CN112881600A - Laboratory hazard detection method, laboratory hazard detection equipment, storage medium and laboratory hazard detection device - Google Patents

Laboratory hazard detection method, laboratory hazard detection equipment, storage medium and laboratory hazard detection device Download PDF

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CN112881600A
CN112881600A CN202110033346.1A CN202110033346A CN112881600A CN 112881600 A CN112881600 A CN 112881600A CN 202110033346 A CN202110033346 A CN 202110033346A CN 112881600 A CN112881600 A CN 112881600A
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information
gas
experimental
gas concentration
target
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郑禄
王飚
吴经龙
单一鸣
马尧
王强
杜小坤
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South Central Minzu University
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South Central University for Nationalities
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004—Gaseous mixtures, e.g. polluted air
    • G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
    • G01N33/0067—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display by measuring the rate of variation of the concentration
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass

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Abstract

The invention discloses a laboratory hazard detection method, equipment, a storage medium and a device, wherein the method comprises the following steps: determining a target experiment area and experiment project information according to an experiment request, updating an initial gas concentration threshold table of the target experiment area according to the experiment project information to obtain a target gas concentration threshold table, and generating a danger detection result of the target experiment area according to the target gas concentration threshold table, the experiment project information, detection gas information of the target experiment area and detection image information; compared with the existing mode of judging whether to carry out danger early warning through gas detection information and temperature and humidity detection information, the method and the device have the advantages that the gas concentration threshold table for danger judgment is updated through the experimental item information, the defect that false alarm is easy to occur when certain experimental items possibly generating dangerous gas are carried out in the prior art is overcome, and therefore the laboratory danger detection process can be optimized to meet the requirements of complex laboratory danger detection.

Description

Laboratory hazard detection method, laboratory hazard detection equipment, storage medium and laboratory hazard detection device
Technical Field
The invention relates to the technical field of laboratories, in particular to a laboratory hazard detection method, laboratory hazard detection equipment, a storage medium and a device.
Background
At present, laboratory hazard detection generally determines laboratory environment information through gas detection information and temperature and humidity detection information, and judges whether to perform hazard early warning according to the laboratory environment information. However, the above hazard detection method cannot identify the current experimental project in the laboratory, so that a problem of false alarm is easily caused when some experimental projects which may generate hazardous gas are performed.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a laboratory hazard detection method, equipment, a storage medium and a device, and aims to solve the technical problem of how to optimize a laboratory hazard detection process.
In order to achieve the above object, the present invention provides a laboratory hazard detection method, comprising the steps of:
when an experiment request is received, determining a target experiment area and experiment project information according to the experiment request;
searching an initial gas concentration threshold value table corresponding to the target experiment region in a preset mapping relation table, wherein the preset mapping relation table comprises the corresponding relation between the target experiment region and the initial gas concentration threshold value table;
adjusting the initial gas concentration threshold value table according to the experimental project information to obtain a target gas concentration threshold value table;
acquiring the detected gas information and the detected image information of the target experiment area;
and generating a danger detection result of the target experiment area according to the detection gas information, the target gas concentration threshold value table, the detection image information and the experiment project information.
Preferably, the step of generating a danger detection result of the target experiment region according to the detected gas information, the target gas concentration threshold table, the detected image information, and the experiment item information specifically includes:
generating a gas detection result according to the detected gas information and the target gas concentration threshold table;
generating an image detection result according to the detection image information and the experimental project information;
and generating a danger detection result of the target experiment area according to the gas detection result and the image detection result.
Preferably, the step of generating a gas detection result according to the detected gas information and the target gas concentration threshold table specifically includes:
extracting information of the detected gas to obtain the type of the detected gas and the concentration of the detected gas corresponding to the type of the detected gas;
traversing the gas concentration threshold in the target gas concentration threshold table, and taking the traversed gas concentration threshold as the current gas concentration threshold;
searching the gas type corresponding to the current gas concentration threshold value, and matching the gas type with the detected gas type;
when the matching is successful, judging whether the detected gas concentration corresponding to the detected gas type is greater than the current gas concentration threshold value or not, and obtaining a judgment result;
and after traversing the gas concentration threshold, generating a gas detection result according to the judgment result.
Preferably, the step of generating an image detection result according to the detection image information and the experimental item information specifically includes:
determining current experimental equipment information and current experimental action information according to the detection image information;
extracting information of the experimental project information to obtain standard experimental equipment information and standard experimental action information;
matching the current experimental equipment information with the standard experimental equipment information to obtain an equipment matching result;
matching the current experimental action information with the standard experimental action information to obtain an action matching result;
and generating an image detection result according to the equipment matching result and the action matching result.
Preferably, the step of determining the current experimental equipment information and the current experimental motion information according to the detected image information specifically includes:
determining a detection video according to the detection image information, and extracting key frames of the detection video to obtain key frame images;
preprocessing the key frame image to obtain an image to be analyzed;
carrying out image recognition on the image to be analyzed through a preset deep learning network to obtain a recognition result;
and determining the current experimental equipment information and the current experimental action information according to the identification result.
Preferably, after the step of generating a danger detection result of the target experiment region according to the detected gas information, the target gas concentration threshold table, the detected image information, and the experiment item information, the laboratory danger detection method further includes:
when the danger detection result indicates that danger exists, acquiring linkage alarm information of the target experiment area;
determining a linkage alarm area according to the linkage alarm information, and searching linkage alarm equipment corresponding to the linkage alarm area;
and acquiring the regional position information of the target experiment region, and sending the regional position information and the danger detection result to the linkage alarm equipment.
Preferably, the step of adjusting the initial gas concentration threshold table according to the experimental item information to obtain a target gas concentration threshold table specifically includes:
determining experimental gas information according to the experimental project information, and determining experimental gas types and experimental gas discharge amounts corresponding to the experimental gas types according to the experimental gas information;
acquiring regional volume information of the target experiment region, and determining standard gas concentration according to the regional volume information and the experimental gas emission;
and adjusting the initial gas concentration threshold value table according to the standard gas concentration and the experimental gas type to obtain a target gas concentration threshold value table.
Furthermore, to achieve the above object, the present invention also provides a laboratory risk detection device, which includes a memory, a processor, and a laboratory risk detection program stored on the memory and executable on the processor, the laboratory risk detection program being configured to implement the steps of the laboratory risk detection method as described above.
Furthermore, to achieve the above object, the present invention further provides a storage medium having a laboratory risk detection program stored thereon, which when executed by a processor, implements the steps of the laboratory risk detection method as described above.
In addition, to achieve the above object, the present invention further provides a laboratory risk detection apparatus, including: the device comprises a determining module, a searching module, an updating module, an obtaining module and a generating module;
the determining module is used for determining a target experiment area and experiment project information according to an experiment request when the experiment request is received;
the searching module is used for searching an initial gas concentration threshold value table corresponding to the target experiment region in a preset mapping relation table, and the preset mapping relation table comprises the corresponding relation between the target experiment region and the initial gas concentration threshold value table;
the updating module is used for adjusting the initial gas concentration threshold value table according to the experimental project information to obtain a target gas concentration threshold value table;
the acquisition module is used for acquiring the detected gas information and the detected image information of the target experiment area;
and the generating module is used for generating a danger detection result of the target experiment area according to the detection gas information, the target gas concentration threshold value table, the detection image information and the experiment item information.
According to the method, a target experiment area and experiment project information are determined according to an experiment request, then an initial gas concentration threshold table of the target experiment area is updated according to the experiment project information to obtain a target gas concentration threshold table, and then a danger detection result of the target experiment area is generated according to the target gas concentration threshold table, the experiment project information, detection gas information of the target experiment area and detection image information; compared with the existing mode of determining laboratory environment information through gas detection information and temperature and humidity detection information and judging whether to carry out danger early warning according to the laboratory environment information, the method and the device have the advantages that the gas concentration threshold table for danger judgment is updated through the experimental item information, the defect that false alarm is easy to occur when certain experimental items possibly generating dangerous gas are carried out in the prior art is overcome, and therefore the laboratory danger detection process can be optimized to meet the requirements of complex laboratory danger detection.
Drawings
FIG. 1 is a schematic diagram of a laboratory hazard detection facility for a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a laboratory hazard detection method of the present invention;
FIG. 3 is a schematic flow chart of a second embodiment of the laboratory hazard detection method of the present invention;
FIG. 4 is a schematic flow chart of a laboratory hazard detection method according to a third embodiment of the present invention;
FIG. 5 is a schematic flow chart of a fourth embodiment of the laboratory hazard detection method of the present invention;
fig. 6 is a block diagram of the first embodiment of the laboratory hazard detection apparatus of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a laboratory hazard detection apparatus in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the laboratory hazard detection apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), and the optional user interface 1003 may further include a standard wired interface and a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory or a Non-volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of laboratory hazard detection equipment, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in FIG. 1, memory 1005, identified as one type of computer storage medium, may include an operating system, a network communication module, a user interface module, and a laboratory hazard detection program.
In the laboratory hazard detection apparatus shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting user equipment; the laboratory risk detection device calls a laboratory risk detection program stored in the memory 1005 through the processor 1001, and executes the laboratory risk detection method provided by the embodiment of the present invention.
Based on the hardware structure, the embodiment of the laboratory hazard detection method is provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the laboratory risk detection method of the present invention, and the first embodiment of the laboratory risk detection method of the present invention is provided.
Step S10: and when an experiment request is received, determining a target experiment area and experiment project information according to the experiment request.
It should be understood that the execution subject of the present embodiment is the laboratory risk detection device, wherein the laboratory risk detection device may be an electronic device such as a computer and a server, or may also be other devices that can achieve the same or similar functions.
It should be noted that the experiment request may include the name of the experiment project, the experiment location, the information of the experimenter, and the like, which is not limited in this embodiment.
It should be understood that the experiment request may be request information input by a user through a user interaction interface of the laboratory risk detection device, or may be request information input by the user through a terminal device that establishes a communication connection with the laboratory risk detection device in advance. The terminal device can be authorized by the user preset.
In particular implementations, for example, a user may enter a name of an experimental project, a location of an experiment, and information about laboratory personnel on a computer interface of a laboratory computer.
The user can set the mobile phone A as the authorization terminal device in the laboratory computer in advance, after the setting is completed, the user can input the name of the experimental project, the experimental place and the information of the experimenter through the mobile phone interface of the mobile phone A, and after the information input is completed, the laboratory computer receives the name of the experimental project, the experimental place and the information of the experimenter through modes such as 5G, 4G and WIFI.
The target experiment area may be a laboratory or a laboratory bench, and in this embodiment and the following embodiments, the laboratory is taken as an example for description.
The experimental project information may be the name of the experimental project, the information of the experimenter, and the like, which is not limited in this embodiment.
It can be understood that the determination of the target experiment region and the experiment project information according to the experiment request may be to extract the identifier of the experiment request, obtain the information identifier, classify the experiment request according to the information identifier, and obtain the target experiment region and the experiment project information. Wherein the information identifier may be information for identifying a kind of information.
Step S20: and searching an initial gas concentration threshold value table corresponding to the target experiment region in a preset mapping relation table, wherein the preset mapping relation table comprises the corresponding relation between the target experiment region and the initial gas concentration threshold value table.
It should be noted that the correspondence relationship between the target experiment region and the initial gas concentration threshold value table may be preset by a user, and this embodiment is not limited thereto.
It is to be understood that the initial gas concentration threshold value table contains the gas concentration threshold value of each harmful gas,
step S30: and adjusting the initial gas concentration threshold value table according to the experimental project information to obtain a target gas concentration threshold value table.
It should be understood that the initial gas concentration threshold value table is adjusted according to the experimental item information, and the target gas concentration threshold value table is obtained by determining experimental gas information according to the experimental item information, determining an experimental gas type and an experimental gas emission amount corresponding to the experimental gas type according to the experimental gas information, obtaining zone volume information of the target experimental zone, determining a standard gas concentration according to the zone volume information and the experimental gas emission amount, and adjusting the initial gas concentration threshold value table according to the standard gas concentration and the experimental gas type to obtain the target gas concentration threshold value table.
Step S40: and acquiring the detected gas information and the detected image information of the target experiment area.
The detected gas information may include the type of the detected gas and the concentration of the detected gas corresponding to the type of the detected gas, which is not limited in this embodiment.
It should be understood that the acquiring of the detected gas information of the target experiment area may be acquiring the detected gas information of the target experiment area by a preset gas sensor. Wherein the preset gas sensor can be preset at a preset position of the target experiment area by a user.
It is to be understood that the acquiring of the detection image information of the target experiment area may be acquiring of the detection image information of the target experiment area by a preset image pickup apparatus. The preset image pickup device can be preset at a preset position of the target experiment area by a user. For example, a monitor, a camera, etc., but the present embodiment is not limited thereto.
Step S50: and generating a danger detection result of the target experiment area according to the detection gas information, the target gas concentration threshold value table, the detection image information and the experiment project information.
It should be understood that generating the hazard detection result for the target experiment region from the detected gas information, the target gas concentration threshold table, the detection image information, and the experiment item information may be generating a gas detection result from the detected gas information and the target gas concentration threshold table, generating an image detection result from the detection image information and the experiment item information, and generating a hazard detection result for the target experiment region from the gas detection result and the image detection result.
Further, in order to improve the accuracy of an image detection result, the generating an image detection result according to the detection image information and the experimental item information includes:
determining current experimental equipment information and current experimental action information according to the detection image information, extracting information of the experimental project information to obtain standard experimental equipment information and standard experimental action information, matching the current experimental equipment information with the standard experimental equipment information to obtain an equipment matching result, matching the current experimental action information with the standard experimental action information to obtain an action matching result, and generating an image detection result according to the equipment matching result and the action matching result.
In the first embodiment, a target experiment area and experiment project information are determined according to an experiment request, then an initial gas concentration threshold table of the target experiment area is updated according to the experiment project information to obtain a target gas concentration threshold table, and then a danger detection result of the target experiment area is generated according to the target gas concentration threshold table, the experiment project information, detection gas information of the target experiment area and detection image information; compared with the existing mode of determining laboratory environment information through gas detection information and temperature and humidity detection information and judging whether to carry out danger early warning according to the laboratory environment information, in the embodiment, a gas concentration threshold table for danger judgment is updated through experimental item information, so that the defect that false alarm is easy to occur when certain experimental items possibly generating dangerous gas are carried out in the prior art is overcome, the laboratory danger detection process can be optimized, and the requirement for dangerous detection in a complex laboratory is met.
Referring to fig. 3, fig. 3 is a schematic flow chart of a second embodiment of the laboratory risk detection method according to the present invention, and the second embodiment of the laboratory risk detection method according to the present invention is proposed based on the first embodiment shown in fig. 2.
In the second embodiment, the step S30 includes:
step S301: and determining experimental gas information according to the experimental project information, and determining the type of the experimental gas and the experimental gas discharge amount corresponding to the type of the experimental gas according to the experimental gas information.
The experimental gas information may be harmful gas information generated when an experimental item corresponding to the experimental item information is executed.
The test gas type may be a harmful gas type, and the test gas discharge amount corresponding to the test gas type may be a gas discharge amount corresponding to each harmful gas type.
It should be understood that the determination of the experimental gas type and the experimental gas emission amount corresponding to the experimental gas type according to the experimental gas information may be the information extraction of the experimental gas information to obtain the experimental gas type and the experimental gas emission amount corresponding to the experimental gas type.
Step S302: and acquiring regional volume information of the target experiment region, and determining the standard gas concentration according to the regional volume information and the experiment gas emission amount.
It should be noted that the region volume information may be a volume value of the target experiment region, which is not limited in this embodiment.
It should be understood that the determination of the standard gas concentration from the zone volume information and the amount of the test gas purge may be a division of the amount of the test gas purge by a zone volume value to obtain the standard gas concentration.
Step S303: and adjusting the initial gas concentration threshold value table according to the standard gas concentration and the experimental gas type to obtain a target gas concentration threshold value table.
It can be understood that the adjusting of the initial gas concentration threshold table according to the standard gas concentration and the experimental gas type may be to look up an initial gas concentration threshold corresponding to the experimental gas type in the initial gas concentration threshold table, add a preset value to the standard gas concentration to obtain a standard gas concentration threshold, and modify the initial gas concentration threshold to the standard gas concentration threshold to obtain a target gas concentration threshold table. Wherein the preset value is preset by a user.
In a second embodiment, experimental gas information is determined according to the experimental project information, an experimental gas type and an experimental gas emission amount corresponding to the experimental gas type are determined according to the experimental gas information, zone volume information of the target experimental zone is acquired, a standard gas concentration is determined according to the zone volume information and the experimental gas emission amount, and the initial gas concentration threshold value table is adjusted according to the standard gas concentration and the experimental gas type to acquire a target gas concentration threshold value table; in this embodiment, the experimental gas type and the experimental gas emission amount corresponding to the experimental gas type are determined by the experimental project information, and the initial gas concentration threshold table is adjusted according to the regional volume information of the target experimental region, the experimental gas type, and the experimental gas emission amount corresponding to the experimental gas type, so as to obtain the target gas concentration threshold table, thereby improving the reliability and accuracy of the target gas concentration table.
In the second embodiment, the step S50 includes:
step S501: and generating a gas detection result according to the detected gas information and the target gas concentration threshold table.
It should be understood that, generating a gas detection result according to the detected gas information and the target gas concentration threshold table may be extracting information from the detected gas information, obtaining a detected gas type and a detected gas concentration corresponding to the detected gas type, traversing a gas concentration threshold in the target gas concentration threshold table, taking the traversed gas concentration threshold as a current gas concentration threshold, when matching is successful, determining whether the detected gas concentration corresponding to the detected gas type is greater than the current gas concentration threshold, obtaining a determination result, and after traversing the gas concentration threshold, generating a gas detection result according to the determination result.
Step S502: and generating an image detection result according to the detection image information and the experimental project information.
It can be understood that, the generating of the image detection result according to the detection image information and the experiment item information may be determining current experiment action information according to the detection image information, extracting information of the experiment item information to obtain standard experiment action information, and matching the current experiment action information with the standard experiment action information to obtain the image detection result.
It should be understood that matching the current experimental motion information with the standard experimental motion information to obtain the image detection result may be matching the similarity between the current experimental motion and the standard experimental motion to obtain the motion similarity, and determining whether the motion similarity is greater than a preset threshold, where the image detection result is determined to be normal when the motion similarity is greater than the preset threshold, and the image detection result is determined to be abnormal when the motion similarity is less than or equal to the preset threshold. The preset threshold may be preset by a user, and in this embodiment, 70% is taken as an example for description.
Further, considering that the image detection result is generated only according to the experimental motion information, the accuracy of the image detection result is poor. In order to overcome the above defect, the generating an image detection result according to the detection image information and the experimental item information includes:
determining current experimental equipment information and current experimental action information according to the detection image information, extracting information of the experimental project information to obtain standard experimental equipment information and standard experimental action information, matching the current experimental equipment information with the standard experimental equipment information to obtain an equipment matching result, matching the current experimental action information with the standard experimental action information to obtain an action matching result, and generating an image detection result according to the equipment matching result and the action matching result.
Step S503: and generating a danger detection result of the target experiment area according to the gas detection result and the image detection result.
It should be understood that generating the danger detection result of the target experiment region according to the gas detection result and the image detection result may be determining that the danger detection result is that no danger exists when the gas detection result is normal and the image detection result is normal; and when the gas detection result is abnormal or the image detection result is abnormal, judging that the danger detection result is dangerous.
Further, in order to improve reliability of a danger detection result, the generating a danger detection result of the target experiment area according to the gas detection result and the image detection result includes:
determining a first score according to the gas detection result, generating a second score according to the image detection result, searching for a first weight value corresponding to the gas detection result, searching for a second weight value corresponding to the image detection result, generating a total score according to the first score, the first weight value, the second score and the second weight value, and generating a danger detection result of the target experiment area according to the total score.
It should be understood that the determination of the first score based on the gas detection result may be to take a preset score as the first score when the gas detection result is normal. The preset score may be preset by a user, and is described in this embodiment by taking 0 as an example. And when the gas detection result is abnormal, determining a gas concentration difference value according to the detected gas concentration and the current gas concentration threshold value, and determining a first score according to the gas concentration difference value.
It is to be understood that determining the first score from the gas concentration difference may be taking the gas concentration difference as the first score; the first score may also be obtained by multiplying the gas concentration difference by a preset value. The preset value may be preset by a user, which is not limited in this embodiment.
It should be understood that generating the second score value according to the image detection result may be taking a preset score value as the second score value when the image detection result is normal. The preset score can be preset by a user, and is described in this embodiment by taking 0 as an example; and when the image detection result is abnormal, generating a second score according to the equipment matching result and the action matching result.
It should be noted that, the searching for the first weight value corresponding to the gas detection result may be searching for the first weight value corresponding to the gas detection result in a preset weight value table, where the preset weight value table includes a corresponding relationship between the gas detection result and the first weight value; the searching for the second weight value corresponding to the image detection result may be searching for the second weight value corresponding to the image detection result in a preset weight value table, where the preset weight value table includes a corresponding relationship between the image detection result and the second weight value, and a corresponding relationship between the gas detection result and the first weight value and a corresponding relationship between the image detection result and the second weight value may be preset by a user, which is not limited in this embodiment.
It should be understood that generating the total score according to the first score, the first weight value, the second score, and the second weight value may be calculating the total score according to a preset score calculation formula according to the first score, the first weight value, the second score, and the second weight value, wherein the preset score calculation formula is as follows:
M＝m1×n1+m2×n2
wherein M is the total score, M1Is a first score, n1Is a first weight value, m2Is the second score, n2Is the second weight value.
It should be understood that, the generating of the risk detection result of the target experiment area according to the total score may be determining whether the total score is greater than a preset score, and determining that the risk detection result is a risk when the total score is greater than the preset score; and when the total score is less than or equal to the preset score, judging that the danger detection result is that no danger exists.
In the second embodiment, a gas detection result is generated from the detected gas information and the target gas concentration threshold table, an image detection result is generated from the detected image information and the experiment item information, and a danger detection result of the target experiment area is generated from the gas detection result and the image detection result, so that a danger detection result of the target experiment area can be automatically generated.
Referring to fig. 4, fig. 4 is a schematic flow chart of a third embodiment of the laboratory risk detection method according to the present invention, and the third embodiment of the laboratory risk detection method according to the present invention is proposed based on the second embodiment shown in fig. 3.
In a third embodiment, the step S501 includes:
step S5011: and extracting the information of the detection gas to obtain the type of the detection gas and the concentration of the detection gas corresponding to the type of the detection gas.
It should be understood that the information extraction of the detected gas information, the obtaining of the detected gas type and the detected gas concentration corresponding to the detected gas type may be a feature extraction of the detected gas information, an information feature, and a determination of the detected gas type and the detected gas concentration corresponding to the detected gas type according to the information feature.
Step S5012: traversing the gas concentration threshold in the target gas concentration threshold table, and taking the traversed gas concentration threshold as the current gas concentration threshold.
It is to be understood that traversing the gas concentration thresholds in the target gas concentration threshold table may be randomly traversing the gas concentration thresholds in the target gas concentration threshold table; the gas concentration threshold values in the target gas concentration threshold value table may also be traversed according to a preset storage sequence of the target gas concentration threshold value table, where the preset storage sequence may be a storage sequence of the stored gas concentration threshold values, and this embodiment does not limit this.
Step S5013: and searching the gas category corresponding to the current gas concentration threshold value, and matching the gas category with the detected gas category.
It should be understood that looking up the gas class corresponding to the current gas concentration threshold may be looking up the gas class corresponding to the current gas concentration threshold in a preset class table. The preset type table includes a corresponding relationship between a gas concentration threshold and a gas type, and the corresponding relationship between the gas concentration threshold and the gas type may be preset by a user, which is not limited in this embodiment.
Step S5014: and when the matching is successful, judging whether the detected gas concentration corresponding to the detected gas type is greater than the current gas concentration threshold value or not, and obtaining a judgment result.
It is to be understood that, when the matching fails, the step of traversing the gas concentration thresholds in the target gas concentration threshold table is returned until the gas concentration threshold traversal is finished.
Step S5015: and after traversing the gas concentration threshold, generating a gas detection result according to the judgment result.
It is understood that when the detected gas concentration corresponding to the detected gas category is greater than the current gas concentration threshold, it indicates that the harmful gas concentration in the target experiment area exceeds the gas concentration threshold.
It should be understood that generating the gas detection result according to the determination result may be determining that the gas detection result is abnormal when the detected gas concentration corresponding to the detected gas type is greater than the current gas concentration threshold; and when the detected gas concentration corresponding to the detected gas type is less than or equal to the current gas concentration threshold value, judging that the gas detection result is normal.
In a third embodiment, information extraction is performed on the detected gas information to obtain a detected gas type and a detected gas concentration corresponding to the detected gas type, a gas concentration threshold in the target gas concentration threshold table is traversed, the traversed gas concentration threshold is used as a current gas concentration threshold, when matching is successful, whether the detected gas concentration corresponding to the detected gas type is greater than the current gas concentration threshold is judged, a judgment result is obtained, and after the traversal of the gas concentration threshold is completed, a gas detection result is generated according to the judgment result, so that whether the gas concentration of each type of detected gas exceeds the gas concentration threshold can be judged one by one, and a corresponding gas detection result is generated.
In a third embodiment, the step S502 includes:
step S5021: and determining the current experimental equipment information and the current experimental action information according to the detection image information.
It should be noted that, the current experimental device information may be experimental device information that is being used by an experimenter when performing a current experimental project, and includes experimental device model information, experimental device placement position information, and the like, which is not limited in this embodiment.
The current experimental action information can be human-shape analysis of the image of the experimenter in real time to obtain the current experimental action of the experimenter.
It should be understood that the determining of the current experimental equipment information and the current experimental motion information according to the detection image information may be analyzing the detection image information through a preset deep learning network to obtain the current experimental equipment information and the current experimental motion information. The preset deep learning network may be preset by a user, for example, a CNN network, and the like, which is not limited in this embodiment.
Further, in consideration of practical application, the image information is detected to have interference information. If the current experimental equipment information and the current experimental action information are directly determined according to the detection image information, the reliability of the current experimental equipment information and the current experimental action information is inevitably low. To overcome this drawback, the step S5021 includes:
determining a detection video according to the detection image information, and extracting key frames of the detection video to obtain key frame images;
preprocessing the key frame image to obtain an image to be analyzed;
carrying out image recognition on the image to be analyzed through a preset deep learning network to obtain a recognition result;
and determining the current experimental equipment information and the current experimental action information according to the identification result.
The key frame image may be a frame image corresponding to a case where a large change in a screen in the video is detected, and for example, a first frame image when a person enters the screen may be used as the key frame image.
It should be understood that, the preprocessing of the key frame image to obtain the image to be analyzed may be to perform graying processing on the key frame image first, and then perform denoising processing to obtain the image to be analyzed.
It should be noted that the preset deep learning network may be preset by a user, for example, a CNN network, and the present embodiment is not limited thereto.
Step S5022: and extracting information of the experimental project information to obtain standard experimental equipment information and standard experimental action information.
It should be noted that, the standard experimental equipment information may be standard experimental equipment normally used when performing an experimental project, and includes: the name of the experimental device, the placement position of the experimental device, etc., which are not limited in this embodiment.
The standard experiment action information may be a standard experiment action corresponding to a normal experiment project, which is not limited in this embodiment.
It should be understood that the extracting of the information of the experiment project to obtain the standard experiment equipment information and the standard experiment action information may be extracting the information of the experiment project to obtain the name of the experiment project, and looking up the standard experiment equipment information and the standard experiment action information corresponding to the name of the experiment project in a preset information table. The preset information table comprises the corresponding relation between the name of the experiment project and the standard experiment equipment information and the corresponding relation between the name of the experiment project and the standard experiment action information. The corresponding relationship between the experimental project name and the standard experimental equipment information and the corresponding relationship between the experimental project name and the standard experimental action information are preset by the user according to the experimental operation requirement, which is not limited in this embodiment.
Step S5023: and matching the current experimental equipment information with the standard experimental equipment information to obtain an equipment matching result.
It can be understood that, matching the current experimental equipment information with the standard experimental equipment information to obtain the equipment matching result may be matching the name of the current experimental equipment with the name of the standard experimental equipment to obtain a name matching result, and matching the placement position of the current experimental equipment with the placement position of the standard experimental equipment to obtain a position matching result.
It should be understood that when the name matching result is a successful match and the location matching result is a successful match, the equipment matching result is determined to be a successful match; and when the name matching result is matching failure or the position matching result is matching failure, judging that the equipment matching result is matching failure.
In a specific implementation, for example, by analyzing the monitoring video, A, B, C is obtained as the current experimental device of the experimenter, wherein the current experimental device placement position is that B is placed on C, and a is placed on B. And determining the name of an experimental project a according to an experimental request input by a user, determining that a standard experimental device corresponding to the experimental project a is B, C, D by searching a preset experimental information table, and the placement position of the standard experimental device is C and B. Name matching fails due to the experimenter mistakenly using the a equipment which does not exist in the standard experimental equipment, and location matching fails due to the experimenter mistakenly placing the C on the B. And finally, obtaining the matching result of the equipment as matching failure.
Step S5024: and matching the current experimental action information with the standard experimental action information to obtain an action matching result.
It should be understood that the matching of the current experimental motion information and the standard experimental motion information to obtain the motion matching result may be to match the similarity of the current experimental motion and the standard experimental motion to obtain the motion similarity, and determine whether the motion similarity is greater than a preset threshold, when the motion similarity is greater than the preset threshold, the successful matching is taken as the motion matching result, and when the motion similarity is less than or equal to the preset threshold, the failed matching is taken as the motion matching result. The preset threshold may be preset by a user, and in this embodiment, 70% is taken as an example for description.
Step S5025: and generating an image detection result according to the equipment matching result and the action matching result.
It can be understood that, the image detection result generated according to the equipment matching result and the action matching result may be that when the equipment matching result is successful and the action matching result is successful, the image detection result is determined to be normal; and when the equipment matching result is matching failure or the action matching result is matching failure, judging that the image detection result is abnormal.
In a third embodiment, current experimental equipment information and current experimental action information are determined according to the detected image information, information extraction is performed on the experimental project information to obtain standard experimental equipment information and standard experimental action information, the current experimental equipment information is matched with the standard experimental equipment information to obtain an equipment matching result, the current experimental action information is matched with the standard experimental action information to obtain an action matching result, and an image detection result is generated according to the equipment matching result and the action matching result; according to the embodiment, the image detection result is generated through the experiment equipment and the experiment action matching, so that the accuracy of the image detection result can be improved.
Referring to fig. 5, fig. 5 is a schematic flow chart of a fourth embodiment of the laboratory risk detection method according to the present invention, and a third embodiment of the laboratory risk detection method according to the present invention is proposed based on the first embodiment shown in fig. 2.
In the fourth embodiment, after the step S50, the method further includes:
step S60: and when the danger detection result indicates that danger exists, acquiring linkage alarm information of the target experiment area.
It should be noted that, in practical applications, when a fire, gas leakage, or other dangerous conditions occur in a laboratory, personnel in the laboratory can receive an alarm in time to evacuate quickly. However, the experimenters in experimental areas such as next door, same building, upstairs and downstairs cannot receive danger alarm in time, so that the evacuation is late, and casualties are caused. Linkage alarm information can be a plurality of experimental areas associated by a danger alarm system, when a certain experimental area gives out a danger alarm, other experimental areas associated with the certain experimental area can also receive the danger alarm at the same time, and the embodiment is not limited to this.
Step S70: and determining a linkage alarm area according to the linkage alarm information, and searching linkage alarm equipment corresponding to the linkage alarm area.
It should be understood that the linkage alarm device corresponding to the linkage alarm area may be searched in a preset device table. The preset device table includes a corresponding relationship between the linkage alarm area and the linkage alarm device, and the corresponding relationship between the linkage alarm area and the linkage alarm device may be input by a user in advance, which is not limited in this embodiment.
Step S80: and acquiring the regional position information of the target experiment region, and sending the regional position information and the danger detection result to the linkage alarm equipment.
It should be noted that the area location information may be location information of the target experiment area relative to a building where the target experiment area is located, which is not limited in this example.
It should be understood that, considering that the possible models of alarm devices in different experimental areas are different, in order to improve the adaptability of alarm information, the information display template corresponding to the linkage alarm device can be searched firstly before the linkage alarm device, the information display template is written with the regional position information and the dangerous detection result, the information to be displayed is obtained, and the information to be displayed is sent to the linkage alarm device, so that the linkage alarm device displays the information to be displayed, and the experimenters in the linkage alarm area are reminded to withdraw in time.
In a fourth embodiment, when the danger detection result indicates that a danger exists, linkage alarm information of the target experiment area is acquired, the linkage alarm area is determined according to the linkage alarm information, linkage alarm equipment corresponding to the linkage alarm area is searched, area position information of the target experiment area is acquired, and the area position information and the danger detection result are sent to the linkage alarm equipment, so that other experiment areas related to the target experiment area can be timely notified when the target experiment area is dangerous, and the situation that the other experiment areas cannot timely receive danger alarm, so that people are evacuated late and casualties are caused is avoided.
Furthermore, an embodiment of the present invention further provides a storage medium, where a laboratory risk detection program is stored, and when executed by a processor, the laboratory risk detection program implements the steps of the laboratory risk detection method described above.
In addition, referring to fig. 5, an embodiment of the present invention further provides a laboratory risk detection apparatus, including: the device comprises a determining module 10, a searching module 20, an adjusting module 30, an obtaining module 40 and a generating module 50;
the determining module 10 is configured to determine a target experiment area and experiment project information according to an experiment request when the experiment request is received.
It should be noted that the experiment request may include the name of the experiment project, the experiment location, the information of the experimenter, and the like, which is not limited in this embodiment.
It should be understood that the experiment request may be request information input by a user through a user interaction interface of the laboratory risk detection device, or may be request information input by the user through a terminal device that establishes a communication connection with the laboratory risk detection device in advance. The terminal device can be authorized by the user preset.
In particular implementations, for example, a user may enter a name of an experimental project, a location of an experiment, and information about laboratory personnel on a computer interface of a laboratory computer.
The user can set the mobile phone A as the authorization terminal device in the laboratory computer in advance, after the setting is completed, the user can input the name of the experimental project, the experimental place and the information of the experimenter through the mobile phone interface of the mobile phone A, and after the information input is completed, the laboratory computer receives the name of the experimental project, the experimental place and the information of the experimenter through modes such as 5G, 4G and WIFI.
The target experiment area may be a laboratory or a laboratory bench, and in this embodiment and the following embodiments, the laboratory is taken as an example for description.
The experimental project information may be the name of the experimental project, the information of the experimenter, and the like, which is not limited in this embodiment.
It can be understood that the determination of the target experiment region and the experiment project information according to the experiment request may be to extract the identifier of the experiment request, obtain the information identifier, classify the experiment request according to the information identifier, and obtain the target experiment region and the experiment project information. Wherein the information identifier may be information for identifying a kind of information.
The searching module 20 is configured to search an initial gas concentration threshold table corresponding to the target experiment region in a preset mapping table, where the preset mapping table includes a corresponding relationship between the target experiment region and the initial gas concentration threshold table.
It should be noted that the correspondence relationship between the target experiment region and the initial gas concentration threshold value table may be preset by a user, and this embodiment is not limited thereto.
It is to be understood that the initial gas concentration threshold value table contains the gas concentration threshold value of each harmful gas,
the adjusting module 30 is configured to adjust the initial gas concentration threshold table according to the experimental project information to obtain a target gas concentration threshold table.
It should be understood that the initial gas concentration threshold value table is adjusted according to the experimental item information, and the target gas concentration threshold value table is obtained by determining experimental gas information according to the experimental item information, determining an experimental gas type and an experimental gas emission amount corresponding to the experimental gas type according to the experimental gas information, obtaining zone volume information of the target experimental zone, determining a standard gas concentration according to the zone volume information and the experimental gas emission amount, and adjusting the initial gas concentration threshold value table according to the standard gas concentration and the experimental gas type to obtain the target gas concentration threshold value table.
The acquiring module 40 is configured to acquire detected gas information and detected image information of the target experiment area.
The detected gas information may include the type of the detected gas and the concentration of the detected gas corresponding to the type of the detected gas, which is not limited in this embodiment.
It should be understood that the acquiring of the detected gas information of the target experiment area may be acquiring the detected gas information of the target experiment area by a preset gas sensor. Wherein the preset gas sensor can be preset at a preset position of the target experiment area by a user.
It is to be understood that the acquiring of the detection image information of the target experiment area may be acquiring of the detection image information of the target experiment area by a preset image pickup apparatus. The preset image pickup device can be preset at a preset position of the target experiment area by a user. For example, a monitor, a camera, etc., but the present embodiment is not limited thereto.
The generating module 50 is configured to generate a danger detection result of the target experiment region according to the detected gas information, the target gas concentration threshold table, the detected image information, and the experiment item information.
It should be understood that generating the hazard detection result for the target experiment region from the detected gas information, the target gas concentration threshold table, the detection image information, and the experiment item information may be generating a gas detection result from the detected gas information and the target gas concentration threshold table, generating an image detection result from the detection image information and the experiment item information, and generating a hazard detection result for the target experiment region from the gas detection result and the image detection result.
Further, in order to improve the accuracy of the image detection result, the generating module 50 is further configured to determine current experimental equipment information and current experimental action information according to the detected image information, extract information of the experimental project information to obtain standard experimental equipment information and standard experimental action information, match the current experimental equipment information with the standard experimental equipment information to obtain an equipment matching result, match the current experimental action information with the standard experimental action information to obtain an action matching result, and generate the image detection result according to the equipment matching result and the action matching result.
In this embodiment, a target experiment region and experiment project information are determined according to an experiment request, then an initial gas concentration threshold table of the target experiment region is updated according to the experiment project information to obtain a target gas concentration threshold table, and then a danger detection result of the target experiment region is generated according to the target gas concentration threshold table, the experiment project information, detected gas information of the target experiment region and detected image information; compared with the existing mode of determining laboratory environment information through gas detection information and temperature and humidity detection information and judging whether to carry out danger early warning according to the laboratory environment information, in the embodiment, a gas concentration threshold table for danger judgment is updated through experimental item information, so that the defect that false alarm is easy to occur when certain experimental items possibly generating dangerous gas are carried out in the prior art is overcome, the laboratory danger detection process can be optimized, and the requirement for dangerous detection in a complex laboratory is met.
In an embodiment, the generating module 50 is further configured to generate a gas detection result according to the detected gas information and the target gas concentration threshold table, generate an image detection result according to the detected image information and the experiment item information, and generate a danger detection result of the target experiment area according to the gas detection result and the image detection result;
in an embodiment, the generating module 50 is further configured to extract information of the detected gas, obtain a detected gas type and a detected gas concentration corresponding to the detected gas type, traverse a gas concentration threshold in the target gas concentration threshold table, use the traversed gas concentration threshold as a current gas concentration threshold to find a gas type corresponding to the current gas concentration threshold, match the gas type with the detected gas type when matching is successful, determine whether the detected gas concentration corresponding to the detected gas type is greater than the current gas concentration threshold, and after the traversal of the gas concentration threshold is finished, obtain a determination result and generate a gas detection result according to the determination result;
in an embodiment, the generating module 50 is further configured to determine current experimental equipment information and current experimental action information according to the detected image information to perform information extraction on the experimental project information, obtain standard experimental equipment information and standard experimental action information to match the current experimental equipment information with the standard experimental equipment information, obtain an equipment matching result, match the current experimental action information with the standard experimental action information, obtain an action matching result, and generate an image detection result according to the equipment matching result and the action matching result;
in an embodiment, the generating module 50 is further configured to determine a detection video according to the detection image information, perform key frame extraction on the detection video, obtain a key frame image to preprocess the key frame image, obtain an image to be analyzed, perform image recognition on the image to be analyzed through a preset deep learning network, obtain a recognition result, and determine current experimental equipment information and current experimental action information according to the recognition result;
in an embodiment, the generating module 50 is further configured to determine a first score according to the gas detection result, generate a second score according to the image detection result, search for a first weight value corresponding to the gas detection result, search for a second weight value corresponding to the image detection result, generate a total score according to the first score, the first weight value, the second score, and the second weight value, and generate a risk detection result of the target experiment area according to the total score;
in an embodiment, the adjusting module 30 is further configured to determine experimental gas information according to the experimental project information, determine an experimental gas type according to the experimental gas information, and obtain area volume information of the target experimental area according to the experimental gas type and an experimental gas emission amount corresponding to the experimental gas type, and determine a standard gas concentration according to the area volume information and the experimental gas emission amount, and adjust the initial gas concentration threshold table according to the standard gas concentration and the experimental gas type, so as to obtain a target gas concentration threshold table.
Other embodiments or specific implementation manners of the laboratory risk detection device according to the present invention may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order, but rather the words first, second, third, etc. are to be interpreted as names.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g., a Read Only Memory (ROM)/Random Access Memory (RAM), a magnetic disk, an optical disk), and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A laboratory hazard detection method, comprising the steps of:
when an experiment request is received, determining a target experiment area and experiment project information according to the experiment request;
searching an initial gas concentration threshold value table corresponding to the target experiment region in a preset mapping relation table, wherein the preset mapping relation table comprises the corresponding relation between the target experiment region and the initial gas concentration threshold value table;
adjusting the initial gas concentration threshold value table according to the experimental project information to obtain a target gas concentration threshold value table;
acquiring the detected gas information and the detected image information of the target experiment area;
and generating a danger detection result of the target experiment area according to the detection gas information, the target gas concentration threshold value table, the detection image information and the experiment project information.
2. The laboratory hazard detection method according to claim 1, wherein said step of generating a hazard detection result for said target experimental region based on said detected gas information, said target gas concentration threshold table, said detected image information and said experimental item information specifically comprises:
generating a gas detection result according to the detected gas information and the target gas concentration threshold table;
generating an image detection result according to the detection image information and the experimental project information;
and generating a danger detection result of the target experiment area according to the gas detection result and the image detection result.
3. The laboratory hazard detection method of claim 2, wherein said step of generating a gas detection result based on said detected gas information and said target gas concentration threshold table specifically comprises:
extracting information of the detected gas to obtain the type of the detected gas and the concentration of the detected gas corresponding to the type of the detected gas;
traversing the gas concentration threshold in the target gas concentration threshold table, and taking the traversed gas concentration threshold as the current gas concentration threshold;
searching the gas type corresponding to the current gas concentration threshold value, and matching the gas type with the detected gas type;
when the matching is successful, judging whether the detected gas concentration corresponding to the detected gas type is greater than the current gas concentration threshold value or not, and obtaining a judgment result;
and after traversing the gas concentration threshold, generating a gas detection result according to the judgment result.
4. The laboratory hazard detection method according to claim 2, wherein the step of generating an image detection result from the detection image information and the experimental item information specifically comprises:
determining current experimental equipment information and current experimental action information according to the detection image information;
extracting information of the experimental project information to obtain standard experimental equipment information and standard experimental action information;
matching the current experimental equipment information with the standard experimental equipment information to obtain an equipment matching result;
matching the current experimental action information with the standard experimental action information to obtain an action matching result;
and generating an image detection result according to the equipment matching result and the action matching result.
5. The laboratory hazard detection method of claim 4, wherein said step of determining current experimental equipment information and current experimental motion information from said detected image information specifically comprises:
determining a detection video according to the detection image information, and extracting key frames of the detection video to obtain key frame images;
preprocessing the key frame image to obtain an image to be analyzed;
carrying out image recognition on the image to be analyzed through a preset deep learning network to obtain a recognition result;
and determining the current experimental equipment information and the current experimental action information according to the identification result.
6. The laboratory hazard detection method of any one of claims 1 to 5, wherein after said step of generating a hazard detection result for said target test area based on said test gas information, said target gas concentration threshold table, said test image information, and said test item information, said laboratory hazard detection method further comprises:
when the danger detection result indicates that danger exists, acquiring linkage alarm information of the target experiment area;
determining a linkage alarm area according to the linkage alarm information, and searching linkage alarm equipment corresponding to the linkage alarm area;
and acquiring the regional position information of the target experiment region, and sending the regional position information and the danger detection result to the linkage alarm equipment.
7. The laboratory hazard detection method according to any one of claims 1 to 5, wherein said step of adjusting said initial gas concentration threshold table according to said experimental project information to obtain a target gas concentration threshold table specifically comprises:
determining experimental gas information according to the experimental project information, and determining experimental gas types and experimental gas discharge amounts corresponding to the experimental gas types according to the experimental gas information;
acquiring regional volume information of the target experiment region, and determining standard gas concentration according to the regional volume information and the experimental gas emission;
and adjusting the initial gas concentration threshold value table according to the standard gas concentration and the experimental gas type to obtain a target gas concentration threshold value table.
8. A laboratory hazard detection apparatus, comprising: a memory, a processor and a laboratory risk detection program stored on the memory and executable on the processor, the laboratory risk detection program when executed by the processor implementing the steps of the laboratory risk detection method according to any one of claims 1 to 7.
9. A storage medium having stored thereon a laboratory risk detection program which, when executed by a processor, implements the steps of the laboratory risk detection method according to any one of claims 1 to 7.
10. A laboratory hazard detection device, comprising: the device comprises a determining module, a searching module, an adjusting module, an obtaining module and a generating module;
the determining module is used for determining a target experiment area and experiment project information according to an experiment request when the experiment request is received;
the searching module is used for searching an initial gas concentration threshold value table corresponding to the target experiment region in a preset mapping relation table, and the preset mapping relation table comprises the corresponding relation between the target experiment region and the initial gas concentration threshold value table;
the adjusting module is used for adjusting the initial gas concentration threshold value table according to the experimental project information to obtain a target gas concentration threshold value table;
the acquisition module is used for acquiring the detected gas information and the detected image information of the target experiment area;
and the generating module is used for generating a danger detection result of the target experiment area according to the detection gas information, the target gas concentration threshold value table, the detection image information and the experiment item information.
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Application publication date: 20210601