CN110400468A - A kind of low speed in long tunnel is with shooting system - Google Patents
A kind of low speed in long tunnel is with shooting system Download PDFInfo
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- CN110400468A CN110400468A CN201910794088.1A CN201910794088A CN110400468A CN 110400468 A CN110400468 A CN 110400468A CN 201910794088 A CN201910794088 A CN 201910794088A CN 110400468 A CN110400468 A CN 110400468A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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Abstract
The invention discloses the low speed in a kind of long tunnel with shooting system, obtains exercise data stream with shooting system server and inspection mechanism, including fixed point testing agency including being set to the fixed point testing agency of tunnel face, being set in tunnel；Exercise data stream is transmitted to system server by the first communication module；Exercise data stream is analyzed by the study module in system server, and confirms concrete model；According to the learning outcome of concrete model, inspection instruction is issued to inspection mechanism；After inspection mechanism receives inspection instruction, inspection movement can be completed according to described instruction, by, with shooting system server, communication and Data Management Analysis, differentiating different situations in the fixed point testing agency cooperation tunnel of tunnel face, control inspection mechanism action, fastest response is done to the lawbreaker and vehicle that enter tunnel, and warns and reminds illegal activities, while danger early warning is made to the vehicle in tunnel, actively prevent potential dangerous security risk in reduction tunnel.
Description
Technical field
The present invention relates to the low speed in Traffic monitoring technical field more particularly to a kind of long tunnel with shooting system.
Background technique
Tunnel is an important location of road, carries most vehicle on road, the current safety in tunnel
Always one of the focus that pays attention to of traffic control department.Recently as the continuous development of urban construction, the continuous expansion of city size,
The continuous increase of traffic pressure！In Municipal engineering project, the quantity in urban transportation tunnel and high-speed transit tunnel and
Scale is constantly riseing, and tunnel operation security has attracted increasing attention！It is car lane pedestrian unrest road in tunnel, non-maneuver
The danger that vehicle is strayed into generation is ridden, and agri-vehicle accidentally sails the traffic pressure and hidden peril of accident of tunnel generation, compact car, large size
Vehicle runs at a low speed the traffic pressure and hidden trouble of traffic of generation in violation of rules and regulations, traditional capturing system be usually 24 hours along guide rail back and forth
Operation, it is passively lasting to being monitored in tunnel, there are the drawbacks of be when tunnel is longer, if capturing system is run to tunnel
Tail, and illegal activities tunnel face occur when, capturing system can not be concerned about tunnel face, and there is a situation where only work as capturing system
It reruns after an impulse stroke, the exception information in tunnel can be obtained, not only cause information delay, related personnel can not obtain
It wins the confidence breath, and can not remind and warn the illegal activities into tunnel, so that the hidden danger for sending traffic accident in tunnel increases.
Summary of the invention
The present invention is in view of the shortcomings of the prior art, provide a kind of low speed in the higher long tunnel of initiative with shooting system, energy
The illegal activities entered in tunnel are responded in enough short periods.
In order to solve the above technical problems, the present invention is addressed by the following technical programs: the low speed in a kind of long tunnel
With shooting system, including be set to the fixed point testing agency of tunnel face, be set in tunnel with shooting system server and inspection
Mechanism includes the following steps: Step 1: pinpointing testing agency obtains exercise data stream；Step 2: exercise data stream passes through first
Communication module is transmitted to system server；Step 3: analyzing exercise data stream by the study module in system server, and really
Recognize concrete model；Step 4: issuing inspection instruction to inspection mechanism according to the learning outcome of concrete model；Step 5: work as inspection
After mechanism receives inspection instruction, inspection movement can be completed according to described instruction.
In above-mentioned technical proposal, the exercise data stream is video flowing.
In above-mentioned technical proposal, the study module includes the first study module, the second study module and third
Module is practised, when exercise data stream is uploaded to system server, first by the first study module to the object in exercise data stream
Body is identified, and the tool for judging object if the tool judged meets first kind situation as model, is directly sentenced as model
Be set to exception, then skip the second study module and be directly entered in third study module progress scene study, if the tool judged as
When model does not meet first kind situation, tool is obtained as the speed of model as model depth study to tool by the second study module
Information, and calculate and have as whether the velocity information of model abnormal, when tool does not meet systemic presupposition value as the velocity information of model, sentence
Determine exercise data throat floater, then scene study is carried out to abnormal exercise data stream by third study module, and according to study
As a result inspection instruction is sent.
In above-mentioned technical proposal, when the exercise data determined in the second study module is normal, system server refreshes, existing
Some data will newly be obtained the covering of exercise data stream.
In above-mentioned technical proposal, first study module, second study module and the third study module
In be all made of YOLOV3 algorithm.
In above-mentioned technical proposal, the inspection instruction is instructed including pedestrian with scene, non-motor vehicle uses scene instruction,
Agri-vehicle is instructed with scene instruction, motor vehicles with scene.
In above-mentioned technical proposal, the fixed point testing agency is high-definition camera.
In above-mentioned technical proposal, the inspection mechanism includes audio and inspection host, is provided on the inspection host
Patrol checking server, main control module, motion module, the second communication module, alarm warning module, radar module and holder module.
In above-mentioned technical proposal, the transmission mode of the exercise data stream and inspection instruction passes through wifi or 4g/
5g network.
Compared with prior art, the application has the following beneficial effects: under normal conditions, and car lane pedestrian is random in tunnel
The danger that road, non-motor vehicle are strayed into generation is ridden, and agri-vehicle accidentally sails the traffic pressure and hidden peril of accident of tunnel generation
To be begun to from tunnel face, therefore, by tunnel face fixed point testing agency cooperate tunnel in shooting system service
Device differentiates different situations by communication and Data Management Analysis, controls inspection mechanism action, to the illegal of entrance tunnel
Personnel and vehicle make most fast response, and warn and remind illegal activities, while making danger early warning to the vehicle in tunnel,
Actively prevent potential dangerous security risk in reduction tunnel.
Specific embodiment
Present invention is further described in detail With reference to embodiment.
Embodiment 1, when occur pedestrian use scene, the system utilization it is as follows.
A kind of low speed in long tunnel with shooting system, including be set to tunnel face for car lane on the outside of tunnel face into
The fixed point testing agency of row detection is suitble to fixed point testing agency and crusing robot logical with the setting of shooting system server in tunnel
Believe good set-point, inspection mechanism is arranged on the guide rail in tunnel, includes the following steps: Step 1: pinpointing testing agency
Exercise data stream is obtained, the various moving objects that will enter tunnel are captured by fixed point testing agency, and will be after candid photograph
Obtained various exercise data streams；Pinpoint testing agency is high definition imaging camera machine, and the imaging definition of video camera is
Certain, because this time the data flow of acquisition is both for low speed object moving；
Step 2: capturing obtained video flowing the first communication module being located on system server in the form of data traffic
System server is uploaded to,
Step 3: system server receives the data flow of fixed point testing agency transmission, data stream transmitting is given to the first study module,
The various objects run in the exercise data stream that YOLOV3 can transmit system are screened, and the model for having built up completion is compared
Model in library confirms the tool of object moving on car lane as model is pedestrian, non-motor vehicle, agri-vehicle；Third study
Module to the pedestrian of identification, non-motor vehicle, agri-vehicle tool as model carry out scene study, by in third study module
It is compared with scene library content, confirms that abnormal scene is that pedestrian uses scene；
Step 4: system server can will test pedestrian's fortune after third study module identification scene is that pedestrian uses scene
The patrol checking server of inspection mechanism is uploaded to scene instruction；
Step 5: main control module control motion module runs to fixed point inspection after patrol checking server receives pedestrian with scene instruction
It surveys mechanism and detects the tunnel face occurred extremely, the abnormal line trace of going forward side by side of confirmation, while main control module controls the second communication module
To the distributed audio communication in tunnel, the voice broadcast of the time difference is carried out to the vehicle run in tunnel, prompts tunnel face motor-driven
Lane pedestrian's mistake road, vehicle drive with caution, while the in-house alarm modules set certainly of inspection can be continued working uninterruptedly, be prompted
Pedestrian leaves car lane, and warns to vehicular traffic around pedestrian, and radar module track really to the exception of car lane
Recognize, detects that tunnel car lane restores normal to radar module, each module response releases, and autonomous inspection restores in inspection mechanism.
Long tunnel under normal circumstances there is no the road behavior of pedestrian's mistake, this scene be intended to occur under special fortuitous event to
Tunnel face or the pedestrian that will enter on the car lane in tunnel make protection, actively prevent potential dangerous.
Embodiment 2, when occur non-motor vehicle use scene, the system utilization it is as follows.
A kind of low speed in long tunnel with shooting system, including be set to tunnel face for car lane on the outside of tunnel face into
The fixed point testing agency of row detection is suitble to fixed point testing agency and crusing robot logical with the setting of shooting system server in tunnel
Believe good set-point, inspection mechanism is arranged on the guide rail in tunnel, includes the following steps: Step 1: pinpointing testing agency
Exercise data stream is obtained, the various moving objects that will enter tunnel are captured by fixed point testing agency, and will be after candid photograph
Obtained various exercise data streams；Pinpoint testing agency is high definition imaging camera machine, and the imaging definition of video camera is
Certain, because this time the data flow of acquisition is both for low speed object moving；
Step 2: capturing obtained video flowing the first communication module being located on system server in the form of data traffic
System server is uploaded to,
Step 3: system server receives the data flow of fixed point testing agency transmission, data stream transmitting is given to the first study module,
The various objects run in the exercise data stream that YOLOV3 can transmit system are screened, and the model for having built up completion is compared
Model in library confirms the tool of object moving on car lane as model is pedestrian, non-motor vehicle, agri-vehicle；Third study
Module to the pedestrian of identification, non-motor vehicle, agri-vehicle tool as model carry out scene study, by in third study module
It is compared with scene library content, confirms that abnormal scene is that non-motor vehicle uses scene；
Step 4: system server can will test non-after third study module identification scene is that non-motor vehicle uses scene
Motor vehicle is uploaded to the patrol checking server of inspection mechanism with scene instruction；
Step 5: after patrol checking server receives non-motor vehicle with scene instruction, it is fixed that main control module control motion module is run to
Point testing agency detects the tunnel face occurred extremely, the abnormal line trace of going forward side by side of confirmation, while the second communication of main control module control
Module is communicated to distributed audio in tunnel, when non-motor vehicle does not enter tunnel, carries out the time difference to the vehicle run in tunnel
Voice broadcast, prompt tunnel face non-motor vehicle that will drive into tunnel, traffic drives with caution, while being located at abnormal tunnel face
The inspection mechanism of top sounds an alarm non-motor vehicle and it is notified not drive into tunnel, and leaves safely, if it does not listen advice
Continue to travel, inspection mechanism main control module communication control module is communicated to distributed audio again, to the vehicle run in long tunnel
Carry out the time difference voice broadcast, warning non-motor vehicle be strayed into tunnel, ask traffic to drive with caution, the cloud in inspection mechanism
Platform module can carry out candid photograph evidence obtaining, while alarm voice module non-stop run to it, radar module it is abnormal to car lane into
Line trace confirmation restores normal to radar module detection tunnel car lane, and each module accordingly releases, and inspection mechanism restores autonomous
Inspection.
There is no non-motor vehicles to ride under normal circumstances for long tunnel, this scene is intended to surprisingly drive into tunnel to special occasions
Non-motor vehicle protected.
Embodiment 3, when occur agri-vehicle use scene, the system utilization it is as follows.
A kind of low speed in long tunnel with shooting system, including be set to tunnel face for car lane on the outside of tunnel face into
The fixed point testing agency of row detection is suitble to fixed point testing agency and crusing robot logical with the setting of shooting system server in tunnel
Believe good set-point, inspection mechanism is arranged on the guide rail in tunnel, includes the following steps: Step 1: pinpointing testing agency
Exercise data stream is obtained, the various moving objects that will enter tunnel are captured by fixed point testing agency, and will be after candid photograph
Obtained various exercise data streams；Pinpoint testing agency is high definition imaging camera machine, and the imaging definition of video camera is
Certain, because this time the data flow of acquisition is both for low speed object moving；
Step 2: capturing obtained video flowing the first communication module being located on system server in the form of data traffic
System server is uploaded to,
Step 3: system server receives the data flow of fixed point testing agency transmission, data stream transmitting is given to the first study module,
The various objects run in the exercise data stream that YOLOV3 can transmit system are screened, and the model for having built up completion is compared
Model in library confirms the tool of object moving on car lane as model is pedestrian, non-motor vehicle, agri-vehicle；Third study
Module to the pedestrian of identification, non-motor vehicle, agri-vehicle tool as model carry out scene study, by in third study module
It is compared with scene library content, confirms that abnormal scene is that agri-vehicle uses scene；
Step 4: system server can will test agriculture after third study module identification scene is that agri-vehicle uses scene
The patrol checking server of inspection mechanism is uploaded to scene instruction with vehicle；
Step 5: main control module control motion module runs to fixed point after inspection mechanism receives agri-vehicle with scene instruction
Testing agency detects the tunnel face occurred extremely, the abnormal line trace of going forward side by side of confirmation, while main control module communication control module is given
Distributed audio communicates in tunnel, and when agri-vehicle does not enter tunnel, the voice of the time difference is carried out to the vehicle run in tunnel
Casting prompts tunnel face agri-vehicle that will drive into tunnel, and traffic drives with caution.It is located above abnormal tunnel face simultaneously
Inspection mechanism sounds an alarm agri-vehicle and it is notified not drive into tunnel, and leaves safely, if it does not listen advice after continuing
It sails, inspection mechanism main control module communication control module is communicated to distributed audio again, is carried out to the vehicle run in long tunnel
The voice broadcast of the time difference, warning agri-vehicle are strayed into tunnel, ask traffic to drive with caution, inspection machine user tripod head module and meeting
A candid photograph evidence obtaining, while alarm voice module non-stop run are carried out to it, and the traffic around agricultural vehicle is shown
It is alert, and front vehicle is prompted to drive safely, it please don't overtake other vehicles, radar module carries out tracking confirmation to car lane extremely, to agricultural
Vehicle leaves tunnel, and radar module detects tunnel car lane and restores normal, and each module accordingly releases, and inspection mechanism restores autonomous
Inspection.
Tunnel often has agri-vehicle to be strayed into happen, and what tunnel generated, which overtake other vehicles and knock into the back, happens occasionally, this scene is intended to
Agri-vehicle itself and front vehicle are protected.
Embodiment 4, when occur motor vehicles use scene, the system utilization it is as follows.
A kind of low speed in long tunnel with shooting system, including be set to tunnel face for car lane on the outside of tunnel face into
The fixed point testing agency of row detection is suitble to fixed point testing agency and crusing robot logical with the setting of shooting system server in tunnel
Believe good set-point, inspection mechanism is arranged on the guide rail in tunnel, includes the following steps: Step 1: pinpointing testing agency
Exercise data stream is obtained, the various moving objects that will enter tunnel are captured by fixed point testing agency, and will be after candid photograph
Obtained various exercise data streams；Pinpoint testing agency is high definition imaging camera machine, and the imaging definition of video camera is
Certain, because this time the data flow of acquisition is both for low speed object moving；
Step 2: capturing obtained video flowing the first communication module being located on system server in the form of data traffic
System server is uploaded to,
Step 3: system server receives the data flow of fixed point testing agency transmission, data stream transmitting is given to the first study module,
The various objects run in the exercise data stream that YOLOV3 can transmit system are screened, and the model for having built up completion is compared
Model in library confirms the tool of object moving on car lane as model is motor vehicle (including trolley, motorcycle, lorry)；With
Afterwards have motor vehicle as model depth study by the second study module, obtains the velocity information having as model, the view pulled out
Frequency stream calculates the speed of object, obtains a values for actual speed V, and a speed pre-settings lowest bid is set in YOLOV3
Quasi- V0, when values for actual speed V is less than the speed pre-settings standard V0 of setting, confirmation motor vehicle is operating abnormally, and otherwise, which will
It can be covered by new exercise data stream；Third study module as model progress scene study, leads to the motorcycle model tool of identification
It crosses and uses scene with comparing in third study module with scene library content, the abnormal scene of confirmation for motor vehicles；
Step 4: system server can will test machine after third study module identification scene is that motor vehicles use scene
Motor-car is uploaded to the patrol checking server of inspection mechanism with scene instruction；
Step 5: main control module control motion module runs to fixed point after inspection mechanism receives agri-vehicle with scene instruction
Testing agency detects the tunnel face occurred extremely, the abnormal line trace of going forward side by side of confirmation, the main control module communication control of inspection mechanism
Module is communicated to distributed audio, and the voice broadcast of the time difference is carried out to the vehicle run in long tunnel, and warning tunnel has vehicle different
Often traveling, asks traffic to drive with caution, and inspection mechanism holder module simultaneously can carry out a candid photograph evidence obtaining to it, while alarm language
Sound module non-stop run, warns to the traffic around abnormal motor vehicle, and front vehicle is prompted to drive safely, asks
It does not overtake other vehicles, radar module carries out tracking confirmation to car lane extremely, restores normally travel to motor vehicles or leaves tunnel, thunder
Restore normal up to module detection tunnel car lane, each module accordingly releases, and autonomous inspection restores in inspection mechanism.
Often there is motor vehicles low-velocity anomal traveling in tunnel, brings tunnel current very big hidden trouble of traffic, this scene is intended to
Hidden danger is checked in tunnel face in advance, and the accident potential in tunnel is brought to avoid driving vehicle abnormal in tunnel.
Protection scope of the present invention includes but is not limited to embodiment of above, and protection scope of the present invention is with claims
Subject to, replacement, deformation, the improvement that those skilled in the art that any pair of this technology is made is readily apparent that each fall within of the invention
Protection scope.
Claims (9)
1. the low speed in a kind of long tunnel is with shooting system, which is characterized in that including being set to the fixed point testing agency of tunnel face, setting
Be placed in tunnel with shooting system server and inspection mechanism, include the following steps: Step 1: pinpoint testing agency obtain fortune
Dynamic data flow；Step 2: exercise data stream is transmitted to system server by the first communication module；Step 3: being taken by system
The study module being engaged in device analyzes exercise data stream, and confirms concrete model；Step 4: according to the learning outcome of concrete model,
Inspection instruction is issued to inspection mechanism；Step 5: after inspection mechanism receives inspection instruction, inspection can be completed according to described instruction
Movement.
2. the low speed in a kind of long tunnel according to claim 1 is with shooting system, which is characterized in that the exercise data stream
For video data.
3. the low speed in a kind of long tunnel according to claim 1 is with shooting system, which is characterized in that the study module
Including the first study module, the second study module and third study module, when exercise data stream is uploaded to system server,
The object in exercise data stream is identified by the first study module first, and judges the tool of object as model, if sentencing
It is disconnected go out tool when meeting first kind situation as model, then be directly determined as exception, then skip the second study module and be directly entered the
Scene study is carried out in three study modules, if the tool judged does not meet first kind situation as model, passes through the second study mould
Block, as model depth study, obtains tool as the velocity information of model to tool, and calculates and have as whether the velocity information of model is abnormal,
When tool does not meet systemic presupposition value as the velocity information of model, exercise data throat floater is determined, then pass through third study module pair
Abnormal exercise data stream carries out scene study, and sends inspection instruction according to learning outcome.
4. the low speed in a kind of long tunnel according to claim 3 is with shooting system, which is characterized in that when the second study module
When the exercise data of middle judgement is normal, system server refreshes, and existing data cover the exercise data stream newly obtained, the
Two study modules continue to identify the exercise data stream after refreshing.
5. the low speed in a kind of long tunnel according to claim 3 is with shooting system, which is characterized in that the first study mould
YOLOV3 algorithm has been all made of in block, second study module and the third study module.
6. the low speed in a kind of long tunnel according to claim 1 is with shooting system, which is characterized in that the inspection instruction packet
It includes pedestrian and uses scene instruction, motor vehicles with scene with scene instruction, agri-vehicle with scene instruction, non-motor vehicle
Instruction.
7. the low speed in a kind of long tunnel according to claim 1 is with shooting system, which is characterized in that the fixed point detection machine
Structure is high-definition camera.
8. the low speed in a kind of long tunnel according to claim 1 is with shooting system, which is characterized in that inspection mechanism packet
Audio and inspection host are included, patrol checking server, main control module, motion module, the second communication are provided on the inspection host
Module, alarm warning module, radar module and holder module.
9. the low speed in a kind of long tunnel according to claim 1 is with shooting system, which is characterized in that the exercise data stream
And the transmission mode of inspection instruction passes through wifi 4g/5g network.
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