A laboratory environment safety monitoring method, system and storage medium

Abstract

The present invention relates to the field of laboratory technology, and in particular to a laboratory environment safety monitoring method, system and storage medium. The method comprises: collecting three-dimensional modeling data in a laboratory, establishing a three-dimensional visualization model of the laboratory environment, obtaining real-time information in a laboratory experiment cycle and marking it in the three-dimensional visualization model; integrating the real-time information in the experiment cycle, and quantifying and generating a laboratory state safety value; judging whether to enter a laboratory early warning analysis stage according to the laboratory state safety value and the real-time information in the experiment cycle; after entering the laboratory early warning analysis stage, extracting the laboratory's experimental real-time information, analyzing the changes in the experimental real-time information, and evaluating the adaptability of the current experiment to the laboratory safety hazards; integrating the laboratory state safety value and the adaptability of the current experiment to the laboratory safety hazards, and giving an early warning of the risks of the current experiment.

Description

Background Art

[0002] Laboratories are the core places for scientific research and technological development, involving various chemical, biological, and physical experiments, which often involve the use of hazardous materials, high-precision equipment, and complex operating procedures. Modern laboratory management is developing in a data-driven direction. By collecting and analyzing a large amount of experimental data, laboratories can control the experimental process more accurately and reduce the risk of experimental failure.

[0003] Disadvantages of existing technologies: In the field of laboratory safety monitoring technology, traditional methods usually only focus on a single type of data, such as fire alarms or equipment status, and lack a comprehensive assessment of the entire laboratory status, resulting in one-sided monitoring effects; in terms of risk warning, existing systems often rely on fixed thresholds and cannot be adjusted dynamically, resulting in delayed risk identification, delayed warnings, and untimely data processing. Summary of the invention

[0004] The main purpose of the present invention is to provide a laboratory environment safety monitoring method, and further to provide a laboratory environment safety monitoring system capable of running and implementing the above method, so as to effectively solve the above problems mentioned in the background technology.

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

[0006] In the first aspect, a laboratory environment safety monitoring method is proposed, the method comprising the following steps:

[0007] S1. Collect 3D modeling data in the laboratory, build a 3D visualization model of the laboratory environment, obtain real-time information during the laboratory experiment cycle and mark it in the 3D visualization model;

[0008] S2. Comprehensive real-time information within the experimental cycle to quantify and generate laboratory status safety values;

[0009] S3. Determine whether to enter the laboratory early warning analysis stage based on the laboratory status safety value and real-time information within the experimental cycle;

[0010] S4. After entering the laboratory early warning analysis stage, extract the laboratory's real-time experimental information, analyze the changes in the real-time experimental information, and evaluate the adaptability of the current experiment to laboratory safety hazards;

[0011] S5. Comprehensively consider the laboratory status safety value and the adaptability of the current experiment to laboratory safety hazards, and issue an early warning for the risks of the current experiment.

[0012] A further improvement of the present invention is that S1 comprises the following specific steps:

[0013] S11. Arrange 3D laser scanning points inside the laboratory according to the laboratory layout, use a 3D laser scanner to scan the inside of the laboratory, obtain point cloud data, and output a 3D point cloud model of the laboratory after splicing, denoising, and registration processing of the point cloud data;

[0014] S12. Obtain the laboratory equipment layout, experimental sample layout and experimental material storage diagram, and use Revit software to build a 3D model of the laboratory interior;

[0015] S13, obtaining the GCJ-02 coordinates of laboratory equipment, samples, and materials, and integrating the three-dimensional point cloud model, the three-dimensional model, and the GCJ-02 coordinates into a three-dimensional visualization model of the laboratory environment.

[0016] A further improvement of the present invention is that the real-time information in S1 includes hardware real-time information and security real-time information. The hardware real-time information includes operating status information of experimental equipment in the laboratory, equipment maintenance information, and power status information; the security real-time information includes fire alarm status information, smoke status information, and gas leakage status information.

[0017] A further improvement of the present invention is that S2 comprises the following specific steps:

[0018] S21: Synchronize and mix the hardware real-time information, security real-time information and the time node of information collection, and extract the features of the hardware real-time information S(t) and security real-time information F(t) at the time node, where t is the time node of information collection;

[0019] S22: Comprehensively receive the real-time information and quantify and generate a laboratory status safety value, wherein the calculation formula of the laboratory status safety value is: Among them, Q(t) is the laboratory state safety value, n is the duration of the laboratory experiment cycle, and a 1 is the impact factor of hardware real-time information, a 2 It is the influencing factor of real-time security information.

[0020] A further improvement of the present invention is that S3 comprises the following specific steps:

[0021] S31, preset a laboratory state safety value threshold, compare the laboratory state safety value with the laboratory state safety value threshold, when the laboratory state safety value Q(t) is greater than the laboratory state safety value threshold, generate a laboratory state safety signal, when the laboratory state safety value Q(t) is less than or equal to the laboratory state safety value threshold, generate a laboratory state hidden danger signal;

[0022] S32, preset a hardware real-time information threshold, compare the hardware real-time information with the hardware real-time information threshold, and when the hardware real-time information value S(t) is greater than the hardware real-time information threshold, generate a hardware status receivable signal; when the hardware real-time information value S(t) is less than or equal to the hardware real-time information threshold, generate a hardware status hidden danger signal;

[0023] S33, preset a security real-time information threshold, compare the security real-time information with the security real-time information threshold, and generate a security status good signal when the security real-time information value F(t) is greater than the security real-time information threshold, and generate a security status hidden danger signal when the security real-time information value S(t) is less than or equal to the security real-time information threshold;

[0024] S34. When the laboratory status safety signal, the hardware status receivable signal and the security status good signal are received at the same time, it is determined not to enter the laboratory early warning analysis stage, otherwise, the laboratory early warning analysis stage is entered.

[0025] A further improvement of the present invention is that S4 comprises the following specific steps:

[0026] S41, extracting the laboratory's real-time experimental information W(t), wherein the real-time experimental information includes real-time information on sample status, real-time information on personnel status, and real-time information on experimental progress status;

[0027] S42. Analyze the changes in the real-time information of the experiment, evaluate the volatility of the real-time information of the experiment within the experiment period, and calculate the standard deviation of the real-time information of the experiment. The specific formula is: in, is the mean of the real-time information of the experiment within the experimental period;

[0028] S43. Calculate the correlation between the real-time information of the experiment and the safety value of the laboratory status. The specific calculation formula is: Among them, XG is the correlation between the real-time information of the experiment and the safety value of the laboratory status, It is the mean value of laboratory safety status.

[0029] A further improvement of the present invention is that S4 also includes evaluating the adaptability of the current experiment to laboratory safety hazards, and the specific formula is: Where SYD is the adaptability of the current experiment to laboratory safety hazards.

[0030] A further improvement of the present invention is that S5 comprises the following specific steps:

[0031] S51, comprehensive laboratory state safety value Q (t) and the adaptability of the current experiment to laboratory safety hazards SYD, calculate the risk index of the current experiment, the specific calculation formula is: where β1 is the influencing factor of laboratory status safety value, β 2 is the influencing factor of the adaptability of the current experiment to laboratory safety hazards;

[0032] S52. Preset the risk index threshold and initiate an early warning when the FX value is greater than the risk index threshold.

[0033] In the second aspect, a laboratory environment safety monitoring system is proposed, the system comprising:

[0034] Collection construction module, safety assessment module, early warning judgment module, adaptation assessment module, risk early warning module;

[0035] The acquisition and construction module is used to collect the three-dimensional modeling data in the laboratory, establish a three-dimensional visualization model of the laboratory environment, obtain real-time information within the laboratory experiment cycle and mark it in the three-dimensional visualization model;

[0036] The safety assessment module is used to integrate the real-time information within the experimental cycle and quantify the laboratory status safety value;

[0037] The early warning judgment module is used to judge whether to enter the laboratory early warning analysis stage according to the laboratory status safety value and the real-time information within the experimental cycle;

[0038] The adaptability assessment module is used to extract the real-time experimental information of the laboratory after entering the laboratory early warning analysis stage, analyze the changes in the real-time experimental information, and assess the adaptability of the current experiment to the laboratory safety hazards;

[0039] The risk warning module is used to comprehensively consider the laboratory status safety value and the adaptability of the current experiment to laboratory safety hazards, and to warn of the risks of the current experiment.

[0040] A computer-readable storage medium of the present invention stores a computer program, which, when executed by a processor, implements the above-mentioned laboratory environment safety monitoring method.

[0041] The technical effects of the present invention are as follows:

[0042] A laboratory environment safety monitoring method was constructed. Through three-dimensional modeling, it provides intuitive visualization of the laboratory environment and can intuitively view the status changes of various equipment and environments. By quantifying and generating the "laboratory status safety value", the overall laboratory environment is comprehensively evaluated, avoiding the limitation of monitoring only a single parameter. By using real-time data analysis and experimental fitness evaluation, the risk index is dynamically calculated to achieve real-time early warning of experimental risks. Hardware real-time information, security real-time information and experimental real-time information are integrated in the same system to facilitate unified management and data sharing. It better realizes the safety management of the laboratory, can effectively cope with the changing experimental environment, and dynamically monitor and warn of safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0044] Figure 1 A schematic diagram of a flow chart of a laboratory environment safety monitoring method according to Embodiment 1 of the present invention;

[0045] Figure 2 This is a schematic diagram of the structure of a laboratory environment safety monitoring system according to Example 2 of the present invention. DETAILED DESCRIPTION

[0046] Example 1

[0047] This embodiment constructs a laboratory environment safety monitoring method, which provides intuitive visualization of the laboratory environment through three-dimensional modeling, and can intuitively view the status changes of various equipment and environments; through quantitative generation of "laboratory status safety value", the overall laboratory environment is comprehensively evaluated, avoiding the limitation of monitoring only a single parameter; using real-time data analysis and experimental fitness evaluation, the risk index is dynamically calculated to achieve real-time early warning of experimental risks; hardware real-time information, security real-time information and experimental real-time information are integrated in the same system to facilitate unified management and data sharing; better realize the safety management of the laboratory, and can effectively cope with the changing experimental environment, and dynamically monitor and warn of safety hazards.

[0048] A laboratory environment safety monitoring method, such as Figure 1 As shown, the following specific steps are included:

[0049] S1. Collect 3D modeling data in the laboratory, build a 3D visualization model of the laboratory environment, obtain real-time information during the laboratory experiment cycle and mark it in the 3D visualization model;

[0050] S2. Comprehensive real-time information within the experimental cycle to quantify and generate laboratory status safety values;

[0051] S3. Determine whether to enter the laboratory early warning analysis stage based on the laboratory status safety value and real-time information within the experimental cycle;

[0052] S4. After entering the laboratory early warning analysis stage, extract the laboratory's real-time experimental information, analyze the changes in the real-time experimental information, and evaluate the adaptability of the current experiment to laboratory safety hazards;

[0053] S5. Comprehensively consider the laboratory status safety value and the adaptability of the current experiment to laboratory safety hazards, and issue an early warning for the risks of the current experiment.

[0054] In this embodiment, S1 includes the following specific steps:

[0055] S11. Arrange 3D laser scanning points inside the laboratory according to the laboratory layout, use a 3D laser scanner to scan the inside of the laboratory, obtain point cloud data, and output a 3D point cloud model of the laboratory after splicing, denoising, and registration processing of the point cloud data;

[0056] S12. Obtain the laboratory equipment layout, experimental sample layout and experimental material storage diagram, and use Revit software to build a 3D model of the laboratory interior;

[0057] S13, obtaining the GCJ-02 coordinates of laboratory equipment, samples, and materials, and integrating the three-dimensional point cloud model, the three-dimensional model, and the GCJ-02 coordinates into a three-dimensional visualization model of the laboratory environment.

[0058] In this embodiment, the real-time information in S1 includes hardware real-time information and security real-time information. The hardware real-time information includes the operating status information of experimental equipment in the laboratory, equipment maintenance information, and power supply status information; the security real-time information includes fire alarm status information, smoke status information, and gas leakage status information.

[0059] In this embodiment, S2 includes the following specific steps:

[0060] S21: Synchronize and mix the hardware real-time information, security real-time information and the time node of information collection, and extract the features of the hardware real-time information S(t) and security real-time information F(t) at the time node, where t is the time node of information collection;

[0061] S22: Comprehensively receive the real-time information and quantify and generate a laboratory status safety value, wherein the calculation formula of the laboratory status safety value is: Among them, Q(t) is the laboratory state safety value, n is the duration of the laboratory experiment cycle, and a 1 is the impact factor of hardware real-time information, a 2 It is the influencing factor of real-time security information.

[0062] In this embodiment, S3 includes the following specific steps:

[0063] S31, preset a laboratory state safety value threshold, compare the laboratory state safety value with the laboratory state safety value threshold, when the laboratory state safety value Q(t) is greater than the laboratory state safety value threshold, generate a laboratory state safety signal, when the laboratory state safety value Q(t) is less than or equal to the laboratory state safety value threshold, generate a laboratory state hidden danger signal;

[0064] S32, preset a hardware real-time information threshold, compare the hardware real-time information with the hardware real-time information threshold, and when the hardware real-time information value S(t) is greater than the hardware real-time information threshold, generate a hardware status receivable signal; when the hardware real-time information value S(t) is less than or equal to the hardware real-time information threshold, generate a hardware status hidden danger signal;

[0065] S33, preset a security real-time information threshold, compare the security real-time information with the security real-time information threshold, and generate a security status good signal when the security real-time information value F(t) is greater than the security real-time information threshold, and generate a security status hidden danger signal when the security real-time information value S(t) is less than or equal to the security real-time information threshold;

[0066] S34. When the laboratory status safety signal, the hardware status receivable signal and the security status good signal are received at the same time, it is determined not to enter the laboratory early warning analysis stage, otherwise, the laboratory early warning analysis stage is entered.

[0067] In this embodiment, S4 includes the following specific steps:

[0068] S41, extracting the laboratory's real-time experimental information W(t), wherein the real-time experimental information includes real-time information on sample status, real-time information on personnel status, and real-time information on experimental progress status;

[0069] S42. Analyze the changes in the real-time information of the experiment, evaluate the volatility of the real-time information of the experiment within the experiment period, and calculate the standard deviation of the real-time information of the experiment. The specific formula is: in, is the mean of the real-time information of the experiment within the experimental period;

[0070] S43. Calculate the correlation between the real-time information of the experiment and the safety value of the laboratory status. The specific calculation formula is: Among them, XG is the correlation between the real-time information of the experiment and the safety value of the laboratory status, It is the mean value of laboratory safety status.

[0071] In this embodiment, S4 also includes evaluating the adaptability of the current experiment to laboratory safety hazards, and the specific formula is: Where SYD is the adaptability of the current experiment to laboratory safety hazards.

[0072] In this embodiment, S5 includes the following specific steps:

[0073] S51, comprehensive laboratory state safety value Q (t) and the adaptability of the current experiment to laboratory safety hazards SYD, calculate the risk index of the current experiment, the specific calculation formula is: where β 1 is the influencing factor of laboratory status safety value, β 2 is the influencing factor of the adaptability of the current experiment to laboratory safety hazards;

[0074] S52. Preset the risk index threshold and initiate an early warning when the FX value is greater than the risk index threshold.

[0075] Example 2

[0076] This embodiment proposes a laboratory environment safety monitoring system. Figure 2 As shown, it includes: acquisition construction module, safety assessment module, early warning judgment module, adaptation assessment module, and risk early warning module;

[0077] The acquisition and construction module is used to collect the three-dimensional modeling data in the laboratory, establish a three-dimensional visualization model of the laboratory environment, obtain real-time information within the laboratory experiment cycle and mark it in the three-dimensional visualization model;

[0078] The safety assessment module is used to integrate the real-time information within the experimental cycle and quantify the laboratory status safety value;

[0079] The early warning judgment module is used to judge whether to enter the laboratory early warning analysis stage according to the laboratory status safety value and the real-time information within the experimental cycle;

[0080] The adaptability assessment module is used to extract the real-time experimental information of the laboratory after entering the laboratory early warning analysis stage, analyze the changes in the real-time experimental information, and assess the adaptability of the current experiment to the laboratory safety hazards;

[0081] The risk warning module is used to comprehensively consider the laboratory status safety value and the adaptability of the current experiment to laboratory safety hazards, and to warn of the risks of the current experiment.

[0082] In this embodiment, the realization of the three-dimensional visualization model includes the following specific steps: first, three-dimensional laser scanning points are arranged inside the laboratory according to the laboratory layout, and the inside of the laboratory is scanned using a three-dimensional laser scanner to obtain point cloud data. The point cloud data is spliced, denoised, and registered to output a three-dimensional point cloud model of the laboratory; then, the laboratory equipment layout diagram, experimental sample layout diagram, and experimental material storage diagram are obtained, and the three-dimensional model of the interior of the laboratory is constructed using Revit software; finally, the GCJ-02 coordinates of the laboratory equipment, samples, and materials are obtained, and the three-dimensional point cloud model, three-dimensional model, and GCJ-02 coordinates are integrated into a three-dimensional visualization model of the laboratory environment.

[0083] In this embodiment, the real-time information includes hardware real-time information and security real-time information. The hardware real-time information includes the operating status information of experimental equipment in the laboratory, equipment maintenance information, and power status information; the security real-time information includes fire alarm status information, smoke status information, and gas leakage status information.

[0084] In this embodiment, the quantitative generation of the laboratory status safety value includes the following specific implementation steps: first, the hardware real-time information, the security real-time information and the time node of information collection are synchronously mixed, and the characteristics of the hardware real-time information S(t) and the security real-time information F(t) at the time node are extracted, where t is the time node of information collection; then, the received real-time information is integrated to quantitatively generate the laboratory status safety value, and the calculation formula of the laboratory status safety value is: Among them, Q(t) is the laboratory state safety value, n is the duration of the laboratory experiment cycle, and a 1 is the impact factor of hardware real-time information, a 2 It is the influencing factor of real-time security information.

[0085] In this embodiment, the specific steps for determining whether to enter the laboratory early warning analysis stage are: presetting a laboratory status safety value threshold, comparing the laboratory status safety value with the laboratory status safety value threshold, and when the laboratory status safety value Q(t) is greater than the laboratory status safety value threshold, generating a laboratory status safety signal; when the laboratory status safety value Q(t) is less than or equal to the laboratory status safety value threshold, generating a laboratory status hidden danger signal; presetting a hardware real-time information threshold, comparing the hardware real-time information with the hardware real-time information threshold, and generating a hardware status acceptable signal when the hardware real-time information value S(t) is greater than the hardware real-time information threshold. When the hardware real-time information value S(t) is less than or equal to the hardware real-time information threshold, a hardware status hidden danger signal is generated; a security real-time information threshold is preset, and the security real-time information is compared with the security real-time information threshold. When the security real-time information value F(t) is greater than the security real-time information threshold, a security status good signal is generated; when the security real-time information value S(t) is less than or equal to the security real-time information threshold, a security status hidden danger signal is generated; when the laboratory status safety signal, the hardware status receivable signal and the security status good signal are received at the same time, it is determined not to enter the laboratory early warning analysis stage, otherwise, the laboratory early warning analysis stage is entered.

[0086] In this embodiment, evaluating the adaptability of the current experiment to laboratory safety hazards includes the following specific steps: first, extracting the laboratory's real-time experimental information W(t), wherein the real-time experimental information includes real-time information on sample status, real-time information on personnel status, and real-time information on experimental progress status; then analyzing the changes in the real-time experimental information, evaluating the volatility of the real-time experimental information within the experimental cycle, and calculating the standard deviation of the real-time experimental information. The specific formula is: in, is the mean of the real-time experimental information within the experimental period; further, the correlation between the real-time experimental information and the laboratory status safety value is calculated, and the specific calculation formula is: Among them, XG is the correlation between the real-time information of the experiment and the safety value of the laboratory status, is the mean value of laboratory status safety value; finally, the adaptability of the current experiment to laboratory safety hazards is evaluated, and the specific formula is: Where SYD is the adaptability of the current experiment to laboratory safety hazards.

[0087] In this embodiment, early warning of the risk of the current experiment includes the following specific steps: First, the risk index of the current experiment is calculated by comprehensively considering the laboratory state safety value Q(t) and the adaptability SYD of the current experiment to laboratory safety hazards. The specific calculation formula is: where β 1 is the influencing factor of laboratory status safety value, β 2It is the influencing factor of the adaptability of the current experiment to laboratory safety hazards; then the risk index threshold is preset, and the early warning is activated when FX is greater than the risk index threshold.

[0088] The above-mentioned parameters and steps for each unit module to realize corresponding functions in a laboratory environment safety monitoring system of the present invention can refer to the parameters and steps in the embodiment of a laboratory environment safety monitoring method in Example 1 above.

[0089] Example 3

[0090] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes the above-mentioned laboratory environment safety monitoring method by calling the computer program stored in the memory.

[0091] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein at least one computer program is stored in the memory, and the computer program is loaded and executed by the processor to implement a laboratory environment safety monitoring method provided by the above method embodiment. The electronic device may also include other components for implementing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0092] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), and it can also be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

[0093] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0094] The present invention is described with reference to flowcharts and block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process or block in the flowchart and block diagram, as well as the combination of processes and blocks in the flowchart or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts. Figure 1 Process or multiple processes and boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0095] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 Process or multiple processes and boxes Figure 1 The steps for the functions specified in one or more boxes.

[0096] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

Claims

1. A laboratory environment safety monitoring method, characterized in that: The specific steps include: S1. Collect 3D modeling data in the laboratory, build a 3D visualization model of the laboratory environment, obtain real-time information during the laboratory experiment cycle and mark it in the 3D visualization model; S2. Comprehensive real-time information within the experimental cycle to quantify and generate laboratory status safety values; S3. Determine whether to enter the laboratory early warning analysis stage based on the laboratory status safety value and real-time information within the experimental cycle; S4. After entering the laboratory early warning analysis stage, extract the laboratory's real-time experimental information, analyze the changes in the real-time experimental information, and evaluate the adaptability of the current experiment to laboratory safety hazards; S5. Comprehensively consider the laboratory status safety value and the adaptability of the current experiment to laboratory safety hazards, and issue an early warning for the risks of the current experiment; The S2 comprises the following specific steps: S21: Synchronize and mix hardware real-time information, security real-time information and information collection time nodes to extract hardware real-time information , real-time security information Features at time nodes, where t is the time node of information collection; S22: Comprehensively receive the real-time information and quantify and generate a laboratory status safety value, wherein the calculation formula of the laboratory status safety value is: ;in, It is the laboratory safety value. is the influencing factor of hardware real-time information, The influencing factors of real-time security information; The S5 comprises the following specific steps: S51, comprehensive laboratory status safety value And the adaptability of the current experiment to laboratory safety hazards SYD, calculate the risk index of the current experiment, the specific calculation formula is: ;in is the influencing factor of the laboratory status safety value, is the influencing factor of the adaptability of the current experiment to laboratory safety hazards; S52, preset risk index threshold, when When the risk index is greater than the threshold, an early warning is initiated.

2. A laboratory environment safety monitoring method according to claim 1, characterized in that: S1 comprises the following specific steps: S11. Arrange 3D laser scanning points inside the laboratory according to the laboratory layout, use a 3D laser scanner to scan the inside of the laboratory, obtain point cloud data, and output a 3D point cloud model of the laboratory after splicing, denoising, and registration processing of the point cloud data; S12. Obtain the laboratory equipment layout, experimental sample layout and experimental material storage diagram, and use Revit software to build a 3D model of the laboratory interior; S13, obtaining the GCJ-02 coordinates of laboratory equipment, samples, and materials, and integrating the three-dimensional point cloud model, the three-dimensional model, and the GCJ-02 coordinates into a three-dimensional visualization model of the laboratory environment.

3. A laboratory environment safety monitoring method according to claim 2, characterized in that: The real-time information in S1 includes hardware real-time information and security real-time information. The hardware real-time information includes the operating status information of the experimental equipment in the laboratory, equipment maintenance information, and power status information; the security real-time information includes fire alarm status information, smoke status information, and gas leakage status information.

4. A laboratory environment safety monitoring method according to claim 3, characterized in that: The S3 includes the following specific steps: S31, preset the laboratory status safety value threshold, compare the laboratory status safety value with the laboratory status safety value threshold, when the laboratory status safety value When the laboratory status safety value is greater than the laboratory status safety value threshold, a laboratory status safety signal is generated. When it is less than or equal to the laboratory status safety value threshold, a laboratory status hidden danger signal is generated; S32, preset a hardware real-time information threshold, compare the hardware real-time information with the hardware real-time information threshold, and When the hardware real-time information value is greater than the hardware real-time information threshold, a hardware status receivable signal is generated. When it is less than or equal to the hardware real-time information threshold, a hardware status hidden danger signal is generated; S33, preset a security real-time information threshold, compare the security real-time information with the security real-time information threshold, and when the security real-time information value is When the security real-time information value is greater than the security real-time information threshold, a security good status signal is generated. When it is less than or equal to the security real-time information threshold, a security status hidden danger signal is generated; S34. When the laboratory status safety signal, the hardware status receivable signal and the security status good signal are received at the same time, it is determined not to enter the laboratory early warning analysis stage, otherwise, the laboratory early warning analysis stage is entered.

5. A laboratory environment safety monitoring method according to claim 4, characterized in that: The S4 comprises the following specific steps: S41. Extract real-time information of laboratory experiments The real-time information of the experiment includes real-time information of sample status, real-time information of personnel status, and real-time information of experimental progress status; S42. Analyze the changes in the real-time information of the experiment, evaluate the volatility of the real-time information of the experiment within the experiment period, and calculate the standard deviation of the real-time information of the experiment. The specific formula is: ;in, is the mean value of the real-time information of the experiment within the experimental cycle, and n is the duration of the experimental cycle in the laboratory; S43. Calculate the correlation between the real-time information of the experiment and the safety value of the laboratory status. The specific calculation formula is: ; Among them, XG is the correlation between the real-time information of the experiment and the safety value of the laboratory status, It is the mean value of laboratory safety status.

6. A laboratory environment safety monitoring method according to claim 5, characterized in that: The S4 also includes evaluating the adaptability of the current experiment to laboratory safety hazards. The specific formula is: ;in It is the adaptability of the current experiment to laboratory safety hazards.

7. A laboratory environment safety monitoring system, which is implemented based on a laboratory environment safety monitoring method according to any one of claims 1 to 6, characterized in that: The system includes: a collection and construction module, a safety assessment module, a warning judgment module, an adaptation assessment module, and a risk warning module; The acquisition and construction module is used to collect the three-dimensional modeling data in the laboratory, establish a three-dimensional visualization model of the laboratory environment, obtain real-time information within the laboratory experiment cycle and mark it in the three-dimensional visualization model; The safety assessment module is used to integrate the real-time information within the experimental cycle and quantify the laboratory status safety value; The early warning judgment module is used to judge whether to enter the laboratory early warning analysis stage according to the laboratory status safety value and the real-time information within the experimental cycle; The adaptability assessment module is used to extract the real-time experimental information of the laboratory after entering the laboratory early warning analysis stage, analyze the changes in the real-time experimental information, and assess the adaptability of the current experiment to the laboratory safety hazards; The risk warning module is used to comprehensively consider the laboratory status safety value and the adaptability of the current experiment to laboratory safety hazards, and to warn of the risks of the current experiment.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, a laboratory environment safety monitoring method as described in any one of claims 1 to 6 is implemented.

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