577 results about "Information integration" patented technology

The invention relates to the technical field of machine vision, and discloses a machine vision-oriented cross-modal image-text analysis method, which comprises the following steps of: partitioning an input image to generate an image block sequence; inputting the image block sequence into a visual converter for multi-scale feature extraction, and generating target visual features; encoding the input text to generate a target text feature; inputting the target visual features and the target text features into a deep reconstruction bottleneck network for compression alignment, and generating a cross-modal compression vector; and inputting the cross-modal compression vector into a large language model to generate cross-modal decoding information, so that cross-modal redundant information can be effectively filtered, compact shared semantic representation can be learned, the information integrity of the compression process is ensured through bidirectional reconstruction verification, cross-modal semantic alignment is realized, and the method has the advantages of high efficiency and high reliability. Omnibearing cross-modal content generation from the whole to details is achieved, and the requirements of different application scenes are met.

The invention discloses a multi-dimensional information integrated transformer health state monitoring method, which relates to the technical field of power systems, and comprises the following steps: deploying a multi-source sensor, collecting various signals of a transformer, and carrying out signal conditioning and analog-to-digital conversion on analog signals collected by the sensor; performing timestamp alignment on the received multi-source heterogeneous data, and eliminating data noise by adopting a filtering algorithm; key features which are sensitive to the health state of the transformer and complement each other are selected from the extracted feature values to form a health state evaluation index set; setting a sliding time window, obtaining historical data in the window, performing normalization processing on the data, calculating the information entropy and the variation coefficient of each index, and fusing the information entropy and the variation coefficient to obtain the dynamic weight of each index; obtaining a health state index of the transformer according to the normalized value and the dynamic weight; and displaying the health state index and the change trend thereof in real time, and setting an early warning threshold value and an alarm threshold value of the health state index.

The invention belongs to the technical field of computers, and particularly relates to an information integration management method and system supporting real-time updating, and the method comprises the steps: accessing a heterogeneous data source through a distributed gateway, carrying out the adaptive analysis of a protocol, and standardizing a structure; adding a millisecond timestamp and a unique identifier, and generating a semantic data cluster through streaming engine sliding window association analysis; after multi-dimensional consistency verification is executed, writing and storing are carried out by adopting a double-buffering and snapshot isolation mechanism; and dynamically assembling the customized view according to the user role and the context and safely returning the customized view. The system correspondingly comprises a protocol analysis module, a time sequence marking module, a streaming association module, a semantic verification module, a double-buffer control module, an index updating module, a view assembling module and a secure transmission module. According to the invention, millisecond-level real-time convergence, conflict-free fusion and on-demand view output are realized, and the data access flexibility, the quality guarantee capability and the service adaptation flexibility are comprehensively improved.

The invention provides a hydro meteorology early warning method for an offshore oil and gas platform, and belongs to the technical field of offshore hydro meteorology. Extreme weather events are identified by adopting minimum probability abnormal event identification vectors to match abnormal characteristic parameters, and abnormal signal characteristic parameters are input into an ocean dynamics prediction model to calculate real-time sea condition parameters; calling a multi-temporal-spatial-scale early warning fusion matrix to combine with a wavelet decomposition technology and a recurrent neural network to realize multi-scale information integration, analyzing an environmental parameter change trend through a sea condition jump identification model and triggering an emergency response, dynamically adjusting system parameters according to a stability evaluation index vector, and optimizing prediction precision by adopting an early warning residual value compensation matrix. And finally, multi-level early warning information is generated and a real-time early warning notification is sent to an operator, so that the technical problem of insufficient early warning precision of an offshore oil and gas platform hydro meteorology early warning system in multi-spatio-temporal scale data fusion processing is solved.

The invention provides a large model agent interactive question and answer task decision-making method and system, and relates to the technical field of natural language process.The method comprises the steps that 1, user input is received through multiple rounds of dialogues, key information is extracted to form an initial memory node set, meanwhile, fuzziness and information integrity of a query intention are analyzed, and an initial memory node set is obtained; generating an uncertainty evaluation result; and step 2, based on the uncertainty evaluation result, evaluating the timeliness and importance degree of each node, generating an enhanced memory node set, and constructing a dynamic memory structure according to a semantic and sequential relationship to form a structured memory network. According to the method, the understanding accuracy of the intelligent agent on multi-round dialogue contexts, the logic continuity of decision response and the continuous adaptability of task processing capacity are improved.

The invention relates to the technical field of natural language processing, in particular to an archive structured information extraction method and system based on a multi-modal large model and a medium, and the method comprises the following steps: S1, establishing a mapping table of fields to be extracted; s2, data annotation; s3, constructing a layout analysis model, an archive structured extraction model and an archive structured integration model; s4, screening key information pages based on the layout analysis model; s5, extracting single-page structured information based on an archive structured extraction model; and S6, based on the archive structured integration model, integrating single-page structured information results. Through application of the multi-modal large model, accurate layout analysis, strong structured extraction capability and efficient information integration are realized, automatic extraction and integration from archive image data to structured information are realized, manual intervention is reduced, and processing efficiency is improved.

The invention relates to the field of artificial intelligence, in particular to a long text segmentation information retrieval result coherence enhancement method, system and equipment based on a knowledge graph, and the method comprises the following steps: receiving a long text input by a user; segmenting the long text into a plurality of segments according to a preset length, and recording the original position and sequence of each segment; performing named entity recognition on each fragment, and extracting a key entity; querying related information in a knowledge graph according to the key entity, and obtaining attributes of the entity and a relationship between the attributes; integrating the related information obtained by query into the corresponding text fragment to form a context enhanced fragment; receiving a user query request; calculating a correlation score based on the context enhanced fragment and the user query, and retrieving a related text fragment by using a hybrid retrieval strategy; and selecting the related text fragment with the highest score to generate a final answer, and outputting the final answer to the user. Therefore, the information integrity and the context continuity in the retrieval process are ensured.

The invention discloses a question answering method and device based on retrieval enhancement generation, a medium and equipment, and relates to the technical field of computers. According to the method, related candidate sub-graphs are matched in an existing structured knowledge graph according to the query problem of a user, and the candidate sub-graphs are further judged to be insufficient to deal with the query problem through logical reasoning; according to the method, sparse keyword vectors of query questions based on surface vocabularies and dense question vectors based on context deep dependency are further extracted; matching the query question with a sparse semantic vector of each text block of the unstructured text based on surface vocabularies and a dense semantic vector of each text block based on context deep dependency, which are acquired in advance, so as to determine the text block related to the query question from the unstructured text; the candidate sub-graphs are further converted into graph structures to supplement the candidate sub-graphs, answers corresponding to the query questions are generated based on the graph structures, and the performance of questions and answers in multi-hop reasoning and information integration retrieval recall is improved.

The invention provides a PDF document intelligent word segmentation method based on content structure perception, and belongs to the technical field of computer information.The PDF document intelligent word segmentation method comprises the steps that firstly, by fusing layout analysis and multi-tool analysis, multiple types of content such as title levels, ordinary tables, characters in pictures and tables in the pictures in a PDF are accurately recognized and extracted; secondly, providing a structure-perceived word segmentation strategy, and carrying out differentiation processing according to content types, namely, dividing semantic blocks by taking a title as a guide, taking a complete table as an independent semantic unit, and carrying out context association on a picture OCR (Optical Character Recognition) result; and finally outputting high-quality knowledge fragments rich in metadata such as levels and types. According to the method, the information integrity and semantic accuracy of the PDF document during construction of the large model knowledge base can be remarkably improved.

The invention relates to the technical field of machine vision detection, in particular to a surface defect detection method and system based on curved surface coding and multi-view fusion, and the method comprises the steps: constructing a curved surface coding illumination system, generating a coding light field, and projecting the coding light field to a target surface; synchronously acquiring reflection images of the coded light field through a multi-view imaging device, and obtaining a multi-dimensional view image data set; separating light components from the multi-dimensional view image data set, and extracting a defect feature set; performing multi-view information integration on the defect feature set to obtain comprehensive defect features; and performing defect judgment and parameter calculation on the target surface based on the comprehensive defect characteristics, and outputting a defect detection result. By adopting curved surface coding illumination and multi-view fusion, gradient information carried by a coding light field and multi-view imaging to supplement space details, accurate detection of surface and subsurface defects is realized, the adaptability to high-curvature and multi-reflection characteristic targets is improved, and the problem of insufficient detection precision of irregular reflective surface defects is solved.

The invention relates to the technical field of voice signal processing, and discloses a voice segmentation intelligent editing system based on deep learning. The system comprises a voice feature extraction module, a segmentation boundary detection module, a semantic content analysis module, an editing strategy generation module and a real-time quality evaluation module. The voice feature extraction module collects multi-dimensional voice features and timestamp information, and verifies feature integrity and timeliness; the segmentation boundary detection module identifies voice pause intervals and semantic turning nodes and divides segmentation units and boundary types; a semantic content analysis module extracts text content and emotion features of each segment, and analyzes semantic topic relevance and information density; an editing strategy generation module formulates a segmentation retention rule and a sequence adjustment scheme, and matches user preferences and scene demands; the real-time quality evaluation module monitors voice fluency and information integrity in the editing process and analyzes splicing errors and user feedback. According to the system, intelligent processing of the whole voice editing process is realized.

The invention relates to a multi-round compression super-long text summarization system and method based on a large language model, and belongs to the technical field of natural language processing. The system comprises a text partitioning module, a semantic map construction module, a multi-round compression controller, a hierarchical abstract generator and an abstract fusion optimization module, a global semantic structure is extracted through semantic partitioning and map construction, a compression strategy is dynamically planned in the multi-round compression process, and a local abstract is generated. And finally fusing, optimizing and outputting a consecutive and redundancy-removed summary text. According to the scheme, the context length limitation of a large language model is broken through, and the information integrity and the processing efficiency of the super-long text abstract are improved.

The invention provides an external plug-in system based on retrieval enhancement. The external plug-in system comprises an indexing module, a retrieval module and a generation module, the index module is used for performing cleaning, segmentation, organization, semantic coding and storage tasks of text data; the index module comprises a dynamic data management sub-module, a strategy decision case library management sub-module, a Chinese character recursive segmentation sub-module, a tree index structure construction sub-module and a vectorization storage sub-module; the retrieval module is used for completing semantic matching and sorting on the basis of the structured index; the retrieval module comprises a double-tower rough arrangement sub-module, a cross fine arrangement sub-module, a real-time update sensing sub-module and a cache management sub-module; the generation module is used for carrying out integration and semantic modeling on the high-quality intelligence information provided by the retrieval module; the generation module comprises an information integration and reasoning sub-module and a credibility evaluation and feedback sub-module; the method supports fact alignment, real-time updating, logic interpretability and output evaluability.

The invention relates to a GIS (Geographic Information System) basin-type insulator defect detection method, electronic equipment and a storage medium, belongs to the technical field of intelligent image identification and processing of power equipment, and solves the problem of how to improve the accuracy of GIS basin-type insulator defect detection. The method effectively improves the resolution and information integrity of defect images, constructs a MobileNetV2 and YOLOv11n lightweight network structure for the technical bottlenecks of large FMC data volume and complex imaging calculation, achieves the intelligent closed-loop process from defect identification, positioning and classification to segmentation evaluation, achieves the automatic identification and geometric quantity extraction of defect areas, and improves the accuracy of the detection result. A data support is provided for subsequent early warning judgment and decision making; according to the method, the ultrasonic detection identification precision and the imaging quality are effectively improved.

The invention discloses an industrial equipment operation state monitoring and abnormity early warning method and system based on acoustic characteristics. The system comprises a multi-channel acoustic data acquisition module, an acoustic data preprocessing and enhancing module, a robustness acoustic feature extraction module, a deep learning abnormal mode recognition module, an abnormal early warning and auxiliary positioning module, an intelligent diagnosis and early warning enhancing module and a data storage and management module. The method comprises the following steps: collecting multichannel acoustic data, and extracting time domain, frequency domain and time-frequency domain robustness features after noise reduction, screening and framing preprocessing; identifying equipment abnormity through a deep learning model; a microphone array is combined to analyze the sound source direction and position abnormal equipment, and early warning information is generated; and integrating SCADA / DCS process data, and generating graded early warning and operation and maintenance suggestions. The method can adapt to a complex noise environment, accurately recognize early abnormity, provide intelligent diagnosis, support predictive maintenance and reduce fault risks.

The invention relates to a recording method and system of an electronic medical record, and aims to comprehensively and systematically collect health information of a patient through diversified input terminals, improve information input efficiency, ensure information integrity and promote team cooperation. The system comprises a medical professional terminal, a patient direct related terminal and other patient related terminals, supports information input in various forms of pictures, characters, videos, audios and the like, and covers various input devices such as portable devices, professional examination instruments and the like. And the information storage module ensures accurate homing of the data and supports cross-mechanism data integration and sharing. The system also has the functions of electronic medical record automatic generation, treatment tracking, symptom and sign extraction, intelligent analysis and early warning and the like, provides efficient and accurate information support for medical services, optimizes medical resource configuration, and enhances medical experience of patients. The method is suitable for modern medical management, and particularly has remarkable advantages in the aspect of improving the intelligence and integration level of an electronic medical record system.

The invention discloses a cigarette cut tobacco batch production circulation control system and method based on single-point condition judgment, and the system comprises a work order parameter verification module which is used for receiving a work order issued by a scheduling system, and carrying out the work order information integrity verification, process parameter compliance verification and equipment suitability verification; the regular expression configuration module is used for providing a visual interface and configuring a regular judgment rule set of equipment starting conditions, ending conditions and abnormal ending conditions; and the single-point judgment execution mechanism is embedded into the PLC control layer, acquires equipment parameters in real time, dynamically evaluates regular conditions based on a finite-state machine model, and triggers an equipment start-stop instruction. According to the system, the cigarette cut tobacco batch switching time is remarkably shortened, and the work order circulation efficiency is improved; the manual intervention frequency is further reduced, and the misoperation rate is further reduced; and the problem of production interruption caused by disconnection of the equipment state and the process parameters is solved.

The invention provides a mine operation safety early warning method and system, and relates to the technical field of mine safety monitoring. Through multi-source data fusion, dynamic scene portrait construction, machine learning risk identification and a grading early warning response mechanism, the technical problem that information integration is difficult due to fragmentation of a traditional monitoring means, stiffness of a static threshold value alarm mechanism and data island is solved, and the mine safety early warning method has the remarkable advantage of improving mine safety early warning precision and timeliness.

The invention discloses a privacy protection type video fuzzy processing method and device. The method comprises the following steps: S1, detecting a privacy area and a type in real time; s2, predicting a motion track of the privacy area; s3, dynamically adjusting the fuzzy strategy; s4, processing the privacy area; s5, fusing and outputting the protected video; according to the invention, through the multi-mode privacy identification model and optical flow trajectory prediction, the privacy information of the moving target is continuously and accurately positioned, and in combination with sensitivity evaluation, the privacy protection intensity and the video information integrity are balanced under the change of a complex scene; an adaptive fuzzy algorithm is adopted, contour natural transition is reserved, key feature points are only tracked in a privacy area, a fuzzy area is automatically expanded for an emergent high-speed target, and the response requirement of a real-time monitoring scene is met; through a metadata embedding technology, full-link auditing of a privacy processing process is supported, and a sensitive scene threshold value and a boundary extension pixel value enable the system to be flexibly adaptive to different security and protection grade scenes.

The invention discloses a multi-machine system number-real consistency error collaborative prediction method and system based on multi-agent reinforcement learning, and belongs to the technical field of multi-robot systems and artificial intelligence. According to the method, each robot is modeled as an intelligent agent, a centralized training distributed execution framework is adopted, and collaborative prediction of errors is achieved. Each agent collects own, neighbor and environment state information in real time, multi-source information integration is carried out through feature embedding and gating fusion, the influence of different information sources on errors is dynamically evaluated by adopting a layered attention mechanism, and propagation and coupling rules of the errors in a cluster are effectively modeled. In the training stage, the centralized commentator network is utilized to evaluate the global prediction performance, the cooperative optimization of each executor network is guided, and the prediction precision is improved. According to the method, active and collaborative prediction of the multi-machine system number-real consistency error is realized, and a key technical support is provided for error feed-forward compensation and system reliability guarantee.

The invention discloses a smart park security system based on a GIS technology, and belongs to the technical field of security protection. Comprising a GIS basic service module, a security element plotting module, a basic element visualization module, a multi-source heterogeneous security information integration module, a data storage and management module, a depth feature extraction module, a model training and real-time reasoning module and a control response and verification module. And the GIS basic service module is used for providing a unified space reference and geographic information service and supporting coordinate conversion, space analysis and map rendering. Based on the unified space reference capability of the GIS basic service module and in combination with the GPS RTK positioning and Beidou dual-mode positioning of the security element plotting module, precise space association of the park security equipment is realized, the plotting position is precise, the real-time operation state of the equipment can be deeply bound with GIS coordinates, and a manager can intuitively master the dynamic state of the equipment through a map, so that the management efficiency is improved. The problems of fuzzy plotting and state disjunction of a traditional system are solved.

The invention discloses an intelligent information acquisition method and system for a steel pipe galvanizing production line, and relates to the technical field of information acquisition optimization. An intelligent information acquisition system for a steel pipe galvanizing production line comprises a steel pipe galvanizing production information acquisition module and a steel pipe galvanizing production optimization module. According to the method, the metal vapor concentration, the iron-zinc alloy layer frequency spectrum signal and the zinc liquid temperature data are collected at high frequency, and the dynamic zinc explosion risk coefficient is quantitatively analyzed, so that real-time early warning of a potential zinc explosion event is realized; compared with a traditional method depending on macroscopic temperature or concentration observation, the zinc explosion risk can be recognized in advance, the occurrence probability of zinc explosion accidents is remarkably reduced, and production safety is improved; according to the system, galvanizing production parameters, galvanizing liquid components, production microscopic signals and steel pipe state data can be collected at the same time, full-process and multi-dimensional data coverage is achieved, information integrity is guaranteed, and a reliable basis is provided for production monitoring and analysis.

The invention discloses an intelligent document compliance auditing system and method based on multi-modal deep learning, and belongs to the technical field of information processing, and the system comprises a data recognition module which is used for recognizing multi-modal data in a target document, the multi-modal data comprises a text, an image, a table and a scanning copy, carrying out information integration on the multi-modal data, and carrying out information processing on the integrated information; the information integration comprises the step of carrying out association analysis on data in images and tables and character description in texts; the compliance auditing module responds to information integration and is used for conducting compliance auditing on the target document after information integration, and compliance auditing comprises illegal content and format errors. According to the method, efficient and accurate compliance auditing is realized by identifying and integrating the multi-modal data in the document, illegal contents and format errors can be accurately identified, the risk level is evaluated, targeted countermeasures are formulated, and the auditing efficiency and accuracy are improved.

The invention specifically relates to a remote safety officer allocation system and method for a pilotless automobile, and relates to the technical field of pilotless automobiles, and the system comprises a vehicle state monitoring and data collection module; a communication and network guarantee module; a security officer resource management module; the task scheduling and dynamic coordination module is configured to perform intelligent task allocation based on vehicle requirements and safety officer states to realize optimal resource allocation; and an emergency response and decision support module. According to the invention, the vehicle state monitoring and data acquisition module fuses data of multi-source sensors such as a laser radar and a camera and high-precision positioning information, realizes no-dead-corner environment perception, and improves the integrity of environment information compared with a traditional scheme; after the edge computing node preprocesses the original data, the cloud data transmission quantity is reduced, satellite double-channel communication redundancy is combined, it is ensured that the emergency instruction transmission delay is reduced, and the response speed is increased compared with a single network scheme; and the accident risk caused by data delay or interruption is reduced.

The invention relates to the technical field of data processing, in particular to a complex semantic-oriented business process multi-agent modeling and intelligent error correction method and system. The method comprises the following steps: firstly, based on a BPMN meta-model, disassembling business process elements, analyzing BPMN specifications, forming a structured framework of business process modeling, processing unstructured texts in parallel through an intelligent agent group, identifying business process key concepts, mapping the business process key concepts into semi-structured information, and generating a preliminary extraction result; verifying the integrity of the preliminary extraction result based on a BPMN specification, and generating an information integrity verification report; based on an information integrity verification report, missing information of the preliminary extraction result is retrieved through a knowledge base and complemented; performing secondary verification on the complemented extraction result, and correcting the complemented extraction result based on business logic and user requirements; and generating an XML code and a visual flow chart conforming to the BPMN specification based on the corrected extraction result. According to the method, the problems of semantic fracture and structure deficiency of the complex semantic text in business process modeling can be effectively solved.

The embodiment of the invention provides a robot and an operation method and device thereof, a storage medium and a program product. The method comprises the steps that natural language instruction information and multiple robot sensing data are received; performing spatial feature extraction processing based on at least part of the robot sensing data to obtain spatial feature information of the corresponding robot sensing data; performing time sequence feature fusion based on the spatial feature information of the perception data of the at least two robots to generate space-time semantic implicit representation information; performing cross-modal interaction based on the natural language instruction information and the space-time semantic implicit representation information to generate space target representation information; and path planning and / or action control are / is carried out based on the spatial target representation information, so that the robot is controlled to execute operation corresponding to the natural language instruction information. Therefore, high information integrity can be kept under the condition of low computing power, serious information loss caused by white list detection is reduced, and the universality of robot operation control is remarkably improved.

The invention relates to a retrieval routing optimization method and device based on a distributed retrieval system, and relates to the field of computer technology distributed retrieval, the method comprises the following steps: obtaining inverted metadata of a document, including routing information, fragmentation information and a document storage identifier, judging whether the document is a new document, and combining the resource state and availability of each node to optimize the retrieval routing optimization of the document. And determining an optimal routing path by adopting an optimal execution fragmentation formula. A retrieval request is split into a plurality of sub-requests and is directionally issued to a target fragment, and the coordination node integrates return results of the fragments and then returns the return results to the client. The device comprises an information integration module, an inverted metadata recorder and a retrieval routing control module, and supports a dynamic configuration routing strategy, a document state refreshing mechanism and performance monitoring parameters. By introducing the document state identifier, the dynamic routing algorithm and the node resource monitoring mechanism, accurate routing and efficient processing of the retrieval request are realized, so that the retrieval performance and the resource utilization rate of the system are improved.

The invention relates to a multispectral video dynamic registration method and system of a refrigeration type infrared imager. The method comprises the following steps: acquiring a multispectral video, extracting spectral feature data by adopting a spectral band separation algorithm, constructing a feature retrieval framework in combination with a time sequence information integration and spatial information extraction technology, and retrieving to obtain an initial spectral feature positioning result; performing feature enhancement and dimension reduction processing on the initial result by using a multi-dimensional information fusion technology, then recombining the initial result into a structured feature data set, acquiring real-time environment change data, registering the data set by using a preset dynamic registration model based on the real-time environment change data to generate a preliminary registration result, and calculating a registration error of the result; and adaptively updating the dynamic registration model by means of a preset closed-loop feedback control mechanism until a stable registration result is obtained. According to the method, through multi-dimensional feature processing and a closed-loop feedback mechanism, dynamic and accurate registration of a multispectral video is realized, and the registration stability and precision in a complex environment are improved.

The invention relates to the technical field of industrial internet, in particular to a control system and method for stirrer production. Comprising an edge data preprocessing unit, a flexible production instruction distribution unit and a working condition diagnosis and protection control unit. By constructing an integrated control parameter mapping model, an industrial operation signal is converted into a collaborative sensing digital primitive; the production task is compiled into an intelligent production execution process cluster based on a resource scheduling algorithm, and equipment is driven to execute differentiated production; and performing situation assessment on the digital primitives by using the anomaly detection model, and generating a regulation and control instruction to execute process logic recombination and safety protection. According to the invention, the problems of low production information integration level and tight data in each link of a production control system are solved, and flexible scheduling and active security defense in the production process are realized.

The invention relates to the technical field of natural language processing, in particular to a verifiable large model retrieval enhancement generation system and method based on an evidence chain, and the method comprises the steps: receiving an initial query, recognizing the fuzziness and information gap of the initial query in combination with an associated retrieval document, and generating a supplementary query set; based on the initial query, the supplementary query and the corresponding retrieval document, generating candidate answers with references and verifying the information supportability of the candidate answers; for the candidate answers passing the verification, extracting support information and constructing a hierarchical attribution mapping relation; and integrating the information to form to-be-evaluated information, and if the current verified to-be-evaluated information meets a preset sufficiency condition, integrating the generated preliminary answer and the to-be-evaluated information to synthesize a target answer. The method effectively overcomes the defects that a traditional RAG system is fragmented in information integration, has one-sided fuzzy query and answer, is low in attribution efficiency and excessively depends on retrieval content, and has the advantages of answer comprehensiveness, verifiability and deployment lightweighting.