CN115223325A - AI camera capable of identifying fire and control system thereof - Google Patents
AI camera capable of identifying fire and control system thereof Download PDFInfo
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- CN115223325A CN115223325A CN202210804011.XA CN202210804011A CN115223325A CN 115223325 A CN115223325 A CN 115223325A CN 202210804011 A CN202210804011 A CN 202210804011A CN 115223325 A CN115223325 A CN 115223325A
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- 238000012545 processing Methods 0.000 claims abstract description 50
- 238000012544 monitoring process Methods 0.000 claims abstract description 48
- 238000004364 calculation method Methods 0.000 claims abstract description 12
- 238000004458 analytical method Methods 0.000 claims abstract description 5
- 230000002457 bidirectional effect Effects 0.000 claims description 16
- 238000004891 communication Methods 0.000 claims description 14
- 238000013500 data storage Methods 0.000 claims description 6
- 239000013307 optical fiber Substances 0.000 claims description 6
- 239000000779 smoke Substances 0.000 claims description 6
- 238000007726 management method Methods 0.000 claims description 4
- 239000007921 spray Substances 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 7
- 230000008569 process Effects 0.000 abstract description 4
- 230000005540 biological transmission Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 5
- 230000009471 action Effects 0.000 description 3
- 230000000007 visual effect Effects 0.000 description 3
- 230000001419 dependent effect Effects 0.000 description 2
- 239000000843 powder Substances 0.000 description 2
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- 239000000725 suspension Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 230000005611 electricity Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
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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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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C31/00—Delivery of fire-extinguishing material
- A62C31/005—Delivery of fire-extinguishing material using nozzles
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C31/00—Delivery of fire-extinguishing material
- A62C31/28—Accessories for delivery devices, e.g. supports
-
- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C37/00—Control of fire-fighting equipment
- A62C37/36—Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device
- A62C37/38—Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device by both sensor and actuator, e.g. valve, being in the danger zone
- A62C37/40—Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device by both sensor and actuator, e.g. valve, being in the danger zone with electric connection between sensor and actuator
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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
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
Abstract
The invention relates to the technical field of fire safety, in particular to an AI camera capable of identifying fire and a control system thereof. This AI camera and control system of ability discernment conflagration, security protection monitoring unit makes the judgement with its data information transmission to in the conflagration early warning monitoring platform, make external equipment homoenergetic receive the remote observation and the operation of the conflagration condition through central processing unit and handle, can trigger automatically controlled extinguishing device and put out a fire, thereby the discovery is realized to the fastest speed, report to the police, the operation of putting out a fire one step and targetting in place, and, edge calculation module and millimeter wave radar among the rescue supervision processing unit can make calculation analysis processes to the conflagration trend condition, with the condition that this steady control fire source spreads.
Description
Technical Field
The invention relates to the technical field of fire safety, in particular to an AI camera capable of identifying a fire disaster and a control system thereof.
Background
The mode that electric bicycle shed fire hazard monitoring used to generally adopt smoke to feel and suspension type superfine dry powder fire extinguisher and ordinary camera control, because smoke is felt and is easily disturbed by dust, haze and the false alarm, outdoor bicycle shed smog is influenced by air flow direction velocity of flow again and is missed the report, and suspension type superfine dry powder fire extinguisher is to sense the temperature and just detonate the device more than 68 degrees, has missed the golden time of putting out a fire in fact.
Meanwhile, after fire disaster is found, a period of time is needed for on-site fire fighting, and the common camera cannot automatically recognize and alarm, so that the camera is actually dependent on eye protection.
In view of the above pain points, an AI camera and a control system thereof are provided, which can recognize the fire and the smoke in seconds, and once the fire occurs, the front end triggers the alarm immediately, the machine room, the security room and the remote monitoring unit also alarm at the same time, and the monitoring center can trigger the electric control fire extinguishing device to extinguish the fire after confirming the fire, thereby improving the problems.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides the AI camera capable of identifying the fire and the control system thereof, which have the advantages of quickly realizing the operation of finding, alarming and extinguishing the fire in one step and the remote operation and the like, and solve the problem that the common camera cannot automatically identify and alarm and is still dependent on the flesh eye people's air defense.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: the AI camera and the control system thereof can identify fire, comprises a security monitoring unit and a central processing unit, wherein the security monitoring unit comprises a fire-fighting electric spray head, an electric fire extinguisher, a fire identification camera and an acousto-optic alarm, the output end of the security monitoring unit is connected with the input end of a communication network unit, the output end of the communication network unit is connected with the input end of a fire early warning monitoring platform, the fire early warning monitoring platform is electrically connected with the central processing unit through an electric signal in two directions, the central processing unit is electrically connected with a fire alarm processing module and a rescue supervision processing unit through a MODEM module in two directions, the rescue supervision processing unit comprises a geographic database, a data collector, a GPS positioner, an image acquisition module, an edge computing module and a millimeter wave radar, the geographic database is electrically connected with the data collector through an electric signal in two directions, the data collector is electrically connected with the GPS positioner through an electric signal in two directions, the GPS positioner is electrically connected with the image acquisition module through an electric signal in two directions, the image acquisition module is electrically connected with the edge computing module through an electric signal in two directions, the edge computing module is electrically connected with the output end of a rescue monitoring processing unit, the output end of the rescue processing unit is connected with the input end of a MODEM module and a remote monitoring service unit, the remote monitoring service terminal is connected with the input end of the millimeter wave monitoring platform, and the output end of the millimeter wave monitoring service terminal.
Preferably, the communication network unit includes an optical fiber network terminal, an a/D converter, a modem, and a WAF firewall, where the optical fiber network terminal and the a/D converter are electrically connected in two directions by an electrical signal, the a/D converter and the modem are electrically connected in two directions by an electrical signal, and the modem and the WAF firewall are electrically connected in two directions by an electrical signal.
Preferably, the fire early warning monitoring platform comprises a region position monitoring module, a fire image recognition module, a smoke sensing module and a calculation verification module.
Preferably, the central processing unit is electrically connected with the handheld login device in a bidirectional mode through the MODEM module, and the handheld login device comprises a plurality of handsets.
Preferably, the output end of the central processing unit is connected with the input end of the output module, the output module comprises a decoding monitor and an external sound playing device, the decoding monitor is electrically connected with the external sound playing device in a bidirectional mode through a wire harness, the input end of the central processing unit is connected with the output end of the input module, and the input module comprises a video recorder, a network interface device and a router.
Preferably, the fire alarm processing module comprises a real-time image speckle pattern and an analysis generator, and the output end of the fire alarm processing module is connected with the input end of the remote monitoring and storage unit through the MODEM module.
Preferably, the remote commanding module comprises an image graphic device, a monitoring television wall and a data feedback device, the output end of the remote commanding module is connected with the output end of the MCU information module, and the output end of the MCU information module is connected with the input end of the storage service module.
Preferably, the storage service module comprises a data storage, a data flash memory and a wireless communicator, and an output end of the data storage is connected with an input end of the data feedback device.
Preferably, the platform service terminal comprises a management port, a central grid point and a remote communication device, wherein an output end of the management port is connected with an input end of the central grid point, and the central grid point is electrically connected with the remote communication device in a two-way mode through an electric signal.
(III) advantageous effects
Compared with the prior art, the invention provides the AI camera capable of identifying the fire and the control system thereof, and the AI camera has the following beneficial effects:
the AI camera and the control system thereof can identify a fire disaster, and can be used by matching a security monitoring unit, a fire disaster early warning monitoring platform and a rescue supervision processing unit, wherein the security monitoring unit comprises a plurality of fire fighting electric nozzles, an electric fire extinguisher, a fire disaster identification camera and an audible and visual alarm, can be used for carrying out safety monitoring on the real-time state of an electric bicycle shed, and can transmit data information of the electric bicycle shed to the fire disaster early warning monitoring platform to make a judgment aiming at the condition of the fire disaster, and the external equipment can receive remote observation and operation processing of the fire disaster through a central processing unit, and can trigger an electric control fire extinguishing device to extinguish the fire, thereby realizing the operations of finding, alarming and extinguishing in place at the highest speed, and carrying out calculation analysis processing on the fire disaster trend condition through an edge calculation module and a radar in the rescue supervision processing unit, so as to stably control the condition of fire source spreading.
Drawings
Fig. 1 is a schematic diagram of an AI camera capable of recognizing a fire and a control system thereof according to the present invention;
fig. 2 is a partial system diagram of an AI camera and its control system capable of recognizing a fire according to the present invention;
fig. 3 is a partial system diagram of an AI camera and its control system capable of recognizing a fire according to the present invention;
fig. 4 is a functional system diagram of an AI camera and a control system thereof capable of identifying a fire according to the present invention.
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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to fig. 1-4, an AI camera and a control system thereof capable of identifying fire comprises a security monitoring unit and a central processing unit, wherein the security monitoring unit comprises a fire-fighting electric nozzle, an electric fire extinguisher, a fire identification camera and an audible and visual alarm, the output end of the security monitoring unit is connected with the input end of a communication network unit, the communication network unit comprises an optical fiber network terminal, an a/D converter, a modem and a WAF firewall, the optical fiber network terminal and the a/D converter are electrically connected in two directions by electric signals, the a/D converter and the modem are electrically connected in two directions by electric signals, the modem and the WAF firewall are electrically connected in two directions by electric signals, and the output end of the communication network unit is connected with the input end of a fire early warning monitoring platform;
the fire early warning monitoring platform comprises an area position monitoring module, a fire image recognition module, a smoke sensing module and a calculation verification module, the fire early warning monitoring platform is in bidirectional electric connection with a central processing unit through an electric signal, the central processing unit is in bidirectional electric connection with handheld login equipment through a MODEM module, the handheld login equipment comprises a plurality of handheld devices, the output end of the central processing unit is connected with the input end of an output module, the output module comprises a decoding monitor and an external sound playing device, the decoding monitor is in bidirectional electric connection with the external sound playing device through a wiring harness, the input end of the central processing unit is connected with the output end of the input module, the input module comprises a video recorder, a network interface and a router, the central processing unit is in bidirectional electric connection with a fire alarm processing module and a rescue supervision processing unit through the MODEM module, the fire alarm processing module comprises a real-time image color spot diagram and an analysis generator, and the output end of the fire alarm processing module is connected with the input end of a storage unit through the MODEM module and remote monitoring;
the rescue supervision processing unit comprises a geographic database, a data acquisition device, a GPS (global positioning system) positioner, an image acquisition module, an edge calculation module and a millimeter wave radar, the geographic database is in bidirectional electric connection with the data acquisition device through an electric signal, the data acquisition device is in bidirectional electric connection with the GPS positioner through an electric signal, the GPS positioner is in bidirectional electric connection with the image acquisition module through an electric signal, the image acquisition module is in bidirectional electric connection with the edge calculation module through an electric signal, the edge calculation module is in bidirectional electric connection with the millimeter wave radar through an electric signal, the output end of the rescue supervision processing unit is connected with the input end of the storage unit through a MODEM (modulator-demodulator), the remote command module comprises an image graphical analyzer, a monitoring television wall and a data feedback device, the output end of the remote command module is connected with an MCU (microprogrammed control unit) information module and the output end, and the output end of the MCU information module is connected with the input end of the storage service module;
remote monitoring and storage unit include remote command module and storage service module, storage service module includes data storage, data flash memory and wireless communication ware, data storage's output and data feedback ware's input are connected, storage service module's output and base station's input are connected, base station's output and platform service terminal's input are connected, platform service terminal is including managing the port, central check site and telecommunication equipment, the output of managing the port is connected with the input of central check site, central check site and telecommunication equipment pass through the two-way electricity of signal of telecommunication and are connected.
The electrical components presented in the document are all electrically connected with an external master controller and 220V mains, and the master controller can be a conventional known device controlled by a computer or the like.
When using, the network use form with 4G network and WIFI network can be realized to the interface port ware and the router that set up in the input module, realizes that the fire identification camera that uses in the device is under outdoor and indoor installation condition, connects the use to complying with of convenient network.
In conclusion, the AI camera capable of identifying fire and the control system thereof can be used by matching the security monitoring unit, the fire early warning monitoring platform and the rescue supervision processing unit, the security monitoring unit comprises a plurality of fire-fighting electric spray heads, an electric fire extinguisher, a fire identification camera and an audible and visual alarm, can be used for carrying out security monitoring on the real-time state of an electric vehicle shed, and can be used for transmitting data information of the electric vehicle shed to the fire early warning monitoring platform to judge if a fire occurs, so that the external equipment can receive remote observation and operation processing of the fire situation through the central processing unit, and the electric fire extinguishing device can be triggered to extinguish the fire, thereby realizing the operation of finding, alarming and extinguishing the fire at one step at the highest speed, and an edge computing module and a millimeter wave radar in the rescue supervision processing unit can be used for carrying out computational analysis processing on the fire trend situation, so as to stably control the fire spreading condition.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the use of the verb "comprise a" to define an element does not exclude the presence of another, same element in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. The utility model provides an AI camera and control system thereof of ability discernment conflagration, includes security protection monitoring unit and central processing unit, its characterized in that: the safety monitoring unit comprises a fire-fighting electric spray head, an electric fire extinguisher, a fire identification camera and an acousto-optic alarm, the output end of the safety monitoring unit is connected with the input end of a communication network unit, the output end of the communication network unit is connected with the input end of a fire early warning monitoring platform, the fire early warning monitoring platform is electrically connected with a central processing unit in a two-way electric signal mode, the central processing unit is electrically connected with a fire alarm processing module and a rescue supervision processing unit in a two-way electric signal mode through a MODEM module, the rescue supervision processing unit comprises a geographic database, a data collector, a GPS positioner, an image acquisition module, an edge calculation module and a millimeter wave radar in a two-way electric signal mode, the geographic database is electrically connected with the data collector in a two-way electric signal mode, the data collector is electrically connected with the GPS positioner in a two-way electric signal mode, the GPS positioner is electrically connected with the image acquisition module in a two-way electric signal mode, the edge calculation module is electrically connected with the millimeter wave radar in a two-way electric signal mode, the output end of the rescue supervision processing unit is connected with the input end of a storage unit, the remote monitoring processing unit is connected with the input end of a remote command module and the output end of a storage service terminal.
2. The AI camera and the control system thereof capable of recognizing fire according to claim 1, wherein: the communication network unit comprises an optical fiber network terminal, an A/D converter, a modem and a WAF firewall, wherein the optical fiber network terminal and the A/D converter are in bidirectional electric connection through electric signals, the A/D converter and the modem are in bidirectional electric connection through electric signals, and the modem and the WAF firewall are in bidirectional electric connection through electric signals.
3. The AI camera and the control system thereof capable of recognizing fire according to claim 1, wherein: the fire early warning monitoring platform comprises a region position monitoring module, a fire image recognition module, a smoke sensing module and a calculation verification module.
4. The AI camera and the control system thereof capable of recognizing fire according to claim 1, wherein: the central processing unit is in bidirectional electric connection with the handheld login equipment through the MODEM module, and the handheld login equipment comprises a plurality of handsets.
5. The AI camera and the control system thereof capable of recognizing a fire according to claim 1, wherein: the output end of the central processing unit is connected with the input end of the output module, the output module comprises a decoding monitor and an external sound playing device, the decoding monitor is electrically connected with the external sound playing device in a two-way mode through a wire harness, the input end of the central processing unit is connected with the output end of the input module, and the input module comprises a video recorder, a network interface device and a router.
6. The AI camera and the control system thereof capable of recognizing fire according to claim 1, wherein: the fire alarm processing module comprises a real-time image speckle pattern and an analysis generator, and the output end of the fire alarm processing module is connected with the input end of the remote monitoring and storage unit through the MODEM module.
7. The AI camera and the control system thereof capable of recognizing fire according to claim 1, wherein: the remote commanding module comprises an image diagraph, a monitoring television wall and a data feedback device, the output end of the remote commanding module is connected with the MCU information module and the output end of the MCU information module, and the output end of the MCU information module is connected with the input end of the storage service module.
8. The AI camera and the control system thereof capable of recognizing fire according to claim 1, wherein: the storage service module comprises a data storage, a data flash memory and a wireless communicator, wherein the output end of the data storage is connected with the input end of the data feedback device.
9. The AI camera and the control system thereof capable of recognizing fire according to claim 1, wherein: the platform service terminal comprises a management port, a central grid point and remote communication equipment, wherein the output end of the management port is connected with the input end of the central grid point, and the central grid point is electrically connected with the remote communication equipment in a bidirectional mode through an electric signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210804011.XA CN115223325A (en) | 2022-07-07 | 2022-07-07 | AI camera capable of identifying fire and control system thereof |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210804011.XA CN115223325A (en) | 2022-07-07 | 2022-07-07 | AI camera capable of identifying fire and control system thereof |
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| CN115223325A true CN115223325A (en) | 2022-10-21 |
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| CN202210804011.XA Pending CN115223325A (en) | 2022-07-07 | 2022-07-07 | AI camera capable of identifying fire and control system thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116151755A (en) * | 2022-11-18 | 2023-05-23 | 深圳市东宝信息技术有限公司 | Personnel information intelligent evaluation analysis system |
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