3541 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 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.

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.

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.

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 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 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 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 an AI-based multimodal transport resource collaborative dynamic configuration method, which comprises the following steps of: constructing a real-time data layer for acquiring multi-dimensional data; preprocessing the data of the real-time data layer; dynamically constructing a digital twin platform based on the preprocessed data information; training a plurality of agents; carrying out cooperative training on a plurality of agents under a federated learning cluster framework; jointly training a global AI model; the AI decision center generates an optimal or nearly optimal dynamic resource configuration decision; the dynamic configuration engine dynamically schedules resources and generates an instruction; issuing the generated detailed instruction to a physical system of an execution layer; and the IoT equipment continuously monitors the execution state and the physical environment change, and feeds back new data to the real-time data layer. According to the invention, the bottleneck of data islands and response delay is broken through, and a cost-aging-carbon emission multi-target balanced intelligent decision-making system is constructed; and performing multi-agent collaborative training under a federated learning framework to realize cross-domain collaborative optimization.

The invention relates to the technical field of industrial detection, and discloses a multi-modal data fusion industrial defect intelligent detection system, which comprises a multi-modal data acquisition module which comprises a high-resolution visible light camera, an infrared thermal imager and an ultrasonic sensor and is used for acquiring product images and data information from different dimensions, the devices are reasonably arranged on a production line to realize comprehensive acquisition; the preprocessing module is used for denoising and normalizing the collected data; the limitation of single-mode detection is overcome through the multi-mode data acquisition module, and omnibearing detection is realized; an advanced fusion strategy is adopted, and feature interference and insufficient information interaction are avoided; the environment self-adaptive adjustment module enables the system to stably work in a complex environment; the parallel computing module improves the data processing efficiency and meets the real-time detection requirement; the encryption module ensures data security, the modular design facilitates maintenance and upgrading, and the data backup and recovery module ensures production and data integrity.

The invention provides an SQL statement generation method and system based on execution of feedback iterative correction, and relates to the technical field of large language models.The method comprises the steps that a query request of a user is received, and metadata information of a target database is obtained; generating a current SQL statement based on the query request and the metadata information; pre-executing the current SQL statement in a database sandbox environment; obtaining a pre-execution result, directly outputting the pre-execution result if the pre-execution result succeeds, and performing iterative loop if the pre-execution result fails; and analyzing error information in the pre-execution result, and determining an error type. According to the method, the illusion problem of a large language model is fundamentally solved, and the semantic correctness of SQL generation is ensured. And meanwhile, the iterative correction process replaces low-efficiency manual cue word adjustment, so that the use experience and the problem solving efficiency can be remarkably improved. In addition, the whole pre-execution process is completed in a sandbox environment, so that the influence of potential misoperation on production data is effectively isolated, and the safety of the system is enhanced.

The invention belongs to the technical field of communication, and particularly relates to an NFC (Near Field Communication) encrypted IMS (IP Multimedia Subsystem) server security data exchange method, which comprises the following steps of: in response to a near field communication connection event, acquiring an original service data message of service equipment to be opened and physical environment data monitored when the event occurs, forming a seed data set, executing Hash operation to generate an initial data fingerprint, and sending the initial data fingerprint to a server; and generating a symmetric session key through a key derivation algorithm by combining a device identifier in the original service data message, so as to encrypt the original service data message, packaging an encrypted data packet and the initial data fingerprint into a transmission data packet, sending the transmission data packet to an IMS server, reconstructing the session key by the server based on expected service parameters stored locally, and sending the session key to the IMS server. According to the method, decryption verification of the encrypted data packet is carried out, and service opening is executed after the verification is passed, so that deep binding of an encryption process and data integrity verification is realized, and the security of data exchange and the system processing efficiency are improved.

The invention relates to the technical field of communication security, in particular to a communication encryption method and device, equipment, a storage medium and a computer program product. The method comprises the following steps: dynamically generating a main session key between two communication parties based on a preset key negotiation protocol; dynamically generating sub-keys according to a preset time interval based on the main session key and the key sequence; performing encryption processing on each data block in the communication data stream based on the sub-key and the encryption strategy; generating a message authentication code for each encrypted data block; adding timestamp information based on the message authentication code, and introducing a random offset into the timestamp information; and the encrypted data blocks, the message authentication code and the timestamp information are packaged into the target data message, so that the transmission security of the communication data is improved.

Embodiments for communicating between first and second hosts according to CXL.mem and CXL.cache protocols. A computer translates a CXL.mem M2S RwD with a Tag, received by a CXL Type 2 or Type 3 device (EP1) from the first host, to a CXL.cache D2H Req with a CQID. A CXL Type 1 or Type 2 device (EP2) sends the D2H Req to the second host, and receives a CXL.cache H2D Rsp with the CQID and a UQID. EP1 sends a CXL.mem S2M NDR with the Tag to the first host, and EP2 sends a CXL.cache D2H Data message with the UQID to the second host. Optionally, EP1 receives and terminates CXL.io / PCIe Configuration Request TLPs from the first host, the M2S RwD further includes a first physical address and Data, and the D2H Req further includes a second physical address.

The invention discloses a server fault monitoring system, which relates to the technical field of servers, and is characterized in that a data acquisition terminal deployed in a machine room acquires environment monitoring data and software monitoring data of a server, and the environment monitoring data and the software monitoring data are used as server monitoring data to be sent to a corresponding edge server; and when the edge server detects that the software / hardware monitoring data is abnormal, extracting related abnormal data from the corresponding server monitoring data, and generating an abnormal report log. And the central server determines that the server has a fault according to the exception report log and the related exception data, and generates fault data information. And the monitoring terminal locates a graphic object corresponding to the fault server in the three-dimensional machine room virtual model according to the equipment identifier, updates the display state of the graphic object of the server into a fault state, and generates a fault data interaction label according to the fault data information. According to the invention, the problem of relatively large fault response delay in related technologies can be solved, and the server fault monitoring efficiency can be effectively improved.

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 discloses an intelligent monitoring method and system based on dual-mode communication, and relates to the technical field of dual-mode communication, and the method comprises the steps: obtaining basic data information, extracting multi-dimensional signal features to construct a spectrum feature library, and calculating the real-time noise similarity; calculating a cross mode support degree between the double signals according to the multi-dimensional signal features; acquiring propagation characteristics of all nodes in a second range, and generating a secondary anomaly propagation graph; analyzing causal features according to the secondary anomaly propagation graph, determining a causal path, identifying a risk index to obtain a risk index, and predicting a threat level; the noise interference condition is quickly identified, different conditions of the communication problem and the noise interference are effectively distinguished, and the noise identification accuracy is improved; time domain complementarity and space domain collaboration of an HPLC mode and an HRF mode are quantified, a single-mode sensing blind area is eliminated, a feature fusion strategy is dynamically adjusted, and monitoring accuracy is improved.

The present disclosure provides a method and apparatus of resource configuration for a sidelink positioning, and a device. The method includes: selecting a transmission resource for a first channel from a resource pool according to configuration information of the resource pool, where the first channel includes at least one of the following: a positioning channel used to transmit a sidelink-positioning reference signal (SL-PRS) or transmit an SL-PRS and positioning data information; a positioning data channel used to transmit the positioning data information; and a positioning control channel used to transmit positioning scheduling information.

A patient care system is disclosed that includes a medical device such as an infusion pump. The medical device generates a data message containing information such as the status of the therapy being delivered, operating data or both. An alarm generating system assesses the data message from the pump and generates an alarm message if certain conditions established by a first set of rules are met. The alarm message is assessed according to a second set of rules as to whether to suppress the alarm message. The data message contains a required input for both the first and second algorithms. A dispatching system is adapted to forward the alarm message to an alarm destination according to a third set of rules. The alarm destination expresses an alarm upon receipt of the alarm message.

The invention provides a big data information processing method and system based on deep learning. According to the method, an energy distribution model is generated by combining a building information model with infrared thermal imaging data, and a dynamic thermal balance equation set is constructed according to the model so as to generate three-dimensional temperature field reconstruction data. Then, thermal resistance parameters in the energy distribution model, heat flow abnormal area coordinates in the three-dimensional temperature field reconstruction data and air conditioning unit current data are analyzed through a deep learning algorithm, and space-time coupling characteristics of equipment power consumption and thermal environment parameters are extracted; then, a priority regulation and control chain of the temperature control equipment is formulated, and multi-stage linkage rules of the fresh air exchange rate, illumination dimming and cold release of the cold storage tank are covered; finally, the chilled water pump phase difference, the air conditioner group operation mode and the emergency lighting power limiting value are dynamically adjusted, and power load stabilization is achieved. According to the technical scheme provided by the invention, the data information processing efficiency and stability of the large building can be improved.