74 results about "Presentation layer" patented technology

The invention belongs to the technical field of railway inspection, and particularly relates to a space-air-ground integrated railway power transformation and distribution intelligent inspection method and system which comprises a sensing layer, a platform layer, a data and intelligent center, an application layer and a user and presentation layer. The sensing layer is composed of an aerial inspection layer, a ground inspection layer and a fixed monitoring layer; the platform layer is based on a cloud computing center and edge computing node collaborative architecture, combines data and an intelligent center, integrates multi-source heterogeneous data through a big data platform, carries an AI algorithm engine to realize automatic identification of equipment defects, analyzes images, synchronously predicts the images, and realizes automatic identification of the equipment defects. And the application layer is combined to complete the functions of automatic generation of an inspection report, automatic distribution of a maintenance work order, equipment health state evaluation and the like. According to the method, functions of railway power place inspection, power supply line inspection, power supply and distribution facility operation and maintenance emergency and the like can be realized, deep fusion analysis of multi-dimensional data is realized, and meanwhile, the problems of insufficient training samples, sparse defect types and the like of an existing AI model are solved.

The invention discloses a federal large model knowledge collaborative training method supporting multi-modal heterogeneous clients, which comprises the following steps: each client receives a model initialization parameter issued by a central server, and applies adaptive differential privacy noise to independently train a heterogeneous lightweight model based on local private data; updating the model to which the noise is applied and uploading a modal identifier of the model to a central server side; after model updating and modal identification of each client are received, based on a modal perception weighted consensus fusion mechanism, knowledge of each client is fused to update a global large model; and the central server side issues the updated presentation layer parameters of the global large model to the client side for initialization of the next round of local training. According to the method, on the premise that a public data set or specific task setting is not needed, comprehensive compatibility of data isomerism, client dynamic participation, model diversity and privacy protection requirements is achieved, and the adaptability, stability and knowledge utilization efficiency of large model federation training are remarkably improved.

The invention discloses a multi-strategy fusion file data desensitization management and control system, and relates to the technical field of information security and data processing, a system architecture adopts a hierarchical design and comprises a presentation layer, a business logic layer and a data access layer, the interface design of the presentation layer is simple, and a user can easily operate the presentation layer; the business logic layer is responsible for processing various rules and ensuring that data can be correctly processed; the data access layer is responsible for interacting with a database to realize secure storage and quick reading of data, and the architecture design ensures the expandability and maintainability of the data desensitization file security management system; system functions are realized in two ways: a common user can perform desensitization operation on sensitive data and download a file; an administrator can modify configuration and manage the desensitization rule besides the functions of a common user; the system can effectively protect sensitive data and reduce the risk of data leakage, and has high practical value.

The invention belongs to the field of product top-layer system design and modeling, and discloses an interactive feedback-oriented product top-layer system design method, which comprises the following steps of: constructing a multi-layer model based on a demand R, a function F, a behavior B and a structure S, establishing a knowledge graph for representing a semantic relationship between layers and between nodes on the same layer by using weighted directed edges, forming a layer-by-layer mapping matrix by using edge weights, and constructing a layer-by-layer mapping model; realizing weight decomposition from the demand to the structural unit; a constraint hypergraph is constructed on the node set, and structural unit combination constraints are depicted through mutual exclusion, dependency, collaboration and conflict hyperedges; physical parameters of the structural units are normalized into performance vectors, weighted aggregation is carried out according to weights, legality judgment and performance correction are carried out in combination with a hypergraph, a system-level performance evaluation result is obtained, candidate configuration schemes are compared and optimized according to the result, and a product configuration scheme meeting requirements and constraint conditions is formed. The method provides a model basis for subsequent product structure configuration optimization based on interactive feedback.

The invention discloses a large model lightweight reasoning method and device, computer equipment and a storage medium. The method comprises the steps that a target large model is unfolded into a computational graph, and a semantic path dependency graph is constructed based on intermediate representation; defining a semantic contribution degree index, and calculating the semantic influence degree of each node in the semantic path dependency graph on final output; screening a low-influence path according to a graph traversal algorithm, and performing path pruning in combination with structure limitation to obtain a pruned model; and carrying out structure completion on the pruned model, and carrying out semantic alignment distillation by taking the original model as a teacher model to obtain a lightweight model. The embodiment of the invention relates to the field of artificial intelligence model reasoning optimization, and solves the problems that a pruning method in the prior art depends on structural information, lacks semantic perception and is easy to lose performance. The semantic graph is constructed in the middle presentation layer, task related paths are identified, redundant branches are cut off, the reasoning process is remarkably accelerated on the premise that the precision of the model is kept, and the deployment efficiency is improved.

The invention discloses an intelligent data retrieval and presentation system and method fusing a large model and a process engine. The system comprises a large model layer, a process engine layer, a data interface layer and a presentation layer. The large model layer is used for carrying out secondary semantic analysis and associated word expansion according to a business data query demand to generate a structured retrieval instruction; the analysis module is also used for performing data analysis through the intelligent attribution model to generate an analysis result; the process engine layer is used for generating a matched business process template, cleaning and integrating original data, and sending data display configuration to the presentation layer; the data interface layer is used for acquiring original business data and feeding back to the process engine layer; and the presentation layer is used for performing visual display according to the data analysis result and providing a questioning interface to obtain a new demand of the user. According to the method and the system, accurate processing and efficient presentation of the business data in the ERP system are realized, and the problems of low data retrieval and analysis efficiency and insufficient intelligence of the traditional ERP system are solved.

The invention relates to the technical field of three-dimensional reconstruction, in particular to a rapid three-dimensional reconstruction system based on deep learning, which comprises a data layer module used for inputting multi-view image data, configuring image sizes, calculating equipment parameters and performing read-write and management on output point clouds, grids and depth maps; the algorithm layer module is used for performing calculation based on a three-dimensional reconstruction algorithm, including depth estimation, point cloud generation, global alignment and grid reconstruction; the business logic layer module is used for coordinating all the modules to execute full-process automatic reconstruction and constructing a full process from multi-view image data input to model output; the presentation layer module is used for providing an interactive interface for the user; the communication layer module is in communication connection with the data layer module, the algorithm layer module, the business logic layer module and the presentation layer module and used for completing data transmission and state synchronization among the modules, and the problems that in the prior art, equipment cost is high, real-time performance is poor, efficiency is low and precision is insufficient are solved.

A wine-food pairing system utilizes a computing device in electronic communication with a server having a presentation layer and a data layer. The presentation layer of the server is a wine-food pairing website and / or web application that utilizes a method of matching wine and food based on molecular gastronomy. The resulting system enables the convenient, cost-effective, and efficient matching of wine and food by average consumers and sophisticated businesses alike.

The invention is a system used for instantly transferring physical technical drawings or notes to digital media using specially patterned paper and smart pen; to enable real-time transfer of physical technical drawings or handwritten notes taken using specially patterned paper and smart pen to digital media, automatic processing, semantic enrichment, and presentation to the user as functional content through artificial intelligence integration, specially patterned paper whose surface is covered with a special optical pattern to enable writing or drawing on it and detection by the smart pen, smart pen equipped with sensors or optical reader hardware that converts the position information of writings or drawings made on said paper into X-Y coordinate data and transmits this data via wireless communication protocol, electronic device that receives coordinate data from the smart pen and converts, stores, and processes it into digital format; multi-layered software architecture consisting of mobile or desktop application, data layer, business logic layer, common layer, presentation layer, and platform layer running on said electronic device, artificial intelligence processing layer in communication with the electronic device, processing coordinate data with large language models (LLM) and natural language processing (NLP) techniques; performing semantic search, summarization, translation, contextual expansion, task detection, and chat features, and characterized by including an interface module that presents processed data to the user through mobile or web-based user interface.

The invention provides an electrical structure generation and cross-platform interaction system independent of a CAD platform, the system adopts a three-layer decoupling architecture of a core generation layer, a general intermediate data layer and an adapter presentation layer, the core generation layer independently executes electrical service logic calculation, the general intermediate data layer realizes data standardization packaging and transmission, and the adapter presentation layer is used for realizing data transmission. And the adapter presentation layer realizes bidirectional conversion between standardized data and different CAD platform graphic instructions through a multi-platform driving module. According to the method, complete decoupling of the electrical service logic and the CAD platform can be realized, the cross-platform compatibility, development and maintenance efficiency and expansibility of a design tool are improved, the replacement cost of an enterprise platform is reduced, and the method is suitable for cross-platform design scenes of various electrical structures.

Systems and methods provide for integrating legacy systems into a unified platform. Embodiments include a system configured to ingest, normalize, and store data from multiple sources using a data layer, analyze and transform data using AI algorithms by a processing layer, and provide a dynamic user interface for data visualization and interaction by a presentation layer. Methods are provided for receiving, by a computing device, data such as email orders, vendor catalogs, CRM data, etc., extracting data from the content, processing the data using natural language processing techniques, analyzing the data using machine learning models, mapping the data to a unified platform's schema, managing the integration workflow using a workflow orchestration engine, providing real-time data insights, and resolving data errors or anomalies using an exception management system.

The application relates to an FPGA design code credible generation and verification method and system based on a large language model, wherein the system comprises: a user interaction layer used for receiving input information of a user and converting the input information into standardized requirement information; an understanding and generation layer used for performing semantic analysis on the requirement information and generating a preliminary design result, the preliminary design result comprising an RTL code and a test framework; a verification analysis layer used for performing multi-stage engineering verification on the generated RTL code; a structured representation layer used for constructing a unified design intermediate representation in a system to make each stage take the same structural semantics as a benchmark; and a core control layer used for scheduling the running processes of the user interaction layer, the understanding and generation layer, the verification analysis layer and the structured representation layer. The application can improve design efficiency, reliability and engineering controllability.

The invention belongs to the technical field of wireless system application, and particularly relates to a radio frequency-based wireless signal test platform system and a building method thereof, and the system comprises an Android master control terminal, a radio frequency communication module and an environment sensing unit; the android master control terminal carries an industrial-grade android equipment operating system, an integrated presentation layer, a business logic layer and a data access layer; the radio frequency communication module is connected with the Android master control terminal through a serial interface and is used for dynamically configuring frequency bands, spreading factors and bandwidth parameters; an environment database is established by setting an Android master control terminal, a radio frequency communication module and an environment sensing unit, adaptive communication capability testing of various radio frequency modules is realized, wireless signal data can be visually tested anytime and anywhere by using an established testing platform and environment data, and dependence on a traditional darkroom and a frequency spectrograph is avoided; and self-adaptive setting of frequency bands, spreading factors and bandwidths of the module in different environments is realized through an existing environment database.

The application provides a medical clinical data management system based on the SDTM standard, and relates to the technical field of medical clinical data management.The system comprises a client module located at a presentation layer, a standard engine module located at a business logic layer, and a database located at a data layer.The client module serves as an operation interface for a user and is used to receive a management operation of the user.The standard engine module responds to the management operation and performs a management operation on medical clinical data according to a standard data model.The standard data model is constructed based on the SDTM standard and comprises an organization work area, a project data set, a business table, a data row, and a table header field.The database comprises a system table and a project data set composed of one or more business tables.The system table is used to store metadata and global configuration information, and the business table is used to store medical clinical data under a corresponding project.

The invention relates to the technical field of software development. The invention discloses a modularized code-free platform, which adopts a five-layer architecture and comprises an application presentation layer, a test report presentation layer and a test report presentation layer, the configuration engine layer is used for analyzing the structured configuration file and generating an executable process model; the test execution layer is used for scheduling and executing a test flow defined by the process model; the hardware abstraction layer is used for providing a unified instrument operation interface and managing a mapping relation between a logic signal and physical hardware; and the equipment driving layer is used for realizing communication with specific instrument equipment. According to the method, a configuration-as-a-service mode is adopted, so that business personnel can quickly construct an application on the premise of not writing codes, the technical threshold is remarkably reduced, and the response speed is increased; business personnel only need to edit Excel to complete configuration of a complex instrument control process, and codes do not need to be written.

The application discloses a kind of integrated modeling methods comprising mechanical simulation and virtual maintenance attributes, comprising the following processes: respectively establishing geometric feature model, interactive feature model and state feature model, form integrated equipment model comprising mechanical simulation and virtual maintenance attributes;Integrated equipment model is divided into state execution layer, motion logic layer, multi-dimensional presentation layer;State execution layer is used to execute control command, external control command data is first transmitted to state execution layer, with the output of state execution layer as the input of motion logic layer, the result is obtained by processing motion logic layer, then the result is transmitted to multi-dimensional presentation layer, simulation result is obtained by processing by multi-dimensional presentation layer, and is presented by multi-dimensional way.The application can not only realize multi-dimensional presentation equipment / device geometric characteristics, but also can express motion logic and execution state in equipment / device simulation process completely, and can be realistically simulated mechanically and virtually maintained.

The invention discloses an electrostatic dust collector ash clogging early warning system, which comprises a data acquisition layer capable of acquiring multi-source data comprehensively reflecting the running state of an electrostatic dust collector; the edge calculation layer is used for carrying out primary processing and analysis on the original data acquired by the data acquisition layer; the network transmission layer can ensure reliable and real-time transmission of data; the platform layer provides powerful data storage, calculation and analysis capabilities; the application layer provides service functions for different users; and the display layer provides various man-machine interaction interfaces to meet the requirements of different users. According to the intelligent early warning system for dust blocking of the electrostatic dust collector based on digital twinning and multi-source perception, through multi-level technical innovation, the limitation of a traditional dust blocking monitoring means is effectively solved, and early recognition, accurate prediction and intelligent disposal of the dust blocking risk are achieved.

The invention discloses a static single assignment form query architecture which solves the problems that an existing SSA analysis tool is low in query efficiency and large in resource consumption in a large-scale code library. The framework comprises a front-end SSA intermediate presentation layer, an intermediate cache layer and a background database layer, wherein the front-end layer converts a source code into an SSA code comprising a node, a data flow edge and a control flow edge; the middle cache layer adopts a dynamic self-adaptive size to cache an intra-process data flow sub-graph, an inter-process data flow abstract and a hotspot query result; and the background layer stores the complete SSA data structure chart through an SQLite database. Millisecond-level response is realized through intelligent cache, I / O and memory overhead are balanced by combining lazy query and lazy storage strategies, and static analysis efficiency and resource utilization rate of a large-scale code library are remarkably improved.

The application provides a large model lightweight deployment method supporting dynamic hardware adaptation, comprising constructing a runtime adaptive system with closed-loop perception and decision-making capability, taking a hardware-independent intermediate representation layer UDL as a technical cornerstone, and realizing dynamic lightweight deployment of a large model on an edge device through a complete closed-loop process of monitoring-decision-reconstruction-compilation-execution-feedback, specifically comprising model unified conversion, runtime state perception, reconstruction decision generation, model lightweight reconstruction, hardware adaptation code generation, optimized code execution, and performance feedback optimization.The application has the beneficial effects that an adaptive system based on a unified intermediate representation and having runtime perception and reconstruction capability can be constructed, dynamic lightweight deployment of a large model on an edge device can be realized, real-time deep collaborative adaptation of a model and hardware resources of an edge device can be realized, and resource utilization, system robustness and service reliability can be improved.

The invention discloses an ST language debugging method based on LLVM debugging information and a GDB / MI interface, and relates to the technical field of language development, and the method comprises the steps: carrying out the lexical analysis, grammatical analysis and semantic analysis of an ST source code through an ST language front-end analyzer, and generating a middle presentation layer of an LLVM; encoding the debugging metadata into a debugging information segment in a debugging information recording format, and compiling the debugging information segment and other machine codes into an executable file; the ST debugger starts the GDB through the process control interface and loads the executable file, and the debugging information segment is analyzed through the GDB; the ST debugger sends the debugging command to the GDB through the MI interface, and the GDB debugs the executable file after receiving the debugging command; and the ST debugger receives the feedback information to perform MI interface response analysis. The universal debugging method supports source-level debugging of a universal debugger on a program, improves debugging availability and expansibility, and is irrelevant to a platform and complete in function.

The invention provides a processing method and device for automatically generating script codes and a computer program product, and the method comprises the following steps: constructing a visual component library which comprises a source table component, an intermediate table component, a target table component and a complex logic component; performing logic connection on components of the visual component library through a canvas interface to obtain a table-level directed acyclic graph and a field-level abstract syntax tree; generating a database-independent intermediate presentation layer according to the table-level directed acyclic graph and the field-level abstract syntax tree; the target dialect is determined according to the target database type, the middle presentation layer is converted into the SQL code of the target dialect through the dialect adapter, the generated SQL code is executed, and the problem that in the prior art, the data development efficiency is low is solved.

The application relates to the technical field of information security and data privacy protection, and discloses a role-based dynamic desensitization rendering method and system for an application display layer; the method is used for solving the problems of the traditional method, such as the lack of multi-role dynamic control, rule caliber consistency and centralized maintainability; the method is characterized in that: firstly, in the unified entrance, a work number, a role, a tenant, an environment and a sub-pool identifier are acquired in session initialization, and context is transparently transmitted; in the back end, a field path is generated by field strategy mapping in a response serialization stage, a display value field is output, and a desensitization metadata area carrying a rule version, an invalid time and verification information is generated; after the front end intercepts the response, the metadata integrity is verified, the rule version is inquired from a strategy center and aligned according to the role, the display value is replaced according to the field path and the priority during rendering, the rule inquiry adopts cache and expiration refreshing, the strategy center supports gray release, rollback and audit trace.

The invention discloses a bearing acoustic fault diagnosis system and method based on a Qwen2 model, and the system comprises a front-end display layer, a rear-end service layer, an AI model layer and a data storage layer, the front-end display layer employs a response type Web interface and supports vibration signal feature input, real-time diagnosis result display and historical record query management, and the rear-end service layer is based on a Flask framework and supports vibration signal feature input. A RESTful API interface and a user authentication system are provided, a Qwen2-1. 5B-Instruct basic model and a LoRA fine tuning adapter are integrated in the AI model layer, efficient fault diagnosis reasoning is achieved, an SQLite database is adopted in the data storage layer, persistent storage of user information, diagnosis history and system configuration is supported, and all the layers communicate through standardized interfaces. According to the method, numerical vibration features are converted into natural language description, the semantic comprehension ability of a large language model is fully utilized, and the diagnosis accuracy and interpretability are improved.

Systems and methods are provided for integrating legacy systems into a unified platform. Implementations include a system configured to: ingest, normalize, and store data from multiple sources using a data layer; analyze and transform the data using AI algorithms by a processing layer; and provide a data visualization and interactive, dynamic user interface by a presentation layer. Methods are provided for receiving data (such as email orders, vendor catalogs, CRM data, etc.) from computing devices; extracting data from the content; processing the data using natural language processing techniques; analyzing the data using machine learning models; mapping the data to patterns on a unified platform; managing integration workflows using a workflow orchestration engine; providing real-time data insights; and resolving data errors or anomalies using an exception management system.

The invention discloses a large language model low response delay reasoning method and device oriented to an edge environment, and the method comprises the steps: carrying out the modeling of the calculation time, communication time and memory occupation of a large language model reasoning system before the deployment of the large language model reasoning system, and obtaining a corresponding modeling result; constructing a parallel space for representing mixing of intra-layer asynchronous parallel and inter-layer asynchronous parallel; executing integer programming modeling operation based on the parallel space to obtain an integer programming modeling result; based on an integer programming modeling result, determining a deployment scheme of a large language model reasoning system for the target reasoning task; deploying the large language model inference system based on the deployment scheme; and based on the fine-grained communication optimization operation, cooperatively executing reasoning on the target reasoning task among the edge devices. Therefore, the method can reduce the pre-filling delay while improving the pre-filling throughput, and further reduces the reasoning response delay of the large language model oriented to the edge environment.

The invention discloses a satellite API (Application Program Interface) service access control and data service system, which relates to the field of satellite data processing, and comprises a Web interface presentation layer, a back-end service engine layer and a basic storage component layer, and the back-end service engine layer is integrated with a gateway system, an API spatial data service, an API model data service and an authority system. The gateway system carries out unified routing, identity authentication, access authority verification and calling frequency statistics on API access requests from a Web end or a third party, and forwards the requests passing verification to corresponding data services. The authority system is used for managing API authorization information and user identity certificates in a centralized mode, and the basic storage component layer supports efficient storage and access of API management data, authority data and satellite data through a relational database, object storage and cache storage. According to the invention, unified access control of multi-star-source satellite data is realized, and the security, controllability and expansibility of data service are improved.

The invention discloses an approval process system, and the system comprises a presentation layer which is used for providing a visual interface, and receiving an approval rule configuration request of a business system through the visual interface; the examination and approval logic processing layer is used for configuring and managing examination and approval rule information in response to the examination and approval rule configuration request, creating and managing an examination and approval process instance according to the examination and approval rule information, executing the examination and approval process instance according to the examination and approval rule information and managing the execution state of the examination and approval process instance; and the database layer is used for persistently storing the approval rule information and the approval process instance. According to the application, through a system architecture in which the presentation layer, the approval logic processing layer and the database layer are coordinated, the compatibility of a domestic database is improved; the examination and approval logic processing layer decouples examination and approval path judgment logic and process definition, examination and approval paths can be dynamically matched according to different service scenes and initiation roles, compiling of complex condition scripts or additional development is not needed, and high configurability and flexibility of the examination and approval process are improved.

The invention discloses a BIM (Building Information Modeling) and GIS (Geographic Information System)-based rail transit digital model multi-source data conversion and integration method, which comprises the following steps: constructing a B / S (Browser / Server) architecture based on a Cesium open source map engine, and the B / S architecture comprises a data layer, a business logic layer and a presentation layer. According to the system, topographic data collected by an oblique photogrammetry technology, vector data collected by an oblique model and BIM data generated according to rail transit construction requirements are integrated, the data from different sources have respective characteristics and advantages, and a spatial semantic integration algorithm in the conversion integration unit is utilized; according to the method, data in a BIM model is converted and integrated into a GIS model, consistency in geometry, semantics and precision is ensured, the problems of semantic loss, geometric deformation and the like existing in BIM and GIS data conversion in a traditional method are solved through a spatial semantic integration mode, data seamless integration in the true sense is achieved, and the method is suitable for large-scale popularization and application. Reliable guarantee is provided for subsequent data analysis and application, and the requirements of workers are met.

The invention relates to a cross-platform application system supporting rich text editing and a related method. The system comprises a presentation layer, a business layer and a bridging layer, and the presentation layer is constructed based on a declarative user interface framework and used for rendering a native user interface and responding to user interaction; the business layer runs in a webpage view container and is used for bearing and running a rich text editor which is packaged into a local static resource bundle; the bridging layer is respectively in communication connection with the presentation layer and the service layer and is used for realizing bidirectional message communication and data exchange between the presentation layer and the service layer; wherein the presentation layer is configured to convert user operation into a standard command and send the standard command to the business layer through the bridging layer; the business layer is configured to execute a standard command and actively send a state event to the presentation layer through the bridging layer; the system encapsulates the rich text editing capability of the business layer into a rich text editing service capable of being called by the presentation layer through the bridging layer, so that the original experience and rich text editing functions are considered in application mixed development.

The invention relates to the technical field of authority management, and discloses a pluggable RBAC authority management middleware based on a shared low-resource technology stack and an RBAC authority management method.The middleware adopts a Vue.js-Node. Js-Sequelize-MySQL lightweight technology stack, and the middleware is packaged into an independent pluggable assembly through a layered architecture of a presentation layer, a service logic layer and a data persistence layer. According to the method, a MySQL memory table and a Redis multi-level cache mechanism are adopted to optimize resource consumption, and memory occupation of single-machine deployment is smaller than or equal to 500 MB; a full-link permission verification system of front-end routing interception-UI control-rear-end interface verification is constructed, and the permission bypassing risk is completely eradicated; and through decoupling of a standardized RESTfull / Grpc interface and a service system, seamless adaptation of multi-language technology stacks such as Java / Python / . NET and the like is supported. According to the method, the defects that an existing distributed scheme is poor in reusability, a centralized scheme is high in resource consumption, and an open source scheme is insufficient in safety are overcome, the method can be widely applied to small and medium-sized applications and multi-technology stack service systems, the authority management efficiency and safety are remarkably improved, and the deployment cost is reduced.