193results about How to "Improve loading speed" patented technology

The invention discloses a multi-source three-dimensional model lightweight processing and lossless compression supporting method, system and device and a storage medium, and relates to the three-dimensional technical field, and the method comprises the following steps: carrying out format compatibility check on an imported three-dimensional model, and analyzing the geometric structure, texture characteristics and material attributes of the model; the geometric structure of the three-dimensional model is simplified by adopting a quadratic error measurement algorithm and edge folding, the simplified model is optimized through edge segmentation operation, and a lightweight model is obtained; and compressing geometric data of the lightweight model by using a data compression algorithm, and compressing texture data through predictive coding to complete lossless compression of the three-dimensional model. According to the method, the loading speed and the real-time rendering efficiency are remarkably improved by reducing the size of the three-dimensional model file and optimizing the texture compression algorithm. The lossless compression technique ensures that a high-quality visual effect is kept in the lightweight process, the lightweight model reduces the storage space requirement, and the energy consumption of data transmission and processing is reduced.

The invention belongs to the technical field of front-end development, and particularly relates to a React framework-based tree component optimization method fusing virtualization rendering and increment rendering. Comprising the steps of S1, data preprocessing; S2, dynamic virtualization rendering: dynamically calculating a node index range in a visible area according to a real-time scrolling position of a user viewport, only rendering nodes in the range, and realizing seamless lazy loading of data through scrolling event monitoring; s3, intelligent incremental updating: identifying changed nodes through a state change comparison algorithm, and executing local re-rendering only for the changed nodes based on a component life cycle control mechanism of a React framework; and S4, lazy loading cooperative control. The method aims at solving the problems in the aspects of performance, memory management, user experience and the like when a tree component in a React ecological system processes large-scale data, and is widely applied to various Web application program development scenes needing to display and operate a large-scale tree data structure.

According to the technical scheme, the BIM model Web end lightweight display method comprises the following steps that S1, a project drawing is created; s2, modeling by using BIM software, and constructing a model hierarchical structure; s3, performing multi-level integration compression on the BIM model; s4, the lightweight BIM model is imported into Unity, and rendering is carried out; s5, UI interface element design is carried out by using a Unity UI; s6, a WebGL platform is set in the Unity, and WebGL items are packaged; and S7, deploying the file to a cloud server. The method has the beneficial effects that multi-level integration lightweight is adopted, and the integrity of geometric data and material texture information of the BIM model is guaranteed. The rendering detail level of the model is adjusted through Lod multi-level detail management built in Unity, and the rendering burden is reduced while the quality of the BIM model is ensured. And by utilizing a Unity asynchronous loading function, the transmission data volume is effectively reduced, and the loading speed and the rendering performance are improved.

The invention relates to the technical field of data transmission and updating, in particular to a data transmission and updating system and method of a cloud mobile phone. According to the technical scheme, the system comprises an intelligent network monitoring module, a dynamic bandwidth allocation module, a server load balancing module, an intelligent data synchronization module and a cache management module, and the intelligent network monitoring module monitors network conditions, including network bandwidth, network congestion degree and network stability, between a user terminal and a cloud server in real time. Through the synergistic effect of the intelligent network monitoring module, the dynamic bandwidth allocation module, the server load balancing module, the intelligent data synchronization module, the cache management module and the like, the network condition is accurately monitored, the bandwidth is reasonably allocated, the server load is optimized, the data synchronization and completeness are ensured, and the cache efficiency is improved; stable and reliable network connection, preferential key data transmission and rapid data synchronization and loading are brought to users, and the use experience of the cloud mobile phone and the overall performance of the system are greatly improved.

The invention discloses a map navigation method and system based on integrated navigation, and particularly relates to the field of integrated navigation, comprising compass data acquisition, magnetic declination correction, map integration, navigation system data acquisition, navigation system data analysis and integrated navigation. According to the method, the precision and robustness of the navigation system are remarkably improved, different environments can be dynamically adapted, and the error influence is reduced; rich geographic information support is provided by presetting an electronic map and POI marks; the real-time navigation service provides visual road condition information and path planning, the user experience is enhanced, and on the whole, more accurate, reliable and convenient navigation service is provided for the user.

The invention discloses a method for generating a three-dimensional building GLTF file based on index compression. The method comprises the following steps: S1, collecting three-dimensional coordinate data of a building; s2, grouping and classifying the data according to floors to form a classification index structure based on a hash table; s3, selecting a reference model and recording Mesh data and vertex coordinates of the reference model; s4, calculating a translation matrix T of the polyhedral structure, and performing coordinate transformation; s5, generating Mesh data of other polyhedrons based on index compression, and reducing redundant surface data by adopting a topology preserving surface optimization algorithm; s6, independently processing the geometric data of each floor, and generating corresponding Mesh data and Node nodes; and S7, combining all floor data to generate a complete GLTF file, and performing compression by using a dynamic Huffman coding algorithm. Through the improved index compression and dynamic Huffman coding technology, the file size is remarkably reduced, the transmission efficiency is improved, and the geometric and topological integrity of the model is ensured.

The invention provides an efficient AI model management and safe loading system and method oriented to a Serverless framework, and aims to solve the high concurrency performance bottleneck and potential safety hazards of AI model loading in a Serverless environment. According to the system, an AI model management module is introduced, efficient semantic cutting is carried out on an uploaded AI model, and fine-grained encryption model blocks are generated; a high-performance P2P network is constructed by utilizing a Serverless cluster, and distributed storage and fast routing of model blocks are realized; a function instance loads a model block in a high-concurrency mode through a P2P network, a multi-stage intelligent cache is constructed locally, and dynamic caching and prefetching are achieved. According to the method, the model loading parallelism degree is improved by adopting a heuristic cutting algorithm, lightweight model updating is realized by utilizing incremental updating transactions, and the loading overhead is minimized. According to the method, the AI model loading performance and efficiency in the Serverless scene are effectively improved, meanwhile, the flexibility and safety of model management are considered, and the method has remarkable technical innovation and practical value.

The invention relates to the technical field of information, and provides a dynamic component loading system based on a React framework, which comprises a server side, a user side and a background control side, realizes component preloading and caching through data interaction and analysis, and comprises a data acquisition unit, a front-end component management unit, a resource preloading unit, a cache management unit and a component loading optimization unit. A front-end component management unit optimizes loading configuration through simulation comparison, a resource preloading unit trains a model to predict user behaviors, a cache management unit carries out clustering analysis on high-frequency access data cache, and a component loading optimization unit optimizes model prediction by using a genetic algorithm, so that the loading efficiency is improved; according to the method and the device, the problem of low loading efficiency of the traditional component is effectively solved, and the Web front-end loading speed and the user experience are improved.

The invention discloses an online upgrading method and device based on ZYNQ, relates to the technical field of ZYNQ online upgrading, and solves the problems that in the prior art, after ZYNQ firmware upgrading fails, equipment crashes, and ZYNQ firmware loading logic is unreasonable. The method comprises the steps that ZYNQ firmware is designed into three parts, all the firmware achieve different functions, and all the firmware achieve different functions; the method comprises the following steps that: a ZYNQ firmware is divided into boot firmware, application program firmware and backup program firmware which are respectively stored in an ROM (Read Only Memory), after the ZYNQ is powered on, the firmware is searched and verified from an initial address of the ROM, the ZYNQ firmware is operated after the verification is passed, the normal operation of a program is realized by loading the backup program firmware after the application program firmware fails to be loaded, and when the firmware is upgraded, the application program firmware can be updated by loading the backup program firmware. According to the method, only the running program firmware is subjected to coverage upgrading so as to ensure that the other program firmware is not damaged, and by using a multiple loading method, it can be ensured that in online upgrading, no matter whether the upgraded application firmware is damaged or not, loading can be carried out by skipping to the position of the correct firmware.

The invention discloses a model display control method and device based on a digital twin system, and a medium. The method comprises the following steps: acquiring comprehensive information of a model; performing polygon simplification on the components of the model according to the simplification rate of the components in the comprehensive information to obtain a simplified component set; and rendering the component set according to the attribute data of the component set, and performing display control on the component set of the rendered model. According to the model display control method and device based on the digital twin system and the medium, accurate polygon simplification is performed on model components by using the simplification rate, and the model data volume is remarkably reduced, so that the loading speed is increased, and the system performance is improved; according to the method, rendering and display control are carried out by utilizing the attribute data of the component set, so that the model can still present a high-quality visual effect after being simplified, and the problem that the loading speed of the model is difficult to improve so as to carry out effective display control on the model can be solved.

The invention relates to the technical field of artificial intelligence, in particular to a JavaScript module packaging method, system and device based on artificial intelligence and a medium, and the method specifically comprises the steps that according to a configuration file, a module dependency graph is established by analyzing the dependency relationship among multiple JavaScript modules of a development project, and the packaging sequence of the multiple JavaScript modules is determined according to the module dependency graph; based on the module dependency graph, performing module granularity division on each JavaScript module through a dynamic programming optimization algorithm, and determining a code splitting scheme of each JavaScript module; according to the historical access data and the current load condition of each JavaScript module, determining the resource demand quantity of each JavaScript module by adopting a resource demand prediction algorithm; and according to the packaging sequence, the code splitting scheme and the resource demand quantity, a plurality of JavaScript modules are packaged, and a JavaScript code package is generated. According to the method, intelligent management and optimization of the JavaScript module are realized, powerful support is provided for development of large complex projects, and the development efficiency and the product performance are remarkably improved.

The invention discloses a Zynq-based convolutional neural network hardware acceleration system, which is realized based on a Zynq heterogeneous chip and comprises a PL end module, a PS end module and a storage module. The PL end module comprises a convolution acceleration module, a full connection layer acceleration module and a Softmax activation module and is used for completing convolution calculation, full connection operation and activation function processing; the PS end module comprises an input data processing module and a post-processing module and is responsible for loading and preprocessing input data and sorting and screening detection results. The storage module is composed of an on-chip memory and an off-chip memory, wherein the on-chip memory stores an intermediate processing result of input data, a convolution kernel and intermediate feature map data; and the off-chip memory stores the original image data, the weight parameter of the full connection layer and the final detection result. All the modules are connected through a 64-bit AXI bus, the PS end module is responsible for coordinating data flow, and the PL end module executes efficient parallel computing. The system makes full use of the high-performance characteristic of the Zynq heterogeneous architecture, is suitable for an efficient reasoning acceleration scene of the convolutional neural network, and particularly has a wide application prospect in embedded AI equipment.

The invention provides an NFC chip intelligent data loading method and system, and the method comprises the steps: effectively extracting and modeling historical use data, so as to predict a future use scene; generating a priority list of the loaded data according to the scene prediction result; the loading strategy is adjusted according to the real-time signal intensity, and the loading reliability of the high-priority data is ensured; the loaded data is quickly analyzed, and it is ensured that the data can be used by a user in time; and optimizing the scene prediction model and the loading strategy based on feedback data in the loading process to form closed-loop optimization. According to the method, intelligent scene prediction, signal intensity perception and hierarchical loading strategies are introduced, so that the data loading efficiency and reliability are comprehensively improved.

The invention relates to a dynamic website development system and method, in particular to a multifunctional dynamic website development method and system. The system comprises a micro-service architecture, a headless CMS, a front-end framework, a dynamic page staticizing module, an intelligent SEO optimization module, an authorization and security management module, a continuous integration and deployment module and a performance monitoring and optimization module. Through cooperative work of the modules, the flexibility, the safety, the performance and the SEO optimization effect of website development can be effectively improved, and meanwhile the legality and the data protection of the system are ensured.

The invention discloses a page picture resource progressive loading method, device and system and a storage medium, and relates to the technical field of data processing. The method comprises the steps that a timer event is set, and when a page is loaded, picture resources are searched in advance through the timer event; monitoring the page, and when the page changes, searching for picture resources needing to be asynchronously loaded; when the picture resources needing to be asynchronously loaded are found, the picture resources needing to be asynchronously loaded are replaced with thumbnails, and asynchronous loading is prepared; and monitoring the intersection condition of the picture resource and the visual area of the page, and when the picture resource is intersected with the visual area, asynchronously loading the original resource of the picture. By adopting the method provided by the embodiment of the invention, the data volume when the page is loaded for the first time is reduced, so that the loading speed is increased; repeated loading of the same picture resource is avoided, and network requests and bandwidth occupation are reduced; therefore, the best loading experience can be obtained no matter how the user interacts with the page.

The embodiment of the invention discloses a page loading method, a page loading device, electronic equipment and a storage medium. The page loading method comprises the steps of determining a target page displayed after a current page; a replacement page is preloaded, and the display content of the replacement page is the same as that of the target page; and loading the replacement page under the condition that a request for loading the target page is received. According to the method, the page loading speed can be increased.

The embodiment of the invention discloses a page loading method and device and a computer program product, and belongs to the field of application programs.The method comprises the steps that a native page of an application program is loaded, and a webpage view page of a webpage view assembly is loaded; displaying a native page and a webpage view page located on the upper layer of the native page to obtain a first page; wherein the webpage view page is a transparent page, and the page content of the native page is displayed through the webpage view page. According to the method, the page loading speed can be increased.

The invention provides a multi-terminal multi-size page adaptation method, which comprises the following steps of: accessing a unified page URL (Uniform Resource Locator) through a browser of terminal equipment, entering a view control component, and determining a page adaptation mode according to service requirements; calling a corresponding adaptation mode function based on the page adaptation mode, and calculating a view component type matched with the terminal equipment; and controlling the page to load the matched view component, and displaying the corresponding page view to the user through the client browser. According to the embodiment of the invention, a uniform access path URL is provided, two adaptation modes of a user agent identifier and a screen size are provided, the adaptation scheme is flexible to select and easy to expand, a uniform control function is provided, adaptation control logic is uniformly arranged at a client, front and rear ends are separated more thoroughly, UI coupling of multi-end, multi-device and multi-size page adaptation is reduced, and the user experience is improved. And the cross-end multiplexing of the logic layer improves the development and maintenance efficiency, and each end is loaded as required, so that the network flow is saved, and the page loading speed is improved.

The invention relates to the technical field of virtual simulation, and mainly relates to a virtual simulation model based on thermal power plant pneumatic ash conveying. A high-precision, high-performance and autonomous learning processing simulation model library is constructed, and the operation state and the optimization process of ash conveying of the thermal power plant are comprehensively simulated, so that powerful support is provided for operation of the intelligent power plant. According to the method, key technologies such as a simulation technology, a mathematical modeling technology, a three-dimensional modeling technology, a physical engine technology, a big data analysis technology and a neural network technology are mainly used. Firstly, according to relevant parameters and requirements, model construction is achieved through simulation software. And real-time data acquisition is realized through a plurality of communication protocols. The model is constructed through simulation software according to relevant parameters and requirements in combination with the actual situation of on-site physical equipment. And finally, powerful support is provided for operation of the intelligent power plant by comprehensively simulating the operation state and the optimization process of ash conveying of the thermal power plant.

The invention discloses an IFC standard-based method for realizing webpage-side bridge construction progress simulation. The method comprises the following steps of: creating a BIM model by using BIM modeling software supporting IFC and exporting the BIM model as an IFC file; making a construction progress plan by using project management software, and associating the plan with a BIM model component to realize information integration; extracting progress information from the integrated IFC file, and converting the progress information into a JSON format suitable for the webpage for storage; reading the JSON file by a webpage front end, and drawing and updating a construction progress Gantt chart in real time; carrying out lightweight processing on the IFC file so as to display a BIM model on a webpage; in combination with a Gantt chart, calculating and displaying components which need to be displayed at present, and realizing visualization of the construction progress; according to the method and the system, the IFC file is subjected to lightweight processing, the progress information is extracted, the Gantt chart is drawn, and linkage display of the BIM model and the Gantt chart is realized, so that the problems in the prior art are solved, and the efficiency and convenience of construction project management are improved.

The invention provides a date range selection method of a mobile terminal and a date range selector, and belongs to the technical field of computers.The method comprises the steps that a current month is selected in response to month selection operation of a user, and a date interface of the current month is loaded; the date interface comprises all dates of the current month; determining a starting date and an ending date in response to a date selection operation of a user on the date interface; and determining a selected date range according to the starting date and the ending date so as to carry out style rendering on dates in the date range. According to the date range selection method of the mobile terminal and the date range selector, a single-month display mode is adopted, the data volume loaded each time is reduced, the page loading speed and the page response speed are improved, the performance and the user experience are improved, the flexibility and the functionality are improved, and the user experience is improved. And the user can select the date more efficiently and conveniently at the mobile terminal.

The invention discloses a game scene management method and system, and the method comprises the steps: 1, carrying out layered loading, and dividing a map into a plurality of small regions; dynamically loading and unloading the area according to the position of the player; 2, activating as required, wherein objects in the scene are kept in a non-activated state when not needed; 3, optimizing the data flow: optimizing the data flow, and ensuring that the loading and unloading sequence of the scene data is reasonable; 4, scene dependency management: managing the dependency relationship between scenes to ensure that the dependent resources are loaded or are loaded when one scene is loaded; 5, resource optimization: optimizing the model, the texture and the animation; step 6, asynchronous loading: loading resources by using an asynchronous or background thread; and 7, illumination and shadow management: using a combination of pre-calculated illumination and real-time illumination to limit the number of dynamic light sources, and arranging the positions of the light sources. According to the invention, the game scene can be better integrally managed.

The invention relates to a page data acquisition method and device, communication equipment, a storage medium and a program product, and the method comprises the steps: receiving a geographic cache pre-request sent by a client, the geographic cache pre-request being used for requesting page cache data of a target page of a target application; in response to the geographic cache pre-request, determining a target cache position matched with the position of the client and target page cache data corresponding to the target cache position from the geographic cache data based on a target query strategy; the target query strategy comprises a target query radius, and the distance between the target cache position and the position of the client is smaller than or equal to the target query radius; the geographical cache data comprises a plurality of cache positions and a plurality of pieces of page cache data corresponding to the plurality of cache positions respectively; the page cache data is real page data of a target page displayed by a client at a corresponding cache position before the geographical cache pre-request; and returning the target page cache data to the client.

The invention discloses a page loading speed comprehensive optimization method and system based on a React framework, and belongs to the technical field of front-end development. Loading is realized by using a React.lazy function and a Suspense component, so that the initial loading time is shortened; server-side rendering is carried out in combination with a Next.js framework, and part of rendering work is moved to a server side, so that the rendering pressure of a client side is reduced; static resources are compressed and merged by means of a Webpack tool, and the HTTP request frequency and the resource volume are reduced; implementing a data prefetching strategy according to a React component life cycle hook mechanism, and obtaining data in advance to reduce user waiting; repeated resource acquisition requests are reduced by utilizing the caching functions of the browser and the server. According to the method, the loading speed of the React page is effectively increased, the user experience is remarkably improved, and an efficient and feasible solution is provided for page performance optimization in front-end development.

The invention provides a browser code block loading method and device, equipment, a medium and a program product, and relates to the technical field of computers.The method comprises the steps that first identification information of a first module in a target system currently accessed by a target browser is obtained, and second identification information corresponding to a second module is determined based on the first identification information, the second module is a next module accessed by the target browser predicted based on the first module; according to the first corresponding relation, determining a first new characteristic list corresponding to the second identification information, and screening out a second new characteristic list which does not support the target browser from the first new characteristic list corresponding to the second identification information; the first corresponding relation is a corresponding relation between identification information of each module in the target system and a first new characteristic list corresponding to each module; and when the second identification information is consistent with the identification information of the next module actually accessed by the target browser, outputting the polyfill code block corresponding to the second new characteristic list to the target browser.

The embodiment of the invention provides a node graph rendering method and related equipment. The node graph rendering method comprises the following steps: monitoring the number of nodes contained in a node graph; if the number of the nodes does not exceed a preset node number threshold value, using a real-time rendering mode to render the node graph; and if the number of the nodes exceeds a preset node number threshold value, rendering the node graph by using a background rendering mode. According to the technical scheme, the number of the nodes in the node graph is monitored, real-time rendering is forbidden when the number of the nodes exceeds the preset node number threshold value, background rendering is used instead, the final layout of all the nodes is calculated through a background program, and after calculation is completed, the layouts of all the nodes are rendered into the page at a time, so that the layout of all the nodes is rendered into the page at a time. According to the method, frequent calculation and rendering are reduced, and the performance bottleneck of real-time rendering is avoided, so that the page loading speed and the user experience are remarkably improved.

The embodiment of the application provides a kind of data processing unit of sparse convolutional neural network, it is related to data processing field.Data processing unit includes weight storage module, activation cache module, weight decoding module, activation decoding module, weight loading queue, activation loading queue and operation and output cache module;Weight storage module and activation cache module are used to temporarily store data, weight decoding module and activation decoding module are used to decode sparse coded data;Weight loading queue and activation loading queue are used to load data into operation and output cache module;Operation and output cache module are used to multiply and accumulate operation to weight and activation data and temporarily store multiply and accumulate operation result in output cache.The embodiment of the application can read multiple activation data and convolution weight in parallel, greatly improve the loading speed;Most of the clock cycle, multiplier can be effectively applied;Convolution result cache addressing logic is simple, avoids addressing congestion problem.

The invention belongs to the technical field of capacitance testing machines, and particularly relates to a multi-track chip type capacitance testing machine. Comprising a shell, a base, a negative pressure assembly, a driving motor, a feeding assembly, a discharging hopper, a testing assembly and an interface operation assembly, the interface operation assembly is arranged on the shell, the negative pressure assembly, the testing assembly and the driving motor are arranged on the base, the feeding assembly is obliquely arranged on the base, and the feeding assembly comprises a material disc and a material bin; the driving motor is in transmission connection with the material disc, the discharging hopper is arranged on the base and used for supplying materials to the material bin, the material bin is arranged on the base and slidably abuts against an ascending section in the rotating direction of the material disc, a plurality of material holes are formed in the material disc, the negative pressure assembly is communicated to the material holes and used for adsorbing capacitors, and the lower side wall of the material bin is tangent to the outer side edges of the material holes. The capacitor rotates along with the material disc and collides with the lower side wall of the material bin so as to be adsorbed in the material hole; the feeding rate of a feeding point position in the feeding device can be increased when a large amount of materials are fed.

The invention provides a web page loading speed optimization method and device, and the method comprises the steps: carrying out the optimization of a network layer, so as to reduce the network delay and server load; static resources are optimized to reduce the resource volume and the loading time; and browser rendering is optimized, so that the page rendering efficiency and the user experience are improved. The web page loading speed optimization method and device have the advantages that through intelligent network acceleration, refined resource management and user perception oriented rendering optimization, the page loading time can be effectively shortened, and the user access speed is increased; and the access frequency and the update frequency of the resources are intelligently predicted by using a machine learning algorithm, and the cache strategy is dynamically adjusted, so that the cache hit rate can be effectively improved, the network request times are reduced, and the page loading speed is further improved.