CN109639966A - Vehicle-mounted control method based on Asset supervision - Google Patents
Vehicle-mounted control method based on Asset supervision Download PDFInfo
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- CN109639966A CN109639966A CN201811510794.0A CN201811510794A CN109639966A CN 109639966 A CN109639966 A CN 109639966A CN 201811510794 A CN201811510794 A CN 201811510794A CN 109639966 A CN109639966 A CN 109639966A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/65—Control of camera operation in relation to power supply
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/68—Control of cameras or camera modules for stable pick-up of the scene, e.g. compensating for camera body vibrations
- H04N23/681—Motion detection
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
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Abstract
The invention discloses the vehicle-mounted control methods supervised based on Asset, comprising the following steps: obtains this patrol task, the patrol task includes that inspection route and inspection road produce, and it includes that road produces location information and road production trackside information that the inspection road, which produces,；According to the inspection route, respective routes prompt information is generated；Obtain vehicle real-time positioning information；Location information, the vehicle real-time positioning information and the road are produced according to the road and produces trackside information, generate lane changing prompt information；Location information and the vehicle real-time positioning information are produced according to the road simultaneously, generate speed prompt information.The present invention produces location information by the road produced to inspection road, road produces trackside information and is collected and issues, and realizes to reach in vehicle and remind before road presentation is set driving personnel progress lane prompting and speed, so that reaching road produces the better purpose of shooting effect.
Description
Technical field
The present invention relates to roads to produce management domain, the vehicle-mounted control method based on Asset supervision.
Background technique
Implement road to produce management to be mainly to be responsible for by highway highway law enforcement department, by patrolling daily, satisfies the need and produce feelings
Condition is monitored, and all kinds of damages, theft are reconnoitred and tracked.Main includes three aspects: the claim produced to accident damage road；
(public security department's cooperation) is traced and claimed damages to theft road production case；It is damaged caused by producing Natural Damage, harsh weather all kinds of roads
It is bad, maintenance department is notified in time.Road, which produces, can be divided into means of transportation and affiliated facility, mainly road surface, roadbed, guardrail board, greening
Facility, traffic sign, charge station's facility etc..
The prior art has the following problems road production inspection: (1) reaching road presentation every time and set, by manually carrying out hand
Dynamic shooting, not only needs shut-down operation also to need additional manpower (driver and photographer at least two)；(2) if taken the photograph using fixation
As the mode of head, the physical location of the position and vehicle that can't be produced according to road accordingly prompts driver, so that data beats
It is bad to take the photograph effect.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide the vehicle-mounted control sides supervised based on Asset
Method.
The purpose of the present invention is achieved through the following technical solutions: the vehicle-mounted control side based on Asset supervision
Method, comprising the following steps:
This patrol task is obtained, the patrol task includes that inspection route and inspection road produce, and the inspection road produces packet
It includes road and produces location information and road production trackside information；
According to the inspection route, respective routes prompt information is generated；
Obtain vehicle real-time positioning information；
Location information, the vehicle real-time positioning information and the road are produced according to the road and produces trackside information, generate lane
Convert prompt information；Location information and the vehicle real-time positioning information are produced according to the road simultaneously, generate speed prompt information.
Further, the lane changing prompt information includes: and mentions when road produces location information and closes on road production location information
It is not farthest lane that vehicle is converted into and it is corresponding to produce trackside information with road by the driver that wakes up；The speed prompt information is included in road
When production location information closes on road production location information, remind driver that vehicle is reduced to the minimum speed limit in corresponding lane.
Further, it further includes that road produces elevation information and road production type information that the inspection road, which produces,；The method is also
Include:
Location information and the vehicle real-time positioning information are produced according to the road, controls the vehicle-mounted camera of car-mounted device
It opens and closes；Simultaneously when controlling vehicle-mounted camera unlatching, trackside information is produced according to the road and controls vehicle-mounted camera
Horizontal direction rotate angle, according to the road produce elevation information control vehicle-mounted camera vertical direction rotate angle；
It will be uploaded after the image that the vehicle-mounted camera of control is shot produces location information binding with road.
Further, the method further include:
Server judges whether correct, vehicle-mounted camera angle controls whether just for road production trackside information and road production elevation information
Really and for judging that is produced from inspection road whether need repairing；Specifically use multiple trained depth convolutional neural networks moulds
Type realizes that data are extracted, and each depth convolutional neural networks model corresponds to different types of inspection road and produces；
After getting upload data, is produced in location information acquisition database according to the road uploaded in data correspond to road first
The road for producing location information produces type；Producing type according to obtained road later selects corresponding depth convolutional neural networks model to carry out
Data are extracted and identification；Thinking that is produced from inspection road if output recognition result success is normal condition, otherwise it is assumed that go wrong,
And further judge road produce trackside information and road produce elevation information whether correct, vehicle-mounted camera angle control whether it is correct, with
And whether need repairing for judging that is produced from inspection road:
If continuous multiple identifications go wrong, then it is assumed that vehicle-mounted camera angle controls mistake；If discontinuous more
A identification goes wrong, then further judges to produce in image with the presence or absence of corresponding inspection road, and if so, thinking inspection road
Production needs repairing, if there is no then think road produce trackside information and/or road produce elevation information occur it is abnormal.
Further, the depth convolutional neural networks model includes sequentially connected: the first convolutional layer, volume Two
Lamination, the first down-sampling layer, the first residual error layer, third convolutional layer, the second down-sampling layer, the second residual error layer, Volume Four lamination,
Three down-sampling layers, third residual error layer and full articulamentum, each residual error layer include several residual units；
The training includes:
The inspection road of the corresponding types collected is produced image and is input to the depth convolutional Neural by S1, propagated forward
In network model, loss error is calculated；
S2, backpropagation will lose error update model parameter.
Further, the method also includes:
Patrol task is generated by management terminal and is sent to server；
It goes wrong when judging that is produced from inspection road, server is issued a notice information to management terminal.
Further, the car-mounted device includes:
Wireless communication module, for obtaining this patrol task；
Locating module, for generating vehicle real-time positioning information；
Vehicle-mounted camera is produced for shooting inspection road；
Control module is also used to for reading this patrol task and vehicle real-time positioning information according in patrol task
Inspection Route Generation respective routes prompt information, it is fixed in real time to be also used to produce location information and vehicle according to the road in patrol task
The opening and closing of position information control vehicle-mounted camera are also used to be produced when controlling the vehicle-mounted camera and opening according to the road
Trackside information, which controls the horizontal direction rotation angle of vehicle-mounted camera and produces elevation information according to the road, controls vehicle-mounted pick-up
The vertical direction of head rotates angle；
Nformation alert module, for showing the respective routes prompt information, lane changing prompt information and speed prompt
Information.
Further, the vehicle-mounted camera includes:
Optical lens produces image for shooting inspection road, and output end of image is connect with control module；
Longitudinal gear connects optical lens, for controlling the optical lens vertical direction rotation；
First servo motor, controlled end link control module, control terminal connect longitudinal gear, for controlling longitudinal gear rotation
Turn；
Transverse gear connects longitudinal gear, for controlling the rotation of optical lens horizontal direction by longitudinal gear；
Second servo motor, controlled end link control module, control terminal connect transverse gear, for controlling transverse gear rotation
Turn；
Camera power supply, for providing power supply to optical lens, first servo motor and the second servo motor.
Further, the vehicle-mounted camera further include:
Control switch, controlled end link control module, between camera power supply and points of common connection, the public company
Contact is the tie point of optical lens, first servo motor and the second servo motor three and camera power supply.
Further, the vehicle-mounted camera further include:
Shaking detection module, for detecting jitter conditions when vehicle-mounted camera is opened, output end is connect with control module,
For issuing warning information to control module when detecting the shake more than threshold value, so that is produced from the period collected inspection road
Image is without judgement.
The beneficial effects of the present invention are:
(1) present invention is collected and is issued by road production location information, the road production trackside information produced to inspection road, is realized
It is reached in vehicle and lane prompting and speed prompting is carried out to driving personnel before road presentation is set, so that reaching road produces shooting effect more
Good purpose.
(2) present invention produces location information, road production trackside information, road production elevation information by the road produced to inspection road and receives
Collect and issue, the angle of vehicle-mounted camera is adaptively adjusted to realize, solves the prior art and taken the photograph using fixed angle
As head progress road production inspection shooting so that the problem of data acquisition inaccuracy.
(3) background server of the invention judges that is produced from road for voluntarily being identified to the data that vehicle-mounted camera acquires
Trackside information and road produce elevation information, and whether correct, vehicle-mounted camera angle controls whether correctly and for judging inspection road
It produces and whether needs repairing, to realize unmanned judgement, reduce the mistake that artificial judgment generates.
(4) present invention is extracted using multiple trained depth convolutional neural networks model realization data, each depth
Convolutional neural networks model corresponds to different types of inspection road and produces, to improve the accuracy of automatic identification.
(5) vehicle-mounted camera of the invention realizes angle adjustment by bi-motor, while being used for power saving by control switch
Operation avoids the whole of vehicle-mounted camera highway from opening, and picture photographing is unclear caused by also being avoided by shaking detection module because of shake
Erroneous judgement caused by clear.
Detailed description of the invention
Fig. 1 is the method for the present invention flow chart；
Fig. 2 is depth convolutional neural networks model schematic；
Fig. 3 is car-mounted device structural schematic diagram；
Fig. 4 is structure of vehicle-mounted CCD camera schematic diagram.
Specific embodiment
Technical solution of the present invention is clearly and completely described with reference to the accompanying drawing, it is clear that described embodiment
It is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that belong to "center", "upper", "lower", "left", "right", "vertical",
The direction of the instructions such as "horizontal", "inner", "outside" or positional relationship be based on direction or positional relationship described in attached drawing, merely to
Convenient for description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation,
It is constructed and operated in a specific orientation, therefore is not considered as limiting the invention.In addition, belonging to " first ", " second " only
For descriptive purposes, it is not understood to indicate or imply relative importance.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, belong to " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood at this with concrete condition
Concrete meaning in invention.
As long as in addition, the non-structure each other of technical characteristic involved in invention described below different embodiments
It can be combined with each other at conflict.
The present embodiment provides the vehicle-mounted control methods supervised based on Asset, and solving the prior art, shooting is inconvenient by hand
And the problem that roof establishing shot data make data shooting effect bad.
As shown in Figure 1, the vehicle-mounted control method based on Asset supervision, comprising the following steps:
S1: obtaining this patrol task, and the patrol task includes that inspection route and inspection road produce, and is produced from the inspection road
Location information is produced including road and road produces trackside information.
Wherein, specifically, inspection route is inspection route as defined in higher level, can be also possible to for the route of Daily Round Check
The inspection route of specific condition；And inspection road produces and produces for the road on the inspection route, can be clapped on inspection route
It takes the photograph.
Is produced from inspection road comprising at least two information, respectively road produce location information, road produces trackside information；Wherein,
It is the physical location that is produced from road that road, which produces location information, can be mileage information or GPS positioning information, and it is position that road, which produces trackside information,
Wherein side in both sides of the road is connected across between two sides.
S2: according to the inspection route, respective routes prompt information is generated.
Wherein, the route prompt information is to prompt the information of driver, and the respective routes prompt information includes vehicle
Route when route prompt information and vehicle when without departing from inspection route deviate inspection route, which returns, suggests prompt information.
S3: vehicle real-time positioning information is obtained；
Wherein, vehicle is needed to carry out configuration vehicle carried pick device.
S4: location information, the vehicle real-time positioning information and the road are produced according to the road and produce trackside information, generates vehicle
Road converts prompt information；Location information and the vehicle real-time positioning information are produced according to the road simultaneously, generate speed prompt letter
Breath.
Wherein, trackside information is produced for producing location information, the vehicle real-time positioning information and the road according to the road,
Generating lane changing prompt information can be controlled, i.e., apart from next road in advance in a certain range in the present embodiment
When producing 500 meters, lane changing prompt information and speed prompt information are generated.
More preferably, in the present embodiment, the lane changing prompt information includes: and produces location information on road and close on road and produce to determine
When the information of position, reminding driver to be converted into vehicle corresponding with road production trackside information is not farthest lane；The speed prompt
When information is included in road and produces location information and close on road and produce location information, remind driver that vehicle is reduced to the minimum in corresponding lane
Speed.
More preferably, it further includes that road produces elevation information and road production type information that the inspection road described in the present embodiment, which produces,；Institute
The method stated further include:
Location information and the vehicle real-time positioning information are produced according to the road, controls the vehicle-mounted camera of car-mounted device
It opens and closes；Simultaneously when controlling vehicle-mounted camera unlatching, trackside information is produced according to the road and controls vehicle-mounted camera
Horizontal direction rotate angle, according to the road produce elevation information control vehicle-mounted camera vertical direction rotate angle；
It will be uploaded after the image that the vehicle-mounted camera of control is shot produces location information binding with road.
Wherein, it is the actual height that is produced from the road that road, which produces elevation information,.And location information and the vehicle are produced for the road
Real-time positioning information controls the opening and closing of vehicle-mounted camera, in the present embodiment, can be shifted to an earlier date in a certain range
Control, i.e., the distance between produce according to two neighboring road, when reach percent 80 apart from when, vehicle-mounted camera is carried out in advance
The control of corresponding angle.
In addition, the image data can be uploaded to backstage, location information is produced by road from the background, realizes and is shown in the correspondence of large screen
Show.
More preferably, in the present embodiment, the vehicle-mounted camera includes two, is all set in vehicle roof, one of them
Inspection road for shooting vehicle heading produces image, is produced from another inspection road for being used to shoot vehicle driving opposite direction
Image.
That is one of vehicle-mounted camera shooting inspection road produces direct picture, another vehicle-mounted camera shoots inspection road
Produce back side image.
More preferably, in the present embodiment, the method further include:
Server judges whether correct, vehicle-mounted camera angle controls whether just for road production trackside information and road production elevation information
Really and for judging that is produced from inspection road whether need repairing；Specifically use multiple trained depth convolutional neural networks moulds
Type realizes that data are extracted, and each depth convolutional neural networks model corresponds to different types of inspection road and produces；
After getting upload data, is produced in location information acquisition database according to the road uploaded in data correspond to road first
The road for producing location information produces type；Producing type according to obtained road later selects corresponding depth convolutional neural networks model to carry out
Data are extracted and identification；Thinking that is produced from inspection road if output recognition result success is normal condition, otherwise it is assumed that go wrong,
And further judge road produce trackside information and road produce elevation information whether correct, vehicle-mounted camera angle control whether it is correct, with
And whether need repairing for judging that is produced from inspection road:
If continuous multiple identifications go wrong, then it is assumed that vehicle-mounted camera angle controls mistake；If discontinuous more
A identification goes wrong, then further judges to produce in image with the presence or absence of corresponding inspection road, and if so, thinking inspection road
Production needs repairing, if there is no then think road produce trackside information and/or road produce elevation information occur it is abnormal.
Specifically, corresponding type (street lamp, guideboard etc.) is produced due to being stored with each road in the database, in data
After passback, location information is produced according to the road uploaded in data and obtains the road production type for corresponding to road in database and producing location information, it
The corresponding depth convolutional neural networks model of selection for being output to corresponding types afterwards carries out data and extracts and identify.
And for specifically identifying, including following several situations:
(1) continuous multiple identifications go wrong, and will not be that multiple roads produce equipment while going wrong under normal conditions, because
This then thinks that the control of vehicle-mounted camera angle goes wrong；
(2) it individually goes wrong in identification, then further judges to produce in image with the presence or absence of corresponding inspection road:
(2-1) needs repairing if it is present thinking that is produced from inspection road；
(2-2) is if it does not exist, then think that road produces trackside information and/or road produces elevation information and exception occurs.
More preferably, in the present embodiment, as shown in Fig. 2, the depth convolutional neural networks model includes sequentially connecting
It connects: the first convolutional layer, the second convolutional layer, the first down-sampling layer, the first residual error layer, third convolutional layer, the second down-sampling layer,
Two residual error layers, Volume Four lamination, third down-sampling layer, third residual error layer and full articulamentum, each residual error layer includes several
Residual unit；
The training includes:
The inspection road of the corresponding types collected is produced image and is input to the depth convolutional Neural by S1, propagated forward
In network model, loss error is calculated；
S2, backpropagation will lose error update model parameter.
Wherein, it for depth convolutional neural networks model, needs to carry out multilevel image data and is trained, that is, it is a large amount of right to need
The inspection road of type is answered to produce image；Data control is just carried out after the completion of training.
More preferably, in the present embodiment, the method also includes:
Patrol task is generated by management terminal and is sent to server；
It goes wrong when judging that is produced from inspection road, server is issued a notice information to management terminal.
Wherein, which can be handheld portable mobile intelligent terminal, be also possible to the fixed terminals such as PC machine.
More preferably, in the present embodiment, as shown in figure 3, the car-mounted device includes:
Wireless communication module, for obtaining this patrol task；
Locating module, for generating vehicle real-time positioning information；
Vehicle-mounted camera is produced for shooting inspection road；
Control module is also used to for reading this patrol task and vehicle real-time positioning information according in patrol task
Inspection Route Generation respective routes prompt information, it is fixed in real time to be also used to produce location information and vehicle according to the road in patrol task
The opening and closing of position information control vehicle-mounted camera are also used to be produced when controlling the vehicle-mounted camera and opening according to the road
Trackside information, which controls the horizontal direction rotation angle of vehicle-mounted camera and produces elevation information according to the road, controls vehicle-mounted pick-up
The vertical direction of head rotates angle；
Nformation alert module, for showing the respective routes prompt information, lane changing prompt information and speed prompt
Information.
Wherein, wireless communication module can be 4G module, GPRS module etc.；And route cue module can show to touch
Screen or speech player.
More preferably, in the present embodiment, as shown in figure 4, the vehicle-mounted camera includes:
Optical lens produces image for shooting inspection road, and output end of image is connect with control module；
Longitudinal gear connects optical lens, for controlling the optical lens vertical direction rotation；
First servo motor, controlled end link control module, control terminal connect longitudinal gear, for controlling longitudinal gear rotation
Turn；
Transverse gear connects longitudinal gear, for controlling the rotation of optical lens horizontal direction by longitudinal gear；
Second servo motor, controlled end link control module, control terminal connect transverse gear, for controlling transverse gear rotation
Turn；
Camera power supply, for providing power supply to optical lens, first servo motor and the second servo motor.
Since inspection road presentation is in highway two sides, and production of not going the same way has different height, therefore watches by first
Taking motor drives longitudinal gear and the second servo motor to drive transverse gear, to the vertical direction of optical lens and level side
To angle be adjusted.
More preferably, in the present embodiment, the vehicle-mounted camera further include:
Control switch, controlled end link control module, between camera power supply and points of common connection, the public company
Contact is the tie point of optical lens, first servo motor and the second servo motor three and camera power supply.
Control switch is used for power-save operation, i.e., when vehicle is located at position location (or predicted point), control module control
Control switch is opened, so that optical lens, first servo motor and the second servo motor be connected, the whole of highway is avoided to open.
More preferably, in the present embodiment, the vehicle-mounted camera further include:
Shaking detection module, for detecting jitter conditions when vehicle-mounted camera is opened, output end is connect with control module,
For issuing warning information to control module when detecting the shake more than threshold value, so that is produced from the period collected inspection road
Image is without judgement.
For shaking detection module, jitter conditions are detected for detecting when vehicle-mounted camera is opened, if super detecting
Warning information is issued to control module when crossing the shake of threshold value, so that the period collected inspection road produces image without sentencing
It is disconnected, avoid erroneous judgement caused by causing picture photographing unintelligible because of shake.
Obviously, the above embodiments are merely examples for clarifying the description, and does not limit the embodiments, right
For those of ordinary skill in the art, can also make on the basis of the above description other it is various forms of variation or
It changes.There is no necessity and possibility to exhaust all the enbodiments.And thus amplify out it is obvious variation or
It changes still within the protection scope of the invention.
Claims (10)
1. the vehicle-mounted control method based on Asset supervision, it is characterised in that: the following steps are included:
This patrol task is obtained, the patrol task includes that inspection route and inspection road produce, and it includes road that the inspection road, which produces,
It produces location information and road produces trackside information；
According to the inspection route, respective routes prompt information is generated；
Obtain vehicle real-time positioning information；
Location information, the vehicle real-time positioning information and the road are produced according to the road and produces trackside information, generate lane changing
Prompt information；Location information and the vehicle real-time positioning information are produced according to the road simultaneously, generate speed prompt information.
2. the vehicle-mounted control method according to claim 1 based on Asset supervision, it is characterised in that: the lane becomes
Changing prompt information includes: to remind driver to be converted into vehicle and road production road when road produces location information and closes on road production location information
Corresponding side information is not farthest lane；The speed prompt information is included in road production location information and closes on road production location information
When, remind driver that vehicle is reduced to the minimum speed limit in corresponding lane.
3. the vehicle-mounted control method according to claim 1 based on Asset supervision, it is characterised in that: the inspection
It further includes that road produces elevation information and road production type information that road, which produces,；The method further include:
Location information and the vehicle real-time positioning information are produced according to the road, controls the unlatching of the vehicle-mounted camera of car-mounted device
And closing；Simultaneously when controlling vehicle-mounted camera unlatching, the water of trackside information control vehicle-mounted camera is produced according to the road
Square to rotation angle, according to the road produce elevation information control vehicle-mounted camera vertical direction rotate angle；
It will be uploaded after the image that the vehicle-mounted camera of control is shot produces location information binding with road.
4. the vehicle-mounted control method according to claim 3 based on Asset supervision, it is characterised in that: the method
Further include:
Server judge road produce trackside information and road produce elevation information whether correct, vehicle-mounted camera angle control whether it is correct,
And whether need repairing for judging that is produced from inspection road；It is specifically real using multiple trained depth convolutional neural networks models
Existing data are extracted, and each depth convolutional neural networks model corresponds to different types of inspection road and produces；
After getting upload data, produces location information according to the road uploaded in data first and obtain to correspond to road in database and produce and determine
The road of position information produces type；Producing type according to obtained road later selects corresponding depth convolutional neural networks model to carry out data
It extracts and identifies；Thinking that is produced from inspection road if output recognition result success is that normal condition is gone forward side by side otherwise it is assumed that going wrong
One step judges whether correct, vehicle-mounted camera angle controls whether correct, Yi Jiyong for road production trackside information and road production elevation information
Whether need repairing in judging that is produced from inspection road:
If continuous multiple identifications go wrong, then it is assumed that vehicle-mounted camera angle controls mistake；If discontinuous multiple knowledges
It does not go wrong, then further judges to produce in image with the presence or absence of corresponding inspection road, and if so, thinking that is produced from inspection road needs
Repair, if there is no then think road produce trackside information and/or road produce elevation information occur it is abnormal.
5. the vehicle-mounted control method according to claim 4 based on Asset supervision, it is characterised in that: the depth
Convolutional neural networks model includes sequentially connected: the first convolutional layer, the second convolutional layer, the first down-sampling layer, the first residual error
Layer, third convolutional layer, the second down-sampling layer, the second residual error layer, Volume Four lamination, third down-sampling layer, third residual error layer and complete
Articulamentum, each residual error layer include several residual units；
The training includes:
The inspection road of the corresponding types collected is produced image and is input to the depth convolutional neural networks by S1, propagated forward
In model, loss error is calculated；
S2, backpropagation will lose error update model parameter.
6. the vehicle-mounted control method according to claim 4 based on Asset supervision, it is characterised in that: the method is also
Include:
Patrol task is generated by management terminal and is sent to server；
It goes wrong when judging that is produced from inspection road, server is issued a notice information to management terminal.
7. the vehicle-mounted control method according to claim 3 based on Asset supervision, it is characterised in that: described is vehicle-mounted
Device includes:
Wireless communication module, for obtaining this patrol task；
Locating module, for generating vehicle real-time positioning information；
Vehicle-mounted camera is produced for shooting inspection road；
Control module is also used to for reading this patrol task and vehicle real-time positioning information according to patrolling in patrol task
Route Generation respective routes prompt information is examined, is also used to produce location information according to the road in patrol task and vehicle positions letter in real time
The opening and closing of breath control vehicle-mounted camera are also used to produce trackside according to the road when controlling the vehicle-mounted camera and opening
Information controls the horizontal direction rotation angle of vehicle-mounted camera and produces elevation information control vehicle-mounted camera according to the road
Vertical direction rotates angle；
Nformation alert module, for showing the respective routes prompt information, lane changing prompt information and speed prompt information.
8. the vehicle-mounted control method according to claim 7 based on Asset supervision, it is characterised in that: described vehicle-mounted to take the photograph
As head includes:
Optical lens produces image for shooting inspection road, and output end of image is connect with control module；
Longitudinal gear connects optical lens, for controlling the optical lens vertical direction rotation；
First servo motor, controlled end link control module, control terminal connect longitudinal gear, for controlling longitudinal gear rotation；
Transverse gear connects longitudinal gear, for controlling the rotation of optical lens horizontal direction by longitudinal gear；
Second servo motor, controlled end link control module, control terminal connect transverse gear, for controlling transverse gear rotation；
Camera power supply, for providing power supply to optical lens, first servo motor and the second servo motor.
9. the vehicle-mounted control method according to claim 8 based on Asset supervision, it is characterised in that: described vehicle-mounted to take the photograph
As head further include:
Control switch, controlled end link control module, between camera power supply and points of common connection, the points of common connection
For optical lens, the tie point of first servo motor and the second servo motor three and camera power supply.
10. the vehicle-mounted control method according to claim 8 based on Asset supervision, it is characterised in that: described vehicle-mounted
Camera further include:
Shaking detection module, for detecting jitter conditions when vehicle-mounted camera is opened, output end is connect with control module, is used for
Warning information is issued to control module when detecting the shake more than threshold value, so that the period collected inspection road produces image
Without judgement.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113554185A (en) * | 2021-05-07 | 2021-10-26 | 上海厉鲨科技有限公司 | Method, system and equipment for inspecting road diseases, storage medium and inspection vehicle |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0911723A (en) * | 1995-06-27 | 1997-01-14 | Nec Eng Ltd | Variable damper device |
| CN103778681A (en) * | 2014-01-24 | 2014-05-07 | 青岛秀山移动测量有限公司 | Vehicle-mounted high-speed road inspection system and data acquisition and processing method |
| CN104766086A (en) * | 2015-04-15 | 2015-07-08 | 湖南师范大学 | Supervising method and system of way mark |
| CN108037723A (en) * | 2018-01-24 | 2018-05-15 | 武汉浩宇天辰科技有限公司 | A kind of highway maintenance Information Management System |
| CN108242166A (en) * | 2016-12-24 | 2018-07-03 | 钱浙滨 | A kind of vehicle traveling monitoring method and device |
-
2018
- 2018-12-11 CN CN201811510794.0A patent/CN109639966B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0911723A (en) * | 1995-06-27 | 1997-01-14 | Nec Eng Ltd | Variable damper device |
| CN103778681A (en) * | 2014-01-24 | 2014-05-07 | 青岛秀山移动测量有限公司 | Vehicle-mounted high-speed road inspection system and data acquisition and processing method |
| CN104766086A (en) * | 2015-04-15 | 2015-07-08 | 湖南师范大学 | Supervising method and system of way mark |
| CN108242166A (en) * | 2016-12-24 | 2018-07-03 | 钱浙滨 | A kind of vehicle traveling monitoring method and device |
| CN108037723A (en) * | 2018-01-24 | 2018-05-15 | 武汉浩宇天辰科技有限公司 | A kind of highway maintenance Information Management System |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113554185A (en) * | 2021-05-07 | 2021-10-26 | 上海厉鲨科技有限公司 | Method, system and equipment for inspecting road diseases, storage medium and inspection vehicle |
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