CN109300278A - A kind of grade identification alarm method of vehicle collision - Google Patents
A kind of grade identification alarm method of vehicle collision Download PDFInfo
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- CN109300278A CN109300278A CN201811033418.7A CN201811033418A CN109300278A CN 109300278 A CN109300278 A CN 109300278A CN 201811033418 A CN201811033418 A CN 201811033418A CN 109300278 A CN109300278 A CN 109300278A
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- collision
- grade
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- vehicle
- angle
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/14—Systems for two-way working
- H04N7/141—Systems for two-way working between two video terminals, e.g. videophone
Abstract
The present invention relates to vehicle networking technical fields, and in particular to a kind of grade identification alarm method of vehicle collision includes the following steps: S1: the data of acquisition current driving vehicle；S2: vehicle collision grade recognition methods is established according to the data that S1 is acquired；S3: judging whether that driving accident occurs, if so, executing S4；Otherwise, the ACRA collision detection model that S2 is established is returned；S4: judging whether in the 5s after last collision, if so, executing S5；Otherwise, rank is this time collided in judgement；S5: whether judgement this time collision is higher than last collision rank, if so, judging this time collision grade；Otherwise, this collision accident is filtered；S6: different rescues is executed according to collision grade.The present invention overcomes technological deficiencies low to vehicle collision prewarning precision, failing to provide effectively rescue measure, provide a kind of grade identification alarm method of vehicle collision.
Description
Technical field
The present invention relates to vehicle networking technical fields, and in particular to a kind of grade identification alarm method of vehicle collision.
Background technique
In car networking (VehicularAd-hoc Network, VANET), the vehicle of high-speed mobile passes through wirelessly voluntarily
The form Real-Time Sharing traffic information of network is organized, drive safety is improved.With being continuously increased for vehicle guaranteeding organic quantity,
Bring frequent accidents occur therewith, seriously threaten the security of the lives and property of the people.How to traveling in road
On each vehicle obtain the safety guarantee of driving process, reduce the incidence of motor traffic accidents, become severe global
The problem of society.
The collision detection method for early warning of existing vehicle collision is mainly based upon sensor, radar and video scheme and realizes
, but currently existing scheme is difficult that the collision of generation is judged and alarmed, and can not be promoted in traffic control level whole
Level of security.And traffic accident once has occurred, driver and passenger is usually panic, is nervously fumbled, and cannot take in time
Rescue measure, so that having delayed optimal rescue opportunity, crisis is adopted to life security, namely in existing vehicle collision
Rescue measure is not prompt enough effectively.
Summary of the invention
For overcome the above-mentioned prior art vehicle collision detect early warning technology to vehicle collision judge precision it is low with
And the rescue technological deficiencies such as measure is not in place, provide a kind of grade identification alarm method of vehicle collision.
In order to solve the above technical problems, technical scheme is as follows:
A kind of grade identification alarm method of vehicle collision, includes the following steps:
S1: the data of acquisition current driving vehicle；
S2: vehicle collision grade recognition methods is established according to the data that S1 is acquired；
S3: judging whether that driving accident occurs, if so, executing S4；Otherwise, the ACRA collision detection mould that S2 is established is returned
Type；
S4: judging whether in the 5s after last collision, if so, executing S5；Otherwise, rank is this time collided in judgement；
S5: whether judgement this time collision is higher than last collision rank, if so, judging this time collision grade；Otherwise, it filters
This time collision accident；
S6: different rescues is executed according to collision grade.
S1 is the value of the acceleration using sensor acquisition in t moment transverse direction x, longitudinal direction y, perpendicular z to three directions,It will filter out the data of g≤1.55.
S2 vehicle collision grade recognition methods are as follows: the value for acquiring the g of set amount divides collision grade according to the size of g value,
The collision grade can divide are as follows: level-one collides grade, second level collision grade, three-level and collides grade, the collision grade
Divide following formula:
Wherein max_g is the maximum value in the value of the g of acquisition.
Collision grade further includes rollover, and the rollover judges according to the angle of detection rotation, as follows:
S2.1: calculating the rotation angle of starting point, using following formula:
S2.2: calculating the angle rotated at present, using following formula:
S2.3: calculating practical flip angle, using following formula:
Δ angle=| angle0-angle1|；(angle0Indicate initial position)；
S2.4: >=45 Δ angle are judged, if so, being turned on one's side；Otherwise, it does not turn on one's side；
Wherein, 45 are set the threshold to.
S6 is shown in specific step is as follows:
If colliding grade as level-one collision, initiate to rescue；
If colliding grade is second level collision, three-level collision, judge whether to collide using big data, if touching
It hits, then initiates to rescue；Otherwise, rescue early warning is initiated；
If collision grade be rollover, judge vehicle drive mileage whether be greater than 5km and turn on one's side number for continuous 3 times
More than, then rollover is reset, rescue early warning is initiated；Otherwise, rescue is initiated.
Using visualization life rescue, visualization life rescue includes terminal and TSP platform, the stream of the terminal for rescue
Steps are as follows for journey:
S6.1: start to rescue；
S6.2: crash data is uploaded；
S6.3: initialization " audio-video SDK "
S6.4: it initiates a session request；
S6.5: audio-video session is established；
S6.6: accident treatment finishes；
S6.6: terminate.
The process step of TSP platform is as follows:
S6 ' 1: Http, TCP transmission, exhibiting pictures, video, track, big data prediction are used according to S6.2；
S6 ' 2: it is transmitted, is carried out voice and video telephone state machine (IVR) by TCP, UDP according to S6.4；
S6 ' 3: it is transmitted according to S6.5 by TCP, UDP, is allocated medical care and attends a banquet；
S6 ' 4: judge whether to need to rescue；If so, tripartites' resource such as scheduling hospital, insurance；Otherwise it holds
Row S6.6.
Compared with prior art, the beneficial effect of technical solution of the present invention is:
That the present invention overcomes the prediction precisions of existing vehicle collision detection model is low, fails to provide effective rescue measure
Etc. technological deficiencies, provide a kind of grade identification alarm method of vehicle collision, provide to the pre- of vehicle collision severity
Alert analysis, and can corresponding rescue measure be provided according to the severity of collision in time.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention；
Fig. 2 is visualization life rescue flow chart of the invention.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent；
In order to better illustrate this embodiment, the certain components of attached drawing have omission, zoom in or out, and do not represent actual product
Size；
To those skilled in the art, it is to be understood that certain known features and its explanation, which may be omitted, in attached drawing
's.
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
Embodiment 1:
As shown in Figure 1, a kind of grade of vehicle collision identifies alarm method, include the following steps:
S1: the data of acquisition current driving vehicle；
S2: vehicle collision grade recognition methods is established according to the data that S1 is acquired；
S3: judging whether that driving accident occurs, if so, executing S4；Otherwise, the ACRA collision detection mould that S2 is established is returned
Type；
S4: judging whether in the 5s after last collision, if so, executing S5；Otherwise, rank is this time collided in judgement；
S5: whether judgement this time collision is higher than last collision rank, if so, judging this time collision grade；Otherwise, it filters
This time collision accident；
S6: different rescues is executed according to collision grade.
S1 be using 16G range, the sample frequency of G-Sensor be 50HZ sensor acquire t moment transverse direction x, longitudinal direction y,
The value of acceleration of the perpendicular z to three directions,Wherein the g value of every 5 samples is as a feature
The factor,The data that will filter out g≤1.55 acquire the data sample of 50 g.
S2 vehicle collision grade recognition methods are as follows: the value of 50 g of acquisition takes maximum max_g, according to maximum max_g
The size of value divides collision grade, and the collision grade can divide are as follows: level-one collision grade, second level collision grade, three-level are touched
Grade is hit, the following formula of division of the collision grade:
Collision grade further includes rollover, and the rollover judges according to the angle of detection rotation, as follows:
S2.1: calculating the rotation angle of starting point, using following formula:
S2.2: calculating the angle rotated at present, using following formula:
S2.3: calculating practical flip angle, using following formula:
Δ angle=| angle0-angle1|；(angle0Indicate initial position)；
S2.4: >=45 Δ angle are judged, if so, being turned on one's side；Otherwise, it does not turn on one's side.
S6 is shown in specific step is as follows:
If colliding grade as level-one collision, initiate to rescue；
If colliding grade is second level collision, three-level collision, judge whether to collide using big data, if touching
It hits, then initiates to rescue；Otherwise, rescue early warning is initiated；If colliding grade is rollover, judge whether vehicle drive mileage is greater than
5km and the number turned on one's side are continuous 3 times or more, then reset rollover, initiate rescue early warning；Otherwise, rescue is initiated.
Using visualization life rescue, visualization life rescue includes terminal and TSP platform, the stream of the terminal for rescue
Steps are as follows for journey:
S6.1: start to rescue；
S6.2: crash data is uploaded；
S6.3: initialization " audio-video SDK "
S6.4: it initiates a session request；
S6.5: audio-video session is established；
S6.6: accident treatment finishes；
S6.6: terminate.
The process step of TSP platform is as follows:
S6 ' 1: Http, TCP transmission, exhibiting pictures, video, track, big data prediction are used according to S6.2；
S6 ' 2: it is transmitted, is carried out voice and video telephone state machine (IVR) by TCP, UDP according to S6.4；
S6 ' 3: it is transmitted according to S6.5 by TCP, UDP, is allocated medical care and attends a banquet；
S6 ' 4: judge whether to need to rescue；If so, tripartites' resource such as scheduling hospital, insurance；Otherwise S6.6 is executed.
The terms describing the positional relationship in the drawings are only for illustration, should not be understood as the limitation to this patent；
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (7)
1. a kind of grade of vehicle collision identifies alarm method, which is characterized in that described method includes following steps:
S1: the data of acquisition current driving vehicle；
S2: vehicle collision grade recognition methods is established according to the data that S1 is acquired；
S3: judging whether that driving accident occurs, if so, executing S4；Otherwise, the ACRA collision detection model that S2 is established is returned；
S4: judging whether in the 5s after last collision, if so, executing S5；Otherwise, rank is this time collided in judgement；
S5: whether judgement this time collision is higher than last collision rank, if so, judging this time collision grade；Otherwise, it filters this time
Collision accident；
S6: different rescues is executed according to collision grade.
2. the grade of vehicle collision according to claim 1 identifies alarm method, which is characterized in that the S1 is using biography
The value of acceleration of the sensor acquisition in t moment transverse direction x, longitudinal direction y, perpendicular z to three directions,Incited somebody to action
Filter the data of g≤1.55.
3. the grade of vehicle collision according to claim 2 identifies alarm method, which is characterized in that the S2 vehicle collision
Grade recognition methods are as follows: the value for acquiring the g of set amount divides collision grade according to the size of g value, and the collision grade can be drawn
Be divided into: level-one collides grade, second level collision grade, three-level collision grade, the following formula of division of the collision grade:
Wherein max_g is the maximum value in the value of the g of acquisition.
4. the grade of vehicle collision according to claim 3 identifies alarm method, which is characterized in that the collision grade is also wrapped
Rollover is included, the rollover judges according to the angle of detection rotation, as follows:
S2.1: calculating the rotation angle of starting point, using following formula:
S2.2: calculating the angle rotated at present, using following formula:
S2.3: calculating practical flip angle, using following formula:
Δ angle=| angle0-angle1|；(angle0Indicate initial position)；
S2.4: Δ angle >=threshold value is judged, if so, being turned on one's side；Otherwise, it does not turn on one's side.
5. the grade of vehicle collision according to claim 4 identifies alarm method, which is characterized in that the specific step of the S6
It is rapid as follows:
If colliding grade as level-one collision, initiate to rescue；
If colliding grade is second level collision, three-level collision, judge whether to collide using big data, if colliding,
Initiate rescue；Otherwise, rescue early warning is initiated；
If collision grade be rollover, judge vehicle drive mileage whether be greater than 5km and turn on one's side number for continuous 3 times with
On, then rollover is reset, rescue early warning is initiated；Otherwise, rescue is initiated.
6. the grade of vehicle collision according to claim 5 identifies alarm method, which is characterized in that the rescue uses can
Depending on changing life rescue, visualization life rescue includes terminal and TSP platform, and the process step of the terminal is as follows:
S6.1: start to rescue；
S6.2: crash data is uploaded；
S6.3: initialization " audio-video SDK "
S6.4: it initiates a session request；
S6.5: audio-video session is established；
S6.6: accident treatment finishes；
S6.6: terminate.
7. the grade of vehicle collision according to claim 6 identifies alarm method, which is characterized in that the TSP platform
Process step is as follows:
S6 ' 1: Http, TCP transmission, exhibiting pictures, video, track, big data prediction are used according to S6.2；
S6 ' 2: it is transmitted, is carried out voice and video telephone state machine (IVR) by TCP, UDP according to S6.4；
S6 ' 3: it is transmitted according to S6.5 by TCP, UDP, is allocated medical care and attends a banquet；
S6 ' 4: judge whether to need to rescue；If so, tripartites' resource such as scheduling hospital, insurance；Otherwise S6.6 is executed.
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| CN201811033418.7A CN109300278A (en) | 2018-09-05 | 2018-09-05 | A kind of grade identification alarm method of vehicle collision |
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| CN201811033418.7A CN109300278A (en) | 2018-09-05 | 2018-09-05 | A kind of grade identification alarm method of vehicle collision |
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| CN108099919A (en) * | 2017-11-09 | 2018-06-01 | 珠海格力电器股份有限公司 | Preventing vehicle rollover method for early warning, device, storage medium and vehicle |
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2018
- 2018-09-05 CN CN201811033418.7A patent/CN109300278A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1177549A (en) * | 1996-09-20 | 1998-04-01 | 三菱电机株式会社 | Device for detecting collision of vehicle and device for judging starting of passenger protection device |
| CN108122371A (en) * | 2016-11-29 | 2018-06-05 | 比亚迪股份有限公司 | Vehicle help-asking system, vehicle-mounted emergency device and vehicle |
| US9934625B1 (en) * | 2017-01-31 | 2018-04-03 | Uber Technologies, Inc. | Detecting vehicle collisions based on moble computing device data |
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Application publication date: 20190201 |