CN117765635B - Automobile collision event monitoring and recording method and automobile event recording system - Google Patents
Automobile collision event monitoring and recording method and automobile event recording system Download PDFInfo
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Abstract
The application provides a method and a system for monitoring and recording automobile collision events, which belong to the field of automobile event recording systems and are used for solving the problem that complex continuous collision events are difficult to record effectively in the related technology.
Description
Technical Field
The application relates to the field of automobile event recording systems, in particular to an automobile collision event monitoring and recording method and an automobile event recording system.
Background
The automobile event recording system, also called EDR (EVENT DATA Recorder), is a system with the functions of monitoring, collecting and recording the data related to the protection of the vehicles and passengers before, during and after the occurrence of a collision event, so as to help people to trace the real situation of traffic accidents better and restore the real situation of the accidents.
Currently, the implementation of automobile event recording systems is largely divided into two types of schemes. The first category is to configure the functions of the automobile event recording system in the air bag controller, the monitoring, collecting and recording logic of the collision event depends on the existing logic of the air bag controller, if the air bag controller detects that the air bag is triggered, the occurrence of the collision event is judged, and the national standard file GB 39032-2020, "automobile event data recording system" records the data before and after the occurrence of the collision event. The second category is that the functions of the automobile event recording system are configured in independent EDR equipment, an acceleration sensor is arranged in the EDR equipment, whether the acceleration reaches a trigger threshold value which reflects the occurrence of a collision event and the end of the collision event and is specified by the national standard is monitored based on a continuous monitoring algorithm, and then the data before and after the occurrence of the collision event are recorded.
However, two main implementations of existing automotive event recording systems are only capable of recording simple, individual crash event data, which is difficult to effectively record for complex, continuous crash event data.
Disclosure of Invention
The application provides a method for monitoring and recording automobile collision events and an automobile event recording system, which are beneficial to effectively recording complex and continuous collision events.
In a first aspect, the present application provides a method for monitoring and recording an automobile crash event. The method comprises the following steps:
acquiring acceleration monitoring data carrying a time mark;
Determining a starting point time mark and an ending point time mark based on a preset starting point threshold condition and an ending point threshold condition;
judging whether the time length between the first starting point time mark and the last ending point time mark exceeds the preset time length or not;
if not, taking acceleration monitoring data between the first starting point time mark and the last ending point time mark as collision event record data;
If yes, collision event record data is obtained according to acceleration monitoring data between the first starting point time mark and the last ending point time mark.
By adopting the technical scheme, the data of simple and independent collision events can be recorded, and the data of complex and continuous collision events can be recorded.
Further, the obtaining crash event record data according to the acceleration monitoring data between the first starting point time mark and the last ending point time mark comprises:
Judging whether the number of groups of the starting point time mark and the end point time mark is larger than a preset number or not;
If not, taking acceleration monitoring data between each set of starting point time marks and each set of end point time marks as a section of collision event record data;
if yes, determining the collision event record data of the preset number of segments according to the acceleration monitoring data between the starting point time mark and the end point time mark of each group.
Further, the determining the preset number of segments of crash event record data according to the acceleration monitoring data between each set of the start time mark and the end time mark comprises:
For each set of starting point time identification and ending point time identification, determining a total attention score according to acceleration extremum data, starting point time identification and ending point time identification, wherein the total attention score is positively related to acceleration peak values and/or positively related to the number of acceleration peak values and/or negatively related to the duration between the starting point time identification and the first starting point time identification and/or positively related to the duration between the starting point time identification and the ending point time identification;
and respectively recording acceleration monitoring data between the starting point time marks and the end point time marks of a preset number with higher total attention score as a section of collision event record data.
Further, the determining the attention total score according to the acceleration extremum data, the starting point time identifier and the ending point time identifier for each group of the starting point time identifier and the ending point time identifier comprises:
a first attention score is determined from the acceleration extremum data, In which, in the process,For the first attention score,/>For the acceleration extremum with the largest absolute value, M is the quantity of acceleration extremum data,/>For a preset acceleration threshold value, A is a preset first calculation coefficient, and A is larger than 1;
Determining a second attention score based on the start time identification and the end time identification, In the above, the ratio of/>For the second attention score,/>For the duration between the starting point time identity and the first starting point time identity,/>For the duration between the start time identity and the end time identity,/>For a preset unit duration, B is a preset second calculation coefficient, and C is a preset third calculation coefficient; calculating the total attention score according to the first attention score and the second attention score,D is a preset fourth calculation coefficient, E is a preset fifth calculation coefficient;
The first calculation coefficient, the second calculation coefficient, the third calculation coefficient, the fourth calculation coefficient and the fifth calculation coefficient are all larger than 0.
Further, the starting point threshold condition includes: if the acceleration monitoring data at the current moment is not smaller than the first preset acceleration, determining the current moment as the moment corresponding to the starting point time mark;
the endpoint threshold condition includes: the time when the first acceleration monitoring data appearing after the start time mark starts to be not more than the second preset acceleration is the time corresponding to the end time mark.
In a second aspect the present application provides an automotive event logging system. The system comprises:
The data acquisition module is used for acquiring acceleration monitoring data carrying a time mark;
The time determining module is used for determining a starting point time mark and an ending point time mark based on a preset starting point threshold condition and an ending point threshold condition;
The condition judging module is used for judging whether the time length between the first starting point time mark and the last ending point time mark exceeds the preset time length; and
The data determining module is used for taking the acceleration monitoring data between the first starting point time mark and the last end point time mark as the collision event record data when the condition judging module judges that the condition is not met, and obtaining the collision event record data according to the acceleration monitoring data between the first starting point time mark and the last end point time mark when the condition judging module judges that the condition is met.
Further, the data determination module is further configured to obtain crash event record data from acceleration monitoring data between a first start time identifier and a last end time identifier, including:
Judging whether the number of groups of the starting point time mark and the end point time mark is larger than a preset number or not;
If not, taking acceleration monitoring data between each set of starting point time marks and each set of end point time marks as a section of collision event record data;
if yes, determining the collision event record data of the preset number of segments according to the acceleration monitoring data between the starting point time mark and the end point time mark of each group.
Further, the data determination module is further configured to determine the preset number of segments of crash event record data from acceleration monitoring data between each set of start time markers and end time markers, including:
For each set of starting point time identification and ending point time identification, determining a total attention score according to acceleration extremum data, starting point time identification and ending point time identification, wherein the total attention score is positively related to acceleration peak values and/or positively related to the number of acceleration peak values and/or negatively related to the duration between the starting point time identification and the first starting point time identification and/or positively related to the duration between the starting point time identification and the ending point time identification;
and respectively recording acceleration monitoring data between the starting point time marks and the end point time marks of a preset number with higher total attention score as a section of collision event record data.
Further, the data determining module is further configured to determine, for each set of a start time identifier and an end time identifier, a total score of the degree of interest from the acceleration extremum data, the start time identifier, and the end time identifier, including:
a first attention score is determined from the acceleration extremum data, In which, in the process,For the first attention score,/>For the acceleration extremum with the largest absolute value, M is the quantity of acceleration extremum data,/>For a preset acceleration threshold value, A is a preset first calculation coefficient, and A is larger than 1;
Determining a second attention score based on the start time identification and the end time identification, In the above, the ratio of/>For the second attention score,/>For the duration between the starting point time identity and the first starting point time identity,/>For the duration between the start time identity and the end time identity,/>For a preset unit duration, B is a preset second calculation coefficient, and C is a preset third calculation coefficient;
Calculating the total attention score according to the first attention score and the second attention score,
D is a preset fourth calculation coefficient, E is a preset fifth calculation coefficient;
The first calculation coefficient, the second calculation coefficient, the third calculation coefficient, the fourth calculation coefficient and the fifth calculation coefficient are all larger than 0.
Further, in the time determination module,
The starting point threshold condition includes: if the acceleration monitoring data at the current moment is not smaller than the first preset acceleration, determining the current moment as the moment corresponding to the starting point time mark;
the endpoint threshold condition includes: the time when the first acceleration monitoring data appearing after the start time mark starts to be not more than the second preset acceleration is the time corresponding to the end time mark.
In summary, the application at least comprises the following beneficial effects:
The method and the system for monitoring and recording the automobile collision event can realize the recording of the data of simple and single collision events and the recording of the data of complex and multiple collision events;
And determining the content of the collision event record data based on the analysis of the acceleration extremum data, the starting point time mark and the end point time mark, thereby being beneficial to guaranteeing the validity of the overall stored collision event record data.
It should be understood that the description in this summary is not intended to limit the critical or essential features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the present application will become apparent from the description that follows.
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The above and other features, advantages and aspects of embodiments of the present application will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, wherein like or similar reference numerals denote like or similar elements, in which:
FIG. 1 is a flow chart of a method for monitoring and recording an automobile crash event in an embodiment of the application;
fig. 2 shows a block diagram of an automotive event recording system in an embodiment of the application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
The application provides an automobile collision event monitoring and recording method and an automobile event recording system, which can realize effective recording of complex and multiple collision event data.
In a first aspect, the present application provides a method for monitoring and recording an automobile crash event. The method can be executed by a controller of an automobile system or by a controller of EDR equipment independently arranged on the automobile, and the controller is connected with an acceleration sensor which can collect acceleration monitoring data of the automobile in real time.
FIG. 1 is a flowchart of an automobile crash event monitoring and recording method according to an embodiment of the present application
Referring to fig. 1, the method specifically includes the steps of:
s110: and acquiring acceleration monitoring data carrying the time mark.
The acceleration sensor collects acceleration monitoring data in real time, the controller can acquire the acceleration monitoring data in real time, and the clock is arranged in the controller, so that the acceleration monitoring data can carry a time mark.
S120: and determining a starting point time mark and an ending point time mark based on a preset starting point threshold condition and an ending point threshold condition.
In the method of this step, the starting point threshold condition includes: if the acceleration monitoring data at the current moment is not smaller than the first preset acceleration, determining the current moment as the moment corresponding to the starting point time mark;
the endpoint threshold condition includes: the time when the first acceleration monitoring data appearing after the start time mark starts to be not more than the second preset acceleration is the time corresponding to the end time mark.
It will be appreciated that the start threshold condition and the end threshold condition are each determined based on a vector difference in longitudinal or lateral vehicle speed. In one example, the origin threshold condition includes: if the earliest longitudinal speed change time of not less than 0.8km/h (kilometers/hour, the same applies to the description below) occurs in the previous 20ms (millisecond, the same applies to the description below) at the current time, or the earliest longitudinal speed change time of not less than 0.8km/h occurs in the previous 5ms at the current time, judging that the current time is the time corresponding to the starting point time mark; the endpoint threshold conditions include: the first moment in time, which occurs after the start time identification, satisfies the condition that the cumulative speed change in the longitudinal or transverse direction within 20ms before this moment is less than 0.8km/h.
Based on the foregoing, each start time identifier may reflect that a collision has occurred, and an end time identifier corresponding to the start time identifier may reflect that the collision has ended.
S130: judging whether the time length between the first starting point time mark and the last ending point time mark exceeds the preset time length.
If only one collision occurs, the duration between the start time identifier and the end time identifier is generally shorter, if a high-frequency continuous collision occurs, the duration between the start time identifier and the end time identifier is also shorter, and if a low-frequency continuous collision occurs, multiple sets of the start time identifier and the end time identifier may occur.
The duration of the data required to record the collision event once in the national standard file cannot exceed 260ms, and the number of the data recorded by the controller has an upper limit, generally three, if the number of the data of the collision event exceeds three, the data of the later data can cover the previous data, and the storage logic of the data of the collision event in the embodiment of the application also needs to conform to the national standard.
Based on the foregoing, considering that the storage capability of the controller is sufficient to meet the storage space requirement of the data of the collision event exceeding 260ms, in the embodiment of the application, the duration between the first starting point time identifier and the last ending point time identifier of the several collision events in one collision accident is taken as one collision accident data to carry out overall analysis, and whether the collision accident data is a simple single collision event or a complex multiple collision event is judged based on whether the overall duration exceeds the preset duration (for example, 260 ms), so that the specific analysis of specific situations is facilitated, the final storage result meets the national standard, and the requirements of subsequent calling and tracing are met.
S140: and if not, taking acceleration monitoring data between the first starting point time mark and the last ending point time mark as collision event record data.
The time length between the earliest starting point time mark and the latest ending point time mark does not exceed the preset time length, so that the collision accident data can be stored as one-time collision event record data under the condition that the national standard is met, and the acceleration monitoring data between the earliest starting point time mark and the latest ending point time mark is directly used as the collision event record data, wherein the acceleration monitoring data carries a time mark, can reflect the acceleration change of the vehicle in the time period, and completely reflects the process of the whole collision event.
S150: and when the judgment is yes, obtaining collision event record data according to the acceleration monitoring data between the first starting point time mark and the last ending point time mark.
The time length between the first starting point time mark and the last ending point time mark exceeds the preset time length, which indicates that the data in the time length cannot be stored as the data of a primary collision event under the limit of the national standard, so that effective data needs to be extracted from the whole collision event data as much as possible so as to realize effective description of the collision event.
The method comprises the following steps: judging whether the number of groups of the starting point time mark and the end point time mark is larger than a preset number or not; if not, taking acceleration monitoring data between each set of starting point time marks and each set of end point time marks as a section of collision event record data; if yes, determining the collision event record data of the preset number of segments according to the acceleration monitoring data between the starting point time mark and the end point time mark of each group.
Since the set of start time markers and end time markers reflect one collision or multiple collisions occurring at high frequency, it can be considered that the set of start time markers and end time markers correspond to one collision event, and it should be understood that the duration of one collision event is generally within a preset duration, so that the case that the duration between the set of start time markers and end markers exceeds the preset duration is not considered in the embodiment of the present application. In the complete crash event data, a plurality of crash events are determined based on a plurality of sets of start time identifiers and end time identifiers. If the number of the collision events is not greater than the preset number (for example, three, the preset number) of the collision events can be independently stored in the controller, and the situation of coverage does not exist, so that the complete collision accident data can be stored in a form of independent storage respectively and in a form of multiple collision event record data. However, if the crash event data contains more than a predetermined number of crash events, it is indicated that some crash event log data will be covered, and further analysis of the remaining crash event log data is required to avoid the important crash event log data being covered.
In general, in a collision accident, the earlier the collision event is, the higher the attention of the collision event is, the more or less the cause of the subsequent collision is, and the stronger the attention of the collision is, the more critical the traceability point and the dispute point are, and the following algorithm design is performed in combination with the above consideration.
Specifically, the determining the preset number of segments of crash event record data according to the acceleration monitoring data between each set of the start time identifier and the end time identifier includes: for each set of starting point time identification and ending point time identification, determining a total attention score according to acceleration extremum data, starting point time identification and ending point time identification, wherein the total attention score is positively related to acceleration peak values and/or positively related to the number of acceleration peak values and/or negatively related to the duration between the starting point time identification and the first starting point time identification and/or positively related to the duration between the starting point time identification and the ending point time identification; and respectively recording acceleration monitoring data between the starting point time marks and the end point time marks of a preset number with higher total attention score as a section of collision event record data.
Based on the foregoing, a calculation model can be constructed with the total attention score as a dependent variable, and the total attention score as an independent variable, and the total attention score as a positive correlation to the acceleration peak value, and/or the number of the positive correlation to the acceleration peak value, and/or the duration between the starting point time identifier and the first starting point time identifier, and/or the duration between the positive correlation to the starting point time identifier and the end point time identifier as an independent variable, where the specific structure of the calculation model can be specifically designed according to the requirement, and the following is a preferred calculation model obtained based on data training.
Under the result of data training, determining the attention total score according to the acceleration extremum data, the starting point time identifier and the ending point time identifier for each group of the starting point time identifier and the ending point time identifier comprises: a first attention score is determined from the acceleration extremum data,In the above, the ratio of/>For the first degree of attention score,For the acceleration extremum with the largest absolute value, M is the quantity of acceleration extremum data,/>For a preset acceleration threshold value, A is a preset first calculation coefficient, and A is larger than 1;
Determining a second attention score based on the start time identification and the end time identification, In the above, the ratio of/>For the second attention score,/>For the duration between the starting point time identity and the first starting point time identity,/>For the duration between the start time identity and the end time identity,/>For a preset unit duration, B is a preset second calculation coefficient, and C is a preset third calculation coefficient;
Calculating the total attention score according to the first attention score and the second attention score, D is a preset fourth calculation coefficient, E is a preset fifth calculation coefficient;
The first calculation coefficient, the second calculation coefficient, the third calculation coefficient, the fourth calculation coefficient and the fifth calculation coefficient are all larger than 0.
In this example, a=10, b=c=30,=10（ms），/>=500000（km/h）。
The value can be adjusted according to the requirement, and the relationship between the total attention score value obtained by the starting point time mark and the end point mark of different collision events obtained through final calculation is not influenced.
The higher the total attention score is, the more important the collision event is, so that acceleration monitoring data between a starting point time mark and an end point time mark corresponding to the total attention score corresponding to the collision event can be stored as collision event record data, and a preset number of collision events with the highest total attention score are stored under the limit of a limited number, so that the most effective overall collision accident record is ensured.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the described action sequences, as some steps may be performed in other sequences or simultaneously, according to the embodiments of the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are alternative embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In a second aspect the present application provides an automotive event logging system. The system may be contained within the controller of the automotive system, or may be contained within or implemented as the controller of a stand-alone EDR device.
Fig. 2 shows a block diagram of an automotive event recording system in an embodiment of the application.
Referring to fig. 2, the system includes:
a data acquisition module 210, configured to acquire acceleration monitoring data carrying a time identifier;
A time determining module 220, configured to determine a start time identifier and an end time identifier based on a preset start threshold condition and an end threshold condition;
The condition judging module 230 is configured to judge whether a duration between the first starting time identifier and the last ending time identifier exceeds a preset duration; and
The data determining module 240 is configured to take acceleration monitoring data between the first starting point time identifier and the last ending point time identifier as crash event record data when the condition determining module 230 determines no, and to obtain crash event record data according to the acceleration monitoring data between the first starting point time identifier and the last ending point time identifier when the condition determining module 230 determines yes.
Further, the data determining module 240 is further configured to obtain crash event record data from acceleration monitoring data between a first start time identifier and a last end time identifier, including:
Judging whether the number of groups of the starting point time mark and the end point time mark is larger than a preset number or not;
If not, taking acceleration monitoring data between each set of starting point time marks and each set of end point time marks as a section of collision event record data;
if yes, determining the collision event record data of the preset number of segments according to the acceleration monitoring data between the starting point time mark and the end point time mark of each group.
Further, the data determining module 240 is further configured to determine the predetermined number of segments of crash event record data from acceleration monitoring data between each set of start time markers and end time markers, including:
For each set of starting point time identification and ending point time identification, determining a total attention score according to acceleration extremum data, starting point time identification and ending point time identification, wherein the total attention score is positively related to acceleration peak values and/or positively related to the number of acceleration peak values and/or negatively related to the duration between the starting point time identification and the first starting point time identification and/or positively related to the duration between the starting point time identification and the ending point time identification;
and respectively recording acceleration monitoring data between the starting point time marks and the end point time marks of a preset number with higher total attention score as a section of collision event record data.
Further, the data determining module 240 is further configured to determine, for each set of a start time identifier and an end time identifier, a total score of the degree of interest according to the acceleration extremum data, the start time identifier, and the end time identifier, including:
a first attention score is determined from the acceleration extremum data, In which, in the process,For the first attention score,/>For the acceleration extremum with the largest absolute value, M is the quantity of acceleration extremum data,/>For a preset acceleration threshold value, A is a preset first calculation coefficient, and A is larger than 1;
Determining a second attention score based on the start time identification and the end time identification, In the above, the ratio of/>For the second attention score,/>For the duration between the starting point time identity and the first starting point time identity,/>For the duration between the start time identity and the end time identity,/>For a preset unit duration, B is a preset second calculation coefficient, and C is a preset third calculation coefficient;
Calculating the total attention score according to the first attention score and the second attention score, D is a preset fourth calculation coefficient, E is a preset fifth calculation coefficient;
The first calculation coefficient, the second calculation coefficient, the third calculation coefficient, the fourth calculation coefficient and the fifth calculation coefficient are all larger than 0.
Further, in the time determination module 220,
The starting point threshold condition includes: if the acceleration monitoring data at the current moment is not smaller than the first preset acceleration, determining the current moment as the moment corresponding to the starting point time mark;
the endpoint threshold condition includes: the time when the first acceleration monitoring data appearing after the start time mark starts to be not more than the second preset acceleration is the time corresponding to the end time mark.
It will be clear to those skilled in the art that, for convenience and brevity of description, reference may be made to the corresponding process in the foregoing method embodiment for the specific working process of the described apparatus, which is not described herein again.
In summary, the application at least comprises the following beneficial effects:
The method and the system for monitoring and recording the automobile collision event can realize the recording of the data of simple and single collision events and the recording of the data of complex and multiple collision events;
And determining the content of the collision event record data based on the analysis of the acceleration extremum data, the starting point time mark and the end point time mark, thereby being beneficial to guaranteeing the validity of the overall stored collision event record data.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in the present application is not limited to the specific combinations of technical features described above, but also covers other technical features which may be formed by any combination of the technical features described above or their equivalents without departing from the spirit of the disclosure. Such as the above-mentioned features and the technical features disclosed in the present application (but not limited to) having similar functions are replaced with each other.
Claims (2)
1. A method for monitoring and recording an automobile crash event, comprising:
acquiring acceleration monitoring data carrying a time mark;
Determining a starting point time mark and an ending point time mark based on a preset starting point threshold condition and an ending point threshold condition;
judging whether the time length between the first starting point time mark and the last ending point time mark exceeds the preset time length or not;
if not, taking acceleration monitoring data between the first starting point time mark and the last ending point time mark as collision event record data;
if yes, collision event record data is obtained according to acceleration monitoring data between the first starting point time mark and the last ending point time mark;
The obtaining crash event record data according to the acceleration monitoring data between the first starting point time mark and the last ending point time mark comprises the following steps:
Judging whether the number of groups of the starting point time mark and the end point time mark is larger than a preset number or not;
If not, taking acceleration monitoring data between each set of starting point time marks and each set of end point time marks as a section of collision event record data;
if yes, determining the collision event record data of a preset number of segments according to acceleration monitoring data between each group of starting point time marks and each group of end point time marks;
The determining the preset number of segments of collision event record data according to the acceleration monitoring data between each set of starting point time marks and end point time marks comprises the following steps:
For each set of starting point time identification and ending point time identification, determining a total attention score according to acceleration extremum data, starting point time identification and ending point time identification, wherein the total attention score is positively related to acceleration peak values and/or positively related to the number of acceleration peak values and/or negatively related to the duration between the starting point time identification and the first starting point time identification and/or positively related to the duration between the starting point time identification and the ending point time identification;
The acceleration monitoring data between the starting point time marks and the end point time marks of a preset number group with higher total attention score are respectively a section of collision event record data;
the determining the attention degree total score according to the acceleration extremum data, the starting point time mark and the ending point time mark comprises the following steps of:
a first attention score is determined from the acceleration extremum data, In the above, the ratio of/>For the first attention score,/>For the acceleration extremum with the largest absolute value, M is the quantity of acceleration extremum data,/>For a preset acceleration threshold value, A is a preset first calculation coefficient, and A is larger than 1;
Determining a second attention score based on the start time identification and the end time identification, In the above, the ratio of/>For the second attention score,/>For the duration between the starting point time identity and the first starting point time identity,/>For the duration between the start time identity and the end time identity,/>For a preset unit duration, B is a preset second calculation coefficient, and C is a preset third calculation coefficient;
Calculating the total attention score according to the first attention score and the second attention score, D is a preset fourth calculation coefficient, E is a preset fifth calculation coefficient;
The first calculation coefficient, the second calculation coefficient, the third calculation coefficient, the fourth calculation coefficient and the fifth calculation coefficient are all larger than 0;
The starting point threshold condition includes: if the acceleration monitoring data at the current moment is not smaller than the first preset acceleration, determining the current moment as the moment corresponding to the starting point time mark;
the endpoint threshold condition includes: the time when the first acceleration monitoring data appearing after the start time mark starts to be not more than the second preset acceleration is the time corresponding to the end time mark.
2. An automotive event recording system, comprising:
A data acquisition module (210) for acquiring acceleration monitoring data carrying a time identifier;
a time determining module (220) for determining a start time identifier and an end time identifier based on a preset start threshold condition and end threshold condition;
The condition judging module (230) is used for judging whether the time length between the first starting point time mark and the last ending point time mark exceeds the preset time length; and
A data determining module (240) for taking acceleration monitoring data between the first starting point time mark and the last ending point time mark as collision event recording data when the condition judging module (230) judges no, and for obtaining the collision event recording data according to the acceleration monitoring data between the first starting point time mark and the last ending point time mark when the condition judging module (230) judges yes;
the data determination module (240) is further configured to obtain crash event record data from acceleration monitoring data between a first start time identifier and a last end time identifier, comprising:
Judging whether the number of groups of the starting point time mark and the end point time mark is larger than a preset number or not;
If not, taking acceleration monitoring data between each set of starting point time marks and each set of end point time marks as a section of collision event record data;
if yes, determining the collision event record data of a preset number of segments according to acceleration monitoring data between each group of starting point time marks and each group of end point time marks;
The data determination module (240) is further configured to determine a preset number of segments of crash event record data from acceleration monitoring data between each set of start time markers and end time markers, comprising:
For each set of starting point time identification and ending point time identification, determining a total attention score according to acceleration extremum data, starting point time identification and ending point time identification, wherein the total attention score is positively related to acceleration peak values and/or positively related to the number of acceleration peak values and/or negatively related to the duration between the starting point time identification and the first starting point time identification and/or positively related to the duration between the starting point time identification and the ending point time identification;
The acceleration monitoring data between the starting point time marks and the end point time marks of a preset number group with higher total attention score are respectively a section of collision event record data;
The data determination module (240) is further configured to determine, for each set of a start time identifier and an end time identifier, a total score of the degree of interest from the acceleration extremum data, the start time identifier, and the end time identifier, including:
a first attention score is determined from the acceleration extremum data, In the above, the ratio of/>For the first attention score,/>For the acceleration extremum with the largest absolute value, M is the quantity of acceleration extremum data,/>For a preset acceleration threshold value, A is a preset first calculation coefficient, and A is larger than 1;
Determining a second attention score based on the start time identification and the end time identification, In the above, the ratio of/>For the second attention score,/>For the duration between the starting point time identity and the first starting point time identity,/>For the duration between the start time identity and the end time identity,/>For a preset unit duration, B is a preset second calculation coefficient, and C is a preset third calculation coefficient;
Calculating the total attention score according to the first attention score and the second attention score, D is a preset fourth calculation coefficient, E is a preset fifth calculation coefficient;
The first calculation coefficient, the second calculation coefficient, the third calculation coefficient, the fourth calculation coefficient and the fifth calculation coefficient are all larger than 0;
in the time determination module (220),
The starting point threshold condition includes: if the acceleration monitoring data at the current moment is not smaller than the first preset acceleration, determining the current moment as the moment corresponding to the starting point time mark;
the endpoint threshold condition includes: the time when the first acceleration monitoring data appearing after the start time mark starts to be not more than the second preset acceleration is the time corresponding to the end time mark.
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