CN110852248A - Flammable and explosive area illegal equipment based on machine vision and action monitoring method - Google Patents

Flammable and explosive area illegal equipment based on machine vision and action monitoring method Download PDF

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Publication number
CN110852248A
CN110852248A CN201911082905.7A CN201911082905A CN110852248A CN 110852248 A CN110852248 A CN 110852248A CN 201911082905 A CN201911082905 A CN 201911082905A CN 110852248 A CN110852248 A CN 110852248A
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equipment
flammable
forbidden
area
explosive
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朱清
华文博
朱晓斌
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Jiangsu Hongran Intelligent Technology Co Ltd
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Jiangsu Hongran Intelligent Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

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  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
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  • Development Economics (AREA)
  • Computer Security & Cryptography (AREA)
  • Human Resources & Organizations (AREA)
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  • General Business, Economics & Management (AREA)
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  • Alarm Systems (AREA)

Abstract

The invention relates to a combustible and explosive area forbidden device and an action monitoring method based on machine vision, which are characterized in that a real-time video of a monitoring area is obtained in real time through a camera device, image information acquired at preset time intervals when a sensitive area in the monitoring area is changed is subjected to forbidden device detection and forbidden action detection, so that a corresponding alarm level and corresponding prevention measures are determined, the life safety of workers in the combustible and explosive area and the equipment use safety of the working area are ensured, meanwhile, relevant detection information and prompt information are sent to a user after the user leaves the combustible and explosive area, and the user is included in a dangerous user list of the combustible and explosive area, so that the user is prompted to improve the warning degree for the user to visit next time after the user enters the combustible and explosive area after the attention of the user enters the combustible and explosive area next time, the safety of the site of the flammable and combustible area is ensured.

Description

Flammable and explosive area illegal equipment based on machine vision and action monitoring method
Technical Field
The invention belongs to the technical field of safety monitoring, and particularly relates to flammable and explosive area forbidden equipment based on machine vision and an action monitoring method.
Background
The flammable and explosive areas have corresponding safety requirements for entering personnel, for example, in the prior art, when a user enters a gas station to refuel, measures such as prohibition of smoking of the user, prohibition of using a telephone of the user and the like are often required, along with improvement of the living standard of modern people, continuous development of automobile sales, lease and driving training services, the number of people with vehicles is continuously increased, the gas station has certain openness, the quality of personnel entering the gas station cannot be effectively controlled, the safety requirements are difficult to implement, potential safety hazards of the user inside the gas station due to carelessness, lack of consciousness, terrorism implementation and the like are increased year by year, and huge potential hazards are caused to the life safety of the user at the gas station and the use safety of refueling equipment of the gas station.
Disclosure of Invention
In order to overcome the defects and shortcomings in the prior art, the invention provides flammable and combustible area forbidden equipment based on machine vision and an action monitoring method.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a flammable and combustible region forbidden device and action monitoring method based on machine vision is characterized in that: the method comprises the following steps:
1) installing a camera device in the flammable and explosive area, and keeping the camera device in signal connection with a video processing center;
2) setting a sensitive area in a monitoring area of a camera device, and acquiring image information of the sensitive area once every preset time when the sensitive area changes;
3) sending the image information into an equipment identification module in a video processing center for identifying used equipment, acquiring used equipment data in the image information, and comparing the used equipment data with a preset forbidden equipment list to determine whether the forbidden equipment exists in the image information; when the forbidden equipment exists, the video processing center controls the alarm device to send out forbidden equipment alarm and displays corresponding forbidden equipment alarm information on the display device;
4) sending the image information into a gesture recognition module in a video processing center for human body gesture recognition, acquiring gesture data of a preset part of a human body, and comparing the gesture data with a preset forbidden action model to determine whether forbidden actions exist in the image information; when the forbidden action exists, the video processing center controls the alarm device to send out forbidden action alarm and displays corresponding forbidden action alarm information on the display device;
5) the video processing center performs the following corresponding control modes on the inflammable and explosive areas according to the detection results of the equipment identification module and the gesture identification module:
when the equipment identification module detects that the image information contains forbidden equipment and the gesture identification module detects that the image information contains forbidden actions, the alarm level of the alarm device is increased, meanwhile, workers in the flammable and explosive area are timely notified to stop the fire-fighting equipment in the flammable and explosive area, and the fire-fighting equipment in the flammable and explosive area is adjusted to be in a standby state;
when the equipment identification module detects that forbidden equipment exists in the image information and the gesture identification module does not detect that forbidden actions exist in the image information, the equipment identification module timely informs workers in the flammable and explosive area of stopping before the workers and adjusts the fire-fighting equipment in the flammable and explosive area to be in a standby state;
when the equipment identification module does not detect that forbidden equipment exists in the image information and the gesture identification module detects that forbidden actions exist in the image information, the equipment identification module timely informs workers in the flammable and explosive area of stopping before the workers and adjusts the fire-fighting equipment in the flammable and explosive area to be in a standby state;
6) after the alarm is relieved, when the situation that a user with forbidden equipment or forbidden actions leaves the flammable and explosive area for preset time is detected, the standby state of the fire fighting equipment in the flammable and explosive area is relieved, meanwhile, relevant detection information and prompt information are sent to the user, and the user is brought into a dangerous user list of the flammable and explosive area.
Further, the sensitive area in the step 2) is determined by workers of inflammable and explosive areas according to historical experience.
Further, the sensitive area in the step 2) is determined by staff in the inflammable and explosive area according to the frequency of the alarm at each position in the inflammable and explosive area.
Further, in the sensitive area in the step 2), the staff in the inflammable and explosive area determines the initial position according to historical experience, and then determines the corrected position according to the frequency of the alarm at each position in the inflammable and explosive area.
Further, the forbidden device list preset in the step 3) at least comprises a mobile phone, a lighter and matches.
Further, the forbidden device lists preset in the step 3) are ordered according to the danger degree of the inflammable and explosive areas.
Further, the forbidden action models preset in the step 4) at least include action models of a palm, a forearm, a rear arm, a head, a foot and a leg of the human body.
Further, the detected posture of the human body is compared with preset motion models of the palm, the forearm, the rear arm, the head, the foot and the leg of the human body according to a preset comparison priority order in the step 4).
Further, the comparison priority order preset in the step 4) is determined according to the operation difficulty of the palm, the forearm, the hind arm, the head, the foot and the leg of the human body on the forbidden device, and the lower the operation difficulty, the higher the ranking.
Further, each time the user triggers the alarm device to sound, the alarm frequency of the corresponding user in the dangerous user list of the flammable and explosive area is +1, and in the step 6), the dangerous users in the dangerous user list of the flammable and explosive area are sorted from top to bottom according to the corresponding alarm frequency of the user.
The invention has the beneficial effects that:
(1) the method comprises the steps of acquiring real-time video of a monitored area in real time through a camera device, detecting image information acquired at preset time intervals when a sensitive area in the monitored area changes through forbidden equipment and forbidden action, determining corresponding alarm level and corresponding prevention and prevention measures so as to ensure life safety of field workers in the flammable and explosive area and equipment use safety of the working area, sending relevant detection information and prompt information to a user after the user leaves the flammable and explosive area, and bringing the user into a dangerous user list of the flammable and explosive area, thereby prompting the user to improve the warning degree for the next visit of the flammable and explosive area after reminding the user of attention items entering the flammable and explosive area on the one hand, the safety of the site of the flammable and combustible area is ensured.
Drawings
Fig. 1 is a flowchart illustrating steps of a flammable and explosive area violation device and an action monitoring method according to the present invention.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic views illustrating only the basic structure of the present invention in a schematic manner, and thus show only the constitution related to the present invention.
As shown in fig. 1, a flammable and combustible region forbidden device and action monitoring method based on machine vision is characterized in that: the method comprises the following steps:
1) installing a camera device in the flammable and explosive area, and keeping the camera device in signal connection with a video processing center;
2) setting a sensitive area in a monitoring area of a camera device, and acquiring image information of the sensitive area once every preset time when the sensitive area changes;
3) sending the image information into an equipment identification module in a video processing center for identifying used equipment, acquiring used equipment data in the image information, and comparing the used equipment data with a preset forbidden equipment list to determine whether the forbidden equipment exists in the image information; when the forbidden equipment exists, the video processing center controls the alarm device to send out forbidden equipment alarm and displays corresponding forbidden equipment alarm information on the display device;
4) sending the image information into a gesture recognition module in a video processing center for human body gesture recognition, acquiring gesture data of a preset part of a human body, and comparing the gesture data with a preset forbidden action model to determine whether forbidden actions exist in the image information; when the forbidden action exists, the video processing center controls the alarm device to send out forbidden action alarm and displays corresponding forbidden action alarm information on the display device;
5) the video processing center performs the following corresponding control modes on the inflammable and explosive areas according to the detection results of the equipment identification module and the gesture identification module:
when the equipment identification module detects that the image information contains forbidden equipment and the gesture identification module detects that the image information contains forbidden actions, the alarm level of the alarm device is increased, meanwhile, workers in the flammable and explosive area are timely notified to stop the fire-fighting equipment in the flammable and explosive area, and the fire-fighting equipment in the flammable and explosive area is adjusted to be in a standby state;
when the equipment identification module detects that forbidden equipment exists in the image information and the gesture identification module does not detect that forbidden actions exist in the image information, the equipment identification module timely informs workers in the flammable and explosive area of stopping before the workers and adjusts the fire-fighting equipment in the flammable and explosive area to be in a standby state;
when the equipment identification module does not detect that forbidden equipment exists in the image information and the gesture identification module detects that forbidden actions exist in the image information, the equipment identification module timely informs workers in the flammable and explosive area of stopping before the workers and adjusts the fire-fighting equipment in the flammable and explosive area to be in a standby state;
6) after the alarm is relieved, when the situation that a user with forbidden equipment or forbidden actions leaves the flammable and explosive area for preset time is detected, the standby state of the fire fighting equipment in the flammable and explosive area is relieved, meanwhile, relevant detection information and prompt information are sent to the user, and the user is brought into a dangerous user list of the flammable and explosive area.
Specifically, the sensitive area in step 2) is determined by the staff in the flammable and explosive area according to historical experience, and the staff can determine a specific place where flammable and explosive dangers often occur according to the historical experience of the staff, for example, the position near a fuel tank, a fuel filling pipe and the like in a gas station is used as the sensitive area.
Specifically, in the sensitive area in step 2), the staff in the flammable and explosive area determines according to the frequency of the occurrence of the alarm at each position in the flammable and explosive area, a specific flammable and explosive area can be used as an experimental object, the times of occurrence of flammable and explosive dangers in each area in the flammable and explosive area are collected, sequencing is performed according to the times of occurrence of flammable and explosive dangers, and the area with the front ranking positions is set as the sensitive area, so that the potential safety hazard of the flammable and explosive area is effectively prevented and prevented.
Specifically, in the sensitive area in step 2), the initial position is determined by the staff in the flammable and explosive area according to historical experience, and then the corrected position is determined according to the frequency of the alarm at each position in the flammable and explosive area, so that the staff with abundant experience can determine the approximate initial position first, and then the initial position is corrected according to the frequency of the alarm at each position in the flammable and explosive area, thereby ensuring the accurate division of the sensitive area and further saving the time for determining the sensitive area.
Specifically, the forbidden device list preset in the step 3) at least comprises a mobile phone, a lighter and matches, so that the hidden danger that the use of the open fire and the electronic device may cause the safety of an inflammable and explosive area is avoided.
Specifically, the forbidden device lists preset in step 3) are ordered according to the degree of risk of the flammable and explosive regions, for example, when the forbidden device lists include a mobile phone, a lighter and matches, the forbidden device lists can be ordered into the lighter (producing open fire and explosive), the match (producing open fire) and the mobile phone (being inflammable by electromagnetic radiation) according to the degree of risk of the flammable and explosive regions, so that the devices contained in the image information are sequentially compared with the forbidden device lists in the lists, and forbidden devices with the largest potential safety hazards are gradually eliminated.
Specifically, the forbidden action models preset in the step 4) at least include action models of a palm, a forearm, a rear arm, a head, a foot and a leg of the human body, so that the accuracy of human posture recognition is improved by detecting actions of all parts of the human body.
Specifically, the detected posture of the human body is compared with preset motion models of the palm, the forearm, the rear arm, the head, the foot and the leg of the human body according to a preset comparison priority sequence in the step 4); preferably, the comparison priority order preset in step 4) is determined according to the operation difficulty of the palm, the forearm, the rear arm, the head, the feet and the legs of the human body on the forbidden device, and the lower the operation difficulty is, the higher the ranking is, so that when the action of the part of the human body with the lower operation difficulty on the forbidden device is matched with the preset forbidden action, the detected posture of the human body is considered to belong to the forbidden action, and corresponding early warning measures are taken, so that the prevention and the prevention of the potential safety hazard are realized as early as possible.
Specifically, the user rings once when triggering the alarm device, and +1 is included in the corresponding user alarm times in the list of dangerous users in the flammable and explosive area, in step 6), the dangerous users in the list of dangerous users in the flammable and explosive area are sorted from top to bottom according to the corresponding user alarm times, so that on one hand, after prompting the user to enter the attention of the flammable and explosive area next time, the alarm degree is also improved for the user to visit next time in the flammable and explosive area, and the safety of the site of the flammable and explosive area is ensured.
In light of the foregoing description of the preferred embodiment of the present invention, many modifications and variations will be apparent to those skilled in the art without departing from the spirit and scope of the invention. The technical scope of the present invention is not limited to the content of the specification, and must be determined according to the scope of the claims.

Claims (10)

1. A flammable and combustible region forbidden device and action monitoring method based on machine vision is characterized in that: the method comprises the following steps:
1) installing a camera device in the flammable and explosive area, and keeping the camera device in signal connection with a video processing center;
2) setting a sensitive area in a monitoring area of a camera device, and acquiring image information of the sensitive area once every preset time when the sensitive area changes;
3) sending the image information into an equipment identification module in a video processing center for identifying used equipment, acquiring used equipment data in the image information, and comparing the used equipment data with a preset forbidden equipment list to determine whether the forbidden equipment exists in the image information; when the forbidden equipment exists, the video processing center controls the alarm device to send out forbidden equipment alarm and displays corresponding forbidden equipment alarm information on the display device;
4) sending the image information into a gesture recognition module in a video processing center for human body gesture recognition, acquiring gesture data of a preset part of a human body, and comparing the gesture data with a preset forbidden action model to determine whether forbidden actions exist in the image information; when the forbidden action exists, the video processing center controls the alarm device to send out forbidden action alarm and displays corresponding forbidden action alarm information on the display device;
5) the video processing center performs the following corresponding control modes on the inflammable and explosive areas according to the detection results of the equipment identification module and the gesture identification module:
when the equipment identification module detects that the image information contains forbidden equipment and the gesture identification module detects that the image information contains forbidden actions, the alarm level of the alarm device is increased, meanwhile, workers in the flammable and explosive area are timely notified to stop the fire-fighting equipment in the flammable and explosive area, and the fire-fighting equipment in the flammable and explosive area is adjusted to be in a standby state;
when the equipment identification module detects that forbidden equipment exists in the image information and the gesture identification module does not detect that forbidden actions exist in the image information, the equipment identification module timely informs workers in the flammable and explosive area of stopping before the workers and adjusts the fire-fighting equipment in the flammable and explosive area to be in a standby state;
when the equipment identification module does not detect that forbidden equipment exists in the image information and the gesture identification module detects that forbidden actions exist in the image information, the equipment identification module timely informs workers in the flammable and explosive area of stopping before the workers and adjusts the fire-fighting equipment in the flammable and explosive area to be in a standby state;
6) after the alarm is relieved, when the situation that a user with forbidden equipment or forbidden actions leaves the flammable and explosive area for preset time is detected, the standby state of the fire fighting equipment in the flammable and explosive area is relieved, meanwhile, relevant detection information and prompt information are sent to the user, and the user is brought into a dangerous user list of the flammable and explosive area.
2. The flammable and combustible region illegal equipment and action monitoring method based on machine vision is characterized in that: the sensitive area in the step 2) is determined by the staff in the inflammable and explosive area according to historical experience.
3. The flammable and combustible region illegal equipment and action monitoring method based on machine vision is characterized in that: and 2) determining the sensitive area in the step 2) by the staff of the inflammable and explosive area according to the frequency of the alarm at each position in the inflammable and explosive area.
4. The flammable and combustible region illegal equipment and action monitoring method based on machine vision is characterized in that: in the sensitive area in the step 2), the staff in the inflammable and explosive area firstly determines the initial position according to historical experience, and then determines the corrected position according to the alarm occurrence frequency of each position in the inflammable and explosive area.
5. The flammable and combustible region illegal equipment and action monitoring method based on machine vision is characterized in that: the forbidden device list preset in the step 3) at least comprises a mobile phone, a lighter and matches.
6. The flammable and combustible region illegal equipment and action monitoring method based on machine vision according to claim 5, characterized in that: and 3) sequencing the forbidden equipment lists preset in the step 3) according to the danger degree of the inflammable and explosive areas.
7. The flammable and combustible region illegal equipment and action monitoring method based on machine vision is characterized in that: the forbidden action models preset in the step 4) at least comprise action models of palms, forearms, hind arms, heads, feet and legs of the human body.
8. The flammable and combustible region illegal equipment and action monitoring method based on machine vision according to claim 7, characterized in that: and in the step 4), the detected human body posture is compared with the preset motion models of the palm, the forearm, the rear arm, the head, the foot and the leg of the human body according to the preset comparison priority sequence.
9. The flammable and combustible region illegal equipment and action monitoring method based on machine vision according to claim 8, characterized in that: the comparison priority order preset in the step 4) is determined according to the operation difficulty of the actions of the palm, the front arm, the rear arm, the head, the feet and the legs of the human body on forbidden equipment, and the lower the operation difficulty, the higher the ranking.
10. The flammable and combustible region illegal equipment and action monitoring method based on machine vision is characterized in that: and (3) each time the user triggers the alarm device to sound, in the corresponding user alarm times in the dangerous user list of the inflammable and explosive area, the +1, in the step 6), the dangerous users in the dangerous user list of the inflammable and explosive area are sequenced from top to bottom according to the corresponding user alarm times.
CN201911082905.7A 2019-11-07 2019-11-07 Flammable and explosive area illegal equipment based on machine vision and action monitoring method Pending CN110852248A (en)

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CN111553329A (en) * 2020-06-14 2020-08-18 深圳天海宸光科技有限公司 Gas station intelligent safety processing system and method based on machine vision
CN113628370A (en) * 2021-08-05 2021-11-09 国家核安保技术中心 Intelligent protection channel control system for electronic equipment

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CN204731927U (en) * 2015-04-13 2015-10-28 中国石油化工股份有限公司 Portable inflammable and explosive region fire operation hazards monitoring prior-warning device
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Publication number Priority date Publication date Assignee Title
CN111553329A (en) * 2020-06-14 2020-08-18 深圳天海宸光科技有限公司 Gas station intelligent safety processing system and method based on machine vision
CN113628370A (en) * 2021-08-05 2021-11-09 国家核安保技术中心 Intelligent protection channel control system for electronic equipment
CN113628370B (en) * 2021-08-05 2022-06-24 国家核安保技术中心 Intelligent protection channel control system for electronic equipment

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Application publication date: 20200228