72 results about "Data interoperability" patented technology

The invention relates to the technical field of vehicle-mounted communication, and discloses an intelligent identification and conversion method for a heterogeneous vehicle-mounted connector protocol. According to the method, after a vehicle-mounted connector is connected, preset disturbance signal sequences are sequentially injected, response behaviors of the preset disturbance signal sequences in a signal channel are recorded, and a corresponding response sample set is constructed by analyzing response level, time delay and feedback data. The system further archives and encodes the sample set, generates a disturbance response behavior track containing state jump characteristics, and reasones a communication protocol type and a corresponding state driving factor through track comparison. On the basis, a field stable region and a boundary change mode are extracted, a protocol adaptive sampling rule is generated, then real-time segmentation and extraction are carried out on subsequent communication data, and a standardized data frame is constructed. Finally, data format reconstruction and semantic conversion among heterogeneous vehicle-mounted protocols are realized, and communication compatibility and data intercommunication capability among various connectors are improved.

The invention provides an intelligent education resource sharing and authority management system based on a block chain, and belongs to the technical field of intelligent education, and the system comprises a block chain network layer, a resource right confirmation module, an intelligent contract module, a distributed storage network, a cross-chain interaction gateway and a dynamic optimization module, comprising a resource authentication chain, an authority management chain and a cross-chain interaction chain, and the chains realize data intercommunication through relay nodes; the resource right confirmation module adopts a three-level Hash nested structure to generate a non-tampering digital fingerprint, and binding and uplink the educational resource metadata and the creator DID; the intelligent contract module comprises a dynamic authority management contract and a resource transaction contract, and supports an access control strategy based on context awareness. According to the intelligent education resource sharing system, the core problems that the right of the education resources is difficult to confirm, the sharing efficiency is low, and the right management is inflexible are solved, and the safe, intelligent and extensible intelligent education resource sharing system is constructed.

The invention relates to the technical field of geological analysis, and discloses a method for fusing a three-dimensional geological model and a WebGIS (Web Geographic Information System), aiming at solving the problems of poor data intercommunity, limited spatial analysis capability, difficulty in real-time updating and low model loading efficiency of the existing method, and the scheme mainly comprises the following steps: extracting geological model data, and carrying out standardized format processing; lightweight processing is carried out, and geological attributes and model nodes are bound one by one; the format is converted into a binary format embedded with a metadata label, and data integrity verification and automatic error correction are carried out in the conversion process; constructing a non-uniform adaptive octree spatial index, a multi-level attribute data architecture and a real-time updating mechanism of attribute data; after the geological model and the terrain are precisely registered and fused, a dynamic loading mechanism, a high-performance rendering mechanism and a geological model real-time updating mechanism are constructed, and a three-dimensional geological analysis tool is integrated. According to the method, efficient loading, real-time rendering, dynamic updating and spatial analysis of the three-dimensional geologic model in the WebGIS are realized.

The invention relates to the field of community old-age care, and discloses a community old-age care-oriented medical-care-and-care-combined data intercommunication and service coordination system, which comprises a sensing module used for acquiring physiological data of old people, old-age care service data, environment data and service demand information to form multi-modal information; the network module is used for carrying out multi-modal information transmission, protocol conversion and edge calculation preprocessing to obtain processed data; and the data module is used for constructing a standardized data lake according to the processed data by adopting a unified data standard and a main data management technology, and carrying out fusion storage, treatment and safety protection to obtain multi-source information. Multi-modal information is collected to provide a data basis for cross-mechanism cooperation, data transmission and preprocessing are performed, and a standardized data lake is constructed through a unified data standard and main data management, so that medical institutions, pension institutions and community grids can share global data such as health states, service records and the like of old people in real time.

The invention provides a medical platform management system, and relates to the technical field of medical health. Comprising a multi-source heterogeneous data intelligent acquisition module, the multi-source heterogeneous data intelligent acquisition module is connected with an external system through a distributed data acquisition framework and collects and integrates multi-source heterogeneous data, and the multi-source heterogeneous data comprises but is not limited to medical text data, multi-modal medical image data and real-time medical sensor data; aiming at the problem, the multi-source heterogeneous data intelligent acquisition module designs an intelligent data interface adapter, supports multiple medical data transmission protocols such as RESTAPI, HL7FHIR, DICOM and the like, realizes data standardized mapping through an efficient data conversion engine, solves the problem of cross-mechanism and cross-system data intercommunication in a medical body, and improves the data transmission efficiency. And a foundation is laid for realizing real medical integration.

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.

The invention relates to the technical field of nursing data management, and particularly discloses a nursing data management optimization method and system for a brain tumor patient, which is used for performing structured conversion and FHIR format standardization processing based on a multi-dimensional rule on vital sign data and electronic medical record data of the brain tumor patient. Therefore, the consistency of data formats is ensured. For medical image data of a patient, a large model technology is particularly introduced to carry out automatic structured description on a medical image, through image feature extraction and semantic segmentation based on deep learning, morphological features and a spatial distribution mode of a focus are identified, a structured image description text is generated, and FHIR format conversion is further completed. Finally, unified access, storage, query and analysis of vital sign data, electronic medical record records and medical image reports are achieved by deploying an integrated server meeting the FHIR standard. According to the method, the integration level of nursing data can be remarkably improved, information islands are broken, and data interoperability is improved.

The invention, which belongs to the technical field of data processing, relates to an intelligent convenient gravel aggregate transaction system comprising a user interaction layer used for receiving a user instruction and displaying information; the cloud intelligent central layer is in communication connection with the user interaction layer and is used for performing intelligent calculation, data collaboration and safety control; and the full-link system docking layer is in communication connection with the cloud intelligent center layer and is used for realizing data intercommunication with an external service system. Through technology fusion of AI, the block chain and the Internet of Things and whole-process collaborative design, information islands are eliminated, automatic closed loop of the whole transaction process and whole quality traceability are guaranteed, and the transaction risk is reduced.

A multi-dimensional data processing system is disclosed for the automated ingestion, normalization, and computational mapping of project data across spatial, temporal, and regulatory dimensions. The system operates by ingesting diverse datasets—including two-dimensional schematics, three-dimensional data models, cost structures, and workforce logistics—and normalizing them within a unified schema. A dimensional calculations model enables the system to computationally align normalized data with spatial zones, project phases, and operational constraints, structuring it for further computational processing. By integrating this mapped data within a coordinated digital environment, the system applies task sequencing and resource allocation algorithms, generating optimized project plans that support complex, multi-dimensional data interoperability. The structured data is further configured for display through an interactive visualization interface, allowing computational resources to facilitate real-time analysis and adaptive data-driven project management.

The invention discloses an offshore wind power operation and maintenance optimization method based on a BIM data connection standard, and relates to the related field of a big data management technology, and the method comprises the steps: building a BIM data analysis platform, and deploying data collection equipment; wind power equipment parameters and environment parameters of the offshore wind power plant are collected and uploaded to the BIM data analysis platform in real time; integrating the collected data based on a BIM data connection standard, and establishing a data sharing mechanism; state visualization of offshore wind power equipment is realized through a BIM model, and fault diagnosis is realized in combination with a neural network model; comprehensively analyzing various data according to fault information output by the neural network model, and optimizing an operation and maintenance path by using an intelligent algorithm; feedback information of the BIM data analysis platform is received, operation and maintenance operation is executed, and platform configuration is optimized according to the actual execution condition. The problems that an existing offshore wind power operation and maintenance method is low in efficiency and precision are solved, and the technical effect of improving the intelligent level of offshore wind power operation and maintenance is achieved.

A system for real-time tracking of the performance and maintenance history of real estate assets, consisting of: a) a plurality of embedded sensor nodes distributed across structural, environmental and utility subsystems of a property asset, each sensor node configured to acquire localized telemetry data including at least one of the following: strain, vibration, temperature, humidity, gas concentration, occupancy, energy consumption or acoustic signal; b) a Real Estate Performance Tracking Unit (REPTU) comprising a microcontroller with embedded firmware, a real-time operating system (RTOS), a sensor interface module, non-volatile memory and a wireless communication transceiver, wherein the REPTU is operationally coupled with the sensor nodes to query, aggregate and preprocess the telemetry data; c) an edge inferencing module embedded in the REPTU, configured to perform localized anomaly detection using threshold filters and machine learning models trained on historical performance baselines, wherein the edge inferencing module generates event triggers when it detects a deviation from the nominal operating patterns; d) a secure technician authentication subsystem comprising at least a fingerprint scanner, an NFC identity tag reader or a biometric voice module integrated into the REPTU, the subsystem being configured to validate the identity of personnel during maintenance interactions; e) a maintenance ledger engine that is communicatively coupled to the REPTU and configured to generate cryptographically anchored entries representing maintenance events, each entry containing a timestamp, the technician's identity, the plant component ID, the service type, and diagnostic metadata; f) a cloud analytics platform comprising an engine for storing time-series data, an algorithm module for predictive maintenance and an interface layer for stakeholder access, wherein the platform is configured to receive encrypted telemetry and event data from the REPTU, perform long-term deterioration modeling and output maintenance plans and compliance reports; g) a role-based access control unit that enables differentiated data visibility and operating permissions for at least four categories of stakeholders: property owners, facility managers, certified technicians and regulatory authorities; h) an API interface unit configured for the integration of the system with third-party Building Information Modeling (BIM) platforms, municipal compliance registers and tenant-oriented applications, thus supporting cross-system data interoperability and contextual traceability.

The invention provides a management method and system for automatically generating standardized OT data based on a large model. The method comprises the steps that S1, an OT metadata ontology library is constructed into an OT term vector space according to standard regularized metadata meeting preset requirements; s2, mapping a natural language instruction to an OT term vector space through a large model to obtain standard structured OT data; and S3, carrying out quality verification and enhancement processing on the standard structured OT data. According to the method, the data consistency can be improved, the naming conflict in the integration process is solved through the unified cloud standard specification, and the data interoperability is remarkably enhanced; the efficiency revolution can be implemented, the data cleaning workload is effectively reduced, the qualitative change from a project system to productization is realized from traditional manpower integration, and the basic support of high-quality training data is provided for large-scale industrial deployment.

The invention belongs to the technical field of sample library management, and particularly relates to a sample library management-based operation system which comprises a management layer unit, a sample data processing unit, a retrieval unit, a safety protection unit, an interface unit and a data sharing unit. Meanwhile, data security and privacy protection are guaranteed, data sharing and cooperative work between different teams and organizations are promoted, knowledge discovery and innovation are accelerated, data standardization and consistency are guaranteed at the same time, in many fields, sample data come from different devices, laboratories, organizations or systems, data formats and standards may be different, and the data format and the data standard may be different. And the standardized sample library management system can unify the data format, the data structure and the storage mode, so that the consistency and compatibility of the data are improved.

The invention discloses a railway tunnel portal parametric modeling method based on an IFC file, and the method specifically comprises the following steps: 1, extracting three types of core parameter sets of an inner contour section, an open cut tunnel lining section and a portal member based on a railway tunnel general reference graph; 2, on the basis of the IFC file structure features and an IfCpenShell toolkit, entity elements of an inner contour, an open cut tunnel lining and a tunnel portal component are constructed in the IFC file through the python language; 3, based on the spatial assembly constraint condition of the railway tunnel portal, establishing a geometric association relationship among the three parts of entity elements, and forming an IFC file of the whole railway tunnel portal; and 4, importing the IFC file formed in the step 3 into BIM software for parametric modeling. According to the method, the problems of poor compatibility of different software and insufficient data interoperability and expansibility in the existing parametric modeling are solved.

The invention relates to the technical field of wireless communication, and particularly provides a session establishment method and device, electronic equipment and a computer program product. The method comprises the following steps: receiving a session establishment request message sent by a first network element, wherein the session establishment request message is used for requesting to establish a session channel between the first network element and a second network element; and sending a session establishment confirmation message to the first network element. According to the method for initiating session establishment by the network element, the session granularity is changed, the existing user-level session is changed into the network element-level session, the starting point and the ending point in the session path are changed, and the end-to-end session is changed into the session from the network element to the network element, so that the requirements of large-scale intercommunication and efficient communication of data are met.

The invention provides a dual-carbon transaction service platform with a transaction information accurate matching function, and relates to the technical field of carbon transactions, and the dual-carbon transaction service platform comprises a sequentially nested verification chain formed by a token issuing unit, an area pre-detection unit, a time window response unit, a data interoperation unit, a manual verification unit and an electronic filing unit which run in sequence. The platform carries the mapping information by using the digital token, the category code corresponds to the carbon quota category, the aging state code is bound with the effective time period, and the regional feature code is associated with the regional emission factor data. During verification, region consistency is verified through an algorithm, period effectiveness is judged through system time, kernel exposure is triggered through a data matching rule, finally, an authenticator carries out visual comparison and applies digital marks, and whole-course data is recorded and evidence-stored through an electronic filing unit.

The invention discloses a cross-regional data intercommunication method, device, equipment and medium for the electric power Internet of Things, and the method comprises the steps: carrying out the layer-by-layer splitting of a target database table according to a preset multi-level business logic, obtaining a plurality of sub-tables and a sub-table splitting list, and carrying out the layer-by-layer splitting of a plurality of sub-tables according to the sub-table splitting list, sequentially generating a sub-table subordinate hierarchy list and a sub-table dependency list; monitoring the arrival state of each sub-table transmitted to the target safety area so as to calculate the proportion of the sub-tables arriving in the waiting period; if the sub-table proportion is greater than a preset threshold value, judging whether each arrived sub-table meets an independent processing condition or not according to a sub-table dependency list; and according to the subordinate hierarchical list of the sub-tables, merging the sub-tables capable of being processed independently to obtain a plurality of new database tables, and executing business processing of the power internet of things according to the new database tables. According to the invention, the problem of slow service processing response speed for waiting for complete data due to asynchronous arrival of the data in the data intercommunication process can be solved.

The invention discloses an intelligent garden data management method and system based on cloud computing, and relates to the crossing field of cloud computing technologies, and the method comprises the steps: collecting and preprocessing multi-dimensional garden data through a distributed terminal, and adding classification and space-time labels; using a hybrid cloud architecture to realize data security storage and collaborative management, and establishing a classification index; a deep learning model is trained based on historical data, an analysis result is output, a personalized maintenance scheme is generated, and dynamic optimization is performed through real-time feedback; secure data intercommunication between the platform and various terminals is realized by means of a multi-terminal collaborative interaction module, and data security is guaranteed by adopting encrypted transmission and authority control; monitoring and encryption protection are implemented in the whole process, a traceable log is generated and filed regularly, and continuous iterative upgrading is performed in combination with a model effect. The method has the advantages that based on the hybrid cloud architecture and distributed data processing, garden management is promoted to be transformed to data intelligent driving through full-process closed-loop optimization, and the management efficiency and the refinement level are greatly improved.

This invention relates to a multi-dimensional characteristic monitoring system for power distribution cables. The system includes a snap-on integrated sensor, partial discharge / fault location / temperature rise circulating current monitoring equipment, shared hardware equipment, and a system fusion management device. The integrated sensor synchronously collects partial discharge, fault traveling wave, temperature, and circulating current signals and outputs them uniformly. The three monitoring devices receive signals through a unified interface and analyze them independently. The shared hardware provides unified power supply, communication, and GPS / BeiDou dual-mode clock synchronization. The system fusion management device performs multi-dimensional data fusion analysis and collaborative early warning. All devices achieve time synchronization, resource sharing, and data interoperability. The fault location equipment integrates multi-source abnormal data to complete fault prediction and accurate location. The fusion management device mines parameter linkage relationships to identify complex hidden dangers. This system achieves integrated collaborative monitoring of multi-dimensional characteristics of power distribution cables, improves the accuracy of monitoring and fault tracing, reduces equipment and maintenance costs, and is suitable for the operation and maintenance needs of 6-35kV power distribution network cables.

The invention discloses a furnace number full-process tracking system and method for special steel production, and belongs to the technical field of crossing of ferrous metallurgy intelligent manufacturing and industrial network safety. The problems that a traditional tracking system of an existing special steel enterprise depends on manual recording, so that the cross-process data intercommunication rate is low, the positioning and tracing precision is poor, and the confidentiality is low are solved, through a three-level architecture of a sensing layer, a network layer and an application layer, an industrial sensor is integrated, SM4 encryption transmission is carried out, and an isolated forest algorithm and a PBFT block chain consensus mechanism are improved. And full-process data communication and active security defense in the special steel manufacturing process are realized. The system has the advantages of equipment credibility authentication (SM2 algorithm), data tampering detection rate of 100%, block chain rapid response and the like, and is suitable for special steel production lines with high secrecy and quality tracing requirements.

A disposable blood typing device is provided for determining ABO and RhD blood types using binary logic-based interpretation. The device includes a sample application area, test zones containing dried anti-A, anti-B, and optionally anti-D reagents, and a result output mechanism configured to display a binary outcome for each antigen. Binary values are assigned based on visible agglutination reactions, which are processed through a logical mapping structure—such as a printed chart, mechanical indicator, or electronic logic circuit—to determine the corresponding blood type. The device may incorporate visual indicators, control regions, waste containment, and optional digital components for electronic display or wireless data transmission. Designed for single use, the system facilitates self-administered or point-of-care testing without requiring clinical expertise, and may be integrated with mobile applications or health records systems. The invention enhances test accuracy, usability, and data interoperability while minimizing contamination risk and interpretation error.

The proposed useful solution is a wallless hospital system (10) configured to acquire, process, analyze, update status and coordinate medical data in real time, including: data source module (21), wallless hospital system module (31), medical equipment infrastructure and terminal module (41). The solution is a digital health system architecture capable of data interoperability, real-time data processing, medical resource coordination, terminal management, medical transport support and remote healthcare service delivery within the same platform.

This invention relates to the field of enterprise operation management technology, specifically to a digital management and control system and method for the entire enterprise operation chain based on intelligent collaboration. The system's end-to-end intelligent collaborative management and control module, combined with a constructed operation data platform, utilizes a rule engine and machine learning algorithms to initiate customized operation process templates, achieving automated process flow and cross-departmental collaboration. It automatically pushes pending tasks and triggers alerts and intercepts abnormal nodes. This invention achieves data interoperability across multiple enterprise operation modules through multi-source data adaptive fusion, solving the problems of fragmented and cumbersome data integration in traditional operations, providing solid data support for end-to-end management and collaboration. Furthermore, through the end-to-end intelligent collaborative mechanism and customized templates, it automates the operation process, reduces manual intervention, and effectively shortens the process processing cycle. It also supports multi-industry and multi-scenario adaptation, meeting the personalized operational needs of enterprises of different sizes and types.

The invention discloses a chronic disease whole-process digital medical treatment cloud service and medical insurance real-time supervision unified large model. The model comprises a technical architecture and a combination engine; the technical architecture comprises an infrastructure layer, a data base layer, a core technology layer, a business application layer and an ecological collaboration layer. The combination engine comprises federated learning and block chain combination, digital twinning and AI and big data combination, edge calculation and 5G and Internet of Things combination, NLP and knowledge graph and AR combination, quantum encryption and zero knowledge proof combination, and Web3.0 and DAO combination. Through cross-layer cooperation of a five-layer technical architecture and six technology combination engines, balance between data sharing and privacy protection is realized, cross-mechanism data islands are broken, data security compliance is guaranteed through technologies such as federal learning block chain quantum encryption, and the contradiction between data intercommunication and privacy protection in the prior art is solved; according to the digital twinborn AI big data combination, a full-process risk control system is constructed, and risk pre-prediction in-event intervention and post-event optimization are realized.

The invention provides a lung function evaluation and training integrated processing method and device and electronic equipment. The method comprises the steps that a mode triggering instruction is acquired; if the mode trigger instruction is an evaluation mode trigger instruction, determining a lung function index according to the collected turbine pulse signal, and updating the lung function index to a training difficulty adjustment document corresponding to the evaluation object; if the mode trigger instruction is a training mode trigger instruction, loading a preset training game scene, and adjusting a target training difficulty coefficient of the preset training game scene according to a lung function index read from a training difficulty adjustment document corresponding to the training object, and mapping the collected instantaneous flow corresponding to the training object into a game control parameter in the target training game scene. Lung function evaluation and training are integrated on one machine, and the evaluation result is used as the setting basis of the training content, so that data intercommunication is realized, the training effect is improved, and the diagnosis and treatment cost is reduced.

The invention 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 information data uploaded by a user, and converting the information data into a two-dimensional table; performing data format check and conversion based on the mapping relationship, and creating a plurality of SCO objects; the AttackPattern object and the ObservedData object are filled with the SCO object to be serialized, and threat intelligence conforming to the STIX format is generated; and outputting a file in a JSONL format and naming the file according to a hash value. According to the method, automatic and standardized conversion of the multi-source heterogeneous threat intelligence data is realized, the data interoperability and sharing efficiency are improved, and the network security defense capability is enhanced.

This application relates to the field of cloud computing technology, and provides an intelligent social governance method and system based on data interoperability. The method includes: collecting and obtaining a service data set; integrating and updating the service data set to obtain integrated and updated data; privately identifying the integrated and updated data, classifying the data according to the private identification results, and obtaining a public cloud data set and a private cloud data set; forming a hybrid cloud set by combining the public cloud data set and the private cloud data set; matching access permissions through authentication information; calling data from the hybrid cloud set according to the access permissions, and constructing a temporary data model based on the call results; inputting demand information into the temporary data model, and outputting feedback results. This method can solve the technical problems of low intelligence level and inaccurate intelligent calling of government data in the data application process.

The invention relates to the technical field of behavior recognition, in particular to a crocodile stress intelligent evaluation system based on behavior characteristics, which comprises a time sequence behavior collection module, an interval dynamic analysis module, a feeding fluctuation collaboration module, a trend grading judgment module and a stress alarm linkage module. According to the method, through multi-dimensional structured recombination of behavior characteristic data, deep cooperation of a feeding response time sequence, environment change and a behavior link is achieved, unified archiving of the total feeding amount, interval change and trend classification is achieved, the accuracy of stress state judgment is improved, links such as periodic behavior comparison, fluctuation trend classification and label output penetrate through the whole process, and the accuracy of stress state judgment is improved. Whole-process tracing and fine anomaly analysis of a crocodile stress link are supported, coherence and consistency of evaluation output are guaranteed through automatically generated trend classification and grade labels, isolated judgment limitation is eliminated through data intercommunication, integrated triggering of grading, alarming and displaying is achieved, and the intelligent stress evaluation requirement for continuous period and accurate quantification under dynamic breeding management is met.

The invention relates to a mixed reality platform safety prompting method and system based on IOT equipment and early warning, and the method comprises the following steps: classifying data transmission paths of the IOT equipment, matching a communication protocol, obtaining a control authority, and uploading the collected data information to a server; a multi-target deep learning early warning model is constructed, model training and testing are completed based on historical data of a high-voltage test scene, an early warning algorithm is formed, and parameter setting permissions are opened; the mixed reality platform is connected with a server, and a parameter setting function of an early warning algorithm is embedded into the mixed reality platform, so that the mixed reality platform can control a safety threshold of IOT equipment; server data is visualized through the mixed reality platform, safety auxiliary analysis is carried out, and MR equipment loaded with the mixed reality platform triggers automatic safety prompts during a high-voltage test, so that dangerous points are avoided. The intelligent early warning system has the advantages of equipment integration, data intercommunication, intelligent early warning accuracy improvement and the like.

Data interoperability is to be ensured when support modules in accordance with work procedures of each medical or nursing care institution and each occupation is developed, and electronic health record elements developed / corrected in a hospital are registered in an electronic health record element database, thereby enabling the electronic health record elements to be shared with other medical / nursing care institutions while backing up the electronic health record elements in the hospital. In an electronic health record system including a combination of support software (support modules) by occupation that supports creation of documents for each of a plurality of occupations in medical / nursing care, the electronic health record system enables documents created by the support modules to be referenced between any combination of the support modules.