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CN-122025132-A - Visual interactive monitoring system for health of livestock and poultry

CN122025132ACN 122025132 ACN122025132 ACN 122025132ACN-122025132-A

Abstract

The invention relates to the technical field of prevention and control of animal epidemic diseases, and discloses a livestock and poultry health visualization interaction monitoring system which comprises a data acquisition module and a health evaluation module, wherein the data acquisition module is used for acquiring and structurally storing multi-source heterogeneous data from a breeding environment, livestock and poultry groups and individuals in real time, and the health evaluation module is used for parallelly calculating environmental comfort, regional health values and dynamic individual health values of associated individual history files based on the multi-source heterogeneous data. According to the livestock and poultry health visualization interaction monitoring system, three dimensions of environment comfort level evaluation, regional group health evaluation and individual dynamic health evaluation are integrated, and archive information such as individual immune records and disease histories is innovatively brought into a real-time analysis model, so that three-dimensional monitoring of potential association of environment risks, group anomalies and individual epidemic diseases is realized. The method breaks through the limitation that the traditional monitoring only focuses on a single physical index or behavior index, and provides a comprehensive data basis for early discovery and blocking of zoonosis propagation chains.

Inventors

  • Fu Xianqin
  • YU CHENGJIAO

Assignees

  • 平邑县畜牧发展促进中心

Dates

Publication Date
20260512
Application Date
20260130

Claims (8)

  1. 1. A visual interactive monitoring system for livestock health is characterized by comprising: the data acquisition module is used for acquiring and structuring multi-source heterogeneous data from the breeding environment, livestock and poultry groups and individuals in real time; the health evaluation module is connected to the data acquisition module and is used for parallelly calculating environment comfort level, area health value and dynamic individual health value associated with individual history files based on the multi-source heterogeneous data; The fusion early warning module is connected to the health evaluation module and used for fusing the environmental comfort level, the regional health value and the dynamic individual health value to generate a comprehensive health risk index, and carrying out intelligent early warning analysis based on a preset multi-level risk threshold model to identify key risk factors; and the visual interaction and decision support module is connected with the fusion early warning module and is used for displaying early warning information and health situation in a graphical mode, interactively highlighting the key risk factors and providing preliminary treatment suggestions based on the key risk factors.
  2. 2. The visual interaction monitoring system for livestock and poultry health according to claim 1, wherein the data acquisition module specifically comprises: the environment parameter acquisition unit is deployed in the cultivation house and is provided with a temperature and humidity sensor, a harmful gas sensor and a particulate matter sensor for acquiring a physical environment data set; The regional situation acquisition unit is deployed in a key region of the breeding house and is provided with an infrared thermal imager, an intelligent visual analysis camera, an intelligent feeder and a water dispenser, and is used for acquiring a regional data set containing a livestock and poultry distribution thermodynamic diagram, group activity data and resource consumption data; the system comprises an individual physiology and identity acquisition unit which is worn on livestock and poultry individuals and is provided with a biosensor and a radio frequency identification reader-writer for acquiring real-time physiological data of the individuals and reading an individual unique identification code bound with an electronic identity file of a blockchain storage card, wherein the electronic identity file at least records an individual immunization history and a past disease history.
  3. 3. The visual interactive monitoring system for livestock and poultry health according to claim 2, wherein the health evaluation module specifically comprises: The environment comfort level computing sub-module is used for computing environment comfort level by adopting a weighted normalization algorithm according to the physical environment data set; the regional health value calculating submodule is used for calculating regional health values according to the regional data set by fusing the livestock and poultry density, the activity abnormality index and the temperature field distribution; The dynamic individual health value calculation submodule is used for calculating the dynamic individual health value according to the individual real-time physiological data and the associated file called from the blockchain, and the calculation formula is as follows: Wherein, the Representing a base health value calculated based on current individual physiological data, Represents the immune status coefficient calculated based on compliance and timeliness of the individual's immune record, Representing a historical risk factor calculated based on the past disease history of the individual.
  4. 4. The visual interaction monitoring system for livestock and poultry health according to claim 3, wherein the fusion early warning module specifically comprises: the data fusion engine is used for receiving the environmental comfort level, the regional health value and the dynamic individual health value, calculating the comprehensive health risk index by adopting a nonlinear weighted fusion model, and configuring the weight of the model for different epidemic disease early warning scenes; The multistage early warning analyzer is connected to the data fusion engine, and early warning logic comprises: Triggering individual abnormality early warning when the dynamic individual health value is lower than a first threshold value; Triggering group risk early warning when the comprehensive health risk index exceeds a second threshold value; and triggering epidemic disease diffusion high-risk early warning when the comprehensive health risk index continuously exceeds a higher third threshold value and a plurality of individual health values are detected to decline in a linkage mode.
  5. 5. The visual interaction monitoring system for livestock and poultry health according to claim 4, wherein the fusion early warning module further comprises a risk factor identification unit for analyzing and outputting a dimension or parameter with the highest contribution degree to the current risk as the key risk factor when the early warning is triggered.
  6. 6. The visual interaction monitoring system for livestock and poultry health according to claim 5, wherein the visual interaction and decision support module specifically comprises: The comprehensive situation cockpit is used for displaying the real-time state and the historical trend of the environmental comfort level, the health value of each area, the individual health value distribution and the comprehensive health risk index of the whole field in a centralized manner; An interactive traceability view responds to the operation of a user on early warning information, and dynamically associates and hierarchically displays all bottom data related to the early warning, history files of associated individuals and history data curves; And the intelligent suggestion panel is used for matching and pushing text treatment suggestions from a preset prevention and control strategy library according to the key risk factors identified by the fusion early warning module, wherein the suggestions comprise at least one of environment regulation, individual review and immune check.
  7. 7. The visual interactive monitoring system for livestock and poultry health according to claim 6, further comprising: And the control closed loop management unit is used for recording early warning events, treatment suggestions, user execution feedback and subsequent health data changes as a complete control event chain into the blockchain electronic identity files of related individuals to form a traceable control management closed loop.
  8. 8. The visual interactive monitoring system for livestock and poultry health according to claim 7, wherein a remote expert collaboration platform is further connected, and the visual interactive and decision support module can generate a shared report from specified early warning details, analysis views and treatment suggestions, and send the shared report to a specified expert through the platform to acquire remote diagnosis opinions, wherein the remote diagnosis opinions are included in a corresponding prevention and control event chain.

Description

Visual interactive monitoring system for health of livestock and poultry Technical Field The invention relates to the technical field of prevention and control of animal epidemic diseases, in particular to a visual interaction monitoring system for livestock and poultry health. Background The increase of the culture density aggravates the risk of spreading animal epidemic diseases, particularly zoonotic diseases (such as avian influenza, brucellosis and the like), and early prevention and control (including immunization, monitoring and purification) of the diseases are important for guaranteeing the safe production of animal husbandry, public health and safety and animal welfare. Currently, monitoring technologies for livestock and poultry health focus on a single dimension, for example, part of systems realize automatic monitoring and regulation of basic parameters of a breeding environment (similar to CN 206451057U) by deploying sensors of temperature, humidity, gas and the like, but mainly focus on physical environment, lack deep perception of physiological states and abnormal behaviors of animal individuals, and other technologies focus on classifying and identifying behavior patterns of livestock and poultry by using wearable equipment (such as acceleration sensors) or video analysis so as to judge the health conditions (similar to CN 105091938B), and the methods can capture abnormal behaviors of the individuals, but often are disjointed with environmental data, and are difficult to effectively link monitoring results with specific epidemic disease prevention and control links (such as immune archives and abnormal symptom association). The existing monitoring scheme has the problems of data island and interaction barriers, so that multi-source information such as environmental data, group behavior data, individual physiological data and the like are mutually independent, an effective fusion analysis model is lacked, comprehensive evaluation of health risks (especially early warning of epidemic diseases) of livestock and poultry groups is difficult to form, the existing system stays at a data display and simple alarm level, visual interaction capability for immune, monitoring and purifying closed-loop management processes is lacked, a breeding manager cannot intuitively and quickly locate risk sources (such as a certain individual, a certain area and a certain environmental parameter), targeted processing suggestions based on multi-dimensional data analysis are difficult to obtain, decision delay is caused, and precise prevention and control and quick intervention are difficult to realize. Disclosure of Invention In view of the problems of data island and interaction barriers commonly existing in the existing monitoring scheme, so that multi-source information such as environmental data, group behavior data and individual physiological data are mutually independent, the existing system is in a data display and simple alarm layer, and lacks visual interaction capability for an immune, monitoring and purifying closed-loop management flow, and a breeding manager cannot intuitively and rapidly locate a risk source, the invention is provided. Therefore, the invention aims to provide a visual interaction monitoring system for livestock and poultry health, which aims to provide an intelligent monitoring system which can deeply fuse multidimensional health data and serve early warning and accurate prevention and control of livestock and poultry epidemic diseases in a visual and interactive mode. In order to solve the technical problems, the invention provides the following technical scheme that the visual interaction monitoring system for livestock health comprises: the data acquisition module is used for acquiring and structuring multi-source heterogeneous data from the breeding environment, livestock and poultry groups and individuals in real time; the health evaluation module is connected to the data acquisition module and is used for parallelly calculating environment comfort level, area health value and dynamic individual health value associated with individual history files based on the multi-source heterogeneous data; The fusion early warning module is connected to the health evaluation module and used for fusing the environmental comfort level, the regional health value and the dynamic individual health value to generate a comprehensive health risk index, and carrying out intelligent early warning analysis based on a preset multi-level risk threshold model to identify key risk factors; and the visual interaction and decision support module is connected with the fusion early warning module and is used for displaying early warning information and health situation in a graphical mode, interactively highlighting the key risk factors and providing preliminary treatment suggestions based on the key risk factors. As a preferable scheme of the visual interaction monitoring system for livestock and poultry healt