A digital system for monitoring animal diseases

Abstract

The present invention requests protection for a digital animal disease monitoring system, which includes a task module, a sample collection module, a sample detection module, a result reporting module and a data application module connected in sequence; the task module is used to establish a disease monitoring task; the sample collection module establishes a connection between the sample and the disease monitoring task through the sample tag; the sample detection module is used to carry out laboratory testing according to the disease monitoring task and obtain disease detection data; the result reporting module is used to enter the disease detection data that needs to be reported; the data application module analyzes the reported disease detection data to determine the disease situation in each region. Through process reengineering and system reshaping, a digital animal disease monitoring system for the whole province is constructed, and six major business modules such as task issuance, sample collection, sample reception, sample detection, result reporting, and data application are designed and developed, realizing paperless sampling and detection of animal diseases, and effectively improving the quality and efficiency of monitoring.

Description

Technical Field

[0001] The present invention relates to the field of disease monitoring, and more specifically, to a digital animal disease monitoring system. Background Art

[0002] Animal epidemic prevention is related to the production safety of the breeding industry, public health safety and livestock product safety. In recent years, the animal epidemic prevention situation has been complicated, and the pressure to prevent and control major animal diseases and zoonoses such as African swine fever, highly pathogenic avian influenza, and brucellosis has increased. Animal disease monitoring is a basic measure for animal disease prevention and control, and plays an important role in immune assessment, disease detection, and epidemic early warning. At present, there are many problems in disease monitoring work, such as time-consuming sample information collection, low integrity and accuracy of sample information, poor information flow, and slow data return. The traditional monitoring system can no longer meet the needs of animal disease prevention and control. It is urgent to use digital technology to optimize and upgrade the monitoring system and improve the quality and efficiency of animal disease monitoring.

[0003] Therefore, digital transformation of the disease monitoring process is exactly the technical problem that this application aims to solve. Summary of the invention

[0004] In view of the shortcomings of the existing technology, the present invention proposes a technical solution for a digital animal disease monitoring system, which can perform paperless sampling and testing, saving a lot of information collection, input and analysis time compared with traditional monitoring.

[0005] The technical solution of the present invention is as follows:

[0006] An animal disease monitoring digital system comprises a task module, a sample collection module, a sample detection module, a result reporting module and a data application module which are connected in sequence.

[0007] The task module is used to establish disease monitoring tasks.

[0008] The sample collection module establishes a connection between samples and disease monitoring tasks through sample tags.

[0009] The sample detection module is used to carry out laboratory testing according to the disease monitoring tasks and obtain disease detection data.

[0010] The result reporting module is used to enter the disease detection data that needs to be reported.

[0011] The data application module analyzes the reported disease detection data to determine the disease situation in each region.

[0012] To sum up, the above technical solution has the following beneficial effects: through process reengineering and system restructuring, a digital system for animal disease monitoring in the province is built, and six business modules such as task assignment, sample collection, sample reception, sample testing, result reporting, and data application are designed and developed. The business flow and data flow of all links of disease monitoring are opened up, and through the collaboration and data sharing of the entire livestock industry chain such as breeding, circulation, slaughter, and harmless treatment, paperless sampling and detection of animal diseases is realized, which effectively improves the quality and efficiency of monitoring, ensures that the source of monitoring work can be traced, the process can be checked, and the results can be used, providing technical support for animal disease prevention and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a system block diagram of a digital animal disease monitoring system;

[0014] Figure 2 Issued a flowchart for the guidance task of a digital animal disease monitoring system;

[0015] Figure 3 This is a sampling flow chart of a digital animal disease monitoring system.

[0016] Figure numerals: 10, task module; 20, sample collection module; 30, sample receiving module; 40, sample detection module; 50, result reporting module; 60, data application module; 70, main body end. DETAILED DESCRIPTION

[0017] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments. 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.

[0018] like Figure 1 , Figure 2 and Figure 3As shown, a digital system for animal disease monitoring includes a task module 10, a sample collection module 20, a sample detection module 40, a result reporting module 50 and a data application module 60 which are connected in sequence; the task module 10 is used to establish a disease monitoring task; the sample collection module 20 establishes a connection between the sample and the disease monitoring task through a sample tag; the sample detection module 40 is used to carry out laboratory testing according to the disease monitoring task and obtain disease detection data; the result reporting module 50 is used to enter the disease detection data to be reported; the data application module 60 analyzes the reported disease detection data to determine the disease situation in each region. Through process reengineering and system restructuring, a digital system for animal disease monitoring in the province was built. Six major business modules, including task assignment, sample collection, sample reception, sample testing, result reporting, and data application, were designed and developed. The business and data flows of all links in disease monitoring were connected. Through collaboration and data sharing with the entire livestock industry chain, including breeding, circulation, slaughter, and harmless treatment, paperless sampling and testing of animal diseases was achieved, effectively improving the quality and efficiency of monitoring, ensuring that the source of the monitoring work can be traced, the process can be checked, and the results can be used, providing technical support for animal disease prevention and control.

[0019] Task module 10 is the first link in carrying out monitoring work. After the highest-level task module 10 establishes the epidemic monitoring task, it is distributed step by step to the lowest-level task module 10. The lowest-level task module 10 is used to distribute the epidemic monitoring task to various sites. The task module 10 includes multiple levels. The disease monitoring system adopts a "vertical issuance" mode. Specifically, it includes three levels of task modules 10, from high to low, namely, provincial task modules, municipal task modules and county (city, district) task modules. The province strictly implements the formulation of prevention, control, eradication and quarantine measures for animals from introduction, breeding, operation, sales, transportation, slaughter to animal product processing, operation, storage, transportation, sales and other links in accordance with the scientific laws of animal disease occurrence, development and extinction. Then, the provincial animal disease prevention and control agency's task module 10 formulates and issues the total task volume of disease monitoring in the province, including the number of detections of major diseases in different cities; the municipal animal disease prevention and control agency will decompose the tasks to the animal disease prevention and control agencies of each county (city, district) according to the tasks issued by the provincial level and the conditions of each jurisdiction. The animal disease prevention and control agencies of each county (city, district) will finally perform relevant disease monitoring work according to the tasks. This application system relies on the "Zhejiang Animal Husbandry Industry Brain" platform, which includes business data on animal breeding, transportation, slaughter, harmless treatment, etc. in various parts of the province, providing an effective reference for the scientific and reasonable arrangement of monitoring tasks in various places. At the same time, the task module 10 is linked in real time with the subsequent paperless sample collection module 20. After the task is issued, the staff can choose the task type when logging into the sample collection module 20 to ensure the standardization and consistency of the business process. After completing the sampling, laboratory testing and result reporting processes in various places, the system will regularly conduct data summary and analysis, dynamically present the monitoring progress of different tasks of major animal diseases in various places, the monitoring coverage of different diseases, and scientifically evaluate the monitoring effect.

[0020] After setting the sample mark on the sample, the sample collection module 20 inputs the corresponding site information, sample mark and sample information for each disease monitoring task, so that the site information, sample mark and sample information are bound to the corresponding sample. The sample collection module 20 is also used to record the site person in charge information and the sample collector information. Specifically, the sample collection module 20 can classify the sites, which can specifically include large-scale farms, free-range households, trading markets, slaughterhouses, inter-provincial inspection stations, harmless treatment plants, medical institutions, equestrian clubs and other sites, and select one of the above scenarios according to actual conditions. The system of this application relies on the "Zhejiang Animal Husbandry Industry Brain" platform. Enterprises can log in to the system of this application from the main end 70. The system can convert the basic information of each site into a site graphic code and give it to the account of the site person in charge of the main end 70. When the sample collection module 20 enters specific site information, it can scan the site graphic code to automatically fill in the site information, or search the site name through the system, and then the system automatically fills in the site information, or manually enters the site information. The site information includes site name, site type, animal species, stock / annual slaughter volume, address, longitude and latitude, contact person and contact information, etc. Different types of sites need to fill in different site information. After filling in a classified site, the sample collection module 20 can also select the task of this monitoring. The tasks include daily detection, centralized detection and fixed-point monitoring, and multiple tasks can be selected. After that, the collector collects samples from the site and sets a sample mark, which can be a graphic mark such as a QR code, barcode or label for recording. The sampling module completes the sample binding of the corresponding site by scanning or inputting the sample mark. The filled sample information includes the sampling group, type, quantity and number, etc. One site can be bound to multiple samples. Finally, the sample collection module 20 can record the information of the collectors for this collection. Specifically, the person in charge of the sampled site and the sample collector electronically sign on the sample collection module 20 and record the sampling time.

[0021] It also includes a sample receiving module 30, which is used to confirm the sample marking information and receive the sample before the laboratory test. The sample receiving module 30 is connected to the sample detection module 40. The staff confirms the sample mark through the sample receiving module 30 to obtain the sample information and site information corresponding to the sample, and transmits the sample information and site information to the sample detection module 40 through the sample receiving module 30. Then the laboratory staff enters the test results in the sample detection module 40. After the staff selects the sample delivery laboratory in the sampling link, the relevant samples will be transported to the corresponding laboratory. The sample receiving module 30 includes two ways of collecting samples. The first is that the laboratory staff uses the sample receiving module 30 on the mobile phone to scan the sample mark on the sample sealing bag for confirmation, and then obtains the site information and sample information of the sample, including the source site name, task type, animal species, sample type, quantity and other basic information. After the staff verifies that the sample information is correct, click the "collect sample" button to complete the operation. The second method is to collect samples using the sample receiving module 30 on the computer side. After the staff verifies that the sample information is correct, they complete the batch sample collection operation on the computer side, which is more suitable for receiving large quantities of samples. The online sample receiving module 30 not only opens up the business process of sampling and laboratory sample collection, but also realizes the online circulation and data connection of sample information. There is no need to manually fill out forms such as sample collection forms and power of attorney offline, which simplifies the work process and reduces the workload of business. At the same time, it also improves the accuracy of sample information, ensuring that the information is consistent in sampling, sample collection, and subsequent laboratory testing and result reporting, avoiding errors and omissions. Among them, the laboratory barcode printer prints the barcode of the disease detection task assigned to the laboratory at the beginning and distributes it to the samplers of the laboratory.

[0022] The result reporting module 50 includes a test item window, a test result window, a test method window and a test time window, which are respectively used to input the test items, test results, test methods and test time of the sample, and transmit them to the data application module 60. The sample detection module 40 includes functions such as sample preparation, sample circulation, test data upload, result determination and test report issuance. The sample detection module 40 records the details of the test, which is convenient for the staff to manage the sample data when testing the sample, including data such as test items, qualified numbers, test methods and test time. The result reporting module 50 continues the sampling link. This module is linked with the sample collection module 20 and the sample receiving module 30 to comprehensively optimize the data reporting process, change the previous drawbacks of repeated entry of basic site information and sample information, and greatly reduce the number of reporting fields; at the same time, the corresponding indicator system is designed according to different animal disease monitoring processes. For example, pig disease detection mainly involves 9 types of samples such as serum, anticoagulant blood, nasal swabs, and tissue samples. Among them, serum sample detection is mainly used for immune quality assessment of foot-and-mouth disease and swine fever, and foot-and-mouth disease immune antibody detection items are O type and A type, and the main detection method is liquid phase blocking ELISA. In this systematic and comprehensive way, different animal species, sample types, monitored diseases, detection items, and detection methods are adapted, and all the information that needs to be reported in the past is confirmed in a selection manner, reducing manual input fields. In the past, reporting of disease monitoring results required filling in 24 fields. Now, you only need to select the test item, method, time, and fill in the test result in four fields to complete the reporting work. The time and the person who entered the data will capture the current account and the current login person by default. After the modification is completed, click Confirm to complete the result modification. The development of the result reporting module 50 not only improves the integrity of the test data reporting indicators, improves the reporting efficiency and data quality, but also greatly reduces the workload of result reporting.

[0023] The data application module 60 is also used to connect to the external platform, obtain the risk comparison value according to the external platform, and compare the disease detection data with the risk comparison value, so as to make risk predictions for the disease situation in each region, and transmit the disease detection data and risk prediction results to the external platform. Specifically, the external platform is the "Zhejiang Animal Husbandry Industry Brain" platform, and the detection data of the data application module 60 is reported to the "Zhejiang Animal Husbandry Industry Brain" platform, including sampling units, time, detection items, results, detection methods and other contents. This form of replacing the detection report not only saves resources, but also improves efficiency, and helps to play the role of monitoring results in a timely manner. The "Zhejiang Animal Husbandry Industry Brain" platform uses business data such as animal husbandry production, epidemic prevention and quarantine as a link to carry out in-depth risk assessment. Through big data analysis, it comprehensively analyzes the main animal disease risk indicators, promotes automatic data collection, and promotes cross-departmental multi-layer data sharing, business collaboration, and integration. Integrate core business data such as production, immunization, epidemic prevention, quarantine, and human cases, scientifically formulate three-color coding rules related to epidemic prevention and control, and standardize the design of emergency response processes based on emergency implementation plans, provide data support and guidance for scientific decision-making and standardized risk management, and comprehensively improve epidemic prediction, early warning, and emergency response capabilities. Provincial units conduct epidemic analysis based on the feedback of test results, thereby scientifically designing monitoring tasks and forming a closed loop.

[0024] It also includes a main end 70 connected to the external platform, which is used for enterprises to log in. Enterprises can obtain their disease detection data and risk prediction results on the main end 70 based on their own site information. The detection results of the data application module 60 are first reported to the "Zhejiang Animal Husbandry Industry Brain" platform, and then the disease detection data and risk prediction results of the data application module 60 are directly returned to the main end 70, so that enterprises can log in to view the detection results.

[0025] The main body end 70 includes a management code. When the data application module 60 determines that the sample test result is positive, the management code of the corresponding main body end 70 is controlled to change to a red code. When the sample test result is negative, the management code of the corresponding main body end 70 is controlled to change to a green code. The reported test results will be linked in real time with the three-color "management code" of the risk management module to realize red, yellow, and green color-assigned warnings. Once abnormal conditions such as positive test results and substandard immune antibodies occur, the corresponding main body code will change from green to red, reminding the main body and the local animal husbandry and veterinary authorities to standardize and implement relevant disposal measures, and to report and handle animal disease monitoring data for statistical summary. Through multiple indicators such as task progress, time, space, and groups, monitoring and early warning analysis is carried out from different latitudes to timely discover the weak links in disease prevention and control work, so as to take targeted control measures to achieve early warning, timely reporting, rapid response and effective control of major animal diseases. The yellow code is used for the transition from red code to green code, or when there is a risk in the test result, the management code of the main body end 70 is controlled to change to yellow code.

[0026] The above are only preferred embodiments of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A digital animal disease monitoring system, characterized in that: It comprises a task module (10), a sample collection module (20), a sample detection module (40), a result reporting module (50) and a data application module (60) which are connected in sequence; The task module (10) is used to establish a disease monitoring task; The sample collection module (20) establishes a connection between the sample and the disease monitoring task through sample labeling; The sample detection module (40) is used to carry out laboratory detection according to the disease monitoring task and obtain disease detection data; The result reporting module (50) is used to input the disease detection data that needs to be reported; The data application module (60) analyzes the reported disease detection data to determine the disease situation in each region.

2. The animal disease monitoring digital system according to claim 1, characterized in that: The task module (10) includes multiple levels. After the highest-level task module (10) establishes the epidemic monitoring task, it is distributed to the lowest-level task modules (10) step by step. The lowest-level task module (10) executes the monitoring plan according to the allocated epidemic monitoring task.

3. The animal disease monitoring digital system according to claim 2, characterized in that: After setting the sample mark on the sample, the sample collection module (20) inputs the corresponding site information, sample mark and sample information for each disease monitoring task, so that the site information, sample mark and sample information are bound to the corresponding sample. The sample collection module (20) is also used to record the site person in charge information and the sample collector information.

4. The animal disease monitoring digital system according to claim 1, characterized in that: The device also includes a sample receiving module (30), which is connected to the sample detection module (40). A staff member confirms the sample mark through the sample receiving module (30) to obtain sample information and field point information corresponding to the sample, and transmits the sample information and field point information to the sample detection module (40) through the sample receiving module (30).

5. The animal disease monitoring digital system according to claim 1, characterized in that: The result reporting module (50) comprises a test item window, a test result window, a test method window and a test time window, which are respectively used to input the test item, test result, test method and test time of the sample and transmit them to the data application module (60).

6. The animal disease monitoring digital system according to claim 1, characterized in that: The data application module (60) is also used to connect to an external platform and obtain a risk comparison value based on the external platform. The data application module compares the disease detection data with the risk comparison value to make a risk prediction for the disease situation in each region, and transmits the disease detection data and the risk prediction result to the external platform.

7. The animal disease monitoring digital system according to claim 6, characterized in that: It also includes a main body end (70) connected to the data application module (60), wherein the main body end (70) is used for enterprises to log in, and the enterprises obtain the disease detection data and risk prediction results of the enterprises on the main body end (70) according to their own site information.

8. The animal disease monitoring digital system according to claim 7, characterized in that: The main body end (70) includes a management code. When the data application module (60) determines that the sample test result is positive, the management code of the corresponding main body end (70) is controlled to change to a red code. When the sample test result is negative, the management code of the corresponding main body end (70) is controlled to change to a green code.

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