4940 results about "Data messages" patented technology

The invention discloses a power distribution network line fault positioning detection system, and relates to the technical field of power distribution network fault detection. The system comprises a mixed information acquisition layer, a fault feature extraction layer, an intelligent diagnosis layer and a fault positioning layer. The mixed signal acquisition layer comprises a high-frequency transient wave recording unit, a power frequency measurement unit, a wireless pulse sensor and a distributed optical fiber temperature measurement unit; the fault feature extraction layer comprises a time-frequency analysis module, a preprocessing module and a three-dimensional feature vector module; the intelligent diagnosis layer comprises a convolutional attention network, a space-time diagram neural network and a transfer learning module; the fault positioning layer comprises a particle swarm module and a fuzzy reasoning module. According to the invention, data information of the cable is acquired through the mixed information acquisition layer, a video analysis window function is dynamically matched with signal characteristics, a time domain graph scale, a frequency domain resonance component and a space field intensity gradient are constructed, fault diagnosis and positioning are carried out by using the intelligent diagnosis layer, and the fault positioning detection efficiency of the power distribution network is improved.

The invention discloses a heterogeneous double-mechanical-arm tail end pose mapping method, system and device and a storage medium, and the method comprises the following steps: S1, obtaining the angular velocity, position and tail end pose information of each joint of a main mechanical arm, and calculating the spatial position and pose of the tail end of the main mechanical arm; s2, motion trail data in the teaching process of the main mechanical arm is collected, a long-short-term memory network model is established, the pose of the future time step length is predicted, and the motion trail of the auxiliary mechanical arm is planned; s3, data information is transmitted, and the problem of communication delay is solved; s4, the pose information of the tail end of the main mechanical arm is solved, the joint angle is adjusted, and the error is adjusted in combination with proportional-integral-differential control; s5, the position and speed signals are filtered, a mechanical arm dynamic model is established, an adaptive control law is designed, and a trajectory smoothing algorithm is adopted; and S6, establishing a virtual obstacle map, and limiting a safe working space. According to the method, comprehensive and accurate mapping and prediction of the tail end poses of the heterogeneous double mechanical arms are achieved.

The invention discloses an adaptive teaching real-time feedback method based on multi-modal fusion, and the method comprises the following steps: synchronously collecting text modal information, voice modal information and image modal information generated by students in a teaching process, forming multi-modal original data information, and extracting historical student interaction behavior data; preprocessing the multi-modal original data information, and respectively generating corresponding text, voice and image sequence features; a visual feature encoder and a sequence feature encoder are adopted to encode each modal sequence feature to obtain a high-dimensional feature; inputting the modal high-dimensional features into a cross-modal fusion network for deep fusion; parameters of the feedback model are optimized through a model-independent element learning feedback regulation and control algorithm, and a personalized feedback strategy is generated; generating comprehensive feature representation according to the fusion features, and outputting personalized teaching feedback; and the interaction information is updated based on the feedback behavior data to realize closed-loop optimization.

Provided is a method for tracking a satellite. The method includes: acquiring trajectory information and antenna attitude information of a COTM device; calculating a theoretical pointing angle of an antenna beam for a target satellite based on an orbit parameter of the target satellite and the trajectory information; acquiring an actual pointing angle of the antenna beam by correcting, based on the antenna attitude information, the theoretical pointing angle of the antenna beam; controlling, based on the actual pointing angle of the antenna beam, a receiving phased array antenna to form an antenna beam; acquiring data information of the satellite signal, and correcting an actual pointing angle of the current antenna beam; controlling a transmitting phased array antenna to form an antenna beam based on a corrected actual pointing angle; establishing a communication link and updating ephemeris data of the target satellite.

The invention relates to the technical field of Internet of Things communication, and discloses an Internet of Things data information transmission method, a switch and a transmission system. The method comprises the following steps: acquiring multi-source data streams of Internet of Things terminal equipment, dynamically fragmenting according to types to generate fragmented data packets, matching a target transmission protocol for the fragmented data packets, generating a dynamic routing path in combination with a priority mark and the like, and transmitting the dynamic routing path. The system also has the functions of link quality evaluation and route adjustment, redundant coding packet loss recovery, transmission delay and integrity monitoring processing, encryption transmission based on security level, resource optimization, transmission strategy adjustment and the like. The switch is integrated with a data fragmentation module, a protocol matching module and the like. The transmission system comprises a terminal device cluster, an edge node network, a cloud server and a protocol conversion gateway. The data transmission efficiency, reliability and safety are improved, resource utilization is optimized, and the data transmission problem of the Internet of Things is effectively solved.

The invention relates to the technical field of synchronization in data communication, and provides a PTP protocol-based chip-level hardware timestamp generation method and system, and the method comprises the steps: 1, receiving a synchronization message and a delay request message from a main clock, carrying out the evaluation of a physical layer signal, and recording a first hardware timestamp; 2, responding to the received delay request message, generating and sending a delay response message, acquiring bidirectional transmission delay data by exchanging the delay request and the delay response message, and calculating clock skew in combination with the first hardware timestamp and the bidirectional transmission delay data; 3, adjusting the local clock frequency according to the clock skew; 4, after the synchronization is completed, associating the second hardware timestamp with the corresponding data message, and storing the associated data in a buffer area in the chip; and 5, generating standardized timestamp information, and outputting the standardized timestamp information through a chip interface. And high-precision time synchronization and timestamp generation are realized.

The invention discloses a metadata real-time self-adaptive standardization system for multi-field data sharing. The metadata real-time self-adaptive standardization system comprises a metadata information layering module, an intelligent information acquisition module, a real-time self-adaptive standardization module and a visual management module, the metadata information layering module identifies sources of various metadata, and sequentially performs cleaning, classification and layering preprocessing on the metadata; the intelligent information acquisition module uniformly acquires metadata information and converts the acquired data into standardized intermediate representation; the real-time adaptive standardization module is used for realizing rule dynamic adaptation and real-time optimization in a metadata standardization process, is internally provided with a dynamic rule library, is used for storing dynamically generated metadata mapping rules and supports automatic loading, updating and semantic extension of the rules; and the visual management module realizes management, analysis and dynamic adjustment of metadata through a visual interface. The method is high in accuracy of processing unknown data, can adapt to different data scenes in real time, and is high in semantic interoperation capability.

The invention provides a scene adaptive projection vehicle lamp system based on deep reinforcement learning and a control method, and relates to the technical field of intelligent vehicle lamps and automatic driving perception systems. Comprising a multi-modal sensing module, a feature fusion module, a strategy generation module and an execution module. The multi-mode sensing module is used for collecting environment state data and performing primary processing to form an environment data information flow; the feature fusion module is used for generating a unified environment feature vector for the environment data information flow; the strategy generation module is used for receiving the environment feature vector and generating a vehicle lamp adjustment strategy through multi-layer neural network calculation; evaluating a result obtained by executing the vehicle lamp adjustment strategy based on the vehicle lamp, and optimizing strategy parameters of the strategy network based on a PPO algorithm; the execution module is used for controlling the vehicle lamp according to the vehicle lamp adjustment strategy output by the strategy network. The intelligent level of the vehicle lamp is remarkably improved, and the system is widely applied to night driving assistance, urban interaction prompt and low-visibility driving scenes.

Computer devices, systems and methods for transforming converting and evaluating high complexity computer science optimization problems using quantum and quantum inspired data transformation approaches and corresponding computer data structures are proposed, useful in specific situations, where computational complexity at scale prohibits alternative approaches, the approaches to solving the transformed problems yielding acceptable accuracy output despite a technical tradeoff in potential loss in accuracy. The transformed computer problem can then be solved using specialized quantum or quantum inspired computing architectures. The optimization problem outputs can be converted into specific data messages routed for automatically invoking downstream data processes and data subroutines.

Apparatuses, systems, and methods for single-pass access of ECC information, metadata information, or combinations thereof. The memory array includes a number of column planes and an extra column plane. A memory device may be set in an ×4 single-pass operational mode. In this mode, the memory may store data in a selected ones of the column planes, and metadata may be stored in the extra column plane. An error correction code circuit (ECC) may store parity bits associated with the data and metadata in non-selected ones of the column planes. In this manner, the data, metadata, and parity may be accessed as part of a single access of the memory array.

The invention provides a large model interaction method and system based on multi-model collaborative dialogue, and relates to the technical field of artificial intelligence, and the method comprises the steps: dividing multi-modal data into a pixel block matrix and extracting feature vectors, constructing a hexagonal honeycomb-shaped coding matrix to store data information, and generating an attention score matrix by adopting a multi-head attention mechanism; constructing a model communication network based on the transmission data unit, and calculating a professional degree score through graph convolution; according to the method, performance data is collected to generate an evaluation graph, and an optimal node cooperation strategy is output in combination with dominant learning, so that the efficiency and accuracy of multi-model cooperation dialogue are improved, and the robustness and expandability of the system are enhanced.

An apparatus to facilitate lossless and lossy automatic hardware compression in graphics-to-graphics network links is disclosed. The apparatus includes compressor / decompressor circuitry (CDC) integrated with physical layer (PHY) intellectual property (IP) hardware circuitry for a graphics processor unit (GPU)-to-GPU communication link communicably coupling a first GPU to one or more other GPUs, the CDC to: receive a data message from the first GPU, wherein the data message is in an uncompressed format; determine that a compression process is to be applied to the data message; apply the compression process to the data message to generate a compressed data message; and cause a GPU link IP hardware circuitry that comprises the PHY IP hardware circuitry to transmit the compressed data message over the GPU-to-GPU communication link.

The invention provides a railway engineering completion delivery data information extraction method based on digital twinning. Relates to the technical field of engineering data processing. The technical key point of the invention lies in how to construct a dynamic digital twinborn model by integrating various technologies, such as BIM, Internet of Things, big data, AI and the like, and in combination with technologies, such as real-time data monitoring, intelligent analysis, data sharing and the like, the quality control, operation optimization, decision support and completion delivery efficiency of a railway construction project is improved.

The invention provides a method and device for realizing cache sharing among lossless network ports, and the method comprises the steps: dividing a receiving side total cache space into a port private space and a multi-port shared space, and setting an upper limit value of the shared space which can be used by each port; based on the port private space residual value and the corrected shared subspace residual value, calculating a credit value representing the corrected total residual space of the port of the side, and feeding back the credit value to the sending side; initiating data message transmission when the sending side equipment meets a preset message sending condition based on the credit value; when the port of the receiving side receives the data message, retransmission verification is carried out, whether the residual cache space is sufficient or not is judged, the message is stored or discarded, an ACK / NAK / CNAK response is triggered, and the response is sent to the sending side equipment; and when the sending side equipment receives the response, analyzing the message serial number in the response and executing retransmission operation or releasing the message retransmission cache space. According to the scheme, the cache utilization rate is increased.

The invention provides a data transmission optimization method and system based on a satellite channel congestion scene, and belongs to the technical field of satellite communication, and the method comprises the steps: classifying service data, and obtaining different types of data messages; reporting the cache state report to a satellite master station; receiving uplink communication resources distributed by the satellite master station, wherein the uplink communication resources are sent after being distributed by the satellite master station based on the cache state report; determining a channel transmission state of the satellite terminal station based on the uplink communication resources and the service volume in the transmitting cache region; scheduling and sending each type of data messages according to the transmission priorities of the different types of data messages; the transmission priority is determined based on a channel transmission state. According to the invention, in a satellite channel congestion scene, key messages are scheduled preferentially by dynamically adjusting the transmission priorities of different types of data messages, so that the communication efficiency and reliability are improved under limited resources.

The present invention discloses an integrated circuit chip with an address code, a key, and a mechanical keyboard. The integrated circuit chip contains a programmable address code, integrates a magnetic induction circuit, a GRB magic color drive circuit, and includes a power pin, a ground pin, and a data pin. The power pins of n integrated circuit chips are connected in parallel to share a power network VCC, the ground pins are connected in parallel to share a ground network GND, and the data pins are connected in parallel to share a data line network DIO connected to an MCU, and data information is transmitted on the data line network DIO. Another integrated circuit chip with an address code only requires a power network VCC and a ground network GND, and data information is modulated and transmitted on the power network, which greatly saves wiring space, reduces the difficulty of PCB design, and exponentially reduces the number of electronic components. In addition, a variety of different customized code sending methods and working modes are provided, making its application simpler, more efficient, and more reliable.

The present application is suitable for the technical field of fault prediction, and in particular relates to a transfer learning-based cross-server fault prediction system and method. The method comprises: carrying out data collection, collecting server data, and preprocessing the server data to obtain preprocessed data; constructing a neural network model, constructing a data set, and, on the basis of the data set, pre-training the neural network model to obtain a pre-trained model; on the basis of a deep domain confusion mechanism, aligning feature distributions of data domains of different servers to obtain a deep domain confusion neural network model; collecting sample data, and tuning the neural network model to obtain a prediction neural network model; and performing data information testing on a server requiring prediction to obtain a test result, and, on the basis of the test result, performing visualization processing. The present application takes preventive measures to improve the stability and reliability of servers, shortening shutdown time and reducing maintenance costs, thus improving the overall performance of systems and user experience.

The embodiment of the invention provides a network card equipment switching method and device based on a bonding mode, and relates to the technical field of network card equipment. The method comprises the following steps: in response to a switching operation of network card equipment based on a bonding mode, generating a switching operation message, and transmitting the switching operation message to a preset callback interface; calling a switching operation message from a preset callback interface based on the remote direct memory access driving module; and based on the remote direct memory access driving module, switching the current data information of the first network card device to the second network card device through the shared memory according to the switching operation message, and executing the current data information in the second network card device. By adopting the technical scheme, when one network card device has only one port, a communication mode of remote direct memory access with other devices can be carried out, so that the stability of data transmission is improved.

The embodiment of the invention provides a message transmission method and device, a terminal and switching equipment, the method is applied to a sending terminal, the sending terminal records entropy values, path quality values and polling period values of a plurality of paths between the sending terminal and a receiving terminal, and the method comprises the following steps: selecting the polling period value as a first preset period value from the plurality of paths, the path quality value is a path with a first preset quality value; in the current polling period, polling the selected path to obtain a first path; filling the entropy value of the first path into a source port field of a to-be-transmitted first data message to obtain a second data message; and sending the second data message to the receiving terminal, so that the switching equipment receiving the second data message transmits the second data message to the receiving terminal according to the entropy value included in the second data message. According to the scheme, the problems that the congestion degree of the path is aggravated and the performance is sharply reduced due to the fact that the data message is guided to the congestion path can be solved.

The present invention discloses an integrated circuit chip with a data line, a key and a mechanical keyboard, wherein the integrated circuit chip integrates a magnetic induction integrated circuit and an RGB magic color driving circuit; the integrated circuit chip includes a power pin, a ground pin, a data information input pin and a data information output pin, and the connection between the data information input pin and the data information output pin of a plurality of integrated circuit chips forms a data line and is connected to the MCU; an integrated circuit chip cooperates with a key with a magnetic element to obtain a key information, and according to different communication protocols, the RGB magic color driving circuit and the magnetic induction integrated circuit share the data line, and transmit the RGB color grayscale information and the key information in a time-sharing manner. The present invention cascades all the key information through the data line, saves a lot of wiring space, reduces the design difficulty of the PCB, reduces the number of electronic components by multiples, and provides a variety of different code sending methods and working methods, making its application simpler and more efficient.

The invention discloses a resource allocation method and system for 5G communication in an underground coal mine, and relates to the technical field of communication information processing, and the method comprises the steps: obtaining data information of an underground coal mine roadway, building a digital twin communication model through combining a synchronous positioning and map building algorithm and a wireless fingerprint matching algorithm, generating a channel profile map according to real-time data, and transmitting the channel profile map to a server; extracting channel data of each space node; constructing a computing resource pool for the 5G base station and the edge computing node, and packaging different service types into a plurality of network slice containers; according to the channel data, carrying out initial allocation on each container through a resource composer, and carrying out dynamic task migration among different MEC nodes to obtain a resource allocation state; dividing scheduling time according to a channel profile and a resource allocation state, and dynamically adjusting a duration proportion and bandwidth occupation of each window according to a task migration state; according to the invention, through digital twinning and dynamic scheduling, the problems of 5G communication coverage and interference in the underground coal mine are solved.

The invention provides a cache architecture and method of an AXI interconnection module, electronic equipment and a storage medium, and relates to the technical field of storage, the cache architecture comprises an index cache region, a shared cache region and a shared cache access controller, the index cache region comprises an index entry list, and the shared cache region comprises an instruction cache region and a data cache region; each index cache region corresponds to one main device, the shared cache region corresponds to all the main devices, and the index entry list is used for recording index information of access transactions of the corresponding main devices; each index entry in the index entry list corresponds to one access transaction; and the shared cache access controller is used for storing instruction information corresponding to the access transaction in the instruction cache region based on the index information and storing data information corresponding to the access transaction in the data cache region. By applying the scheme of the invention, the utilization efficiency of on-chip resources can be improved on the basis of ensuring the transaction processing performance.

The invention discloses a consistency interconnection processing device, a data transmission method, equipment and a heterogeneous system, and relates to the technical field of data transmission, the consistency interconnection processing device installed on the equipment is utilized, the consistency interconnection processing device comprises a consistency interconnection port and a consistency interconnection controller, the consistency interconnection controller controls the consistency interconnection interface to establish a consistency interconnection communication link between the devices and distribute a cache space from the devices where the consistency interconnection interface is located, so that consistency interconnection between the devices is achieved; the consistency interconnection controller monitors the cache line state of the device where the consistency interconnection controller is located and the cache line states of other devices and records the global cache line state table, when the consistency interconnection transaction request is executed, the global cache line state table is inquired according to the target data information and then the target access position is determined, actual memory access detection does not need to be carried out, and the memory access efficiency is improved. Therefore, the number of times of executing the consistency access is reduced, the consistency maintenance overhead of the consistency interconnection between the devices is reduced, and the memory access performance of the consistency interconnection between the devices is improved.

The invention discloses a multi-protocol device data conversion method, device and equipment based on a red-mine system, and a medium. The method comprises the following steps: acquiring a first protocol data frame sent by a first protocol host; analyzing the protocol data frame to obtain at least one piece of equipment data information contained in the protocol data frame; according to a predefined mapping relation, mapping each piece of equipment data information to a standard data field based on a second protocol object model; and performing data encapsulation on the mapped data according to a second protocol format to generate a second protocol data frame, and sending the second protocol data frame to a second protocol client application in the Hongyu system through a second protocol server. Seamless joint between the industrial field equipment and the intelligent mine system is realized, and the data transmission efficiency and the system compatibility are obviously improved.

The invention discloses a pavement throwing detection method and device based on deep learning, electronic equipment and a program product. The method is realized through a trained detection model, the model adopts an LMSADet detection head, a multi-scale feature extraction and space attention mechanism is introduced into a task branch, and multi-scale modeling is decoupled from a backbone network and a neck network and integrated to the detection head so as to fit a detection task to directly optimize local details and scale differences of a throwing target. In order to suppress background interference and improve the recognition effect of fuzzy boundaries, the neck network is added into an MSHA module so as to efficiently capture the semantic relation between the thrown object and the background and enhance the regional understanding ability. A C3ESP module is introduced into the backbone network, deep features are extracted through stacking depth separable convolution, and information loss is avoided in combination with residual optimization fusion; meanwhile, a PEMA attention mechanism is introduced, the importance of different receptive field features is dynamically adjusted, the model focuses on key features, data information is captured more comprehensively, and therefore the detection performance is remarkably improved.

The invention, which relates to the technical field of traffic management, discloses an intelligent detection system for a vehicle parking space in a passenger and goods mail fusion station, and the system comprises a multi-mode sensing module which is configured to collect vehicle data information, the collection mode comprises the steps that vehicle data information is collected through an enhanced geomagnetic array, an adjustable video monitoring set, a lateral laser radar and a piezoelectric sensor; and the edge computing node module is configured to integrate an AI chip, the AI chip comprises a vehicle classification model, an abnormal parking detection algorithm and a data fusion engine, and the collected data is computed and analyzed. The edge computing node is integrated with an AI chip, and data are analyzed and processed through a built-in algorithm; the hybrid communication network transmits data through an optical fiber backbone network and a specific redundant link, self-adaptive visual adjustment and intelligent algorithm optimization are performed, the problem of complex vehicle type detection in a passenger and goods mail fusion station is solved, and the parking space utilization rate and the operation efficiency are remarkably improved.

The invention relates to the technical field of credible data space, and provides a credible data space platform fusing multiple credible environments and a data use method, and the platform comprises a data credible circulation environment, a plurality of data credible supply environments and a plurality of data credible use environments. The data credible supply environment and the data credible use environment realize supply-demand link through the data credible circulation environment; the data credible circulation environment comprises a data product credible transaction environment and a data information credible delivery environment; a data operation platform is deployed in the data product trusted transaction environment and is used for shelving, browsing and ordering data products; according to the data information credible delivery environment, a block chain data internet is adopted, an encrypted digital asset account is opened on a block chain for each credible object, issued data information assets are stored, data right confirmation is realized through a multi-party encryption technology, and dynamic authorization of the data information assets is realized through a digital envelope technology. The method is not limited by a specific privacy computing technology architecture and is flexible to construct.

The invention relates to the technical field of RFID tag signal optimization, and discloses an RFID tag signal optimization method and system based on deep learning. According to the method, feature extraction is carried out on a backscattering signal, core features of a multipath channel are quantized from a frequency domain and a time domain respectively, numerical representation of a channel state is further obtained, then obtained data information is used as input of a deep learning network, training and forward calculation are carried out, original emission parameters are adjusted, and a multi-path channel is obtained. Therefore, the conversion from blind extensive control to precise control of the transmitting end is realized, so that the problem of mismatching of parameter control and channel state caused by information splitting of the transmitting end and the receiving end in the prior art is solved; according to the signal optimization method for realizing joint adjustment of transmitting and receiving parameters through an end-to-end deep learning architecture, the optimization effect of an RFID tag signal in a complex environment is remarkably improved.

The invention discloses a personalized content automatic generation and pushing method and system based on AIGC, and mainly relates to the technical field of artificial intelligence content generation. Comprising the following steps: acquiring data information of historical watching records, browsing behaviors and interaction records of a user; according to the obtained data information, analyzing the data through a large language model, and generating a user portrait label and a personalized cue word; based on the generated user portrait label and the personalized cue word, selecting and generating a corresponding creation prompt; on the basis of the generated creation prompt, automatic generation of multi-modal content is completed through a plurality of generation models; and carrying out personalized pushing on the automatically generated multi-modal content, and carrying out feedback collection. The method has the beneficial effects that accurate content customization and pushing can be realized through a user portrait and content automatic generation technology.

Some embodiments provide a novel method for using connection tracking records to process data messages at a physical network interface card (PNIC) connected to a host computer. A first software firewall of the PNIC determines whether processing of a flow is passable to a second software firewall of the PNIC and to a third hardware firewall of the PNIC. The first software firewall creates a connection tracking record for the flow and data specifying whether processing of the flow is passable to the second software firewall and independently whether processing of the flow is passable to the third hardware firewall. The first software firewall provides the connection tracking record and said data to the second software firewall of the PNIC so that the second software firewall processes the flow or passes the connection tracking record and the data to the third hardware firewall if determination was that the flow is passable to the third hardware firewall.