An intelligent monitoring, tracing and early warning management system covering the whole link of animal epidemic disease

Abstract

The application discloses an intelligent monitoring, tracing and early warning management system covering the whole link of animal epidemic diseases, and relates to the technical field of intelligent animal husbandry and epidemic disease prevention and control. The system comprises a monitoring and sampling management module for collecting animal epidemic disease data, an epidemic disease data management module connected with the monitoring and sampling management module for centralized storage, statistical analysis and whole-link tracing of the animal epidemic disease data, a risk early warning analysis module connected with the epidemic disease data management module for animal epidemic disease risk assessment and early warning pushing, a field point collaborative management module connected with the risk early warning analysis module for information intercommunication and task collaboration between a supervision party and a breeding subject, and a system support module connected with the four modules for user identity authentication and data encrypted storage and providing an external system expansion interface. The application can significantly improve the epidemic disease prevention and control efficiency, data accuracy and early warning response speed, and is suitable for large-scale breeding farms and regional animal epidemic disease supervision scenes.

Description

Technical Field

[0001] This invention relates to the field of smart animal husbandry and disease prevention and control technology, and in particular to an intelligent monitoring, tracing and early warning management system covering the entire chain of animal diseases. Background Technology

[0002] Animal disease prevention and control is a crucial link in ensuring the healthy and stable development of animal husbandry and safeguarding public health security. Traditional animal disease monitoring and management models generally rely on a process of "manual sampling, laboratory testing, paper records, and hierarchical reporting." Although certain standards have been established through long-term practice, in the context of the digital and intelligent era, its inherent technical and management bottlenecks are becoming increasingly prominent, making it difficult to meet the urgent needs of modern, large-scale farming for real-time and precise disease prevention and control.

[0003] The following problems exist in the current management of animal diseases: information is isolated in the sampling, testing and data storage links, forming a broken link; manual recording and statistics are prone to errors and difficult to trace; early warning relies on manual analysis, resulting in a delayed response; and multiple systems running in parallel lead to low management efficiency.

[0004] Therefore, proposing an intelligent monitoring, tracing, and early warning management system covering the entire chain of animal diseases to solve the difficulties of existing technologies is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] In view of this, the present invention provides an intelligent monitoring, tracing and early warning management system covering the entire chain of animal diseases, which can significantly improve the efficiency of disease prevention and control, data accuracy and early warning response speed, and is suitable for large-scale farms and regional animal disease supervision scenarios.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: An intelligent monitoring, tracing, and early warning management system covering the entire animal disease chain includes: The monitoring and sampling management module is used to manage sampling tasks and collect animal disease data; The disease data management module, connected to the monitoring and sampling management module, is used for centralized storage, statistical analysis, and full-chain traceability of animal disease data. The risk warning and analysis module is connected to the disease data management module and is used to conduct risk assessment and early warning push based on real-time animal disease data and disease transmission models. The site collaborative management module is connected to the risk early warning and analysis module, which is used for information exchange and task collaboration between regulators and aquaculture operators. The system support module connects to the above four modules respectively, and is used for user authentication and encrypted data storage, and provides an external system expansion interface.

[0007] The above system, optionally, includes a monitoring and sampling management module comprising: a task management subunit, a sampling execution subunit, a detection data subunit, and a data reporting subunit connected in sequence; The task management subunit is used to associate sampling task documents, create, assign, and notify sampling tasks; The sampling execution subunit is used to perform sampling tasks, including: generating barcodes, entering sampling information, and verifying sample receipt. The detection data subunit is used to connect with the detection equipment to automatically collect results or to perform manual data entry. The data reporting sub-unit is used to generate reports of animal disease data in accordance with national standard formats and report them synchronously.

[0008] The above-mentioned system, optionally, includes an epidemic data management module comprising: a basic database, a statistical analysis subunit, and a source tracing subunit connected in sequence; Basic database: Used to store site information, livestock and poultry records, sampling and testing historical data, and supports multi-dimensional retrieval; Statistical Analysis Subunit: Used to automatically generate visualized reports on disease monitoring statistics, epidemic distribution statistics, and site risk statistics; Traceability Subunit: Used to link sampling, testing and site data through barcodes and livestock IDs to achieve full-chain traceability of disease cases.

[0009] The aforementioned system, optionally, includes a risk warning analysis module comprising: a risk assessment subunit, a warning delivery subunit, and a contingency plan association subunit connected in sequence; The risk assessment subunit has a built-in disease transmission model, which is used to calculate the risk level based on the positive rate of sampling and testing and the density of the site. The early warning delivery subunit is used to issue early warnings based on risk levels, and supports large-screen display, risk map display, SMS or platform push notifications and announcements. The contingency plan association sub-unit is used to automatically match prevention and control contingency plans based on risk levels.

[0010] The above-mentioned system may optionally include a site collaborative management module, comprising: a site information subunit, a task feedback subunit, and a file sharing subunit; Farm site information sub-unit: used by breeding entities to independently maintain farm site and livestock and poultry inventory data, and supports verification by regulators; Task feedback subunit: used by the aquaculture entity to receive sampling and prevention tasks and provide feedback on the execution progress; Archive sharing sub-unit: used to make the farm's historical disease data and risk warnings available to aquaculture operators.

[0011] The above-mentioned system, optionally, includes a system support module comprising: a permission management subunit, a data security subunit, and an interface extension subunit connected in sequence; The access control subunit is used for user authentication and assigning operation permissions according to roles. The data security subunit is used to implement encrypted data storage and operation log recording; The interface extension subunit is used to provide external system extension interfaces, supporting integration with third-party IoT or traceability systems.

[0012] As can be seen from the above technical solution, compared with the prior art, the present invention provides an intelligent monitoring, tracing, and early warning management system covering the entire chain of animal diseases, which has the following beneficial effects: This invention constructs an end-to-end digital closed loop of "sampling-detection-data-early warning-management," realizing closed-loop management and data connectivity throughout the entire disease monitoring process, greatly improving the efficiency and accuracy of prevention and control. Relying on a unified livestock / farm identification system (such as unique barcodes) and full-link data association, when a positive case occurs, the system can accurately locate the same group of livestock, related farms, and historical activity trajectories within minutes, shortening the source tracing investigation time from the traditional several days to hours, providing crucial information support for rapid epidemic containment. A dynamic intelligent risk assessment model has been constructed, achieving a fundamental shift from passive response to proactive early warning. Early warning information not only includes risk levels but also automatically matches and pushes preset prevention and control plans (such as enhanced monitoring and isolation / lockdown recommendations), and reaches regulatory and breeding personnel through multiple channels such as large screens, SMS, and in-app notifications, significantly improving the initiative and scientific nature of risk response. It breaks down information barriers between regulators and breeding entities, constructing a highly efficient and collaborative prevention and control community through the farm collaborative management module. The system enables online issuance of prevention and control tasks, progress tracking, and result feedback, forming a "two-way real-time information flow" between regulatory instructions and execution feedback. Farmers can conveniently maintain their own data, receive risk alerts, and view historical disease records through the system, transforming passive management into proactive participation and enhancing their biosecurity awareness and refined prevention and control capabilities. The fully digital data collection and automated integration minimizes manual intervention, fundamentally ensuring data consistency and reliability. Through strict access control, full-process operation log recording, and encrypted data transmission and storage, the system ensures the security of sensitive disease data and achieves automatic compatibility with national and local regulatory platforms, ensuring compliant and seamless data reporting. Through standardized interface extension units, the system can easily connect to third-party systems such as IoT sensors in the farming environment, smart wearable devices, slaughtering and processing traceability systems, and veterinary drug and feed management platforms, bridging the information gap between regulators and farmers and enabling two-way flow of prevention and control tasks. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0014] Figure 1 This invention provides a structural diagram of an intelligent monitoring, tracing, and early warning management system covering the entire animal disease chain. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] In this application, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0017] Reference Figure 1 As shown, this invention discloses an intelligent monitoring, tracing, and early warning management system covering the entire animal disease chain, including: The monitoring and sampling management module is used to manage sampling tasks and collect animal disease data; The disease data management module, connected to the monitoring and sampling management module, is used for centralized storage, statistical analysis, and full-chain traceability of animal disease data. The risk warning and analysis module is connected to the disease data management module and is used to conduct risk assessment and early warning push based on real-time animal disease data and disease transmission models. The site collaborative management module is connected to the risk early warning and analysis module, which is used for information exchange and task collaboration between regulators and aquaculture operators. The system support module connects to the above four modules respectively, and is used for user authentication and encrypted data storage, and provides an external system expansion interface.

[0018] Furthermore, the various modules of the system can interact in real time through data interfaces.

[0019] Furthermore, the monitoring and sampling management module includes: a task management subunit, a sampling execution subunit, a detection data subunit, and a data reporting subunit connected in sequence; The task management sub-unit is used to associate sampling task documents (sampling specifications, form templates), create, assign, and notify sampling tasks; The sampling execution subunit is used to perform sampling tasks, including: generating barcodes (sampling specifications, form templates), entering sampling information (time / location / personnel), and verifying sample receipt; The detection data subunit is used to connect with the detection equipment to automatically collect results or to perform manual data entry. The data reporting sub-unit is used to generate reports of animal disease data in accordance with national standard formats and report them synchronously.

[0020] Furthermore, the disease data management module includes: a basic database, a statistical analysis sub-unit, and a source tracing sub-unit, which are connected sequentially; Basic database: Used to store site information, livestock and poultry records, sampling and testing historical data, and supports multi-dimensional retrieval; Statistical Analysis Subunit: Used to automatically generate visualized reports on disease monitoring statistics, epidemic distribution statistics, and site risk statistics; Traceability Subunit: Used to link sampling, testing and site data through barcodes and livestock IDs to achieve full-chain traceability of disease cases.

[0021] Furthermore, the risk warning analysis module includes: a risk assessment subunit, a warning delivery subunit, and a contingency plan association subunit connected in sequence; The risk assessment subunit has a built-in disease transmission model, which is used to calculate the risk level based on the positive rate of sampling and testing and the density of the site. The early warning delivery subunit is used to issue early warnings based on risk levels, and supports large-screen display, risk map display, SMS or platform push notifications and announcements. The contingency plan is associated with sub-units that are used to automatically match prevention and control plans (such as adjustments to sampling frequency and isolation measures) based on the risk level.

[0022] Furthermore, the site collaborative management module includes: a site information subunit, a task feedback subunit, and a file sharing subunit; Farm site information sub-unit: used by breeding entities to independently maintain farm site and livestock and poultry inventory data, and supports verification by regulators; Task feedback subunit: used by the aquaculture entity to receive sampling and prevention tasks and provide feedback on the execution progress; Archive sharing sub-unit: used to make the farm's historical disease data and risk warnings available to aquaculture operators.

[0023] Furthermore, the system support module includes: a permission management subunit, a data security subunit, and an interface extension subunit connected in sequence; The access control subunit is used for user authentication and to assign operation permissions according to roles (supervisor / sampler / farmer); The data security subunit is used to implement encrypted data storage and operation log recording; The interface extension subunit is used to provide external system extension interfaces to support the connection with third-party IoT or traceability systems (such as aquaculture IoT devices and logistics traceability systems).

[0024] In one specific embodiment, African swine fever monitoring in large-scale pig farms is taken as an example: Task initiation: The regulator creates a monitoring task through the "Monitoring and Sampling Management Module", specifies the pig farm and the number of samples, and pushes it to the sampler; Sampling execution: After the sampler arrives on site, a unique "livestock barcode" is generated through the system, the sampling information (pig ID / pen) is entered, and the sample is submitted after on-site verification; Testing and Reporting: Testing institutions connect to the "Testing Data Sub-unit" through their equipment to automatically upload test results, and the system generates national standard reports that are synchronized to the Ministry of Agriculture and Rural Affairs system; Data statistics and source tracing: The "Disease Data Management Module" generates the positive rate statistics for the pig farm. If a positive result is found, the "Source Tracing Sub-unit" can be used to locate the pigs in the same batch and the contact sites. Risk Warning: The "Risk Warning Analysis Module" calculates the risk level as "High" and automatically sends a warning SMS to the supervisor / pig farm manager, while simultaneously displaying the risk area on the large screen; Farm-site collaboration: Pig farms receive isolation plans and report on the execution progress through the "farm-site collaboration management module," and regulators can view the task completion status in real time.

[0025] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be referred to the descriptions in the method embodiments. The systems and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0026] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent monitoring, tracing, and early warning management system covering the entire chain of animal diseases, characterized in that, include: The monitoring and sampling management module is used to manage sampling tasks and collect animal disease data; The disease data management module, connected to the monitoring and sampling management module, is used for centralized storage, statistical analysis, and full-chain traceability of animal disease data. The risk warning and analysis module is connected to the disease data management module and is used to conduct risk assessment and early warning push based on real-time animal disease data and disease transmission models. The site collaborative management module is connected to the risk early warning and analysis module, which is used for information exchange and task collaboration between regulators and aquaculture operators. The system support module connects to the above four modules respectively, and is used for user authentication and encrypted data storage, and provides external system expansion interfaces.

2. The intelligent monitoring, tracing, and early warning management system covering the entire animal disease chain according to claim 1, characterized in that, The monitoring and sampling management module includes: a task management subunit, a sampling execution subunit, a detection data subunit, and a data reporting subunit connected in sequence; The task management subunit is used to associate sampling task documents, create, assign, and notify sampling tasks; The sampling execution subunit is used to perform sampling tasks, including: generating barcodes, entering sampling information, and verifying sample receipt. The detection data subunit is used to connect with the detection equipment to automatically collect results or to perform manual data entry. The data reporting sub-unit is used to generate reports of animal disease data in accordance with national standard formats and report them synchronously.

3. The intelligent monitoring, tracing, and early warning management system covering the entire animal disease chain according to claim 2, characterized in that, The disease data management module includes: a basic database, a statistical analysis sub-unit, and a source tracing sub-unit, which are connected sequentially. Basic database: Used to store site information, livestock and poultry records, sampling and testing historical data, and supports multi-dimensional retrieval; Statistical Analysis Subunit: Used to automatically generate visualized reports on disease monitoring statistics, epidemic distribution statistics, and site risk statistics; Traceability Subunit: Used to link sampling, testing and site data through barcodes and livestock IDs to achieve full-chain traceability of disease cases.

4. The intelligent monitoring, tracing, and early warning management system covering the entire animal disease chain according to claim 3, characterized in that, The risk warning and analysis module includes: a risk assessment sub-unit, a warning delivery sub-unit, and a contingency plan association sub-unit connected in sequence; The risk assessment subunit has a built-in disease transmission model, which is used to calculate the risk level based on the positive rate of sampling and testing and the density of the site. The early warning delivery subunit is used to issue early warnings on risk levels, and supports large-screen display, risk map display, SMS or platform push and announcement release; The contingency plan association sub-unit is used to automatically match prevention and control contingency plans based on risk levels.

5. The intelligent monitoring, tracing, and early warning management system covering the entire animal disease chain according to claim 4, characterized in that, The site collaborative management module includes: site information sub-unit, task feedback sub-unit, and file sharing sub-unit; Farm site information sub-unit: used by breeding entities to independently maintain farm site and livestock and poultry inventory data, and supports verification by regulatory authorities; Task feedback subunit: used by the aquaculture entity to receive sampling and prevention tasks and provide feedback on the execution progress; Archive sharing sub-unit: used to make the farm's historical disease data and risk warnings available to aquaculture operators.

6. The intelligent monitoring, tracing, and early warning management system covering the entire animal disease chain according to claim 5, characterized in that, The system support module includes: a permission management subunit, a data security subunit, and an interface extension subunit connected in sequence; The access control subunit is used for user authentication and assigning operation permissions according to roles. The data security subunit is used to implement encrypted data storage and operation log recording; The interface extension subunit is used to provide external system extension interfaces, supporting integration with third-party IoT or traceability systems.

Images