CN112428952A - Vehicle safety early warning system based on Internet of things - Google Patents
Vehicle safety early warning system based on Internet of things Download PDFInfo
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- CN112428952A CN112428952A CN202011214888.0A CN202011214888A CN112428952A CN 112428952 A CN112428952 A CN 112428952A CN 202011214888 A CN202011214888 A CN 202011214888A CN 112428952 A CN112428952 A CN 112428952A
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- 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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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60T—VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
- B60T7/00—Brake-action initiating means
- B60T7/12—Brake-action initiating means for automatic initiation; for initiation not subject to will of driver or passenger
- B60T7/16—Brake-action initiating means for automatic initiation; for initiation not subject to will of driver or passenger operated by remote control, i.e. initiating means not mounted on vehicle
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
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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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Abstract
The invention discloses a vehicle safety early warning system based on the Internet of things, which comprises a system on duty platform, a terminal controller, an identity recognition module, a navigation system, an auxiliary driving module, a warning module, a driver state monitoring module, a vehicle data acquisition module and a road condition monitoring module, wherein the terminal controller is connected with the system on duty platform; the system can be connected to a system on-duty platform through the internet of things technology according to various terminal devices installed on the vehicle, so that a series of solutions about driving safety problems can be realized, wherein the solutions about the working states, vital signs, environmental data, road surface data, identity authentication, auxiliary driving, abnormal alarming and emergency situations of the vehicle and a driver are monitored in real time. Thereby reducing the probability of traffic accidents caused by fatigue driving of drivers and vehicle faults.
Description
Technical Field
The invention relates to the field of traffic-assisted driving.
Background
With the proposal of the concept of the internet of things, the method quickly becomes a new hotspot for research and application in the automobile industry, but at present, the method is mostly applied to aspects of electric automobile charging facilities, intelligent traffic and the like, and different mechanisms on an automobile cannot be used as nodes to access a network, so that component-level information and fault diagnosis cannot be realized. The vehicle safety early warning system is a comprehensive auxiliary driving system integrating functions of network communication, environment perception, planning decision, multi-level auxiliary driving and the like, intensively applies technologies such as computers, Internet of things, intelligent sensing, information fusion, network communication, artificial intelligence and the like, and is a typical high and new technology comprehensive body. At present, intelligent driving is mainly focused on the field of unmanned driving, but the field of the existing auxiliary driving also has a plurality of problems which need to be solved urgently, such as heart diseases of a driver during driving of a vehicle and emergency measures after the driving capability is lost; the navigation system cannot judge road conditions and road congestion conditions and cannot ensure travel efficiency; the identity authentication system of the driver after the vehicle is stolen and an automatic alarm solution; the above problems are the focus problems that the current vehicle driving assisting system needs to solve urgently.
Therefore, a new technical solution is needed to solve the above problems.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a vehicle safety early warning system based on the Internet of things, and provides a solution for a series of problems that a driver breaks out of order in the driving process, an existing navigation system cannot acquire a target route road condition in real time, and identity information of the driver is checked.
The technical scheme is as follows: in order to achieve the purpose, the vehicle safety early warning system based on the internet of things provided by the invention can adopt the following technical scheme:
a vehicle safety early warning system based on the Internet of things comprises:
the system on duty platform is used for realizing remote information interaction with a user and the terminal equipment through the communication technology of the Internet of things;
the terminal controller comprises a central processing unit, a communication module, a display unit and an intelligent voice recognition unit; the display unit is used for inputting and outputting user instructions; the intelligent voice recognition unit is used for providing a voice information interaction function; the communication module is used for communicating with the system on-duty platform;
the identity recognition module comprises a camera assembly, an RFID recognition unit, a face recognition unit and a voice input unit; the face recognition unit is used for verifying the identity of the driver, and the voice input unit is used for recognizing the voice authentication information of the driver to be verified; the RFID induction chip realizes the keyless starting function; the camera component is used for collecting driver identity identification information and process and tracing and checking;
the navigation system receives vehicle position information sent by a satellite through a positioning module and sends the vehicle position information to a remote vehicle terminal control module, and the vehicle terminal control module is used for interacting road condition information with a cloud server in real time and planning an optimal driving route through cloud computing;
the auxiliary driving module comprises a braking unit, an obstacle sensing radar and a road deviation monitoring module; the system is used for judging abnormal driving data monitored by the terminal sensor equipment as an unexpected accident when a vehicle and a driver cannot drive normally in an unexpected accident, and transmitting the abnormal data of the sensor to the system on-duty platform and the vehicle brake unit through the terminal controller; the vehicle braking unit performs safe braking on the vehicle through braking, and simultaneously sends an alarm instruction to the warning module to start acousto-optic alarm;
the warning module is used for comprising a display unit and an audible and visual alarm component;
the driver state monitoring module monitors vital signs of a driver through various sign sensors integrated by the intelligent wearable equipment, and gives an alarm and uploads data to the system on duty platform when the vital sign indexes exceed preset vital sign threshold values;
the vehicle data acquisition module monitors the internal environment data of the vehicle through an internal sensor; monitoring the tire pressure of a vehicle through a pressure sensor, monitoring the speed of the vehicle through a speed sensor, monitoring the acceleration of the vehicle through an acceleration sensor, monitoring the temperature of an engine through an engine temperature sensor, and monitoring the rotating speed of the engine through an engine rotating speed sensor;
the road condition monitoring module comprises a road image acquisition unit, a road image processing unit, a lane line detection unit and a vehicle external sensor, monitors vehicle external environment data through the vehicle sensor, and transmits the data to a display unit of a terminal controller and a system watching platform through the vehicle terminal controller.
Has the advantages that: the invention discloses a vehicle safety early warning system based on the Internet of things, which can be connected to a system on duty platform through the Internet of things technology according to various terminal devices installed on vehicles, so as to realize a series of solutions about driving safety problems, such as monitoring the working states of vehicles and drivers, vital signs, environmental data, road surface data, identity authentication, auxiliary driving, abnormal alarm and emergency situations in real time. Thereby reducing the probability of traffic accidents caused by fatigue driving of drivers and vehicle faults.
Further, the functions of remote information interaction, analysis, early warning, remote equipment control and locking with the user and the terminal equipment are realized through the communication technology of the Internet of things; the system is used for monitoring the running state of a user vehicle in an all-round way, providing the optimal driving route and the related driving assistance function in real time, and immediately executing an emergency treatment plan if abnormity is found.
Furthermore, the navigation system comprises a GPS/Beidou positioning module, a GPS antenna and a GIS map unit.
Further, each sign sensor that intelligence wearing equipment is integrated includes intelligent wrist-watch, intelligent bracelet, intelligent seatpad, intelligent safety belt, intelligent glasses.
Further, the driver state monitoring module monitors bad driving behavior habits of a driver, including fatigue driving, call answering or phone calling in driving or smoking and the function of alarming and uploading data to the system attendance platform to execute an emergency treatment plan when diseases which cause incapability of driving suddenly occur.
Further, the driver state monitoring module monitors the blood sugar, the heart rate, the body temperature and the blood pressure of the driver.
Furthermore, the auxiliary driving module automatically controls the vehicle to brake in place before the collision according to the obstacle sensing radar and the road deviation monitoring.
Further, the vehicle data acquisition module monitors the internal environment of the vehicle and comprises data of temperature, humidity, air quality, harmful gas concentration and alcohol content in the vehicle.
Further, the road condition monitoring module monitors external environment data of the vehicle through an external sensor, wherein the external environment data comprises temperature, humidity, air quality and road surface condition data.
Further, one or more of the vital signs sensing devices are associated with one or more vehicle occupants in the vehicle; and determining a state of health in the one or more vehicle occupants and position information in the one or more vehicle occupants relative to the vehicle based on the data; the internet of things vehicle safety precaution system confirms whether one of the one or more vehicle occupants is located within the vehicle based on the location information comparing whether the location of the one or more vehicle occupants substantially coincides with the location of the vehicle within a time threshold.
Drawings
Fig. 1 is a schematic structural diagram of a vehicle safety early warning system in the invention.
FIG. 2 is a schematic diagram of a vehicle data collection module according to the present invention.
FIG. 3 is a schematic diagram of an internal environment monitoring module according to the present invention.
FIG. 4 is a schematic diagram of a vehicle condition monitoring module according to the present invention.
Fig. 5 is a schematic structural diagram of a road condition monitoring module according to the present invention.
Detailed Description
Referring to fig. 1 to 5, the present invention discloses a vehicle safety early warning system based on the internet of things, which includes: the system comprises a system on-duty platform 1, a terminal controller 2, an identity recognition module 3, a navigation system 4, a warning module 5, an auxiliary driving module 6, a driving state monitoring module 7, a vehicle data acquisition module 8 and a road condition monitoring module 9;
the system on duty platform 1 realizes the functions of remote information interaction, analysis, early warning, remote equipment control, locking and the like with a user and the terminal equipment through the communication technology of the Internet of things; the system can effectively guarantee the driving safety of a user, monitor the vehicle running state of the user in an all-around manner, provide the optimal driving route and the related auxiliary driving function in real time, and immediately execute an emergency disposal plan if abnormity is found, thereby achieving the effect of improving the traveling safety and efficiency of the user;
the terminal controller 2 comprises a central processing unit, a communication module, a mechanism driving program, a touch display unit and an intelligent voice recognition unit; a display unit in the terminal controller 2 is used for inputting and outputting user instructions, and an intelligent voice recognition unit provides a function for efficiently and conveniently carrying out information interaction with a system in the driving process of a user; the terminal controller 2 is an information interaction hub of the vehicle and a remote system guarding platform, data of each sensor of the vehicle is interacted with the system guarding platform in real time through a terminal control unit, and the system guarding platform can remotely control functions of acousto-optic alarm, safety brake and the like of the vehicle through the terminal control unit;
the identity recognition module 3 comprises a camera assembly, an RFID recognition unit, a face recognition unit and a voice input unit; the face recognition unit is used for verifying the identity of the driver, the voice input unit is used for recognizing voice authentication information of the driver to be verified, and in the embodiment, the voice input unit is a voice control lock assembly. The RFID induction chip realizes functions of keyless starting and the like; the camera component is used for collecting driver identity identification information and process and tracing and checking;
the navigation system 4 comprises a GPS/Beidou positioning module, a GPS antenna and a GIS map unit; the vehicle position information sent by the satellite is received through the positioning module and sent to the remote vehicle terminal control module, and the vehicle terminal control module is used for interacting road condition information with the cloud server in real time and planning an optimal driving route through cloud computing;
the warning module 5 comprises a display unit and an audible and visual alarm component; and the warning device is used for sending out characters, sounds and lamplight warnings to remind surrounding vehicles and drivers by acquiring the warning instruction of the terminal controller 2 when the sensors monitor that the drivers and the vehicles are abnormal.
The auxiliary driving module 6 comprises a braking unit, an obstacle induction radar and a road deviation monitoring device; the system is used for judging abnormal driving data monitored by the terminal sensor equipment as an unexpected accident when a vehicle and a driver cannot drive normally in an unexpected accident, and at the moment, the abnormal data of the sensor is transmitted to the system watching platform 1 and the vehicle braking unit through the terminal controller 2; the vehicle braking mechanism carries out safety braking on the vehicle, and the warning module 5 can start acousto-optic alarm to remind the rear vehicle of avoiding, so that the accident rate is reduced.
The sensor devices for monitoring driver vital signs include, but are not limited to, the following: smart watches, bracelets, seat cushions, safety belts, glasses and the like.
When the sensors monitor abnormal vital sign data which can cause the driver to lose driving ability, the system on duty platform judges the current state of the driver from the monitoring data of multiple dimensions according to a plurality of sensors in the vehicle, for example, a vehicle data acquisition module 8 is called, and the current vital sign of the driver and the vehicle running state are judged through images inside and outside the vehicle; and (3) calling the auxiliary driving module 6, deviating the driving line, and if an accident occurs, remotely starting the vehicle braking system and the warning module 5 by the system on-duty platform to help the accident vehicle to safely brake.
The vehicle auxiliary driving module can automatically control the vehicle to brake in place before the collision according to the obstacle induction radar and the road deviation monitoring.
When the vehicle is running, the vehicle data acquisition module 8 can calculate according to the dead weight of the vehicle, the braking torque and the current speed to obtain a first safety distance and a second safety distance.
The vehicle data acquisition module is further used for receiving and processing the environmental obstacle data and acquiring a first obstacle distance and a second obstacle distance in the environmental obstacle data. And when the first barrier distance is not empty and is smaller than the first safe distance, generating an execution braking instruction, and sending the execution braking instruction to the terminal controller for vehicle braking processing. And when the second barrier distance is not empty and is smaller than the second safety distance, generating an execution braking instruction, and sending the execution braking instruction to a terminal controller for vehicle braking processing.
The system on duty platform 1 includes: the system comprises a client service module, a terminal equipment management module, a data processing module, a cloud server and a database. The system on duty platform 1 realizes the functions of remote information interaction, analysis, early warning, remote equipment locking and the like with the user and the affiliated terminal equipment through the communication technology of the internet of things; the system can effectively guarantee the driving safety of a user, monitor the working state of a vehicle body of the user in an all-around manner, provide the optimal driving route in real time, find abnormality and immediately execute an emergency treatment plan, thereby achieving the effect of improving the traveling efficiency of the user;
the vehicle terminal controller 2 includes: the system comprises a central processing unit, a GSM communication module, a flash memory driver, an NB-iot module, a mechanism driver, a touch display unit and an intelligent voice recognition unit; a display unit in the terminal controller 2 is used for inputting and outputting user instructions, and an intelligent voice recognition unit provides a function for efficiently and conveniently carrying out information interaction with a system in the driving process of a user; the terminal controller 2 is an information interaction junction of the vehicle and a remote system, data of each sensor of the vehicle is interacted with the system on-duty platform in real time through the terminal control unit, and the system on-duty platform can remotely control functions of sound-light alarm, safety brake and the like of the vehicle through the terminal control unit.
The identification module 3 includes: camera subassembly, RFID discernment, face identification unit, voiceprint/acoustic control identification unit, acoustic control lock. The face recognition unit is used for verifying the identity of the driver, and the voice input unit is used for recognizing the voice authentication information of the driver to be verified. The RFID induction chip realizes the keyless starting function; the camera assembly is used for collecting the driver identity recognition process and is used for tracing and checking.
The navigation system 4 includes: the GPS/Beidou positioning module, the GPS antenna and the navigation module; the vehicle position information sent by the satellite is received through the positioning module and sent to the remote vehicle terminal control module, and the vehicle terminal control module is used for interacting road condition information with the system platform in real time and planning an optimal driving route.
The warning module 5 includes: comprises a display unit and an audible and visual alarm component; and the warning device is used for sending out characters, sounds and lamplight warning to remind the surrounding and the driver through acquiring the warning instruction of the terminal controller 2 when the sensor monitors that the driver and the vehicle are abnormal.
The driving assistance module 6 includes: a brake unit, an obstacle sensing radar and a road deviation monitoring; the system is used for judging abnormal driving data monitored by a sensor as an unexpected accident when a vehicle and a driver cannot normally drive in an unexpected accident, and at the moment, the abnormal data of the sensor is transmitted to a system watching platform 1 and a vehicle braking unit through a terminal controller 2; the vehicle brake mechanism brakes the vehicle, and the warning module 5 can start acousto-optic alarm to remind the rear vehicle of avoiding, so that the accident rate is reduced.
The driver state monitoring module 7 includes: wearing equipment, intelligent seat, intelligent safety belt, intelligent seatpad. Monitoring bad driving behavior habits of a driver, such as fatigue driving, call making during driving or smoking and sudden diseases causing driving incapacity, giving an alarm and uploading data to the system watching platform 1 to execute the function of an emergency treatment plan by various sign sensors integrated by the intelligent wearable equipment;
fig. 2 to fig. 4 are block diagrams of the vehicle data acquisition module 8 in the present embodiment.
The internal environment monitoring 8.1 comprises: the temperature and humidity sensor 8.1.1 and the air quality sensor 8.1.2 in the vehicle can monitor the temperature, humidity, air quality, harmful gas concentration, alcohol content and other data in the vehicle.
The vehicle condition monitoring module 8.2 comprises: pressure sensor 8.2.1, speed sensor 8.2.2, acceleration sensor 8.2.3, engine temperature 8.2.4, engine speed sensor 8.2.5.
As shown in fig. 5, the road condition monitoring module 9 includes: a road image acquisition unit 9.1 comprising a camera/photographing assembly; the road image processing unit 9.2 comprises a road image segmentation unit and a road image conversion unit; lane line detection unit 9.3. Through sensor monitoring vehicle external environment data, data such as humiture, air quality, road surface condition, numerical value can pass through vehicle terminal controller 2 and convey to system display element and system on duty platform 1. The road image acquiring unit 9.1 acquires a road image by using a camera assembly, the road image processing unit 9.2 is configured to segment the road image and transform the segmented road image from an image coordinate system to a top view space coordinate system, and the lane line detecting unit 9.3 is configured to detect a lane line in the top view space coordinate system.
The invention embodies a number of methods and approaches to this solution and the foregoing is only a preferred embodiment of the invention. It should be noted that, for those skilled in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be construed as the protection scope of the present invention. All the components not specified in the present embodiment can be realized by the prior art.
Claims (10)
1. The utility model provides a vehicle safety precaution system based on thing networking which characterized in that includes:
the system on duty platform is used for realizing remote information interaction with a user and the terminal equipment through the communication technology of the Internet of things;
the terminal controller comprises a central processing unit, a communication module, a display unit and an intelligent voice recognition unit; the display unit is used for inputting and outputting user instructions; the intelligent voice recognition unit is used for providing a voice information interaction function; the communication module is used for communicating with the system on-duty platform;
the identity recognition module comprises a camera assembly, an RFID recognition unit, a face recognition unit and a voice input unit; the face recognition unit is used for verifying the identity of the driver, and the voice input unit is used for recognizing the voice authentication information of the driver to be verified; the RFID induction chip realizes the keyless starting function; the camera component is used for collecting driver identity identification information and process and tracing and checking;
the navigation system receives vehicle position information sent by a satellite through a positioning module and sends the vehicle position information to a remote vehicle terminal control module, and the vehicle terminal control module is used for interacting road condition information with a cloud server in real time and planning an optimal driving route through cloud computing;
the auxiliary driving module comprises a braking unit, an obstacle sensing radar and a road deviation monitoring module; the system is used for judging abnormal driving data detected by the terminal sensor equipment as an unexpected driving when a vehicle and a driver can not drive normally in an unexpected way, and transmitting the abnormal data of the sensor to the system on-duty platform and the vehicle brake unit through the terminal controller; the vehicle braking unit performs safe braking on the vehicle through braking, and simultaneously sends an alarm instruction to the warning module to start acousto-optic alarm;
the warning module is used for comprising a display unit and an audible and visual alarm component;
the driver state monitoring module monitors vital signs of a driver through various sign sensors integrated by the intelligent wearable equipment, and gives an alarm and uploads data to the system on duty platform when the vital sign indexes exceed preset vital sign threshold values;
the vehicle data acquisition module monitors the internal environment data of the vehicle through an internal sensor; monitoring the tire pressure of a vehicle through a pressure sensor, monitoring the speed of the vehicle through a speed sensor, monitoring the acceleration of the vehicle through an acceleration sensor, monitoring the temperature of an engine through an engine temperature sensor, and monitoring the rotating speed of the engine through an engine rotating speed sensor;
the road condition monitoring module comprises a road image acquisition unit, a road image processing unit, a lane line detection unit and a vehicle external sensor, monitors vehicle external environment data through the vehicle sensor, and transmits the data to a display unit of a terminal controller and a system watching platform through the vehicle terminal controller.
2. The internet of things-based vehicle safety warning system of claim 1, wherein: remote information interaction, analysis, early warning, remote equipment control and locking functions with a user and the terminal equipment are realized through the communication technology of the Internet of things; the system is used for monitoring the running state of a user vehicle in an all-round way, providing the optimal driving route in real time and relevant driving assistance functions, and if abnormity is found, an emergency treatment plan can be immediately executed.
3. The internet of things-based vehicle safety warning system of claim 1, wherein: the navigation system comprises a GPS/Beidou positioning module, a GPS antenna and a GIS map unit.
4. The internet of things-based vehicle safety warning system of claim 1, wherein: each sign sensor that intelligence wearing equipment is integrated includes intelligent wrist-watch, intelligent bracelet, intelligent seatpad, intelligent safety belt, intelligent glasses.
5. The internet of things-based vehicle safety warning system of claim 1, wherein: the driver state monitoring module monitors bad driving behavior habits of a driver, including fatigue driving, call receiving and making during driving or smoking and sudden diseases causing driving incapacity, gives an alarm and uploads data to the system execution platform to execute the function of emergency treatment plan.
6. The internet of things-based vehicle safety warning system of claim 4 or 5, wherein: the driver state monitoring module monitors the blood sugar, heart rate, body temperature and blood pressure of a driver.
7. The internet of things-based vehicle safety warning system of claim 1, wherein: and the auxiliary driving module automatically controls the vehicle to brake in place before collision according to the obstacle induction radar and the road deviation monitoring.
8. The internet of things-based vehicle safety warning system of claim 1, wherein: the vehicle data acquisition module monitors the internal environment of the vehicle and comprises data of temperature, humidity, air quality, harmful gas concentration and alcohol content in the vehicle.
9. The internet of things-based vehicle safety warning system of claim 1, wherein: the road condition monitoring module monitors external environmental data of the vehicle through an external sensor, wherein the external environmental data comprises temperature, humidity, air quality and road surface condition data.
10. The internet of things-based vehicle safety warning system of claim 1, wherein: one or more vital signs sensing devices associated with one or more vehicle occupants in the vehicle; and determining a state of health in the one or more vehicle occupants and position information in the one or more vehicle occupants relative to the vehicle based on the data; the internet of things vehicle safety precaution system confirms whether one of the one or more vehicle occupants is located in the vehicle based on the position information comparing whether the position of the one or more vehicle occupants substantially coincides with the position of the vehicle within a time threshold.
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