CN111907438A - Vehicle driving information monitoring method and system - Google Patents

Vehicle driving information monitoring method and system Download PDF

Info

Publication number
CN111907438A
CN111907438A CN201910384888.6A CN201910384888A CN111907438A CN 111907438 A CN111907438 A CN 111907438A CN 201910384888 A CN201910384888 A CN 201910384888A CN 111907438 A CN111907438 A CN 111907438A
Authority
CN
China
Prior art keywords
vehicle
information
state information
global positioning
working condition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910384888.6A
Other languages
Chinese (zh)
Inventor
樊平安
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingdong Zhenshi Information Technology Co Ltd
Original Assignee
Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jingdong Century Trading Co Ltd, Beijing Jingdong Shangke Information Technology Co Ltd filed Critical Beijing Jingdong Century Trading Co Ltd
Priority to CN201910384888.6A priority Critical patent/CN111907438A/en
Publication of CN111907438A publication Critical patent/CN111907438A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/023Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
    • B60R16/0231Circuits relating to the driving or the functioning of the vehicle
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808Diagnosing performance data
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841Registering performance data
    • G07C5/085Registering performance data using electronic data carriers

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Mechanical Engineering (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a vehicle driving information monitoring method and a system, wherein the method comprises the following steps: acquiring vehicle state information, wherein vehicle state information of a corresponding vehicle is read by vehicle-mounted automatic diagnosis system equipment, and the vehicle state information carries a corresponding vehicle identification number; storing the acquired vehicle state information into a vehicle state information message queue; the vehicle state information is taken out from the vehicle state information message queue one by one, the taken out vehicle state information is respectively processed according to the corresponding vehicle identification number, and the vehicle state information with the same vehicle identification number is intensively stored; determining complete travel information according to the vehicle state information which is stored in a centralized manner, wherein the complete travel information is the vehicle state information which is acquired from the beginning of the travel to the end of the travel of the vehicle; and determining dangerous driving data of the corresponding vehicle according to the complete travel information. The driving behavior data of the driver can be accurately and comprehensively obtained, and the vehicle driving information can be really and reliably monitored.

Description

Vehicle driving information monitoring method and system
Technical Field
The invention relates to a logistics motorcade safety monitoring technology, in particular to a vehicle driving information monitoring method and system.
Background
The driving rows of drivers of collective heavy asset vehicles such as logistics fleets and the like are extremely important to the efficiency of logistics operation. The logistics fleet has many drivers, and each driver needs to be monitored, scored and subjected to targeted examination and training. In the prior art, the position of a vehicle is usually monitored in real time only by means of an on-board GPS (Global Positioning System), so as to obtain a driving track of the vehicle, and further determine the driving behavior of a driver. In this manner, the driving behavior of the driver is directly determined, and the driver is trained based on the obtained driving behavior, but the manner of training the safety awareness of the driver is one-sided.
For those skilled in the art, how to effectively monitor the driving behavior of the driver, so as to accurately and comprehensively obtain the driving behavior of the driver, and truly and reliably determine the driving behavior of the driver, so that the driver is trained in a targeted manner.
Disclosure of Invention
The invention provides a vehicle driving information monitoring method and system, which can accurately and comprehensively obtain driving behavior data of a driver and truly and reliably monitor vehicle driving information.
One embodiment of the present invention provides a vehicle driving information monitoring method, including the steps of:
acquiring vehicle state information, wherein the vehicle state information represents information which can be acquired under a vehicle using state; each vehicle is provided with corresponding vehicle-mounted automatic diagnosis system equipment, the vehicle-mounted automatic diagnosis system equipment reads vehicle state information of the corresponding vehicle, and the vehicle state information carries a corresponding vehicle identification number;
storing the acquired vehicle state information into a vehicle state information message queue;
the vehicle state information is taken out from the vehicle state information message queue one by one, the taken out vehicle state information is respectively processed according to the corresponding vehicle identification number, and the vehicle state information with the same vehicle identification number is stored in a centralized manner;
determining complete travel information according to the vehicle state information which is stored in a centralized manner, wherein the complete travel information is the vehicle state information which is acquired from the beginning of the travel to the end of the travel of the vehicle, and the complete travel information at least comprises the beginning of the travel information and the end of the travel information;
and determining dangerous driving data of the corresponding vehicle according to the complete travel information, wherein the dangerous driving data of the vehicle represents data of the driving data exceeding a vehicle safety threshold value.
Optionally, the following steps are included between the step of determining complete trip information according to the vehicle state information stored in the centralized manner and the step of determining dangerous driving data of the corresponding vehicle according to the complete trip information:
and the vehicle state information in the complete travel information is taken out one by one and is distributed to different driving behavior processing logics, and the complete travel information at least comprises vehicle speed information, engine rotating speed information, coolant temperature information, vehicle door state information, gear state information, brake state information and safety belt state information.
Optionally, the vehicle state information includes: vehicle operating condition information and global positioning information, the obtaining vehicle state information further comprises:
acquiring vehicle working condition information according to a vehicle-mounted automatic diagnosis system equipment protocol, wherein the vehicle working condition information represents performance parameter information under a vehicle use state;
global positioning information is acquired based on the global positioning sensor, the global positioning information representing position information of the vehicle.
Optionally, the saving the acquired vehicle state information in the vehicle state information message queue further includes:
storing the acquired vehicle working condition information into a vehicle working condition information message queue;
and storing the acquired vehicle global positioning information into a vehicle global positioning information message queue.
Optionally, the retrieving the vehicle state information one by one from the vehicle state information message queue further includes:
the vehicle working condition information is taken out from the vehicle working condition information message queue one by one, and the vehicle working condition information with the same vehicle identification number is stored in a centralized manner;
the vehicle global positioning information is taken out from the vehicle global positioning information message queue one by one, and the vehicle global positioning information with the same vehicle identification number is stored in a centralized way;
and matching the vehicle working condition information stored in a centralized manner and the global positioning information stored in a centralized manner one by one according to the vehicle identification number.
The present invention also provides a vehicle driving information monitoring system, the system comprising:
the vehicle state information acquisition module is used for acquiring vehicle state information, and the vehicle state information represents information which can be acquired in a vehicle use state; each vehicle is provided with corresponding vehicle-mounted automatic diagnosis system equipment, the vehicle-mounted automatic diagnosis system equipment reads vehicle state information of the corresponding vehicle, and the vehicle state information carries a corresponding vehicle identification number;
the information storage module is used for storing the acquired vehicle state information into a vehicle state information message queue;
the information processing module is used for taking the vehicle state information out of the vehicle state information message queue one by one, respectively processing the taken vehicle state information according to the corresponding vehicle identification number, and intensively storing the vehicle state information with the same vehicle identification number;
the system comprises a journey analysis module, a journey analysis module and a journey analysis module, wherein the journey analysis module is used for determining complete journey information according to the vehicle state information which is stored in a centralized manner, the complete journey information is the vehicle state information which is acquired from the beginning of a journey to the end of the journey of a vehicle, and the complete journey information at least comprises the journey beginning information and the journey end information;
and the dangerous driving data analysis module is used for determining dangerous driving data of the corresponding vehicle according to the complete travel information, wherein the dangerous driving data of the vehicle represents data of which the driving data exceeds a vehicle safety threshold value.
Optionally, the system further comprises:
and the driving behavior analysis module is used for taking out the vehicle state information in the complete travel information one by one and distributing the vehicle state information to different driving behavior processing logics, wherein the complete travel information at least comprises vehicle speed information, engine rotating speed information, coolant temperature information, vehicle door state information, gear state information, brake state information and safety belt state information.
Optionally, the vehicle state information obtaining module further includes:
the vehicle working condition information acquisition submodule is used for acquiring vehicle working condition information according to a vehicle-mounted automatic diagnosis system equipment protocol, and the vehicle working condition information represents performance parameter information under a vehicle use state;
and the global positioning information submodule is used for acquiring global positioning information according to the global positioning sensor, and the global positioning information represents the position information of the vehicle.
Optionally, the information saving module further comprises:
the vehicle working condition information storage submodule is used for storing the acquired vehicle working condition information into a vehicle working condition information message queue;
and the vehicle global positioning information storage submodule is used for storing the acquired vehicle global positioning information into a vehicle global positioning information message queue.
Optionally, the journey analysis module further comprises:
the vehicle working condition information analysis submodule is used for taking the vehicle working condition information out of the vehicle working condition information message queue one by one and storing the vehicle working condition information with the same vehicle identification number in a centralized manner;
the global positioning information analysis submodule is used for taking the vehicle global positioning information out of the vehicle global positioning information message queue one by one and storing the vehicle global positioning information with the same vehicle identification number in a centralized way;
and the information matching analysis submodule is used for matching the centrally stored vehicle working condition information and the centrally stored global positioning information one by one according to the vehicle identification number.
The present invention also provides a computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the steps in the vehicle driving information monitoring method described above.
The present invention also provides a computer comprising the computer-readable storage medium described above and a processor that can execute the instructions in the computer-readable storage medium.
Therefore, based on the above embodiments, the vehicle driving information monitoring method and system provided by the invention can accurately and comprehensively obtain the driving behavior data of the driver, and truly and reliably monitor the vehicle driving information.
Drawings
FIG. 1 is a flow chart of a method for monitoring vehicle driving information according to the present invention;
FIG. 2 is a flowchart of the method of step 102;
FIG. 3 is a flowchart of the method of step 103;
FIG. 4 is a schematic diagram of a vehicle driving information monitoring system according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of an internal structure of an information storage module according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an internal structure of a trip analysis module according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and examples.
The invention provides a vehicle driving information monitoring method and system for detailed description. The technical solution of the present invention will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a flow chart of a vehicle driving information monitoring method according to the present invention.
An On-Board Diagnostics (OBD) can monitor the state of the automobile at any time from the running condition of the engine, and is used for alarming faults and informing a driver.
The invention provides a method for analyzing and obtaining vehicle travel, driving track and driving behavior of a driver by using vehicle common index data acquired by OBD equipment based on common indexes monitored by the existing OBD equipment of the vehicle, and determining the driving behavior level of the driver.
In one embodiment, as shown in fig. 1, the present invention provides a vehicle driving information monitoring method, comprising the steps of:
step 101: acquiring vehicle state information, wherein the vehicle state information represents information which can be acquired under the use state of a vehicle; each vehicle is provided with corresponding vehicle-mounted automatic diagnosis system equipment, the vehicle-mounted automatic diagnosis system equipment reads vehicle state information of the corresponding vehicle, and the vehicle state information carries a corresponding vehicle identification number
Step 102: storing the acquired vehicle state information into a vehicle state information message queue;
step 103: the vehicle state information is taken out from the vehicle state information message queue one by one, the taken out vehicle state information is respectively processed according to the corresponding vehicle identification number, and the vehicle state information with the same vehicle identification number is intensively stored;
step 104: determining complete travel information according to the vehicle state information stored in a centralized manner, wherein the complete travel information is the vehicle state information collected from the beginning of the travel to the end of the travel of the vehicle, and the complete travel information at least comprises the travel beginning information and the travel ending information;
step 105: and determining dangerous driving data of the corresponding vehicle according to the complete travel information, wherein the dangerous driving data of the vehicle represents data of the driving data exceeding a vehicle safety threshold value.
Further, between step 104 and step 105, there is further included step 106: and the vehicle state information in the complete travel information is taken out one by one and is distributed to different driving behavior processing logics, and the complete travel information at least comprises vehicle speed information, engine rotating speed information, coolant temperature information, vehicle door state information, gear state information, brake state information and safety belt state information.
The vehicle state information in step 101 includes vehicle operating condition information and global positioning information, and specifically, step 101 further includes the following steps:
acquiring vehicle working condition information according to a vehicle-mounted automatic diagnosis system equipment protocol, wherein the vehicle working condition information represents performance parameter information under a vehicle use state, and the vehicle working condition information in a complete travel message not only comprises the vehicle speed information, the engine rotating speed information, the coolant temperature information, the vehicle door state information, the gear state information, the brake state information and the safety belt state information, but also at least comprises the following steps: accumulated mileage, total mileage, oil consumption and steering wheel angle.
Meanwhile, the on-board automatic diagnostic system of the OBD obtains global positioning information according to the global positioning sensor, and the global positioning information represents the position information of the vehicle.
The OBD vehicle-mounted automatic diagnosis system is used for reading the state information of each vehicle, and specifically, before the vehicle state information is obtained, the OBD vehicle-mounted automatic diagnosis system device receives the vibration signal of the corresponding vehicle and starts the operation of reading the state information of each vehicle.
That is to say, the vehicle triggers a sensor in the on-board automatic diagnostic system of the OBD to wake up the on-board automatic diagnostic system of the OBD through the vibration of the vehicle body, so that the on-board automatic diagnostic system of the OBD is started to read the state information of the respective vehicle.
The OBD vehicle-mounted automatic diagnosis system is in real-time communication with a vehicle state information acquisition module in the vehicle driving information monitoring system through a network, so that the OBD vehicle-mounted automatic diagnosis system is in communication with services in a dynamic configuration frequency mode.
In a further specific embodiment, as shown in fig. 2, the storing the acquired vehicle state information in the conductive vehicle state information message queue at step 102 further includes:
step 1021: storing the acquired vehicle working condition information into a vehicle working condition information message queue;
step 1022: and storing the acquired vehicle global positioning information into a vehicle global positioning information message queue.
Further, as shown in fig. 3, the step 103 of retrieving the vehicle state information one by one from the vehicle state information message queue includes:
step 1031: the vehicle working condition information is taken out one by one from the vehicle working condition information message queue, and the vehicle working condition information with the same vehicle identification number is stored in a centralized manner;
step 1032: the vehicle global positioning information is taken out from the vehicle global positioning information message queue one by one, and the vehicle global positioning information with the same vehicle identification number is stored in a centralized way;
step 1033: and matching the vehicle working condition information stored in the set and the global positioning information stored in the set one by one according to the vehicle identification number.
In a particular embodiment, to implement steps 103 and 104, a distributed real-time computing system may be employed to process the complete trip information.
Specifically, a distributed real-time computing system Storm is adopted, and consumed vehicle working condition information with the same vehicle identification number is distributed to a journey matching Blot through vehicle working condition information and vehicle global positioning information in different Spout consumption kafka.
After processing and analysis, when the vehicle speed information and the engine rotating speed information in the vehicle working condition information are both zero, the vehicle is in a stop state, when the vehicle speed information and the engine rotating speed information of the vehicle are both greater than zero, the state at the moment is recorded as a stroke starting state, and when the subsequent vehicle speed information and the engine rotating speed information are continuously greater than zero, the vehicle is in a running state. And a state in which the state stroke ends when the vehicle speed information and the engine speed information become zero for about a predetermined period of time or longer.
From the above, a complete trip information can be determined, and further, the complete trip information is processed and analyzed, including calculating the driving time, the driving distance and the fuel consumption in the complete trip information. And distributing the vehicle working condition information in the complete travel information to a position matching Bolt, acquiring global positioning information from the Spout, and matching through the vehicle working condition information in the position matching Bolt to further obtain the vehicle working condition information under each position coordinate in the running process of the vehicle.
The analysis can likewise be performed using a distributed real-time computing system Storm for step 105.
Specifically, vehicle working condition information and vehicle global positioning information in kafka are consumed through different spaut, consumed vehicle working condition information with the same vehicle identification number is distributed to a driving behavior Bolt, vehicle speed information, engine rotating speed information, coolant temperature information, vehicle door state information, gear state information, brake state information and safety belt state information in the vehicle working condition information are compared with vehicle dangerous driving data, and the vehicle dangerous driving data identify data of which the vehicle driving data exceed a vehicle safety threshold value.
In the specific embodiment, when the vehicle speed in the vehicle speed information is greater than zero and the coolant temperature is greater than 110 degrees, and lasts for five minutes, it is determined that the current vehicle is traveling with an excessively high temperature, and it is abnormal driving data, that is, the vehicle is abnormally driven.
And when the vehicle speed is greater than the speed limit corresponding to the current position coordinate in the safe driving data information, determining that the current vehicle is overspeed driving and is abnormal driving data, namely the vehicle is abnormal driving.
When the vehicle speed is zero, the engine speed is greater than zero and lasts more than five minutes, the current vehicle is determined to be idling for a long time, namely the vehicle is abnormally driven.
And when the vehicle speed is greater than zero and the safety belt state is the unfastened state, determining that the current vehicle is the dangerous driving behavior without fastening the safety belt, and the current vehicle is abnormal driving data, namely the vehicle is in abnormal driving.
And when the vehicle running accumulated time is more than four hours, determining that the current vehicle is in fatigue driving behavior, namely the vehicle is in abnormal driving.
When the forward acceleration acquired by the acceleration sensor is larger than a critical value or smaller than the critical value, the current vehicle acceleration sensor state is determined to be rapid acceleration and rapid deceleration, namely the vehicle is in abnormal driving.
And when the vehicle speed is greater than zero and the door state is the open state, determining that the current vehicle is dangerous driving without closing the door, namely the vehicle is abnormal driving.
The data for specifying abnormal driving of the vehicle may be set as needed, and is not limited to the determination of abnormal driving by the above data.
The vehicle driving state is monitored by the vehicle driving information monitoring method, and the method can be further used for analyzing the driving level of a driver.
Determining the driving behavior state of the driver according to the determined dangerous driving data of the corresponding vehicle and a preset time dimension;
determining a driving score of the driver according to the determined driving behavior state of the driver and a score database established in advance, wherein the score database comprises score values corresponding to the driving behavior state;
the driver is subjected to rank classification according to the driving score and a driving behavior level rank that has been established in advance.
In a specific embodiment, all driving behaviors of the vehicle in a travel time range can be matched according to dangerous driving data of the corresponding vehicle, and further, the driving score of a driver in the travel range can be further determined through preset driving behavior score weights.
In order to further accurately score the driver, the average driving score of the driver per day, per week and per month can be calculated according to different dimensions so as to objectively determine the driving level of the driver.
Furthermore, the determination result of the driving level can be pushed to the driver, so that the driver is warned, and the safety driving awareness is improved.
Meanwhile, the ranking of the drivers with the driving levels of every day, every week and every month can be pushed to the manager, so that the ranking is stored to a group to be trained when the score of the driving level is at a lower level in a preset period, and the ranking is used for carrying out safe driving training on the drivers with the lower score of the driving behavior level.
Based on the embodiment, when the vehicle is in dangerous driving data, the vehicle monitoring system can also send out alarm signals, so that the driver is warned in real time to improve the safe driving consciousness.
Based on substantially the same principle of the above method, in a specific embodiment, the invention further provides a vehicle driving information monitoring system.
As shown in fig. 5, the system includes the following modules:
the vehicle state information acquisition module is used for acquiring vehicle state information, and the vehicle state information represents information which can be acquired in a vehicle use state; each vehicle is provided with corresponding vehicle-mounted automatic diagnosis system equipment, the vehicle-mounted automatic diagnosis system equipment reads vehicle state information of the corresponding vehicle, and the vehicle state information carries a corresponding vehicle identification number;
the information storage module is used for storing the acquired vehicle state information into a vehicle state information message queue;
the information processing module is used for taking the vehicle state information out of the vehicle state information message queue one by one, respectively processing the taken vehicle state information according to the corresponding vehicle identification number, and intensively storing the vehicle state information with the same vehicle identification number;
the travel analysis module is used for determining complete travel information according to the vehicle state information which is stored in a centralized manner, wherein the complete travel information is the vehicle state information which is acquired from the beginning of a travel to the end of the travel of the vehicle, and the complete travel information at least comprises the beginning of the travel information and the end of the travel information;
and the dangerous driving data analysis module is used for determining dangerous driving data of the corresponding vehicle according to the complete travel information, and the dangerous driving data of the vehicle represents data of which the driving data exceeds a vehicle safety threshold value.
The system further comprises a driving behavior analysis module, wherein the driving behavior analysis module is used for taking out the vehicle state information in the complete travel information one by one and distributing the vehicle state information to different driving behavior processing logics, and the complete travel information at least comprises vehicle speed information, engine rotating speed information, coolant temperature information, vehicle door state information, gear state information, brake state information and safety belt state information.
The vehicle state information acquisition module further comprises a vehicle working condition information acquisition submodule and a global positioning information submodule, wherein the vehicle working condition information acquisition submodule is used for acquiring vehicle working condition information according to a vehicle-mounted automatic diagnosis system equipment protocol, and the vehicle working condition information represents performance parameter information under a vehicle use state; the global positioning information submodule is used for acquiring global positioning information according to the global positioning sensor, and the global positioning information represents the position information of the vehicle.
As shown in fig. 5, the information storage module further includes a vehicle condition information storage sub-module and a vehicle global positioning information storage sub-module, and the vehicle condition information storage sub-module is configured to store the acquired vehicle condition information into a vehicle condition information message queue; the vehicle global positioning information storage submodule is used for storing the acquired vehicle global positioning information into a vehicle global positioning information message queue.
As shown in fig. 6, the journey analysis module further includes a vehicle condition information analysis sub-module, a global positioning information analysis sub-module, and an information matching analysis sub-module.
The vehicle working condition information analysis submodule is used for taking the vehicle working condition information out of the vehicle working condition information message queue one by one and storing the vehicle working condition information with the same vehicle identification number in a centralized manner; the global positioning information analysis submodule is used for taking the vehicle global positioning information out of the vehicle global positioning information message queue one by one and storing the vehicle global positioning information with the same vehicle identification number in a centralized way; and the information matching analysis submodule is used for matching the centrally stored vehicle working condition information and the centrally stored global positioning information one by one according to the vehicle identification number.
The present invention also provides a computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the steps of any of the vehicle driving information monitoring methods described above.
The invention also provides a computer comprising the computer-readable storage medium and a processor that can execute instructions in the computer-readable storage medium.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (12)

1. A vehicle driving information monitoring method, characterized by comprising the steps of:
acquiring vehicle state information, wherein the vehicle state information represents information which can be acquired under a vehicle using state; each vehicle is provided with corresponding vehicle-mounted automatic diagnosis system equipment, the vehicle-mounted automatic diagnosis system equipment reads vehicle state information of the corresponding vehicle, and the vehicle state information carries a corresponding vehicle identification number;
storing the acquired vehicle state information into a vehicle state information message queue;
the vehicle state information is taken out from the vehicle state information message queue one by one, the taken out vehicle state information is respectively processed according to the corresponding vehicle identification number, and the vehicle state information with the same vehicle identification number is stored in a centralized manner;
determining complete travel information according to the vehicle state information which is stored in a centralized manner, wherein the complete travel information is the vehicle state information which is acquired from the beginning of the travel to the end of the travel of the vehicle, and the complete travel information at least comprises the beginning of the travel information and the end of the travel information;
and determining dangerous driving data of the corresponding vehicle according to the complete travel information, wherein the dangerous driving data of the vehicle represents data of the driving data exceeding a vehicle safety threshold value.
2. The method of claim 1, wherein the step of determining complete trip information based on the centrally stored vehicle status information and the step of determining hazardous driving data for the corresponding vehicle based on the complete trip information comprises the steps of:
and the vehicle state information in the complete travel information is taken out one by one and is distributed to different driving behavior processing logics, and the complete travel information at least comprises vehicle speed information, engine rotating speed information, coolant temperature information, vehicle door state information, gear state information, brake state information and safety belt state information.
3. The method of claim 1, wherein the vehicle state information comprises: vehicle operating condition information and global positioning information, the obtaining vehicle state information further comprises:
acquiring vehicle working condition information according to a vehicle-mounted automatic diagnosis system equipment protocol, wherein the vehicle working condition information represents performance parameter information under a vehicle use state;
global positioning information is acquired based on the global positioning sensor, the global positioning information representing position information of the vehicle.
4. The method of claim 3, wherein saving the obtained vehicle state information into a vehicle state information message queue further comprises:
storing the acquired vehicle working condition information into a vehicle working condition information message queue;
and storing the acquired vehicle global positioning information into a vehicle global positioning information message queue.
5. The method of claim 4, wherein said retrieving said vehicle status information from said vehicle status information message queue one by one further comprises:
the vehicle working condition information is taken out from the vehicle working condition information message queue one by one, and the vehicle working condition information with the same vehicle identification number is stored in a centralized manner;
the vehicle global positioning information is taken out from the vehicle global positioning information message queue one by one, and the vehicle global positioning information with the same vehicle identification number is stored in a centralized way;
and matching the vehicle working condition information stored in a centralized manner and the global positioning information stored in a centralized manner one by one according to the vehicle identification number.
6. A vehicle driving information monitoring system, the system comprising:
the vehicle state information acquisition module is used for acquiring vehicle state information, and the vehicle state information represents information which can be acquired in a vehicle use state; each vehicle is provided with corresponding vehicle-mounted automatic diagnosis system equipment, the vehicle-mounted automatic diagnosis system equipment reads vehicle state information of the corresponding vehicle, and the vehicle state information carries a corresponding vehicle identification number;
the information storage module is used for storing the acquired vehicle state information into a vehicle state information message queue;
the information processing module is used for taking the vehicle state information out of the vehicle state information message queue one by one, respectively processing the taken vehicle state information according to the corresponding vehicle identification number, and intensively storing the vehicle state information with the same vehicle identification number;
the system comprises a journey analysis module, a journey analysis module and a journey analysis module, wherein the journey analysis module is used for determining complete journey information according to the vehicle state information which is stored in a centralized manner, the complete journey information is the vehicle state information which is acquired from the beginning of a journey to the end of the journey of a vehicle, and the complete journey information at least comprises the journey beginning information and the journey end information;
and the dangerous driving data analysis module is used for determining dangerous driving data of the corresponding vehicle according to the complete travel information, wherein the dangerous driving data of the vehicle represents data of which the driving data exceeds a vehicle safety threshold value.
7. The system of claim 6, further comprising:
and the driving behavior analysis module is used for taking out the vehicle state information in the complete travel information one by one and distributing the vehicle state information to different driving behavior processing logics, wherein the complete travel information at least comprises vehicle speed information, engine rotating speed information, coolant temperature information, vehicle door state information, gear state information, brake state information and safety belt state information.
8. The system of claim 6, wherein the vehicle state information acquisition module further comprises:
the vehicle working condition information acquisition submodule is used for acquiring vehicle working condition information according to a vehicle-mounted automatic diagnosis system equipment protocol, and the vehicle working condition information represents performance parameter information under a vehicle use state;
and the global positioning information submodule is used for acquiring global positioning information according to the global positioning sensor, and the global positioning information represents the position information of the vehicle.
9. The system of claim 8, wherein the information keeping module further comprises:
the vehicle working condition information storage submodule is used for storing the acquired vehicle working condition information into a vehicle working condition information message queue;
and the vehicle global positioning information storage submodule is used for storing the acquired vehicle global positioning information into a vehicle global positioning information message queue.
10. The system of claim 9, wherein the trip analysis module further comprises:
the vehicle working condition information analysis submodule is used for taking the vehicle working condition information out of the vehicle working condition information message queue one by one and storing the vehicle working condition information with the same vehicle identification number in a centralized manner;
the global positioning information analysis submodule is used for taking the vehicle global positioning information out of the vehicle global positioning information message queue one by one and storing the vehicle global positioning information with the same vehicle identification number in a centralized way;
and the information matching analysis submodule is used for matching the centrally stored vehicle working condition information and the centrally stored global positioning information one by one according to the vehicle identification number.
11. A computer readable storage medium storing instructions which, when executed by a processor, cause the processor to perform the steps in the vehicle driving information monitoring method of any one of claims 1-5.
12. A computer, characterized in that the computer comprises the computer-readable storage medium of claim 11 and a processor that can execute the instructions in the computer-readable storage medium.
CN201910384888.6A 2019-05-09 2019-05-09 Vehicle driving information monitoring method and system Pending CN111907438A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910384888.6A CN111907438A (en) 2019-05-09 2019-05-09 Vehicle driving information monitoring method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910384888.6A CN111907438A (en) 2019-05-09 2019-05-09 Vehicle driving information monitoring method and system

Publications (1)

Publication Number Publication Date
CN111907438A true CN111907438A (en) 2020-11-10

Family

ID=73242161

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910384888.6A Pending CN111907438A (en) 2019-05-09 2019-05-09 Vehicle driving information monitoring method and system

Country Status (1)

Country Link
CN (1) CN111907438A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112530162A (en) * 2020-11-20 2021-03-19 广西玉柴机器股份有限公司 Analysis method for data reasonability of GPS (global positioning system) terminal of Internet of vehicles
CN114202994A (en) * 2021-12-03 2022-03-18 广州小鹏汽车科技有限公司 Intelligent driving behavior-assisted safety education system and electronic equipment
CN114446126A (en) * 2021-12-03 2022-05-06 广州小鹏汽车科技有限公司 Safe driving guiding method and device, electronic equipment and readable medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5546305A (en) * 1991-11-11 1996-08-13 Kondo; Shigeru Motor vehicle driving analytically diagnosing method and device
CN103359022A (en) * 2012-03-27 2013-10-23 哈尔滨工业大学深圳研究生院 OBD (on-board diagnostics) system based cloud service system
CN105959021A (en) * 2016-05-31 2016-09-21 深圳市元征科技股份有限公司 Vehicle-mounted diagnosis processing method and terminal based on wearable equipment
CN106790367A (en) * 2016-11-15 2017-05-31 山东省科学院自动化研究所 The vehicle safety hidden danger early warning of big data treatment and accident reproduction system and method
CN108922186A (en) * 2018-07-20 2018-11-30 大连理工大学 It is a kind of that analyzing and alarming system and method are monitored based on the streaming for vehicle that mist calculates
CN109263578A (en) * 2018-10-17 2019-01-25 汉纳森(厦门)数据股份有限公司 Safe driving of vehicle method, medium and device
CN109649396A (en) * 2019-01-18 2019-04-19 长安大学 A kind of commercial vehicle drivers safety detecting method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5546305A (en) * 1991-11-11 1996-08-13 Kondo; Shigeru Motor vehicle driving analytically diagnosing method and device
CN103359022A (en) * 2012-03-27 2013-10-23 哈尔滨工业大学深圳研究生院 OBD (on-board diagnostics) system based cloud service system
CN105959021A (en) * 2016-05-31 2016-09-21 深圳市元征科技股份有限公司 Vehicle-mounted diagnosis processing method and terminal based on wearable equipment
CN106790367A (en) * 2016-11-15 2017-05-31 山东省科学院自动化研究所 The vehicle safety hidden danger early warning of big data treatment and accident reproduction system and method
CN108922186A (en) * 2018-07-20 2018-11-30 大连理工大学 It is a kind of that analyzing and alarming system and method are monitored based on the streaming for vehicle that mist calculates
CN109263578A (en) * 2018-10-17 2019-01-25 汉纳森(厦门)数据股份有限公司 Safe driving of vehicle method, medium and device
CN109649396A (en) * 2019-01-18 2019-04-19 长安大学 A kind of commercial vehicle drivers safety detecting method

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112530162A (en) * 2020-11-20 2021-03-19 广西玉柴机器股份有限公司 Analysis method for data reasonability of GPS (global positioning system) terminal of Internet of vehicles
CN114202994A (en) * 2021-12-03 2022-03-18 广州小鹏汽车科技有限公司 Intelligent driving behavior-assisted safety education system and electronic equipment
CN114446126A (en) * 2021-12-03 2022-05-06 广州小鹏汽车科技有限公司 Safe driving guiding method and device, electronic equipment and readable medium
CN114202994B (en) * 2021-12-03 2024-04-19 广州小鹏汽车科技有限公司 Intelligent driving behavior assisting safety education system and electronic equipment

Similar Documents

Publication Publication Date Title
US9600541B2 (en) Method of processing and analysing vehicle driving big data and system thereof
US8825281B2 (en) Vehicle telemetry system and method for evaluating and training drivers
US10943283B2 (en) Service location recommendation tailoring
US20170103101A1 (en) System for database data quality processing
CN111907438A (en) Vehicle driving information monitoring method and system
CN110705423A (en) Real-time driving behavior reminding method and device, electronic equipment and storage medium
CN104494601A (en) Driving behavior analysis and driving assistance system based on OBD
CN113119985B (en) Automobile driving data monitoring method, device, equipment and storage medium
CN104680348A (en) System for evaluating performance of drivers of logistics vehicles
EP3730375B1 (en) Method and system for analysing the control of a vehicle
CN113263993B (en) Fault early warning method, device, communication equipment and storage medium
CN109242227A (en) The driving risk and assessment models of car steering behavior
WO2019171337A1 (en) Vehicle monitoring system and method
CN113442935B (en) Method and system for judging poor driving behavior of commercial vehicle
CN113762755A (en) Method and device for pushing driver analysis report, computer equipment and storage medium
EP4060628A1 (en) Systems and methods for vehicle data collection by image analysis
CN107499230A (en) Vehicle drive behavior analysis method and system
CN104773155A (en) Initial failure diagnosis method for automobile braking system
US20200160407A1 (en) Server apparatus and information providing method
CN110723148A (en) Method and device for identifying bad driving behaviors
EP3926558A1 (en) Data capture instructions for asset tracking
CN116453345B (en) Bus driving safety early warning method and system based on driving risk feedback
US11682218B2 (en) Methods for vehicle data collection by image analysis
EP4060629A1 (en) Systems and methods for training image processing models for vehicle data collection
EP3926559A1 (en) Data capture trigger configuration for asset tracking

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20210223

Address after: 6 / F, 76 Zhichun Road, Haidian District, Beijing 100086

Applicant after: Beijing Jingdong Zhenshi Information Technology Co.,Ltd.

Address before: 100080 Beijing Haidian District, Suzhou Street, No. 20 Courtyard, No. 2 Building, 1st Floor

Applicant before: Beijing Jingbangda Trading Co.,Ltd.

Effective date of registration: 20210223

Address after: 100080 Beijing Haidian District, Suzhou Street, No. 20 Courtyard, No. 2 Building, 1st Floor

Applicant after: Beijing Jingbangda Trading Co.,Ltd.

Address before: 8 / F, 76 Zhichun Road, Haidian District, Beijing 100083

Applicant before: BEIJING JINGDONG SHANGKE INFORMATION TECHNOLOGY Co.,Ltd.

Applicant before: BEIJING JINGDONG CENTURY TRADING Co.,Ltd.

SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination