Experiment place safety supervision method and device, electronic equipment and storage medium

Abstract

The invention discloses an experiment place safety supervision method and device, electronic equipment and a storage medium. The method comprises the following steps: verifying a first object according to first information to obtain a first result; determining first data according to the first result; verifying the first data to obtain a second result; and performing safety early warning according to the second result. According to the method, the first object is verified, whether the first object has an experiment permission or not is determined according to a verification result, safety monitoring is performed on the whole experiment process, and safety early warning is performed when a safety problem is monitored. Safety rules and regulations of an experiment can be converted into an executable, monitorable and traceable safety management process, and the intelligent level and risk prevention and control capability of laboratory safety management are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of laboratory safety management technology, and in particular to a method, device, electronic equipment and storage medium for monitoring the safety of laboratory sites. Background Technology

[0002] Universities and research institutes' laboratories undertake a large number of teaching and research tasks. Experimental activities are not only technically complex but also inherently dangerous and involve significant exposure; once out of control, they can easily lead to serious personal injury and property damage accidents. To ensure the safety of laboratory personnel, most institutions have explicit management regulations requiring at least two people to be present in the laboratory during non-working hours or when conducting hazardous experiments. However, in practice, these safety requirements often rely on self-discipline or post-event registration, lacking effective technical means for mandatory enforcement and continuous monitoring.

[0003] Existing laboratory safety management technologies mainly focus on access control, video surveillance, and experiment reservation systems. Access control systems typically only control whether personnel are qualified to enter the laboratory and cannot determine whether the requirement for multiple people to be present simultaneously is met. While video surveillance systems can record laboratory footage, they are mostly used for post-event review and lack the ability to identify and automatically alarm for changes in the number of personnel during experiments. Experiment reservation systems are mostly limited to text reporting or time recording and cannot be linked with identity authentication and on-site personnel verification.

[0004] In addition, existing technologies generally have the following shortcomings: First, they lack a compliance constraint mechanism before experiments, making it difficult to ensure through system means that multiple people have completed the registration and approval process when researchers enter the laboratory outside of working hours; second, they lack continuous monitoring capabilities during experiments, making it impossible to promptly detect and intervene when researchers leave midway, causing the number of people on site to fall below the safety threshold; third, they lack a unified anomaly escalation and linkage response mechanism, making it impossible to quickly link up with laboratory management personnel or safety departments through the system when researchers encounter sudden dangers; and fourth, experimental activity records are fragmented, making it difficult to form complete and traceable safety management records for experiments conducted outside of working hours. Summary of the Invention

[0005] This invention provides a method, device, electronic equipment, and storage medium for safety monitoring of experimental sites, in order to solve the problem that safety monitoring of experimental sites does not meet the requirements.

[0006] According to one aspect of the present invention, a method for safety supervision of experimental sites is provided, comprising: The first object is verified based on the first information to obtain the first result; the first information is the pre-generated reporting information for the use of the experimental site; the first object is the object that uses the experimental site and completes the experiment; the first result is used to characterize whether the first object has the authority to conduct the experiment; The first data is determined based on the first result; the first data is used to characterize the changes at each step in the experiment. The first data is verified to obtain a second result; the second result is used to characterize whether the experimental process meets safety requirements. A security warning will be issued based on the second result.

[0007] According to another aspect of the present invention, a safety monitoring device for experimental sites is provided, comprising: The first result determination module is used to verify the first object based on the first information to obtain the first result; the first information is pre-generated reporting information for the use of the experimental site; the first object is the object that uses the experimental site and completes the experiment; the first result is used to characterize whether the first object has the authority to conduct the experiment; The first data determination module is used to determine first data based on the first result; the first data is used to characterize the changes at each step in the experiment. The second result determination module is used to verify the first data and obtain a second result; the second result is used to characterize whether the experimental process meets safety requirements. The early warning module is used to issue a safety warning based on the second result.

[0008] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the experimental site safety monitoring method according to any embodiment of the present invention.

[0009] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions, the computer instructions being configured to cause a processor to execute and implement the experimental site safety monitoring method according to any embodiment of the present invention.

[0010] The technical solution of this invention verifies a first object based on first information to obtain a first result. Determining the first result allows for verification of the first object's eligibility for the experiment and its consistency with the reported object before the experiment begins, thereby improving experimental safety. First data is determined based on the first result; the first data is verified to obtain a second result; a safety warning is issued based on the second result, and the experimental process is monitored. Warnings are issued upon detecting safety issues, enhancing experimental safety while enabling timely resolution of safety problems. This method, by verifying the first object, determining its authorization to conduct the experiment based on the verification result, and monitoring the entire experimental process for safety, issues safety warnings are issued upon detection of safety problems. This transforms experimental safety regulations into an executable, monitorable, and traceable safety management process, significantly improving the intelligence level and risk control capabilities of laboratory safety management.

[0011] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 A flowchart illustrating a method for safety supervision of experimental sites provided in an embodiment of the present invention; Figure 2 A first information generation block diagram provided in an embodiment of the present invention; Figure 3 A block diagram of a laboratory safety monitoring system provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of a first object monitoring method provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of a first object verification provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of a first record generation provided in an embodiment of the present invention; Figure 7 This is a schematic diagram of the structure of a safety monitoring device for an experimental site provided in an embodiment of the present invention; Figure 8A schematic diagram of the structure of an electronic device for implementing the experimental site safety monitoring method of this invention. Detailed Implementation

[0014] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0015] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0016] Figure 1 This is a flowchart illustrating a method for monitoring the safety of experimental sites according to an embodiment of the present invention. This embodiment is applicable to situations where the experimental process needs to be monitored. The method can be executed by an experimental site safety monitoring device, which can be implemented in hardware and / or software. This device can be configured in any electronic device with network communication capabilities. Figure 1 As shown, the method includes: S110. Verify the first object based on the first information to obtain the first result; the first information is the pre-generated reporting information for the use of the experimental site; the first object is the object that uses the experimental site and completes the experiment; the first result is used to characterize whether the first object has the authority to conduct the experiment.

[0017] Specifically, the recognition module collects data on the first object to obtain the first image and the first quantity. The first image and the first quantity are verified based on the first object information recorded in the first information, and the first result is generated based on the verification result.

[0018] Furthermore, the verification method can be either two-stage verification or single-stage verification. Single-stage verification involves only access control verification or cross-verification, depending on whether the experimental site has camera-based access control. Two-stage verification involves both access control verification and cross-verification; the verification steps can be: first perform access control verification, then perform cross-verification.

[0019] Furthermore, the process of generating the first information is as follows: after obtaining the instruction to conduct the experiment, the experiment application information provided by the first object is obtained, the obtained experiment application information is verified, and if the verification passes, it is sent to the second object. The second object verifies the verification result and the experiment application information. After the verification passes, an experiment compliance identifier is added to the experiment application information to obtain the first information.

[0020] For example, such as Figure 2 The diagram illustrates the generation process of the first piece of information. First, an experiment application is submitted. This application is then validated according to the specified criteria. If the validation passes, it is sent to a second entity for further verification. Based on the validation results, the first piece of information is generated and written to the data platform. If the validation fails, the reason for rejection is recorded, and the experiment reporting process is terminated. The second entity can be either a laboratory administrator or a global administrator.

[0021] The acquisition of the first piece of information is completed by the reporting and approval module. The reporting and approval module is used to verify the experimental application information during non-working hours or before the start of high-risk experiments, and generate the first piece of information based on the verification results.

[0022] The verification of the first object is completed by the recognition module. The recognition module is used to verify the characteristics and quantity of the first object. For example... Figure 3 As shown, the identification module includes an access control identification unit and a mutual authentication unit.

[0023] The access control recognition unit is used for access control verification. This involves capturing an image of a first object, extracting its feature information, and comparing this information with the feature information in a first set of information. During the comparison, the number of first objects captured is recorded to obtain a first quantity. If the first quantity is the same as the quantity in the first set of information and is greater than a preset quantity, the feature information comparison result is consistent, and the first result is considered successful verification. If any condition is not met, the first result is considered unsuccessful verification.

[0024] The mutual authentication unit is used to implement cross-validation, that is, to generate a preset verification rule based on the number of first objects, to scan the first objects according to the preset verification rule, and to verify them based on the information obtained from the scan.

[0025] Furthermore, such as Figure 3As shown, the experimental site safety supervision system includes, in addition to the reporting and approval module and the identification module, a monitoring and anomaly early warning module, a one-click alarm and safety linkage module, and an object permission and information display module.

[0026] The monitoring and anomaly warning module verifies the first data from three perspectives: operational steps, changes in the first object, and environmental parameters, and generates a second result based on the verification results. The monitoring and anomaly warning module includes: an object monitoring unit, an intelligent operational behavior recognition unit, and an environmental parameter sensing unit.

[0027] The object monitoring unit is used to monitor the number of first objects and continuously determine whether the number of first objects is lower than a preset number and whether the first objects have been replaced.

[0028] The intelligent operation behavior recognition unit uses visual sensors deployed in key operation areas and image recognition algorithms to analyze in real time whether the first object is performing unsafe operations. When an unsafe operation is detected, an operation violation warning is automatically generated. Key operation areas can be at least: fume hoods, or areas near high-temperature equipment. Unsafe operations can be at least: whether the first object is correctly wearing protective equipment as required, whether dangerous operations are being performed in designated safe areas, and whether the operation conforms to preset safety specifications.

[0029] The environmental parameter sensing unit is used to collect experimental environmental data in real time through deployed IoT devices. The collected environmental parameter data is compared with environmental calibration parameters, and an environmental anomaly warning is immediately triggered if any parameters are exceeded. The IoT devices include at least: a temperature sensor, a pressure sensor, a gas concentration sensor, and a smoke sensor. The environmental calibration parameters include at least: the maximum allowable temperature, the pressure warning line, and the TLV value of toxic gases.

[0030] Among them, the one-click alarm and safety linkage module is used to issue an alert after the monitoring and anomaly warning module detects an anomaly, that is, to issue an alert based on the second result.

[0031] The object permissions and information display module is used to display the information of the first object and the second object, as well as the real-time status of the experimental process.

[0032] The real-time status of the experiment includes: real-time experimental status, presence of the first object, alarms and historical records, and environmental parameter curves.

[0033] The above steps enable each module in the experimental site safety supervision system to share experimental compliance identifiers, primary object information, and alarm status through a unified data platform, forming a laboratory personnel compliance duty control system covering before, during, and after the experiment. This transforms the safety requirement of having at least two primary objects on duty simultaneously into technical rules that the system can determine and execute.

[0034] S120. Determine the first data based on the first result; the first data is used to characterize the changes in each step of the experiment.

[0035] The first data includes at least: operation step images, environmental parameter data, and a second image.

[0036] The operation step images are image information for each operation step. Environmental parameters represent environmental changes caused by experimental variations; for example, assuming gas is generated during the experiment, the environmental parameter is the gas concentration. The second image is an image of the first object's motion acquired during the experiment.

[0037] Specifically, if the first result is a successful verification, the restrictions on the experimental site are lifted, and an instruction to start the experiment is given. During the experiment, real-time data is collected through environmental monitoring equipment and visual recognition equipment configured in the experimental site to obtain the first data. If the first result is a failed verification, entry into the experimental site is prohibited, and the verification failure is recorded.

[0038] S130. Verify the first data to obtain the second result; the second result is used to characterize whether the experimental process meets safety requirements.

[0039] Specifically, the first data is verified from three perspectives: operation steps, changes in the first object, and environmental parameters. The second result is then generated based on the verification results.

[0040] Further, the verification of the first object change involves verifying the second image. This verification is achieved through an object monitoring unit. The specific verification steps are as follows: After acquiring the second image, the object monitoring unit identifies the first object from it and extracts its features. The acquired feature information is compared with the feature information in the first information, and the comparison result determines whether the first object has been replaced. Images of the first object captured at the same time are stitched together, and duplicate first objects are removed. The number of first objects in the entire experimental area is determined based on the stitched image. This number is compared with the number in the first information, and the comparison result determines whether the number of first objects decreased during the experiment. A fourth result is generated based on the results of these two determinations.

[0041] Furthermore, the operation step verification involves verifying the operation step images. Verification is achieved through an intelligent operation behavior recognition unit. The specific verification steps are as follows: comparing the operation step images with preset operation features, performing verification based on the comparison results, and generating a fifth result based on the verification results.

[0042] Furthermore, environmental parameter verification involves validating the environmental parameter data. Verification is achieved through an environmental parameter sensing unit. The specific verification steps are as follows: Match the corresponding environmental verification parameters to the experiment type in the first information. Compare the acquired environmental parameter data with the environmental verification parameters in real time. If the detected environmental parameter data exceeds the environmental verification parameters, a sixth result is generated.

[0043] S140. Issue a safety warning based on the second result.

[0044] Specifically, if the second result indicates no safety issue, safety monitoring continues. If the second result indicates a safety issue, an early warning is issued based on the specific issue steps. That is, if it is only a single safety issue, the risk level of the issue is assessed, the warning level is determined based on the risk level, and the corresponding warning mode is activated. If there are multiple safety issues, the corresponding warning mode is matched to the risk level of each issue, and operations and hazard associations are performed on multiple issues. Control strategies are matched based on the acquired hazard levels. During the early warning process and / or the corresponding equipment control based on the control strategy, the resolution of the safety issue is monitored in real time. If the safety issue is not resolved, the duration of the safety issue is acquired, and it is determined whether the duration exceeds a preset time limit. During this process, changes in the risk level are continuously assessed, and the need for warning escalation is determined based on the assessment results.

[0045] Furthermore, steps S130 and S140 above involve issuing early warnings in real time based on real-time monitoring.

[0046] For example, suppose the safety issue is simply: a first person is approaching the observation window of the reactor without wearing an explosion-proof mask. Immediately mark this behavior and activate an on-site audible and visual alert. If the first person does not correct the situation within a specified time, an operational violation alarm is uploaded. Alternatively, if the safety issue is: a first person is approaching the observation window of the reactor without wearing an explosion-proof mask, and the environmental parameter sensing unit detects a slow increase in the concentration of combustible gas around the reactor approaching the warning value, then both the on-site audible and visual alert and an environmental pre-alarm are activated. By correlating and weighting the two issues, the current hazard level is determined as the risk of damage to the first person. Based on the obtained hazard level, a control strategy is matched, i.e., preparing to start the fan to enhance ventilation. When all alarm issues are resolved, the alarms are stopped, and the alarm information is recorded.

[0047] For example, the steps for issuing an early warning about changes to the first object are as follows: Figure 4As shown, the changes in the first object are first periodically monitored, that is, the number and status of the first object within a preset time interval are obtained based on the second image. The first object is then judged: whether the number of the first object has decreased or increased; and whether the first object has been replaced based on its status. If the number decreases or increases, or the first object is replaced, the duration of the anomaly is recorded, and the risk level of the current experimental process is judged. If the duration exceeds a preset time window, and the risk level is high-risk, the current experimental state is switched to an abnormal state, and the alarm state is escalated, triggering an escalation alarm process, i.e., an SMS notification to the second object or an AI phone call to the remaining first objects in the experimental site. The system also monitors in real time whether the current abnormal state is handled. If handled, the current experimental state is switched to a normal state; if not handled, the alarm is further escalated, i.e., linked with the one-click alarm and safety linkage module, notifying the safety management department to initiate the emergency response process. If neither the duration exceeding the preset time window nor the risk level being high-risk is met, the current experimental state is maintained as normal, and monitoring continues.

[0048] Optionally, the first object is verified based on the first information to obtain a first result, including steps A1-A3: Step A1: Determine the first image and the first quantity based on the first object; the first image is used to characterize the feature information of the first object; the first quantity is the total number of the first objects.

[0049] Specifically, an image is captured of the first object to obtain the first image, and the number of the first objects captured is recorded to obtain the first quantity.

[0050] Step A2: Verify the first object based on the first information, the first image, and the first quantity to obtain the third result.

[0051] Specifically, feature information of the first object is obtained from the first information, and feature information is extracted from the first image to obtain second feature information. The first feature information and the second feature information are compared with the first object. If the matching degree is greater than a preset matching degree, the first quantity is compared with the quantity in the first information. If the quantities are the same, the third result is that the first object verification is successful; if the quantities are different, the third result is that the first object verification is unsuccessful. If the matching degree is less than or equal to the preset matching degree, the third result is that the first object verification is unsuccessful.

[0052] The first feature information can be in the form of edge contour lines or a numerical matrix.

[0053] Further, the specific steps for comparing the first feature information and the second feature information are as follows: If the first feature information is an edge contour line, the opacity of the second feature information and the first feature information is adjusted, and then they are overlapped. The matching degree is determined based on the degree of overlap of the edge contour lines after the overlap. If the first feature information is a numerical matrix, the values ​​of the first feature information and the second feature information are compared, and a matching degree is generated based on the comparison result.

[0054] The experimental application information should include at least the following: experimental time, experimental location, experimental risk level, experimental content, experimental type, key operation standard operating procedure (SOP) index, list of required PPE (personal protective equipment), characteristic image of the first object, and number of the first object.

[0055] The critical operating procedure (SOP) index is an index of the equipment for each experimental step. The required PPE list is a list of protective equipment necessary for conducting the experiment. For example, assuming the experiment type is a high-pressure catalytic reaction, the required PPE list may include: explosion-proof face shield and chemical-resistant gloves.

[0056] The compliance labels for experiments correspond one-to-one with the experimental content.

[0057] The second category refers to entities that manage experimental sites or the entire experimental area.

[0058] Furthermore, the verification content for the obtained experimental application information is as follows: whether the first subject has the qualification to operate the experiment, whether the experiment time is outside of working hours and outside of the safety control period, and whether the number of the first subject is not less than the preset number.

[0059] Furthermore, after verifying the experimental application information, it is also necessary to verify whether the environmental monitoring equipment and visual recognition equipment configured in the experimental site are online and functioning properly. For example, assuming the experimental type is a high-pressure catalytic reaction, the environmental monitoring equipment would be the imaging devices configured in the pressure gauge area of ​​the reactor and the protective equipment wearing area.

[0060] Step A3: Perform a second verification on the first object based on the third result to obtain the first result.

[0061] Specifically, if the third result is that the first object passes the verification, then a preset verification rule is generated based on the first object, the first object is verified a second time based on the preset verification rule, and the first result is generated based on the verification result.

[0062] Furthermore, the first result can be generated by first verifying the first object once, and then verifying the first object a second time, as described above; or it can be generated based on the result of a single verification.

[0063] For example, such as Figure 5 As shown, this is the process of generating the first information based on the result of a single verification. First, the verification method is selected based on whether there is a camera access control in the experimental site. That is, if there is a camera access control in the experimental site, access control recognition is used; if there is no camera access control in the experimental site, cross-verification is used.

[0064] The access control recognition process involves capturing an image of a first object, extracting its feature information, and comparing this feature information with the feature information in a first set of information. During this comparison, the number of first objects captured is recorded. If the first number is the same as or greater than the number in the first set of information, the feature information comparison result is consistent, and the first result is considered successful. If any condition is not met, the first result is considered unsuccessful.

[0065] Cross-validation involves generating preset validation rules based on the number of the first object, such as... Figure 5 As shown, if the number of the first object is 3, the preset verification rule is A verifies B, B verifies C, and C verifies A. After the scan is completed, the verification is performed based on the information obtained from the scan. The verification steps are the same as the verification process described above, and will not be repeated here.

[0066] Optionally, the first object is further verified based on the third result to obtain the first result, including steps B1-B2: Step B1: Generate preset verification rules based on the first quantity.

[0067] Specifically, based on the first quantity matching verification rule generation method, a preset verification rule is generated according to the verification rule generation method.

[0068] The verification rule generation methods are divided into odd-number verification and even-number verification. Odd-number verification checks the first object number, verifying the next object with the previous one. For example, if the first objects are A, B, and C, the verification method is A verifies B, B verifies C, and C verifies A. Even-number verification checks any combination of two first object numbers, ensuring no repetition in each combination. For example, if the first objects are A, B, C, and D, the verification method is A verifies B, B verifies C, C verifies D, and D verifies A; or A verifies C, C verifies D, D verifies B, and B verifies A.

[0069] Step B2: Verify the first object according to the preset verification rules to obtain the first result.

[0070] Specifically, information is collected from the first object according to the preset verification rules. The collected information is compared with the verification content. If all the verification content is met, the first result is that the verification is successful. If one condition is not met, the first result is that the verification is unsuccessful.

[0071] The verification content includes whether the characteristics and quantity of the first object are consistent with those in the first information.

[0072] Optionally, the first data is validated to obtain a second result, including steps C1-C4: Step C1: Verify the features and quantity of the first object based on the first data to obtain the fourth result.

[0073] Specifically, a second image is obtained from the first data, a first object is identified from the second image, and its features are extracted. The obtained feature information is compared with the feature information in the first data, and the comparison result determines whether the first object has been replaced. Images of the first object taken at the same time are stitched together, and duplicate first objects are removed. The number of first objects in the entire experimental site is determined based on the stitched image, and the obtained number is compared with the number in the first data. Based on the comparison result, it is determined whether the number of first objects has decreased or increased during the experiment. If the first object has been replaced or the number of first objects has changed, the fourth result is that the first object is abnormal; if the first object has not been replaced and the number of first objects remains unchanged, the fourth result is that the first object is not abnormal.

[0074] Step C2: Perform operation verification based on the first data and preset operation features to obtain the fifth result; the preset operation features are the feature information obtained by pre-collecting features of the experimental process.

[0075] Among them, the preset operation features describe the experimental operation process and operation specifications in the form of a numerical matrix.

[0076] Specifically, the operation step images are obtained from the first data, sorted according to the acquisition time, and the step type of the action trajectory is determined based on the action trajectory of the first object in adjacent frames of each image. The corresponding step feature information is matched from the preset feature information according to the obtained step type, the first object in the action trajectory is feature extracted, and compared with the matched feature information. Based on the comparison result, it is determined whether the action trajectory of the step meets the safety requirements, and a fifth result is generated based on the judgment result.

[0077] For example, suppose the identified step trajectory is: the first object approaches the observation window of the reactor. If the feature information of the first object in the trajectory does not include the feature information of the explosion-proof mask, it indicates that the first object approached the observation window of the reactor without wearing an explosion-proof mask, and the fifth result is that the first object violated the operation rules in this step.

[0078] Step C3: Perform environmental verification on the first data to obtain the sixth result.

[0079] Specifically, the environmental verification parameters for the corresponding experimental type are matched based on the experimental type in the first information. The acquired environmental parameter data is compared with the environmental verification parameters in real time. If the environmental parameter data is detected to exceed the environmental verification parameters, the sixth result is "parameter exceeds the limit"; if the environmental parameter data is detected to not exceed the environmental verification parameters, the sixth result is "parameter does not exceed the limit".

[0080] Step C4: Determine the second result based on the fourth, fifth, and sixth results.

[0081] Specifically, if the fourth result indicates that the first object has no anomalies, the fifth result indicates that the operation of the first object is not in violation of regulations, and the sixth result indicates that the parameters are not exceeded, then the second result indicates that there is no security issue. If any of the fourth, fifth, or sixth results fails to meet the requirements, then the second result indicates that there is a security issue.

[0082] Optionally, a security alert can be issued based on the second result, including steps D1-D2: Step D1: If the second result indicates a security issue, issue an alert and match the first strategy according to the type of security issue; the first strategy is used to handle the security issue.

[0083] Specifically, if the second result indicates a security issue, an alert is issued based on the specific security issue. If it's a single security issue, the risk level is assessed, the alert level is determined accordingly, and the corresponding alert mode is activated. If there are multiple security issues, the alert mode is matched to the risk level of each issue, and operations and hazard associations are performed on all issues. Control strategies are then matched based on the acquired hazard levels. Once all alerted issues are resolved, the alerting stops, and the alert information is recorded.

[0084] Step D2: If the second result indicates that there is no security issue, continue security monitoring.

[0085] Specifically, if the second result indicates that there is no security issue, then the first data is retrieved and verified based on the first data.

[0086] Optionally, after issuing a security alert based on the second result, steps E1-E3 may be included: Step E1: Determine whether the experimental process is complete, and obtain the seventh result.

[0087] Specifically, the second information is obtained, the experimental process is judged based on the second information, and the seventh result is generated based on the completion result.

[0088] The second piece of information includes: images of the operation steps and timestamp information.

[0089] Furthermore, the steps for determining whether the experimental process is completed based on the second information are as follows: sort the acquired operation step images according to the acquisition time, acquire images of a preset number of frames connected to the current system timestamp, determine the motion trajectory of the first object from the acquired images, determine whether it is the experimental closing step based on the acquired motion trajectory, and determine whether the experimental process is completed based on the judgment result.

[0090] Furthermore, it is also necessary to determine whether the experimental time meets the requirements, that is, to subtract the timestamp information obtained from the timestamp information at the start of the experiment, and compare the obtained difference with the experimental time in the first information. If the experimental time is exceeded, an overtime warning will be issued.

[0091] Step E2: If the seventh result indicates that the experiment is complete, then the first object is verified and the first record is generated.

[0092] Specifically, if the seventh result is that the experiment is completed, the first object is verified through the recognition module, and the first record is generated based on the verification result, the second result, and the first information.

[0093] The first record includes at least: the experimental time period, the experimental location, the experimental risk level, the information of the first subject, the second result, the early warning information, and the control strategy.

[0094] The first record also includes: the verification results of the test site, the pressure-temperature change curve during the test, screenshots of alarm moments when PPE was not worn properly, and logs of the ventilation system automatically increasing the air volume due to the alarm.

[0095] The verification results of the experimental site are used to characterize whether the experimental site has been restored to its state before the experiment began. The verification results of the experimental site include at least: whether the water source, power source, and gas source of the experimental site are turned off.

[0096] Furthermore, the first record is used for safety audits and accountability tracking during safety tracing. It can also be used to perform statistical analysis on the experimental processes of different experiments to determine the accuracy of experimental steps and facilitate the optimization of experimental steps.

[0097] Step E2: If the seventh result indicates that the experiment is not completed, then continue to make a judgment.

[0098] Specifically, if the seventh result indicates that the experiment is not completed, then the safety verification and experiment completion verification will continue.

[0099] For example, such as Figure 6As shown, the system first verifies whether the first object has left the experimental site through access control or mobile terminal departure authentication. After detecting that all first objects have left, the experimental site is verified. If the experimental site verification passes, a first record is generated. If it is detected that some first objects have not left, the departure status is monitored. If there is an abnormal departure status, the abnormal status is recorded.

[0100] The technical solution of this embodiment verifies a first object based on first information to obtain a first result. Determining the first result allows for verification of the first object's eligibility for the experiment and its consistency with the reported object before the experiment begins, thereby improving experimental safety. First data is determined based on the first result; the first data is verified to obtain a second result; a safety warning is issued based on the second result, and the experimental process is monitored. Warnings are issued upon detecting safety issues, enhancing experimental safety while enabling timely resolution of safety problems. This method, by verifying the first object, determining its authorization to conduct the experiment based on the verification result, and monitoring the entire experimental process for safety, issues safety warnings when problems are detected. This transforms experimental safety regulations into an executable, monitorable, and traceable safety management process, significantly improving the intelligence level and risk control capabilities of laboratory safety management.

[0101] Figure 7 This is a schematic diagram of a laboratory safety monitoring device provided in an embodiment of the present invention. This embodiment is applicable to situations involving monitoring the experimental process. The laboratory safety monitoring device can be implemented in hardware and / or software, and can be configured in any electronic device with network communication capabilities. Figure 7 As shown, the device includes: a first result determination module 210, a first data determination module 220, a second result determination module 230, and an early warning module 240, wherein: First Result Determination Module 210: Used to verify the first object based on the first information to obtain the first result; the first information is pre-generated reporting information when using the experimental site; the first object is the object that uses the experimental site and completes the experiment; the first result is used to characterize whether the first object has the right to conduct the experiment; First data determination module 220: used to determine first data based on the first result; the first data is used to characterize the changes at each step in the experiment. Second result determination module 230: used to verify the first data and obtain the second result; the second result is used to characterize whether the experimental process meets safety requirements; Early warning module 240: Used to issue safety warnings based on the second result.

[0102] Optionally, the first result determination module 210 includes: Image and quantity determination unit: used to determine a first image and a first quantity based on a first object; the first image is used to characterize the feature information of the first object; the first quantity is the total number of the first object; The third result determination unit is used to verify the first object based on the first information, the first image, and the first quantity, and to obtain a third result. First Result Determination Unit: Used to perform secondary verification on the first object based on the third result to obtain the first result.

[0103] Optionally, the first result determination unit includes: Preset verification rule determination sub-unit: used to generate preset verification rules based on the first quantity; First Result Determination Subunit: Used to verify the first object according to preset verification rules and obtain the first result.

[0104] Optionally, the second result determination module 230 includes: Based on the first data, the first object is verified for features and quantity to obtain the fourth result; The operation is verified based on the first data and the preset operation features to obtain the fifth result; the preset operation features are the feature information obtained by collecting features of the experimental process in advance. Environmental verification was performed on the first data, resulting in the sixth result.

[0105] The second result is determined based on the fourth, fifth, and sixth results.

[0106] Optional, the early warning module 240 includes: First strategy determination unit: used to issue an early warning if the second result indicates a security problem, and to match a first strategy according to the type of security problem; the first strategy is used to handle the security problem; Monitoring unit: Used to continuously monitor security if the second result indicates that there is no security problem.

[0107] Optional safety monitoring devices for experimental sites include: The seventh result determination module is used to determine whether the experimental process has been completed and to obtain the seventh result. First record determination module: If the seventh result indicates that the experiment is complete, then the first object is verified and the first record is generated; Judgment module: If the seventh result indicates that the experiment is not completed, then continue to make judgments.

[0108] The experimental site safety monitoring device provided in the embodiments of the present invention can execute the experimental site safety monitoring method provided in any of the embodiments of the present invention, and has the corresponding functions and beneficial effects of executing the experimental site safety monitoring method. For details, please refer to the relevant operations of the experimental site safety monitoring method in the foregoing embodiments.

[0109] Figure 8 This is a schematic diagram of an electronic device for implementing the experimental site safety monitoring method of this invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0110] like Figure 8 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0111] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0112] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as experimental site security monitoring methods.

[0113] In some embodiments, the laboratory safety monitoring method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the laboratory safety monitoring method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the laboratory safety monitoring method by any other suitable means (e.g., by means of firmware).

[0114] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0115] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0116] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0117] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0118] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0119] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0120] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0121] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for safety supervision of experimental sites, characterized in that, include: The first object is verified based on the first information to obtain the first result; The first piece of information is pre-generated reporting information for the use of the experimental site; The first object is the object that uses the experimental site and completes the experiment; the first result is used to characterize whether the first object has the authority to conduct the experiment; The first data is determined based on the first result; The first data is used to characterize the changes at each step of the experiment; The first data is verified to obtain a second result; the second result is used to characterize whether the experimental process meets safety requirements. A security warning will be issued based on the second result.

2. The method according to claim 1, characterized in that, The step of verifying the first object based on the first information to obtain the first result includes: A first image and a first quantity are determined based on the first object; the first image is used to characterize the feature information of the first object; the first quantity is the total number of the first objects. The first object is verified based on the first information, the first image, and the first quantity to obtain a third result; The first object is then verified a second time based on the third result to obtain the first result.

3. The method according to claim 2, characterized in that, The step of performing secondary verification on the first object based on the third result to obtain the first result includes: Generate preset verification rules based on the first quantity; The first object is verified according to the preset verification rules to obtain a first result.

4. The method according to claim 1, characterized in that, The step of verifying the first data to obtain the second result includes: Based on the first data, the first object is verified for features and quantity to obtain the fourth result; Based on the first data and the preset operation features, the operation is verified to obtain the fifth result; the preset operation features are feature information obtained by pre-collecting features of the experimental process. The first data is subjected to environmental verification, resulting in the sixth result; The second result is determined based on the fourth result, the fifth result, and the sixth result.

5. The method according to claim 1, characterized in that, The step of issuing a security warning based on the second result includes: If the second result indicates a security issue, an alert is issued, and a first strategy is matched based on the type of the security issue; the first strategy is used to handle the security issue. If the second result indicates that there are no security issues, then security monitoring will continue.

6. The method according to claim 1, characterized in that, After issuing a security alert based on the second result, the following is included: To determine whether the experimental process was completed, the seventh result was obtained. If the seventh result indicates that the experiment is complete, then the first object is verified and a first record is generated; If the seventh result indicates that the experiment is not completed, then the judgment process continues.

7. A safety monitoring device for experimental sites, characterized in that, include: The first result determination module is used to verify the first object based on the first information and obtain the first result; The first information is pre-generated reporting information for the use of the experimental site; the first object is the object that uses the experimental site and completes the experiment; the first result is used to characterize whether the first object has the authority to conduct the experiment; The first data determination module is used to determine first data based on the first result; The first data is used to characterize the changes at each step of the experiment; The second result determination module is used to verify the first data and obtain a second result; the second result is used to characterize whether the experimental process meets safety requirements. The early warning module is used to issue a safety warning based on the second result.

8. The apparatus according to claim 7, characterized in that, The first result determination module includes: An image and quantity determination unit is used to determine a first image and a first quantity based on the first object; the first image is used to characterize feature information of the first object; the first quantity is the total number of the first object. The third result determination unit is used to verify the first object based on the first information, the first image, and the first quantity, and obtain a third result; The first result determination unit is used to perform secondary verification on the first object based on the third result to obtain the first result.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the experimental site safety monitoring method according to any one of claims 1-6.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the experimental site safety monitoring method according to any one of claims 1-6.

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