fertile animal during the production period; Analyzing the activity amount and the exercise form to determine the physical sign data of the breeding female animal during the production period; The physical sign data includes at least one of real-time exercise heart rate data, real-time respiratory rate, and real-time body temperature; analyzing the physical sign data to determine the physical energy consumption of the fertile livestock during the production period includes: Comparing the real-time exercise heart rate data, the real-time respiratory rate and the real-time body temperature with corresponding baseline reference values, and determining the real-time exercise consumption of the breeding female animal according to the comparison results; Acquire the growth data of the breeding stock to determine the physical condition of the breeding stock; determine the physical energy consumption of the breeding stock during the production period according to the physical condition and the real-time exercise consumption; The step of determining the physical energy consumption of the breeding female animal during the production period according to the physical condition and the real-time exercise consumption includes: Determining the weight of the fertile female livestock before giving birth based on the physical condition; Obtaining pregnancy data of the fertile female animal, analyzing the pregnancy data, determining the number of fetuses and changes in fetal growth, organ changes, and hormone levels during each preset time period; Determining the energy requirement of the fertile animal to maintain daily physiological functions during pregnancy based on the organ changes and the hormone level changes; determining the daily growth rate of the fetus based on the fetal growth changes; The basal metabolic rate of the fertile female animal is calculated according to the pre-delivery weight, the number of fetuses, the energy requirement and the daily growth rate by the following formula: ； in, Indicates the basal metabolic rate of the fertile female animal; Indicates the weight of the fertile female animal before giving birth; Indicates the effect of fetal growth on energy requirements; indicates the number of fetuses; represents said daily growth rate; representing said energy requirement; Determine the activity metabolic rate according to the real-time exercise heart rate data, the real-time breathing frequency and the real-time exercise consumption; Determining the physical energy consumption of the fertile animal during the production period according to the active metabolic rate, the basal metabolic rate and the real-time exercise heart rate data; The analysis of the historical medication records to determine the basic resistance of each supplemental antibiotic includes: Analyze the historical medication records to determine the historical illness records of the fertile livestock; According to the historical illness records, determine the changes in symptoms and medication used by the brooding animal each time it becomes ill; Determine the bacterial resistance caused by medication used during the sick stage of the breeding female animal according to the symptom changes, medication use and physical condition; Obtaining the feeding record of the dam, and determining whether the dam was fed antibiotics during feeding according to the feeding record; If so, predicting the food intake of the fertile female livestock according to the food intake record; predicting the antibiotic metabolism of the fertile female animal according to the food intake and the physical condition; Determine the basic resistance of each supplementary antibiotic according to the antibiotic metabolism and the bacterial resistance; According to the antibiotic metabolism and the bacterial resistance, the basic resistance of each supplementary antibiotic is determined and calculated according to the following formula: ； in, Indicates the basal resistance of each supplemented antibiotic; Indicates the drug resistance of the bacteria; represents the antibiotic distribution volume obtained according to the real-time body weight and the real-time body fat percentage; Indicates feeding dosage; represents the antibiotic absorption rate constant of the fertile female animal after each feeding obtained according to the physical condition; It indicates the feeding cycle of antibiotics determined according to the feeding frequency; It represents the elimination rate of antibiotics in the corresponding feeding period of antibiotics; Indicates real-time metabolic rate; Indicates the sensitivity of the drug exposure to the basic drug resistance determined according to the feeding frequency, the physical condition, and the feeding dose; Indicates the effect of increasing or decreasing the feeding dose on the sensitivity; represents the adjustment factor; The drug exposure is determined based on the feeding frequency, the physical condition, and the feeding dose, and is calculated according to the following formula: ； in, represents the exposure to the drug; Indicates the feeding cycle of antibiotics determined according to the feeding frequency; Indicates the feeding dosage; represents the antibiotic absorption rate constant of the fertile female animal after each feeding obtained according to the physical condition; Indicates the antibiotic distribution volume obtained based on real-time body weight and real-time body fat percentage; It represents the elimination rate of antibiotics in the corresponding feeding period of antibiotics; Represents a continuous time variable, indicating the time course of the drug after it enters the body.

2. The method according to claim 1, characterized in that The method of determining the bacterial resistance caused by medication during the sick stage of the fertile livestock according to the symptom changes, medication conditions and physical condition includes: Determine the type, dosage and time of medication for the brooding animal during the sick stage according to the medication situation; Determine the progression of the disease at each medication stage based on the medication time and the changes in the symptoms; Determining the weight, body temperature and immune index of the fertile animal during the sick stage according to the physical condition; Determine the correlation between medication and changes in bacterial resistance based on the medication type, medication dosage, and disease progression at each medication stage; The bacterial resistance caused by medication during the sick stage of the breeding female animal is determined based on the correlation, the body weight, the body temperature and the immune index.

3. The method according to claim 1, characterized in that The method of predicting the antibiotic metabolism of the fertile livestock according to the food intake and the physical condition includes: Determining the real-time weight, real-time body fat percentage, and real-time metabolic rate of the female animal during the growth stage according to the physical condition; According to the feeding record, determine the feeding amount, feeding type, feeding dosage and feeding frequency of each feeding; Determining the intake of the broad-spectrum antibiotic according to the food intake, the feeding amount, the feeding type and the feeding dosage; The antibiotic metabolism of the fertile animal after each feeding is predicted according to the intake, the real-time metabolic rate, the real-time body weight, the feeding frequency and the real-time body fat percentage.

4. A real-time monitoring device for bacterial resistance monitoring, characterized in that: The method as claimed in any one of claims 1 to 3 comprises: The consumption analysis module is used to obtain the physical sign data of the fertile animal during the fertility period, analyze the physical sign data, and determine the physical energy consumption of the fertile animal during the fertility period; An antibiotic determination module, used for determining a number of supplementary antibiotics according to the physical energy consumption; A basic drug resistance analysis module, used to obtain the historical drug use records of the fertile livestock, analyze the historical drug use records, and determine the basic drug resistance of each supplementary antibiotic; A drug resistance impact analysis module, used to obtain the changes in hormone levels of the fertile livestock during pregnancy, analyze the changes in hormone levels, and determine the drug resistance impact of the changes in hormone levels on the basic drug resistance based on the change analysis results; The antibiotic selection module is used to determine the actual drug resistance of each supplementary antibiotic according to the drug resistance impact; and determine the best supplementary antibiotic and supplementary dosage to supplement the consumed physical energy according to the actual drug resistance and the physical energy consumption.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program; when the computer program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

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