CN107506698A - The method of public transportation vehicle anti-fatigue-driving management based on Internet of Things - Google Patents
The method of public transportation vehicle anti-fatigue-driving management based on Internet of Things Download PDFInfo
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- CN107506698A CN107506698A CN201710648087.7A CN201710648087A CN107506698A CN 107506698 A CN107506698 A CN 107506698A CN 201710648087 A CN201710648087 A CN 201710648087A CN 107506698 A CN107506698 A CN 107506698A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
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Abstract
The present invention relates to a kind of method of the public transportation vehicle anti-fatigue-driving management based on Internet of Things, comprise the following steps：（1）Equipment initializes,（2）It is initial to catch：Portrait seizure is carried out to driver by the camera in data acquisition unit, while position of human eye dynamic caught by human eye state monitoring modular, and position of human eye dynamic is caught data processing server is uploaded to after extraction；（3）The processing of data：Human eye state data are identified data processing server, the human eye state collected is handled by data processing server, handle latter aspect and start early warning judgement controller, early warning judgement controller starts in-car warning module and distant early warning module, and result on the other hand is pushed into remote monitoring terminal；（4）Remote monitoring terminal processing：After remote monitoring terminal receives the early warning of the result and distant early warning module of data processing server push, the concrete condition for checking the driver can be clicked on.
Description
Technical field
The present invention relates to online education technical field, more particularly to a kind of anti-fatigue of public transportation vehicle based on Internet of Things
The method of drive management.
Background technology
Constantly increase with the quantity of motor vehicles, road traffic accident quantity can be in any more, is counted according to the Ministry of Public Security
Data analysis, driver fatigue are the major reasons in traffic injuries and deaths accident, by the image of biological clock, in long drives mistake
It is unavoidable in journey to produce fatigue, especially in the driving at night stage.The traffic accident as caused by fatigue driving accounts for 20% left side of total number of accident
The right side, more than the 40% of especially big traffic accident is accounted for, traffic accident causes huge economic loss and casualties to country, and tired
The main hidden danger as traffic accident is driven, has caused the strong interest of people.In recent years, with expanding economy, I
The transportation development news speed of state, but therewith one road traffic thing aunt it is also in rising trend, Department of Transportation is special at present
The other danger behavior of sailing sought to public transportation system, danger goods device vehicle in system proposes corresponding request for conciliation and certainly thought
Road；Thereby produce a series of vehicle satellite positioning terminal, automobile video frequency monitor terminal, vehicle operation characteristic acquisition terminal,
Plurality of devices or the systems such as video analysis driving behavior identification terminal.But most of product is carried out for vehicle driving trace
Monitoring, the behavior not to driver carry out the analysis of essence, and another part product relate to the safe early warning of driving behavior
Technology but for the bottleneck of the technologies such as single piece of information source analysis algorithm difficulty, it is difficult to it is assorted driving behavior is made it is more accurate
Judge, or driving behavior analysis index is not complete.
Chinese patent literature（Application No. 201410615646.0）Disclose a kind of pre- police commissioner of fleet's fatigue driving
Control system includes car-mounted terminal and supervising platform, and the car-mounted terminal is connected with the supervising platform by internet, the car
Mounted terminal include being used to shoot the camera of the face image of driver, fatigue state for detecting driver processor,
For the power module to car-mounted terminal supply electric power and for sending report when detecting that fatigue state occurs in driver
The alarm module of alert signal, the processor include image capture module and image processing module, and described image acquisition module is used
In the face image for the driver for obtaining the camera shooting, described image processing module is used for described image acquisition module
The every two field picture obtained carries out facial feature points detection and tracking and calculates the first distance between upper palpebra inferior middle part（h）And eyebrow
Second distance between the heart and the mouth heart（H）, based on the first distance（h）With second distance（H）The ratio between obtain eyes closed degree, and
Detect whether driver fatigue state occurs according to PERCLOS algorithms.The system does not analyze other behaviors of driver, does not have yet
There is the behavior to driver to carry out early warning processing.
Therefore, it is necessary to develop a kind of fatigue driving information of monitoring driver in real time and carry out the reality of early warning processing in real time
When eye recognition monitoring fatigue driving system.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of fatigue driving information of monitoring driver in real time and entered in real time
The system of the real-time eye recognition monitoring fatigue driving of row early warning processing.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention is：The real-time eye recognition monitoring fatigue is driven
The system sailed includes remote monitoring terminal, real-time monitoring platform and data processing server；The remote monitoring terminal and in real time
Monitor supervision platform is connected with data processing server by network respectively；The remote monitoring terminal include video display apparatus,
Mike, the first storage module, data transmission module and first network module；The real-time monitoring platform connects including information transmit-receive
Mouth, data acquisition unit, power module, the second storage module and the second mixed-media network modules mixed-media, the data acquisition unit include camera and
Human eye state monitoring modular, the human eye state monitoring modular include image outline extraction module and human eye profile extraction module,
The data acquisition unit is connected with the data processing server by network；The data processing server includes route and filled
Put and firewall device；And database and image analysis module are additionally provided with the data processing server；Described image parses
Module is used for the tag file that human eye information characteristics are parsed into description characteristics of image, true according to human eye contoured interior pixel number
Determine human eye state；The real-time monitoring platform is also connected with cell phone application client by network, the real-time monitoring platform peace
On automobile instrument, the remote terminal is arranged on the control room of public transportation vehicle, the data processing server installation
On control room or/and automobile；The database is used for the data for preserving car steering track and real-time monitoring platform is gathered.
Using above-mentioned technical proposal, by the driving information of real-time monitoring platform extraction driver, and via data processing
Server is analyzed and processed, then is handled by remote monitoring terminal；The behavior of driver can be recorded in real time, and monitoring drives
Whether member has fatigue driving, and remote monitoring terminal can monitor in real time, control room is accurately understood the public transport in real time
The traveling of automobile and the behavior of driver, the accuracy rate and feasibility of fatigue driving judgement are so greatly improved, makes fatigue
Drive management is more efficient, intelligence and practicality.
The present invention further improvement is that, the real-time monitoring platform also include early warning judgement controller, in-car early warning mould
Block and remote alarming module, the output end of early warning judgement controller respectively with in-car warning module and remote alarming module phase
Connection, the input of the early warning judgement controller are connected with the data processing server.Controller is adjudicated by early warning
Can be more accurate for early warning.
The present invention further improvement is that, the real-time monitoring platform also includes driving performance information acquisition module and driving
Operation information processor, the driving performance information acquisition module include steering wheel control acquisition module and pedal acquisition module,
The steering wheel control acquisition module and pedal acquisition module are connected with the driving performance information processor respectively.
The present invention further improvement is that, early warning judgement controller include the micro-control unit module being linked in sequence and
Button, and the setting pattern of early warning judgement controller includes artificial setting pattern and auto-set mode.
The present invention further improvement is that, the in-car warning module includes alarm, vibrator and audio loudspeaker；Institute
State remote alert unit and remote transmission is carried out by wireless network, and propagandaed directed to communicate by Mike and remind driver or the in-car early warning of startup
Module.
The of the invention problem also to be solved is to provide a kind of fatigue driving information of monitoring driver in real time and real-time
The method for carrying out the public transportation vehicle anti-fatigue-driving management based on Internet of Things of early warning processing.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention is：The public transport vapour based on Internet of Things
The method of car anti-fatigue-driving management, comprises the following steps：
（1）Equipment initializes：Real-time monitoring platform starts initialization first, then network connection initializes, in data acquisition unit
Camera connection, which starts and established with data processing server, to be connected；Correspondingly, just as changed, network connects remote monitoring terminal program
Initialization is connect, while establishes and connects with data processing server；
（2）It is initial to catch：Portrait seizure is carried out to driver by the camera in data acquisition unit, while passes through human eye state
Monitoring modular is caught to position of human eye dynamic, and position of human eye dynamic is caught data processing service is uploaded to after extraction
Device；
（3）The processing of data：Human eye state data are identified data processing server, judge the human eye state of driver and are
The no situation in closure state or blink frequently or more than number of winks；If the eye state of driver is normal, people is returned
Eye state cognitive phase, continue to identify human eye data；If the eye state of driver be in closure state or blink frequently or
Situation more than number of winks, then report data, and the human eye state collected is handled by data processing server, place
Manage latter aspect and start early warning judgement controller, early warning judgement controller starts in-car warning module and distant early warning module, separately
On the one hand result is pushed to remote monitoring terminal；
（4）Remote monitoring terminal processing：Remote monitoring terminal receives the result of data processing server push and long-range
After the early warning of warning module, the concrete condition for checking the driver can be clicked on, while start to propaganda directed to communicate by Mike and make driver
Regain consciousness and in curb parking and send other drivers to go to take over.
The present invention further improvement is that, the system of real-time eye recognition monitoring fatigue driving can pass through data processing
The backstage of server sets the period of people's eye monitoring identification, every 60 ~ 240 seconds automatic start human eye state recognizers to driving
The person's of sailing human eye state is identified.
The present invention further improvement is that, the data of the state of human eye include following several phenomenons：1）Do not have in camera
Capture human eye；2）Eyes are closed；3）There is irregular situation of nodding in head；4）Number of winks is more or frequent blinking.
The present invention further improvement is that, the step（3）The processing mode of in-car warning module is：1）By installed in
Vibrator vibrating alert on steering wheel, 2）Pass through alarm equipment alarm；3）Audio loudspeaker is started by remote monitoring terminal.
Compared with prior art, the invention has the advantages that：The driving letter of real-time monitoring platform extraction driver
Breath, and analyzed and processed via data processing server, then handled by remote monitoring terminal；Driving can be recorded in real time
Whether the behavior of member, monitoring driver have fatigue driving, and remote monitoring terminal can monitor in real time, enable control room accurately real-time
The traveling of the understanding public transportation vehicle and the behavior of driver, and carry out corresponding early warning prompting, avoid traffic accident
Occur, so greatly improve the accuracy rate and feasibility of fatigue driving judgement, make fatigue driving management more efficient, intelligent
And practicality.
Brief description of the drawings
Technical scheme is further described below in conjunction with the accompanying drawings：
Fig. 1 is the system block diagram of the real-time eye recognition based on online education of the present invention.
Embodiment
In order to deepen the understanding of the present invention, the present invention is done below in conjunction with drawings and examples and further retouched in detail
State, the embodiment is only used for explaining the present invention, and protection scope of the present invention is not formed and limited.
Embodiment：The system of real-time eye recognition monitoring fatigue driving include remote monitoring terminal, real-time monitoring platform and
Data processing server；The remote monitoring terminal and real-time monitoring platform are connected with data processing server by network respectively
Connect；The remote monitoring terminal includes video display apparatus, Mike, the first storage module, data transmission module and first network
Module；The real-time monitoring platform includes information transmit-receive interface, data acquisition unit, power module, the second storage module and second
Mixed-media network modules mixed-media, the data acquisition unit include camera and human eye state monitoring modular；The human eye state monitoring modular includes
Image outline extraction module and human eye profile extraction module, the data acquisition unit pass through network with the data processing server
It is connected；The data processing server includes route device and firewall device；And also set on the data processing server
There are database and image analysis module；Described image parsing module is used to human eye information characteristics being parsed into description characteristics of image
Tag file, human eye state is determined according to human eye contoured interior pixel number；The real-time monitoring platform also with cell phone application client
End is connected by network, and the real-time monitoring platform is arranged on automobile instrument, and the remote terminal is arranged on public transport
The control room of automobile, the data processing server are arranged on control room or/and automobile；The database is used to preserve automobile
The data that driving locus and real-time monitoring platform are gathered；The driving information of driver is extracted by real-time monitoring platform, and is passed through
Analyzed and processed by data processing server, then handled by remote monitoring terminal；The row of driver can be recorded in real time
For whether monitoring driver has fatigue driving, and remote monitoring terminal can monitor in real time, control room is accurately understood in real time
The traveling of the public transportation vehicle and the behavior of driver, so greatly improve the accuracy rate and feasible of fatigue driving judgement
Property, fatigue driving is managed more efficient, intelligence and practicality；The real-time monitoring platform also includes early warning judgement controller, car
Interior warning module and remote alarming module, the output end of the early warning judgement controller are reported with in-car warning module and remotely respectively
Alert module is connected, and the input of the early warning judgement controller is connected with the data processing server.Sentenced by early warning
Certainly controller can be more accurate for early warning；The real-time monitoring platform also includes driving performance information acquisition module and driving
Operation information processor, the driving performance information acquisition module include steering wheel control acquisition module and pedal acquisition module,
The steering wheel control acquisition module and pedal acquisition module are connected with the driving performance information processor respectively；It is described pre-
Alert judgement controller includes micro-control unit module and the button being linked in sequence, and the setting pattern of early warning judgement controller includes
Artificial setting pattern and auto-set mode；The in-car warning module includes alarm, vibrator and audio loudspeaker；It is described
Remote alert unit carries out remote transmission by wireless network, and is propagandaed directed to communicate by Mike and remind driver or the in-car early warning mould of startup
Block.
The method of the public transportation vehicle anti-fatigue-driving management based on Internet of Things, comprises the following steps：
（1）Equipment initializes：Real-time monitoring platform starts initialization first, then network connection initializes, in data acquisition unit
Camera connection, which starts and established with data processing server, to be connected；Correspondingly, just as changed, network connects remote monitoring terminal program
Initialization is connect, while establishes and connects with data processing server；
（2）It is initial to catch：Portrait seizure is carried out to driver by the camera in data acquisition unit, while passes through human eye state
Monitoring modular is caught to position of human eye dynamic, and position of human eye dynamic is caught data processing service is uploaded to after extraction
Device；
（3）The processing of data：Human eye state data are identified data processing server, judge the human eye state of driver and are
The no situation in closure state or blink frequently or more than number of winks；If the eye state of driver is normal, people is returned
Eye state cognitive phase, continue to identify human eye data；If the eye state of driver be in closure state or blink frequently or
Situation more than number of winks, then report data, and the human eye state collected is handled by data processing server, place
Manage latter aspect and start early warning judgement controller, early warning judgement controller starts in-car warning module and distant early warning module, separately
On the one hand result is pushed to remote monitoring terminal；
（4）Remote monitoring terminal processing：Remote monitoring terminal receives the result of data processing server push and long-range
After the early warning of warning module, the concrete condition for checking the driver can be clicked on, while start to propaganda directed to communicate by Mike and make driver
Regain consciousness and in curb parking and send other drivers to go to take over；The system of the real-time eye recognition monitoring fatigue driving can pass through
The backstage of data processing server sets the period of people's eye monitoring identification, is identified every 60 ~ 240 seconds automatic start human eye states
Driver's human eye state is identified program；The data of the state of human eye include following several phenomenons：1）Do not have in camera
Capture human eye；2）Eyes are closed；3）There is irregular situation of nodding in head；4）Number of winks is more or frequent blinking；Institute
State step（3）The processing mode of in-car warning module is：1）By installing vibrator vibrating alert on the steering wheel, 2）Pass through
Alarm equipment alarm；3）Audio loudspeaker is started by remote monitoring terminal.
For the ordinary skill in the art, simply the present invention is exemplarily described for specific embodiment,
Obviously present invention specific implementation is not subject to the restrictions described above, and is entered as long as employing the inventive concept and technical scheme of the present invention
The improvement of capable various unsubstantialities, or it is not improved by the present invention design and technical scheme directly apply to other occasions
, within protection scope of the present invention.
Claims (4)
- A kind of 1. method of the public transportation vehicle anti-fatigue-driving management based on Internet of Things, it is characterised in that including following step Suddenly：（1）Equipment initializes：Real-time monitoring platform starts initialization first, then network connection initializes, in data acquisition unit Camera connection, which starts and established with data processing server, to be connected；Correspondingly, just as changed, network connects remote monitoring terminal program Initialization is connect, while establishes and connects with data processing server；（2）It is initial to catch：Portrait seizure is carried out to driver by the camera in data acquisition unit, while passes through human eye state Monitoring modular is caught to position of human eye dynamic, and position of human eye dynamic is caught data processing service is uploaded to after extraction Device；（3）The processing of data：Human eye state data are identified data processing server, judge the human eye state of driver and are The no situation in closure state or blink frequently or more than number of winks；If the eye state of driver is normal, people is returned Eye state cognitive phase, continue to identify human eye data；If the eye state of driver be in closure state or blink frequently or Situation more than number of winks, then report data, and the human eye state collected is handled by data processing server, place Manage latter aspect and start early warning judgement controller, early warning judgement controller starts in-car warning module and distant early warning module, separately On the one hand result is pushed to remote monitoring terminal；（4）Remote monitoring terminal processing：Remote monitoring terminal receives the result of data processing server push and long-range After the early warning of warning module, the concrete condition for checking the driver can be clicked on, while start to propaganda directed to communicate by Mike and make driver Regain consciousness and in curb parking and send other drivers to go to take over.
- 2. the method for the public transportation vehicle anti-fatigue-driving management according to claim 1 based on Internet of Things, its feature It is, the system of the real-time eye recognition monitoring fatigue driving of public transportation vehicle that should be based on Internet of Things can pass through data processing The backstage of server sets the period of people's eye monitoring identification, every 60 ~ 240 seconds automatic start human eye state recognizers to driving The person's of sailing human eye state is identified.
- 3. the method for the public transportation vehicle anti-fatigue-driving management according to claim 2 based on Internet of Things, its feature It is, the data of the state of human eye include following several phenomenons：1）Human eye is not captured in camera；2）Eyes Amenorrhea Close；3）There is irregular situation of nodding in head；4）Number of winks is more or frequent blinking.
- 4. the method for the public transportation vehicle anti-fatigue-driving management according to claim 3 based on Internet of Things, its feature It is, the step（3）The processing mode of in-car warning module is：1）Carried by the vibrator vibration installed on the steering wheel Wake up, 2）Pass through alarm equipment alarm；3）Audio loudspeaker is started by remote monitoring terminal.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108583592A (en) * | 2017-12-30 | 2018-09-28 | 西安市地下铁道有限责任公司 | A kind of subway service on buses or trains job information acquisition intelligent detecting method |
| CN110956780A (en) * | 2018-09-26 | 2020-04-03 | 上海博泰悦臻网络技术服务有限公司 | Fatigue driving reminding method and device and vehicle |
| CN111209797A (en) * | 2019-12-19 | 2020-05-29 | 广州航天海特系统工程有限公司 | Method, device, equipment and storage medium for monitoring driving behavior |
| CN112712611A (en) * | 2021-01-14 | 2021-04-27 | 扬州正览信息科技服务有限公司 | Intelligent monitoring system and use method thereof |
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Application publication date: 20171222 |