320 results about "Visual presentation" patented technology

The invention discloses a multi-modal data fusion-based intelligent management system for a thoracic surgery monitoring unit, belongs to the technical field of medical information and artificial intelligence, and aims to solve the limitation of an existing thoracic surgery monitoring system in the aspects of multi-modal data fusion, heterogeneous data semantic alignment and intelligent deep analysis and prediction decision. The system is characterized by comprising a multi-modal data acquisition unit, a heterogeneous data fusion and semantic alignment module, an intelligent analysis and prediction decision module, a man-machine interaction and visual presentation module and a secure storage and management module. By the adoption of the technical scheme, comprehensive multi-modal data fusion, high real-time performance, deep intelligent analysis and prospective prediction can be achieved, intelligent decision support, resource optimization, continuous learning and self-adaptive optimization are provided, and the intelligent level and patient management efficiency of the thoracic surgery intensive care unit are remarkably improved.

The invention discloses an offshore wind power fault monitoring method based on a knowledge graph and digital twinning, and aims to solve the problems that multi-source data acquisition is dispersed, the transmission delay is high, and real-time convergence and integration are difficult to realize in the operation state monitoring of offshore wind power equipment. According to the invention, the following modules are provided: a multi-source data acquisition layer is used for solving the problems of dispersed data acquisition and transmission lag and ensuring the real-time performance; the knowledge graph construction module is used for solving the problems of extraction, fusion and storage of equipment entity relationships; the digital twin modeling module realizes visual presentation and accurate simulation of the state of physical equipment; the fault monitoring reasoning module solves the problems of anomaly detection and root cause positioning; the intelligent early warning decision module determines an early warning level and efficiently matches a solution; the visual interaction module solves the problems of scattered information display and poor linkage, supports third-party docking, realizes accurate early warning and root cause positioning, improves the decision-making efficiency, adapts to severe environments, supports large-scale wind power plant monitoring, and reduces the operation and maintenance cost.

A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user / entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies / threats were previously known. The security platform can include both real-time and batch paths / modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.

The invention discloses a digital animation role dynamic generation method based on a generative model. The method comprises the following steps: inputting a role original image and scene background information, extracting skeleton key points and scene features, analyzing an action sequence, predicting a motion track, calculating an optimal position of a role in a picture, and carrying out dynamic adjustment. And according to the role position, obtaining morphological feature data, evaluating the quality grade, and optimizing the coordination of the role image. And finally, comprehensively scoring by adopting a multi-dimensional quality evaluation system, and determining the visual presentation quality of the role. According to the method, deep fusion of role actions, positions and scenes is realized, the dynamic expressive force and visual coordination of animation pictures are improved, and an efficient solution is provided for generating high-quality animation contents.

The invention discloses an intelligent geophysical exploration geological exploration analysis system, and relates to the field of geological exploration, and the system comprises a collection and preprocessing module which is used for carrying out the adaptive collection of multiple types of geophysical field signals of a target exploration region, and synchronously carrying out the preliminary noise reduction and quality optimization of original signals through signal purification processing; the fusion module is used for receiving the preprocessed multi-type geophysical field signals and carrying out normalization and feature depth correlation fusion on coordinates of data of different dimensions through spatial-temporal feature correlation processing; the method can dynamically adapt to environmental noise optimization signal acquisition, extracts stratum recessive characteristics through multi-dimensional data fusion and intelligent mining, constructs an accurate three-dimensional geologic model, positions stratum attribute deviation and grades through multi-scale analysis, presents exploration results in combination with three-dimensional visualization, and generates target region optimization suggestions.

The invention provides a document processing method and device. The method comprises the steps of obtaining a to-be-processed demand document; calling an intelligent agent to perform format conversion on the to-be-processed demand document based on prompt information associated with the intelligent agent to obtain a structured tagged document in a markup language format returned by the intelligent agent; the prompt information is obtained by filling a prompt template of an intelligent agent based on a sample demand template obtained in response to the selection operation, and the prompt information is used for guiding the intelligent agent to perform structured recombination and formatted output on the content of the demand document to be processed according to structured fields and levels defined in the sample demand template; on the basis of the structured marking document, the configured online structured template is filled, and the online structured demand document supporting visual presentation and / or interactive editing is generated, so that the document processing efficiency and accuracy are improved, errors and omissions possibly occurring in manual processing are avoided, and the user experience and the working efficiency are improved.

The invention discloses a method and system for generating a financial information graph of a user through a financing platform, and relates to the technical field of financial information. The method is used for solving the problems of weak user operation data association and inaccurate risk assessment in a traditional financing platform. Firstly, multi-dimensional analysis based on transaction semantic recognition is performed on a user bank flow, transaction scene features are extracted, and a supply chain core enterprise fund flow path is recognized; then, a cash flow-supply chain cooperation efficiency coefficient is calculated in combination with order account period information, and enterprise fund turnover efficiency is quantified; then, constructing a dynamic weighted supply chain network topology based on the coefficient, and identifying key fragile nodes through a graph neural network; and finally, fusing cooperation efficiency and risk characteristics, predicting enterprise performance capability through a dynamic attention mechanism, generating an interactive dynamic information graph of a fund flow path, a supply chain state and a risk result, and realizing intelligent analysis and visual presentation of a financing platform on an enterprise operation state.

The invention relates to the technical field of computers, and discloses a visual operation and maintenance supervision platform based on a digital twinning technology, and the platform comprises a data preprocessing module which is used for preprocessing a multi-source heterogeneous monitoring data flow; the data fusion module is used for constructing an equipment topological relation graph, extracting an initial feature vector set of equipment nodes and carrying out space-time fusion; the digital twin modeling module is used for performing parametric modeling and semantic annotation; the real-time synchronization module is used for extracting a model updating instruction set and carrying out asynchronous message transmission and parallel updating; the anomaly detection module is used for training an anomaly detection model and analyzing anomaly types and anomaly reasons; the root cause tracing module is used for constructing an associated sub-graph of abnormal equipment, predicting a root cause candidate equipment list and carrying out hybrid reasoning and evidence fusion; the visual presentation module is used for visualizing a fault influence range, dynamically displaying network traffic and performing multi-view roaming and information drilling; according to the invention, the fault positioning efficiency and the operation and maintenance management level are improved.

The embodiment of the invention discloses a coal mine multi-source geological data dynamic diagnosis system and method based on a knowledge graph, and the system comprises a data collection module which is used for collecting and preprocessing multi-source heterogeneous data, and obtaining a standardized database; the data fusion module is used for determining a geological knowledge map, performing multi-source data knowledge extraction on the standardized database, performing knowledge fusion and conflict resolution, obtaining a knowledge triple and updating the geological knowledge map in real time; the intelligent diagnosis and decision module is used for identifying abnormal events in the standardized database, and performing graph traversal and evidence fusion based on the geological knowledge graph to obtain a diagnosis conclusion; a geological situation is adapted to obtain a diagnosis model, and an optimized diagnosis model is obtained through an incremental learning mechanism; and the decision application module is used for performing three-dimensional visual presentation on the diagnosis conclusion and the geological knowledge map, generating a diagnosis report, updating the geological knowledge map based on the feedback data flow and optimizing the diagnosis model. According to the invention, the accuracy and real-time performance of dynamic diagnosis can be improved.

The invention relates to the technical field of river and lake health diagnosis and evaluation, in particular to an intelligent river and lake health diagnosis and evaluation system and method fusing remote sensing and monitoring data, and the method comprises the steps: firstly obtaining remote sensing image data and ground monitoring data, and constructing a multi-source fusion data set through space-time registration and scale normalization processing; based on an index system covering five dimensions of hydrology, water quality and the like, calling a corresponding algorithm model to calculate and standardize health indexes; then, through dual-channel collaborative diagnosis formed by a rule inference engine and a depth feature mining model, a diagnosis result is optimized in combination with a bidirectional feedback mechanism; and finally, fusing the two diagnosis results by adopting an evidence theory algorithm to generate a comprehensive evaluation index, a health level and a problem diagnosis conclusion, and associating spatial geographic information to generate an evaluation map. According to the invention, accurate diagnosis and visual presentation of river and lake health are realized, and scientific support is provided for river and lake management and restoration.

The invention relates to the technical field of data analysis, and discloses a low-code data analysis platform and method based on multi-source data real-time access, and the platform comprises a data access module, a modeling module, a rendering engine and an early warning module. The method corresponds to the platform. According to the method and the device, the problems of real-time integration and standardization of the multi-source heterogeneous data are solved by obtaining the standardized data entity, and a high-quality data basis is provided for subsequent analysis; a dynamically constructed knowledge graph and a graph embedding technology are deeply fused into a data analysis process, so that semantic association among data entities is intelligently understood, an optimized query statement is automatically generated, intelligent recommendation and rationality verification are provided for establishing a data association relationship for a user, and the technical threshold of data modeling is reduced; a second-level response closed loop from data access to visual presentation is formed based on intelligent chart recommendation of data features and early warning rules and instant calculation and triggering in a real-time data stream.

The invention discloses an energy consumption risk index system construction method, system and device based on knowledge graph modeling and a medium, and belongs to the technical field of energy system risk management, and the method comprises the steps: constructing a dynamic knowledge graph ontology based on a risk propagation operator; based on the dynamic knowledge graph, calculating equivalent impedance of a risk conduction path and identifying a key path, performing risk potential energy field dynamic simulation, and generating a global risk index; receiving a user instruction to perform situational pruning on the global atlas, and generating a focus sub-atlas; receiving an intervention instruction on the focus subgraph, simulating an intervention measure and deducing a new index after the change of the risk field; and based on the risk index and the key path data, generating an interpretable risk cause knowledge card and performing visual presentation. According to the method, the full-chain capability from risk conduction quantification, global situation simulation, man-machine collaborative pruning and intervention deduction to interpretable analysis is realized, and the refinement, intelligence and credibility level of energy system risk management is improved.

The invention relates to the technical field of eyelid mechanical correction, and provides a precise and adjustable eyelid mechanical correction system which comprises a lower attaching part, an upper fixing part, a middle mechanical adjusting mechanism and an intelligent sensing and data interaction subsystem, and the lower attaching part, the upper fixing part and the middle mechanical adjusting mechanism are combined into a wearable intelligent correction patch; the lower fitting part is used for fitting the skin surface of an upper eyelid and providing a fitting basis for eyelid correction; the upper fixing part is used for being attached to the rear upper portion of the eyebrow or the skin of the eyebrow bone and providing stable fixing support for the whole system. The middle mechanical adjusting mechanism is connected with the lower attaching part and the upper fixing part and serves as a core component for accurately controlling the lifting force of the eyelid; and the intelligent sensing and data interaction subsystem is used for collecting key data in a correction process, realizing visual presentation of a treatment process, recording and storing the data and guiding and adjusting clinical rehabilitation. As a medical instrument for eyelid function correction and treatment, eyelid correction is achieved through precise mechanical regulation and control.

The invention provides a robot self-viewing angle training data generation method, device, equipment and medium, a second joint vector sequence of a target mechanical arm under a new self-viewing angle is generated based on viewing angle movement information and a first joint vector sequence corresponding to a first robot operation video, and a second joint vector sequence of the target mechanical arm under a new self-viewing angle is generated based on the viewing angle movement information. Performing view angle conversion and video rendering processing on a video background in the first robot operation video and a target mechanical arm to generate a new background video and a new mechanical arm action video, and performing video fusion on the new mechanical arm action video and the new background video to obtain a second robot operation video; and second training data of the self-view angle of the mechanical arm is constructed based on the second robot operation video and the second joint vector sequence, so that strong coupling matching of visual presentation and joint action parameters under the new self-view angle is achieved, and the strategy learning requirement of the VLA model under the self-view angle change scene is met.

The invention belongs to the technical field of port multimodal transport scheduling, and particularly relates to a port multimodal transport collaborative scheduling system and method based on real-time data. According to the invention, through the data access and standardization module, the emergency judgment module, the scheduling adjustment measure generation module and the visual presentation and interaction module, automatic judgment and strategy matching of four types of emergencies such as ship delay and storage yard congestion are realized, and an overall scheme of multimodal transport cooperative scheduling is determined. Cooperative scheduling of ship-port-railway-road multimodal transport is facilitated, manual intervention is reduced, response time is shortened, and emergency processing efficiency and safety are improved. Dynamic visualization of full-chain data is achieved through the collaborative dispatching board, differentiated permissions are configured for port dispatchers, railway dispatchers and cargo owners, data safety is guaranteed, the efficient collaborative effect of multiple subjects is achieved, collaborative barriers caused by information asymmetry are solved, and information sharing and collaboration are promoted.

The application discloses a regional culture visual element dynamic reconstruction method and system based on a knowledge graph, relates to the technical field of knowledge graphs, and calculates and judges whether user behavior data can accurately reflect the real semantics of culture elements, so that the algorithm does not blindly perform visual presentation of regional culture according to the user behavior data, reduces the phenomenon that part of one-sided or misleading information is regarded as an effective signal, ensures stable semantic representation of culture elements in the knowledge graph, reduces deviation accumulation, and makes the meaning of culture visual elements gradually deviate from the real historical background and cultural connotation, so that the result of the visual presentation of regional culture is consistent with the actual regional culture, and a serious culture deviation phenomenon does not occur.

To provide systems and methods involving visual representations and audio experiences of users during a multi-user communication session.SOLUTION: This includes example systems and methods for changing a visual appearance of a user during a multi-user communication session in response to detecting that the user transitions from being a non-collocated user (e.g., a remote user) in the multi-user communication session to being a collocated user in the multi-user communication session, and / or vice versa. This also includes example systems and methods for determining a mode of a visual representation of a user of an electronic device participating in a multi-user communication session that is already active among users of other electronic devices. This also includes example systems and methods for enhancing the audio experience of co-located users of electronic devices during a multi-user communication session.SELECTED DRAWING: Figure 1

The invention relates to the technical field of medical simulation, in particular to an ablation needle puncture training auxiliary system, and aims to solve the problems of insufficient tactile feedback and low fineness when an existing ablation needle puncture training system simulates a needle tip to penetrate through multiple layers of biological tissues so as to improve the'needle feeling 'cognition and fine operation skills of doctors. The system is characterized by comprising a physical interaction module, a virtual simulation module, a central processing module and a visual presentation module, a high-fidelity virtual tissue model is constructed, real-time multi-mode tactile feedback is combined, and an accurate needle-tissue interaction mechanical simulation and multi-dimensional tactile rendering algorithm is adopted. By the adoption of the technical scheme, the problem of a touch gap is effectively solved, the authenticity and effectiveness of simulation training are improved, and the precision and safety of clinical puncture operation are remarkably improved.

The embodiment of the invention provides a dynamic running environment rendering method and system applied to virtual reality, and belongs to the technical field of virtual reality, and the method comprises the steps: firstly obtaining real-time running state data (including motion amplitude and motion frequency data) of a user and a preset virtual reality running environment parameter set (including weather and time related parameters); adjusting a preset parameter based on the user data to generate an environmental parameter linkage rule; adapting scene element attributes (including visual presentation and physical simulation attributes) according to an environmental parameter linkage rule; rendering the adapted attributes in real time to generate a dynamic picture; and obtaining user interaction feedback data to adjust the linkage rule so as to update a subsequent picture. The environment can be dynamically rendered according to the running state of the user, the sense of reality and interactivity are enhanced, and the user experience is improved.

The embodiment of the invention discloses an image processing method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of computers. The method comprises the following steps: acquiring a to-be-processed image, and converting the to-be-processed image into a grey-scale map; all pixel points in the grey-scale map are traversed, and a first grey-scale value of the traversed current pixel point is determined; determining a second gray value according to the occurrence frequency of gray values of neighbor pixel points within a set range around the current pixel point; determining a third gray value according to the distance between the neighbor pixel point with the gray value being the second gray value and the current pixel point; setting a color channel value of the current pixel point according to the first gray value, the second gray value and the third gray value; and generating and storing a new target image according to the set color channel value corresponding to each pixel point in the grey-scale map. According to the technical scheme, the overall visual presentation effect of the image is improved.

The invention discloses a double-sided screen self-adaptive translation generation method and system based on semantic processing, relates to the field of double-sided screen self-adaptive translation generation based on semantic processing, and is used for improving the display definition and user understanding efficiency of double-sided screen equipment for processing super-long translations in dialogues in professional fields. Comprises: obtaining a translation generated by a translation program; identifying abnormal vocabularies in the translation; the abnormal vocabulary is a vocabulary with the length larger than a preset threshold value and lacks natural separators; adjusting visual presentation parameters of the abnormal vocabularies, wherein the visual presentation parameters comprise any one or more of the following items: character pitch, halo parameters and font styles; and generating a translation according to the adjusted visual presentation parameters of the abnormal vocabularies.

The invention discloses an enterprise financial risk real-time early warning and visualization method based on stream-oriented computing, and the method comprises the following steps: 1) multi-source heterogeneous data real-time collection and access: collecting stream-oriented data from a plurality of data sources in real time, the data sources comprising internal business data and external financial data; 2) stream data cleaning and standardization: preprocessing the data accessed in real time to ensure that the formats of the data from different sources are uniform and can be used for subsequent calculation; 3) real-time financial index calculation and risk model evaluation: 3.1) real-time index calculation; (3.2) carrying out real-time risk assessment; 4) risk early warning and graded pushing; 5) performing real-time visualization and interactive analysis; according to the method, efficient analysis, visual presentation and man-machine interaction of complex data are achieved in an automatic and intelligent mode, and therefore support is provided for decision making.

The invention discloses a path planning method based on a city engine and an unreal engine. The method comprises the following steps: completing basic data preparation, rule definition, model generation and visual presentation and analysis, and establishing a city model; secondly, constructing a vehicle motion model in an unreal engine, and simulating weather; the three-dimensional static model and a dynamic model in an unreal engine are fused to generate an urban environment; carrying out geographical gridding on the urban area; introducing a trafficability map and physical restrictions of the vehicle, and setting the trafficability map of the vehicle; an improved A * algorithm based on geographic gridding is introduced, path planning is conducted, the improved A * algorithm is used, and path optimization is achieved through a heuristic function and a penalty function; and outputting the generated path plan.

We provide the system. [Solution] Means for acquiring and managing user characteristic information, Means for aggregating and classifying tasks within a company, A means for assigning appropriate tasks to users based on the aforementioned characteristic information, A visual presentation means for visually presenting the procedures for the assigned task, A means of using artificial intelligence to check the user's work results after completion and instructing corrections as needed, A means of visual presentation that uses augmented reality display to facilitate collaborative work between humans and machines, A system that includes this.

The present application relates to the technical field of lesion recognition, in particular to an automatic lesion recognition ultrasonic system for real-time monitoring, which comprises a delay path discrimination module, a gray level trend detection module, a texture feature screening module, a feature fusion sorting module and a region highlight labeling module. Based on continuous ultrasonic frames, the collected deep tissue echo path is analyzed, and the echo arrival time of each pixel point in the continuous frame is detected. The present application supports multi-type data fusion judgment through a comprehensive judgment process supported by multi-dimensional parameter collaborative screening, penetration behavior, gray level trend and texture aggregation. The regional abnormal priority sorting mode improves the hierarchy of lesion feature discrimination, provides partition directional recognition for local structural abnormalities and early micro-variation, and converts the feature judgment result into a high confidence region label by a weight aggregation method. The image output process automatically completes the real-time visual presentation of the high-risk area, improving the clarity and pertinence of the lesion region presentation.

The invention, which belongs to the technical field of the medical equipment, discloses a wake-up therapy system for frequency response through auricular vagus nerve magnetoelectricity stimulation, and the system comprises an acquisition conversion module, an anomaly detection module, a spatial modeling module, an anomaly analysis module, a stimulation application module, a monitoring adjustment module, a dynamic adjustment module and an interactive display module. According to the method, accurate analysis from electroencephalogram signals to the space level can be achieved, quantitative evaluation and visual presentation of abnormal brain functions of the patient are achieved, doctors are assisted in judging the brain function state of the patient, and scientific and accurate decision support is provided for awakening therapy of coma or brain injury patients; meanwhile, the therapeutic effect can be evaluated, stimulation parameters can be dynamically adjusted, individualized awakening intervention of the patient is promoted, the nerve over-stimulation risk of the patient is reduced, the abnormal brain area of the patient is accurately positioned, and a basis is provided for precise stimulation.

The invention discloses a multi-service scene-oriented data query analysis method and system, belongs to the technical field of big data analysis and intelligent decision making, and aims to solve the technical problem of how to realize automatic query, intelligent analysis and visual presentation of data under multi-service scenes. Comprising the steps of performing intention recognition and service classification on a user request based on an agent-driven natural language analysis and classification model, and generating a query instruction, a data analysis strategy and a visual suggestion; executing the query instruction, and analyzing a query result in real time; and rendering an interactive data chart based on the returned analysis result and the visual suggestion, and supporting the user to carry out drilling, screening and prediction simulation operations based on the data chart.

The invention relates to the field of intelligent data management and analysis, in particular to a multi-dimensional data integrated work file tracing method and system. The method comprises the following steps: acquiring work file data; extracting a first archive feature, a second archive feature and a third archive feature; obtaining a tracing path and a confidence score; judging a first-level condition, a second-level condition and a third-level condition; and in combination with an improved space-time coupling multi-dimensional visualization technology, starting a tracing optimization process, and realizing tracing of the work file. According to the method, through multi-source data fusion and feature extraction, entity association, time sequence abnormity and dynamic risks are accurately quantified; by constructing a multi-dimensional model for comprehensively evaluating the reliability of a tracing path and combining a three-level intelligent judgment and self-adaptive optimization mechanism, the accuracy and the service fitting degree of a tracing result are remarkably improved; through visual presentation and knowledge precipitation, full-link intelligent tracing of the work file is realized, and efficient decision support is provided for safety audit and risk management and control.

The application relates to the technical field of defect detection, and discloses an intelligent identification and distribution visualization method and system for weld defects, which comprises the following steps: collecting a weld radiographic testing image, obtaining a smooth image after denoising and performing multi-scale feature extraction, and obtaining a weld segmentation image through semantic segmentation; adopting a convolutional neural network to classify different defect types, performing pixel labeling, and obtaining a defect labeling image; performing uniform grid division on the weld segmentation image, obtaining an optimized sub-region set after filtering boundary pixels; calculating the number proportion of defect pixels and total pixels in the sub-region, comparing the number proportion with a preset proportion threshold value, and completing classification after comparison, mapping to a two-dimensional matrix to obtain a density distribution matrix; aggregating proportion values along the length and width directions of the weld, and filling in missing data points to obtain a continuous proportion value sequence; and assigning corresponding colors to the proportion values, and obtaining a defect distribution heat map after rendering. The method can realize high-precision detection and visual presentation of weld defects.

The present application relates to the technical field of image rendering, in particular to a rendering method and system for a model image interface, comprising the following steps: obtaining a view angle parameter and generating a screen pixel mapping result set of a surface patch, calculating a screen occupation ratio of the surface patch, generating a screen change feature of the surface patch in combination with a frame difference, generating a rendering scheduling sequence set based on the occupation ratio and the change feature, calling data in sequence to perform rasterization processing, and generating a rendering result of the model image interface. In the present application, the visual presentation weight under the current visual field is calculated by extracting vertex coordinate mapping, the difference in occupation ratio between the front and back frames is analyzed by using the finite difference method to capture the dynamic change trend, the dynamic rendering scheduling sequence is constructed based on the double dimensions of the occupation ratio and the change feature, the calculation resources are accurately tilted to the high screen occupation ratio and the high dynamic change area, the rendering quality of the core visual area is ensured, the invalid calculation overhead is greatly reduced, and the interface rendering real-time performance and frame rate stability in complex scenes are effectively improved.