Laboratory management system based on large model

Abstract

The invention discloses a laboratory management system based on a large model, relates to the technical field of laboratory management, solves the technical problem that the laboratory network security cannot be detected in the laboratory use stage in the prior art, and particularly relates to a maintenance performance evaluation unit which is used for evaluating the laboratory performance maintenance. Environment maintenance data and position maintenance data are collected, and whether the maintenance performance is normal is deduced according to data analysis; the network security evaluation unit is used for carrying out security evaluation on the experimental record network of the laboratory, collecting flow control information and data control information, and analyzing and deducing whether the network security evaluation is normal or not according to the information; and the experiment safety evaluation unit is used for carrying out experiment safety evaluation on the laboratory, collecting medicament safety information and electric power safety information, and deducing whether the experiment safety evaluation is normal or not according to information comparison, if so, completing laboratory management, and if not, carrying out experiment safety control.

Description

Technical Field

[0001] The present invention relates to the technical field of laboratory management, and in particular to a laboratory management system based on a large model. Background Art

[0002] A big model, also known as an AI big model, refers to a "large parameter" model trained using large-scale data and powerful computing power; a laboratory management system is a software system specifically used to manage various laboratory resources, processes, and information; its main purpose is to improve laboratory work efficiency, ensure the accuracy and completeness of data, and realize standardized and scientific management of the laboratory.

[0003] The patent with announcement number CN107730125A discloses a laboratory management system, including one or more independent application containers and a data management platform. The data management platform is connected to each independent application container, and sends the set configuration parameters to the corresponding independent application container, so that the independent application container generates a corresponding independent application, executes a corresponding business function logic in the laboratory through the independent application, generates laboratory data and sends the laboratory data to the data management platform for management personnel to process.

[0004] However, in the existing technology, it is impossible to conduct performance evaluation when the laboratory is put into use, and it is impossible to monitor the maintenance performance after the performance evaluation is qualified. In addition, the laboratory network security cannot be tested during the laboratory use phase, resulting in reduced security performance of experimental data and the inability to monitor experimental safety in the laboratory.

[0005] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0006] The purpose of the present invention is to solve the above-mentioned problems and to propose a laboratory management system based on a large model.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A laboratory management system based on a large model includes a laboratory management platform, and the laboratory management platform is connected to:

[0009] The experimental performance evaluation unit is used to collect laboratory performance parameters and substitute them into the formula to obtain the laboratory performance evaluation coefficient. By comparing the coefficients, it is inferred whether the laboratory performance evaluation is normal. If yes, proceed to the next step, otherwise, perform performance debugging;

[0010] The maintenance performance evaluation unit is used to evaluate the laboratory performance maintenance, collect environmental maintenance data and location maintenance data, and infer whether the maintenance performance is normal based on data analysis. If yes, proceed to the next step, otherwise, control;

[0011] The network security assessment unit is used to conduct security assessment on the laboratory's experimental recording network, collect flow control information and data control information, and infer whether the network security assessment is normal based on information analysis. If yes, proceed to the next step, otherwise perform network maintenance;

[0012] The experimental safety assessment unit is used to conduct experimental safety assessments on the laboratory, collect reagent safety information and power safety information, and infer whether the experimental safety assessment is normal based on information comparison. If yes, the laboratory management is completed; if not, experimental safety control is carried out.

[0013] As a preferred embodiment of the present invention, the laboratory performance parameters collected include the overlapping frequency of the movement trajectories of the operators during the operation period when the internal devices are running synchronously during the use of the laboratory, the excess of the maximum reciprocating interval time of the devices alternatingly used under the internal device combination sequence corresponding to the current commonly used experimental process during the use of the laboratory and the set time threshold, and the increased frequency of repeated debugging of the internal devices to complete the corresponding instruction operations under different experimental processes during the use of the laboratory and the corresponding numerical ratio of the instruction operation completion time in advance.

[0014] As a preferred embodiment of the present invention, if the laboratory performance evaluation coefficient exceeds the evaluation coefficient threshold, it is inferred that the laboratory real-time performance evaluation is abnormal; if the laboratory performance evaluation coefficient does not exceed the evaluation coefficient threshold, it is inferred that the laboratory real-time performance evaluation is normal.

[0015] As a preferred embodiment of the present invention, the environment maintenance data is the numerical ratio of the non-overlapping deviation increase rate of the operating environment parameters of the internal device corresponding to the progress of different experimental processes during the laboratory operation stage and the set environmental parameter range, and the speed reduction rate of the internal device's own hardware processing instruction operation delay; the position maintenance data is the frequency increase rate of overlapping trajectories of different operators in the laboratory as the placement position changes when the internal device executes the experimental process during the laboratory operation stage.

[0016] As a preferred embodiment of the present invention, if the environmental maintenance data exceeds the speed value ratio threshold, or the position maintenance data exceeds the frequency increase speed threshold, it is inferred that the maintenance performance evaluation of the laboratory is abnormal; if the environmental maintenance data does not exceed the speed value ratio threshold, and the position maintenance data does not exceed the frequency increase speed threshold, it is inferred that the maintenance performance evaluation of the laboratory is normal.

[0017] As a preferred embodiment of the present invention, the flow control information and the data control information are respectively the flow consumption of the laboratory coverage network in addition to the current experimental data transmission flow consumption during the experimental data storage process during the laboratory use phase and the excess of the set control flow generation threshold, and the increase in flow consumption of the data stream generated by any data source of the corresponding laboratory coverage network in addition to the experimental data transmission during the experimental data transmission process and the corresponding numerical ratio of the accumulated time of the connection coverage network at the data stream receiving end.

[0018] As a preferred implementation of the present invention, if the flow control information exceeds the flow excess threshold, or the data control information exceeds the flow time ratio threshold, it is inferred that the current network security assessment in the laboratory is abnormal; if the flow control information does not exceed the flow excess threshold, and the data control information does not exceed the flow time ratio threshold, it is inferred that the current network security assessment in the laboratory is normal.

[0019] As a preferred embodiment of the present invention, the drug safety information and the power safety information are respectively the identification and warning time of the corresponding area storage device when abnormal drug types are taken out when multiple types of drugs are stored in the same area during real-time laboratory experiments, and the excess of the leakage time and overload alarm time corresponding to the operation of each circuit load of the internal devices of the laboratory under any indoor area temperature and humidity fluctuation scenario.

[0020] As a preferred embodiment of the present invention, if the drug safety information exceeds the identification warning time threshold, or the electricity safety information does not exceed the excess time threshold, it is inferred that the current laboratory's experimental safety assessment is abnormal; if the drug safety information does not exceed the identification warning time threshold, and the electricity safety information exceeds the excess time threshold, it is inferred that the current laboratory's experimental safety assessment is normal.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. In the present invention, data collection and analysis are performed through large model technology to infer whether the current laboratory performance meets the actual needs, so as to ensure that the laboratory meets its set usage conditions, is applicable to a variety of experimental scenarios, and has high operating performance in the laboratory, thereby promoting the operating efficiency of the laboratory;

[0023] Evaluate the maintenance of laboratory performance and infer whether the current laboratory can maintain qualified performance status after the experimental performance is qualified, so as to improve the laboratory's experimental efficiency while ensuring the stability of laboratory performance, and further improve the efficiency of the laboratory's experimental process execution.

[0024] 2. In the present invention, a security assessment is conducted on the laboratory's experimental record network to infer whether the security of the current laboratory's experimental record network meets actual needs, so as to ensure the transmission and storage security of the experimental records and avoid leakage of experimental data. At the same time, the network control accuracy of the internal devices can be improved to avoid external intrusions to interfere with the operation of the laboratory's internal devices, thereby reducing the efficiency of the laboratory's experimental process execution;

[0025] Conduct an experimental safety assessment on the laboratory to infer whether the real-time safety performance of the current laboratory when executing the experimental process meets the actual needs, so as to ensure the experimental safety of the operators. It can also improve the operational safety and efficiency of the laboratory, ensure that the current experimental subject can proceed smoothly, and avoid obstruction of the experimental progress. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0027] Figure 1 It is the overall principle block diagram of the present invention;

[0028] Figure 2 It is a schematic diagram of the overall process of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. 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.

[0030] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0031] See also Figure 1-2 As shown, a laboratory management system based on a large model includes a laboratory management platform, wherein the laboratory management platform is communicatively connected with an experimental performance evaluation unit, a maintenance performance evaluation unit, a network security evaluation unit, and an experimental safety evaluation unit;

[0032] The laboratory management platform generates an experimental performance evaluation signal and sends it to the experimental performance evaluation unit. After receiving the experimental performance evaluation signal, the experimental performance evaluation unit collects and analyzes data through the big model technology to infer whether the current laboratory performance meets the actual needs, so as to ensure that the laboratory meets its set usage conditions, is suitable for a variety of experimental scenarios, and has high operating performance in the laboratory, thereby promoting the operating efficiency of the laboratory;

[0033] The overlapping frequency of the movement trajectory of the operator during the operation period corresponding to the synchronous operation of the internal devices during the use of the laboratory is obtained, and at the same time, the excess of the maximum reciprocating interval time of the alternating use of the devices under the internal device combination sequence corresponding to the current common experimental process during the use of the laboratory and the set time threshold is obtained, and the overlapping frequency of the movement trajectory of the operator during the operation period corresponding to the synchronous operation of the internal devices during the use of the laboratory and the excess of the maximum reciprocating interval time of the alternating use of the devices under the internal device combination sequence corresponding to the current common experimental process during the use of the laboratory and the set time threshold are marked as SCP and SCD respectively; the common experimental process is represented as the experimental process corresponding to the specific function of the current laboratory;

[0034] Obtain the numerical ratio of the increased frequency of repeated debugging required for the internal device to complete the corresponding instruction operation under different experimental processes during the use of the laboratory and the length of time the instruction operation is completed in advance, where the numerical ratio only collects the ratio of the values ​​of the two data to obtain the impact of the two data fluctuations, and the numerical ratio of the increased frequency of repeated debugging required for the internal device to complete the corresponding instruction operation under different experimental processes during the use of the laboratory and the length of time the instruction operation is completed in advance is marked as PSB;

[0035] The above collected information is uniformly marked as laboratory performance parameters, and substituted into the formula to obtain the laboratory performance evaluation coefficient during laboratory use. The formula is: Where P is the laboratory performance evaluation coefficient, fc1, fc2 and fc3 are preset proportional coefficients, e is a natural constant, and α is an error correction factor, which is 0.98;

[0036] Compare the laboratory performance evaluation coefficient during laboratory use with the evaluation coefficient threshold:

[0037] If the laboratory performance evaluation coefficient exceeds the evaluation coefficient threshold during the use of the laboratory, it is inferred that the laboratory real-time performance evaluation is abnormal, a performance abnormality signal is generated and sent to the laboratory management platform. After receiving the performance abnormality signal, the laboratory management platform performs performance debugging on the current laboratory internal devices and re-plans the placement location;

[0038] If the laboratory performance evaluation coefficient does not exceed the evaluation coefficient threshold during the use of the laboratory, it is inferred that the laboratory real-time performance evaluation is normal, and a normal performance signal is generated and sent to the laboratory management platform;

[0039] After receiving the normal performance signal, the laboratory management platform generates a maintenance performance evaluation signal and sends the maintenance performance evaluation signal to the maintenance performance evaluation unit. After receiving the maintenance performance evaluation signal, the maintenance performance evaluation unit evaluates the laboratory performance maintenance and infers whether the current laboratory can maintain the qualified performance state after the experimental performance is just qualified, so as to improve the laboratory experimental efficiency and ensure the stability of laboratory performance, and further improve the efficiency of laboratory experimental process execution;

[0040] The non-overlapping deviation increase speed of the operating environment parameters of the internal device corresponding to different experimental process progresses in the laboratory operation stage and the set environmental parameter range, the speed of reducing the operation delay of the internal device's own hardware processing instructions, and the numerical ratio of the two speed values ​​are obtained. At the same time, the frequency increase speed of the overlapping tracks of different operators in the laboratory as the placement position changes when the internal device executes the experimental process in the laboratory operation stage is obtained, and the non-overlapping deviation increase speed of the operating environment parameters of the internal device corresponding to different experimental process progresses in the laboratory operation stage and the set environmental parameter range and the speed ratio of the two speed values ​​of the internal device's own hardware processing instruction operation delay reduction speed, and the frequency increase speed of the overlapping tracks of different operators in the laboratory as the placement position changes when the internal device executes the experimental process in the laboratory operation stage are marked as environment maintenance data and position maintenance data, respectively, and compared with the speed value ratio threshold and the frequency increase speed threshold, respectively: wherein the environmental parameters are represented by the surrounding environmental parameters that affect the internal device, such as temperature, humidity, etc.;

[0041] If the numerical ratio of the speed of increase of the non-overlapping deviation between the operating environment parameters of the internal device and the set environmental parameter range corresponding to the progress of different experimental processes during the laboratory operation stage and the speed of reduction of the delay in the operation of the hardware processing instructions of the internal device itself exceeds the speed numerical ratio threshold, or the frequency increase rate of overlapping trajectories of different operators in the laboratory exceeds the frequency increase speed threshold as the placement position changes when the internal device executes the experimental process during the laboratory operation stage, it is inferred that the maintenance performance evaluation of the laboratory is abnormal, and a maintenance abnormality signal is generated and sent to the laboratory management platform. After receiving the signal, the laboratory management platform accurately controls the environmental parameters in the laboratory and strictly controls the position movement of the internal device during the experiment; if it is necessary to move the internal device, the movement trajectory of the operator is adjusted and the overlapping points are warned;

[0042] If the numerical ratio of the non-overlapping deviation increase speed of the operating environment parameters of the internal device corresponding to the progress of different experimental processes in the laboratory operation stage and the speed of the internal device's own hardware processing instruction operation delay reduction speed does not exceed the speed value ratio threshold, and the frequency increase speed of the overlapping tracks of different operators in the laboratory as the placement position changes when the internal device executes the experimental process in the laboratory operation stage does not exceed the frequency increase speed threshold, it is inferred that the laboratory maintenance performance evaluation is normal, and a maintenance normal signal is generated and sent to the laboratory management platform;

[0043] After receiving the maintain normal signal, the laboratory management platform generates a network security assessment signal and sends the network security assessment signal to the network security assessment unit. After receiving the network security assessment signal, the network security assessment unit conducts a security assessment on the laboratory's experimental record network to infer whether the security of the current laboratory's experimental record network meets the actual needs, so as to ensure the transmission and storage security of the experimental records and avoid experimental data leakage. At the same time, it can also improve the network control accuracy of the internal devices and avoid external intrusions to interfere with the operation of the laboratory's internal devices, thereby reducing the efficiency of the laboratory's experimental process execution;

[0044] The amount of traffic consumption of the laboratory coverage network in addition to the traffic consumption of the current experimental data transmission in the experimental data storage process during the laboratory use phase is obtained, and the excess of the set control traffic generation threshold is obtained. At the same time, the increase in traffic consumption of the data stream generated by any data source of the corresponding laboratory coverage network in addition to the experimental data transmission during the experimental data transmission process is obtained, and the corresponding numerical ratio of the accumulated time of the connection coverage network at the data stream receiving end is obtained, where the data source is represented by other experimental data, equipment data, etc., and this application refers to data other than this experimental data, and the data stream is represented by the transmission path of the corresponding data source;

[0045] The traffic consumption of the laboratory coverage network in addition to the current experimental data transmission traffic consumption during the laboratory use phase and the excess of the set control traffic generation threshold, and the increase in traffic consumption of the data flow generated by any data source of the corresponding laboratory coverage network in addition to the experimental data transmission during the experimental data transmission process and the corresponding numerical ratio of the accumulated connection coverage network duration of the data flow receiving end are marked as traffic control information and data control information, respectively, and compared with the traffic excess threshold and traffic duration ratio threshold, respectively:

[0046] If the amount of traffic consumed by the laboratory coverage network other than the current experimental data transmission traffic consumption during the experimental data storage process during the laboratory use phase exceeds the traffic excess threshold over the set control traffic generation threshold, or if the increase in traffic consumption of the data stream generated by any data source of the corresponding laboratory coverage network other than the experimental data transmission during the experimental data transmission process and the corresponding value ratio of the accumulated connection coverage network duration of the data stream receiving end exceed the traffic duration ratio threshold, it is inferred that the current network security assessment in the laboratory is abnormal, a network low security signal is generated and sent to the laboratory management platform. After receiving the network low security signal, the laboratory management platform performs network security maintenance on the laboratory so that the laboratory has the function of efficient and secure transmission of laboratory data;

[0047] If during the experimental data storage process during the laboratory use phase, the traffic consumption of the laboratory coverage network other than the current experimental data transmission traffic consumption does not exceed the traffic excess threshold over the set control traffic generation threshold, and during the experimental data transmission process, the traffic consumption increase of the data flow generated by any data source of the corresponding laboratory coverage network other than the experimental data transmission does not exceed the traffic duration ratio threshold over the corresponding numerical ratio of the accumulated connection coverage network duration of the data flow receiving end, then it is inferred that the current network security assessment in the laboratory is normal, and a high network security signal is generated and sent to the laboratory management platform;

[0048] After receiving the high-security signal from the network, the laboratory management platform generates an experimental safety assessment signal and sends it to the experimental safety assessment unit. After receiving the experimental safety assessment signal, the experimental safety assessment unit conducts an experimental safety assessment on the laboratory to infer whether the real-time safety performance of the current laboratory during the execution of the experimental process meets the actual needs, so as to ensure the experimental safety of the operators and improve the operating safety and efficiency of the laboratory, ensuring that the current experimental subject can smoothly conduct the experiment and avoid obstruction of the experimental progress;

[0049] The recognition and warning time of the corresponding regional storage device when the type of medicine is abnormally taken out when multiple types of medicines are stored in the same area during the real-time laboratory experiment is obtained, and the excess leakage time and overload alarm time corresponding to the load operation of each circuit of the laboratory's internal devices in any indoor area temperature and humidity floating scenario are obtained. The recognition and warning time of the corresponding regional storage device when the type of medicine is abnormally taken out when multiple types of medicines are stored in the same area during the real-time laboratory experiment, and the excess leakage time and overload alarm time corresponding to the load operation of each circuit of the laboratory's internal devices in any indoor area temperature and humidity floating scenario are marked as medicine safety information and power safety information, respectively, and compared with the recognition and warning time threshold and the time excess threshold, respectively:

[0050] If during the real-time laboratory experiment, when multiple types of reagents are stored in the same area and the type of reagent used is abnormal, the identification and warning time of the storage device in the corresponding area exceeds the identification and warning time threshold, or the excess of the leakage time and the overload alarm time of the internal device of the laboratory under any indoor temperature and humidity fluctuation scenario does not exceed the time excess threshold, then it is inferred that the current laboratory's experimental safety assessment is abnormal, and an experimental safety risk signal is generated and sent to the laboratory management platform. After receiving the experimental safety risk signal, the laboratory management platform controls the indoor area environment of the laboratory's experimental process and classifies and controls the experimental reagents;

[0051] If during the real-time laboratory experiment, when multiple types of medicines are stored in the same area and the type of medicine used is abnormal, the identification and warning time of the storage device in the corresponding area does not exceed the identification and warning time threshold, and the excess of the leakage generation time and the overload alarm time of the internal device of the laboratory under any indoor area temperature and humidity fluctuation scenario exceeds the time excess threshold, it is inferred that the current laboratory's experimental safety assessment is normal, and an experimental safety qualified signal is generated and sent to the laboratory management platform;

[0052] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0053] When the present invention is in use, the experimental performance evaluation unit collects laboratory performance parameters and substitutes them into the formula to obtain the laboratory performance evaluation coefficient, and infers whether the laboratory performance evaluation is normal through coefficient comparison. If yes, proceed to the next step, otherwise, perform performance debugging; the maintenance performance evaluation unit evaluates the laboratory performance maintenance, collects environment maintenance data and location maintenance data, and infers whether the maintenance performance is normal based on data analysis. If yes, proceed to the next step, otherwise, perform management and control; the network security evaluation unit performs a security evaluation on the laboratory's experimental record network, collects flow control information and data control information, and infers whether the network security evaluation is normal based on information analysis. If yes, proceed to the next step, otherwise, perform network maintenance; the experimental safety evaluation unit performs an experimental safety evaluation on the laboratory, collects drug safety information and power safety information, and infers whether the experimental safety evaluation is normal based on information comparison. If yes, complete the laboratory management, otherwise, perform experimental safety control.

[0054] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A laboratory management system based on a large model, characterized in that: Including laboratory management platform, the laboratory management platform communication connections are: The experimental performance evaluation unit is used to collect laboratory performance parameters and substitute them into the formula to obtain the laboratory performance evaluation coefficient. By comparing the coefficients, it is inferred whether the laboratory performance evaluation is normal. If yes, proceed to the next step, otherwise, perform performance debugging; The maintenance performance evaluation unit is used to evaluate the laboratory performance maintenance, collect environmental maintenance data and location maintenance data, and infer whether the maintenance performance is normal based on data analysis. If yes, proceed to the next step, otherwise, control; The network security assessment unit is used to conduct security assessment on the laboratory's experimental recording network, collect flow control information and data control information, and infer whether the network security assessment is normal based on information analysis. If yes, proceed to the next step, otherwise perform network maintenance; The experimental safety assessment unit is used to conduct experimental safety assessments on the laboratory, collect reagent safety information and power safety information, and infer whether the experimental safety assessment is normal based on information comparison. If yes, the laboratory management is completed; if not, experimental safety control is carried out.

2. A laboratory management system based on a large model according to claim 1, characterized in that: The laboratory performance parameters collected include the overlapping frequency of the movement trajectories of the operators during the operation period when the internal devices are running synchronously during the laboratory use, the excess of the maximum reciprocating interval of the devices in the combination sequence of the internal devices corresponding to the current commonly used experimental process during the laboratory use and the set time threshold, and the increased frequency of repeated debugging of the internal devices to complete the corresponding instruction operations under different experimental processes during the laboratory use and the corresponding numerical ratio of the instruction operation completion time in advance.

3. A laboratory management system based on a large model according to claim 2, characterized in that: If the laboratory performance evaluation coefficient exceeds the evaluation coefficient threshold, it is inferred that the laboratory real-time performance evaluation is abnormal; if the laboratory performance evaluation coefficient does not exceed the evaluation coefficient threshold, it is inferred that the laboratory real-time performance evaluation is normal.

4. A laboratory management system based on a large model according to claim 1, characterized in that: The environmental maintenance data refers to the numerical ratio of the non-overlapping deviation increase rate between the operating environment parameters of the internal device and the set environmental parameter range corresponding to the progress of different experimental processes during the laboratory operation stage, and the speed reduction rate of the internal device's own hardware processing instruction operation delay; the position maintenance data refers to the frequency increase rate of overlapping trajectories of different operators in the laboratory as the placement position changes when the internal device executes the experimental process during the laboratory operation stage.

5. A laboratory management system based on a large model according to claim 4, characterized in that: If the environmental maintenance data exceeds the speed value ratio threshold, or the position maintenance data exceeds the frequency increase speed threshold, it is inferred that the laboratory maintenance performance evaluation is abnormal; If the environmental maintenance data does not exceed the speed value ratio threshold, and the position maintenance data does not exceed the frequency increase speed threshold, it is inferred that the laboratory maintenance performance assessment is normal.

6. A laboratory management system based on a large model according to claim 1, characterized in that: The traffic control information and data control information are respectively the traffic consumption of the laboratory coverage network in addition to the current experimental data transmission traffic consumption during the laboratory use phase of the experimental data storage process and the excess of the set control traffic generation threshold, and the increased traffic consumption of the data stream generated by any data source in the laboratory coverage network in addition to the experimental data transmission during the experimental data transmission process and the corresponding numerical ratio of the accumulated time of the connection coverage network at the data stream receiving end.

7. A laboratory management system based on a large model according to claim 6, characterized in that: If the flow control information exceeds the flow excess threshold, or the data control information exceeds the flow duration ratio threshold, it is inferred that the current network security assessment in the laboratory is abnormal; If the flow control information does not exceed the excess flow threshold, and the data control information does not exceed the flow duration ratio threshold, it is inferred that the current network security assessment in the laboratory is normal.

8. The laboratory management system based on a large model according to claim 1, characterized in that: The reagent safety information and power safety information respectively include the identification and warning time of the corresponding regional storage equipment when multiple types of reagents are stored in the same area during real-time laboratory experiments and abnormal types of reagents are used, and the excess leakage time and overload alarm time corresponding to the load operation of each circuit of the laboratory's internal devices under any indoor area temperature and humidity fluctuation scenario.

9. A laboratory management system based on a large model according to claim 1, characterized in that: If the drug safety information exceeds the identification warning time threshold, or the power safety information does not exceed the time-consuming excess output threshold, it is inferred that the current laboratory's experimental safety assessment is abnormal; If the reagent safety information does not exceed the identification warning time threshold, and the power safety information exceeds the time-consuming excess output threshold, it is inferred that the current laboratory's experimental safety assessment is normal.

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