61 results about "Data Linkage" patented technology

The application discloses a kind of support to drag and drop sorting waypoint list management interaction system, belong to ground station waypoint management field.Belong to ground station waypoint management field.It includes waypoint list display module, drag and drop sorting interaction module, waypoint management operation module, associated function adaptation module;Waypoint list display module presents the key parameters such as waypoint height, flight speed with entry form;Drag and drop sorting interaction module supports user to drag and drop waypoint entry adjustment order, real-time feedback state and synchronously flight execution logic;Waypoint management operation module provides waypoint deletion, save, read and upload function;Associated function adaptation module realizes linkage with template editor, relative coordinate editor and flight control module.This system operation is intuitive, data synchronization is efficient, and function integration is strong, effectively solve the problem that traditional waypoint management operation is complicated, data linkage is insufficient, improve the convenience and accuracy of flight mission planning.

This application relates to an automated production system for stainless steel cabinet panels with single-sided keel. The automated production system for stainless steel cabinet panels with single-sided keel described in this application aims to solve the problems of insufficient fully automated processing, inadequate visual recognition accuracy, and poor data linkage in existing technologies for stainless steel panel furniture. Given the poor moisture resistance and corrosion resistance of wooden furniture, stainless steel panel furniture has become a preferred option; however, existing processing relies on manual labor and is inefficient. This method retains only manual, rough pre-assembly, while the remaining processes are fully automated. It reduces data processing volume and improves recognition accuracy through feature difference recognition, and constructs a six-layer closed-loop data linkage architecture to achieve collaboration among various processes, breaking through processing bottlenecks, reducing labor costs, and improving production efficiency and finished product qualification rate.

This invention discloses an intelligent monitoring and early warning method and system for bridge expansion joints, comprising: collecting multi-dimensional data such as stress, strain, displacement, temperature, humidity, and load frequency through a distributed sensor array, transmitting the data to a big data analysis platform for classification, storage, and correlation mapping; calculating damage variables by calling a fatigue damage evolution model; extrapolating load time-series response using a dynamic load response prediction model; and performing feature matching and anomaly determination using an intelligent abnormal deformation diagnosis model. This invention generates early warning information including damage level, deformation trend, and risk range by integrating model output results, achieving multi-dimensional data linkage analysis and early warning signal output, providing comprehensive and accurate technical support for the health monitoring of bridge expansion joints, and improving the scientific nature and timeliness of operation and maintenance decisions.

The application discloses a multi-dimensional data linkage self-defined active reminding system, realizes deep fusion of multi-source heterogeneous data through space-time alignment and confidence fusion, and only uses data in the prior art; complex condition combination and pre-judgment are supported through expression tree compilation and progressive satisfaction evaluation, and only single condition judgment is provided in the prior art; all trigger thresholds and complex rules are provided for users to define, so that different driving habits and requirements are met; due to the support of multi-source data, the reminding scene with navigation and the reminding scene without navigation can be compatible, double data sources are complementary, and the pain point of "navigation failure" in the prior art is solved; meanwhile, the reminding mechanism based on priority is used to reduce reminding conflicts and redundancy, and improve user experience.

The application provides a machine shell magnetizing and oiling machine, which is applied to the technical field of motor equipment processing and is characterized by the following: a machine table, a top surface of the machine table is a processing surface, and the machine shell is transported and processed on the processing surface; a machine shell transporting assembly, which comprises a speed-up chain, a material carrier and a machine shell rotating piece; the material carrier is arranged on the speed-up chain, the speed-up chain is arranged on the processing surface, the machine shell is arranged on the material carrier, the machine shell moves on the material carrier along with the speed-up chain, and the machine shell rotating piece transports the machine shell on the material carrier to another work station for processing after grabbing the machine shell; a machine shell processing assembly; and the machine shell magnetizing and oiling machine solves the technical problem that the current automatic special machine for a single process is not perfect in that the functions of accurate positioning of the machine shell, inner hole or end surface processing, high uniformity magnetizing and trace quantitative oiling are integrated in the same work station, the cooperative control and data linkage of each link are weak, and efficient and high-precision continuous operation is difficult to realize.

The first aspect of the present application discloses a ship longitudinal bending strength checking method based on component classification and data linkage. The second aspect of the present application discloses a ship longitudinal bending strength checking system for implementing the above ship longitudinal bending strength checking method. The core of the present application is to build an efficient and accurate checking system by scientific component classification and close data linkage, and to deeply couple the professional ship strength checking logic and the data processing capability of the general electronic spreadsheet. The system is based on a unique component numbering system divided according to the plate rack position, combined with the pre-existing double classification of components, to realize the fine management of the ship longitudinal bending strength checking process. At the same time, the system developed based on the Excel platform solidifies the complex checking process into an orderly associated calculation table, ensuring the automatic transmission and efficient processing of data.

The application discloses a kind of ship lithium battery remote monitoring method and system, it is related to the technical field of measurement electric variable, including acquisition module, processing module, estimation module, transmission module and management module, acquisition module acquires the operation data of ship lithium battery and ship working condition data transmission to processing module, to operation data linkage realizes filtering rule switching and validity determination, obtains effective operation data transmission to estimation module, the state of charge and health state of lithium battery are corrected and estimated to obtain estimated data, estimated data and effective operation data are transmitted to transmission module, estimated data and effective operation data are classified to obtain classified data transmission to management module, classified data is based on scene classification to realize regular operation and maintenance management, by linkage ship working condition switching filter, set different threshold limit abnormal data replacement times, correct lithium battery charge and health state, classified transmission data are according to scene operation and maintenance to improve ship lithium battery monitoring effect.

The present application relates to the technical field of dormitory health early warning, and discloses a student dormitory health monitoring and early warning system and method based on infrared temperature sensing, which comprises a sensing layer, a benchmark self-correction layer, a network layer, a platform layer and an application layer, and combines a mobile temperature calibration device, an array calibration control module and a data linkage processing module to realize unmanned automatic online calibration of an infrared thermal imaging sensor array; the method realizes deep linkage of calibration results, body temperature monitoring data and early warning algorithm parameters through a closed-loop process of calibration triggering, calibration execution, calibration curve generation, data linkage correction and monitoring and early warning, and solves the problems of long-term operation precision reduction of the sensor and monitoring interruption caused by manual intervention during calibration on the basis of retaining the core advantages of original system non-contact continuous monitoring and CUSUM algorithm trend early warning.

The utility model discloses a kind of adjustable angle vision sensor test support for research and development of sweeping robot, it is related to sweeping robot test equipment technical field, including test support and sensor body, the test support includes the bracket assembly for installing sensor body and the adjusting assembly for adjusting sensor body angle;Manual turntable external design of the utility model is convenient to operate, angle adjustment can be carried out without opening robot shell.Electric mode is integrated in robot control system, and remote control and data linkage can be realized.Directly detect the angle of rotating component by the angle sensor set, greatly improve the reliability and convenience of test data.

The application relates to the technical field of steel industry process control and data fusion, and discloses a steel product carbon label data and production equipment operation parameter linkage monitoring and abnormality tracing method and system. The method collects equipment operation parameters in real time through deployment of a sensor group and extracts carbon label data from a carbon footprint accounting system; a time-space alignment mapping model is constructed, time tolerance parameters and material flow direction tracking are used to solve the time-space misalignment problem of multi-source heterogeneous data; a double-threshold joint decision logic is used to detect carbon label-equipment correlation abnormalities; based on abnormal contribution degree, a root cause equipment is accurately traced and located, and after fault feature matching, an equipment control instruction is generated; the instruction is issued through an industrial control network to realize equipment state adjustment and closed-loop verification. The application realizes deep fusion and closed-loop feedback of carbon emission data and physical equipment working conditions, solves the technical problem that existing carbon accounting and equipment control are independent of each other, and improves the fine carbon emission control level and abnormal response efficiency.

This invention relates to the technical field of rights exchange risk identification, and discloses an artificial intelligence-based method for rights exchange risk identification and early warning. The method includes: uniformly encoding raw rights behavior data from operators and internet platforms to obtain cross-platform standardized rights data; constructing cross-platform rights action links based on the cross-platform standardized rights data to obtain cross-platform rights action link data; extracting multi-dimensional features from the cross-platform rights action link data to obtain cross-platform link structured feature vectors; performing link-level anomaly identification and risk scoring based on the cross-platform link structured feature vectors; and generating early warning results for risk control. This invention uses cross-platform rights data analysis for risk early warning identification, which helps to achieve data linkage between platforms, break down data silos between platforms, accurately identify abnormal cross-platform rights exchange behavior, and improve the accuracy of cross-platform risk management.

The application discloses a data linkage control method and related device, relates to the technical field of data processing, and responds to a data modification operation of a user on a current form, determines a global operation version number of the current form, and then determines a global influence field of the global operation version number according to a linkage trigger relationship graph; the preset dimension version number set containing a target state version number, a trigger state version number and a data acquisition state version number is used for anti-repetition calculation, dependent waiting calculation and anti-expiration calculation of a target field in each asynchronous linkage path in an asynchronous linkage path determined by an initial field corresponding to the data modification operation and the global influence field; and a trigger version is monitored in real time to identify and interrupt a linkage loop. Through multi-dimensional version number management and control and state machine evolution, the application can effectively reduce redundant calculation of a complex form, prevent a logic dead loop, ensure data consistency in a high-concurrency environment, and significantly improve system performance and resource utilization.

This application relates to a method and system for early warning of sudden weather in scenic areas based on meteorological data linkage. The method includes: acquiring real-time meteorological monitoring data of the scenic area; performing correlation analysis on the real-time meteorological monitoring data based on a pre-set historical meteorological disaster database to obtain a target case set; the historical meteorological disaster database includes comprehensive monitoring data of historical cases in the scenic area; the target case set includes at least one of the historical cases; analyzing the disaster evolution process of each historical case in the target case set based on the comprehensive monitoring data to obtain an evolution chain template vector; and analyzing the real-time meteorological monitoring data based on the evolution chain template vector to obtain comprehensive data on current risk evolution; and comprehensively analyzing the comprehensive data on current risk evolution based on the historical meteorological disaster database to obtain a scenic area disaster early warning report. This method can improve the accuracy and foresight of weather warnings for scenic areas.

This invention discloses a digital intelligent management method and system for safe operation and maintenance in the petrochemical industry. Addressing the industry pain points of traditional magnetic flux leakage (MF) detection, which relies on manual experience leading to low efficiency and accuracy, and the information silos formed by the disconnect between detection and maintenance, this invention intelligently converts MF signals into images and performs automatic model recognition. This achieves precise quantitative analysis of defect type, depth, and location information, significantly improving the accuracy and efficiency of defect identification. Simultaneously, this method constructs a closed-loop data linkage from defect identification and quantitative analysis to maintenance work order generation and feedback recording. This not only achieves transparent management and efficient collaboration in the operation and maintenance process but also provides data support for subsequent strategy optimization through the accumulation of maintenance logs, effectively eliminating safety hazards and greatly improving the intelligence level and safety of petrochemical pipeline operation and maintenance management.

The present application relates to the technical field of enterprise information management and risk control, and particularly relates to a contract compliance dynamic management and control system and method based on data linkage. The contract compliance dynamic management and control system based on data linkage comprises: a data fusion module, which is used for automatically connecting and integrating internal business data sources and external compliance data sources of an enterprise to form fused data; a compliance monitoring module, which is used for performing real-time dynamic compliance verification on a contract execution process based on the fused data; a supplier verification module, which is used for performing multi-dimensional compliance cross-verification on a supplier at a key node of contract execution based on the fused data; and an early warning and tracing module, which is used for generating a graded risk early warning and performing full-link tracing on a risk event according to verification outputs of the compliance monitoring module and the supplier verification module. By establishing an automatic data connection and processing channel, deep fusion and real-time synchronization of internal and external compliance data are achieved.

This invention discloses a paperless, systematic, and mobile-based collaborative management method for the entire industrial production process, belonging to the fields of industrial manufacturing execution systems and industrial digital management technology. Based on an integrated underlying architecture, this invention completely eliminates the paper-based document circulation model. Using the plan number / material number as the unique core identifier for the entire process, it builds a digital management system comprising a back-end management terminal and a lightweight mobile terminal. This enables systematic input of information across all stages of industrial production, including production planning, process quality inspection, equipment inspection, and anomaly handling; real-time mobile operation; and full lifecycle data linkage. The system automatically generates tamper-proof digital logs for all operations based on the underlying architecture, supports one-click full-link traceability by plan number / material number, and can seamlessly integrate with modules such as production planning management and intelligent reminders to form a closed-loop, systematic management system for the entire process. This invention addresses industry pain points such as information transmission failures, traceability difficulties, low efficiency, and data disconnection under traditional architectures, significantly improving the precision and intelligence of production management. Moreover, this method can only be implemented based on an integrated underlying architecture, which cannot be adapted to traditional modular architectures, forming a unique technical barrier. All database operations adopt standard SQL basic syntax, are compatible with both SQL Server and GaussDB platforms, have strong implementation and high scalability, and can be widely applied to various industrial production line management scenarios.

The application discloses a multi-source business data processing and linkage analysis method and system for enterprise collaborative office, and relates to the technical field of multi-source business data processing. The application generates a data association set of the same collaborative office approval matter by performing update time consistency analysis on the collaborative office data, approval node data and user permission data obtained from each collaborative server; determines whether the collaborative office data, approval node data and user permission data belong to the same collaborative approval time sequence synchronization state; returns the target call data to the office collaboration terminal if they belong to the same collaborative approval time sequence synchronization state, and performs approval state collaborative repair processing if they do not belong to the same collaborative approval time sequence synchronization state, and obtains interface call parameters, synchronization polling period parameters and message queue retry parameters; and helps to solve the problem that the existing data call and permission control mode may be inconsistent in time sequence across servers, affecting the accuracy and reliability of multi-source contract approval data linkage processing.

This invention discloses a data linkage analysis method for locating abnormal operating conditions in smart parks, specifically relating to the field of data linkage analysis technology. The method includes collecting, sorting by time, and regularizing the operation log data and status data generated by various business applications within the park to form an operation data sequence; parsing the call relationship of the operation data sequence, matching trigger events with corresponding response events one by one, and calculating the response time and state change direction during the matching process to form a linkage record sequence; performing group statistics on the linkage record sequence within a historical operation window, calculating the stable response time interval and stable state change direction for the same trigger event and response application combination, and constructing the expected linkage structure between applications; transforming the implicit operational expectations between systems into a computable linkage structure within an industrial data analysis framework, and locating the abnormal source based on the time and propagation characteristics of linkage deviation.

The application discloses a kind of based on multi-sensor fusion's aero-engine test bed performance parameter synchronous acquisition and analysis system;System is through the hierarchical linkage of sensor layer, data acquisition layer, data processing layer and analysis decision layer, integrates multiple types of high-precision sensors, adopts the dual time alignment mechanism of hardware synchronous trigger and software compensation combination, fuses the multi-modal algorithm of Kalman filter, SVM classifier, deep neural network (DNN) and D-S evidence reasoning, with double-layer inverse Broyden iteration and online learning adaptive model, realize the accurate synchronous acquisition of engine temperature, pressure, vibration and other key parameters, real-time analysis and fault early warning.System is compatible with multiple aviation buses, with redundant transmission and anti-interference design, visual interface supports multidimensional data linkage and playback, can adapt to the engine test demand under different conditions, provides reliable technical support for aero-engine research and development, maintenance and performance optimization.

The application discloses a BIM-driven thermal power engineering construction risk data linkage management system and medium, belongs to the technical field of data management, wherein the system comprises: a data acquisition unit for acquiring multi-source construction data sets; a data recognition unit for outputting multi-source construction risk data sets; an instruction analysis unit for analyzing data calling instructions; a parameter mapping unit for obtaining multi-source data alignment mapping templates; a data processing unit for obtaining k sets of aligned construction risk data sets; and a data return unit for returning the k sets of aligned construction risk data sets to a risk management module. The application solves the technical problem that multi-source construction risk data is difficult to be uniformly called and linkage managed due to inconsistent formats and granularities, achieves a multi-source data parameter mapping and linkage alignment mechanism driven by BIM, and improves the integration efficiency of thermal power engineering construction risk data and the cross-module collaborative management capability.

This invention relates to the field of automatic switch adaptation technology, and discloses an automatic adaptation method for optical modules and switches, comprising: collecting multi-dimensional data, constructing a failure prediction model through difference calculation, outputting adaptation risk levels, and matching main adaptation plans; constructing a fault feature library, and quickly locating the root cause by analyzing fault matching degree; adjusting key parameters using a self-healing strategy, evaluating the effectiveness of the adjustment, and performing degradation processing; collecting key operating parameters in real time after successful adaptation, and adjusting core parameters to stabilize the adaptation state; simultaneously calculating resource usage optimization amount and dynamically adjusting resource allocation; locating short-term main causes through re-failure cause matching degree; employing a rapid reconstruction and data linkage strategy, calculating reconstruction adaptation parameters and performing linkage adjustments; linking process data sources to construct a short-term adaptation data closed loop; optimizing adaptation templates and strategies by calculating iterative optimization coefficients; verifying the optimization effect and forming an iterative closed loop.

The present application relates to the technical field of construction safety protection, in particular to an intelligent safety protection system based on energy distributed management and multi-device cooperative early warning; the present application adopts a cooperative system architecture of intelligent safety helmet and reflective vest, integrates the two into an integral intelligent protection system through data linkage and energy cooperation, and adopts a distributed energy management layout, thereby forming an energy scheme of optimized endurance and distribution, which is composed of "cap top flexible solar panel + cap inner lightweight auxiliary battery + vest large capacity flexible main battery"; the present application designs a cooperative early warning logic based on multi-sensor data fusion, a multi-condition joint determination method for specific scenes such as falling into water / falling, dangerous gas and vehicle approach, and simultaneously combines a non-inductive physiological monitoring integrated scheme to optimize the protection layout of each sensor distribution, improve the monitoring accuracy and accuracy.

The present application relates to the field of intelligent agriculture technology, and provides a lightweight intelligent production management system for multiple breeding varieties, which comprises a three-layer lightweight architecture using a hardware acquisition end, an edge operation end and a local interaction end. Each end cooperates to realize local data acquisition, analysis, operation, storage and interaction without cloud dependence. The system is based on the core data flow logic of real-time sharing of environmental monitoring data and precise feeding data linkage, feeding and weighing data and inventory accounting data, and integrally realizes intelligent regulation and control of breeding environment, precise feeding management, full-dimension production data acquisition, inventory digital accounting, equipment state monitoring and remote visualized supervision. By accurately implementing the hash value evidence mechanism into specific breeding business scenarios such as feed weight, weighing at slaughter, and feed into warehouse, and combining with multiple technical means such as device unique identification, timestamp, database encryption storage and write protection, the data is prevented from being tampered with throughout the whole process, and the authenticity and traceability of the data are guaranteed.

This invention relates to a parachute control method suitable for the first test flight experiment of an unmanned aerial vehicle (UAV), comprising the following steps: S101. Initialization of test flight parameters; S102. Dynamic threshold adaptive calibration; S103. Extreme attitude recognition and ejection direction adjustment; S104. Staged parachute triggering and attitude balance control; S105. Export of test flight data. This invention solves the problems of fixed trigger thresholds, parachute opening failures in extreme attitudes, poor adaptability, and lack of data linkage in existing technologies, improving the safety of the first test flight of an UAV, reducing test flight risks and R&D costs, and simultaneously enabling complete traceability of test flight data, providing reliable support for the optimization of test flight parameters.

The application discloses a health monitoring and emergency rescue system based on an intelligent wearable device and belongs to the technical field of health monitoring. The system comprises an intelligent wearable terminal, a health guardian APP terminal, a physician terminal, a guardian terminal, a hospital linkage terminal and a data server. The system realizes exclusive family doctor binding through physician qualification authentication, and forms a legal and responsibility binding relationship. When the intelligent wearable terminal collects abnormal human health indicators, the data is first synchronized to the exclusive family doctor terminal and the guardian terminal. After the family doctor completes professional judgment, hierarchical disposal is executed. Meanwhile, the linkage sharing of the intelligent wearable terminal position, user medical history, real-time health data and 120 emergency rescue system is realized. A complete closed loop of wearable device collection-physician professional judgment-hierarchical rescue execution-multi-party data linkage is constructed. The professionalization, precision and high efficiency of health monitoring and emergency rescue are realized. The system is especially suitable for the daily health monitoring and emergency rescue scene of the elderly group.

The application provides a power distribution terminal fault diagnosis and operation and maintenance work order integrated management and control method and device, relates to the power distribution automation operation and maintenance technical field, and comprises the following steps: periodically collecting multi-dimensional data of a power distribution terminal and transmitting the multi-dimensional data to a data linkage platform for structural storage; inputting the multi-dimensional data into a fault diagnosis model after data cleaning to determine whether the power distribution terminal has a fault, and generating a fault diagnosis result containing a fault cause and a fault quantization level if the power distribution terminal has a fault; calling a fault and work order standardized linkage rule library, generating an operation and maintenance work order based on the fault diagnosis result and equipment basic information through a unique code and a hash algorithm; and matching a standardized defect elimination scheme according to the information of the operation and maintenance work order, and executing a power distribution terminal operation and maintenance operation based on the matched standardized defect elimination scheme. The application realizes the deep integration of fault diagnosis and operation and maintenance work orders, solves the problem of disconnection between fault diagnosis and work order management, and greatly improves the fault defect elimination response efficiency and operation and maintenance quality.

This invention belongs to the field of flowmeter technology and discloses a method for optimizing the impeller of a turbine flowmeter. The method includes: S1: collecting data on the physical properties, operating range, and performance indicators of the medium through a system to establish clear design constraint data; S2: integrating streamlined and multi-lead design concepts, and determining the blade structural parameters through mathematical modeling and simulation analysis; S3: ensuring precise matching between the processing process and design objectives through parameter modeling, accuracy threshold setting, process coordination, and data linkage; S4: manufacturing an impeller prototype based on the processing technology, and calibrating the blade size and angle parameters using equipment; S5: verifying linearity and starting flow rate indicators through data acquisition and analysis, and iteratively optimizing design and processing parameters; S6: establishing a large-scale batch production process based on the optimized final parameters. This invention solves the problems of large starting flow rate, poor linearity, and insufficient consistency of metering accuracy in turbine flowmeters under low Reynolds number conditions.

The application discloses an operation and maintenance decision system for realizing multi-source panoramic observable data linkage analysis, comprising an MCP standardized access module, which is a unified gateway for multi-source data access, carries out multi-source data convergence, protocol standardized conversion, access security control and high-concurrency adaptive processing; an intelligent linkage analysis module, which completes abnormal accurate identification, multi-source data deep correlation and abnormal full-chain traceability and influence evaluation based on standardized MCP data; an operation and maintenance decision generation and pushing module, which generates executable operation and maintenance decisions based on the root cause candidate set and influence evaluation results output by the intelligent linkage analysis module, and pushes the decisions to an execution end through a standardized mode; and a decision execution and feedback optimization module, which tracks the whole-process execution state of the operation and maintenance decisions, collects execution feedback data and realizes iterative upgrading of operation and maintenance capabilities. The application can realize efficient linkage analysis of multi-source data and accurate operation and maintenance decisions.

The application belongs to the technical field of big data processing and policy declaration auxiliary management, and discloses a policy declaration auxiliary management system based on financial data linkage analysis, which comprises a data processing server and a storage device; the data processing server acquires original records in a financial system, a tax declaration system, a project management system and a business document system, carries out subject identification unification, period identification unification and field standardization processing, generates a business matter identification according to a preset association key, forms an association record set, carries out consistency check, declaration field value determination, difference record generation and change reprocessing according to a declaration rule library and a field mapping table, and forms a declaration result data set. The system is used for improving the accuracy and traceability of the declaration field value determination.