Intelligent auxiliary driving vehicle terminal for large vehicle

Abstract

The application provides a large vehicle intelligent auxiliary driving vehicle terminal, and relates to the field of auxiliary driving; the vehicle terminal comprises a dynamic sensitivity reduction module, a debt processing module, a debt transaction module and a tactile settlement module; the dynamic sensitivity reduction module reduces the sensitivity of the sensor in a safe road section to reduce invalid alarms, and converts filtered potential risk signals into digital debts and stores the digital debts in the debt processing module; when the vehicle enters a debt coordinate area, a settlement instruction is triggered, the tactile settlement module executes specific tactile feedback according to the risk type, such as steering wheel vibration, seat pulse or pedal resistance feedback, and the behavior reflection of the driver is strengthened; the debt transaction module supports the packaging and auction of the digital debts, the winning vehicle returns real risk data when entering the debt area, and triggers the sound and light enhanced alarm of the original vehicle; the whole system is adjusted through a mechanical knob and cooperates with hardware, ensures the safety and reliability of debt transaction, forms a training mechanism of driving conditional reflex, and improves driving safety and comfort.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of auxiliary driving, in particular to a large vehicle intelligent auxiliary driving vehicle terminal. BACKGROUND

[0002] With the increasing demand for driving safety of large vehicles, the auxiliary driving system has become one of the key fields of the development of automobile intelligence. Large vehicles, due to their large size and complex operation, face many safety risks in road driving, such as wide blind area and long braking distance. The auxiliary driving system brings new possibilities for safe driving of vehicles with its intelligent characteristics.

[0003] The common large vehicle auxiliary driving vehicle terminal at present has a scheme based on traditional sensors, which monitors the environment around the vehicle through cameras and radars installed around the vehicle body. The camera captures image information around the vehicle, and the radar is used to detect the distance between the vehicle and the obstacle, providing real-time road condition feedback for the driver and helping the driver better understand the situation around the vehicle.

[0004] The prior art has the deficiency that the accuracy and stability of monitoring in complex environment need to be improved. For example, in severe weather conditions, the image clarity of the camera will decrease significantly, and the detection accuracy of the radar will also be affected, making it difficult to accurately capture all potential dangers. Moreover, the adaptability of the system to different driving scenarios is weak, and it cannot make quick and accurate judgments according to different road conditions and traffic conditions, which poses a certain safety risk. SUMMARY

[0005] (I) Technical problems solved

[0006] In view of the deficiencies of the prior art, the present application provides a large vehicle intelligent auxiliary driving vehicle terminal to solve the problems of the accuracy and stability of monitoring in complex environment and the adaptability of the system to different driving scenarios being weak, which cannot make quick and accurate judgments according to different road conditions and traffic conditions.

[0007] (II) Technical solutions

[0008] In order to achieve the above object, the present application is realized by the following technical scheme: a large vehicle intelligent auxiliary driving vehicle terminal, comprising a dynamic sensitivity reduction module including a mechanical knob controlled signal attenuator and an instrument panel sensitivity reduction state visual indication device; the dynamic sensitivity reduction module is connected with a vehicle sensor array, when the vehicle enters a road section with a historical accident rate lower than a threshold value in a historical accident database provided by a vehicle positioning system and a continuous safe driving time longer than a preset value, the mechanical knob controlled signal attenuator reduces the monitoring sensitivity, converts the filtered potential risk signal into a digital debt containing geographical coordinates, risk type, intensity level mark, time stamp of risk occurrence time and risk reflection waveform feature code, and transmits the digital debt to a debt processing module;

[0009] The debt processing module includes a spatial positioning engine and a three-dimensional storage array, directly connects the dynamic sensitivity reduction module through a physical control line to receive the digital debt, stores the digital debt into the three-dimensional storage array, activates a settlement instruction when the vehicle enters a geographical fence area with a preset radius centered on the debt coordinates, and receives a real risk signal detected by a winning vehicle in the debt coordinate area and triggers a sound and light enhanced alarm after a debt transaction module completes the debt ownership delivery transfer, and receives real-time risk data collected by the winning vehicle in the debt coordinate area;

[0010] The tactile settlement module receives the settlement instruction of the debt processing module, drives the steering wheel piezoelectric ceramic sheet, the driver seat airbag group or the foot pedal electromagnetic actuator according to the risk type to execute specific tactile feedback;

[0011] The debt transaction module is connected with a central control console physical auction button and a special communication transceiver, packs the digital debt stored by the debt processing module into an encrypted asset package, broadcasts an auction request through a special communication channel, and completes the debt ownership delivery with the winning vehicle with the highest capability score.

[0012] Preferably, the dynamic sensitivity reduction module controls the signal attenuator through a mechanical knob, connects a vehicle sensor array, and is provided with a dashboard sensitivity reduction state visual indication device; the vehicle sensor array connected by the dynamic sensitivity reduction module includes a millimeter wave radar, a binocular camera, and an ultrasonic sensor; the potential risk signal refers to a moving object echo detected by the millimeter wave radar and having a reflection intensity lower than a first threshold value by 20 dB, or an obstacle image feature recognized by the binocular camera and having a confidence score lower than a second threshold value, or a signal captured by the ultrasonic sensor and having a duration less than a preset duration by 0.5s close-range trigger signal; the close-range trigger signal is determined as a potential risk signal when the real-time alarm is not triggered; when the vehicle enters a safe road section with a historical accident rate below a preset threshold and a continuous safe driving time exceeding a preset value, the preset threshold is less than 2 accidents per 100 kilometers, and the preset value is set to a safe driving time of not less than 1800 seconds continuously without triggering a risk event; the dynamic sensitivity reduction module physically adjusts the sensor attenuator to reduce the monitoring sensitivity; the potential risk signal is filtered and converted into a digital debt object containing geographic coordinates, risk type, intensity level label, timestamp and risk reflection waveform feature code; the filtering operation of the dynamic sensitivity reduction module includes: reducing the millimeter wave radar receiving gain by 30% to 50% through the mechanical knob control signal attenuator; then link to adjust the radar physical shielding plate to an angle θ ∈ [15°, 30°], reduce the detection field of view angle by 40%; then control the opening and closing degree of the camera light shield to 50%, suppress the environmental light noise; wherein the filtering target is a signal satisfying any one of the following: signal one is radar scattering noise caused by weather interference, such as rain and fog reflection frequency band; signal two is a non-threatening moving object more than 50 meters away from the vehicle; signal three is a static shadow area misidentified by the camera; the process of converting the filtered potential risk signal into a digital debt includes: extracting the vehicle latitude and longitude coordinates and altitude data at the time when the signal occurs; according to the signal source sensor type, mark the risk type code, and then generate the intensity level label according to the mechanical knob rotation angle, wherein the knob angle α ∈ [0°, 90°]; linear mapping to intensity level Lv1 to Lv9, one intensity level per 10°; for example, if the risk type is "front vehicle distance insufficient" and the intensity level is Lv8, it is considered that the debt has a high liquidation priority, and the periodic increasing throttle resistance feedback is executed through the tactile liquidation module; if it is "low-trust shadow area misidentified by radar" and the level is Lv2, the system adopts a mild seat pulse feedback, and the liquidation operation is delayed; call the preset encoding table to map the signal waveform features to a 16-bit risk reflection waveform feature code; combine to generate the digital debt object; the debt processing module has a spatial positioning engine and a three-dimensional storage array, which are directly connected to the dynamic sensitivity reduction module through physical control lines to receive and store digital debts; the tactile liquidation module is equipped with a steering wheel piezoelectric ceramic sheet, a driver seat airbag group and a foot pedal electromagnetic actuator tactile feedback device, which executes corresponding tactile feedback according to the risk type; the debt transaction module is connected with the center console auction button and the special communication transceiver, which is used to package the digital debt as an encrypted asset package and broadcast the auction request through a closed communication channel independent of the conventional V2V frequency band; the confidence score is trained by a machine learning algorithm, which extracts and compares image features, and calculates the matching probability value between the obstacle image features and the known target categories according to the shape, size, color and texture of the target, as the confidence score, indicating the credibility of the system's identification result of the obstacle.

[0013] Preferably, the dynamic sensitivity reduction module continuously receives vehicle positioning information, real-time road section safety score and safety rating of historical accident database, and adjusts the sensor sensitivity through the mechanical knob control signal attenuator; when the vehicle enters a road section with a safety rating higher than the preset value, the mechanical knob is rotated to the sensitivity reduction state, and the angle of the physical shielding plate of the radar transmitter and the opening degree of the camera lens hood are adjusted through the transmission mechanism linkage of the knob to reduce the detection range; the filtered potential risk signals are converted into digital debts containing geographic coordinates, risk type, intensity level label, time stamp and risk reflection waveform feature code; the digital debts are transmitted to the debt processing module through the special data bus; the sensitivity reduction state visual indication device receives the activation signal of the dynamic sensitivity reduction module and displays the sensitivity reduction state to prompt the driver that the system has entered the sensitivity reduction operation state; the angle sensor on the mechanical knob outputs pulse signals to directly drive the debt processing module to generate the intensity level label of the digital debt, and the rotation angle of the knob and the intensity level have a linear mapping relationship; the risk reflection waveform feature code is generated by the dynamic sensitivity reduction module according to the risk type identification and the preset encoding table in real time.

[0014] Preferably, the debt processing module adjusts the processing priority of the digital debt according to the risk type code and the intensity level label in the digital debt when generating and managing the digital debt; when the risk type code corresponds to the system preset risk type code or the intensity level label reaches the preset high level threshold, the system preferentially clears the debt of this type, and executes high-intensity tactile feedback through the tactile clearing module; otherwise, mild tactile feedback and delayed clearing method are adopted, wherein the mild tactile feedback includes low-amplitude vibration of the steering wheel, single light pulse of the seat or simulation of slight resistance of the pedal, and the delayed clearing method refers to triggering the clearing when the vehicle reenters the debt area after a short time of leaving the debt area.

[0015] Preferably, the dynamic sensitivity reduction module continuously receives vehicle positioning information, real-time road safety score and safety rating of historical accident database, wherein the real-time road safety score is obtained by matching the current road number of the vehicle with the real-time road score table built in the vehicle terminal by the vehicle positioning system, the real-time score table is updated to the local storage of the terminal by the background through the OTA mode in a fixed time period and contains the traffic state, passing frequency, number of adjacent vehicles in a short distance and the number of times of sensor triggering risk events of each road number within the past seven days, the score is obtained by the system comprehensive calculation, the score value is normalized in the range of percentage system, and the higher the score is, the higher the safety is; the safety rating of the historical accident database is the preloaded accident record index table in the local embedded database, the index table takes the road coordinate hash value as the key value, and is associated with the key indicators of the number of accidents per 100 kilometers, the type of accidents and the proportion of accidents at night, the safety rating is classified into five levels according to the accident density value, each level corresponds to a fixed rating value, and the rating value ranges from level one danger to level five safety, wherein the number of accidents per 100 kilometers is less than 2 and the proportion of accidents at night is less than 10% for level five safety; the dynamic sensitivity reduction module queries the real-time score value and the historical rating level by the current positioning coordinates of the vehicle in the two tables at the same time, compares the preset threshold value to judge whether the sensitivity reduction trigger condition is met, and if both are higher than the preset threshold value, the system enters the sensitivity reduction running state; this mechanism ensures that the system makes dynamic sensitivity adjustment according to the latest road risk characteristics.

[0016] Preferably, the debt processing module includes a spatial positioning engine and a three-dimensional storage array, which receives the digital debt through the physical control line and writes it into the three-dimensional storage array; the first dimension of the three-dimensional storage array stores the longitude and latitude of the geographic coordinates and the altitude data, the second dimension is sorted by the time stamp of the risk occurrence time, and the third dimension stores the risk type code, the intensity level mark and the risk reflection waveform feature code; the debt processing module continuously acquires real-time positioning data of the vehicle and matches the real-time coordinates of the vehicle with the debt coordinates in the three-dimensional storage array; when the vehicle enters a circular geographic fence area with a certain debt coordinate as the center and a radius of 80 meters, the debt processing module automatically activates the liquidation instruction when the trigger condition is met; the debt processing module sends the liquidation instruction containing the risk type code and the intensity level mark to the tactile liquidation module, triggering the corresponding specific tactile feedback action; after the debt transaction module completes the delivery and transfer of the ownership of the debt, the debt processing module continuously listens to the monitoring data of the winning vehicle; when the winning vehicle enters the debt coordinate range, the debt processing module starts real-time analysis of the monitoring data of the vehicle; if the monitoring data matches the preset risk reflection waveform feature code, the debt processing module triggers a sound and light enhanced alarm: controls the vehicle-mounted loudspeaker to play a warning sound with a preset frequency and volume, the preset frequency is between 1000 Hz and 1200 Hz, and the preset volume level is 10 decibels higher than the vehicle environment noise of not less than 80 decibels, ensuring that the warning sound in the closed electric vehicle cabin is sufficient to attract the attention of the driver; at the same time, the red flashing frame is displayed on the corresponding geographic position of the center control screen of the vehicle-mounted terminal; the enhanced alarm lasts for a preset time of 15 seconds or the vehicle deviates from the debt area, prompting the driver to pay attention to the corresponding risk.

[0017] Preferably, the haptic settlement module receives the settlement instruction sent by the debt processing module, and drives the corresponding actuator to execute specific haptic feedback according to the risk type code and risk reflection waveform characteristic code in the digital debt; when the risk type code is blind area monitoring, the haptic settlement module drives the piezoelectric ceramic sheet of the steering wheel to generate a continuous global low-frequency waveform vibration, and the vibration range is divided according to the debt position: the left debt triggers the vibration of the left handle area of the steering wheel, and the right debt triggers the vibration of the right handle area of the steering wheel; when there are multiple directional debts at the same time, the vibration waveforms generated in each direction are superimposed to form a spatial vector feedback, for example, when there is a front-left debt, the vibration wave flows from the left front part of the steering wheel to the right rear part; when the risk type code is lane deviation, the haptic settlement module drives the seat cushion airbag group to complete three pulse contractions with a fixed time interval within 1.2 seconds, and each contraction time is 300 milliseconds and the interval is 500 milliseconds; when the risk type code is insufficient distance from the front vehicle, the corresponding execution rule is to drive the electromagnetic actuator of the accelerator pedal to simulate the gradual increase of resistance, and the resistance coefficient increases linearly according to the intensity level, and each 0.5 seconds increases by one level, and a total of five levels, and each level of resistance changes by 5 newtons based on the original pedal pressure feedback value; during each haptic feedback drive, the central control screen of the vehicle terminal displays the corresponding prompt and plays the prompt; after the haptic feedback is completed, the haptic settlement module sends a settlement completion confirmation signal to the debt processing module; the haptic feedback also triggers the conditioned reflex of the driver: the low-frequency vibration of the steering wheel prompts the driver to visually check the blind area, the seat pulse prompts the driver to slow down, and the resistance feedback of the accelerator pedal prompts the driver to increase the vehicle distance; then the muscle memory is formed by repeated specific haptic feedback operations; and the system can monitor the response behavior of the driver to the haptic feedback, such as the delay of the accelerator release and the action detection after the seat pulse trigger, to indirectly assess the state, when the vehicle positioning system continuously detects that the driver does not perform specific operations according to the instructions, or the execution reaction time delay exceeds the system set threshold, it is determined that the driver may have inattention or fatigue state, and the system accordingly improves the sensor sensitivity, including increasing the radar receiving gain, opening the shielding plate, expanding the detection field of view angle, restoring the camera light shield opening degree, and adjusting the processing mechanism of the digital debt, including increasing the generation frequency and shortening the settlement trigger time interval.

[0018] Preferably, the debt transaction module is connected to the center console auction button and a dedicated communication transceiver, and responds to the driver's pressing operation; the debt transaction module extracts the un-settled debt data from the debt processing module, and encapsulates it as an encrypted asset package containing risk type identification, geographic coordinate hash value, timestamp, and intensity level label; the debt transaction module broadcasts the auction request through a closed communication channel independent of the conventional V2V frequency band; after receiving the auction request, the neighboring vehicles return the bidding data package; the debt transaction module receives the bidding data package and compares all neighboring vehicles according to the preset matching rule; the preset matching rule refers to the preset rule that the debt transaction module sorts the bids of each neighboring vehicle according to the predetermined standard after receiving the bidding data package returned by multiple neighboring vehicles, and selects the winning vehicle; the preset matching rule contains at least three main judgment parameters: parameter one is the debt settlement success rate of the neighboring vehicle, which is composed of the ratio of the number of completed settlements to the total number of settlements participated by the neighboring vehicle in similar risk types, and the ratio is used for sorting reference after normalization processing; parameter two is the spatial distance difference between the current coordinate of the neighboring vehicle and the target debt coordinate, the smaller the spatial distance difference, the shorter the response time, and the higher the priority; parameter three is the time interval of the neighboring vehicle's last settlement operation, the shorter the interval, the higher the current response activity; the debt transaction module assigns weight values to the three main judgment parameters, parameter one is 0.5, parameter two is 0.3, and parameter three is 0.2, and generates a bid accordingly, and the vehicle with the highest bid is selected as the winning vehicle, the debt ownership is transferred to the vehicle, and a change record containing the identity information of the winning vehicle is written to the debt processing module; the bidding data package contains the identity certificate of the neighboring vehicle and the debt settlement success rate, wherein the settlement success rate is calculated based on the historical debt settlement data of the vehicle; the verification circuit of the debt transaction module is hardware-bound with the digital signature generator of the debt processing module; during the execution of the debt asset package encryption and transmission process, the verification circuit calls the digital signature generated by the digital signature generator to verify and identify the asset package, ensuring the security and reliability of the debt transaction; this transaction process ensures the security and credibility of the debt asset delivery process; and the debt transaction module supports communication with roadside intelligent infrastructure, and in the debt transaction process, real-time traffic conditions, road construction information, and potential obstacle data are exchanged with the infrastructure to assist in judging the debt risk authenticity and the winning vehicle's ability score, such as exchanging road congestion, accident warning, or construction area information with the roadside unit, which is used to assist in risk authenticity evaluation and winning vehicle ability judgment in the debt transaction process, thereby improving the coordination efficiency.

[0019] Preferably, the mechanical knob control line of the dynamic sensitivity reduction module is physically connected with the input pin of the debt processing module, when the mechanical knob rotates, the angle signal generated by it is transmitted to the debt processing module in real time, triggering the generation of corresponding digital debt; the spatial positioning engine of the debt processing module is directly connected with the drive controller of the tactile liquidation module through an anti-interference data link; after the spatial positioning engine calculates the real-time coordinate distance data of the vehicle and the debt coordinates in real time, it transmits the distance data to the drive controller through parallel data lines; the drive controller controls the corresponding tactile feedback device to perform actions according to the received coordinate distance and the preset tactile action rule, realizing the real-time matching of the vehicle position and the tactile feedback action; the preset tactile action rule refers to the execution strategy of the tactile liquidation module corresponding to the risk type code, risk reflection waveform feature code and intensity level mark contained in the digital debt after receiving the liquidation instruction issued by the debt processing module, the tactile action rule uses fixed mapping logic and is fixed in the drive controller of the tactile liquidation module in advance, wherein the risk type code and the type of tactile device correspond one by one; the verification circuit of the debt transaction module is hardware-bound with the digital signature generator of the debt processing module, when the debt asset package is encrypted and transmitted, the verification circuit verifies and identifies the asset package by using the digital signature generated by the signature generator, ensuring the safety and reliability of the debt transaction; through the above hardware connection, low-latency data interaction and security verification between modules are realized, and high reliability and anti-interference performance of the communication process are ensured; the anti-interference design is adopted for each hardware connection to ensure stable signal transmission and data consistency, adapting to the requirements of the complex electromagnetic environment of the vehicle; the system architecture adopts modular design, and each functional component can be expanded or upgraded according to the requirements.

[0020] Preferably, the vehicle terminal contains a conditioned reflex training to strengthen the driver's conditioned reflex to the tactile feedback; when the tactile feedback of a specific type of debt is triggered for the first time, the system synchronously activates the central control screen of the vehicle terminal to display the operation guide corresponding to the debt type; the operation guide demonstrates the correct response action that the driver should take through graphical or textual prompts; the system maintains a training completion identifier for each debt type to determine whether the guide needs to be displayed again subsequently; after the vehicle positioning system detects that the driver performs the corresponding guide action, the system marks that the reflex training of this type of debt has been completed; thereafter, when the same type of debt is triggered again, the system only performs the tactile feedback action without repeating the display of the guide; this training mechanism enables the driver to gradually get used to reacting only based on the tactile feedback, reducing the dependence on visual prompts; through gradual reduction of prompts, this training logic eventually enables the tactile feedback and the response action to form a conditioned reflex and be strengthened as a muscle memory; this training logic is particularly suitable for electric large vehicles equipped with intelligent assisted driving systems, and helps to form stable driving habits; the logic is managed by the central processing unit to realize the coordinated operation of tactile feedback, prompt display, and driver behavior marking; the overall training process forms a closed-loop feedback to continuously strengthen the driver's perception of risk threats and response capabilities.

[0021] Preferably, when the sensor array detects a blind area risk signal, if the historical accident rate of the road section is lower than a threshold value and the continuous safe driving time exceeds a preset value, the dynamic desensitization module physically adjusts the signal attenuator and reduces the sensor receiving aperture, while simultaneously adjusting the radar transmitter shielding plate and the camera light shield to reduce the monitoring sensitivity; the attenuated blind area risk signal is filtered and converted by the dynamic desensitization module into a digital debt containing risk coordinates, risk type, intensity level, timestamp, and waveform feature code, and is transmitted to the debt processing module through a dedicated data bus; after receiving the digital debt, the debt processing module writes it into the three-dimensional storage array, and calculates the distance between the risk coordinates and the real-time positioning of the vehicle by the spatial positioning engine; when the vehicle enters the geographic fence area centered on the risk coordinates, the debt processing module automatically activates the settlement instruction and sends the settlement instruction containing the risk type code and intensity level to the tactile settlement module; after receiving the settlement instruction, the tactile settlement module drives the piezoelectric ceramic sheet of the steering wheel to produce low-frequency vibration in the corresponding grip area, while the central control screen of the vehicle terminal displays a prompt and plays a voice prompt; the driver's conditioned reflex to the steering wheel vibration causes a visual check of the blind area, and the tactile settlement module sends a settlement completion confirmation signal to the debt processing module after the feedback is completed; during the entire process, the modules exchange information through physical wiring and dedicated communication links to realize a complete closed-loop control process from the input of the risk signal to the output of the tactile and audio-visual feedback.

[0022] Preferably, when there is an unliquidated digital debt in the debt processing module, the driver can press the auction button on the center console to initiate a debt transaction; the debt transaction module packages the debt data into an encrypted asset package, including risk type identification, geographic coordinate hash value, timestamp and intensity level marker, and broadcasts the auction request through a closed communication channel independent of the regular V2V frequency band; after receiving the auction request, the neighboring vehicle returns a bidding data package, which includes the neighboring vehicle's identity information and the debt liquidation success rate calculated based on historical liquidation records; the debt transaction module receives and compares the liquidation success rates of the bidding vehicles according to the preset matching rules, selects the highest vehicle as the winning vehicle, transfers the debt ownership to the vehicle, and writes a change record of the winning vehicle's identity to the debt processing module; the debt processing module then continuously monitors the monitoring data of the winning vehicle, and when the winning vehicle enters the fence area overlapping with the debt coordinates, the debt processing module starts real-time analysis of the risk data of the vehicle; if the risk data detected by the winning vehicle meets the preset risk reflection waveform characteristics, the debt processing module triggers an enhanced audible and visual alarm: the vehicle-mounted loudspeaker plays a warning sound, and the corresponding position of the center screen of the vehicle-mounted terminal appears a red flashing frame; the enhanced alarm lasts for a preset time or the vehicle leaves the risk area, to remind the original vehicle driver to pay attention to the actual risk.

[0023] (III) Beneficial Effects

[0024] The present application provides a large vehicle intelligent auxiliary driving vehicle terminal. It has the following beneficial effects:

[0025] 1. The present application reduces the sensitivity of the sensor in the safe section through the dynamic sensitivity reduction module, reduces invalid alarm interference, and improves driving efficiency; the tactile liquidation module provides accurate tactile feedback according to different risk types, such as steering wheel vibration, seat pulse, etc., strengthens the conditioned reflex of the driver, shortens the reaction time, and reduces the risk of accidents; the debt transaction module realizes debt packaging and auction and ownership transfer, optimizes risk data management, and improves the ability of large electric vehicles to cooperate with each other to deal with risks.

[0026] 2. The present application adopts modular design and special communication link to ensure low-latency data interaction and high reliability between modules, adapt to complex electromagnetic environment on vehicle; tactile feedback combined with conditioned reflex training makes the driver gradually adapt to reacting only according to tactile prompts, reduces dependence on visual prompts, and forms muscle memory; the spatial positioning engine and three-dimensional storage array of the debt processing module realize spatial storage and accurate triggering of risk data, enhance the timeliness and accuracy of risk warning. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present application will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0028] Embodiment one:

[0029] The embodiment of the present application provides a kind of large vehicle intelligent auxiliary driving vehicle terminal, including, in plateau mining area road, a large electric mine transport vehicle is equipped with the intelligent auxiliary driving vehicle terminal of the present application;When starting, when the historical accident database and the road section safety rating show that the current road section accident rate is lower than the preset threshold and the safe driving time exceeds the preset value, the system activates the dynamic desensitization module, drives the mechanical knob to rotate physically to reduce the sensitivity of sensor, and reduces the detection range by adjusting the angle of radar shield plate and the opening degree of camera light shield cover, and the desensitization state indicator light on instrument panel is lit to prompt the driver to enter desensitization mode;After that, the vehicle sensor array detects a potential risk signal, and the dynamic desensitization module filters and converts it into digital debt, which includes risk coordinates, type code, intensity mark, occurrence timestamp and risk echo characteristic code, and is transmitted to the debt processing module through a special physical link;The spatial positioning engine of the debt processing module writes the digital debt into the three-dimensional storage array, wherein the first dimension records the risk latitude and longitude and altitude, the second dimension records the timestamp, the third dimension records the risk type, intensity and echo characteristic code, and continuously obtains the spatial matching of vehicle positioning and debt coordinates;Then the driver starts debt auction by central control auction button, and the debt transaction module encapsulates the debt as an encrypted asset package and broadcasts the auction request through a special communication channel, and after the nearby vehicles respond, the best winning vehicle is selected according to the ability score, the debt ownership is transferred to the winning vehicle, and the winning vehicle identity is recorded;When the vehicle enters the geographic fence area with the risk coordinates as the center and the preset radius, the debt processing module automatically activates the liquidation instruction, and the tactile liquidation module drives the corresponding actuator according to the risk type code, since the risk of the embodiment is blind area monitoring, the tactile liquidation module drives the steering wheel piezoelectric sheet to produce low-frequency vibration, and the vibration is fed back in the corresponding grip area of steering wheel according to the risk direction, while the central control screen prompts the driver to check the blind area, and the vibration triggers the driver to reflexively check the blind area;After vibration continues for a certain period of time, the tactile liquidation module sends a liquidation completion confirmation signal to the debt processing module;After tactile liquidation, the debt processing module continues to listen to the monitoring data of the winning vehicle, and starts real-time analysis when the winning vehicle enters the risk area, once the real risk data monitored by the winning vehicle meets the risk characteristic code of the debt, the debt processing module triggers enhanced alarm, the vehicle-mounted loudspeaker plays warning sound, and the central control screen flashes with red warning frame, which lasts for a preset period of time or the vehicle leaves the area, reminding the driver to pay attention to the risk;The embodiment describes in detail the processes of dynamic desensitization triggering, risk conversion into digital debt, debt storage and auction, tactile feedback and enhanced alarm, etc., which improves the driving safety of large electric mine transport vehicle in plateau mining area.

[0030] Embodiment two:

[0031] The difference between this embodiment and embodiment one is that: or this embodiment is based on the basis of embodiment one: on the plateau mining area road, a large electric mine transport vehicle is equipped with the intelligent auxiliary driving vehicle terminal of the application, and the difference between this embodiment and embodiment 1 is that the risk type encountered in this embodiment is insufficient distance from the front vehicle, the system will generate the corresponding throttle resistance feedback and provide training prompts; when the vehicle travels to a certain road section, the positioning system detects that the safety level of the road section is higher than the threshold value and the continuous safe driving time exceeds the preset value, so the dynamic desensitization module drives the mechanical knob to rotate to the desensitization state, the transmission mechanism linkage adjusts the radar shielding plate angle and the camera light shield cover opening and closing degree to reduce the detection range, and the instrument panel desensitization indication device lights up to prompt the driver that the system has entered the desensitization mode; then the vehicle-mounted sensor array captures the potential risk signal that the distance from the front vehicle in front of the vehicle is too close, the dynamic desensitization module filters and converts this risk signal into a digital debt containing geographic coordinates, risk type code, intensity level mark, timestamp and risk reflection waveform feature code, the digital debt is transmitted to the debt processing module through a special data channel and written into a three-dimensional storage array, and at the same time the debt processing module continuously obtains the real-time positioning of the vehicle and matches it with the debt position in the three-dimensional array; when the vehicle enters the preset radius geographic fence area centered on the insufficient distance from the front vehicle risk coordinate, the debt processing module activates the liquidation instruction, the tactile liquidation module drives the electromagnetic actuator of the accelerator pedal to generate gradually increasing resistance feedback to prompt the driver to increase the distance from the front vehicle, and at the same time the central control screen synchronously displays the "please keep a safe distance" prompt, when the driver steps on and releases the accelerator pedal to increase the distance, the positioning system detects the action and marks the reflection training of this type of debt as completed; after the tactile feedback is completed, a liquidation completion confirmation signal is sent to the debt processing module; then the driver starts the debt transaction through the central control auction button, the debt transaction module obtains the unliquidated debt and packages it as an encrypted asset package, broadcasts an auction request through a special communication frequency band, and after the neighboring vehicles respond to the bidding, the system selects the vehicle with the highest ability as the winning bidder according to the ability score, transfers the ownership of the debt and records its identity; after the delivery of the ownership of the debt is completed, the debt processing module continuously listens to the monitoring data of the winning vehicle, and starts real-time monitoring when the winning vehicle enters the debt area: once the monitoring data meets the preset risk reflection waveform feature code, the debt processing module triggers an enhanced alarm, the vehicle-mounted loudspeaker plays a warning sound, the central control screen flashes a red warning frame at the corresponding geographic location and pops up a prompt icon, and the alarm lasts for a preset time or the vehicle deviates from the range, prompting the driver to pay attention to the front risk position; this embodiment uses the training logic of conditional reflex: when the insufficient distance from the front vehicle type debt liquidation is triggered for the first time, the system displays the distance increasing prompt on the central control screen, the driver executes it, and the system marks the completion of the reflection training of this type, and strengthens the driver's habit of keeping a safe distance through training.

[0032] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is intended, therefore, to cover all modifications and adaptions that fall within the scope of the claims and their equivalents.

Claims

1. A large vehicle intelligent auxiliary driving vehicle terminal, characterized in that, Comprising: The dynamic sensitivity reduction module includes a mechanical knob controlled signal attenuator and a dashboard sensitivity reduction state visual indication device; The dynamic sensitivity reduction module is connected to the vehicle sensor array, when the vehicle enters a road section with a historical accident rate lower than a threshold value in the historical accident database provided by the vehicle positioning system and a continuous safe driving time longer than a preset value, the mechanical knob controlled signal attenuator reduces the monitoring sensitivity, converts the filtered potential risk signal into a digital debt containing geographic coordinates, risk type, intensity level label, time stamp of risk occurrence time, and risk reflection waveform feature code, and transmits it to the debt processing module; The debt processing module includes a spatial positioning engine and a three-dimensional storage array, which directly connects the dynamic sensitivity reduction module through a physical control line to receive digital debt and stores it into the three-dimensional storage array, activates the settlement instruction when the vehicle enters the geographic fence area with a preset radius centered on the debt coordinates; And after the debt transaction module completes the delivery of debt ownership transfer, it receives the real risk signal detected by the winning vehicle in the debt coordinate area and triggers the sound and light enhanced alarm, and receives the real-time risk data collected by the winning vehicle in the debt coordinate area; The tactile settlement module receives the settlement instruction of the debt processing module, and drives the steering wheel piezoelectric ceramic sheet, driver seat airbag group, or foot pedal electromagnetic actuator to execute specific tactile feedback according to the risk type; The debt transaction module connects the central control console physical auction button and the special communication transceiver, packages the digital debt stored by the debt processing module into an encrypted asset package, broadcasts an auction request through a special communication channel, and completes the delivery of debt ownership with the winning vehicle with the highest capability score.

2. The intelligent auxiliary driving vehicle terminal for large-sized vehicles according to claim 1, characterized in that: The dynamic sensitivity reduction module continuously receives vehicle positioning information, real-time road section safety score, and safety rating of the historical accident database, when the vehicle enters a road section with a safety rating higher than a preset value, the mechanical knob controls the rotation of the signal attenuator to the sensitivity reduction state, and adjusts the angle of the physical shielding plate of the radar transmitter and the opening degree of the camera light shield through the transmission mechanism of the mechanical knob to reduce the detection range; and converts the filtered potential risk signal into a digital debt containing geographic coordinates, risk type, intensity level label, time stamp of risk occurrence time, and risk reflection waveform feature code; The digital debt is transmitted to the debt processing module through a special data bus, and the sensitivity reduction state visual indication device receives the activation signal of the dynamic sensitivity reduction module and displays the sensitivity reduction state to prompt the driver that the system has entered the sensitivity reduction state; The angle sensor of the mechanical knob outputs a pulse signal to directly drive the debt processing module to generate the intensity level label of the digital debt, and the rotation angle and the intensity level have a linear mapping relationship; The risk reflection waveform feature code is generated by the dynamic sensitivity reduction module according to the risk type identification; The debt processing module adjusts the processing priority according to the risk type code and intensity level label in the digital debt when generating and managing the digital debt; When the risk type code corresponds to a preset risk type, or the intensity level mark reaches a preset high level threshold, the system preferentially clears the debt of this type, and performs high-intensity tactile feedback through the tactile clearing module; otherwise, mild tactile feedback and delayed clearing mode are adopted.

3. The intelligent auxiliary driving vehicle terminal for large-sized vehicles according to claim 2, characterized in that: The debt processing module is internally provided with a three-dimensional storage array and a spatial positioning engine, receives the digital debt transmitted by the dynamic sensitivity reduction module, and writes the digital debt into the three-dimensional storage array: the first dimension stores the longitude and latitude and altitude data of the geographic coordinates, the second dimension stores the time stamp of the risk occurrence time, and the third dimension stores the risk type code, the intensity level mark and the risk reflection waveform feature code; The debt processing module continuously acquires real-time positioning data of the vehicle, and matches the real-time with the debt coordinates in the three-dimensional storage array in space position, when the vehicle enters a circular geographic fence area with the debt coordinates as the center and a set radius, the debt processing module automatically activates the clearing instruction under the preset trigger condition, and sends the clearing instruction containing the risk type code and the intensity level mark to the tactile clearing module.

4. The intelligent auxiliary driving vehicle terminal for large-sized vehicles according to claim 3, characterized in that: The tactile clearing module receives the clearing instruction of the debt processing module, drives the target actuator according to the risk type code and the risk reflection waveform feature code in the digital debt, the target actuator includes a steering wheel piezoelectric ceramic piece, a driver seat airbag group and a foot pedal electromagnetic actuator; When the risk type code is blind area monitoring, the piezoelectric ceramic piece of the steering wheel is driven to generate continuous global low-frequency waveform vibration, and the vibration range is divided according to the debt position information, the left debt triggers the vibration of the left handle area of the steering wheel, and the right debt triggers the vibration of the right handle area, when there are multiple direction debts at the same time, the spatial vector feedback is generated by superimposing the vibration waveform of each direction; When the risk type code is lane deviation, the seat waist airbag group is driven to execute three fixed interval pulse contractions; When the risk type code is insufficient distance from the front vehicle, the throttle pedal electromagnetic actuator is driven to simulate periodic increasing pressure feedback, so that the driver feels that the pedal resistance gradually increases; And each time the vehicle terminal's central control screen displays and plays the corresponding prompt; After the tactile feedback is finished, a clearing completion confirmation signal is sent to the debt processing module.

5. The intelligent auxiliary driving vehicle terminal for large-sized vehicles according to claim 1, characterized in that: The debt transaction module extracts un-settled debt data from the debt processing module in response to the driver pressing the center console auction button, encapsulates it into a cryptographic asset package, and includes risk type identification, geographic coordinate hash value, timestamp, and intensity level marker; Broadcast auction request through dedicated communication channel; After receiving the auction request, the neighboring vehicle can return the bidding data package, and the debt transaction module receives the bidding data package returned by the neighboring vehicle, and compares the debt settlement success rate of all neighboring vehicles according to the preset matching rule, selects the vehicle with the highest success rate as the winning vehicle, and transfers the debt ownership to the winning vehicle, and writes the change record containing the winning vehicle's identity information to the debt processing module; The bidding data package contains the identity certificate of the neighboring vehicle and the debt settlement success rate, and the debt settlement success rate is calculated based on the historical debt settlement data of the vehicle; The debt transaction module communicates with the roadside intelligent infrastructure at the same time, and in the process of debt transaction, the real-time traffic conditions, road construction information and potential obstacle data are exchanged with the infrastructure to assist in judging the authenticity of the debt risk and the scoring of the winning vehicle's ability.

6. The intelligent auxiliary driving vehicle terminal for large-sized vehicles according to claim 5, characterized in that: After the debt ownership is changed, the debt processing module continuously monitors the monitoring data of the winning vehicle; When the winning vehicle enters the debt coordinate range, the debt processing module starts real-time analysis of the monitoring data of the winning vehicle, and when the monitoring data matches the preset risk reflection waveform feature code, the debt processing module triggers an enhanced alarm: controls the vehicle-mounted loudspeaker to play an alarm tone with a preset frequency and volume, and drives the center screen of the vehicle-mounted terminal to display a red flashing frame at the corresponding geographic location, and the enhanced alarm lasts for a preset time or the vehicle positioning data has deviated from the debt coordinate setting radius range, to remind the driver to pay attention to the corresponding risk position.

7. The intelligent auxiliary driving vehicle terminal for large-sized vehicles according to claim 4, characterized in that: The steering wheel of the tactile settlement module triggers the driver's conditional reflex visual inspection of the vehicle blind area through global low-frequency vibration; The seat waist pulse of the tactile settlement module triggers the driver's conditional reflex of deceleration operation on the bumpy road section; The gravity feedback of the throttle pedal of the tactile settlement module triggers the driver's conditional reflex of actively increasing the distance from the front vehicle; The conditional reflex is formed into muscle memory through repeated debt settlement operations; The training of the conditional reflex is that when the tactile feedback of the tactile settlement module triggers a specific debt type for the first time, the center screen of the vehicle-mounted terminal is activated to display the operation guide corresponding to the debt type; When the vehicle positioning system detects that the driver performs the guided action, mark that the reflection training of this type of debt is completed; Subsequent triggering of the same debt only executes tactile feedback; The tactile settlement module and the dynamic sensitivity reduction module are linked, and when the vehicle positioning system continuously detects that the driver does not perform a specific operation according to the guide or the execution reaction time exceeds the system set threshold, it is determined that the driver may have inattention or fatigue, and then the sensor sensitivity is increased and the generation and settlement strategy of digital debt is adjusted.