CN111597507A

CN111597507A - Event data recording method, device, equipment and storage medium

Info

Publication number: CN111597507A
Application number: CN202010244266.6A
Authority: CN
Inventors: 黄辰羽; 王维龙; 宰永晨
Original assignee: Zhejiang Geely Holding Group Co Ltd; Zhejiang Geely Automobile Research Institute Co Ltd
Current assignee: Zhejiang Geely Holding Group Co Ltd; Zhejiang Geely Automobile Research Institute Co Ltd
Priority date: 2020-03-31
Filing date: 2020-03-31
Publication date: 2020-08-28
Anticipated expiration: 2040-03-31

Abstract

The application discloses an event data recording method, an event data recording device and a storage medium, wherein the method comprises the steps of starting to record first risk event data of a target vehicle when a risk identification result shows that a risk exists, and acquiring vehicle-mounted recording data of the target vehicle, which is recorded by vehicle-mounted equipment of the target vehicle; acquiring locally recorded operation data of the target vehicle and second risk event data; carrying out accuracy test to obtain an accuracy test result; preprocessing the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle based on an accuracy test result to obtain data to be fused; and performing data fusion on the data to be fused to obtain a target event fusion data packet. By the technical scheme, various event data can be integrated and stored, the accuracy of event data recording is improved, and the reliability and the safety of the event data are improved.

Description

Event data recording method, device, equipment and storage medium

Technical Field

The invention relates to the technical field of vehicle networking, in particular to an event data recording method, device, equipment and storage medium.

Background

Along with the rapid development of the automobile industry and the great increase of automobile keeping quantity, personal injuries and deaths and property losses caused by traffic accidents are also greatly increased every year. In order to realize playback during the driving process and improve the traceability of traffic accidents for analysis, so that not only the cause of the accidents is easy to confirm, but also experience can be drawn from the accidents for the application of the following safety design, in recent years, newly produced automobiles are equipped with an EDR (Event Data Recorder Event Data recording system). China also promulgated a national standard draft in recent years, requiring vehicles to be loaded with an accident data recorder (EDR) that meets the national standard after 1 month and 1 day 2021. The current EDR data recording system is mainly vehicle-mounted, can only collect and record information of relevant accidents through a sensor of a vehicle, is limited in collected data and small in storage amount, and easily increases the probability of damage of vehicle-mounted EDR when secondary accidents occur, and data does not have extra backup. And the vehicle-mounted EDR data processing capability is low due to the limitation of the hardware of the device. And when the on-board EDR is destroyed or malfunctions, it is difficult to obtain accident-related data. Therefore, there is a need to provide a more efficient solution.

Disclosure of Invention

In order to solve the problems of the prior art, the invention provides an event data recording method, an event data recording device, a computer device and a storage medium. The technical scheme is as follows:

one aspect of the present application provides an event data recording method, including:

when the risk probability of a target vehicle is detected, carrying out risk identification on the target vehicle;

when the risk identification result indicates that the risk exists, starting to record first risk event data of the target vehicle, and acquiring vehicle-mounted record data of the target vehicle, which is recorded by vehicle-mounted equipment of the target vehicle;

acquiring locally recorded operation data of the target vehicle and acquiring second risk event data recorded after the risk identification result of the vehicle-mounted equipment of the target vehicle is that a risk exists;

carrying out accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle to obtain an accuracy test result;

preprocessing the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle based on the accuracy test result to obtain data to be fused;

and performing data fusion on the data to be fused to obtain a target event fusion data packet.

Another aspect of the present application provides an event data recording apparatus, including:

the risk probability detection module is used for carrying out risk identification on the target vehicle when the risk probability of the target vehicle is detected;

the risk identification acquisition module is used for starting to record first risk event data of the target vehicle and acquiring vehicle-mounted record data of the target vehicle, which is recorded by first vehicle-mounted equipment, when the risk identification result indicates that a risk exists;

the data acquisition module is used for acquiring locally recorded operation data of the target vehicle and acquiring second risk event data recorded after the risk identification result of the vehicle-mounted equipment of the target vehicle is that a risk exists;

the accuracy testing module is used for carrying out accuracy testing on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle to obtain an accuracy testing result;

the data preprocessing module is used for preprocessing the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle based on the accuracy test result to obtain data to be fused;

and the data fusion module is used for carrying out data fusion on the data to be fused to obtain a target event fusion data packet.

Another aspect of the present application provides an apparatus comprising a processor and a memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions that is loaded and executed by the processor to implement the event data recording method.

Another aspect of the present application provides a computer readable storage medium having stored therein at least one instruction, at least one program, set of codes, or set of instructions that is loaded and executed by a processor to implement the event data recording method.

The event data recording method, the event data recording device, the event data recording equipment and the event data recording storage medium have the following technical effects:

according to the method, when the risk probability of the target vehicle is detected, risk identification is carried out on the target vehicle; when the risk identification result indicates that the risk exists, starting to record first risk event data of the target vehicle, and acquiring vehicle-mounted record data of the target vehicle, which is recorded by vehicle-mounted equipment of the target vehicle; acquiring locally recorded operation data of the target vehicle and acquiring second risk event data recorded after the risk identification result of the vehicle-mounted equipment of the target vehicle is that a risk exists; carrying out accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle to obtain an accuracy test result; preprocessing the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle based on the accuracy test result to obtain data to be fused; and performing data fusion on the data to be fused to obtain a target event fusion data packet. According to the technical scheme, a large amount of information of the vehicle-mounted equipment can be received in a short time when an event occurs, and meanwhile, the monitoring and recording equipment can record a large amount of accident data information. The monitoring and recording equipment integrates and stores a plurality of accident related data through data fusion, can improve data processing capacity and realize data backup, and is high in data accuracy and reliability. Reliability and safety of the event data are improved through accuracy testing.

Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.

Drawings

In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or 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 application, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a schematic diagram of an application environment provided by an embodiment of the present application;

fig. 2 is a flowchart of an event data recording method according to an embodiment of the present application;

fig. 3 is a flowchart illustrating that the monitoring and recording device provided in the embodiment of the present application performs an accuracy test on the first risk event data, the vehicle-mounted recording data of the target vehicle, the second risk event data, and the operation data of the target vehicle to obtain an accuracy test result;

FIG. 4 is a flow chart of another event data recording method provided by the embodiment of the application;

FIG. 5 is a schematic diagram of an event data recording device according to an embodiment of the present application;

fig. 6 is a block diagram of a hardware structure of a server for event data recording according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application. Examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Referring to fig. 1, fig. 1 is a schematic view of an application environment according to an embodiment of the present disclosure, and as shown in fig. 1, the application environment may include a monitoring and recording device 100, an in-vehicle device 200, and a cloud server 300.

In this embodiment of the present disclosure, the monitoring and recording device 100 may also be configured to perform risk probability detection and risk identification on a target vehicle, and when a risk identification result indicates that there is a risk, start to record first risk event data of the target vehicle, and acquire vehicle-mounted record data of the target vehicle, which is recorded by the vehicle-mounted device 200 of the target vehicle; acquiring locally recorded operation data of the target vehicle and acquiring second risk event data recorded after the risk identification result of the vehicle-mounted equipment 200 of the target vehicle is that a risk exists; carrying out accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle to obtain an accuracy test result; preprocessing the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle based on the accuracy test result to obtain data to be fused; and performing data fusion on the data to be fused to obtain a target event fusion data packet, and sending the target event fusion data packet to the cloud server 300. Specifically, the monitoring and recording device 100 may include a processor 101 and a memory 102, the memory 102 may be configured to store first risk event data of the target vehicle, operation data of the target vehicle, and the first risk event data of the target vehicle received from the vehicle-mounted device 200, vehicle-mounted recording data of the target vehicle recorded by the vehicle-mounted device 200 of the target vehicle, and the like, recorded by the monitoring and recording device 100, and the processor 101 may be configured to execute a risk identification instruction, an event recording instruction, and the like. Specifically, the monitoring and recording device 100 may also control an entity device having a video capture function and the like, and acquire captured data from the entity device; in particular embodiments, the monitoring recording device 100 may include, but is not limited to, a base station EDR (Event data recorder Event data recording system) system.

In this embodiment of the present disclosure, the vehicle-mounted device 200 may be configured to perform risk probability detection and risk identification on a target vehicle, and continuously record vehicle-mounted record data of the target vehicle before an event occurs; and when the risk is confirmed, sending the recorded vehicle-mounted record data of the target vehicle to the monitoring and recording device 100, and starting to record second risk event data and sending the second risk event data to the monitoring and recording device 100. Specifically, the vehicle-mounted device 200 may include a processor 201 and a memory 202, the memory 202 may be configured to store vehicle-mounted record data and second risk event data of the target vehicle recorded by the vehicle-mounted device 200, and the processor 201 may be configured to execute a risk identification instruction and an event record instruction, and the like. Specifically, the in-vehicle device 200 may further include an entity device having a function of video capture or the like; the in-vehicle apparatus 200 may further include one or more sensors, such as a light sensor, a motion sensor, and other sensors, which can be used to acquire a vehicle speed, an acceleration, a deceleration, a belt state, and the like; the vehicle-mounted device 200 may further include other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described in detail herein. In a particular embodiment, the in-vehicle device 200 may include, but is not limited to, an in-vehicle EDR (Event DataRecorder Event data logging System) system.

In the embodiment of the present invention, the cloud server 300 may include a server running independently, or a distributed server, or a server cluster composed of a plurality of servers. The cloud server 300 may include a network communication unit, a processor, a memory, and the like. Specifically, the cloud server 300 may be configured to receive, store, and the like an operation that the monitoring and recording device 100 sends a target event fusion data packet.

Referring to fig. 1, in practical applications, a monitoring and recording device 100 may continuously record operation data of a target vehicle, an on-board device 200 may continuously record on-board record data of the target vehicle, a risk probability detection may be performed on the target vehicle by the monitoring and recording device 100 and/or the on-board device 200, when a risk probability of the target vehicle is detected, a risk identification is performed on the target vehicle, when a risk identification result indicates that a risk exists, the monitoring and recording device 100 starts to record first risk event data of the target vehicle, and the on-board device 200 starts to record second risk event data of the target vehicle, and the on-board record data and the second risk event data of the target vehicle recorded by the on-board device 200 are sent to the monitoring and recording device 100. The monitoring and recording equipment 100 carries out accuracy test on the first risk event data, the vehicle-mounted recording data of the target vehicle, the second risk event data and the operation data of the target vehicle to obtain an accuracy test result; the monitoring and recording device 100 preprocesses the first risk event data, the vehicle-mounted recording data of the target vehicle, the second risk event data and the operation data of the target vehicle based on the accuracy test result to obtain data to be fused; the monitoring and recording device 100 performs data fusion on the data to be fused to obtain a target event fusion data packet. The monitoring and recording device 100 sends the target event fusion data packet to the cloud server 300.

In addition, it should be noted that fig. 1 is only an example of an application environment provided by the embodiment of the present application, and the present invention is not limited thereto.

Fig. 2 is a flowchart of an event data recording method according to an embodiment of the present application, and referring to fig. 2, the event data recording method according to the embodiment of the present application includes the following steps:

s201: and the monitoring and recording equipment carries out risk probability detection, and carries out risk identification on the target vehicle when the monitoring and recording equipment detects that the target vehicle has risk probability.

Specifically, the performing, by the monitoring and recording device, the risk probability detection may include:

and the monitoring recording equipment detects the risk probability based on the state data of the target vehicle.

Specifically, the monitoring recording device may include, but is not limited to, a base station EDR (Event Data Recorder Event Data recording system) system, which may acquire status Data of a target vehicle based on one or more sensors and video image capturing devices (e.g., a camera and a velometer) and may be capable of capturing video Data in practical applications.

Specifically, the state data of the target vehicle is data for characterizing a driving state of the target vehicle and a relationship state of the target vehicle and surrounding vehicles, and specifically, the state data of the target vehicle may include, but is not limited to: the lateral velocity of the target vehicle, the longitudinal velocity of the target vehicle, the lateral acceleration of the target vehicle, the longitudinal acceleration of the target vehicle, the velocity and acceleration of the vehicle whose distance from the target vehicle is within a first preset threshold range, the distance between the target vehicle and the surrounding vehicles, and the like.

In practical application, when one or more of the state data of the target vehicle exceeds a second preset threshold range, determining that the target vehicle has the risk probability. For example, when the lateral speed of the target vehicle exceeds a preset threshold, it is determined that the target vehicle has a risk probability.

Specifically, the first preset threshold range and the second preset threshold range may be set according to actual application requirements, or set according to vehicle test results.

In practical applications, the method further comprises:

and carrying out risk probability detection on the vehicle-mounted equipment of the target vehicle, and when the vehicle-mounted equipment of the target vehicle detects that the risk probability exists in the target vehicle, carrying out risk identification on the target vehicle by the vehicle-mounted equipment of the target vehicle and sending a risk identification command to the monitoring and recording equipment.

In practical application, when the vehicle-mounted device of the target vehicle detects that the target vehicle has risk probability before the monitoring recording device, the vehicle-mounted device of the target vehicle performs risk identification on the target vehicle and sends a first risk identification instruction to the monitoring recording device, and the monitoring recording device performs risk probability detection based on the first risk identification instruction;

when the monitoring recording device detects that the target vehicle has the risk probability before the vehicle-mounted device of the target vehicle, the monitoring recording device performs risk identification on the target vehicle and sends a second risk identification instruction to the vehicle-mounted device of the target vehicle, and the vehicle-mounted device of the target vehicle performs risk probability detection based on the second risk identification instruction.

The risk probability detection is carried out on the target vehicle through the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle, when any one of the vehicle-mounted equipment and the monitoring recording equipment detects that the risk probability exists, a risk identification instruction is sent to the other equipment, the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle carry out risk identification, the accuracy of the risk probability detection can be improved, event related data are recorded more timely, and the obtained event related data are more accurate.

In practical application, the vehicle-mounted device of the target vehicle is started when the vehicle is started and cannot be closed by the one-button, and the monitoring and recording device performs starting state check to ensure that the monitoring and recording device is not closed. By checking the opening state of the monitoring and recording equipment, the monitoring and recording equipment is ensured not to be closed, and the reliability of event data recording can be ensured. When the Vehicle is running, the Vehicle is firstly paired with an adjacent roadside base station through a 5G/LTE-V2X (Vehicle to electric wireless communication technology) technology. While the target vehicle is moving, the on-board device of the target vehicle may continue to maintain a pairing relationship with one or more base stations in close proximity to the roadside.

In the embodiment of the present specification, the on-board device of the target vehicle and the monitoring and recording device can always collect the state data of the target vehicle based on the sensing device (e.g., sensor), and store the state data of the target vehicle in a temporary, volatile storage medium, in which the state data of the target vehicle recorded by the on-board device of the target vehicle and the state data of the target vehicle recorded by the monitoring and recording device are continuously updated at regular time intervals.

S202: and the monitoring and recording equipment carries out risk identification, and when the risk identification result indicates that a risk exists, the monitoring and recording equipment starts to record first risk event data of the target vehicle and acquires vehicle-mounted record data of the target vehicle, which is recorded by vehicle-mounted equipment of the target vehicle.

Specifically, the risk identification performed by the monitoring and recording device may include:

and the monitoring recording equipment identifies risks based on the state data of the target vehicle.

In practical applications, when one or more of the state data of the target vehicle exceeds a third preset threshold range, determining that a risk exists as a result of risk identification. For example, when the distance between the target vehicle and any one of the surrounding vehicles is less than a preset threshold, it is determined that the risk is present as a result of the risk identification, that is, it is confirmed that an event occurs.

Specifically, the third preset threshold range may be set according to actual application requirements, or set according to a vehicle test result.

S203: and the monitoring and recording equipment acquires locally recorded operation data of the target vehicle and acquires second risk event data recorded after the risk identification result of the vehicle-mounted equipment of the target vehicle is that a risk exists.

In practical applications, the method further comprises:

and the vehicle-mounted equipment of the target vehicle carries out risk identification, and when the risk identification result shows that a risk exists, the vehicle-mounted equipment of the target vehicle sends an event recording instruction to the monitoring recording equipment, the vehicle-mounted equipment of the target vehicle starts to record second risk event data, and sends the vehicle-mounted recording data of the target vehicle, recorded by the vehicle-mounted equipment of the target vehicle, to the monitoring recording equipment.

In practical application, when the vehicle-mounted device of the target vehicle recognizes that the target vehicle has a risk before the monitoring and recording device, the vehicle-mounted device of the target vehicle sends a first event recording instruction to the monitoring and recording device, the vehicle-mounted device of the target vehicle starts to record second risk event data, and sends the vehicle-mounted recording data of the target vehicle, which is recorded by the vehicle-mounted device of the target vehicle, to the monitoring and recording device, and the monitoring and recording device starts to record first risk event data based on the first event recording instruction;

when the monitoring and recording device identifies that the target vehicle has risks before the vehicle-mounted device of the target vehicle, the monitoring and recording device sends a second event recording instruction to the vehicle-mounted device of the target vehicle, the monitoring and recording device starts to record first risk event data of the target vehicle, the vehicle-mounted device of the target vehicle acquires the vehicle-mounted recording data of the target vehicle, and the vehicle-mounted device of the target vehicle starts to record second risk event data based on the second event recording instruction.

Specifically, the vehicle-mounted record data of the target vehicle recorded by the vehicle-mounted device of the target vehicle includes state data of the target vehicle recorded by the vehicle-mounted device of the target vehicle within a first preset time before the risk is identified (i.e. state data of the target vehicle recorded by the vehicle-mounted device of the target vehicle within the first preset time before the confirmation event occurs), and specifically, the state data of the target vehicle within the first preset time before the risk is identified may include, but is not limited to: lateral/longitudinal speed/acceleration/maximum acceleration of the target vehicle, ignition cycle, seat belt state, accelerator pedal opening and airbag detonation time.

Specifically, the locally recorded operation data of the target vehicle includes status data of the target vehicle recorded by the monitoring and recording device within a second preset time before the risk identification is determined to be present (i.e., status data of the target vehicle recorded by the monitoring and recording device within a second preset time before the confirmation event occurs), and specifically, the locally recorded operation data of the target vehicle may include but is not limited to: lateral/longitudinal speed/acceleration/maximum acceleration of the target vehicle and nearby vehicles, road conditions, weather conditions, and traffic conditions.

Specifically, the first preset time and the second preset time may be set according to actual application requirements.

Specifically, the first risk event data of the target vehicle recorded by the monitoring and recording device includes vehicle-related data that is recorded after it is determined that the target vehicle is at risk, and includes data from the beginning of an event to a third preset time after the event is ended, where the third preset time may be set according to actual application needs, and in one embodiment, the third preset time may include, for example, 30 minutes. By recording the data from the beginning of the event until the third preset time after the event is finished, the integrity of the event data can be improved, and the reliability of the event data can be improved. Specifically, the first risk event data for the target vehicle may include, but is not limited to: the speed and the vertical and horizontal deceleration of the target vehicle and the nearby vehicles, the road surface condition, the traffic condition, the existence of the interlinked accident and the recording of the accident area within a certain time after the accident.

Specifically, the second risk event data of the target vehicle recorded by the vehicle-mounted device of the target vehicle is vehicle-related data that is recorded after it is determined that the target vehicle is at risk, and includes data from the beginning of the event occurrence to a fourth preset time after the event is ended, where the fourth preset time may be set according to actual application needs, and in one embodiment, the fourth preset time may include, for example, 30 minutes. By recording the data from the beginning of the event until the fourth preset time after the event is finished, the integrity of the event data can be improved, and the reliability of the event data can be improved. Specifically, the first risk event data for the target vehicle may include, but is not limited to: the deceleration in the longitudinal and transverse directions of the target vehicle, the maximum deceleration, the airbag opening time and the video data of the vehicle-mounted device after the target vehicle finishes the event.

Risk identification is carried out on the target vehicle through the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle, when the risk exists in any identification, namely, when the accident occurrence is confirmed, an event recording instruction is sent to the other equipment, the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle start to carry out risk event data recording, the accuracy of risk identification can be improved, the occurrence of the event can be confirmed more timely, the obtained event process data are more accurate and complete, and the reliability of event data recording is improved.

S204: and the monitoring and recording equipment carries out accuracy test on the first risk event data, the vehicle-mounted recording data of the target vehicle, the second risk event data and the operation data of the target vehicle to obtain an accuracy test result.

Specifically, as shown in fig. 3, the performing, by the monitoring and recording device, an accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, and the operation data of the target vehicle, and obtaining an accuracy test result may include:

s301: and the monitoring recording equipment determines the homogeneous data pairs in the vehicle-mounted recording data of the target vehicle and the operation data of the target vehicle.

S302: and the monitoring recording equipment determines the same kind of data pairs in the first risk event data and the second risk event data.

Specifically, the homogeneous data pairs in the vehicle-mounted record data of the target vehicle and the operation data of the target vehicle and the homogeneous data pairs in the first risk event data and the second risk event data are the same type of data recorded by the vehicle-mounted device and the monitoring recording device of the target vehicle, and in practical application, the homogeneous data pairs in the vehicle-mounted record data of the target vehicle and the operation data of the target vehicle may include, for example, a vehicle speed recorded by the vehicle-mounted device of the target vehicle and a vehicle speed recorded by the monitoring recording device at the same time; the peer data pairs in the first risk event data and the second risk event data may include a maximum deceleration of the target vehicle recorded by the vehicle-mounted device of the target vehicle and a maximum deceleration of the target vehicle recorded by the monitor recording device.

S303: and comparing the same-class data pairs by the monitoring and recording equipment to obtain difference data among the same-class data pairs.

Specifically, the comparing, by the monitoring and recording device, the homogeneous data pairs to obtain difference data between the homogeneous data pairs may include: and taking the difference of the data in the same-class data pair to obtain the absolute value of the difference of the data in the same-class data pair, and taking the absolute value of the difference of the data in the same-class data pair as the difference data between the same-class data pairs.

S304: and the monitoring and recording equipment determines the accuracy test result based on the difference data.

Specifically, the accuracy test result includes accuracy or inaccuracy, and the determining the accuracy test result by the difference data may include: when the difference data is not larger than a first preset threshold value, determining that the accuracy test result is accurate; and when the difference data is not greater than a first preset threshold value, determining that the accuracy test result is inaccurate.

Specifically, the first preset threshold may be set according to actual application requirements.

S205: and the monitoring and recording equipment preprocesses the first risk event data, the vehicle-mounted recorded data of the target vehicle, the second risk event data and the running data of the target vehicle based on the accuracy test result to obtain data to be fused.

Specifically, the preprocessing, by the monitoring and recording device, the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, and the operation data of the target vehicle based on the accuracy test result, and obtaining the data to be fused may include:

1) and when the accuracy test result comprises accuracy, the monitoring and recording equipment deletes the data included in the second risk event data in the homogeneous data pair and/or the operation data of the target vehicle.

In practical application, when the accuracy test result includes accuracy, that is, the difference between the same-class data recorded by the vehicle-mounted device and the same-class data recorded by the monitoring recording device is not large, the monitoring recording device deletes the second risk event data in the same-class data pair and/or the operation data of the target vehicle, and retains the first risk event data recorded by the vehicle-mounted device of the target vehicle in the same-class data pair and/or the vehicle-mounted recorded data of the target vehicle.

2) And taking the first risk event data, the vehicle-mounted record data of the target vehicle, the deleted second risk event data and the deleted operation data of the target vehicle as the data to be fused.

Specifically, the preprocessing, by the monitoring and recording device, the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, and the operation data of the target vehicle based on the accuracy test result, and obtaining the data to be fused may further include:

(1) when the accuracy test result comprises inaccuracy, respectively carrying out fault marking on the data in the same type of data pairs;

(2) and taking the first risk event data after the fault marking, the vehicle-mounted record data of the target vehicle after the fault marking, the second risk event data after the fault marking and the running data of the target vehicle after the fault marking as the data to be fused.

When the accuracy test result comprises inaccuracy, respectively carrying out fault marking on the data in the same type of data pairs; the first risk event data after the fault marking, the vehicle-mounted record data of the target vehicle after the fault marking, the second risk event data after the fault marking and the operation data of the target vehicle after the fault marking are used as the data to be fused, for example, when the difference data between the vehicle speed of the target vehicle at the first moment recorded by the vehicle-mounted equipment of the target vehicle and the vehicle speed of the target vehicle at the first moment recorded by the monitoring recording system exceeds a first preset threshold, namely, the vehicle speed of the target vehicle at the first moment recorded by the vehicle-mounted equipment of the target vehicle and the vehicle speed of the target vehicle at the first moment recorded by the monitoring recording system are subjected to the fault marking, so that a vehicle owner or a manager can be prompted to carry out equipment inspection and maintenance (for example, the inspection and maintenance of a velometer) in time, and the reliability of the event data record is improved.

In this specification embodiment, when there is a vehicle associated with the target vehicle, the method may further include:

(1) the monitoring recording device acquires vehicle-mounted record data of a vehicle associated with the target vehicle and third risk event data recorded by the vehicle associated with the target vehicle.

(2) And the monitoring and recording equipment carries out accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the third risk event data and the vehicle-mounted record data of the vehicle related to the target vehicle to obtain an accuracy test result.

Specifically, the performing accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the third risk event data, and the vehicle-mounted record data of the vehicle associated with the target vehicle may include:

1) homogeneous data pairs in the on-board log data of the target vehicle and the on-board log data of the vehicle associated with the target vehicle are determined.

2) Homogeneous data pairs in the first risk event data and the third risk event data are determined.

3) And comparing the same-class data pairs to obtain difference data among the same-class data pairs.

4) Determining the accuracy test result based on the difference data.

Specifically, the step of determining the peer data pairs in the vehicle-mounted record data of the target vehicle and the vehicle-mounted record data of the vehicle associated with the target vehicle, the step of determining the peer data pairs in the first risk event data and the third risk event data, the step of comparing the peer data pairs to obtain difference data between the peer data pairs, and the specific process of determining the accuracy test result based on the difference data is similar to that in S301 to S304, which can refer to the related descriptions in S301 to S304, and is not described herein again.

(3) And the monitoring and recording equipment preprocesses the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, the running data of the target vehicle, the vehicle-mounted record data of the vehicle associated with the target vehicle and the third risk event data based on the accuracy test result to obtain data to be fused.

Specifically, the monitoring and recording device preprocesses the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, the operation data of the target vehicle, the vehicle-mounted record data of the vehicle associated with the target vehicle, and the third risk event data based on the accuracy test result, and a specific process of obtaining data to be fused is similar to S204, which can refer to the related description of S204 and is not repeated here.

(4) And performing data fusion on the data to be fused to obtain a target event fusion data packet.

In practical applications, when the accuracy test result includes accuracy, that is, the data recorded by the vehicle-mounted device of the target vehicle and the data recorded by the vehicle associated with the target vehicle do not differ much, the monitoring recording device will retain the first risk event data recorded by the vehicle-mounted device of the target vehicle in the peer data pair, and/or the data recorded by the vehicle-mounted device of the target vehicle, because when the data difference is small, the first risk event data recorded by the vehicle-mounted device of the target vehicle is compared with the data recorded by the vehicle associated with the target vehicle, and/or the data recorded by the vehicle-mounted device of the target vehicle is more accurate, so that the reliability of the event data recording can be improved. In practical application, because the vehicle-mounted EDR can be damaged in an accident to cause the loss of event data, when a vehicle associated with the target vehicle exists, the data recorded by the vehicle associated with the target vehicle is stored together, so that one more guarantee is provided, and the reliability of the event data record can be improved.

Specifically, as shown in fig. 4, before performing an accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, and the operation data of the target vehicle to obtain an accuracy test result, the method further includes:

s401: performing missing inspection on the vehicle-mounted record data of the target vehicle based on the time information in the vehicle-mounted record data of the target vehicle and the time information in the operation data of the target vehicle;

specifically, the performing of the missing check on the vehicle-mounted record data of the target vehicle based on the time information in the vehicle-mounted record data of the target vehicle and the time information in the operation data of the target vehicle may include performing a difference on a duration of the vehicle-mounted record data of the target vehicle and a duration of the operation data of the target vehicle based on the time information in the vehicle-mounted record data of the target vehicle and the time information in the operation data of the target vehicle, and determining that the vehicle-mounted record data of the target vehicle is missing if the difference exceeds a second preset threshold. Specifically, the second preset threshold may be set according to actual application requirements. In practical applications, the vehicle-mounted record data of the target vehicle may also be subjected to a missing check based on the setting of the vehicle-mounted EDR, for example, the recorded vehicle-mounted record data of the target vehicle has a duration lower than a preset duration, which is not limited by the invention.

S402: and performing missing inspection on the vehicle-mounted record data of the target vehicle based on the time information in the first risk event data and the time information in the second risk event data.

Specifically, the specific process of performing the missing check on the vehicle-mounted record data of the target vehicle based on the time information in the first risk event data and the time information in the second risk event data is similar to the specific process of S401, and reference may be made to the related description of S401, which is not repeated herein.

S403: and when the vehicle-mounted record data of the target vehicle and the first risk event data are determined to be not missing, carrying out accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle.

In an embodiment of the present specification, when it is determined that the on-board recorded data of the target vehicle and/or the first risk event data is missing, the method further comprises:

and after data fusion is carried out on the data to be fused to obtain a target event fusion data packet, fault marking is carried out on the target event fusion data packet.

Since in actual circumstances the onboard EDR may be damaged in an accident or a secondary accident such that the data sent to the monitoring recording device (e.g., base station EDR) is incomplete, the onboard record data of the target vehicle is subjected to a loss check based on the time information in the onboard record data of the target vehicle and the time information in the operation data of the target vehicle, the onboard record data of the target vehicle is subjected to a loss check based on the time information in the first risk event data and the time information in the second risk event data, and when it is determined that the onboard record data of the target vehicle and/or the first risk event data is missing, the target event fusion data packet is fault-marked, for example, a camera of the onboard EDR is damaged in an accident, resulting in a loss of video data in the second risk event data, the target event fusion data packet is subjected to fault marking, so that an owner or a manager can be prompted to check and maintain the equipment (for example, a camera) in time, and the reliability of the event data record is improved.

S206: and the monitoring recording equipment performs data fusion on the data to be fused to obtain a target event fusion data packet.

Specifically, the data fusion of the data to be fused by the monitoring and recording device to obtain the target event fusion data packet may include integrating the data to be fused through a fusion algorithm, for example, uniformly converting a data format of the data to be fused.

In an embodiment of this specification, after the monitoring and recording device performs data fusion on the data to be fused to obtain a target event fusion data packet, the method may further include:

and acquiring video data which is recorded by monitoring and recording equipment and is a long time before an event occurs and video data which is recorded by the monitoring and recording equipment and is a long time after the event occurs, and associating the video data which is recorded by the monitoring and recording equipment and is a long time before the event occurs and is a long time after the event occurs with the target event fusion data packet.

The video data of a long time before the event recorded by the monitoring and recording device and the video data of a long time after the event are associated with the target event fusion data packet, so that the reliability and integrity of the event data record can be improved, and the accident reason and the accident process can be conveniently checked later.

In an embodiment of this specification, after performing data fusion on the data to be fused to obtain a target event fusion data packet, the method further includes:

and the monitoring and recording equipment sends the target event fusion data packet to a cloud server.

The target event fusion data packet is sent to the cloud server through the monitoring and recording device, data can be backed up and stored, the data storage safety is improved, and the storage space and performance occupied by the base station are reduced. And the target event fusion data packet is uploaded to the cloud end, and then data can be retrieved remotely and manually. And after the target event fusion data packet is processed, saving the fifth preset time as a reference until the fifth preset time is artificially deleted or exceeded (for example, 1 year), and when the target event fusion data packet is taken out without people and exceeds the sixth preset time (for example, 1 month), automatically sending a message to a related department by a base station system (monitoring and recording equipment) to inform the related personnel of data retrieval. Specifically, the fifth preset time and the sixth preset time may be set according to actual application requirements. In practical applications, a retriever of the target event fusion data packet needs to retrieve data by means of a license (electronic authentication or manual confirmation), and after the target event fusion data packet is taken out, a relevant taking-out record is reserved, so as to improve the security of the data.

In the embodiment of the specification, risk probability detection is performed on a target vehicle through vehicle-mounted equipment and monitoring recording equipment of the target vehicle, when any one of the vehicle-mounted equipment and the monitoring recording equipment detects that risk probability exists, a risk identification instruction is sent to the other equipment, and both the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle perform risk identification, so that the accuracy of risk probability detection can be improved, event related data can be recorded more timely, and the obtained event related data can be ensured to be more accurate; risk identification is carried out on the target vehicle through the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle, when any one of the equipment identifies that the risk exists, namely when the accident is confirmed, an event recording instruction is sent to the other equipment, and the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle start to carry out risk event data recording, so that the accuracy of risk identification can be improved, the occurrence of the event can be confirmed more timely, the obtained event process data is more accurate and complete, and the reliability of event data recording is improved; acquiring locally recorded operation data of the target vehicle and acquiring second risk event data recorded after the risk identification result of the vehicle-mounted equipment of the target vehicle is that a risk exists; carrying out accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle to obtain an accuracy test result; preprocessing the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle based on the accuracy test result to obtain data to be fused; and performing data fusion on the data to be fused to obtain a target event fusion data packet. The reliability of event data recording can be improved; when the accuracy test result comprises inaccuracy, respectively carrying out fault marking on the data in the same type of data pairs; and the first risk event data after the fault marking, the vehicle-mounted record data of the target vehicle after the fault marking, the second risk event data after the fault marking and the operation data of the target vehicle after the fault marking are used as the data to be fused, so that a vehicle owner or a manager can be prompted to check and maintain the equipment in time, and the reliability of the event data record is improved. The monitoring and recording device sends the target event fusion data packet to the cloud server, backup storage can be performed on data, the safety of data storage is improved, and the storage space and performance occupied by a base station are reduced.

An embodiment of the present application further provides an event data recording device, as shown in fig. 5, the device includes:

a risk probability detection module 510, configured to perform risk identification on a target vehicle when it is detected that the target vehicle has a risk probability;

a risk identification obtaining module 520, configured to start recording first risk event data of the target vehicle and obtain vehicle-mounted record data of the target vehicle recorded by a first vehicle-mounted device when a risk exists as a result of risk identification;

the data acquisition module 530 is configured to acquire locally recorded operation data of the target vehicle and acquire second risk event data recorded after a risk identification result of the vehicle-mounted device of the target vehicle is that a risk exists;

the accuracy testing module 540 is configured to perform accuracy testing on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, and the operation data of the target vehicle to obtain an accuracy testing result;

the data preprocessing module 550 is configured to preprocess the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, and the operation data of the target vehicle based on the accuracy test result to obtain data to be fused;

and the data fusion module 560 is configured to perform data fusion on the data to be fused to obtain a target event fusion data packet.

In one embodiment, the accuracy testing module 540 may further include:

the first homogeneous data pair determining unit is used for determining homogeneous data pairs in the vehicle-mounted recording data of the target vehicle and the operation data of the target vehicle;

a second homogeneous data pair determining unit, configured to determine homogeneous data pairs in the first risk event data and the second risk event data;

the data comparison unit is used for comparing the same type of data pairs to obtain difference data among the same type of data pairs;

a result determination unit for determining the accuracy test result based on the difference data.

In one embodiment, the data pre-processing module 850 may include:

the data deleting unit is used for deleting the second risk event data in the homogeneous data pair and/or the running data of the target vehicle when the accuracy test result comprises accuracy;

and the first data determining unit is used for taking the first risk event data, the vehicle-mounted record data of the target vehicle, the deleted second risk event data and the deleted running data of the target vehicle as the data to be fused.

In another embodiment, the data preprocessing module 850 may further include:

the fault marking unit is used for respectively marking the faults of the data in the same type of data pairs when the accuracy test result comprises inaccuracy;

and the second data determination unit is used for taking the first risk event data after the fault marking, the vehicle-mounted record data of the target vehicle after the fault marking, the second risk event data after the fault marking and the running data of the target vehicle after the fault marking as the data to be fused.

In one embodiment, the apparatus may further include:

the first missing inspection module is used for carrying out missing inspection on the vehicle-mounted record data of the target vehicle based on the time information in the vehicle-mounted record data of the target vehicle and the time information in the operation data of the target vehicle;

the second missing inspection module is used for carrying out missing inspection on vehicle-mounted record data of the target vehicle based on the time information in the first risk event data and the time information in the second risk event data;

and the post-inspection accuracy testing module is used for testing the accuracy of the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle when the vehicle-mounted record data of the target vehicle and the first risk event data are determined to be not missing.

Specifically, the apparatus may further include:

and the fault marking module is used for marking the fault of the target event fusion data packet after performing data fusion on the data to be fused to obtain the target event fusion data packet.

In one embodiment, the apparatus may further include:

and the data sending module is used for sending the target event fusion data packet to a cloud server after performing data fusion on the data to be fused to obtain the target event fusion data packet.

Specifically, the modules of the event data recording device can be coupled and communicate through a bus.

According to the event data recording device, the risk probability of the target vehicle is detected through the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle, when any one of the vehicle-mounted equipment and the monitoring recording equipment detects that the risk probability exists, a risk identification instruction is sent to the other equipment, and both the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle carry out risk identification, so that the accuracy of risk probability detection can be improved, event related data can be recorded more timely, and the obtained event related data can be more accurate; risk identification is carried out on the target vehicle through the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle, when any one of the equipment identifies that the risk exists, namely when the accident is confirmed, an event recording instruction is sent to the other equipment, and the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle start to carry out risk event data recording, so that the accuracy of risk identification can be improved, the occurrence of the event can be confirmed more timely, the obtained event process data is more accurate and complete, and the reliability of event data recording is improved; acquiring locally recorded operation data of the target vehicle and acquiring second risk event data recorded after the risk identification result of the vehicle-mounted equipment of the target vehicle is that a risk exists; carrying out accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle to obtain an accuracy test result; preprocessing the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle based on the accuracy test result to obtain data to be fused; and performing data fusion on the data to be fused to obtain a target event fusion data packet. The reliability of event data recording can be improved; when the accuracy test result comprises inaccuracy, respectively carrying out fault marking on the data in the same type of data pairs; and the first risk event data after the fault marking, the vehicle-mounted record data of the target vehicle after the fault marking, the second risk event data after the fault marking and the operation data of the target vehicle after the fault marking are used as the data to be fused, so that a vehicle owner or a manager can be prompted to check and maintain the equipment in time, and the reliability of the event data record is improved. The monitoring and recording device sends the target event fusion data packet to the cloud server, backup storage can be performed on data, the safety of data storage is improved, and the storage space and performance occupied by a base station are reduced.

An embodiment of the present invention provides a computer device, which includes a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or an instruction set, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement the event data recording method provided in the above method embodiment.

The memory may be used to store software programs and modules, and the processor may execute various functional applications and data processing by operating the software programs and modules stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs needed by functions and the like; the storage data area may store data created according to use of the apparatus, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory may also include a memory controller to provide the processor access to the memory.

The method embodiments provided by the embodiments of the present invention may be executed in a mobile terminal, a computer terminal, a server, or a similar computing device, that is, the computer device may include a mobile terminal, a computer terminal, a server, or a similar computing device. Taking the example of running on a server, fig. 6 is a hardware structure block diagram of the server of the event data recording method according to the embodiment of the present invention. As shown in fig. 6, the server 600 may have a large difference due to different configurations or performances, and may include one or more central processing units (Ce)An ntral Processing Units (CPU) 610 (processor 610 may include, but is not limited to, a Processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 630 for storing data, one or more storage media 620 (such as one or more mass storage devices) storing applications 623 or data 622. Memory 630 and storage medium 620 may be, among other things, transient or persistent storage. The program stored on the storage medium 620 may include one or more modules, each of which may include a series of instruction operations for the server. Still further, the central processor 610 may be configured to communicate with the storage medium 620 to execute a series of instruction operations in the storage medium 620 on the server 600. The Server 600 may also include one or more power supplies 660, one or more wired or wireless network interfaces 650, one or more input-output interfaces 640, and/or one or more operating systems 621, such as a Windows Server^TM，Mac OS X^TM，Unix^TM,Linux^TM，FreeBSD^TMAnd so on.

The input/output interface 640 may be used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the server 600. In one example, i/o Interface 640 includes a Network adapter (NIC) that may be coupled to other Network devices via a base station to communicate with the internet. In one example, the input/output interface 640 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.

It will be understood by those skilled in the art that the structure shown in fig. 6 is only an illustration and is not intended to limit the structure of the electronic device. For example, server 600 may also include more or fewer components than shown in FIG. 6, or have a different configuration than shown in FIG. 6.

Embodiments of the present invention also provide a computer-readable storage medium, which may be disposed in a server to store at least one instruction, at least one program, a code set, or a set of instructions related to implementing an event data recording method in the method embodiments, where the at least one instruction, the at least one program, the code set, or the set of instructions is loaded and executed by the processor to implement the event data recording method provided by the above method embodiments.

Alternatively, in this embodiment, the storage medium may be located in at least one network server of a plurality of network servers of a computer network. Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

According to the embodiment of the event data recording method, the device, the computer equipment or the storage medium provided by the invention, the risk probability detection is carried out on the target vehicle through the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle, when any one of the vehicle-mounted equipment and the monitoring recording equipment detects that the risk probability exists, a risk identification instruction is sent to the other equipment, and both the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle carry out risk identification, so that the accuracy of the risk probability detection can be improved, the event related data can be recorded more timely, and the obtained event related data can be ensured to be more accurate; risk identification is carried out on the target vehicle through the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle, when any one of the equipment identifies that the risk exists, namely when the accident is confirmed, an event recording instruction is sent to the other equipment, and the vehicle-mounted equipment and the monitoring recording equipment of the target vehicle start to carry out risk event data recording, so that the accuracy of risk identification can be improved, the occurrence of the event can be confirmed more timely, the obtained event process data is more accurate and complete, and the reliability of event data recording is improved; acquiring locally recorded operation data of the target vehicle and acquiring second risk event data recorded after the risk identification result of the vehicle-mounted equipment of the target vehicle is that a risk exists; carrying out accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle to obtain an accuracy test result; preprocessing the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle based on the accuracy test result to obtain data to be fused; and performing data fusion on the data to be fused to obtain a target event fusion data packet. The reliability of event data recording can be improved; when the accuracy test result comprises inaccuracy, respectively carrying out fault marking on the data in the same type of data pairs; and the first risk event data after the fault marking, the vehicle-mounted record data of the target vehicle after the fault marking, the second risk event data after the fault marking and the operation data of the target vehicle after the fault marking are used as the data to be fused, so that a vehicle owner or a manager can be prompted to check and maintain the equipment in time, and the reliability of the event data record is improved. The monitoring and recording device sends the target event fusion data packet to the cloud server, backup storage can be performed on data, the safety of data storage is improved, and the storage space and performance occupied by a base station are reduced.

It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus, device and storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for relevant points.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

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 that fall within the spirit and principle of the present invention are intended to be included therein.

Claims

1. A method of event data logging, the method comprising:

when the risk identification result indicates that the risk exists, starting to record first risk event data of the target vehicle, and acquiring vehicle-mounted record data of the target vehicle, which is recorded by vehicle-mounted equipment of the target vehicle; acquiring locally recorded operation data of the target vehicle and acquiring second risk event data recorded after the risk identification result of the vehicle-mounted equipment of the target vehicle is that a risk exists;

2. The method of claim 1, wherein the performing the accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, and the operation data of the target vehicle comprises:

determining homogeneous data pairs in the vehicle-mounted recording data of the target vehicle and the operation data of the target vehicle;

determining homogeneous data pairs in the first risk event data and the second risk event data;

comparing the same-class data pairs to obtain difference data among the same-class data pairs;

determining the accuracy test result based on the difference data.

3. The method of claim 2, wherein the accuracy test result comprises accuracy or inaccuracy, and the preprocessing the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, and the operation data of the target vehicle based on the accuracy test result to obtain the data to be fused comprises:

when the accuracy test result comprises accuracy, deleting the second risk event data in the homogeneous data pair and/or the operation data of the target vehicle;

and taking the first risk event data, the vehicle-mounted record data of the target vehicle, the deleted second risk event data and the deleted operation data of the target vehicle as the data to be fused.

4. The method of claim 3, wherein preprocessing the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, and the operation data of the target vehicle based on the accuracy test result to obtain the data to be fused further comprises:

when the accuracy test result comprises inaccuracy, respectively carrying out fault marking on the data in the same type of data pairs;

and taking the first risk event data after the fault marking, the vehicle-mounted record data of the target vehicle after the fault marking, the second risk event data after the fault marking and the running data of the target vehicle after the fault marking as the data to be fused.

5. The method of claim 1, wherein before performing the accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data, and the operation data of the target vehicle to obtain the accuracy test result, the method further comprises:

performing missing inspection on the vehicle-mounted record data of the target vehicle based on the time information in the vehicle-mounted record data of the target vehicle and the time information in the operation data of the target vehicle;

performing missing inspection on the vehicle-mounted record data of the target vehicle based on the time information in the first risk event data and the time information in the second risk event data;

and when the vehicle-mounted record data of the target vehicle and the first risk event data are determined to be not missing, carrying out accuracy test on the first risk event data, the vehicle-mounted record data of the target vehicle, the second risk event data and the operation data of the target vehicle.

6. The method of claim 5, wherein when it is determined that the on-board log data of the target vehicle and/or the first risk event data is missing, the method further comprises:

7. The method of claim 1, further comprising:

and performing data fusion on the data to be fused to obtain a target event fusion data packet, and then sending the target event fusion data packet to a cloud server.

8. An event data recording apparatus, characterized in that the apparatus comprises:

9. An event data recording device, characterized in that the device comprises a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the event data recording method according to any one of claims 1 to 7.

10. A computer-readable storage medium, in which at least one instruction or at least one program is stored, which is loaded and executed by a processor to implement the event data recording method according to any one of claims 1 to 7.