Laboratory safety data processing system, method and device

Abstract

The invention discloses a laboratory safety data processing system, method and device, electronic equipment and a computer storage medium. The system comprises a plurality of laboratory environment monitors, a laboratory environment data collector and a multi-mode alarm recognizer. Each laboratory environment monitor is used for monitoring environment characteristics of a specified characteristic type in a laboratory environment and outputting environment monitoring data of the specified characteristic type; the laboratory environment data acquisition unit is used for acquiring environment monitoring data of various feature types output by the plurality of laboratory environment monitors and sending the environment monitoring data of various feature types to the multimode alarm recognizer; the multi-mode alarm recognizer is used for judging whether a safety problem of a specified problem type exists in a laboratory environment based on the environment monitoring data of multiple feature types, outputting a recognition result of the laboratory safety problem, and if the recognition result shows that the safety problem of the specified problem type exists in the laboratory environment, giving an alarm. And if so, executing an alarm operation for the security problem of the specified problem type.

Description

Technical Field

[0001] The present application relates to the field of laboratory safety technology, and in particular to a laboratory safety data processing system, method, device, electronic equipment and computer storage medium. Background Art

[0002] As we all know, the laboratory buildings of universities and scientific research institutions have numerous laboratories, such as electric furnace rooms, disinfection rooms, liquid nitrogen storage rooms, hazardous chemicals rooms and sample storage rooms, which are all places with many safety hazards. Therefore, effective monitoring of laboratory safety is of great significance.

[0003] Existing laboratory safety monitoring methods mainly rely on single laboratory data. For example, an alarm will be triggered when the laboratory smoke data reaches the threshold. If the water vapor concentration reaches the threshold, the alarm will also be triggered, resulting in a false alarm. Or, the alarm will not be triggered until the concentration of laboratory gas leakage reaches the threshold. The alarm time is relatively delayed, which has a great impact on the daily work of the laboratory.

[0004] Therefore, how to provide a laboratory safety data processing method to improve the accuracy of laboratory safety hazard monitoring and reduce the false alarm rate of laboratory safety hazards is an urgent problem to be solved. Summary of the invention

[0005] The embodiment of the present application provides a laboratory safety data processing method, which improves the accuracy of laboratory safety hazard monitoring and reduces the false alarm rate of laboratory safety hazards.

[0006] An embodiment of the present application provides a laboratory safety data processing system, including: multiple laboratory environment monitors, a laboratory environment data collector, and a multi-mode alarm identifier; each of the multiple laboratory environment monitors is used to monitor environmental characteristics of a specified characteristic type in the laboratory environment and output environmental monitoring data of the specified characteristic type; the laboratory environment data collector is used to collect environmental monitoring data of multiple characteristic types output by the multiple laboratory environment monitors, and send the environmental monitoring data of the multiple characteristic types to the multi-mode alarm identifier; the multi-mode alarm identifier is used to determine whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple characteristic types, and output an identification result of the laboratory safety problem. If the identification result indicates that there is a safety problem of a specified problem type in the laboratory environment, an alarm operation for the safety problem of the specified problem type is performed.

[0007] Optionally, the laboratory environment data collector is also used for:

[0008] Obtain a correspondence table between feature types to which environmental features in the laboratory environment belong and problem types to which security problems existing in the laboratory environment belong;

[0009] Based on the correspondence table, obtaining the problem type corresponding to the characteristic type of each environmental monitoring data in the environmental monitoring data of the multiple characteristic types;

[0010] If the problem type corresponding to the feature type to which each environmental monitoring data belongs is the specified problem type, then each environmental monitoring data is added to the environmental monitoring data set of the specified problem type;

[0011] The sending of the environmental monitoring data of the multiple characteristic types to the multi-mode alarm identifier comprises: sending the environmental monitoring data set of the specified problem type to the multi-mode alarm identifier;

[0012] The environmental monitoring data based on the multiple feature types, judging whether there are safety issues of a specified problem type in the laboratory environment, and outputting identification results of the laboratory safety issues, include: determining that the problem type corresponding to the environmental monitoring data set of the specified problem type is the specified problem type; judging whether there are safety issues of the specified problem type in the laboratory environment based on the environmental monitoring data in the environmental monitoring data set of the specified problem type, and outputting identification results of the laboratory safety issues.

[0013] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0014] Obtain a list of identification strategies corresponding to the specified problem type;

[0015] For any one of the identification strategies in the identification strategy list, obtaining a hit condition of the any one of the identification strategies from the any one of the identification strategies;

[0016] Obtaining parameters required for the hit condition from the hit condition of any one of the identification strategies;

[0017] Obtaining the environment feature type corresponding to the parameters required by the hit condition as the environment feature type to be matched;

[0018] Obtaining environmental monitoring data corresponding to the to-be-matched environmental feature type from the environmental monitoring data of the multiple feature types as the to-be-matched environmental monitoring data;

[0019] Inputting the to-be-matched environmental monitoring data into the parameters required for the hit condition of any one of the identification strategies, and determining whether the hit condition of any one of the identification strategies is met;

[0020] According to the judgment result of whether the hit condition of any identification strategy is met, obtaining the identification strategy hit result of whether the laboratory environment hits any identification strategy;

[0021] After obtaining the identification strategy hit results of each identification strategy in the identification strategy list corresponding to the specified problem type, determine whether there is a security problem of the specified problem type in the laboratory environment based on the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type, and output the identification results of the laboratory safety problem.

[0022] Optionally, judging whether there is a security problem of the specified problem type in the laboratory environment based on the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type, and outputting the identification result of the laboratory safety problem, includes:

[0023] Obtaining a decision strategy corresponding to the specified problem type, wherein the decision strategy defines a hit result that needs to be satisfied by all identification strategies in the identification strategy list corresponding to the specified problem type when a target decision condition is met, wherein the target decision condition is a decision condition for determining that a security problem of the specified problem type exists in a laboratory environment;

[0024] According to the hit results that need to be satisfied by all the recognition strategies in the recognition strategy list corresponding to the specified question type and the recognition strategy hit results of all the recognition strategies in the recognition strategy list corresponding to the specified question type, it is judged whether the recognition strategy hit results of all the recognition strategies in the recognition strategy list corresponding to the specified question type meet the target decision condition;

[0025] If the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type meet the target decision condition, it is determined that a security problem of the specified problem type exists in the laboratory environment, and an identification result indicating that a security problem of the specified problem type exists in the laboratory environment is output.

[0026] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0027] For any one of the multiple feature types, obtaining an identification strategy corresponding to the any one of the feature types;

[0028] Obtaining a hit condition of the identification strategy corresponding to any one of the feature types from the identification strategy corresponding to any one of the feature types as the hit condition to be identified;

[0029] Inputting the environmental monitoring data of any one of the characteristic types into the parameters required for the hit condition to be identified;

[0030] Determine whether the hit condition to be identified is met;

[0031] If the hit condition to be identified is met, determining that the environmental monitoring data of any one of the feature types hits the identification strategy corresponding to any one of the feature types;

[0032] Obtain risk index data corresponding to any one of the feature types;

[0033] After obtaining the risk index data corresponding to each of the plurality of feature types, obtaining the total risk index data of the laboratory environment based on the risk index data corresponding to each of the plurality of feature types;

[0034] Based on the total risk index data of the laboratory environment, determine whether there are safety issues of a specified problem type in the laboratory environment, and output identification results of the laboratory safety issues.

[0035] Optionally, the multi-mode alarm identifier is further used to: if the identification result indicates that there is no security problem of the specified problem type in the laboratory environment, obtain an alarm device alarm strategy list, the alarm device alarm strategy list records the alarm strategy that each alarm device needs to hit to perform an alarm operation;

[0036] For any alarm device, obtaining a hit condition of the alarm policy of the any alarm device from the alarm policy of the any alarm device as a hit condition to be identified;

[0037] Obtaining parameters required for the hit condition to be identified from the hit condition to be identified;

[0038] Obtaining the environmental feature type corresponding to the parameters required for the hit condition to be identified;

[0039] Obtaining environmental monitoring data corresponding to the environmental feature type from the environmental monitoring data of the multiple feature types as environmental monitoring data to be identified;

[0040] Inputting the environmental monitoring data to be identified into the parameters required by the hit condition to be identified;

[0041] Determine whether the hit condition to be identified is met;

[0042] If it is determined that the hit condition to be identified is met, then obtaining an alarm strategy hit identification result of the alarm strategy required to be hit by any alarm device in the laboratory environment to perform an alarm operation;

[0043] According to the alarm strategy hit identification result, an instruction for instructing to prohibit the alarm is sent to any one of the alarm devices.

[0044] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0045] The environmental monitoring data of the multiple characteristic types are input into a preset decision tree model to determine whether there are safety issues of the specified problem type in the laboratory environment, and output the identification results of the laboratory safety issues.

[0046] Optionally, the decision tree model is trained in the following manner:

[0047] Acquire sample data, the sample data including multiple types of environmental monitoring data samples and actual identification result samples of whether there are security issues of a specified problem type in a laboratory environment;

[0048] taking at least one type of data sample among each of the multiple types of environmental monitoring data samples and actual identification result samples of whether there is a safety problem of a specified problem type in each laboratory environment as a set of training sample pairs, wherein the training sample pairs are used to train the decision tree model;

[0049] Obtain an initial decision tree model;

[0050] Inputting at least one type of data sample from each of the multiple types of environmental monitoring data samples into the initial decision tree model to obtain an initial identification result of whether there is a safety problem of a specified problem type in the laboratory environment;

[0051] If the initial recognition result is consistent with the actual recognition result, the initial decision tree model is used as the decision tree model; otherwise, the model parameters in the initial decision tree model are adjusted until the recognition result obtained by the decision tree model after adjusting the model parameters is consistent with the actual recognition result sample, and the decision tree model after adjusting the parameters is determined as the decision tree model.

[0052] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0053] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0054] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0055] The multi-mode alarm identifier is also used for:

[0056] Obtain operating status data of all equipment in the laboratory environment;

[0057] Inputting the environmental monitoring data of the plurality of characteristic types and the operating status data of all equipment in the laboratory environment into an abnormal location prediction model, obtaining a first abnormal location prediction result output by the abnormal location prediction model to indicate whether the abnormal location causing the abnormal environmental monitoring data is located in the laboratory environment;

[0058] If the first prediction result of the abnormal position indicates that the abnormal position is not located in the laboratory environment, obtaining the out-of-laboratory environment monitoring data output by the out-of-laboratory environment monitor, wherein the out-of-laboratory environment monitor is an environment monitor located outside the laboratory environment and within a preset distance range from the laboratory environment;

[0059] Inputting the out-of-laboratory environment monitoring data into the abnormal position prediction model, obtaining an abnormal position second prediction result output by the abnormal position prediction model, which indicates whether the abnormal position causing the abnormal environment monitoring data is located outside the laboratory environment;

[0060] If the second prediction result of the abnormal location indicates that the abnormal location is located outside the laboratory environment, the environmental monitoring data of the multiple feature types, the external laboratory environment monitoring data, the distance data between the external laboratory environment monitor and the laboratory environment, the abnormal location first label data indicating that the abnormal location is located outside the laboratory environment, and the future time period data to be evaluated are input into the security problem prediction model to obtain a second prediction result output by the security problem prediction model indicating whether there is a security problem of at least one problem type in the laboratory environment in the future time period as the second security problem prediction result;

[0061] If the second prediction result of the security problem indicates that there is a security problem of at least one type of problem in the laboratory environment in the future period, an alarm operation is performed for the security problem of at least one type of problem in the laboratory environment in the future period.

[0062] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0063] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0064] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0065] The multi-mode alarm identifier is also used for:

[0066] Obtaining a list of experimental tasks that need to be performed in a laboratory environment within a future period to be evaluated as a list of experimental tasks to be performed;

[0067] For any experimental task in the list of experimental tasks to be executed, obtaining a security policy required for executing any experimental task;

[0068] Inputting the security policy required for any one of the experimental tasks and the abnormal environmental monitoring data into the security environment prediction model, obtaining a first security environment prediction result output by the security environment prediction model to indicate whether the laboratory environment meets the security execution environment required for any one of the experimental tasks;

[0069] If the first security environment prediction result indicates that the laboratory environment does not meet the security execution environment required by any one of the experimental tasks, it is determined that there is a security problem in executing any one of the experimental tasks in the laboratory environment, and an identification result indicating that there is a security problem in executing any one of the experimental tasks in the laboratory environment is output;

[0070] Perform an alarm operation for security issues that exist in executing any of the experimental tasks in a laboratory environment.

[0071] Optionally, the multi-mode alarm identifier is also used for:

[0072] If the first prediction result of the abnormal location indicates that the abnormal location is located in a laboratory environment, the environmental monitoring data of the multiple feature types, the abnormal location second label data indicating that the abnormal location is located in a laboratory environment, and the future time period data to be evaluated are input into the security problem prediction model, and a third prediction result output by the security problem prediction model indicating whether there is a security problem of a specified problem type in the laboratory environment in the future time period is obtained as the third security problem prediction result;

[0073] If the third prediction result of the security problem indicates that there will be a security problem of a specified problem type in the laboratory environment in a future period of time, an alarm operation for the security problem of the specified problem type is performed.

[0074] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0075] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0076] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0077] The multi-mode alarm identifier is also used for:

[0078] Obtain a list of security policies for lab equipment in a lab environment;

[0079] Obtain the security policy of any experimental device in the experimental device security environment list in the laboratory environment;

[0080] Inputting the security policy of any one of the experimental devices and the abnormal environmental monitoring data into the security environment prediction model, obtaining a second security environment prediction result output by the security environment prediction model to indicate whether the laboratory environment meets the security operating environment required by any one of the experimental devices;

[0081] If the second prediction result of the safety environment indicates that the laboratory environment does not meet the safety operation environment required by any one of the experimental devices, it is determined that there is a safety problem in running any one of the experimental devices in the laboratory environment, and an identification result indicating that there is a safety problem in running any one of the experimental devices in the laboratory environment is output;

[0082] An alarm operation is performed for a safety problem in running the experimental device in a laboratory environment.

[0083] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0084] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0085] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0086] The multi-mode alarm identifier is also used for:

[0087] Sending a behavior subject safety monitoring data acquisition request message for requesting to acquire behavior subject safety monitoring data of a behavior subject feature type to the laboratory environment data collector, wherein the behavior subject is a behavior subject that performs an experimental task in the laboratory environment;

[0088] Obtain the subject safety monitoring data returned by the laboratory environment data collector in response to the subject safety monitoring data acquisition request message;

[0089] Inputting the subject safety monitoring data into a subject location detection model to obtain a subject location detection result output by the subject location detection model to indicate whether the subject is located in a laboratory environment;

[0090] If the subject location detection result indicates that the subject is located in a laboratory environment, obtaining a subject security policy for indicating security conditions that the subject needs to meet in performing an experimental task in the laboratory environment;

[0091] Inputting the subject security policy, subject location tag data indicating that the subject is located in a laboratory environment, and abnormal environmental monitoring data into the security problem prediction model, and obtaining a fourth security problem detection result output by the security problem prediction model indicating whether the subject located in the laboratory environment has a security problem;

[0092] If the fourth security problem detection result indicates that the behavior subject located in the laboratory environment has a security problem, an alarm operation for the security problem existing in the behavior subject located in the laboratory environment is performed.

[0093] An embodiment of the present application also provides a laboratory safety data processing method, including: obtaining environmental monitoring data of multiple feature types; based on the environmental monitoring data of the multiple feature types, determining whether there are safety issues of a specified problem type in the laboratory environment, and outputting an identification result of the laboratory safety issue; if the identification result indicates that there are safety issues of the specified problem type in the laboratory environment, performing an alarm operation for the safety issue of the specified problem type.

[0094] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0095] Determine that the problem type corresponding to the environmental monitoring data set of the specified problem type is the specified problem type;

[0096] Based on the environmental monitoring data in the environmental monitoring data set of the specified problem type, determine whether there is a safety problem of the specified problem type in the laboratory environment, and output an identification result of the laboratory safety problem;

[0097] The environmental monitoring data set of the specified problem type is obtained in the following manner:

[0098] Obtain a correspondence table between feature types to which environmental features in the laboratory environment belong and problem types to which security problems existing in the laboratory environment belong;

[0099] Based on the correspondence table, obtaining the problem type corresponding to the characteristic type of each environmental monitoring data in the environmental monitoring data of the multiple characteristic types;

[0100] If the problem type corresponding to the feature type to which each environmental monitoring data belongs is the specified problem type, each environmental monitoring data is added to the environmental monitoring data set of the specified problem type.

[0101] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0102] Obtain a list of identification strategies corresponding to the specified problem type;

[0103] For any one of the identification strategies in the identification strategy list, obtaining a hit condition of the any one of the identification strategies from the any one of the identification strategies;

[0104] Obtaining parameters required for the hit condition from the hit condition of any one of the identification strategies;

[0105] Obtaining the environment feature type corresponding to the parameters required by the hit condition as the environment feature type to be matched;

[0106] Obtaining environmental monitoring data corresponding to the to-be-matched environmental feature type from the environmental monitoring data of the multiple feature types as the to-be-matched environmental monitoring data;

[0107] Inputting the to-be-matched environmental monitoring data into the parameters required for the hit condition of any one of the identification strategies, and determining whether the hit condition of any one of the identification strategies is met;

[0108] According to the judgment result of whether the hit condition of any identification strategy is met, obtaining the identification strategy hit result of whether the laboratory environment hits any identification strategy;

[0109] After obtaining the identification strategy hit results of each identification strategy in the identification strategy list corresponding to the specified problem type, determine whether there is a security problem of the specified problem type in the laboratory environment based on the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type, and output the identification results of the laboratory safety problem.

[0110] Optionally, judging whether there is a security problem of the specified problem type in the laboratory environment based on the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type, and outputting the identification result of the laboratory safety problem, includes:

[0111] Obtaining a decision strategy corresponding to the specified problem type, wherein the decision strategy defines a hit result that needs to be satisfied by all identification strategies in the identification strategy list corresponding to the specified problem type when a target decision condition is met, wherein the target decision condition is a decision condition for determining that a security problem of the specified problem type exists in a laboratory environment;

[0112] According to the hit results that need to be satisfied by all the recognition strategies in the recognition strategy list corresponding to the specified question type and the recognition strategy hit results of all the recognition strategies in the recognition strategy list corresponding to the specified question type, it is judged whether the recognition strategy hit results of all the recognition strategies in the recognition strategy list corresponding to the specified question type meet the target decision condition;

[0113] If the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type meet the target decision condition, it is determined that a security problem of the specified problem type exists in the laboratory environment, and an identification result indicating that a security problem of the specified problem type exists in the laboratory environment is output.

[0114] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0115] For any one of the multiple feature types, obtaining an identification strategy corresponding to the any one of the feature types;

[0116] Obtaining a hit condition of the identification strategy corresponding to any one of the feature types from the identification strategy corresponding to any one of the feature types as the hit condition to be identified;

[0117] Inputting the environmental monitoring data of any one of the characteristic types into the parameters required for the hit condition to be identified;

[0118] Determine whether the hit condition to be identified is met;

[0119] If the hit condition to be identified is met, determining that the environmental monitoring data of any one of the feature types hits the identification strategy corresponding to any one of the feature types;

[0120] Obtain risk index data corresponding to any one of the feature types;

[0121] After obtaining the risk index data corresponding to each of the plurality of feature types, obtaining the total risk index data of the laboratory environment based on the risk index data corresponding to each of the plurality of feature types;

[0122] Based on the total risk index data of the laboratory environment, determine whether there are safety issues of a specified problem type in the laboratory environment, and output identification results of the laboratory safety issues.

[0123] Optionally, also include:

[0124] If the identification result indicates that there is no security problem of the specified problem type in the laboratory environment, then obtaining an alarm device alarm strategy list, wherein the alarm device alarm strategy list records the alarm strategies that each alarm device needs to hit to perform an alarm operation;

[0125] For any alarm device, obtaining a hit condition of the alarm policy of the any alarm device from the alarm policy of the any alarm device as a hit condition to be identified;

[0126] Obtaining parameters required for the hit condition to be identified from the hit condition to be identified;

[0127] Obtaining the environmental feature type corresponding to the parameters required for the hit condition to be identified;

[0128] Obtaining environmental monitoring data corresponding to the environmental feature type from the environmental monitoring data of the multiple feature types as environmental monitoring data to be identified;

[0129] Inputting the environmental monitoring data to be identified into the parameters required by the hit condition to be identified;

[0130] Determine whether the hit condition to be identified is met;

[0131] If it is determined that the hit condition to be identified is met, then obtaining an alarm strategy hit identification result of the alarm strategy required to be hit by any alarm device in the laboratory environment to perform an alarm operation;

[0132] According to the alarm strategy hit identification result, an instruction for instructing to prohibit the alarm is sent to any one of the alarm devices.

[0133] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0134] The environmental monitoring data of the multiple characteristic types are input into a preset decision tree model to determine whether there are safety issues of the specified problem type in the laboratory environment, and output the identification results of the laboratory safety issues.

[0135] Optionally, the decision tree model is trained in the following manner:

[0136] Acquire sample data, the sample data including multiple types of environmental monitoring data samples and actual identification result samples of whether there are security issues of a specified problem type in a laboratory environment;

[0137] taking at least one type of data sample among each of the multiple types of environmental monitoring data samples and actual identification result samples of whether there is a safety problem of a specified problem type in each laboratory environment as a set of training sample pairs, wherein the training sample pairs are used to train the decision tree model;

[0138] Obtain an initial decision tree model;

[0139] Inputting at least one type of data sample from each of the multiple types of environmental monitoring data samples into the initial decision tree model to obtain an initial identification result of whether there is a safety problem of a specified problem type in the laboratory environment;

[0140] If the initial recognition result is consistent with the actual recognition result, the initial decision tree model is used as the decision tree model; otherwise, the model parameters in the initial decision tree model are adjusted until the recognition result obtained by the decision tree model after adjusting the model parameters is consistent with the actual recognition result sample, and the decision tree model after adjusting the parameters is determined as the decision tree model.

[0141] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0142] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0143] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0144] The method further comprises:

[0145] Obtain operating status data of all equipment in the laboratory environment;

[0146] Inputting the environmental monitoring data of the plurality of characteristic types and the operating status data of all equipment in the laboratory environment into an abnormal location prediction model, obtaining a first abnormal location prediction result output by the abnormal location prediction model to indicate whether the abnormal location causing the abnormal environmental monitoring data is located in the laboratory environment;

[0147] If the first prediction result of the abnormal position indicates that the abnormal position is not located in the laboratory environment, obtaining the out-of-laboratory environment monitoring data output by the out-of-laboratory environment monitor, wherein the out-of-laboratory environment monitor is an environment monitor located outside the laboratory environment and within a preset distance range from the laboratory environment;

[0148] Inputting the out-of-laboratory environment monitoring data into the abnormal position prediction model, obtaining an abnormal position second prediction result output by the abnormal position prediction model, which indicates whether the abnormal position causing the abnormal environment monitoring data is located outside the laboratory environment;

[0149] If the second prediction result of the abnormal location indicates that the abnormal location is located outside the laboratory environment, the environmental monitoring data of the multiple feature types, the external laboratory environment monitoring data, the distance data between the external laboratory environment monitor and the laboratory environment, the abnormal location first label data indicating that the abnormal location is located outside the laboratory environment, and the future time period data to be evaluated are input into the security problem prediction model to obtain a second prediction result output by the security problem prediction model indicating whether there is a security problem of at least one problem type in the laboratory environment in the future time period as the second security problem prediction result;

[0150] If the second prediction result of the security problem indicates that there is a security problem of at least one type of problem in the laboratory environment in the future period, an alarm operation is performed for the security problem of at least one type of problem in the laboratory environment in the future period.

[0151] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0152] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0153] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0154] The method further comprises:

[0155] Obtaining a list of experimental tasks that need to be performed in a laboratory environment within a future period to be evaluated as a list of experimental tasks to be performed;

[0156] For any experimental task in the list of experimental tasks to be executed, obtaining a security policy required for executing any experimental task;

[0157] Inputting the security policy required for any one of the experimental tasks and the abnormal environmental monitoring data into the security environment prediction model, obtaining a first security environment prediction result output by the security environment prediction model to indicate whether the laboratory environment meets the security execution environment required for any one of the experimental tasks;

[0158] If the first security environment prediction result indicates that the laboratory environment does not meet the security execution environment required by any one of the experimental tasks, it is determined that there is a security problem in executing any one of the experimental tasks in the laboratory environment, and an identification result indicating that there is a security problem in executing any one of the experimental tasks in the laboratory environment is output;

[0159] Perform an alarm operation for security issues that exist in executing any of the experimental tasks in a laboratory environment.

[0160] Optionally, also include:

[0161] If the first prediction result of the abnormal location indicates that the abnormal location is located in a laboratory environment, the environmental monitoring data of the multiple feature types, the abnormal location second label data indicating that the abnormal location is located in a laboratory environment, and the future time period data to be evaluated are input into the security problem prediction model, and a third prediction result output by the security problem prediction model indicating whether there is a security problem of a specified problem type in the laboratory environment in the future time period is obtained as the third security problem prediction result;

[0162] If the third prediction result of the security problem indicates that there will be a security problem of a specified problem type in the laboratory environment in a future period of time, an alarm operation for the security problem of the specified problem type is performed.

[0163] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0164] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0165] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0166] The method further comprises:

[0167] Obtain a list of security policies for lab equipment in a lab environment;

[0168] Obtain the security policy of any experimental device in the experimental device security environment list in the laboratory environment;

[0169] Inputting the security policy of any one of the experimental devices and the abnormal environmental monitoring data into the security environment prediction model, obtaining a second security environment prediction result output by the security environment prediction model to indicate whether the laboratory environment meets the security operating environment required by any one of the experimental devices;

[0170] If the second prediction result of the safety environment indicates that the laboratory environment does not meet the safety operation environment required by any one of the experimental devices, it is determined that there is a safety problem in running any one of the experimental devices in the laboratory environment, and an identification result indicating that there is a safety problem in running any one of the experimental devices in the laboratory environment is output;

[0171] An alarm operation is performed for a safety problem in running the experimental device in a laboratory environment.

[0172] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0173] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0174] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0175] The method further comprises:

[0176] Sending a behavior subject safety monitoring data acquisition request message for requesting to acquire behavior subject safety monitoring data of a behavior subject feature type to the laboratory environment data collector, wherein the behavior subject is a behavior subject that performs an experimental task in the laboratory environment;

[0177] Obtain the subject safety monitoring data returned by the laboratory environment data collector in response to the subject safety monitoring data acquisition request message;

[0178] Inputting the subject safety monitoring data into a subject location detection model to obtain a subject location detection result output by the subject location detection model to indicate whether the subject is located in a laboratory environment;

[0179] If the subject location detection result indicates that the subject is located in a laboratory environment, obtaining a subject security policy for indicating security conditions that the subject needs to meet in performing an experimental task in the laboratory environment;

[0180] Inputting the subject security policy, subject location tag data indicating that the subject is located in a laboratory environment, and abnormal environmental monitoring data into the security problem prediction model, and obtaining a fourth security problem detection result output by the security problem prediction model indicating whether the subject located in the laboratory environment has a security problem;

[0181] If the fourth security problem detection result indicates that the behavior subject located in the laboratory environment has a security problem, an alarm operation for the security problem existing in the behavior subject located in the laboratory environment is performed.

[0182] An embodiment of the present application also provides a laboratory safety data processing device, including: an environmental monitoring data acquisition unit, used to obtain environmental monitoring data of multiple feature types; a safety problem judgment unit, used to judge whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and output an identification result of the laboratory safety problem; if the identification result indicates that there is a safety problem of the specified problem type in the laboratory environment, an alarm operation is performed for the safety problem of the specified problem type.

[0183] The present application also provides an electronic device, which includes a processor and a memory; a computer program is stored in the memory, and the processor executes the above method after running the computer program.

[0184] The present application also provides a computer storage medium, wherein the computer storage medium stores a computer program, and after the computer program is run by a processor, the above method is executed.

[0185] Compared with the prior art, the embodiments of the present application have the following advantages:

[0186] An embodiment of the present application provides a laboratory safety data processing system, including: multiple laboratory environment monitors, a laboratory environment data collector, and a multi-mode alarm identifier; each of the multiple laboratory environment monitors is used to monitor environmental characteristics of a specified characteristic type in the laboratory environment and output environmental monitoring data of the specified characteristic type; the laboratory environment data collector is used to collect environmental monitoring data of multiple characteristic types output by the multiple laboratory environment monitors, and send the environmental monitoring data of the multiple characteristic types to the multi-mode alarm identifier; the multi-mode alarm identifier is used to determine whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple characteristic types, and output an identification result of the laboratory safety problem. If the identification result indicates that there is a safety problem of a specified problem type in the laboratory environment, an alarm operation for the safety problem of the specified problem type is performed.

[0187] The laboratory safety data processing system provided by the embodiment of the present application monitors the environmental features of various feature types in the laboratory environment through multiple laboratory environment monitors, and outputs the environmental monitoring data of various feature types; the laboratory environment data collector collects the above data and sends it to the multi-mode alarm identifier, which can judge whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of various feature types, and output the identification result of the laboratory safety problem. If the identification result indicates that there is a safety problem of a specified problem type in the laboratory environment, an alarm operation for the safety problem of the specified problem type is performed. The system can comprehensively judge whether there is a safety problem of a specified problem type in the laboratory environment in combination with the environmental features of various feature types, improve the accuracy of laboratory safety hazard monitoring and reduce the false alarm rate of laboratory safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0188] Figure 1 This is a schematic diagram of an application scenario of a laboratory safety data processing system provided by the first embodiment of the present application;

[0189] Figure 2 is a flow chart of a laboratory safety data processing method provided in the first embodiment of the present application;

[0190] Figure 3 is a schematic diagram of a laboratory safety data processing device provided in the second embodiment of the present application;

[0191] Figure 4 This is a schematic diagram of an electronic device provided in the third embodiment of the present application. DETAILED DESCRIPTION

[0192] Many specific details are described in the following description to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present application, so the present application is not limited by the specific implementation disclosed below.

[0193] First, in order to enable those skilled in the art to better understand the present application, a laboratory safety data processing system provided in the present application is described in detail below with respect to a specific application scenario of an embodiment.

[0194] Before describing in detail the specific application scenarios of the embodiments of the present application, the background of the solution is first described.

[0195] As we all know, the laboratory buildings of universities and scientific research institutions have many laboratories, such as electric furnace rooms, decontamination rooms, liquid nitrogen storage rooms, hazardous chemicals rooms and sample storage rooms, which are all places with many safety hazards. Therefore, effective monitoring of laboratory safety is of great significance. Existing laboratory safety monitoring methods mainly rely on single laboratory data. For example, the alarm will be triggered when the laboratory smoke data reaches the threshold. If the water vapor concentration reaches the threshold, the alarm will also be triggered, causing a false alarm; or, the alarm will be triggered only after the concentration of laboratory gas leakage reaches the threshold. The alarm time is relatively delayed, which has a great impact on the daily work of the laboratory. Therefore, how to provide a laboratory safety data processing method to improve the accuracy of laboratory safety hazard monitoring and reduce the false alarm rate of laboratory safety hazards is a problem that needs to be solved urgently.

[0196] Based on this, an embodiment of the present application provides a laboratory safety data processing system, including: multiple laboratory environment monitors, a laboratory environment data collector, and a multi-mode alarm identifier; each of the multiple laboratory environment monitors is used to monitor environmental characteristics of a specified characteristic type in the laboratory environment, and output environmental monitoring data of the specified characteristic type; the laboratory environment data collector is used to collect environmental monitoring data of multiple characteristic types output by the multiple laboratory environment monitors, and send the environmental monitoring data of the multiple characteristic types to the multi-mode alarm identifier; the multi-mode alarm identifier is used to determine whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple characteristic types, and output an identification result of the laboratory safety problem. If the identification result indicates that there is a safety problem of a specified problem type in the laboratory environment, an alarm operation for the safety problem of the specified problem type is performed.

[0197] The laboratory safety data processing system provided by the embodiment of the present application monitors the environmental features of various feature types in the laboratory environment through multiple laboratory environment monitors, and outputs the environmental monitoring data of various feature types; the laboratory environment data collector collects the above data and sends it to the multi-mode alarm identifier, which can judge whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of various feature types, and output the identification result of the laboratory safety problem. If the identification result indicates that there is a safety problem of a specified problem type in the laboratory environment, an alarm operation for the safety problem of the specified problem type is performed. The system can comprehensively judge whether there is a safety problem of a specified problem type in the laboratory environment in combination with the environmental features of various feature types, improve the accuracy of laboratory safety hazard monitoring and reduce the false alarm rate of laboratory safety hazards.

[0198] The following combination Figure 1 The application scenarios of the laboratory safety data processing system provided in the embodiments of the present application are described in detail.

[0199] See also Figure 1 , Figure 1 It is a schematic diagram of an application scenario of a laboratory safety data processing system provided by the first embodiment of the present application. In the embodiment of the present application, the laboratory safety data processing system 10 includes multiple laboratory environment monitors 101, a laboratory environment data collector 102, a multi-mode alarm identifier 103 and a laboratory safety data storage device 104; each laboratory environment monitor 101 among the multiple laboratory environment monitors 101 is used to monitor environmental characteristics of a specified characteristic type in the laboratory environment and output environmental monitoring data of the specified characteristic type.

[0200] In specific implementation, the laboratory environment monitor 101 may specifically be a sensor set in the laboratory environment, including: temperature sensor, humidity sensor, living body presence sensor, power safety sensor, smoke monitoring sensor, video number recognition sensor, thermal imaging high temperature monitoring sensor, video fireworks recognition sensor, video instrument pointer recognition sensor, gas concentration monitoring sensor, and gas supply pressure and flow monitoring sensor, etc. Each laboratory environment monitor 101 is used to monitor environmental features of a specified feature type in the laboratory environment and output environmental monitoring data of the specified feature type. For example, the temperature sensor is used to monitor the temperature characteristics in the laboratory environment and output the temperature data in the laboratory environment; the humidity sensor is used to monitor the humidity characteristics in the laboratory environment and output the humidity data in the laboratory environment; the living body presence sensor is used to monitor whether there are living targets in the laboratory environment and output the data on whether there are living targets in the laboratory environment; the power safety sensor is used to monitor whether the power use in the laboratory environment is safe and output the power safety data in the laboratory environment; the smoke monitoring sensor is used to monitor the smoke characteristics in the laboratory environment and output the smoke data; the video number recognition sensor is used to monitor the video image data in the laboratory environment and output the number of living people data in the video image data; the thermal imaging high temperature monitoring sensor is used to monitor the temperature characteristics of the equipment in the laboratory environment and output the temperature data of the equipment; the video fireworks recognition sensor is used to monitor the fireworks characteristics in the laboratory environment and output the fireworks data in the video image; the video instrument pointer recognition sensor is used to monitor the pressure characteristics of the equipment in the laboratory environment and output the pressure data of the equipment; the gas concentration monitoring sensor is used to monitor the gas concentration characteristics in the laboratory environment and output the gas concentration data; the gas supply pressure and flow monitoring sensor is used to monitor the gas pressure characteristics and gas flow characteristics in the laboratory environment and output the gas pressure data and gas flow data.

[0201] After the laboratory environment monitor 101 monitors the environmental features of the specified feature type in the laboratory environment and outputs the environmental monitoring data of the specified feature type, the laboratory environment data collector 102 is used to collect the environmental monitoring data of multiple feature types output by the multiple laboratory environment monitors, and send the environmental monitoring data of the multiple feature types to the multi-mode alarm identifier 103. The multi-mode alarm identifier 103 is used to determine whether there is a security problem of the specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, output the identification result of the laboratory safety problem, and if the identification result indicates that there is a security problem of the specified problem type in the laboratory environment, perform an alarm operation for the security problem of the specified problem type.

[0202] During specific implementation, after the laboratory environment data collector 102 collects the environmental monitoring data of multiple characteristic types output by multiple laboratory environment monitors, it performs classification processing operations on the environmental monitoring data of multiple characteristic types. Specifically, the laboratory environment data collector 102 is also used to: obtain a correspondence table between the characteristic types to which the environmental characteristics in the laboratory environment belong and the problem types to which the safety problems existing in the laboratory environment belong; based on the correspondence table, obtain the problem type corresponding to the characteristic type to which each environmental monitoring data in the environmental monitoring data of the multiple characteristic types belongs; if the problem type corresponding to the characteristic type to which each environmental monitoring data belongs is the specified problem type, then add each environmental monitoring data to the environmental monitoring data set of the specified problem type; the sending of the environmental monitoring data of the multiple characteristic types to the multi-mode alarm identifier 103 includes: sending the environmental monitoring data set of the specified problem type to the multi-mode alarm identifier 103.

[0203] It should be noted that the laboratory environment data collector 102 is also used to obtain a corresponding relationship table between the feature types of the environmental features in the laboratory environment and the problem types of the safety problems in the laboratory environment. The feature types of the environmental features in the laboratory environment may be temperature, humidity, smoke, high temperature, fireworks, instrument pressure, gas concentration, gas supply pressure, gas supply flow, etc., and the problem types of the safety problems in the laboratory environment may be fire, toxic gas leakage, pressure anomaly, etc. The corresponding relationship table lists the corresponding relationship between the feature types of the environmental features in the laboratory environment and the problem types of the safety problems in the laboratory environment. For example, the feature types corresponding to the fire problem include temperature, humidity, smoke, high temperature, fireworks, gas concentration, etc.; the feature types corresponding to the toxic gas leakage include gas concentration, etc.; the feature types corresponding to the pressure anomaly include instrument pressure, gas supply pressure, gas supply flow, etc. Based on the corresponding relationship table, the problem type corresponding to the feature type of each environmental monitoring data in the environmental monitoring data of the multiple feature types can be obtained. For example, when the laboratory environment data collector 102 collects temperature data, the corresponding problem type of the safety problems in the laboratory environment may be fire. If the problem type corresponding to the characteristic type of each environmental monitoring data is the specified problem type, for example, the problem types corresponding to temperature, humidity, smoke, high temperature, fireworks, and gas concentration are all fire, then each environmental monitoring data is added to the environmental monitoring data set of the specified problem type, that is, temperature, humidity, smoke, high temperature, fireworks, and gas concentration are used as the environmental monitoring data set of the fire problem. When the laboratory environmental data collector 102 sends the environmental monitoring data of the multiple characteristic types to the multi-mode alarm identifier 103, it specifically sends the environmental monitoring data set of the specified problem type to the multi-mode alarm identifier 103.

[0204] In specific implementation, the multi-mode alarm identifier 103 determines whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputs the identification result of the laboratory safety problem. First, it is determined that the problem type corresponding to the environmental monitoring data set of the specified problem type is the specified problem type, and then based on the environmental monitoring data in the environmental monitoring data set of the specified problem type, it is determined whether there is a safety problem of the specified problem type in the laboratory environment, and the identification result of the laboratory safety problem is output. For example, the multi-mode alarm identifier 103 determines that the laboratory safety problem type corresponding to temperature, humidity, smoke, high temperature, fireworks, and gas concentration is fire, and then specifically judges whether a fire has occurred in the laboratory environment based on temperature data, humidity data, smoke data, thermal imaging high temperature data, video fireworks data, and gas concentration data, and outputs the identification result of whether a fire has occurred in the laboratory. The laboratory safety data processing system 10 also includes a laboratory safety data storage 104, which is used to classify and store the identification results of whether a fire has occurred in the laboratory.

[0205] The laboratory safety data processing system described in the embodiment of the present application can, on the one hand, perform experimental temperature data correction, and use temperature sensors and thermal imaging high temperature monitoring sensors to compare and analyze the temperature in the laboratory environment and the historical temperature records at the same time point to correct the temperature. On the one hand, it can realize the prevention of false alarms of fireworks alarms, and comprehensively judge whether the type of problems in the laboratory environment is water vapor, smoke or fireworks through the video fireworks recognition sensor, the thermal imaging high temperature data transmitted by the thermal imaging high temperature monitoring sensor, the smoke data transmitted by the smoke monitoring sensor, and the humidity data transmitted by the humidity sensor, so as to avoid the alarm when problems such as water vapor occur, thereby reducing the false alarm rate. On the other hand, it can realize the prevention of false alarms of high-temperature and high-pressure containers, monitor the electricity consumption of the equipment through the electricity safety data transmitted by the electricity safety sensor, obtain thermal imaging high temperature data through the thermal imaging high temperature monitoring sensor, and obtain pressure data through the video instrument pointer recognition sensor. Through the above data, the surface temperature, energy consumption abnormality and pressure abnormality of high-temperature and high-pressure equipment can be comprehensively analyzed, thereby judging the safety risks of the equipment and reducing the false alarm rate. The laboratory safety data processing system improves the accuracy of laboratory safety hazard monitoring and reduces the false alarm rate of laboratory safety hazards.

[0206] In an embodiment of the present application, the environmental monitoring data based on the multiple feature types is used to determine whether there are safety issues of a specified problem type in the laboratory environment, and output the identification results of the laboratory safety issues, including: obtaining a list of identification strategies corresponding to the specified problem type; for any one of the identification strategies in the identification strategy list, obtaining a hit condition for the any one of the identification strategies; obtaining parameters required for the hit condition from the hit condition of the any one of the identification strategies; obtaining an environmental feature type corresponding to the parameters required for the hit condition as the environmental feature type to be matched; obtaining environmental monitoring data corresponding to the environmental feature type to be matched from the environmental monitoring data of the multiple feature types, as the environmental monitoring data to be matched; inputting the environmental monitoring data to be matched into the parameters required for the hit condition of any one of the identification strategies to determine whether the hit condition of any one of the identification strategies is met; obtaining the identification strategy hit result of whether the laboratory environment hits any one of the identification strategies based on the judgment result of whether the hit condition of any one of the identification strategies is met; after obtaining the identification strategy hit result of each identification strategy in the identification strategy list corresponding to the specified problem type, determining whether there is a security problem of the specified problem type in the laboratory environment based on the identification strategy hit results of all the identification strategies in the identification strategy list corresponding to the specified problem type, and outputting the identification result of the laboratory safety problem.

[0207] The method of judging whether there is a security problem of the specified problem type in the laboratory environment based on the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type, and outputting the identification result of the laboratory safety problem, includes: obtaining a decision strategy corresponding to the specified problem type, the decision strategy defining a hit result that all identification strategies in the identification strategy list corresponding to the specified problem type need to satisfy when a target decision condition is satisfied, and the target decision condition is a decision condition for determining whether there is a security problem of the specified problem type in the laboratory environment; judging whether the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type meet the target decision condition based on the hit results that all identification strategies in the identification strategy list corresponding to the specified problem type need to satisfy and the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type; if the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type meet the target decision condition, it is determined that there is a security problem of the specified problem type in the laboratory environment, and outputting the identification result indicating that there is a security problem of the specified problem type in the laboratory environment.

[0208] In specific implementation, when the multi-mode alarm identifier 103 determines whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types and outputs the identification result of the laboratory safety problem, it can first obtain a pre-set identification strategy list corresponding to the specified problem type. The identification strategy table defines multiple strategies. For example, the hit condition for determining that a fire has occurred in the laboratory environment is: the oxygen concentration in the laboratory environment is lower than 19.5 and PM2.5 is greater than 300. According to the hit condition, it can be known that the required parameters are 19.5 and 300, and the corresponding environmental feature types are oxygen and PM2.5, as the environmental feature types to be matched. Then, the multi-mode alarm identifier 103 obtains environmental monitoring data corresponding to the environmental feature type to be matched from the environmental monitoring data of the multiple feature types as the environmental monitoring data to be matched. For example, the environmental monitoring data to be matched is as follows: the oxygen concentration is 25 and the PM2.5 is 250. After judgment, the environmental monitoring data to be matched does not hit the above-mentioned identification strategy. Of course, the above only describes one identification strategy as an example. The identification strategy list includes multiple identification strategies. After obtaining the identification strategy hit result of each identification strategy in the identification strategy list corresponding to the specified problem type, it is necessary to judge whether there is a security problem of the specified problem type in the laboratory environment based on the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type, and finally output the identification result of the laboratory safety problem.

[0209] When judging whether there is a security problem of the specified problem type in the laboratory environment based on the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type, it is first necessary to obtain the decision strategy corresponding to the specified problem type. The decision strategy defines the hit results that all identification strategies in the identification strategy list corresponding to the specified problem type need to meet when the target decision condition is met. The target decision condition is the decision condition used to determine whether there is a security problem of the specified problem type in the laboratory environment. For example, the identification strategies include identification strategy A, identification strategy B, and identification strategy C, and the decision condition for a fire is: identification strategy A hits, identification strategy B hits, and identification strategy C does not hit. If the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the fire problem meet the above decision conditions, it can be determined that a fire has occurred in the laboratory environment, and the multi-mode alarm identifier 103 will output an identification result indicating that there is a fire problem in the laboratory environment.

[0210] In an embodiment of the present application, the environmental monitoring data based on the multiple feature types is used to determine whether there are safety issues of a specified problem type in the laboratory environment, and output an identification result of the laboratory safety problem, including: for any one of the multiple feature types, obtaining an identification strategy corresponding to the any one feature type; obtaining a hit condition of the identification strategy corresponding to the any one feature type from the identification strategy corresponding to the any one feature type, as a hit condition to be identified; inputting the environmental monitoring data of the any one feature type into the parameters required for the hit condition to be identified; determining whether the hit condition to be identified is met; if the hit condition to be identified is met, determining that the environmental monitoring data of the any one feature type hits the identification strategy corresponding to the any one feature type; obtaining risk index data corresponding to the any one feature type; after obtaining the risk index data corresponding to each of the multiple feature types, obtaining total risk index data of the laboratory environment based on the risk index data corresponding to each of the multiple feature types; based on the total risk index data of the laboratory environment, determining whether there are safety issues of a specified problem type in the laboratory environment, and outputting an identification result of the laboratory safety problem.

[0211] In specific implementation, when the multi-mode alarm identifier 103 determines whether there is a security problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, it can also first obtain the identification strategy corresponding to any one of the feature types. For example, taking the feature type as temperature, the identification strategy corresponding to the temperature is obtained as the hit condition to be identified. For example, the hit condition to be identified is that the temperature is greater than 100°C. After the multi-mode alarm identifier 103 obtains the environmental monitoring data, the environmental monitoring data of any one of the feature types is input into the parameters required for the hit condition to be identified, and it is determined whether the hit condition to be identified is met. For example, the input environmental monitoring data is a temperature of 120°C, which is greater than 100°C, proving that the hit condition to be identified is met. Then, the risk index data corresponding to any one of the feature types is obtained. For example, when the temperature is greater than 100°C, the corresponding risk index data is +10 points. Of course, this is only one feature type. After obtaining the risk index data corresponding to each of the multiple feature types, the total risk index data of the laboratory environment can be obtained based on the risk index data corresponding to each of the multiple feature types. Finally, based on the total risk index data of the laboratory environment, it is determined whether there are safety issues of the specified problem type in the laboratory environment, and the identification results of the laboratory safety issues are output.

[0212] In an embodiment of the present application, the multi-mode alarm identifier is also used for: if the identification result indicates that there is no security problem of the specified problem type in the laboratory environment, then obtaining an alarm device alarm policy list, the alarm device alarm policy list records the alarm policies that each alarm device needs to hit to perform an alarm operation; for any alarm device, obtaining the hit condition of the alarm policy of any alarm device from the alarm policy of any alarm device as the hit condition to be identified; obtaining the parameters required for the hit condition to be identified from the hit condition to be identified; obtaining the environmental feature type corresponding to the parameters required for the hit condition to be identified; obtaining environmental monitoring data corresponding to the environmental feature type from the environmental monitoring data of the multiple feature types as the environmental monitoring data to be identified; inputting the environmental monitoring data to be identified into the parameters required for the hit condition to be identified; judging whether the hit condition to be identified is met; if it is determined that the hit condition to be identified is met, obtaining the alarm policy hit identification result of the alarm policy that any alarm device needs to hit to perform an alarm operation in the laboratory environment; and sending an instruction to indicate prohibition of alarm to any alarm device according to the alarm policy hit identification result.

[0213] In specific implementation, if the identification result indicates that there is no security problem of the specified problem type in the laboratory environment, then the alarm device alarm strategy list is obtained, and the alarm device alarm strategy list records the alarm strategy that each alarm device needs to hit to perform the alarm operation. It is also necessary to obtain the hit condition of the alarm device and the parameters required for the hit condition from the alarm strategy, input the environmental monitoring data to be identified into the parameters required for the hit condition to be identified, and determine whether the hit condition to be identified is met. If it is determined that the hit condition to be identified is met, obtain the identification result of the alarm strategy hit, and instruct the alarm device to prohibit the alarm according to the alarm strategy hit identification result.

[0214] In an embodiment of the present application, the environmental monitoring data based on the multiple feature types is used to determine whether there are safety issues of the specified problem type in the laboratory environment, and output the identification results of the laboratory safety issues, including: inputting the environmental monitoring data of the multiple feature types into a preset decision tree model, determining whether there are safety issues of the specified problem type in the laboratory environment, and outputting the identification results of the laboratory safety issues. The decision tree model is trained in the following manner: obtaining sample data, the sample data including multiple types of environmental monitoring data samples and actual recognition result samples of whether there are security issues of specified problem types in a laboratory environment; using at least one type of data sample in each of the multiple types of environmental monitoring data samples and actual recognition result samples of whether there are security issues of specified problem types in each laboratory environment as a group of training sample pairs, the training sample pairs being used to train the decision tree model; obtaining an initial decision tree model; inputting at least one type of data sample in each of the multiple types of environmental monitoring data samples into the initial decision tree model to obtain an initial recognition result of whether there are security issues of specified problem types in the laboratory environment; if the initial recognition result is consistent with the actual recognition result, using the initial decision tree model as the decision tree model, otherwise, adjusting the model parameters in the initial decision tree model until the recognition result obtained by the decision tree model after adjusting the model parameters is consistent with the actual recognition result sample, and determining the decision tree model after adjusting the parameters as the decision tree model.

[0215] The multi-mode alarm identifier uses a decision tree algorithm, which constructs features by collecting data from multiple sensors in real time. The algorithm recursively selects the optimal features to segment the data, and finally forms a tree-like structure. The leaf nodes represent the final output category or numerical prediction, that is, whether the alarm condition is met. The decision tree has a clear structure and is easy to understand and debug. The order and logic of each condition judgment are obvious. It is suitable for multi-condition and deep-level rule matching, and can gradually eliminate situations that do not meet the conditions through hierarchical branches.

[0216] The decision tree algorithm is used to detect whether the laboratory environment is in a dangerous state and trigger an alarm under certain conditions. The system's task is to automatically determine whether there are safety hazards based on different environmental combinations. Take temperature data, humidity data, oxygen concentration data, PM2.5 data, and CO2 concentration data as examples, refer to the following table:

[0217]

[0218] When using decision tree classification to trigger an alarm, the data must first be preprocessed and the sensor data (such as temperature, humidity, oxygen concentration, etc.) must be standardized so that the decision tree can better identify the data for data processing. The target variable Alarm is classified into two categories (1 for danger and 0 for safety). When training the model, the decision tree training data set is used to determine whether there is danger in the laboratory environment based on the combination of environmental data. When the decision tree determines that the combination of environmental data belongs to the dangerous category, the system can automatically trigger an alarm. The decision tree can determine whether there are safety hazards in the laboratory based on the data of environmental sensors (such as temperature, humidity, PM2.5, CO2, etc.), and automatically trigger an alarm when a dangerous combination is found. In this way, the laboratory safety alarm system can respond to dangerous environments in a timely manner and help staff take preventive measures or evacuate.

[0219] In an embodiment of the present application, the environmental monitoring data based on the multiple feature types is used to determine whether there is a safety problem of a specified problem type in the laboratory environment, and output an identification result of the laboratory safety problem, including: inputting the environmental monitoring data of the multiple feature types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether there is a safety problem of a specified problem type in the laboratory environment, as a first prediction result of the safety problem; if the first prediction result of the safety problem indicates that there is no safety problem of the specified problem type in the laboratory environment, and indicates that there is abnormal environmental monitoring data, then outputting an identification result indicating that there is no safety problem of the specified problem type in the laboratory environment; the multi-mode alarm identifier 103 is also used to: obtain operating status data of all equipment in the laboratory environment; input the environmental monitoring data of the multiple feature types and the operating status data of all equipment in the laboratory environment into an abnormal location prediction model, and obtain a first abnormal location prediction result output by the abnormal location prediction model to indicate whether the abnormal location that caused the abnormal environmental monitoring data to be generated is located in the laboratory environment; if the first abnormal location prediction result indicates that the abnormal location is not located in the laboratory environment, then obtaining the laboratory output by the environment monitor outside the laboratory The external environment monitoring data of the laboratory, wherein the external environment monitor of the laboratory is an environment monitor located outside the laboratory environment and the distance between the external environment monitor and the laboratory environment is within a preset distance range; the external environment monitoring data of the laboratory is input into the abnormal position prediction model to obtain the abnormal position second prediction result output by the abnormal position prediction model to indicate whether the abnormal position causing the abnormal environment monitoring data is located outside the laboratory environment; if the second abnormal position prediction result indicates that the abnormal position is located outside the laboratory environment, the environmental monitoring data of the multiple characteristic types, the external environment monitoring data of the laboratory, the distance data between the external environment monitor of the laboratory and the laboratory environment, the abnormal position first label data indicating that the abnormal position is located outside the laboratory environment, and the future time period data to be evaluated are input into the safety problem prediction model to obtain the second prediction result output by the safety problem prediction model to indicate whether there is a safety problem of at least one problem type in the laboratory environment in the future time period as the second safety problem prediction result; if the second safety problem prediction result indicates that there is a safety problem of at least one problem type in the laboratory environment in the future time period, an alarm operation is performed for the safety problem of at least one problem type in the laboratory environment in the future time period.

[0220] It should be noted that when the multi-mode alarm identifier 103 determines whether there is a security problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple characteristic types, there may be a result output by the security problem prediction model indicating that there is no security problem of the specified problem type in the laboratory environment, but indicating that there is abnormal environmental monitoring data in the laboratory environment. At this time, the multi-mode alarm identifier 103 also needs to obtain the operating status data of all devices in the laboratory environment, and determine whether the abnormal location is in the laboratory environment or outside the laboratory environment, such as the laboratory corridor or the laboratory on other floors, based on the environmental monitoring data of the multiple characteristic types and the operating status data of all devices. If the abnormal location is outside the laboratory, then the environmental monitoring data of the multiple characteristic types, the external laboratory environmental monitoring data, the distance data between the external laboratory environmental monitor and the laboratory environment, the abnormal location first label data indicating that the abnormal location is located outside the laboratory environment, and the future time period data to be evaluated are combined to determine whether a security problem will occur in the laboratory environment in the future time period. If so, an alarm prompt is issued to the laboratory environment. For example, a voice broadcast can be used to indicate that a fire will occur in the laboratory in the future time period, so that prevention can be carried out in advance before the fire problem occurs.

[0221] In specific implementation, the multi-mode alarm identifier 103 is also used to: if the first prediction result of the abnormal location indicates that the abnormal location is located in a laboratory environment, then the environmental monitoring data of the multiple characteristic types, the abnormal location second label data used to indicate that the abnormal location is located in the laboratory environment, and the future time period data to be evaluated are input into the security problem prediction model, and the third prediction result output by the security problem prediction model to indicate whether there is a security problem of a specified problem type in the laboratory environment in the future time period is obtained as the third prediction result of the security problem; if the third prediction result of the security problem indicates that there is a security problem of a specified problem type in the laboratory environment in the future time period, then an alarm operation for the security problem of the specified problem type is performed. It should be noted that if the abnormal location is in a laboratory environment, the environmental monitoring data of the multiple characteristic types, the abnormal location second label data used to indicate that the abnormal location is located in the laboratory environment, and the future time period data to be evaluated are combined to determine whether a security problem will occur in the laboratory environment in the future time period, and if so, an alarm prompt is issued to the laboratory environment.

[0222] In an embodiment of the present application, the environmental monitoring data based on the multiple feature types is used to determine whether there are safety issues of a specified problem type in the laboratory environment, and output an identification result of the laboratory safety problem, including: inputting the environmental monitoring data of the multiple feature types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether there are safety issues of a specified problem type in the laboratory environment, as a first prediction result of the safety problem; if the first prediction result of the safety problem indicates that there are no safety issues of the specified problem type in the laboratory environment, and indicates that there are abnormal environmental monitoring data, then outputting an identification result indicating that there are no safety issues of the specified problem type in the laboratory environment; the multi-mode alarm identifier 103 is also used to: obtain a list of experimental tasks to be performed in the laboratory environment within a future time period to be evaluated, as a list of experiments to be performed Task list; for any experimental task in the list of experimental tasks to be executed, obtain the security policy required for executing any one of the experimental tasks; input the security policy required for any one of the experimental tasks and the abnormal environmental monitoring data into the security environment prediction model, and obtain the first security environment prediction result output by the security environment prediction model to indicate whether the laboratory environment meets the security execution environment required for any one of the experimental tasks; if the first security environment prediction result indicates that the laboratory environment does not meet the security execution environment required for any one of the experimental tasks, determine that there is a security problem in executing any one of the experimental tasks in the laboratory environment, and output an identification result indicating that there is a security problem in executing any one of the experimental tasks in the laboratory environment; perform an alarm operation for the security problem in executing any one of the experimental tasks in the laboratory environment.

[0223] It should be noted that when the multi-mode alarm identifier 103 determines whether there is a security problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple characteristic types, the result of the output of the security problem prediction model may indicate that there is no security problem of the specified problem type in the laboratory environment, but indicates that there is abnormal environmental monitoring data in the laboratory environment. At this time, the multi-mode alarm identifier 103 also needs to obtain a list of experimental tasks that need to be performed in the laboratory environment in the future period to be evaluated, and obtain the security strategy required for the experimental task according to the experimental task. According to the security strategy required for the experimental task and the abnormal environmental monitoring data, it is determined whether the laboratory environment meets the requirements of the experimental task. If not, an alarm prompt is also required. For example, the experiment that needs to be operated in the laboratory in the future period has certain requirements for humidity. Although there is no safety problem in the laboratory environment, the water vapor concentration in the current environment is relatively large, and the humidity data cannot meet the humidity data required for the experimental task in the future period. At this time, an alarm prompt is also required so that the experimenter can make reasonable arrangements in advance.

[0224] In an embodiment of the present application, the environmental monitoring data based on the multiple feature types is used to determine whether there is a security problem of a specified problem type in the laboratory environment, and output an identification result of the laboratory safety problem, including: inputting the environmental monitoring data of the multiple feature types into a security problem prediction model, obtaining a first prediction result output by the security problem prediction model to indicate whether there is a security problem of a specified problem type in the laboratory environment, as a first prediction result of the security problem; if the first prediction result of the security problem indicates that there is no security problem of the specified problem type in the laboratory environment, and indicates that there is abnormal environmental monitoring data, then outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment; the multi-mode alarm identifier 103 is also used to: obtain a list of safety policies for experimental equipment in the laboratory environment table; obtain the security policy of any experimental device in the list of experimental equipment security environments in the laboratory environment; input the security policy of any one of the experimental devices and the abnormal environmental monitoring data into the security environment prediction model, and obtain the second security environment prediction result output by the security environment prediction model to indicate whether the laboratory environment satisfies the security operating environment required by any one of the experimental devices; if the second security environment prediction result indicates that the laboratory environment does not satisfy the security operating environment required by any one of the experimental devices, it is determined that there is a security problem in running any one of the experimental devices in the laboratory environment, and an identification result indicating that there is a security problem in running any one of the experimental devices in the laboratory environment is output; and an alarm operation is performed for the security problem in running the one of the experimental devices in the laboratory environment.

[0225] It should be noted that, when the multi-mode alarm identifier 103 determines whether there is a security problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, the result of the security problem prediction model output may indicate that there is no security problem of the specified problem type in the laboratory environment, but indicates that there are abnormal environmental monitoring data in the laboratory environment. At this time, the multi-mode alarm identifier 103 also needs to obtain a list of safety policies for experimental equipment in the laboratory environment, and determine whether the laboratory environment meets the safe operating environment required by any of the experimental equipment based on the security policy of any of the experimental equipment and the abnormal environmental monitoring data. If not, it proves that there will be safety problems in running the experimental equipment in the laboratory environment, and an alarm prompts.

[0226] In an embodiment of the present application, the environmental monitoring data based on the multiple feature types is used to determine whether there is a security problem of a specified problem type in the laboratory environment, and output an identification result of the laboratory safety problem, including: inputting the environmental monitoring data of the multiple feature types into a security problem prediction model, obtaining a first prediction result output by the security problem prediction model to indicate whether there is a security problem of a specified problem type in the laboratory environment, as a first prediction result of the security problem; if the first prediction result of the security problem indicates that there is no security problem of the specified problem type in the laboratory environment, and indicates that there is abnormal environmental monitoring data, then outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment; the multi-mode alarm identifier 103 is also used to: send a behavior subject security monitoring data acquisition request message to the laboratory environment data collector for requesting to obtain the behavior subject security monitoring data of the behavior subject feature type, wherein the behavior subject is the behavior subject performing the experimental task in the laboratory environment; obtaining the laboratory environment data collector for the The subject security monitoring data is obtained by the request message for obtaining the subject security monitoring data; the subject security monitoring data is input into the subject location detection model to obtain the subject location detection result output by the subject location detection model to indicate whether the subject is located in the laboratory environment; if the subject location detection result indicates that the subject is located in the laboratory environment, then obtain the subject security policy for indicating the security conditions that the subject needs to meet to perform the experimental task in the laboratory environment; the subject security policy, the subject location label data indicating that the subject is located in the laboratory environment, and the abnormal environmental monitoring data are input into the security problem prediction model to obtain the fourth security problem detection result output by the security problem prediction model to indicate whether the subject located in the laboratory environment has a security problem; if the fourth security problem detection result indicates that the subject located in the laboratory environment has a security problem, then perform an alarm operation for the security problem existing in the laboratory environment.

[0227] It should be noted that when the multi-mode alarm identifier 103 determines whether there is a security problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, there may be a result output by the security problem prediction model indicating that there is no security problem of the specified problem type in the laboratory environment, but indicating that there is abnormal environmental monitoring data in the laboratory environment. At this time, the multi-mode alarm identifier 103 also needs to send a subject security monitoring data acquisition request message for requesting to obtain the subject security monitoring data of the subject feature type to the laboratory environment data collector 102. The multi-mode alarm identifier 103 obtains the subject security monitoring data, and determines whether the subject is located in the laboratory environment according to the subject security monitoring data. If so, the multi-mode alarm identifier 103 also needs to obtain the subject security policy of the security conditions that the subject needs to meet in performing the experimental task in the laboratory environment, that is, the conditions that can meet the experimental personnel's safe experimental operation. Then, the subject security policy, the subject location tag data used to indicate that the subject is located in the laboratory environment, and the abnormal environmental monitoring data are combined to determine whether there is a security problem in the subject in the laboratory environment. If so, an alarm prompt is also required to ensure the safety of the experimental personnel.

[0228] The above is a full process analysis of the laboratory safety data processing system, which includes: multiple laboratory environment monitors, laboratory environment data collectors, and multi-mode alarm identifiers; each of the multiple laboratory environment monitors is used to monitor environmental characteristics of a specified characteristic type in the laboratory environment, and output environmental monitoring data of the specified characteristic type; the laboratory environment data collector is used to collect environmental monitoring data of multiple characteristic types output by the multiple laboratory environment monitors, and send the environmental monitoring data of the multiple characteristic types to the multi-mode alarm identifier; the multi-mode alarm identifier is used to determine whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple characteristic types, and output the identification result of the laboratory safety problem. If the identification result indicates that there is a safety problem of a specified problem type in the laboratory environment, an alarm operation for the safety problem of the specified problem type is performed.

[0229] The laboratory safety data processing system provided by the embodiment of the present application monitors the environmental features of various feature types in the laboratory environment through multiple laboratory environment monitors, and outputs the environmental monitoring data of various feature types; the laboratory environment data collector collects the above data and sends it to the multi-mode alarm identifier, which can judge whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of various feature types, and output the identification result of the laboratory safety problem. If the identification result indicates that there is a safety problem of a specified problem type in the laboratory environment, an alarm operation for the safety problem of the specified problem type is performed. The system can comprehensively judge whether there is a safety problem of a specified problem type in the laboratory environment in combination with the environmental features of various feature types, improve the accuracy of laboratory safety hazard monitoring and reduce the false alarm rate of laboratory safety hazards.

[0230] The present application is described below through a number of embodiments and drawings.

[0231] First embodiment

[0232] The first embodiment of the present application provides a laboratory safety data processing method. Figure 2 The laboratory safety data processing method is explained.

[0233] Step S201: Obtain environmental monitoring data of multiple feature types.

[0234] Step S202: Based on the environmental monitoring data of the multiple feature types, determine whether there are safety issues of the specified problem type in the laboratory environment, and output the identification result of the laboratory safety problem. If the identification result indicates that there are safety issues of the specified problem type in the laboratory environment, perform an alarm operation for the safety issue of the specified problem type.

[0235] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0236] Determine that the problem type corresponding to the environmental monitoring data set of the specified problem type is the specified problem type;

[0237] Based on the environmental monitoring data in the environmental monitoring data set of the specified problem type, determine whether there is a safety problem of the specified problem type in the laboratory environment, and output an identification result of the laboratory safety problem;

[0238] The environmental monitoring data set of the specified problem type is obtained in the following manner:

[0239] Obtain a correspondence table between feature types to which environmental features in the laboratory environment belong and problem types to which security problems existing in the laboratory environment belong;

[0240] Based on the correspondence table, obtaining the problem type corresponding to the characteristic type of each environmental monitoring data in the environmental monitoring data of the multiple characteristic types;

[0241] If the problem type corresponding to the feature type to which each environmental monitoring data belongs is the specified problem type, each environmental monitoring data is added to the environmental monitoring data set of the specified problem type.

[0242] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0243] Obtain a list of identification strategies corresponding to the specified problem type;

[0244] For any one of the identification strategies in the identification strategy list, obtaining a hit condition of the any one of the identification strategies from the any one of the identification strategies;

[0245] Obtaining parameters required for the hit condition from the hit condition of any one of the identification strategies;

[0246] Obtaining the environment feature type corresponding to the parameters required by the hit condition as the environment feature type to be matched;

[0247] Obtaining environmental monitoring data corresponding to the to-be-matched environmental feature type from the environmental monitoring data of the multiple feature types as the to-be-matched environmental monitoring data;

[0248] Inputting the to-be-matched environmental monitoring data into the parameters required for the hit condition of any one of the identification strategies, and determining whether the hit condition of any one of the identification strategies is met;

[0249] According to the judgment result of whether the hit condition of any identification strategy is met, obtaining the identification strategy hit result of whether the laboratory environment hits any identification strategy;

[0250] After obtaining the identification strategy hit results of each identification strategy in the identification strategy list corresponding to the specified problem type, determine whether there is a security problem of the specified problem type in the laboratory environment based on the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type, and output the identification results of the laboratory safety problem.

[0251] Optionally, judging whether there is a security problem of the specified problem type in the laboratory environment based on the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type, and outputting the identification result of the laboratory safety problem, includes:

[0252] Obtaining a decision strategy corresponding to the specified problem type, wherein the decision strategy defines a hit result that needs to be satisfied by all identification strategies in the identification strategy list corresponding to the specified problem type when a target decision condition is met, wherein the target decision condition is a decision condition for determining that a security problem of the specified problem type exists in a laboratory environment;

[0253] According to the hit results that need to be satisfied by all the recognition strategies in the recognition strategy list corresponding to the specified question type and the recognition strategy hit results of all the recognition strategies in the recognition strategy list corresponding to the specified question type, it is judged whether the recognition strategy hit results of all the recognition strategies in the recognition strategy list corresponding to the specified question type meet the target decision condition;

[0254] If the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type meet the target decision condition, it is determined that a security problem of the specified problem type exists in the laboratory environment, and an identification result indicating that a security problem of the specified problem type exists in the laboratory environment is output.

[0255] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0256] For any one of the multiple feature types, obtaining an identification strategy corresponding to the any one of the feature types;

[0257] Obtaining a hit condition of the identification strategy corresponding to any one of the feature types from the identification strategy corresponding to any one of the feature types as the hit condition to be identified;

[0258] Inputting the environmental monitoring data of any one of the characteristic types into the parameters required for the hit condition to be identified;

[0259] Determine whether the hit condition to be identified is met;

[0260] If the hit condition to be identified is met, determining that the environmental monitoring data of any one of the feature types hits the identification strategy corresponding to any one of the feature types;

[0261] Obtain risk index data corresponding to any one of the feature types;

[0262] After obtaining the risk index data corresponding to each of the plurality of feature types, obtaining the total risk index data of the laboratory environment based on the risk index data corresponding to each of the plurality of feature types;

[0263] Based on the total risk index data of the laboratory environment, determine whether there are safety issues of a specified problem type in the laboratory environment, and output identification results of the laboratory safety issues.

[0264] Optionally, also include:

[0265] If the identification result indicates that there is no security problem of the specified problem type in the laboratory environment, then obtaining an alarm device alarm strategy list, wherein the alarm device alarm strategy list records the alarm strategies that each alarm device needs to hit to perform an alarm operation;

[0266] For any alarm device, obtaining a hit condition of the alarm policy of the any alarm device from the alarm policy of the any alarm device as a hit condition to be identified;

[0267] Obtaining parameters required for the hit condition to be identified from the hit condition to be identified;

[0268] Obtaining the environmental feature type corresponding to the parameters required for the hit condition to be identified;

[0269] Obtaining environmental monitoring data corresponding to the environmental feature type from the environmental monitoring data of the multiple feature types as environmental monitoring data to be identified;

[0270] Inputting the environmental monitoring data to be identified into the parameters required by the hit condition to be identified;

[0271] Determine whether the hit condition to be identified is met;

[0272] If it is determined that the hit condition to be identified is met, then obtaining an alarm strategy hit identification result of the alarm strategy required to be hit by any alarm device in the laboratory environment to perform an alarm operation;

[0273] According to the alarm strategy hit identification result, an instruction for instructing to prohibit the alarm is sent to any one of the alarm devices.

[0274] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0275] The environmental monitoring data of the multiple characteristic types are input into a preset decision tree model to determine whether there are safety issues of the specified problem type in the laboratory environment, and output the identification results of the laboratory safety issues.

[0276] Optionally, the decision tree model is trained in the following manner:

[0277] Acquire sample data, the sample data including multiple types of environmental monitoring data samples and actual identification result samples of whether there are security issues of a specified problem type in a laboratory environment;

[0278] taking at least one type of data sample among each of the multiple types of environmental monitoring data samples and actual identification result samples of whether there is a safety problem of a specified problem type in each laboratory environment as a set of training sample pairs, wherein the training sample pairs are used to train the decision tree model;

[0279] Obtain an initial decision tree model;

[0280] Inputting at least one type of data sample from each of the multiple types of environmental monitoring data samples into the initial decision tree model to obtain an initial identification result of whether there is a safety problem of a specified problem type in the laboratory environment;

[0281] If the initial recognition result is consistent with the actual recognition result, the initial decision tree model is used as the decision tree model; otherwise, the model parameters in the initial decision tree model are adjusted until the recognition result obtained by the decision tree model after adjusting the model parameters is consistent with the actual recognition result sample, and the decision tree model after adjusting the parameters is determined as the decision tree model.

[0282] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0283] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0284] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0285] The method further comprises:

[0286] Obtain operating status data of all equipment in the laboratory environment;

[0287] Inputting the environmental monitoring data of the plurality of characteristic types and the operating status data of all equipment in the laboratory environment into an abnormal location prediction model, obtaining a first abnormal location prediction result output by the abnormal location prediction model to indicate whether the abnormal location causing the abnormal environmental monitoring data is located in the laboratory environment;

[0288] If the first prediction result of the abnormal position indicates that the abnormal position is not located in the laboratory environment, obtaining the out-of-laboratory environment monitoring data output by the out-of-laboratory environment monitor, wherein the out-of-laboratory environment monitor is an environment monitor located outside the laboratory environment and within a preset distance range from the laboratory environment;

[0289] Inputting the out-of-laboratory environment monitoring data into the abnormal position prediction model, obtaining an abnormal position second prediction result output by the abnormal position prediction model, which indicates whether the abnormal position causing the abnormal environment monitoring data is located outside the laboratory environment;

[0290] If the second prediction result of the abnormal location indicates that the abnormal location is located outside the laboratory environment, the environmental monitoring data of the multiple feature types, the external laboratory environment monitoring data, the distance data between the external laboratory environment monitor and the laboratory environment, the abnormal location first label data indicating that the abnormal location is located outside the laboratory environment, and the future time period data to be evaluated are input into the security problem prediction model to obtain a second prediction result output by the security problem prediction model indicating whether there is a security problem of at least one problem type in the laboratory environment in the future time period as the second security problem prediction result;

[0291] If the second prediction result of the security problem indicates that there is a security problem of at least one type of problem in the laboratory environment in the future period, an alarm operation is performed for the security problem of at least one type of problem in the laboratory environment in the future period.

[0292] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0293] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0294] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0295] The method further comprises:

[0296] Obtaining a list of experimental tasks that need to be performed in a laboratory environment within a future period to be evaluated as a list of experimental tasks to be performed;

[0297] For any experimental task in the list of experimental tasks to be executed, obtaining a security policy required for executing any experimental task;

[0298] Inputting the security policy required for any one of the experimental tasks and the abnormal environmental monitoring data into the security environment prediction model, obtaining a first security environment prediction result output by the security environment prediction model to indicate whether the laboratory environment meets the security execution environment required for any one of the experimental tasks;

[0299] If the first security environment prediction result indicates that the laboratory environment does not meet the security execution environment required by any one of the experimental tasks, it is determined that there is a security problem in executing any one of the experimental tasks in the laboratory environment, and an identification result indicating that there is a security problem in executing any one of the experimental tasks in the laboratory environment is output;

[0300] Perform an alarm operation for security issues that exist in executing any of the experimental tasks in a laboratory environment.

[0301] Optionally, also include:

[0302] If the first prediction result of the abnormal location indicates that the abnormal location is located in a laboratory environment, the environmental monitoring data of the multiple feature types, the abnormal location second label data indicating that the abnormal location is located in a laboratory environment, and the future time period data to be evaluated are input into the security problem prediction model, and a third prediction result output by the security problem prediction model indicating whether there is a security problem of a specified problem type in the laboratory environment in the future time period is obtained as the third security problem prediction result;

[0303] If the third prediction result of the security problem indicates that there will be a security problem of a specified problem type in the laboratory environment in a future period of time, an alarm operation for the security problem of the specified problem type is performed.

[0304] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0305] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0306] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0307] The method further comprises:

[0308] Obtain a list of security policies for lab equipment in a lab environment;

[0309] Obtain the security policy of any experimental device in the experimental device security environment list in the laboratory environment;

[0310] Inputting the security policy of any one of the experimental devices and the abnormal environmental monitoring data into the security environment prediction model, obtaining a second security environment prediction result output by the security environment prediction model to indicate whether the laboratory environment meets the security operating environment required by any one of the experimental devices;

[0311] If the second prediction result of the safety environment indicates that the laboratory environment does not meet the safety operation environment required by any one of the experimental devices, it is determined that there is a safety problem in running any one of the experimental devices in the laboratory environment, and an identification result indicating that there is a safety problem in running any one of the experimental devices in the laboratory environment is output;

[0312] An alarm operation is performed for a safety problem in running the experimental device in a laboratory environment.

[0313] Optionally, judging whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and outputting an identification result of the laboratory safety problem, includes:

[0314] Inputting the environmental monitoring data of the plurality of characteristic types into a safety problem prediction model, obtaining a first prediction result output by the safety problem prediction model to indicate whether a safety problem of a specified problem type exists in a laboratory environment, as a first safety problem prediction result;

[0315] If the first security problem prediction result indicates that there is no security problem of the specified problem type in the laboratory environment and indicates that there is abnormal environmental monitoring data, outputting an identification result indicating that there is no security problem of the specified problem type in the laboratory environment;

[0316] The method further comprises:

[0317] Sending a behavior subject safety monitoring data acquisition request message for requesting to acquire behavior subject safety monitoring data of a behavior subject feature type to the laboratory environment data collector, wherein the behavior subject is a behavior subject that performs an experimental task in the laboratory environment;

[0318] Obtain the subject safety monitoring data returned by the laboratory environment data collector in response to the subject safety monitoring data acquisition request message;

[0319] Inputting the subject safety monitoring data into a subject location detection model to obtain a subject location detection result output by the subject location detection model to indicate whether the subject is located in a laboratory environment;

[0320] If the subject location detection result indicates that the subject is located in a laboratory environment, obtaining a subject security policy for indicating security conditions that the subject needs to meet in performing an experimental task in the laboratory environment;

[0321] Inputting the subject security policy, subject location tag data indicating that the subject is located in a laboratory environment, and abnormal environmental monitoring data into the security problem prediction model, and obtaining a fourth security problem detection result output by the security problem prediction model indicating whether the subject located in the laboratory environment has a security problem;

[0322] If the fourth security problem detection result indicates that the behavior subject located in the laboratory environment has a security problem, an alarm operation for the security problem existing in the behavior subject located in the laboratory environment is performed.

[0323] The laboratory safety data processing method described in the embodiment of the present application includes: obtaining environmental monitoring data of multiple feature types; based on the environmental monitoring data of the multiple feature types, judging whether there are safety issues of a specified problem type in the laboratory environment, outputting the identification result of the laboratory safety problem, and if the identification result indicates that there are safety issues of a specified problem type in the laboratory environment, performing an alarm operation for the safety issue of the specified problem type. The method can comprehensively judge whether there are safety issues of a specified problem type in the laboratory environment in combination with the environmental characteristics of multiple feature types, thereby improving the accuracy of laboratory safety hazard monitoring and reducing the false alarm rate of laboratory safety hazards.

[0324] Second embodiment

[0325] In the above-mentioned first embodiment, a laboratory safety data processing method is provided. Correspondingly, the second embodiment of the present application provides a laboratory safety data processing device. Since the device embodiment is basically similar to the first method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described below is only illustrative.

[0326] Please refer to Figure 3 , is a schematic diagram of a laboratory safety data processing device provided in the second embodiment of the present application.

[0327] The laboratory safety data processing device includes:

[0328] Laboratory safety data processing 301, used to obtain environmental monitoring data of various characteristic types;

[0329] The safety problem judgment unit 302 is used to judge whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and output the identification result of the laboratory safety problem. If the identification result indicates that there is a safety problem of a specified problem type in the laboratory environment, an alarm operation for the safety problem of the specified problem type is performed.

[0330] Fourth embodiment

[0331] Corresponding to the above method embodiment of the present application, the fourth embodiment of the present application further provides an electronic device. Figure 4 As shown, Figure 4 This is a schematic diagram of an electronic device provided in the fourth embodiment of the present application. The electronic device includes: at least one processor 401, at least one communication interface 402, at least one memory 403 and at least one communication bus 404; optionally, the communication interface 402 can be an interface of a communication module, such as an interface of a GSM module; the processor 401 may be a processor CPU, or an application specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement an embodiment of the present invention. The memory 403 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage. Among them, the memory 403 stores a program, and the processor 401 calls the program stored in the memory 403 to execute the method provided in the above embodiment of the present application.

[0332] Fifth embodiment

[0333] Corresponding to the above method of the present application, the fifth embodiment of the present application further provides a computer storage medium. The computer storage medium stores a computer program, which is executed by a processor to execute the method provided in the above embodiment of the present application.

[0334] Although the present application is disclosed as above in the form of a preferred embodiment, it is not intended to limit the present application. Any technical personnel in this field may make possible changes and modifications without departing from the spirit and scope of the present application. Therefore, the scope of protection of the present application shall be based on the scope defined by the claims of the present application.

[0335] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0336] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0337] 1. Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be used to store information by any method or technology. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include non-transitory media such as modulated data signals and carrier waves.

[0338] 2. Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0339] It should be noted that the embodiments of the present application may involve the use of user data. In actual applications, user-specific personal data can be used in the scheme described herein within the scope permitted by applicable laws and regulations, subject to the requirements of applicable laws and regulations of the country where the user is located (for example, with the user's explicit consent, effective notification to the user, etc.).

[0340] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

Claims

1. A laboratory safety data processing system, characterized in that: include: Multiple laboratory environment monitors, laboratory environment data collectors, and multi-mode alarm identifiers; Each of the plurality of laboratory environment monitors is used to monitor environmental characteristics of a specified characteristic type in the laboratory environment and output environmental monitoring data of the specified characteristic type; The laboratory environment data collector is used to collect the environmental monitoring data of multiple characteristic types output by the multiple laboratory environment monitors, and send the environmental monitoring data of multiple characteristic types to the multi-mode alarm identifier; The multi-mode alarm identifier is used to determine whether there are safety issues of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and output the identification result of the laboratory safety problem. If the identification result indicates that there are safety issues of a specified problem type in the laboratory environment, an alarm operation for the safety issue of the specified problem type is performed.

2. The laboratory safety data processing system according to claim 1, characterized in that: The laboratory environment data collector is also used for: Obtain a correspondence table between feature types to which environmental features in the laboratory environment belong and problem types to which security problems existing in the laboratory environment belong; Based on the correspondence table, obtaining the problem type corresponding to the characteristic type of each environmental monitoring data in the environmental monitoring data of the multiple characteristic types; If the problem type corresponding to the feature type to which each environmental monitoring data belongs is the specified problem type, then each environmental monitoring data is added to the environmental monitoring data set of the specified problem type; The sending of the environmental monitoring data of the multiple characteristic types to the multi-mode alarm identifier comprises: sending the environmental monitoring data set of the specified problem type to the multi-mode alarm identifier; The environmental monitoring data based on the multiple feature types, judging whether there are safety issues of a specified problem type in the laboratory environment, and outputting identification results of the laboratory safety issues, include: determining that the problem type corresponding to the environmental monitoring data set of the specified problem type is the specified problem type; judging whether there are safety issues of the specified problem type in the laboratory environment based on the environmental monitoring data in the environmental monitoring data set of the specified problem type, and outputting identification results of the laboratory safety issues.

3. The laboratory safety data processing system according to claim 1, characterized in that: The determining whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types and outputting the identification result of the laboratory safety problem includes: Obtain a list of identification strategies corresponding to the specified problem type; For any one of the identification strategies in the identification strategy list, obtaining a hit condition of the any one of the identification strategies from the any one of the identification strategies; Obtaining parameters required for the hit condition from the hit condition of any one of the identification strategies; Obtaining the environment feature type corresponding to the parameters required by the hit condition as the environment feature type to be matched; Obtaining environmental monitoring data corresponding to the to-be-matched environmental feature type from the environmental monitoring data of the multiple feature types as the to-be-matched environmental monitoring data; Inputting the to-be-matched environmental monitoring data into the parameters required for the hit condition of any one of the identification strategies, and determining whether the hit condition of any one of the identification strategies is met; According to the judgment result of whether the hit condition of any identification strategy is met, obtaining the identification strategy hit result of whether the laboratory environment hits any identification strategy; After obtaining the identification strategy hit results of each identification strategy in the identification strategy list corresponding to the specified problem type, determine whether there is a security problem of the specified problem type in the laboratory environment based on the identification strategy hit results of all identification strategies in the identification strategy list corresponding to the specified problem type, and output the identification results of the laboratory safety problem.

4. The laboratory safety data processing system according to claim 1, characterized in that: The determining whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types and outputting the identification result of the laboratory safety problem includes: For any one of the multiple feature types, obtaining an identification strategy corresponding to the any one of the feature types; Obtaining a hit condition of the identification strategy corresponding to any one of the feature types from the identification strategy corresponding to any one of the feature types as the hit condition to be identified; Inputting the environmental monitoring data of any one of the characteristic types into the parameters required for the hit condition to be identified; Determine whether the hit condition to be identified is met; If the hit condition to be identified is met, determining that the environmental monitoring data of any one of the feature types hits the identification strategy corresponding to any one of the feature types; Obtain risk index data corresponding to any one of the feature types; After obtaining the risk index data corresponding to each of the plurality of feature types, obtaining the total risk index data of the laboratory environment based on the risk index data corresponding to each of the plurality of feature types; Based on the total risk index data of the laboratory environment, determine whether there are safety issues of a specified problem type in the laboratory environment, and output identification results of the laboratory safety issues.

5. The laboratory safety data processing system according to claim 1, characterized in that: The determining whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types and outputting the identification result of the laboratory safety problem includes: The environmental monitoring data of the multiple characteristic types are input into a preset decision tree model to determine whether there are safety issues of the specified problem type in the laboratory environment, and output the identification results of the laboratory safety issues.

6. A laboratory safety data processing method, characterized in that: include: Obtain environmental monitoring data of various characteristic types; Based on the environmental monitoring data of the multiple feature types, determine whether there are safety issues of the specified problem type in the laboratory environment, and output the identification results of the laboratory safety issues. If the identification results indicate that there are safety issues of the specified problem type in the laboratory environment, perform an alarm operation for the safety issues of the specified problem type.

7. The laboratory safety data processing method according to claim 6, characterized in that: The determining whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types and outputting the identification result of the laboratory safety problem includes: Determine that the problem type corresponding to the environmental monitoring data set of the specified problem type is the specified problem type; Based on the environmental monitoring data in the environmental monitoring data set of the specified problem type, determine whether there is a safety problem of the specified problem type in the laboratory environment, and output an identification result of the laboratory safety problem; The environmental monitoring data set of the specified problem type is obtained in the following manner: Obtain a correspondence table between feature types to which environmental features in the laboratory environment belong and problem types to which security problems existing in the laboratory environment belong; Based on the correspondence table, obtaining the problem type corresponding to the characteristic type of each environmental monitoring data in the environmental monitoring data of the multiple characteristic types; If the problem type corresponding to the feature type to which each environmental monitoring data belongs is the specified problem type, each environmental monitoring data is added to the environmental monitoring data set of the specified problem type.

8. A laboratory safety data processing device, characterized in that: include: An environmental monitoring data acquisition unit, used to acquire environmental monitoring data of various characteristic types; The safety problem judgment unit is used to judge whether there is a safety problem of a specified problem type in the laboratory environment based on the environmental monitoring data of the multiple feature types, and output the identification result of the laboratory safety problem. If the identification result indicates that there is a safety problem of the specified problem type in the laboratory environment, an alarm operation for the safety problem of the specified problem type is performed.

9. An electronic device, characterized in that: The electronic device comprises a processor and a memory; The memory stores a computer program, and after the processor runs the computer program, the method according to any one of claims 6 to 7 is executed.

10. A computer storage medium, characterized in that: The computer storage medium stores a computer program, and after the computer program is run by the processor, the method according to any one of claims 6 to 7 is executed.

Images