24 results about "Network integration" patented technology

The application discloses a reverse analysis method based on disassembly function recovery, which is used for solving the embedded reverse analysis process including satellite firmware embedded operating system and the like. Through a multi-step machine learning process, the method combines disassembler output and actual binary data to achieve efficient analysis of embedded operating system firmware. The specific steps include evaluating the effectiveness of the disassembler, creating training data, using neural networks to integrate multiple disassembler outputs to improve analysis accuracy, and further optimizing prediction performance through a context-aware integration model. The application can improve the accuracy and efficiency of reverse analysis, and has advantages in bypassing obfuscation mechanisms, improving string matching accuracy, and handling encrypted or special file systems.

A loopback test system and method of using the system to test optical connectivity of an equipment rack including an optical shuffle device and at least one server, with each server having server ports. The loopback test system includes a plurality of loopback optical interfaces that are each coupled to a respective network-side optical interface or a respective spare optical interface of the optical shuffle device. Shuffle optical waveguides of the optical shuffle device and loopback optical waveguides of the loopback test system cross-connect each server port in a first subset of the server ports to a respective server port in a second subset of the server ports, with at least one of the cross-connections passing through a spare optical interface and two of the network-side optical interfaces.

The application provides a PLC system communication method and system based on a DCS redundant network, relates to the technical field of industrial automation control system communication network integration, and comprises the following steps: network architecture reconstruction, direct access of a programmable logic controller (PLC) to a redundant industrial Ethernet of a distributed control system (DCS), and formation of a unified local area network; IP address planning, allocation of addresses of the same preset IP network segment to controllers of the DCS, PLCs, industrial personal computers and optional communication modules, and ensuring direct communication between devices; the application can save special communication modules and supporting equipment, reduce direct hardware cost, reduce cabinet space occupation and wiring cost by fully utilizing the existing redundant network infrastructure of the DCS; for a system containing multiple PLCs, the cost advantage is more obvious, no additional investment in redundant communication hardware is needed, and the overall investment is further reduced.

The present disclosure sets forth systems, apparatuses, and methods that enable network integration through reality hosts. A reality host provides a unified semantic interface that transforms information between external devices or software services and a network. The systems, apparatuses, and methods receive device capability information and data, semantically process the data to determine semantic understandings, transmit the understandings to a network, receive commands from the network, and transmit the commands to devices. Reality hosts may perform edge processing for privacy protection and real-time operations while simplifying complexity from the network.

The application provides a kind of rock-soil crack intelligent identification method based on unmanned aerial vehicle multi-source remote sensing data, and relates to the technical field of geotechnical engineering safety monitoring and geological disaster identification.Through the synchronous acquisition of ground surface image and laser point cloud data by unmanned aerial vehicle, the YOLO crack detection network is used for identification.The network integrates terrain texture prior attention module, point cloud constraint fusion layer and adaptive confidence re-estimation module, realizes the deep coupling of image texture and point cloud geometric features.Further, the point cloud is subjected to density clustering segmentation to extract spatial anomaly features, and the image recognition result and point cloud features are registered and fused through the main direction and depth consistency constraint to construct a crack spatial positioning model.Finally, according to the positioning result, the unmanned aerial vehicle is guided to fly close to the ground again to obtain high-precision images of the potential rock-soil crack development area, and the crack boundary is accurately segmented and the morphological parameters are extracted.The application significantly improves the accuracy, robustness and full-process intelligent level of crack identification.

This invention discloses a data hierarchical storage optimization method based on intelligent scheduling under cloud-network convergence, relating to the field of input / output data processing technology. It includes a data dynamic heat calculation module, a data processing module, a hard disk module, and a dynamic decay factor calculation module. The data dynamic heat calculation module collects data access characteristics in real time and constructs a corresponding dynamic heat model. The dynamic heat model calculates the heat value of an object. When a data object is accessed, its heat value is calculated using the heat value calculation formula. Based on the obtained heat value, the data is stored in the optimal hard disk location through the data storage location allocation unit within the hard disk module. This invention, by constructing a multi-dimensional dynamic heat model, achieves intelligent and adaptive optimization of data storage hierarchical storage, ensuring efficient utilization of storage resources and extending hardware lifespan.

This invention provides a structured organization method for massive industrial equipment based on network-computer-control collaboration, relating to the field of industrial equipment networking technology. The method first disregards network and computational latency, calculating the spatial location of industrial equipment over time based on order requirements. Then, based on the spatial location and control requirements of the industrial equipment, a hierarchical structure is created. Next, the industrial data transmission and computational latency are incorporated into the order production process, and the spatial location of the industrial equipment over time is recalculated. If the current organizational structure of the industrial equipment can support the network integration of new industrial equipment, the current structural division becomes the final organizational structure of the industrial equipment. Otherwise, it determines whether structural adjustments have been made under the same control frequency for the industrial equipment. If not, the structure is adjusted, and the spatial location of the industrial equipment over time is recalculated. If adjustments have been made, the control frequency is reduced, and the industrial equipment is re-divided into a hierarchical structure.

The utility model relates to computer network integrated interface technical field, and disclose a kind of computer network integrated interface of transmission data, comprising: integrated interface box and the transmission interface of being arranged in its front, transmission interface outer end both sides are equipped with protective batten, protective batten outside center fixed epitaxial plate;Integrated interface box front is inserted with guide rod, reset spring is sleeved on the surface of guide rod, and the both ends of reset spring are respectively attached with guide rod and integrated interface box inner wall;Epitaxial plate back is equipped with locating recess, and locating convex block is slidably connected in it, extrusion spring is arranged between locating convex block and locating recess inner wall, and locating convex block is connected with the outer end of guide rod.When data transmission connector is inserted, locating convex block is driven along locating recess and slides, and extrusion spring is pushed epitaxial plate by elastic deformation and drives both sides protective batten synchronous displacement, realize and the self-adapting clamping cooperation of joint shell, and the risk of external force collision and foreign matter invasion is reduced by the physical obstruction of protective batten.

This utility model discloses an online monitoring system for confined space operations, including a confined mine shaft, a command center, and a control terminal. The confined mine shaft is equipped with ventilation ducts and multiple integrated detection devices, a wireless broadband self-organizing network, and ventilation openings. Negative pressure fans are installed at the air outlets of the ventilation ducts. Multiple wireless broadband self-organizing networks form a mesh network controlled by the command center. The integrated detection devices are wirelessly connected to the wireless broadband self-organizing network. The command center receives and transmits signals from the integrated detection devices through the mesh network. This online monitoring system for confined space operations achieves wireless transmission by establishing a mesh network controlled by the command center through multiple wireless broadband self-organizing networks. It controls the opening of electric air valves at each ventilation opening by controlling the composition of the circulating airflow, promoting circulation in zones to expel hazardous gases, and treating common flammable and toxic gases.

The application belongs to the technical field of avionics system integration test, and discloses a kind of aircraft avionics multi-system hybrid simulation and collaborative efficiency evaluation verification system and method.The system includes avionics simulation and collaborative verification master unit, space-time consistency synchronization and integration hub, optical fiber reflection memory network, integrated large-scale program-controlled switch matrix and multi-specialty hybrid simulation cluster.The system injects high-stable clock source into the physical layer of optical fiber reflection memory network through space-time consistency synchronization and integration hub, establishes microsecond-level precision global unified hardware time base;Using integrated large-scale program-controlled switch matrix realizes the software-defined rapid reconfiguration of various verification modes such as "all-digital-hardware-in-the-loop";The master unit is built-in real-time performance evaluation engine, and the quantitative indexes such as collaborative action synchronization error and task chain completion rate are calculated online based on global timestamp.The application effectively solves the problems such as loose cross-system timing, complicated physical link reconstruction and lagging evaluation in the prior art, and significantly improves the verification efficiency and evaluation confidence of complex avionics system.

The present disclosure relates to the technical field of cloud network integration, and provides a service processing method, a capability exposure platform, a computer readable storage medium and an electronic device, wherein the service processing method is applied to the capability exposure platform, the capability exposure platform is configured to provide a plurality of service interfaces, different service interfaces correspond to different service capabilities in a cloud network integrated scheduling scenario, the cloud network integrated scheduling scenario is configured to schedule cloud network basic resources, and the method comprises the following steps: receiving a cloud network integrated service invocation request sent by a capability invoker through invoking a specific service interface, the cloud network integrated service invocation request being configured to request to invoke a specific service capability associated with the specific service interface; forwarding the cloud network integrated service invocation request to a capability provider, and returning a request response result returned by the capability provider to the capability invoker when the request response result is received. The present disclosure can provide more flexible and efficient cloud network integrated scheduling services for the capability invoker.

This invention discloses a highly integrated power divider and difference network, integrated within a printed circuit board of a radar RF system. It includes a difference network, four power dividers, and first to fourth ports. Each power divider includes a power divider circuit, a common port, and sixteen power divider ports. The power divider circuit is connected to the difference network via the common port, and the sixteen power divider ports are used for input and output signals. The difference network includes four 3dB coupling bridges, four 90° delay lines, and four loaded stub transmission lines connected between the four 3dB coupling bridges and the four common ports. The first and second 3dB coupling bridges are connected to the four common ports, and the third and fourth 3dB coupling bridges are connected to the first to fourth ports. In transmit mode, it outputs 64 power divided signals; in receive mode, it outputs one sum signal and three difference signals. This invention integrates the power divider and difference networks within a printed circuit board, meeting the requirements of radar RF systems with strict limitations on profile height.

This application provides a method and apparatus for processing dynamic terminal status information, relating to the field of satellite communication and terrestrial network integration technology. The method includes: first, obtaining the ground coverage area and corresponding coverage time window of a low-Earth orbit (LEO) satellite during a future service period; then, determining a regional dynamic terminal status table from a local terminal status information database, wherein the terminal status information database stores dynamic status information reported by ground terminals across the entire network, and the regional dynamic terminal status table includes dynamic status information of terminals located within the ground coverage area; finally, before the coverage time window arrives, sending the regional dynamic terminal status table to the LEO satellite to assist the LEO satellite in making local service decisions. This application embodiment can be used in collaborative service scenarios between LEO satellites and terrestrial networks, reducing real-time satellite-to-ground interaction latency, reducing power supply link dependence, and improving the efficiency of satellite local service decision-making.

The application discloses a carbon fiber composite material damage prediction method and device based on machine learning, and relates to the field of machine learning.The method comprises the following steps: acquiring target material production timing parameters, combining material models and expected service life to search for a matching sample set, determining possible damage types and occurrence rates, screening potential damage types with occurrence rates exceeding a threshold, calculating damage detection factors, selecting a network integrated target detector from a damage detection network pool based on the factors, calculating damage probabilities through multi-network voting, and identifying the carbon fiber composite material as high-risk material if any potential damage probability exceeds a preset threshold.The application introduces machine learning technology, realizes accurate prediction of potential damage probabilities of carbon fiber composite materials, guides optimal allocation of detection resources based on the prediction, and significantly improves overall detection efficiency.

This invention belongs to the field of image processing technology and discloses an image denoising method based on a dual-output regularized network using a composite Jacobi loss. The method includes: first, performing data augmentation, resizing, and normalization on the training dataset and the image to be denoised to generate a noisy image; then, constructing a dual-output FFDNet regularized network, which integrates four functional modules: noise awareness (NA), multi-scale feature fusion (MSFF), hybrid attention (CBAM), and global-local feature enhancement (GFMM-LFEM). This network simultaneously outputs intermediate feature maps and reconstructed images; next, designing a composite loss function including an MSE fidelity term, an L1 regularization term, and a Jacobi regularization term, constraining the monotonicity of pixel changes through the Jacobi matrix; subsequently, training the dual-output FFDNet regularized network using the Adam optimizer and saving the optimal model on the validation set; finally, embedding the trained network as a nearest neighbor denoising module into the PnP-ISTA iterative framework, and iteratively optimizing to output the final denoised image.

The application discloses a kind of adaptive end-to-end decision planning methods for vehicle-mounted edge computing platform, method includes: obtaining the driving parameter of ego vehicle, navigation instruction and image frame sequence, and extracting state feature vector;According to state feature vector, calculate environmental uncertainty using pre-trained SQR network model, and calculate model uncertainty according to multi-SQR network integration calculation model, and add to obtain total uncertainty;Compare environmental uncertainty, model uncertainty, total uncertainty with the division threshold obtained according to uncertainty distribution statistics, determine the risk quadrant to which the current vehicle state belongs;According to the risk quadrant of current state, select the offline trained small expert model, medium expert model or large expert model to output future reference trajectory and target speed.The application realizes adaptive, safe and efficient end-to-end decision planning for multi-scene driving behavior under limited vehicle-mounted computing power.

The present disclosure provides a network integration control method and a network integration control device. The network integration control method includes: transmitting, by a Near-RT RIC, a control request message to a network node, the control request message including M Control service styles corresponding to a Control service and relevant information about one or more control actions corresponding to each Control service style; and receiving, by the Near-RT RIC, a control acknowledgement message from the network node, the control acknowledgement message including an execution outcome of each control action in the M Control service styles performed by the network node, wherein M is an integer greater than or equal to 1.

The present application provides a kind of energy consumption prediction and optimization control method and device in coal conveying process, by deploying fiber bragg grating sensing network, integration raman scattering and polarization state analysis module, real-time acquisition phase shift, temperature, humidity and polarization change data, construct multi-resolution phase mapping model, combined with environmental compensation and torsion force, accurately predict friction power consumption and total energy consumption.System uses ring optical fiber topology structure and loop switching protocol, automatically switches standby path when optical path is locally damaged, guarantees data continuity;And through the environment drift and torsion threshold abnormal detection mechanism, timely trigger alarm and pause optimization, ensure stable operation.Further, based on energy consumption heat map, construct phase synchronization control loop, dynamically adjust the driving frequency and tension of each section of equipment by programmable logic controller, fuse temperature and humidity gradient and polarization data for real-time compensation and calibration, minimize phase mismatch, realize multi-section cooperation, energy-efficient operation.

This invention discloses a collaborative estimation method for lightning location and frequency based on attention mechanisms and bias calibration, belonging to the fields of meteorological disaster monitoring and deep learning technology. The method includes: constructing a spatiotemporally aligned multi-source mapping dataset based on multi-channel data from geostationary meteorological satellites and ground-based lightning location network data; constructing a feature-enhanced U-shaped network FE UNet, which integrates a channel feature enhancement module, a dual-attention residual module, and an attention gating module, and is trained using a mask loss function based on Gaussian priors to enhance the spatial perception capability of sparse lightning features; and performing post-processing statistical bias calibration on the lightning frequency map output by the model, recovering the physical magnitude through binning statistics and linear fitting. This invention solves the problems of intensity underestimation and inaccurate spatial positioning in traditional methods for sparse lightning estimation, significantly improving the accuracy and reliability of lightning monitoring, and can be widely applied in the field of wide-area all-weather meteorological disaster early warning.

A loopback test system and method of using the system to test optical connectivity of an equipment rack including an optical shuffle device and at least one server, with each server having server ports. The loopback test system includes a plurality of loopback optical interfaces that are each coupled to a respective network-side optical interface or a respective spare optical interface of the optical shuffle device. Shuffle optical waveguides of the optical shuffle device and loopback optical waveguides of the loopback test system cross-connect each server port in a first subset of the server ports to a respective server port in a second subset of the server ports, with at least one of the cross-connections passing through a spare optical interface and two of the network-side optical interfaces.

The application provides a neural network integration method based on adaptive graph structure learning, and relates to the technical field of artificial intelligence graph learning. It comprises: constructing a topological dependent channel and a topological independent channel to realize double-layer fusion of features and structures, and distributing adaptive weights based on node reliability to form a fusion representation result. Further, through a propagation weight reduction mechanism, controversial edges are corrected, a joint optimization objective combining task prediction error and structure robustness constraint is established, and edge weights, fusion weights and model parameters are updated synchronously. In the reasoning stage, a key edge lightweight review and safety guard control mechanism is introduced to suppress abnormal propagation, and finally, a graph structure and robust prediction result are obtained. The application solves the problems of insufficient structure adaptation and missing integration reliability scheduling in the prior art.

The application discloses an intelligent interaction system based on APP five-network integration technology and an implementation method, relates to the technical field of information interaction, and realizes the deep integration and intelligent interaction of multi-network terminals (APP, applet, H5, PC website and V station) through hierarchical architecture design (unified service support layer, data collaborative processing layer, intelligent adaptive interaction layer and multi-network collaborative optimization layer). The system constructs a unified API gateway based on micro-service and containerization technology, integrates multi-network terminal data through ETL technology and realizes real-time synchronization by using a message queue; an intelligent terminal detection module combines user equipment features and behavior data with an AI interaction engine, dynamically adjusts page layout and generates personalized strategies; and the multi-network collaborative optimization layer promotes function complementation, content adaptation and video propagation optimization. The application solves the problems of scattered data, poor collaboration and insufficient intelligent interaction of traditional systems, and significantly improves the coherence of user cross-terminal experience.