CN110942587A - Artificial intelligent safety monitoring system and method - Google Patents
Artificial intelligent safety monitoring system and method Download PDFInfo
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- CN110942587A CN110942587A CN201910873467.XA CN201910873467A CN110942587A CN 110942587 A CN110942587 A CN 110942587A CN 201910873467 A CN201910873467 A CN 201910873467A CN 110942587 A CN110942587 A CN 110942587A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 9
- 238000012806 monitoring device Methods 0.000 claims description 15
- 238000004891 communication Methods 0.000 claims description 8
- 230000006854 communication Effects 0.000 claims description 8
- 230000037237 body shape Effects 0.000 claims description 7
- 239000000779 smoke Substances 0.000 claims description 4
- 239000007921 spray Substances 0.000 claims description 3
- 238000010295 mobile communication Methods 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 230000005540 biological transmission Effects 0.000 description 3
- 206010011469 Crying Diseases 0.000 description 2
- 230000007175 bidirectional communication Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 206010039740 Screaming Diseases 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 230000008033 biological extinction Effects 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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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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Abstract
The invention discloses an artificial intelligence safety monitoring system and a method, which comprises a detection area and a monitoring area, wherein a plurality of video acquisition modules and a plurality of audio acquisition modules are respectively arranged in the detection area, the video acquisition modules are connected with a video processing module, and the video processing module is connected with a video capturing module; the audio acquisition module is sequentially connected with a filter and an amplifier, and is connected with the sound decibel judgment module through the filter and the amplifier; the video capture module and the sound decibel judgment module are connected with the storage, a main control console is arranged in the monitoring area, the storage is connected to the main control console, and a display screen is connected to the main control console. The invention has the beneficial effects that: the probability that dangerous accidents occur due to the distraction of related personnel and cannot be found in time is reduced, the probability of casualties is reduced, and the property and life safety of the related personnel is guaranteed.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to an artificial intelligence safety monitoring system and method.
Background
Artificial intelligence is a new technical science for studying and developing theories, methods, techniques and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence, a field of research that includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others. Since the birth of artificial intelligence, theories and technologies become mature day by day, and application fields are expanded continuously, so that science and technology products brought by the artificial intelligence in the future can be assumed to be 'containers' of human intelligence. The monitoring system mainly comprises five parts, namely front-end monitoring equipment, transmission equipment and rear-end storage, control and display equipment, wherein the rear-end equipment can be further divided into central control equipment and sub-control equipment. The front-end and back-end devices have various configurations, and the connection between them (also called transmission system) can be realized by various means such as cable, optical fiber, microwave or wireless transmission.
For some areas with large pedestrian volume, safety measures are necessary, but if dangerous events such as hurt and smashing occur in a shopping mall, only monitoring can be relied on, and then whether the dangerous events are malignant or not can be judged according to the dangerous events, but video monitoring is numerous, and people who observe and monitor are relatively few, and each picture can not be observed at any time, so that potential safety hazards exist.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
The invention provides an artificial intelligence safety monitoring system and a method aiming at the problems in the related art, and aims to overcome the technical problems in the prior related art.
The technical scheme of the invention is realized as follows:
according to one aspect of the invention, the artificial intelligence safety monitoring system comprises a detection area and a monitoring area, wherein a plurality of video acquisition modules and a plurality of audio acquisition modules are respectively arranged in the detection area, the video acquisition modules are connected with a video processing module, and a video capture module is connected to the video processing module;
the audio acquisition module is sequentially connected with a filter and an amplifier, and is connected with the sound decibel judgment module through the filter and the amplifier;
the video capture module and the sound decibel judgment module are connected with a storage, a main control console is arranged in the monitoring area, the storage is connected to the main control console, a display screen is connected to the main control console, the display screen is connected with the video capture module through a video priority display module, a voice playing module is connected to the main control console, an alarm module and a two-way communication module are connected to the main control console, the two-way communication module is connected with a plurality of two-way mobile communicators, and a fire control monitoring device and an elevator monitoring device are connected to the main control console.
Optionally, the video capture module captures video of more than two related people running.
Optionally, the sound decibel determination module determines and captures sounds greater than 70 dB.
Optionally, the video capture module is connected with a body shape judgment module, and the body shape judgment module is mainly used for judging whether the video capture module is a child.
Optionally, a sound judgment module is connected to the sound decibel judgment module, and the sound judgment module judges whether the sound is a crying and disturbing sound of the child.
Optionally, the video priority presentation module preferentially presents that the video capture module captures videos of more than two related people running.
Optionally, the voice playing module is connected to the amplifier through a voice playing switch.
Optionally, a video rotation playing module is connected to the display screen for selectively playing the picture.
Optionally, the fire control monitoring device includes fire control controller, fire control controller through feedback module with the master control platform is connected, fire control controller is connected with a plurality of smoke alarm and fire alarm, the last connection of fire control controller is equipped with a plurality of fire control shower nozzles, in addition, the last connection of fire control controller is equipped with automatic alarm module, automatic alarm module through feedback module with the master control platform is connected, and, automatic alarm module is connected with alarm module.
According to another aspect of the invention, an artificial intelligence safety monitoring method is provided.
The method comprises the following steps:
collecting video information and audio information through a video acquisition module and an audio acquisition module;
the collected video information is processed by the video processing module and then is sent to the video capturing module;
the video capture module is used for processing the video sent by the video processing module, capturing running body shadows in the video, and sending signals to the video priority display module and simultaneously sending the signals to the storage device for storage when the number of the body shadows is larger than two and above;
after the video priority display module receives the signals, the video information with more than two and more than two shadows is preferentially amplified and displayed through the display screen;
the collected audio information is filtered and amplified by a filter and an amplifier and then is sent to a sound decibel judger;
the sound decibel judger judges the sound of which the sound is greater than 70dB, and sends the sound to the voice playing module and the memory for storage;
related personnel judge whether the related personnel are dangerous or not by observing the display and then combining voice playing;
if the danger can be caused, judging the danger, and further selecting to alarm through an alarm module on the main control console or open a fire-fighting spray head through a fire-fighting monitoring device;
the voice collected on the audio acquisition module to be listened can be selected through the voice selection playing module, and the video collected on the corresponding video acquisition module can be selected to be watched through the video selection playing module;
if related dangers occur, the two-way communication module can be matched with a two-way mobile communicator on the body of a security worker to command and evacuate.
The invention has the beneficial effects that: can catch the quick travel of people stream and the change of sound that can be quick catch through video capture module and sound decibel judgement module, relevant personnel can be quick then observe corresponding picture and hear the sound, go to judge whether there is dangerous incident to take place, reduce because relevant personnel are vague, and take place some dangerous accidents, the probability that can not in time discover reduces the probability of casualties, has ensured relevant personnel's property life safety.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic diagram of an artificial intelligence security monitoring system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an extinction monitoring device in an artificial intelligence security monitoring system according to an embodiment of the present invention;
FIG. 3 is one of the flow charts of a method for artificial intelligence security monitoring according to an embodiment of the present invention;
fig. 4 is a second flowchart of an artificial intelligence security monitoring method according to an embodiment of the present invention.
Reference numerals;
1. a detection zone; 2. a monitoring area; 3. a video acquisition module; 4. an audio acquisition module; 5. a video processing module; 6. a video capture module; 7. a filter; 8. an amplifier; 9. a sound decibel judgment module; 10. a reservoir; 11. a master console; 12. a display screen; 13. a video priority display module; 14. a voice playing module; 15. an alarm module; 16. a bidirectional communication module; 17. a two-way mobile communicator; 18. a fire monitoring device; 19. an elevator monitoring device; 20. a body shape judging module; 21. a sound judgment module; 22. a voice playing switch; 23. a video selection playing module; 24. a fire-fighting controller; 25. a feedback module; 26. a smoke alarm; 27. a fire alarm; 28. a fire sprinkler; 29. and an automatic alarm module.
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 that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
As shown in fig. 1-2, according to an embodiment of the present invention, an artificial intelligence security monitoring system is provided, which includes a detection area 1 and a monitoring area 2, wherein a plurality of video capture modules 3 and a plurality of audio capture modules 4 are respectively disposed in the detection area 1, the video capture modules 3 are connected to a video processing module 5, and a video capture module 6 is connected to the video processing module 5;
the audio acquisition module 4 is sequentially connected with a filter 7 and an amplifier 8, and the audio acquisition module 4 is connected with a sound decibel judgment module 9 through the filter 7 and the amplifier 8;
the video capture module 6 and the sound decibel judgment module 9 are connected with a storage 10, a main control console 11 is arranged in the monitoring area 2, the storage 10 is connected to the main control console 11, a display screen 12 is connected to the main control console 11, the display screen 12 is connected with the video capture module 6 through a video priority display module 13, a voice playing module 14 is connected to the main control console 11, an alarm module 15 and a two-way communication module 16 are connected to the main control console 11, the two-way communication module 16 is connected with a plurality of two-way mobile communicators 17, and a fire monitoring device 18 and an elevator monitoring device 19 are connected to the main control console 11.
Additionally, in one embodiment, the video capture module 6 captures video of more than two related people running. When danger occurs, not all people run at the same time, and certainly there is the first running found first, so when more than two people run at the judgment place, danger may occur, certainly there is one person, but the probability of one person running is too large, therefore, in order to reduce the capture error, the judgment condition is determined to be more than two people.
In addition, in one embodiment, the sound decibel determination module 9 determines and captures sounds greater than 70 dB. Since the voice of the person talking normally is below 60 db, in order to avoid misleading due to the resonance of the voice, the judgment of the voice db judgment module 9 is greater than 70 db.
In addition, in one embodiment, a body shape judging module 20 is connected to the video capturing module 6, and the body shape judging module 20 is mainly used for judging whether the child is a child.
In addition, in an embodiment, a sound judging module 21 is connected to the sound decibel judging module 9, and the sound judging module 21 judges whether the sound is a crying and screaming sound of the child.
Additionally, in one embodiment, the video priority presentation module 13 preferentially presents videos captured by the video capture module 6 that are running by more than two related people.
In addition, in one embodiment, the voice playing module 14 is connected to the amplifier 8 through a voice playing switch 22.
In addition, in one embodiment, a video selection playing module 23 is connected to the display screen 12 for selectively playing the pictures.
In addition, in one embodiment, the fire monitoring device 18 includes a fire controller 24, the fire controller 24 is connected to the console 11 through a feedback module 25, the fire controller 24 is connected to a plurality of smoke alarms 26 and fire alarms 27, a plurality of fire sprinklers 28 are connected to the fire controller 24, an automatic alarm module 29 is connected to the fire controller 24, the automatic alarm module 29 is connected to the console 11 through the feedback module 25, and the automatic alarm module 29 is connected to the alarm module 15.
As shown in fig. 3-4, according to an embodiment of the present invention, an artificial intelligence security monitoring method is also provided.
The method comprises the following steps:
step S101, collecting video information and audio information through a video acquisition module and an audio acquisition module;
step S103, the collected video information is processed by a video processing module and then sent to a video capturing module;
step S105, processing the video sent by the video processing module through the video capturing module, capturing running body shadows in the video, and sending signals to the video priority display module and simultaneously sending the signals to the storage device for storage when the number of the body shadows is more than two;
step S107, after the video priority display module receives the signal, the video information with more than two body shadows and more than two body shadows is displayed in an amplification mode preferentially through a display screen;
step S109, the collected audio information is sent to a sound decibel judger after being filtered and amplified by a filter and an amplifier;
step S111, the sound decibel judger judges the sound of which the sound is larger than 70dB, and sends the sound to the voice playing module and simultaneously sends the sound to the storage for storage;
step S113, relevant personnel judge whether to cause danger to the relevant personnel by observing the display and then combining voice playing;
step S115, if the danger can be caused, judging the danger, and further selecting to alarm through an alarm module on a main control console or open a fire-fighting nozzle through a fire-fighting monitoring device;
step 117, the voice collected on the audio acquisition module to be listened can be selected through the voice selection playing module, and the video collected on the corresponding video acquisition module can be selected to be watched through the video selection playing module;
and step S119, if relevant dangers occur, commanding and evacuating can be carried out by matching the bidirectional communication module with a bidirectional mobile communicator on the security personnel.
In summary, by means of the above technical solution of the present invention, rapid movement of people stream and change of sound can be rapidly captured by the video capturing module 6 and the sound decibel judging module 9, and then relevant persons can rapidly observe corresponding pictures and hear sound to judge whether there is a dangerous event, so as to reduce the probability that some dangerous accidents occur due to the vague movement of relevant persons, and that the dangerous accidents cannot be timely found, reduce the probability of casualties, and ensure the property and life safety of relevant persons.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. An artificial intelligence safety monitoring system is characterized by comprising a detection area (1) and a monitoring area (2), wherein the detection area (1) is internally provided with a plurality of video acquisition modules (3) and a plurality of audio acquisition modules (4), the video acquisition modules (3) are connected with a video processing module (5), and the video processing module (5) is connected with a video capturing module (6);
the audio acquisition module (4) is sequentially connected with a filter (7) and an amplifier (8), and the audio acquisition module (4) is connected with a sound decibel judgment module (9) through the filter (7) and the amplifier (8);
video capture module (6) with sound decibel judge module (9) all is connected with accumulator (10), be equipped with master control platform (11) in surveillance area (2), the connection is equipped with on master control platform (11) accumulator (10), it is equipped with display screen (12) to connect on master control platform (11), on display screen (12) through video preferential show module (13) with video capture module (6) are connected, it is equipped with voice playback module (14) to connect on master control platform (11), it is equipped with alarm module (15) and two-way communication module (16) to connect on master control platform (11), two-way communication module (16) are connected with a plurality of two-way mobile communication ware (17), it is equipped with fire control monitoring device (18) and elevator monitoring device (19) to connect on master control platform (11).
2. An artificial intelligence security monitoring system according to claim 1, wherein the video capture module (6) captures video of more than two related persons running.
3. The system according to claim 2, wherein the sound decibel determination module (9) determines and captures sounds greater than 70 dB.
4. The system according to claim 3, wherein the video capturing module (6) is connected with a body shape judging module (20), and the body shape judging module (20) is mainly used for judging whether children are present.
5. The system according to claim 4, wherein a sound judgment module (21) is connected to the sound decibel judgment module (9), and the sound judgment module (21) judges whether the cry and disorder sound of the child is generated.
6. An artificial intelligence security monitoring system as claimed in claim 5, wherein the video priority presentation module (13) is configured to present priority to the video capture module (6) to capture video of more than two persons involved in running.
7. An artificial intelligence safety monitoring system according to claim 6, wherein the voice playing module (14) is connected to the amplifier (8) through a voice playing switch (22).
8. The system according to claim 7, wherein a video selection playing module (23) is connected to the display screen (12) for selectively playing the pictures.
9. An artificial intelligence safety monitoring system according to claim 8, characterized in that the fire fighting monitoring device (18) includes a fire fighting controller (24), the fire fighting controller (24) is connected with the main console (11) through a feedback module (25), the fire fighting controller (24) is connected with a plurality of smoke alarms (26) and fire alarms (27), the fire fighting controller (24) is connected with a plurality of fire fighting spray heads (28), in addition, the fire fighting controller (24) is connected with an automatic alarm module (29), the automatic alarm module (29) is connected with the main console (11) through the feedback module (25), and the automatic alarm module (29) is connected with an alarm module (15).
10. An artificial intelligence security monitoring method for use with the artificial intelligence security monitoring system of claim 9, comprising the steps of:
collecting video information and audio information through a video acquisition module and an audio acquisition module;
the collected video information is processed by the video processing module and then is sent to the video capturing module;
the video capture module is used for processing the video sent by the video processing module, capturing running body shadows in the video, and sending signals to the video priority display module and simultaneously sending the signals to the storage device for storage when the number of the body shadows is larger than two and above;
after the video priority display module receives the signals, the video information with more than two and more than two shadows is preferentially amplified and displayed through the display screen;
the collected audio information is filtered and amplified by a filter and an amplifier and then is sent to a sound decibel judger;
the sound decibel judger judges the sound of which the sound is greater than 70dB, and sends the sound to the voice playing module and the memory for storage;
related personnel judge whether the related personnel are dangerous or not by observing the display and then combining voice playing;
if the danger can be caused, judging the danger, and further selecting to alarm through an alarm module on the main control console or open a fire-fighting spray head through a fire-fighting monitoring device;
the voice collected on the audio acquisition module to be listened can be selected through the voice selection playing module, and the video collected on the corresponding video acquisition module can be selected to be watched through the video selection playing module;
if related dangers occur, the two-way communication module can be matched with a two-way mobile communicator on the body of a security worker to command and evacuate.
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| CN114374878A (en) * | 2021-12-28 | 2022-04-19 | 苏州金螳螂文化发展股份有限公司 | Interactive display system based on action recognition |
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