19 results about "Online visualization" patented technology

The invention relates to the technical field of data processing, in particular to a product package online design display method and system. The method comprises the following steps of obtaining packaging target product data and determining the outer contour of a product, reconstructing a simulation to-be-packaged product frame, obtaining a packaging leakproofness requirement and estimating a packaging use scene, generating packaging process constraint data, analyzing entity packaging constraints, and fusing the packaging constraint data to support packaging process simulation. The method comprises the following steps: generating simulated product packaging data, constructing a packaging demand reverse environment field according to a leakproofness demand, carrying out leakproofness re-measurement on the simulated product packaging data, generating packaging design leakproofness data, carrying out packaging backtracking optimization through the data, finally obtaining qualified product packaging design data, and carrying out online visual display. According to the invention, efficient and intelligent product package online design and display are realized.

This application discloses an online optimization method and apparatus for hot forging process parameters, applicable to the field of hot forming technology. Based on a full-factor experimental design, this application performs multi-scale simulation of hot forgings to obtain grain size simulation results. Then, it obtains a pre-defined mesh corresponding to the final forging as the base mesh and constructs a rapid grain size prediction dataset based on the grain size simulation results. Next, it constructs a rapid grain size prediction model for hot forgings and a visualization model based on this dataset. The hot forging process parameters are then input into the rapid grain size prediction model to predict real-time grain size data. The real-time grain size data is visualized using the visualization model, thus achieving online visualization prediction of the global grain size of the hot forging. Finally, a biomimetic intelligent optimization algorithm is used to optimize the hot forging process parameters, enabling rapid optimization of process parameters.

A blind zone visualization system for an autonomous vehicle is described. The system includes at least one visual sensor mounted on a roof of the autonomous vehicle and at least one mirror mounted on a hood of the autonomous vehicle. The at least one mirror redirects a portion of a field of view (FOV) of the at least one sensor into a volume of space in front of the autonomous vehicle. The system also includes at least one processor programmed to execute computer-readable instructions that cause the at least one processor to receive sensor data output from the at least one visual sensor and representative of the volume of space, detect, from the sensor data, no obstacle is present in the volume of space, and transmit a first signal to a control system of the autonomous vehicle to control the autonomous vehicle to travel forward through the volume of space.

The invention provides a real-time online visualization method and device for multi-resolution grid data, and belongs to the technical field of data processing and visualizing.The method comprises the steps that firstly, grid data are merged into sequence columns in the Z direction to form a multi-resolution stacked grid model, the multi-resolution stacked grid model is stored in an HDF5 file according to resolution levels, and parallel I / O is achieved in combination with MinIO distributed object storage; secondly, a Z-Order index and directory server strategy is designed, and the data scheduling and transmission efficiency is improved; a browser end adopts a virtual quadtree structure to organize data, and realizes multi-thread real-time data receiving in combination with WebWorker and WebSocket, so that the blockage of a main thread is avoided; finally, the LOD level is dynamically selected based on the viewpoint distance, and efficient volume rendering is achieved through a GPU texture array and LOD InfoTexture. According to the method, online real-time updating is supported, the loading delay is remarkably reduced, and the visual frame rate is improved.

This invention provides a method and apparatus for real-time online visualization of multi-resolution grid data, belonging to the field of data processing and visualization technology. First, the grid data is merged into hierarchical columns along the Z-axis to form a multi-resolution stacked grid model, which is then stored in HDF5 files according to resolution levels. Parallel I / O is achieved using MinIO distributed object storage. Second, a Z-Order index and directory server strategy are designed to improve data scheduling and transmission efficiency. On the browser side, a virtual quadtree structure is used to organize the data, and WebWorker and WebSocket are used to achieve multi-threaded real-time data reception, avoiding main thread blocking. Finally, the LOD level is dynamically selected based on the viewpoint distance, and efficient volume rendering is achieved using GPU texture arrays and LODInfoTexture. This method supports online real-time updates, significantly reduces loading latency, and improves the visualization frame rate.

The application discloses a kind of optical fiber composite overhead ground wire temperature monitoring method, system and storage medium;It relates to electrical engineering technical field;When built-in optical fiber in optical fiber composite overhead ground wire OPGW generates light pulse, its backscattering light signal is acquired and analyzed, the spatial position of each point along line in ice-melting section and temperature value are analyzed in real time, and the temperature distribution curve of whole line is generated;By comparing temperature distribution curve and preset temperature threshold, abnormal high temperature section is located;The application realizes the global, real-time, online visualization monitoring of OPGW temperature state in ice-melting process, and provides direct data support for realizing adaptive, fine regulation and control of ice-melting current after linkage with ice-melting device, while ensuring ice-melting efficiency, effectively prevents OPGW optical fiber from being damaged due to overheating.

The invention discloses an intelligent data filling and reporting method, system and device based on an online word document template and a medium, belongs to the technical field of computer information processing and web end word document processing, and aims at solving the technical problem of how to overcome the defects of staticizing, low-efficiency verification and difficult cooperation of a traditional document template. In order to realize automatic analysis, semantic mapping and accurate filling of cross-platform data and improve data filling efficiency and accuracy, the technical scheme adopted by the invention is as follows: adaptation of multi-source data: connecting a data source through a plurality of types of data source adapters, establishing a data set, and realizing automatic analysis, semantic escape and accurate filling of the multi-source data; generating a dynamic template: arranging document content through an online word visual page, adding a form component, configuring field attributes, and previewing a document to realize automatic matching, automatic verification and abnormal data marking of an external data source and a template field; making a chart; and previewing and uploading the document.

The invention relates to the technical field of data backup and disaster recovery, in particular to an automatic backup system and method for operation and maintenance, and the system comprises file data backup, Nacos configuration backup and database table logic backup. The method has the advantages that safe and efficient remote backup storage is achieved through the SFTP, timing backup of application data, service data, logs and configuration files is supported, and a backup strategy can be flexibly configured through keyword fuzzy matching and specified name filtering. Meanwhile, the system provides an HTTP (Hyper Text Transport Protocol) interface docking short message pushing service, notifies an administrator of a backup state in real time, supports online visual query of a backup result, and greatly improves the operation and maintenance efficiency. At present, the scheme has been successfully applied in a communication system, the data loss risk is effectively reduced, manual intervention is reduced, and reliable guarantee is provided for service continuity.

This invention belongs to the field of visual inspection technology, specifically relating to a method and system for classifying the degree of contamination on post insulators based on multispectral imaging. This invention employs an adaptive convolutional processing method with a lightweight fusion channel attention mechanism to more accurately capture the contamination features on the surface of post insulator skirts. Through a parallel extraction and fusion mechanism of multi-scale features, the generalization and detection capabilities for various degrees of contamination on insulator skirts are greatly improved. Furthermore, the three-dimensional weight design of the parameter-free attention processing method can obtain the precise morphology of tiny contamination areas on the surface of post insulator skirts, thereby improving recognition accuracy. This invention achieves accurate classification and online visualization monitoring of the degree of contamination on the surface of post insulator skirts under complex backgrounds while reducing the number of parameters and computational complexity.

A visual on-line measuring device for inner pipe cross-section distortion during bending of metal pipe with variable diameter. The visual on-line measuring device includes: a visual inspection module, a hose, an in-pipe support device, and an axial feeding device. The hose is mounted in the axial feeding device, one end of the hose extends out of the axial feeding device and is mounted with the in-pipe support device, and the visual inspection module is mounted at one side of the in-pipe support device away from the axial feeding device.

This application discloses a monitoring system for ash accumulation on the low-temperature heating surface of a boiler, belonging to the field of pulverized coal boiler combustion technology. It aims to solve the technical problems of inaccurate observation of ash accumulation on the low-temperature heating surface in existing boiler shafts and the lack of intuitive basis for soot blowing decisions. The system is installed at the corresponding location in the boiler shaft through an opening in the furnace wall. It includes a lens rod with a lens and matching supplementary lighting components, an imaging acquisition unit, and can be equipped with an intelligent control module and a grayscale analysis module to achieve online visual acquisition and automatic analysis of ash accumulation status. This system effectively improves the accuracy of ash accumulation monitoring and adaptability to complex operating conditions, significantly reduces deployment and maintenance costs, provides accurate decision-making basis for soot blowing operations, significantly reduces soot blowing energy consumption and heating surface loss, and improves the stability and intelligent management level of boiler operation.

The application provides an AR online visualization implementation method for edge computing terminal data, which realizes the mobile visualization of an AR visualization device by connecting the AR visualization device with edge computing terminals corresponding to different real scenes, so that the AR visualization device can always obtain monitoring image data from the corresponding edge computing terminal during the position change of the different real scenes, ensures that the AR visualization device can still realize continuous and stable display operation when moving to different real scenes, and improves the working reliability of the AR visualization device.

The invention discloses a machine room asset checking method and system based on an online visualization tool, belongs to the technical field of communication machine room asset management, and aims to solve the technical problems of data authenticity, position visualization and planar graph effectiveness in communication machine room asset management. Comprising the steps of drawing a machine room plane graph through an online visual tool, generating rack positions in batches by initializing layout parameters, splitting AB operation surfaces or combining adjacent AB surfaces according to a rule, calculating a safe distance between the rack positions and obstacles, performing typesetting and alignment on the rack positions, and dynamically displaying the rack positions / rack states in a color and frame mode. Editing the outline of the machine room and the position of the rack in a dragging mode; and synchronizing the drawn plane graph data to a checking system through an API (Application Program Interface), carrying out three-level comparison on the plane graph data and stock data of the comprehensive capital system, marking the position of a problem rack, and exporting a rectification list containing coordinate screenshots.

The application discloses an electric meter non-stop power supply method and device, which comprises a driving unit, a processor unit arranged below the driving unit and a zoom unit arranged on the right side of the driving unit; a mounting base is arranged at the bottom of the processor unit, and a fixed focus unit is arranged on the left side of the mounting base; the driving unit is horizontally rotatably arranged above the processor unit, and the zoom unit is vertically rotatably arranged on the right side of the driving unit. The application provides an online visual monitoring terminal for a power transmission line and a matching system, which utilizes the monitoring terminal to monitor the condition of the power transmission line in real time, and then sends image, photo and other data to the system for processing, so that the system can automatically find or the staff can timely and effectively find hidden dangers existing in the power transmission line according to the data; the application has the advantages of being capable of being applied to the power transmission line for online real-time monitoring, being not affected by a bad environment, reducing the pressure of manual inspection, being relatively higher in efficiency, being relatively lower in cost and being capable of timely finding hidden dangers.

The invention discloses an online monitoring method and system for the slurry stirring effect of a desulfurizing absorption tower, and relates to the technical field of absorption tower slurry stirring monitoring. The method comprises the following steps: acquiring tower wall temperature data under a normal working condition to establish a reference model containing a normal temperature range and a uniformity threshold value of each measuring point; during operation of the system, tower wall temperature and environment temperature data are collected in real time and subjected to compensation processing; comparing the processed data with a reference model, and performing grading judgment on the stirring effect based on the temperature deviation amplitude, the area proportion of the abnormal region and the duration time; and triggering corresponding early warning according to a judgment result and outputting diagnosis information. The system comprises a temperature monitoring unit, an environmental parameter acquisition unit, a data processing unit, a central processing unit, a man-machine interaction unit, an early warning execution unit and the like. According to the invention, real-time, online and visual monitoring and early warning of the stirring effect are realized, and the problems of strong subjectivity and early warning lagging of the traditional monitoring means are solved.

The invention discloses a synchrotron radiation experiment-oriented HDF5 data online visualization method and a synchrotron radiation experiment-oriented HDF5 data online visualization system. According to the invention, a webpage system based on a front-end React, a rear-end Django and a database MongoDB is constructed, and the webpage system is deployed on a server through a Docker. The system firstly provides user login and authority management functions, and hierarchical access control can be realized according to the requirements of different experiment line stations; then, a user is supported to browse an HDF5 data file in a directory tree form at a webpage end, and structure information such as group, dataset and attrites in the file can be analyzed; according to the method, a user can check multi-dimensional data in a file at a webpage end, and can directly perform visual operation on image data, including interaction of zooming, overturning, display mode switching and the like, so that online rapid data understanding and analysis are realized, and the data processing and utilization efficiency of a synchrotron radiation experiment is remarkably improved.

The invention discloses an on-line visual test system and method for gas-liquid separation of a T-shaped pipeline under multi-degree-of-freedom motion, and the system comprises a T-shaped pipeline separator, a six-degree-of-freedom vibration platform system, a gas-liquid circulation system, a particle image velocity measurement system, an electrical resistance tomography system, and a vibration monitoring system. The T-shaped pipeline separator is installed on the six-degree-of-freedom vibration platform system through a fixing frame, and an inlet and an outlet of the T-shaped pipeline separator are connected to the gas-liquid circulation system. The particle image velocity measurement system is installed on the six-degree-of-freedom vibration platform system, and an electrode sensor of the electrical resistance tomography system and a sensor of the vibration monitoring system are installed on the pipe wall of the T-shaped pipeline separator. According to the device and the method, a complex motion environment can be accurately simulated, transient flow field, phase distribution and structural vibration response data in the separator can be synchronously and visually acquired on line, and an effective means is provided for researching a gas-liquid separation mechanism and evaluating performance under a dynamic condition.

The present application relates to the technical field of heat management of battery replacement cabinet, and specifically discloses an intelligent temperature control method and system for a photovoltaic battery replacement cabinet and a medium, the method comprising: injecting a weak sinusoidal scanning current into a battery unit during a charging gap period, collecting a voltage response signal, and extracting a wide-frequency thermal-resistance impedance spectrum feature set; inversely analyzing a thermal stress cumulative damage index based on the feature set using an inverse problem solving model, and predicting a thermal flow competitive imbalance region according to the spatial dispersion of the damage index in the battery cluster; controlling an active thermal flow guide plate array according to the positioning information of the imbalance region, and constructing a controllable thermal flow circulation channel for directing the residual heat of the battery during the intermittent period to the imbalance region. The present application realizes online visualization perception of the internal thermal state and damage degree of the battery, establishes a thermal flow competition trend prediction mechanism, and significantly reduces the temperature control energy consumption under the premise of ensuring safety through a zero-energy thermal flow rebalancing execution system.

This invention relates to an intelligent failure mode identification system and method for ship structures based on multi-source field fusion. The system includes a multi-source heterogeneous data acquisition module, a multi-modal data collaborative processing module, a virtual-real data fusion module, an intelligent failure mode identification module, and an online visualization and criterion generation module. It constructs a point-field fusion sensor network to synchronously acquire discrete measurement point and full-field digital image related data; it reconstructs the internal displacement field using a Bayesian inverse shell model and derives the continuous strain field using an improved sliding least squares method; and achieves soft replacement of virtual and real data through covariance cross-fusion and iterative nearest-point geometric registration. It utilizes a depth map convolutional network and a rule-based decision table to perform three-level failure mode identification and evolution tracking from stiffened plate to frame to overall structure; and renders the field response in real time and generates ultimate bearing capacity criteria. This system realizes the response field reconstruction and intelligent failure mode identification of the entire process from local buckling and plastic hinge formation to final collapse in ship structure ultimate strength tests.