17 results about "Data interoperability" patented technology

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.

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.

This invention relates to airspace coding, specifically to a multi-level unified coding system for low-altitude airspace. The system includes a coding hierarchy architecture module, which designs and constructs an eight-level coding architecture from the national level to the building level; a coding inheritance and short code setting module, which designs inheritance logic to achieve reversible traceability of codes and designs short code rules to improve coding efficiency; a coding fusion module, which combines a planar coordinate framework and altitude coding to achieve integrated coding of planar and altitude spaces; a coding splicing and storage module, which designs coding splicing rules, file naming conventions, directory hierarchy structures, and unified attribute fields to facilitate system storage, parsing, front-end loading, and spatial indexing; and a multi-standard compatibility module, which establishes compatibility conversion rules between grid data and various existing standards to ensure seamless integration with existing industry data systems. The technical solution provided by this invention overcomes the shortcomings of achieving accurate low-altitude airspace division, efficient traceability, and cross-industry data interoperability.

This invention discloses a high-rise building fire protection system, belonging to the field of fire protection communication technology. It includes: a controller for coordinating and controlling the operation of the entire communication device; and a communication protocol conversion module connected to the controller for converting the target communication protocol used by the fire protection equipment into a preset unified communication protocol. By setting up the communication protocol conversion module and the data format conversion module, fire protection equipment from different manufacturers and with different communication protocols, such as smoke detectors, heat detectors, and manual alarm buttons, can be uniformly converted into a preset universal protocol and JSON format. This completely solves the problem of information silos among various devices in traditional fire protection systems. Simultaneously, the edge computing gateway and data preprocessing unit perform filtering, noise reduction, and invalid data removal near the data source, reducing the computational burden on the controller and significantly improving the system's real-time response capability and data quality. This achieves unified access and data interoperability for multi-protocol heterogeneous fire protection equipment.

This invention discloses a dynamic planning method and system for emergency evacuation routes in smart buildings. The method includes the following steps: S1: Multi-source dynamic data acquisition and preprocessing. This invention overcomes the limitations of ideal static modeling by constructing three dynamic models, employing an improved dynamic weighted algorithm and a real-time optimization mechanism. It accurately adapts to dynamic disasters and personnel factors, improving the robustness, real-time performance, and adaptability of route planning, ensuring evacuation safety. Furthermore, by building a standardized data platform, it achieves data interoperability and format unification across multiple systems, establishing a linkage channel between planning results and execution, and connecting relevant departments such as property management and fire protection. This breaks down data silos and cross-system collaboration barriers, resolving the disconnect between "planning changes and guidance not being updated," achieving seamless collaboration between planning, execution, and rescue, significantly improving emergency evacuation efficiency, and meeting the core needs of smart building emergency management.

This invention discloses a method for early warning supervision and full-process control of power business based on multi-source data collaboration, belonging to the field of digital operation and control technology of power systems. The method constructs a three-in-one collaborative architecture of "data-task-responsibility," achieving multi-source heterogeneous data fusion and government-enterprise data interoperability through unified data elements and a lightweight API gateway. It employs a dual-drive approach of organizational tree algorithm and rule engine to automatically decompose business tasks and accurately map four-level responsibility nodes (city-district-station-person). It relies on a configurable supervision rule base and streaming computing to achieve real-time identification and hierarchical early warning of business anomalies, and combines a dual-channel multimodal reach mechanism to improve response efficiency. A full-link closed-loop control module is constructed, using a closed-loop verification algorithm to quantitatively evaluate the supervision effect and drive dynamic optimization of control rules. This invention forms a complete full-process closed-loop control technology chain, effectively solving industry pain points such as data silos, ambiguous responsibilities, ineffective supervision, and missing closed loops in power business.

This application discloses a data mapping method, apparatus, device, storage medium, and product, relating to the field of data processing technology. The data mapping method includes: responding to a data mapping request, determining the data to be mapped and target data source information corresponding to the data mapping request; converting the data to be mapped into intermediate data conforming to an intermediate data layer format; and mapping the intermediate data into target data conforming to the target data source information. Because this application first converts the data to be mapped into intermediate data conforming to an intermediate data layer format, and then maps the intermediate data into target data conforming to the target data source information, compared to existing methods that rely on manual configuration by technicians for data conversion between different data sources, this application's method can improve the efficiency of data conversion between different data sources and increase the data interoperability between various data sources.

This invention discloses a cloud-edge-device collaborative data processing and secure transmission method for coal mine AI video monitoring, belonging to the field of coal mine safety monitoring data processing technology. It includes: S1: The mine-side edge computing terminal is responsible for real-time video stream acquisition and analysis, only extracting video clips related to alarm events; S2: The edge layer connects to the provincial / municipal / county-level regulatory cloud platform via 4G / 5G / NB-IoT networks, using an encrypted transmission protocol to upload alarm clips, device status data, and statistical reports; S3: The mine-side edge computing terminal is equipped with a domestically produced chip, and passes security protocol authentication when interfacing with the provincial / municipal / county-level regulatory cloud platform; S4: A collaborative mode of local autonomy and cloud-based supervision is achieved. This invention solves the problems of high transmission latency, data leakage risks from full uploads, and difficulties in data interoperability in existing systems. This invention reduces network bandwidth usage by 85%, achieves transmission latency ≤500ms, eliminates sensitive information leakage, and improves regulatory efficiency by 70%.

This invention relates to a server testing method, apparatus, electronic device, and storage medium. The server testing method includes: acquiring a test script with modified code; parsing the test script into a task queue; during the execution of test tasks according to the preset task queue, acquiring underlying hardware benchmark data of the server under test through a low-level management interface; querying upper-level hardware test data corresponding to the underlying hardware benchmark data from the server under test through an upper-level management interface; and performing a consistency check on the underlying hardware benchmark data and the upper-level hardware test data to obtain a check result. The embodiments of this application can achieve cross-module data interoperability, solving the problems of data isolation and the need for manual aggregation in the prior art, and improving testing efficiency.

This invention relates to the field of firefighting robot technology, and discloses a fully autonomous intelligent firefighting robot based on AI vision and multimodal perception. Its features include a multimodal perception module, an AI edge computing decision-making module, a fully autonomous execution module, a hierarchical linkage communication module, a cloud scheduling module, and a power management module. These modules achieve data interoperability and command coordination through an industrial-grade CAN bus protocol. The invention also discloses a firefighting method. This invention has the following main beneficial technical effects: high perception accuracy and comprehensive coverage; accurate AI recognition and strong anti-interference capability; precise fire extinguishing and high efficiency; fully autonomous closed-loop operation and unattended operation; strong environmental adaptability and wide scenario adaptation; applicable to firefighting in new energy charging pile scenarios, multi-machine collaborative firefighting in underground parking lot oil fire disposal, and cross-platform linkage firefighting in energy storage power station level 3 fires, etc. It features hierarchical linkage and strong collaboration; data support and iterative optimization.

This invention discloses a method for identifying flash flood and debris flow risks by integrating mechanisms, remote sensing, and deep learning. The method includes a data fusion and standardization module, a mechanism simulation module, a remote sensing identification module, a deep learning module considering physical constraints, and an interpretability analysis and closed-loop decentralization module. By constructing a unified data interface, a unified data model, a physical-data dual-driven system, and a closed-loop self-learning structure, this method achieves deep integration and complementary advantages of the three technologies: mechanism, remote sensing, and deep learning. It effectively solves the technical problems of traditional disaster identification methods, such as data heterogeneity, difficulty in data interoperability, low efficiency, weak model generalization ability, and poor interpretability. It constructs a self-learning and adaptive intelligent risk identification system, thereby improving the accuracy, real-time performance, and practicality of flash flood and debris flow risk identification and assessment, and providing scientific support for risk decision-making by management departments.

This invention discloses a self-governing method for VOCs quality control, belonging to the field of VOCs governance technology. The method includes: setting up a VOCs information model for users; improving the VOCs monitoring system based on the VOCs information model; conducting real-time monitoring through the VOCs monitoring system to obtain VOCs monitoring data; matching applicable measures from a preset measure library based on the VOCs information model; performing governance simulation based on the applicable measures and the VOCs information model to obtain simulated governance expected data; displaying the simulated governance expected data in the VOCs information model; acquiring governance needs in real time; analyzing the governance needs based on the VOCs information model; and determining the recommended governance method to meet the governance needs. This invention not only solves the self-governing VOCs quality control problem of a single enterprise, but also achieves data interoperability, resource collaboration, and intelligent decision-making for multiple users by constructing a regional / industry-level comprehensive VOCs governance platform.

This invention relates to the field of health management technology, specifically to a health service management method integrating detection, assessment, intervention, and follow-up. This method includes health information collection and electronic record establishment; multi-dimensional precise health detection and dynamic data monitoring; multi-disciplinary comprehensive health risk assessment and level determination; personalized precise health intervention program customization and goal setting; tiered and categorized intervention implementation and full-process professional guidance and supervision; full-cycle health data tracking and real-time feedback recording; comprehensive review of intervention effects and dynamic optimization and adjustment of the program; and long-term management of health consolidation and risk warning. This method can effectively address the pain points of existing health services such as fragmentation and lack of personalization, achieving seamless connection and data interoperability across all stages of detection, assessment, intervention, and follow-up, accurately matching individual multi-dimensional health differences, and improving the pertinence and effectiveness of health management.

The application discloses a retail enterprise heterogeneous data interoperability method and device, equipment and storage medium, relates to the technical field of data processing, and comprises the following steps: connecting each heterogeneous database of a target retail enterprise by using a preset connector, reading operation data in each heterogeneous database to obtain each target heterogeneous data, performing semantic analysis and data correlation analysis on each target heterogeneous data by using a preset artificial intelligence technology to determine a target entity corresponding to each target heterogeneous data, and constructing a preset logical data model based on the target entity; obtaining an information interoperability request sent by a data interoperability request party to the target retail enterprise, and converting the information interoperability request into target interoperability instructions corresponding to each heterogeneous database based on the logical data model, so that the operation data in each heterogeneous database is subjected to data interoperability based on the target interoperability instructions to obtain heterogeneous data interoperability results of the target retail enterprise. In this way, the data interoperability can be improved.

This invention discloses a multi-dimensional collaborative detection system and method for vehicle satellite communication. The system includes: a core equipment cluster employing time synchronization to achieve time alignment of multi-source data; a three-layer detection unit interconnected with a central control module via a high-speed industrial bus, collecting multi-source data at a unified time and uploading it to the central control module to achieve scene switching and data interoperability; a four-dimensional collaborative evaluation unit embedded in the central control module for data integration and cross-scene consistency processing, outputting unified quantitative evaluation results, and feeding the results back to the central control module to achieve adaptive adjustment of test parameters or generation of terminal design iteration suggestions, forming a closed loop; and a visualization and feedback unit that interacts bidirectionally with the central control module to present detection data, evaluation indicators, and anomaly diagnostic reports. This invention can be widely applied to the R&D verification, regulatory compliance certification, and mass production quality monitoring of intelligent connected vehicle satellite communication terminals.

This application relates to the field of data artificial intelligence processing technology, specifically to a heterogeneous data processing method, electronic device, and storage medium based on machine learning. This application generates a unified dense feature vector representation structure based on a machine learning mechanism of self-supervised representation learning. It constructs a multi-source heterogeneous data query system driven by a dynamic knowledge graph, executed by proactive data weaving, and outputting a unified representation of heterogeneous data. This system enables adaptive business connections between heterogeneous data and efficiently meets users' explicit or potential query needs. This application can overcome the limitations of traditional methods that rely on manually formulated hard matching rules, improve the automated management capabilities of ultra-large-scale asset data, and enhance the performance of data interoperability and seamless integration.