23 results about "Technical specifications" patented technology

Systems or methods of the present disclosure may provide a design tool for adjusting designs implemented on programmable logic devices. The present disclosure includes receiving documentation and receiving a full text search. The documentation may include user guides, technical specifications, and design files such as HDL code, constraints, timing reports, and / or design assistant / rule violation (DRC) reports. The present disclosure also includes determining semantic search for embedding vectors based on the documentation and the full text search. Furthermore, the present disclosure includes providing the semantic search to a large language model (LLM).

The invention discloses a cross-heterogeneous platform law supervision system based on XML and semantic matching. The cross-heterogeneous platform law supervision system comprises a data standardization module and a cross-heterogeneous platform execution system. The cross-heterogeneous platform execution system comprises a heterogeneous platform data import module, an XML file verification module and a supervision function execution module; the data standardization module is used for realizing standardization of cross-platform legal supervision data on the basis of intermediate description language technical specifications; the heterogeneous platform data import module comprises two independent heterogeneous platform data import platforms and is used for realizing data import and converting heterogeneous data of different platforms into a unified XML (Extensible Markup Language) file; the XML file verification module is used for carrying out mutual matching of an XML file and an XSD file based on an XSD specification file given by an XML specification and the XML format file so as to realize XML file verification; and the supervision function execution module is used for executing a legal supervision function corresponding to the XML file after the XML file passes verification.

A method for automatically generating a research and development proposal for an in vitro diagnostic kit, performed by a server for automatically generating the research and development proposal, includes: acquiring an initial proposal including intended use information for the kit; providing the acquired initial proposal to a pre-trained language model; acquiring a specification (spec) for the kit from the language model receiving the initial proposal, wherein the acquired specification for the kit includes at least one of a technical specification to be used for the research and development of the kit, a resource specification for the research and development, a design specification for the kit, a regulatory approval specification that is needed to meet for approval, and a performance specification for the kit; and controlling to generate the research and development proposal for the kit including the acquired specification and the intended use information for the kit.

The invention provides a multi-agent collaborative supply chain bill system automatic development method and device, and the method comprises the steps: receiving a user demand document related to a to-be-developed supply chain bill system, and obtaining an enterprise specification document used for constraining development technical specifications; initializing a workflow arrangement module and a state data structure for automatically developing the supply chain bill system; wherein the workflow arrangement module comprises a directed graph, an intelligent agent is used as a node, and a circulation rule is used as an edge; and the intelligent agent processing module is used for enabling the intelligent agents to work serially and / or concurrently according to an execution path determined by the workflow arrangement module by taking the enterprise specification document as a constraint, analyzing the user demand document to obtain a design document, planning a development task according to the design document, generating review opinions by reviewing the planned development task, and sending the review opinions to the intelligent agents according to the review opinions. And generating a code file based on the design document, the development task and the review opinion, and compiling the code file to obtain an executable file related to the supply chain bill system.

The application discloses a kind of generation methods, device and equipment of intelligent instrument technical demand and storage medium, comprising: according to the existing technical specification document of intelligent instrument generation online shared modular database;Receive the architecture creation instruction input by architecture engineer, and generate display setting demand according to architecture creation instruction and modular database;When receiving the technical demand creation instruction of total demand party, generate initial intelligent instrument technical demand according to display setting demand;When receiving the function supplement instruction of system engineer party, modify initial intelligent instrument technical demand according to function supplement instruction to generate formal intelligent instrument technical demand.Through the existing technical specification document generation shared modular database, generate formal intelligent instrument technical demand according to the instruction of architecture engineer, total demand party and system engineer.Can adjust intelligent instrument technical demand according to real-time demand, improve the efficiency of intelligent instrument technical demand generation.

The application relates to the technical field of digital media processing, in particular to a kind of object attribute dynamic configuration method for digital media multi-platform.The scheme aims at the configuration problem caused by the difference of technical specifications when digital media is displayed on different platforms, generates platform feature vector containing composite features by real-time collection and analysis of each platform technical specification;Nonlinear conversion model of object basic attribute to platform specific attribute is established by using multilayer perception;Subscription-published architecture containing subscription management, message publishing and message distribution module is constructed, so that digital media object can subscribe to platform strategy change notification;When receiving the notification, trigger configuration recalculation, apply new attribute to object and update configuration information.The application can dynamically adapt to platform specification changes, improve digital media content management efficiency and display effect, has the advantages of strong universality, high configuration accuracy, etc., effectively meets the multi-platform digital media transmission demand.

This invention provides an artificial intelligence-based software refactoring method. The method includes: acquiring the current code data and user data of the software to be refactored; determining a target refactoring strategy based on the current code data and user data; generating refactoring code data corresponding to the target refactoring strategy based on a large language model; and refactoring the software based on the refactoring code data to obtain the target software. This invention analyzes code data and user data, considering both the code problems of the software to be refactored and user business expectations, to generate a target refactoring strategy that balances technical optimization and business needs. This avoids the problem of the separation between technical optimization and business goals in traditional methods, ensuring that the refactored code accurately matches the user's actual business scenario while optimizing technical indicators, reducing the cost of secondary modifications due to misunderstandings of requirements, and thus improving the accuracy and efficiency of software refactoring.

This application belongs to the field of data processing technology, specifically relating to a method, system, and device for automated application deployment based on standardized data assets, aiming to address the problem of insufficient intelligence in the transformation from data to applications. The method includes: matching at least one target dynamically enhanced data asset based on the business semantics contained in the received application deployment request; parsing the deployment specifications contained in the target dynamically enhanced data asset to determine the target technical specifications; generating a complete set of configuration files and / or source code required for deploying the target application based on the target technical specifications; and calling the application programming interface to execute the complete set of configuration files and / or source code to deploy the target application. This application, by constructing dynamically enhanced data assets, achieves automated and intelligent transformation from data assets to applications, significantly improving deployment efficiency, reliability, and agility, and substantially reducing the technical threshold.

Systems or methods of the present disclosure may provide a design tool for adjusting designs implemented on programmable logic devices. The present disclosure includes receiving one or more data tables and receiving one or more design files. The one or more data tables may include technical specifications, user guides, and / or best practices. The one or more design files may include design inputs and design outputs such as timing reports, design assistant / rule violation (DRC) reports, and / or log files. The present disclosure also includes determining one or more chunks based on the one or more data tables, generating one or more embeddings based on the one or more chunks, extracting data from the one or more design files, while considering contextual information, natural break points, and cross-referencing. Furthermore, the present disclosure includes providing the one or more embeddings and the data to a large language model (LLM).

Systems and methods to publicly certify a specification and its corresponding software for a software project. A publicly certified specification and its software can consist of a verified software that comes with an interpretation of the formal specification written in some accessible language, in such a way that at least an individual with mathematical training can check that the translation from the formal specification to a human language is, up to some extent, correct. The systems and method provided herein generate and revise a technical specification, a formal specification, algorithmic code and formally verified code for compilation and execution as a formally verified program.

The invention provides a 10KV transformer substation design scheme generation method based on large language model fine tuning. The method comprises the following steps: constructing a 10KV transformer substation design related fine tuning data set; obtaining a basic large language model, and performing term understanding evaluation on the basic large language model; based on the basic large language model, utilizing the data set, and adopting a LoRA fine tuning method to perform fine tuning and evaluation on the basic large language model; and introducing a design logic reasoning strategy based on an attention mechanism into the fine-tuned large language model to enable the model to understand design condition input, and outputting a semantic design scheme by applying a design rule to generate a 10kv transformer substation design scheme. According to the method, intelligent generation of the 10kv transformer substation design scheme is realized through the field self-adaptive fine-tuning large language model, the design efficiency and quality are remarkably improved, and meanwhile, the design scheme is ensured to meet technical specifications and safety requirements.

This invention belongs to the interdisciplinary field of natural language processing and building engineering informatics, and particularly relates to a multimodal comparison method for engineering construction standards based on multi-level semantics and index quantification, comprising: S1, acquiring the engineering construction standard documents to be compared, and parsing them to obtain corresponding topological tree structure data; S2, obtaining the basic semantic similarity S based on the topological tree structure data of S1. base S3. Parse the structured key-value pairs in S1 to separate the indicator names, corresponding values, and dimensions, forming a set of key technical indicators; calculate the common indicator deviation D. shared and the one-sided indicator missing rate P miss S4, S based on S2 base S3's P miss With D shared The overall consistency score S is calculated using a nonlinear comprehensive evaluation model. final S5, the overall consistency score based on S4 final This invention generates a structured comparison report. It enables precise, cross-language, cross-system, multi-dimensional, and fully automated comparison and quantitative evaluation of engineering construction standards.

The invention discloses an analysis and quotation method and system based on a transformer, equipment and a medium, and the method comprises the steps: obtaining a bid invitation file of the transformer, carrying out the preprocessing of the bid invitation file, and carrying out the analysis according to the preprocessed bid invitation file and a preset parameter library, so as to determine a corresponding technical parameter; determining a project list according to the bid invitation file, and searching and matching corresponding technical specifications according to the project list; and performing data processing on the technical parameters according to the technical specifications to determine a material model and a quota, and generating a price list according to the material model and the quota. According to the method, the technical parameters are accurately determined by preprocessing and analyzing the bid invitation file through the parameter library; and in combination with technical specification processing data, the material model and the quota are quickly determined, the quotation efficiency and accuracy are effectively improved, enterprises are assisted to quickly respond to the market, and the competitiveness is enhanced.

This invention discloses an intelligent review method based on AI grouping of text similarity, belonging to the field of review and analysis technology. The method includes the following steps: obtaining the scale text of a power engineering project and extracting features to generate scale semantics; aligning the scale semantics with entities in a technical specification knowledge graph to obtain a technical specification text set and extracting material quantity requirement names; determining the similarity between the material quantity requirement names and the names of materials to be reviewed, and establishing a candidate matching set; obtaining the material category inclination rate of the names of materials to be reviewed by analyzing the category characteristics of material quantity requirements; reconstructing the candidate matching set based on the material category inclination rate and adding material usage for approval review. This invention aims to solve the problems of review difficulties and low accuracy caused by non-standard semantic expression in engineering documents during intelligent review of power materials.

The application discloses a remote supervision quality alarm method and system based on a large language model, and the method comprises the following steps: S1, uploading and analyzing technical specification documents, converting the documents into quality specification requirements in natural language expression; S2, performing block processing to obtain multiple technical specification items, converting the technical specification items into embedding vectors by using a large language model, and constructing a knowledge base; S3, collecting structured supervision data of a production environment in real time, constructing a data description question and a question embedding vector; S4, calculating the similarity between the question embedding vector and each embedding vector in the knowledge base, and screening out relevant technical specification items based on a similarity threshold; and S5, combining the data description question and the relevant technical specification items into a prompt, inputting the prompt into the large language model, and performing alarm according to the output result of the large language model. According to the application, whether the data collected from the production environment meets the requirements of the specification file can be judged based on the bidding technical specification book and the bid file specified by a user, and alarm can be performed.

The invention discloses an automatic test case generation method and device based on continuous integration, and relates to the field of computer software testing, and the method comprises the steps: obtaining desensitized transaction data and technical specification files; according to the transaction data and the technical specification file, a knowledge graph is constructed, and the knowledge graph is used for representing a logic association relationship among transaction features, business scenes, business rules and interface definitions; using the big language model to fuse with the knowledge graph for training to obtain a test case model; and generating an interface test case and a function test case by using the test case model according to the development demand entry. The technical problem that in the prior art, an automatic test case is difficult to cover transaction data and multi-dimensional requirements of technical specifications, and consequently the test quality is poor is solved.

The application discloses a retrieval method and device of application function information. It is related to the field of artificial intelligence, and the method comprises the following steps: receiving a retrieval request initiated by a requester; in response to the retrieval request, generating a reference specification set of a target application by using a first generation model, wherein the first generation model is obtained by training a first initial generation model by using an application attribute library and a technical specification library which are marked with application specification set samples of each application in a plurality of applications; generating a target specification set according to the reference specification set and a target technical document of the target application by using a second generation model, wherein the second generation model is obtained by training a second initial generation model by using application specification set samples which are marked with function specification set samples of each function in each application and function technical documents; and sending the target specification set to the requester. Through the application, the problem of low retrieval efficiency of application function-related technical specifications in the related art is solved.

The application provides a technical specification database construction method based on a context-aware specification parsing algorithm, which comprises the following steps: obtaining a standardized technical specification document; inputting the standardized technical specification document into a Transformer model to enable the model to perform perception extraction processing on the standardized technical specification document based on the context-aware specification parsing algorithm to generate a plurality of entity data corresponding thereto; performing deduplication conversion processing on each entity data, taking each entity data after the deduplication conversion processing as a node, taking a preset core relationship between each entity data as an edge, generating or updating a corresponding knowledge graph, and storing the knowledge graph in a preset technical specification database. The application can realize automatic parsing of specification documents, reduce manual workload, improve data consistency and maintainability, avoid specification execution deviation caused by context understanding errors, and improve the intelligent level of specification management.

The invention discloses a draught fan overhauling method and device, electronic equipment and a storage medium, and relates to the technical field of quality control. According to the draught fan overhauling method and device, key operation steps can be sorted from draught fan overhauling historical data and equipment technical specifications, a standardized overhauling document containing self-inspection confirmation items is formed, and clear guidance is provided for overhauling; in addition, documents are integrated to a digital platform to facilitate calling, recording and uploading, self-checking guidance and process integrity supervision are matched, key operation can be forcibly standardized, and omission is avoided, so that the technical problem that an existing operation instruction book is general and lacks a key guidance and forced self-checking mechanism, so that omission or misoperation of maintainers is prone to occurring can be solved, and the working efficiency of the maintainers is improved. The technical effects of improving the fan overhaul guide definition, reducing overhaul omission and misoperation, guaranteeing the overhaul quality, standardizing the overhaul process and improving the overhaul efficiency are achieved.

The invention discloses an intelligent card test instruction data processing method and device, equipment and a storage medium. The method comprises the following steps: acquiring heterogeneous test logs from a plurality of test platforms and extracting structured instruction data; acquiring a technical specification document and a test specification document, extracting knowledge information, and constructing a knowledge graph; field features and context features are extracted from the structured instruction data, knowledge features are extracted from the knowledge graph, and comprehensive feature vectors are generated according to fusion of the field features, the context features and the knowledge features; classifying the comprehensive feature vectors by utilizing a trained classifier to obtain an instruction semantic category; according to the structured instruction data, the knowledge graph and the instruction semantic category, an instruction library is generated, and the instruction library is used for assisting in generating executable test instructions. Therefore, the instruction information dispersed in different test platforms and tools is managed in a unified mode, the workload of script format conversion and interface adaptation is reduced, and therefore the integration cost of multi-platform testing is reduced.

Provided in the embodiments of the present application are a method and apparatus for sharing a technical indicator, and a device and a storage medium. The method comprises: in response to a sharing request, which is sent by a first client for a shared topic of an object of transaction, acquiring the object of transaction, a technical indicator and indicator definition information of the technical indicator under the shared topic; acquiring an indicator sharing identifier of the indicator definition information of the technical indicator; generating associated snapshot data of the object of transaction at the current sharing moment; and on the basis of the indicator sharing identifier of the indicator definition information and the associated snapshot data, generating topic information data of the shared topic. By means of the embodiments of the present application, the comprehensive sharing of a technical indicator under any object of transaction can be realized, such that other users who are shared with the technical indicator can perform various intuitive operational interactions on the technical indicator, so as to support the efficient and convenient application of the shared technical indicator for different users, thereby ensuring the intuitive interaction after the technical indicator has been shared.

The invention provides a double-graph constraint alignment method for a flow chart and a standard text in the building field. The double-graph constraint alignment method comprises the following steps: 1) obtaining and preprocessing data of a building flow and the standard text; 2) building a building semantic ontology and a word list; (3) four-tuple extraction and semantic expansion of process nodes and standard terms are carried out; 4) multi-view semantic vector construction and similarity calculation are carried out; 5) performing alignment solution and optimization under the constraint of a double-graph structure; and 6) applying the alignment result in a building scene. According to the method, a'stage-role-object-action 'quadruple is used as a core semantic unit, and service nodes in a construction enterprise management flow chart are integrated into a whole through a fixed word list and ontology construction, a determined sequence labeling and text expansion method, a multi-view vector representation method and a global alignment algorithm with structural constraints. And the technical specification terms of the country, the industry and the enterprise are automatically aligned.

This invention provides a method and apparatus for querying and downloading technical specifications for power grid enterprises. The method includes: logging into the power grid enterprise system, automatically inputting preset query range parameters, exporting multiple technical specifications and their corresponding relationship data; matching the corresponding relationship data with the full material information in the power grid enterprise's material master database to obtain a processing result; uploading the processing result to a first database table of a digital capability open platform; encrypting and storing the technical specifications on a file server, and storing the file information of the technical specifications in a second database table of the digital capability open platform; responding to a user's query request for technical specifications, returning a list of files that meet the query request based on the first database table; and downloading the target technical specification from the file server using the second database table based on the user's selection information of the target technical specification entered in conjunction with the file list.