CN109740663A - A kind of dredging abortion system and method based on depth AI algorithm - Google Patents
A kind of dredging abortion system and method based on depth AI algorithm Download PDFInfo
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- CN109740663A CN109740663A CN201811621777.4A CN201811621777A CN109740663A CN 109740663 A CN109740663 A CN 109740663A CN 201811621777 A CN201811621777 A CN 201811621777A CN 109740663 A CN109740663 A CN 109740663A
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Abstract
The invention discloses a kind of dredging abortion systems based on depth AI algorithm, including data transmission terminal, the data transmission terminal connecting pin is respectively equipped with information collection end and information transmission end, the data transmission terminal output end is equipped with server and data processing end, and the data processing end includes data reception module, characteristic extracting module, Characteristic Contrast module, feature inference module, feature prediction module and data transmission module.The present invention is by being equipped with data processing end and database, data processing end internal feature extraction module stores data progress feature extraction and comparison under the same terms in storing data and Ethernet to data library, feature prediction module and feature inference module can calculate flow direction and the flowing velocity of stream of people's maximum probability, and provide the best method and route that flow dredging, so as to effectively be dredged under unexpected situation or in the case that the stream of people is more to the stream of people convenient for staff, it is capable of the injures and deaths of maximum reduction personnel.
Description
Technical field
The present invention relates to field of security systems, in particular to a kind of dredging abortion system and side based on depth AI algorithm
Method.
Background technique
Many times we can see the generation of some contingencies, ground especially more in flow of the people in news
Side, it is easy to there are the injures and deaths of personnel, contingency in many cases not will cause the injures and deaths of personnel, but the fear of crowd and
Dredge it is unfavorable there is tread event and lead to a large amount of injury to personnel or even death condition occur, therefore, invent a kind of based on depth
The dredging abortion system and method for AI algorithm are necessary to solve the above problems.
Summary of the invention
The purpose of the present invention is to provide a kind of dredging abortion system and method based on depth AI algorithm, by being equipped with number
According to processing end and database, data processing end internal feature extraction module is to the same terms on data database storing and Ethernet
Lower data carry out feature extraction and comparison, while can calculate stream of people's maximum by feature prediction module and feature inference module
The flow direction of probability and flowing velocity, and the best method and route that flow dredging are provided, so as to be convenient for work people
Member is effectively dredged under unexpected situation or to the stream of people in the case that stream of people is more, is capable of the wound of maximum reduction personnel
It dies, not will cause the injures and deaths of personnel to solve contingency in many cases, but the fear of crowd and dredge unfavorable step on
The event of stepping on causes a large amount of injury to personnel the problem of death condition even occur.
To achieve the above object, the invention provides the following technical scheme: a kind of dredging stream of people system based on depth AI algorithm
System and method, including data transmission terminal, the data transmission terminal connecting pin are respectively equipped with information collection end and information transmission end, institute
Data transmission terminal output end is stated equipped with server and data processing end, the data processing end includes data reception module, feature
Extraction module, Characteristic Contrast module, feature inference module, feature prediction module and data transmission module, the server sum number
It is interconnected according to processing end and output end is equipped with management end, be connected separately with and checked by transmission cable on the outside of the management end
End, touch-control end and alarm end.
Preferably, the data transmission terminal, information collection end and information transmission end quantity are disposed as multiple, the data
Transmission end is arranged according to region area, and the multiple data transmission terminal is respectively used to data and information in transmission corresponding region.
Preferably, the information collection end includes infrared thermal imager and camera, and the information transmission end includes voice
Broadcast device, indicator panel and indicator light.
Preferably, the server connecting pin is equipped with database, the server via Ethernet transmission cable and data
Processing end connection.
Preferably, data reception module transmission end and server data for receiving data, the data reception
Block connecting pin is respectively equipped with data reception module, characteristic extracting module and Characteristic Contrast module, the characteristic extracting module connection
End is equipped with feature inference module and feature prediction module, and the feature inference module and feature prediction module connecting pin are equipped with number
According to transmission module, Ethernet is connected on the outside of the data processing end.
Preferably, described to check that end includes multiple display screens, for checking information collection end acquisition information and data processing
Processing result is held, the touch-control end includes multiple control switches, is worked for control system equipment, and the alarm end includes
Alarm device and alarm transmitting device, for reminding in emergency situations staff.
Preferably, the method for dredging the stream of people based on depth AI algorithm that the present invention also provides a kind of, uses the present invention to provide
The dredging abortion system based on depth AI algorithm, specific steps are as follows:
Step 1: people information in information collection end (2) pickup area simultaneously transmits acquisition data to data transmission terminal (1), more
Data in region are transmitted to data processing end (5) respectively and are analyzed and handled by a data transmission terminal (1)；
Step 2: data reception module (51) receives data transmission terminal (1) transmitting data information row information key feature of going forward side by side and mentions
It takes, obtains the people information in different zones, while extracting stream of people flow direction and speed under the same terms by connecting Ethernet
Degree obtains the reasoning results by feature inference module (54) and feature prediction module (55) and is passed by data transmission module (56)
Transport to server (4) and management end (6)；
Step 3: information that server (4) receives that data processing end (5) treated and be marked according to the different periods and
In record to database (41), while it is repeatedly right that the data information recorded before can be fed back to data processing end (5) progress
Than；
Step 4: staff is by checking that end (7) checks that information collection end (2) acquire information and data processing end (5) reasoning
As a result, can simultaneously be worked by equipment different in touch-control end (8) control system, at the same when flow of the people beyond early warning value or
In the case of there is contingency, alarm end (9), which send a warning, reminds staff；
Step 5: the manipulation instruction that data processing end (5) receive staff manipulates touch-control end (8) regulation and controlling of information transmission end (3)
Work dredge the stream of people, or after obtaining data processing end (5) reasoning optimization process as a result, according to the optimization process result
Manipulation touch-control end (8) regulation and controlling of information transmission end (3) work carries out dredging the stream of people, and management end (6) transmission dredges signal to server
(4) after, server (4) is transmitted to the data transmission terminal (1) in different zones, and data transmission terminal (1) is by transmitting information to
Information transmission end (3) carries out the combing stream of people, and the personnel of working at the same time can also be believed by touch-control end (8) transmitting voice information and video
It ceases to information transmission end (3).
Technical effect and advantage of the invention:
1, by being equipped with data processing end and database, data processing end internal feature extraction module stores storage number to data inventory
Feature extraction and comparison are carried out according to data under the same terms on Ethernet, while passing through feature prediction module and feature inference mould
Block can calculate flow direction and the flowing velocity of stream of people's maximum probability, and provide best method and the road of flowing dredging
Line, so as to effectively be dredged under unexpected situation or in the case that the stream of people is more to the stream of people convenient for staff, energy
The injures and deaths of enough maximum reduction personnel；
2, by being equipped with information collection end and data transmission terminal, infrared thermal imager and camera acquire in corresponding region respectively
Acquisition data are simultaneously transmitted to the data transmission terminal in region by people information, and multiple data transmission terminals are respectively by collected data
It is transmitted to data processing end, data transmission terminal is configured by region, can be had comprehensively to the stream of people in different zones
Solution, it can be ensured that the accuracy of data is convenient for carrying out the stream of people in different zones region division and region dredging simultaneously, and
Stream of people's trend can be grasped while dredging comprehensively；
3, by being equipped with information transmission end and management end, in the case of flow of the people exceeds early warning value or contingency occurs, alarm
End, which sends a warning, reminds staff, and staff can be worked by equipment different in touch-control end control system
The dredging for pedestrian stream of going forward side by side, the personnel of working at the same time can also be transmitted by touch-control end transmitting voice information and video information to information
End significantly more efficient can dredge crowd convenient for reducing the fear of personnel.
Detailed description of the invention
Fig. 1 is overall flow schematic diagram of the invention；
Fig. 2 is data processing end schematic diagram of the invention；
In figure: 1 data transmission terminal, 2 information collection ends, 21 infrared thermal imagers, 22 cameras, 3 information transmission end, 31 voices are broadcast
Report device, 32 indicator panels, 33 indicator lights, 4 servers, 41 databases, 5 data processing ends, 51 data reception modules, 52 feature extractions
Module, 53 Characteristic Contrast modules, 54 feature inference modules, 55 feature prediction modules, 56 data transmission modules, 6 management ends, 7 are looked into
See end, 8 touch-control ends, 9 alarm ends.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The present invention provides a kind of dredging abortion systems based on depth AI algorithm as shown in Figs. 1-2, including data to pass
Defeated end 1,1 connecting pin of data transmission terminal are respectively equipped with information collection end 2 and information transmission end 3, and the data transmission terminal 1 is defeated
Outlet is equipped with server 4 and data processing end 5, and the data processing end 5 includes data reception module 51, characteristic extracting module
52, Characteristic Contrast module 53, feature inference module 54, feature prediction module 55 and data transmission module 56,4 He of server
Data processing end 5 is interconnected and output end is equipped with management end 6, is connected separately on the outside of the management end 6 by transmission cable
Check end 7, touch-control end 8 and alarm end 9.
The data transmission terminal 1, information collection end 2 and 3 quantity of information transmission end are disposed as multiple, the data transmission
End 1 is arranged according to region area, and the multiple data transmission terminal 1 is respectively used to data and information in transmission corresponding region.
The information collection end 2 includes infrared thermal imager 21 and camera 22, and the information transmission end 3 is broadcast including voice
Report device 31, indicator panel 32 and indicator light 33.
Infrared thermal imager 21 and camera 22 acquire the people information in corresponding region respectively and will acquisition data transmission
Collected data are transmitted to data processing end 5 respectively, will counted by the data transmission terminal 1 in region, multiple data transmission terminals 1
Be configured according to transmission end 1 by region, can have comprehensive understanding to the stream of people in different zones, it can be ensured that data it is accurate
Property simultaneously be convenient for in different zones the stream of people carry out region division and region dredging, and dredging while can grasp comprehensively
Stream of people's trend.
4 connecting pin of server is equipped with database 41, and the server 4 passes through Ethernet transmission cable and data processing
5 connection of end.
The data reception module 51 4 data of transmission end 1 and server for receiving data, the data reception module 51
Connecting pin is respectively equipped with data reception module 51, characteristic extracting module 52 and Characteristic Contrast module 53, the characteristic extracting module
52 connecting pins are equipped with feature inference module 54 and feature prediction module 55, the feature inference module 54 and feature prediction module 55
Connecting pin is equipped with data transmission module 56, is connected with Ethernet on the outside of the data processing end 5.
Machine learning by algorithm machine can be learnt from the mass data of external world's input to rule, to carry out
Identification judgement, the essence of depth is exactly the layered structure for passing through foundation, simulating human brain, to externally input sound, image, text
The data such as this carry out the feature extraction from rudimentary to advanced, deep compared with traditional learning structure so as to explain external data
The depth of model structure is more emphasized in degree study, usually contains the hidden node of multilayer, and in deep learning, feature learning
It is most important, last prediction and identification are completed by the layer-by-layer transformation of feature.
5 internal feature extraction module 52 of data processing end stores the same terms in storing data and Ethernet to database 41
Lower data carry out feature extraction and comparison, while can calculate stream of people's maximum by feature prediction module and feature inference module
The flow direction of probability and flowing velocity, and the best method and route that flow dredging are provided, so as to be convenient for work people
Member is effectively dredged under unexpected situation or to the stream of people in the case that stream of people is more, is capable of the wound of maximum reduction personnel
It dies.
It is described to check that end 7 includes multiple display screens, for checking that information collection end 2 acquires at information and data processing end 5
Reason as a result, the touch-control end 8 include multiple control switches, work for control system equipment, the alarm end 9 include police
Device and alarm transmitting device are reported, for reminding in emergency situations staff.
When flow of the people is beyond early warning value or in the case of there is contingency, alarm end 9, which sends a warning, reminds work people
Member, staff can carry out work by equipment different in 8 control system of touch-control end and go forward side by side the dredging of pedestrian stream, while work
Making personnel can also be by 8 transmitting voice information of touch-control end and video information to information transmission end 3, convenient for reducing fearing for personnel
Unbearably, significantly more efficient crowd can be dredged.
A method of the dredging stream of people based on depth AI algorithm, specific steps are as follows:
Step 1: people information in 2 pickup area of information collection end simultaneously transmits acquisition data to data transmission terminal 1, multiple numbers
The data in region data processing end 5 is transmitted to respectively according to transmission end 1 to be analyzed and handled；
Step 2: data reception module 51 receive 1 transmitting data information of data transmission terminal go forward side by side row information key feature extraction, obtain
People information in different zones out, while stream of people flow direction and speed under the same terms are extracted by connecting Ethernet, lead to
It crosses feature inference module 54 and feature prediction module 55 obtains the reasoning results and is transmitted to server 4 by data transmission module 56
With management end 6；
Step 3: information that server 4 receives that treated at data processing end 5 is simultaneously marked and records according to the different periods
To database 41, while the data information recorded before can be fed back into data processing end 5 and repeatedly be compared；
Step 4: staff holds 7 to check that information collection end 2 acquires information and 5 the reasoning results of data processing end by checking, and
It can be worked by equipment different in 8 control system of touch-control end, while when flow of the people beyond early warning value or occurs unexpected
In the case of accident, alarm end 9, which sends a warning, reminds staff；
Step 5: staff can manipulate the work of 8 regulation and controlling of information transmission end 3 of touch-control end by 5 the reasoning results of data processing end
It carries out dredging the stream of people, while optimization process result is dredged after also can choose 5 reasoning of data processing end, management end 6 is transmitted
After dredging signal to server 4, server 4 is transmitted to the data transmission terminal 1 in different zones, and data transmission terminal 1 will be by that will believe
Breath is transmitted to information transmission end 3 and carries out the combing stream of people, and the personnel of working at the same time can also pass through 8 transmitting voice information of touch-control end and view
Frequency information significantly more efficient can dredge crowd convenient for reducing the fear of personnel to information transmission end 3.
Finally, it should be noted that the foregoing is only a preferred embodiment of the present invention, it is not intended to restrict the invention,
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art, still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features,
All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in of the invention
Within protection scope.
Claims (7)
1. a kind of dredging abortion system based on depth AI algorithm, including data transmission terminal (1), it is characterised in that: the data
Transmission end (1) connecting pin is respectively equipped with information collection end (2) and information transmission end (3), and data transmission terminal (1) output end is set
There are server (4) and data processing end (5), the data processing end (5) includes data reception module (51), characteristic extracting module
(52), Characteristic Contrast module (53), feature inference module (54), feature prediction module (55) and data transmission module (56), institute
It states server (4) and data processing end (5) are interconnected and output end is equipped with management end (6), pass through on the outside of the management end (6)
Transmission cable, which is connected separately with, checks end (7), touch-control end (8) and alarm end (9).
2. a kind of dredging abortion system based on depth AI algorithm according to claim 1, it is characterised in that: the data
Transmission end (1), information collection end (2) and information transmission end (3) quantity are disposed as multiple, data transmission terminal (1) basis
Region area setting, the multiple data transmission terminal (1) are respectively used to data and information in transmission corresponding region.
3. a kind of dredging abortion system based on depth AI algorithm according to claim 1, it is characterised in that: the information
Collection terminal (2) includes infrared thermal imager (21) and camera (22), and the information transmission end (3) includes voice announcer
(31), indicator panel (32) and indicator light (33).
4. a kind of dredging abortion system based on depth AI algorithm according to claim 1, it is characterised in that: the service
Device (4) connecting pin is equipped with database (41), and the server (4) is connected to by Ethernet transmission cable with data processing end (5).
5. a kind of dredging abortion system based on depth AI algorithm according to claim 1, it is characterised in that: the data
Receiving module (51) for receiving data divide by transmission end (1) and server (4) data, data reception module (51) connecting pin
Not She You data reception module (51), characteristic extracting module (52) and Characteristic Contrast module (53), the characteristic extracting module
(52) connecting pin is equipped with feature inference module (54) and feature prediction module (55), and the feature inference module (54) and feature are pre-
It surveys module (55) connecting pin to be equipped with data transmission module (56), is connected with Ethernet on the outside of the data processing end (5).
6. a kind of dredging abortion system based on depth AI algorithm according to claim 1, it is characterised in that: described to check
Holding (7) includes multiple display screens, described for checking information collection end (2) acquisition information and data processing end (5) processing result
Touch-control end (8) includes multiple control switches, is worked for control system equipment, the alarm end (9) include alarm device and
Alarm transmitting device, for reminding in emergency situations staff.
7. a kind of method of the dredging stream of people based on depth AI algorithm, it is characterised in that: using as described in claim 1-6 is any
Based on depth AI algorithm dredging the stream of people system, specific steps are as follows:
Step 1: people information in information collection end (2) pickup area simultaneously transmits acquisition data to data transmission terminal (1), more
Data in region are transmitted to data processing end (5) respectively and are analyzed and handled by a data transmission terminal (1)；
Step 2: data reception module (51) receives data transmission terminal (1) transmitting data information row information key feature of going forward side by side and mentions
It takes, obtains the people information in different zones, while extracting stream of people flow direction and speed under the same terms by connecting Ethernet
Degree obtains the reasoning results by feature inference module (54) and feature prediction module (55) and is passed by data transmission module (56)
Transport to server (4) and management end (6)；
Step 3: information that server (4) receives that data processing end (5) treated and be marked according to the different periods and
In record to database (41), while it is repeatedly right that the data information recorded before can be fed back to data processing end (5) progress
Than；
Step 4: staff is by checking that end (7) checks that information collection end (2) acquire information and data processing end (5) reasoning
As a result, can simultaneously be worked by equipment different in touch-control end (8) control system, at the same when flow of the people beyond early warning value or
In the case of there is contingency, alarm end (9), which send a warning, reminds staff；
Step 5: the manipulation instruction that data processing end (5) receive staff manipulates touch-control end (8) regulation and controlling of information transmission end (3)
Work dredge the stream of people, or after obtaining data processing end (5) reasoning optimization process as a result, according to the optimization process result
Manipulation touch-control end (8) regulation and controlling of information transmission end (3) work carries out dredging the stream of people, and management end (6) transmission dredges signal to server
(4) after, server (4) is transmitted to the data transmission terminal (1) in different zones, and data transmission terminal (1) is by transmitting information to
Information transmission end (3) carries out the combing stream of people, and the personnel of working at the same time can also be believed by touch-control end (8) transmitting voice information and video
It ceases to information transmission end (3).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811621777.4A CN109740663A (en) | 2018-12-28 | 2018-12-28 | A kind of dredging abortion system and method based on depth AI algorithm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811621777.4A CN109740663A (en) | 2018-12-28 | 2018-12-28 | A kind of dredging abortion system and method based on depth AI algorithm |
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| Publication Number | Publication Date |
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| CN109740663A true CN109740663A (en) | 2019-05-10 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201811621777.4A Pending CN109740663A (en) | 2018-12-28 | 2018-12-28 | A kind of dredging abortion system and method based on depth AI algorithm |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110708518A (en) * | 2019-11-05 | 2020-01-17 | 北京深测科技有限公司 | People flow analysis early warning dispersion method and system |
| CN113469282A (en) * | 2021-07-23 | 2021-10-01 | 浙江大华技术股份有限公司 | Feature comparison method, device and system |
-
2018
- 2018-12-28 CN CN201811621777.4A patent/CN109740663A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110708518A (en) * | 2019-11-05 | 2020-01-17 | 北京深测科技有限公司 | People flow analysis early warning dispersion method and system |
| CN113469282A (en) * | 2021-07-23 | 2021-10-01 | 浙江大华技术股份有限公司 | Feature comparison method, device and system |
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