CN116320323A - Event detection method based on edge calculation - Google Patents
Event detection method based on edge calculation Download PDFInfo
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- CN116320323A CN116320323A CN202310542660.1A CN202310542660A CN116320323A CN 116320323 A CN116320323 A CN 116320323A CN 202310542660 A CN202310542660 A CN 202310542660A CN 116320323 A CN116320323 A CN 116320323A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses an event detection method based on edge calculation, which relates to the technical field of event detection, and comprises the following steps of firstly, collecting information of oiling machines in a gas station and carrying out monitoring arrangement; step two, collecting information of safety equipment in the gas station and monitoring and arranging the information; step three, monitoring the area in the safety range of the gas station, wherein the monitoring is divided into personnel monitoring and environment monitoring; judging the dangerous level, and selecting whether to alarm or not; step five, acquiring dangerous behavior pictures or videos of gas station personnel; step six, processing the accident by dividing the safety equipment; step seven, acquiring the feasibility behaviors of in-station personnel in the gas station for handling dangerous events; and step eight, acquiring a safety grade index of the gas station, and perfecting safety information. The invention can better assist the information perfection of the safety management of the follow-up gas station, and has effective auxiliary guarantee effect on the social safety.
Description
Technical Field
The invention relates to the technical field of event detection, in particular to an event detection method based on edge calculation.
Background
Edge computing refers to that an open platform integrating network, computing, storage and application core capabilities is adopted at one side close to an object or data source, nearest service is provided nearby, an automobile gas station is a place for adding fuel to an automobile, safety of the automobile gas station needs to be guaranteed, the field related to development of the edge computing is more and more at present, and the edge computing is also helpful in event detection on the gas station.
The prior art has the following defects: in the behavior detection of the gas station, key prompt cannot be carried out on some dangerous behavior statistics, good warning effect is not achieved, the overall safety degree of the gas station is difficult to judge, effective safety training management cannot be carried out in the safety management process, available safety equipment is difficult to select nearby for use due to the tension of personnel after unexpected events occur, and good auxiliary effect is not achieved.
Disclosure of Invention
The invention aims to provide an event detection method based on edge calculation, which aims to solve the defects in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: an event detection method based on edge calculation comprises the following steps:
step one, collecting information of oiling machines in a gas station and monitoring and arranging the information;
step two, collecting information of safety equipment in the gas station and monitoring and arranging the information;
step three, monitoring the area in the safety range of the gas station, wherein the monitoring is divided into personnel monitoring and environment monitoring;
judging the dangerous level, and selecting whether to alarm or not;
step five, acquiring dangerous behavior pictures or videos of gas station personnel
Step six, processing the accident by dividing the safety equipment;
step seven, acquiring the feasibility behaviors of in-station personnel in the gas station for handling dangerous events;
and step eight, acquiring a safety grade index of the gas station, and perfecting safety information.
In a preferred embodiment, in step one,
constructing an area model in the safety range of the gas station;
collecting the position of the oiling machine, and further numbering the oiling machine to form the identity of the oiling machine;
arranging monitoring according to the identity of the oiling machine to form an oiling machine monitoring item, wherein the oiling machine monitoring item monitors the oiling machine body and the periphery of the oiling machine;
the identity of the fuel dispenser and the monitoring item of the fuel dispenser are built into an area model within the safe range of the fuel station.
In a preferred embodiment, in step two,
collecting the position of safety equipment in a gas station, numbering the safety equipment, and dividing the safety equipment according to the position radiation range of the oiling machine to form the identity of the safety equipment;
arranging monitoring according to the positions of the safety devices to form safety device monitoring items, wherein the safety device monitoring items monitor the safety devices and the periphery of the safety devices;
the identity of the safety equipment and the monitoring item of the safety equipment are built into an area model in the safety range of the gas station together.
In a preferred embodiment, in step three,
the personnel monitoring is used for monitoring the behaviors of target personnel, and the personnel monitoring aims at the personnel and mobile personnel in the target station;
collecting and storing identity information of personnel in the station to form personnel management items in the station;
items monitored for personnel in the station are: monitoring on duty status, dangerous behavior and wearing;
the items monitored for the flow personnel are: dangerous behavior;
predicting the abnormality of the items monitored by the personnel in the station based on the edge calculation, carrying out early warning prompt aiming at the abnormality, collecting images of the abnormal items of the personnel in the station at the same time, and storing the images into the personnel management items in the station to form abnormal information of the personnel in the station;
the method comprises the steps of monitoring the behaviors of mobile personnel based on edge calculation, judging whether the predicted dangerous behaviors are dangerous behaviors, carrying out early warning prompt if the predicted dangerous behaviors are dangerous behaviors, collecting images of the dangerous behaviors made by the mobile personnel, and forming abnormal messages of the mobile personnel according to information of the collected images of the mobile personnel, wherein the information comprises facial images, body shapes, clothes and license plate numbers driven by the mobile personnel.
In a preferred embodiment, in step four,
acquiring monitoring images and videos of unexpected places in real time, judging whether casualties exist and articles are damaged, marking the grades of the articles existing in the fueling station places, classifying the articles through a management end, wherein the articles are simple articles and valuables respectively, and collecting images and identifying and summarizing the articles by one or two of a safety equipment monitoring item and a fueling machine monitoring item;
judging alarm processing when casualties or valuables are damaged, packaging causal videos and images acquired in an accident, and transmitting the causal videos and images to police officers;
judging that no alarm processing exists when no casualties exist or valuables are damaged;
and acquiring the development trend of the accident in real time, and immediately alarming when the antagonism trend is smaller than the development trend according to the comparison of the development trend and the antagonism trend, wherein the antagonism trend is larger than the development trend, and not alarming when the duration of the antagonism trend is equal to the duration exceeding the time limit of the management end, and alarming.
In a preferred embodiment, in step five,
acquiring dangerous behavior information of personnel in a station and dangerous behavior information of mobile personnel;
transmitting dangerous behavior images of personnel in the station to a management end for storage;
transmitting dangerous behavior images of mobile personnel to a management end for storage;
and storing dangerous behavior images and videos of personnel in the station, and forming a safety warning item in the station.
In a preferred embodiment, in step six,
acquiring the position of the current accident, and corresponding the position of the current accident to the region model in the safe range of the gas station, so as to obtain the position of the accident in the region model in the safe range of the gas station;
and (3) obtaining safety equipment in the radiation range through the position where the accident occurs in the regional model in the safety range of the gas station, immediately responding and buzzing the flash prompt corresponding to the safety equipment in the radiation range according to the accident type, and taking the safety equipment in other ranges as the flash prompt.
In a preferred embodiment, in step seven,
acquiring a reaction operation video of personnel in a station when an unexpected event occurs;
whether personnel in the collection station take the safety equipment to carry out accidental rescue according to the buzzing flashing light prompt of the safety equipment;
the method comprises the steps of collecting the reaction time and the flow operation sequence of a safety device taken by a person in a station, judging the accuracy of the flow operation sequence, and further obtaining a feasibility behavior index, wherein the calculation formula is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for feasibility behavioural index->
For the reaction time, +.>
E is the feasibility behavior coefficient for the number of errors in the sequence of flow operations.
In a preferred embodiment, in step eight,
setting a management period, and acquiring the times of historical accidents and the times of alarms in the management period;
the historical accident event comprises a human factor event and an environmental factor event, so that a security grade index of the gas station is obtained, and the calculation formula is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the filling station security class index +.>
For the number of human factor events in the management period, +.>
For the number of environmental factor events in the management period, +.>
For the number of alarms in the management period.
In the technical scheme, the invention has the technical effects and advantages that:
1. the invention can better carry out important prompt and system management on dangerous behaviors in the gas station, and can avoid the occurrence of such events again to a greater extent; the comprehensive safety condition of the gas station can be known according to the safety grade index, better auxiliary management personnel can know the safety management condition of the gas station, the information of the subsequent safety management of the gas station can be better assisted, and an effective auxiliary guarantee effect is provided for social safety;
2. the invention can lead personnel to quickly respond to take the safety equipment to fight against the unexpected event, has better prompting performance, can not select the safety equipment at a far position because of the stress and the urgent need facing the unexpected event, can inhibit the development process of the unexpected event more timely, avoid missing the optimal inhibition period, can better carry out remediation treatment, and reduce the danger of the event.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In embodiment 1, referring to fig. 1, the event detection method based on edge calculation in this embodiment includes the following steps:
step one, collecting information of oiling machines in a gas station and monitoring and arranging the information;
1. constructing an area model in the safety range of the gas station;
2. collecting the position of the oiling machine, and further numbering the oiling machine to form the identity of the oiling machine;
3. arranging monitoring according to the identity of the oiling machine to form an oiling machine monitoring item, wherein the oiling machine monitoring item monitors the oiling machine body and the periphery of the oiling machine;
4. the method comprises the steps that an identity of an oiling machine and an oiling machine monitoring item are built into an area model in a safe range of a gas station together;
step two, collecting information of safety equipment in the gas station and monitoring and arranging the information;
1. collecting the position of safety equipment in a gas station, numbering the safety equipment, dividing the safety equipment according to the radiation range of the position of the oiling machine (the radiation range is a range which is near the oiling machine and can efficiently control the safety equipment), and forming the identity of the safety equipment;
2. arranging monitoring according to the positions of the safety devices to form safety device monitoring items, wherein the safety device monitoring items monitor the safety devices and the periphery of the safety devices;
3. the identity of the safety equipment and the monitoring item of the safety equipment are built into an area model in the safety range of the gas station together;
step three, monitoring the area in the safety range of the gas station, wherein the monitoring is divided into personnel monitoring and environment monitoring;
the personnel monitoring is used for monitoring the behaviors of target personnel, and the personnel monitoring aims at the personnel and mobile personnel in the target station;
collecting and storing identity information (the collection of the identity information comprises names, contact information, facial images, posts and home addresses) of the personnel in the station to form personnel management items in the station;
items monitored for personnel in the station are: monitoring on duty status, dangerous behavior and wearing;
the items monitored for the flow personnel are: dangerous behavior;
the fueling station site is provided with various sensors for monitoring possible dangerous factors in the site, such as a flue gas sensor, a temperature sensor and other information acquisition devices;
predicting the abnormality of the items monitored by the personnel in the station based on the edge calculation, carrying out early warning prompt aiming at the abnormality, collecting images of the abnormal items of the personnel in the station at the same time, and storing the images into the personnel management items in the station to form abnormal information of the personnel in the station;
monitoring the behavior of the mobile personnel based on edge calculation, judging whether the predicted behavior is dangerous behavior, carrying out early warning prompt if the predicted behavior is dangerous behavior, collecting images of the dangerous behavior of the mobile personnel at the same time, and forming abnormal information of the mobile personnel by collecting the images of the mobile personnel, wherein the information of the images comprises facial images, body shapes, clothes and license plate numbers driven by the mobile personnel;
judging the dangerous level, and selecting whether to alarm or not;
1. acquiring monitoring images and videos of unexpected places in real time, judging whether casualties exist and articles are damaged, marking the grades of the articles existing in the fueling station places, classifying the articles through a management end, wherein the articles are simple articles and valuables respectively, and collecting images and identifying and summarizing the articles by one or two of a safety equipment monitoring item and a fueling machine monitoring item;
1.1, judging that casualties exist or valuables are damaged, namely, alarming, packaging causal videos and images acquired in an accident, and transmitting the causal videos and images to police officers (the causal videos and images are videos and images of reasons, fermentation processes and results of the accident);
1.2, judging that no alarm processing exists when no casualties exist or valuables are damaged;
2. acquiring the development trend of the accident in real time, and according to the comparison of the development trend (development progress of the situation) and the countermeasure trend (operation of countermeasure the development of the situation, namely, a remedial effect), immediately alarming when the countermeasure trend is smaller than the development trend, wherein the countermeasure trend is larger than the development trend, not alarming, and alarming when the duration of the countermeasure trend is equal to the duration of the development trend beyond the time limit of the management end;
step five, acquiring dangerous behavior pictures or videos of gas station personnel;
1. acquiring dangerous behavior information of personnel in a station and dangerous behavior information of mobile personnel;
2. transmitting dangerous behavior images of personnel in the station to a management end for storage, and displaying cases by the management end in a training process by indicating dangerous behaviors in a targeted manner to form dangerous situation avoidance case display;
3. transmitting dangerous behavior images of mobile personnel to a management end for storage, and making a dangerous warning notice board of a site by the management end to prompt the mobile personnel to form dangerous situation poster prompt case display;
the dangerous behavior in the gas station can be better subjected to important prompt and system management, and the occurrence of the event again can be avoided to a greater extent;
4. storing dangerous behavior images and videos of personnel in the station, and forming a safety warning item in the station;
step six, processing the accident by dividing the safety equipment;
1. acquiring the position of the current accident, and corresponding the position of the current accident to the region model in the safe range of the gas station, so as to obtain the position of the accident in the region model in the safe range of the gas station;
2. the safety equipment in the radiation range is obtained through the position where the accident occurs in the regional model in the safety range of the gas station, the corresponding safety equipment in the radiation range is immediately responded and buzzing flashing light is prompted according to the accident type, and the safety equipment in other ranges are used as the flashing light prompt;
the safety device can enable personnel to quickly react to take the safety device to fight against the unexpected event, inhibit the development process of the unexpected event more timely, avoid missing the optimal inhibition period, better remedy the process and reduce the risk of the event.
Step seven, acquiring the feasibility behaviors of in-station personnel in the gas station for handling dangerous events;
1. acquiring a reaction operation video of personnel in a station when an unexpected event occurs;
2. whether personnel in the collection station take the safety equipment to carry out accidental rescue according to the buzzing flashing light prompt of the safety equipment;
3. the method comprises the steps of collecting the reaction time (time from occurrence of an event to taking remedial implementation) and the flow operation sequence of a safety device taken by a person in a station, judging the accuracy of the flow operation sequence, and further obtaining a feasibility behavior index, wherein the calculation formula is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for feasibility behavioural index->
For the reaction time, +.>
For the number of errors in the sequence of operations of the flow, e is the feasibility coefficient, it is to be noted that +.>
And->
The greater the value of +.>
The smaller the value of (c), i.e. the worse the operation of the feasibility behaviour of the personnel in the station, i.e. the worse the handling capacity for the accident;
the processing reaction condition facing the unexpected event of the personnel in the station can be known, and the method has better guiding and auxiliary effects for subsequent training of the personnel in the station;
step eight, acquiring a safety grade index of the gas station, and perfecting safety information;
1. setting a management period, and acquiring the times of historical accidents and the times of alarms in the management period;
2. the historical accident event comprises a human factor event and an environmental factor event, so that a security grade index of the gas station is obtained, and the calculation formula is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
for the filling station security class index +.>
For the number of human factor events in the management period, +.>
For the number of environmental factor events in the management period, +.>
For the number of alarms in the management period, it is to be noted that +.>
And->
And +.>
The greater the number of ++>
The larger the value of the index representing the security level is, the lower the security of the gas station is, and the security management is not in place;
the comprehensive safety condition of the gas station can be known according to the safety grade index, better auxiliary management personnel can know the safety management condition of the gas station, the information of the safety management of the subsequent gas station can be better assisted, and the social safety is effectively assisted and guaranteed.
In embodiment 2, referring to fig. 1, the dangerous behavior occurring in the gas station can be better emphasized and managed, so that the occurrence of such events again can be avoided to a greater extent, the personnel can quickly respond to the taking safety device to fight against the unexpected event, the development process of the unexpected event can be more timely restrained, the optimal restraining period is avoided to be missed, the remediation process can be better performed, and the danger of the event is reduced; the comprehensive safety condition of the gas station can be known according to the safety grade index, better auxiliary management personnel can know the safety management condition of the gas station, the information of the safety management of the subsequent gas station can be better assisted, and the social safety is effectively assisted and guaranteed.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. An event detection method based on edge calculation is characterized by comprising the following steps:
step one, collecting information of oiling machines in a gas station and monitoring and arranging the information;
step two, collecting information of safety equipment in the gas station and monitoring and arranging the information;
step three, monitoring the area in the safety range of the gas station, wherein the monitoring is divided into personnel monitoring and environment monitoring;
judging the dangerous level, and selecting whether to alarm or not;
step five, acquiring dangerous behavior pictures or videos of gas station personnel;
step six, processing the accident by dividing the safety equipment;
step seven, acquiring the feasibility behaviors of in-station personnel in the gas station for handling dangerous events;
and step eight, acquiring a safety grade index of the gas station, and perfecting safety information.
2. The edge-computing-based event detection method of claim 1, wherein: in a first step of the process, the process is carried out,
constructing an area model in the safety range of the gas station;
collecting the position of the oiling machine, and further numbering the oiling machine to form the identity of the oiling machine;
arranging monitoring according to the identity of the oiling machine to form an oiling machine monitoring item, wherein the oiling machine monitoring item monitors the oiling machine body and the periphery of the oiling machine;
the identity of the fuel dispenser and the monitoring item of the fuel dispenser are built into an area model within the safe range of the fuel station.
3. The edge-computing-based event detection method of claim 2, wherein: in the second step of the process, the first step,
collecting the position of safety equipment in a gas station, numbering the safety equipment, and dividing the safety equipment according to the position radiation range of the oiling machine to form the identity of the safety equipment;
arranging monitoring according to the positions of the safety devices to form safety device monitoring items, wherein the safety device monitoring items monitor the safety devices and the periphery of the safety devices;
the identity of the safety equipment and the monitoring item of the safety equipment are built into an area model in the safety range of the gas station together.
4. The edge-computing-based event detection method of claim 1, wherein: in the third step of the process, the process is carried out,
the personnel monitoring is used for monitoring the behaviors of target personnel, and the personnel monitoring aims at the personnel and mobile personnel in the target station;
collecting and storing identity information of personnel in the station to form personnel management items in the station;
items monitored for personnel in the station are: monitoring on duty status, dangerous behavior and wearing;
the items monitored for the flow personnel are: dangerous behavior;
predicting the abnormality of the items monitored by the personnel in the station based on the edge calculation, carrying out early warning prompt aiming at the abnormality, collecting images of the abnormal items of the personnel in the station at the same time, and storing the images into the personnel management items in the station to form abnormal information of the personnel in the station;
the method comprises the steps of monitoring the behaviors of mobile personnel based on edge calculation, judging whether the predicted dangerous behaviors are dangerous behaviors, carrying out early warning prompt if the predicted dangerous behaviors are dangerous behaviors, collecting images of the dangerous behaviors made by the mobile personnel, and forming abnormal information of the mobile personnel by collecting the images of the mobile personnel, wherein the information of the images comprises facial images, figures, clothes and license plate numbers driven by the mobile personnel.
5. The edge-computing-based event detection method of claim 1, wherein: in the fourth step of the process, the process is carried out,
acquiring monitoring images and videos of unexpected places in real time, judging whether casualties exist and articles are damaged, marking the grades of the articles existing in the fueling station places, classifying the articles through a management end, wherein the articles are simple articles and valuables respectively, and collecting images and identifying and summarizing the articles by one or two of a safety equipment monitoring item and a fueling machine monitoring item;
judging alarm processing when casualties or valuables are damaged, packaging causal videos and images acquired in an accident, and transmitting the causal videos and images to police officers;
judging that no alarm processing exists when no casualties exist or valuables are damaged;
and acquiring the development trend of the accident in real time, and immediately alarming when the antagonism trend is smaller than the development trend according to the comparison of the development trend and the antagonism trend, wherein the antagonism trend is larger than the development trend, and not alarming when the duration of the antagonism trend is equal to the duration exceeding the time limit of the management end, and alarming.
6. The edge-computing-based event detection method of claim 1, wherein: in a fifth step of the process, the process is carried out,
acquiring dangerous behavior information of personnel in a station and dangerous behavior information of mobile personnel;
transmitting dangerous behavior images of personnel in the station to a management end for storage;
transmitting dangerous behavior images of mobile personnel to a management end for storage;
and storing dangerous behavior images and videos of personnel in the station, and forming a safety warning item in the station.
7. A method of edge-based event detection as claimed in claim 3, wherein: in a sixth step, the process is carried out,
acquiring the position of the current accident, and corresponding the position of the current accident to the region model in the safe range of the gas station, so as to obtain the position of the accident in the region model in the safe range of the gas station;
and (3) obtaining safety equipment in the radiation range through the position where the accident occurs in the regional model in the safety range of the gas station, immediately responding and buzzing the flash prompt corresponding to the safety equipment in the radiation range according to the accident type, and taking the safety equipment in other ranges as the flash prompt.
8. The edge-computing-based event detection method of claim 1, wherein: in a seventh step of the process,
acquiring a reaction operation video of personnel in a station when an unexpected event occurs;
whether personnel in the collection station take the safety equipment to carry out accidental rescue according to the buzzing flashing light prompt of the safety equipment;
the method comprises the steps of collecting the reaction time and the flow operation sequence of a safety device taken by a person in a station, judging the accuracy of the flow operation sequence, and further obtaining a feasibility behavior index, wherein the calculation formula is as follows:
wherein (1)>
For feasibility behavioural index->
For the reaction time, +.>
E is the feasibility behavior coefficient for the number of errors in the sequence of flow operations.
9. The edge-computing-based event detection method of claim 8, wherein: in the step eight of the method, in the step eight,
setting a management period, and acquiring the times of historical accidents and the times of alarms in the management period;
the historical accident event comprises a human factor event and an environmental factor event, so that a security grade index of the gas station is obtained, and the calculation formula is as follows:
wherein (1)>
For the filling station security class index +.>
For the number of human factor events in the management period, +.>
For the number of environmental factor events in the management period, +.>
For the number of alarms in the management period. />
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