CN112102517A - Driving behavior recording method, device, equipment and medium - Google Patents
Driving behavior recording method, device, equipment and medium Download PDFInfo
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- 230000006399 behavior Effects 0.000 claims description 31
- 238000004590 computer program Methods 0.000 claims description 10
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- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- 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
- G07C5/0841—Registering performance data
Abstract
The invention discloses a driving behavior recording method, which comprises the following steps: when the starting of the target vehicle is detected, acquiring vehicle body condition data of the target vehicle and vehicle body driving data of the target vehicle; and when the target vehicle is detected to be flameout, uploading the vehicle body condition data and the vehicle body driving data to a data platform for storage. Therefore, the invention is convenient for timely calling and using the vehicle body condition data and the vehicle body driving data which are needed to be used subsequently. Further, an in-vehicle apparatus, a device, and a storage medium are also proposed.
Description
Technical Field
The invention relates to the technical field of data recording, in particular to a driving behavior recording method, a driving behavior recording device, driving behavior recording equipment and a driving behavior recording medium.
Background
The vehicle is an important vehicle, and the wide popularization of the vehicle facilitates the daily travel of people. The driving behavior data is related data generated after the user uses the vehicle, and is data capable of reflecting the driving condition of the vehicle in the driving process.
The driving behavior data has a wide range of applications, and can be applied to analysis of car accidents, which are mostly caused by inappropriate driving behaviors of drivers, so that the driving behavior data of the vehicles can be analyzed to a certain extent to obtain the cause of the accident. In addition, the driving behavior data are analyzed and risk checked regularly, and the functions of reminding a user of improving driving habits and preventing traffic accidents can be achieved. For the automobile leasing company, the driving behavior data of the automobile is recorded and analyzed, so that the using condition of the automobile can be known, the automobile can be conveniently and timely maintained, and the safety of the automobile is guaranteed. Therefore, a scheme capable of accurately and timely acquiring vehicle driving behavior data is urgently needed at present.
Disclosure of Invention
In view of the above, it is necessary to provide a driving behavior recording method, apparatus, device, and medium capable of acquiring driving behavior data of a vehicle accurately and in time in response to the above-described problems.
A method of driving behavior recording, the method comprising:
when the starting of a target vehicle is detected, acquiring vehicle body condition data of the target vehicle and vehicle body driving data of the target vehicle;
and when the target vehicle is detected to be flameout, uploading the vehicle body condition data and the vehicle body driving data to a data platform for storage.
In one embodiment, the acquiring body condition data of the target vehicle includes:
sampling within a first preset time length according to a preset period to obtain a plurality of first accelerations of the target vehicle;
calculating the average value of the plurality of first accelerations to obtain the average acceleration of the first preset duration;
acquiring a total duration comprising a plurality of first preset durations, and acquiring the average acceleration of each first preset duration in the total duration;
judging whether the average acceleration greater than a first preset threshold exists in the total duration, and counting a first number of the average accelerations greater than the preset threshold if the average acceleration greater than the first preset threshold exists;
judging whether the ratio of the first number to the total number of the first preset time in the total time length is greater than a second preset threshold value or not, and if the ratio of the first number to the total number of the first preset time length in the total time length is greater than the second preset threshold value, judging that the target vehicle is in a rapid speed change state;
and recording the rapid speed change data when the target vehicle is in the rapid speed change state.
In one embodiment, after the determining that the target vehicle is in a rapid-change state, the method further includes:
acquiring the acceleration direction of each average acceleration, judging the rapid speed change type of the rapid speed change state corresponding to the acceleration direction according to the acceleration direction, and recording the rapid speed change type of the target vehicle in the rapid speed change state; wherein the abrupt speed change category comprises abrupt acceleration, abrupt deceleration and abrupt turning.
In one embodiment, the acquiring body condition data of the target vehicle includes:
acquiring a current gravity value of the target vehicle;
when the current gravity value is larger than the collision peak value, acquiring a suspected collision time length of the current gravity value, which is larger than the collision peak value within a second preset time length;
and when the ratio of the suspected collision time length to the second preset time length is larger than a collision ratio threshold value, judging that the target vehicle has collision operation, and recording vehicle body collision data of the target vehicle in the second preset time length.
In one embodiment, after the obtaining the current gravity value of the target vehicle, the method further includes:
acquiring a gravity value threshold of the target vehicle;
when the current gravity value is detected to be out of the gravity value range of the gravity value threshold within a third preset time length, judging that the target vehicle has rollover operation, and recording body rollover data of the target vehicle within the third preset time length.
In one embodiment, the acquiring body driving data of the target vehicle includes:
acquiring rotating speed data and vehicle speed data of the target vehicle;
when the rotating speed data is smaller than a rotating speed threshold value and the vehicle speed data is smaller than a vehicle speed threshold value, determining that the target vehicle is in an idle state, and acquiring at least one first time length of the target vehicle in the idle state;
taking a first time length when the target vehicle is in the idle state for the first time as a hot vehicle time length of the target vehicle;
and counting the sum of the at least one first time length, and taking the sum as the idle time length of the target vehicle.
In one embodiment, after the obtaining the rotation speed data and the vehicle speed data of the target vehicle, the method further includes:
counting the overspeed times of the target vehicle according to the vehicle speed data;
acquiring the driving time of the target vehicle;
and acquiring a difference value between the driving time length and a driving time length threshold value, and taking the difference value as the fatigue driving time length of the target vehicle.
An in-vehicle apparatus, the apparatus comprising:
the data acquisition module is used for acquiring vehicle body condition data of a target vehicle and vehicle body driving data of the target vehicle when the starting of the target vehicle is detected;
and the data uploading module is used for uploading the vehicle body condition data and the vehicle body driving data to a data platform for storage when the target vehicle is detected to be flameout.
A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
when the starting of a target vehicle is detected, acquiring vehicle body condition data of the target vehicle and vehicle body driving data of the target vehicle;
and when the target vehicle is detected to be flameout, uploading the vehicle body condition data and the vehicle body driving data to a data platform for storage.
An in-vehicle apparatus comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of:
when the starting of a target vehicle is detected, acquiring vehicle body condition data of the target vehicle and vehicle body driving data of the target vehicle;
and when the target vehicle is detected to be flameout, uploading the vehicle body condition data and the vehicle body driving data to a data platform for storage.
The invention provides a driving behavior recording method, a device, equipment and a medium, which are characterized in that vehicle body condition data and vehicle body driving data in the vehicle driving process are acquired in real time through vehicle-mounted equipment, and are uploaded to a data platform for storage, so that the vehicle body condition data and the vehicle body driving data can be called and used in time in the follow-up process when the vehicle body condition data and the vehicle body driving data are needed.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
FIG. 1 is a flow diagram illustrating a method for recording driving behavior in accordance with one embodiment;
FIG. 2 is a schematic configuration diagram of an in-vehicle apparatus according to an embodiment;
fig. 3 is a block diagram showing the configuration of the in-vehicle device in one embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, fig. 1 is a schematic flow chart of a driving behavior recording method in an embodiment, where the driving behavior recording method in this embodiment is applied to a vehicle-mounted device, specifically a vehicle-mounted T-BOX (Telematics BOX), and the steps provided by the driving behavior recorder in this embodiment include:
and 102, when the starting of the target vehicle is detected, acquiring the vehicle body condition data of the target vehicle and the vehicle body driving data of the target vehicle.
The vehicle body condition data is data reflecting whether the vehicle is in an abnormal driving condition or not, and comprises data reflecting whether the vehicle is in a rapid speed change state or not, whether a collision exists or not, whether a rollover exists or not and the like. The vehicle body driving data is data reflecting current driving parameters of the vehicle, and comprises data of driving parameters such as rotating speed, vehicle speed, driving time and the like. The vehicle-mounted equipment comprises a first detection component and a second detection component, the first detection component is driven to detect vehicle body condition data, and the second detection component is driven to detect vehicle body driving data. Specifically, the first detection assembly is LSM6DS33, which is a sensor having a three-dimensional data accelerometer and a three-dimensional digital gyroscope. And the second detection component is a TJ1042CAN chip, and when the TJ1042CAN chip detects that the current vehicle speed is not 0, the vehicle body condition data and the vehicle body driving data are detected. In other implementation scenarios, the vehicle body condition data and the vehicle body driving data can also be acquired through one detection component. Further, the vehicle body condition data and the vehicle body driving data may also be acquired by three or more detection assemblies.
In a particular embodiment, the detection of the jerk data is performed by a first detection component. Specifically, first, periodic sampling is performed within a first preset time period according to a preset period, and a plurality of first accelerations of the target vehicle are obtained. Illustratively, the first preset duration is set to 250ms, and the preset period is set to 50ms, reading the first acceleration a detected by the LSM6DS33 every 50ms in a first preset time period, and obtaining 5 first accelerations a (for example, a)1、a2、a3、a4、a5). Then, calculating the average value of a plurality of first accelerations within a first preset time length to obtain the average acceleration of the first preset time length
Namely, it is
Further, a total duration comprising a plurality of first preset durations is obtained, and an average acceleration of each first preset duration in the total duration is obtained. For example, when the total set time period is 3s, the average acceleration of 12 first preset time periods (i.e. 12 first preset time periods) is obtained
). And when the average acceleration is larger than a first preset threshold value, determining that the average acceleration is the average acceleration of the suspected speed change, possibly causing the vehicle to be in a sudden speed change state. Therefore, further, to determine whether the target vehicle is in a state of rapid speed change for the total duration, when it is detected that there is an average acceleration greater than the first preset threshold, that is, when an average acceleration of the suspected speed change is detected, the number of average accelerations identified as suspected speed changes for the total duration is obtained and divided by the number of average accelerations for the first preset duration to obtain a ratio. When the ratio is greater than a second preset threshold, it may be determined that the target vehicle is in a rapid-change state. For example, the second preset threshold value is set to 3/4, and when the number of detected average accelerations of suspected speed changes is 10, the calculated ratio is 5/6, and it is determined that the target vehicle is in a rapid speed change state because it is greater than the second preset threshold value 3/4. And when the number of the average accelerations at which the suspected speed change is detected is 6, the calculated ratio is 1/2, and the target vehicle is determined not to be in the rapid speed change state because it is smaller than the second preset threshold 3/4. Finally aim at eyesAnd recording the rapid speed change data when the target vehicle is in the rapid speed change state. Wherein the jerk data includes: the magnitude of each average acceleration, the magnitude of the ratio, and the like.
In a particular embodiment, the detection of the jerk category is performed by a first detection component. The rapid speed change category specifically includes rapid acceleration, rapid deceleration, and rapid turning. The acceleration direction of the average acceleration is firstly obtained, and the acceleration direction corresponding to the rapid acceleration is set as a first direction (positive direction), the acceleration direction corresponding to the rapid deceleration is set as a second direction (reverse direction), and the first acceleration direction is opposite to the second acceleration direction. The acceleration direction corresponding to the sharp turn is a third direction (transverse direction) which is respectively perpendicular to the first acceleration direction and the second acceleration direction. Further, the acceleration direction of the average acceleration is divided into the first direction, the second direction, and the third direction, and then the rapid acceleration, the rapid deceleration, and the rapid turning are determined. The specific determination step is similar to the determination of the rapid speed change state, and is not described herein again.
The TBOX is fixedly arranged on a target vehicle, and when the vehicle is in a static state, the LSM6DS3 is acted by gravity vertically downwards. When the vehicle is in the driving process, the LSM6DS3 can calculate the current posture of the chip by taking the direction of the gravity acceleration as a reference, so as to judge whether the target vehicle is collided or overturned currently. When the vehicle collides in the running process, the direction of the gravity value can be changed, the gravity value can fluctuate greatly, and the vehicle is judged to collide by judging whether the fluctuation range of the gravity value exceeds the peak value. In a specific embodiment, when the gravity value direction is changed, the current gravity value of the target vehicle is first obtained, and when the current gravity value is greater than the collision peak value, the target vehicle is suspected to be collided. Further, a suspected collision time length that the current gravity value is greater than the collision peak value within a second preset time length is obtained, when the ratio of the suspected collision time length to the second preset time length is greater than a collision ratio threshold (for example, set to 1/2), it is determined that the target vehicle has collision operation, and vehicle body collision data of the target vehicle within the second preset time length is recorded. The vehicle body collision data comprise vehicle body collision duration, gravity value direction and other data.
In one embodiment, the detection of the body rollover data is performed by a first detection assembly. When the vehicle rolls over, the direction of the gravity acceleration detected by the LSM6DS3 is different from the direction of the gravity acceleration in the static state of the vehicle, and if the direction of the gravity acceleration is not recovered to the reference value in the static state, the vehicle is judged to roll over. Specifically, a gravity value threshold of the target vehicle is obtained, when it is detected that the current gravity value is not within the gravity value range of the gravity value threshold within a third preset time (for example, 30s), it is determined that the target vehicle has a rollover operation, and vehicle body rollover data of the target vehicle within the third preset time is recorded. The vehicle body rollover data comprises vehicle body rollover duration and other data.
In one embodiment, the detection of the warm-up time and the idle-time is performed by the second detection assembly. Specifically, the rotation speed data and the vehicle speed data of the target vehicle are obtained, when the rotation speed data are smaller than a rotation speed threshold (for example, set to 800R/min) and the vehicle speed data are smaller than a vehicle speed threshold (for example, set to 2km/h), the target vehicle is determined to be in an idle state, timing is started by a TJ1042CAN chip at the moment, timing is stopped when the TJ1042CAN chip detects that the target vehicle is not in the idle state, and a time length between the start of timing and the stop of timing is recorded as a first time length. Further, the first time length when the target vehicle is in the idle state for the first time is taken as the hot vehicle time length of the target vehicle, and the sum of all the first time lengths detected by the TJ1042CAN chip in the driving process is taken as the idle time length of the target vehicle.
In one embodiment, the detection of the number of speeding and the length of fatigue driving is performed by the second detection component. Specifically, the overspeed threshold is first obtained, which may be a current overspeed threshold of the current road segment obtained by navigation software, or a preset overspeed threshold of the vehicle. Further, real-time vehicle speed data of the vehicle is obtained through the TJ1042CAN chip, when the vehicle speed data is larger than or equal to the overspeed threshold value, the target vehicle is judged to have overspeed once, and the number of times of overspeed in the driving process is counted to obtain the number of times of overspeed. For detecting the fatigue driving time, a driving time threshold (the driving time threshold for fatigue driving is set to be 4 hours according to the road traffic safety law) is firstly obtained. Further, the real-time driving time length of the target vehicle is obtained, the difference value between the real-time driving time length of the target vehicle and the driving time length threshold is calculated, and finally the fatigue driving time length is obtained. For example, when the real-time driving period is 6 hours, the calculated fatigue driving period is 2 hours. And when the real-time driving time period is 2 hours, since the driving time period is less than the driving time period threshold value, it is determined that there is no fatigue driving.
And 104, uploading the vehicle body condition data and the vehicle body driving data to a data platform for storage when the target vehicle is detected to be flameout.
The vehicle body condition data and the vehicle body driving data form the driving behavior data of the vehicle, are important data reflecting whether the vehicle is normal or not in the driving process, and can be used for subsequent accident analysis and periodic inspection and maintenance analysis. After the vehicle body condition data and the vehicle body driving data are uploaded to the data platform, a driver can also inquire in real time through the mobile intelligent terminal, so that the driver can conveniently master the vehicle body condition, the vehicle maintenance can be conveniently and timely carried out, and the vehicle safety is guaranteed.
According to the driving behavior recording method, the vehicle body condition data and the vehicle body driving data in the vehicle driving process are obtained in real time through the vehicle-mounted equipment, and are uploaded to the data platform for storage, so that the vehicle body condition data and the vehicle body driving data can be called and used in time in the follow-up process when the vehicle body condition data and the vehicle body driving data need to be used.
In one embodiment, as shown in fig. 2, there is provided an in-vehicle apparatus including:
the data acquisition module 202 is configured to acquire vehicle body condition data of the target vehicle and vehicle body driving data of the target vehicle when the target vehicle is detected to start.
And the data uploading module 204 is used for uploading the vehicle body condition data and the vehicle body driving data to the data platform for storage when the target vehicle is detected to be flameout.
According to the vehicle-mounted device, the vehicle body condition data and the vehicle body driving data in the vehicle driving process are acquired in real time through the vehicle-mounted equipment, and are uploaded to the data platform for storage, so that the vehicle body condition data and the vehicle body driving data can be called and used in time in the follow-up process when the vehicle body condition data and the vehicle body driving data are needed.
In an embodiment, the data obtaining module 202 is further specifically configured to: sampling within a first preset time according to a preset period to obtain a plurality of first accelerations of the target vehicle; calculating the average value of the plurality of first accelerations to obtain the average acceleration of a first preset duration; acquiring a total duration comprising a plurality of first preset durations, and acquiring an average acceleration of each first preset duration in the total duration; judging whether average acceleration greater than a first preset threshold exists in the total duration, and counting a first number of the average acceleration greater than the preset threshold if the average acceleration greater than the first preset threshold exists; judging whether the ratio of the first number to the total number of the first preset time in the total time length is greater than a second preset threshold value or not, and if the ratio of the first number to the total number of the first preset time length in the total time length is greater than the second preset threshold value, judging that the target vehicle is in an abrupt speed change state; and recording the rapid speed change data when the target vehicle is in the rapid speed change state.
In an embodiment, the data obtaining module 202 is further specifically configured to: acquiring the acceleration direction of each average acceleration, judging the rapid speed change type of a rapid speed change state corresponding to the acceleration direction according to the acceleration direction, and recording the rapid speed change type of the target vehicle in the rapid speed change state; the rapid speed change category includes rapid acceleration, rapid deceleration and rapid turning.
In an embodiment, the data obtaining module 202 is further specifically configured to: acquiring a current gravity value of a target vehicle; when the current gravity value is larger than the collision peak value, acquiring a suspected collision time length of the current gravity value which is larger than the collision peak value within a second preset time length; and when the ratio of the suspected collision time length to the second preset time length is larger than the collision ratio threshold value, judging that the target vehicle has collision operation, and recording vehicle body collision data of the target vehicle in the second preset time length.
In an embodiment, the data obtaining module 202 is further specifically configured to: acquiring a gravity value threshold of a target vehicle; and when the current gravity value is detected to be out of the gravity value range of the gravity value threshold within the third preset time length, judging that the target vehicle has rollover operation, and recording body rollover data of the target vehicle within the third preset time length.
In an embodiment, the data obtaining module 202 is further specifically configured to: acquiring rotating speed data and vehicle speed data of a target vehicle; when the rotating speed data are smaller than the rotating speed threshold value and the vehicle speed data are smaller than the vehicle speed threshold value, determining that the target vehicle is in an idle state, and acquiring at least one first time length of the target vehicle in the idle state; taking the first time length when the target vehicle is in the idle state for the first time as the hot vehicle length of the target vehicle; and counting the sum of the at least one first time period, and taking the sum as the idle time period of the target vehicle.
In an embodiment, the data obtaining module 202 is further specifically configured to: counting the overspeed times of the target vehicle according to the vehicle speed data; acquiring the driving time of a target vehicle; and acquiring a difference value between the driving time length and the driving time length threshold value, and taking the difference value as the fatigue driving time length of the target vehicle.
Fig. 3 shows an internal configuration diagram of the in-vehicle apparatus in one embodiment. As shown in fig. 3, the in-vehicle apparatus includes a processor, a memory, and a network interface connected by a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the in-vehicle apparatus stores an operating system and may further store a computer program that, when executed by the processor, causes the processor to implement the driving behavior recording method. The internal memory may also have a computer program stored therein, which when executed by the processor, causes the processor to perform a driving behavior recording method. Those skilled in the art will appreciate that the configuration shown in fig. 3 is a block diagram of only a portion of the configuration associated with the present application, and does not constitute a limitation on the onboard apparatus to which the present application is applied, and a particular onboard apparatus may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
An in-vehicle device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the following steps when executing the computer program: when the starting of the target vehicle is detected, acquiring vehicle body condition data of the target vehicle and vehicle body driving data of the target vehicle; and when the target vehicle is detected to be flameout, uploading the vehicle body condition data and the vehicle body driving data to a data platform for storage.
In one embodiment, acquiring body condition data of a target vehicle includes: sampling within a first preset time according to a preset period to obtain a plurality of first accelerations of the target vehicle; calculating the average value of the plurality of first accelerations to obtain the average acceleration of a first preset duration; acquiring a total duration comprising a plurality of first preset durations, and acquiring an average acceleration of each first preset duration in the total duration; judging whether average acceleration greater than a first preset threshold exists in the total duration, and counting a first number of the average acceleration greater than the preset threshold if the average acceleration greater than the first preset threshold exists; judging whether the ratio of the first number to the total number of the first preset time in the total time length is greater than a second preset threshold value or not, and if the ratio of the first number to the total number of the first preset time length in the total time length is greater than the second preset threshold value, judging that the target vehicle is in an abrupt speed change state; and recording the rapid speed change data when the target vehicle is in the rapid speed change state.
In one embodiment, after determining that the target vehicle is in the rapid-change state, the method further includes: acquiring the acceleration direction of each average acceleration, judging the rapid speed change type of a rapid speed change state corresponding to the acceleration direction according to the acceleration direction, and recording the rapid speed change type of the target vehicle in the rapid speed change state; the rapid speed change category includes rapid acceleration, rapid deceleration and rapid turning.
In one embodiment, acquiring body condition data of a target vehicle includes: acquiring a current gravity value of a target vehicle; when the current gravity value is larger than the collision peak value, acquiring a suspected collision time length of the current gravity value which is larger than the collision peak value within a second preset time length; and when the ratio of the suspected collision time length to the second preset time length is larger than the collision ratio threshold value, judging that the target vehicle has collision operation, and recording vehicle body collision data of the target vehicle in the second preset time length.
In one embodiment, after obtaining the current gravity value of the target vehicle, the method further includes: acquiring a gravity value threshold of a target vehicle; and when the current gravity value is detected to be out of the gravity value range of the gravity value threshold within the third preset time length, judging that the target vehicle has rollover operation, and recording body rollover data of the target vehicle within the third preset time length.
In one embodiment, obtaining body driving data of a target vehicle comprises: acquiring rotating speed data and vehicle speed data of a target vehicle; when the rotating speed data are smaller than the rotating speed threshold value and the vehicle speed data are smaller than the vehicle speed threshold value, determining that the target vehicle is in an idle state, and acquiring at least one first time length of the target vehicle in the idle state; taking the first time length when the target vehicle is in the idle state for the first time as the hot vehicle length of the target vehicle; and counting the sum of the at least one first time period, and taking the sum as the idle time period of the target vehicle.
In one embodiment, after obtaining the rotation speed data and the vehicle speed data of the target vehicle, the method further comprises: counting the overspeed times of the target vehicle according to the vehicle speed data; acquiring the driving time of a target vehicle; and acquiring a difference value between the driving time length and the driving time length threshold value, and taking the difference value as the fatigue driving time length of the target vehicle.
A computer-readable storage medium storing a computer program which, when executed by a processor, performs the steps of: when the starting of the target vehicle is detected, acquiring vehicle body condition data of the target vehicle and vehicle body driving data of the target vehicle; and when the target vehicle is detected to be flameout, uploading the vehicle body condition data and the vehicle body driving data to a data platform for storage.
In one embodiment, acquiring body condition data of a target vehicle includes: sampling within a first preset time according to a preset period to obtain a plurality of first accelerations of the target vehicle; calculating the average value of the plurality of first accelerations to obtain the average acceleration of a first preset duration; acquiring a total duration comprising a plurality of first preset durations, and acquiring an average acceleration of each first preset duration in the total duration; judging whether average acceleration greater than a first preset threshold exists in the total duration, and counting a first number of the average acceleration greater than the preset threshold if the average acceleration greater than the first preset threshold exists; judging whether the ratio of the first number to the total number of the first preset time in the total time length is greater than a second preset threshold value or not, and if the ratio of the first number to the total number of the first preset time length in the total time length is greater than the second preset threshold value, judging that the target vehicle is in an abrupt speed change state; and recording the rapid speed change data when the target vehicle is in the rapid speed change state.
In one embodiment, after determining that the target vehicle is in the rapid-change state, the method further includes: acquiring the acceleration direction of each average acceleration, judging the rapid speed change type of the rapid speed change type corresponding to the acceleration direction according to the acceleration direction, and recording the rapid speed change type of the target vehicle in the rapid speed change state; the rapid speed change category includes rapid acceleration, rapid deceleration and rapid turning.
In one embodiment, acquiring body condition data of a target vehicle includes: acquiring a current gravity value of a target vehicle; when the current gravity value is larger than the collision peak value, acquiring a suspected collision time length of the current gravity value which is larger than the collision peak value within a second preset time length; and when the ratio of the suspected collision time length to the second preset time length is larger than the collision ratio threshold value, judging that the target vehicle has collision operation, and recording vehicle body collision data of the target vehicle in the second preset time length.
In one embodiment, after obtaining the current gravity value of the target vehicle, the method further includes: acquiring a gravity value threshold of a target vehicle; and when the current gravity value is detected to be out of the gravity value range of the gravity value threshold within the third preset time length, judging that the target vehicle has rollover operation, and recording body rollover data of the target vehicle within the third preset time length.
In one embodiment, obtaining body driving data of a target vehicle comprises: acquiring rotating speed data and vehicle speed data of a target vehicle; when the rotating speed data are smaller than the rotating speed threshold value and the vehicle speed data are smaller than the vehicle speed threshold value, determining that the target vehicle is in an idle state, and acquiring at least one first time length of the target vehicle in the idle state; taking the first time length when the target vehicle is in the idle state for the first time as the hot vehicle length of the target vehicle; and counting the sum of the at least one first time period, and taking the sum as the idle time period of the target vehicle.
In one embodiment, after obtaining the rotation speed data and the vehicle speed data of the target vehicle, the method further comprises: counting the overspeed times of the target vehicle according to the vehicle speed data; acquiring the driving time of a target vehicle; and acquiring a difference value between the driving time length and the driving time length threshold value, and taking the difference value as the fatigue driving time length of the target vehicle.
It should be noted that the driving behavior recording method, the driving behavior recording apparatus, the driving behavior recording device and the computer readable storage medium belong to a general inventive concept, and the contents in the embodiments of the driving behavior recording method, the driving behavior recording apparatus, the driving behavior recording device and the computer readable storage medium are mutually applicable.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of driving behavior recording, the method comprising:
when the starting of a target vehicle is detected, acquiring vehicle body condition data of the target vehicle and vehicle body driving data of the target vehicle;
and when the target vehicle is detected to be flameout, uploading the vehicle body condition data and the vehicle body driving data to a data platform for storage.
2. The method of claim 1, wherein said obtaining body condition data of the target vehicle comprises:
sampling within a first preset time length according to a preset period to obtain a plurality of first accelerations of the target vehicle;
calculating the average value of the plurality of first accelerations to obtain the average acceleration of the first preset duration;
acquiring a total duration comprising a plurality of first preset durations, and acquiring the average acceleration of each first preset duration in the total duration;
judging whether the average acceleration greater than a first preset threshold exists in the total duration, and counting a first number of the average accelerations greater than the preset threshold if the average acceleration greater than the first preset threshold exists;
judging whether the ratio of the first number to the total number of the first preset time in the total time length is greater than a second preset threshold value or not, and if the ratio of the first number to the total number of the first preset time length in the total time length is greater than the second preset threshold value, judging that the target vehicle is in a rapid speed change state;
and recording the rapid speed change data when the target vehicle is in the rapid speed change state.
3. The method according to claim 2, further comprising, after the determining that the target vehicle is in a rapid-change state:
acquiring the acceleration direction of each average acceleration, judging the rapid speed change type of the rapid speed change state corresponding to the acceleration direction according to the acceleration direction, and recording the rapid speed change type of the target vehicle in the rapid speed change state; wherein the abrupt speed change category comprises abrupt acceleration, abrupt deceleration and abrupt turning.
4. The method of claim 1, wherein said obtaining body condition data of the target vehicle comprises:
acquiring a current gravity value of the target vehicle;
when the current gravity value is larger than the collision peak value, acquiring a suspected collision time length of the current gravity value, which is larger than the collision peak value within a second preset time length;
and when the ratio of the suspected collision time length to the second preset time length is larger than a collision ratio threshold value, judging that the target vehicle has collision operation, and recording vehicle body collision data of the target vehicle in the second preset time length.
5. The method of claim 4, further comprising, after said obtaining the current gravity value of the target vehicle:
acquiring a gravity value threshold of the target vehicle;
when the current gravity value is detected to be out of the gravity value range of the gravity value threshold within a third preset time length, judging that the target vehicle has rollover operation, and recording body rollover data of the target vehicle within the third preset time length.
6. The method of claim 1, wherein the obtaining body drive data of the target vehicle comprises:
acquiring rotating speed data and vehicle speed data of the target vehicle;
when the rotating speed data is smaller than a rotating speed threshold value and the vehicle speed data is smaller than a vehicle speed threshold value, determining that the target vehicle is in an idle state, and acquiring at least one first time length of the target vehicle in the idle state;
taking a first time length when the target vehicle is in the idle state for the first time as a hot vehicle time length of the target vehicle;
and counting the sum of the at least one first time length, and taking the sum as the idle time length of the target vehicle.
7. The method of claim 6, further comprising, after said obtaining rotational speed data and vehicle speed data of the target vehicle:
counting the overspeed times of the target vehicle according to the vehicle speed data;
acquiring the driving time of the target vehicle;
and acquiring a difference value between the driving time length and a driving time length threshold value, and taking the difference value as the fatigue driving time length of the target vehicle.
8. An in-vehicle apparatus, characterized in that the apparatus comprises:
the data acquisition module is used for acquiring vehicle body condition data of a target vehicle and vehicle body driving data of the target vehicle when the starting of the target vehicle is detected;
and the data uploading module is used for uploading the vehicle body condition data and the vehicle body driving data to a data platform for storage when the target vehicle is detected to be flameout.
9. A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 7.
10. An in-vehicle apparatus comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 7.
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Application publication date: 20201218 |