6098results about "Bus networks" patented technology

The invention relates to the technical field of civil engineering safety monitoring, and discloses a multi-sensor fusion scaffold intelligent monitoring and early warning system and method, and the method comprises the steps: deploying a multi-source sensor group at a scaffold key node, collecting data in real time, carrying out the noise reduction fusion processing through an edge calculation module, and constructing a dynamic deformation feature vector; inputting a time sequence prediction model; a self-feedback adjusting unit is triggered to drive an executing mechanism to conduct deformation compensation, and data optimization control parameters are fed back in real time; and based on the compensated deformation state, the remote platform generates a hierarchical maintenance decision and synchronously pushes the hierarchical maintenance decision to the terminal. According to the invention, all-dimensional sensing of deformation, load and environmental parameters of the bridge supporting scaffold is realized through heterogeneous sensor cooperative networking and redundancy check. Local monitoring blind areas can be eliminated, cross validation of a physical model and a data driving algorithm is combined, the reliability of deformation monitoring and the robustness under environment interference are remarkably improved, and more comprehensive data support is provided for construction safety.

The invention relates to the technical field of data acquisition, in particular to a multi-source heterogeneous bus data acquisition protocol configuration method, which realizes protocol identification and structure analysis of CAN (Controller Area Network), Modbus and Ethernet / IP (Internet Protocol) bus data by dynamically compiling protocol source codes and registering analysis classes, and comprises the following steps of: extracting protocol feature information from a data stream; the method comprises the following steps of: calling a corresponding protocol analysis class to perform recursive analysis, and executing parameter analysis and mapping, in addition, defining a new protocol semantic feature and dynamically generating a protocol analysis plug-in through an XML (Extensible Markup Language) configuration file to realize protocol semantic-level custom extension, adopting source code level dynamic compilation and plug-in design, supporting a new protocol plug-and-play mode, and being high in practicability. System codes do not need to be modified and redeployed, and the flexibility and expandability of the system are effectively improved.

The invention relates to the technical field of vehicle-mounted communication, and discloses an intelligent identification and conversion method for a heterogeneous vehicle-mounted connector protocol. According to the method, after a vehicle-mounted connector is connected, preset disturbance signal sequences are sequentially injected, response behaviors of the preset disturbance signal sequences in a signal channel are recorded, and a corresponding response sample set is constructed by analyzing response level, time delay and feedback data. The system further archives and encodes the sample set, generates a disturbance response behavior track containing state jump characteristics, and reasones a communication protocol type and a corresponding state driving factor through track comparison. On the basis, a field stable region and a boundary change mode are extracted, a protocol adaptive sampling rule is generated, then real-time segmentation and extraction are carried out on subsequent communication data, and a standardized data frame is constructed. Finally, data format reconstruction and semantic conversion among heterogeneous vehicle-mounted protocols are realized, and communication compatibility and data intercommunication capability among various connectors are improved.

The invention provides an Internet of Vehicles vulnerability management method, system, device and medium based on a block chain, and relates to the technical field of vehicle networks, the method can comprehensively identify potential safety risks of vehicles through a dynamic and static combined vulnerability detection mechanism, and generates a structured vulnerability report; hash abstract chaining evidence storage is performed on key data of reports and subsequent repair links by using a block chain, so that the whole process of vulnerability discovery, analysis and repair is ensured not to be tampered and traceable, and the authenticity and credibility of data are improved; the integrity of the report is verified at the cloud end, and an AI analysis engine is combined to associate a CVE database and threat intelligence, so that intelligent generation and decision support of a repair scheme are realized; the hash abstract on the chain of the OTA patch is verified at the vehicle end, so that the credibility of the patch source and the integrity of the content are guaranteed; and finally, through feedback of an installation result and secondary uplink archiving, complete closed-loop management from vulnerability discovery to repair verification is formed.

The invention discloses a CAN bus intrusion detection method based on adaptive unscented Kalman filtering, and the method comprises the steps: obtaining real-time message data, and carrying out the preprocessing of the real-time message data, and obtaining a time sequence feature vector; constructing a nonlinear state space model based on the time sequence feature vector; performing unscented Kalman filtering state prediction based on the nonlinear state space model; inputting the time sequence feature vector as an actual observation value, calculating a Kalman gain to correct an unscented Kalman filtering state prediction result, and outputting a state estimation residual error; dynamically updating a process noise covariance matrix through exponentially weighted moving average based on the state estimation residual, and adjusting a measurement noise covariance matrix according to the measurement innovation sequence; calculating the mahalanobis distance of the state estimation residual error, comparing the mahalanobis distance with a self-adaptive anomaly detection threshold value, and judging whether an intrusion behavior occurs or not; and if the abnormal score exceeds a threshold value, triggering a multi-level alarm mechanism, recording a suspicious message and executing a safety protection operation.

The invention discloses an AGV (Automatic Guided Vehicle) scheduling system based on a soft bus protocol of a swan gap system and star flash wireless communication, and relates to the technical field of AGV scheduling planning, the AGV scheduling system comprises an AGV scheduling management center, and the AGV scheduling management center is in communication connection with a task management module, a communication connection management module, a global task collaborative planning module and a visual interaction module; and the task management module is used for receiving task requests, classifying, sorting and distributing tasks, and dynamically adjusting task priorities according to real-time production requirements and AGV states. According to the invention, low-delay and high-reliability communication between AGVs and between the AGVs and the scheduling management center is realized by the AGV scheduling system through a soft bus protocol of the swan Mongolian system and a star flash wireless communication technology, the communication delay is effectively reduced, the communication interruption caused by electromagnetic interference is avoided, the real-time performance of task scheduling and path planning is ensured, and the service life of the AGV scheduling system is prolonged. A solid guarantee is provided for stable operation of the AGV, and the overall response speed and reliability of the system are remarkably improved.

The invention provides a vehicle-mounted multi-communication protocol test mainboard, and the mainboard comprises a CANFD communication module which is used for transmitting a test frame to a to-be-tested device under the condition that a CANFD test instruction is received; receiving a response frame corresponding to the test frame sent by the to-be-tested device; the vehicle-mounted Ethernet communication module is used for converting the standard Ethernet test signal into a vehicle-mounted Ethernet test signal and sending the vehicle-mounted Ethernet test signal to the equipment to be tested; receiving a vehicle-mounted Ethernet response signal which is sent by the equipment to be tested and corresponds to the vehicle-mounted Ethernet test signal, and converting the vehicle-mounted Ethernet response signal into a standard Ethernet response signal; the processor module is used for generating a CANFD test instruction and a standard Ethernet test signal; and generating an equipment test report of the to-be-tested equipment according to the response frame and the standard Ethernet response signal. According to the invention, the CANFD communication module and the vehicle-mounted Ethernet communication module are integrated, and the processor module is matched to carry out coordination control, so that automatic joint testing of different communication protocols is realized.

The invention relates to the technical field of industrial operation, and discloses a multi-interface industrial control device based on an OpenHarmony industrial operating system and a control method thereof, and the method comprises the steps: scanning an interface resource list of an industrial control computer after the OpenHarmony industrial operating system is started; industrial equipment connected to each interface is automatically found according to the interface resource list, and an equipment connection table is obtained; performing protocol conversion based on the device connection table to obtain a device communication data stream, and extracting a feature data set from the device communication data stream; and calculating an interface coordination scheme based on the feature data set, issuing a control instruction to each industrial device, and collecting execution feedback to obtain unified management and control data. Unified control and remote cooperation of the industrial control equipment are realized through the OpenHarmony distributed soft bus, the conflict problem during multi-protocol concurrent access is effectively solved, and local intelligent decision and cloud resource scheduling of the industrial operation system are realized.

The invention discloses a vehicle-mounted controller network communication control system, relates to the technical field of network communication control, and effectively relieves systematic defects of a traditional vehicle-mounted network under a congestion working condition through deep coupling of a dynamic start-stop prediction model and a self-adaptive communication strategy. A probability model is constructed in real time based on brake operation characteristics, a start-stop period is accurately pre-judged, a driving instruction recombination module generates a composite control frame, and the number of redundant messages is remarkably reduced; by introducing a cross splicing technology and a verification flag bit, efficient fusion and fault-tolerant analysis of multi-source data are realized on the premise that the bandwidth is not increased; the adaptive arbitration unit intelligently optimizes bus resource allocation by dynamically closing an ACK confirmation mechanism and priority adjustment, and instruction stacking and conflicts in a high-frequency start-stop scene are avoided.

The present technology relates to fault-managed power (FMP), and particularly, to generating FMP in an industrial automation environment using single-pair Ethernet (SPE) cabling for use by DC motors. An FMP system may include transmitter circuitry and receiver circuits coupled together via a transmission link formed using SPE cable. The transmitter circuitry can generate a FMP and transmit a pulsed signal having the FMP to the receiver circuits. The transmitter circuitry can also exchange data signals with the receiver circuits over a communication channel using the SPE cable. The receiver circuits can identify an expected power consumption of DC motors coupled to the receiver circuits and provide an indication of the expected power consumption to the transmitter circuitry. The transmitter circuitry can detect a fault based on a comparison between the transmitted FMP and the power consumption and terminate transmission of the FMP in response to detecting the fault.

In a system including a plurality of in-vehicle networks, information regarding the network configuration of function units connected to different types of transmission paths can be easily used. A relay device includes: an acquisition unit configured to acquire second function unit information of the function unit connected to the second transmission path, the second function unit information being function unit information that includes information regarding a network configuration of a layer of a lower order than an application layer; and a conversion unit configured to perform a conversion process of converting the second function unit information acquired by the acquisition unit into information that is able to be registered into a database of one or a plurality of pieces of first function unit information being function unit information of one or a plurality of the function units each connected to a corresponding first transmission path.

The invention provides a network malicious behavior message backtracking generation method and system based on information guidance, and the method comprises the steps: firstly collecting an original flow data set of a target network node, which comprises a plurality of groups of communication protocol identifiers and corresponding load content sequences, extracting transmission features of the original flow data set, and obtaining protocol identifier distribution features and interaction time sequence track features; and calling an abnormal traffic detection model based on the protocol identifier distribution characteristics and the interaction time sequence track characteristics to judge malicious behaviors, and obtaining abnormal traffic data and an attack stage tag sequence. Performing behavior feature vector mapping processing on the abnormal flow data according to an attack stage label sequence to generate a behavior feature vector set, and finally constructing a multi-level association network based on the behavior feature vector set, generating a message backtracking path and outputting a malicious behavior message backtracking chain. Therefore, the malicious network behavior message can be backtracked accurately and efficiently, and the network security protection capability is improved.

A power-over-Ethernet (PoE) PD / PSE device comprises a powered device (PD) interface configured to connect to an upstream power sourcing equipment (PSE) and receive input PoE power from the PSE, and a PSE interface configured to connect to a downstream PD and to supply output PoE power to the PD. The PD / PSE also comprises a device power rail to supply operational power to one or more components of the PD / PSE, and a DC-DC converter comprising a multi-output transformer comprising a transformer input, a first transformer output electrically connected to the PSE interface, and a second transformer output electrically connected to the device power rail. The DC-DC converter is configured to receive the input PoE power and, in response, supply the input PoE power to the transformer input, generate the output PoE power at the first transformer output, and generate the operational power at the second transformer output.

The invention discloses an electric two-wheeled vehicle anti-refitting system and equipment based on binding of a dynamic key and hardware, and belongs to the technical field of electronic safety control. The system comprises a master control module which is used for generating a challenge code and determining the legality of the hardware identity of a slave module based on a verification response value under the condition that the verification response value corresponding to the challenge code is received; a plurality of slave modules for receiving the challenge code and calculating a verification response value based on the SEID; the communication module is used for performing communication encryption on data transmitted by the master control module and the slave module based on a session key; the master control module is integrated with a secure element SE, and the secure element SE is used for generating a session key based on a PUF root key and a random number. A protection system of hardware binding and key distribution is constructed through a safety element SE of the main control module, and full-life-cycle safety protection is provided for the electric two-wheeled vehicle.

The invention discloses an Internet of Vehicles intrusion detection method based on hierarchical feature enhancement and a dynamic sparse attention mechanism, and the method comprises the steps: firstly obtaining an original CAN bus message data stream, and carrying out the multi-modal data preprocessing and hierarchical feature construction; secondly, for hierarchical features, performing message-level depth feature compression and space-time statistical feature enhancement by adopting a dual-channel feature compression mechanism to form an enhanced mixed feature vector, and then constructing a neural network model of a dynamic sparse attention mechanism based on content awareness to perform feature extraction; and inputting a sparse attention calculation result into a hierarchical classifier, and predicting and outputting a detection result. And training the network model, and deploying the trained network model in a vehicle-mounted embedded device to realize real-time message monitoring and intrusion detection. According to the method, the calculation complexity and parameter quantity of the model are greatly reduced, the real-time performance in a vehicle-mounted environment is remarkably improved, and the detection capability on complex hidden attacks is effectively improved.

The invention provides a fire-fighting bus communication method and system and a storage medium, and relates to the technical field of communication, the method comprises the following steps: sending a communication instruction to a group of slaves, the communication instruction comprising a plurality of pulse digital logic bits having a preset sequence; when any pulse digital logic bit is sent, synchronously monitoring whether a response signal sent by a slave exists or not; when a target response signal sent by a target slave is monitored, a target slave address of the target slave corresponding to the pulse digital logic bit sent when the target response signal is received is obtained, and the target slave is any one slave or a plurality of slaves in the group of slaves; and performing preset emergency processing on the target slave according to the target slave address. By implementing the technical scheme provided by the invention, the technical problem that the speed of acquiring the slave address needing to be reported in an important state on the bus by the current fire-fighting bus host in a polling manner is relatively low is solved.

In an aspect, systems and methods of connected nodes, including electronic control units (ECUs) in a vehicle, integrate remote direct memory access (RDMA) capabilities with time-sensitive networking (TSN) traffic shaper configurations in a manner that guarantees lossless, bounded-latency critical traffic (CT) streams, while also allowing for different classes of traffic to flow through the connected nodes. In another aspect, mechanisms are introduced to enable an automotive software framework (e.g., classic AUTOSAR) to support RDMA communications.

The invention relates to the field of rail traffic intelligent control, and discloses a rail obstacle real-time detection and braking system based on multi-sensor redundancy, which comprises at least two groups of sensing modules arranged at the front end and the rear end of a train, and each group of sensing module comprises a laser radar used for collecting three-dimensional point cloud data of a forward or backward rail area of the train; the binocular camera is used for acquiring color image data and depth image data in corresponding directions; and the robot controller is in communication connection with the sensing module and is used for receiving sensing data acquired by the laser radar and the binocular camera and executing obstacle recognition, redundant information fusion and brake control logic. By constructing a multi-sensor redundancy sensing structure based on the laser radar and the binocular camera, high-robustness recognition of a dynamic or static obstacle target in a complex orbit environment is realized, and the effect of remarkably improving the obstacle detection accuracy and the false alarm suppression capability is achieved.

The embodiment of the invention provides a multi-device cooperative control method and system based on a bus communication protocol, and belongs to the field of multi-device cooperative control of the bus communication protocol. The method comprises the steps of collecting multi-modal data, extracting event data, analyzing event metadata, obtaining an event influence radius and an event type, grading events according to the event influence radius and the event type, and obtaining an event arbitration result through a dynamic arbitration mechanism based on a graded event list. According to the event arbitration result, distributed space-time collaborative decision making is carried out, and a collaborative group execution scheme is obtained; and based on the graded event list, sending the cooperative group execution scheme to corresponding equipment to complete multi-equipment cooperative control. According to the method, event grading is realized through the three-dimensional evaluation matrix, instant response of high-priority events is ensured in combination with a dynamic arbitration mechanism, and the real-time performance and reliability of multi-device collaboration are remarkably improved by adopting a distributed space-time collaborative decision-making system.

The invention discloses a bus communication inspection method based on a master-slave communication mode and related equipment, and relates to the field of communication. The method comprises the following steps: determining a starting slave from a plurality of slaves; an inspection command frame is generated based on the address of the starting slave, and in the inspection command frame, the receiving address is the address of the starting slave, and the sending address is the address of the host; after the inspection command frame is sent to the bus, data transmitted on the bus is monitored, starting slave response data from the starting slave are obtained, and a slave target address in the starting slave response data is the address of the next to-be-inspected slave; after the starting slave response data are received, data transmitted on the bus are continuously monitored, current slave response data from the current slave are obtained, and a slave target address in the current slave response data is the address of a next to-be-inspected target slave after the current slave. According to the invention, more efficient and real-time bus communication inspection can be realized, and the problem of slow response of host inspection is relieved.

An embodiment intrusion detection system for detecting intrusions in an in-vehicle network includes a message queue module configured to store network messages collected from the in-vehicle network in a message queue, a memory configured to securely store a ruleset comprising a set of detection rules used in a plurality of detection techniques, a rule engine configured to apply the plurality of detection techniques to the collected network messages to detect security events and configured to determine a severity score and a reliability score for each detected security event, and an interface manager configured to transmit detection reports to a remote backend server in response to detection of the security events.

The invention relates to an audio control system and method based on a multi-area framework and a vehicle, the system comprises a central controller and a plurality of area controllers connected with the central controller, the central controller comprises a first Ethernet module, and each area controller comprises a second Ethernet module, a first microcontroller and a power amplifier driving module. The central controller is configured to carry out data protocol packaging on the first audio data and then transmit a first Ethernet protocol data packet to each area controller. The first microcontroller is configured to receive a first Ethernet protocol data packet transmitted by the central controller, analyze the first Ethernet protocol data packet, and transmit first audio data to the power amplifier driving module. The power amplifier driving module is configured to amplify the first audio data and then drive the audio output device to output the amplified first audio data. The problems that an existing audio control system is complex in communication link, too long in wire harness and the like can be effectively solved.

The invention relates to a multi-stage extension method and device for an IO-Link slave station, computer equipment and a storage medium. The method comprises the following steps: constructing a chained encapsulation path for process data transmission in an IO-Link first-stage slave station; the first-stage slave station receives the output process data sent by the master station and transmits data segments, which do not belong to the ontology, in the output process data to the lower-stage slave station in an unvarnished transmission manner; the last-stage slave station collects input process data and uploads the input process data to the upper-stage slave station, and each middle slave station receives the input process data sent by the lower-stage slave station, splices the input process data of the stage to the input process data and uploads the input process data to the first-stage slave station stage by stage; the first-level slave station uploads a complete data frame to the master station when completing input data aggregation; and when any slave station detects that the lower-level module is offline, initiating re-scanning according to pre-stored structure mapping information, and reconstructing a data encapsulation path and recovering a forwarding process after identifying the corresponding module. The method and the device have the effect of improving the inter-site communication efficiency.

The invention discloses an engineering vehicle safety simulation and prediction system based on digital twinning, and the system comprises a data collection layer which collects multi-source heterogeneous data in real time; in the knowledge graph layer, a streaming inference engine is constructed based on an Apache Jena graph database, and an entity-relationship-attribute triple dynamic graph structure is adopted; according to the AI model layer, a physical rule serves as a loss function constraint term to be embedded into a neural network through a physical information neural network, a digital organ model concept is combined to split a vehicle into key organs for heterogeneous modeling, a simplified physical model is adopted in the core physical process, and an LSTM-AI model is adopted in external behaviors; the explanatory analysis layer is used for integrating an SHAP / LIME explanatory tool to output a visual evidence chain during fault prediction, and deploying an online incremental learning framework to allow the model to learn from new data and dynamically adjust normal range definition; and the visualization and application layer is used for performing three-dimensional visualization rendering based on WebGL or Three.js, and ensuring data transmission security through block chain evidence storage and end-to-end encryption.

The invention discloses an Internet of Vehicles CAN bus intrusion detection method based on noise perception active learning, and belongs to the technical field of Internet of Vehicles safety and machine learning. The invention aims to solve the technical problems of false label noise interference, high manual labeling cost, high attack missing report rate caused by class imbalance and the like. The core of the method is to execute a noise sensing mixed query strategy in an iterative loop: firstly, generating a pseudo tag through clustering and correcting by using an integrated noise detector; secondly, calculating uncertainty scores and noise probabilities of the samples, fusing the uncertainty scores and the noise probabilities to obtain a comprehensive score, and preferentially selecting the samples with high uncertainty and low noise probabilities; and then adaptively selecting a sampling strategy according to the model performance and applying category balance constraint. The query batch is used to iteratively update the model while dynamically adjusting the classification threshold to reduce the missing report rate. According to the method, the influence of pseudo label noise can be effectively suppressed, and the attack detection precision and generalization capability are remarkably improved with extremely low labeling cost.

The invention provides a vehicle-mounted passive optical network area gateway and a protocol conversion method. The gateway comprises an interface module which comprises a plurality of communication interfaces, wherein the communication interfaces are used for receiving messages of a low-speed network protocol; the data processing module adopts an FPGA (Field Programmable Gate Array) core board and is used for receiving a message, extracting effective information from the message, packaging the effective information to obtain an Ethernet protocol frame and converting the Ethernet protocol frame into an SDU (Service Data Unit); and the ONU optical module is used for performing data link layer processing on the SDU to obtain an uplink FS burst frame, and performing physical layer processing on the uplink FS burst frame to obtain a burst mode optical signal frame. The gateway can realize data access of multiple paths of CAN nodes, LIN nodes and vehicle-mounted Ethernet nodes at the same time, meets the communication protocol conversion function of low-speed nodes in each region in a real vehicle environment, and is integrated into a whole vehicle all-optical backbone network. The method is used for converting data complying with a low-speed network protocol into data complying with an XGS-PON protocol.

The invention provides a bus communication protocol optimization method based on a time division multiplexing technology, which relates to the technical field of bus communication, and comprises the following steps: calculating a time sequence difference value of each pair of nodes according to data packet node information; dividing a time sequence difference value matrix, and dynamically calculating the variable quantity of the weight of a time sequence difference value; performing static time slot division according to a fixed period; dynamic time slot resource allocation is carried out through a time division multiplexing technology in combination with the node pair weight change table; potential time slot conflicts are predicted in combination with historical conflict rate statistical data, and the backoff time is dynamically adjusted. According to the method, node time sequence data are collected in real time, a time sequence difference matrix is constructed, and node weight variation is dynamically calculated in combination with an STDP mapping mechanism, so that intelligent allocation of time slot resources is realized; through a hybrid backoff algorithm of exponential backoff and fixed window constraint, the average conflict probability of a high-conflict time slot group is greatly reduced, the delay fluctuation of a low-conflict time slot group is controlled within a low fluctuation range, and the real-time response and long-term stability of the system are both considered.

The invention provides a real-time synchronous control method and system based on an EtherMAC bus, and the method comprises the steps: obtaining an original transmission frame sequence in a bus transmission channel through a monitoring unit; calculating a path topology priority factor and a clock offset compensation value according to a preset topological structure rule; obtaining a to-be-transmitted data frame sequence based on a calculation result, and adjusting a phase synchronization pulse in the monitoring unit to obtain an adjusted phase synchronization pulse; performing redundancy check on the to-be-transmitted data frame sequence to generate a check state code; when the value reaches a preset error threshold value, extracting a to-be-marked frame from the to-be-transmitted data frame sequence, and generating a synchronization signal set containing a high-reliability identifier; generating a real-time synchronization control instruction for driving the execution terminal based on the phase synchronization pulse and the adjusted phase synchronization pulse; according to the technical scheme provided by the invention, real-time monitoring, frame reconstruction and clock synchronization adjustment of data transmission are realized, and high-precision synchronization response of terminal control is improved.

The invention provides a CAN bus message period adjusting method and system based on dynamic load balancing, and the system measures and calculates a network load rate and an error state through a network load real-time detection module, carries out the priority grade division and parameter configuration for different messages, carries out the load partition definition according to the load rate, and carries out the adjustment of the CAN bus message period. And dynamically adjusting a message sending period according to a measurement result, adding a feedback mechanism to realize closed-loop control, and finally realizing load balancing of the system.

The invention discloses a 5G base station optical storage integrated power supply control system, and relates to the field of 5G base station optical storage integrated power supply control, and the system comprises a detection module which detects the output voltage of a photovoltaic array, the SOC of an energy storage battery and the impedance parameter of a DC bus, and obtains a detection result; and the 5G wireless sensing module monitors reference signal receiving power and channel state information by initializing a 5GNR physical layer chip based on a detection result, transmits the reference signal receiving power to the micro-control unit through an SPI interface, and reads the maximum power point voltage and current of the photovoltaic module to obtain a time sequence and a photovoltaic array. According to the method, the Lyapunov exponent is solved through phase-space reconstruction and the Wolf algorithm, the chaos state flag bit and the load impedance are generated, the parameters of the LLC resonant converter are dynamically matched, the nonlinear dynamics theory is applied to the field of power supply control, the working modes can be adaptively switched through intelligent recognition and utilization of chaos features, and the power supply efficiency is improved. And optimal scheduling of energy is realized while the ZVS state is ensured.