466 results about "Interoperation" patented technology

The invention relates to the technical field of operation and maintenance management and control, and discloses an intelligent building remote operation and maintenance management and control system based on a large model and a cloud edge collaborative architecture, and the system comprises a configuration subsystem which is used for carrying out the reverse proxy and persistent connection configuration of edge gateway equipment in an intelligent building, and obtaining a TLS encryption bidirectional communication channel; the construction subsystem is used for constructing a cloud-edge-end three-layer cooperative computing architecture; the conversion subsystem is used for performing unified semantic abstraction and conversion on the heterogeneous protocol data to obtain semantic data in a standard JSON (JavaScript Object Notation) format; the rule processing subsystem is used for performing rule processing through a near-end decision engine of the edge gateway to obtain a local intelligent response result; the multi-dimensional analysis subsystem is used for carrying out multi-dimensional analysis through a cloud large model engine to obtain an equipment health score, a fault prediction result and an energy optimization strategy, seamless fusion and interoperation of heterogeneous system data are achieved through the system, and then global optimization and linkage control of the intelligent building are achieved.

The invention discloses a digital asset secure transaction system and method based on a block chain, and belongs to the cross field of block chain technology and financial science and technology. The system adopts a layered architecture design and comprises an intelligent contract execution layer, a distributed account book storage layer and a cross-chain interaction layer. The transaction method comprises the following steps: generating a digital identity certificate based on asymmetric encryption, and realizing privacy protection through zero-knowledge proof; a secure transaction channel is constructed by adopting a multi-signature mechanism, and sensitive data processing is performed in combination with a trusted execution environment; and designing a dynamic fragmentation strategy to optimize the transaction throughput, and establishing an on-chain and off-chain collaborative verification mechanism. The innovation point is that a double-layer verification model combining a verifiable delay function and a threshold signature is provided, and millisecond-level confirmation is realized while the transaction irreversibility is ensured. The system supports multi-chain asset atomic exchange, and interoperability of different block chain networks is realized through a heterogeneous cross-chain gateway. The scheme has the characteristics of high transaction confirmation speed, high privacy protection level and high system expansibility.

Disclosed herein are systems and methods for enabling decentralized, schema-driven interoperability across distributed computing environments through the use of a Standard Knowledge Language (SKL). An Enterprise Mesh Platform (EMP) interprets and executes SKL specifications—such as capabilities, objects, mappings, policies, and workflows—as composable, machine-interpretable contracts that define data structures, logic, and governance protocols. The system supports dynamic versioning, validation, semantic linking, and recursive execution of SKL-defined components. A mesh-wide analytics server coordinates execution, issue detection, and resolution propagation. Capabilities can be orchestrated, remediated, and adapted in real-time based on SKL-defined relationships, while preserving compliance and traceability. The disclosed architecture facilitates federated development, adaptive system integration, and fine-grained policy enforcement across complex digital ecosystems.

The invention discloses a metadata real-time self-adaptive standardization system for multi-field data sharing. The metadata real-time self-adaptive standardization system comprises a metadata information layering module, an intelligent information acquisition module, a real-time self-adaptive standardization module and a visual management module, the metadata information layering module identifies sources of various metadata, and sequentially performs cleaning, classification and layering preprocessing on the metadata; the intelligent information acquisition module uniformly acquires metadata information and converts the acquired data into standardized intermediate representation; the real-time adaptive standardization module is used for realizing rule dynamic adaptation and real-time optimization in a metadata standardization process, is internally provided with a dynamic rule library, is used for storing dynamically generated metadata mapping rules and supports automatic loading, updating and semantic extension of the rules; and the visual management module realizes management, analysis and dynamic adjustment of metadata through a visual interface. The method is high in accuracy of processing unknown data, can adapt to different data scenes in real time, and is high in semantic interoperation capability.

The invention provides a collaboration method and system for enhancing interoperability of AI agents. The collaboration method comprises the steps that S1, the agents are described through structured metadata; s2, decomposing the target task; s3, extracting capability types required by all the sub-tasks according to all the sub-tasks, broadcasting the capability types required by all the sub-tasks, and screening to obtain intelligent agents meeting the capability types required by the sub-tasks; s4, comprehensively scoring the multiple agents corresponding to each sub-task obtained through screening, and screening the agent with the highest score as an executor of the current sub-task; s5, screening a minimum candidate agent subset according to all agents corresponding to all screened subtasks, so that a union set of capabilities of the minimum candidate agent subset can completely cover the total demand of the target task; and S6, based on the current minimum candidate agent subset, executing and finishing the target task according to the dependency relationship among all the sub-tasks.

The invention relates to a biological information MCP service calling method, system and device and a medium, and relates to the technical field of bioinformatics and artificial intelligence. The method comprises the steps of obtaining user request information; querying MCP service information matched with the user request information based on the user request information; building enhanced prompt information corresponding to the MCP service information which contains the user request information and is matched with the corresponding user request information, and sending the enhanced prompt information to the large language model to generate calling parameters; and calling the target biological information MCP service based on the calling parameter. The automatic discovery of the MCP service is realized, and the expandability and the flexibility of the system are improved; the user intention can be more accurately understood, and the tool discovery accuracy is improved; an MCP specification is used for assisting LLM to accurately generate calling parameters, and the use threshold of a user is lowered; interoperability and expandability are ensured based on an MCP protocol; and a large-scale biological information MCP service scene is effectively supported.

The invention discloses an SSL VPN security gateway communication method fused with a post quantum cryptography technology. Comprising the following steps: S1, a client and a server respectively configure a serial hybrid signature digital certificate containing an SM2 algorithm and a serial hybrid encryption digital certificate containing a PQC algorithm, and a corresponding PQC encryption key pair private key, a PQC signature key pair private key, an SM2 encryption key pair private key and an SM2 signature key pair private key; s2, newly adding a hybrid algorithm password suite using an SM2 algorithm and a PQC algorithm in a password suite list of the client, and forcibly jacking the priority of the hybrid algorithm password suite; and S3, a message structure in a handshake protocol is transformed to use a series hybrid encrypted digital certificate to realize that PQC algorithm processing is added on the basis of an original national cryptographic algorithm to realize quantum key negotiation resistance. According to the method, the PQC algorithm is added on the basis of the original national secret algorithm, and the handshake protocol is transformed, so that anti-quantum-attack key agreement and identity authentication can be realized, the communication security is remarkably improved, and meanwhile, the interoperability with the standard SSL VPN is kept.

Systems, methods, and apparatus are disclosed for omnimodal sensing, data fusion, and autonomous decision-making across physical and digital domains and further integrates a Multimodal Diagnostic System (MDS) and Impairment Recognition and Intervention System (IRIS) with defense architecture or a system architecture that can be compliant with the Modular Open Systems Approach (MOSA) and Sensor Open Systems Architecture (SOSA) to ensure interoperability. The system can utilize real-time multisensory fusion, cryptographic provenance via blockchain, and resilient magnetoelectric communication to support mission-critical decision-making across manned and unmanned platforms in denied or contested environments.

The invention relates to the field of copyright authentication of non-perpetual culture elements, and discloses a block chain copyright authentication method for non-perpetual culture elements, which comprises the following steps: S1, performing multi-dimensional data acquisition through a distributed storage system, performing structured data acquisition and feature coding on the non-perpetual culture elements, and storing the structured data in a database; comprising the following steps: multi-modal data fusion acquisition, dynamic metadata standardization processing, and generation of unique digital identifiers and cultural feature codes; and S2, constructing a hybrid block chain architecture, constructing a hierarchical network architecture comprising a permission chain layer and an open chain layer, and realizing heterogeneous chain data synchronization through a cross-chain interoperation protocol. Through multi-modal data acquisition and dynamic metadata structured processing, the spatial form, the process time sequence and the oral context of non-residual elements are completely recorded, digital twin bodies with microscopic details and semantic association are formed, the problem of fragmentation of traditional archiving is solved, and a unique block chain identifier and two-way index mapping are combined, so that the method is simple and convenient to implement. And the originality of the cultural heritage in virtual restoration and cross-domain propagation is ensured.

A system for the adaptive orchestration of LLM-driven agents across multi-domain workflows, including: an orchestration module configured to dynamically assign tasks to LLM-driven agents based on contextual understanding, workload distribution, and domain expertise; a multi-agent collaboration module configured to enable seamless communication between multiple LLM-driven agents to exchange task-related information, reduce redundancies, and optimize workflow execution; a real-time decision-making module configured to use machine learning algorithms to evaluate task priority, user intent, and operating conditions to enable adaptive workflow adjustments; an optimization module based on reinforcement learning, configured to continuously refine task delegation rules and workflow strategies based on historical task performance and feedback; a monitoring and analysis module configured to provide real-time insights into the performance of the AI ​​agent, task completion times, and workflow efficiency via visual dashboards; an integration layer that enables seamless interoperability with third-party enterprise systems, APIs, databases, and AI services to ensure cross-domain applicability; and a security and compliance module configured to include access control mechanisms, data encryption, and monitoring of compliance with legal regulations to ensure secure and legally compliant AI operations.

The invention belongs to the technical field of logistics information, and discloses a multimodal transport trusted data space construction method based on privacy calculation and a block chain. The method comprises the following steps: deploying a modular intelligent data gateway at a core node of a multimodal transport line, unifying the format of multi-source heterogeneous original data, and chaining a hash value; after the multi-source heterogeneous data is subjected to customization processing, key metadata attributes of all the data are registered and linked in real time; constructing a core ontology model, and establishing a cross-domain semantic interoperation capability; establishing a privacy calculation and block chain collaborative dual-channel architecture, and cooperatively training an ETA prediction model in a local data isolation environment by adopting transverse federal learning to ensure that original trajectory data is not out of a domain; constructing a dispute arbitration and credible verification system, and realizing an arbitration process of judicial verification when a transportation dispute occurs; data minimization disclosure and compliance sharing are achieved through dynamic access control. According to the method, multimodal transport data can be available and invisible, and the whole operation process can be audited.

The invention discloses an aero-engine system demand servitization collaborative management method, which comprises the steps of constructing a semantic mapping rule of an aero-engine demand document based on an OSLC specification, and converting an unstructured document into a standardized data model; standardized access of elements in the demand document is achieved through resource identification and a servitization interface, and a Web-based demand document interoperation mechanism is constructed; multidisciplinary collaborative design is carried out based on a demand document interoperation mechanism, and a demand document is updated in real time to form a complete design demand document; constructing an intelligent change analysis mechanism based on project tracking to realize multi-version comparison and change propagation path visualization of the design requirement document; constructing a fine-grained version evolution and conflict management mechanism based on the demand entry influence network, and executing demand version merging and conflict automatic detection in a parallel development scene; according to the method, aero-engine system demand document entry level collaborative editing and standardized service interface can be realized, and the development efficiency is remarkably improved.

The invention discloses a data component encapsulation construction method based on a standardized description model, and provides a new data encapsulation normal form of data components. According to the method, a standardized encapsulation model and a protocol system are constructed around a data component, and the semantics, the structure and the operation of heterogeneous multi-source data are subjected to standardized encapsulation by adopting a unified identifier, metadata, data routing and interface structure; lightweight packaging is carried out based on a JSON format, and a unified access interface is provided through RESTful API, DOIP and other protocols; a Handle system is introduced to realize globally unique data component identification, and dynamic addressing and analysis access of the data component identification are supported; a data component registration publishing mechanism is constructed, metadata registration, index management and identification mapping of the data component are supported, and efficient discovery, acquisition, sharing and integrated utilization of the data component among multiple systems and multiple subjects are ensured. Meanwhile, a component interoperation and scheduling mechanism oriented to a cross-domain circulation scene is provided, and data management is promoted to be transformed into a loose-coupling, autonomous and orchestrable new normal form.

The invention provides a personalized health monitoring method based on multi-instrument data fusion, and aims to solve the problems of non-uniform data standards and poor interoperability of existing multiple health monitoring devices. According to the method, a data standardization protocol is automatically selected and optimized according to data characteristics (such as sampling frequency, data precision and the like) of different devices (such as oximeters, sleep monitors and the like) through a machine learning algorithm, and seamless fusion of data between the devices is ensured. Different from a traditional static data processing mode, the scheme not only improves the collaboration efficiency among the devices, but also effectively solves the problems of inconsistent data formats and information loss. For different types of data generated by multiple devices, a data fusion strategy is automatically identified and optimized by adopting an intelligent fusion algorithm based on deep learning, and information conflict or delay caused by mismatching of data features is avoided.

The invention relates to a distributed storage and synchronization system based on a block chain, and belongs to the technical field of distributed file storage. The system comprises a node management module, a data fragmentation and distributed storage module, a consensus mechanism module, a data synchronization module, a cross-chain interaction module, a client interaction module and a decentralized node network. By optimizing a consensus mechanism and introducing a fragmentation technology and a cross-chain technology, the problems of expansibility and consistency of an existing system are solved, and interoperability between different block chain networks is realized. The system has high expandability and flexibility, supports access of various block chain network protocols and intelligent contract standards, and is easy to popularize and apply.

The invention discloses an enterprise carbon emission management system based on a block chain technology. The enterprise carbon emission management system comprises a carbon emission data storage module, a carbon emission quota distribution module and a carbon emission cross-regional transaction module. The method has the advantages that the data processing efficiency and the intelligent analysis capability of the system under different time dimensions are enhanced through time weighting, dynamic compression and environmental data embedding on the carbon data storage and management level. The intelligence, the flexibility and the fairness of enterprise carbon quota allocation are ensured by utilizing a dynamic quota allocation algorithm through adaptive learning, game theory optimization and a market feedback mechanism, and the method adapts to continuously changing carbon markets and enterprise behaviors. A cross-regional carbon transaction mechanism is established, and through automatic execution of an inter-chain interoperation protocol and an intelligent contract, the current situation of isolation of carbon transactions in different regions is broken, and global carbon transaction market integration is realized. The mechanism improves the transaction transparency and the market efficiency, and promotes the development and standardization of the carbon transaction market.

The invention belongs to the technical field of GPUs, and particularly relates to a heterogeneous GPU system and a data transmission method.The heterogeneous GPU system comprises an access interface module and a data transmission module; the access interface module is used for packaging native memory management interfaces of different GPUs and providing consistent memory access interfaces; a GPU memory transmission interface is designed on the basis of unilateral semantics of libibverbs; the data transmission module is used for realizing direct data transmission of a remote heterogeneous GPU memory by using GDR and RDMA transmission primitives; double data buffer areas are arranged, a sender and a receiver respectively maintain two data buffer areas residing in a GPU memory, and the buffer areas are distributed through a unified GPU memory access interface. The method has the advantages that a unified video memory operation interface and a communication interface are designed, and video memory interoperation between heterogeneous GPUs is supported.

The invention discloses a multi-device behavior interoperation verification system and method based on an Internet of Things platform, and relates to the technical field of Internet of Things, and the method comprises the steps: collecting the operation state data and interaction behavior data of each device in real time according to the device interoperation demand of the Internet of Things platform; establishing an equipment behavior prediction model, and constructing a state transition equation of the equipment; according to the equipment operation state data and the interaction behavior data, verifying an interoperation consistency index of the multi-equipment behavior, and calculating an equipment behavior deviation coefficient; when the behavior deviation coefficient exceeds a preset threshold value, generating an equipment interoperation abnormal alarm, and positioning an abnormal interaction node; a three-dimensional dynamic model of the Internet of Things equipment is established through a digital twinning technology, and a multi-equipment behavior interoperation verification result and abnormal early warning information are displayed in real time. The method has the advantages that the problem of state transition consistency verification in multi-device behavior collaboration is mainly solved by constructing a dynamic matching mechanism of the device state transition equation and the operation state feature library.

Disclosed herein are systems and methods for enabling decentralized, schema-driven interoperability across distributed computing environments through the use of a Standard Knowledge Language (SKL). An Enterprise Mesh Platform (EMP) interprets and executes SKL specifications — such as capabilities, objects, mappings, policies, and workflows — as composable, machine-interpretable contracts that define data structures, logic, and governance protocols. The system supports dynamic versioning, validation, semantic linking, and recursive execution of SKL-defined components. A mesh-wide analytics server coordinates execution, issue detection, and resolution propagation. Capabilities can be orchestrated, remediated, and adapted in real-time based on SKL-defined relationships, while preserving compliance and traceability. The disclosed architecture facilitates federated development, adaptive system integration, and fine-grained policy enforcement across complex digital ecosystems.

The invention belongs to the technical field of intelligent transportation, and particularly relates to a multi-vehicle alliance collaborative path decision method based on interoperation, which comprises the following steps: acquiring scene information; acquiring a temporary terminal point of the gaming vehicle; grouping the vehicles according to the temporary terminal points of the game vehicles and the current positions of the game vehicles to form sub-communities; obtaining the strategy action of each vehicle in the sub-community, and adjusting to obtain the state of the sub-community; based on the adjusted sub-community state, obtaining the road section duration when all vehicles in the sub-community arrive at the temporary destination; based on the road section duration and the intersection time consumption, calculating the income of the strategy action corresponding to the sub-community and the average income until the sub-community state corresponding to the optimal income is obtained; establishing an ordinary differential equation based on the earnings of the policy actions corresponding to the sub-communities, the average earnings of the policies and the states of the sub-communities, solving by using a fourth-order Runge-Kutta method, and converging to a stable point capable of reaching a Nash equilibrium state; and distributing the route of the vehicle based on the sub-community state corresponding to the Nash equilibrium state.

The techniques disclosed herein provide a system for condensing large log files to enable interoperability with transformer-based large language models in automated failure analysis. In various contexts such as enterprise cloud services, log files can be large oftentimes containing millions of lexical units that can incur significant processing time and resource consumption. As such, the disclosed techniques provide a system for producing a directional knowledge graph representing a condensed form of a log file for automated failure analysis. Firstly, the log file is preprocessed to filter information that is irrelevant to the failure that previously occurred. The filtered lexical units are then used to generate a directional knowledge graph comprising a plurality of vertices which correspond to individual lexical units, and which are connected by edges representing the semantic connection between the lexical units. In this way, the directional knowledge graph significantly reduces processing times and improves resource consumption.

The invention discloses a high-voltage SVG real-time harmonic detection and compensation system based on edge calculation, and belongs to the technical field of power equipment. The method comprises the steps of S1, enhancing environment perception and self-adaptive capability, S2, constructing a distributed cooperative control system, S3, improving robustness and self-healing capability of the system, S4, enhancing robustness and anti-interference capability of an algorithm, S5, managing intelligent edge computing resources, and S6, improving interoperability and standardization of equipment. The step S1 of enhancing the environment perception and self-adaptive capability comprises power grid topology intelligent identification, load characteristic online learning and multi-harmonic source cooperative suppression. Through localization processing and an efficient algorithm of the edge calculation unit, the harmonic detection delay is shortened, the compensation response time is shortened, compared with a traditional method, the harmonic compensation method has obvious improvement, harmonic changes in a power grid can be responded more quickly, the harmonic compensation precision is improved, and harmonic pollution in the power grid can be eliminated more accurately.

The invention discloses a demand tracing method based on an OSLC standard. The method comprises the following steps of S1, developing a demand software adapter; s2, developing a modeling software adapter; s3, designing a client application to obtain and display data; s4, establishing a traceability relationship between the demand and the model; step S5, realizing query and visual display of the traceability relationship; and S6, demand change influence analysis is realized. According to the method, the OSLC standard is fully utilized, seamless integration of heterogeneous tools can be realized without large-scale transformation through data standardization of the demand software and the modeling software, the universality and interoperability between the tools are greatly improved, the implementation cost is effectively reduced, the bidirectional tracing capability between the demand and the model is provided, and the method is suitable for popularization and application. The demand integrity and the model consistency are ensured, and the quality management capability in the system development process is remarkably improved.

The invention relates to the technical field of information security, discloses a realization method of an electronic signature of a customs business scene and a seal management system, and aims to solve the problems of trust centralization, easy data tampering, difficult traceability, poor business adaptation and insufficient interoperability of an existing electronic signature. According to the method and the system, a distributed account book technology is introduced, decentralized creation and registration, signature generation and verification, life cycle management and on-chain recording of auditing and tracing of the electronic seal are realized, a dynamic and configurable business scene strategy engine is constructed, a customs business process is flexibly adapted, and high safety, high efficiency and high adaptability are ensured. According to the method, a decentralized trust basis is established, the tamper-proofing capability and efficiency are improved, full-chain auditing traceability and cross-mechanism interoperation are realized, and data security is guaranteed.

The invention discloses a cross-switch access authentication method for multi-network-port link aggregation, and solves the problems that the existing cross-switch aggregation depends on an LACP (Link Aggregation Control Protocol) or a manufacturer private protocol, the interoperability is poor and a single-point fault occurs. The system comprises a host and a switch, the host is provided with an authentication client, a logic aggregation interface, a physical interface, a state recording and retry module and a data transmission module, and the switch is provided with an access control module. According to the method, a plurality of physical interfaces are aggregated into a logic interface bond0 through static configuration at a host end, and a service IP is configured; and independently operating an authentication client on each physical interface, executing EAP-TLS authentication, and sending a message from the corresponding interface. The interface state is recorded during initialization, if an unauthenticated interface is found, retry is immediately carried out, and meanwhile forwarding of other authenticated links is kept; when the link or the switch fails, the bond0 is automatically switched to other effective links; when the authentication session expires, the host initiates re-authentication, ensuring session continuity.

The invention relates to the technical field of substation secondary equipment testing, and discloses a secondary equipment testing method, device and equipment based on a generative large model. The method comprises the steps that test requirements of different signal specifications are obtained, test cases are generated through a test case generation model according to standard signals, and the standard signals are obtained based on standard signal model classification and represent the signal specifications followed by different transformer substations and / or different secondary devices; the standard signal model is configured to identify a common property between device signals of different signal specifications to form a standard signal; and carrying out collaborative testing by adopting the test case to form a test result. According to the method and the device, the common property between equipment signals of different signal specifications is identified through the standard signal model to form the standard signal, and then the test case of the collaborative test is generated by the standard signal, so that the test collaboration, interoperability and test efficiency between transformer substations and / or secondary equipment of different signal specifications are improved.

The invention discloses a multi-level key dispersion method supporting tunnel electromechanical system cross-domain interoperation. The method comprises the steps that a trusted center generates a non-singular elliptic curve parameter, a system main private key and a system public key and then issues a public parameter; safely distributing to the tunnel electromechanical equipment through the tunnel management center; the tunnel electromechanical equipment combines a traceable identifier, a provincial domain identifier, a city domain identifier and a tunnel identifier to construct a dispersion factor; based on a dispersion factor, a part of private keys and a self-selected private key of the equipment, a unique session key and an authentication key are derived through a national cryptographic hash function to realize strong binding between the key and the physical position and management attribution of the equipment; according to the method, the device key is strongly bound with the physical position and the management attribution of the device key through the hash function, the problems of identity mutual trust and risk isolation in cross-domain interoperation are solved, the calculation and communication overhead of resource-limited industrial devices is reduced, and the problem of high-performance security protocol application of embedded devices is solved.

Modem datacenters require flexible interconnect solutions that bridge diverse protocol domains while maintaining compatibility with existing infrastructure. Embodiments herein disclose semiconductor devices that implement protocol translations and physical address translations within IC packages conforming to the PCIe Retimer Supplemental Features and Standard BGA Footprint Specification. The devices comprise first and second interfaces communicating according to first and second protocols respectively, with an embedded computer that extracts physical addresses from messages received via the first interface, translates these addresses, and generates messages carrying the translated addresses for transmission via the second interface. This retimer-compatible form factor essentially enables drop-in deployment within existing PCIe and cabling infrastructures while providing protocol bridging and address translation capabilities. The standardized BGA layout provides high-speed differential signaling suitable for low-latency address translation, optionally supporting memory disaggregation, host-to-host memory sharing, accelerator integration, and protocol conversion between CXL, UALink, NVLink, and / or PCIe domains, addressing interoperability challenges.

The application provides a format standardization method for network security threat intelligence sharing, and relates to the technical field of network security. The method comprises the following steps: constructing a mapping table based on field names and attribute names and outputting a mapping dictionary; reading multiple formats of intelligence data uploaded by users and converting the intelligence data into a two-dimensional table; performing data format checking and conversion based on the mapping relationship, and creating multiple SCO objects; filling the SCO objects into AttackPattern and ObservedData objects for serialization, generating threat intelligence conforming to the STIX format; and outputting a JSONL format file and naming the file according to a hash value. The application realizes the automatic and standardized conversion of multi-source heterogeneous threat intelligence data, improves the data interoperability and sharing efficiency, and enhances the network security defense capability.