22 results about "Open API" patented technology

The invention relates to the technical field of distributed system security and intelligent operation and maintenance, in particular to an API full-life-cycle intelligent treatment method and system based on multi-modal data perception and a blood relationship atlas, and the method comprises the steps: S1, collecting network traffic in a non-intrusive mode, automatically discovering an API, extracting metadata features, and generating an API change event; s2, performing semantic analysis on the API metadata based on a natural language processing technology, calculating a sensitivity score, and performing marking alarm on a high-risk interface; s3, constructing an API blood relationship map, and carrying out change influence analysis and risk assessment based on the map; s4, risk simulation is carried out on API changes based on flow playback, and plan changes are tested in a layered sandbox environment; and S5, automatically generating a document conforming to an open API specification based on the API metadata, and synchronously updating in real time. All links are connected in series to form a closed-loop governance system through the event-driven engine, automatic and intelligent governance of API assets is achieved, and the safety, stability and operation and maintenance efficiency of the system are improved.

The invention particularly relates to a CAD part feature recognition method based on a graph neural network, and the method comprises the steps: extracting geometric entity information and topological relation information based on C # and NX Open API, and generating standardized AAGJSON format data; converting the geometric data into a graph structure which comprises a topological adjacent matrix and a multi-dimensional node feature vector comprising geometric, topological and shape features; a graph neural network model comprising a graph convolution layer, a graph attention layer and a graph sampling aggregation layer is adopted for training, and feature categories and confidence degrees of holes, grooves, bosses and the like are output; and the prediction result is corrected based on geometric consistency, topological connectivity and context rationality constraint. The method has the characteristics of high recognition precision, strong adaptability and good robustness of complex parts, can be integrated in UG NX to realize real-time recognition and visualization, provides important technical support for design automation and manufacturing industry digitization, and solves the problems of low recognition precision, poor adaptability and insufficient topological information utilization in the existing CAD part feature recognition method.

The invention provides a supply chain bill ecological interconnection system based on an open API (Application Program Interface) and a smart contract, which relates to the field of electric digital data processing and comprises a self-adaptive open interface collaboration module, a cross-chain smart contract arrangement module, a multi-source credit intelligent calculation module and an end-to-end privacy security protection module, the self-adaptive open interface collaboration module is responsible for realizing intelligent access and authority management of a heterogeneous system, the cross-chain intelligent contract arrangement module is responsible for realizing unified contract management and automatic execution in a multi-block chain environment, and the multi-source credit intelligent calculation module is responsible for fusing multi-party data to construct a supply chain credit evaluation system. The end-to-end privacy security protection module is responsible for providing data encryption, privacy calculation and identity verification of the whole process; according to the system, the problems of data islands, unsmooth credit transmission, unbalanced privacy protection and data utility and the like in a supply chain bill system can be solved, and a complete technical solution is provided for digital ecology of supply chain finance.

The invention relates to the technical field of information processing, in particular to a reverse order full-link identification and risk control method, device and equipment and a storage medium, and the method comprises the steps: regularly pulling order basic information of a merchant from a plurality of open APIs, and employing a CRF model to identify a waybill reverse label in the order basic information, cross-platform reverse order data streams are automatically processed, the multi-source heterogeneous data integration capability is achieved, the data processing efficiency is improved, accurate recognition and standardized management of reverse order customer information are achieved, sending and receiving information corresponding to reverse waybill numbers is inquired, whole-process processing of order data is covered, the data management quality is improved, and the data management efficiency is improved. Calling a naive Bayesian classification model to calculate a first risk probability of the sending and receiving information, improving the intelligent degree of risk identification, fusing the first risk probability and the historical total return rate of the user to obtain a second risk probability, and generating abnormal order interception information when the second risk probability is greater than a preset risk threshold value. And risk control decision-making efficiency is improved.

Example embodiments of the present disclosure relate to an Application Programming Interface (API) for configuration management (CM) in Open Radio Access Network (O-RAN). According to example embodiments, a system may include an Operations and Management (OAM) function and a Non-Real-Time (Non-RT) Radio Access Network (RAN) Intelligent Controller (RIC). The Non-RT RIC may implement at least one application (rApp). The rApp may be communicatively coupled to the OAM function via an Open API that supports two Hypertext Transfer Protocol (HTTP) operations. In this regard, the rApp may be configured to send, to the OAm function via the Open API, an API request. Further, the OAM function may be configured to receive the API request from the rApp via the Open API and perform a CM operation based on the API request.

The application provides a supply chain asset isolation and disposal system based on an open API and a blockchain, the system comprising a trust agreement signing module, an asset registration and trust management module, a risk triggering and ownership transfer module, a disposal execution module and a blockchain storage and audit module; the trust agreement signing module realizes electronic agreement signing and blockchain storage; the asset registration and trust management module registers the assets after they meet the inclusion conditions and uniformly manages the trust asset list and state; the risk triggering and ownership transfer module triggers automatic asset ownership transfer based on the risk determination result when a risk event is detected; the disposal execution module executes disposal operations after the ownership transfer and generates disposal results; the blockchain storage and audit module stores key operations to support full-process audit tracing; the application realizes accurate risk identification through multi-source API data fusion and quality evaluation, significantly improving the intelligent level and risk control capability of supply chain asset management.

The invention discloses a software and hardware integrated intelligent platform oriented to artificial consciousness, which is constructed based on a netted DIKWP model and deeply fuses an intention layer learning mechanism and a system architecture. The platform integrates five-layer cognitive processes of data, information, knowledge, wisdom and intention, and the intention layer dynamically adjusts system target and behavior priorities through adaptive learning to realize autonomous decision optimization in a complex environment. A phi value calculation method of an integrated information theory (IIT) is introduced, and the degree of artificial consciousness of the system is quantified and applied to decision calibration and global optimization of an intention layer. A software and hardware coupling design is adopted, heterogeneous computing hardware and a cognitive algorithm are combined, and efficient fusion of multi-modal information and deep connection of a man-machine environment are realized through an electromagnetic / energy field interaction mechanism. The platform provides an open API interface, supports scene application of medical health, automatic driving, intelligent robots and the like, has advancement, creativity and practicability, and has important technical value in the fields of artificial consciousness and humanoid intelligence.

The invention discloses a method for synchronizing and publishing works of multiple types of social media accounts, and relates to the technical field of social media operation, comprising the following steps: step 1, content structuring processing: analyzing the content of works created by a user; extracting text, picture, audio and video elements in the data, and storing the text, picture, audio and video elements according to a unified structured format; step 2, cross-platform content adaptation: according to the type and format requirements of the target social media platform, performing automatic adaptation conversion on the structured content; step 3, publishing strategy optimization: determining optimal publishing time and frequency based on content recommendation algorithm characteristics of the target platform and user active time data; 4, multi-platform synchronous publishing: through calling an open API interface of each social media platform, publishing the adapted content to a corresponding account according to an optimized strategy; and 5, synchronization and update management: maintaining the association relationship and state information of the content published by each platform.

The invention provides a multi-parameter optical fiber sensing monitoring system based on a cloud platform. The system comprises a sensing layer, a network transmission layer, a platform service layer and an application service layer, the sensing layer is used for sensing and collecting environment information and performing information interaction with the cloud platform; the network transmission layer is used for realizing data interaction between the sensing layer and a cloud platform; the platform service layer is used for analyzing and storing the data uploaded by the sensing layer and providing an open API (Application Program Interface); and the application service layer is used for developing a cloud platform by adopting a front-end and back-end separation mode based on a B / S (Browser / Server) architecture so as to realize data visual display. The intelligent level and the operation and maintenance efficiency of the monitoring system are improved.

The application discloses a mail sending rate adjusting method and device, equipment and storage medium, relates to the network security technical field, and includes the following steps: calling a preset Open API interface to create a mail sending task for each phishing email; determining whether the current time has reached the scheduled sending time; if yes, the mail sending task is sent to the master management service through the Open API interface, and the mail sending task is distributed to multiple agent nodes according to the distribution strategy of the mail sending task; the task execution mode of the mail sending task is obtained through the agent node, and the phishing email is sent to the target practice object according to the task execution mode; the mail sending rate is detected through the master management service, and it is determined whether the mail sending rate is greater than the preset rate threshold; if not, a new agent node is created to send the phishing email to be sent. The application can realize dynamic mail sending efficiency adjustment and achieve good phishing email practice effect.

The disclosed technology teaches keeping up with the deployment of APIs, so that Secure Access Service Edge (SASE) protection is afforded, parsing an OpenAPI specification for an API family, for identifying overall attributes of the API family. The technology includes parsing an OpenAPI specification to extract usable attributes of API resources, which are useful for building a connector, including extracting attributes of core activities that trigger protective actions, and applying a connection creator that performs actions including accessing a template for creating connector rules and using the extracted attributes with the template to produce the connector rules, thereby automating generation of connectors. Using the connector rules for the SASE protection is also taught.

The invention discloses an AI-based multi-channel advertisement bidding automatic management system, and the system comprises a cross-platform interface module which is used for carrying out the butt joint of an open API of each advertisement platform, and completing the butt joint of each advertisement platform based on an MCP protocol; the advertisement generation module is used for automatically generating adaptive advertisement materials and orientation strategies according to the demand information and the rule information of each advertisement platform; the AI decision module is used for determining an optimal bidding strategy according to reinforcement learning technology decision; and the effect analysis module is used for carrying out multi-dimensional modeling analysis on the advertisement putting effect by utilizing the attribution model, and determining contribution values of all the advertisement platforms to the overall conversion of the target advertisement. Various advertisement platforms are connected, the advertisement content is intelligently generated according to requirements of advertisers, publishing rules of different platforms are automatically matched to adjust the advertisement format, feedback data of the platforms are integrated to perform unified attribution analysis, a quotation strategy is cooperatively formulated, and the overall management efficiency and the advertisement putting effect are improved.

The invention discloses a label printer application opening system, and belongs to the technical field of label printing. The system comprises a label printer and a matched software development kit. The software development kit comprises a Python core software package preset in the label printer and a group of APIs (Application Program Interface) oriented to function calling. A Python interpreter is embedded in a processor of the label printer and used for running a system main program and a user-defined script written by a user based on a Python language. A user script communicates with a system main program by calling an API, external equipment data can be obtained, and a personalized label printing task is executed according to an instruction. The system main program responds to the script running request and monitors the running state of the script running request. According to the invention, an open development platform is constructed by integrating the Python interpreter and the open API, so that a user can conveniently develop customized applications, the problems of limited functions and poor expansibility of traditional printing equipment are solved, intelligence and automation of printing tasks are realized, the process is simplified, the efficiency is improved, and the cost is reduced.

The invention provides a comprehensive system and method for managing and mitigating damage to public and private facilities caused by vehicular accidents. It integrates with existing police and government systems through open API programming, utilizing mobile and desktop applications for efficient data collection and report generation. The system employs advanced geofencing, timestamping, and analytics capabilities to streamline accident documentation, cost estimation, and insurance claim processing. A layered architecture enables secure data management while facilitating real-time information exchange with external platforms. Key features include automatic file creation upon first photograph capture, comprehensive repair tracking with location validation, and sophisticated analytics for cost estimation and financial impact analysis. The system maintains exclusive data control while enabling secure access through controlled APIs, implements multi-channel notifications, and provides public-facing transparency tools. By automating and optimizing the entire process from accident reporting to cost recovery, the invention enhances efficiency, reduces administrative burden, and improves public infrastructure management.

The invention relates to an FMI and OpenAPI-based hybrid modeling simulation system for cooperative combat of unmanned aerial vehicles / unmanned aerial vehicles, and the system comprises a top architecture modeling layer which is used for completing the demand analysis and architecture design of a combat system; the bottom domain modeling layer is used for constructing a professional domain continuous model responsible for realizing a specific function algorithm; the multi-domain model integration simulation layer is used for associating the model of the top-layer architecture modeling layer with the model of the bottom-layer domain modeling layer; and the scheduling management and visualization layer is used for constructing a visualization interface and reading simulation data of the multi-domain model integration simulation layer. According to the hybrid modeling simulation system for cooperative combat of the unmanned aerial vehicle / unmanned aerial vehicle, a closed-loop simulation solution from top-layer architecture design to bottom-layer algorithm verification is provided; the method effectively overcomes the limitations of an existing unmanned aerial vehicle / unmanned aerial vehicle cooperative combat simulation scheme in the aspects of single technical space, poor model reusability and expansibility, weak cooperative simulation capability, low man-machine interaction and visualization degree and the like.

The invention provides a browser real-time performance monitoring method and device, equipment and a medium. The method comprises the steps that multiple pieces of first performance data of a target browser are collected based on a browser performance API interface, and a user calls a pre-designed open type API interface to collect second performance data of the target browser based on the monitoring requirement for the target browser; performing data analysis on the first performance data and the second performance data to determine a performance data analysis result; and determining whether to perform event warning and abnormal event handling on the target browser based on the performance data analysis result. Various performance indexes of the browser are obtained through the browser performance API interface, and the performance data of the browser under the monitoring requirement are obtained through the open type API interface, so that the performance of the browser is comprehensively monitored, and real-time monitoring and data analysis are carried out, so that a user can timely discover and solve the performance problem of the browser, and the user experience is improved. And the performance of the browser and the user experience are improved.

The invention relates to a boiler main steel frame modeling method and device, computer equipment and a storable medium, and relates to the technical field of computer aided design, the method comprises the following steps: reading a first definition command about a project general situation in an STAAD model file, and storing the first definition command in a model class of STAAD software as a global variable; reading a second definition command about a node coordinate, a component connection relation and a component specification of the main steel frame in the STAAD model file, and storing the second definition command into a subclass corresponding to the STAAD software; main steel frame general situation data stored in the STAAD software are imported into the TEKLA software, the main steel frame general situation data stored in the STAAD software are read in the TEKLA software through an open API interface, a model axis network system, a measurement unit system and geometric models of all components are created, data communication between the STAAD software and the TEKLA software is achieved, data interaction and sharing between the two kinds of software are achieved, and data interaction and sharing between the two kinds of software are achieved. The error occurrence rate is reduced, the model building is rapid and simple, and the design accuracy and reliability are improved.

The invention relates to the technical field of industrial software and system integration, in particular to a flexible pluggable production line digital service integration framework system, comprising an access layer comprising a data acquisition gateway for acquiring original data of equipment and a protocol adapter cluster for converting the original data of the equipment into structured data; the middle layer comprises a data integration engine used for processing the structured data into a standardized data object, a service orchestration engine used for performing service orchestration on the standardized data object to generate business data, and a message bus and communication module used for transmitting the business data to a target system; the application layer comprises an open API gateway used for providing an API interface for the message bus and the communication module; and packaging the function module into an independent Docker container, deploying an OSGi framework on an application layer, and realizing hot plugging of the Docker container through the OSGi framework. According to the invention, the expandability, availability and maintenance efficiency of the system are improved.

The application provides a data processing method and device, the method comprises the following steps: identifying an interface element and obtaining a flow control table; judging whether the interface element is an interface object with an identifiable interface object ID based on the flow control table; if yes, executing an operation driving script and a judgment operation script in the flow control table based on the interface element to archive a target interface; if no, executing a fitting operation to obtain an operation result; judging whether the interface element is an operation object based on the operation result; if yes, executing the operation driving script and the judgment operation script to archive the target interface. The method provided by the application can archive an interface without obtaining an interface object ID through an open API and manipulating the interface across application windows.

A method for evaluating and validating requests before they reach one or more services in a microservice application, each service being an application program interface (API) performing a piecemeal function of an overall application function, including receiving an API message and comparing the body thereof to a schema; based on that comparison either forwarding the message on as normal in the event of a successful comparison and generating an error message when the comparison fails. In some embodiments, the schema implements Open API Specification Validation.

The invention discloses a model management implementation method and system based on a Tencent document open platform, belongs to the technical field of model management, and solves the technical problems that an existing model management system is high in development cost, low in cooperation efficiency and insufficient in information linkage. According to the method, on the basis of the advantages of a Tencent document open platform Open API and multi-person collaborative editing, model full-life-cycle management is realized through four core steps: constructing a management document system containing a model metadata document, calling a description document, establishing document association and realizing collaborative editing; deploying a to-be-managed model at a model server, inputting information such as model foundation, grouping and regional configuration into a document, and realizing linkage management and control of model information and the document; when the client calls the model, parameter legality is automatically verified, the server collects access records in real time, analyzes the running state and synchronizes abnormal information to a management document system; and the client side securely downloads the target model from the server side after authority verification according to deployment and authority configuration in the document. The invention also constructs a management system consisting of a model server, a Tencent document open platform module and a client, and does not need to independently construct a collaboration and document system, thereby reducing the development and maintenance cost, improving the team collaboration efficiency, realizing the unified management and control of the model authority and information, guaranteeing the safety and normalization of the model application, and improving the development and maintenance efficiency. The method is suitable for scenes such as enterprise-level model deployment, collaborative management and control, state monitoring and secure downloading.

The invention relates to the technical field of resource management, in particular to a human resource management method based on distributed SaaS. The method comprises the following steps: constructing a multi-tenant isolation architecture, separating data and behaviors of different tenants, and establishing a tenant configuration table containing tenant basic information, a data storage path and permission configuration at the same time; providing a user-defined interface and a business rule configuration function for each tenant based on the tenant configuration table, and setting a corresponding business module flow and a display style; the method comprises the following steps: splitting into a plurality of micro-service modules by adopting a distributed system architecture, and realizing event-driven decoupling among the micro-service modules by utilizing a message queue; and monitoring the resource use condition of each tenant based on the user-defined interface in real time, dynamically allocating system resources, carrying out system upgrading and vulnerability repairing operation on all tenants, and realizing data interaction with an external system by utilizing an open API interface. According to the invention, high availability, expandability and safe operation of human resource management can be realized.