CN111319634A - Automobile control method and system - Google Patents
Automobile control method and system Download PDFInfo
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- CN111319634A CN111319634A CN202010168806.7A CN202010168806A CN111319634A CN 111319634 A CN111319634 A CN 111319634A CN 202010168806 A CN202010168806 A CN 202010168806A CN 111319634 A CN111319634 A CN 111319634A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/10—Interpretation of driver requests or demands
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
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- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses an automobile control method, which comprises the following steps: s1, collecting brain wave signals of a user; s2, processing the brain wave signals, comparing the processed brain wave signals with a brain wave signal library, and analyzing control information of a user; s3, searching a corresponding CAN ID control instruction according to the control information; and S4, controlling the corresponding unit module of the automobile to work according to the CAN ID control instruction. The invention also discloses an automobile control system adopting the method. The invention controls the unit module of the automobile to work with high precision and high time efficiency by identifying the control consciousness of the user.
Description
Technical Field
The invention relates to the technical field of automobile control, in particular to an automobile control method and an automobile control system.
Background
Electroencephalograms (EEG) are spontaneous and rhythmic electrical activities of brain cell populations recorded by electrodes, contain a large amount of physiological and pathological information, and are one of the methods for examining the function of the nervous system. The electroencephalogram reflects the electrical activity of brain tissue and various functional states of the brain, the basic characteristics of which include amplitude, period, phase, etc.
The current man-machine interaction control mode develops to more intellectualization and convenience from the traditional key control and the like, and particularly, the video and action analysis can not meet the requirements in some control scenes which need high precision and high timeliness. Therefore, as the research on the relationship between the brain wave signals and consciousness has progressed, people pay attention to how to classify the brain wave signals quickly and accurately according to different thinking tasks, so as to realize human-computer interaction control.
Disclosure of Invention
The invention provides an automobile control method and system for solving the problems, and the method and system are used for controlling the unit modules of the automobile to work with high precision and high time efficiency by identifying the control consciousness of a user.
In order to achieve the purpose, the invention adopts the technical scheme that:
a method of controlling an automobile, comprising the steps of:
s1, collecting brain wave signals of a user;
s2, processing the brain wave signals, comparing the processed brain wave signals with a brain wave signal library, and analyzing control information of a user;
s3, searching a corresponding CAN ID control instruction according to the control information;
s4, controlling the unit module corresponding to the automobile to work according to the CAN ID control instruction;
the step S2 further includes a step S21, where the electroencephalogram signal is quantized into a numerical audio signal through a/D, N data are collected, the sampling sequence x (N) is regarded as a sequence with limited energy, a discrete fourier transform of x (N), which is x (k), is obtained through calculation, the square of the amplitude of x (k) is taken, and/N is divided as a true frequency spectrum of x (N), and a frequency-time waveform diagram and a frequency response waveform diagram of the electroencephalogram are obtained through the finite sequence fourier transform, and are used as comparison signals to be compared with the electroencephalogram signal library, where N and k are positive integers, N is not greater than N, and k is not greater than N-1.
Preferably, the brain wave signal library includes an emergency control signal and a general control signal, and the step S2 further includes a step S22. after the comparison signal is compared with the brain wave signal library, it is determined that the type of the comparison signal is the emergency control signal or the general control signal, and the specific control information.
Preferably, the brain wave signal library includes at least one user brain wave signal library.
Based on the same inventive concept, the invention also provides an automobile control system adopting the method, which comprises a brain wave acquisition module, a brain wave input module, a brain wave analysis module, a CAN analysis module and an automobile control module.
Preferably, the brain wave input module comprises a wireless transmission receiver, and the wireless transmission receiver is wirelessly connected with the brain wave acquisition module.
Preferably, the CAN analysis module includes a first CAN analysis module and a second CAN analysis module.
Preferably, the brain wave analysis module includes an emergency control information output interface and a general control information output interface.
More preferably, the emergency control system further comprises an alarm module, and the alarm module is connected with the emergency control information output interface.
The invention has the beneficial effects that:
(1) the control consciousness of the user is directly identified through brain wave signals, and corresponding automobile module control is performed, so that the identification speed is high, and the accuracy is high;
(2) establishing a personal user brain wave signal library for each user to ensure that the control consciousness of the user can be identified;
(3) the first CAN analysis module and the second CAN analysis module CAN respectively search CAN ID control instructions, and simultaneously control the automobile to realize different actions, so that the operation load of the CAN analysis module is reduced;
(4) corresponding automobile control can be preferentially carried out according to the emergency control signal, and the safety of a user is guaranteed.
Drawings
Fig. 1 is a schematic structural diagram of an automobile control system according to an embodiment of the present invention;
fig. 2 is a flowchart of an automobile control method according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention clearer and more obvious, the present invention is further described in detail with reference to specific embodiments below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1 to 2, the present embodiment provides an automobile control system, which is installed on an automobile, and an adopted automobile control method includes the following steps:
s1, collecting brain wave signals of a user. The user wears an electrode cap and other collecting devices provided with brain wave collecting modules on the head to collect the brain waves of the user in real time. The acquisition process comprises the steps of amplifying brain wave signals and A/D quantizing the brain wave signals into numerical audio signals.
And S2, the acquisition device transmits the converted signals wirelessly, receives the signals by a wireless transmission receiver of the brain wave input module, transmits the signals to the brain wave analysis module, and compares the signals with a brain wave signal library. Before using the system, a frequency-time waveform diagram and a frequency response waveform diagram of electroencephalograms corresponding to the automobile control consciousness of a user are stored in an electroencephalogram analysis module in advance to form an electroencephalogram signal library. When the user generates the consciousness of controlling the automobile, the corresponding brain wave signal is generated.
Since brain wave signals generated by each person are different, it is necessary to establish a user brain wave signal library for each user, and perform matching operation on the user and the system before use, so that the system can recognize the control consciousness of the user.
In this embodiment, the brain wave input module, the brain wave analysis module and the CAN analysis module are packaged on a single chip.
And S3, the brain wave analysis module analyzes the time domain and the frequency of the acquired signals by adopting an algorithm of fast Fourier transform, acquires N data to form a sampling sequence x (N), takes the sampling sequence as a sequence with limited energy, and calculates the discrete Fourier transform of the sampling sequence as X (k). Taking the square of the amplitude of X (k) and dividing by/n to be used as the real frequency spectrum of x (n), and carrying out finite sequence Fourier transform on the real frequency spectrum, wherein the formula is as follows:
because the energy calculated in the time domain of one sequence is equal to the energy calculated in the frequency domain, the relationship between the power corresponding to each frequency spectrum and the power measured in the time domain, namely the frequency-time oscillogram and the frequency response oscillogram of the brain wave can be obtained and used as a comparison signal to be compared with a brain wave signal library to analyze the control information of a user, such as the temperature regulation of an automobile air conditioner, the braking and the like.
And S4, judging the type of the brain wave signal and specific control information. The system sets control information such as brake and accelerator control as emergency control information, sets control signals such as air conditioning regulation and sound regulation as common control information, and classifies and stores corresponding brain wave signals in a brain wave signal library. When the brain wave analysis module analyzes the emergency control information, the corresponding control information is output to the CAN analysis module through the emergency control information output interface, and meanwhile, the signal output of the common control information output interface is shielded.
And S5, the electroencephalogram analysis module outputs the analyzed control information to the CAN analysis module, and the CAN analysis module finds out the corresponding CAN ID control instruction. The single chip microcomputer is connected to the automobile control module through a serial port to send control instructions.
The prior automobile mainly drives the unit modules respectively connected with the automobile K-CAN module and the automobile D-CAN module to work through the automobile K-CAN module and the automobile D-CAN module respectively. The CAN analysis module comprises a first CAN analysis module and a second CAN analysis module, CAN ID control instructions corresponding to control information of the automobile K-CAN module and the automobile D-CAN module are searched through the first CAN analysis module and the second CAN analysis module respectively, and the sharing of the operation amount CAN be realized. And when the control instruction corresponding to the automobile K-CAN module is found out, the automobile K-CAN module is started through the first CAN analysis module and the control instruction is sent, and vice versa. Therefore, the system CAN realize that the K-CAN module and the automobile D-CAN module respectively control the corresponding unit modules to perform different actions simultaneously, such as adjusting the height of the seat and the volume of the sound equipment.
And S6, according to the control instruction, the automobile K-CAN module and the automobile D-CAN module respectively control the corresponding unit modules to work.
An example of a portion of the vehicle control operation is given below.
1. When the brain wave signal analysis is brake control information, the first CAN analysis module starts the automobile K-CAN module according to the corresponding control instruction, the driving Hall signal analysis module respectively controls the brake Hall sensor to output a brake signal to the automobile, and meanwhile, the signal output of the throttle Hall sensor is shielded, so that the situation that a user steps on the throttle by mistake in an emergency situation is avoided.
2. When the brain wave signal is analyzed as seat adjusting control information, the first CAN analysis module starts the automobile K-CAN module according to the corresponding control instruction, and drives the seat adjusting module to correspondingly adjust the front-back distance, the height, the backrest angle and the like of the seat.
3. When the brain wave signals are analyzed as sound adjusting control information, the second CAN analysis module starts the automobile D-CAN module according to the corresponding control instruction, and drives the sound adjusting module to correspondingly control the sound to increase or decrease the volume, switch songs and the like.
And S6, according to the control instruction, the automobile K-CAN module and the automobile D-CAN module respectively control the corresponding unit modules to work.
In video recognition and motion recognition, these recognition systems determine the control intention of a user by expression or motion, which are expressions of consciousness conducted to a part such as the face through nerves. The system of the invention directly identifies the control consciousness of the user through the brain wave signal, has no time lag for the reaction of the human, and has higher identification accuracy.
Since the system of the present invention recognizes brain wave signals, it is reliable particularly in mental fatigue detection of a user. When brain wave signals of mental fatigue are identified, the system outputs control information through the emergency control information output interface to control the automobile to run at a low speed, and meanwhile, the warning module is started to control the seat to vibrate and the sound equipment to play warning words so as to remind a user to stop at the side for a rest and avoid accidents.
Those skilled in the art will understand that all or part of the steps in the above method embodiments may be implemented by a program to instruct related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, etc.) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the above description shows and describes the preferred embodiments of the present invention, it is to be understood that the invention is not limited to the forms disclosed herein, but is not to be construed as excluding other embodiments and is capable of use in various other combinations, modifications, and environments and is capable of changes within the scope of the inventive concept as expressed herein, commensurate with the above teachings, or the skill or knowledge of the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. A vehicle control method is characterized by comprising the following steps:
s1, collecting brain wave signals of a user;
s2, processing the brain wave signals, comparing the processed brain wave signals with a brain wave signal library, and analyzing control information of a user;
s3, searching a corresponding CAN ID control instruction according to the control information;
s4, controlling the unit module corresponding to the automobile to work according to the CAN ID control instruction;
the step S2 further includes a step S21, where the electroencephalogram signal is quantized into a numerical audio signal through a/D, N data are collected, the sampling sequence x (N) is regarded as a sequence with limited energy, a discrete fourier transform of x (N), which is x (k), is obtained through calculation, the square of the amplitude of x (k) is taken, and/N is divided as a true frequency spectrum of x (N), and a frequency-time waveform diagram and a frequency response waveform diagram of the electroencephalogram are obtained through the finite sequence fourier transform, and are used as comparison signals to be compared with the electroencephalogram signal library, where N and k are positive integers, N is not greater than N, and k is not greater than N-1.
2. The car control system according to claim 1, wherein the brain wave signal base includes an emergency control signal and a general control signal, and step S2 further includes step S22. after the comparison signal is compared with the brain wave signal base, it is determined whether the type of the brain wave signal base is the emergency control signal or the general control signal, and the specific control information.
3. The vehicle control system according to claim 1, wherein the brain wave signal library includes at least one user brain wave signal library.
4. A vehicle control system using the method according to any one of claims 1 to 3, comprising a brain wave acquisition module, a brain wave input module, a brain wave analysis module, a CAN analysis module, and a vehicle control module.
5. The vehicle control system according to claim 4, wherein the brain wave input module includes a wireless transmission receiver, and the wireless transmission receiver is wirelessly connected with the brain wave acquisition module.
6. The vehicle control system of claim 4, wherein the CAN analysis module comprises a first CAN analysis module and a second CAN analysis module.
7. The vehicle control system according to claim 4, wherein the electroencephalogram analysis module includes an emergency control information output interface and a general information output interface.
8. The vehicle control system of claim 7, further comprising an alert module, the alert module being coupled to the emergency control information output interface.
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| CN202010168806.7A CN111319634A (en) | 2020-03-12 | 2020-03-12 | Automobile control method and system |
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| CN202010168806.7A CN111319634A (en) | 2020-03-12 | 2020-03-12 | Automobile control method and system |
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Application publication date: 20200623 |