Intelligent auxiliary driving vehicle-mounted terminal for large vehicle

Abstract

The invention provides an intelligent auxiliary driving vehicle-mounted terminal for a large vehicle, and relates to the field of auxiliary driving. Comprising the steps of reducing the sensitivity of a sensor in a safe road section through a dynamic sensitivity reduction module so as to reduce invalid alarms, and converting filtered potential risk signals into digital debts to be stored in a debt processing module; when the vehicle enters the debt coordinate area, a clearing instruction is triggered, a tactile clearing module executes specific tactile feedback according to the risk type, such as steering wheel vibration, seat pulse or pedal resistance feedback, and behavior reflex of a driver is strengthened; the debt transaction module supports digital debt packing auction, real risk data is returned when a bid-winning vehicle enters a debt area, and an acousto-optic enhancement alarm of an original vehicle is triggered; the whole system ensures safe and reliable debt transaction through mechanical knob adjustment and hardware cooperation, forms a training mechanism of driving conditioned reflex, and improves driving safety and comfort.

Description

Technical Field

[0001] The present invention relates to the field of assisted driving, and in particular to an on-board terminal for intelligent assisted driving of large vehicles. Background Art

[0002] With the increasing demand for safe driving of large vehicles, assisted driving systems have become a key area of automotive intelligence development. Due to their large size and complex operation, large vehicles face numerous safety risks on the road, such as wide blind spots and long braking distances. Assisted driving systems, with their intelligent features, bring new possibilities for safe driving.

[0003] Currently, the common large-scale vehicle assisted driving on-board terminals are based on traditional sensor solutions. They monitor the vehicle's surrounding environment through cameras and radars installed around the vehicle body. The cameras capture image information around the vehicle, and the radar is used to detect the distance between the vehicle and obstacles, providing the driver with real-time road condition feedback to help the driver better understand the situation around the vehicle.

[0004] The shortcomings of existing technologies are that the accuracy and stability of their monitoring in complex environments need to be improved. For example, in severe weather conditions, the image clarity of the camera will drop significantly, and the detection accuracy of the radar will also be affected, making it difficult to accurately capture all potential dangers; and the system has weak adaptability to different driving scenarios and cannot make quick and accurate judgments based on different road conditions and traffic conditions, posing certain safety risks. Summary of the Invention

[0005] (1) Technical problems solved

[0006] In response to the shortcomings of the existing technology, the present invention provides a large-scale vehicle intelligent assisted driving on-board terminal to solve the problems raised in the above background technology that the accuracy and stability of its monitoring in complex environments need to be improved, and the system has weak adaptability to different driving scenarios and cannot make quick and accurate judgments based on different road conditions and traffic conditions.

[0007] (2) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a large-scale vehicle intelligent assisted driving on-board terminal, comprising: a dynamic desensitization module including a signal attenuator controlled by a mechanical knob and a visual indicator of the desensitization status on the instrument panel; the dynamic desensitization module is connected to the vehicle sensor array, and when the vehicle enters a road section in a historical accident database provided by a vehicle positioning system where the historical accident rate is lower than a threshold and the continuous safe driving time exceeds a preset value, the mechanical knob controls the signal attenuator to reduce the monitoring sensitivity, converting the filtered potential risk signal into a digital debt containing geographic coordinates, risk type, intensity level mark, timestamp of the risk occurrence time, and risk reflection waveform characteristic code, and transmitting it to the debt processing module;

[0009] The debt processing module includes a spatial positioning engine and a three-dimensional storage array. It is directly connected to the dynamic desensitization module via a physical control line to receive digital debts and store them in the three-dimensional storage array. When a vehicle enters a geofenced area with a preset radius centered on the debt coordinates, a liquidation instruction is activated. After the debt transaction module completes the transfer of debt ownership, it receives the actual risk signal detected by the winning vehicle within the debt coordinate area and triggers an enhanced sound and light alarm. At the same time, it receives real-time risk data collected by the winning vehicle within the debt coordinate area.

[0010] The tactile settlement module receives the settlement instruction from the debt processing module and drives the steering wheel piezoelectric ceramic plate, the driver's seat airbag group or the pedal electromagnetic actuator to perform specific tactile feedback according to the risk type;

[0011] The debt transaction module is connected to the physical auction button on the center console and a dedicated communication transceiver, packages the digital debt stored in the debt processing module into an encrypted asset package, broadcasts the auction request through a dedicated communication channel, and completes the debt ownership transfer with the winning vehicle with the highest capability score.

[0012] Preferably, the dynamic desensitization module controls the signal attenuator via a mechanical knob and is connected to the vehicle sensor array, and is also provided with a dashboard visual indicator of the desensitization status. The vehicle sensor array connected to the dynamic desensitization 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 with a reflection intensity below a first threshold of 20dB, or an obstacle image feature identified by the binocular camera with a confidence score below a second threshold, or a moving object feature captured by the ultrasonic sensor with a duration less than a preset time of 0.5s close-range trigger signal; the close-range trigger signal is determined to be a potential risk signal when no real-time alarm is triggered; when the vehicle enters a safe section where the historical accident rate is lower than a preset threshold and the continuous safe driving time exceeds a preset value, the preset threshold is less than 2 accidents per 100 kilometers, and the preset value is that the safe driving time is set to not less than 1800 seconds without triggering a risk event; the dynamic desensitization module physically adjusts the sensor attenuator to reduce the monitoring sensitivity; the potential risk signal is converted into a digital debt object containing geographic coordinates, risk type, intensity level mark, timestamp and risk reflection waveform feature code after filtering; the filtering operation of the dynamic desensitization module includes: controlling the signal attenuator by a mechanical knob to reduce the millimeter wave radar The receiving gain is reduced by 30% to 50%; then the radar physical baffle is adjusted to the angle θ∈[15°,30°] in a coordinated manner to reduce the detection field of view by 40%; then the camera hood opening is controlled to be reduced to 50% to suppress ambient light noise; wherein the filtering target is a signal that meets any of the following conditions: Signal 1 is radar scattering noise caused by weather interference, such as rain and fog reflection band; Signal 2 is a non-threatening moving object greater than 50 meters away from the vehicle; Signal 3 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 latitude and longitude coordinates and altitude data of the vehicle when the signal occurs; marking the risk type code according to the type of sensor from which the signal comes, and then generating a strong signal according to the rotation angle of the mechanical knob. Degree level mark, where the knob angle α∈[0°,90°]; linear mapping is intensity level Lv1 to Lv9, with one intensity level every 10°; for example, if the risk type is "insufficient distance to the vehicle ahead" and the intensity level is Lv8, the debt is considered to have a higher liquidation priority, and the tactile liquidation module performs periodic increasing throttle resistance feedback; if it is a "low-confidence shadow area misidentified by the radar" and the level is Lv2, the system uses gentle seat pulse feedback and postpones the liquidation operation; calls the preset coding table to map the signal waveform characteristics into a 16-bit risk reflection waveform characteristic code; combines to generate the digital debt object; the debt processing module has a built-in spatial positioning engine and a three-dimensional storage array, which is connected to the dynamic desensitization module through a physical control line The blockchain is directly connected to receive and store digital debts. The tactile settlement module is equipped with tactile feedback devices for the steering wheel piezoelectric ceramic plate, the driver's airbag assembly, and the pedal electromagnetic actuators, providing corresponding tactile feedback based on the risk type. The debt trading module is connected to the center console auction button and a dedicated communication transceiver to package digital debts into encrypted asset packages and broadcast auction requests via a closed communication channel independent of the conventional V2V frequency band. The confidence score is trained using a machine learning algorithm. Based on image feature extraction and comparison, it integrates multiple factors such as the target's shape, size, color, and texture to calculate the probability value of the match between the obstacle image features and the known target category. This value is used as the confidence score, indicating the system's confidence in the obstacle recognition result.

[0013] Preferably, the dynamic desensitization module continuously receives vehicle positioning information, real-time road section safety scores and safety ratings from the historical accident database, and adjusts the sensor sensitivity by controlling the signal attenuator through a mechanical knob; when the vehicle enters a road section with a safety rating higher than a preset value, the mechanical knob is rotated to the desensitization state, and the physical baffle angle of the radar transmitter and the opening and closing degree of the camera hood are adjusted through the transmission mechanism of the knob to narrow the detection range; the filtered potential risk signal is converted into a digital debt containing geographic coordinates, risk type, intensity level mark, timestamp and risk reflection waveform characteristic code; the digital debt is transmitted to the debt processing module through a dedicated data bus; the desensitization state visual indicator receives the activation signal of the dynamic desensitization module and displays the desensitization state to prompt the driver that the system enters the desensitization operation state; the angle sensor on the mechanical knob outputs a pulse signal, which directly drives the debt processing module to generate the intensity level mark of the digital debt, and the knob rotation angle is linearly mapped to the intensity level; the risk reflection waveform characteristic code is generated by the dynamic desensitization module calling the preset coding table in real time according to the risk type identifier.

[0014] Preferably, when generating and managing digital debts, the debt processing module adjusts its processing priority according to the risk type code and intensity level mark in the digital debt; when the risk type code corresponds to the risk type code preset by the system, or the intensity level mark reaches the preset high level threshold, the system gives priority to clearing this type of debt and performs high-intensity tactile feedback through the tactile clearing module; otherwise, gentle tactile feedback and delayed clearing methods are adopted, wherein gentle tactile feedback includes low-amplitude vibration of the steering wheel, a single light pulse of the seat, or slight resistance simulation of the pedal, and the delayed clearing method means that the system triggers clearing when the vehicle re-enters the debt area after leaving it for a short time.

[0015] Preferably, the dynamic desensitization module continuously receives vehicle positioning information, real-time road section safety score and safety rating of historical accident database, wherein the real-time road section safety score is obtained by matching the vehicle positioning system with the road number of the current vehicle with the road section real-time score table built into the vehicle-mounted terminal, and the real-time score table is updated by the background through OTA mode to the local storage of the terminal at a fixed time period and includes the traffic status, pass frequency, number of adjacent vehicles in close range and number of sensor-triggered risk events of each road number in the past seven days. The score is obtained by comprehensive calculation of the system, and the score value is normalized within the percentage range. The higher the score, the higher the safety. The safety rating of the historical accident database is the accident pre-loaded in the local embedded database. A record index table is used, which uses the road coordinate hash value as the key value, and associates the key indicators of the number of accidents per 100 kilometers, the composition of accident types and the proportion of night accidents. The safety rating is divided into five levels according to the accident density value, and each level corresponds to a fixed rating value. The rating values range from level one danger to level five safety. Among them, the number of accidents per 100 kilometers is less than 2 and the proportion of night accidents is less than 10%. The five-level safety; the dynamic desensitization module queries the two tables at the same time through the current positioning coordinates of the vehicle, extracts the real-time score value and the historical rating level, and compares the preset threshold to determine whether the desensitization trigger condition is met. If both are higher than the preset threshold value, the system enters the desensitization operation state; this mechanism ensures that the system makes dynamic sensitivity adjustments based on the latest road risk characteristics.

[0016] Preferably, the debt processing module includes a spatial positioning engine and a three-dimensional storage array, which is directly connected to the dynamic desensitization module through a physical control line to receive the digital debt and write it into the three-dimensional storage array; the first dimension of the three-dimensional storage array stores the latitude and longitude and altitude data of the geographic coordinates, the second dimension is sorted by the timestamp of the risk occurrence time, and the third dimension stores the risk type code, intensity level mark and risk reflection waveform characteristic code; the debt processing module continuously obtains the real-time positioning data of the vehicle, and spatially matches its real-time coordinates 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 set radius of 80 meters, the debt processing module automatically activates the settlement instruction when the trigger condition is met; the debt processing module sends a settlement instruction containing the risk type code and intensity level mark to the tactile settlement module, triggering the corresponding specific tactile reflection Feedback action; after the debt trading module completes the debt ownership transfer, 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 vehicle's monitoring data; if the monitoring data meets the preset risk reflection waveform feature code match, the debt processing module triggers the sound and light enhancement alarm: controls the vehicle speaker 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 not less than 80 decibels on the basis of the vehicle ambient noise plus 10 decibels, to ensure that the warning sound is sufficient to attract the driver's attention in the closed electric vehicle cabin; at the same time, a red flashing border is displayed on the corresponding geographical location on the central control screen of the vehicle terminal; the enhanced alarm lasts until the preset duration is 15 seconds or the vehicle deviates from the debt area to remind the driver to pay attention to the corresponding risks.

[0017] Preferably, after receiving the settlement instruction sent by the debt processing module, the tactile settlement module drives the corresponding actuator to perform specific tactile feedback according to the risk type code and risk reflection waveform characteristic code in the digital debt; when the risk type code is blind spot monitoring, the tactile settlement module drives the piezoelectric ceramic plate of the steering wheel to generate continuous global low-frequency waveform vibration, and the vibration range is divided according to the debt direction: 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 debts in multiple directions 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 left-side debt, the vibration wave flows from the left front to the right rear of the steering wheel; when the risk type code is lane deviation, the tactile settlement module drives the driver's seat lumbar airbag group to complete three pulse contractions with fixed time intervals within 1.2 seconds, each contraction time is 300 milliseconds, and the interval is 500 milliseconds; when the risk type code is insufficient distance to the vehicle in front, the corresponding execution rule is to drive the accelerator pedal electromagnetic actuator to simulate a gradually increasing resistance change, and the resistance coefficient increases linearly according to the intensity level, increasing by one level every 0.5 seconds, for a total of five levels, and each level increases by one level every 0.5 seconds. The resistance level increases by 5 Newtons based on the original pedal pressure feedback value. Each time haptic feedback is actuated, the vehicle's central control screen displays a corresponding prompt and plays a message. After the haptic feedback is completed, the haptic settlement module sends a settlement completion confirmation signal to the debt processing module. Haptic feedback also triggers the driver's conditioned reflexes: low-frequency steering wheel vibration prompts the driver to visually check blind spots, seat pulses prompt the driver to slow down, and throttle resistance feedback prompts the driver to increase distance. Repeated specific haptic feedback actions are then reinforced to form muscle memory. The system can also conduct indirect status assessment by monitoring the driver's response to haptic feedback, such as throttle release delay and movement detection after seat pulse triggering. If the vehicle positioning system repeatedly detects that the driver fails to perform specific actions as instructed, or the response delay exceeds a system-set threshold, it determines that the driver may be inattentive or fatigued. The system then improves sensor sensitivity, including increasing radar receiver gain, opening the blind spot, expanding the detection field of view, and restoring the camera hood opening. It also adjusts the digital debt processing mechanism, increasing the generation frequency and shortening the settlement trigger interval.

[0018] Preferably, the debt trading module is connected to the auction button on the center console and a dedicated communication transceiver to respond to the driver's pressing operation; the debt trading module extracts the unliquidated debt data from the debt processing module and encapsulates it into an encrypted asset package containing a risk type identifier, a geographic coordinate hash value, a timestamp and a strength level mark; the debt trading module broadcasts the auction request through a closed communication channel independent of the conventional V2V frequency band; the neighboring car returns a bidding data packet after receiving the auction request; the debt trading module receives the bidding data packet and compares all neighboring cars according to a preset matching rule; the preset matching rule refers to the debt trading module receiving the bidding data packets returned by multiple neighboring cars. Afterwards, the bids of each neighboring vehicle are ranked based on predetermined criteria and a preset rule is used to select the winning vehicle. The preset matching rule includes at least three main judgment parameters: Parameter 1 is the debt settlement success rate of the neighboring vehicle, which is composed of the ratio of the number of settlements completed by the neighboring vehicle under similar risk types in the past to the total number of settlements in which the neighboring vehicle has participated. The ratio is normalized and used as a reference for sorting; Parameter 2 is the spatial distance difference between the current coordinates of the neighboring vehicle and the coordinates of the target debt. The smaller the spatial distance difference, the shorter its response time and the higher its priority; Parameter 3 is the time interval between the neighboring vehicle's most recent settlement operation. The shorter the interval, the higher its current response activity. The debt transaction module assigns weight values of 0.5 for parameter 1, 0.3 for parameter 2, and 0.2 for parameter 3 to the three main judgment parameters and generates a bid accordingly. 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 packet contains the identity certificate of the neighboring vehicle and the debt liquidation success rate, where the liquidation success rate is calculated based on the historical debt liquidation data of the vehicle; the verification circuit of the debt transaction module is hardware-bound to 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 The digital signature generated by the generator verifies and identifies the asset package to ensure the security and reliability of the debt transaction; the transaction process ensures the security and credibility of the debt asset delivery process; and the debt transaction module supports communication and collaboration with roadside intelligent infrastructure. During 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 authenticity of debt risks and the capability score of the winning vehicle. For example, road congestion, accident warning or construction area information is exchanged with the roadside unit to assist in risk authenticity assessment and winning vehicle capability judgment during the debt transaction process, thereby improving collaboration efficiency.

[0019] Preferably, the mechanical knob control line of the dynamic desensitization module is physically connected to the input pin of the debt processing module. When the mechanical knob is rotated, 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 to the drive controller of the tactile settlement module through an anti-interference data link; the spatial positioning engine calculates the real-time coordinate distance data between the vehicle and the debt coordinates in real time, and transmits the distance data to the drive controller through a parallel data line; the drive controller controls the corresponding tactile feedback device to perform actions according to the received coordinate distance and the preset tactile action rules, so as to realize real-time matching of the vehicle position and the tactile feedback action; the preset tactile action rules refer to the tactile settlement module receiving the settlement instruction issued by the debt processing module, and The tactile feedback execution strategy corresponding to the reflection waveform characteristic code and the intensity level mark, the tactile action rules are pre-solidified in the drive controller of the tactile settlement module using fixed mapping logic, wherein the risk type code corresponds one-to-one to the type of tactile device; the verification circuit of the debt trading module is hardware-bound to the digital signature generator of the debt processing module. When the debt asset package is encrypted and transmitted, the verification circuit calls the digital signature generated by the signature generator to verify and identify the asset package, ensuring the security and reliability of the debt transaction; through the above-mentioned hardware connection, low-latency data interaction and security verification are achieved between modules, and the high reliability and anti-interference performance of the communication process are guaranteed; each hardware connection adopts an anti-interference design to ensure stable signal transmission and data consistency, adapting to the requirements of the complex electromagnetic environment on board; the system architecture adopts a modular design, and each functional component can be expanded or upgraded according to needs.

[0020] Preferably, the vehicle terminal includes conditioned reflex training to strengthen the driver's conditioned reflex to tactile feedback; when tactile feedback for a specific type of debt is triggered for the first time, the system simultaneously activates the central control screen of the vehicle terminal to display the operating instructions corresponding to the debt type; the operating instructions demonstrate the correct response actions that the driver should take through graphical or text prompts; the system maintains a training completion mark for each debt type to determine whether the instructions need to be displayed again in the future; when the vehicle positioning system detects that the driver has executed the corresponding guidance action, the system marks the reflex training for this type of debt as completed; thereafter, when the same type of debt is triggered again, the system only performs the tactile feedback action without repeating the guidance display; this training mechanism allows the driver to gradually accustomed to reacting based solely on tactile feedback, reducing dependence on visual cues; by gradually reducing prompts, the training logic eventually enables tactile feedback and response actions to form conditioned reflexes and strengthen them into muscle memory; this training logic is particularly suitable for large electric vehicles equipped with intelligent assisted driving systems, helping to form stable driving habits; this logic is managed by the central processing unit to achieve the coordinated operation of tactile feedback, prompt display, and driver behavior marking; the overall training process forms a closed-loop feedback loop, continuously strengthening the driver's perception and response capabilities to risk threats.

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

[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 a risk type identifier, a geographic coordinate hash value, a timestamp, and a strength level tag, and broadcasts the auction request through a closed communication channel independent of the conventional V2V frequency band; after receiving the auction request, the neighboring vehicle returns a bidding data packet, which includes the neighboring vehicle's identity information and a debt liquidation success rate calculated based on historical liquidation records; after receiving the bid, the debt transaction module compares the liquidation success rates of the bidding vehicles according to the preset matching rules and selects the vehicle with the highest success rate as the winning bidder The debt processing module detects the vehicle and transfers the ownership of the debt to the vehicle, and writes a record of the change 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. When the winning vehicle enters the fenced area that coincides 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 sound and light alarm: the on-board speaker plays a warning sound, and a red flashing border appears at the corresponding position of the central control screen of the on-board terminal; the enhanced alarm lasts until the preset duration or the vehicle leaves the risk area to remind the original vehicle driver to pay attention to the actual risk.

[0023] (3) Beneficial effects

[0024] The present invention provides a large-scale vehicle intelligent assisted driving vehicle terminal. It has the following beneficial effects:

[0025] 1. The present invention uses a dynamic desensitization module to reduce sensor sensitivity on safe roads, reduce invalid alarm interference, and improve driving efficiency; the tactile settlement module provides precise tactile feedback according to different risk types, such as steering wheel vibration and seat pulse, to strengthen the driver's conditioned reflexes, shorten reaction time, and reduce accident risks; the debt trading module realizes debt packaging auction and ownership transfer, optimizes risk data management, and enhances the ability of large electric vehicles to coordinate and respond to risks.

[0026] 2. The present invention adopts a modular design and dedicated communication links to ensure low-latency data exchange and high reliability between modules, adapting to the complex electromagnetic environment on board. Tactile feedback combined with conditioned reflex training enables drivers to gradually adapt to responding based solely on tactile cues, reducing reliance on visual cues and forming muscle memory. The spatial positioning engine and three-dimensional storage array of the debt processing module realize the spatial storage and precise triggering of risk data, enhancing the timeliness and accuracy of risk warnings. DETAILED DESCRIPTION

[0027] The following is a clear and complete description of the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0028] Example 1:

[0029] An embodiment of the present invention provides a large vehicle intelligent assisted driving vehicle terminal, including: a large electric mining transport vehicle equipped with the intelligent assisted driving vehicle terminal of the present invention on a plateau mining road; at the beginning, when the historical accident database and the road section safety rating show that the accident rate of the current road section 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 physically rotate to reduce the sensor sensitivity, and reduces the detection range by adjusting the radar shield angle and the camera hood opening in a linked manner, and the desensitization status indicator light on the instrument panel lights up to prompt the driver to enter the desensitization mode; then the vehicle-mounted sensor array detects a potential risk signal , the dynamic desensitization module filters it and converts it into digital debt, which contains risk coordinates, type code, intensity mark, occurrence timestamp and risk echo feature code, and transmits it to the debt processing module through a dedicated physical link; the spatial positioning engine of the debt processing module writes the digital debt into a three-dimensional storage array, in which the first dimension records the risk latitude and longitude and altitude, the second dimension records the timestamp, and the third dimension records the risk type, intensity and echo feature code, and continuously obtains the vehicle positioning and debt coordinates for spatial matching; then the driver starts the debt auction through the central control auction button, and the debt trading module encapsulates the debt into an encrypted asset package and broadcasts the auction request through a dedicated communication channel, attached 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 its identity is recorded; when the vehicle enters the geographical fence area with a preset radius centered on the risk coordinates, the debt processing module automatically activates the settlement instruction, and the tactile settlement module drives the corresponding actuator according to the risk type code. Since the risk in this embodiment is blind spot monitoring, the tactile settlement module drives the steering wheel piezoelectric piece to generate low-frequency vibration, and feeds back vibration in the corresponding grip area of the steering wheel according to the risk direction. At the same time, the central control screen prompts the driver to check the blind spot, and the vibration triggers the driver to reflexively check the blind spot; after the vibration lasts for a certain period of time, the tactile settlement module sends a message to the debt processing module. A confirmation signal for liquidation completion is sent; after tactile liquidation, the debt processing module continues to monitor the monitoring data of the winning vehicle and starts real-time analysis when the winning vehicle enters the risk area. Once it is detected that the actual risk data monitored by the winning vehicle meets the risk characteristic code of the debt, the debt processing module triggers an enhanced alarm, the on-board speaker plays a warning sound, and the central control screen flashes a red warning frame, which lasts until the preset time or the vehicle leaves the area, reminding the driver to pay attention to this risk; this embodiment describes in detail the processes of dynamic desensitization triggering, risk conversion into digital debt, debt storage and auction, as well as tactile feedback and enhanced alarms, which improves the driving safety of large electric mining transport vehicles in plateau mining areas.

[0030] Example 2:

[0031] The difference between this embodiment and embodiment 1 is that: or this embodiment is based on embodiment 1: on a plateau mining road, a large electric mining transport vehicle is equipped with the intelligent assisted driving vehicle terminal of the present invention, and the difference from embodiment 1 is that the risk type encountered in this embodiment is insufficient distance to the vehicle in front, and the system will generate corresponding throttle resistance feedback and provide training prompts; when the vehicle travels to a certain section of road, the positioning system detects that the safety level of the section is higher than the threshold and the continuous safe driving time exceeds the preset value, so the dynamic desensitization module drives the mechanical knob to physically rotate to the desensitization state, and the transmission mechanism jointly adjusts the angle of the radar shield and the opening and closing degree of the camera hood to reduce the detection range, and the instrument panel desensitization indicator device The device lights up to remind the driver that the system has entered the desensitization mode; then the on-board sensor array captures the potential risk signal that the distance between the vehicle and the preceding vehicle is too close, and the dynamic desensitization module filters the risk signal and converts it 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 dedicated data channel and written into the three-dimensional storage array. 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 geo-fenced area with a preset radius centered on the risk coordinate of the preceding vehicle, the debt processing module activates the settlement instruction, and the tactile settlement module drives the accelerator pedal to move forward. The magnetic actuator generates gradually increasing resistance feedback to prompt the driver to increase the distance from the vehicle in front. At the same time, the central control screen synchronously displays the prompt "Please maintain a safe distance". When the driver steps on and releases the accelerator pedal to increase the distance, the positioning system detects the action and marks the reflex training of this type of debt as completed; after the tactile feedback ends, a liquidation completion confirmation signal is sent to the debt processing module; the driver then starts the debt transaction through the central control auction button, the debt transaction module obtains the unliquidated debt and encapsulates it into an encrypted asset package, and broadcasts the auction request through a dedicated communication frequency band. After the neighboring vehicles respond to the bid, the system selects the vehicle with the highest capability as the winning vehicle based on the capability score, transfers the debt ownership and records its identity; after the debt ownership is completed, The debt processing module continuously monitors 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 characteristic code, the debt processing module triggers an enhanced alarm, the vehicle-mounted speaker plays a warning sound, the central control screen flashes a red warning frame and a prompt icon pops up at the corresponding geographical location, and the alarm continues until the preset duration ends or the vehicle deviates from the range, prompting the driver to pay attention to the risk position ahead; this embodiment uses the training logic of conditioned reflexes: when the debt settlement of the insufficient distance to the vehicle in front is triggered for the first time, the system displays a reminder to increase the distance on the central control screen. After the driver executes it, the system marks the completion of this type of reflex training, and strengthens the driver's habit of maintaining a safe distance through training.

[0032] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A large vehicle intelligent assisted driving vehicle terminal, characterized in that: include: The dynamic desensitization module includes a signal attenuator controlled by a mechanical knob and a visual indicator of the desensitization status on the instrument panel; The dynamic desensitization module is connected to the vehicle sensor array. When the vehicle enters a road section where the historical accident rate in the historical accident database provided by the vehicle positioning system is lower than the threshold and the continuous safe driving time exceeds the preset value, the mechanical knob controls the signal attenuator to reduce the monitoring sensitivity, converting the filtered potential risk signal into a digital debt containing geographic coordinates, risk type, intensity level mark, timestamp of the 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 is directly connected to the dynamic desensitization module via a physical control line to receive digital debts and store them in the three-dimensional storage array. When a vehicle enters a geo-fenced area with a preset radius centered on the debt coordinates, a settlement instruction is activated; After the debt transaction module completes the transfer of debt ownership, it receives the real risk signal detected by the winning vehicle in the debt coordinate area and triggers the sound and light enhanced alarm, while receiving the real-time risk data collected in the debt coordinate area; The tactile settlement module receives the settlement instruction from the debt processing module and drives the steering wheel piezoelectric ceramic plate, the driver's seat airbag group or the pedal electromagnetic actuator to perform specific tactile feedback according to the risk type; The debt transaction module is connected to the physical auction button on the center console and a dedicated communication transceiver, packages the digital debt stored in the debt processing module into an encrypted asset package, broadcasts the auction request through a dedicated communication channel, and completes the debt ownership transfer with the winning vehicle with the highest capability score.

2. The large vehicle intelligent assisted driving vehicle terminal according to claim 1, characterized in that: The dynamic desensitization module continuously receives vehicle positioning information, real-time road safety scores, and safety ratings from a historical accident database. When a 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 a desensitized state. The mechanical knob's transmission mechanism also adjusts the angle of the radar transmitter's physical shield and the opening of the camera's light shield to reduce the detection range. The module also converts the filtered potential risk signals into digital debts containing geographic coordinates, risk type, intensity level, a timestamp of the risk occurrence, and a risk reflection waveform signature. The digital debts are transmitted to the debt processing module via a dedicated data bus. Simultaneously, a desensitization status visual indicator receives an activation signal from the dynamic desensitization module and displays the desensitization status to alert the driver that the system has entered the desensitized operating state. The mechanical knob's angle sensor outputs a pulse signal that directly drives the debt processing module to generate an intensity level for the digital debt, with a linear mapping between the rotation angle and the intensity level. The risk reflection waveform signature is generated by the dynamic desensitization module in real time by calling a preset coding table based on the risk type identifier. When generating and managing digital debts, the debt processing module adjusts the processing priority based on the risk type code and intensity level in the digital debt. When the risk type code corresponds to the preset risk type, or the intensity level mark reaches the preset high-level threshold, the system will prioritize the liquidation of this type of debt and perform high-intensity tactile feedback through the tactile liquidation module; otherwise, it will use mild tactile feedback and delayed liquidation.

3. The large vehicle intelligent assisted driving vehicle terminal according to claim 2, characterized in that: The debt processing module has a built-in three-dimensional storage array and a spatial positioning engine, receives the digital debt transmitted by the dynamic desensitization module, and writes the digital debt into the three-dimensional storage array: the first dimension stores the latitude, longitude and altitude data of the geographic coordinates, the second dimension stores the timestamp of the time when the risk occurs, and the third dimension stores the risk type code, intensity level mark and risk reflection waveform characteristic code; the debt processing module continuously obtains the real-time positioning data of the vehicle, and matches it with the debt coordinates in the three-dimensional storage array in real time. When the vehicle enters a circular geographic fence area with a set radius centered on the debt coordinates, the debt processing module automatically activates the settlement instruction under the preset trigger conditions, and sends the settlement instruction containing the risk type code and intensity level mark to the tactile settlement module.

4. The large vehicle intelligent assisted driving vehicle terminal according to claim 3, characterized in that: The tactile settlement module receives the settlement instruction from the debt processing module and drives the target actuator according to the risk type code and risk reflection waveform characteristic code in the digital debt. The target actuator includes a steering wheel piezoelectric ceramic plate, a driver's seat airbag group and a pedal electromagnetic actuator. When the risk type code is blind spot monitoring, the steering wheel piezoelectric ceramic plate is driven to generate continuous global low-frequency waveform vibration, and the vibration range is partitioned according to the debt direction information. The left-side debt triggers vibration in the left handle area of the steering wheel, and the right-side debt triggers vibration in the right handle area. When there are debts in multiple directions at the same time, the vibration waveforms in each direction are superimposed to generate spatial vector feedback. When the risk type code is lane deviation, the seat lumbar airbag group is driven to perform three pulse contractions with fixed intervals. When the risk type code is insufficient distance to the vehicle in front, the accelerator pedal electromagnetic actuator is driven to simulate periodic increasing pressure feedback, so that the driver feels the pedal resistance gradually increasing. In addition, the central control screen of the vehicle terminal displays and plays the corresponding prompt each time the vehicle is driven. After the tactile feedback is completed, a settlement completion confirmation signal is sent to the debt processing module.

5. The large vehicle intelligent assisted driving vehicle terminal according to claim 1, characterized in that: The debt trading module responds to the driver pressing the auction button on the center console, extracts the unliquidated debt data from the debt processing module and encapsulates it into an encrypted asset package, which includes a risk type identifier, a geographic coordinate hash value, a timestamp and a strength level mark; the auction request is broadcast through a dedicated communication channel; the neighboring vehicle can return a bidding data packet after receiving the auction request, and the debt trading module receives the bidding data packet returned by the neighboring vehicle, and compares the debt settlement success rates of all neighboring vehicles according to preset matching rules, selects the vehicle with the highest success rate as the winning vehicle, transfers the debt ownership to the winning vehicle, and writes a change record containing the identity information of the winning vehicle to the debt processing module; the bidding data packet contains the neighboring vehicle identity certificate 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 trading module also communicates and coordinates with the roadside intelligent infrastructure. During the debt transaction process, it exchanges real-time traffic conditions, road construction information and potential obstacle data with the infrastructure to assist in judging the authenticity of the debt risk and the capability score of the winning vehicle.

6. The large vehicle intelligent assisted driving vehicle terminal 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. When the monitoring data matches the preset risk reflection waveform feature code, the debt processing module triggers an enhanced alarm: controls the vehicle-mounted speakers to play a warning tone with a preset frequency and volume, and at the same time drives the central control screen of the vehicle-mounted terminal to display a red flashing border at the corresponding geographic location. The enhanced alarm lasts until the preset duration or the vehicle positioning data has deviated from the set radius range of the debt coordinates to remind the driver to pay attention to the corresponding risk location.

7. The large vehicle intelligent assisted driving vehicle terminal according to claim 4, characterized in that: The tactile clearing module's steering wheel global low-frequency vibration triggers the driver to perform a conditioned reflex visual check of the vehicle's blind spots; the tactile clearing module's seat waist pulse triggers the driver's conditioned reflex to slow down on bumpy roads; The accelerator pedal gravity feedback of the tactile settlement module triggers the driver's conditioned reflex to actively increase the distance to the vehicle in front; the conditioned reflex is strengthened to form muscle memory through repeated debt settlement operations; the training of the conditioned reflex is that when the tactile settlement module triggers the tactile feedback of a specific debt type for the first time, the central control screen of the vehicle terminal is synchronously activated to display the operation instructions corresponding to the debt type; when the vehicle positioning system detects that the driver performs the guidance action, it marks the reflex training of this type of debt as completed; when the same type of debt is triggered subsequently, only tactile feedback is executed; the tactile settlement module is linked with the dynamic desensitization module. When the vehicle positioning system continuously detects that the driver has not performed a specific operation according to the instructions, or the execution response delay exceeds the system-set threshold, it determines that the driver may be inattention or fatigue, then increases the sensor sensitivity and adjusts the digital debt generation and settlement strategy.