CN112238838A - Internet of things driving safety management system - Google Patents
Internet of things driving safety management system Download PDFInfo
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- CN112238838A CN112238838A CN202011093375.9A CN202011093375A CN112238838A CN 112238838 A CN112238838 A CN 112238838A CN 202011093375 A CN202011093375 A CN 202011093375A CN 112238838 A CN112238838 A CN 112238838A
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- vehicle
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- driving
- internet
- central processing
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/20—Means to switch the anti-theft system on or off
- B60R25/25—Means to switch the anti-theft system on or off using biometry
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- 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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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/80—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement
- B60R2300/8006—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement for monitoring and displaying scenes of vehicle interior, e.g. for monitoring passengers or cargo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/80—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement
- B60R2300/802—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement for monitoring and displaying vehicle exterior blind spot views
Abstract
The invention discloses an internet of things driving safety management system which comprises a management platform, a server, a 4G transceiver unit, a central processing unit, a vehicle-mounted display, a fatigue detection camera, a blind area detection camera and a forward-looking camera. The Internet of things driving safety management system has the advantages that firstly, when people enter a main driver, the sensors start face recognition, when the face recognition passes through the rear part, an automobile can be started, strange faces cannot pass through the face recognition, and the strange faces can be allowed by a remote platform or manually added on site; secondly, the map route, the starting and stopping times, the personnel change and the like of the automobile running track are recorded and stored in the running process; when a traffic accident occurs, assistance or alarm can be sought in a manual mode, an automatic mode, a remote assistance mode and the like, and vehicles nearby the accident can be reminded of avoiding or detouring in time, so that traffic congestion is avoided; and fourthly, all the driving data are stored in the equipment, so that police officers can conveniently investigate, obtain evidence and rapidly solve a case, and social cost is saved.
Description
Technical Field
The invention relates to the field of vehicle management, in particular to a driving safety management method of an internet of things.
Background
With the increasingly rapid urbanization process and the increasingly high living standard of people, automobiles are no longer expensive luxury goods but are ubiquitous 'popular goods', and although modern monitoring density and technology are increasingly high, the anti-collision technology of the automobiles is gradually improved, accidents are inevitable, and therefore an internet-of-things driving safety management method is provided.
Disclosure of Invention
The invention mainly aims to provide a driving safety management method of the Internet of things, which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
an Internet of things driving safety management method comprises the following steps:
identity recognition: before the driving data, the fatigue detection camera carries out face recognition on facial features of a driver, analyzes and timely reminds the driver of realizing active safe driving, and simultaneously records the starting and stopping times, the driving time and the personnel change data;
tracing: the central processing unit compares the facial data shot by the fatigue detection camera with the user data stored in the server, and confirms that the vehicle is started after the comparison is qualified;
and (3) driving data: the forward-looking camera collects scene data in front of the vehicle, and the blind area detection camera records blind area pedestrians and non-motor vehicles and transmits the data to the central processing unit;
data transmission: the server checks the vehicle running condition stored in the central processing unit through the 4G transceiving unit and uploads the data to the management platform;
route detection: and after the management platform acquires the data transmitted by the server, the road congestion condition detected by the driving route in the driving direction is fed back to the server.
Preferably, during the running data, the driver observes the data received by the central processing unit through the vehicle-mounted display;
preferably, the method further comprises the steps of:
vehicle periphery detection: collecting the running speed of the vehicle through a vehicle-mounted view screen radar detector, and acquiring the running speed and license plate numbers of vehicles passing through the front and rear and opposite lanes;
and (4) accident alarming: when the vehicle has a fault, the central processing unit alarms to the remote management platform through the 4G transceiver unit, and the wireless network unit sends an emergency rescue signal to vehicles or public networks with the same devices nearby.
Preferably, the central processing unit comprises a GPS unit and a lithium battery unit, and the GPS unit comprises a locator for locating the vehicle and detecting a driving data route and an electronic dog for vehicle driving safety early warning.
Preferably, the lithium battery unit comprises the following two cases when in use:
(1) when the vehicle is parked, the lithium battery unit supplies power for normal work of the vehicle-mounted equipment;
(2) and when the vehicle runs, the vehicle engine is switched to generate power and the lithium battery unit is charged.
Preferably, after the facial features of the driver are collected by the fatigue detection camera, the facial features are compared with data stored in the server, and the comparison result includes the following two conditions:
i, when the collected facial features are the same as the stored data, sending qualified confirmation data to a vehicle-mounted display;
and II, when the collected facial features are different from the stored data, sending unmatched data to the vehicle-mounted display.
Compared with the prior art, the invention has the following beneficial effects:
firstly, when people enter a main driver, a sensor starts face recognition, when the face recognition passes through the rear part, an automobile can be started, strange faces cannot pass through the face recognition, and the strange faces can be allowed by a remote platform or manually added on site;
secondly, when the vehicle is started: the video acquisition unit, the fatigue detection camera in the cab, the front-end driving detector and the blind area driving detector are started simultaneously;
thirdly, recording and storing the map route, the starting and stopping times, the personnel change and the like of the automobile running track in the running process;
when a traffic accident occurs, assistance or alarm can be sought in a manual mode, an automatic mode, a remote assistance mode and the like, and vehicles nearby the accident can be reminded of avoiding or detouring in time, so that traffic congestion is avoided;
and fifthly, all the driving data are stored in the equipment central control unit and the remote management method, so that police staff can conveniently investigate, collect evidence and rapidly solve a case after an accident occurs, and social cost is saved.
Drawings
FIG. 1 is a flow chart of a traffic safety management method of the Internet of things of the invention;
fig. 2 is a block diagram of an internal flow of a central processing unit in the driving safety management method of the internet of things.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Referring to fig. 1, a driving safety management method of the internet of things includes the following steps:
identity recognition: before the driving data, the fatigue detection camera carries out face recognition on facial features of a driver, analyzes and timely reminds the driver of realizing active safe driving, and simultaneously records the starting and stopping times, the driving time and the personnel change data;
tracing: the central processing unit compares the facial data shot by the fatigue detection camera with the user data stored in the server, and confirms that the vehicle is started after the comparison is qualified;
and (3) driving data: the forward-looking camera collects scene data in front of the vehicle, and the blind area detection camera records blind area pedestrians and non-motor vehicles and transmits the data to the central processing unit;
data transmission: the server checks the vehicle running condition stored in the central processing unit through the 4G transceiving unit and uploads the data to the management platform;
route detection: and after the management platform acquires the data transmitted by the server, the road congestion condition detected by the driving route in the driving direction is fed back to the server.
Referring to fig. 1, in the case of driving data, a driver observes data received by a central processing unit through a vehicle-mounted display;
preferably, the method further comprises the steps of:
vehicle periphery detection: collecting the running speed of the vehicle through a vehicle-mounted view screen radar detector, and acquiring the running speed and license plate numbers of vehicles passing through the front and rear and opposite lanes;
and (4) accident alarming: when the vehicle has a fault, the central processing unit alarms to the remote management platform through the 4G transceiver unit, and the wireless network unit sends an emergency rescue signal to vehicles or public networks with the same devices nearby.
Referring to fig. 1, the central processing unit further includes a GPS unit including a locator for locating a vehicle and detecting a driving data route, and a dongle for providing a safety warning of driving of the vehicle, and a lithium battery unit.
Referring to fig. 1, the method further comprises a plurality of groups of vehicle-mounted view screen radar detectors, an alarm unit and a wireless network unit,
the vehicle-mounted view screen radar detector is used for acquiring the running speed of the vehicle and acquiring the running speed and license plate numbers of vehicles passing through the front and rear lanes and the opposite lanes;
when the vehicle breaks down, the alarm unit alarms the remote management platform through the 4G transceiver unit, and the wireless network unit sends emergency rescue signals to vehicles or public networks with the same devices nearby.
Referring to fig. 2, the central processing unit further includes a GPS unit including a locator for locating a vehicle and detecting a driving data route, and a dongle for providing a safety warning of driving of the vehicle, and a lithium battery unit. The lithium battery unit comprises the following two conditions when in use:
(1) when the vehicle is parked, the lithium battery unit supplies power for normal work of the vehicle-mounted equipment;
(2) and when the vehicle runs, the vehicle engine is switched to generate power and the lithium battery unit is charged.
The raw data of face recognition software and a plurality of sensors (a fatigue detection camera, a vehicle-mounted view screen radar detector, a blind area detection camera and the like) are optimized on a display screen in a cab. The modularized integrated unit provides a more complete stereoscopic driving scene for a driver and a remote server.
Face recognition is widely applied to various industries of society and the lives of common people at present, face recognition software is installed in a vehicle to ensure that a driver is matched with the vehicle or obtains the use authority of the vehicle, the vehicle can be driven only when the driver is consistent with data stored in a central processing unit, and the vehicle cannot be started and sends out unmatched data when the driver is inconsistent with the data stored in the central processing unit.
The fatigue detection camera collects facial features of a driver, analyzes unsafe behaviors such as driving, smoking, calling, no-sight of the front, dozing and the like, and timely reminds the driver of realizing active safe driving.
The vehicle-mounted view screen radar detector can not only collect the running speed of the vehicle, but also acquire the running speed and license plate number of vehicles passing through the front and back and opposite lanes, so as to provide scene restoration under special conditions or accidents.
The blind area detection camera records pedestrians and non-motor vehicles in the blind area, and automatically gives an alarm to the driver and the background when the blind area detection camera is located at a certain distance.
The lithium battery unit provides a power supply unit for normal operation of equipment when the vehicle is parked daily, and the automobile engine is automatically switched to generate power and charge when the running data is up.
The GPS unit provides location and dongle services for the vehicle.
All raw data are processed and stored in the storage unit through the central processing unit, and the remote server can check the latest running condition of the vehicle through the 4G transceiving unit.
When a collision, vehicle flooding or fire occurs, the accident warning unit is automatically triggered. The alarm unit can alarm or automatically switch to a 110 hot line to the remote management platform through the 4G transceiver unit, and meanwhile, the wireless network unit can send emergency rescue signals to vehicles or public networks with the same devices nearby, and can inform nearby vehicles of avoiding in time to relieve traffic congestion.
The unit provides a power supply unit for normal operation of equipment when the vehicle is parked daily, and the automobile engine is automatically switched to generate power and charge when the vehicle is running.
Finally, all data are gathered to a remote server, and the server can know the driver information, the driving track and the live condition of each running vehicle and provide safety assistance services for the running vehicles.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. An Internet of things driving safety management method is characterized by comprising the following steps:
identity recognition: before the driving data, the fatigue detection camera carries out face recognition on facial features of a driver, analyzes and timely reminds the driver of realizing active safe driving, and simultaneously records the starting and stopping times, the driving time and the personnel change data;
tracing: the central processing unit compares the facial data shot by the fatigue detection camera with the user data stored in the server, and confirms that the vehicle is started after the comparison is qualified;
and (3) driving data: the forward-looking camera collects scene data in front of the vehicle, and the blind area detection camera records blind area pedestrians and non-motor vehicles and transmits the data to the central processing unit;
data transmission: the server checks the vehicle running condition stored in the central processing unit through the 4G transceiving unit and uploads the data to the management platform;
route detection: and after the management platform acquires the data transmitted by the server, the road congestion condition detected by the driving route in the driving direction is fed back to the server.
2. The internet of things driving safety management method according to claim 1, characterized in that: when driving data, the driver observes the data received by the central processing unit through the vehicle-mounted display.
3. The internet of things driving safety management method according to claim 1, characterized in that: the method further comprises the following steps:
vehicle periphery detection: collecting the running speed of the vehicle through a vehicle-mounted view screen radar detector, and acquiring the running speed and license plate numbers of vehicles passing through the front and rear and opposite lanes;
and (4) accident alarming: when the vehicle has a fault, the central processing unit alarms to the remote management platform through the 4G transceiver unit, and the wireless network unit sends an emergency rescue signal to vehicles or public networks with the same devices nearby.
4. The internet of things driving safety management method according to claim 1, characterized in that: the central processing unit comprises a GPS unit and a lithium battery unit, wherein the GPS unit comprises a locator for locating the vehicle and detecting a driving data route and an electronic dog for vehicle driving safety early warning.
5. The Internet of things driving safety management method according to claim 4, characterized in that: the lithium battery unit comprises the following two conditions when in use:
(1) when the vehicle is parked, the lithium battery unit supplies power for normal work of the vehicle-mounted equipment;
(2) and when the vehicle runs, the vehicle engine is switched to generate power and the lithium battery unit is charged.
6. The internet of things driving safety management method according to claim 1, characterized in that: after the facial features of the driver are collected by the fatigue detection camera, the facial features are compared with data stored in the server, and the comparison result comprises the following two conditions:
i, when the collected facial features are the same as the stored data, sending qualified confirmation data to a vehicle-mounted display;
and II, when the collected facial features are different from the stored data, sending unmatched data to the vehicle-mounted display.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011093375.9A CN112238838A (en) | 2020-10-14 | 2020-10-14 | Internet of things driving safety management system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011093375.9A CN112238838A (en) | 2020-10-14 | 2020-10-14 | Internet of things driving safety management system |
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| CN112238838A true CN112238838A (en) | 2021-01-19 |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014094680A (en) * | 2012-11-09 | 2014-05-22 | Toyota Motor Corp | Vehicular anti-theft device and method, and smart entry system |
| CN104318714A (en) * | 2014-11-12 | 2015-01-28 | 沈阳美行科技有限公司 | Fatigue driving pre-warning method |
| CN105035025A (en) * | 2015-07-03 | 2015-11-11 | 郑州宇通客车股份有限公司 | Driver identification management method and system |
| CN110618800A (en) * | 2019-09-25 | 2019-12-27 | 北京梧桐车联科技有限责任公司 | Interface display method, device, equipment and storage medium |
| CN111114435A (en) * | 2020-01-06 | 2020-05-08 | 崔勋 | Driving management system |
| CN111199655A (en) * | 2020-01-15 | 2020-05-26 | 南京佳得振隆新能源汽车有限公司 | Intelligent automobile interconnection exchange safety system |
-
2020
- 2020-10-14 CN CN202011093375.9A patent/CN112238838A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014094680A (en) * | 2012-11-09 | 2014-05-22 | Toyota Motor Corp | Vehicular anti-theft device and method, and smart entry system |
| CN104318714A (en) * | 2014-11-12 | 2015-01-28 | 沈阳美行科技有限公司 | Fatigue driving pre-warning method |
| CN105035025A (en) * | 2015-07-03 | 2015-11-11 | 郑州宇通客车股份有限公司 | Driver identification management method and system |
| CN110618800A (en) * | 2019-09-25 | 2019-12-27 | 北京梧桐车联科技有限责任公司 | Interface display method, device, equipment and storage medium |
| CN111114435A (en) * | 2020-01-06 | 2020-05-08 | 崔勋 | Driving management system |
| CN111199655A (en) * | 2020-01-15 | 2020-05-26 | 南京佳得振隆新能源汽车有限公司 | Intelligent automobile interconnection exchange safety system |
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Application publication date: 20210119 |