3121 results about "Data connection" patented technology

Methods and apparatuses for a system error-correction code function are presented. The apparatus includes a memory configured to communicate with a host via at least one data connection and at least one non-data connection. The memory includes a memory array. The memory array includes a first portion and a second portion. The memory is further configured to, in a first mode, store and output data in the first portion and the second portion of the memory array. The first portion is addressable by a first address, and the second portion is addressable by a second address. The memory is further configured to, in a second mode, receive ECC of the data from the host via the at least one non-data connection, store the data in the first portion of the memory array, and store the ECC of the data in the second portion of the memory array based on the first address.

The invention provides a service life prediction method based on structural fatigue analysis of floating type offshore wind power equipment, and relates to the technical field of wind power generation. Equipment structure data of the floating type offshore wind power equipment is acquired, a sensor network is connected to acquire environmental load information, and a multi-body coupling simulation model is established based on the equipment structure data; environmental load information is input into the multi-body coupling simulation model for stress amplitude and load change, fatigue damage accumulation data is calculated based on the multi-body fatigue load spectrum, and the residual life of the floating type offshore wind power equipment is predicted through the fatigue damage accumulation data. The technical problem that in the prior art, unique stress characteristics and dynamic response of floating type offshore wind power equipment are ignored, and consequently the service life of the wind power equipment is predicted inaccurately is solved. The technical effects that the fatigue accumulation process of the floating type offshore wind power equipment is accurately calculated, and the operation safety and the service life prediction precision of the floating type wind power equipment are improved are achieved.

The invention discloses a power transaction market risk dynamic assessment system, which comprises a multi-modal sensing module used for collecting physical equipment operation data, market transaction data and environmental parameters in real time, and performing space-time alignment processing through edge computing nodes to generate a fusion data stream; the self-adaptive evaluation engine is in data connection with the multi-modal sensing module and is used for analyzing multi-dimensional risk association in the fused data stream; the invention belongs to the technical field of electricity markets, and aims to solve the problems that in the prior art, historical data static analysis is relied on, spatial-temporal scales of multi-source data are not uniform, and data cannot be given in time. The technical effects are that a closed loop is formed through sensor data, a multi-mode sensing module (alignment processing), an adaptive evaluation engine (risk analysis), a digital twin system (simulation strategy) and a dynamic feedback module (optimization system), automatic calibration and learning are realized, and the risk prediction accuracy and the reliability of the scheme are improved.

The invention relates to the technical field of artificial intelligence, in particular to a ChatBI dynamic data query and visualization system and method.The ChatBI dynamic data query and visualization system comprises a natural language interaction and intention analysis module, a metadata knowledge graph module, a dynamic SQL generation and optimization module, an intelligent visualization recommendation module and a multi-source data connection and real-time calculation module; the method has the beneficial effects that by fusing natural language interaction, intelligent query generation and self-adaptive visualization technologies, the core pain points of high technical threshold, large response delay, complex visualization configuration and the like of a traditional BI tool are thoroughly solved.

A data management system may include data connectors configured to establish connections with access control systems and receive heterogeneous metadata related to the data access history. The system may include a transformer that stores graph objects in memory. The graph objects may include application account nodes representing application accounts associated with the domain and resource nodes representing data resources associated with the domain. The system may further store event objects. The system may render for display a data access graph that illustrates a data permission traversal path from a source node to a particular data resource. The data permission traversal path may include a graphical representation representing the particular application account having permission to access the particular data resource. At least a portion of the graphical representation may be rendered according to the data access activity level of the particular application account accessing the particular data resource.

The invention relates to the technical field of equipment intelligent diagnosis, in particular to a generator digital twinning diagnosis method based on temperature field online simulation, which comprises the following steps: respectively constructing a three-dimensional virtual model, a temperature field simulation model and an intelligent agent diagnosis model; the digital twin is in data connection with the physical entity; data alignment is achieved through a unified space-time coordinate system, a mapping relation is established between a vertex of the three-dimensional virtual model and a grid node in the temperature field simulation model, and a fault probability matrix output by the intelligent agent diagnosis model is matched to a three-dimensional grid of the three-dimensional virtual model through spatial interpolation; according to a fault probability output by the intelligent agent diagnosis model, correcting a boundary condition of the temperature field simulation model, triggering local grid adaptive encryption of the temperature field simulation model, and marking a fault position in real time through a three-dimensional virtual model; and the simulation result of the temperature field simulation model verifies the fault probability output by the intelligent agent diagnosis model. Through the method, the fault identification accuracy can be effectively improved.

The invention discloses a traction transmission system fault diagnosis and health prediction system and method, and relates to the technical field of railway tracks, and the system comprises a data collection system, a track-vehicle system model, a traction transmission system model, and a Sichuan-Tibetan line train running gear instability evaluation algorithm. According to the traction transmission system fault diagnosis and health prediction system and the method thereof, a track-vehicle system model is established based on acquired Sichuan and Tibet railway and vehicle parameters, a traction transmission system model is further constructed, a real-time track-vehicle relationship is simulated with the assistance of multi-physical field coupling, and the fault diagnosis and health prediction of the traction transmission system are realized. The model effect is enhanced from five dimensions of a physical entity, a virtual entity, twinborn data, a connection rule and application service, so that a five-dimensional model which is more practical is obtained, the risk condition when a vehicle enters a next road section is calculated in advance by utilizing an instability judgment algorithm, multi-modal, multi-parameter and multi-disciplinary information is fused, and the reliability of the vehicle is improved. And powerful guarantee is provided for safe and efficient operation of Sichuan and Tibet railways by utilizing advanced technical means.

A multi-functional module system for a mobile device includes a docketing station and housing attachable to the mobile device. The housing includes an integrated wireless charging coil, and a plug head integrally formed with or attached to the housing. The plug head establishes a direct electrical / data connection between the housing and a port of the mobile device. The charging coil aligns with and charges a wireless-enabled accessory placed adjacent to the housing. The docking station includes an electrical connection interface to transmit power and / or data between the housing, the mobile device and a removable electronic module (REM) connected to the docking station. At least one port of the housing transfers power / data between an external device plugged into the port and the housing and / or the mobile device and / or the connected REM. The docking station provides a docking interface between the REM and housing via a magnetic coupling.

A brake system for a motor vehicle has electromechanical wheel brakes, a brake operating unit and a central brake control unit. The wheel brakes each have a local brake control unit. The central brake control unit is connected to the brake operating unit and the local brake control units via a first data connection. The brake operating unit is connected to the local brake control unit of at least one wheel brake via a second data connection. In a normal operating mode the central brake control unit determines at least one brake demand from first operating information, received via the first data connection and transmits control signals corresponding to the brake demand to the local brake control units. In a fallback operating mode the local brake control units actuate the respective wheel brakes basis on second operating information, received via the second data connection.

Apparatuses, methods, and systems are disclosed for establishing a data connection for UAV operation. One apparatus includes a processor and a transceiver that communicates with a mobile communication network via an access network. Here, the processor sends (e.g., via the transceiver) a data connection request to a session management function, the data connection request requesting unmanned aerial vehicle (“UAV”) operation. The processor receives (e.g., via the transceiver) a response to the data connection request. Here, the response includes remote identification and tracking information (“RITI”) for the UAV operation. The processor further sends (e.g., via the transceiver) one or more UAV data reports to a UAV Traffic Management (“UTM”) function using the RITI.

The invention discloses a lithium battery full life cycle quality tracing system based on digital twinning, and relates to the technical field of lithium battery quality tracing, and the system comprises a physical entity layer which integrates multiple types of sensors and detection equipment to collect full-link data; the digital twinning modeling layer is used for constructing a multi-scale model to map a battery state; the data acquisition and transmission layer is used for realizing data real-time transmission preprocessing through an edge gateway and an encryption protocol; the data storage and management layer is used for establishing a data warehouse by using a distributed database and performing backup; the intelligent analysis and decision-making layer integrates an algorithm to realize anomaly detection, performance prediction and tracing; the visualization and interaction layer is used for providing a multi-terminal visualization and interaction function; and the block chain evidence storage layer constructs an alliance chain to ensure that the data cannot be tampered. According to the invention, full-life-cycle data connection and credible tracing of the lithium battery are realized, the quality problem positioning efficiency is improved, intelligent early warning and optimization capabilities are provided, the operation threshold is reduced, and industrial quality control and green development are facilitated.

The invention relates to an existing cavern compressed air energy storage physical model test system, which comprises a physical model, a hydraulic loading system, an air circulation charging and discharging system and a monitoring system, and is characterized in that the physical model comprises a surrounding rock and an air storage part, the surrounding rock comprises an external rock block and an internal rock block, the internal rock block is provided with a hole, and the hole penetrates through the internal rock block along the axial direction of the internal rock block; one or more prefabricated cracks are formed in the wall of the hole, the outer rock block is arranged on the outer side of the inner rock block in a surrounding mode, at least part of the air storage part is arranged on the two sides of the inner rock block in the axial direction, and the air storage part can seal the hole; the hydraulic loading system can apply a load from an external rock block to an internal rock block to the physical model, and the air circulation inflation and deflation system can inflate and deflate the hole; the monitoring system comprises a monitoring instrument and a data acquisition system, the monitoring instrument can perform data monitoring on the physical model, and the data acquisition system is in data connection with the monitoring instrument and can perform data transmission and processing.

A display device includes a base layer having a display region and a non-display region, a circuit layer on the base layer, and an element layer on the circuit layer and including light emitting elements and light receiving elements corresponding to the display region. The circuit layer includes pixel drive circuits connected to the light emitting elements, sensor drive circuits connected to the light receiving elements, readout lines connected to the sensor drive circuits, first data lines connected to a first group of pixel drive circuits from among the pixel drive circuits, second data lines spaced from the first data lines in a first direction and connected to a second group of pixel drive circuits from among the pixel drive circuits, and data connecting lines electrically connected with the second data lines, respectively, in the display region.

The invention provides a network slice management method and a storage medium, and relates to the technical field of communication. The method is applied to a network management server and is configured to comprise a data connection configuration list, and the data connection configuration list comprises a mapping relation among an equipment address of industrial equipment, a wireless resource configuration parameter set in a base station and a network slice identifier. Acquiring a user permanent identifier of a target terminal corresponding to the target industrial equipment; and sending a wireless sub-slice configuration request to a base station according to the user permanent identifier of the target terminal, so that the base station attaches a protocol data unit PDU session of an Ethernet type established by the target terminal to a target wireless sub-slice corresponding to the target industrial equipment according to the wireless sub-slice configuration request, the establishment of the wireless sub-slices can be completed in the base station only by providing the wireless sub-slice configuration information in the network management server by an industrial user, and the method has the characteristic of simple configuration.

The invention discloses an outdoor robot control system based on a fusion positioning method, which comprises a positioning navigation module, an interaction module and an execution module, and is characterized in that the positioning navigation module is in data connection with the interaction module and the execution module, and the interaction module is in data connection with the execution module; according to the invention, the RTK, UWB and IMU units are fused, and all the units work cooperatively, so that the problem of continuous and accurate positioning of the traffic isolation robot in a complex urban road environment is solved; according to the method, the road scene where the robot is located is judged through the positioning signal attenuation model, precise switching of the corresponding optimal positioning method is achieved, and high-precision positioning of the traffic isolation robot is achieved; according to the invention, the positioning signal attenuation map and the obstacle map are fused into the two-factor environment map, an optimal path which can avoid obstacles and consider the positioning signal attenuation factor is generated, and navigation is carried out, so that the positioning precision and the navigation accuracy are ensured.

An electronic device may be mounted to a main body of a removable case. The case includes a cover that rotates between open and closed positions. The device may convey wireless data and / or a control signal with the removable case over radio-frequency connectors, near-field communications (NFC) coils, connector electrodes, and / or wired data connectors. The removable case may relay the wireless data between the electronic device and a communications satellite in space. The case may include a phased antenna array in the cover. In the open position, the cover may point the phased antenna array towards the sky. The removable case may include beamforming circuitry in the cover and coupled to the phased antenna array. The control signal may control the beamforming circuitry to produce, using the phased antenna array, a signal beam oriented towards the communications satellite.

This application involves the field of financial technology, and discloses a financial business approval and risk management system based on direct data connection, including: data integration module, risk analysis module, decision support module and feedback optimization module; the data integration module is used to collect and clean multi-source data in real time through direct data connection to generate key risk feature data; the risk analysis module uses multi-dimensional modeling and random fluctuation modeling based on the above data to dynamically monitor the risk factors of customers; the decision support module uses Markov decision process and game theory analysis to generate optimal approval decisions based on risk scores, balancing customer needs and risk control. The system realizes multi-source data integration, dynamic risk assessment and intelligent decision support, improves the approval efficiency and risk management level of financial institutions, and can be widely used in various financial service scenarios such as vehicle finance, corporate credit, and consumer finance.

A method is disclosed, performed by a service API controlling node, for enabling a first wireless device to determine a relative position between a plurality of second wireless devices based on a positioning function of a core network. The method comprises receiving, from the first wireless device, over an established data connection, an authorization request message for using a service API. The method comprises authorizing the first wireless device to use the service API for positioning of wireless devices. The method comprises receiving, from the first wireless device, using the service API for positioning of wireless devices, a message comprising information identifying the plurality of second wireless devices. The method comprises authorizing the first wireless device to determine the relative position of the plurality of second wireless devices. The method comprises performing, based on the positioning function and the message identifying the plurality of second wireless devices, a positioning procedure for determining the relative position of the plurality of second wireless devices.

Apparatuses, methods, and systems are disclosed for measuring QoS parameters in a multiaccess data connection. One apparatus includes a transceiver that receives a request from a SMF to establish a multiaccess connection for a UE, where the multiaccess connection includes a set of access networks and a set of QoS flows. Here, the request includes multiple reporting events and QoS monitoring information indicating that at least one QoS monitoring procedure is to be used for taking measurements for at least one QoS parameter on each access network in the set of access networks. The processor initiates at least one QoS monitoring procedure for taking measurements for the at least one QoS parameter on each access network in the set of access networks.

The invention belongs to the technical field of five-axis linkage numerical control machining, and particularly relates to a five-axis linkage numerical control machining dynamic error compensation system based on an industrial control system, which comprises a split-axis error detection module, a dynamic compensation model construction module, an industrial control real-time compensation execution module, an RTCP dynamic calibration unit and a self-adaptive learning optimization module. According to the invention, a real-time residual error monitoring and feedback mechanism is introduced to establish data connection with an original adaptive optimization module, so that parameter adaptive adjustment based on an actual compensation effect is realized, and the adaptability and compensation precision of the system under a complex dynamic processing condition are enhanced.

The invention relates to an optical data network (10-1) for connecting a plurality of data network nodes (N1-1, N2-1, N3-1, N4-1). The optical data network (10-1) comprises: i) the plurality of data network nodes (N1-1, N2-1, N3-1, N4-1), the data (99) comprising data packets (99p), wherein each data network node (N1-1, N2-1, N3-1, N4-1) is provided with a network interface (Nl); and ii) a data connection network (100-1) comprising at least one data switch (SW) and a plurality of optical connections (50) for allowing establishment of data links (DL1, DL2) between pairs of said plurality of data network nodes (N1-1, N2-1, N3-1, N4-1). At least one of the at least one data switch (SW) is a smart data switch (SSW) comprising at least one packet switch (PS, EPS) and at least one circuit switch (CS, OCS), At least two network interfaces are smart network interfaces (SN, SNC) comprising a data classifier (25) configured for classifying the data packets (99p) into at least two traffic classes including first traffic class (D1) and a second traffic class (D2) in accordance with a classification scheme. The smart data switch (SSW) and the network interfaces (SN, SNC) are configured to route the data packets (99p) of the first traffic class (D1) to the packet switch (PS, EPS) and to route the data packets (99p) of the second traffic class (D2) to the circuit switch (CS, OCS).

The embodiment of the invention provides a virtual power plant terminal access control system based on dynamic permission, and the system comprises an identity authentication module which is configured to collect hardware invariant features and firmware signature information of terminal equipment and generate an encryption certificate; the trust evaluation module is in communication connection with the identity authentication module and is configured to continuously monitor communication behavior characteristics and service instruction characteristics of the terminal and output a dynamic trust score; the dynamic authority management module is in data connection with the trust evaluation module and is configured to adjust the access authority level in real time according to the mapping relation of the dynamic trust score in a preset authority level interval; the strategy engine module is configured to generate an access control instruction when abnormal behavior characteristics are detected; and the behavior monitoring module interacts with the strategy engine module and the dynamic authority management module and is configured to execute blocking operation and feed back an execution result to the log auditing module. And the hardware invariant features and the dynamic behavior features are subjected to fusion evaluation, so that the terminal credibility quantification precision is improved.

The invention relates to a communication method, device and system, a storage medium and a product, and relates to the technical field of communication. The communication method is executed by a network data analysis function NWDAF, and comprises: receiving a data connection establishment request sent by a network function NF, the data connection establishment request comprising a network protocol type; and sending a data connection establishment response to the NF, the data connection establishment response indicating whether the NWDAF accepts the network protocol type.

Apparatuses, methods, and systems are disclosed for multipath QUIC for ATSSS using stream-aware steering mode. One method includes establishing a multiaccess data connection with a mobile communication network. The method includes establishing a plurality of QUIC connections, each QUIC connection supporting data transmission with a mobile communication network over first and second access networks. The method includes detecting a data packet to be transmitted via the multiaccess data connection and selecting a first steering rule from a configured set of steering rules. The method includes selecting a first QUIC connection of the plurality of the QUIC connections. The method includes allocating a new stream in the first QUIC connection, where the new stream is configured to transmit data traffic using a steering mode of the first steering rule and sending the data packet using the new stream.

Disclosed are a display substrate and a drive method therefor, and a display apparatus. The display substrate comprises a plurality of circuit units, a plurality of data signal lines and a plurality of data connection lines, wherein the data connection lines comprise a first connection line and a second connection line; at least one circuit unit comprises a data connection electrode; at least one circuit unit comprises a fan-out connection electrode; the second connection line is connected to the first connection line by means of the fan-out connection electrode; the first connection line is connected to the data signal lines by means of the data connection electrode; there is a first distance between the data connection electrode and the first connection line; there is a second distance between the fan-out connection electrode and the first connection line; and the first distance and the second distance are greater than 0.

A method, apparatus, and system for performing a task using a chain of thought model. An initiation prompt for execution by at least one machine learning model is provided, including an objective and instructions to define a plurality of agents for achieving the objective and an arrangement of the plurality of agents. A response to the initiation prompt is received defining the plurality of agents and the arrangement of the plurality of agents. The arrangement comprises a hypergraph in which a plurality of nodes represents the plurality of agents, respectively, and a plurality of edges represents data connections between the plurality of agents. A first agent and a second agent are instantiated based on the response. The first agent is represented by a first node of the plurality of nodes in the hypergraph. The second agent is represented by a second node. An output of the second agent is obtained.

The invention discloses an automatic driving evaluation system based on artificial intelligence, and relates to the technical field of automatic driving, and the system comprises the following components: a meteorological model coupling module, a sensor parameter adjustment module, an automatic driving simulation module and an evaluation analysis module. According to the invention, data connection is established between the meteorological model coupling module and an external meteorological model, comprehensive meteorological data including temperature, humidity, wind speed, rainfall, snowfall, visibility and the like are acquired in real time, and a simulated extreme weather scene is constructed based on the data. The sensor parameter adjusting module automatically adjusts performance parameters of a vehicle sensor according to different weather types to ensure the accuracy of sensor data under extreme weather conditions, and the automatic driving simulation module operates an automatic driving system model in a simulated extreme weather scene to simulate the vehicle driving process.

The invention provides a communication method and a communication device. The method comprises: a transmitting end device receives a first message from a receiving end device through a router, the first message comprising a first field for representing the signal strength of the receiving end device, and further comprising a second field for representing the signal strength of the router. And the sending end equipment determines the distance between the receiving end equipment and the router according to the first field, determines the distance between the router and the sending end equipment according to the second field, and establishes signaling connection with the receiving end equipment through the local area network when the two distances meet a certain condition. And when the distance between the transmitting end equipment and the receiving end equipment meets a certain condition, establishing data connection with the receiving end equipment in a point-to-point manner. According to the communication method and the communication device, the success rate of establishing the signaling connection by the electronic equipment through the local area network can be ensured as much as possible, and the success rate of establishing the data connection in a point-to-point manner can be ensured as much as possible.

The invention provides a fatigue driving early warning processing system and method applied to a commercial vehicle, and relates to the technical field of vehicle fatigue driving early warning. The system comprises a data acquisition device, a data processing device, a fatigue detection device and an early warning processing device, the devices are in data connection and are connected with a vehicle control unit of the commercial vehicle; the data acquisition device is used for acquiring vehicle driving behavior data and user data; the data processing device is used for preprocessing the behavior data and self data to obtain to-be-matched data; the fatigue detection device is used for performing fatigue detection processing according to the to-be-matched data, pre-stored reference data, a preset matching condition and a pre-training deep learning model, and determining a driving state; the early warning processing device is used for executing early warning processing and generating an early warning signal when the driving state is a fatigue state. The vehicle driving behavior data and the user data are fused to judge the driving state, the defect of a single data source is overcome, and the detection accuracy can be improved.

The invention relates to the technical field of data processing, in particular to a data processing method and processing equipment thereof.The data processing method comprises the following steps that on the basis of multi-source data to be processed, identification parameters and access timestamps of data sources are verified, access data are extracted through a data interface, and the data are stored in a temporary buffer area after the data type is verified to be matched with the format; and obtaining access verification data. According to the method, the authenticity and the timeliness of the data are ensured by checking the identification parameters and the access timestamps of the multi-source data, the data quality is improved, data connection is performed by using a security protocol, the protection strength of the data in the transmission process is increased, processor and memory resources are dynamically allocated, a resource allocation strategy is adjusted according to the task priority, and the resource allocation efficiency is improved. The data processing speed and response time are improved, the data processing process is optimized by adjusting the data processing parameters, the processing delay is reduced, and the data processing accuracy and speed are improved.