CN110706547A

CN110706547A - Examination feedback method and device for VR school bus

Info

Publication number: CN110706547A
Application number: CN201910826965.9A
Authority: CN
Inventors: 吴迪炜; 曾师; 马胜蓝
Original assignee: Xiamen You Ren Mdt Infotech Ltd; FUJIAN BAIXIN INFORMATION TECHNOLOGY Co Ltd
Current assignee: Xiamen You Ren Mdt Infotech Ltd; FUJIAN BAIXIN INFORMATION TECHNOLOGY Co Ltd
Priority date: 2019-09-03
Filing date: 2019-09-03
Publication date: 2020-01-17

Abstract

The invention provides an examination feedback method of a VR (virtual reality) school bus, which comprises the steps of S1, receiving a simulation examination request initiated by a user terminal, and opening an examination item corresponding to an examination subject by a VR school bus system according to the simulation examination request; step S2, receiving the operation executed by the vehicle learning user according to the examination item, and controlling the VR vehicle learning machine to execute the corresponding feedback operation according to the executed operation; and step S3, monitoring and acquiring operation data executed by the trainee according to the examination items, and simultaneously, carrying out examination scoring on the trainee by the VR trainee according to the operation data and generating a simulated examination result. The invention also provides a system corresponding to the method. The invention has the advantages that: the function of carrying out the simulation examination in a VR mode is well realized, and the vertigo reaction of the student in the process of the simulation examination can be effectively avoided.

Description

Examination feedback method and device for VR school bus

Technical Field

The invention relates to the field of VR driving test training, in particular to an examination feedback method and device for a VR school bus.

Background

By utilizing the VR learning vehicle, the land occupation (social resources), the student time (time resources) and the potential safety hazard (government resources) can be effectively reduced, so that the driving test is standardized, and the guarantee is provided for the next generation of intelligent traffic.

The existing driving training mainly comprises the following three modes: firstly, the driving training of an actual field is adopted, and the corresponding sensors are installed on the field for examination, so that the method needs great land occupation and is not suitable for areas with short land; secondly, a corresponding camera, a GPS and the like are installed on an actual vehicle to carry out specific road training, but the mode is limited by the requirement of standard examination field planning, and still occupies a large land; and thirdly, the virtual driving training is completed by adopting a VR mode, and the mode has the advantage of minimum land occupation. VR technology is a computer simulation technology that can create and experience virtual worlds, and it can generate an interactive three-dimensional dynamic view by computers, and its simulation system of physical behavior can immerse users in the environment.

However, the existing VR trainee product can only realize some simpler simulation training operations, but cannot realize the simulation examination of specific subjects at all, and cannot feed back the operation of the trainee, so that the trainee is easy to feel dizzy. If the application date is 2016.10.31, the Chinese invention patent with the application number of 201610929503.6 discloses a VR school bus system for motor vehicle driver training, the system provides a simulation system and a seat lower installation movement device, part of driving training can be transferred indoors, and the effects of automobile acceleration, deceleration, impact and bump can be simulated according to the output of an automobile dynamic model; however, VR analog examination and operation feedback functions cannot be implemented.

Disclosure of Invention

The invention aims to solve the technical problem of providing an examination feedback method and system for a VR school bus, which can be used for realizing the simulation examination in a VR mode and avoiding dizzy reaction in the process of the simulation examination.

The invention is realized by the following steps: a method of exam feedback for a VR trainee, the method comprising:

step S1, receiving a simulated examination request initiated by a user terminal, and opening an examination item corresponding to an examination subject by the VR school bus system according to the simulated examination request;

step S2, receiving the operation executed by the vehicle learning user according to the examination item, and controlling the VR vehicle learning machine to execute the corresponding feedback operation according to the executed operation;

and step S3, monitoring and acquiring operation data executed by the trainee according to the examination items, and simultaneously, carrying out examination scoring on the trainee by the VR trainee according to the operation data and generating a simulated examination result.

Further, the step S1 is specifically:

receiving a simulation examination request initiated by a user terminal in a WeChat code scanning mode, and transmitting a micro-signal ID of the user terminal to a VR school bus system by a VR client according to the simulation examination request; the VR school bus system judges whether the current course learning progress of the recorded micro-signal ID meets the simulation examination condition, and if the current course learning progress of the micro-signal ID meets the simulation examination condition, the VR school bus system opens the examination items corresponding to the examination subjects; if not, the examination item corresponding to the examination subject is not opened, and the process is ended.

Further, in step S2, the controlling VR trainee machine to execute the corresponding feedback operation according to the executed operation is specifically:

when a learner-driven vehicle user treads a clutch of the VR learner-driven vehicle to perform semi-linkage, receiving the numerical value of the clutch collected by a clutch sensor in real time, triggering and starting an engine sound audio by a VR simulation system when the collected numerical value reaches a preset first threshold value, transmitting a signal to each electric cylinder at the bottom of the VR learner-driven vehicle, and linking the VR learner-driven vehicle to perform shaking through the electric cylinders; when the acquired numerical value reaches a preset second threshold value, the VR simulation system sets that the vehicle has a forward speed, transmits a signal to an electric cylinder at the front end of the bottom of the VR learning vehicle and enables the electric cylinder at the front end to rise by a preset height;

in the process of controlling the vehicle running of the vehicle learning user, when the position of the vehicle changes, the VR simulation system transmits a corresponding signal to the VR vehicle learning machine and controls the VR vehicle learning machine to execute a corresponding action; the method specifically comprises the following steps:

when the vehicle turns left, the VR simulation system transmits a left-turning signal to a seat left-right moving mechanism of the VR learning machine, and drives the seat to move left through the seat left-right moving mechanism;

when the vehicle turns right, the VR simulation system transmits a right-turning signal to a seat left-right moving mechanism of the VR learning machine, and drives the seat to move right through the seat left-right moving mechanism;

when the vehicle returns, the VR simulation system transmits a return signal to a seat left-right moving mechanism of the VR learning machine, and drives the seat to return through the seat left-right moving mechanism;

when the vehicle goes up a slope, the VR simulation system transmits a slope-going signal to the electric cylinder at the front end of the bottom of the VR baby carriage, and the electric cylinder at the front end is lifted upwards;

when the vehicle goes downhill, the VR simulation system transmits a downhill signal to an electric cylinder at the rear end of the bottom of the VR baby carriage, and the electric cylinder at the rear end is lifted upwards;

when the vehicle is on uneven ground, the VR simulation system transmits an uneven ground signal to each electric cylinder at the bottom of the VR student vehicle, and each electric cylinder is lifted or lowered according to the position height of the ground;

when the vehicle returns to the flat ground, the VR simulation system transmits a flat ground signal to each electric cylinder at the bottom of the VR student vehicle and enables each electric cylinder to be recovered to be at the same height;

when the vehicle brakes and suddenly stops, the VR simulation system transmits a brake sudden stop signal to a seat front-back moving mechanism of the VR learning machine, and drives the seat to move forwards and backwards firstly within a preset time period through the seat front-back moving mechanism.

Further, in step S3, if the examination subject is subject two, the monitoring and acquiring operation data executed by the vehicle-learning user according to the examination item specifically includes:

when a vehicle learning user executes a starting operation on a vehicle according to an examination item, the VR vehicle learning system monitors and acquires starting operation data executed by the vehicle learning user in real time;

when a vehicle learning user executes the vehicle backing and warehousing operation on the vehicle according to the examination items, the VR vehicle learning system monitors and acquires the backing and warehousing operation data executed by the vehicle learning user in real time;

when a vehicle learning user executes curve driving operation on a vehicle according to the examination items, the VR vehicle learning system monitors and acquires curve driving operation data executed by the vehicle learning user in real time;

when a learner-driven vehicle user executes the right-angle turning operation on the vehicle according to the examination items, the VR learner-driven vehicle system monitors and acquires the right-angle turning operation data executed by the learner-driven vehicle user in real time;

when a vehicle-learning user executes a side parking operation on a vehicle according to the examination items, the VR vehicle-learning system monitors and acquires the side parking operation data executed by the vehicle-learning user in real time;

when a vehicle learning user executes the hill start operation on the vehicle according to the examination item, the VR vehicle learning system monitors and acquires the hill start operation data executed by the vehicle learning user in real time;

if the examination subject is subject three, the monitoring and acquiring the operation data executed by the vehicle-learning user according to the examination item specifically comprises the following steps:

when a vehicle learning user executes the parking operation on the vehicle near the side according to the examination items, the VR vehicle learning system monitors in real time and acquires the data of the parking operation executed by the vehicle learning user near the side;

when a vehicle learning user executes lane changing straight-going operation on a vehicle according to an examination item, a VR vehicle learning system monitors in real time and acquires lane changing straight-going operation data executed by the vehicle learning user;

when a school bus user executes school area passing operation on a bus according to an examination item, the VR school bus system monitors in real time and acquires school area passing operation data executed by the school bus user;

when a vehicle-learning user executes intersection passing operation on a vehicle according to an examination item, the VR vehicle-learning system monitors and acquires intersection passing operation data executed by the vehicle-learning user in real time;

when a vehicle learning user executes the turning operation on the vehicle according to the examination item, the VR vehicle learning system monitors and acquires the turning operation data executed by the vehicle learning user in real time;

when the vehicle learning user executes the urban traffic mixed operation on the vehicle according to the examination item, the VR vehicle learning system monitors in real time and acquires the urban traffic mixed operation data executed by the vehicle learning user.

Further, in step S3, if the examination subject is subject two, the step of performing examination scoring on the trainee user by the VR trainee system according to the operation data specifically includes:

VR school bus system judges according to the start operation data whether school bus user's start operation is correct, includes at least: judging whether the gear of a gear shifter of the VR vehicle learning machine is in a neutral gear state before the engine is ignited, and judging whether a brake is in a braking state and a parking brake is in a pulling-up state; judging whether a clutch of the VR motorcycle learning machine is stepped to the bottom, whether a brake is in a braking state, whether a parking brake is in a releasing state and whether a gear of a gear shifter is in a first-gear-engaging state before the semi-linkage starting; judging whether the speed of the vehicle is increased to a set vehicle speed threshold value after the semi-linkage is started; if the starting operation is correct, obtaining a corresponding test score; if the starting operation is wrong, deducting the corresponding test score;

the VR school bus system judges whether the backing and warehousing operation of the school bus user is correct according to the backing and warehousing operation data, and at least comprises the following steps: judging whether the gear of a gear shifter of the VR vehicle learning machine is in a reverse gear engaging state or not in the process of backing up and warehousing; judging whether the vehicle is in a set first software warning area or not after parking in a warehouse; judging whether the gear of a gear shifter of the VR vehicle learning machine is in a first gear engaging state and whether the vehicle drives out to a set garage-out position in the garage-out process; judging whether the vehicle is parked and exceeds the set parking time in the process of backing up and warehousing and in the process of leaving; if the backing and warehousing operation is correct, obtaining a corresponding test score; if the operation of backing a car and putting in storage is wrong, deducting the corresponding test score;

the VR school bus system judges whether the curve driving operation of the school bus user is correct according to the curve driving operation data, and at least comprises the following steps: judging whether the vehicle is in a set second software warning area or not in the curve driving process; judging whether the vehicle is stopped and exceeds the set stopping time in the curve driving process; judging whether the vehicle runs to a set curve running end position or not when the curve running is ended;

VR learner-driven vehicle system judges according to quarter turn operation data whether the quarter turn operation of learner-driven vehicle user is correct, includes at least: judging whether the vehicle is in a set third software warning area or not in the process of turning at right angle; judging whether the vehicle is parked and exceeds the set parking time in the process of the quarter turn; judging whether the vehicle runs to a set right-angle turning end position or not when the right-angle turning is ended; if the right-angle turning operation is correct, obtaining a corresponding test score; if the right-angle turning operation is wrong, deducting corresponding test scores;

VR car learning system judges according to side parking operation data whether the side parking operation of car learning user is correct, includes at least: judging whether the gear of a gear shifter of the VR vehicle learning machine is in a reverse gear engaging state or not in the process of backing a vehicle; judging whether the vehicle is in a set fourth software warning area or not after parking in a warehouse; judging whether the gear of a gear shifter of the VR vehicle learning machine is in a first gear engaging state and whether the vehicle drives out to a set garage-out position in the garage-out process; judging whether the vehicle is parked and exceeds the set parking time in the process of warehousing and in the process of leaving; if the side parking operation is correct, obtaining a corresponding test score; if the side parking operation is wrong, deducting the corresponding test score;

VR learner-driven vehicle system judges according to the hill start operation data whether the hill start operation of learner-driven vehicle user is correct, includes at least: judging whether a brake of the VR vehicle learning machine is in a braking state after the vehicle stops on a half slope, whether the vehicle is in a set fifth software warning area, and whether the front end of the vehicle is in a set warning line; judging whether a parking brake of the VR learning machine is in a pulled-up state or not within a preset time after the semi-slope is stopped; judging whether a clutch of the VR vehicle learning machine is stepped to the bottom, whether a brake is in a braking state, whether a parking brake is in a releasing state and whether a gear of a gear shifter is in a first-gear-engaging state before the start of the semi-slope semi-linkage; judging whether the vehicle is flameout or not in the process of semi-slope semi-linkage starting; judging whether the vehicle advances to a set hill start ending position or not after the hill semi-linkage is started; if the hill start operation is correct, obtaining a corresponding test score; if the hill start operation is wrong, deducting the corresponding test score;

if the examination subject is subject three, the VR school bus system scores the school bus user according to the examination of the operation data, and specifically comprises the following steps:

VR learner-driven vehicle system judges according to the operation data of keeping close to the side that the operation of keeping close to the side parking of learner-driven vehicle user is whether correct, includes at least: judging whether the VR vehicle learning machine turns on a right steering lamp or not in the process of parking along the side, and operating a steering wheel to the right to enable the vehicle to change lanes along the side correctly; judging whether a gear of a VR vehicle learning machine is hung to a neutral gear within a set time threshold value, whether a parking brake is in a pulling-up state, whether a clutch and a brake are in a non-treading state and whether a right steering lamp is turned off after the VR vehicle learning machine stops along the side; if the parking operation is correct, obtaining a corresponding test score; if the operation of parking beside the vehicle is wrong, deducting the corresponding test score;

VR learner-driven vehicle system judges according to lane change craspedodrome operation data whether the lane change craspedodrome operation of learner-driven vehicle user is correct, includes at least: in the process of changing lanes to the left, whether a left turn light is turned on by the VR vehicle learning machine or not is judged, and a steering wheel is operated to the left to enable the vehicle to change lanes to the left correctly; in the process of changing lanes to the right, judging whether the VR vehicle learning machine turns on a right steering lamp or not, and operating a steering wheel to the right to enable the vehicle to change lanes to the right correctly; if the lane changing straight-going operation is correct, obtaining a corresponding test score; if the lane change straight-line operation is wrong, deducting the corresponding test score;

VR school bus system judges whether school bus user's regional operation through school is correct according to regional operation data through school, includes at least: judging whether the speed of the vehicle is reduced to be within a preset speed threshold value or not; if the operation is correct through the school area, obtaining a corresponding test score; if the operation is wrong through the school area, deducting the corresponding test score;

VR learner-driven vehicle system judges according to passing through the crossing operation data whether the crossing operation of passing through of learner-driven vehicle user is correct, includes at least: judging whether the vehicle runs correctly according to the triggered traffic light mark or not, and whether the gear of a gear device of the VR trainee machine is in a first gear-shifting or second gear-shifting state or not; if the steering is needed, whether the VR vehicle learning machine turns on a corresponding steering lamp is judged; if the crossing operation is correct, obtaining a corresponding test score; if the crossing operation is wrong, deducting the corresponding test score;

VR student car system judges according to the operation data that turns around whether the operation of turning around of student car user is correct, includes at least: judging whether the VR vehicle learning machine turns on a left steering lamp or not, and operating a steering wheel leftwards to enable the vehicle to turn around correctly; if the turning operation is correct, obtaining a corresponding test score; if the turning operation is wrong, deducting the corresponding test score;

and the VR vehicle learning system records the urban traffic mixed operation data and does not judge and score the urban traffic mixed operation data.

The invention is realized by the following steps: an examination feedback system of a VR school bus comprises an examination request module, an examination feedback module and an examination grading module;

the examination request module is used for receiving a simulated examination request initiated by the user terminal, and the VR school bus system opens examination items corresponding to examination subjects according to the simulated examination request;

the examination feedback module is used for receiving the operation executed by the vehicle learning user according to the examination item and controlling the VR vehicle learning machine to execute the corresponding feedback operation according to the executed operation;

the examination scoring module is used for monitoring and acquiring operation data executed by the learner-driven vehicle user according to examination items, and meanwhile, the VR learner-driven vehicle system scores the examination of the learner-driven vehicle user according to the operation data and generates a simulated examination result.

Further, the examination request module is:

Further, in the examination feedback module, the controlling the VR trainee machine to execute the corresponding feedback operation according to the executed operation specifically includes:

Further, in the examination scoring module, if the examination subject is subject two, the monitoring and acquiring operation data executed by the vehicle-learning user according to the examination item specifically includes:

Further, in the examination scoring module, if the examination subject is subject two, the VR trainee vehicle system scores the test of the trainee vehicle user according to the operation data specifically as follows:

The invention has the following advantages: in summary, the invention has the following advantages: 1. the method comprises the steps that the VR trainee system monitors and acquires operation data (including actual operation data of the VR trainee machine acquired through various sensors and vehicle related data acquired through software) executed by the trainee according to test items, and the acquired operation data is used for conducting simulated test grading on the trainee, so that the function of conducting simulated tests in a VR mode (namely a VR test function) is well achieved, and a good foundation can be laid for real vehicle training;

2. in the process of carrying out the simulation examination, can simulate out various operation feedbacks of actual driving training car through VR learner-driven vehicle machine for the student is carrying out the in-process of VR simulation examination, can really experience the various dynamic feedback power of vehicle operation, and then can effectively avoid the in-process student at the simulation examination dizzy reaction to appear.

Drawings

The invention will be further described with reference to the following examples with reference to the accompanying drawings.

Fig. 1 is a schematic structural diagram of a VR vehicle learning machine according to the present invention.

Fig. 2 is a side view of a seat of the VR cart machine of the present invention.

Fig. 3 is a schematic block diagram of a hardware circuit involved in the present invention.

Fig. 4 is an execution flow chart of an examination feedback method of a VR student vehicle according to the present invention.

Fig. 5 is a schematic block diagram of an examination feedback system of a VR trainee of the present invention.

Description of reference numerals:

1-VR car learning machine, 11-clutch, 12-electric cylinder, 13-seat, 14-gear position device, 15-parking brake, 16-brake, 17-turn light switch, 18-steering wheel, 21-clutch sensor, 22-gear position sensor, 23-hand brake sensor, 24-brake sensor, 25-turn light switch sensor, 26-steering wheel sensor, 31-seat left-right moving mechanism, 32-seat front-back moving mechanism and 4-PC machine.

Detailed Description

Referring to fig. 1 to 4, a preferred embodiment of an examination feedback method for a VR student vehicle according to the present invention includes:

step S2, receiving the operation executed by the vehicle learning user according to the examination item, and controlling the VR vehicle learning machine 1 to execute the corresponding feedback operation according to the executed operation;

and step S3, monitoring and acquiring operation data executed by the trainee according to the examination items, and simultaneously, carrying out examination scoring on the trainee by the VR trainee according to the operation data and generating a simulated examination result. After the simulation test result is generated, the personnel in the driving training center can judge whether the trainee user meets the real vehicle training condition according to the simulation test result (for example, the simulation test score can be set to be 95 minutes or more so as to meet the real vehicle training condition), and if so, the trainee user can be arranged to carry out real vehicle training; and if not, requiring the learner-driven vehicle user to perform VR course learning.

The step S1 specifically includes:

receiving a simulation examination request initiated by a user terminal in a WeChat code scanning mode (namely, after a student vehicle user arrives at a VR student vehicle center, initiating the simulation examination request can be realized by scanning a two-dimensional code displayed by a VR client on a VR student vehicle machine 1 through WeChat, wherein the VR client is installed on a PC (personal computer) 4), and the VR client acquires a micro-signal ID of the user terminal according to the simulation examination request and transmits the micro-signal ID to a VR student vehicle system; the VR learner-driven vehicle system judges whether a simulation examination condition is met or not according to the recorded current course learning progress of the micro-signal ID (namely whether the learner-driven vehicle user finishes VR learner-driven vehicle course training before examination or not is judged), if yes, the learner-driven vehicle user finishes VR learner-driven vehicle course training before examination, and at the moment, an examination item corresponding to an examination subject is opened; if the result does not meet the requirement, the fact that the student vehicle user does not finish VR student vehicle course training before the examination is shown, at the moment, the examination item corresponding to the examination subject is not opened, and the process is ended.

In step S2, the controlling VR trainee 1 to execute the corresponding feedback operation according to the executed operation is specifically:

when a learner-driven vehicle user treads a clutch 11 of a VR learner-driven vehicle 1 to perform semi-linkage, receiving the numerical value of the clutch 11 collected by a clutch sensor 21 in real time, triggering and starting an engine sound audio by a VR simulation system when the collected numerical value reaches a preset first threshold value, simultaneously transmitting a signal to each electric cylinder 12 at the bottom of the VR learner-driven vehicle 1, linking the VR learner-driven vehicle 1 through the electric cylinders 12 to perform shaking, and if the collected numerical value does not reach the preset first threshold value, continuously receiving the numerical value of the clutch 11 and judging whether the numerical value reaches the preset first threshold value; when the acquired value reaches a preset second threshold value, the VR simulation system sets the forward speed of the vehicle, simultaneously transmits a signal to the electric cylinder 12 at the front end of the bottom of the VR learning machine, and raises the electric cylinder 12 at the front end by a preset height; of course, if the received value has not reached the preset second threshold, the value of the clutch 11 is continuously received, and it is determined whether the received value reaches the preset second threshold; the preset second threshold is a half-linkage force point, and the preset first threshold is a value close to and lower than the half-linkage force point;

in specific implementation, a student needs to step the clutch 11 to the end on the VR motorcycle learning machine 1 by using the front sole of the left foot, and engage the first gear, and then slowly lift the clutch 11 by the left foot; in the process that the clutch 11 is slowly lifted, when the received numerical value of the clutch 11 reaches a preset threshold value A (the threshold value A is a value close to and lower than a half-linkage force contact point), the VR simulation system triggers the starting of the engine sound audio, and the electric cylinder 12 is linked with the VR learning machine 1 to shake, so that a learner can really feel the starting sound of the engine and the shaking state of the vehicle when starting on a half slope; when the received value of the clutch 11 reaches a preset threshold value B (the threshold value B is a half-linkage power point), the vehicle is set to have a forward speed, and the two electric cylinders 12 at the front end of the bottom of the VR student machine 1 are raised on the Y axis by a preset height (the specific height can be set according to actual needs), so that the student can feel the pressing feeling of the backrest of the seat 13. The operation feedback of the semi-linkage authenticity is beneficial to improving the interactivity of the student and the VR learning machine, and further reduces the vertigo response of the student.

In the process of controlling the vehicle running of the vehicle learning user, when the position of the vehicle is changed, the VR simulation system (installed on the PC 4) transmits a corresponding signal to the VR vehicle learning machine 1 (namely, the PC 4 transmits the signal to an action execution component on the VR vehicle learning machine 1), and controls the VR vehicle learning machine 1 to execute the corresponding action; the method specifically comprises the following steps:

when the vehicle turns left, the VR simulation system transmits a left-turning signal to a seat left-right moving mechanism 31 of the VR learning machine 1, and drives the seat 13 to move left through the seat left-right moving mechanism 31;

when the vehicle turns right, the VR simulation system transmits a right-turn signal to a seat left-right moving mechanism 31 of the VR learning machine 1, and drives the seat 13 to move right through the seat left-right moving mechanism 31;

when the vehicle returns, the VR simulation system transmits a return signal to a seat left-right moving mechanism 31 of the VR learning machine 1, and drives the seat 13 to return through the seat left-right moving mechanism 31;

when the vehicle goes up a slope, the VR simulation system transmits a slope-going signal to the electric cylinder 12 at the front end of the bottom of the VR learning machine 1, and the electric cylinder 12 at the front end is lifted upwards;

when the vehicle goes downhill, the VR simulation system transmits a downhill signal to the electric cylinder 12 at the rear end of the bottom of the VR learning machine 1, and the electric cylinder 12 at the rear end is lifted upwards;

when the vehicle is on uneven ground, the VR simulation system transmits uneven ground signals to each electric cylinder 12 at the bottom of the VR student vehicle 1, and each electric cylinder 12 is lifted or lowered according to the height of the ground; for example, if the left side of the front end is in a higher position, the VR simulation system transmits a signal to the electric cylinder 12 on the left side of the front end, and the electric cylinder 12 on the left side of the front end is lifted upwards; if the right side of the rear end is in a lower position, the VR simulation system transmits a signal to the electric cylinder 12 on the right side of the rear end, and the electric cylinder 12 on the right side of the rear end is lowered downward;

when the vehicle returns to the flat ground, the VR simulation system transmits a flat ground signal to each electric cylinder 12 at the bottom of the VR learning machine 1, and the electric cylinders 12 are recovered to be at the same height;

when the vehicle brakes and suddenly stops, the VR simulation system transmits a brake sudden stop signal to the seat front-back moving mechanism 32 of the VR learning machine 1, and drives the seat 13 to move forwards and backwards in a preset time period (such as 5 seconds) through the seat front-back moving mechanism 32, so that the student can experience the seat 13 feeling under the real brake sudden stop condition.

In step S3, if the examination subject is subject two, the monitoring and acquiring operation data executed by the trainee user according to the examination item specifically includes:

when a trainee performs a starting operation on a vehicle according to an examination item, the VR trainee system monitors and acquires starting operation data performed by the trainee in real time, for example, in specific implementation, gear data of a gear 14 of the VR trainee 1 can be acquired through a gear sensor 22, pedaling data of a clutch 11 of the VR trainee 1 can be acquired through a clutch sensor 21, state data of a parking brake 15 of the VR trainee 1 can be acquired through a handbrake sensor 23, state data of a brake 16 of the VR trainee 1 can be acquired through a brake sensor 24, and the like; meanwhile, the speed data, the engine ignition data and the like of the vehicle can be monitored and obtained in real time through a VR vehicle learning system (namely software).

When a vehicle learning user executes the vehicle backing and warehousing operation on the vehicle according to the examination items, the VR vehicle learning system monitors and acquires the backing and warehousing operation data executed by the vehicle learning user in real time; for example, in implementation, the gear position sensor 22 may acquire gear position data of the gear position 14 of the VR trainee machine 1, the handbrake sensor 23 may acquire state data of the parking brake 15 of the VR trainee machine 1, the brake sensor 24 may acquire state data of the brake 16 of the VR trainee machine 1, and the like; meanwhile, various data such as speed data of the vehicle, software boundary data of the vehicle after the vehicle is put into storage and stopped, parking time of the vehicle and the like can be acquired through a VR vehicle learning system (namely software).

When a vehicle learning user executes curve driving operation on a vehicle according to the examination items, the VR vehicle learning system monitors and acquires curve driving operation data executed by the vehicle learning user in real time; for example, various data such as speed data of the vehicle, boundary data of the software where the vehicle is running, and parking time of the vehicle may be acquired by the VR trainee system (i.e., software).

When a learner-driven vehicle user executes the right-angle turning operation on the vehicle according to the examination items, the VR learner-driven vehicle system monitors and acquires the right-angle turning operation data executed by the learner-driven vehicle user in real time; for example, various data such as speed data of the vehicle, boundary data of the software where the vehicle is running, and parking time of the vehicle may be acquired by the VR trainee system (i.e., software).

When a vehicle-learning user executes a side parking operation on a vehicle according to the examination items, the VR vehicle-learning system monitors and acquires the side parking operation data executed by the vehicle-learning user in real time; for example, in implementation, the gear position sensor 22 may acquire gear position data of the gear position 14 of the VR trainee machine 1, the handbrake sensor 23 may acquire state data of the parking brake 15 of the VR trainee machine 1, the brake sensor 24 may acquire state data of the brake 16 of the VR trainee machine 1, and the like; meanwhile, various data such as speed data of the vehicle, software boundary data of the vehicle after the vehicle is put into storage and stopped, parking time of the vehicle and the like can be acquired through a VR vehicle learning system (namely software).

When a vehicle learning user executes the hill start operation on the vehicle according to the examination item, the VR vehicle learning system monitors and acquires the hill start operation data executed by the vehicle learning user in real time; for example, in a specific implementation, the shift position sensor 22 may acquire the shift position data of the shift position 14 of the VR motorcycle 1, the clutch sensor 21 may acquire the stepping data of the clutch 11 of the VR motorcycle 1, the handbrake sensor 23 may acquire the state data of the parking brake 15 of the VR motorcycle 1, and the brake sensor 24 may acquire the state data of the brake 16 of the VR motorcycle 1; meanwhile, various data such as position data of the front end of the vehicle after parking, software boundary data of the vehicle after parking, parking time of the vehicle and the like can be acquired through a VR vehicle learning system (namely software).

when a vehicle learning user executes the parking operation on the vehicle near the side according to the examination items, the VR vehicle learning system monitors in real time and acquires the data of the parking operation executed by the vehicle learning user near the side; for example, in implementation, the data of the turn signal switch 17 in the VR truck 1 can be acquired by the turn signal switch sensor 25; the rotation data of the steering wheel 18 in the VR learning machine 1 can be acquired through the steering wheel sensor 26;

when a vehicle learning user executes lane changing straight-going operation on a vehicle according to an examination item, a VR vehicle learning system monitors in real time and acquires lane changing straight-going operation data executed by the vehicle learning user; for example, in implementation, the data of the turn signal switch 17 in the VR truck 1 can be acquired by the turn signal switch sensor 25;

when a school bus user executes school area passing operation on a bus according to an examination item, the VR school bus system monitors in real time and acquires school area passing operation data executed by the school bus user; for example, in implementation, the speed data of the vehicle may be acquired by the VR trainee system (software);

when a vehicle-learning user executes intersection passing operation on a vehicle according to an examination item, the VR vehicle-learning system monitors and acquires intersection passing operation data executed by the vehicle-learning user in real time; for example, in implementation, the gear position sensor 22 may acquire gear position data of the gear position shifter 14 of the VR trainee machine 1, and the turn signal switch sensor 25 may acquire data of the turn signal switch 17 of the VR trainee machine 1;

when a vehicle learning user executes the turning operation on the vehicle according to the examination item, the VR vehicle learning system monitors and acquires the turning operation data executed by the vehicle learning user in real time; for example, in a specific implementation, the data of the turn light switch 17 in the VR motorcycle learning machine 1 can be acquired through the turn light switch sensor 25, and the rotation data of the steering wheel 18 in the VR motorcycle learning machine 1 can be acquired through the steering wheel sensor 26;

when a vehicle learning user executes urban traffic mixed operation on a vehicle according to an examination item, the VR vehicle learning system monitors and acquires urban traffic mixed operation data executed by the vehicle learning user in real time; for example, in an implementation, the data of the turn signal switch 17 in the VR motorcycle 1 may be acquired by the turn signal switch sensor 25, and the rotation data of the steering wheel 18 in the VR motorcycle 1 may be acquired by the steering wheel sensor 26.

In step S3, if the examination subject is subject two, the VR trainee system scores the test of the trainee user according to the operation data specifically as follows:

VR school bus system judges according to the start operation data whether school bus user's start operation is correct, includes at least: judging whether the gear of a gear shifter 14 of the VR motorcycle machine 1 is in a neutral gear state, a brake 16 is in a braking state, and a parking brake 15 is in a pulling-up state before the engine is ignited; before the semi-linkage starting, whether a clutch 11 of the VR motorcycle machine 1 is stepped to the bottom, whether a brake 16 is in a braking state, whether a parking brake 15 is in a releasing state, and whether a gear of a gear shifter 14 is in a first gear engaging state is judged; judging whether the speed of the vehicle is increased to a set vehicle speed threshold value after the semi-linkage is started; if the starting operation is correct, obtaining a corresponding test score; if the starting operation is wrong, deducting the corresponding test score;

the VR school bus system judges whether the backing and warehousing operation of the school bus user is correct according to the backing and warehousing operation data, and at least comprises the following steps: judging whether the gear of a gear 14 of the VR learning machine 1 is in a reverse gear state or not in the process of backing up and warehousing; judging whether the vehicle is in a set first software warning area or not after parking in a warehouse; judging whether the gear of a gear 14 of the VR vehicle learning machine 1 is in a first gear engaging state and whether the vehicle is driven out to a set garage-out position in the garage-out process; judging whether the vehicle is parked and exceeds the set parking time in the process of backing up and warehousing and in the process of leaving; if the backing and warehousing operation is correct, obtaining a corresponding test score; if the operation of backing a car and putting in storage is wrong, deducting the corresponding test score;

VR car learning system judges according to side parking operation data whether the side parking operation of car learning user is correct, includes at least: judging whether the gear of a gear 14 of the VR motorcycle learning machine 1 is in a reverse gear engaging state or not in the process of backing up; judging whether the vehicle is in a set fourth software warning area or not after parking in a warehouse; judging whether the gear of a gear 14 of the VR vehicle learning machine 1 is in a first gear engaging state and whether the vehicle is driven out to a set garage-out position in the garage-out process; judging whether the vehicle is parked and exceeds the set parking time in the process of warehousing and in the process of leaving; if the side parking operation is correct, obtaining a corresponding test score; if the side parking operation is wrong, deducting the corresponding test score;

VR learner-driven vehicle system judges according to the hill start operation data whether the hill start operation of learner-driven vehicle user is correct, includes at least: judging whether a brake 16 of the VR learning machine 1 is in a braking state after the vehicle stops on a half slope, whether the vehicle is in a set fifth software warning area, and whether the front end of the vehicle is in a set warning line; judging whether a parking brake 15 of the VR learning machine 1 is in a pull-up state or not within a preset time after the semi-slope is stopped; before the semi-slope semi-linkage starting, whether a clutch of the VR motorcycle machine 1 is stepped to the bottom, whether a brake 16 is in a braking state, whether a parking brake 15 is in a putting-down state and whether a gear of a gear shifter 14 is in a first-gear-engaging state is judged; judging whether the vehicle is flameout or not in the process of semi-slope semi-linkage starting; judging whether the vehicle advances to a set hill start ending position or not after the hill semi-linkage is started; if the hill start operation is correct, obtaining a corresponding test score; and if the hill start operation is wrong, deducting the corresponding test score.

VR learner-driven vehicle system judges according to the operation data of keeping close to the side that the operation of keeping close to the side parking of learner-driven vehicle user is whether correct, includes at least: judging whether the VR learning machine 1 turns on a right turn light or not in the process of parking along the side, and operating a steering wheel 18 to the right to enable the vehicle (namely the vehicle on the software) to correctly move along the side and change lanes; after the vehicle is stopped near the side, whether the gear of a gear shifter 14 of the VR learning machine 1 is hung to the neutral gear within a set time threshold value, whether a parking brake 15 is in a pull-up state, whether a clutch 11 and a brake 16 are in an un-treading state, and whether a right steering lamp is turned off is judged; if the parking operation is correct, obtaining a corresponding test score; if the operation of parking beside the vehicle is wrong, deducting the corresponding test score;

VR learner-driven vehicle system judges according to lane change craspedodrome operation data whether the lane change craspedodrome operation of learner-driven vehicle user is correct, includes at least: in the process of changing lanes to the left, whether a left turn light is turned on by the VR learning machine 1 or not is judged, and a steering wheel 18 is operated to the left to enable the vehicle to change lanes to the left correctly; in the process of changing lanes to the right, judging whether the VR learning machine 1 turns on a right turn light or not, and operating a steering wheel 18 to the right to enable the vehicle to change lanes to the right correctly; if the lane changing straight-going operation is correct, obtaining a corresponding test score; if the lane change straight-line operation is wrong, deducting the corresponding test score;

VR learner-driven vehicle system judges according to passing through the crossing operation data whether the crossing operation of passing through of learner-driven vehicle user is correct, includes at least: judging whether the vehicle runs correctly according to the triggered traffic light mark or not, and whether the gear of a gear 14 of the VR learning machine 1 is in a first gear-shifting or second gear-shifting state or not; if the steering is needed, whether the VR car learning machine 1 turns on a corresponding steering lamp is judged; if the crossing operation is correct, obtaining a corresponding test score; if the crossing operation is wrong, deducting the corresponding test score;

VR student car system judges according to the operation data that turns around whether the operation of turning around of student car user is correct, includes at least: judging whether the VR learning machine 1 turns on a left steering lamp or not, and operating a steering wheel 18 leftwards to enable the vehicle to turn around correctly; if the turning operation is correct, obtaining a corresponding test score; if the turning operation is wrong, deducting the corresponding test score;

the VR school bus system records urban traffic mixed operation data, does not judge and score the urban traffic mixed operation data, and the urban traffic mixed operation data is mainly used for data analysis and use of subsequent safe driving.

It should be noted that the score determination points listed in the above-described start operation, reverse garage operation, curve running operation, quarter turn operation, side parking operation, hill start operation, side parking operation, lane change straight operation, turning around operation, and the like in the present invention are only some of the more important determination points, but the present invention is not limited thereto, and other score determination points may be added as needed in a specific implementation. Of course, some other operation judgments may be added according to actual needs, for example, the passing operation data may be acquired, and whether to turn on the left turn signal to change lane first or not may be judged according to the passing operation data, and the right turn signal may be turned on after passing the object, and the lane may be changed back to the original lane after reaching the set waiting time, and so on. Meanwhile, in the specific implementation process, the deducted test scores of the vehicle learning users can be counted in real time, once the deducted test scores of the vehicle learning users reach the set scores, the simulation test is ended, and the simulation test is judged not to pass, for example, in the process of starting on a hill, once a vehicle is flameout, all the scores are directly deducted, and the second-subject test process is ended.

Referring to fig. 1 to fig. 3 and fig. 5, in correspondence to the method, the present invention further provides an examination feedback system for a VR trainee, where the system includes an examination request module, an examination feedback module, and an examination scoring module;

the examination feedback module is used for receiving the operation executed by the vehicle learning user according to the examination item and controlling the VR vehicle learning machine 1 to execute the corresponding feedback operation according to the executed operation;

The examination request module is as follows:

In the examination feedback module, the controlling the VR trainee machine 1 to execute the corresponding feedback operation according to the executed operation specifically includes:

when a user of a student vehicle treads the clutch 11 of the VR student vehicle machine 1 to perform semi-linkage, receiving the value of the clutch 11 collected by the clutch sensor 21 in real time, triggering and starting an engine sound audio by the VR simulation system when the collected value reaches a preset first threshold value, transmitting signals to each electric cylinder 12 at the bottom of the VR student vehicle machine 1, and linking the VR student vehicle machine 1 through the electric cylinders 12 to perform shaking; when the acquired numerical value reaches a preset second threshold value, the VR simulation system sets that the vehicle has a forward speed, simultaneously transmits a signal to the electric cylinder 12 at the front end of the bottom of the VR learning machine 1, and enables the electric cylinder 12 at the front end to rise by a preset height;

in the process of controlling the vehicle running of the vehicle learning user, when the position of the vehicle changes, the VR simulation system transmits a corresponding signal to the VR vehicle learning machine 1 and controls the VR vehicle learning machine 1 to execute a corresponding action; the method specifically comprises the following steps:

when the vehicle is on uneven ground, the VR simulation system transmits uneven ground signals to each electric cylinder 12 at the bottom of the VR student vehicle 1, and each electric cylinder 12 is lifted or lowered according to the height of the ground;

when the vehicle brakes and stops suddenly, the VR simulation system transmits a brake sudden stop signal to the seat front-back moving mechanism 32 of the VR learning machine 1, and drives the seat 13 to move forwards and backwards in a preset time period through the seat front-back moving mechanism 32.

In the examination scoring module, if the examination subject is subject two, the monitoring and acquiring operation data executed by the vehicle-learning user according to the examination item specifically comprises the following steps:

In the examination scoring module, if the examination subject is subject two, the VR student vehicle system scores the examination of the student vehicle user according to the operation data specifically as follows:

VR learner-driven vehicle system judges according to the hill start operation data whether the hill start operation of learner-driven vehicle user is correct, includes at least: judging whether a brake 16 of the VR learning machine 1 is in a braking state after the vehicle stops on a half slope, whether the vehicle is in a set fifth software warning area, and whether the front end of the vehicle is in a set warning line; judging whether a parking brake 15 of the VR learning machine 1 is in a pull-up state or not within a preset time after the semi-slope is stopped; before the semi-slope semi-linkage starting, whether a clutch 11 of a VR motorcycle machine 1 is stepped to the bottom, whether a brake 16 is in a braking state, whether a parking brake 15 is in a putting-down state, and whether a gear of a gear shifter 14 is in a first-gear-engaging state is judged; judging whether the vehicle is flameout or not in the process of semi-slope semi-linkage starting; judging whether the vehicle advances to a set hill start ending position or not after the hill semi-linkage is started; if the hill start operation is correct, obtaining a corresponding test score; if the hill start operation is wrong, deducting the corresponding test score;

VR learner-driven vehicle system judges according to the operation data of keeping close to the side that the operation of keeping close to the side parking of learner-driven vehicle user is whether correct, includes at least: judging whether the VR learning machine 1 turns on a right steering lamp or not in the process of parking along the side, and operating a steering wheel 18 to the right to enable the vehicle to change lanes along the side correctly; after the vehicle is stopped near the side, whether the gear of a gear shifter 14 of the VR learning machine 1 is hung to the neutral gear within a set time threshold value, whether a parking brake 15 is in a pull-up state, whether a clutch 11 and a brake 16 are in an un-treading state, and whether a right steering lamp is turned off is judged; if the parking operation is correct, obtaining a corresponding test score; if the operation of parking beside the vehicle is wrong, deducting the corresponding test score;

VR student car system judges according to the operation data that turns around whether the operation of turning around of student car user is correct, includes at least: judging whether a left steering lamp is turned on by the VR learning machine 1 or not, and operating a steering wheel leftwards to enable the vehicle to turn around correctly; if the turning operation is correct, obtaining a corresponding test score; if the turning operation is wrong, deducting the corresponding test score;

In summary, the invention has the following advantages: 1. the method comprises the steps that the VR trainee system monitors and acquires operation data (including actual operation data of the VR trainee machine acquired through various sensors and vehicle related data acquired through software) executed by the trainee according to test items, and the acquired operation data is used for conducting simulated test grading on the trainee, so that the function of conducting simulated tests in a VR mode (namely a VR test function) is well achieved, and a good foundation can be laid for real vehicle training;

Although specific embodiments of the invention have been described above, it will be understood by those skilled in the art that the specific embodiments described are illustrative only and are not limiting upon the scope of the invention, and that equivalent modifications and variations can be made by those skilled in the art without departing from the spirit of the invention, which is to be limited only by the appended claims.

Claims

1. A VR school bus examination feedback method is characterized in that: the method comprises the following steps:

2. The VR trainee examination feedback method of claim 1, wherein: the step S1 specifically includes:

3. The VR trainee examination feedback method of claim 1, wherein: in step S2, the controlling VR trainee machine to execute the corresponding feedback operation according to the executed operation is specifically:

4. The VR trainee examination feedback method of claim 1, wherein: in step S3, if the examination subject is subject two, the monitoring and acquiring operation data executed by the trainee user according to the examination item specifically includes:

5. The method of claim 4, wherein the method comprises: in step S3, if the examination subject is subject two, the VR trainee system scores the test of the trainee user according to the operation data specifically as follows:

6. The utility model provides a feedback system that takes an examination of VR school bus which characterized in that: the system comprises an examination request module, an examination feedback module and an examination grading module;

7. The examination feedback system of a VR trainee of claim 1, wherein: the examination request module is as follows:

8. The examination feedback system of a VR trainee of claim 1, wherein: in the examination feedback module, the controlling the VR vehicle learning machine to execute the corresponding feedback operation according to the executed operation is specifically:

9. The examination feedback system of a VR trainee of claim 1, wherein: in the examination scoring module, if the examination subject is subject two, the monitoring and acquiring operation data executed by the vehicle-learning user according to the examination item specifically comprises the following steps:

10. The VR trainee examination feedback system of claim 9, wherein: in the examination scoring module, if the examination subject is subject two, the VR student vehicle system scores the examination of the student vehicle user according to the operation data specifically as follows: