CN115131935A - Alarm system for preventing entrance into dangerous area - Google Patents

Alarm system for preventing entrance into dangerous area Download PDF

Info

Publication number
CN115131935A
CN115131935A CN202211043770.5A CN202211043770A CN115131935A CN 115131935 A CN115131935 A CN 115131935A CN 202211043770 A CN202211043770 A CN 202211043770A CN 115131935 A CN115131935 A CN 115131935A
Authority
CN
China
Prior art keywords
area
personnel
dangerous
unit
dangerous area
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211043770.5A
Other languages
Chinese (zh)
Inventor
李茂龙
高超
孙成岱
刘成安
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong Qianyi Technology Co ltd
Original Assignee
Shandong Qianyi Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shandong Qianyi Technology Co ltd filed Critical Shandong Qianyi Technology Co ltd
Priority to CN202211043770.5A priority Critical patent/CN115131935A/en
Publication of CN115131935A publication Critical patent/CN115131935A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/24Reminder alarms, e.g. anti-loss alarms
    • 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
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • 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
    • G08B13/19608Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Emergency Management (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Business, Economics & Management (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Alarm Systems (AREA)

Abstract

The invention relates to the technical field of alarm systems, in particular to a dangerous area entrance-prevention alarm system which comprises a camera monitoring unit, a dangerous area range planning unit and a path trend judging unit. The walking path of the walking personnel is analyzed through the path trend judging unit, the probability that the walking personnel which do not enter the dangerous area will enter the dangerous area can be judged in advance, the walking personnel which do not enter the dangerous area and exceed a certain probability are identified, the personnel identifying unit which enter the dangerous area keeps track of the walking personnel which do not enter the dangerous area in advance, the camera monitoring unit is continuously aligned with the walking personnel which do not enter the dangerous area, when the walking personnel which do not enter the dangerous area, the personnel information can be immediately identified through the facial features and verified, the response speed of the alarm system is improved, the personnel which do not belong to the people which can be allowed to enter the dangerous area can be immediately prevented from entering the dangerous area, and the occurrence of accidents is reduced.

Description

Dangerous area anti-entry alarm system
Technical Field
The invention relates to the technical field of alarm systems, in particular to a dangerous area entry prevention alarm system.
Background
In the industrial production process, because the production region is different, the corresponding security performance is also different, to an industrial production assembly line, just including equipment drive division, operation position, equipment overlap joint position etc. and these equipment ends are either in secret state, have some unable data of publishing, or be in high speed operation state or be in high temperature state itself, and the staff once contacts, will cause the incident or data leak, so to these regions, generally can set up monitoring alarm system for stop the walking personnel in time and approach.
Most of existing monitoring alarm systems adopt a camera to monitor in real time, when walking personnel appear in a dangerous area in a monitoring picture, an alarm can be given, the process needs a certain time, the walking personnel already contact with an equipment end after receiving the alarm, the walking personnel cannot leave the equipment end, safety accidents are easily caused, and therefore the dangerous area anti-entering alarm system is needed urgently.
Disclosure of Invention
The invention aims to provide a danger area entrance-prevention alarm system to solve the problems in the background technology.
In order to achieve the purpose, the system comprises a camera monitoring unit, wherein the camera monitoring unit is used for monitoring and processing personnel walking in a monitored area, the output end of the camera monitoring unit is connected with a dangerous area range planning unit, the dangerous area range planning unit is used for planning the dangerous area range of the monitored area and dividing the boundary of the dangerous area and a normal area, the output end of the dangerous area range planning unit is connected with a path trend judging unit, the path trend judging unit is used for judging the later walking trend of the walking personnel who do not enter the dangerous area, the output end of the path trend judging unit is connected with a personnel identification unit for entering the dangerous area, the personnel identification unit for entering the dangerous area identifies the face of the personnel in the dangerous area, and the input end of the personnel identification unit for entering the dangerous area is connected with an identity authentication personnel database, the system comprises an identity authentication personnel database, an identity authentication personnel database and an alarm response unit, wherein the identity authentication personnel database stores personnel identity information and facial features which can allow people to enter a dangerous area, the output end of the identity authentication personnel database is connected with an identity verification unit, the input end of the identity verification unit is connected with the output end of a personnel identification unit which can enter the dangerous area, the identity verification unit is used for comparing the faces of the people in the dangerous area under the current state according to the personnel identity information and the facial features which can allow the people to enter the dangerous area, judging whether the people are the people who can allow the people to enter the dangerous area or not is carried out, judgment information is generated, the output end of the identity verification unit is connected with the alarm response unit, and the alarm response unit sends out an alarm and closes equipment in the dangerous area or sends out a normal signal according to the judgment information result.
As a further improvement of the technical solution, the hazardous area planning unit includes a monitoring area determining module, an output end of the monitoring area determining module is connected to an equipment end position determining module, the equipment end position determining module is configured to determine a position of an equipment end in a monitoring area, an output end of the equipment end position determining module is connected to a contact equipment end area determining module, and the contact equipment end area determining module is configured to determine, according to the position of the equipment end in the monitoring area, an area where a walker can touch the equipment end, and use the area as a hazardous area.
As a further improvement of the technical solution, the output end of the contact device end region determining module is connected with a dangerous region reference point determining module, and the dangerous region reference point determining module obtains a boundary between the dangerous region and the normal region according to the determination of the dangerous region, and finds a reference point within the boundary.
As a further improvement of the technical scheme, the output end of the camera monitoring unit is connected with the input end of the identity authentication personnel database, and the camera monitoring unit is used for recording new face information of personnel who can be allowed to enter a dangerous area and updating the face information of the personnel who can be allowed to enter the dangerous area, which is stored in the identity authentication personnel database.
As a further improvement of the technical scheme, the personnel identification unit entering the dangerous personnel area comprises a facial orientation judgment module, the facial orientation judgment module is used for judging the facial orientation of personnel in the dangerous area, the output end of the facial orientation judgment module is connected with a facial feature point identification module, the facial feature point identification module is used for extracting facial feature points of monitored personnel, and the output end of the facial feature point identification module is connected with a facial identification information output module.
As a further improvement of the technical solution, the path trend determination unit adopts a path trend determination algorithm, and an algorithm formula of the path trend determination algorithm is as follows:
Figure 245168DEST_PATH_IMAGE001
wherein A is the set of routes which can be followed by the walker who does not enter the dangerous area,
Figure 743145DEST_PATH_IMAGE002
to is that
Figure DEST_PATH_IMAGE003
For each route that a walker who does not enter the hazard area may follow, n is the sum of all predicted routes, B is the set of routes that can reach the hazard area,
Figure 577109DEST_PATH_IMAGE004
to
Figure DEST_PATH_IMAGE005
M is the sum of total routes that can reach the dangerous area, C represents a route that coincides with each route that can reach the dangerous area among the routes that can be followed by a walker who does not enter the dangerous area,
Figure 527748DEST_PATH_IMAGE006
to
Figure DEST_PATH_IMAGE007
For each of the coinciding paths, f is the sum of the coinciding paths,
Figure 472570DEST_PATH_IMAGE008
the probability that the pedestrian who does not enter the danger area will enter the danger area next.
As a further improvement of the technical solution, the input end of the path trend determination unit is connected with the output end of the identity authentication personnel database.
As a further improvement of the technical solution, an output end of the path trend judging unit is connected with a dangerous path personnel identifying unit, the dangerous path personnel identifying unit is used for determining a path which reaches a dangerous area in a one-way manner, the path has no branch and can only reach the dangerous area, the dangerous path personnel identifying unit identifies personnel on the path in advance, and an output end of the dangerous path personnel identifying unit is connected with an input end of the identity verifying unit.
As a further improvement of the technical solution, the output end of the dangerous path personnel identification unit is connected with a data storage unit, the data storage unit is used for storing information of a path which is determined to arrive at a dangerous area in a single direction, and the output end of the data storage unit is connected with the input end of the identity verification unit.
Compared with the prior art, the invention has the following beneficial effects:
1. in this danger area prevents getting into alarm system, through route trend judgement unit analysis walking personnel walking route, can judge the probability that the walking personnel that do not get into the danger area will get into the danger area in advance, and carry out the sign to the walking personnel that do not get into the danger area that exceed certain probability, get into danger personnel regional personnel identification unit and attend to this walking personnel that do not get into the danger area in advance, the monitoring unit that makes a video recording is continuously aimed at this moment this walking personnel that do not get into the danger area, after this walking personnel that do not get into the danger area, can be immediately through this personnel's information of facial feature recognition, and verify this personnel's information, improve alarm system response speed, prevent promptly that do not belong to the personnel that can allow to get into the danger area and get into the danger area, reduce the emergence of accident.
2. In the dangerous area entering prevention alarm system, the dangerous area reference point determining module is used for determining the dangerous area, obtaining the boundary between the dangerous area and the normal area and finding the reference point in the boundary, when a walking person passes through the reference point, the walking person can be judged to enter the dangerous area as long as the walking person and the reference point contact pictures appear in the monitoring process regardless of the angle of the monitoring point, so that the alarm occurrence efficiency is improved, the equipment end is closed in a short time, and the walking person is warned to withdraw in time.
3. In the dangerous area entry prevention alarm system, the dangerous path personnel identification unit determines a path which reaches the dangerous area in a single direction, the path is not branched and can only reach the dangerous area, the path is specified as a dangerous path, when walking personnel appear on the path, the walking personnel face information is directly identified through the dangerous path personnel identification unit, the walking personnel face information is transmitted to the identity verification unit to be verified, whether the walking personnel belong to personnel which can be allowed to enter the dangerous area or not is judged, and therefore when the walking personnel reach the dangerous area through the dangerous path, early warning can be made in advance, and response efficiency is improved.
Drawings
FIG. 1 is an overall flow chart of the present invention;
FIG. 2 is a flow chart of a hazardous area planning unit of the present invention;
fig. 3 is a flow chart of a person identification unit entering a dangerous person area according to the present invention.
The various reference numbers in the figures mean:
10. a camera monitoring unit;
20. a dangerous area range planning unit; 210. a monitoring range area determination module; 220. a device end position determination module; 230. a contact device end region determination module; 240. a dangerous area reference point determining module;
30. a path trend judgment unit;
40. entering a dangerous person area personnel identification unit; 410. a face orientation determination module; 420. a facial feature point identification module; 430. a face recognition information output module;
50. an identity authenticator database;
60. an identity verification unit;
70. an alarm response unit;
80. a dangerous path person identification unit;
90. and a data storage unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1 to 3, an entry-prevention alarm system for a dangerous area is provided, which includes a camera monitoring unit 10, the camera monitoring unit 10 is configured to monitor and process the walking staff in the monitored area, an output end of the camera monitoring unit 10 is connected to a dangerous area range planning unit 20, the dangerous area range planning unit 20 is configured to plan the dangerous area range of the monitored area and divide the boundary between the dangerous area and the normal area, an output end of the dangerous area range planning unit 20 is connected to a path trend determining unit 30, the path trend determining unit 30 is configured to determine the walking trend of the walking staff who does not enter the dangerous area in the later period, an output end of the path trend determining unit 30 is connected to a staff identification unit 40 for entering the dangerous area, the staff identification unit 40 for entering the dangerous area identifies the faces of the staff in the dangerous area, the input end of the personnel identification unit 40 entering the dangerous area is connected with an identity authentication personnel database 50, the identity authentication personnel database 50 stores the identity information and facial features of personnel allowed to enter the dangerous area, the output end of the identity authentication personnel database 50 is connected with an identity verification unit 60, the input end of the identity verification unit 60 is connected with the output end of the personnel identification unit 40 entering the dangerous area, the identity verification unit 60 is used for comparing the face of the personnel in the dangerous area under the current state according to the identity information and facial features of the personnel allowed to enter the dangerous area to judge whether the personnel are the personnel allowed to enter the dangerous area or not and generate judgment information, the output end of the identity verification unit 60 is connected with an alarm response unit 70, and the alarm response unit 70 gives an alarm and closes equipment in the dangerous area according to the judgment information result, or send a normal signal.
When the system is used, the camera monitoring unit 10 monitors and processes the walking personnel in the monitored area, identifies the facial features of the walking personnel, generates monitoring information, transmits the monitoring information to the dangerous area range planning unit 20, the dangerous area range planning unit 20 plans the dangerous area range of the monitored area, divides the boundary between the dangerous area and the normal area, when the walking personnel in the monitored area cross the boundary, the walking personnel is located in the dangerous area, the path trend judging unit 30 judges the later walking trend of the walking personnel who do not enter the dangerous area, predicts whether the walking personnel who do not enter the dangerous area will pass through the dangerous area next time, judges the probability that the walking personnel who do not enter the dangerous area will enter the dangerous area according to the trend judging information, sets a probability threshold value, and identifies the walking personnel who exceed the probability threshold value, generating trend judgment information and transmitting the trend judgment information to a personnel identification unit 40 entering a dangerous area, when a walking person of the identification crosses a threshold, the personnel identification unit 40 entering the dangerous area identifies the face of the walking person exceeding a probability threshold, generating face information of the walking person in the current dangerous area, transmitting the face information of the walking person in the current dangerous area to an identity verification unit 60, storing the identity information and face characteristics of the person allowed to enter the dangerous area in an identity authentication personnel database 50, transmitting the identity information and face characteristics of the person allowed to enter the dangerous area to the identity verification unit 60, comparing the face of the person in the current dangerous area by the identity verification unit 60, judging whether the person in the current dangerous area belongs to the person allowed to enter the dangerous area, and generating the identity judgment information of the personnel in the dangerous area, and transmits the identity judgment information of the personnel in the dangerous area to the alarm response unit 70, the alarm response unit 70 sends an alarm and closes the equipment in the dangerous area according to the judgment information result, and the personnel in the dangerous area belongs to the personnel allowed to enter the dangerous area, and sends a normal signal to allow the personnel to enter the dangerous area, in the present invention, the walking path of the walking personnel is analyzed by the path trend judgment unit 30, the probability that the walking personnel not entering the dangerous area will enter the dangerous area can be judged in advance, the walking personnel not entering the dangerous area exceeding a certain probability are identified, the personnel identification unit 40 entering the dangerous area keeps track of the walking personnel not entering the dangerous area in advance, and the camera monitoring unit 10 is continuously aimed at the walking personnel not entering the dangerous area, when the walking personnel who do not enter the dangerous area, the personnel information can be immediately identified through the facial features and verified, the response speed of the alarm system is improved, the personnel who do not belong to the dangerous area and can be allowed to enter the dangerous area can be immediately prevented from entering the dangerous area, and the occurrence of accidents is reduced.
In addition, the dangerous area range planning unit 20 includes a monitoring range area determining module 210, an output end of the monitoring range area determining module 210 is connected to an equipment end position determining module 220, the equipment end position determining module 220 is configured to determine a position of the equipment end in the monitoring area, an output end of the equipment end position determining module 220 is connected to a contact equipment end area determining module 230, and the contact equipment end area determining module 230 is configured to determine, according to the position of the equipment end in the monitoring area, that the walking person can touch the area of the equipment end, and use the area as a dangerous area. When the monitoring device is used specifically, the monitoring range area determining module 210 determines the maximum range which can be monitored by monitoring, generates monitoring maximum range information, and transmits the monitoring maximum range information to the device end position determining module 220, the device end position determining module 220 is used for determining the position of the device end in the monitoring area, generates device end position information, transmits the device end position information to the contact device end area determining module 230, judges the area where the walking person can touch the device end according to the position of the device end in the monitoring area, and uses the area as a dangerous area to determine the dangerous area in the monitoring area, which is used as a basis for later-stage alarm.
Further, the output end of the contact device end region determining module 230 is connected to a dangerous region reference point determining module 240, and the dangerous region reference point determining module 240 finds a boundary between the dangerous region and the normal region according to the determination of the dangerous region, and finds a reference point within the boundary. When the walking personnel pass through the boundary between the dangerous area and the normal area during specific use, because of the angle problem of the monitoring point, the walking personnel is difficult to find that the walking personnel reaches the dangerous area in the first time, unless the walking personnel obviously crosses the boundary, namely the walking personnel is about to contact with the equipment end, the judgment is carried out at the moment, the interval time is short, the alarm transmission to the walking personnel needs a certain time, the walking personnel is easy to contact with the equipment end without receiving the alarm information, and the safety accident is caused, at the moment, the boundary between the dangerous area and the normal area is obtained by the dangerous area reference point determining module 240 according to the determined dangerous area, the reference point is found in the boundary, when the walking personnel pass through the reference point, the walking personnel can be judged to enter the dangerous area as long as the walking personnel contact with the reference point in the monitoring process, the angle of the monitoring point is normal, thereby improving the alarm generation efficiency, shutting down the equipment terminal in a short time, and warning the personnel to evacuate in time.
Still further, the output end of the camera monitoring unit 10 is connected to the input end of the identity authentication personnel database 50, and the camera monitoring unit 10 is configured to record new face information of personnel who can be allowed to enter the dangerous area, and update the face information of the personnel who can be allowed to enter the dangerous area stored in the identity authentication personnel database 50 in time. When the system is used specifically, the camera monitoring unit 10 records new face information of people who can be allowed to enter the dangerous area, generates new face information of people, transmits the new face information of people to the identity authentication person database 50, and updates the face information of people who can be allowed to enter the dangerous area, which is stored in the identity authentication person database 50 in time.
Specifically, the person identification unit 40 entering the dangerous person area includes a facial orientation determination module 410, the facial orientation determination module 410 is used for determining the facial orientation of the person in the dangerous area, the output end of the facial orientation determination module 410 is connected with a facial feature point identification module 420, the facial feature point identification module 420 is used for extracting the facial feature points of the monitored person, and the output end of the facial feature point identification module 420 is connected with a facial identification information output module 430. When the face recognition system is used specifically, the face direction judgment module 410 is used for judging the face direction of a person in a dangerous area, changing a monitoring point monitoring angle according to the face direction of the person in the dangerous area, enabling the person to shoot the face of the person, generating face information, transmitting the face information to the face feature point recognition module 420, extracting face feature points of the monitored person by the face feature point recognition module 420, preventing partial face areas from being covered and difficult to recognize, extracting the feature points as feature point recognition information, transmitting the feature point recognition information to the face recognition information output module 430, and transmitting the recognition information to the identity verification unit 60 for comparison and verification through the face recognition information output module 430.
Further, the path tendency judgment unit 30 employs a path tendency judgment algorithm whose algorithm formula is as follows:
Figure DEST_PATH_IMAGE009
wherein A is the set of routes which can be followed by the walker who does not enter the dangerous area,
Figure 825054DEST_PATH_IMAGE010
to
Figure 767602DEST_PATH_IMAGE011
For each route that a walker who does not enter the hazard area may follow, n is the sum of all predicted routes, B is the set of routes that can reach the hazard area,
Figure 267854DEST_PATH_IMAGE012
to
Figure 688471DEST_PATH_IMAGE013
M is the sum of the total routes that can reach the dangerous area, C represents a route that coincides with each route that can reach the dangerous area among the routes that can be followed by a walker who does not enter the dangerous area,
Figure 161040DEST_PATH_IMAGE014
to
Figure 274490DEST_PATH_IMAGE015
F is the sum of the coincident routes for each coincident route,
Figure 262037DEST_PATH_IMAGE016
is the probability that the pedestrian who does not enter the danger area will enter the danger area next.
Further, the input end of the path trend determination unit 30 is connected to the output end of the identity authenticator database 50. The path trend determination unit 30 identifies a path that frequently passes before entering a dangerous area, and when a walking person appears on the path, the path can directly identify facial information, and compare the facial information with the personal identity information and facial features that are stored in the identity authentication person database 50 and can be allowed to enter the dangerous area, so as to identify the walking person information in advance, and when the walking person passes through a reference point, the path trend determination unit directly alarms and shuts down an equipment terminal or allows the walking person to normally enter the equipment terminal.
Still further, the output end of the path trend judging unit 30 is connected to a dangerous path personnel identifying unit 80, the dangerous path personnel identifying unit 80 is used for determining a path which reaches a dangerous area in a one-way manner, the path has no branch and can only reach the dangerous area, the dangerous path personnel identifying unit 80 identifies personnel in the path in advance, and the output end of the dangerous path personnel identifying unit 80 is connected to the input end of the identity verifying unit 60. The dangerous path personnel identification unit 80 determines a path which reaches a dangerous area in one direction, the path has no branches and can only reach the dangerous area, the path is defined as a dangerous path, when walking personnel appear on the path, the facial information of the walking personnel is directly identified through the dangerous path personnel identification unit 80, the facial information of the walking personnel is transmitted to the identity verification unit 60 to be checked, whether the walking personnel belong to personnel which can be allowed to enter the dangerous area or not is judged, and therefore when the walking personnel reach the dangerous area through the dangerous path, early warning can be given in advance, and response efficiency is improved.
In addition, the output end of the dangerous path personnel identifying unit 80 is connected with a data storage unit 90, the data storage unit 90 is used for storing information for determining a path for arriving at the dangerous area in one direction, and the output end of the data storage unit 90 is connected with the input end of the identity verification unit 60. The data storage unit 90 stores information of a path which is determined to arrive at a dangerous area in one direction, and counts according to information of personnel who arrive at the dangerous area through the path, so as to measure the dangerous degree of the path, and sets a dangerous degree threshold value, when the dangerous degree is higher than the dangerous degree threshold value, the path is determined to be a response path, if a walking person passes through the path, the judgment can be directly carried out, when the walking person belongs to a person who can be allowed to enter the dangerous area, normal information is sent out, and when the walking person does not belong to a person who can be allowed to enter the dangerous area, the equipment end is directly closed and an alarm is sent out.
The foregoing shows and describes the general principles, principal features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (9)

1. Danger area prevents getting into alarm system, including the monitor cell (10) of making a video recording, the monitor cell (10) of making a video recording is used for monitoring the personnel of walking in the monitored area and handles its characterized in that: the output end of the camera shooting monitoring unit (10) is connected with a dangerous area range planning unit (20), the dangerous area range planning unit (20) is used for planning the dangerous area range of the monitoring area and dividing the boundary between the dangerous area and a normal area, the output end of the dangerous area range planning unit (20) is connected with a path trend judging unit (30), the path trend judging unit (30) is used for judging the later walking trend of the walking personnel who do not enter the dangerous area, the output end of the path trend judging unit (30) is connected with a personnel identification unit (40) entering the dangerous area, the personnel identification unit (40) entering the dangerous area identifies the face of the personnel in the dangerous area, the input end of the personnel identification unit (40) entering the dangerous area is connected with an identity authentication personnel database (50), the identity authentication personnel database (50) stores identity information and facial features of personnel allowed to enter a dangerous area, the output end of the identity authentication personnel database (50) is connected with an identity verification unit (60), the input end of the identity verification unit (60) is connected with the output end of the personnel identification unit (40) entering the dangerous area, the identity verification unit (60) is used for comparing the face of the personnel in the dangerous area under the current state according to the identity information and the facial features of the personnel allowed to enter the dangerous area, judging whether the personnel are the personnel allowed to enter the dangerous area or not and generating judgment information, the output end of the identity verification unit (60) is connected with an alarm response unit (70), the alarm response unit (70) gives an alarm and closes equipment in the dangerous area according to the judgment information result, or send a normal signal.
2. The hazardous area ingress prevention warning system of claim 1, wherein: the dangerous area range planning unit (20) comprises a monitoring range area determining module (210), an equipment end position determining module (220) is connected to the output end of the monitoring range area determining module (210), the equipment end position determining module (220) is used for determining the position of an equipment end in a monitoring area, a contact equipment end area determining module (230) is connected to the output end of the equipment end position determining module (220), and the contact equipment end area determining module (230) is used for judging that a walker can touch the area of the equipment end according to the position of the equipment end in the monitoring area and taking the area as a dangerous area.
3. The hazardous area entry prevention warning system of claim 2, wherein: the output end of the contact equipment end region determining module (230) is connected with a dangerous region reference point determining module (240), and the dangerous region reference point determining module (240) obtains a boundary between a dangerous region and a normal region according to the determined dangerous region and finds a reference point in the boundary.
4. The hazardous area ingress prevention warning system of claim 1, wherein: the output end of the camera shooting monitoring unit (10) is connected with the input end of the identity authentication personnel database (50), the camera shooting monitoring unit (10) is used for recording new face information of personnel who can be allowed to enter a dangerous area, and the face information of the personnel who can be allowed to enter the dangerous area, which is stored in the identity authentication personnel database (50), is updated in time.
5. The hazardous area entry prevention warning system of claim 1, wherein: the person identification unit (40) entering the dangerous person area comprises a face orientation judgment module (410), the face orientation judgment module (410) is used for judging the face orientation of a person in the dangerous area, the output end of the face orientation judgment module (410) is connected with a face feature point identification module (420), the face feature point identification module (420) is used for extracting the face feature points of the monitored person, and the output end of the face feature point identification module (420) is connected with a face identification information output module (430).
6. The hazardous area ingress prevention warning system of claim 1, wherein: the path trend judgment unit (30) adopts a path trend judgment algorithm, and the algorithm formula is as follows:
Figure 33311DEST_PATH_IMAGE001
wherein A is the set of routes which can be followed by the walker who does not enter the dangerous area,
Figure 556696DEST_PATH_IMAGE002
to
Figure 986540DEST_PATH_IMAGE003
For each route that a walker who does not enter the hazard area may follow, n is the sum of all predicted routes, B is the set of routes that can reach the hazard area,
Figure 228166DEST_PATH_IMAGE004
to
Figure 831185DEST_PATH_IMAGE005
M is the sum of the total routes that can reach the dangerous area, C represents a route that coincides with each route that can reach the dangerous area among the routes that can be followed by a walker who does not enter the dangerous area,
Figure 474656DEST_PATH_IMAGE006
to
Figure 809823DEST_PATH_IMAGE007
F is the sum of the coincident routes for each coincident route,
Figure 538744DEST_PATH_IMAGE008
is the probability that the pedestrian who does not enter the danger area will enter the danger area next.
7. The hazardous area entry prevention warning system of claim 6, wherein: the input end of the path trend judging unit (30) is connected with the output end of the identity authentication personnel database (50).
8. The hazardous area entry prevention warning system of claim 7, wherein: the output end of the path trend judging unit (30) is connected with a dangerous path personnel identifying unit (80), the dangerous path personnel identifying unit (80) is used for determining a path which reaches a dangerous area in a one-way mode, the path has no branches and can only reach the dangerous area, the dangerous path personnel identifying unit (80) identifies personnel in the path in advance, and the output end of the dangerous path personnel identifying unit (80) is connected with the input end of the identity verifying unit (60).
9. The hazardous area ingress prevention warning system of claim 8, wherein: the output end of the dangerous path personnel identification unit (80) is connected with a data storage unit (90), the data storage unit (90) is used for storing information of a path which is determined to arrive at a dangerous area in a one-way mode, and the output end of the data storage unit (90) is connected with the input end of the identity verification unit (60).
CN202211043770.5A 2022-08-30 2022-08-30 Alarm system for preventing entrance into dangerous area Pending CN115131935A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211043770.5A CN115131935A (en) 2022-08-30 2022-08-30 Alarm system for preventing entrance into dangerous area

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211043770.5A CN115131935A (en) 2022-08-30 2022-08-30 Alarm system for preventing entrance into dangerous area

Publications (1)

Publication Number Publication Date
CN115131935A true CN115131935A (en) 2022-09-30

Family

ID=83387057

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211043770.5A Pending CN115131935A (en) 2022-08-30 2022-08-30 Alarm system for preventing entrance into dangerous area

Country Status (1)

Country Link
CN (1) CN115131935A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116797031A (en) * 2023-08-25 2023-09-22 深圳市易图资讯股份有限公司 Safety production management method and system based on data acquisition

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006146378A (en) * 2004-11-17 2006-06-08 Hitachi Ltd Monitoring system using multiple camera
CN110425005A (en) * 2019-06-21 2019-11-08 中国矿业大学 The monitoring of transportation of belt below mine personnel's human-computer interaction behavior safety and method for early warning
CN110675586A (en) * 2019-09-25 2020-01-10 捻果科技(深圳)有限公司 Airport enclosure intrusion monitoring method based on video analysis and deep learning
CN110733983A (en) * 2019-12-20 2020-01-31 广东博智林机器人有限公司 tower crane safety control system and control method thereof
CN111784967A (en) * 2020-07-23 2020-10-16 南通市达欣工程股份有限公司 Building construction safety early warning protection system based on BIM
CN113919627A (en) * 2021-08-31 2022-01-11 福建枋洋水利投资发展有限公司 Intelligent monitoring method applied to hydro-junction engineering
CN114296029A (en) * 2021-12-24 2022-04-08 宁夏广天夏电子科技有限公司 Method and system for positioning personnel on mining face
CN114639216A (en) * 2022-02-18 2022-06-17 国政通科技有限公司 Specific personnel track area analysis early warning system and method

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006146378A (en) * 2004-11-17 2006-06-08 Hitachi Ltd Monitoring system using multiple camera
CN110425005A (en) * 2019-06-21 2019-11-08 中国矿业大学 The monitoring of transportation of belt below mine personnel's human-computer interaction behavior safety and method for early warning
CN110675586A (en) * 2019-09-25 2020-01-10 捻果科技(深圳)有限公司 Airport enclosure intrusion monitoring method based on video analysis and deep learning
CN110733983A (en) * 2019-12-20 2020-01-31 广东博智林机器人有限公司 tower crane safety control system and control method thereof
CN111784967A (en) * 2020-07-23 2020-10-16 南通市达欣工程股份有限公司 Building construction safety early warning protection system based on BIM
CN113919627A (en) * 2021-08-31 2022-01-11 福建枋洋水利投资发展有限公司 Intelligent monitoring method applied to hydro-junction engineering
CN114296029A (en) * 2021-12-24 2022-04-08 宁夏广天夏电子科技有限公司 Method and system for positioning personnel on mining face
CN114639216A (en) * 2022-02-18 2022-06-17 国政通科技有限公司 Specific personnel track area analysis early warning system and method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116797031A (en) * 2023-08-25 2023-09-22 深圳市易图资讯股份有限公司 Safety production management method and system based on data acquisition
CN116797031B (en) * 2023-08-25 2023-10-31 深圳市易图资讯股份有限公司 Safety production management method and system based on data acquisition

Similar Documents

Publication Publication Date Title
CN112333241B (en) Intelligent security system based on big data service
JP4924607B2 (en) Suspicious behavior detection apparatus and method, program, and recording medium
CN110544360B (en) Train safe driving monitoring system and method
US20110001812A1 (en) Context-Aware Alarm System
CN112738468B (en) Safety early warning method for intelligent park
CN110070155B (en) Comprehensive behavior recognition method and system for prisoner based on wearable equipment
CN110525456B (en) Train safe driving monitoring system and method
CN113223046B (en) Method and system for identifying prisoner behaviors
CN109934977B (en) Intelligent entrance guard identification method suitable for externally open units
CN113837030B (en) Personnel intelligent management and control method and system for epidemic situation prevention and control and computer equipment
CN115131935A (en) Alarm system for preventing entrance into dangerous area
KR101817350B1 (en) Sensing Control Apparatus for Security Entrance of Walkway using Artificial Intelligence
CN112349015B (en) Shelter management and control system and method based on Internet of things
CN112348731B (en) Smart community real-time supervision system and method based on big data
US20170148290A1 (en) Anti-theft alarm system and method
CN111402532A (en) Comprehensive security video management control system
CN114937237A (en) Construction site safety monitoring method and system based on AI intelligent identification
KR101405233B1 (en) System and method for processing of vehicle theft
CN111192397A (en) Non-inductive identification passing device and identification method based on big data
CN113903177A (en) Community intelligent security system based on 5G communication network
CN112885013A (en) Monitoring and early warning method and device and readable storage medium
KR102002287B1 (en) Management system of entrance and exit
CN206058301U (en) A kind of Prison Management System Developed
CN115761564A (en) Follower list processing method, abnormal travel event detection method and system
KR20150125266A (en) Incident monitoring system and method based on incident vehicle information

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20220930

RJ01 Rejection of invention patent application after publication