On-site judgment system for sudden abnormity in experimental animal barrier facility

Abstract

The invention discloses an on-site judgment system for sudden anomalies in an experimental animal barrier facility, and the system comprises a knowledge base construction and visualization module, an interactive problem decision tree design module, and an intelligent auxiliary diagnosis and decision support module. The knowledge base construction and visualization module comprises a literature investigation and experience summary unit and a 3D model creation and picture generation unit, and is used for collecting and arranging abnormal condition related data, forming a text file, converting an abnormal condition into a 3D model and intercepting a high-definition picture; and the interactive problem decision tree design module is used for designing a decision tree for providing targeted problems for the user according to the preliminary classification of the abnormal conditions. According to the method, a traditional abnormal problem on-site judgment process and a modern information technology are fused, more than 300 pictures in one-to-one correspondence with abnormal conditions are drawn, a judgment tool which is highly interactive, visual and easy to operate is created, the process is simplified, efficiency and accuracy are improved, and the method is an important innovation in the field of experimental zoology.

Description

Technical Field

[0001] The present invention relates to the intersecting field of experimental animal science and information technology, and in particular to an on-the-spot judgment system for sudden abnormalities in experimental animal barrier facilities. Background Art

[0002] At present, in biomedical research, the health status of experimental animals directly affects the validity and reliability of experimental results. Laboratory animal barrier facilities are important environments to ensure the health and biosafety of experimental animals. However, various abnormal situations that may occur in the facilities, such as animal diseases and environmental abnormalities, require timely and accurate judgment and handling.

[0003] Existing judgment methods mainly rely on manual experience, and the relevant literature that manual judgment relies on is often just text descriptions, and there is a serious lack of intuitive corresponding pictures. This makes many inexperienced laboratory animal barrier facility managers lack unified judgment standards and rapid response mechanisms when facing such problems, which easily leads to delayed judgment or errors, affecting the progress of experiments and animal welfare. Summary of the invention

[0004] The technical problem to be solved by the present invention is to overcome the defects of the prior art and provide an on-the-spot judgment system for sudden abnormalities in experimental animal barrier facilities.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] The on-the-spot judgment system for sudden abnormalities in experimental animal barrier facilities of the present invention includes a knowledge base construction and visualization module, an interactive problem decision tree design module and an intelligent auxiliary diagnosis and decision support module. The knowledge base construction and visualization module includes a literature research and experience summary unit and a 3D model creation and picture generation unit, which are used to collect and organize relevant information on abnormal situations and form text files, convert abnormal situations into 3D models and capture high-definition pictures. The interactive problem decision tree design module is used to design a decision tree that provides targeted questions to users based on preliminary classification of abnormal situations. The intelligent auxiliary diagnosis and decision support module includes a problem selection unit and a decision support unit. The problem selection unit dynamically adjusts subsequent questions based on the user's selection path in the problem decision tree, real-time monitoring data and historical case analysis. The decision support unit generates comprehensive suggestions including preliminary diagnosis, emergency treatment guidance, and long-term tracking plans based on the user's final selection result and the system's intelligent analysis of real-time data.

[0007] As a preferred technical solution of the present invention, the literature research and experience summary unit covers the contents of facility maintenance and animal diseases, covering all common and rare abnormal situations.

[0008] As a preferred technical solution of the present invention, the 3D model creation and image generation unit uses 3D modeling software to convert more than 300 abnormal situations described in the archives into 3D models, and renders them from multiple angles to capture key features, and selects the angle that best shows the essence of the abnormal situation to capture high-definition pictures for the user interaction interface.

[0009] As a preferred technical solution of the present invention, the question selection unit gradually narrows the diagnosis scope of abnormal situations and improves the accuracy and efficiency of diagnosis.

[0010] As a preferred technical solution of the present invention, the comprehensive suggestions of the decision support unit are combined with expert opinions and data analysis to provide users with authoritative and practical response strategies.

[0011] Compared with the prior art, the present invention has the following beneficial effects:

[0012] The present invention integrates the traditional on-the-spot judgment process of abnormal problems with modern information technology, draws more than 300 pictures that correspond one to one with abnormal situations, and creates a highly interactive, intuitive and easy-to-operate judgment tool, which simplifies the process and improves efficiency and accuracy. It is an important innovation in the field of experimental animal science. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0014] Figure 1 It is a schematic diagram of the implementation process of the system of the present invention;

[0015] Figure 2 It is a schematic diagram of the main interface of the system of the present invention;

[0016] Figure 3 It is a schematic diagram of the secondary problem interface of the system of the present invention;

[0017] Figure 4 It is a schematic diagram of the three-level problem interface of the system of the present invention;

[0018] Figure 5 is a schematic diagram of a clinical opinion interface of a processing result of the system of the present invention; DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0020] Example 1

[0021] like Figure 1-5As shown, the present invention provides an on-the-spot judgment system for sudden abnormalities in experimental animal barrier facilities.

[0022] It includes a knowledge base construction and visualization module, an interactive problem decision tree design module, and an intelligent auxiliary diagnosis and decision support module. The knowledge base construction and visualization module includes a literature research and experience summary unit and a 3D model creation and image generation unit, which are used to collect and organize relevant information on abnormal situations and form text files, convert abnormal situations into 3D models and capture high-definition pictures. The interactive problem decision tree design module is used to design a decision tree that provides users with targeted questions based on the preliminary classification of abnormal situations. The intelligent auxiliary diagnosis and decision support module includes a problem selection unit and a decision support unit. The problem selection unit dynamically adjusts subsequent questions based on the user's selection path in the problem decision tree, real-time monitoring data and historical case analysis. The decision support unit generates comprehensive suggestions including preliminary diagnosis, emergency processing guidance, and long-term tracking plans based on the user's final selection results and the system's intelligent analysis of real-time data.

[0023] The literature research and experience summary unit covers facility maintenance and animal diseases, covering all common and rare abnormal situations.

[0024] The 3D model creation and image generation unit uses 3D modeling software to convert more than 300 abnormal situations described in the archives into 3D models, and renders them from multiple angles to capture key features, and selects the angle that best shows the essence of the abnormal situation to capture high-definition pictures for the user interaction interface.

[0025] The question selection unit gradually narrows the diagnostic scope of abnormal situations and improves the accuracy and efficiency of diagnosis.

[0026] The decision support unit's comprehensive recommendations combine expert opinions and data analysis to provide users with authoritative and practical response strategies.

[0027] This technical solution aims to build an efficient and intuitive abnormal situation diagnosis and response system, which is divided into the following stages:

[0028] 1. Knowledge base construction and visualization

[0029] Literature research and experience summary: Collect and organize all relevant information about unexpected abnormal situations that may be encountered in laboratory animal barrier facilities to form a comprehensive text file. This step will cover a wide range of content from facility maintenance to animal diseases, ensuring that all common and rare abnormal situations are covered.

[0030] 3D model creation and image generation: Using SolidWorks or other professional 3D modeling software, more than 300 abnormal conditions described in the above files are converted into detailed 3D models. Each model will be rendered from multiple angles to capture the key features of the abnormal condition. Then, the angle that best shows the nature of the abnormal condition is selected to capture high-definition images for subsequent user interaction interfaces.

[0031] 2. Interactive Question Decision Tree Design

[0032] Question decision tree construction: Design an intuitive and efficient interactive question decision tree, which will provide users with a series of targeted questions based on the preliminary classification of abnormal situations. Each question is associated with a specific abnormal situation category, aiming to gradually guide users to make accurate abnormal situation locations through observation and comparison.

[0033] 3. Intelligent auxiliary diagnosis and decision support

[0034] Question selection module: Based on the user's selection path in the question decision tree, the system will dynamically adjust subsequent questions and gradually narrow the diagnosis scope of abnormal situations. This process not only relies on the user's choice, but also comprehensively considers real-time monitoring data and historical case analysis to improve the accuracy and efficiency of diagnosis. Decision support module: Based on the user's final selection results and the system's intelligent analysis of real-time data, the decision support module will generate comprehensive suggestions including preliminary diagnosis, emergency treatment guidance, and long-term tracking plans. These suggestions will combine expert opinions and data analysis to provide users with authoritative and practical response strategies.

[0035] Through the implementation of the above technical solutions, this system can significantly improve the response speed and processing capabilities in the field of experimental animal management when facing sudden abnormal situations. While ensuring the health of animals, it also guarantees the continuity of experiments and the accuracy of scientific research data.

[0036] The following is the implementation process of this system:

[0037] System Startup

[0038] The user clicks the system icon to start the program.

[0039] The program pops up the main page and displays the guidance question: "What went wrong?" and provides options, including experimental facility hardware problems, mouse problems, rat problems, rabbit problems, zebrafish problems, experimental pig problems, etc.

[0040] Question selection and page jump

[0041] If the user encounters a problem with "Laboratory Animal Facilities", click the "Laboratory Animal Facilities" button and the program will jump to the secondary problem selection page.

[0042] For example, on the secondary problem selection page, the user selects the "water leakage" problem, and the program further jumps to the tertiary selection page.

[0043] On the three-level selection page, if the user encounters "skirting leakage", after clicking the "skirting leakage" button, the program will give example pictures, on-site opinions and disposal methods. The on-site opinion may be: "The possibility of the water purification system in the facility being broken is the greatest. But there is also the possibility of 'air conditioning condensation water discharge being blocked, resulting in water accumulation in the interlayer; external wall waterproofing being damaged, resulting in wall seepage; water leakage on the upper floor, etc.' causing the accumulated water to leak along the color steel plate wall to the skirting." The disposal method is: "Guide the maintenance unit to check the above-mentioned problems item by item and repair them." Users can verify the situation based on the example pictures and decide whether to handle the problem according to the on-site opinions and disposal methods.

[0044] If the problem you encounter is "Mice" -> "Fur" -> "Hard skin, lots of white scales on exposed skin", follow these steps:

[0045] Click the "Mouse" button.

[0046] Click the "Fur" button.

[0047] Scroll up or down to find the "Hardened skin and large amounts of white scales on exposed skin" button and tap it.

[0048] After clicking, you will get sample pictures, on-the-spot opinions and disposal methods. On-the-spot opinions and disposal methods will provide corresponding suggestions based on the specific situation, and users can verify and handle them based on the sample pictures.

[0049] If the problem you encounter is "Zebrafish" -> "Fish body" -> "White spots appear on the fins and the fish frequently rubs its body", the operation method is as follows:

[0050] Click on the "Zebrafish" button.

[0051] Click the "Fish Body" button.

[0052] Click the "Small white spots appear on the fish's fins and the fish frequently rubs its body" button.

[0053] After clicking, you will get sample pictures, on-site advice and treatment methods. On-site advice is: "The most common is Ichthyophthirius multifiliis infection." Treatment methods are: "1. Raise the water temperature to 28-30°; 2. Use trimethoprim, sulfonamides and other drugs or suitable chemical disinfectants to kill insects; 3. Strengthen feeding management, find management errors, ensure scientific and timely water changes, and ensure that the amount of food fed is appropriate and hygienic." Users can verify the situation and take action based on the sample pictures.

[0054] System coverage

[0055] This program lists more than 300 emergencies that may be encountered in experimental animal facilities. Users can gradually select the specific situations they encounter based on the guiding questions, and obtain corresponding problem inferences and disposal opinions recommended by the program.

[0056] Through the above embodiments, users can use the system to quickly and accurately determine sudden abnormal situations in experimental animal barrier facilities and take corresponding treatment measures.

[0057] With the deepening of biomedical research and the improvement of animal ethics standards, laboratory animal health management faces higher requirements. The "on-site judgment system for sudden abnormal situations in laboratory animal barrier facilities" has shown strong market potential with technological innovation: 1. Urgent needs: The existing diagnostic methods that rely on experience and intuition are inefficient and prone to misjudgment. The market urgently needs efficient and accurate intelligent on-site judgment tools. This system accurately responds to market demand with standardized processes and visual assistance, and is especially favored by scientific research institutions and pharmaceutical companies. 2. Accelerate scientific research: Improving diagnostic efficiency directly affects scientific research progress and data quality. The present invention shortens the diagnostic cycle, reduces experimental delays, accelerates the transformation of scientific research results, and improves the utilization rate of funds. 3. Compliance and welfare: In line with the trend of international animal ethics regulations, strengthen health monitoring and immediate intervention, help institutions comply with regulations, improve animal welfare, and enhance international cooperation competitiveness. 4. Multi-field application: In addition to biomedicine, the system is also suitable for veterinary education, zoo management, pet medical care, etc., with a wide market coverage and a huge user base. 5. Potential for technological upgrades: Combined with advanced technologies such as AI and big data, it can develop into personalized health management solutions in the future, maintain technological leadership, and attract continuous investment and attention. In summary, this judgment instrument, with its practicality, high efficiency and forward-looking perspective, accurately meets market demand, and heralds broad application prospects and economic value in the experimental animal health management market.

[0058] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An on-the-spot judgment system for sudden abnormalities in experimental animal barrier facilities, characterized in that: It includes a knowledge base construction and visualization module, an interactive problem decision tree design module and an intelligent auxiliary diagnosis and decision support module. The knowledge base construction and visualization module includes a literature research and experience summary unit and a 3D model creation and image generation unit, which are used to collect and organize relevant information on abnormal situations and form text files, convert abnormal situations into 3D models and capture high-definition pictures. The interactive problem decision tree design module is used to design a decision tree that provides targeted questions to users based on the preliminary classification of abnormal situations. The intelligent auxiliary diagnosis and decision support module includes a problem selection unit and a decision support unit. The problem selection unit dynamically adjusts subsequent questions based on the user's selection path in the problem decision tree, real-time monitoring data and historical case analysis. The decision support unit generates comprehensive suggestions including preliminary diagnosis, emergency treatment guidance, and long-term tracking plan based on the user's final selection result and the system's intelligent analysis of real-time data.

2. The on-site judgment system for sudden abnormalities in the experimental animal barrier facility according to claim 1, characterized in that: The literature research and experience summary unit covers facility maintenance and animal diseases, covering all common and rare abnormal situations.

3. The on-site judgment system for sudden abnormalities in the experimental animal barrier facility according to claim 1, characterized in that: The 3D model creation and image generation unit uses 3D modeling software to convert more than 300 abnormal situations described in the archives into 3D models, and renders them from multiple angles to capture key features, and selects the angle that best shows the essence of the abnormal situation to capture high-definition pictures for the user interaction interface.

4. The on-site judgment system for sudden abnormalities in the experimental animal barrier facility according to claim 1, characterized in that: The question selection unit gradually narrows the diagnosis scope of abnormal situations and improves the accuracy and efficiency of diagnosis.

5. The on-site judgment system for sudden abnormalities in the experimental animal barrier facility according to claim 1, characterized in that: The comprehensive suggestions of the decision support unit combine expert opinions and data analysis to provide users with authoritative and practical response strategies.

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