Rapid detection system for porcine intestinal coronavirus

Abstract

The invention relates to the technical field of live pig detection, and particularly discloses a pig intestinal coronavirus rapid detection system, which comprises a live pig data extraction module, a live pig data analysis module, a live pig data judgment module, a house data acquisition module and a house data analysis module, the method comprises the following steps: setting a monitoring period, and extracting basic parameters of each live pig in a target house corresponding to each monitoring day in the monitoring period according to a monitoring instrument arranged in the target house; performing comprehensive evaluation to obtain a state abnormity index of each live pig in the target house corresponding to each monitoring day; collecting house environment data of each live pig in the target house on each monitoring day in the corresponding monitoring period according to automatic sampling equipment; according to the method, the house environment data of each live pig in the target house on each monitoring day in the corresponding monitoring period is comprehensively analyzed, the infection probability of each live pig in the target house on each monitoring day is analyzed, and the sick live pigs in the target house are screened out, so that the health condition of each live pig can be mastered in real time, and the abnormal state of the live pig can be found in time.

Description

Technical Field

[0001] The invention belongs to the technical field of pig detection and relates to a rapid detection system for pig intestinal coronavirus. Background Art

[0002] Porcine enteric coronavirus (PEC) is of great significance in the pig industry. This virus can cause severe intestinal diseases and affect the growth and production performance of pigs. At the same time, porcine enteric coronavirus mainly includes porcine epidemic diarrhea virus (PEDV), porcine transmissible gastroenteritis virus (TGEV) and porcine deltacoronavirus (PDCoV). These viruses can cause diarrhea, vomiting, dehydration and high mortality in pigs, especially for piglets and sows.

[0003] Current technology for the detection of porcine enteric coronaviruses mainly relies on chemical assays, such as reverse transcription polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA). Chemical assays usually require complex experimental equipment and a specialized laboratory environment. This means that in areas with limited resources or on small farms, it may be difficult to conduct these tests.

[0004] Secondly, chemical assays often take a long time to obtain results. For RT-PCR, steps such as sample processing, RNA extraction, reverse transcription, and amplification all take time, which may lead to delays in test results. This delay may affect the timeliness and effectiveness of epidemic control during a virus outbreak. Summary of the invention

[0005] In view of the above problems existing in the prior art, the present invention provides a rapid detection system for porcine enteric coronavirus to solve the above technical problems.

[0006] In order to achieve the above purpose and other purposes, the technical solution adopted by the present invention is as follows: The present invention provides a rapid detection system for porcine intestinal coronavirus, comprising a live pig data extraction module, a live pig data analysis module, a live pig data judgment module, a pen data collection module and a pen data analysis module, wherein the above modules are connected by wired and / or wireless connection to achieve data transmission between the modules; Pig data extraction module: used to set the monitoring period, and extract the basic parameters of each pig in the target pen on each monitoring day during the monitoring period according to the monitoring instruments deployed in the target pen; Pig data analysis module: analyzes the basic parameters of each pig in the target pen on each monitoring day, and comprehensively evaluates the abnormal status index of each pig in the target pen on each monitoring day; Pig data judgment module: Analyze and judge based on the abnormal status index of each pig in the target pen corresponding to each monitoring day; Pen data collection module: collects pen environmental data of each pig in the target pen on each monitoring day during the corresponding monitoring period based on the automatic sampling equipment; Pen data analysis module: Comprehensively analyze the pen environmental data of each pig in the target pen on each monitoring day during the monitoring period, analyze the infection probability of each pig in the target pen on each monitoring day, and then screen out the diseased pigs in the target pen.

[0007] Exemplarily, the basic parameters of each pig in the target pen on each monitoring day during the monitoring period include the total amount of diarrhea, the average individual temperature, and the total amount of food intake.

[0008] Exemplarily, the total amount of diarrhea of ​​each pig in the target pen on each monitoring day during the corresponding monitoring period is extracted, and the specific process is as follows: According to the monitoring instruments arranged in the target pen, the monitoring video of each monitoring day in the corresponding monitoring period of the target pen is obtained; the monitoring video is preprocessed, and the background in the target pen and the pigs in the target pen are separated by the background modeling method simultaneously; Using a target detection algorithm to detect each pig in the monitoring video, using a target tracking algorithm to track each pig in the target pen, and obtaining the position of each pig in the target pen corresponding to each monitoring time point on each monitoring day; Use image processing and computer vision technology to identify the time points at which diarrhea events occurred for each pig in the target pen on each monitoring day , ZL is the frame rate of the monitoring video of the target enclosure on each monitoring day during the monitoring period, is the frame number of the i-th diarrhea event in the c-th pig in the target pen corresponding to the j-th monitoring day in the corresponding monitoring video, c is the number of each pig in the target pen, c=1,2,...C; j is the number of each monitoring day, j=1,2,...J, i is the number of each diarrhea event, i=1,2,... ; The monitoring time points of each diarrhea event occurring in each pig in the target pen on each monitoring day are marked in the monitoring video, and the time points are overlapped with the positions of each monitoring time point of each pig in the target pen on each monitoring day, so as to obtain the diarrhea area of ​​each diarrhea event occurring in each pig in the target pen on each monitoring day; Using image segmentation technology, the total number of pixels corresponding to the diarrhea area of ​​each pig in the target pen corresponding to each diarrhea event on each monitoring day is obtained. ; The pixel width of the image in the monitoring video and image pixel height ; Based on this, the estimated diarrhea area corresponding to each diarrhea event in each pig in the standard pen on each monitoring day is calculated , and Respectively represent the actual width and actual height corresponding to the camera's viewing angle; Then through the formula Calculate the expected diarrhea fluid thickness of the diarrhea area corresponding to the i-th diarrhea event of the c-th pig in the target pen corresponding to the j-th monitoring day , is the set liquid characteristic constant; Finally, the total amount of diarrhea of ​​each pig in the target pen on each monitoring day during the corresponding monitoring period is obtained. .

[0009] Exemplarily, the individual temperature average of each pig in the target pen on each monitoring day during the corresponding monitoring period is extracted, and the specific process is as follows: According to the monitoring instruments deployed in the target pens, the infrared temperature of each pig in the target pens at each monitoring time point on each monitoring day is collected; the outdoor temperature, outdoor humidity, indoor temperature and indoor humidity of the pens at each monitoring time point on each monitoring day are collected simultaneously; Based on the position of each pig in the target pen at each monitoring time point on each monitoring day and the position of the infrared equipment in the target pen, the position angle coefficient and position angle function of the position of each pig in the target pen at each monitoring time point on each monitoring day corresponding to the position of the infrared equipment are obtained; The infrared temperature of each pig in the target pen at each monitoring time point on each monitoring day Perform temperature calibration to obtain the calibrated infrared temperature of each pig in the target pen at each monitoring time point on each monitoring day. , They represent the predefined calibration coefficients respectively, d is the number of each monitoring time point, d=1,2,...D; Calculate the mean individual temperature of each pig in the target pen on each monitoring day during the corresponding monitoring period , are the indoor temperature, outdoor temperature, indoor humidity and outdoor humidity of the pen at the dth monitoring time point on the jth monitoring day; are the position angle coefficient and position angle function of the position of the infrared device corresponding to the position of the cth pig in the target pen at the dth monitoring time point on the jth monitoring day, respectively. are the indoor and outdoor temperature difference influence coefficient and humidity difference influence coefficient at the dth monitoring time point on the jth monitoring day, respectively, and D is the total number of monitoring time points.

[0010] Exemplarily, the position angle coefficient and position angle function of the position of each pig in the target pen corresponding to each monitoring time point on each monitoring day corresponding to the position of the infrared device are obtained, including: Get the location coordinates of the infrared equipment in the target enclosure And the position coordinates of each pig corresponding to each monitoring time point on each monitoring day ; Calculate the distance between the position of each pig in the target pen at each monitoring time point on each monitoring day and the position of the infrared device ; Calculate the relative pitch angle of the infrared device position corresponding to the position of each pig in the target pen at each monitoring time point on each monitoring day and the relative yaw angle ; Then the position angle coefficient of each pig in the target pen corresponding to each monitoring time point on each monitoring day corresponds to the position of the infrared device Expressed as , k4, k5 and k6 are all predefined calculation empirical coefficients; Finally, the position angle function of each pig in the target pen corresponding to each monitoring time point on each monitoring day and corresponding to the position of the infrared device is obtained. , are the empirical coefficients of the fitting.

[0011] Exemplarily, the total amount of food intake of each pig in the target pen on each monitoring day during the corresponding monitoring period is extracted, and the specific process is as follows: The behavior recognition algorithm and the target tracking algorithm are used to identify the eating time point and the end eating time point of each pig corresponding to each feeding in each monitoring day; Based on the image recognition technology, the estimated total amount of feed in the trough at each feeding time point of each pig on each monitoring day and the estimated total amount of feed remaining in the trough at the end of feeding time point are obtained, and the difference is calculated to obtain the feed intake of each pig on each feeding time on each monitoring day; The amount of food consumed by each pig on each monitoring day is summed up to obtain the total amount of food consumed by each pig in the target pen on each monitoring day during the monitoring period.

[0012] Exemplarily, the abnormal status index of each pig in the target pen corresponding to each monitoring day is obtained through comprehensive evaluation. The specific evaluation process is as follows: Obtain the total amount of diarrhea of ​​each pig in the target pen on each monitoring day during the corresponding monitoring period , individual temperature mean and total food intake ; Calculate the possible infection index of each pig corresponding to each monitoring day , are the total diarrhea, individual temperature mean, and total food intake of the cth pig on the j-1th monitoring day, are the total diarrhea, individual temperature mean, and total food intake of the cth pig on the j+1th monitoring day. are the set weight coefficients respectively, and C is the total number of monitoring days; Comprehensive evaluation to obtain the abnormal status index of each pig in the target pen corresponding to each monitoring day , The abnormal status permission threshold is set.

[0013] Exemplarily, the pen environmental data of each pig in the target pen on each monitoring day during the monitoring period includes ventilation density, feed quality and pig density.

[0014] For example, the infection probability of each pig in the target pen corresponding to each monitoring day is analyzed, and the specific analysis logic is: Randomly select a monitoring day as the target analysis monitoring day from the pen environment data of each pig in the target pen during each monitoring period, and obtain the ventilation density V, feed quality F and pig density U on the target analysis monitoring day; Let G be the status value of pigs infected with coronavirus, where G takes the value of 1 or 0, 1 means infected, and 0 means uninfected, thus constructing the Bayesian network for each pig corresponding to the target analysis monitoring day ; The prior probability of each pig being infected with coronavirus on the target analysis monitoring day is , then the prior probability that pigs are not infected with coronavirus is ; The joint probability of coronavirus infection for each pig on the target analysis monitoring day is calculated ; Calculate the joint probability that each pig is not infected with coronavirus on the target analysis monitoring day ; Calculate the probability of ventilation, feed quality, and pig density occurring simultaneously under all possible infection conditions for each pig on the target analysis monitoring day = × + × ; Comprehensively calculate the infection probability of each pig corresponding to the target analysis monitoring day corresponding to ventilation density, feed quality and pig density ; This analysis method can then be used to obtain the infection probability of each pig in the target pen on each monitoring day.

[0015] Exemplarily, the screening logic for screening out diseased pigs in the target pen is: Weights Q1 and Q2 are assigned to the status anomaly index and infection probability respectively; The comprehensive index value of each pig in the target pen is calculated from this , is the infection probability of the cth pig in the target pen corresponding to the jth monitoring day; The comprehensive index value of each pig in the target pen With threshold For comparison, if , then the cth pig is determined to be infected with the coronavirus.

[0016] As described above, the rapid detection system for porcine enteric coronavirus provided by the present invention has at least the following beneficial effects: (1) The present invention provides a rapid detection system for porcine enteric coronavirus. By setting the monitoring period and using monitoring instruments to obtain the basic parameters of pigs, the health status of each pig can be monitored in real time. By comprehensively evaluating these data, abnormal conditions of pigs can be discovered in a timely manner. Compared with traditional manual inspections, it is more timely and accurate, and can detect potential problems in the early stages of the disease, so that effective measures can be taken to intervene and prevent the spread of the disease.

[0017] (2) The present invention helps to accurately screen out diseased pigs and reduce misjudgments and missed judgments. Traditional disease screening methods often rely on experience and intuitive judgment, which are prone to misjudgments and missed judgments. However, through a data-driven approach, scientific analysis can be performed based on objective data to screen out truly diseased pigs. This can not only improve the accuracy of disease prevention and control, but also avoid unnecessary isolation and treatment, saving resources and costs.

[0018] (3) The present invention sets a monitoring period, uses monitoring instruments to obtain basic parameters of pigs, comprehensively evaluates the abnormal status index, and analyzes it in combination with the pen environment data to screen out diseased pigs. This method not only improves the efficiency and accuracy of disease monitoring and prevention and control, but also has important practical significance and promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0020] Figure 1 It is a schematic diagram of the connection of various modules of the system of the present invention. DETAILED DESCRIPTION

[0021] The above contents in combination with the implementation of the present invention are merely examples and explanations of the concept of the present invention. The technical personnel in the relevant technical field may make various modifications or supplements to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0022] Example 1 See also Figure 1 As shown, a rapid detection system for porcine enteric coronavirus includes a pig data extraction module, a pig data analysis module, a pig data judgment module, a pen data collection module and a pen data analysis module, wherein the above modules are connected by wired and / or wireless connection to realize data transmission between the modules; Pig data extraction module: used to set the monitoring period, and extract the basic parameters of each pig in the target pen on each monitoring day during the monitoring period according to the monitoring instruments deployed in the target pen; In pig farming, there is a type of breeding facility called a small pen, which is specially used for small-scale enclosure. This small pen is usually about 10 square meters in area, equipped with a feed trough with a length of 1.5-2.0 meters, and a sunny playground. Each pen can house 3-5 weaned sows. This design is intended to provide a more refined breeding environment to meet the management needs of specific pig groups, such as sows returning to estrus or dystocia, which need to be raised and managed in small pens.

[0023] In one possible design, the basic parameters for each pig in the target pen on each monitoring day during the monitoring period include the total amount of diarrhea, the average individual temperature, and the total amount of food consumed.

[0024] In one possible design, the total amount of diarrhea for each pig in the target pen on each monitoring day during the corresponding monitoring period is extracted, and the specific process is as follows: According to the monitoring instruments arranged in the target pen, the monitoring video of each monitoring day in the corresponding monitoring period of the target pen is obtained; the monitoring video is preprocessed, and the background in the target pen and the pigs in the target pen are separated by the background modeling method simultaneously; Using a target detection algorithm to detect each pig in the monitoring video, using a target tracking algorithm to track each pig in the target pen, and obtaining the position of each pig in the target pen corresponding to each monitoring time point on each monitoring day; Use image processing and computer vision technology to identify the time points at which diarrhea events occurred for each pig in the target pen on each monitoring day , ZL is the frame rate of the monitoring video of the target enclosure on each monitoring day during the monitoring period, is the frame number of the i-th diarrhea event in the c-th pig in the target pen corresponding to the j-th monitoring day in the corresponding monitoring video, c is the number of each pig in the target pen, c=1,2,...C; j is the number of each monitoring day, j=1,2,...J, i is the number of each diarrhea event, i=1,2,... ; The monitoring time points of each diarrhea event occurring in each pig in the target pen on each monitoring day are marked in the monitoring video, and the time points are overlapped with the positions of each monitoring time point of each pig in the target pen on each monitoring day, so as to obtain the diarrhea area of ​​each diarrhea event occurring in each pig in the target pen on each monitoring day; Using image segmentation technology, the total number of pixels corresponding to the diarrhea area of ​​each pig in the target pen corresponding to each diarrhea event on each monitoring day is obtained. ; The pixel width of the image in the monitoring video and image pixel height ; Based on this, the estimated diarrhea area corresponding to each diarrhea event in each pig in the standard pen on each monitoring day is calculated , and Respectively represent the actual width and actual height corresponding to the camera's viewing angle; Then through the formula Calculate the expected diarrhea fluid thickness of the diarrhea area corresponding to the i-th diarrhea event of the c-th pig in the target pen corresponding to the j-th monitoring day , is the set liquid characteristic constant; Finally, the total amount of diarrhea of ​​each pig in the target pen on each monitoring day during the corresponding monitoring period is obtained. .

[0025] In one possible design, the mean individual temperature of each pig in the target pen on each monitoring day during the corresponding monitoring period is extracted. The specific process is as follows: According to the monitoring instruments deployed in the target pens, the infrared temperature of each pig in the target pens at each monitoring time point on each monitoring day is collected; the outdoor temperature, outdoor humidity, indoor temperature and indoor humidity of the pens at each monitoring time point on each monitoring day are collected simultaneously; Based on the position of each pig in the target pen at each monitoring time point on each monitoring day and the position of the infrared equipment in the target pen, the position angle coefficient and position angle function of the position of each pig in the target pen at each monitoring time point on each monitoring day corresponding to the position of the infrared equipment are obtained; The position angle coefficient is used to adjust the amplitude of the position angle function so that the correction value is closer to the actual measurement error.

[0026] The position angle function describes the measurement error of the infrared device at different positions and angles.

[0027] The position angle coefficient is a specific value used to quantify the effect of the position and angle of the infrared device on the temperature measurement results. It is usually a coefficient calculated through experimental data or empirical formulas and used to correct the measurement results. It specifically reflects the effect of the distance and angle between the infrared device and the pig on the measured temperature.

[0028] The position angle function is a mathematical expression formula used to describe the influence of the position and angle of the infrared device on the temperature measurement results.

[0029] The position angle coefficient is a specific output value of the position angle function. The position angle function describes the influence of position and angle on the measurement result through mathematical expressions, and the position angle coefficient is the calculation result of this function under specific position and angle conditions.

[0030] The infrared temperature of each pig in the target pen at each monitoring time point on each monitoring day Perform temperature calibration to obtain the calibrated infrared temperature of each pig in the target pen at each monitoring time point on each monitoring day. , They represent the predefined calibration coefficients respectively, d is the number of each monitoring time point, d=1,2,...D; Calculate the mean individual temperature of each pig in the target pen on each monitoring day during the corresponding monitoring period , are the indoor temperature, outdoor temperature, indoor humidity and outdoor humidity of the pen at the dth monitoring time point on the jth monitoring day; are the position angle coefficient and position angle function of the position of the infrared device corresponding to the position of the cth pig in the target pen at the dth monitoring time point on the jth monitoring day, respectively. are the indoor and outdoor temperature difference influence coefficient and humidity difference influence coefficient at the dth monitoring time point on the jth monitoring day, respectively, and D is the total number of monitoring time points.

[0031] As a warm-blooded animal, the body temperature regulation mechanism of pigs will be significantly affected by the surrounding environment. When the ambient temperature is high, pigs regulate their body temperature by increasing skin blood flow and evaporative heat dissipation, which may increase their surface temperature; conversely, when the ambient temperature is low, pigs will reduce skin blood flow and increase metabolic heat production to maintain body temperature, which will cause their surface temperature to drop. In addition, air humidity will also affect the heat dissipation efficiency of pigs. In a high humidity environment, the evaporative heat dissipation efficiency is reduced, and the body temperature regulation ability of pigs is limited, which may lead to an increase in body temperature. Therefore, considering the effects of ambient temperature and humidity in the calculation formula is based on realistic considerations of pig physiology and thermodynamics principles. The calculation formula is used to reflect the effects of these external factors on the body temperature of pigs, so as to more accurately estimate their actual body temperature.

[0032] In a possible design, the position angle coefficient and position angle function of the position of each pig in the target pen corresponding to each monitoring time point on each monitoring day corresponding to the position of the infrared device are obtained, including: Get the location coordinates of the infrared equipment in the target enclosure And the position coordinates of each pig corresponding to each monitoring time point on each monitoring day ; Calculate the distance between the position of each pig in the target pen at each monitoring time point on each monitoring day and the position of the infrared device ; Calculate the relative pitch angle of the infrared device position corresponding to the position of each pig in the target pen at each monitoring time point on each monitoring day and the relative yaw angle ; Then the position angle coefficient of each pig in the target pen corresponding to each monitoring time point on each monitoring day corresponds to the position of the infrared device Expressed as , k4, k5 and k6 are all predefined calculation empirical coefficients; Finally, the position angle function of each pig in the target pen corresponding to each monitoring time point on each monitoring day and corresponding to the position of the infrared device is obtained. , are the empirical coefficients of the fitting.

[0033] Basic constant term Represents the basic correction value, distance term Reflects the linear effect of distance on the measurement result, angle term Describe the effects of pitch and yaw angles.

[0034] In one possible design, the total amount of food intake of each pig in the target pen on each monitoring day during the corresponding monitoring period is extracted. The specific process is as follows: The behavior recognition algorithm and the target tracking algorithm are used to identify the eating time point and the end eating time point of each pig corresponding to each feeding in each monitoring day; Based on the image recognition technology, the estimated total amount of feed in the trough at each feeding time point of each pig on each monitoring day and the estimated total amount of feed remaining in the trough at the end of feeding time point are obtained, and the difference is calculated to obtain the feed intake of each pig on each feeding time on each monitoring day; The amount of food consumed by each pig on each monitoring day is summed up to obtain the total amount of food consumed by each pig in the target pen on each monitoring day during the monitoring period.

[0035] Pig data analysis module: analyzes the basic parameters of each pig in the target pen on each monitoring day, and comprehensively evaluates the abnormal status index of each pig in the target pen on each monitoring day; In a possible design, a comprehensive evaluation is performed to obtain the abnormal status index of each pig in the target pen corresponding to each monitoring day. The specific evaluation process is as follows: Obtain the total amount of diarrhea of ​​each pig in the target pen on each monitoring day during the corresponding monitoring period , individual temperature mean and total food intake ; Calculate the possible infection index of each pig corresponding to each monitoring day , are the total diarrhea, individual temperature mean, and total food intake of the cth pig on the j-1th monitoring day, are the total diarrhea, individual temperature mean, and total food intake of the cth pig on the j+1th monitoring day. are the set weight coefficients respectively, and C is the total number of monitoring days; Comprehensive evaluation to obtain the abnormal status index of each pig in the target pen corresponding to each monitoring day , The abnormal status permission threshold is set.

[0036] Pig data judgment module: Analyze and judge based on the abnormal status index of each pig in the target pen corresponding to each monitoring day; If the abnormal status index of a certain pig is 1, the pen data collection module will continue to be executed. If the abnormal status index of a certain pig is 0, the pen data collection module will not be executed and the system module will be jumped out.

[0037] Pen data collection module: collects pen environmental data of each pig in the target pen on each monitoring day during the corresponding monitoring period; In one possible design, the pen environmental data for each pig in the target pen on each monitoring day during the monitoring period include ventilation density, feed quality and pig density.

[0038] Pen data analysis module: Comprehensively analyze the pen environmental data of each pig in the target pen on each monitoring day during the monitoring period, analyze the infection probability of each pig in the target pen on each monitoring day, and then screen out the diseased pigs in the target pen.

[0039] In one possible design, the infection probability of each pig in the target pen corresponding to each monitoring day is analyzed. The specific analysis logic is: Randomly select a monitoring day as the target analysis monitoring day from the pen environment data of each pig in the target pen during each monitoring period, and obtain the ventilation density V, feed quality F and pig density U on the target analysis monitoring day; Let G be the status value of pigs infected with coronavirus, where G takes the value of 1 or 0, 1 means infected, and 0 means uninfected, thus constructing the Bayesian network for each pig corresponding to the target analysis monitoring day ; The prior probability of each pig being infected with coronavirus on the target analysis monitoring day is , then the prior probability that pigs are not infected with coronavirus is ; The joint probability of coronavirus infection for each pig on the target analysis monitoring day is calculated ; Calculate the joint probability that each pig is not infected with coronavirus on the target analysis monitoring day ; Calculate the probability of ventilation, feed quality, and pig density occurring simultaneously under all possible infection conditions for each pig on the target analysis monitoring day = × + × ; Comprehensively calculate the infection probability of each pig corresponding to the target analysis monitoring day corresponding to ventilation density, feed quality and pig density ; This analysis method can then be used to obtain the infection probability of each pig in the target pen on each monitoring day.

[0040] In one possible design, the screening logic for screening out diseased pigs in the target pen is: Weights Q1 and Q2 are assigned to the status anomaly index and infection probability respectively; The comprehensive index value of each pig in the target pen is calculated from this , is the infection probability of the cth pig in the target pen corresponding to the jth monitoring day; The comprehensive index value of each pig in the target pen With threshold For comparison, if , then the cth pig is determined to be infected with the coronavirus.

[0041] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0042] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0043] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0044] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A rapid detection system for porcine enteric coronavirus, characterized in that: include: Pig data extraction module: used to set the monitoring period, and extract the basic parameters of each pig in the target pen on each monitoring day during the monitoring period according to the monitoring instruments deployed in the target pen; Pig data analysis module: analyzes the basic parameters of each pig in the target pen on each monitoring day, and comprehensively evaluates the abnormal status index of each pig in the target pen on each monitoring day; Pig data judgment module: Analyze and judge based on the abnormal status index of each pig in the target pen corresponding to each monitoring day; Pen data collection module: collects pen environmental data of each pig in the target pen on each monitoring day during the corresponding monitoring period based on the automatic sampling equipment; Pen data analysis module: Comprehensively analyze the pen environmental data of each pig in the target pen on each monitoring day during the monitoring period, analyze the infection probability of each pig in the target pen on each monitoring day, and then screen out the diseased pigs in the target pen.

2. A rapid detection system for porcine enteric coronavirus according to claim 1, characterized in that: The basic parameters of each pig in the target pen on each monitoring day during the corresponding monitoring period include the total amount of diarrhea, individual temperature average and total food intake.

3. A rapid detection system for porcine enteric coronavirus according to claim 2, characterized in that: The total amount of diarrhea of ​​each pig in the target pen on each monitoring day during the corresponding monitoring period was extracted. The specific process is as follows: According to the monitoring instruments arranged in the target pen, the monitoring video of each monitoring day in the corresponding monitoring period of the target pen is obtained; the monitoring video is preprocessed, and the background in the target pen and the pigs in the target pen are separated by the background modeling method simultaneously; Using a target detection algorithm to detect each pig in the monitoring video, using a target tracking algorithm to track each pig in the target pen, and obtaining the position of each pig in the target pen corresponding to each monitoring time point on each monitoring day; Use image processing and computer vision technology to identify the time points at which diarrhea events occurred for each pig in the target pen on each monitoring day , ZL is the frame rate of the monitoring video of the target enclosure on each monitoring day during the monitoring period, is the frame number of the i-th diarrhea event in the c-th pig in the target pen corresponding to the j-th monitoring day in the corresponding monitoring video, c is the number of each pig in the target pen, c=1,2,...C; j is the number of each monitoring day, j=1,2,...J, i is the number of each diarrhea event, i=1,2,... ; The monitoring time points of each diarrhea event occurring in each pig in the target pen on each monitoring day are marked in the monitoring video, and the time points are overlapped with the positions of each monitoring time point of each pig in the target pen on each monitoring day, so as to obtain the diarrhea area of ​​each diarrhea event occurring in each pig in the target pen on each monitoring day; Using image segmentation technology, the total number of pixels corresponding to the diarrhea area of ​​each pig in the target pen corresponding to each diarrhea event on each monitoring day is obtained. ; The pixel width of the image in the monitoring video and image pixel height ; The estimated diarrhea area corresponding to each diarrhea event in each pig in the standard pen on each monitoring day is calculated from this. , and Respectively represent the actual width and actual height corresponding to the camera's viewing angle; Then through the formula Calculate the expected diarrhea fluid thickness of the diarrhea area corresponding to the i-th diarrhea event of the c-th pig in the target pen corresponding to the j-th monitoring day , is the set liquid characteristic constant; Finally, the total amount of diarrhea of ​​each pig in the target pen on each monitoring day during the corresponding monitoring period is obtained. .

4. A rapid detection system for porcine enteric coronavirus according to claim 3, characterized in that: The individual temperature mean of each pig in the target pen on each monitoring day during the corresponding monitoring period is extracted. The specific process is as follows: According to the monitoring instruments deployed in the target pens, the infrared temperature of each pig in the target pens at each monitoring time point on each monitoring day is collected; the outdoor temperature, outdoor humidity, indoor temperature and indoor humidity of the pens at each monitoring time point on each monitoring day are collected simultaneously; Based on the position of each pig in the target pen at each monitoring time point on each monitoring day and the position of the infrared equipment in the target pen, the position angle coefficient and position angle function of the position of each pig in the target pen at each monitoring time point on each monitoring day corresponding to the position of the infrared equipment are obtained; The infrared temperature of each pig in the target pen at each monitoring time point on each monitoring day Perform temperature calibration to obtain the calibrated infrared temperature of each pig in the target pen at each monitoring time point on each monitoring day. , They represent the predefined calibration coefficients respectively, d is the number of each monitoring time point, d=1,2,...D; Calculate the mean individual temperature of each pig in the target pen on each monitoring day during the corresponding monitoring period , are the indoor temperature, outdoor temperature, indoor humidity and outdoor humidity of the pen at the dth monitoring time point on the jth monitoring day; are the position angle coefficient and position angle function of the position of the infrared device corresponding to the position of the cth pig in the target pen at the dth monitoring time point on the jth monitoring day, respectively. are the indoor and outdoor temperature difference influence coefficient and humidity difference influence coefficient at the dth monitoring time point on the jth monitoring day, respectively, and D is the total number of monitoring time points.

5. A rapid detection system for porcine enteric coronavirus according to claim 4, characterized in that: The position angle coefficient and position angle function of the position of each pig in the target pen corresponding to each monitoring time point on each monitoring day corresponding to the position of the infrared device are obtained, including: Get the location coordinates of the infrared equipment in the target enclosure And the position coordinates of each pig corresponding to each monitoring time point on each monitoring day ; Calculate the distance between the position of each pig in the target pen at each monitoring time point on each monitoring day and the position of the infrared device ; Calculate the relative pitch angle of the infrared device position corresponding to the position of each pig in the target pen at each monitoring time point on each monitoring day and the relative yaw angle ; Then the position angle coefficient of each pig in the target pen corresponding to each monitoring time point on each monitoring day corresponds to the position of the infrared device Expressed as , k4, k5 and k6 are all predefined calculation empirical coefficients; Finally, the position angle function of each pig in the target pen corresponding to each monitoring time point on each monitoring day and corresponding to the position of the infrared device is obtained. , are the empirical coefficients of the fitting.

6. A rapid detection system for porcine enteric coronavirus according to claim 2, characterized in that: The total amount of food intake of each pig in the target pen on each monitoring day during the corresponding monitoring period was extracted. The specific process is as follows: The behavior recognition algorithm and the target tracking algorithm are used to identify the eating time point and the end eating time point of each pig corresponding to each feeding in each monitoring day; Based on the image recognition technology, the estimated total amount of feed in the trough at each feeding time point of each pig on each monitoring day and the estimated total amount of feed remaining in the trough at the end of feeding time point are obtained, and the difference is calculated to obtain the feed intake of each pig on each feeding time on each monitoring day; The amount of food consumed by each pig on each monitoring day is summed up to obtain the total amount of food consumed by each pig in the target pen on each monitoring day during the monitoring period.

7. A rapid detection system for porcine enteric coronavirus according to claim 1, characterized in that: Comprehensive evaluation is performed to obtain the abnormal status index of each pig in the target pen corresponding to each monitoring day. The specific evaluation process is as follows: Obtain the total amount of diarrhea of ​​each pig in the target pen on each monitoring day during the corresponding monitoring period , individual temperature mean and total food intake ; Calculate the possible infection index of each pig corresponding to each monitoring day , are the total diarrhea, individual temperature mean, and total food intake of the cth pig on the j-1th monitoring day, are the total diarrhea, individual temperature mean, and total food intake of the cth pig on the j+1th monitoring day. are the set weight coefficients respectively, and C is the total number of monitoring days; Comprehensive evaluation to obtain the abnormal status index of each pig in the target pen corresponding to each monitoring day , The abnormal status permission threshold is set.

8. A rapid detection system for porcine enteric coronavirus according to claim 1, characterized in that: The pen environmental data of each pig in the target pen on each monitoring day during the monitoring period include ventilation density, feed quality and pig density.

9. A rapid detection system for porcine enteric coronavirus according to claim 8, characterized in that: Analyze the infection probability of each pig in the target pen on each monitoring day. The specific analysis logic is as follows: Randomly select a monitoring day as the target analysis monitoring day from the pen environment data of each pig in the target pen during each monitoring period, and obtain the ventilation density V, feed quality F and pig density U on the target analysis monitoring day; Let G be the status value of pigs infected with coronavirus, where G takes the value of 1 or 0, 1 means infected, and 0 means uninfected, thus constructing the Bayesian network for each pig corresponding to the target analysis monitoring day ; The prior probability of each pig being infected with coronavirus on the target analysis monitoring day is , then the prior probability that pigs are not infected with coronavirus is ; The joint probability of coronavirus infection for each pig on the target analysis monitoring day is calculated ; Calculate the joint probability that each pig is not infected with coronavirus on the target analysis monitoring day ; Calculate the probability of ventilation, feed quality, and pig density occurring simultaneously under all possible infection conditions for each pig on the target analysis monitoring day = × + × ; Comprehensively calculate the infection probability of each pig corresponding to the target analysis monitoring day corresponding to ventilation density, feed quality and pig density ; This analysis method can then be used to obtain the infection probability of each pig in the target pen on each monitoring day.

10. A rapid detection system for porcine enteric coronavirus according to claim 1, characterized in that: The screening logic for screening out diseased pigs in the target pen is: Weights Q1 and Q2 are assigned to the status anomaly index and infection probability respectively; The comprehensive index value of each pig in the target pen is calculated from this , is the infection probability of the cth pig in the target pen corresponding to the jth monitoring day; The comprehensive index value of each pig in the target pen With threshold For comparison, if , then the cth pig is determined to be infected with the coronavirus.

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