231 results about "Data binding" patented technology

The invention provides a 10kV cable accessory manufacturing quality inspection report generation method and system, and relates to the technical field of power equipment quality detection and reliability evidence storage. According to the method, original detection data is acquired and structured in multiple dimensions, and data sources, operators and equipment identifiers are bound, so that context integrity and traceability are realized; initial and enhanced data fingerprints are generated through block classification, standardization and Hash operation, and a dynamic fingerprint chain is constructed by using a chain structure, so that whole-course data has content and process dual integrity identifiers; a multi-level verification sequence is embedded in each stage of report generation, finally, a block chain is utilized to record a data packet abstract, an anchor point on the chain is bound with report metadata, a transaction ID is embedded into a report document, and a checking two-dimensional code is generated. According to the method, the non-tampering performance and the verifiability of the content and the generation process of the detection report and the traceability of the whole circulation process are improved.

The invention discloses a multi-level front-end page layout and state linkage management method and a multi-level front-end page layout and state linkage management system, which belong to the technical field of front-end development, and are characterized in that page layout is configured in a declarative manner through a JSON (JavaScript Object Notation) format, and component states are automatically managed by adopting a multi-level linkage mechanism to realize front-end The JSON configuration comprises an id field definition business logic module identifier and a struct field definition layout rule; dynamic rendering and state linkage are realized by separating the business logic and the layout structure of the component and combining a hierarchical data binding mechanism; and the child hierarchy automatically triggers state emptying or data loading operation by monitoring data change of the parent hierarchy. According to the method, the problems of high page and logic coupling degree, complex state management and poor expansibility in the prior art can be solved, clear decoupling and automatic linkage are realized, and the method is easy to expand.

The invention provides a component freezing recovery method based on a page life cycle interface. In the frame compiling stage, page life cycle event monitoring logic is injected into the component, a freezing and recovering event monitor is automatically registered, a large-data-volume rendering component tree is recognized, a freezing identifier is added, and butt joint of the Vue component tree and a browser freezing event is achieved. When a freezing event is triggered, dependence of a responsive memory for releasing a virtual rolling component in a background label page is ensured by pausing virtual rolling rendering, generating a component state snapshot, creating a rolling position anchor point record, removing non-visual area nodes, retaining placeholder elements and releasing responsive data binding. And after a recovery event is triggered, positioning a rolling position based on anchor point parameters, preferentially reconstructing a visual area component in stages, and recovering the responsive system, so that rolling position zero offset and state zero loss are realized when the page is recovered, and the reconstruction process has no perception delay. According to the method, manual intervention is not needed, and front-end development efficiency and performance optimization are both considered.

An embodiment method of generating a local map for travel control of a mobility includes loading the local map from an entire map stored in a memory, wherein the local map includes at least a portion of the entire map, acquiring a two-dimensional (2D) light detection and ranging (LiDAR) point data from a LiDAR mounted on the mobility, acquiring a three-dimensional (3D) feature point data by receiving a front image of the mobility from a camera mounted on the mobility, reducing a dimension of the 3D feature point data to a 2D feature point data, binding the 2D feature point data to the 2D LiDAR point data, and publishing the 2D feature point data bound to the 2D LiDAR point data on the local map.

The invention provides an ultrasonic radar debugging data interaction method and system, and the method comprises the steps: carrying out the analysis of an obtained structured configuration file, and obtaining a parameter configuration set which comprises radar detection parameters and communication protocol parameters; generating an interaction control on the interaction panel based on the parameter configuration set, and establishing a bidirectional data binding channel between the interaction control and the parameter configuration set; in response to a parameter change operation of a user, extracting a change field of the parameter configuration set, and generating a difference configuration instruction based on the change field; driving an ultrasonic radar test based on the operation parameters of the dynamic parameter storage area, and collecting original signal data and processing result data to obtain a test data set; and performing association analysis on the difference configuration instruction and the test data set to generate test result data. By adopting the method, the efficiency and accuracy of functional verification of the radar sensor can be improved.

The invention discloses a system for generating structured data based on natural language processing to drive UI dynamic rendering. The system comprises a voice acquisition and recognition module, a natural language processing module, a UI dynamic rendering driving module, a control logic automatic binding module and a rendering execution module. User voice or text instructions are automatically analyzed into structured JSON data through natural language processing, Jetpack Compose is driven to dynamically generate UI components, service logic is bound, zero-code interface construction is achieved, in addition, the system is combined with a local AI model, a factory mode and a reflection mechanism, multi-end adaptation, bidirectional data binding and event automatic processing are supported, and the system is suitable for large-scale popularization and application. According to the method, the development threshold is remarkably reduced, the iteration efficiency is improved, the method is particularly suitable for scenes such as smart homes and vehicle-mounted central control which need to quickly customize UIs, and meanwhile offline availability and cross-device consistency are guaranteed.

The invention discloses a water conservancy project construction progress prediction and intelligent management method, and relates to the technical field of water conservancy projects, and the method comprises the following steps: constructing a unique identification code system of construction elements, collecting multi-source data bound with a unique identification code, carrying out the correlation fusion of the multi-source data based on a preset dynamic correlation rule base, and carrying out the prediction of the construction progress of a water conservancy project. Generating a fusion data set and mapping the fusion data set to a corresponding component of the BIM model in real time, visually displaying fusion data in the BIM model, comparing the fusion data set with a preset scene feature library, identifying a complex scene and marking a core influence factor, and matching a collaborative plan from a mapping library of the scene and the plan, and generating a regulation and control instruction set, simulating an execution effect in the BIM model, obtaining execution data according to the collaborative plan, adjusting the regulation and control instruction set, obtaining an execution result, and updating a fusion data set and corresponding data in the BIM model, so that closed-loop management, accurate data association and dynamic management are realized, and the construction progress management efficiency is improved.

The invention belongs to the field of engineering management, and particularly relates to an electric power project full life cycle management method and system based on digital twinning, so as to solve the technical problems that digital twinning and a construction plan are disjointed, and a risk assessment and permanent data capitalization mechanism driven by real-time data is lacked. Obtaining a construction plan of the task unit and a digital twinborn model; s2, establishing an association relationship between a task unit and a component; s3, calculating a vector deviation between a field entity state and a digital twin model target state; calculating a risk coefficient of the component; forming a dynamic construction plan; and S4, performing structured packaging and Hash linking on the vector deviation, the risk coefficient, the quality acceptance result and the resource consumption data, and generating construction process data bound with the component. The defect of disjunction of plans and models in traditional management is overcome, possible space and resource conflicts in the future can be pre-judged and avoided, and the integrity and authenticity of process data are ensured.

The invention discloses an intelligent operation and maintenance method and system for a rail transit communication machine room based on digital twinning, and belongs to the technical field of digital twinning and three-dimensional visualization of a rail transit system. An intelligent operation and maintenance server side in the system comprises a data acquisition module, a three-dimensional modeling module, a digital twinning engine module and a database module; the intelligent operation and maintenance client comprises a dynamic loading scheduling module, a real-time data binding module and a visual interaction module; according to the system, a lightweight Web3D engine is adopted to dynamically load and render a three-dimensional model of a communication machine room as required, and real-time sensing, data synchronization, fault warning and remote operation and maintenance of the operation state of communication equipment are realized in combination with a digital twinning technology. According to the method, the functions of hierarchical loading of a multi-level model, alarm driving state rendering, operation and maintenance closed-loop management and the like can be realized. Compared with the prior art, the method has the advantages of light model weight, quick response, easiness in deployment, high expandability and the like, and is widely applicable to communication infrastructure operation and maintenance scenes in the field of rail transit.

The invention relates to the cross technical field of artificial intelligence and software development, in particular to a UI design draft intelligent transcoding method and system fused with a multi-modal large model, and the method comprises the following steps: carrying out the cross-modal joint analysis of a design draft through a multi-modal analysis engine, and extracting visual features, semantic association and interaction logic; generating a platform-independent intermediate representation containing style description, layout constraint and data binding; generating a multi-platform response type code based on a dynamic layout adapter, and solving a layout constraint equation by adopting an improved CasSowary algorithm; establishing a bidirectional synchronization mechanism of a design draft and codes, and realizing incremental updating through a SimHash algorithm; the method has the beneficial effects that a visual-semantic-code cross-modal cognitive link is creatively constructed, and accurate mapping of pixel-level style reduction and business logic is realized aiming at complex scenes such as multilayer nested components and dynamic interaction logic which are difficult to process by a traditional tool.

The invention discloses an electric power emerging business risk keyword identification and early warning method, system and device based on an NLP technology and a medium, and belongs to the technical field of electric power risk, and the method comprises the steps: obtaining multi-source customer service text data, and extracting risk keywords and corresponding voice spectrum data from the multi-source customer service text data; inputting the risk keyword into a power service knowledge graph, and generating a first risk research and judgment result through knowledge reasoning, the first risk research and judgment result comprising a risk traceability path; performing acoustic feature analysis on the speech spectrum data, extracting acoustic feature parameters, calculating an emotional excitation index, and generating a second risk identification result; performing weighted fusion on the first risk research and judgment result and the second risk identification result to generate a comprehensive risk score; and when the comprehensive risk score reaches a preset threshold value, generating a structured early warning work order, and carrying out data binding on the structured early warning work order, the original customer service work order and the call record. According to the invention, the efficiency of risk management and control is improved.

The invention discloses a digital authentication method and system based on industrial production data, and the method comprises the steps: obtaining original industrial production data, generating a unique fingerprint of equipment, binding the unique fingerprint with the original data, and generating an equipment-data binding hash value through employing a national cipher SM3 algorithm; the alliance block chain node dynamically selects a consensus protocol according to the timeliness of the original industrial production data, constructs a Merkle tree structure and stores a root hash value; verifying whether the device-data binding hash value is included by the Merkle tree corresponding to the specific root hash value through a zero-knowledge proof protocol; in the authentication stage, the verified hash value and index information are called, and encryption quality parameters stored under the chain are positioned and decrypted; and generating a three-dimensional credible identifier and a dynamic authentication description text based on the original quality parameter, the hash value, the product identifier information and the block chain transaction information, and performing signature verification through a quantum security electronic signature. According to the invention, the security and reliability of industrial data authentication are improved, and data tampering and counterfeiting are effectively prevented.

The embodiment of the invention discloses a numerical control machine tool adjusting method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: collecting initial machine tool data of a numerical control machine tool through an edge gateway; workpieces produced by the numerical control machine tool are detected, and workpiece detection data are obtained; binding the initial machine tool data with the workpiece detection data to obtain workpiece production quality data; based on the standard workpiece data information, performing production quality evaluation on the workpiece production quality data to obtain a dimensional deviation ratio and a cutting stability index; in response to the situation that the size deviation ratio and / or the cutting stability index do not reach the preset standard value, correspondingly machined appliance parameter data are searched in a preset technology knowledge base; converting the appliance parameter data into a machine tool execution instruction; and writing into a control system of the numerical control machine tool to process the workpiece. According to the implementation mode, the numerical control machine tool can adjust the parameters in real time according to the quality of the workpiece, and the machining quality and the yield of the workpiece are improved.

The invention relates to the technical field of digital asset management analysis, in particular to a digital asset intelligent analysis platform based on a block chain intelligent contract technology. The computing power resource state coupling module is used for obtaining the saturation degree of computing resources by capturing information of a task control block and combining the load rate of a processor, and embedding and collecting mapping data streams to generate a management and control data packet; the abnormal data screening module is used for executing local serial processing when the saturation degree of the computing resources is lower than an I / O throughput threshold value, and otherwise, hardware acceleration is carried out, and a to-be-verified digital sequence is constructed; generating an abrupt change collection feature vector based on the to-be-verified digital sequence; and the component resume anchoring module is used for carrying out data binding operation on the abrupt change collection feature vector, generating a single-piece digital traceability certificate, carrying out aggregation compression, obtaining a batch verification root value and outputting a quality signal digital right. According to the method, a load awareness and distributed storage partitioning strategy is constructed through indexes, and the I / O frequency and transmission bandwidth occupation of whole library retrieval are reduced.

The invention discloses an intelligent analysis system for the running state of a 3C vehicle-mounted contact network, and belongs to the technical field of crossing of intelligent operation and maintenance of rail transit and industrial artificial intelligence. And the system associates the multi-source heterogeneous observation data to a specific equipment unit through an equipment centralized data binding module. And the multi-modal feature extraction and state management unit processes the data and maintains a multi-dimensional state vector of the equipment by using the Kalman filtering updating unit. And the physical-data hybrid decision maker fuses the data driving rule and the simplified physical model to output a diagnosis result. The topology analyzer performs global verification based on a mechanical transfer rule. The system further comprises a long-term health state prediction and feedback module, early failure risks are predicted through a hidden Markov model, Kalman filtering process noise is dynamically fed back and adjusted, and cooperation of long-term prediction and short-term estimation is achieved. According to the method, the technical problems of multi-source data splitting, lack of physical basis in diagnosis and incapability of predictive maintenance are solved.

The invention provides a virtual equipment and variable data processing method for power monitoring, which realizes intelligent definition, calculation, alarm and visual data binding technology of virtual equipment and variables in a power monitoring scene by integrating MQTT, a memory database, a time sequence database and a relational database and combining a regular expression analyzer collaborative analysis mechanism. The system supports various data such as current real-time values, equipment attributes, accumulated value differences and historical data to form an expression, the real-time data is stored in a Redis database and the historical data is stored in a TD engine database by adopting an atomic storage strategy taking station + deviceid + measure as key values, and efficient query and atomic storage combination based on the Redis and the TD engine are realized through a unified API interface, so that the data display speed is greatly increased, and the data display efficiency is improved. The innovatively designed zero-code binding mechanism is based on a front-end data driving framework, and automatic binding of real-time acquisition variables, virtual variables and power monitoring display components can be completed without additionally developing an API (Application Program Interface).

The invention discloses a modularized multi-channel dynamic layout method for a three-dimensional scene of a data center machine room, which comprises the following steps of: firstly, defining a topological relation data structure of a directed acyclic graph model based on a machine room design drawing, and accurately describing spatial layout characteristics of multiple channels, bifurcated channels and asymmetric channels through weight parameters; equipment such as a cabinet, an air conditioner and a power distribution module are modularized into Unity preforms, and a unified data structure including equipment types, position coordinates and data interface mapping is established; a data binding component is mounted on each prefabricated body, so that digital twin linkage with a rear-end monitoring system is realized, and real-time state visualization is supported; after layout is completed, structured JSON data is generated and uploaded to a server, and a user can load a historical version in a one-key mode and rapidly reproduce a scene. According to the method, the layout generation efficiency is improved by more than 50%, dynamic generation of a complex topological structure during operation is supported, a complete digital twin closed loop from geometric layout to data linkage is realized, and the planning and operation and maintenance efficiency of a data center is remarkably improved.

The invention discloses an Excel file exporting method and system based on Java language, and relates to the technical field of computer software development, and the implementation of the method comprises the following steps: receiving an exporting request: the system receives the exporting request of a user through a Web interface or a graphical interface; analyzing template configuration: loading and analyzing an Excel export template specified by a user by a system; data binding and style rendering: the system binds a data set obtained from a database, a cache or other data sources with a template, and performs style rendering according to template configuration; an Excel file is generated, specifically, according to the export format selected by the user, the system calls an Apache POI library to create a Workbook object, and rendered data is written into a worksheet; and returning or storing the file. According to the method, the format and the content of the Excel file can be exported in a self-defined mode according to the configuration information of the user, the development efficiency is improved, and the expandability of the system is enhanced.

The invention provides a medical data sharing interface based on a standardized API and a low-code construction method. The method comprises the steps that a set of standardized medical core data models is predefined; a unified data sharing service API layer is constructed, an adapter used for being in butt joint with a heterogeneous medical data source and converting the heterogeneous medical data source into data matched with a predefined model format is configured, and an API interface is generated based on the predefined model; a component library is preset through a visual interface configuration platform, each component in the component library is bound with a field of a predefined model, the components are arranged and / or combined in a dragging mode, and a data binding relation between the components and an API interface is configured; and analyzing and generating a structured interface description file according to the information of visual interface construction and configuration, dynamically loading the interface description file through an engine when a client runs, calling an API (Application Program Interface), and rendering a final user interface. According to the scheme, the development cycle can be shortened, the ability threshold of developers can be reduced, and good expandability is achieved.

The invention discloses a thermal infrared imager intelligent temperature measurement platform management method and system. The method comprises the following steps: S1, information acquisition and multi-modal data binding; s2, encoding and encrypting data; s3, wireless transmission and decryption are carried out; s4, the server side performs intelligent processing; s5, result distribution and storage; according to the invention, through deep fusion of multi-modal data binding and environment interference parameters, the motion detection and temperature pre-judgment process can dynamically adapt to interference changes in a complex scene; a multi-modal fusion dynamic threshold algorithm, a space-time attention enhancement model and a layered time sequence temperature prediction model are integrated, the full-dimension requirement from real-time monitoring to long-term trend analysis is covered, and the intelligent level and scene adaptability of the system are remarkably improved; and a whole-process system architecture of sensing, transmission, processing, storage and display is constructed, so that the platform has high efficiency of data processing and convenience in use.

The invention discloses a cross-platform MR scene collaborative editing method and system. The method comprises the steps that an access local area network generates and broadcasts a session ID; the head-mounted display end or the non-head-mounted display end scans a local network to discover and join the session; the head-mounted display end obtains space information and scene data bound from the platform and serializes the space information and the scene data into a unified standard format different from the platform; analyzing the data in the standard format to perform virtual scene reconstruction and spatial alignment; and creating a main state snapshot list, and performing maintenance synchronization on the edited state change by the host end or the server. The method has the advantages that platform barriers of various terminals such as a VR head-mounted display, a mobile tablet computer and a PC are broken through, and synchronous presentation and editing of the same mixed reality scene on heterogeneous equipment are achieved;

The invention discloses a real-time network security threat early warning analysis method, which comprises the following steps of: constructing a multi-dimensional value radar index system; establishing a multi-dimensional evaluation framework, and quantifying bridge and tunnel values; deploying a multi-source data acquisition network: constructing an integrated data acquisition system, and performing real-time mapping between a physical space and a digital space; and adaptive fusion analysis: constructing a quantum state superposition classifier, representing bridge and tunnel characteristics by using quantum bits, constructing a real-time digital twin mirror image engine, carrying out dynamic evaluation algorithm loading through linkage of a data acquisition network, a mirror image body and an algorithm pool, and introducing an ecological correction coefficient and a hidden value correction coefficient to carry out negative adjustment on an economic contribution value. Dynamically distributing an index weight by combining an entropy weight method and a Delphi method with a particle swarm optimization algorithm, and outputting an economic equivalent value in combination with the index weight; building a four-dimensional visual decision platform; and displaying the interactive radar map based on WebGL three-dimensional rendering and data binding technology.

Provided in the present invention is a multi-level equipment cross-platform fault knowledge recommendation and adaptive transfer method, comprising: constructing an association relationship between product structure tree nodes and a fault knowledge base; calculating the similarity between first-level nodes of a start-domain product structure tree and a target-domain product structure tree, so as to obtain a similar first-level node pair set; calculating the similarity between child node sets of a similar parent node pair, and outputting a similar second-level node pair set; repeating the previous steps on a next-level node until a terminal node is reached, and outputting a final similar node pair set; calculating the fault case knowledge similarity between every two nodes in the similar node pair set, and excluding, from the similar node pair set, node pairs having relatively low similarities; and selecting a fault knowledge type that needs to be transferred, acquiring and copying, from node pairs having relatively high similarities, fault knowledge data of a start domain, modifying into a target domain a node to which related data is bound, and writing the related data into a database. The present invention can solve the problem of rapid transfer of fault knowledge between different items in avionics equipment.

A method for rendering a webpage. The method includes obtaining a template file according to a page identifier of a page to be accessed of page access request by invoking a template engine developed based on a compiled language; generating an abstract syntax tree by parsing the template file through the template engine, and performing a static verification and an optimization on the logical relationship information of the template file by the template engine based on the abstract syntax tree, and obtaining optimized rendering codes by binding business data obtained from a data source to variable in the template file according to the correspondence relationship between the variable and the business data; and generating final page codes based on the optimized rendering codes through the template engine and removing redundant information from the final page codes and sending the final page codes to the client device for rendering and displaying.

The invention discloses a fence piece production line monitoring device and monitoring system, and relates to the technical field of production line monitoring. Comprising a data acquisition device, an edge computing device, a feedback control device, a whole-process quality tracing module and a cloud platform data analysis center. The data acquisition device acquires multi-station multi-mode real-time data, the edge computing device performs data fusion, preprocessing and preliminary abnormality diagnosis, the cloud platform develops deep analysis and model learning, the feedback control device generates an instruction to adjust production line parameters, and the whole-process quality tracing module realizes production whole-link data binding tracing. According to the method, accurate diagnosis of production abnormity, predictive maintenance of equipment, dynamic optimization of the process and closed-loop control of quality are realized, the production efficiency and the product quality are greatly improved, and the failure shutdown loss is reduced.

The invention provides a high-precision map regionalization updating method and system based on space-time relevance, and relates to the technical field of high-precision maps, and the method comprises the steps: obtaining live-action image data and associated data of a shooting terminal, and binding the live-action image data and the associated data to form an image data unit with a space-time position mark; comparing the data with a pre-stored live-action three-dimensional map, determining satellite positioning information correction coordinates, identifying geographic element features and distributing the geographic element features to corresponding space-time grid units according to the correction coordinates; performing spatial clustering analysis according to space-time grid unit distribution, determining a key area needing to be backtracked, obtaining image data units and geographic element features at different historical times through time retrieval and spatial indexing, and reconstructing a time sequence change state; according to the difference between the time sequence change state and the pre-stored map, regionalized attribute updating is carried out on the live-action three-dimensional map, regionalized attribute updating of the high-precision map can be achieved, and the accuracy and pertinence of map updating are improved.

The invention discloses a commercial vehicle accompanying production line tightening data binding method and system, relates to the technical field of commercial vehicle manufacturing, and is applied to an environment comprising a vehicle identification device, a tightening tool, a manual work reporting button, a data binding system, a quality andong system and an AGV control system. The method comprises the following steps: acquiring information when a vehicle enters a station; the system calls a matched tightening program and switches to a tool according to the tightening program; the personnel tightens according to a program, and a tool system synchronously collects and generates vehicle tightening data; after the data is complete, the staff reports the work; and the quality andong system automatically checks the tightening result based on the work reporting signal, judges the number of qualified point locations and outputs the result. If the AGV is qualified, the system binds and stores the data to a database, and controls the AGV to advance after success; and if not, triggering an alarm and controlling the AGV to stop. According to the method, the problem of data cross-station wrong binding is solved, and binding accuracy and quality controllability are ensured.

The invention discloses a cross-platform code generation method and device, equipment and a medium, which are used for improving the multi-end application development efficiency based on a unit-app framework, realizing automatic generation from visual design to multi-end source codes, and solving the problem that an existing low-code tool is insufficient in capacity in the aspects of complex business logic, multi-platform adaptation and engineering output. The method comprises the steps that interface construction, logic configuration and data binding operation of a user are received through a visual designer, and structured JSON metadata describing a target application structure and behavior is generated; analyzing the structured JSON metadata through a cross-platform component template engine, and combining a platform rule base, a business logic template base and a preset code optimization strategy to generate a source code according with a unii-app multi-terminal specification; and according to the source code, outputting a complete unit-app project directory comprising a Vue component, a state management module, a platform configuration file and a construction script.

The embodiment of the invention provides a page generation method and electronic equipment, which are used for solving the problem that long-term maintenance and operation of a project are not facilitated as page management is disordered and the risk of misoperation exists during page generation in related technologies. As the target template is displayed when the electronic equipment receives the template selection request, a developer does not need to drag and drop the component in a drag and drop mode when generating the page, the process can reduce the problem of page inaccuracy caused by misoperation when dragging and dropping the component, page management can be accurately carried out, and after the target template is displayed, the user experience is improved. A developer can perform data binding on any component in the target template, so that a corresponding page is accurately and effectively generated, acquisition information of resource data carried in a binding request and a sub-code of a trigger action are added to a target template code corresponding to the target template, and the added target code is stored, so that the data binding efficiency is improved. And the page can be quickly established subsequently based on the target code, so that the project management efficiency is improved.

The application provides an intelligent parameterized UI generation system and method suitable for professional analysis software, receives UI requirements in the form of natural language or pictures through a user interaction layer, analyzes the requirements by an AI intelligent processing layer, and automatically generates an initial configuration file containing components, styles and logic in combination with a domain knowledge base and a reference style. A user can adjust and analyze the configuration file through a configuration editing and analyzing layer. A parameterized UI generation layer dynamically constructs UI components with tree hierarchical relationships based on the analyzed structured data, automatically configures interaction logic, data binding and professional field processing, realizes two-way synchronization of GUI and backend data, and finally outputs an interactive interface by a UI rendering layer. The application changes highly customized and fragmented UI development into an automated and standardized generation process, greatly improves development efficiency, guarantees the consistency of interface style and operation logic, significantly reduces maintenance cost, and enhances the flexibility of software function expansion.