CN109367507B - Safety system management device and management method - Google Patents
Safety system management device and management method Download PDFInfo
- Publication number
- CN109367507B CN109367507B CN201811105723.2A CN201811105723A CN109367507B CN 109367507 B CN109367507 B CN 109367507B CN 201811105723 A CN201811105723 A CN 201811105723A CN 109367507 B CN109367507 B CN 109367507B
- Authority
- CN
- China
- Prior art keywords
- vehicle
- collision
- information
- system management
- threshold value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R21/013—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over
- B60R21/0132—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over responsive to vehicle motion parameters, e.g. to vehicle longitudinal or transversal deceleration or speed value
Abstract
The embodiment of the invention discloses a safety system management device and a safety system management method, belongs to the field of automobile collision safety, and can record accident information when an automobile is collided so as to improve the accuracy of accident reconstruction. The safety system management device comprises an information acquisition module, a central processing unit and a storage module; the information acquisition module is used for acquiring vehicle state information; the central processing unit is used for analyzing and calculating the vehicle state information to obtain an analysis result and judging whether the vehicle is collided according to the analysis result; the storage module is used for storing the vehicle state information when the vehicle is in collision. The invention is suitable for safety protection and accident information recording when the automobile is collided.
Description
Technical Field
The invention relates to the field of automobile collision safety, in particular to a safety system management device and a safety system management method.
Background
The existing automobile collision safety system mainly comprises a safety system management module, a pre-tightening safety belt module, an air bag module and the like. When the vehicle is in collision, the safety system management module starts a vehicle safety system to protect a driver and passengers.
However, the existing automobile collision safety system cannot record the vehicle track after the actual traffic accident happens, needs to manually collect the relevant information of the traffic accident scene, and has the characteristic of low accuracy.
Disclosure of Invention
In view of this, embodiments of the present invention provide a management apparatus and a management method for a safety system, which can record accident information when a vehicle collides, so as to improve the accuracy of accident reconstruction.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a security system management apparatus, including an information acquisition module, a central processing unit, and a storage module; the information acquisition module is used for acquiring vehicle state information; the central processing unit is used for analyzing and calculating the vehicle state information to obtain an analysis result and judging whether the vehicle is collided according to the analysis result; the storage module is used for storing the vehicle state information when the vehicle is in collision.
Optionally, the central processing unit is further configured to determine whether the collision strength exceeds a preset collision strength when the vehicle collides.
Optionally, the information acquisition module includes a first acquisition submodule, where the first acquisition submodule includes an acceleration sensor and a pressure sensor, or one of the acceleration sensor and the pressure sensor, and is used to acquire collision information of a vehicle.
Optionally, the information acquisition module includes a second acquisition submodule connected to the vehicle body network through the CAN bus, which acquires information of the vehicle body network, transmits the information to the central processing unit, and transmits the vehicle state information acquired by the information acquisition module to the CAN bus.
Optionally, the information acquisition module includes a third acquisition submodule, and the third acquisition submodule includes a driver detection sensor and a safety belt state detection sensor, and is configured to acquire driver information and safety belt state information.
Optionally, the analysis result includes a collision discrimination value.
Optionally, the determining whether the vehicle collides according to the analysis result includes: presetting a first threshold value, and judging the magnitude relation between a collision judgment value and the first threshold value; if the collision judgment value is smaller than or equal to the first threshold value, judging that the vehicle is not collided; and if the collision judgment value is larger than the first threshold value, judging that the vehicle collides.
Optionally, the determining whether the collision strength exceeds the preset collision strength includes presetting a second threshold, and determining a size relationship between the collision judgment value and the second threshold; if the collision judgment value is smaller than or equal to the second threshold value, judging that the vehicle collision strength does not exceed the preset collision strength; and if the collision judgment value is larger than the second threshold value, judging that the vehicle collision strength exceeds the preset collision strength.
Optionally, the storing the vehicle state information includes: the vehicle state information stored by the storage module at least comprises data of the first 5s and the later 200ms of the starting point of the collision event; the starting point of the collision event is the time when the central processing unit judges that the vehicle collides.
Optionally, the information stored in the storage module further includes the analysis result.
In a second aspect, an embodiment of the present invention provides a method for managing a security system, including acquiring vehicle status information; analyzing and calculating the vehicle state information to obtain an analysis result; judging whether the vehicle is collided or not according to the analysis result; if the vehicle is in collision, the vehicle state information is stored.
Optionally, when the vehicle collides, it is determined whether the collision strength exceeds a preset collision strength.
Optionally, the vehicle state information includes acceleration information and pressure information, or one of the acceleration information and the pressure information.
Optionally, the vehicle state information further includes vehicle body network data.
Optionally, the vehicle status information further includes driver information and seat belt status information.
Optionally, the analysis result includes a collision discrimination value.
Optionally, the determining whether the vehicle collides according to the analysis result includes: presetting a first threshold value, and judging the magnitude relation between a collision judgment value and the first threshold value; if the collision judgment value is smaller than or equal to the first threshold value, judging that the vehicle is not collided; and if the collision judgment value is larger than the first threshold value, judging that the vehicle collides.
Optionally, the determining whether the collision strength exceeds the preset collision strength includes: presetting a second threshold value, and judging the magnitude relation between the collision judgment value and the second threshold value; if the collision judgment value is smaller than or equal to the second threshold value, judging that the vehicle collision strength does not exceed the preset collision strength; and if the collision judgment value is larger than the second threshold value, judging that the vehicle collision strength exceeds the preset collision strength.
Optionally, the storing the vehicle state information includes: the vehicle state information stored by the storage module at least comprises data of the first 5s and the later 200ms of the starting point of the collision event; the starting point of the collision event is the time when the vehicle is judged to be collided.
Optionally, the analysis result is also stored when the vehicle is in collision.
According to the management device and the management method for the safety system, provided by the embodiment of the invention, after the vehicle state information is collected, the vehicle state information is analyzed and calculated to obtain the analysis result information, whether the vehicle is collided or not is judged according to the analysis result information, and if the vehicle is collided, the vehicle state information is stored. According to the embodiment, accident data can be recorded when the vehicle is collided, and the accuracy of accident reconstruction is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a security system management apparatus according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of an information acquisition module according to a first embodiment of the present invention;
fig. 3 is a flowchart illustrating a security system management method according to a second embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in fig. 1, an embodiment of the present invention provides a security system management device, which includes an information acquisition module 1, a central processing unit 2, and a storage module 3; wherein the content of the first and second substances,
the information acquisition module 1 is used for acquiring vehicle state information;
the central processing unit 2 is used for analyzing and calculating the vehicle state information to obtain analysis result information, and judging whether the vehicle is collided according to the analysis result information;
the storage module 3 is used for storing vehicle state information when the vehicle is in collision.
In this embodiment, the safety system management device analyzes and calculates the vehicle state information after acquiring the vehicle state information to obtain analysis result information, determines whether the vehicle is in collision according to the analysis result information, and stores the vehicle state information in the storage module 3 if the vehicle is in collision. In the embodiment, accident data can be recorded when the vehicle is collided, and the accuracy of accident reconstruction is improved.
Optionally, the central processing unit 2 is further configured to determine whether the collision strength exceeds a preset collision strength when the vehicle collides.
In this embodiment, the central processing unit 2 determines the collision strength when the vehicle collides, and when the collision strength exceeds the preset collision strength, the central processing unit 2 may output a corresponding signal to the airbag module and the pre-tightening seat belt module, so that the airbag module releases the airbag, and the pre-tightening seat belt module pre-tightens the seat belt, thereby achieving the effect of protecting drivers and passengers.
Optionally, the storage module 3 may store the vehicle state information according to whether the collision strength exceeds a preset collision strength, including:
the central processing unit 2 detects the storage space of the storage module 3;
if the storage space is sufficient, directly storing the vehicle state information;
if the storage space is insufficient, the data when the collision strength does not exceed the preset collision strength before the current data is covered is applied, and the data is executed according to the time sequence strictly, namely the data which is firstly stored in the storage unit 3 is covered firstly; but the data when the previously recorded impact strength exceeds the preset impact strength should not be overwritten by the data of the subsequent impact.
As an alternative, it is set that the storage module 3 can store accident data (i.e. vehicle state information when the vehicle collides) three times or more; when the collision strength of the vehicle does not exceed the preset collision strength, the central processing unit 2 detects the storage space of the storage module 3, if the storage space is sufficient, the storage module 3 directly stores accident data, and if the storage space is insufficient, the current data is used for covering the accident data which is firstly stored in the storage unit 3 and does not exceed the preset collision strength; when the collision strength of the vehicle exceeds the preset collision strength, the central processing unit 2 detects the storage space of the storage module 3, if the storage space is sufficient, the storage module 3 directly stores accident data, and if the storage space is insufficient, the current data is used for covering the accident data which is firstly stored in the storage unit 3 and does not exceed the preset collision strength, and the recording is stopped.
Therefore, after a traffic accident occurs, the accident data is recorded in the storage module 3, so that the accuracy of accident reconstruction can be improved, an accident responsible party cannot easily forge an accident scene, and a powerful auxiliary effect on tracing the traffic accident is achieved.
Optionally, as shown in fig. 2, the information acquisition module 1 includes a first acquisition submodule 11, where the first acquisition submodule 11 includes an acceleration sensor and a pressure sensor, or one of the acceleration sensor and the pressure sensor, and is configured to acquire collision information of a vehicle.
In this embodiment, acceleration information or pressure information of the vehicle is collected through an acceleration sensor and a pressure sensor, or one of the acceleration sensor and the pressure sensor, and is used for detecting the severity of the collision of the vehicle.
Optionally, as shown in fig. 2, the information acquisition module 1 includes a second acquisition submodule 12, where the second acquisition submodule 12 is connected to the vehicle body network through the CAN bus, acquires information of the vehicle body network, transmits the information to the central processing unit 2, and transmits the vehicle state information acquired by the information acquisition module 1 to the CAN bus.
In this embodiment, the airbag control device communicates with the vehicle body network through the CAN bus, acquires state information such as a steering wheel, an accelerator, a brake, and an ABS from the vehicle body network, and stores the information acquired from the vehicle body network into the storage module 3 when a vehicle collides, which is advantageous to reestablish the state of the vehicle when an accident occurs. In addition, the airbag control device CAN also output the vehicle state information acquired by the information acquisition module 1 to a vehicle body network through a CAN bus, so that the airbag control device and the vehicle body network share information.
Optionally, the CAN bus is connected to a data reading interface, and the data stored in the storage module 3 CAN be read through the interface, that is, the central processing unit 2 uploads the data in the storage module 3 to the upper computer software after receiving the data reading instruction. The reading of accident data is facilitated.
Optionally, as shown in fig. 2, the information collection module 1 includes a third collection submodule 13, and the third collection submodule 13 includes an occupant detection sensor and a seat belt state detection sensor, and is configured to collect occupant information and seat belt state information.
In this embodiment, after the vehicle starts, the third gathers submodule, 13 gathers whether there is the passenger on main driver's seat and the copilot position, and detect whether the safety belt that corresponds on main driver's seat and the copilot position is fastened well, and give central processing unit 2 with driver and crew's information and safety belt status information transmission, central processing unit judges whether the safety belt that corresponds on having the seat of passenger is fastened well, if the safety belt is not fastened well, central processing unit 2 outputs corresponding signal for the instrument desk module, the instrument desk module shows this state, and remind the passenger to fasten the safety belt.
Optionally, the analysis result includes a collision discrimination value.
In this embodiment, the information collecting module 1 collects an original acceleration signal a0(t), the actual acceleration of the vehicle;
the analysis result comprises:
(1) original acceleration signal a0(t) a by Butterworth filtering1(t)；
(2) To a1(t) y [ t ] by moving window integration]，
W is window width, and the size of the window width can be preset;
(3) speed: v (t) ═ a1(t)d(t)；
(4) Specific powerRate: p (t) ═ a1(t)2+ V (t) J (t), J (t) is a pair of1(t) deriving;
(5)a2(t)：
calculating coefficient b by least square method0...bn：a0(t)＝b0+b1*t+b2*t2……..+bn*tn；
Using b obtained above0...bnAnd (3) value calculation: a is2(t)＝b0+b1*t+b2*t2……..+bn*tn。
Where n is a number based on2(t) and acceleration signal a0(t) the degree of curve matching depends on the actual analysis algorithm formula, and the value of n is a specific value set in advance.
(6) Collision discrimination value: a ═ k ═ y (t)n1+j*p(t)n2+h*a1(t)n3+d*V(t)n4+b*a2(t)n5Wherein: k is (0 to 100), j is (0 to 1), h is (0 to 100), d is (0 to 10), b is (0 to 1), n1 is (-5 to 5), n2 is (-5 to 5), n3 is (-5 to 5), n4 is (-5 to 5), and n5 is (-5 to 5). In the algorithm formula, the values of the coefficients are preset, and different coefficient values can be selected according to different safety system management devices and the characteristics of vehicles provided with the safety system management devices.
Optionally, the determining whether the vehicle collides according to the analysis result includes:
presetting a first threshold value, and judging the magnitude relation between a collision judgment value and the first threshold value;
if the collision judgment value is smaller than or equal to the first threshold value, the vehicle is not collided;
and if the collision judgment value is larger than the first threshold value, the vehicle collides.
In this embodiment, the first threshold value that best meets the occurrence of the collision may be set according to experimental verification in advance or according to national laws and regulations and a third-party evaluation system, and an appropriate coefficient value may be selected according to the characteristics of the safety system management device and the vehicle on which the safety system management device is installed in the calculation formula of the collision determination value a 1. Therefore, during the running process of the vehicle, the central controller can analyze and calculate the collision judgment value A1 in real time and compare the collision judgment value A1 with a preset first threshold value, if the collision judgment value A1 is smaller than or equal to the first threshold value, the vehicle is not collided, and if the collision judgment value A1 is larger than the first threshold value, the vehicle is collided.
Optionally, the determining whether the collision strength exceeds the preset collision strength includes,
presetting a second threshold value, and judging the magnitude relation between the collision judgment value and the second threshold value;
if the collision judgment value is smaller than or equal to the second threshold value, the vehicle collision strength does not exceed the preset collision strength;
and if the collision judgment value is larger than the second threshold value, the vehicle collision strength exceeds the preset collision strength.
In this embodiment, the second threshold value may be set according to experimental verification in advance or according to national laws and regulations and a third-party evaluation system, and an appropriate coefficient value may be selected in the calculation formula of the collision determination value a2 according to the characteristics of the safety system management device and the vehicle on which the safety system management device is installed. It should be understood that the selection values of the coefficients in the calculation formula of the collision determination value a2 may be different from the selection values of the coefficients used for determining whether a collision occurs.
Therefore, during the running process of the vehicle, the collision judgment value A2 can be analyzed and calculated in real time, the collision judgment value A2 is compared with the second threshold value, if the collision judgment value A2 is smaller than or equal to the second threshold value, the collision strength of the vehicle does not exceed the preset collision strength, and if the collision judgment value A2 is larger than the second threshold value, the collision strength of the vehicle exceeds the preset collision strength.
Optionally, the storing the vehicle state information includes:
the vehicle state information stored by the storage module at least comprises data of the first 5s and the later 200ms of the starting point of the collision event;
the starting point of the collision event is the time when the central processing unit judges that the vehicle collides.
In the embodiment, the data of 5s before the starting point of the collision event is recorded in order to record the running state of the vehicle before the collision event occurs and judge whether the vehicle runs in violation; the data of 200ms after the start of the crash event is recorded in order to record the running state of the vehicle after the crash.
It is understood that the recording time period of the vehicle state information may be adaptively adjusted according to actual needs or laws and regulations.
Optionally, the information stored in the storage module 3 further includes the analysis result information.
In this embodiment, storing the analysis result information of the central processing unit 2 in the storage module 3 is beneficial to reconstructing the state of the vehicle when an accident occurs.
Alternatively, the cpu 2 may output a corresponding signal to an engine control module or a BMS (battery management system) according to whether the vehicle has collided and whether the collision strength exceeds a preset collision strength.
In the embodiment, the corresponding signals are output to the corresponding management modules according to the states of the vehicles, so that the dangers that the engine or the motor of the vehicle is not controlled to work or the power circuit of the vehicle per se is short-circuited and the like when the vehicle is in an accident are reduced.
Optionally, the safety system management device further includes a pre-tightening safety belt module, and at the moment of collision of the vehicle, when the passenger does not have to move forward greatly, the central processing unit 2 outputs a corresponding signal to the pre-tightening safety belt module, and the pre-tightening safety belt module tensions the safety belt in advance, so that the forward movement amount of the passenger in the collision process is effectively reduced, and the collision between the passenger and the interior trim is reduced.
Example two
As shown in fig. 3, an embodiment of the present invention provides a security system management method, including,
collecting vehicle state information;
analyzing and calculating the vehicle state information to obtain analysis result information;
judging whether the vehicle is collided or not according to the analysis result information;
if the vehicle is in collision, the vehicle state information is stored.
In this embodiment, after the vehicle state information is collected, the vehicle state information is analyzed and calculated to obtain analysis result information, whether the vehicle collides is determined according to the analysis result information, and if the vehicle collides, the vehicle state information is stored. According to the embodiment, accident data can be recorded when the vehicle is collided, and the accuracy of accident reconstruction is improved.
Optionally, when the vehicle collides, it is determined whether the collision strength exceeds a preset collision strength.
In this embodiment, when the collision strength exceeds the preset collision strength, a corresponding signal can be output to the airbag module and the pre-tightening safety belt module, so that the airbag module releases the safety airbag, and the pre-tightening safety belt module pre-tightens the safety belt, thereby achieving the effect of protecting drivers and passengers.
Optionally, the vehicle state information may be stored in a classification according to whether the collision strength exceeds a preset collision strength, including:
detecting a storage space;
if the storage space is sufficient, directly storing the vehicle state information;
if the storage space is insufficient, the data when the collision strength does not exceed the preset collision strength before the current data is covered is applied, and the data is executed strictly according to the time sequence, namely the data stored firstly is covered firstly; but the data when the previously recorded impact strength exceeds the preset impact strength should not be overwritten by the data of the subsequent impact.
As an alternative, the stored accident data (i.e., the vehicle state information when the vehicle collides) may be set up to three times or more; when the collision strength of the vehicle does not exceed the preset collision strength, detecting a storage space, directly storing accident data if the storage space is sufficient, and covering the accident data which is stored firstly and does not exceed the preset collision strength with the current data if the storage space is insufficient; and when the collision strength of the vehicle exceeds the preset collision strength, detecting the storage space, directly storing accident data if the storage space is sufficient, covering the accident data which is stored firstly and does not exceed the preset collision strength with the current data if the storage space is insufficient, and stopping recording.
Therefore, after a traffic accident occurs, the accident data is recorded, so that the accuracy of accident reconstruction can be improved, an accident responsible party cannot easily forge an accident site, and a powerful auxiliary effect is played for tracing the traffic accident.
Optionally, the vehicle state information includes acceleration information and pressure information, or one of the acceleration information and the pressure information.
In this embodiment, the acceleration information and the pressure information are used to detect the severity of the collision of the automobile.
Optionally, the vehicle state information further includes vehicle body network data.
In this embodiment, state information of, for example, a steering wheel, an accelerator, a brake, an ABS, and the like is acquired from a vehicle body network, and the information acquired from the vehicle body network is stored when a vehicle collides, which is advantageous to reestablishing a state of the vehicle when an accident occurs.
Optionally, the vehicle status information further includes driver information and seat belt status information.
In this embodiment, after the vehicle starts, whether passengers are in the main driving seat and the assistant driving seat or not is acquired, whether the corresponding safety belts in the main driving seat and the assistant driving seat are fastened or not is detected, whether the corresponding safety belts in the seats with the passengers are fastened or not is judged according to the information of the drivers and passengers and the state information of the safety belts, if the safety belts are not fastened, corresponding signals are output to the instrument desk module, and the instrument desk module displays the state and reminds the passengers of fastening the safety belts.
Optionally, the analysis result includes a collision discrimination value.
In this embodiment, the acceleration information in the vehicle state information is an original acceleration signal a0(t), the actual acceleration of the vehicle;
the analysis result comprises:
(1) original acceleration signal a0(t) a by Butterworth filtering1(t)；
(2) To a1(t) y [ t ] by moving window integration]，
W is window width, and the size of the window width can be preset;
(3) speed: v (t) ═ a1(t)d(t)；
(4) Specific power: p (t) ═ a1(t)2+ V (t) J (t), J (t) is a pair of1(t) deriving;
(5)a2(t)：
calculating coefficient b by least square method0...bn：a0(t)＝b0+b1*t+b2*t2……..+bn*tn；
Using b obtained above0...bnAnd (3) value calculation: a is2(t)＝b0+b1*t+b2*t2……..+bn*tn。
Where n is a number based on2(t) and acceleration signal a0(t) the degree of curve matching depends on the actual analysis algorithm formula, and the value of n is a specific value set in advance.
(6) Collision discrimination value: a ═ k ═ y (t)n1+j*p(t)n2+h*a1(t)n3+d*V(t)n4+b*a2(t)n5Wherein: k is (0 to 100), j is (0 to 1), h is (0 to 100), d is (0 to 10), b is (0 to 1), n1 is (-5 to 5), n2 is (-5 to 5), n3 is (-5 to 5), n4 is (-5 to 5), and n5 is (-5 to 5). In the algorithm formula, the values of the coefficients are preset, and different coefficient values can be selected according to different safety system management devices and the characteristics of vehicles provided with the safety system management devices.
Optionally, the determining whether the vehicle collides according to the analysis result includes:
presetting a first threshold value, and judging the magnitude relation between a collision judgment value and the first threshold value;
if the collision judgment value is smaller than or equal to the first threshold value, the vehicle is not collided;
and if the collision judgment value is larger than the first threshold value, the vehicle collides.
In this embodiment, the first threshold value that best meets the occurrence of the collision may be set according to experimental verification in advance or according to national laws and regulations and a third-party evaluation system, and an appropriate coefficient value may be selected according to the characteristics of the safety system management device and the vehicle on which the safety system management device is installed in the calculation formula of the collision determination value a 1. Therefore, during the running of the vehicle, the collision judgment value A1 can be analyzed and calculated in real time, the collision judgment value A1 is compared with a preset first threshold value, if the collision judgment value A1 is smaller than the first threshold value, the vehicle is not collided, and if the collision judgment value A1 is larger than or equal to the first threshold value, the vehicle is collided.
Optionally, the determining whether the collision strength exceeds the preset collision strength includes:
presetting a second threshold value, and judging the magnitude relation between the collision judgment value and the second threshold value;
if the collision judgment value is smaller than or equal to the second threshold value, the vehicle collision strength does not exceed the preset collision strength;
and if the collision judgment value is larger than the second threshold value, the vehicle collision strength exceeds the preset collision strength.
In this embodiment, the second threshold value may be set according to experimental verification in advance or according to national laws and regulations and a third-party evaluation system, and an appropriate coefficient value may be selected in the calculation formula of the collision determination value a2 according to the characteristics of the safety system management device and the vehicle on which the safety system management device is installed. It should be understood that the selection values of the coefficients in the calculation formula of the collision determination value a2 may be different from the selection values of the coefficients used for determining whether a collision occurs.
Therefore, during the running process of the vehicle, the collision judgment value A2 can be analyzed and calculated in real time, the collision judgment value A2 is compared with the second threshold value, if the collision judgment value A2 is smaller than or equal to the second threshold value, the collision strength of the vehicle does not exceed the preset collision strength, and if the collision judgment value A2 is larger than the second threshold value, the collision strength of the vehicle exceeds the preset collision strength.
Optionally, the storing the vehicle state information includes:
the vehicle state information stored by the storage module at least comprises data of the first 5s and the later 200ms of the starting point of the collision event;
the starting point of the collision event is the time when the vehicle is judged to be collided.
In the embodiment, the data of 5s before the starting point of the collision event is recorded in order to record the running state of the vehicle before the collision event occurs and judge whether the vehicle runs in violation; the data of 200ms after the start of the crash event is recorded in order to record the running state of the vehicle after the crash.
It is understood that the recording time of the vehicle state information may be adaptively adjusted according to actual needs or local regulations.
Optionally, the analysis result information is further stored when the vehicle collides.
In this embodiment, the storage of the analysis result information is beneficial to reconstruction of the state of the vehicle when an accident occurs.
Alternatively, a corresponding signal is output to an engine control module or a BMS (battery management system) according to whether the vehicle has collided and whether the intensity of the collision exceeds a preset collision intensity.
In the embodiment, the corresponding signals are output to the corresponding management modules according to the states of the vehicles, so that the dangers that the engine or the motor of the vehicle is not controlled to work or the power circuit of the vehicle per se is short-circuited and the like when the vehicle is in an accident are reduced.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (16)
1. A security system management apparatus characterized by: the system comprises an information acquisition module, a central processing unit and a storage module; wherein the content of the first and second substances,
the information acquisition module is used for acquiring vehicle state information;
the central processing unit is used for analyzing and calculating the vehicle state information to obtain an analysis result and judging whether the vehicle is collided according to the analysis result; the analysis result comprises a collision judgment value; the collision discrimination value is determined according to the following steps:
(1) original acceleration signal a0(t) a by Butterworth filtering1(t); wherein a is0(t) the actual acceleration of the vehicle collected by the information collection module;
(2) to a1(t) y [ t ] by moving window integration]，
W is window width, and the size of the window width can be preset;
(3) speed: v (t) ═ a1(t)d(t)；
(4) Specific power: p (t) ═ a1(t)2+ V (t) J (t), J (t) is a pair of1(t) deriving;
(5)a2(t)：
calculating coefficient b by least square method0...bn：a0(t)＝b0+b1*t+b2*t2……..+bn*tn；
Using b obtained above0...bnAnd (3) value calculation: a is2(t)＝b0+b1*t+b2*t2……..+bn*tn；
Where n is a number based on2(t) and acceleration signal a0(t) the curve matching degree is determined, and the value of n in the actual analysis algorithm formula is a preset specific value;
(6) collision discrimination value: a ═ k ═ y (t)n1+j*p(t)n2+h*a1(t)n3+d*V(t)n4+b*a2(t)n5Wherein: k ═ k: (0～100)，j＝(0～1)，h＝(0～100)，d＝(0～10)，b＝(0～1)，n1＝(-5～5)，n2＝(-5～5)，n3＝(-5～5)，n4＝(-5～5)，n5＝(-5～5)；
The storage module is used for storing vehicle state information when the vehicle is in collision; the storing of the vehicle state information includes: the vehicle state information stored by the storage module at least comprises data of the first 5s and the later 200ms of the starting point of the collision event; the starting point of the collision event is the time when the central processing unit judges that the vehicle collides.
2. A security system management apparatus according to claim 1, wherein: and the central processing unit is also used for judging whether the collision strength exceeds the preset collision strength when the vehicle collides.
3. A security system management apparatus according to claim 1, wherein: the information acquisition module comprises a first acquisition submodule, wherein the first acquisition submodule comprises an acceleration sensor and a pressure sensor, or one of the acceleration sensor and the pressure sensor and is used for acquiring collision information of a vehicle.
4. A security system management apparatus according to claim 1, wherein: the information acquisition module comprises a second acquisition submodule which is connected with the automobile body network through the CAN bus, acquires the information of the automobile body network, transmits the information to the central processing unit, and transmits the vehicle state information acquired by the information acquisition module to the CAN bus.
5. A security system management apparatus according to claim 1, wherein: the information acquisition module comprises a third acquisition submodule, and the third acquisition submodule comprises a driver detection sensor and a safety belt state detection sensor and is used for acquiring driver information and safety belt state information.
6. A security system management apparatus according to claim 1, wherein: the judging whether the vehicle collides according to the analysis result includes:
presetting a first threshold value, and judging the magnitude relation between a collision judgment value and the first threshold value;
if the collision judgment value is smaller than or equal to the first threshold value, judging that the vehicle is not collided;
and if the collision judgment value is larger than the first threshold value, judging that the vehicle collides.
7. A security system management apparatus according to claim 2, wherein: the determining whether the collision strength exceeds the preset collision strength includes,
presetting a second threshold value, and judging the magnitude relation between the collision judgment value and the second threshold value;
if the collision judgment value is smaller than or equal to the second threshold value, judging that the vehicle collision strength does not exceed the preset collision strength;
and if the collision judgment value is larger than the second threshold value, judging that the vehicle collision strength exceeds the preset collision strength.
8. A security system management apparatus according to claim 1, wherein: the information stored by the storage module also includes the analysis result.
9. A security system management method characterized by: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
collecting vehicle state information;
analyzing and calculating the vehicle state information to obtain an analysis result; the analysis result comprises a collision judgment value; the analysis result is according to the following process: the method comprises the following steps:
(1) original acceleration signal a0(t) a by Butterworth filtering1(t); wherein a is0(t) the actual acceleration of the vehicle collected by the information collection module;
(2) to a1(t) y [ t ] by moving window integration]，
W is window width, and the size of the window width can be preset;
(3) speed: v (t) ═ a1(t)d(t)；
(4) Specific power: p (t) ═ a1(t)2+ V (t) J (t), J (t) is a pair of1(t) deriving;
(5)a2(t)：
calculating coefficient b by least square method0...bn：a0(t)＝b0+b1*t+b2*t2……..+bn*tn；
Using b obtained above0...bnAnd (3) value calculation: a is2(t)＝b0+b1*t+b2*t2……..+bn*tn；
Where n is a number based on2(t) and acceleration signal a0(t) the curve matching degree is determined, and the value of n in the actual analysis algorithm formula is a preset specific value;
(6) collision discrimination value: a ═ k ═ y (t)n1+j*p(t)n2+h*a1(t)n3+d*V(t)n4+b*a2(t)n5Wherein: k is (0 to 100), j is (0 to 1), h is (0 to 100), d is (0 to 10), b is (0 to 1), n1 is (-5 to 5), n2 is (-5 to 5), n3 is (-5 to 5), n4 is (-5 to 5), and n5 is (-5 to 5);
judging whether the vehicle is collided or not according to the analysis result;
if the vehicle is collided, storing the vehicle state information; the storing of the vehicle state information includes: the vehicle state information stored by the storage module at least comprises data of the first 5s and the later 200ms of the starting point of the collision event; and judging the time when the vehicle collides at the starting point of the collision event.
10. A security system management method as defined in claim 9, wherein: when the vehicle collides, whether the collision strength exceeds a preset collision strength is judged.
11. A security system management method as defined in claim 9, wherein: the vehicle state information includes acceleration information and pressure information, or one of the acceleration information and the pressure information.
12. A security system management method as defined in claim 9, wherein: the vehicle state information also includes body network data.
13. A security system management method as defined in claim 9, wherein: the vehicle status information also includes occupant information and seat belt status information.
14. A security system management method as defined in claim 9, wherein: the judging whether the vehicle collides according to the analysis result includes:
presetting a first threshold value, and judging the magnitude relation between a collision judgment value and the first threshold value;
if the collision judgment value is smaller than or equal to the first threshold value, judging that the vehicle is not collided;
and if the collision judgment value is larger than the first threshold value, judging that the vehicle collides.
15. A security system management method as defined in claim 10, wherein: the judging whether the collision strength exceeds the preset collision strength includes:
presetting a second threshold value, and judging the magnitude relation between the collision judgment value and the second threshold value;
if the collision judgment value is smaller than or equal to the second threshold value, judging that the vehicle collision strength does not exceed the preset collision strength;
and if the collision judgment value is larger than the second threshold value, judging that the vehicle collision strength exceeds the preset collision strength.
16. A security system management method as defined in claim 10, wherein: the analysis result is also stored when the vehicle collides.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811105723.2A CN109367507B (en) | 2018-09-20 | 2018-09-20 | Safety system management device and management method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811105723.2A CN109367507B (en) | 2018-09-20 | 2018-09-20 | Safety system management device and management method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109367507A CN109367507A (en) | 2019-02-22 |
| CN109367507B true CN109367507B (en) | 2021-10-15 |
Family
ID=65401552
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811105723.2A Active CN109367507B (en) | 2018-09-20 | 2018-09-20 | Safety system management device and management method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109367507B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112200935A (en) * | 2020-09-29 | 2021-01-08 | 广州小鹏汽车科技有限公司 | Data processing method and device |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1126675A (en) * | 1994-09-27 | 1996-07-17 | 日产柴油机车工业株式会社 | Vehicle collosion prevention device |
| CN1384008A (en) * | 2001-05-04 | 2002-12-11 | 俞学东 | Event recording system and method |
| CN101443228A (en) * | 2006-03-29 | 2009-05-27 | 富士通微电子株式会社 | Recording apparatus and method |
| CN101634857A (en) * | 2008-07-24 | 2010-01-27 | 株式会社万都 | Gateway control apparatus for vehicles and travel information recording method thereof |
| CN104908694A (en) * | 2015-05-15 | 2015-09-16 | 深圳市赛格导航科技股份有限公司 | System for traveling track identification and data acquisition device of system |
| KR20150117561A (en) * | 2014-04-10 | 2015-10-20 | (주)아이피앤 | System and method for sensing collision of automotive |
| CN107339997A (en) * | 2016-05-03 | 2017-11-10 | 现代自动车株式会社 | The path planning apparatus and method of autonomous vehicle |
| CN108290537A (en) * | 2015-06-22 | 2018-07-17 | 奥克托信息技术股份公司 | Collision for traffic events diagnoses |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000025659A (en) * | 1998-07-15 | 2000-01-25 | Matsushita Electron Corp | Collision image recording device |
| JP2009032143A (en) * | 2007-07-30 | 2009-02-12 | Seiko Epson Corp | Drive recorder, drive recorder system, method for controlling drive recorder, and program |
| CN202294652U (en) * | 2011-11-04 | 2012-07-04 | 深圳市华盈泰科技有限公司 | Automatic recourse safety device in case of vehicle impact |
| CN105096543B (en) * | 2015-08-24 | 2017-10-03 | 中国电子科技集团公司第二十九研究所 | A kind of vehicular rescue method and system based on drive recorder |
| US9922471B2 (en) * | 2016-05-17 | 2018-03-20 | International Business Machines Corporation | Vehicle accident reporting system |
| CN107031552A (en) * | 2017-02-24 | 2017-08-11 | 深圳市保千里电子有限公司 | A kind of car crass detection method and system |
-
2018
- 2018-09-20 CN CN201811105723.2A patent/CN109367507B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1126675A (en) * | 1994-09-27 | 1996-07-17 | 日产柴油机车工业株式会社 | Vehicle collosion prevention device |
| CN1384008A (en) * | 2001-05-04 | 2002-12-11 | 俞学东 | Event recording system and method |
| CN101443228A (en) * | 2006-03-29 | 2009-05-27 | 富士通微电子株式会社 | Recording apparatus and method |
| CN101634857A (en) * | 2008-07-24 | 2010-01-27 | 株式会社万都 | Gateway control apparatus for vehicles and travel information recording method thereof |
| KR20150117561A (en) * | 2014-04-10 | 2015-10-20 | (주)아이피앤 | System and method for sensing collision of automotive |
| CN104908694A (en) * | 2015-05-15 | 2015-09-16 | 深圳市赛格导航科技股份有限公司 | System for traveling track identification and data acquisition device of system |
| CN108290537A (en) * | 2015-06-22 | 2018-07-17 | 奥克托信息技术股份公司 | Collision for traffic events diagnoses |
| CN107339997A (en) * | 2016-05-03 | 2017-11-10 | 现代自动车株式会社 | The path planning apparatus and method of autonomous vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109367507A (en) | 2019-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108372785B (en) | Image recognition-based automobile unsafe driving detection device and detection method | |
| CN107284355B (en) | A kind of Safety vehicle door unlatching processing method and system | |
| CN109910904B (en) | Driving behavior and vehicle driving posture recognition system | |
| JP5824702B2 (en) | Driving behavior detection method and apparatus | |
| US7868771B2 (en) | Doze-off warning apparatus for vehicle | |
| US7162345B2 (en) | Vehicle accident analyzing apparatus | |
| CN112319491B (en) | Safe driving early warning method and system | |
| CN1642782A (en) | Device for the protection of a vehicle occupant | |
| SG188578A1 (en) | Vehicle behavior analysis device, vehicle behavior analysis program and drive recorder | |
| US9156421B2 (en) | Method and control unit for controlling an occupant protection means of a vehicle | |
| US7912605B2 (en) | Method and device for triggering a reversible occupant protection function in a motor vehicle | |
| Correia et al. | Utilizing data from automotive event data recorders | |
| WO2005012047A1 (en) | Passenger protection device for a vehicle, and method for triggering a passenger protection device for a vehicle for prematurely identifying a critical driving situation | |
| CN109367507B (en) | Safety system management device and management method | |
| CN203005341U (en) | Airbag ignition control system of automobile | |
| CN107221046A (en) | Vehicle-running recording system, driving recording method and automobile | |
| CN112660064B (en) | Method and device for controlling safety belt in vehicle, computer equipment and storage medium | |
| CN109334600B (en) | Safety system control device and control method | |
| JP2006341843A (en) | Classification method for collision incident | |
| US7672767B2 (en) | Method and device for controlling an occupant protection device in a vehicle | |
| WO2017014081A1 (en) | Injury assessment device | |
| Gabler et al. | Evaluation of advanced air bag deployment algorithm performance using event data recorders | |
| CN115892031A (en) | Method and system for adjusting safety posture of automobile passenger | |
| CN210310315U (en) | Automobile driving safety performance improving assembly | |
| CN107685631A (en) | A kind of gas is stepped on by mistake prevents control system and its control method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information |
Inventor after: Xie Shugang Inventor before: Xie Shugang Inventor before: Chen Wu |
|
| CB03 | Change of inventor or designer information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |