187 results about "Vehicle bus" patented technology

The invention discloses a wiper motor health state early warning system based on big data, and particularly relates to the technical field of electrical equipment state monitoring and fault diagnosis, which comprises a data acquisition module, a state interface module, a data preprocessing module, a data analysis module, an early warning decision module and an early warning information output module, electrical parameters such as current, voltage, temperature and rotating speed are collected through a sensor, and a feature set is generated through preprocessing in combination with vehicle bus working condition data; comparing the real-time electrical characteristics with a pre-stored baseline model and a fault mode library, calculating a health score based on a mahalanobis distance algorithm, identifying a fault and predicting the life; and generating graded early warning according to a multi-level threshold strategy, and outputting the graded early warning through a vehicle-mounted interface and a remote monitoring center. According to the invention, early, accurate and predictive early warning of the health state of the motor is realized, and the accuracy of state evaluation and the reliability of the system are improved.

The invention discloses a vehicle blind area dynamic enhancement and warning system for a low-light environment, and relates to the technical field of automobile active safety, and the system comprises a short wave infrared imaging module which is used for capturing a passive thermal feature image of a scene behind the side of a vehicle; the multi-source signal acquisition module is used for acquiring a vehicle bus signal representing a vehicle motion state and an operation intention of a driver in real time; the data processing and risk assessment module is connected with the short wave infrared imaging module and the multi-source signal acquisition module, and is used for performing fusion processing on the thermal feature image and the vehicle bus signal, identifying a blind area target and calculating a dynamic risk level of the blind area target; the grading warning and intervention module is connected with the data processing and risk assessment module; the short-wave infrared imaging technology which is sensitive to night light and high in anti-interference capacity is adopted, the imaging problem under extremely low illumination is fundamentally solved, and stable detection of vehicles and pedestrians in a long distance in a completely light-source-free environment is achieved.

The present application belongs to the technical field of vehicle mass online estimation, in particular to a vehicle mass online estimation method based on fuzzy logic and weighted least square method, comprising the following steps: 1) obtaining longitudinal acceleration sensor measurement value signal, longitudinal speed signal, engine output torque signal, gear signal, throttle opening signal, brake pedal signal and steering wheel angle signal from vehicle CAN bus; 2) correcting the measurement value of longitudinal acceleration sensor; 3) calculating equivalent driving force and equivalent acceleration; 4) calculating working condition fitness degree by using fuzzy logic algorithm; 5) estimating vehicle mass by using weighted least square method; and 6) suspending and starting vehicle mass estimation. The structure is reasonable, and the accuracy and working condition adaptability of vehicle mass online estimation can be improved during use.

The invention belongs to the technical field of vehicle control, and particularly relates to a high-speed scene automatic driving performance analysis method and system for a heavy-duty commercial vehicle, and the method comprises the steps: synchronously collecting the current positioning data, camera image data, vehicle bus signals and inertial navigation data of the heavy-duty commercial vehicle in an automatic driving process in a high-speed scene; generating a transverse track, a longitudinal track and an oil consumption time sequence data set which are in space-time alignment based on the collected data; a three-in-one evaluation system of transverse safety, longitudinal response and fuel economy is constructed by calculating transverse safety margin and lane centering stability in the step S2, calculating longitudinal response delay and aging deviation in the step S3 and fuel consumption deviation per hundred kilometers in the step S4. And each dimension is quantified through a clear formula, so that the evaluation result is traceable and reproducible, and the comprehensive performance of the automatic driving system in a high-speed scene is comprehensively reflected.

The invention discloses a vehicle door unlocking method for a new energy vehicle, which comprises the following steps: acquiring a vehicle hard wire signal sent by a safety airbag system of a target vehicle through a vehicle hard wire of the target vehicle and a vehicle bus signal sent by the safety airbag system through a vehicle bus of the target vehicle, the vehicle collision state of the target vehicle is determined according to the vehicle hard wire signal and the vehicle bus signal, and the vehicle collision state comprises a collided state and a non-collided state; and when the current vehicle state is the collided state, the automatic collision unlocking operation is triggered to unlock the at least one vehicle door lock of the target vehicle, so that the accuracy of vehicle collision unlocking recognition can be improved, and the driving safety of a user is improved.

The invention discloses an intelligent management system and method for a vehicle-mounted air conditioner, and relates to the technical field of vehicle environment control systems.The system comprises a multi-mode environment sensing module, a passenger thermal comfort degree dynamic evaluation module, a thermal load prediction and energy efficiency optimization module, an intelligent actuator cooperative control module and a central processing and data fusion unit; the method comprises the following steps: acquiring environment and physiological data through a multi-source sensor; a deep neural network model is utilized to classify and recognize the thermal sensation state of the passenger, and a unified dynamic comfort index is generated; combining vehicle bus data and navigation information to predict a future cabin thermal load, and constructing a multi-target optimization problem with energy consumption minimization as a target; solving an optimization problem to generate an optimal control strategy combination; and an actuator is driven to cooperatively act through a closed-loop control algorithm. The method improves the recognition precision of the real thermal feeling of the passengers, reduces the energy waste, optimizes the comfort and energy efficiency in a collaborative manner, and reduces the average operation power consumption of the air conditioning system by more than 15%.

The invention provides an automobile bus safety detection system and method based on a commercial password technology. The system comprises a bus data acquisition module, a configuration temperature compensation crystal oscillator and a double DDR4 buffer pool; the protocol analysis engine is used for integrating a predefined analyzer and a BiLSTM-based custom protocol recognition model; the cryptographic protocol identification module is used for monitoring and identifying a cryptographic protocol through the protocol characteristic matrix and the Shannon entropy; the password compliance detection module is used for loading a national password GM / T standard library to execute algorithm identifier verification; the key security analysis module is used for implementing key entropy grading detection and life cycle analysis; the simulation attack module is used for dynamically adjusting an attack strategy according to the environmental risk factors; and the auditing and reporting module generates a visual compliance report. According to the method, automatic security detection of automobile bus password communication is realized through seven steps of data acquisition, protocol analysis, password identification, compliance detection, key analysis, attack simulation and report generation, and the problem that a traditional tool cannot detect password compliance and key security is solved.

The invention discloses an immersive off-road mode switching mode, and relates to the field of vehicle electronic technology and intelligent cabin man-machine interaction, and the method comprises the steps: responding to a switching instruction, and controlling a virtual camera to move towards an off-road scene along a planned path while preloading resources. The system divides a control state according to a transition progress: in a pre-interaction state that resources are ready but transition is not completed, the off-road instrument assembly is controlled to fade in display and open input, a user pre-operation instruction is temporarily stored in an instruction buffer queue through de-duplication logic, and a physical signal is temporarily not issued through a vehicle bus interface; and when the transition time is over and a fully activated state is entered, the queue is locked, and an instruction is converted into a standard protocol data unit to be sent to a chassis electronic control unit. Through the staged state machine and instruction buffer logic, three-dimensional visual rendering and a bottom layer control time sequence are decoupled, and continuity of interactive operation and deterministic transmission of a control instruction are realized while scene switching smoothness is ensured.

The invention discloses an automobile intelligent diagnosis method based on a knowledge-enhanced large language model, and the method is characterized in that the method comprises the following steps: S1, vehicle data collection and preprocessing: collecting a fault code set, a sensor signal, an ECU log, a CAN message and a user natural language description in real time through a vehicle bus and a diagnosis interface, performing denoising, normalization and time synchronization preprocessing on the acquired data to form a diagnosis input set Xt = {D, St, Lt}, D being a fault code set, St being a sensor signal data stream, and Lt being a language description of a user or a maintenance technician; s2, knowledge base construction and management: constructing a unified automobile knowledge graph G = (V, E) and a text knowledge base K; according to the automobile intelligent diagnosis method based on the knowledge enhancement large language model, semantic level diagnosis capability is improved, semantic association of fault codes, sensor data and natural language description can be fused, deep understanding of cross-modal data is achieved, and the problem of data isolation of a traditional model is solved.

The present application belongs to the field of vehicle control system security technology, and particularly relates to a vehicle CAN bus anti-intrusion method and device. The method adds a watermark to the control command sent by the vehicle master control module through a watermark control module and transmits the control command to the execution component control module through the CAN bus. The execution component control module judges whether there is illegal intrusion by performing watermark detection on the received control information. The present application can avoid illegal attackers from sending illegal commands to the vehicle execution components through the CAN bus, thereby improving the safety of the vehicle.

A vehicle load power distribution control method and apparatus, and a computer program product. The method comprises: when it is detected that a certain load of a vehicle has a fault, automatically turning off a power distribution port of a power distribution unit for the load; identifying whether a state transition triggered on the basis of an operation of a driver is present on a vehicle bus communication network; and when the state transition is identified, sending a power-on request to the power distribution unit for the load, so as to restore the power distribution of the load. By means of restoring an abnormally disabled power distribution function from an unconscious habitual operation of a customer during traveling, the restoration process becomes imperceptible, thereby greatly mitigating adverse experience of customers. Fault recovery can also be performed without stopping, thereby significantly improving the safety and convenience of traveling, and providing a smoother and more comfortable driving experience for drivers.

The application discloses a kind of intelligent wiper control method and system, car, wherein method includes obtaining wiper switch signal and vehicle information on vehicle CAN bus;Based on wiper switch signal, it is judged whether to start the automatic control of wiper;After judging to start the automatic control of wiper, the theoretical wiping speed of wiper is calculated based on the vehicle information read on vehicle CAN bus, and the wiper motor is controlled according to the theoretical wiping speed of wiper.The application has the advantages that the rain sensor is cancelled, the purpose of low-cost wiper control is realized, the control of wiper is realized through logic control, and the cost of wiper control is saved.

The invention relates to a vehicle-mounted video management system suitable for an extremely cold region. The vehicle-mounted video management system comprises a terminal storage layer, a data transmission layer and a platform management layer, the terminal storage layer is integrated with a double-hard-disk redundant storage unit, a low-temperature self-adaptive heating module, a video acquisition module, an intelligent control module and a video data processing unit; the data transmission layer realizes bidirectional data interaction with the 4G / 5G communication module through a vehicle bus; the platform management layer is a cloud management platform and has the functions of equipment panoramic monitoring, operation and maintenance work order automatic management and multi-dimensional data analysis. Through the PTC heating module and the constant-temperature control logic, the problems that traditional equipment is difficult to start at low temperature and unstable in reading and writing are solved, wide-temperature stable operation from-40 DEG C to + 70 DEG C, a double-hard-disk redundant architecture and a logic reconstruction algorithm are achieved, it is ensured that data are not lost when a single hard disk breaks down, the data perfectness rate is increased, the video reading rate is increased, and the service life of the equipment is prolonged. And end-cloud cooperative fault closed-loop management is realized, and automatic fault inspection, real-time alarm and forced shutdown are realized.

The invention provides a vehicle seat adjusting method, system and device, a multimedia controller and a medium, and relates to the technical field of vehicle control. The method comprises the steps that an initial adjusting instruction sent by a driving user is received in response, and the instruction is input into a seat instruction generation model; the instruction is subjected to semantic analysis through the model, a target adjusting instruction is generated, the semantic definition of the target adjusting instruction is higher than that of the initial adjusting instruction, and the target adjusting instruction conforms to an instruction format defined by a vehicle bus communication protocol; the target adjusting instruction is sent to a vehicle body domain controller of the vehicle, and the vehicle body domain controller is used for controlling the vehicle seat to execute corresponding adjusting operation according to the target adjusting instruction so that the vehicle seat can reach the target seat state. According to the method, the fuzzy or compound instruction sent by the driving user is intelligently analyzed by utilizing the seat instruction generation model, and compared with a mode of mainly relying on memorizing and calling of the pre-stored position in the related technology, the flexibility of seat adjustment is remarkably improved.

The invention discloses a distraction prompting method, a related device, equipment and a storage medium, and the method comprises the steps: carrying out the real-time detection of a driver based on a driver state monitoring system, and obtaining a detection result; in response to the fact that the detection result represents that the driver has a distraction behavior, performing analysis based on first data of a vehicle sensor to obtain a body action of the driver in a target time period, performing analysis based on second data of a vehicle bus to obtain a control action of the driver in the target time period, and obtaining a distraction scene library associated with the driver; wherein the target time period includes that when the driver is detected to have the distraction behavior, the body action does not act on the current vehicle, and the control action acts on the current vehicle; and determining whether to output a prompt message for reminding that the distraction behavior exists based on the body action, the control action and the distraction scene library. According to the scheme, the personalized adaptability of the DMS to different drivers can be improved, and the misjudgment rate is reduced.

The invention relates to the technical field of state monitoring of new energy trucks, and particularly discloses a real-time online monitoring system for the running state of a new energy truck and a working method.The system is characterized in that a vehicle-mounted sensor is connected with a vehicle-mounted controller, the vehicle-mounted controller is connected with a vehicle CAN bus system, the vehicle CAN bus system is connected with a vehicle-mounted wireless terminal, and the vehicle-mounted wireless terminal is wirelessly connected with a mobile phone APP; computational logic is built in the mobile phone APP; vehicle state information recognized by the vehicle-mounted sensor is sent to the vehicle-mounted controller in an electric signal mode; the vehicle-mounted controller identifies the electric signal and forms message information, the vehicle-mounted controller informs a vehicle CAN bus system of the current state of the whole vehicle by sending the message information, and the vehicle-mounted wireless terminal reads the state information; the vehicle-mounted wireless terminal transmits the information to the mobile phone APP through a wireless signal and displays the information in a page; according to the invention, the user and the motorcade management background can conveniently know the real-time state of the vehicle, and the management of the vehicle and the use of the user are greatly facilitated.

The invention discloses a high-voltage relay early fault diagnosis method and a computer program product, and the method comprises the steps: obtaining the historical fault data of a high-voltage relay and the historical data of a vehicle bus, carrying out the rule characterization processing of the historical fault data, and obtaining the rule feature data, training by adopting rule feature data and vehicle bus historical data to obtain a hybrid neural network model, obtaining current data of a high-voltage relay and real-time data of a vehicle bus, inputting the current data and the real-time data of the vehicle bus into the hybrid neural network model to obtain a fault early warning signal, and obtaining a fault early warning result by fusing rule features and multi-source bus data. Dynamic modeling of the operation state of the high-voltage relay is achieved, early degradation characteristics such as contact resistance micro change and action delay can be captured, model training and prediction can be completed without labeling of a large number of early fault samples, the defects that early warning is lagged in a traditional threshold method, and machine learning depends on labeled data are overcome, and the accuracy of early warning is improved. And the early fault identification precision and the system reliability are improved.

The invention discloses a fault detection method, device and system for a vehicle-mounted battery cell side system, and belongs to the technical field of new energy automobile battery safety. The method comprises the following steps: acquiring basic data through a sensing layer sensor, acquiring auxiliary data through a vehicle bus, and performing validity verification on the acquired data; carrying out filtering, normalization and data fusion processing on the collected data; basic faults are judged and recognized based on threshold values, complex faults are recognized through a neural network model, and basic fault and complex fault recognition results are subjected to cross validation; matching the fault levels according to the fault types and the number, and carrying out secondary verification and confirmation on the judgment result; and generating a corresponding instruction according to the fault level, sending the instruction to an execution layer through a bus, and receiving execution feedback. According to the invention, accurate detection, staged processing and rapid response of the battery cell fault are realized, and the safety and reliability of the new energy automobile power battery are effectively improved.

1. The name of the design product: multifunctional vehicle bus analyzer. 2. The use of the design product: special test equipment for stability and safety of train system in rail transit. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a vehicle bus data processing method, comprising: receiving an original message data file with a predetermined format uploaded on a vehicle side, wherein the original message data file contains original message data of a vehicle controller; performing first parsing on the original message data to obtain a first parsing result; performing second parsing on the first parsing result based on a pre-stored signal description file to obtain a second parsing result; and storing the second parsing result to a database to form a data platform. The application automatically receives, parses twice and stores vehicle bus data, converts complex original message data on the vehicle side into structured information which can be directly used, greatly simplifies a vehicle data processing flow, reduces dependence on specific hardware and software, and improves efficiency and accuracy of data analysis.

The invention relates to the technical field of transport vehicle electric appliance testing, and provides a general transport vehicle whole-vehicle electric appliance fault simulation system which comprises a fault scene configuration unit, a multi-protocol self-adaption interaction unit, an electric appliance fault simulation unit, a whole-vehicle bus closed-loop simulation unit and a fault triggering and feedback unit. The fault scene configuration unit generates a reusable fault script; the multi-protocol adaptive interaction unit realizes seamless communication adaptation; the electric device fault simulation unit accurately simulates various faults; the whole vehicle bus closed-loop simulation unit ensures that fault propagation is real; the fault triggering and feedback unit realizes fault triggering and closed-loop verification, supports visual configuration of multi-type fault scenes and generation of reusable scripts through a built-in multi-vehicle-type electric appliance topology template library, can adapt to different vehicle types, is short in matching time consumption, is high in fault simulation precision, can accurately simulate various faults, and is high in reliability and high in reliability through combination with the multi-protocol self-adaptive interaction unit. The fault simulation universality and accuracy are greatly improved, and the test cost is reduced.

The application relates to a function safety and expected function guarantee method and system of a vehicle-mounted bus, relates to intelligent driving safety technology, and comprises the following steps: collecting an operation state signal of a main computing unit; performing fault diagnosis based on the operation state signal to obtain a fault level; determining a safety response strategy according to the fault level; collecting environment perception data and a credibility evaluation value; performing expected function safety risk evaluation by combining the environment perception data and the credibility evaluation value to obtain a risk level; matching a corresponding expected function safety processing strategy according to the risk level; and controlling a safety island hardware and the main computing unit to cooperatively execute the safety response strategy and the expected function safety processing strategy, so that dual guarantee of function safety and expected function safety is realized. The application has the effect of improving the overall safety of a system.

The invention discloses a driver behavior real-time analysis and early warning system based on an end-side AI. The system is deployed on a vehicle-mounted terminal and comprises an end-side integrated hardware platform which integrates a special AI calculation unit, a multi-source data synchronization interface and a local early warning output interface; the multi-modal data sensing module is used for collecting in-vehicle vision, millimeter wave radar and vehicle bus data in real time; the localized fusion analysis engine is solidified and operated in the AI calculation unit, performs parallel feature extraction and space-time fusion analysis on the multi-modal data, and outputs a dangerous behavior recognition result and grade evaluation; and the embedded grading early warning actuator triggers differentiated grading early warning actions according to the evaluation result and the real-time vehicle state. According to the system, full-process vehicle end processing is realized, network dependence and data privacy risks are effectively overcome, the recognition accuracy of complex dangerous behaviors is improved through multi-source information fusion, and the effectiveness of safety intervention and the driving acceptance are enhanced by means of a dynamic grading early warning mechanism.

The invention relates to the technical field of data transmission, in particular to a bus message sending method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining a data source identifier for transmitting data from an application layer or an intermediate layer; positioning a data source position according to the data source identifier, acquiring current moment data from the data source position, and storing the current moment data to a target buffer region corresponding to the software module; and assembling the data of the target buffer area into a bus message, and sending the bus message to a bus. Therefore, the problems of low real-time performance, poor integrity, poor consistency and the like of vehicle bus data caused by processing flows such as occupation of a sending interface, copying and transmission of middle-level data and the like in a data transmission process are solved.

A system for implementing a vehicle bus virtual channel, comprising: a computer device, configured to execute client processes and a service end process; wherein, the client processes are configured to send a registration request data packet to the service end process, send a heartbeat packet to the service end process at a particular time interval, and send a vehicle bus packet to the service end process; the service end process is configured to: receive the registration request data packet, the heartbeat packet, and the vehicle bus packet from a client process, set a timestamp of the vehicle bus packet and send the vehicle bus packet back to the client process while modifying a direction attribute of the vehicle bus packet to sending; at the same time, send the vehicle bus packet to other client processes and modify the direction attribute of the vehicle bus packet to receiving.

A user-defined key control device for an automobile steering wheel and a universal steering wheel, the device comprises a plurality of keys mounted on the steering wheel, a main control module used for receiving input signals of the keys and converting the key input into corresponding control output signals according to a preset mapping relation, and a control module electrically connected with the main control module and used for controlling the input signals of the keys. The communication interface module is used for sending the control output signal to a vehicle-mounted system through a vehicle bus and is used for establishing communication connection between the main control module and an external mobile terminal; and the wireless communication module, the power management module and the OBD data acquisition module are used for enabling a user to carry out customized configuration or remote updating on the function of each key through the mobile terminal. The embodiment of the utility model solves the problems that the traditional steering wheel key is fixed in function and poor in expansibility; the system has the advantages of supporting a user-defined key function, being compatible with various vehicle-mounted bus protocols, realizing remote configuration updating and providing stable multi-stage power supply.

The invention provides an active noise control system for a vehicle exhaust system and a working method.The active noise control system comprises a control unit, a sound source emitter and an error microphone, the control unit obtains the real-time rotating speed of an engine through a vehicle CAN bus, the sound source emitter is arranged in a pipeline of the exhaust system, and the error microphone is arranged in the pipeline of the exhaust system; the sound source emitter is arranged in the engine and is in communication connection with the control unit, and the sound wave transmission direction of the sound source emitter is opposite to the noise transmission direction of the engine; and the error microphone is arranged in the exhaust pipeline at the downstream of the sound source emitter and is in communication connection with the control unit. The problems that an existing silencer is large in size, and the space and the silencing effect cannot be considered at the same time are solved.

This application discloses a diesel vehicle exhaust particulate separation device and dynamic optimization method based on a dual-frequency sound field. The device has a dual-frequency broadband sound source installed at the inlet of the separation chamber and a dual-wavelength laser monitoring component installed at the outlet, directly connected to the vehicle's CAN bus via a controller. Overcoming the lag of traditional single-frequency blind scanning, it proposes a feedforward initial frequency-feedback frequency modulation closed-loop control strategy: millisecond-level feedforward initial frequency preset is achieved by analyzing engine speed and load signals using a programmed MAP library; red and blue dual-wavelength lasers are used to track the transmittance changes of large and small particles respectively, and a fractional-order update law with an anti-overshoot exponent is introduced to perform microsecond-level dynamic closed-loop optimization of the sound frequency; the power of the fundamental frequency and high-frequency harmonics is dynamically allocated according to the differences in particle concentration of different particle sizes. It possesses functions of prior perception, rapid response, and prevention of getting trapped in local optima, improving the separation efficiency of a wide range of particulate matter of all sizes and effectively reducing the risk of clogging and replacement cycle of particulate filters.