258 results about "Fusion system" patented technology

The invention discloses a multi-source heterogeneous data fusion system based on an RAG. According to the method, through deep knowledge fusion and a dynamic cognitive evolution mechanism, the decision-making intelligence level in a complex data environment is remarkably improved, and equipment operation parameters, environment indexes and a domain knowledge base are deeply associated to form a panoramic data view with space-time continuity. A generative enhancement mechanism endows original data with a self-evolution characteristic, industry empirical rules and real-time situation awareness are injected while the fidelity of the original characteristic is maintained, so that a decision model can capture micro data fluctuation and follow macroscopic business logic, accurate balance between risk early warning and resource scheduling is realized, and the risk early warning efficiency is improved. The dynamic adaptation characteristic enables the system to autonomously update a knowledge system and optimize a decision path in a complex and changeable industrial environment, and a post response mode of a traditional static analysis model is converted into an intelligent center with prospective pre-judgment and real-time regulation and control capabilities.

The present application relates to a digital base fusion system and electronic equipment. The system includes: a data source access module, which is used to obtain raw data from design tools and data sources in different fields; a data abstraction module, which is used to manage raw data and provide a unified data access interface for upper-level modules; a semantic modeling module, which is used to build a unified semantic model; a semantic alignment module, which is used to perform semantic analysis and matching on raw data from different fields; a data fusion module, which is used to fuse semantically aligned data of corresponding types based on different fusion methods to build a unified data view; a knowledge graph construction module, which is used to build a knowledge graph based on the semantic model and the fused data; an application service module, which is used to provide data services and knowledge services for upper-level applications. The present application solves the problem that the existing digital base architecture lacks a unified semantic conversion and expression mechanism, resulting in difficulties in cross-domain data integration.

The invention provides a dynamic fusion system for digital twin energy management BIM modeling and a method thereof, which are used for improving the intelligent level of energy management and optimizing energy scheduling. The system comprises a data sensing node used for collecting heterogeneous operation data of energy facilities; the local twin processor is used for carrying out real-time digital twin mapping on the data and generating a dynamic feature vector; region twinborn nodes perform local optimization based on edge calculation, and realize decentralized collaboration through a block chain or a knowledge graph; the cloud BIM fusion engine constructs a digital twin BIM model, generates a self-optimization energy scheduling scheme and predicts a long-term trend; and the operation control terminal is used for presenting a real-time view and providing a regulation and control instruction. According to the method, technologies such as multi-source data fusion, streaming aggregation optimization and adaptive twin mapping are combined, and the accuracy and dynamic response capability of energy management are improved.

The invention discloses a multi-source heterogeneous agricultural data element fusion system and method, and relates to the technical field of data fusion processing, and the method comprises the steps: carrying out the data screening of cleaned data; the screened data is preprocessed by the constructed agricultural field knowledge base, the logic consistency of the data is checked through a rule engine, and a corresponding coping strategy is adopted according to a check result; identifying abnormal points in the multi-source data by adopting a Gaussian mixture model and a constructed logic rule combination, and correcting or complementing the detected abnormal points in combination with a specific scene; key features are selected through information gain, multi-source fusion is carried out on the key features and original multi-source data, an abnormal mode library is established after abnormal data modes are classified, and source categories of the abnormal data are matched from a fault matching rule library according to abnormal features of the abnormal data; and the fault matching rule base is established, so that the source category of the abnormal data can be accurately identified, and a targeted solution is provided for processing the abnormal data.

The invention relates to the technical field of distributed target detection, in particular to a distributed target detection fusion system and method based on cooperation of multiple unmanned aerial vehicles, and the system comprises a data collection module, a coordinate system conversion module, a time registration module, a track association module and a filtering estimation module. The method comprises the following steps: collecting detection target data reported by each slave platform through a central platform, and sequentially performing coordinate system conversion, time registration, track association and filtering and state estimation on the detection target data to generate a global unified situation.

The invention provides an intelligent collaborative innovation incubation and campus security fusion management platform, which relates to the technical field of fusion management and comprises a multi-modal data acquisition and fusion system, an intelligent decision and strategy optimization engine, an edge calculation and security communication architecture, a scenarized analysis and prediction module and a security assurance and model adaptation system. The multi-modal data acquisition and fusion system comprehensively collects multi-source data of a campus environment, personnel behaviors and equipment states through a multi-sensor array, realizes efficient fusion of different modal features by using a feature fusion algorithm based on tensor decomposition, provides a comprehensive and refined data basis for subsequent analysis, and improves the accuracy of data fusion. And the intelligent decision-making and strategy optimization engine learns and generates an optimal decision-making strategy for various scenes of campus safety management by virtue of a plurality of advanced algorithms such as a consensus double-Q network algorithm, an artificial fish swarm optimization algorithm based on Levy flight, a particle swarm optimization algorithm based on quantum behaviors and the like.

The invention relates to the technical field of satellite loads, in particular to a working method and device of a satellite communication remote sensing fusion system, a medium and a program product. The method comprises the following steps: realizing time synchronization among components of the system through a high-precision clock and a comprehensive task management and control unit; on the basis of time synchronization, the comprehensive task management and control unit receives a user remote sensing demand sent by a satellite-ground feed communication load or a satellite-ground user communication load and analyzes the user remote sensing demand to obtain an analysis result; the comprehensive task management and control unit sends an instruction to the remote sensing camera based on an analysis result; the remote sensing camera shoots according to the instruction and sends remote sensing data to the comprehensive task management and control unit; and the comprehensive task management and control unit determines spectrum selection for data downloading according to the spectrum sensing information and downloads the remote sensing data based on the determined spectrum when a preset condition is met. The system can reduce the data volume of remote sensing data transmission while guaranteeing the timeliness and transmission rate of remote sensing information transmission.

The invention belongs to the technical field of hypersonic flight vehicle test, and relates to a hypersonic flight vehicle simulation flight test system based on a multi-modal large model, which comprises a data acquisition and fusion system and a control system. Through a data acquisition and fusion system and a cross-modal attention mechanism, efficient alignment and feature representation of time sequence data, environmental data and a historical case library acquired by a ground test system are realized, and the data acquisition and analysis precision is remarkably improved. In combination with a hardware system, effectiveness of test parameters is ensured, and the aircraft design and verification period is shortened. The control system dynamically adjusts test parameters through a natural language instruction, the model generates a structured control parameter vector through semantic understanding, the performance and stability of the aircraft control system are improved, the test operation complexity is reduced, and the user experience is improved.

The invention provides a vehicle-road cloud integrated multi-network integration system data classification and grading method, which realizes automatic data screening and marking through construction of a multi-scene data identification rule base and business process feature analysis, and solves the problem of standardized identification caused by lack of a unified classification framework of multi-source data. Semantic relation systematic modeling is achieved by means of a multi-layer architecture model and multi-layer model construction, and the problems of insufficient vehicle and road cloud cross-domain entity semantic abstraction and model fragmentation are solved; according to the method, quantitative evaluation of importance and sensitivity is achieved in combination with regulation requirements and modeled data, the problems that data classification and grading standards are missing and a safety evaluation system is imperfect are solved, a closed-loop process of data recognition, semantic modeling, model mapping and grading evaluation is formed, and the problems that in the prior art, a static rule is relied on, and safety evaluation is poor are solved. And changes of data types, interaction types and security requirements in a multi-network fusion scene cannot be dynamically adapted.

The invention discloses a multi-energy fusion system cooperative scheduling method and device in a port dynamic scene, and relates to the field of port energy system optimization scheduling, and the method comprises the steps: constructing a dynamic coupling relation model according to port data; according to the energy system power of each area at the current time point, a multi-objective optimization model is constructed, and objective functions of the multi-objective optimization model include operation cost minimization, total carbon emission minimization, energy storage equipment service life maximization, energy storage equipment power optimization and energy storage equipment power optimization. The constraint conditions of the multi-objective optimization model are power balance, energy storage charge state, electric hydrogen equipment capacity, berth distribution continuity and load demand priority; according to the multi-target optimization model and the port data of each region at the current time point, determining a target collaborative scheduling operation strategy of each region at the current time point, the target collaborative scheduling operation strategy comprising a multi-energy output distribution scheme, a load response instruction and an equipment operation parameter; and executing the target collaborative scheduling operation strategy of each region at the current time point.

The invention discloses a hydropower station computer monitoring operator station fusion system, which comprises a controlled plant computer monitoring system and an operator station fusion system, and is characterized in that a fusion operator workstation is directly connected with a local switch and a controlled plant switch through double independent network interfaces; a man-machine interface module is fused to uniformly manage monitoring and control of cross-plant equipment; and the data server and the switch adopt a dual-computer redundancy architecture and STP / LACP link redundancy, and are combined with AES-256 encryption and instruction bidirectional verification to improve the security. The system fuses multi-source data through an improved adaptive weighted Kalman filtering algorithm, predicts an equipment state trend by using an LSTM model, supports local / controlled priority mode switching, and automatically triggers data caching and instruction degradation when a network is abnormal. An original system does not need to be transformed, through physical direct connection and logic fusion, the framework is simplified, the operation and maintenance cost is reduced, efficient integration and reliable redundancy of multi-plant monitoring functions are achieved, and the system is suitable for large hydropower stations and one-plant multi-station scenes.

The invention discloses an FME-based adjacent pattern spot fusion method and system, and relates to the technical field of adjacent pattern spot fusion, and the method comprises the steps of data processing, parameter setting and rule configuration, adjacent pattern spot fusion execution, result verification and output and feedback and optimization, fusion standard and rule determination, index system unified evaluation, and spatial relationship optimization processing. Manual intervention is reduced through the automatic working process, and the processing efficiency is improved; the invention further provides an adjacent pattern spot fusion system based on FME, the adjacent pattern spot fusion system comprises a data preprocessing module, a data input module, a parameter setting and rule configuration module, a comprehensive correlation index calculation module, a pattern spot fusion module and a result verification and output module, and the adjacent pattern spot fusion method based on FME is executed.

The invention provides a new-generation information technology and landscaping supply chain fusion system, and belongs to the technical field of information technology and landscaping supply chain fusion. Landscaping supply chain management and data acquisition are improved in multiple aspects, data of each link are accurately acquired through multiple sensors and interfaces, manual recording errors are avoided, and the system is convenient to use. According to data analysis and processing, advanced technologies are utilized to predict growth trends and market demands, inventory management is optimized, an intelligent decision support module provides scientific purchase suggestions based on data results, an information interaction platform promotes information sharing and cooperation of all parties, and a visual monitoring module can find and process abnormities in time. The expandability and security of the system and the application of the mobile terminal adapt to development requirements, data privacy is protected, business processing is facilitated, the management efficiency and quality are integrally improved, and smooth implementation of a project is guaranteed.

The invention discloses a role playing model fusion system and method based on retrieval and reflection, and belongs to the technical field of natural language processing. The implementation method comprises the following steps: 1, performing data cleaning on original role historical dialogue data, and performing semantic screening by using semantic similarity to form historical dialogue context data; 2, event knowledge associated with the roles is constructed through association degree matching; 3, constructing a role reflection strategy mode by using historical dialogue data, and generating role reflection data; 4, when a user inputs a question, replying by adopting a multi-source fusion mode based on role thinking; compared with the prior art, in a multi-scene task, a dynamic retrieval role knowledge base is utilized to screen task related background knowledge, and a thinking mode modeling framework based on a role reflection mechanism and a context fusion strategy are constructed to generate high-quality answers conforming to the context; and thus, the fusion ability of the role playing model is improved, and the consistency of role words and language styles is realized.

The invention discloses a configuration processing method and device of a hyper-converged system, a storage medium and electronic equipment, and relates to the technical field of computer hardware, and the method comprises the steps that specified configuration information of a server is acquired, and the specified configuration information is configuration information of a basic input and output system of the server; the specified configuration information is analyzed, actual configuration values of a set of specified configuration items are obtained, and one specified configuration item in the set of specified configuration items corresponds to one function provided by the hyper-converged system; in a set of specified configuration items, under the condition that at least one configuration item with the actual configuration value inconsistent with the expected configuration value exists, the actual configuration value of the at least one configuration item is modified, and therefore the difference between BIOS configuration and the hyper-converged system requirement can be automatically detected and corrected; the configuration processing method of the hyper-converged system in the related technology has the problems of low deployment efficiency and poor reliability caused by high deployment complexity.

The invention discloses a sky-ground integrated data fusion management system and a method thereof, relates to the technical field of data processing, and aims to generate high-precision virtual space data by efficiently integrating and processing multi-source data and provide real-time decision support and data sharing functions for users. The system comprises a data access module, a data preprocessing module, a space generation module, a data adaptation module, a space-time alignment module, a space-time coordinate embedding module, a data fusion module, a global supervision module and a data service module. According to the method, accurate alignment and efficient fusion of data of different sources in time and space can be ensured, the system optimizes the data fusion accuracy by utilizing dynamic subdivision and cross-modal data association technologies, and meanwhile, the operation state of each module is monitored in real time through a global supervision mechanism and is dynamically optimized, so that efficient and stable operation of the system is ensured.

The invention discloses a multi-source industrial equipment data acquisition and fusion system and method, and relates to the technical field of data fusion. The method comprises the following steps: carrying out adaptive conversion and edge preprocessing on acquired information of industrial equipment, dividing the acquired information into key information and non-key information, respectively encrypting and transmitting the key information and the non-key information, and constructing a digital twin model of the industrial equipment and an acquisition point topology network of the digital twin model; simulation information, a time correction coefficient and a space correction coefficient of each acquisition point are acquired, correction information of each acquisition point is acquired according to the time correction coefficient and the space correction coefficient, a space-time correction model is constructed, and real-time correction information of each acquisition point is acquired by using the space-time correction model; judging the operation state of each industrial device and generating an abnormal signal for feedback; the data processing amount of the cloud can be reduced, and the operation state of the industrial equipment can be accurately reflected.

The invention discloses a self-adaptive synchronization method, system and platform for a multi-projector wiring-free splicing fusion system based on wireless communication. The method comprises the following steps: generating and acquiring first data corresponding to projectors; wherein the first data is state parameter data of the projector and at least comprises brightness data, color temperature data and picture size data; determining to generate second data corresponding to the first data, and generating corresponding third data based on the second data; wherein the second data is projector state parameter change data; the third data is verification code data; based on wireless communication and in combination with the third data, the second data is dynamically adjusted in real time, and the working states of all the networked projectors are synchronously processed, so that rapid, accurate and self-adaptive synchronization of the states of the multiple projectors under the condition of no wiring is achieved, and the system and the platform are convenient to use. And parameters such as brightness, color temperature and size of the spliced picture are consistent.

A data fusion system and a data fusion method that may effectively reduce redundancy and complexity after data amplification. The data fusion system includes a storage device and a processor. The storage device is configured to store a feature extraction module, a model building module, a model disassembly module and a data fusion module. The processor is electrically connected to the storage device. The processor is configured to execute the feature extraction module, the model building module, the model disassembly module and the data fusion module, and is configured to receive multiple form data. The feature extraction module extracts multiple feature data from the form data. The model building module performs a preprocessing operation on the feature data, and builds a prediction model. The model disassembly module disassembles the prediction model into multiple triples data. The data fusion module fuses the triples data into knowledge graph data.

The invention relates to an intelligent assistant interaction method, device and system based on multi-modal data fusion, and the method comprises the following steps: 1) multi-modal perception: a user sends an instruction, and the system collects data through multi-modal perception; 2) multi-modal fusion: the system performs semantic fusion on the collected multi-modal data to generate task semantic representation; 3) task generation and execution: the system decomposes sub-tasks according to task types and distributes the sub-tasks to related equipment or services; 4) interactive feedback: the system feeds back an execution result to the user through voice broadcast or a display screen; and 5) learning and optimization: storing and learning a high-quality conclusion after interaction feedback, and enabling the execution of an obtained instruction to be more accurate through learning. According to the method and the system, multiple modes are combined, so that the system supports multiple input modes of voice, vision and texts, and the user interaction experience is improved.

The invention discloses an SVG valve hall multi-source monitoring data fusion method and fusion system, and belongs to the technical field of power system equipment monitoring, and the method comprises the steps: carrying out the abnormal value and missing value data cleaning of initial data, outputting the preprocessed monitoring data, carrying out the algorithm matching of the preprocessed monitoring data to complete the time-space unification, and carrying out the fusion of the SVG valve hall multi-source monitoring data. Extracting associated features, forming a multi-source feature parameter set, quantifying data source reliability differences and locking key features by taking the multi-source feature parameter set as a reference, forming a dynamic fusion weight distribution scheme and key feature data, calling the multi-source feature parameter set, and eliminating feature conflicts; and generating a comprehensive fault diagnosis result and a health state evaluation index of the valve hall equipment, outputting early warning information and maintenance decision suggestions, and completing the whole data fusion closed-loop application. And a more efficient monitoring scheme is provided for safe operation of valve hall equipment.

The invention relates to the technical field of brain-computer interfaces, and particularly discloses a fusion system combining a brain-computer interface with transcranial electrical stimulation and a feedback stimulation method. The fusion system comprises a main machine part, an auxiliary machine part, a PCB substrate, a terminal integrated receiver and a feedback calculation module. The host part comprises an electroencephalogram signal acquisition device and a transcranial electrical stimulation device which are both installed on a PCB substrate. The auxiliary machine part comprises an MCU and a first wireless device which are both installed on the PCB substrate. The auxiliary machine part further comprises a battery which is connected to the MCU, the electroencephalogram signal collecting device and the transcranial electrical stimulation device. The terminal integrated receiver has a second wireless device. And the terminal integrated receiver is connected to the feedback calculation module. According to the fusion system, the electroencephalogram signal acquisition device and the transcranial electrical stimulation device are combined to acquire brain waves and feed back and adjust transcranial electrical stimulation parameters, so that nervous excitability can be better induced, and an electroencephalogram value is enhanced.

The invention relates to the technical field of deep mineral exploration, and discloses a deep metal mine multi-source geophysical data real-time fusion system. The system comprises a data access module which divides detection dimensions according to physical field types so as to receive original data; the space-time registration module is used for establishing mapping between original data and a unified space-time reference system through timestamps and space coordinates; the feature extraction module is used for extracting key features from the registration data, determining weights according to physical meanings and constructing a feature association network; the fusion decision module identifies an abnormal value and adjusts a network topology structure based on the credibility of the network evaluation data; and the real-time updating module is used for optimizing the fusion priority and algorithm parameters and generating a real-time fusion result library. According to the system, real-time fusion of multi-source geophysical data is realized, and systematicness and timeliness of data processing are improved.

The invention discloses a coding method and device for a radar image-oriented sensing fusion system. The method comprises the following steps of: S1, acquiring a data set; s2, establishing a semantic encoder model, wherein the semantic encoder model comprises a backbone network module and a neck network module; s3, establishing a neural network channel encoder model, wherein the neural network channel encoder model comprises a multi-scale fusion module and a redundancy increasing module; and S4, loading the feature information output by the neural network channel encoder model to a physical channel and sending the feature information. According to the scheme, the integrated design of the radar image communication and perception technology based on target detection is realized, and the semantic encoder model can effectively realize the fusion of the target detection technology and the semantic communication technology; and through the improved algorithm, the data has better robustness to noise interference.

The invention discloses a lightweight bimodal fusion system for RGB-infrared target detection. The lightweight bimodal fusion system comprises a backbone network, a neck module and a detection head network, the backbone network comprises a first feature extraction branch, a second feature extraction branch, a first multi-modal feature fusion layer, a second multi-modal feature fusion layer and a third multi-modal feature fusion layer; the neck module comprises a first up-sampling layer, a third feature fusion layer, a fifth feature decomposition layer, a second up-sampling layer, a fourth feature fusion layer, a sixth feature decomposition layer, a tenth convolution layer, a fifth feature fusion layer, a first self-calibration convolution layer, an eleventh convolution layer, a sixth feature fusion layer and a second self-calibration convolution layer which are connected in sequence; and the detection head network comprises three detection head modules and is used for outputting a target detection result. According to the method, the unmanned aerial vehicle can detect clear target contour information in a low-light environment, so that the success rate of target detection of the unmanned aerial vehicle is remarkably improved.

The invention provides a communication and inductance integrated fusion system, an index determination method, electronic equipment and a medium, and relates to the technical field of communication, the communication and inductance integrated fusion system comprises a fusion base station, a preset terminal and a fusion server, the fusion base station is provided with a passive Internet of Things module, and the preset terminal is provided with an RFID tag; the fusion base station is used for sending a first signal and receiving a second signal through the passive Internet of Things module, the first signal comprises a first sensing signal and an RFID excitation signal, and the RFID excitation signal multiplexes a waveform and a time slot resource of the first sensing signal and sends the second signal to the passive Internet of Things module; the second signal comprises a second sensing signal obtained after the first sensing signal is reflected by the preset terminal and an RFID uplink signal obtained after the RFID excitation signal is backscattered by the RFID tag; and the fusion server is used for performing fusion calculation according to the received second sensing signal and the RFID uplink signal so as to determine a sensing performance index. The perception performance of the system can be evaluated more comprehensively and accurately, and the accuracy of perception performance indexes is improved.

The invention discloses a nine-axis linkage intelligent welding process optimization method based on analogue simulation and digital twinning. An existing welding process mostly depends on artificial experience and single equipment control, and an integrated processing system of simulation prediction, equipment cooperation, virtual-real linkage and iterative optimization is lacked. According to the nine-axis linkage intelligent welding process optimization method, a platform is built based on simulation software, after a three-dimensional model of a to-be-welded component is built, the three-dimensional model of the to-be-welded component is subjected to multi-physics field coupling simulation processing to obtain welding data, the welding data is input into an AI multi-target optimization algorithm to form a simulation data training model, and the simulation data training model is used for training the to-be-welded component. Screening according to the simulation data training model to obtain a processing process of an optimal welding sequence and process parameters; through deep integration of intelligent equipment integration, technological process simulation optimization and digital twin control, the problems of low efficiency, poor quality and large deformation in a traditional manufacturing mode are systematically solved.

The invention discloses a radio frequency unit, a signal bias unit, a tail end unit and a fusion system, which are used for realizing a low-cost deployment scheme of an antenna system and a sensor system. The fusion system comprises a signal processing unit and N tail end units, the N tail end units comprise at least one radiation unit and at least one sensing unit, and / or comprise at least one radiation and sensing fusion unit, and the signal processing unit is used for sending a radio frequency emission signal and / or a sensing request signal to the N tail end units, or sending the radio frequency emission signal and / or the sensing request signal to the N tail end units. And receiving radio frequency receiving signals and / or sensing acquisition signals from the N tail end units. The radiation unit and the sensing unit are integrated in one set of feed network, so that deployment of an antenna system and a sensor system can be completed at one time, information transmission of the two systems can be completed by multiplexing a transceiving link in the same feed network, manpower and material resource costs are effectively saved, and the cost of the antenna system and the sensor system is reduced. And a low-cost deployment scheme of the antenna system and the sensor system is realized.

This document describes techniques and systems for fusion of object classes. Sensor data, related to an object, can be obtained from different types of sensor systems. Using techniques based on a Dempster Shafer framework, masses of each potential object class based on data from a respective sensor can be calculated. The respective masses of each potential object class, based on the different sensor systems, can be combined to generate a fused mass for each potential object class. Probabilities for each potential object class can be calculated based on the respective fused masses. An assigned object class for the object can be selected based on a probability exceeding some decision threshold. This assigned object class may then be available for an object tracker, an object fusion system, or other vehicle system resulting in a safer driving experience.

The invention discloses a process communication method, device and equipment based on an Android / Linux fusion system, relates to the technical field of artificial intelligence, and is used for solving the technical problems of low communication efficiency, poor stability and the like existing in an existing cross-system communication mode. The method comprises the following steps of: sending a calling request to a Binder driver by adopting a Binder adaptation layer of a Linux system; according to a label of a target Binder service in the Android system, adopting a Binder driver to send the calling request to the target Binder service; the target Binder service is adopted to send the calling request to a target process in the Android system for service logic execution, and a calling result is obtained; according to the method, the target Binder service is adopted, and the calling result is fed back to the communication bridge in the Binder adaptation layer through the Binder driver, so that compared with an existing cross-system communication mode, the Binder adaptation layer and the Binder driver are introduced into the Linux system, bidirectional communication between the Android system and the Linux system is achieved, and the problems that communication between the systems is low in efficiency, poor in stability and the like are solved.