Biosafety laboratory operation and maintenance management method and system supporting intelligent decision

Abstract

The invention is suitable for the technical field of laboratory operation and maintenance, and provides a biosafety laboratory operation and maintenance management method and system supporting intelligent decision making, and the method comprises the following steps: receiving biological experiment information inputted by a user; judging whether an infection risk, an animal escape risk and a dangerous reagent risk exist or not according to the biological experiment information; when the infection risk exists, personnel protection information is determined according to an infection source, personnel protection is monitored, and personnel protection conditions are determined; when the animal escape risk exists, the experimental animal is monitored according to the animal characteristics, and the animal escape condition is determined; when the dangerous reagent risk exists, the dangerous reagent accident occurrence condition is determined; and generating a decision scheme based on the personnel protection condition, the animal escape condition and the dangerous reagent accident occurrence condition, and sending the decision scheme to the security terminal. According to the method, the corresponding decision scheme can be automatically generated, and various potential risks can be comprehensively and timely dealt with.

Description

Technical Field

[0001] The present invention relates to the technical field of laboratory operation and maintenance, and in particular to a biosafety laboratory operation and maintenance management method and system supporting intelligent decision-making. Background Art

[0002] Biosafety laboratories play a vital role in scientific research, teaching, and medical research and development. However, the operation and maintenance management of biosafety laboratories face many challenges, especially in ensuring experimental safety, preventing biological infection, animal escape, and accidents involving dangerous reagents. Existing operation and maintenance management methods often rely on manual monitoring and post-processing, which is not only inefficient, but also difficult to respond to various potential risks comprehensively and promptly. Therefore, it is necessary to provide a biosafety laboratory operation and maintenance management method and system that supports intelligent decision-making, aiming to solve the above problems. Summary of the invention

[0003] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a biosafety laboratory operation and maintenance management method and system that supports intelligent decision-making, so as to solve the problems existing in the above-mentioned background technology.

[0004] The present invention is implemented as follows: a biosafety laboratory operation and maintenance management method supporting intelligent decision-making, the method comprising the following steps:

[0005] Receiving biological experiment information input by a user, wherein the biological experiment information includes a biological experiment name, a laboratory bench number, and a user number;

[0006] Determine whether there is infection risk, animal escape risk, and hazardous reagent risk based on biological experiment information;

[0007] When there is an infection risk, determine personnel protection information based on the source of infection, monitor personnel protection, and determine the personnel protection situation;

[0008] When there is a risk of animal escape, monitor the experimental animals according to their characteristics to determine the animal escape situation;

[0009] When there is a risk of hazardous reagents, a monitoring plan is determined based on the hazardous reagents, and the hazardous reagents are monitored to determine the occurrence of hazardous reagent accidents;

[0010] Generate a decision plan based on personnel protection conditions, animal escape conditions, and dangerous reagent accidents, and send the decision plan to the security terminal.

[0011] As a further solution of the present invention: the step of determining whether there is infection risk, animal escape risk and dangerous reagent risk based on biological experiment information specifically includes:

[0012] Determine the microorganism information, experimental animal information and experimental drug information according to the biological experiment name in the biological experiment information;

[0013] Determine whether there is an infection risk based on microbial information, and if there is an infection risk, identify the source of infection;

[0014] Determine the escape intensity based on the experimental animal information, determine the fence strength based on the experimental platform number, determine whether there is an animal escape risk based on the escape intensity and fence strength, and determine the animal characteristics;

[0015] Determine whether there is a risk of hazardous reagents based on the experimental drug information, and identify the hazardous reagents when there is a risk of hazardous reagents.

[0016] As a further solution of the present invention: the steps of determining personnel protection information according to the infection source, monitoring personnel protection, and determining the personnel protection situation specifically include:

[0017] Input the infection source into the protection measures database to obtain personnel protection information, which includes wearing information and hygiene standard information;

[0018] Determine the wearing characteristics based on the wearing information, determine the behavior characteristics based on the hygiene standard information, and collect the video of the experimenter;

[0019] The personnel protection situation is obtained based on the wearing characteristics, behavioral movement characteristics and the video of the experimenters.

[0020] As a further solution of the present invention: the step of monitoring the experimental animals according to the animal characteristics and determining the animal escape situation specifically includes:

[0021] Retrieving animal characteristics and corresponding cage characteristics, wherein the animal characteristics include animal type, physique and color, and the cage characteristics include cage color, cage grid type and cage size;

[0022] Collect animal monitoring videos, identify animal features and cage features in the animal monitoring videos, and determine whether the animal features and cage features overlap. If they do not overlap, confirm that the animal has escaped;

[0023] Determine the animal's escape path based on animal surveillance video and animal characteristics.

[0024] As a further solution of the present invention: the step of generating a decision plan based on personnel protection conditions, animal escape conditions and dangerous reagent accident conditions specifically includes:

[0025] Determine the risk factor, infection detection plan and personnel supervision plan based on personnel protection conditions and infection sources;

[0026] Determine tracking areas and disinfection areas based on the animal escape paths in animal escape situations, and update the escape strength and fence strength of escaped animals;

[0027] Determine the evacuation route based on the hazardous reagent accident and the laboratory bench number, determine the chemical treatment measures based on the corresponding hazardous reagents, and reduce the content of hazardous reagents in the air through chemical reactions.

[0028] As a further solution of the present invention: the escape strength is obtained according to the animal type, physique and historical escape information, and the fence strength is obtained according to the fence height and impact resistance.

[0029] Another object of the present invention is to provide a biosafety laboratory operation and maintenance management system supporting intelligent decision-making, the system comprising:

[0030] The biological experiment information module is used to receive biological experiment information input by the user, wherein the biological experiment information includes the biological experiment name, the laboratory table number and the user number;

[0031] Comprehensive risk assessment module, used to determine whether there is infection risk, animal escape risk, and hazardous reagent risk based on biological experiment information;

[0032] The infection risk supervision module is used to determine personnel protection information according to the infection source when there is an infection risk, monitor personnel protection, and determine the personnel protection situation;

[0033] The escape risk monitoring module is used to monitor experimental animals according to animal characteristics and determine the animal escape situation when there is a risk of animal escape;

[0034] The reagent risk supervision module is used to determine the monitoring plan according to the dangerous reagents when there is a risk of dangerous reagents, monitor the dangerous reagents, and determine the occurrence of dangerous reagent accidents;

[0035] The decision-making plan generation module is used to generate decision plans based on personnel protection conditions, animal escape conditions and dangerous reagent accidents, and send the decision plans to the security terminal.

[0036] As a further solution of the present invention: the comprehensive risk determination module includes:

[0037] A comprehensive information determination unit, used to determine microorganism information, experimental animal information and experimental drug information according to the biological experiment name in the biological experiment information;

[0038] An infection risk determination unit, used to determine whether there is an infection risk based on the microbial information, and when there is an infection risk, determine the source of infection;

[0039] An escape risk determination unit, used to determine the escape intensity according to the experimental animal information, determine the fence strength according to the experimental platform number, determine whether there is an animal escape risk based on the escape intensity and the fence strength, and determine the animal characteristics;

[0040] The reagent risk determination unit is used to determine whether there is a dangerous reagent risk based on the experimental reagent information, and determine the dangerous reagent when there is a dangerous reagent risk.

[0041] As a further solution of the present invention: the infection risk supervision module includes:

[0042] A personnel protection information unit is used to input the infection source into the protection measures library to obtain personnel protection information, which includes wearing information and hygiene specification information;

[0043] Wearing action feature unit, used to determine wearing features according to wearing information, determine behavior action features according to hygiene standard information, and collect videos of experimenters;

[0044] The personnel protection status unit is used to obtain the personnel protection status based on wearing characteristics, behavioral movement characteristics and experimenter videos.

[0045] As a further solution of the present invention: the escape risk supervision module includes:

[0046] An animal cage feature unit, used to retrieve animal features and corresponding cage features, wherein the animal features include animal type, physique and color, and the cage features include cage color, cage grid type and cage size;

[0047] An animal escape determination unit is used to collect animal monitoring videos, identify animal features and cage features in the animal monitoring videos, and determine whether the animal features and cage features overlap. If they do not overlap, it is confirmed that the animal has escaped;

[0048] The escape path determination unit is used to determine the animal escape path based on the animal monitoring video and animal characteristics.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The present invention automatically determines the infection risk, animal escape risk and dangerous reagent risk by receiving biological experiment information input by the user, and generates corresponding decision-making plans according to the determination results. It realizes real-time protection monitoring of experimental personnel to ensure that personnel can be protected in a timely and effective manner when facing infection risks; at the same time, through real-time monitoring of experimental animals, animal escape events can be discovered and handled in a timely manner to prevent biological pollution and public health risks; in addition, the method can also intelligently monitor dangerous reagents. Once a leak or accident occurs, it can quickly generate evacuation routes and chemical treatment measures to reduce the content of dangerous reagents in the air, thereby ensuring the safety of experimental personnel and the environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 Flowchart of the biosafety laboratory operation and maintenance management method to support intelligent decision-making.

[0052] Figure 2 A flow chart to determine whether there are risks in the biosafety laboratory operation and maintenance management method to support intelligent decision-making.

[0053] Figure 3 A flowchart for determining personnel protection status in the biosafety laboratory operation and maintenance management method to support intelligent decision-making.

[0054] Figure 4 Flowchart for determining animal escape situations in the biosafety laboratory operation and maintenance management method to support intelligent decision-making.

[0055] Figure 5 A flowchart for generating decision-making solutions in the biosafety laboratory operation and maintenance management method to support intelligent decision-making.

[0056] Figure 6 Schematic diagram of the structure of the biosafety laboratory operation and maintenance management system that supports intelligent decision-making. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0058] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0059] like Figure 1 As shown, an embodiment of the present invention provides a biosafety laboratory operation and maintenance management method supporting intelligent decision-making, the method comprising the following steps:

[0060] S100, receiving biological experiment information input by a user, wherein the biological experiment information includes a biological experiment name, a laboratory bench number, and a user number;

[0061] S200: Determine whether there is infection risk, animal escape risk, and hazardous reagent risk based on biological experiment information;

[0062] S300, when there is an infection risk, determine personnel protection information according to the infection source, monitor personnel protection, and determine the personnel protection situation;

[0063] S400, when there is a risk of animal escape, monitor the experimental animals according to their characteristics to determine the animal escape situation;

[0064] S500, when there is a risk of dangerous reagents, a monitoring plan is determined according to the dangerous reagents, the dangerous reagents are monitored, and the occurrence of dangerous reagent accidents is determined;

[0065] S600, generating a decision plan based on the personnel protection situation, animal escape situation and dangerous reagent accident situation, and sending the decision plan to the security terminal.

[0066] It should be noted that, first of all, the infection sources such as microorganisms and viruses that may be involved in the biological experiment process pose a serious threat to the health of the experimenters; traditional prevention and control measures often rely on the self-protection awareness and operating specifications of the experimenters, but this method is difficult to ensure foolproof; once the risk of infection occurs, it often causes serious personal injury and laboratory contamination. Secondly, various experimental animals are often kept in biosafety laboratories, and they may escape from the experimental environment for various reasons; animal escape may not only cause biological contamination in the laboratory, but also pose a threat to the external environment and public health; existing animal monitoring methods often rely on manual patrols and simple physical fences, which makes it difficult to achieve real-time monitoring and effective management of experimental animals. In addition, hazardous reagents used in biological experiments, such as strong acids, strong alkalis, toxic chemicals, etc., will cause great harm to the experimenters and the environment once they leak or an accident occurs; traditional hazardous reagent management usually relies on strict storage and use regulations, but in actual operation, it is still difficult to avoid various unexpected situations. The embodiments of the present invention are intended to solve the above problems.

[0067] In an embodiment of the present invention, an experimental user needs to input biological experiment information before conducting an experiment. The biological experiment information includes the name of the biological experiment, the laboratory table number and the user number. Then, the embodiment of the present invention will automatically determine whether there is an infection risk, an animal escape risk and a dangerous reagent risk based on the biological experiment information. Specifically, when there is an infection risk, the personnel protection information will be determined according to the source of infection, and the personnel protection will be monitored to determine the personnel protection situation. When the personnel protection situation does not meet the standard, it is easy to be infected; in addition, when there is a risk of animal escape, the experimental animals will be tracked and monitored by cameras according to the characteristics of the animals to determine the animal escape situation, which is convenient for subsequent tracking and disinfection; in addition, when there is a risk of dangerous reagents, a monitoring plan will be automatically determined according to the dangerous reagents. The monitoring plan includes corresponding gas concentration sensor monitoring and video monitoring. The gas concentration sensor monitoring is suitable for dangerous reagents with toxic gases, and the video monitoring is suitable for flammable and explosive dangerous reagents. In this way, the dangerous reagents can be monitored and the occurrence of dangerous reagent accidents can be determined according to the monitoring situation. Finally, the embodiment of the present invention will also generate a decision plan based on personnel protection conditions, animal escape conditions, and dangerous reagent accidents, and send the decision plan to the security terminal so that security personnel can handle it in a timely manner to improve the safety and management efficiency of the laboratory.

[0068] like Figure 2 As shown, as a preferred embodiment of the present invention, the step of determining whether there is an infection risk, an animal escape risk, and a dangerous agent risk based on the biological experiment information specifically includes:

[0069] S201, determining microorganism information, experimental animal information, and experimental drug information according to the biological experiment name in the biological experiment information;

[0070] S202, determining whether there is an infection risk based on the microbial information, and if there is an infection risk, determining the infection source;

[0071] S203, determining the escape intensity according to the experimental animal information, determining the fence strength according to the experimental platform number, determining whether there is an animal escape risk based on the escape intensity and the fence strength, and determining the animal characteristics;

[0072] S204, judging whether there is a risk of hazardous reagents according to the experimental reagent information, and determining the hazardous reagents when there is a risk of hazardous reagents.

[0073] In the embodiment of the present invention, a biological experiment information database is established in advance, and the microorganism information, experimental animal information and experimental drug information corresponding to each biological experiment name can be queried from the biological experiment information database. Then, the embodiment of the present invention will automatically determine whether there is an infection risk based on the microorganism information. When there is an infection risk, the infection source is determined, and the infection source is a microorganism that can infect; then, the escape strength will be determined based on the experimental animal information, and the fence strength will be determined based on the experimental table number. Each experimental table is equipped with a cage. Based on the escape strength and fence strength, it is determined whether there is an animal escape risk. When the escape strength is greater than the fence strength, there is an animal escape risk. At this time, the corresponding animal characteristics will be retrieved. The escape strength is obtained according to the animal type, physique and historical escape information. The fence strength is obtained according to the fence height and impact resistance. Each experimental animal has a corresponding escape strength, and each cage has a corresponding fence strength. In addition, it will also determine whether there is a risk of dangerous reagents based on the experimental drug information. When the experimental drug information contains toxic agents and flammable and explosive agents, it indicates that there is a risk of dangerous reagents. At this time, the corresponding dangerous reagents will be determined.

[0074] like Figure 3 As shown, as a preferred embodiment of the present invention, the steps of determining personnel protection information according to the infection source, monitoring personnel protection, and determining the personnel protection situation specifically include:

[0075] S301, input the infection source into the protection measures library to obtain personnel protection information, which includes wearing information and hygiene standard information;

[0076] S302, determining wearing characteristics according to the wearing information, determining behavior characteristics according to the hygiene standard information, and collecting a video of the experimenter;

[0077] S303, obtaining the personnel protection situation based on the wearing characteristics, behavior and action characteristics and the experimenter video.

[0078] In the embodiment of the present invention, a protection measure library is established in advance, and the protection measure library contains a large number of microbial infection sources. Each microbial infection source corresponds to personnel protection information, and the personnel protection information includes wearing information and hygiene standard information. In this way, the infection source is input into the protection measure library, and the personnel protection information will be automatically obtained. Then, the wearing characteristics will be determined according to the wearing information, the behavioral action characteristics will be determined according to the hygiene standard information, and the experimenter video will be collected in real time. Then, the personnel protection situation is obtained according to the wearing characteristics, behavioral action characteristics and experimenter video. When the wearing characteristics do not meet the requirements, it indicates that the protective wear is not in place. When the behavioral action characteristics cannot be found in the experimenter video, it indicates that the hygiene standard action is not in place and the personnel protection situation is not up to standard.

[0079] like Figure 4As shown, as a preferred embodiment of the present invention, the step of monitoring the experimental animals according to the animal characteristics and determining the animal escape situation specifically includes:

[0080] S401, retrieve animal features and corresponding cage features, wherein the animal features include animal type, physique and color, and the cage features include cage color, cage grid type and cage size;

[0081] S402, collecting animal monitoring videos, identifying animal features and cage features in the animal monitoring videos, and determining whether the animal features and cage features overlap. If they do not overlap, confirming that the animal has escaped;

[0082] S403, determining the animal escape path based on the animal monitoring video and animal characteristics.

[0083] In an embodiment of the present invention, animal features and corresponding cage features are automatically retrieved, wherein the animal features include animal type, physique and color, and the cage features include cage color, cage grid type and cage size. In this way, after the camera acquires the animal monitoring video, it can automatically identify the animal features and cage features in the animal monitoring video, and then determine whether the animal features and cage features overlap. When the two overlap, it indicates that the animal is in the cage; when they do not overlap, it is confirmed that the animal has escaped, and then the animal escape path is determined based on the animal monitoring video and the animal features, and the escape route of the animal within the monitoring range is given.

[0084] like Figure 5 As shown, as a preferred embodiment of the present invention, the step of generating a decision plan based on personnel protection conditions, animal escape conditions, and dangerous reagent accident conditions specifically includes:

[0085] S601, determine the risk factor, infection detection plan and personnel supervision plan based on personnel protection conditions and infection sources;

[0086] S602, determining a tracking area and a disinfection area according to the animal escape path in the animal escape situation, and updating the escape strength and fence strength of the escaped animal;

[0087] S603, determine the evacuation route according to the hazardous reagent accident and the laboratory bench number, determine the chemical treatment measures according to the corresponding hazardous reagent, and reduce the content of the hazardous reagent in the air through chemical reaction.

[0088] In an embodiment of the present invention, when the personnel protection situation is not up to standard, the risk factor, infection detection plan and personnel supervision plan will be determined according to the infection source, and each infection source has a corresponding risk factor, infection detection plan and personnel supervision plan. For example, the personnel supervision plan is to isolate for N days; then the tracking area and disinfection area will be determined according to the animal escape path in the animal escape situation, which greatly improves the processing efficiency, and the escape intensity and fence strength of the escaped animals are updated and re-evaluated; in addition, the evacuation path will be determined according to the occurrence of dangerous reagent accidents and the laboratory bench number. The laboratory bench number reflects the location of the laboratory bench, and each laboratory bench location corresponds to an evacuation path, and chemical treatment measures are determined according to the corresponding dangerous reagents. The content of dangerous reagents in the air is reduced through chemical reactions, and the treatment effect is better.

[0089] like Figure 6 As shown, an embodiment of the present invention further provides a biosafety laboratory operation and maintenance management system supporting intelligent decision-making, the system comprising:

[0090] The biological experiment information module 100 is used to receive biological experiment information input by a user, wherein the biological experiment information includes a biological experiment name, a laboratory bench number, and a user number;

[0091] Comprehensive risk determination module 200, used to determine whether there is infection risk, animal escape risk and dangerous reagent risk based on biological experiment information;

[0092] The infection risk monitoring module 300 is used to determine personnel protection information according to the infection source when there is an infection risk, monitor personnel protection, and determine the personnel protection situation;

[0093] The escape risk monitoring module 400 is used to monitor the experimental animals according to the characteristics of the animals and determine the animal escape situation when there is a risk of animal escape;

[0094] The reagent risk monitoring module 500 is used to determine a monitoring plan according to the dangerous reagents when there is a risk of dangerous reagents, monitor the dangerous reagents, and determine the occurrence of dangerous reagent accidents;

[0095] The decision-making solution generation module 600 is used to generate a decision-making solution based on the personnel protection situation, the animal escape situation and the dangerous reagent accident situation, and send the decision-making solution to the security terminal.

[0096] As a preferred embodiment of the present invention, the comprehensive risk determination module 200 includes:

[0097] A comprehensive information determination unit, used to determine microorganism information, experimental animal information and experimental drug information according to the biological experiment name in the biological experiment information;

[0098] An infection risk determination unit, used to determine whether there is an infection risk based on the microbial information, and when there is an infection risk, determine the source of infection;

[0099] An escape risk determination unit, used to determine the escape intensity according to the experimental animal information, determine the fence strength according to the experimental platform number, determine whether there is an animal escape risk based on the escape intensity and the fence strength, and determine the animal characteristics;

[0100] The reagent risk determination unit is used to determine whether there is a dangerous reagent risk based on the experimental reagent information, and determine the dangerous reagent when there is a dangerous reagent risk.

[0101] As a preferred embodiment of the present invention, the infection risk monitoring module 300 includes:

[0102] A personnel protection information unit is used to input the infection source into the protection measures library to obtain personnel protection information, which includes wearing information and hygiene specification information;

[0103] Wearing action feature unit, used to determine wearing features according to wearing information, determine behavior action features according to hygiene standard information, and collect videos of experimenters;

[0104] The personnel protection status unit is used to obtain the personnel protection status based on wearing characteristics, behavioral movement characteristics and experimenter videos.

[0105] As a preferred embodiment of the present invention, the escape risk supervision module 400 includes:

[0106] An animal cage feature unit, used to retrieve animal features and corresponding cage features, wherein the animal features include animal type, physique and color, and the cage features include cage color, cage grid type and cage size;

[0107] An animal escape determination unit is used to collect animal monitoring videos, identify animal features and cage features in the animal monitoring videos, and determine whether the animal features and cage features overlap. If they do not overlap, it is confirmed that the animal has escaped;

[0108] The escape path determination unit is used to determine the animal escape path based on the animal monitoring video and animal characteristics.

[0109] The above only describes in detail the preferred embodiments of the present invention, which is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0110] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0111] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0112] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. A biosafety laboratory operation and maintenance management method supporting intelligent decision-making, characterized in that: The method comprises the following steps: Receiving biological experiment information input by a user, wherein the biological experiment information includes a biological experiment name, a laboratory bench number, and a user number; Determine whether there is infection risk, animal escape risk, and hazardous reagent risk based on biological experiment information; When there is an infection risk, determine personnel protection information based on the source of infection, monitor personnel protection, and determine the personnel protection situation; When there is a risk of animal escape, monitor the experimental animals according to their characteristics to determine the animal escape situation; When there is a risk of hazardous reagents, a monitoring plan is determined based on the hazardous reagents, and the hazardous reagents are monitored to determine the occurrence of hazardous reagent accidents; Generate a decision plan based on personnel protection conditions, animal escape conditions, and dangerous reagent accidents, and send the decision plan to the security terminal.

2. The biosafety laboratory operation and maintenance management method supporting intelligent decision-making according to claim 1 is characterized in that: The step of determining whether there is infection risk, animal escape risk, and dangerous reagent risk based on the biological experiment information specifically includes: Determine the microorganism information, experimental animal information and experimental drug information according to the biological experiment name in the biological experiment information; Determine whether there is an infection risk based on microbial information, and if there is an infection risk, identify the source of infection; Determine the escape intensity based on the experimental animal information, determine the fence strength based on the experimental platform number, determine whether there is an animal escape risk based on the escape intensity and fence strength, and determine the animal characteristics; Determine whether there is a risk of hazardous reagents based on the experimental drug information, and identify the hazardous reagents when there is a risk of hazardous reagents.

3. The biosafety laboratory operation and maintenance management method supporting intelligent decision-making according to claim 1 is characterized in that: The steps of determining personnel protection information according to the infection source, monitoring personnel protection, and determining the personnel protection situation specifically include: Input the infection source into the protection measures database to obtain personnel protection information, which includes wearing information and hygiene standard information; Determine the wearing characteristics based on the wearing information, determine the behavior characteristics based on the hygiene standard information, and collect the video of the experimenter; The personnel protection situation is obtained based on the wearing characteristics, behavioral movement characteristics and the video of the experimenters.

4. The biosafety laboratory operation and maintenance management method supporting intelligent decision-making according to claim 1 is characterized in that: The step of monitoring the experimental animals according to the animal characteristics and determining the animal escape situation specifically includes: Retrieving animal characteristics and corresponding cage characteristics, wherein the animal characteristics include animal type, physique and color, and the cage characteristics include cage color, cage grid type and cage size; Collect animal monitoring videos, identify animal features and cage features in the animal monitoring videos, and determine whether the animal features and cage features overlap. If they do not overlap, confirm that the animal has escaped; Determine the animal's escape path based on animal surveillance video and animal characteristics.

5. The biosafety laboratory operation and maintenance management method supporting intelligent decision-making according to claim 1 is characterized in that: The step of generating a decision plan based on personnel protection conditions, animal escape conditions, and dangerous reagent accident conditions specifically includes: Determine the risk factor, infection detection plan and personnel supervision plan based on personnel protection conditions and infection sources; Determine tracking areas and disinfection areas based on the animal escape paths in animal escape situations, and update the escape strength and fence strength of escaped animals; Determine the evacuation route based on the hazardous reagent accident and the laboratory bench number, determine the chemical treatment measures based on the corresponding hazardous reagents, and reduce the content of hazardous reagents in the air through chemical reactions.

6. The biosafety laboratory operation and maintenance management method supporting intelligent decision-making according to claim 2 is characterized in that: The escape strength is obtained based on the animal type, physique and historical escape information, and the fence strength is obtained based on the fence height and impact resistance.

7. Biosafety laboratory operation and maintenance management system supporting intelligent decision-making, characterized by: The system comprises: The biological experiment information module is used to receive biological experiment information input by the user, wherein the biological experiment information includes the biological experiment name, the laboratory table number and the user number; Comprehensive risk assessment module, used to determine whether there is infection risk, animal escape risk, and hazardous reagent risk based on biological experiment information; The infection risk supervision module is used to determine personnel protection information according to the infection source when there is an infection risk, monitor personnel protection, and determine the personnel protection situation; The escape risk monitoring module is used to monitor experimental animals according to animal characteristics and determine the animal escape situation when there is a risk of animal escape; The reagent risk supervision module is used to determine the monitoring plan according to the dangerous reagents when there is a risk of dangerous reagents, monitor the dangerous reagents, and determine the occurrence of dangerous reagent accidents; The decision-making plan generation module is used to generate decision plans based on personnel protection conditions, animal escape conditions and dangerous reagent accidents, and send the decision plans to the security terminal.

8. The biosafety laboratory operation and maintenance management system supporting intelligent decision-making according to claim 7 is characterized in that: The comprehensive risk determination module includes: A comprehensive information determination unit, used to determine microorganism information, experimental animal information and experimental drug information according to the biological experiment name in the biological experiment information; An infection risk determination unit, used to determine whether there is an infection risk based on the microbial information, and when there is an infection risk, determine the source of infection; An escape risk determination unit, used to determine the escape intensity according to the experimental animal information, determine the fence strength according to the experimental platform number, determine whether there is an animal escape risk based on the escape intensity and the fence strength, and determine the animal characteristics; The reagent risk determination unit is used to determine whether there is a dangerous reagent risk based on the experimental reagent information, and determine the dangerous reagent when there is a dangerous reagent risk.

9. The biosafety laboratory operation and maintenance management system supporting intelligent decision-making according to claim 7 is characterized in that: The infection risk supervision module includes: A personnel protection information unit is used to input the infection source into the protection measures library to obtain personnel protection information, which includes wearing information and hygiene specification information; Wearing action feature unit, used to determine wearing features according to wearing information, determine behavior action features according to hygiene standard information, and collect videos of experimenters; The personnel protection status unit is used to obtain the personnel protection status based on wearing characteristics, behavioral movement characteristics and experimenter videos.

10. The biosafety laboratory operation and maintenance management system supporting intelligent decision-making according to claim 7, characterized in that: The escape risk supervision module includes: An animal cage feature unit, used to retrieve animal features and corresponding cage features, wherein the animal features include animal type, physique and color, and the cage features include cage color, cage grid type and cage size; An animal escape determination unit is used to collect animal monitoring videos, identify animal features and cage features in the animal monitoring videos, and determine whether the animal features and cage features overlap. If they do not overlap, it is confirmed that the animal has escaped; The escape path determination unit is used to determine the animal escape path based on the animal monitoring video and animal characteristics.

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