366 results about "Data Linkage" patented technology

The invention discloses a digital twin three-dimensional scene modeling method based on a webGPU, and relates to the technical field of three-dimensional scene modeling and graphic computing, multi-source sensing data are asynchronously sampled from sparse point cloud, a video texture sequence, a scene semantic tag graph and a structure boundary tuple, and a six-dimensional structure unit group is generated through a normalization operator; constructing a structural unit atlas with nodes representing component entities and edges representing constraint relations, and introducing a tension balance mechanism and multi-scale constraints to generate a modeling path prior model; constructing a graph calculation and graph rendering dual-channel assembly line in the WebGPU, and executing parallel texture mapping and boundary fitting operation; a dynamic sensing module is used for capturing scene disturbance and driving atlas response, and incremental reconstruction of the model is achieved; and finally, mapping the model to a Web terminal, and supporting microscopic semantic query and multi-layer data linkage. According to the method, the response speed, semantic consistency and structural adaptability of three-dimensional modeling in a complex environment are improved.

The invention relates to the technical field of civil engineering informatization and automation design, in particular to a parameterized construction drawing generation method based on a constraint solution algorithm, and the method comprises the steps: defining a construction drawing foundation structure and variable parameters through an engineering design model embedded with a parameterized template; a parameter constraint relation set is generated in combination with geometric constraints, size constraints and logic constraints input by a user, constraint rules are converted into intermediate expressions through a formula analyzer, a syntax tree is constructed, and an executable parameter association rule set is generated through semantic verification. The auditing module verifies the drawing compliance based on the engineering specification database and generates a correction suggestion; and realizing cross-system data linkage between the multi-terminal collaborative interface and external BIM model parameter mapping. According to the method, the problems of detail loss and specification deviation in three-dimensional model projection are effectively avoided, and the drawing generation efficiency and the multi-specialty collaborative robustness are improved.

The invention discloses an intelligent nursing training system and method based on a large language model, and belongs to the cross technical field of artificial intelligence and nursing education. The system comprises a large language model, a dynamic knowledge graph, a virtual case generation module, a multi-modal evaluation module and a federal learning framework. A dynamic knowledge network is constructed by integrating a hospital information system, a high-simulation case containing 60% of error scenes is generated in combination with a generative adversarial network, and a personalized training scheme is optimized by utilizing reinforcement learning. The method covers multi-source data management, nurse ability grading, real-time decision support (four-level alarm system) and closed-loop effect evaluation. The innovation points comprise: (1) a professional nursing large model, wherein the medical term understanding accuracy is greater than or equal to 95%; (2) hour-level updating of the dynamic knowledge graph; (3) clinical-training two-way data linkage, wherein the critical response time is less than or equal to 6 seconds; and (4) realizing cross-department collaboration by federal learning. The system provides an intelligent and personalized solution for nursing talent cultivation, and has industrial popularization value.

The invention provides an interactive simulation teaching processing method and device for ship electromechanical guarantee, and relates to the technical field of interactive simulation teaching, and the method comprises the steps: building a ship electromechanical full-structure model in a virtual simulation platform, digitally mapping real equipment operation parameters into virtual parts with real-time response characteristics, and carrying out the real-time simulation of the virtual parts; synchronous acquisition and normalized calibration of operation instructions, equipment feedback and environment disturbance in a teaching scene are realized, and a unified teaching simulation data set is generated. State recognition, fault simulation and operation evaluation calculation are completed through multi-layer task scheduling, and real-time teaching feedback is generated and visually displayed on a terminal. Based on difference analysis of dynamic evaluation data and a standard operation template, operation deviation and abnormity are automatically identified, and a targeted guide prompt is generated. According to the invention, unified modeling and data linkage can be carried out on student operation behaviors, equipment dynamic responses and teaching feedback results, and the problems of teaching feedback lagging and lack of pertinence in operation correction are solved.

The invention relates to the technical field of equipment fault prediction, and discloses a fire fighting equipment fault early warning method and system based on multi-dimensional data linkage, and the method comprises the steps: collecting multi-dimensional operation parameters, and carrying out the data preprocessing, and obtaining standardized data; and then time synchronization and dependency relationship analysis are carried out, an equipment dependency graph is constructed, influence weights among equipment are quantified, and abnormal fluctuation characteristics are extracted to form a risk mode set. And based on the risk mode set, identifying a high-frequency high-weight risk cluster as a preliminary fault feature through grouping analysis, and determining a core fault feature by combining historical data correlation analysis. And then matching abnormal signals to generate spatial labels, integrating data to form an abnormal event candidate list, analyzing an event propagation path in combination with environmental data, and verifying the event propagation path to obtain a final abnormal event list. And finally, performing priority grading according to a historical mode matching result, and generating a visual early warning report by using a three-dimensional point cloud rendering technology. According to the method, the fault early warning accuracy of the fire-fighting equipment is improved.

The invention relates to the technical field of data linkage calculation, and provides a multistage document dependent freight trial calculation data linkage calculation method and system, and the method comprises the steps: expanding the attribute of a document node from a single business field to a composite vector containing a spatial-temporal feature through time information and geographic identification spatial-temporal dimension modeling; the dependency graph can capture the fine-grained dependency relationship of the freight service, and the space-time accuracy of data linkage is improved; when the basic information or the document information changes, the priority and the calculation path of the task queue are updated in real time through deep reinforcement learning, and calculation errors caused by change lag are avoided; through tensor synthesis operation, parallel subtask division, and a dual verification mechanism of a domain knowledge graph and a forced dependency edge, it is ensured that the whole process from dependency graph construction to calculation result output conforms to industry specifications, and the compliance and risk control ability of freight services are significantly improved.

The invention relates to the technical field of smart campuses, in particular to a Cesium-based three-dimensional GIS smart campus visualization platform system, which comprises a three-dimensional visualization engine module, a 1: 1 campus digital twin model constructed based on Cesium, and a GLB format model dynamic loading and 360-degree free view angle browsing support, the data fusion module is used for integrating security and protection monitoring and energy consumption monitoring multi-source data and realizing multi-dimensional data linkage through ECharts; the performance optimization module is used for optimizing the model loading efficiency by adopting view cone cutting and LOD technologies; according to the method, 1: 1 campus digital twin modeling is realized by adopting a Cesium engine, the reality sense and the spatial analysis capability of a three-dimensional scene are improved by combining a precise positioning algorithm of a WGS84-to-Cartesian coordinate system and a GLB format model dynamic loading technology, and meanwhile, real-time coupling of dynamic data such as energy consumption and security and protection and the three-dimensional scene is realized by adopting a CZML protocol.

The invention discloses a buried pipeline multi-source stray current interference coupling test system and test method. The system comprises a test pipeline module, a stray current simulation module, a cathode protection module, a multi-dimensional monitoring module, an intelligent protection module and a data analysis module. A comprehensive system integrating multi-source interference, a full-size pipeline, intelligent protection and real-time monitoring integrates static direct current interference, dynamic direct current interference and alternating current interference into the same system, and the problem that multi-source stray current superposition cannot be truly simulated in the prior art is solved. The comprehensive test of static direct current, dynamic direct current, alternating current stray current and anticorrosive coating defect coupling interference can be simulated, online monitoring of pipe-to-ground potential, current distribution and corrosion rate is realized, the timeliness and accuracy of test data are improved, cooperative work and data linkage analysis of multiple modules are realized, and the test efficiency is improved. A powerful basis is provided for optimizing a protection strategy, and the corrosion protection effect of the buried pipeline is improved.

The invention relates to the technical field of high-performance structural ceramic materials and corrosion resistance optimization thereof, in particular to a preparation method of high-performance silicon nitride ceramic, which realizes performance improvement through dynamic optimization of a composite sintering aid, closed-loop regulation and control of air pressure sintering and multi-process data linkage. In the raw material pretreatment stage, a laser particle size analyzer is adopted for monitoring particle size distribution in real time, surface modification parameters are adjusted in a linkage mode, and a uniform monomolecular coating layer is formed; the proportion of rare earth oxide and aluminum oxide in the composite sintering aid is dynamically adjusted according to the fluctuation of the mixing torque, and agglomeration and segregation of the aid are inhibited. And in the air pressure sintering stage, the argon pressure and the heating rate are dynamically adjusted based on the slope of a shrinkage curve, and directional arrangement of beta-phase grains is promoted by combining low-temperature nitrogen protection and high-temperature argon densification. And multi-dimensional process control synergistically optimizes grain boundary components, structure and density, so that the corrosion resistance and the service life of the silicon nitride ceramic in a sulfur-containing environment are remarkably improved and the service life of the silicon nitride ceramic in the sulfur-containing environment is remarkably prolonged.

The invention relates to a full-life-cycle digital passport management system and method for electromechanical equipment, which take dynamic data in an operation and maintenance stage as a core and depend on linkage of an intelligent algorithm and full-cycle data. The problems of equipment parameter deviation, performance degradation and the like can be accurately identified based on five-dimensional full-period data integrated by a data passport construction module; and a fault influence range and associated equipment are positioned according to physical, logic and power dependency relationships presented by the equipment dependency graph construction module, so that a basis is provided for decision correction. Besides, through unique identification of a gene coding module, historical data and responsibility subjects of equipment can be traced, BIM model dynamic updating, feedback design and construction stage data verification optimization are driven, and a closed loop of operation and maintenance feedback-model correction-full-cycle data iteration is formed. The module solves the problems of traditional operation and maintenance data isolation and model static state, enhances the timeliness and accuracy of block chain evidence storage data, and supports applications such as intelligent service layer predictive maintenance and fault self-repairing.

The invention relates to a visual big data display method, and aims to solve the problems that in the prior art, data processing is not fine, the visual effect is poor, the interaction function is limited, and the multi-terminal adaptability is poor. Original big data is cleaned, converted and aggregated through the data preprocessing module, and a high-quality visual data set is generated. The visual component selection and configuration module accurately selects and configures components from various visual component libraries according to data characteristics and analysis purposes. And the visual layout design module adopts response type layout design, so that the self-adaptive display of the interface on different devices is ensured. The interaction function setting module supports rich mouse operation and data linkage interaction functions, and provides comfortable interaction experience for users. And the visual rendering and presentation module realizes a smooth and high-quality display effect by using a graphic rendering engine.

The invention discloses a high-formwork optimization design method and system based on BIM and finite element analysis, and the method comprises the steps: S100, building a three-dimensional BIM model of a main body structure, and creating an intelligent parameterization frame body family which is mapped with a main body structure family and has a self-verification function; s200, importing a parameterized family and linking the main body model, generating a plurality of groups of frame body arrangement schemes through spatial topology analysis, and performing a three-dimensional collision test after optimization; s300, setting dynamic boundary constraints and construction loads in stages, and generating a geometric and mechanical integrated data packet; s400, data packet parameters are automatically mapped to finite element software through a plug-in, models are built in stages, multi-working-condition analysis is carried out, if the parameters exceed the limit, frame body parameters are modified, iterative optimization is carried out until the parameters meet the standard, and a result is synchronized to a three-dimensional BIM model; and S500, a construction drawing is automatically generated, and visual disclosure and high formwork monitoring point selection are carried out. According to the method, design, computational analysis and construction application data linkage and closed-loop management from design to construction to monitoring are achieved, and the high formwork design efficiency and safety are improved.

The invention discloses a medical assistance data linkage method based on a block chain, and is applied to the technical field of medical assistance. Comprising the following steps: a salvation object uploads personal information, medical record data and proof data of the salvation object to a salvation platform, and a salvation party uploads salvation resource information provided by the salvation object to the salvation platform; the rescue platform performs qualification check on the personal information, the medical record data and the proof data uploaded by the rescue object to confirm whether the personal information, the medical record data and the proof data meet the medical rescue standard or not; encryption processing is carried out on the rescue data, and then the encrypted rescue data are sent to each block chain node in the block chain network for storage; obtaining all data related to the rescue object from each block chain node; and evaluating the personal condition of the salvation object based on the salvation data of the salvation object and carrying out resource allocation to obtain a salvation scheme. According to the invention, medical assistance data linkage between different assistance platforms is realized by using the block chain technology, the integrity and authenticity of the data are ensured, and the personal privacy of the assistance object is protected.

The invention relates to the technical field of traffic scheduling, and particularly discloses a hidden channel emergency response intelligent collaborative perception and decision-making system, which comprises a multi-level heterogeneous module, a data linkage query module, a channel parameter prediction module, a traffic state evaluation module, an emergency defibering scheduling module and an information playback and display module. According to the method, through the functions of rapid query, such as keyword retrieval, advanced retrieval of complex query conditions, one-stop full-text retrieval and batch retrieval, it is ensured that workers of different departments and levels can efficiently obtain needed information, circulation and sharing of information can be promoted, and the efficiency of information query is improved. All related departments can make decisions based on newest and comprehensive information, the information island phenomenon is reduced, the overall emergency rescue efficiency is improved, and the whole process of recording and return visit of event awareness-comprehensive decision-rescue guarantee can be achieved based on a comprehensive geographic information system (GIS).

The invention relates to the technical field of invoice risk control management, and discloses an invoice risk control management method and system based on multi-source data linkage. According to the method, multi-source data of the whole invoice business process is collected in real time through a multi-source data fusion gateway. And performing streaming ETL processing and encryption integration on the multi-source data to generate an encrypted unified data view. And based on the view, constructing an association hypergraph by utilizing a dynamic graph association technology, analyzing an entity relationship by virtue of a graph neural network, and identifying false invoice making gang and repeated financing risks. And calculating a dynamic risk score by adopting a risk quantification and traceability technology, and outputting a risk level, a responsibility node identifier and a capital flow thermodynamic diagram. When the risk score exceeds a threshold value, risk gradient information is safely shared among the group headquarters, the molecular companies and the tax-bank institutions, and linkage processing actions such as invoice freezing, red character notification or credit adjustment are triggered. According to a manual reexamination result, the risk model is finely adjusted through a knowledge self-updating technology, and the rule base is hot-updated.

The invention relates to the technical field of medical equipment management, in particular to a cloud-based endoscope maintenance management system, which comprises a load monitoring module, a risk early warning module, a work order scheduling module, a maintenance tracking module and a data linkage module. According to the invention, by collecting the use time, starting frequency and environmental data of the equipment and combining load curve fluctuation analysis, high-precision abnormity identification is realized, the equipment state sensing capability is improved, the equipment identifier and frequency are uploaded, the abnormal equipment set is constructed, data support is provided for high-risk equipment positioning, the abnormal frequency is compared with the mean value of the same model, and the positioning accuracy is improved. High-frequency abnormal equipment is screened, pre-recognition of maintenance risks is achieved, skill levels, geographic positions and task loads are integrated in scheduling, resource allocation is optimized, maintenance logs, accessory use and time nodes are recorded, the traceability of the maintenance process is enhanced, the accessory use frequency and replacement intervals are counted, a prediction model is established, and refined maintenance is perfected.

The invention provides a campus security risk prevention and control cloud service platform, and relates to the technical field of cloud platforms, and the platform comprises a data processing and transmission module which is used for carrying out data storage, processing and secure transmission based on a cloud platform architecture, and supporting the automatic reconnection and concurrency control of data transmission; the safety guarantee module is connected with the data processing and transmission module and is used for carrying out digital management on civil defense, object defense and technical guarantee information of the campus; the safety risk prevention and control module is connected with the data processing and transmission module and the safety guarantee module and is used for carrying out informatization processing and linkage on campus safety management, safety education and safety emergency processes; and the joint defense and joint control module is connected with the safety risk prevention and control module and is used for realizing data linkage and emergency response command between the multi-level education management department and the school based on a processing result of the safety risk prevention and control module. By constructing the campus safety risk prevention and control cloud service platform, the intelligence and collaboration level of campus safety management is remarkably improved.

The invention relates to the technical field of ozone control, in particular to a creeping discharge ozone control optimization method, which comprises the following steps: acquiring temperature, humidity, voltage and ozone concentration data based on a discharge device, performing proportion conversion and optimization, extracting trend characteristic factors, screening nodes according to relevance, and sequencing to obtain a creeping discharge ozone control model; the combined effect of electricity, temperature and humidity on ozone change is analyzed, the regulation and control unit is identified, and load distribution configuration is optimized. According to the invention, normalization processing is carried out on temperature, humidity, electrical and ozone concentration data collected in a region, a data linkage mechanism with temperature and humidity change as a core is constructed, node response performance is dynamically sequenced, and periodic data change is fused, so that a set of control flow for cooperatively adjusting temperature, humidity and electrical parameters is formed; real-time adjustment of partitioned loads and dynamic optimization of energy distribution are realized, agile response and multi-region difference matching capability of ozone generation regulation are brought, and the stability under ozone yield fluctuation is improved.

The invention relates to the technical field of enterprise operation management, in particular to an enterprise operation demand data linkage analysis method and system, and the method comprises the steps: obtaining a communication text, and carrying out the analysis to obtain information definition degree data; based on the keyword weight table, obtaining an emotion recognition result; obtaining project objective state data, and comparing the project objective state data with the corresponding emotion recognition result to obtain inconsistency degree data; calculating a channel reputation score based on the information definition degree data and the inconsistency degree data; outputting a project risk result according to the channel reputation score; and when the channel reputation score is lower than a preset first threshold value and it is detected that the information definition degree data is higher than a preset second threshold value, triggering a high-priority risk alarm, and outputting a project risk result. The method has the advantages that the problem of inaccurate project risk identification caused by information distortion and data sparsity in the prior art can be effectively solved, and the reliability and timeliness of risk judgment are remarkably improved.

The invention discloses a saline-alkali soil multi-water-source accurate salt control irrigation and drainage integrated system and equipment, and relates to the technical field of saline-alkali soil irrigation and drainage, and the system comprises a multi-water-source intelligent evaluation and dynamic allocation module, an accurate salt control-irrigation and drainage cooperative regulation and control module and an integrated anti-blocking salt discharge and tail water reuse module; by monitoring water source salinity, soil data and a crop salt demand model in real time, dynamically calculating an optimal water source combination, for example, low-salt rainwater is preferentially used for sensitive crops, and a valve is automatically regulated and controlled to switch water sources, the scheme has the advantages that high-salt brackish water is prevented from aggravating salinization, the water resource utilization rate is increased by 30% or above, and blindness of traditional artificial experience allocation is solved; meanwhile, decision making is driven through multi-module data linkage, for example, the irrigation and drainage proportion is regulated and controlled through water source data, and the control unit responds to salinity exceeding within 10 seconds; the scheme has the advantages that manual intervention is reduced by 90%, the engineering advantages of anti-corrosion flow guide design, water flow driving energy conservation, modularization, easy maintenance and the like are implied, and the method is suitable for various saline-alkali land terrains.

The invention discloses a low-altitude unmanned aerial vehicle dynamic visual positioning method and device under an ultra wide band, and relates to the technical field of unmanned aerial vehicle positioning and navigation.The method comprises the steps that UWB anchor points are arranged in an operation area, a low-altitude unmanned aerial vehicle calibration operation track is obtained, and an anchor point set is configured through signal fitting; when the unmanned aerial vehicle works along the track, the anchor point group is activated according to the front authentication track point; receiving a UWB signal and carrying out abnormity identification; if the threshold value is triggered, activating a visual acquisition device, and obtaining IMU data; visual key feature points are extracted, the dynamic fusion network is initialized, the pose is corrected based on multi-source data linkage, and a linkage pose correction result is generated. The technical problems that in non-electrical variable control and adjustment of the low-altitude unmanned aerial vehicle pose in the prior art, due to the complex environment, positioning deviation and failure are prone to occurring, and the requirement for precise operation is difficult to meet are solved, precise positioning of the low-altitude unmanned aerial vehicle pose is achieved, precise positioning in the complex environment is achieved, the failure is avoided, and the working efficiency is improved. And the technical effect of precise operation requirements is met.

The invention provides an online car-hailing driver qualification dynamic verification system and method based on multi-source information fusion. Comprising a multi-source information acquisition module used for receiving related data submitted by a driver end and performing consistency verification by using a person-certificate consistency detection algorithm to generate a first verification result; the data consistency comparison module is used for carrying out cross-certificate comparison and generating a second verification result; the automatic auditing and decision-making module is used for outputting a driver qualification auditing conclusion and a conclusion identifier according to a preset city auditing rule base and the second verification result; the training task management module is used for matching and distributing a training course task for the target driver account according to the conclusion identifier, and receiving a training completion state; and the vehicle authority control module is used for opening or keeping limitation on the order receiving authority of the target driver account according to the conclusion identifier and the training completion state, and dynamically adjusting the order receiving authority. According to the invention, rapid auditing, automatic training distribution, data linkage and real-time dynamic compliance management and control can be realized.

The invention belongs to the technical field of medical training, and particularly relates to a method and a system for constructing a virtual operating room resource library for reappearing an offshore operation scene, and the method comprises the following steps: 1, collecting offshore medical data and scene demands: collecting an offshore environment and medical data, and determining medical care core capability demands; in the application, coupling parameters generated by a sea condition dynamic sensing module drive a mixed reality scene rendering module to present real shake and environment change; meanwhile, parameters are synchronously input to the equipment modeling module, fault response of virtual equipment is triggered, a user operates the virtual equipment through the interaction module and executes an operation on a virtual human body model, and the resource library management module guarantees reusability and updatability of resources in the whole process. Through real-time data linkage among the modules, total-factor dynamic coupling of sea conditions, scenes, equipment and operation objects is finally realized, and the problem of simulation distortion of a traditional system is solved.

The invention relates to the technical field of intelligent manufacturing, and discloses a silicon carbide smelting whole process data linkage ERP management method, which comprises the following steps: collecting multi-source data of a silicon carbide smelting whole process in real time; constructing a dynamic tensor model, and updating node features based on a dynamic graph convolutional network; embedding a silicon carbide smelting process equation as a constraint condition into the tensor decomposition process, and solving a tensor factor matrix through a constraint optimization algorithm; performing incremental tensor decomposition on the newly added data slices, and updating real-time data change; dynamically adjusting weight coefficients of the process target and the business target according to real-time business requirements; and issuing the optimization instruction to production equipment. By constructing a four-dimensional dynamic tensor model, multi-dimensional data such as equipment operation states, process parameters and business requirements are uniformly mapped into structured feature representation, the problem of local optimization caused by data islands in a traditional method is solved, and high-precision data support is provided for global decision-making in the silicon carbide smelting process.

The invention relates to the technical field of risk prevention and control, in particular to an electric power engineering construction site safety management method and system, and the method comprises the following steps: analyzing the spatial relation between constructors and high-voltage cable laying points based on the positioning and operation paths of the constructors, screening and adjusting path nodes, and judging the distribution of abnormal resident personnel; and dynamically evaluating the working condition risk level by combining the regional personnel density and the meteorological change, and adjusting the risk level of the operation region. According to the invention, through fusion of space positioning, path behaviors, risk monitoring and meteorological data, dynamic capture of operation behaviors and environment changes, combination of path space optimization and resident behavior screening, active perception of a space interaction relationship between personnel and a risk area, linkage of personnel distribution and extreme meteorology, continuous identification and linkage judgment of risk characteristics are realized, and the risk characteristics can be identified more accurately. And the partition risk levels are updated in real time according to operation behaviors and environmental conditions, and the field risk data linkage breadth and depth are enhanced.

The invention discloses a high-computing-power data center operation and maintenance automatic execution system, and relates to the technical field of data center operation and maintenance control. The method comprises the following steps: acquiring human-machine-ring-task full-dimensional data, and integrating historical and static data; forming an ability state level Cs through multi-dimensional index weighted analysis; calculating a task risk level Rt from four dimensions; constructing a matrix and a rule base, and mapping a control strategy; the Cs and the Rt are dynamically updated, and the operation and maintenance scheme is adjusted in a linkage mode; and writing back abnormal data, triggering training and reevaluation, and optimizing the model and rules. According to the method, traditional operation and maintenance data islands are broken, pain points such as risk perception lag and regulation and control discretization are solved, accurate matching of personnel capabilities and task risks is realized through full-process data linkage, operation and maintenance safety, accuracy and efficiency are improved, continuous optimization of the personnel capabilities and a system model is promoted, and reliable support is provided for stable operation of a data center.

The invention discloses a tobacco marketing abnormal address management and control method, system and device based on GIS and multi-dimensional data fusion and a medium, and belongs to the technical field of tobacco industry informatization and internet marketing. The technical problems that in the prior art, address risk control dimensionality is single, query precision is insufficient, data linkage is lacked and visual analysis capacity is weak are solved. According to the technical scheme, the method comprises the steps that abnormal address data is constructed and queried based on a multi-dimensional label; gIS visualization and correlation analysis based on a mixed similarity model: GIS positioning and range loading, spatial candidate set filtering, text similarity fine screening, mixed weighted scoring and visualization rendering and statistics are realized through the mixed similarity model of spatial index coarse screening and text algorithm fine screening, and correlation order detail form display based on GIS range triggering is carried out.

The invention discloses a clinical medicine practical skill multi-dimensional evaluation and analysis system, and relates to the technical field of clinical medicine education and skill evaluation, and the system comprises a multi-source data collection module which obtains operation and other multi-dimensional data; the data standardization preprocessing module unifies formats, corrects exceptions, encrypts and desensitizes; the data intelligent quantitative calculation module converts a quantitative result by using an algorithm; the multi-dimensional dynamic evaluation module constructs a three-dimensional model, sets three stages of periods, and combines AI and manual output scores; the personalized feedback module generates a report and a scheme and supports multi-scene data linkage; according to the method, multi-source data is integrated, the limitation of single data of traditional evaluation is broken through, the difficult-to-quantify ability is converted into objective indexes through an intelligent algorithm, a three-dimensional evaluation model and a three-level evaluation period are constructed, skill development is dynamically tracked, AI and manual rechecking are fused, efficiency and accuracy are balanced, and a personalized scheme and a multi-scene report are generated. And clinical medicine evaluation upgrading is promoted.

The invention discloses a modularized multi-channel dynamic layout method for a three-dimensional scene of a data center machine room, which comprises the following steps of: firstly, defining a topological relation data structure of a directed acyclic graph model based on a machine room design drawing, and accurately describing spatial layout characteristics of multiple channels, bifurcated channels and asymmetric channels through weight parameters; equipment such as a cabinet, an air conditioner and a power distribution module are modularized into Unity preforms, and a unified data structure including equipment types, position coordinates and data interface mapping is established; a data binding component is mounted on each prefabricated body, so that digital twin linkage with a rear-end monitoring system is realized, and real-time state visualization is supported; after layout is completed, structured JSON data is generated and uploaded to a server, and a user can load a historical version in a one-key mode and rapidly reproduce a scene. According to the method, the layout generation efficiency is improved by more than 50%, dynamic generation of a complex topological structure during operation is supported, a complete digital twin closed loop from geometric layout to data linkage is realized, and the planning and operation and maintenance efficiency of a data center is remarkably improved.

The invention discloses a visual interface display method and system for medical communication, and belongs to the technical field of medical communication visualization. The method comprises the following steps: acquiring an operation type, calling a corresponding scene template, synchronizing an image, completing three-dimensional reconstruction and generating an interactive anatomical model; main view real-time rendering is carried out, multi-dimensional data linkage display is realized, and a remote connection signal is obtained; when the remote connection is successful, allowing an expert to label the anatomical model; when abnormity is detected, risk early warning is triggered; calculating a network quality index, performing weighted calculation, and generating a network quality score; when the network quality score does not meet the communication condition, key anatomical feature points are extracted, and feature vectors are generated; traversing a feature database of the anatomical model, and matching with the feature vectors; positioning a focus area in the main view field, and executing area replacement logic; calling a medical network topology library, and screening alternative networks; and when no single network in the topological structure meets the requirement, starting a link aggregation mechanism.