360 results about "Interoperability" patented technology

The invention discloses a hydraulic engineering equipment data intelligent management system based on digital twinning, and belongs to the technical field of hydraulic engineering. Comprising an intelligent perception and data fusion module for realizing real-time acquisition and standardized processing of cross-modal data; the knowledge graph construction and causal reasoning module is used for constructing an intelligent knowledge system capable of autonomously learning and semantic reasoning; the digital twin modeling and simulation module is used for realizing dynamic simulation and scene deduction of a full life cycle and providing limit working condition simulation and risk assessment support; the intelligent prediction and health management module is responsible for performing real-time monitoring, fault early warning and residual service life prediction on the equipment state, and generating personalized intelligent maintenance strategies for different working conditions; the visualization and decision support module is used for visually presenting the equipment operation data and the analysis result and providing intelligent decision recommendation; and the cloud edge collaboration and system integration module realizes cross-platform interoperation and continuous integration through distributed computing and micro-service architecture.

The present invention discloses a software platform designed to facilitate seamless interconnection between users and multiple applications in an application-agnostic and centralized manner. This novel system simplifies the user experience by providing a unified interface for receiving notifications from, and interacting with, a multitude of disparate applications. Central to the platform is a robust middleware that bridges communication gaps, eliminating the need for manual data reconciliation and ensuring streamlined operations.Key components of the system include an Ingester Module that standardizes data from various sources, an Action Card Creator that transforms this data into interactive notifications, a Notification Dispatcher that routes these notifications to appropriate platforms, and a Command Translation Module that interprets user interactions for actionable insights. The platform offers interoperability across various communication mediums, employing AI and machine learning for enhanced data processing, predictive personalization, and efficient notification dispatching.Aimed at enhancing operational efficiency, the system addresses challenges faced by enterprises due to fragmented application environments, offering a scalable solution that adapts to organizational needs. By centralizing communication and workflow management, the disclosed invention provides businesses with a consolidated approach to managing multiple application interactions, driving innovation, and reducing technical complexities.

A system for improving employee engagement and automating the integration of business processes. The system includes: a user interaction module configured to receive multimodal inputs, including natural language text and voice requests from employees via enterprise portals, mobile applications, voice-activated devices, and collaboration platforms, and to generate real-time responses via conversational output channels; a context processor that is operationally coupled with the user interaction module, wherein the context processor stores the interaction history, employee preferences, organizational role metadata, and task results in both short-term and long-term memory and dynamically derives context for controlling responses and initiating workflows; A natural language and intent processor that is communicatively linked to the context processor. The intent engine consists of large language models trained on company-specific lexicons to perform intent detection, entity extraction, ambiguity resolution, and sentiment or urgency classification from employee queries; a workflow orchestration layer in communication with the intent engine and the context processor, wherein the workflow orchestration layer includes a rule-based and AI-powered process execution engine configured to automatically initiate, route, and complete cross-functional business tasks, including approvals, escalations, and compliance checks, with workflows defined using modular templates that include conditional logic and time-based triggers; Webhooks and authentication protocols provide secure interoperability between the workflow orchestration layer and external enterprise platforms; a feedback and learning module that is operationally coupled with the workflow orchestration layer and the natural language understanding engine, wherein the feedback and learning module is configured to analyze task completion rates, response accuracy, latency metrics, and user feedback signals, and to retrain underlying language and workflow models for adaptive improvement in real time; and an administration console with role-based access controls, compliance dashboards, audit trails and interfaces for workflow configuration, whereby the administration console enables authorized personnel to monitor system operations, adjust interaction rules and enforce data protection restrictions across departments.

The invention discloses a micro-grid cluster multi-target scheduling method based on a self-adaptive multi-hybrid strategy bald eagle algorithm, which utilizes multi-micro-grid interconnection to realize electric energy coordination interaction and optimize internal resource distribution. On the premise that stable operation and installed capacity of multiple distributed power supplies are constrained, a micro-grid economic and environmental cost cluster multi-target scheduling model is constructed. And the management center determines optimization target parameters according to the obtained photovoltaic prediction data, basic load prediction data and real-time electricity price data of each micro-grid. And solving the scheduling model by using an improved Balde eagle algorithm which contains an adaptive adjustment factor and is combined with a multi-hybrid strategy to obtain an optimal solution and a solution set under the condition that sub-targets are minimum, reconstructing and optimizing a multi-objective function by using fuzzy membership satisfaction according to a result, and obtaining a power distribution scheme of the micro-grid cluster system. The method provided by the invention is higher in convergence speed and highest in precision, gives consideration to optimization between economic and environmental multiple targets, can effectively coordinate electric energy interaction between microgrids, and enables system operation to be more economical and environment-friendly.

The invention discloses an AI-based automatic connection and handshake protocol for a trusted data space connector. The AI-based automatic connection and handshake protocol comprises a data supply end connector, a data demand end connector and a platform operation end, the data supply end connector is used for collecting and preprocessing data; the demand end connector is used for receiving and processing data; the platform operation end is used for connection management, authority distribution and security auditing; the method has the beneficial effects that through automatic connection and an intelligent handshake protocol, manual intervention is reduced, and the data circulation cost is reduced; multi-factor authentication, dynamic encryption and privacy protection technologies are adopted to ensure the safety of the whole life cycle of the data; aI and machine learning technologies are introduced, so that the system can intelligently select an optimal strategy according to real-time network conditions and data features; interoperation and data sharing among different data spaces are realized, and circulation and value mining of data elements are promoted.

The invention discloses a multi-zone-area interconnection model prediction control system and method based on side-end interoperation, relates to the technical field of power distribution automation, and comprises the steps of designing an interconnection system, configuring equipment to realize system architecture construction, optimizing a communication architecture, realizing real-time information interaction, and performing collaborative optimization based on model control prediction. According to the method, by adopting a model predictive control (MPC) strategy, energy dynamic distribution and load balancing between transformer areas are achieved, and the power quality problem caused by load fluctuation and distributed energy access can be effectively solved; the optimized communication architecture enables the real-time information interaction to be more efficient, and the cooperative control capability among the transformer areas is improved; through the flexible direct current interconnection technology, the problems of difficulty in capacity increase and point distribution and voltage quality difference of a traditional power distribution network are solved, and the stability and the safety of the power distribution network are improved. And meanwhile, the flexibility of cooperative operation of multiple transformer areas is improved, and the self-recovery capability of the system under the fault condition is enhanced.

The invention discloses a distribution network source-load collaborative micro-grid autonomous system and method, relates to the technical field of micro-grids, and realizes interconnection and intercommunication between an intelligent fusion terminal and equipment such as a charging pile, a photovoltaic device, an energy storage device, a low-voltage intelligent switch and the like by utilizing wireless communication technologies such as HPLC (High Performance Liquid Chromatography), 5G (5th Generation) and the like compared with the previous micro-grid autonomous system. By applying intelligent algorithms such as linear regression and machine learning, the platform automatically generates various optimization adjustment strategies, and after the strategies are audited by management personnel, a control command is issued to the terminal equipment through the intelligent fusion terminal; and remote intelligent operations such as energy storage charging and discharging mode adjustment, charging pile output power limit, photovoltaic output flexible regulation and control and automatic switching on and switching off of a low-voltage intelligent switch are realized. And performing whole-process monitoring on strategy execution, determining whether the strategy execution reaches a preset target, outputting a result analysis report, continuously optimizing an intelligent algorithm in combination with field equipment operation parameters, and continuously improving a source-network-load-storage collaborative interaction level.

The invention discloses an MBSE-based aircraft undercarriage system model integration method, and belongs to the technical field of system engineering. The method comprises the following steps: constructing an aircraft undercarriage system architecture, a classification mapping of simulation design information and a GOPPRR-E element model, and a meta-model library; constructing an architecture model according to a demand-function-logic-physical process, and generating a Simulink simulation model according to the architecture; a simulation model semantic mapping rule is constructed according to an OSLC specification, and design information is analyzed to establish an integrated data model; and a Simulink simulation tool integration adapter is constructed, and a tool interoperation service based on Web is provided. According to the method, a multidisciplinary model can be accurately constructed, uniform expression of architecture and simulation models and semantic consistency of heterogeneous models are realized, two-way transmission of cross-domain information and interoperation between tools are supported, the problem of interoperation between architecture modeling and simulation modeling tools in aircraft undercarriage system design is effectively solved, and the design efficiency is improved.

The invention discloses a conflict resolution method for an open avionics architecture. The method comprises the following steps: constructing an avionics field standardized ontology model, an entity type, a semantic relationship and a constraint rule; the entity types comprise a standard type, a resource type, an interface type and a security type; the semantic relationship comprises inclusion, inheritance, compatibility, dependence, conflict, constraint and version evolution; the constraint rule comprises version consistency, function interoperability and performance index constraint; building a multi-standard library based on the knowledge graph; and through a conflict detection and resolution mechanism, standard conflicts possibly occurring in the open avionics architecture design process are identified and eliminated. According to the method, unified modeling, multi-standard library construction and semantic level conflict detection and resolution of the multi-source heterogeneous avionics standard are realized.

The invention belongs to a rock test simulation method, and aims to solve the technical problems of insufficient model adaptability, lack of cyclic loading and unloading simulation and difficulty in parameter calibration due to dependence on a continuous medium mechanical model method when mechanical behaviors of rocks under cyclic loading and unloading conditions are simulated at present. According to the rock loading and unloading response simulation method and the related device, a compression hardening loading and unloading model is constructed, and the compression hardening loading and unloading model comprises a loading particle deformation constitutive model, an unloading particle deformation constitutive model, a tensile deformation constitutive model and a shear deformation constitutive model. A loading particle deformation constitutive model and an unloading particle deformation constitutive model are added in the compression hardening loading and unloading model, the rock compression hardening cyclic loading and unloading model is suitable for rock compression hardening cyclic loading and unloading simulation, and the hardening characteristic and the softening characteristic of the rock under the cyclic loading and unloading condition can be accurately reflected by finely depicting the interaction of particles in the rock to be tested.

This patent discloses innovative technologies for efficient and scalable collection, processing, and analysis of geospatial data. The proposed solutions encompass advanced hardware components, such as sensors, cameras, vehicles, satellites, LiDAR systems, and GPS devices, enabling high-precision data acquisition. The invention also introduces sophisticated software algorithms and techniques for processing and analyzing large volumes of geospatial data, including data fusion, feature extraction, image processing, and machine learning approaches. Additionally, the patent addresses the challenges of scalability and efficiency by optimizing data acquisition workflows, reducing processing time and resource requirements, and improving the accuracy and reliability of collected data. The disclosed technologies are designed to support a wide range of applications and use cases, such as mapping, surveying, navigation, urban planning, environmental monitoring, agriculture, disaster response, and infrastructure management. Furthermore, the patent explores methods for seamless integration with existing infrastructure, software platforms, and data management systems, enabling interoperability and data sharing. Overall, this invention offers innovative solutions for efficient and scalable geospatial data collection, processing, and analysis, with potential applications across various domains.

The embodiment of the invention provides an ontology-based heterogeneous modeling language unified description method, device and equipment. According to the method, a heterogeneous modeling language used by a multi-architecture model is obtained; carrying out analysis and disassembly processing on the heterogeneous modeling language based on the element category of the multi-architecture model ontology to obtain a target element; the multi-architecture model ontology is a predefined standard semantic architecture. Mapping and storing the target element into the multi-architecture model body according to a mapping rule, and determining an element name of the target element; the mapping rule is used for indicating a corresponding relationship between the standard semantic architecture and the heterogeneous modeling language. And performing unified description on the heterogeneous modeling language according to the element names. According to the method, the interoperability and the information consistency among the models are realized by uniformly processing heterogeneous modeling languages in the multi-architecture model.

The invention relates to a packaging method for modeling and production unit combination of digital twin virtual equipment, which realizes modeling of the virtual equipment through an abstract process from top to bottom, and ensures high cohesion packaging of key attributes, states and behaviors of the virtual equipment in combination with an information hiding and uniform interface mechanism. A production unit-level combination and hierarchical packaging framework is further constructed based on the equipment model, and recursive combination and interoperation of multiple layers of modules are realized through unified station-level, production line-level and workshop-level interfaces and scheduling logic; according to the method, the modeling and packaging process of the digital twin virtual equipment is defined, the high cohesion packaging and interface uniformity of the model are highlighted, and cross-level combination and scheduling logic design are supported, so that the consistency and the implementability of the model in the system integration, evolution extension and module multiplexing processes are remarkably improved, and the modeling efficiency of the digital twin virtual equipment is improved. And universal and normalized technical support is provided for hierarchical construction and efficient deployment of virtual equipment in an intelligent manufacturing system.

An apparatus may include a receiver configured to receive a reference signal using a channel, a transmitter configured to transmit a representation relating to the channel, and a processing circuit configured to determine channel information based on the reference signal, generate, using a model, the representation based on the channel information, and transfer, using the receiver or the transmitter, model information to specify the model. The model information may include an identifier for the model. The model information may include structure information for the model. The model information may include information about a type of input for the model. The model information may include information about a format of input for the model. The model information may include mapping information for mapping channel information to an input of the model. The mapping information may include information for a first subband, and information for a second subband.

A system for intelligent automation of project processes and prediction of project progress, including: (a) an AI-driven task automation module (101) for intelligent task allocation based on expertise and workload; b) a real-time monitoring and reporting module (102) to track project progress and provide real-time insights; (c) a predictive progress analysis module(103) that uses machine learning to predict project completion and identify risks; d) an adaptive workflow management engine (104) for dynamically reconfiguring workflows in response to project changes; (e) an integration and communication interface (105) for seamless interoperability with third-party project management tools.

The invention discloses a three-dimensional scene interactive semantic segmentation method based on online feature distillation, which does not need semantic truth value data, and is characterized in that features of a pre-trained three-dimensional scene semantic segmentation large model are distilled into a three-dimensional grid for coding, and semantic features of any view angle of a three-dimensional scene are directly obtained through rendering. A three-dimensional scene semantic segmentation large model encoder does not need to be operated, and a high-quality semantic segmentation result can be obtained only by operating a decoder; the method can be used for tasks such as positioning and single object extraction based on a 3D space, and belongs to the technical field of computer vision. By adopting the technical scheme of the invention, the processing speed can be greatly improved while the semantic segmentation quality is kept.

An information integration system may include a set of integration services embodied on one or more server machines in a computing environment. The set of integration services may include connectors communicatively connected to disparate information systems. The connectors are configured for integrating data utilizing a common model comprising a content management interoperability services data model, common property definitions, and a common security model particularly defined for use by the set of integration services. Responsive to a user query to search disparate information systems or a subset thereof, an application may communicate metadata of interest contained in the user query to a search engine which locates, via a unified index, requested data from the disparate information systems or a subset thereof. The search engine returns search results referencing the requested data to the application which interprets the search results and displays a visualization thereof on a client device.

The invention discloses a cluster algorithm training evolution system and method based on system architecture model definition. A data acquisition unit acquires task targets and task resources; the system architecture unit analyzes task resources according to a task target and outputs a system architecture model; the algorithm training unit carries out algorithm training according to the system architecture model and outputs a cluster decision strategy and a task allocation scheme; the simulation evaluation unit performs simulation deduction on the cluster decision strategy, evaluates the effect of the task allocation scheme and outputs a corresponding evaluation report; and the result output unit outputs the evaluation report. According to the method, firstly, functions and interfaces of various task resources are defined in a unified mode through the system architecture model, compatibility, expansibility and interoperability among different task resources can be ensured, secondly, the system architecture model and the cluster decision algorithm are combined, decision efficiency is optimized, and traceability and transparency are improved.

The invention discloses an SKTC task model data interaction association mapping transmission method, and relates to the technical field of data interaction and association mapping of a SysML design model and a Modelica simulation model. The method comprises the steps that a unified data interaction format is defined, the format and the protocol follow the FMI standard, and interoperability of the model is ensured; a mapping rule is designed, and data read-write operation between the models is achieved through an interface provided by the FMI; a data interaction interface is realized, and setting of model parameters and triggering of calculation steps are carried out through an FMI; and developing a co-simulation environment. By defining a unified data interaction format and a mapping rule, a design model and a simulation model are exported into an FMU format through a format conforming to an FMI interface standard, and are effectively integrated in a co-simulation environment, so that the two models can be seamlessly jointed, accurate transmission of data and co-simulation of the models are realized, and the simulation efficiency is improved. And the interactivity and reusability of the model are greatly improved.

The invention discloses a multi-protocol data communication method and system for an intelligent building, and relates to the technical field of data communication. A multi-protocol data communication system for an intelligent building comprises a communication scene construction module, a communication path output module and a communication data optimization module. According to the method, the semantic relay body is constructed for various heterogeneous building communication devices, ternary mapping of communication behavior intentions, service interfaces and protocol instructions is completed, a unified semantic neutral expression mode is formed, devices originally adopting different protocols can achieve interoperability based on unified semantics, and the interoperability of the devices is improved. The expandability and the compatibility in a protocol heterogeneous environment are obviously improved; by generating the optimal path and the adaptation strategy, the communication bottleneck problems such as network congestion, equipment response failure or overhigh energy consumption are effectively avoided, and the robustness and the task success rate in the fluctuation environment are improved.

The embodiment of the invention discloses a data processing method and an industrial system, and relates to the technical field of industrial computing. The method is applied to an industrial system, and the industrial system comprises a computing device. The method comprises the following steps: acquiring equipment information of first industrial equipment; generating a first protocol mapping rule based on the type of the first industrial protocol and the interface description information; wherein the first protocol mapping rule is different from a second protocol mapping rule corresponding to the type of the second industrial protocol; and obtaining source data, and converting the source data into a target format based on the first protocol mapping rule to obtain corresponding target data. In the application, the first protocol mapping rule is generated based on the type of the first industrial protocol and the interface description information, and the new protocol mapping rule is dynamically generated in response to the newly accessed first industrial protocol in the industrial system, so that dynamic interoperation of multiple protocol devices is realized, the protocol adaptation efficiency is improved, and the user experience is improved. And the overall flexibility of the system is improved.

The invention discloses an electric power large model agent operation evaluation method and system. The method comprises the following steps of performing mathematical modeling on pile body behaviors of an electric power large model agent; based on the obtained mathematical modeling, carrying out constraint verification on the behaviors of the large model agent; according to mathematical modeling and verification constraints, constructing an electric power large model agent operation and evaluation system; based on an electric power large model intelligent agent operation and evaluation system, parallel interaction with the intelligent agent is carried out, and evaluation of electric power large model intelligent agent operation is completed. According to the method, through unified architecture design and test benchmark, the development and deployment threshold is reduced, an interoperability basis is provided for intelligent agent cooperation in an electric power scene, and the intelligent degree of operation management application of an electric power enterprise is improved.

An information integration system may include a set of integration services embodied on one or more server machines in a computing environment. The set of integration services may include connectors communicatively connected to disparate information systems. The connectors are configured for integrating data utilizing a common model comprising a content management interoperability services data model, common property definitions, and a common security model particularly defined for use by the set of integration services. Responsive to a user query to search disparate information systems or a subset thereof, an application may communicate metadata of interest contained in the user query to a search engine which locates, via a unified index, requested data from the disparate information systems or a subset thereof. The search engine returns search results referencing the requested data to the application which interprets the search results and displays a visualization thereof on a client device.

Methods, computer systems, and computer-storage medium are provided for providing closed-loop intelligence. A selection of data is received, at a cloud service, from a database comprising data from a plurality of sources in a Fast Healthcare Interoperability Resources (FHIR) format to build a data model. After a feature vector corresponding to the data model is extracted, a selection of an algorithm for a machine learning model to apply to the data model is received. A portion of the selection of data is utilized for training data and test data and the machine learning model is applied to the training data. Once the model is trained, the trained machine learning model can be saved at the cloud service, where it may be accessed by others.

The present invention relates to the technical field of crimping machine feeding devices, and discloses a fully automatic feeding device for a crimping machine for automobile wiring harness plug-in terminals, wherein a storage mechanism is provided at one end of the mounting base, and terminals are stored in the storage mechanism, and a flexible vibration plate is fixedly installed at one end of the mounting base near the storage mechanism, and the storage mechanism can drop the terminals to the top of the flexible vibration plate under the control of a control computer, and the flexible vibration plate can drive the terminals to vibrate at the top of the plate under the control of a control computer. The fully automatic feeding device for the crimping machine for automobile wiring harness plug-in terminals drives the terminals to vibrate through the flexible vibration plate, so that the terminals are evenly distributed on the top of the flexible vibration plate, and visually inspects the terminals through a CCD camera to determine the coordinate information and placement status of the terminals, and the control computer controls the actions of the three-axis moving module 1 and the three-axis moving module 2 according to the terminal position information, grabs the terminals, and alternately feeds the crimping machine.

The invention provides a message intercommunication method and system, an electronic device, a storage medium and a program product, relates to the technical field of communication, and can realize whole network communication of industry message services in 5G messages, reduce and simplify development and docking work, and improve the operation efficiency of industry messages in the 5G messages. The method comprises the following steps: acquiring a first message from a MaaP platform of a first operator; the calling user of the first message is an industry user belonging to the first operator; sending the first message to a MaaP platform of a second operator through a second intercommunication device under the condition of determining that the called user of the first message belongs to the second operator, so that the MaaP platform of the second operator sends the first message to the called user of the first message; wherein the second intercommunication device is connected with a MaaP platform of a second operator.

Embodiments herein relate to data management and, more particularly, to collecting data from a plurality of sources, and linking the collected data to derive information and knowledge. The method includes defining at least one data model and asset by including data models, vocabulary, data quality rules, data mapping rules for at least one of, a particular data industry, a data domain, or a data subject area, importing data from a plurality of data sources, performing de-duplication of the imported data and data profiling of the imported data, and creating linked data either by semantic mapping, or by curating the data.

Methods and articles of manufacture for hosting a safety critical application on an uncontrolled data processing device are provided. Various checks and combinations of checks including installation, functional, host integrity, coexistence, interoperability, power management, and environment checks are performed at various times to determine if the safety critical application operates properly on the device. The operation of the SCA on the UDPD may be controlled accordingly.

The invention provides a monitoring method based on blade rotation sound and equipment for auxiliary monitoring, and the method comprises the steps: capturing weak airflow disturbance sound wave signals generated during the rotation of blades of a wind driven generator through a non-contact acoustic sensor array, and carrying out the standardization preprocessing of the captured sound wave signals; the method comprises the following steps: performing dynamic filtering processing on environmental noise of sound wave signals, integrating acoustic sensor data from different positions to form a comprehensive sound image, applying deep learning to model and predict the health condition of a blade, and integrating edge calculation, so that a part of data processing tasks are completed in a place close to an acoustic sensor; the Internet of Things platform is adopted to realize interconnection and intercommunication between equipment, implement a cloud edge collaborative optimization mode and automatically allocate tasks to the most appropriate processing node, sensors do not need to be installed on the blades, physical influences on the equipment are avoided, environmental noise is effectively filtered out, the signal-to-noise ratio of target sound wave signals is increased, and therefore the monitoring precision is improved.

The embodiment of the invention provides a system platform and heterogeneous model decoupling method and device, computer equipment and a medium, and relates to the technical field of computer software, the method comprises the following steps: obtaining metadata from each heterogeneous model, analyzing the metadata, and extracting a public data structure and attribute; a standardized heterogeneous model data structure is constructed, and a public data structure and attributes provide basic fields and data types for the standardized heterogeneous model data structure; based on the standardized heterogeneous model data structure, uniformly packaging the heterogeneous model; and constructing a driving module with a uniform data interface, and performing data interaction between the packaged heterogeneous model and a system platform through the driving module to realize simulation cooperative operation. According to the scheme, the overall complexity and maintenance difficulty of the system are reduced, and the flexibility and interoperability of the system are improved.