WO2018028069A1 - Procédé et système d'évaluation de conduite prudente basés sur une unité intelligente montée sur un véhicule - Google Patents

Procédé et système d'évaluation de conduite prudente basés sur une unité intelligente montée sur un véhicule Download PDF

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Publication number
WO2018028069A1
WO2018028069A1 PCT/CN2016/105634 CN2016105634W WO2018028069A1 WO 2018028069 A1 WO2018028069 A1 WO 2018028069A1 CN 2016105634 W CN2016105634 W CN 2016105634W WO 2018028069 A1 WO2018028069 A1 WO 2018028069A1
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WIPO (PCT)
Prior art keywords
vehicle
driving
information
intelligent unit
module
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PCT/CN2016/105634
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English (en)
Chinese (zh)
Inventor
刘均
刘新
宋朝忠
欧阳张鹏
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深圳市元征科技股份有限公司
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Publication of WO2018028069A1 publication Critical patent/WO2018028069A1/fr

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time

Definitions

  • the invention relates to a safe driving evaluation method and system based on a vehicle intelligent unit.
  • the main object of the present invention is to provide a safe driving evaluation method and system based on an in-vehicle intelligent unit, and estimate whether the driver's driving habits are potentially dangerous according to the specific use situation and driving habits of the customer. It aims to solve the problem of the lag of the traditional safe driving evaluation method.
  • the present invention provides a safe driving evaluation method based on an in-vehicle intelligent unit, which includes the following steps:
  • Real-time sensing of vehicle driving state information including position information, motion acceleration information, motion azimuth information, and reading vehicle state data of the driving computer;
  • the cloud server analyzes the vehicle driving state information and the vehicle state data to complete the vehicle safety driving evaluation
  • the cloud server sends the evaluation result to the mobile terminal.
  • the cloud server analyzes the vehicle driving state information and the vehicle state data, and the step S3 of completing the vehicle safety driving evaluation includes:
  • the real-time sensing vehicle driving state information including the position information, the motion acceleration information, the motion azimuth information, and the step S1 of reading the vehicle state data of the driving computer, further includes:
  • the invention also provides a safe driving evaluation system based on an in-vehicle intelligent unit, comprising an in-vehicle intelligent unit, a cloud server and a mobile terminal, wherein the in-vehicle intelligent unit comprises:
  • a navigation module for collecting driving time, driving time, geographical location and moving speed information of the vehicle
  • a sensor module including an acceleration sensor and an azimuth sensor, for collecting motion acceleration information and real-time motion azimuth information of the vehicle;
  • a driving data acquisition module configured to connect with a driving computer through a CAN bus to acquire state data of the vehicle
  • a storage module configured to store various information data of the collected vehicle
  • a transmission module configured to receive a control instruction of the mobile terminal, and upload various information data of the vehicle saved by the storage module;
  • the data processing module is connected to the navigation module, the sensor module, the storage module, and the driving data acquisition module as a control center of the device.
  • the in-vehicle intelligent unit-based safe driving evaluation system further includes an identity recognition module.
  • the identity recognition module comprises a fingerprint recognition device and/or a voice recognition device.
  • the acceleration sensor is a six-axis linear acceleration sensor.
  • the azimuth sensor is a three-axis digital magnetometer.
  • the navigation module comprises a satellite navigation module and/or a wireless base station navigation module.
  • the transmission module comprises a Bluetooth module and/or a mobile communication module.
  • FIG. 1 is a flow chart of a method for safe driving evaluation based on an in-vehicle intelligent unit according to the present invention
  • FIG. 2 is a schematic structural view of a vehicle-mounted intelligent unit in the safe driving evaluation system of the present invention.
  • first, second, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated.
  • features defining “first” or “second” may include at least one of the features, either explicitly or implicitly.
  • the meaning of "a plurality” is at least two, such as two, three, etc., unless specifically defined otherwise.
  • the terms "connected”, “fixed” and the like should be understood broadly, unless otherwise clearly defined and limited.
  • “fixed” may be a fixed connection, or may be a detachable connection, or may be integrated; It may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and may be an internal connection of two elements or an interaction relationship of two elements unless explicitly defined otherwise.
  • the specific meanings of the above terms in the present invention can be understood on a case-by-case basis.
  • a safe driving evaluation method based on a vehicle intelligent unit includes the following steps:
  • S1 real-time sensing vehicle driving state information, including position information, motion acceleration information, motion azimuth information, and reading vehicle state data of the driving computer;
  • the cloud server analyzes the driving state information of the vehicle and the vehicle state data, and completes the vehicle safety driving assessment
  • the cloud server sends the evaluation result to the mobile terminal.
  • Car smart unit is also called Telematics BOX, part of the car networking system.
  • the car networking system consists of four parts, the host, the car smart unit, the mobile APP and the back-end system (including the cloud server).
  • the host is mainly used for audio-visual entertainment and vehicle information display;
  • the vehicle-mounted intelligent unit is mainly used for communication with the background system or the mobile APP, and realizes the display and control of the vehicle information of the mobile APP.
  • the background system will issue a monitoring request command to the vehicle intelligent unit.
  • the vehicle After obtaining the control command, the vehicle sends the control message through the CAN bus and realizes the control of the vehicle, and finally the feedback operation result is On the user's mobile app, this function only helps the user to remotely start the vehicle, turn on the air conditioner, adjust the seat to the proper position, and so on.
  • the technical solution of the present invention applies the currently popular vehicle intelligent unit device, and collects and records posture data of the vehicle during running, such as geographical position, acceleration, azimuth, unit time mileage, etc., to judge the driving habit of the driver.
  • posture data of the vehicle during running such as geographical position, acceleration, azimuth, unit time mileage, etc.
  • the vehicle's speed and acceleration are not a reference for judging its driving habits.
  • the azimuth change speed is large indicating the driver's driving.
  • Habits are potentially dangerous; if the vehicle is traveling on a winding road, the azimuth change speed is not a good reference for judging its driving habits.
  • the vehicle intelligent unit can also connect with the driving computer ECU of the vehicle through the CAN bus to collect and record the state of the vehicle, such as tire pressure, fuel consumption, working conditions of various subsystems, etc., and collect and record the vehicle driving posture data, and upload them together.
  • the cloud server it can also be transmitted to the driver's mobile terminal such as mobile phone and tablet for display by the driver.
  • the cloud server receives the data transmitted by the vehicle intelligent unit for analysis, and obtains the driver's driving habit judgment result. It is conceivable that there should be an evaluation value, and finally the cloud server feeds the evaluation result to the driver and the relevant evaluator.
  • Mobile terminal receives the data transmitted by the vehicle intelligent unit for analysis, and obtains the driver's driving habit judgment result. It is conceivable that there should be an evaluation value, and finally the cloud server feeds the evaluation result to the driver and the relevant evaluator.
  • the cloud server analyzes the vehicle driving state information and the vehicle state data, and the step S3 of completing the vehicle safety driving evaluation includes:
  • the cloud server can connect to the public security traffic management system on the network to inquire about the past violation information of the vehicle, and analyze the state of the driver's driving behavior when these violations occur, and whether there is a connection with the violation. If the violation record is overspeed, then the analysis determines whether the acceleration and azimuth change speed of the vehicle at that time is large, and can make more accurate analysis and judgment on the driver's driving habits and even the traffic accident.
  • the real-time sensing vehicle driving state information including the position information, the motion acceleration information, the motion azimuth information, and the step S1 of reading the vehicle state data of the driving computer, further includes:
  • the above evaluation method is based on the fact that one car corresponds to one driver by default, but in many cases, the car may be loaned to relatives and friends by the owner, or the vehicle belongs to a car rental company, etc. In this case, each person needs to be established separately.
  • the driver's driving profile corresponds to the analysis of each driver's driving behavior. Before the driver drives the car, the driver's identity information can be identified and a personal profile can be created.
  • the identification method may be fingerprint recognition of the driver, voice recognition, or more accurate retinal recognition technology, etc., and will not be described here. Differentiating each user of the vehicle can separately predict the driving behavior of each user, and also has the following effects, such as confirming the responsible person of the vehicle as soon as possible, or the suspect of the stolen vehicle.
  • the present invention also provides a vehicle-mounted intelligent unit-based safe driving evaluation system, including a vehicle-mounted intelligent unit 100, a cloud server 200, and a mobile terminal 300.
  • vehicle-mounted intelligent unit 100 includes:
  • the navigation module 110 is configured to collect travel time, travel time, geographic location, and motion speed information of the vehicle;
  • the sensor module 120 includes an acceleration sensor 121 and an azimuth sensor 122 for acquiring motion acceleration information and real-time motion azimuth information of the vehicle;
  • the driving data obtaining module 160 is configured to connect to the driving computer through the CAN bus to acquire state data of the vehicle;
  • the storage module 130 is configured to store various information data of the collected vehicle
  • the transmission module 140 is configured to receive the control instruction of the mobile terminal 300, and upload the vehicle various information data saved by the storage module 130 to the cloud server 200;
  • the data processing module 150 is connected to the navigation module 110, the sensor module 120, the storage module 130, and the driving data acquisition module 160 as a control center of the in-vehicle intelligent unit-based safe driving evaluation system.
  • the vehicle intelligent unit 100 adopted by the technical solution of the present invention collects and records posture data of the vehicle during running, such as geographical position, acceleration, azimuth, unit time mileage, etc., to judge the driving habits of the driver, for example:
  • the acceleration of the vehicle is collected by the acceleration sensor 121 in combination with the mileage traveled by the navigation module 110 in a unit time. If the vehicle is traveling in an urban area or an accident-prone road section, the driving speed and acceleration of the vehicle are large, indicating that the driver has to step on the accelerator and emergency brake. The habit is potentially dangerous; if the vehicle is driving on a high-speed or sparsely populated suburban section, the speed does not exceed the highway speed limit. At this time, the vehicle's speed and acceleration are not a reference for judging its driving habits.
  • the azimuth angle sensor 122 collects the speed of change of the azimuth of the vehicle, and the location of the vehicle collected by the navigation module 110 determines whether the driver likes a sharp turn. If the vehicle travels in an urban area, a high speed or a relatively straight suburban section, the azimuth changes. A high speed indicates that the driver's driving habits are potentially dangerous; if the vehicle is traveling on a winding section, the azimuth change speed is not a good reference for judging its driving habits.
  • the vehicle intelligent unit 100 can also connect with the driving computer ECU of the vehicle through the CAN bus, collect and record the state of the vehicle, such as tire pressure, fuel consumption, working conditions of various subsystems, etc., and collect and record the vehicle driving posture data, together
  • the upload to the cloud server 200 can also be simultaneously transmitted to the driver's mobile terminal 300 such as a mobile phone or a tablet computer for display by the driver.
  • the cloud server 200 receives the data transmitted by the in-vehicle intelligent unit 100 for analysis, and obtains the driver's driving habit judgment result. It is conceivable that there should be an evaluation value, and finally the cloud server 200 returns the evaluation result to the driver and related.
  • the mobile terminal 300 of the evaluator receives the data transmitted by the in-vehicle intelligent unit 100 for analysis, and obtains the driver's driving habit judgment result. It is conceivable that there should be an evaluation value, and finally the cloud server 200 returns the evaluation result to the driver and related.
  • the mobile terminal 300 of the evaluator The mobile terminal 300 of the evaluator.
  • the safe driving evaluation system based on the vehicle intelligent unit 100 further includes an identity recognition module (not shown).
  • the vehicle may be loaned to relatives and friends by the owner, or the vehicle belongs to a rental car company, etc.
  • the driver's identity information can be first identified by the identity module before the driver drives, and a personal profile can be created.
  • the driving file Through the driving file, the actual use of the vehicle can be recorded more accurately, which is convenient for subsequent safe driving evaluation.
  • the insurance company can more accurately evaluate the insurance costs of the vehicle according to the daily use of the vehicle.
  • the identity recognition module comprises a fingerprint recognition device and/or a voice recognition device.
  • the identification module can use the fingerprint recognition module, the speech recognition module, or the more precise retina recognition technology, etc., alone or in combination, and will not be described here.
  • the acceleration sensor 121 is a six-axis linear acceleration sensor, which can more accurately determine the running acceleration of the vehicle.
  • the azimuth angle sensor 122 is a three-axis digital magnetometer, which makes the acquisition of the vehicle azimuth change speed more accurate.
  • the navigation module 110 includes a satellite navigation module (not labeled) and/or a wireless base station navigation module (not labeled).
  • the satellite navigation module can use one or more of a Beidou satellite navigation module, a GPS navigation module, or a Glonass navigation module.
  • the wireless base station navigation module also becomes an AGPS navigation module, which is a positioning navigation mode using a wireless signal base station.
  • AGPS navigation module is a positioning navigation mode using a wireless signal base station.
  • the transmission module 140 comprises a Bluetooth module and/or a mobile communication module.
  • the in-vehicle intelligent unit 100 uses the Bluetooth module and the driver's mobile terminal 300 to connect the real-time data for transmitting the vehicle and the analysis result of the cloud server 200, and uses the mobile communication module such as GPRS, 3G, 4G communication module for uploading with the cloud server 200. ,Receive data.

Abstract

La présente invention concerne un procédé et un système d'évaluation de conduite prudente basés sur une unité intelligente montée sur un véhicule. Le procédé comprend les étapes suivantes consistant : à détecter, en temps réel, des informations d'état de conduite de véhicule comprenant des informations de localisation, des informations d'accélération de mouvement et des informations d'azimut de mouvement, et à lire des données d'état de véhicule d'un ordinateur de véhicule; à stocker les informations d'état de conduite de véhicule et les données d'état de véhicule, et à télécharger de manière synchrone les informations d'état de conduite de véhicule et les données d'état de véhicule vers un serveur en nuage, ou à télécharger de manière simultanée les informations d'état de conduite de véhicule et les données d'état de véhicule vers un terminal mobile; à analyser, par le serveur en nuage, les informations d'état de conduite de véhicule et les données d'état de véhicule afin de terminer l'évaluation de conduite prudente de véhicule; et à envoyer, par le serveur en nuage, le résultat d'évaluation au terminal mobile. Selon le procédé d'évaluation de conduite prudente basé sur une unité intelligente montée sur un véhicule, divers capteurs sont intégrés pour collecter des données de conduite d'un véhicule en temps réel afin d'évaluer une habitude de conduite d'un client, et des performances globales du véhicule dans divers états sont enregistrées, de telle sorte qu'un procédé d'évaluation précise de conduite prudente est proposé.
PCT/CN2016/105634 2016-08-11 2016-11-14 Procédé et système d'évaluation de conduite prudente basés sur une unité intelligente montée sur un véhicule WO2018028069A1 (fr)

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CN201610658046.1 2016-08-11
CN201610658046.1A CN106297283A (zh) 2016-08-11 2016-08-11 基于车载智能单元的安全驾驶评估方法及系统

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