247 results about "Dynamic visualization" patented technology

The invention relates to the technical field of reservoir dam safety monitoring, and discloses a reservoir dam siltation dynamic monitoring and early warning system. Multi-dimensional sensing node arrays of the system are arranged at key positions of a dam body structure and a reservoir area, and sediment thickness distribution data, water flow velocity field data and sediment concentration gradient data are synchronously collected. And the edge computing node receives the original monitoring data, executes data cleaning and space-time alignment processing, and generates a standardized siltation feature data set. And the cloud analysis platform receives the data set, calculates a deposition evolution trend matrix through a space-time coupling prediction model, and outputs a reservoir area deposition risk level distribution map. And the dynamic visualization engine analyzes the risk level distribution map, generates a three-dimensional dynamic deposition situation model, and marks the space coordinates of the abnormal deposition area. And the early warning decision center generates a graded early warning instruction set according to the space coordinates of the abnormal region, and triggers a corresponding emergency response strategy.

The invention discloses a coal mine goaf fire monitoring method and system based on multi-source data fusion, and relates to the technical field of coal mine goaf fire monitoring, and the method comprises the steps: collecting the concentration, concentration and air pressure of each wireless sensing node in a coal mine goaf in real time; according to the concentration of each node, a dual-parameter dynamic coupling gradient field traceability algorithm of fusion / gas expansion and chemical reaction mechanism is adopted to calculate a fire source coordinate; performing anomaly detection according to the concentration of each node, and positioning an air leakage point by adopting a three-dimensional oxygen concentration gradient field positioning algorithm and combining air pressure compensation for an oxygen concentration anomaly point; based on goaf point cloud data, a goaf three-dimensional grid model is constructed, and a fire source spreading path, an air leakage channel and gas concentration distribution are dynamically and visually displayed in combination with multi-source monitoring data and fire source and air leakage point positioning results. The goaf fire prevention and control system can achieve all-around prevention and control of goaf fire.

The invention relates to the technical field of gastrointestinal tracts, in particular to a gastrointestinal tract ultrasonic virtual simulation nursing teaching platform which comprises a function module and a hardware configuration module. The function module comprises an anatomy learning module, an ultrasonic simulation module, a case training module and an examination and evaluation module; the hardware configuration comprises a VR head-mounted display, an ultrasonic simulator and an operation panel. The system has the advantages of safe and risk-free training, standardized process learning, immersive scene experience and instant feedback evaluation, a high-fidelity gastrointestinal tract ultrasonic virtual simulation teaching platform for critically ill patients is constructed, a 3D virtual model is constructed by using a virtual simulation technology, knowledge is presented dynamically and visually, real situations such as ICU wards and the like are simulated through VR, and real-time feedback evaluation of the gastrointestinal tracts of the critically ill patients is realized. The learning initiative and the sense of participation are stimulated; an ICU environment is virtualized, an unlimited'trial-and-error 'practice space is provided, the equipment cost is reduced, potential safety hazards are avoided, and space-time and safety barriers are broken.

A system is disclosed including an ablation probe that includes an antenna, a display, and a controller in communication with the ablation probe and the display. The controller comprises a memory and is operable to receive first and second inputs indicative of an amount of time and a power level, respectively, to energize the ablation probe, retrieve, from the memory, a predicted ablation zone corresponding to the first and second inputs, display, on the display, an image representative of the ablation probe, and overlay, on the image, the predicted ablation zone, energize the ablation probe at the power level, and dynamically overlay, on the image, a progressive ablation zone based on the ablation probe being energized, wherein a size of the progressive ablation zone is retrieved from the memory based on the amount of time the ablation probe has been energized at the power level.

The embodiment of the invention relates to the technical field of geographic space platforms and visualization, and provides a forest fire spreading dynamic visualization simulation method and device, electronic equipment and a medium, and the method comprises the steps: obtaining image data and topographic data of a target region, and constructing a three-dimensional topographic scene; receiving a combustible point coordinate and a real-time meteorological parameter selected by a user, and configuring an initial fire behavior in the three-dimensional terrain scene based on the combustible point coordinate and the real-time meteorological parameter; performing periodic forest fire spreading calculation based on the configured initial fire behavior through a forest fire spreading algorithm to obtain simulated fire point data corresponding to each calculation period; generating flame particles and smoke particles corresponding to each calculation period based on the simulated fire point data corresponding to each calculation period; and sequentially rendering the flame particles and the smoke particles corresponding to each calculation period into a three-dimensional terrain scene, and carrying out real-time dynamic forest fire spreading visual simulation. Therefore, real-time forest fire spreading three-dimensional visualization with high precision and high trueness in the browser is realized.

The invention discloses a power grid dispatching report generation method based on natural language processing, relates to the technical field of power grid dispatching report processing, and aims at solving the problems that a traditional report generation mode is low in efficiency and large in subjective deviation. The method comprises the steps that multi-source data are integrated, the data are preprocessed, and multi-dimensional time sequence data are output; generating an event atlas based on the high-dimensional data abstract and the state recognition result; converting the structured data into basic natural language expression, and filling dynamic content; generating a report text; generating a dynamic visual chart and an image-text report based on the generated report text, the event graph and trend data generated by the time sequence analysis model; an image-text report is adopted, the report is divided into key suggestions and detail descriptions, and highlighted high-risk event prompts are generated. According to the method, the report generation efficiency can be improved, subjective deviation in manual analysis is eliminated, and objectivity and specialty of report content are ensured.

The invention relates to the field of combat command and dispatch, in particular to a multistage linkage combat unit command and dispatch system. According to the invention, a basic-level minimum emergency unit element information base is constructed through a data acquisition module; generating an electronic map supporting 2D and 3D switching; an intelligent analysis early warning module identifies abnormal conditions and generates early warning information; a plurality of multi-level linkage combat unit topology networks are generated through the multi-level linkage command architecture module; generating a command data large screen for dynamically aggregating public security indexes and a global situation visualization electronic map through a global situation visualization module; an early warning area is circled and selected through the intelligent scheduling module; and associating the corresponding multi-stage linkage combat unit to generate a deployment instruction. According to the multi-level linkage combat unit command and dispatch system provided by the invention, the multi-level linkage combat unit is effectively combined with a dynamic visual geographical environment from data acquisition, analysis and early warning to command and dispatch through cooperation of multiple modules, so that the command and dispatch efficiency is remarkably improved.

The invention discloses an edge sea petroliferous basin paleotopography inversion method based on a machine learning algorithm, and belongs to the technical field of geological exploration and data processing. The method comprises the following steps: constructing a seismic profile data pool and carrying out image preprocessing; establishing an affine transformation relationship between pixel coordinates and physical coordinates by using an image digitization tool, and extracting a two-dimensional data sequence; establishing a mapping function of the measuring line distance and the longitude and latitude, and constructing a three-dimensional scatter data set; carrying out gridding interpolation by adopting a K nearest neighbor regression algorithm, and constructing a three-dimensional grid model; performing motion back-pushing and deformation-removing correction by using a plate reconstruction technology to obtain a paleotopography model; and generating a three-dimensional dynamic visualization result of paleotopography evolution through time interpolation. The method solves the problems that seismic profile images cannot be quantitatively analyzed, sparse data interpolation is difficult, and paleotopography inversion neglects structural deformation, and provides technical support for multiple fields such as oil-gas exploration.

The invention relates to the technical field of municipal planning, in particular to a BIM + GIS-based municipal underground pipe network intelligent planning and conflict avoidance system and method, and the system comprises a BIM-GIS data fusion module which is used for integrating a BIM model and GIS topographic data; the construction process association module is used for analyzing the construction plan to generate a dynamic construction progress table, and constructing a directed graph based on the spatial position relationship of each construction unit in the BIM model; the conflict prediction and avoidance module is used for calculating the space conflict probability of the temporary pipe network and the permanent pipe network in real time in combination with the directed graph and GIS topographic data; the land-saving optimization module is used for carrying out iterative optimization on the temporary pipe network layout through a genetic algorithm based on GIS topographic data and construction area boundary constraints so as to minimize the total length and the occupied area of the temporary pipe network; and the dynamic visualization interaction module is used for providing a three-dimensional BIM-GIS fusion view. According to the method, management and control from static design to dynamic construction are achieved, and the scientificity of underground pipe network planning and the land resource utilization efficiency are improved.

The invention relates to the technical field of intelligent monitoring of power equipment, in particular to an intelligent circuit breaker state monitoring method and system. The method comprises the steps that unified time sequence modeling is carried out on multi-dimensional operation data of the circuit breaker, periodic behavior fragments with internal rhythm characteristics are extracted, state feature vectors based on historical behavior self-reference are constructed, and the state feature vectors are mapped to a continuous interpretable state space to achieve dynamic visual expression of the operation state; on the basis, the state deviation intensity and the change direction consistency are quantified, so that progressive identification and early warning from normal operation to an abnormal state are realized; and combined prediction is further carried out in combination with a state trajectory and an abnormal index, a risk quantification result and an active intervention strategy are generated, and model adaptive optimization is realized through closed-loop feedback. According to the invention, intelligent operation and maintenance closed loop from real-time monitoring and abnormal early warning to predictive maintenance is completed.

The invention relates to a dynamic simulation method and system for a tooth movement process based on a Type model, and the method comprises the steps: carrying out the data collection of an artificial tooth and a fixed appliance through three-dimensional scanning, and obtaining the three-dimensional data of a tooth jaw structure; performing overlap analysis on the crown root model according to the three-dimensional data to obtain a digital dental model containing periodontal tissues; performing material attribute assignment on an anatomical structure in the digital tooth jaw model according to preset material parameters to obtain a biomechanical tooth jaw model; and performing time recursion iteration on the biomechanical tooth jaw model through finite element analysis to obtain four-dimensional dynamic simulation data for simulating a tooth movement process, so as to provide visual orthodontic process teaching demonstration based on the four-dimensional dynamic simulation data. According to the invention, the dynamic visual simulation of the tooth movement process is realized, the feedback of the Type Dont system can be quantified, and the teaching interactivity is improved.

The invention relates to an intelligent ship water diversion method and system based on RTK and inertial navigation fusion, and the method comprises the steps: firstly, deploying and calibrating an RTK base station at a wharf commanding height, generating a differential correction in real time, and broadcasting the differential correction to a shipborne end; utilizing RTK surveying and mapping equipment to collect shoreline feature points, adopting a cubic spline interpolation algorithm to construct a continuous and smooth three-dimensional shoreline curve model, and fusing wharf geographic information to generate a shoreline visual map with geographic coordinates; establishing a ship coordinate system, converting inertial navigation attitude data into the coordinate system through a rotation matrix and a translation vector, fusing the inertial navigation attitude data with RTK position data, and outputting a high-precision ship pose; fusion data are transmitted through a 5G network, a shore end converts the fusion data into a local plane coordinate system and generates a real-time dynamic visual interface, the real-time dynamic visual interface is pushed to a tug terminal through an RTSP protocol, water diversion operation is assisted, high-precision perception, visual guidance and shore ship cooperation of the ship berthing process are achieved, and the water diversion safety and the intelligent level are improved.

The invention discloses a hoisting equipment distribution visualization and monitoring method, and relates to the technical field of industrial hoisting safety, and the method comprises the following steps: generating a synchronously associated multi-source fusion data set; constructing a three-dimensional basic model of the hoisting operation area; dividing the three-dimensional dynamic model into a base layer, an equipment layer, a key component layer and a data layer by adopting a self-adaptive hierarchical rendering algorithm, adjusting the rendering precision of each layer according to a priority coefficient, and generating an equipment distribution visual interface; identifying an abnormal state of the equipment and positioning a fault position, and triggering a corresponding grading early warning signal according to an abnormal grade; and based on the abnormity type and the fault position corresponding to the early warning signal, a targeted disposal suggestion scheme is generated. The real-time monitoring, fault early warning and three-dimensional dynamic visualization of the hoisting equipment are realized by fusing space-time alignment, multi-source data synchronization, a digital twinning technology and a self-adaptive rendering algorithm, and the equipment safety and the operation efficiency are remarkably improved.

The invention belongs to the technical field of layer fusion rendering, and particularly discloses a low-altitude digital twin multi-mode layer fusion rendering method and system, a terminal and a medium. Comprising the following steps: acquiring multi-source spatial data required by a low-altitude digital twinborn scene, performing format analysis and coordinate conversion on the multi-source spatial data, establishing a unified spatial coordinate reference, and generating multi-modal basic data with a unified resolution; the fused multi-modal scene data is formed; establishing a hierarchical index and spatial buffer system; and constructing a hierarchical rendering pipeline according to the spatial index system, and outputting a three-dimensional visualization result after fusion rendering, so that high-precision registration and fusion expression of multi-source heterogeneous spatial data can be realized, and the problem that multi-modal data in an existing low-altitude scene cannot be managed in a unified manner and cannot be dynamically visualized is solved. The method can be widely applied to the fields of urban low-altitude traffic supervision, unmanned aerial vehicle track display, meteorological situation awareness, three-dimensional geographic information visualization and the like.

The invention discloses a GPU shader rendering computer implementation method of a finite element result. The method comprises the steps that a static three-dimensional grid is adopted as a rendering geometry; the 32-bit floating point type scalar data corresponding to the vertexes are subjected to lossless coding at a CPU end to obtain four-channel 8-bit RGBA vertex color attributes; during data updating, lightweight vertex color data are only transmitted to the GPU; hardware interpolation is carried out on the encoded color attributes by using a GPU rasterizer; and finally, in the fragment shader, decoding the interpolation result of each pixel to reconstruct a scalar value, and mapping the scalar value into a final color. According to the method, the bottleneck of topological calculation of a CPU end and transmission of massive geometric data to the GPU is avoided, the calculation load is transferred to the GPU in a large scale for parallel processing, the rendering efficiency is remarkably improved, and high-frame-rate dynamic visualization of a finite element result is realized.

The invention provides a reservoir sediment modeling method based on multi-time-sequence multi-beam sounding point cloud data, and relates to the field of reservoir sediment monitoring and modeling, and the method comprises the steps: constructing a reservoir area space grid skeleton model, and collecting multi-time-sequence multi-beam point cloud data and corresponding hydrological auxiliary data; performing space division by adopting an adaptive tile subdivision method, generating multi-level point cloud tiles by adopting a feature point downsampling method, and establishing a three-dimensional composite index; the indexed multi-level point cloud tile set is processed through an anisotropic ICP registration method, and a point cloud tile set of multi-time-sequence registration is obtained; establishing an initial triangulated irregular network sediment model, carrying out differentiated partitioning by utilizing historical hydrological auxiliary data, and carrying out dynamic updating based on a partitioning state to obtain a dynamic reservoir sediment model; and S5, calculating to obtain deposition parameters, and mapping the deposition by adopting a three-dimensional engine to obtain an interactive three-dimensional dynamic deposition situation map. According to the invention, high-precision dynamic visualization of the reservoir sediment deposition process is realized.

The invention discloses an emergency operation visual management method and device based on digital twinning, and relates to the technical field of digital twinning. The method comprises the following steps: constructing a three-dimensional twinborn scene corresponding to a physical emergency treatment space, and establishing a virtual mapping model; collecting multi-source heterogeneous data in real time; identifying a patient flow thermodynamic diagram and a resource usage rate based on a data-driven model update; identifying a homogeneous index according to the thermodynamic diagram and predicting a patient flow; a limit scheduling scheme and a reception flow are formed by combining the resource utilization rate and prediction sequence simulation scheduling; and visualizing the result and synchronizing a manager to remind. The technical problem that existing emergency treatment management depends on static data and artificial experience and cannot perform real-time perception, prediction and global optimization on dynamically changing patient flow and resource bottlenecks is solved, real-time dynamic visual management of emergency treatment operation is realized through the digital twinning technology, a patient flow thermodynamic diagram and the emergency treatment resource utilization rate are accurately identified, and the emergency treatment efficiency is improved. And the accuracy and timeliness of emergency operation management are improved.

The invention belongs to the technical field of augmented reality, and particularly discloses an offline store inspection authenticity verification method based on AR environment feature point matching, and the method comprises the steps: scanning a specific region of a store through a mobile terminal, collecting environment visual feature points and pose parameters to construct and upload a sparse point cloud map, and generating a uniquely bound AR scene model; setting a virtual punch-in point in the model, and recording an anchor point coordinate under a world coordinate system of the virtual punch-in point; when the inspection is executed, the mobile terminal preloads a corresponding AR scene model based on a geographic position, extracts feature points by collecting images in real time, and matches the feature points with feature points in the model; and after successful matching, calculating a real space distance between the mobile terminal and the virtual clock-in point, and if the real space distance is smaller than a threshold value, unlocking the inspection task. According to the method, a dual verification mechanism based on pose difference and dynamic visual guidance are introduced, so that the defects of low positioning precision and easiness in counterfeiting in the prior art are overcome fundamentally, and high-precision and high-anti-counterfeiting authenticity verification of offline inspection behaviors is realized.

The invention provides an interactive three-dimensional holographic display method for a smart farm, and relates to the technical field of smart agriculture and holographic visualization. Comprising the following steps: firstly, performing multi-angle aerial photography in different growth stages of a rice field through an unmanned aerial vehicle to collect image data; processing the data by using a three-dimensional reconstruction algorithm, and constructing a three-dimensional model library of the rice field; on the basis, a voice interaction module is integrated to a visual platform, so that a user can select and switch models and inquire growth information through voice control; further converting the selected three-dimensional model data into structured data suitable for holographic reconstruction, and generating a high-fidelity digital hologram by applying a complex-valued convolutional neural network point cloud gridding algorithm; and finally, performing optical reconstruction on the hologram by driving holographic display equipment. According to the method, the limitation of a traditional two-dimensional image in space and time sequence expression is overcome, dynamic visualization of the rice field growth process is achieved, and the monitoring and decision-making effects are improved.

The invention discloses a full-automatic video generation system and method based on digital twinning and AI technologies, relates to the technical field of image data processing, and aims to solve the problem that full-process automatic production is difficult to realize in existing meteorological and ocean forecast video production. The method comprises the following steps: automatically acquiring structured data from an external digital twin API (Application Program Interface) through an automatic data acquisition module; a broadcast text is automatically generated and synthesized into an audio file based on the structured data through an AI audio automatic generation module; through a dynamic visualization rendering and capturing module, generating a dynamic visualization picture based on structured data driving, capturing the picture to form a continuous image frame sequence, and recording a timestamp of specific element switching in the picture at the same time; and synchronously aligning the voice audio file and the continuous image frame sequence according to the timestamp through an audio and video intelligent packaging module, mixing background music, and packaging and outputting a final video file. And full-process automatic production from structured data to flaking is realized.

The invention discloses a park dynamic carbon portrait generation method and system, and the method comprises the steps: collecting building, equipment and traffic multi-source energy consumption data in real time through Internet of Things equipment, and calculating the carbon emission intensity in combination with a dynamic carbon emission factor library; constructing a three-dimensional park model, mapping the carbon emission data into a dynamic thermodynamic diagram layer according to a spatial hierarchical structure (park-building-floor-equipment), and synchronously generating a vehicle carbon emission intensity diagram; positioning a key emission source based on the energy flow-carbon flow mulberry-based graph, setting a grading early warning threshold value, and triggering a three-dimensional highlight alarm and carbon reduction strategy suggestion; an optimization algorithm is adopted to generate a multi-energy cooperative regulation and control instruction, and the instruction is pushed to the energy management system for execution; and closed-loop verification and iterative optimization are realized by monitoring emission reduction, economic benefits and carbon potential indexes. The space-time dynamic visualization of carbon emission, key source intelligent positioning and adaptive optimization closed loop are realized, the problems of lack of real-time performance and low traceability precision of park carbon management are solved, and the carbon emission intensity is reduced through actual measurement.

The invention provides an intelligent diagnosis and visualization system for connection defects of a chip microstructure, and relates to the technical field of image data processing and chip detection, and the system comprises a multi-modal data acquisition module which is used for obtaining multi-modal original image data of the chip microstructure; the data fusion and preprocessing module is used for fusing and preprocessing the multi-modal original image data to generate multi-modal composite image data; the feature extraction and defect diagnosis module is used for performing feature extraction and defect diagnosis on the composite image data and outputting and connecting defect diagnosis data; the three-dimensional dynamic visualization module is used for constructing a three-dimensional model based on the composite image data to display connection defect diagnosis data; and the process association and defect prediction module is used for acquiring process parameter data, constructing a structure causal association model and predicting a future connection defect probability in combination with the connection defect diagnosis data, so that high-precision intelligent diagnosis and multi-dimensional visual display of the chip microstructure connection defects can be realized.

The invention provides a new energy project business and finance integrated platform. The platform comprises a station real-time data acquisition module for acquiring operation and state data streams; the business financial data access module accesses a cost and financial rule data flow; the data processing and state estimation module is used for filtering, standardizing and generating high-credibility station state data; a mapping model is built in the business-finance dynamic association engine, and business event-driven finance influence data are cooperatively calculated and output in real time; the dynamic visualization and decision support module receives the data and generates a decision view with a causal link. According to the invention, dynamic association and visual display of the business event and the financial influence can be realized, the operation decision-making efficiency and the financial management level of the new energy project are improved, and the economic benefit and the risk management and control capability of the project are enhanced.

The invention discloses a 3D printing dynamic visualization interaction system and method based on spatial unconstraint, and the method comprises the steps: S1, collecting and preprocessing environment data, and generating a camera pose, a projection carrier normal direction and an anchor point set; s2, generating timestamps and writing the timestamps into a pose channel and an anchor point channel; s3, the dynamic modeling engine receives the input three-dimensional model, and semantic layering and slicing processing is executed; s4, establishing a double-buffer asynchronous rendering architecture; s5, on the basis of a zero-interruption displacement mechanism, when it is detected that the posture changes and the projection sites are switched, continuous output of foreground buffering is kept, new full-precision frames are rendered through background buffering, and foreground buffering and background buffering are switched at the vertical synchronization moment after rendering is completed; s6, receiving a parameter updating instruction input and analyzed by the user; s7, outputting a synchronous rendering frame and an interactive updating result; and S8, outputting the application interface. Free projection and zero-interruption interaction in the 3D printing process are achieved.

The utility model discloses a stainless steel water tank which comprises a water tank main body, and first ribbing steps used for placing shelf kitchen ware are arranged below the front side wall and the rear side wall of the water tank main body; the shelf chopping board can be transversely placed on the first ribbing step in a sliding manner; the bottom of the water tank main body is inclined towards one transverse side, and the side is provided with a dirt collecting groove which is sunken downwards; the sewage collecting groove is provided with a water outlet; when the shelf chopping board moves towards one side of the dirt collecting groove, the shelf chopping board can completely shield the upper part of the dirt collecting groove; when the shelf chopping board groove moves away from one side of the dirt collecting groove, the shelf chopping board, the bottom of the water tank main body and the dirt collecting groove can form a three-layer stepped structure. According to the utility model, the eccentric layout of the water outlet and the dirt collecting groove is combined with the stepped flow guide surface to form a dynamic visual drainage path, and a continuous water film effect is generated when water flows through the hierarchical structure, so that efficient dirt discharge and ornamental value are achieved, and the dual requirements of modern kitchens on practicability and spatial aesthetics are met.

According to the stress analysis method and system for physics teaching provided by the invention, through integration of a parameterized virtual experiment template, physical simulation engine real-time solution, stress intelligent analysis and a multi-modal dynamic visualization technology, abstract mechanical concepts and relationships can be converted into visual, dynamic and interactive visual graphical representation and data flow; the problems that in traditional teaching, stress analysis is static and abstracted, and real-time data association and interactivity are lacked are effectively solved. The system not only can automatically and intelligently judge and mark the power or resistance attribute according to the relationship between the friction force direction and the object movement direction, vividly illuminate the dual roles of the friction force, but also can support the exploration type and collaborative learning through the synchronous and independent interaction mode of the master control and the multi-student terminal, thereby improving the learning efficiency. And meanwhile, the contrastive analysis, process recording and playback functions are provided, so that teaching explanation and knowledge consolidation are powerfully assisted, and the intuition, interactivity and teaching efficiency of physics teaching are remarkably improved.

This invention relates to the field of single-axis robot technology, and more particularly to an intelligent single-axis robot anomaly monitoring system. The system first acquires mechanism dynamics model data and simultaneously collects real-time monitoring data from the transmission system and the multi-force sensor nodes at the motion execution head. Second, it performs collision identification processing on the data, generating a collision anomaly feature distribution map matching the model's spatial position. Subsequently, combining the map with long-stroke motion constraints, it dynamically and visually reconstructs the dynamics model, outputting an interface with anomaly level markers. Finally, it associates and maps the visualization interface with the real-time data to generate emergency protection and maintenance strategies, triggering a robot protection response through an industrial control port. This invention achieves high-precision positioning and hierarchical visualization of collisions at the motion execution head of a long-stroke single-axis robot, constructs a closed-loop intelligent protection mechanism, and significantly improves equipment safety protection capabilities and operational efficiency.

The application relates to the technical field of simulation training, in particular to a building construction process dynamic visualization practical training system based on augmented reality, which comprises a component identification and matching module, a component contact judgment module, a layer response adjustment module, a path guide and direction change module and a practical training picture fusion module.

The invention discloses a logistics positioning method for an intelligent port, and particularly relates to the field of dynamic map visualization. Arranging high-precision control points in the harbor district, and collecting first coordinates and second coordinates to construct a control point data set; adopting a weighted least square method to fit and generate seven-parameter coordinate transformation models corresponding to the plurality of areas; generating a fine tuning parameter group through the prediction model, and combining the fine tuning parameter group with the seven-parameter model to form an adaptive coordinate transformation model; converting the collected first coordinates into corrected second coordinates in real time, and synchronously mapping the corrected second coordinates to a digital harbor district map system to realize dynamic visualization and scheduling linkage of the target logistics object; the stability and environmental adaptability of the harbor area positioning system are improved, and the method is suitable for unmanned transportation, automatic scheduling, safety supervision and other application scenes in intelligent harbors.

A computer-implemented system and method for predicting, visualizing, and applying workplace strengths profiles are disclosed. The system includes a processor executing modules that: (i) map user-identified strengths and external data (e.g., LinkedIn, HR, team benchmarks) to one or more enneagram types; (ii) transform those types into prescriptive guidance, predictive insights, and adaptive developmental plans using machine-learning refinement; and (iii) generate dynamic visualizations of team strengths and “what-if” scenarios through a visualization analytics engine. The system continuously personalizes recommendations and action plans by learning from user data, organizational context, and proprietary prescriptive content.