CN115424440B - Driving behavior early warning method, device, equipment and storage medium - Google Patents

Driving behavior early warning method, device, equipment and storage medium Download PDF

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CN115424440B
CN115424440B CN202211035414.9A CN202211035414A CN115424440B CN 115424440 B CN115424440 B CN 115424440B CN 202211035414 A CN202211035414 A CN 202211035414A CN 115424440 B CN115424440 B CN 115424440B
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vehicle
triaxial
values
behavior
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CN115424440A (en
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江运
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Queclink Wireless Solutions Co Ltd
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Queclink Wireless Solutions Co Ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams

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  • General Physics & Mathematics (AREA)
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  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
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  • Emergency Management (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Traffic Control Systems (AREA)

Abstract

The application provides a driving behavior early warning method, a driving behavior early warning device, driving behavior early warning equipment and a storage medium. And further acquiring a plurality of groups of real-time triaxial values in the running process of the vehicle, and determining whether the vehicle has an overdriving behavior according to the plurality of groups of real-time triaxial values, the steady state value and the GPS information of the vehicle. If the determined vehicle has the overdriving behavior, driving behavior early warning information is generated and reported to the management server, so that the overdriving behavior of the vehicle is timely found and warned based on the triaxial values in the running process of the vehicle, the occurrence of unknown danger is avoided, and the safe driving of the vehicle is ensured.

Description

Driving behavior early warning method, device, equipment and storage medium
Technical Field
The present application relates to the field of vehicle driving technologies, and in particular, to a driving behavior early warning method, device, equipment, and storage medium.
Background
With the development of modern technology, the performance of vehicles is continuously enhanced. However, during the running of the vehicle, some overstress driving behavior of the vehicle may occur due to improper operation of the driver. The most common driving behaviors are sharp acceleration and sharp deceleration.
Obviously, the oversteering driving behavior of the vehicle during driving tends to cause a lot of unexpected risks, which in turn can cause unpredictable injuries. Therefore, a solution is needed to find and warn the driving behavior of the vehicle in a driving process in time.
Disclosure of Invention
The application provides a driving behavior early warning method, device, equipment and storage medium, which are used for timely finding and warning the overdriving driving behavior in the driving process of a vehicle.
In a first aspect, the present application provides a driving behavior early warning method, including:
Acquiring a plurality of groups of historical triaxial values of a vehicle in a preset running time period, and determining a steady state value of the vehicle according to the plurality of groups of historical triaxial values;
If so, acquiring a plurality of groups of real-time triaxial values in the running process of the vehicle, and determining whether the vehicle has an overdriving behavior according to the plurality of groups of real-time triaxial values, the steady state value and the GPS information of the vehicle;
if the vehicle has the overdriving behavior, driving behavior early warning information is generated, and the driving behavior early warning information is reported to a management server.
In one possible design, before the acquiring the multiple sets of historical triaxial values of the vehicle within the preset driving duration, the method further includes:
After the vehicle ignition is started, a switching instruction is issued to an acceleration sensor, so that the acceleration sensor switches a range to a target range according to the switching instruction and closes an interrupt mode;
The acceleration sensor is used for collecting historical triaxial values of each group and real-time triaxial values of each group.
In one possible design, the determining the steady state value of the vehicle from the plurality of sets of historical triaxial values includes:
acquiring the variation amplitude between the historical triaxial values of each adjacent group;
determining whether the variation amplitude meets a first preset condition;
If yes, determining the last group of acquired historical triaxial values in the historical triaxial values meeting the first preset condition in the preset running duration as the historical triaxial values.
In one possible design, the determining whether the variation amplitude meets a first preset condition includes:
judging whether the number of the target historical triaxial values is larger than or equal to a first preset number, wherein the target historical triaxial values comprise historical triaxial values with the variation amplitude smaller than or equal to a first preset threshold value;
if yes, determining that the change amplitude corresponding to the target historical triaxial value meets the first preset condition.
In one possible design, the determining whether the vehicle has an overdriving behavior based on the plurality of sets of real-time three-axis values, the steady state values, and the GPS information of the vehicle includes:
obtaining a difference value between each set of real-time triaxial values and the steady state value;
Judging whether each group of difference values meets a second preset condition;
And determining the real-time three-axis value of which the difference value meets the second preset condition as a target real-time three-axis value, and determining whether the vehicle has the overdrive behavior according to GPS information corresponding to the target real-time three-axis value.
In one possible design, the determining whether each set of differences satisfies the second preset condition includes:
And judging whether the difference value of the preset continuous group is larger than or equal to a second preset threshold value.
In one possible design, the determining whether the vehicle has the overdrive behavior according to the GPS information corresponding to the target real-time three-axis value includes:
calculating an angle change value and a speed change value of the vehicle according to GPS information corresponding to the target real-time triaxial value;
judging whether the angle change value is smaller than or equal to a preset angle threshold value or not and whether the speed change value is not zero or not;
if yes, determining that the vehicle has the overdriving behavior;
The GPS information corresponding to the target real-time three-axis value comprises GPS information which is acquired recently twice before and after a behavior judgment time, and the behavior judgment time is the time when the real-time three-axis value corresponding to the last difference value in the preset continuous group of difference values is acquired.
In one possible design, after determining that the vehicle has the overdrive behavior, the method further includes:
And determining the behavior state of the overdrive behavior according to the speed change value, and reporting the behavior state to the management server, wherein the behavior state comprises a rapid acceleration state or a rapid deceleration state.
In a second aspect, the present application provides a driving behavior early warning device, including:
The first processing module is used for acquiring a plurality of groups of historical triaxial values of the vehicle in a preset running time period, and determining a steady state value of the vehicle according to the plurality of groups of historical triaxial values;
The second processing module is used for acquiring a plurality of groups of real-time triaxial values in the running process of the vehicle and determining whether the vehicle has an overdriving behavior or not according to the plurality of groups of real-time triaxial values, the steady state value and the GPS information of the vehicle;
And the third processing module is used for generating driving behavior early warning information and reporting the driving behavior early warning information to a management server if the vehicle has the overdriving driving behavior.
In one possible design, the driving behavior early warning device further includes: a fourth processing module; the fourth processing module is configured to:
After the vehicle ignition is started, a switching instruction is issued to an acceleration sensor, so that the acceleration sensor switches a range to a target range according to the switching instruction and closes an interrupt mode;
The acceleration sensor is used for collecting historical triaxial values of each group and real-time triaxial values of each group.
In one possible design, the first processing module is specifically configured to:
acquiring the variation amplitude between the historical triaxial values of each adjacent group;
determining whether the variation amplitude meets a first preset condition;
If yes, determining the last group of historical triaxial values in the historical triaxial values meeting the first preset condition in the preset running duration as the steady-state value.
In one possible design, the first processing module is further configured to:
Judging whether the variation amplitude is smaller than or equal to a first preset threshold value;
If so, determining the historical triaxial value with the variation amplitude smaller than or equal to the first preset threshold value as a target historical triaxial value,
Judging whether the number of the target historical triaxial values is larger than or equal to a first preset number;
if yes, determining that the change amplitude corresponding to the target historical triaxial value meets the first preset condition.
In one possible design, the second processing module is specifically configured to:
obtaining a difference value between each set of real-time triaxial values and the steady state value;
Judging whether each group of difference values meets a second preset condition;
And determining the real-time three-axis value of which the difference value meets the second preset condition as a target real-time three-axis value, and determining whether the vehicle has the overdrive behavior according to GPS information corresponding to the target real-time three-axis value.
In one possible design, the second processing module is further configured to:
And judging whether the difference value of the preset continuous group is larger than or equal to a second preset threshold value.
In one possible design, the second processing module is further configured to:
calculating an angle change value and a speed change value of the vehicle according to GPS information corresponding to the target real-time triaxial value;
judging whether the angle change value is smaller than or equal to a preset angle threshold value or not and whether the speed change value is not zero or not;
if yes, determining that the vehicle has the overdriving behavior;
The GPS information corresponding to the target real-time three-axis value comprises GPS information which is acquired recently twice before and after a behavior judgment time, and the behavior judgment time is the time when the real-time three-axis value corresponding to the last difference value in the preset continuous group of difference values is acquired.
In one possible design, the third processing module is further configured to:
And determining the behavior state of the overdrive behavior according to the speed change value, and reporting the behavior state to the management server, wherein the behavior state comprises a rapid acceleration state or a rapid deceleration state.
In a third aspect, the present application provides an electronic device comprising: a processor, and a memory communicatively coupled to the processor;
The memory stores computer-executable instructions;
The processor executes the computer-executable instructions stored in the memory to implement any one of the possible driving behavior early warning methods provided in the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out any one of the possible driving behaviour pre-warning methods provided in the first aspect.
In a fifth aspect, the present application provides a computer program product comprising computer-executable instructions for implementing any one of the possible driving behaviour pre-warning methods provided in the first aspect when executed by a processor.
The application provides a driving behavior early warning method, a driving behavior early warning device, driving behavior early warning equipment and a storage medium. And further acquiring a plurality of groups of real-time triaxial values in the running process of the vehicle, and determining whether the vehicle has an overdriving behavior according to the plurality of groups of real-time triaxial values, the steady state value and the GPS information of the vehicle. If the determined vehicle has the overdriving behavior, driving behavior early warning information is generated and reported to the management server, so that the overdriving behavior of the vehicle is timely found and warned based on the triaxial values in the running process of the vehicle, the occurrence of unknown danger is avoided, and the safe driving of the vehicle is ensured.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;
Fig. 2 is a schematic flow chart of a driving behavior early warning method according to an embodiment of the present application;
Fig. 3 is a flow chart of another driving behavior early warning method according to an embodiment of the present application;
fig. 4 is a flow chart of another driving behavior early warning method according to an embodiment of the present application;
fig. 5 is a flow chart of another driving behavior early warning method according to an embodiment of the present application;
fig. 6 is a flow chart of another driving behavior early warning method according to an embodiment of the present application;
Fig. 7 is a schematic structural diagram of a driving behavior early warning device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of another driving behavior early warning device according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of methods and apparatus consistent with aspects of the application as detailed in the accompanying claims.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented, for example, in sequences other than those illustrated or otherwise 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 apparatus 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.
During running of the vehicle, some overdriving behavior of the vehicle may occur due to improper operation of the driver. The most common driving behaviors are sharp acceleration and sharp deceleration. Obviously, the oversteering driving behavior of the vehicle during driving tends to cause a lot of unexpected risks, which in turn can cause unpredictable injuries. Therefore, a solution is needed to find and warn the driving behavior of the vehicle in a driving process in time.
Aiming at the problems in the prior art, the application provides a driving behavior early warning method, a driving behavior early warning device, driving behavior early warning equipment and a storage medium. The driving behavior early warning method provided by the application has the following conception: firstly, a steady-state value is determined according to a historical triaxial value in the running process of a vehicle, the steady-state value is updated according to a preset running time length, the triaxial value in the running process of the vehicle is obtained in real time, the triaxial value obtained in real time is compared with the steady-state value maintained through updating to obtain a comparison result, the comparison result is filtered by utilizing an angle change value and a speed change value extracted from GPS information of the vehicle, so that the situation that the triaxial value is greatly changed due to turning of the vehicle and the triaxial value is greatly changed due to non-stationary state of the vehicle is eliminated, and whether the vehicle is subjected to overdriving behavior is judged according to the filtering result. When the overdriving behavior of the vehicle is determined, driving behavior early warning information is generated, and the driving behavior early warning information is reported to the management server, so that the overdriving behavior of the vehicle can be found and warned in time.
In the following, an exemplary application scenario of an embodiment of the present application is described.
Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present application, as shown in fig. 1, a vehicle 100 may perform an overdriving behavior, such as a sudden acceleration or a sudden deceleration, during driving, and such an overdriving driving may cause a lot of unexpected risks. Thus, in order to ensure safe driving and effectively avoid occurrence of unknown hazards, it is necessary to timely discover and alert the overstress driving behavior of the vehicle 100. The electronic device 200 is configured to execute the driving behavior early warning method provided by the embodiment of the application, and can timely discover and warn the driving behavior of the vehicle 100.
The electronic device 200 may be a module chip that is mounted in a control system of the vehicle 100, and the module chip may integrate GPS (Global Positioning System) positioning functions, network communication functions, and the like, for example, the electronic device 200 in fig. 1 is shown by using an ECU (Electronic Control Unit ) as an example, and the type of the electronic device 200 is not limited in the embodiment of the present application.
In addition, when the driving behavior early warning method provided by the embodiment of the present application is executed, the historical triaxial value and the real-time triaxial value are collected by the acceleration sensor 101 mounted on the vehicle 100. The acceleration sensor 101 is connected to the electronic device 200 via a network for data transmission.
Further, after the electronic device 200 generates the driving behavior early warning information, the driving behavior early warning information is reported to the management server 300, and the management server 300 can timely respond according to the driving behavior early warning information, so that safe driving is ensured. The management server 300 may be a cloud server, or a vehicle-mounted controller of the vehicle 100, and the type of the management server 300 is not limited in the embodiment of the present application, and the cloud server is illustrated in fig. 1.
It should be noted that the above application scenario is merely illustrative, and the driving behavior early warning method, apparatus, device and storage medium provided in the embodiments of the present application include, but are not limited to, the above application scenario.
Fig. 2 is a flow chart of a driving behavior early warning method according to an embodiment of the present application. As shown in fig. 2, the driving behavior early warning method provided by the embodiment of the application includes:
s101: after the ignition of the vehicle is started, a switching instruction is issued to the acceleration sensor, so that the acceleration sensor switches the range to a target range according to the switching instruction and closes the interrupt mode.
The acceleration sensor is used for collecting historical triaxial values of each group and real-time triaxial values of each group.
The acceleration sensor is used for collecting all the historical triaxial values and all the real-time triaxial values required in the driving behavior early warning method provided by the embodiment of the application. And because the acceleration sensor comprises a plurality of measuring ranges, different measuring ranges have different detection sensitivities. For example, in the event that the vehicle is stationary and is flameout, the acceleration sensor may employ a 2G range and monitor the three-axis value of the vehicle via an interrupt mode. When the vehicle is in ignition movement, the 2G range is too small, so that the method is not suitable for collecting triaxial values in the running process of the vehicle, and further is not suitable for monitoring whether the vehicle has the overdriving behavior.
In view of this, after the ignition start of the vehicle, a switching instruction may be issued to the acceleration sensor so that the acceleration sensor switches its current range to the target range according to the switching instruction, and shuts down the interrupt mode for the stationary state of the vehicle. The target range may be, for example, an 8G range. The embodiment of the application does not limit specific numerical values of the target range, and the target range only needs to be wider than the range used when the vehicle is stationary.
S102: and acquiring a plurality of groups of historical triaxial values of the vehicle in a preset running time period, and determining a steady state value of the vehicle according to the plurality of groups of historical triaxial values.
And further acquiring historical triaxial values of the vehicle by using an acceleration sensor with the current range as a target range and closing an interrupt mode. Specifically, multiple groups of historical triaxial values of the vehicle are collected through the acceleration sensor in a preset running duration, so that multiple groups of historical triaxial values of the vehicle in the preset running duration can be obtained.
The specific value of the preset running duration and the number of the groups of the historical triaxial values collected in the preset running duration can be set according to actual working conditions, and the embodiment of the application is not limited. For example, the collection may be performed at intervals of a preset duration period within a preset travel duration. It can be understood that after the acceleration sensor collects multiple groups of historical triaxial values, the historical triaxial values can be reported to the electronic device for executing the driving behavior early warning method provided by the embodiment of the application, that is, the electronic device obtains the multiple groups of historical triaxial values.
Further, a steady state value of the vehicle is determined according to the obtained multiple groups of historical triaxial values, and the driving behavior early warning method of the embodiment of the application is continued after the steady state value is determined. The steady-state value is understood to be a stable historical triaxial value, which means that the change amplitude of the historical triaxial value is small, for example, in a preset range.
For example, each preset driving duration is determined according to a plurality of groups of historical triaxial values acquired in the preset driving duration, and whether the vehicle has the overdriving behavior is determined by further combining the acquired real-time triaxial values by taking the steady-state values as references. It will be appreciated that the steady state value is updated every predetermined travel time period. In the actual working condition, the updating period of the steady-state value can be controlled by setting a specific value of the preset running duration.
In one possible design, a possible implementation of determining the steady state value of the vehicle according to the sets of historical triaxial values acquired in the preset driving duration in step S102 is shown in fig. 3. Fig. 3 is a flow chart of another driving behavior early warning method according to an embodiment of the present application. As shown in fig. 3, in the driving behavior early warning method provided by the embodiment of the present application, a steady state value of a vehicle is determined according to a plurality of sets of historical triaxial values, including:
s1021: the amplitude of variation between the historical triaxial values for each adjacent group is obtained.
And in the preset running time period, a group of historical triaxial values are obtained every interval preset time period, and the change amplitude between the historical triaxial values of every two adjacent groups is obtained, namely the triaxial value difference between the historical triaxial values of every two adjacent groups is determined, so that the change amplitude between the historical triaxial values of every two adjacent groups is obtained.
S1022: it is determined whether the magnitude of the change satisfies a first preset condition.
And judging whether each obtained group of variation amplitude meets a first preset condition or not. If so, step S1023 is performed. Otherwise, if not, it indicates that the steady state value cannot be determined at present, and the change amplitude between the newly acquired historical triaxial values of each adjacent group needs to be acquired according to the newly acquired historical triaxial values, that is, step S1021 is performed.
S1023: and determining the last group of historical triaxial values in the historical triaxial values meeting the first preset condition in the preset running time as steady-state values.
And determining the last group of historical triaxial values obtained from the historical triaxial values corresponding to the variation amplitude meeting the first preset condition in the preset running time period as steady-state values, so as to determine the steady-state values according to the plurality of groups of historical triaxial values.
Alternatively, an average value of the historical triaxial values satisfying the first preset condition within the preset travel time period may also be determined as the steady-state value or the like.
Embodiments of the present application include, but are not limited to, the manner in which steady state values are determined from historical triaxial values that meet a first predetermined condition as set forth above.
According to the driving behavior early warning method provided by the embodiment of the application, whether the change amplitude between every two adjacent groups of historical triaxial values meets the first preset condition is judged, if so, the last group of historical triaxial values in the historical triaxial values meeting the first preset condition in the preset driving time period is determined to be a steady state value, so that after the steady state value is determined, whether the vehicle has an overdriving behavior is further judged, and a precondition is provided for timely finding and warning whether the vehicle has the overdriving behavior.
In one possible design, a possible implementation of step S1022 is shown in fig. 4. Fig. 4 is a flow chart of another driving behavior early warning method according to an embodiment of the present application. As shown in fig. 4, an embodiment of the present application includes:
S201: and judging whether the variation amplitude is smaller than or equal to a first preset threshold value.
And comparing the obtained variation amplitude with a first preset threshold value to judge whether the variation amplitude is smaller than or equal to the first preset threshold value. In other words, it is determined whether the magnitude of change in the historical triaxial value of each adjacent group within the preset travel time period does not exceed the first preset threshold value. If not, it indicates that the historical triaxial value within the preset running duration has small change, that is, step S202 is performed. If the historical triaxial values of each adjacent group acquired by the next preset running duration are larger in change, the change is larger, the preset control level is exceeded, and whether the change amplitude between the historical triaxial values of each adjacent group acquired by the next preset running duration is smaller than or equal to a first preset threshold value is judged again. The first preset threshold is a reference quantity in the preset control level, and the specific value of the first preset threshold is set according to the actual working condition, which is not limited in the embodiment of the application.
S202: if yes, determining a historical triaxial value with the variation amplitude smaller than or equal to a first preset threshold value as a target historical triaxial value.
After the judgment, if the judgment result is yes, namely, the variation amplitude is smaller than or equal to a first preset threshold value, the historical triaxial value with the variation amplitude smaller than or equal to the first preset threshold value is determined as a target historical triaxial value, and the steady-state value is determined from the determined target historical triaxial value. Wherein the number of target history triaxial values may be plural.
S203: and judging whether the number of the target historical triaxial values is larger than or equal to a first preset number.
Judging whether the number of the historical triaxial values determined as the target historical triaxial values exceeds a first preset number, if so, indicating that the variation amplitude accords with a preset control level, and executing step S204 to determine that the variation amplitude meets a first preset condition. Otherwise, if not, the determination result is no, which indicates that the variation amplitude does not meet the preset control level, and step S203 is performed to re-determine whether the number of the new target historical triaxial values determined in the next preset running duration is greater than or equal to the first preset number.
S204: if yes, determining that the change amplitude corresponding to the target historical triaxial value meets a first preset condition.
If the number of the target historical triaxial values exceeds the first preset number, the change amplitude corresponding to the target historical triaxial values is indicated to meet the first preset condition. The first preset condition includes the first preset threshold and the first preset number.
The driving behavior early warning method provided by the embodiment of the application judges whether the variation amplitude between the historical triaxial values of each adjacent group is smaller than or equal to the preset threshold value, judges whether the number of the historical triaxial values with the variation amplitude smaller than or equal to the first preset threshold value is larger than or equal to the first preset number, determines whether the variation amplitude meets the first preset condition according to the judging result, further determines the steady state value from the historical triaxial values corresponding to the variation amplitude meeting the first preset condition, and provides an implementation mode for determining the steady state value according to a plurality of groups of historical triaxial values.
S103: and acquiring a plurality of groups of real-time triaxial values in the running process of the vehicle.
S104: and determining whether the vehicle has the overdriving behavior according to the multiple groups of real-time triaxial values, the steady state values and the GPS information of the vehicle.
After the steady state value of the vehicle is determined, a plurality of groups of real-time three-axis values in the running process of the vehicle are obtained through the acceleration sensor, the number of the real-time three-axis values is not limited, for example, an obtaining period can be set, and a group of real-time three-axis values can be obtained at each interval of the obtaining period.
Further, comparing each acquired real-time triaxial value with a steady state value, and determining whether the vehicle has an overdriving behavior according to the comparison result and the GPS information of the vehicle, so as to determine whether the vehicle has the overdriving behavior according to the plurality of groups of real-time triaxial values, the steady state value and the GPS information of the vehicle.
For example, if the difference between the real-time three-axis value and the steady-state value exceeds a value preset in advance and lasts for a certain time, the vehicle may have an overdriving behavior. Since the three-axis value of the vehicle is greatly changed when the vehicle turns, the angle change value of the vehicle needs to be extracted from the GPS information of the vehicle to exclude whether the vehicle turns or not, and if the vehicle does not turn at this time and the speed change value of the vehicle is not zero, the vehicle can be determined to have the overdriving behavior. Wherein the speed variation value of the vehicle is obtained by extracting the speed from the GPS information of the vehicle.
If the judgment is yes, that is, if there is an overdriving behavior of the vehicle, step S105 is executed. Otherwise, if the result of the determination is no, that is, the vehicle does not have the overdriving behavior, step S103 is executed, and the real-time triaxial values of the vehicle driving process are continuously obtained, so as to continuously monitor whether the overdriving behavior exists in the vehicle.
S105: and generating driving behavior early warning information and reporting the driving behavior early warning information to a management server.
After the fact that the vehicle has the overdriving behavior in the driving process is determined, driving behavior early warning information is generated, and the driving behavior early warning information is reported to the management server, so that the management server can issue corresponding countermeasures, unexpected danger is avoided, and safe driving is guaranteed.
The driving behavior early warning information may include behavior states of the driving behavior of the vehicle, such as information of sudden acceleration or sudden deceleration, or may include any information capable of representing the current driving behavior, such as current driving road condition information, driving state information, vehicle model information, and the like, which is not limited to the embodiment of the present application.
The driving behavior early warning method provided by the embodiment of the application comprises the steps of firstly obtaining a plurality of groups of historical triaxial values of a vehicle in a preset driving time period, and determining a steady state value of the vehicle according to the plurality of groups of historical triaxial values. And further acquiring a plurality of groups of real-time triaxial values in the running process of the vehicle, and determining whether the vehicle has an overdriving behavior according to the plurality of groups of real-time triaxial values, the steady state value and the GPS information of the vehicle. If the determined vehicle has the overdriving behavior, driving behavior early warning information is generated and reported to the management server, so that the overdriving behavior of the vehicle is timely found and warned based on the triaxial values in the running process of the vehicle, unexpected danger is avoided, and safe driving of the vehicle is guaranteed.
Fig. 5 is a flow chart of another driving behavior early warning method according to an embodiment of the present application. As shown in fig. 5, the driving behavior early warning method provided by the embodiment of the application includes:
S301: after the ignition of the vehicle is started, a switching instruction is issued to the acceleration sensor, so that the acceleration sensor switches the range to a target range according to the switching instruction and closes the interrupt mode.
S302: and acquiring a plurality of groups of historical triaxial values of the vehicle in a preset running time period, and determining a steady state value of the vehicle according to the plurality of groups of historical triaxial values.
The possible implementation, principle and technical effects of step S301 and step S302 are similar to those of step S101 and step S102, and the detailed description is referred to the foregoing description and will not be repeated here.
S303: and acquiring a plurality of groups of real-time triaxial values in the running process of the vehicle.
The acceleration sensor is used for acquiring a plurality of groups of real-time triaxial values in the running process of the vehicle, the number of the real-time triaxial values is not limited, for example, an acquisition period can be set, and one group of real-time triaxial values can be acquired at each interval of the acquisition period.
S304: and obtaining a difference value between each group of real-time triaxial values and the steady-state values.
And obtaining a difference value between each group of real-time triaxial values and the steady-state values, and feeding back the change condition of the real-time triaxial values through the difference value.
S305: and judging whether each group of difference values meets a second preset condition.
Judging whether each group of difference values meets a second preset condition set in advance, if so, indicating that the vehicle possibly has an overdriving behavior, and further executing step S306 to determine whether the vehicle has the overdriving behavior. Otherwise, if not, step S303 is executed to continuously acquire the real-time triaxial values of the running process of the vehicle, so as to continuously monitor whether the vehicle has an overdriving behavior.
The second preset condition is preset in advance and is used for judging whether the real-time triaxial value of the vehicle has changed greatly and whether the generated large change is maintained for a certain time.
For example, whether the differences of the preset continuous groups are all greater than or equal to the second preset threshold may be determined, and if so, it is indicated that the differences of the corresponding preset continuous groups satisfy the second preset condition. If not, the difference value does not meet the second preset condition. The second preset threshold value is used for quantifying the variation amplitude between the real-time triaxial value and the steady-state value, and the specific value of the second preset threshold value is set according to the actual working condition. The preset continuous groups are used for representing the moments of continuous variation amplitude, and the specific values of the groups are set according to actual working conditions.
S306: and determining the real-time triaxial value of which the difference value meets the second preset condition as a target real-time triaxial value.
After the judgment, if the judgment result is yes, that is, the difference values of the preset continuous groups are all larger than or equal to the second preset threshold value, the real-time triaxial values corresponding to the difference values of the groups are determined as target real-time triaxial values, and the number of the target real-time triaxial values may be multiple. And then, the GPS information corresponding to the target real-time triaxial value is combined to exclude that the vehicle does not turn in the process and the speed change value is not zero, so as to determine whether the vehicle has an overdriving behavior, namely, executing step S307.
S307: and determining whether the vehicle has the overdriving behavior according to the GPS information corresponding to the target real-time triaxial value.
Since the three-axis value of the vehicle changes greatly when the vehicle turns, and the speed of the vehicle changes when the vehicle is in the overdrive, and when the speed change value is zero, the overdrive of the vehicle is determined to be invalid. Therefore, the angle change value and the speed change value when the vehicle possibly generates the overdriving behavior need to be calculated according to the GPS information corresponding to the target real-time three-axis value so as to eliminate the situation that the vehicle does not turn and the speed change value is not zero, thereby determining whether the vehicle really has the overdriving behavior.
After the judgment, if it is determined that the vehicle has the overdriving behavior, step S308 and step S309 are executed, otherwise, step S303 is executed to continuously acquire the real-time triaxial values of the vehicle driving process, so as to continuously monitor whether the vehicle has the overdriving behavior.
In one possible design, a possible implementation of step S307 is shown in fig. 6. Fig. 6 is a flow chart of another driving behavior early warning method provided by the embodiment of the present application, and as shown in fig. 6, the embodiment of the present application includes:
S3071: and calculating the angle change value and the speed change value of the vehicle according to the GPS information corresponding to the target real-time triaxial value.
S3072: and judging whether the angle change value is smaller than or equal to a preset angle threshold value or not and whether the speed change value is not zero or not.
S3073: if yes, determining that the vehicle has overdriving behavior.
The GPS information corresponding to the target real-time three-axis value comprises GPS information which is acquired recently twice before and after the behavior judgment time, and the behavior judgment time is the time when the real-time three-axis value corresponding to the last difference value in the preset continuous group of difference values is acquired.
By judging whether the difference value meets the second preset condition, whether the vehicle possibly has the overdriving behavior can be judged, and if so, the vehicle possibly has the overdriving behavior. Therefore, the acquisition time of the real-time triaxial value corresponding to the last difference value in the preset continuous group of difference values can be defined as the behavior judgment time, namely, the behavior judgment time is used for determining that the vehicle possibly has the overdriving behavior.
Further, the GPS information acquired two times before and after the behavior determination time is defined as the GPS information corresponding to the target real-time three-axis value, that is, the GPS information acquired last time before and last time after the behavior determination time is defined as the GPS information corresponding to the target real-time three-axis value.
Wherein, GPS information of the vehicle can be continuously acquired while the real-time triaxial value is acquired. The GPS information may be implemented by a positioning navigation function of the vehicle, which is not limited in the embodiment of the present application.
After the GPS information corresponding to the target real-time triaxial value is determined, the angles and the speeds at two corresponding moments are extracted according to the GPS information corresponding to the target real-time triaxial value, namely, the previous latest time and the next latest time are extracted according to the GPS information acquired by the last time before and the last time after the behavior judgment moment, so that the respective change values of the previous angle and the next angle and the speed, namely, the angle change value and the speed change value are calculated.
Whether the angle change value is smaller than or equal to a preset angle threshold value or not and whether the speed change value is not zero or not are further judged, if the angle change value and the speed change value are both judged to be zero, the possibility that the three-axis value changes and the overdriving behavior fails due to the fact that the vehicle turns can be eliminated, and therefore overdriving behavior of the vehicle is determined. Otherwise, if the two judging results are negative or one of the judging results is negative, the vehicle is indicated to possibly generate turning and/or overdriving behavior failure.
S308: and generating driving behavior early warning information and reporting the driving behavior early warning information to a management server.
The possible implementation, principle and technical effect of step S308 are similar to the possible implementation, principle and technical effect of step S104, and the detailed description is referred to the foregoing description and will not be repeated here.
S309: and determining the behavior state of the overdriving behavior according to the speed change value, and reporting the behavior state to the management server.
Wherein the behavior state includes a rapid acceleration state or a rapid deceleration state.
After determining that there is an overdriving behavior of the vehicle, it may be further clarified whether the overdriving behavior is a sudden acceleration or a sudden deceleration so that the management server makes an effective response.
For example, behavior states of the overdrive behavior may be determined from the speed change value, the behavior states including a rapid acceleration state or a rapid deceleration state. Specifically, if the speed change value is positive, that is, the latest speed before the behavior determination time is smaller than the latest speed after the behavior determination time, the behavior state of the overdriving behavior of the vehicle is a rapid acceleration state, in other words, the behavior state of the overdriving behavior is a rapid acceleration state. Conversely, if the speed change value is negative, that is, if the latest speed before the behavior determination time is greater than the latest speed after the behavior determination time, the behavior state of the overdrive driving behavior of the vehicle is a rapid deceleration, in other words, the behavior state of the overdrive driving behavior is a rapid deceleration state.
After the behavior state of the overdriving behavior is obtained, the behavior state is reported to the management server, so that the management server makes effective response according to the behavior state. Or the behavior state can be carried when the driving behavior early warning information is reported, and the implementation of the application is not limited.
According to the driving behavior early warning method provided by the embodiment of the application, after the steady state value is determined, the real-time three-axis value is compared with the steady state value to judge that the vehicle possibly has the overdriving behavior. And then, the possible overdriving behavior of the vehicle is further defined by combining the GPS information of the vehicle so as to eliminate the situations that the vehicle turns and the overdriving behavior fails, thereby determining whether the vehicle really has the overdriving behavior, and timely finding and warning the overdriving behavior of the vehicle based on the triaxial values in the running process of the vehicle so as to avoid the occurrence of unknown danger and ensure the safe driving of the vehicle, and meanwhile, the finding and warning accuracy of a driving behavior early warning method can be effectively improved so as to provide data support for a management server to make effective pairs.
Fig. 7 is a schematic structural diagram of a driving behavior early warning device according to an embodiment of the present application, and as shown in fig. 7, a driving behavior early warning device 400 according to an embodiment of the present application includes:
The first processing module 401 is configured to obtain a plurality of sets of historical triaxial values of the vehicle within a preset running duration, and determine a steady state value of the vehicle according to the plurality of sets of historical triaxial values;
The second processing module 402 is configured to obtain multiple sets of real-time triaxial values during the running process of the vehicle, and determine whether the vehicle has an overdriving behavior according to the multiple sets of real-time triaxial values, the steady state value and the GPS information of the vehicle;
and the third processing module 403 is configured to generate driving behavior early warning information and report the driving behavior early warning information to the management server if the vehicle has an overdriving driving behavior.
Fig. 8 is a schematic structural diagram of another driving behavior early warning device according to an embodiment of the present application, and as shown in fig. 8, the driving behavior early warning device 400 according to an embodiment of the present application further includes: a fourth processing module 404. The fourth processing module 404 is configured to:
After the ignition of the vehicle is started, a switching instruction is issued to the acceleration sensor, so that the acceleration sensor switches the range to a target range according to the switching instruction and closes an interrupt mode;
the acceleration sensor is used for collecting historical triaxial values of each group and real-time triaxial values of each group.
In one possible design, the first processing module 401 is specifically configured to:
acquiring the variation amplitude between the historical triaxial values of each adjacent group;
Determining whether the variation amplitude meets a first preset condition;
if yes, determining the last group of historical triaxial values in the historical triaxial values meeting the first preset condition in the preset running time as steady-state values.
In one possible design, the first processing module 401 is further configured to:
Judging whether the variation amplitude is smaller than or equal to a first preset threshold value;
if so, determining a historical triaxial value with the variation amplitude smaller than or equal to a first preset threshold value as a target historical triaxial value,
Judging whether the number of the target historical triaxial values is larger than or equal to a first preset number;
If yes, determining that the change amplitude corresponding to the target historical triaxial value meets a first preset condition.
In one possible design, the second processing module 402 is specifically configured to:
obtaining a difference value between each group of real-time triaxial values and steady-state values;
Judging whether each group of difference values meets a second preset condition;
And determining the real-time three-axis value of which the difference value meets a second preset condition as a target real-time three-axis value, and determining whether the vehicle has the overdriving behavior according to GPS information corresponding to the target real-time three-axis value.
In one possible design, the second processing module 402 is further configured to:
And judging whether the difference value of the preset continuous group is larger than or equal to a second preset threshold value.
In one possible design, the second processing module 402 is further configured to:
Calculating an angle change value and a speed change value of the vehicle according to GPS information corresponding to the target real-time triaxial value;
judging whether the angle change value is smaller than or equal to a preset angle threshold value or not and whether the speed change value is not zero or not;
If yes, determining that the vehicle has an overdriving behavior;
The GPS information corresponding to the target real-time three-axis value comprises GPS information which is acquired recently twice before and after the behavior judgment time, and the behavior judgment time is the time when the real-time three-axis value corresponding to the last difference value in the preset continuous group of difference values is acquired.
In one possible design, the third processing module 403 is further configured to:
and determining the behavior state of the overdriving behavior according to the speed change value, and reporting the behavior state to the management server, wherein the behavior state comprises a rapid acceleration state or a rapid deceleration state.
The driving behavior early warning device provided by the embodiment of the application can execute each step of the driving behavior early warning method in the method embodiment, and the implementation principle and the technical effect are similar, and are not repeated here.
Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 9, the electronic device 500 may include: a processor 501, and a memory 502 communicatively coupled to the processor 501.
A memory 502 for storing a program. In particular, the program may include program code including computer-executable instructions.
Memory 502 may comprise high-speed RAM memory or may also include non-volatile memory (MoM-volatile memory), such as at least one disk memory.
The processor 501 is configured to execute computer-executable instructions stored in the memory 502 to implement a driving behavior early warning method.
The processor 501 may be a central processing unit (CeMtral ProcessiMg UMit, abbreviated as CPU), or a specific integrated Circuit (ApplicatioM SPECIFIC IMTEGRATED Circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
Alternatively, the memory 502 may be separate or integrated with the processor 501. When the memory 502 is a device separate from the processor 501, the electronic device 500 may further include:
A bus 503 for connecting the processor 501 and the memory 502. The bus may be an industry standard architecture (industry standard architecture, abbreviated ISA) bus, an external device interconnect (PERIPHERAL COMPONENT, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. Buses may be divided into address buses, data buses, control buses, etc., but do not represent only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 502 and the processor 501 are integrated on a chip, the memory 502 and the processor 501 may complete communication through an internal interface.
The present application also provides a computer-readable storage medium, which may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-OMly Memory, a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like, specifically, the computer-readable storage medium stores computer-executable instructions, where the computer-executable instructions are used for each step of the method in the above embodiment.
The application also provides a computer program product comprising computer-executable instructions which, when executed by a processor, implement the steps of the method of the above embodiments.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (8)

1. A driving behavior early warning method, characterized by comprising:
Acquiring a plurality of groups of historical triaxial values of a vehicle in a preset running time period, and determining a steady state value of the vehicle according to the plurality of groups of historical triaxial values;
acquiring a plurality of groups of real-time triaxial values in the running process of the vehicle;
obtaining a difference value between each set of real-time triaxial values and the steady state value;
Judging whether each group of difference values meets a second preset condition;
Determining the real-time triaxial value of which the difference value meets the second preset condition as a target real-time triaxial value;
calculating an angle change value and a speed change value of the vehicle according to GPS information corresponding to the target real-time triaxial value;
judging whether the angle change value is smaller than or equal to a preset angle threshold value or not and whether the speed change value is not zero or not;
If yes, determining that the vehicle has an overdriving behavior;
the judging whether each group of difference values meets the second preset condition comprises the following steps:
Judging whether the difference value of the preset continuous group is larger than or equal to a second preset threshold value;
The GPS information corresponding to the target real-time three-axis value comprises GPS information which is acquired recently twice before and after a behavior judgment moment, wherein the behavior judgment moment is the moment of acquiring the real-time three-axis value corresponding to the last difference value in the preset continuous group of difference values;
if the vehicle has the overdriving behavior, driving behavior early warning information is generated, and the driving behavior early warning information is reported to a management server.
2. The driving behavior early warning method according to claim 1, characterized by further comprising, before the acquiring of the plurality of sets of historical triaxial values of the vehicle within the preset travel time period:
After the vehicle ignition is started, a switching instruction is issued to an acceleration sensor, so that the acceleration sensor switches a range to a target range according to the switching instruction and closes an interrupt mode;
The acceleration sensor is used for collecting historical triaxial values of each group and real-time triaxial values of each group.
3. The driving behavior early warning method according to claim 2, wherein the determining the steady state value of the vehicle from the plurality of sets of historical triaxial values includes:
acquiring the variation amplitude between the historical triaxial values of each adjacent group;
determining whether the variation amplitude meets a first preset condition;
If yes, determining the last group of historical triaxial values in the historical triaxial values meeting the first preset condition in the preset running duration as the steady-state value.
4. The driving behavior early warning method according to claim 3, characterized in that the determining whether the variation amplitude satisfies a first preset condition includes:
Judging whether the variation amplitude is smaller than or equal to a first preset threshold value;
If so, determining the historical triaxial value with the variation amplitude smaller than or equal to the first preset threshold value as a target historical triaxial value,
Judging whether the number of the target historical triaxial values is larger than or equal to a first preset number;
if yes, determining that the change amplitude corresponding to the target historical triaxial value meets the first preset condition.
5. The driving behavior early warning method according to claim 1, characterized by further comprising, after determining that the vehicle has the overdrive behavior:
And determining the behavior state of the overdrive behavior according to the speed change value, and reporting the behavior state to the management server, wherein the behavior state comprises a rapid acceleration state or a rapid deceleration state.
6. A driving behavior early warning device, characterized by comprising:
The first processing module is used for acquiring a plurality of groups of historical triaxial values of the vehicle in a preset running time period, and determining a steady state value of the vehicle according to the plurality of groups of historical triaxial values;
The second processing module is used for acquiring a plurality of groups of real-time triaxial values in the running process of the vehicle; obtaining a difference value between each set of real-time triaxial values and the steady state value; judging whether each group of difference values meets a second preset condition; determining the real-time triaxial value of which the difference value meets the second preset condition as a target real-time triaxial value; calculating an angle change value and a speed change value of the vehicle according to GPS information corresponding to the target real-time triaxial value; judging whether the angle change value is smaller than or equal to a preset angle threshold value or not and whether the speed change value is not zero or not; if yes, determining that the vehicle has an overdriving behavior;
The second processing module is used for judging whether the difference value of each group meets a second preset condition or not, and is specifically used for judging whether the difference value of the preset continuous group is larger than or equal to a second preset threshold value or not;
The GPS information corresponding to the target real-time three-axis value comprises GPS information which is acquired recently twice before and after a behavior judgment moment, wherein the behavior judgment moment is the moment of acquiring the real-time three-axis value corresponding to the last difference value in the preset continuous group of difference values;
And the third processing module is used for generating driving behavior early warning information and reporting the driving behavior early warning information to a management server if the vehicle has the overdriving driving behavior.
7. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
The memory stores computer-executable instructions;
The processor executes the computer-executable instructions stored in the memory to implement the driving behavior early warning method according to any one of claims 1 to 5.
8. A computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, which when executed by a processor, are configured to implement the driving behavior early warning method according to any one of claims 1 to 5.
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