An avian disease monitoring data statistical analysis system

Abstract

The application discloses a kind of avian disease monitoring data statistical analysis systems, comprising: intelligent chip acquisition unit, data transmission unit, data storage unit, data processing unit, intelligent epidemic prevention unit and remote monitoring unit;Intelligent chip acquisition unit: for the information data generated in the monitoring process of poultry breeding area, real-time acquisition is carried out, belongs to the technical field of avian disease monitoring.Through integration eating collection module, movement acquisition module, temperature acquisition module, air pressure acquisition module, image acquisition module, concentration acquisition module and flow rate acquisition module, the overall monitoring of the growth environment and physiological state of poultry is realized, and the accuracy and reliability of disease monitoring are greatly improved.Through data processing unit, the information data collected are intelligently analyzed, the health status of poultry can be judged in real time, abnormalities are found in time and alarm is triggered, and the risk of disease missed detection is effectively reduced.

Description

Technical Field

[0001] This invention relates to the field of poultry disease monitoring technology, and more specifically discloses a poultry disease monitoring data statistical analysis system. Background Technology

[0002] Birds, a class within the subphylum Vertebrata, are a collective term for avian animals, encompassing two main categories: flying birds and domestic poultry. Domestic poultry refers to birds domesticated for economic or other purposes, primarily including chickens, ducks, and geese. These birds not only provide humans with abundant meat and egg resources but also play a vital role in human societal development. Chickens, ducks, and geese are biologically closely related to birds; they all belong to the order Galliformes and share similar biological characteristics and habits, such as short, strong beaks, three or four toes, and the ability to walk. However, in intensive farming environments, domestic poultry are highly susceptible to diseases, such as avian influenza, which are highly contagious and deadly. Outbreaks of these diseases can lead to mass poultry deaths and threaten human public health. Therefore, effective monitoring and early warning of the occurrence and development of avian diseases are crucial for ensuring the sustainable development of the poultry industry and safeguarding public health. However, traditional methods of diagnosing poultry diseases often rely on staff regularly inspecting the breeding environment and observing the growth and abnormal behaviors of poultry, such as loss of appetite, sluggish movement, and ruffled feathers. This method is highly subjective and lacks the data collection and analysis capabilities of smart chip modules in poultry farming. The experience, expertise, and observation skills of the staff directly affect the accuracy and reliability of disease monitoring. Furthermore, because it mainly depends on manual inspection and observation, it is difficult to conduct comprehensive and detailed monitoring of a large number of poultry, especially in large-scale farms where the number of poultry is large. It is difficult for observers to check all poultry in a short period of time, which can easily lead to the omission of some sick birds and further spread of the epidemic. Summary of the Invention

[0003] Purpose of the Invention: The purpose of this invention is to address the problem that traditional methods of diagnosing poultry diseases often rely on staff regularly inspecting the breeding environment and observing the growth and abnormal behaviors of poultry, such as loss of appetite, sluggish movement, and ruffled feathers. This method is highly subjective, and the experience, expertise, and observation skills of the staff directly affect the accuracy and reliability of disease monitoring. Furthermore, because it mainly depends on manual inspection and observation, it is difficult to conduct comprehensive and detailed monitoring of a large number of poultry, especially in large-scale farms where the number of poultry is large. It is difficult for observers to check all poultry in a short period of time, which can easily lead to the omission of some diseased birds and the further spread of the epidemic.

[0004] To solve the above-mentioned technical problems, according to one aspect of the present invention, more specifically, a poultry disease monitoring data statistical analysis system, comprising: an intelligent chip acquisition unit, a data transmission unit, a data storage unit, a data processing unit, an intelligent epidemic prevention unit, and a remote monitoring unit;

[0005] Intelligent chip acquisition unit: used to collect information data in real time during the monitoring of poultry farming areas;

[0006] Data transmission unit: used for real-time transmission of information data collected by the intelligent chip acquisition unit;

[0007] Data storage unit: Used to store the information data transmitted in real time by the data transmission unit;

[0008] Data processing unit: Used to process and analyze the information data stored in the data storage unit, obtain the processing and analysis results, and forward the obtained processing and analysis results to the remote monitoring unit;

[0009] Intelligent disease prevention unit: used to carry out disease prevention and control measures on poultry and breeding areas when poultry are infected with diseases;

[0010] Remote monitoring unit: Used to display the information stored in the data storage unit and the analysis results of the data processing unit in real time on the back-end terminal. At the same time, when the results obtained by the data processing unit are abnormal, an alarm is sent to the back-end terminal.

[0011] Furthermore, the intelligent chip acquisition unit includes: an ingestion acquisition module, a motion acquisition module, a temperature acquisition module, an air pressure acquisition module, an image acquisition module, a concentration acquisition module, and a flow rate acquisition module;

[0012] Feed intake data collection module: used to collect real-time data on the feed intake of poultry;

[0013] Motion acquisition module: used to collect real-time data on the number of steps taken by poultry via leg bands;

[0014] Temperature acquisition module: used to collect real-time temperature information data of poultry and the external environment of the breeding area;

[0015] Atmospheric pressure acquisition module: used to collect atmospheric pressure information data of the aquaculture area in real time;

[0016] Image acquisition module: Used to collect real-time data on abnormal conditions of poultry and poultry feces information through image recognition technology;

[0017] Concentration acquisition module: Used to collect ammonia concentration information data in the aquaculture area in real time;

[0018] Airflow velocity acquisition module: Used for real-time acquisition of airflow velocity information data in the aquaculture area.

[0019] Furthermore, the data processing unit includes: a data acquisition module, an analysis and judgment module, and a result forwarding module;

[0020] Data acquisition module: used to acquire information data stored in the data storage unit in real time;

[0021] Analysis and Judgment Module: Used to analyze and judge the information data obtained by the data acquisition module, and thus obtain the analysis and judgment results;

[0022] Result forwarding module: Used to forward the results analyzed and judged by the analysis and judgment module to the remote monitoring unit.

[0023] Furthermore, the intelligent epidemic prevention unit includes: an active isolation module, an automatic disinfection module, an intelligent diagnosis and treatment module, and an emergency vaccination module;

[0024] Active isolation module: Used to arrange for staff to isolate poultry infected with the disease;

[0025] Automatic disinfection module: Used to automatically disinfect poultry rearing areas when an epidemic occurs;

[0026] Intelligent diagnosis and treatment module: used to diagnose the blood of diseased poultry using an animal blood analyzer, thereby determining the type of disease, and treating the diseased poultry based on the diagnosis results;

[0027] Emergency vaccination module: Used for emergency immunization of poultry flocks in epidemic and threatened areas.

[0028] Furthermore, the remote monitoring unit includes: a data receiving module, a data display module, and an anomaly alarm module;

[0029] Data receiving module: used to receive information data stored in the data storage unit and analysis results information from the data processing unit in real time;

[0030] Data display module: Used to display the information data received by the data receiving module on the background terminal display screen;

[0031] Anomaly Alarm Module: This module sends an alarm to the backend terminal when the analysis and judgment module obtains an abnormal result.

[0032] Furthermore, the analysis and judgment module can obtain data on poultry feed intake, number of steps taken, ambient temperature of the breeding area, and atmospheric pressure from the data acquisition module, and analyze the data to determine the poultry's feed intake level. If:

[0033]

[0034] This indicates that the poultry are feeding normally and will not be infected with disease. No further analysis of the collected data is needed. Here, lv represents the feeding level, time represents the data monitoring duration, and R... i R represents the amount of food consumed by poultry in the i-th second. e S is the preset standard food intake. i Let be the number of steps the bird takes in the i-th second. Let be the ambient temperature inside the breeding area at the i-th second. The maximum temperature of the external environment of the breeding area within the specified time period. P represents the minimum temperature of the external environment of the aquaculture area within the specified time period. i Let P be the atmospheric pressure inside the breeding area at the i-th second. e The preset standard atmospheric pressure, This is a threshold parameter for food intake.

[0035] Furthermore, the analysis and judgment module can obtain poultry body temperature, poultry abnormal conditions, and poultry fecal information data from the data acquisition module, and derive the poultry abnormality index through analysis of the acquired data:

[0036]

[0037] Where abn is the anomaly index, time is the duration of data monitoring, and T i Let T be the body temperature of the bird at the i-th second. e Y is the preset standard body temperature for poultry. i f is the number of times the poultry exhibit abnormal behavior in the i-th second. i f represents the number of times poultry defecate in the i-th second. e This refers to the number of times abnormal stools occur within a given time period.

[0038] Furthermore, the analysis and judgment module can obtain data on poultry feed intake, movement steps, ammonia concentration in the breeding area, and airflow speed from the data acquisition module, and derive a comprehensive disease index for poultry based on the obtained data. If:

[0039]

[0040] This indicates that the poultry are healthy and not infected with disease, where E is the disease index, time is the duration of data monitoring, and gc i Let gc be the ammonia concentration within the aquaculture area at second i. e The preset standard ammonia concentration, lv represents the feeding level, and V... i V represents the airflow velocity within the breeding area at the i-th second. avg R represents the average air velocity in the external environment of the aquaculture area within a given time period. max S represents the maximum amount of feed consumed by poultry within a given time period. max denoted as 'time', where 'abn' is the anomaly index, α is the conversion coefficient, and δ is the disease threshold parameter.

[0041] The beneficial effects of this invention's poultry disease monitoring data statistical analysis system are as follows: By integrating feeding, movement, temperature, air pressure, image, concentration, and flow rate acquisition modules, it achieves comprehensive monitoring of poultry growth environment and physiological state. The intelligent chip module enables intelligent data collection during poultry farming, significantly improving the accuracy and reliability of disease monitoring. The data processing unit intelligently analyzes the collected data, allowing for real-time assessment of poultry health, timely detection of abnormalities, and alarm triggering, effectively reducing the risk of missed disease detection. The introduction of the intelligent disease prevention unit enables rapid response and precise control of diseases, including active isolation, automatic disinfection, intelligent diagnosis and treatment, and emergency vaccination measures, effectively curbing the spread of diseases. The remote monitoring unit provides convenient data display and abnormal alarm functions, enabling managers to monitor poultry health anytime, anywhere, and take timely intervention measures to ensure the sustainable development of poultry farming and public health safety. Attached Figure Description

[0042] The present invention will now be described in further detail with reference to the accompanying drawings and specific implementation methods.

[0043] Figure 1 This is a schematic diagram of the system principle. Detailed Implementation

[0044] The present invention will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the present application can be combined with each other.

[0045] According to one aspect of the invention, such as Figure 1As shown, a poultry disease monitoring data statistical analysis system is provided. First, through feeding acquisition module, movement acquisition module, temperature acquisition module, air pressure acquisition module, image acquisition module, concentration acquisition module, and flow rate acquisition module, the system collects data in real time on poultry feed intake, movement steps, poultry and external environmental temperature in the breeding area, atmospheric pressure in the breeding area, abnormal poultry conditions, poultry feces, ammonia concentration in the breeding area, and air flow speed.

[0046] Then, the collected data is transmitted in real time to the data storage unit through the data transmission unit. Then, the data acquisition module in the data processing unit obtains information data from the data storage unit, and then the analysis and judgment module processes and analyzes the obtained information data.

[0047] Subsequently, when the analysis and judgment module detects an anomaly, it will trigger the anomaly alarm module to send an alarm to the backend terminal.

[0048] The data receiving module in the remote monitoring unit can receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time, and display the received information data on the background terminal screen through the data display module.

[0049] The analysis and judgment module can obtain data on chicken feed intake, movement steps, ambient temperature of the breeding area, and atmospheric pressure from the data acquisition module. It then analyzes this data to determine the chicken's feed intake level. If:

[0050]

[0051] This indicates that the chickens are eating normally and are not susceptible to disease. Further analysis of the collected data is unnecessary, reducing the system's computational load. This indicates abnormal feeding behavior in the chickens, suggesting a high risk of disease infection. It will trigger the anomaly alarm module, and the collected data will be further analyzed to assess the chickens' health. Here, lv represents the feeding level, time represents the data monitoring duration, and R... i Let R be the amount of food the chicken eats in the i-th second. e S is the preset standard food intake. i Let be the number of steps the chicken takes in the i-th second. Let be the ambient temperature inside the breeding area at the i-th second. The maximum temperature of the external environment of the breeding area within the specified time period. P represents the minimum temperature of the external environment of the aquaculture area within the specified time period. i Let P be the atmospheric pressure inside the breeding area at the i-th second. e The preset standard atmospheric pressure, This is a threshold parameter for food intake. During data collection... Preset standard food intake R e =0.003, During the specified time period, the maximum and minimum temperatures of the external environment of the aquaculture area were: Preset standard atmospheric pressure P e =101325, Threshold parameters for food intake Therefore, This indicates that the chickens' feeding behavior is abnormal and that they are at high risk of contracting diseases. This will trigger the abnormal alarm module to issue an alarm and further analyze the chickens' health based on the collected data.

[0052] The analysis and judgment module can obtain data on chicken body temperature, poultry abnormalities, and chicken feces from the data acquisition module, and analyze the obtained data to derive the chicken's abnormality index:

[0053]

[0054] Where abn is the anomaly index, time is the duration of data monitoring, and T i The body temperature of the chicken in the second, T e Y is the preset standard body temperature of chickens. i Let f be the number of times the chicken exhibits an abnormal state in the i-th second. Abnormal states include: open-mouth breathing, coughing, sneezing, and runny nose. i f represents the number of times the chicken defecates in the i-th second. e The time period is defined as the number of times abnormal stools occur. Abnormal stools include: ginger-yellow watery stools, white watery stools, green watery stools, red watery stools, and foamy watery stools. During data collection, a preset standard body temperature (T) for poultry was used. e =40, Therefore, The higher the abnormality index, the higher the likelihood that the chickens are infected with diseases.

[0055] The analysis and judgment module can obtain data on chicken feed intake, movement steps, ammonia concentration in the breeding area, and airflow speed from the data acquisition module. It then analyzes this data to derive a comprehensive disease index for the chickens. If:

[0056]

[0057] If E > δ, it indicates the chickens are healthy and not infected with disease. If E > δ, it indicates the chickens are abnormal and infected with disease, triggering the abnormal alarm module. Then, the active isolation module isolates the infected chickens, and the automatic disinfection module disinfects the chicken rearing area. Next, the intelligent diagnosis module samples the serum of the infected poultry to diagnose the disease type and treats the infected chickens accordingly. Finally, the emergency vaccination module vaccinates all chickens in the farm based on the disease type. Here, E is the comprehensive disease index, time is the data monitoring duration, and gc is the total number of chickens. i Let gc be the ammonia concentration within the aquaculture area at second i. e The preset standard ammonia concentration, lv represents the feeding level, and V... i V represents the airflow velocity within the breeding area at the i-th second. avg R represents the average air velocity in the external environment of the aquaculture area within a given time period. max S represents the maximum amount of feed a chicken can consume within a given time period. max Let be the maximum number of steps a chicken can take within a given time period, abn be the anomaly index, α be the transformation coefficient, and δ be the disease threshold parameter. During data collection... Preset standard ammonia concentration gc e =20, The average air velocity V in the external environment of the aquaculture area within the specified time period. avg =3.5, within the time period, the chicken's maximum feed intake and number of steps are respectively: R max =0.002, S max =2, conversion coefficient α = 0.001, threshold parameter of the epidemic δ = 0.1, therefore, If 0.14 > 0.1, it indicates that the chicken is abnormal and has been infected with a disease. This will trigger the abnormal alarm module to issue an alarm. Then, the active isolation module will isolate the infected chicken, and the automatic disinfection module will disinfect the chicken's rearing area. Next, the intelligent diagnosis and treatment module will sample the serum of the infected chicken to diagnose the type of disease and treat the infected chicken according to the disease type. Afterward, the emergency vaccination module will vaccinate all the chickens in the rearing area according to the disease type. This allows for timely detection of the disease, rapid diagnosis and treatment of the infected chicken, and timely isolation of the infected chicken, effectively preventing further spread of the disease.

[0058] The above-described embodiments are merely one implementation of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A statistical analysis system for poultry disease monitoring data, characterized in that, include: The system includes an intelligent chip acquisition unit, a data transmission unit, a data storage unit, a data processing unit, an intelligent epidemic prevention unit, and a remote monitoring unit. Intelligent chip acquisition unit: used to collect information data in real time during the monitoring of poultry farming areas; Data transmission unit: used for real-time transmission of information data collected by the intelligent chip acquisition unit; Data storage unit: Used to store the information data transmitted in real time by the data transmission unit; Data processing unit: Used to process and analyze the information data stored in the data storage unit, obtain the processing and analysis results, and forward the obtained processing and analysis results to the remote monitoring unit; Intelligent disease prevention unit: used to carry out disease prevention and control measures on poultry and breeding areas when poultry are infected with diseases; Remote monitoring unit: Used to display the information stored in the data storage unit and the analysis results of the data processing unit in real time on the back-end terminal. At the same time, when the results obtained by the data processing unit are abnormal, an alarm is sent to the back-end terminal.

2. The poultry disease monitoring data statistical analysis system according to claim 1, characterized in that: The intelligent chip acquisition unit includes: an ingestion acquisition module, a motion acquisition module, a temperature acquisition module, an air pressure acquisition module, an image acquisition module, a concentration acquisition module, and a flow rate acquisition module; Feed intake data collection module: used to collect real-time data on the feed intake of poultry; Motion acquisition module: used to collect real-time data on the number of steps taken by poultry via leg bands; Temperature acquisition module: used to collect real-time temperature information data of poultry and the external environment of the breeding area; Atmospheric pressure acquisition module: used to collect atmospheric pressure information data of the aquaculture area in real time; Image acquisition module: Used to collect real-time data on abnormal conditions of poultry and poultry feces information through image recognition technology; Concentration acquisition module: Used to collect ammonia concentration information data in the aquaculture area in real time; Airflow velocity acquisition module: Used for real-time acquisition of airflow velocity information data in the aquaculture area.

3. The poultry disease monitoring data statistical analysis system according to claim 2, characterized in that: The data processing unit includes: a data acquisition module, an analysis and judgment module, and a result forwarding module; Data acquisition module: used to acquire information data stored in the data storage unit in real time; Analysis and Judgment Module: Used to analyze and judge the information data obtained by the data acquisition module, and thus obtain the analysis and judgment results; Result forwarding module: Used to forward the results analyzed and judged by the analysis and judgment module to the remote monitoring unit.

4. The poultry disease monitoring data statistical analysis system according to claim 3, characterized in that: The intelligent epidemic prevention unit includes: an active isolation module, an automatic disinfection module, an intelligent diagnosis and treatment module, and an emergency vaccination module; Active isolation module: Used to arrange for staff to isolate poultry infected with the disease; Automatic disinfection module: Used to automatically disinfect poultry rearing areas when an epidemic occurs; Intelligent diagnosis and treatment module: used to diagnose the blood of diseased poultry using an animal blood analyzer, thereby determining the type of disease, and treating the diseased poultry based on the diagnosis results; Emergency vaccination module: Used for emergency immunization of poultry flocks in epidemic and threatened areas.

5. The poultry disease monitoring data statistical analysis system according to claim 4, characterized in that: The remote monitoring unit includes: a data receiving module, a data display module, and an anomaly alarm module; Data receiving module: used to receive information data stored in the data storage unit and analysis results information from the data processing unit in real time; Data display module: Used to display the information data received by the data receiving module on the background terminal display screen; Anomaly Alarm Module: This module sends an alarm to the backend terminal when the analysis and judgment module obtains an abnormal result.

6. The poultry disease monitoring data statistical analysis system according to claim 5, characterized in that: The analysis and judgment module can obtain data on poultry feed intake, movement steps, ambient temperature of the breeding area, and atmospheric pressure from the data acquisition module, and analyze the data to determine the poultry feed intake level. If: This indicates that the poultry are feeding normally and will not be infected with disease. No further analysis of the collected data is needed. Here, lv represents the feeding level, time represents the data monitoring duration, and R... i R represents the amount of food consumed by poultry in the i-th second. e S is the preset standard food intake. i Let be the number of steps the bird takes in the i-th second. Let be the ambient temperature inside the breeding area at the i-th second. The maximum temperature of the external environment of the breeding area within the specified time period. P represents the minimum temperature of the external environment of the aquaculture area within the specified time period. i Let P be the atmospheric pressure inside the breeding area at the i-th second. e The preset standard atmospheric pressure, This is a threshold parameter for food intake.

7. The poultry disease monitoring data statistical analysis system according to claim 6, characterized in that: The analysis and judgment module can obtain poultry body temperature, poultry abnormal status, and poultry fecal information data from the data acquisition module, and derive the poultry abnormality index through analysis of the acquired data: Where abn is the anomaly index, time is the duration of data monitoring, and T i Let T be the body temperature of the bird at the i-th second. e Y is the preset standard body temperature for poultry. i f is the number of times the poultry exhibit abnormal behavior in the i-th second. i f represents the number of times poultry defecate in the i-th second. e This refers to the number of times abnormal stools occur within a given time period.

8. The poultry disease monitoring data statistical analysis system according to claim 7, characterized in that: The analysis and judgment module can obtain data on poultry feed intake, movement steps, ammonia concentration in the breeding area, and air flow speed from the data acquisition module, and derive a comprehensive disease index for poultry based on the obtained data. If: This indicates that the poultry are healthy and not infected with disease, where E is the disease index, time is the duration of data monitoring, and gc i Let gc be the ammonia concentration within the aquaculture area at second i. e The preset standard ammonia concentration, lv represents the feeding level, and V... i V represents the airflow velocity within the breeding area at the i-th second. avg R represents the average air velocity in the external environment of the aquaculture area within a given time period. max S represents the maximum amount of feed consumed by poultry within a given time period. max denoted as 'time', where 'abn' is the anomaly index, α is the conversion coefficient, and δ is the disease threshold parameter.

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