Large-area epidemic situation monitoring system for livestock breeding management

Abstract

The invention discloses a large-area epidemic situation monitoring system for livestock breeding management, and belongs to the technical field of livestock breeding management. The system comprises a real-time acquisition module, a data processing module, an analysis and evaluation module, an early warning management and control module and a data storage module. The livestock breeding epidemic situation monitoring system solves the problems that livestock breeding epidemic situation management conditions cannot be known in real time due to the fact that livestock breeding epidemic situation monitoring cannot be carried out in real time in the prior art, large-area livestock epidemic situations are prone to occurring, and the livestock breeding management effect is poor, can carry out livestock breeding epidemic situation monitoring in real time in the livestock breeding process, and improves the livestock breeding efficiency. The livestock breeding epidemic situation management situation can be known in real time, large-area livestock epidemic situations are avoided, and the livestock breeding management effect is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of animal husbandry and breeding management, and in particular to a large-area epidemic situation monitoring system for animal husbandry and breeding management. Background Art

[0002] With the continuous development and progress of society, the breeding industry continues to rise, providing support for the meat that is necessary for people's daily lives. During the growth process of livestock, livestock are susceptible to plague and cause infectious phenomena. Rapid infection can easily spread to all livestock, affecting livestock breeding. In the process of breeding livestock, veterinary auxiliary care and medical treatment are required for the free and healthy growth of livestock. In order to better observe and prevent livestock epidemics, sick livestock need to be raised separately, and breeding houses are needed.

[0003] In the prior art, during the use of existing feeding sheds, the top cover of the portable feeding shed is easily loosened and automatically unfolded due to the shaking of livestock, resulting in reduced environmental stability of the feeding shed, and the air inside is directly discharged to the outside, affecting the surrounding environment and accelerating the spread of diseases.

[0004] The Chinese patent with publication number CN114532239A discloses a special feeding house for animal husbandry and veterinary epidemic prevention and its monitoring system. The patent provides a special feeding house for animal husbandry and veterinary epidemic prevention. The flip cover is limited by the connecting plate and the limiting sliding shaft after closing, so it can maintain a stable closed state, reduce the phenomenon of the flip cover opening due to the shaking of livestock inside the feeding box, and enhance the stability of livestock isolation. The movable plate not only facilitates the cleaning and maintenance of the interior of the feeding box, but also the rotatable installation structure facilitates the movement and adjustment of the connecting plate as a whole, providing stable and reliable support for the normal opening of the flip cover. However, the above patent has the following defects in actual use: The inability to conduct real-time livestock epidemic monitoring during the livestock breeding process results in the inability to understand the livestock breeding epidemic management situation in real time, making livestock susceptible to large-scale epidemics and resulting in poor livestock breeding management results. Summary of the invention

[0006] The purpose of the present invention is to provide a large-area epidemic monitoring system for livestock breeding management, which can perform real-time livestock epidemic monitoring of the livestock breeding process, understand the livestock breeding epidemic management situation in real time, avoid large-scale epidemics in livestock, and improve the livestock breeding management effect, solving the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions: A large-area epidemic monitoring system for livestock breeding management, comprising A real-time collection module is used to collect livestock breeding data in real time. Based on the large-scale epidemic monitoring requirements of livestock breeding management, the temperature, humidity and heart rate of the livestock are collected in real time to obtain real-time temperature, humidity and heart rate information. Based on the obtained temperature, humidity and heart rate information, the real-time collected livestock breeding data is determined; A data processing module is used to pre-process the livestock breeding data collected in real time, obtain the livestock breeding data collected in real time, and completely extract the livestock breeding data from the acquired livestock breeding data based on the large-scale epidemic monitoring requirements of livestock breeding management, and retrieve, group and calculate the extracted livestock breeding data to determine the livestock breeding representation data; An analysis and evaluation module is used to analyze and evaluate the livestock breeding characterization data, obtain the livestock breeding characterization data, and find out the livestock breeding standard data corresponding to the livestock breeding characterization data based on the livestock breeding characterization data index, analyze and evaluate the livestock breeding characterization data with reference to the livestock breeding standard data, and determine an analysis and evaluation report based on the large-scale epidemic monitoring requirements of livestock breeding management; The early warning and control module is used to carry out intelligent early warning, epidemic prevention and control of animal husbandry, obtain analysis and evaluation reports based on the large-scale epidemic monitoring requirements of animal husbandry management, conduct association analysis and correlation analysis on the analysis and evaluation reports based on data mining technology, determine the corresponding early warning, epidemic prevention and control strategies, and carry out intelligent early warning, epidemic prevention and control of animal husbandry according to the early warning, epidemic prevention and control strategies; The data storage module is used to store a variety of livestock breeding standard data and early warning, epidemic prevention and control strategies. It includes a data storage unit and a strategy storage unit. Each data storage unit stores different livestock breeding standard data, and each strategy storage unit stores different early warning, epidemic prevention and control strategies, which are used to provide reference guidance for large-scale epidemic monitoring of livestock breeding management.

[0008] Preferably, the real-time acquisition module includes The temperature sensor is used to collect the temperature of the livestock in real time. The temperature sensor is installed on the ear of the livestock to obtain the temperature information of the livestock in real time. The humidity sensor is used to collect the humidity of the livestock in real time. It is installed on the ears of the livestock and obtains the humidity information of the livestock in real time through the humidity sensor. The heart rate sensor is used to collect the heart rate of the livestock in real time. It is installed on the ear of the livestock and obtains the heart rate information of the livestock in real time through the heart rate sensor.

[0009] Preferably, the real-time acquisition module further includes: A first frequency information extraction module, used to extract the maximum acquisition frequency of the temperature sensor and the minimum acquisition frequency of the temperature sensor; A second frequency information extraction module is used to extract the maximum acquisition frequency of the humidity sensor and the minimum acquisition frequency of the humidity sensor; A third frequency information extraction module is used to extract the maximum acquisition frequency of the heart rate sensor and the minimum acquisition frequency of the heart rate sensor; The first evaluation module is used to set the environmental detection device parameter evaluation value according to the maximum sensor acquisition frequency and the minimum temperature sensor acquisition frequency of the temperature sensor, and the maximum sensor acquisition frequency and the minimum humidity sensor acquisition frequency of the humidity sensor; wherein the environmental detection device parameter evaluation value is obtained by the following formula: , in, S Indicates the parameter evaluation value of the environmental detection equipment; S 1 represents the first environmental detection equipment parameter evaluation value component; S 2 represents the second environment detection equipment parameter evaluation value component; T d Indicates unit time; T 1min and T 1max Respectively represent the length of the acquisition time interval corresponding to the minimum acquisition frequency and the maximum acquisition frequency of the temperature sensor; F 1max and F 1min The maximum acquisition frequency of the temperature sensor and the minimum acquisition frequency of the temperature sensor are respectively represented; n Indicates the number of unit time contained in 24 hours; D f Indicates the value of the ambient temperature change between every two adjacent unit times; D c Indicates the maximum ambient temperature difference within 24 hours; T 2min and T 2max They respectively represent the length of the collection time interval corresponding to the minimum collection frequency and the maximum collection frequency of the humidity sensor; F 2max and F 2min The maximum acquisition frequency and the minimum acquisition frequency of the humidity sensor are respectively represented; W f Indicates the change amplitude of the ambient humidity between two adjacent unit times; W c Indicates the maximum ambient humidity difference within 24 hours; The second evaluation module is used to obtain a heart rate detection setting parameter evaluation value according to the maximum acquisition frequency of the heart rate sensor and the minimum acquisition frequency of the heart rate sensor; wherein the heart rate detection setting parameter evaluation value is obtained by the following formula: , in, X Indicates the evaluation value of the heart rate detection setting parameters; T 2min and T 2max Respectively represent the length of the collection time interval corresponding to the minimum collection frequency and the maximum collection frequency of the heart rate sensor; F 3max and F 3min Δ represents the maximum acquisition frequency and the minimum acquisition frequency of the heart rate sensor; T Indicates the minimum change time of abnormal heart rate changes in livestock health abnormalities; The acquisition frequency setting module is used to set the actual acquisition frequency of the temperature sensor, humidity sensor and heart rate sensor according to the environmental detection equipment parameter evaluation value and the heart rate detection setting parameter evaluation value.

[0010] Preferably, the acquisition frequency setting module includes: The first frequency setting module is used to set the actual acquisition frequency of the temperature sensor and the humidity sensor according to the parameter evaluation value of the environmental detection device; wherein the actual acquisition frequency of the temperature sensor and the humidity sensor is obtained by the following formula: , , Wherein, F1 and F2 represent the actual acquisition frequencies of the temperature sensor and the humidity sensor respectively; λ1 and λ2 represent the first proportional parameter and the second proportional parameter respectively, and the value range of λ1 is 0.63-0.68, and the value range of λ2 is 0.32-0.37; S 0 represents the preset environmental detection equipment parameter evaluation threshold; The second frequency setting module is used to set the actual acquisition frequency of the heart rate sensor according to the heart rate detection setting parameter evaluation value; wherein the actual acquisition frequency of the heart rate sensor is obtained by the following formula: , Among them, F3 represents the actual acquisition frequency of the heart rate sensor; X 0 represents the preset heart rate detection setting parameter evaluation threshold; λ3 represents the third proportional parameter, and the value range of λ3 is 0.68-0.74.

[0011] Preferably, the data processing module includes A data extraction unit is used to extract the real-time collected animal husbandry data, obtain the real-time collected animal husbandry data, and completely extract the animal husbandry data from the acquired animal husbandry data based on the large-scale epidemic monitoring requirements of animal husbandry management; A data retrieval unit is used to retrieve the extracted animal husbandry data, obtain the completely extracted animal husbandry data, retrieve the completely extracted animal husbandry data based on a sequential retrieval method, filter out the animal husbandry data that is worthless for large-scale epidemic monitoring of animal husbandry management, and determine the animal husbandry data that is valuable for large-scale epidemic monitoring of animal husbandry management; A data grouping unit is used to group the retrieved animal husbandry data, obtain the retrieved animal husbandry data, and effectively group the determined animal husbandry data that is valuable for large-scale epidemic monitoring of animal husbandry management based on the single variable value grouping method and the mutual exclusivity principle to form different groups, each of which contains different categories of animal husbandry data; The data calculation unit is used to calculate the grouped livestock breeding data, obtain the livestock breeding data of each group, calculate the livestock breeding data of each group based on arithmetic and logical operations, and determine the livestock breeding characterization data based on the large-scale epidemic monitoring requirements of livestock breeding management.

[0012] Preferably, the analysis and evaluation module includes: An index search unit is used to index and search the livestock breeding standard data, obtain the livestock breeding characterization data based on the large-scale epidemic monitoring requirements of livestock breeding management, and based on the livestock breeding characterization data, index and search the livestock breeding standard data corresponding to the livestock breeding characterization data from the stored multiple livestock breeding standard data; An extraction and transmission unit is used to extract and transmit the animal husbandry standard data, obtain the animal husbandry standard data corresponding to the animal husbandry characterization data found by the index, and extract and transmit the obtained animal husbandry standard data; The analysis and evaluation unit is used to analyze and evaluate the livestock breeding characterization data, compare and analyze the livestock breeding characterization data with the livestock breeding standard data, determine the corresponding comparative analysis results, and determine the analysis and evaluation report based on the large-scale epidemic monitoring requirements of livestock breeding management according to the comparative analysis results.

[0013] Preferably, the early warning control module includes The strategy formulation unit is used to determine the early warning, epidemic prevention and control strategy, obtain the analysis and evaluation report based on the large-scale epidemic monitoring requirements of animal husbandry and breeding management, and conduct association and correlation analysis on the analysis and evaluation report based on data mining technology to determine the corresponding early warning, epidemic prevention and control strategy; The early warning and control unit is used to carry out intelligent early warning and epidemic prevention and control on animal husbandry, obtain determined early warning and epidemic prevention and control strategies, and carry out intelligent early warning and epidemic prevention and control on animal husbandry according to the early warning and epidemic prevention and control strategies.

[0014] Preferably, the livestock breeding data collected in real time is preprocessed by performing the following operations: Obtain real-time livestock breeding data; Based on the large-scale epidemic monitoring requirements of animal husbandry management, animal husbandry data are fully extracted from the acquired animal husbandry data; Access to fully extracted livestock farming data; Based on the sequential retrieval method, the fully extracted livestock breeding data are retrieved, the livestock breeding data that are not valuable for large-scale epidemic monitoring of livestock breeding management are filtered out, and the livestock breeding data that are valuable for large-scale epidemic monitoring of livestock breeding management are determined; Get the retrieved livestock breeding data; Based on the single variable value grouping method and the mutual exclusivity principle, the livestock breeding data that are valuable for large-scale epidemic monitoring of livestock breeding management are effectively grouped to form different groups, and different categories of livestock breeding data are placed in each group; Obtain livestock breeding data for each group; Based on arithmetic and logical operations, the livestock breeding data of each group are calculated to determine the livestock breeding characterization data based on the large-scale epidemic monitoring requirements of livestock breeding management.

[0015] Preferably, the livestock breeding standard data corresponding to the livestock breeding characterization data is searched from the stored multiple livestock breeding standard data by indexing, and the following operations are performed: Obtain livestock breeding characterization data based on large-scale epidemic monitoring requirements of livestock breeding management; Extracting animal husbandry standard data one by one from the stored multiple animal husbandry standard data, and performing comparative analysis on the extracted animal husbandry standard data to determine whether the extracted animal husbandry standard data corresponds to the animal husbandry characterization data; In the case where the extracted animal husbandry standard data corresponds to the animal husbandry characterization data, the extracted animal husbandry standard data is transmitted; In the case where the extracted animal husbandry standard data does not correspond to the animal husbandry characterization data, the next animal husbandry standard data is extracted, and a comparative analysis is performed on the next animal husbandry standard data extracted until the next animal husbandry standard data extracted corresponds to the animal husbandry characterization data.

[0016] Preferably, the livestock breeding characterization data is analyzed and evaluated, and the following operations are performed: Obtain livestock breeding characterization data and livestock breeding standard data; Compare and analyze the livestock breeding characterization data with the livestock breeding standard data to determine the corresponding comparative analysis results, and determine the analysis and evaluation report based on the large-scale epidemic monitoring requirements of livestock breeding management according to the comparative analysis results; If the comparative analysis result shows that the livestock breeding characterization data is not within the range of livestock breeding standard data, the analysis and evaluation report determined that there is an abnormality in the livestock breeding management, and corresponding intelligent early warning and epidemic prevention control is required; If the comparative analysis results show that the livestock breeding characterization data is within the range of livestock breeding standard data, the determined analysis and evaluation report is that there is no abnormality in the livestock breeding management, and there is no need for corresponding intelligent early warning, epidemic prevention and control.

[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention collects animal husbandry data in real time, and based on the large-scale epidemic monitoring requirements of animal husbandry management, completely extracts animal husbandry data from the real-time collected animal husbandry data, and retrieves, groups and calculates the extracted animal husbandry data to determine animal husbandry characterization data; 2. The present invention searches out the standard data of animal husbandry through the animal husbandry characterization data index, analyzes and evaluates the animal husbandry characterization data with reference to the standard data of animal husbandry, determines an analysis and evaluation report based on the large-scale epidemic situation monitoring requirements of animal husbandry management, and performs association analysis and correlation analysis on the analysis and evaluation report based on data mining technology to determine the corresponding early warning, epidemic prevention and control strategy. According to the early warning, epidemic prevention and control strategy, intelligent early warning, epidemic prevention and control of animal husbandry are carried out, and real-time animal husbandry epidemic situation monitoring can be carried out in the animal husbandry process, and the animal husbandry epidemic situation management situation can be understood in real time, large-scale epidemic situation of animal husbandry can be avoided, and the animal husbandry management effect can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A module schematic diagram of a large-area epidemic monitoring system for livestock breeding management of the present invention; Figure 2 A structural diagram of a large-area epidemic monitoring system for livestock breeding management of the present invention; Figure 3 This is a flow chart of the algorithm for analyzing and evaluating livestock breeding characterization data and intelligent early warning and epidemic prevention control of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] In order to solve the existing problem that the livestock breeding process cannot be monitored in real time, resulting in the inability to understand the livestock breeding epidemic management in real time, making livestock prone to large-scale epidemics and poor livestock breeding management effects, please refer to Figure 1-Figure 3 , this embodiment provides the following technical solutions: A large-area epidemic monitoring system for livestock breeding management, comprising A real-time collection module is used to collect livestock breeding data in real time. Based on the large-scale epidemic monitoring requirements of livestock breeding management, the temperature, humidity and heart rate of the livestock are collected in real time to obtain real-time temperature, humidity and heart rate information. Based on the obtained temperature, humidity and heart rate information, the real-time collected livestock breeding data is determined; A data processing module is used to pre-process the livestock breeding data collected in real time, obtain the livestock breeding data collected in real time, and completely extract the livestock breeding data from the acquired livestock breeding data based on the large-scale epidemic monitoring requirements of livestock breeding management, and retrieve, group and calculate the extracted livestock breeding data to determine the livestock breeding representation data; An analysis and evaluation module is used to analyze and evaluate the livestock breeding characterization data, obtain the livestock breeding characterization data, and find out the livestock breeding standard data corresponding to the livestock breeding characterization data based on the livestock breeding characterization data index, analyze and evaluate the livestock breeding characterization data with reference to the livestock breeding standard data, and determine an analysis and evaluation report based on the large-scale epidemic monitoring requirements of livestock breeding management; The early warning and control module is used to carry out intelligent early warning, epidemic prevention and control of animal husbandry, obtain analysis and evaluation reports based on the large-scale epidemic monitoring requirements of animal husbandry management, conduct association analysis and correlation analysis on the analysis and evaluation reports based on data mining technology, determine the corresponding early warning, epidemic prevention and control strategies, and carry out intelligent early warning, epidemic prevention and control of animal husbandry according to the early warning, epidemic prevention and control strategies; The data storage module is used to store a variety of livestock breeding standard data and early warning, epidemic prevention and control strategies. It includes a data storage unit and a strategy storage unit. Each data storage unit stores different livestock breeding standard data, and each strategy storage unit stores different early warning, epidemic prevention and control strategies, which are used to provide reference guidance for large-scale epidemic monitoring of livestock breeding management.

[0021] Real-time acquisition module includes The temperature sensor is used to collect the temperature of the livestock in real time. The temperature sensor is installed on the ear of the livestock to obtain the temperature information of the livestock in real time. The humidity sensor is used to collect the humidity of the livestock in real time. It is installed on the ears of the livestock and obtains the humidity information of the livestock in real time through the humidity sensor. The heart rate sensor is used to collect the heart rate of the livestock in real time. It is installed on the ear of the livestock and obtains the heart rate information of the livestock in real time through the heart rate sensor.

[0022] Preferably, the real-time acquisition module further includes: A first frequency information extraction module, used to extract the maximum acquisition frequency of the temperature sensor and the minimum acquisition frequency of the temperature sensor; A second frequency information extraction module is used to extract the maximum acquisition frequency of the humidity sensor and the minimum acquisition frequency of the humidity sensor; A third frequency information extraction module is used to extract the maximum acquisition frequency of the heart rate sensor and the minimum acquisition frequency of the heart rate sensor; The first evaluation module is used to set the environmental detection device parameter evaluation value according to the maximum sensor acquisition frequency and the minimum temperature sensor acquisition frequency of the temperature sensor, and the maximum sensor acquisition frequency and the minimum humidity sensor acquisition frequency of the humidity sensor; wherein the environmental detection device parameter evaluation value is obtained by the following formula: , in, S Indicates the parameter evaluation value of the environmental detection equipment; S 1 represents the first environmental detection equipment parameter evaluation value component; S 2 represents the second environment detection equipment parameter evaluation value component; T d Indicates unit time; T 1min and T 1max Respectively represent the length of the acquisition time interval corresponding to the minimum acquisition frequency and the maximum acquisition frequency of the temperature sensor; F 1max and F 1min The maximum acquisition frequency of the temperature sensor and the minimum acquisition frequency of the temperature sensor are respectively represented; n Indicates the number of unit time contained in 24 hours; D f Indicates the value of the ambient temperature change between every two adjacent unit times; D c Indicates the maximum ambient temperature difference within 24 hours;T 2min and T 2max They respectively represent the length of the collection time interval corresponding to the minimum collection frequency and the maximum collection frequency of the humidity sensor; F 2max and F 2min The maximum acquisition frequency and the minimum acquisition frequency of the humidity sensor are respectively represented; W f Indicates the change amplitude of the ambient humidity between every two adjacent unit times; W c Indicates the maximum ambient humidity difference within 24 hours; The second evaluation module is used to obtain a heart rate detection setting parameter evaluation value according to the maximum acquisition frequency of the heart rate sensor and the minimum acquisition frequency of the heart rate sensor; wherein the heart rate detection setting parameter evaluation value is obtained by the following formula: , in, X Indicates the evaluation value of the heart rate detection setting parameters; T 2min and T 2max Respectively represent the length of the collection time interval corresponding to the minimum collection frequency and the maximum collection frequency of the heart rate sensor; F 3max and F 3min Δ represents the maximum acquisition frequency and the minimum acquisition frequency of the heart rate sensor; T Indicates the minimum change time of abnormal heart rate changes in livestock health abnormalities; The acquisition frequency setting module is used to set the actual acquisition frequency of the temperature sensor, humidity sensor and heart rate sensor according to the environmental detection equipment parameter evaluation value and the heart rate detection setting parameter evaluation value.

[0023] The technical effect of the above technical solution is: extracting the maximum acquisition frequency and the minimum acquisition frequency of the sensor: the first, second and third frequency information extraction modules are used to extract the maximum acquisition frequency and the minimum acquisition frequency of the temperature sensor, the humidity sensor and the heart rate sensor respectively. In this way, the available frequency range of each sensor can be determined.

[0024] Setting the evaluation value of the environmental detection equipment parameters: The first evaluation module evaluates the parameters of the environmental detection equipment based on the maximum and minimum acquisition frequencies of the temperature sensor and humidity sensor. By considering the frequency range of the sensor, appropriate parameter evaluation values ​​can be determined to ensure that the environmental detection equipment performs well when collecting temperature and humidity data.

[0025] Obtaining the evaluation value of the heart rate detection setting parameters: The second evaluation module evaluates the setting parameters of the heart rate detection according to the maximum acquisition frequency and the minimum acquisition frequency of the heart rate sensor. This can help determine the appropriate parameter evaluation value to ensure that the heart rate sensor can accurately detect the heart rate data.

[0026] Set the actual acquisition frequency: The acquisition frequency setting module sets the actual acquisition frequency of the temperature sensor, humidity sensor, and heart rate sensor according to the evaluation value of the environmental detection device parameters and the evaluation value of the heart rate detection setting parameters. This ensures that each sensor collects data at an appropriate frequency to meet performance requirements and accuracy requirements.

[0027] Therefore, the above technical solution provides an evaluation method based on the maximum and minimum acquisition frequencies of the sensor, and sets the actual acquisition frequency according to the evaluation results. This helps to ensure that the environmental detection equipment and the heart rate sensor can work with optimal performance and accuracy in different application scenarios. At the same time, the evaluation value of the detection setting parameter obtained in the above manner can effectively improve the evaluation accuracy of the sensor and the matching accuracy of its operating specifications with the current changes in the livestock environment.

[0028] Specifically, the acquisition frequency setting module includes: The first frequency setting module is used to set the actual acquisition frequency of the temperature sensor and the humidity sensor according to the parameter evaluation value of the environmental detection device; wherein the actual acquisition frequency of the temperature sensor and the humidity sensor is obtained by the following formula: , , Wherein, F1 and F2 represent the actual acquisition frequencies of the temperature sensor and the humidity sensor respectively; λ1 and λ2 represent the first proportional parameter and the second proportional parameter respectively, and the value range of λ1 is 0.63-0.68, and the value range of λ2 is 0.32-0.37; S 0 represents the preset environmental detection equipment parameter evaluation threshold; The second frequency setting module is used to set the actual acquisition frequency of the heart rate sensor according to the heart rate detection setting parameter evaluation value; wherein the actual acquisition frequency of the heart rate sensor is obtained by the following formula: , Among them, F3 represents the actual acquisition frequency of the heart rate sensor; X 0 represents the preset heart rate detection setting parameter evaluation threshold; λ3 represents the third proportional parameter, and the value range of λ3 is 0.68-0.74.

[0029] The technical effect of the above technical solution is: according to the evaluation value of the environmental detection equipment parameter, by setting the actual acquisition frequency of the temperature sensor and the humidity sensor. Through the evaluation value, the appropriate frequency range can be determined to ensure that the sensor collects temperature and humidity data at the optimal speed. In this way, the performance of the environmental detection equipment can be improved and accurate environmental data can be obtained.

[0030] According to the heart rate detection parameter evaluation value, the actual acquisition frequency of the heart rate sensor is set. Through the evaluation value, the appropriate frequency range can be determined to ensure that the heart rate sensor collects heart rate data at an appropriate speed. This helps to improve the accuracy and reliability of heart rate detection.

[0031] The above technical solution can optimize the performance of environmental detection equipment and heart rate sensors and ensure the accuracy of data by setting the actual acquisition frequency of the sensor according to the evaluation value of the environmental detection equipment parameters and the evaluation value of the heart rate detection setting parameters. This helps to provide high-quality environmental data and heart rate monitoring results, meet user needs, and support the effective deployment of various application scenarios. At the same time, the actual acquisition frequency of each sensor obtained in the above manner can effectively improve the rationality of the actual acquisition frequency setting and its matching with the livestock environment.

[0032] The data processing module includes A data extraction unit is used to extract the real-time collected animal husbandry data, obtain the real-time collected animal husbandry data, and completely extract the animal husbandry data from the acquired animal husbandry data based on the large-scale epidemic monitoring requirements of animal husbandry management; A data retrieval unit is used to retrieve the extracted animal husbandry data, obtain the completely extracted animal husbandry data, retrieve the completely extracted animal husbandry data based on a sequential retrieval method, filter out the animal husbandry data that is worthless for large-scale epidemic monitoring of animal husbandry management, and determine the animal husbandry data that is valuable for large-scale epidemic monitoring of animal husbandry management; A data grouping unit is used to group the retrieved animal husbandry data, obtain the retrieved animal husbandry data, and effectively group the determined animal husbandry data that is valuable for large-scale epidemic monitoring of animal husbandry management based on the single variable value grouping method and the mutual exclusivity principle to form different groups, each of which contains different categories of animal husbandry data; The data calculation unit is used to calculate the grouped livestock breeding data, obtain the livestock breeding data of each group, calculate the livestock breeding data of each group based on arithmetic and logical operations, and determine the livestock breeding characterization data based on the large-scale epidemic monitoring requirements of livestock breeding management.

[0033] The analysis and assessment modules include An index search unit is used to index and search the livestock breeding standard data, obtain the livestock breeding characterization data based on the large-scale epidemic monitoring requirements of livestock breeding management, and based on the livestock breeding characterization data, index and search the livestock breeding standard data corresponding to the livestock breeding characterization data from the stored multiple livestock breeding standard data; An extraction and transmission unit is used to extract and transmit the animal husbandry standard data, obtain the animal husbandry standard data corresponding to the animal husbandry characterization data found by the index, and extract and transmit the obtained animal husbandry standard data; The analysis and evaluation unit is used to analyze and evaluate the livestock breeding characterization data, compare and analyze the livestock breeding characterization data with the livestock breeding standard data, determine the corresponding comparative analysis results, and determine the analysis and evaluation report based on the large-scale epidemic monitoring requirements of livestock breeding management according to the comparative analysis results.

[0034] The early warning control module includes The strategy formulation unit is used to determine the early warning, epidemic prevention and control strategy, obtain the analysis and evaluation report based on the large-scale epidemic monitoring requirements of animal husbandry and breeding management, and conduct association and correlation analysis on the analysis and evaluation report based on data mining technology to determine the corresponding early warning, epidemic prevention and control strategy; The early warning and control unit is used to carry out intelligent early warning and epidemic prevention and control on animal husbandry, obtain determined early warning and epidemic prevention and control strategies, and carry out intelligent early warning and epidemic prevention and control on animal husbandry according to the early warning and epidemic prevention and control strategies.

[0035] Preprocess the livestock breeding data collected in real time and perform the following operations: Obtain real-time livestock breeding data; Based on the large-scale epidemic monitoring requirements of animal husbandry management, animal husbandry data are fully extracted from the acquired animal husbandry data; Access to fully extracted livestock farming data; Based on the sequential retrieval method, the fully extracted livestock breeding data are retrieved, the livestock breeding data that are not valuable for large-scale epidemic monitoring of livestock breeding management are filtered out, and the livestock breeding data that are valuable for large-scale epidemic monitoring of livestock breeding management are determined; Get the retrieved livestock breeding data; Based on the single variable value grouping method and the mutual exclusivity principle, the livestock breeding data that are valuable for large-scale epidemic monitoring of livestock breeding management are effectively grouped to form different groups, and different categories of livestock breeding data are placed in each group; Obtain livestock breeding data for each group; Based on arithmetic and logical operations, the livestock breeding data of each group are calculated to determine the livestock breeding characterization data based on the large-scale epidemic monitoring requirements of livestock breeding management.

[0036] The animal husbandry standard data corresponding to the animal husbandry characterization data is searched from the stored multiple animal husbandry standard data by indexing, and the following operations are performed: Obtain livestock breeding characterization data based on large-scale epidemic monitoring requirements of livestock breeding management; Extracting animal husbandry standard data one by one from the stored multiple animal husbandry standard data, and performing comparative analysis on the extracted animal husbandry standard data to determine whether the extracted animal husbandry standard data corresponds to the animal husbandry characterization data; In the case where the extracted animal husbandry standard data corresponds to the animal husbandry characterization data, the extracted animal husbandry standard data is transmitted; In the case where the extracted animal husbandry standard data does not correspond to the animal husbandry characterization data, the next animal husbandry standard data is extracted, and a comparative analysis is performed on the next animal husbandry standard data extracted until the next animal husbandry standard data extracted corresponds to the animal husbandry characterization data.

[0037] Analyze and evaluate the livestock breeding characterization data and perform the following operations: Obtain livestock breeding characterization data and livestock breeding standard data; Compare and analyze the livestock breeding characterization data with the livestock breeding standard data to determine the corresponding comparative analysis results, and determine the analysis and evaluation report based on the large-scale epidemic monitoring requirements of livestock breeding management according to the comparative analysis results; If the comparative analysis result shows that the livestock breeding characterization data is not within the range of livestock breeding standard data, the analysis and evaluation report determined that there is an abnormality in the livestock breeding management, and corresponding intelligent early warning and epidemic prevention control is required; If the comparative analysis results show that the livestock breeding characterization data is within the range of livestock breeding standard data, the determined analysis and evaluation report is that there is no abnormality in the livestock breeding management, and there is no need for corresponding intelligent early warning, epidemic prevention and control.

[0038] In summary, the large-area epidemic situation monitoring system for animal husbandry and breeding management of the present invention collects animal husbandry and breeding data in real time based on the large-area epidemic situation monitoring requirements of animal husbandry and breeding management, and pre-processes the animal husbandry and breeding data collected in real time to determine the animal husbandry and breeding characterization data, and finds the animal husbandry and breeding standard data corresponding to the animal husbandry and breeding characterization data based on the animal husbandry and breeding characterization data index, analyzes and evaluates the animal husbandry and breeding characterization data with reference to the animal husbandry and breeding standard data, and determines an analysis and evaluation report based on the large-area epidemic situation monitoring requirements of animal husbandry and breeding management, and performs association analysis and correlation analysis on the analysis and evaluation report based on data mining technology to determine the corresponding early warning, epidemic prevention and control strategy, and performs intelligent early warning, epidemic prevention and control on animal husbandry according to the early warning, epidemic prevention and control strategy, and can perform real-time animal husbandry epidemic situation monitoring on the animal husbandry and breeding process, and can understand the animal husbandry and breeding epidemic situation management situation in real time, avoid large-scale epidemic situation of animal husbandry, and improve the animal husbandry and breeding management effect.

[0039] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0040] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A large-area epidemic monitoring system for livestock breeding management, characterized in that: include A real-time collection module is used to collect livestock breeding data in real time. Based on the large-scale epidemic monitoring requirements of livestock breeding management, the temperature, humidity and heart rate of the livestock are collected in real time to obtain real-time temperature, humidity and heart rate information. Based on the obtained temperature, humidity and heart rate information, the real-time collected livestock breeding data is determined; A data processing module is used to pre-process the livestock breeding data collected in real time, obtain the livestock breeding data collected in real time, and completely extract the livestock breeding data from the acquired livestock breeding data based on the large-scale epidemic monitoring requirements of livestock breeding management, and retrieve, group and calculate the extracted livestock breeding data to determine the livestock breeding representation data; An analysis and evaluation module is used to analyze and evaluate the livestock breeding characterization data, obtain the livestock breeding characterization data, and find out the livestock breeding standard data corresponding to the livestock breeding characterization data based on the livestock breeding characterization data index, analyze and evaluate the livestock breeding characterization data with reference to the livestock breeding standard data, and determine an analysis and evaluation report based on the large-scale epidemic monitoring requirements of livestock breeding management; The early warning and control module is used to carry out intelligent early warning, epidemic prevention and control of animal husbandry, obtain analysis and evaluation reports based on the large-scale epidemic monitoring requirements of animal husbandry management, conduct association analysis and correlation analysis on the analysis and evaluation reports based on data mining technology, determine the corresponding early warning, epidemic prevention and control strategies, and carry out intelligent early warning, epidemic prevention and control of animal husbandry according to the early warning, epidemic prevention and control strategies; The data storage module is used to store a variety of livestock breeding standard data and early warning, epidemic prevention and control strategies. It includes a data storage unit and a strategy storage unit. Each data storage unit stores different livestock breeding standard data, and each strategy storage unit stores different early warning, epidemic prevention and control strategies, which are used to provide reference guidance for large-scale epidemic monitoring of livestock breeding management.

2. The large-area epidemic monitoring system for livestock breeding management according to claim 1, characterized in that: The real-time acquisition module includes The temperature sensor is used to collect the temperature of the livestock in real time. The temperature sensor is installed on the ear of the livestock to obtain the temperature information of the livestock in real time. The humidity sensor is used to collect the humidity of the livestock in real time. It is installed on the ears of the livestock and obtains the humidity information of the livestock in real time through the humidity sensor. The heart rate sensor is used to collect the heart rate of the livestock in real time. It is installed on the ear of the livestock and obtains the heart rate information of the livestock in real time through the heart rate sensor.

3. A large-area epidemic monitoring system for livestock breeding management according to claim 2, characterized in that: The real-time acquisition module also includes: A first frequency information extraction module, used to extract the maximum acquisition frequency of the temperature sensor and the minimum acquisition frequency of the temperature sensor; A second frequency information extraction module is used to extract the maximum acquisition frequency of the humidity sensor and the minimum acquisition frequency of the humidity sensor; A third frequency information extraction module is used to extract the maximum acquisition frequency of the heart rate sensor and the minimum acquisition frequency of the heart rate sensor; The first evaluation module is used to set the environmental detection device parameter evaluation value according to the maximum sensor acquisition frequency and the minimum temperature sensor acquisition frequency of the temperature sensor, and the maximum sensor acquisition frequency and the minimum humidity sensor acquisition frequency of the humidity sensor; wherein the environmental detection device parameter evaluation value is obtained by the following formula: ， in, S Indicates the parameter evaluation value of the environmental detection equipment; S 1 represents the first environmental detection equipment parameter evaluation value component; S 2 represents the second environmental detection equipment parameter evaluation value component; T d Indicates unit time; T 1min and T 1max Respectively represent the length of the acquisition time interval corresponding to the minimum acquisition frequency and the maximum acquisition frequency of the temperature sensor; F 1max and F 1min The maximum acquisition frequency of the temperature sensor and the minimum acquisition frequency of the temperature sensor are respectively represented; n Indicates the number of unit time contained in 24 hours; D f Indicates the value of the ambient temperature change between every two adjacent unit times; D c Indicates the maximum ambient temperature difference within 24 hours; T 2min and T 2max They respectively represent the length of the collection time interval corresponding to the minimum collection frequency and the maximum collection frequency of the humidity sensor; F 2max and F 2min The maximum acquisition frequency and the minimum acquisition frequency of the humidity sensor are respectively represented; W f Indicates the change amplitude of the ambient humidity between every two adjacent unit times; W c Indicates the maximum ambient humidity difference within 24 hours; The second evaluation module is used to obtain a heart rate detection setting parameter evaluation value according to the maximum acquisition frequency of the heart rate sensor and the minimum acquisition frequency of the heart rate sensor; wherein the heart rate detection setting parameter evaluation value is obtained by the following formula: ， in, X Indicates the evaluation value of the heart rate detection setting parameters; T 2min and T 2max Respectively represent the length of the collection time interval corresponding to the minimum collection frequency and the maximum collection frequency of the heart rate sensor; F 3max and F 3min Δ represents the maximum acquisition frequency and the minimum acquisition frequency of the heart rate sensor; T Indicates the minimum change time of abnormal heart rate changes in livestock health abnormalities; The acquisition frequency setting module is used to set the actual acquisition frequency of the temperature sensor, humidity sensor and heart rate sensor according to the environmental detection equipment parameter evaluation value and the heart rate detection setting parameter evaluation value.

4. The large-area epidemic monitoring system for livestock breeding management according to claim 2, characterized in that: The acquisition frequency setting module includes: The first frequency setting module is used to set the actual acquisition frequency of the temperature sensor and the humidity sensor according to the parameter evaluation value of the environmental detection device; wherein the actual acquisition frequency of the temperature sensor and the humidity sensor is obtained by the following formula: ， ， Wherein, F1 and F2 represent the actual acquisition frequencies of the temperature sensor and the humidity sensor respectively; λ1 and λ2 represent the first proportional parameter and the second proportional parameter respectively, and the value range of λ1 is 0.63-0.68, and the value range of λ2 is 0.32-0.37; S 0 represents the preset environmental detection equipment parameter evaluation threshold; The second frequency setting module is used to set the actual acquisition frequency of the heart rate sensor according to the heart rate detection setting parameter evaluation value; wherein the actual acquisition frequency of the heart rate sensor is obtained by the following formula: ， Among them, F3 represents the actual acquisition frequency of the heart rate sensor; X 0 represents the preset heart rate detection setting parameter evaluation threshold; λ3 represents the third proportional parameter, and the value range of λ3 is 0.68-0.

74.

5. The large-area epidemic monitoring system for livestock breeding management according to claim 2, characterized in that: The data processing module includes A data extraction unit is used to extract the real-time collected animal husbandry data, obtain the real-time collected animal husbandry data, and completely extract the animal husbandry data from the acquired animal husbandry data based on the large-scale epidemic monitoring requirements of animal husbandry management; A data retrieval unit is used to retrieve the extracted animal husbandry data, obtain the completely extracted animal husbandry data, retrieve the completely extracted animal husbandry data based on a sequential retrieval method, filter out the animal husbandry data that is worthless for large-scale epidemic monitoring of animal husbandry management, and determine the animal husbandry data that is valuable for large-scale epidemic monitoring of animal husbandry management; A data grouping unit is used to group the retrieved animal husbandry data, obtain the retrieved animal husbandry data, and effectively group the determined animal husbandry data that is valuable for large-scale epidemic monitoring of animal husbandry management based on the single variable value grouping method and the mutual exclusivity principle to form different groups, each of which contains different categories of animal husbandry data; The data calculation unit is used to calculate the grouped livestock breeding data, obtain the livestock breeding data of each group, calculate the livestock breeding data of each group based on arithmetic and logical operations, and determine the livestock breeding characterization data based on the large-scale epidemic monitoring requirements of livestock breeding management.

6. A large-area epidemic monitoring system for livestock breeding management according to claim 5, characterized in that: The analysis and evaluation module includes An index search unit is used to index and search the livestock breeding standard data, obtain the livestock breeding characterization data based on the large-scale epidemic monitoring requirements of livestock breeding management, and based on the livestock breeding characterization data, index and search the livestock breeding standard data corresponding to the livestock breeding characterization data from the stored multiple livestock breeding standard data; An extraction and transmission unit is used to extract and transmit the animal husbandry standard data, obtain the animal husbandry standard data corresponding to the animal husbandry characterization data found by the index, and extract and transmit the obtained animal husbandry standard data; The analysis and evaluation unit is used to analyze and evaluate the livestock breeding characterization data, compare and analyze the livestock breeding characterization data with the livestock breeding standard data, determine the corresponding comparative analysis results, and determine the analysis and evaluation report based on the large-scale epidemic monitoring requirements of livestock breeding management according to the comparative analysis results.

7. A large-area epidemic monitoring system for livestock breeding management according to claim 6, characterized in that: The early warning control module includes The strategy formulation unit is used to determine the early warning, epidemic prevention and control strategy, obtain the analysis and evaluation report based on the large-scale epidemic monitoring requirements of animal husbandry and breeding management, and conduct association and correlation analysis on the analysis and evaluation report based on data mining technology to determine the corresponding early warning, epidemic prevention and control strategy; The early warning and control unit is used to carry out intelligent early warning and epidemic prevention and control on animal husbandry, obtain determined early warning and epidemic prevention and control strategies, and carry out intelligent early warning and epidemic prevention and control on animal husbandry according to the early warning and epidemic prevention and control strategies.

8. A large-area epidemic monitoring system for livestock breeding management according to claim 7, characterized in that: Preprocess the livestock breeding data collected in real time and perform the following operations: Obtain real-time livestock breeding data; Based on the large-scale epidemic monitoring requirements of animal husbandry management, animal husbandry data are fully extracted from the acquired animal husbandry data; Access to fully extracted livestock farming data; Based on the sequential retrieval method, the fully extracted livestock breeding data are retrieved, the livestock breeding data that are not valuable for large-scale epidemic monitoring of livestock breeding management are filtered out, and the livestock breeding data that are valuable for large-scale epidemic monitoring of livestock breeding management are determined; Get the retrieved livestock breeding data; Based on the single variable value grouping method and the mutual exclusivity principle, the livestock breeding data that are valuable for large-scale epidemic monitoring of livestock breeding management are effectively grouped to form different groups, and different categories of livestock breeding data are placed in each group; Obtain livestock breeding data for each group; Based on arithmetic and logical operations, the livestock breeding data of each group are calculated to determine the livestock breeding characterization data based on the large-scale epidemic monitoring requirements of livestock breeding management.

9. A large-area epidemic monitoring system for livestock breeding management according to claim 8, characterized in that: The animal husbandry standard data corresponding to the animal husbandry characterization data is searched from the stored multiple animal husbandry standard data by indexing, and the following operations are performed: Obtain livestock breeding characterization data based on large-scale epidemic monitoring requirements of livestock breeding management; Extracting animal husbandry standard data one by one from the stored multiple animal husbandry standard data, and performing comparative analysis on the extracted animal husbandry standard data to determine whether the extracted animal husbandry standard data corresponds to the animal husbandry characterization data; In the case where the extracted animal husbandry standard data corresponds to the animal husbandry characterization data, the extracted animal husbandry standard data is transmitted; In the case where the extracted animal husbandry standard data does not correspond to the animal husbandry characterization data, the next animal husbandry standard data is extracted, and a comparative analysis is performed on the next animal husbandry standard data extracted until the next animal husbandry standard data extracted corresponds to the animal husbandry characterization data.

10. A large-area epidemic monitoring system for livestock breeding management according to claim 9, characterized in that: Analyze and evaluate the livestock breeding characterization data and perform the following operations: Obtain livestock breeding characterization data and livestock breeding standard data; Compare and analyze the livestock breeding characterization data with the livestock breeding standard data to determine the corresponding comparative analysis results, and determine the analysis and evaluation report based on the large-scale epidemic monitoring requirements of livestock breeding management according to the comparative analysis results; If the comparative analysis result shows that the livestock breeding characterization data is not within the range of livestock breeding standard data, the analysis and evaluation report determined that there is an abnormality in the livestock breeding management, and corresponding intelligent early warning and epidemic prevention control is required; If the comparative analysis results show that the livestock breeding characterization data is within the range of livestock breeding standard data, the determined analysis and evaluation report is that there is no abnormality in the livestock breeding management, and there is no need for corresponding intelligent early warning, epidemic prevention and control.

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