440 results about "Dynamic visualization" patented technology

The invention discloses an intelligent substation safety measure checking method and system, and the method comprises the steps: obtaining a secondary system topological structure, equipment information and historical safety measure ticket data of a substation, and constructing a quaternary knowledge graph; according to the quaternary knowledge graph, extracting multi-modal features of the maintenance task and identifying the type of a maintenance scene by combining a memory guide reflection decision reasoning mechanism, optimizing a rule reasoning process through a distributed guide local search algorithm, and generating an optimal safety measure operation set for a specific maintenance scene; automatically identifying a correlation loop and determining a minimum safety isolation range through a memory guide decision reasoning mechanism, dynamically generating a minimum safety operation set according to the real-time state of the equipment, and adaptively adjusting operation steps; and an operation dependency relationship model is constructed in combination with unwrapping variational multi-graph representation learning and a distributed guide local search algorithm, and operation sequence compliance verification, risk level assessment and dynamic visual early warning are realized. According to the invention, accurate formulation, dynamic adjustment and risk early warning of safety measures of the intelligent substation are realized.

The invention relates to the technical field of surveying and mapping information processing, and discloses a surveying and mapping information intelligent analysis and visualization system based on the Internet of Things. According to the system, a building space data acquisition terminal acquires geometric feature point cloud and environmental parameters of the surface of a building structure in real time through distributed Internet of Things nodes; the multi-source heterogeneous data fusion engine performs space-time alignment processing on the geometric feature point cloud to generate a building total-factor topological skeleton with an absolute coordinate system; the three-dimensional topological relation reconstruction module is used for extracting a spatial constraint relation of building components according to the topological skeleton and establishing a hierarchical building information model capable of being edited in a parameterized manner; and the dynamic visual rendering platform is used for generating a multi-scale spatial index based on the hierarchical building information model, and driving real-time light and shadow effects and interactive sectioning analysis. According to the system, full-process automatic processing and dynamic visualization of building surveying and mapping data are realized.

The invention relates to the technical field of smart city data visualization, in particular to a visual smart city display method, which comprises the following steps: S1, collecting traffic flow data, energy consumption data, environment monitoring data and city three-dimensional geographic information data in real time; s2, constructing a reference three-dimensional model with a space coordinate system; s3, mapping the data into a dynamic data layer with a timestamp; s4, superposing the dynamic data layer to the reference three-dimensional model according to space-time coordinates to generate a fused dynamic scene; s5, receiving deduction parameters input by a user, and calculating a corresponding evolution path in real time; and S6, converting the evolution path into a dynamic visualization effect, and outputting the dynamic visualization effect to a display terminal. According to the invention, through integrated processing of multi-source dynamic data fusion, space-time path deduction and visual output, continuous expression and dynamic evolution display of the operation state of the smart city are realized.

The invention discloses an intelligent data stream processing system based on Flink and an implementation method thereof, and belongs to the technical field of distributed streaming data processing, and the implementation method comprises the following steps: a data source access layer uniformly accesses multi-source data; the entity monitoring layer captures service entity change in a non-intrusive manner based on JPA, generates a standardized message body and asynchronously delivers the standardized message body to double channels; the unified event model layer maps the data into a standardized event and expands the standardized event; the Flink stream processing engine layer is used for complex event processing, state management and window calculation, and supports declarative pipeline definition and dynamic construction; the anomaly detection layer performs multi-dimensional anomaly detection; the distributed task scheduling layer schedules tasks according to a DAG model, and realizes load balancing through hotspot splitting and state transition; and the result storage and visualization layer adopts a cold and hot separation strategy to store data, and provides a dynamic visualization interface. The real-time performance, the consistency and the intelligent level of data processing are remarkably improved, and the development and maintenance cost is reduced.

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 power distribution area fluctuation load early warning method and system, and relates to the technical field of power distribution network intelligent monitoring and control. The method comprises the following steps: constructing a digital twinborn model synchronous with an operation state, carrying out time domain and frequency domain conjoint analysis on a digital twinborn data set, extracting a power amplitude change rate and a phase jump index, and generating a load fluctuation vector; determining an adaptive threshold based on the statistical characteristics of the load fluctuation vector and historical load distribution, and generating a primary early warning signal when the fluctuation exceeds the limit; using a distributed collaborative analysis algorithm to identify a dominant load source and an imbalance category; performing correlation analysis on the identification result of the dominant load source and the primary early warning signal to generate comprehensive early warning information; and the comprehensive early warning information is output to a power distribution area monitoring platform, so that dynamic visualization and intelligent regulation and control are realized. According to the method, real-time identification and active early warning of the fluctuation load of the power distribution area can be realized, and the safety and the intelligent level of system operation are improved.

The invention discloses an intelligent data question answering and visualization system and method for leader decision making, and relates to the technical field of artificial intelligence, and the system comprises a knowledge base unit, an intelligent question answering module, a dynamic visualization unit, a quality control unit and a performance optimization unit. According to the method, the customized knowledge base is constructed through the knowledge base unit, cross-modal alignment and layered long context processing are weakly supervised during data fusion, the defects that cross-modal data labeling cost is high and long context processing is redundant can be overcome, and an interaction platform of the knowledge base and a data engine in the knowledge base unit is constructed through the intelligent question and answer module; the model mixing module mixes an NLP model, constructs a combined architecture of an LLM + field fine tuning model, ensures understanding of natural languages and intention analysis precision, introduces an online expert error correction mechanism, and reduces misjudgment during question answering, so that the processing capacity of long texts or complex logic can be ensured, missing of key information in question answering is avoided, and then the answering quality is ensured.

The invention relates to an energy digital metering monitoring and tracking method and system, and relates to the technical field of energy digital management, and the method comprises the steps: deploying a plurality of energy metering terminals in a physical energy network to collect energy consumption data in real time, and executing local energy carbon emission metering through an embedded carbon emission calculation assembly; uploading a metering result to a cloud monitoring center, and constructing a virtual mapping model based on a digital twinning technology in combination with topological information of a physical energy network; synchronizing the measurement data to the virtual mapping model, and performing visual tracking on the measurement data in combination with topology analysis and a particle tracking technology to generate an energy flow dynamic visual map; carbon emission footprint traceability tracking is carried out according to the atlas, and energy digitization metering is realized based on a traceability result. According to the invention, the problems of insufficient energy metering precision and incomplete carbon footprint traceability caused by the lack of dynamic visual tracking means due to the fact that differential adaptation is not carried out in combination with metering characteristics in traditional energy metering monitoring are solved.

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 belongs to the technical field of data visualization, and particularly relates to a dynamic visualization generation method, system and device based on user behaviors and context awareness and a medium, and the method comprises the steps: generating a structured operation sequence after standardizing original input data; performing time sequence modeling on the operation sequence to generate a user behavior semantic vector, and generating a joint feature vector by adopting an attention mechanism; pre-loading an input data set, and generating a candidate view set in combination with the user intention preference in the joint feature vector; calculating view scores through a layout optimization function, and screening an optimal view scheme with the highest score; dynamically simplifying or enhancing the chart component according to the equipment performance and context parameters in the joint feature vector; calling a rendering engine to output a view, and monitoring a user interaction event; and updating the strategy network through a PPO algorithm, and optimizing a subsequent view generation path. The problem of unsmooth interaction caused by a static template is avoided, and the user experience is remarkably improved.

The invention relates to the technical field of geological engineering, discloses an agent-based three-dimensional geological model auxiliary construction method and device, and aims to solve the problems of low efficiency and accuracy, slow rendering response and few interaction functions of an existing method. The scheme mainly comprises the following steps: generating a three-dimensional generalized model base based on an AI model; performing verification and correction by using a graph neural network to obtain a three-dimensional compliance model base; an optimized geological parameter field is obtained based on Fourier feature mapping and a GeoFormer-PT model; embedding the optimized geological parameter field into three-dimensional software to realize dynamic visualization of a three-dimensional geological model; carrying out visual enhancement on the three-dimensional geologic model; an interactive operation platform is introduced into three-dimensional software. According to the invention, the construction efficiency, accuracy and rendering response speed of the three-dimensional geologic model are improved, and a man-machine interaction function is added.

The invention discloses an all-optical three-dimensional scanning confocal fluorescent microscopic imaging device and an implementation method thereof. According to the invention, through a deep learning driven adaptive regulation and control method, CNN is adopted to process spatial distribution data and dynamically regulate and control a phase hologram and the light intensity and phase compensation of a laser, so that the focal point of exciting light is subjected to aberration-free axial displacement, a bidirectional parallel optical scanning track of a two-dimensional scanning system is optimized, and all-optical three-dimensional scanning is realized; lSTM and TCN are combined to obtain a time sequence dependency relationship, a laser light source, an adjustable diaphragm, an electric focus-adjustable lens and a photoelectric detector are integrally controlled, efficient synchronization and automatic operation and high-speed axial focusing adjustment are realized, errors and time sequence mismatch are eliminated, optical characteristics of different samples and environmental interference are automatically adapted, and high-quality imaging is kept. The robustness and the applicable scene range of the system are improved; the method is used for model biological embryo real-time tracking, intracellular signal molecule dynamic visualization, cell membrane protein migration and aggregation observation and intracellular organelle interaction tracking.

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 invention provides a rotating mechanical system performance evaluation and optimization method and system based on system negentropy conversion rate, and the method comprises the following steps: carrying out the numerical simulation of a flow field of a rotating mechanical system through a computational fluid mechanics method, and obtaining the parameters of the flow field; calculating a viscous dissipation entropy yield, a turbulent dissipation entropy yield and a wall entropy yield in the fluid domain based on the flow field parameters; the total entropy yield of the system is obtained through the volume fraction and the wall area fraction of the whole fluid domain; converting the input power of the rotating machinery into an equivalent negentropy flow, and calculating the negentropy conversion rate of the system for evaluating the effective utilization degree of the input power; and evaluating the performance of the rotating machinery system based on the negentropy conversion rate, and identifying a key area of energy loss. According to the method, the negentropy conversion rate result is applied to structural design optimization, running state diagnosis and energy efficiency adjustment of the rotating machinery, and online calculation and dynamic visualization can be realized in combination with real-time monitoring data.

The invention discloses a dynamic visual noise monitoring method and system, and relates to the technical field of noise monitoring, and the method comprises the steps: obtaining the position coordinates of noise monitoring points in a to-be-monitored region, and collecting the noise intensity sequence of each noise monitoring point in real time; based on the noise intensity sequence, obtaining position coordinates and noise intensity of the estimated noise source; dividing a to-be-monitored area into a plurality of sub-areas, and obtaining a target area of a to-be-interpolated position; calculating interpolation weights of each noise monitoring point and each estimated noise source in the target area based on the position coordinates of the noise monitoring points and the estimated noise sources; performing bimodal interpolation on the to-be-interpolated position to obtain the noise intensity of the to-be-interpolated position; mapping the noise intensity and color of each position to be interpolated to obtain a noise intensity thermodynamic diagram of the area to be monitored; according to the invention, accurate interpolation can be carried out on the noise intensity of an unknown position, the accuracy of noise monitoring is enhanced, and a dynamic visualization effect of noise monitoring is realized.

The invention provides a dynamic visual simulation system and method for carbon dioxide formation water reaction precipitation, and belongs to the technical field of geological sequestration. The dynamic visual simulation system and method for the carbon dioxide formation water reaction precipitation comprise a microcosmic etching chip model; a piston container; the pressure-making injection system is connected with the piston container; a carbon dioxide liquefaction module; the carbon dioxide quantitative injection system is connected with the carbon dioxide liquefaction module; the supercritical generator is connected to the downstream of the carbon dioxide quantitative injection system; a microscopic etching chip model is arranged in the visual reaction kettle, and the visual reaction kettle is connected with the supercritical generator; the back pressure loading system is connected to the outlet end of the visual reaction kettle; the microscopic image visual acquisition module is arranged above the visual reaction kettle; an annular pressure tracking pump; the control terminal computer is connected with all the modules, and the problems that the influence rule of sediment on reservoir seepage in carbon dioxide geological sequestration is unclear, and sequestration risks are difficult to predict are solved.

The invention provides an in-situ real-time monitoring method and system for a rock microscopic fracture mechanism and stress evolution. The method comprises the following steps: S1, standardized preparation and pretreatment of a rock sample; s2, in-situ loading and multi-modal data synchronous acquisition are carried out; s3, crack dynamic tracking and stress-strain field joint calculation; s4, constructing a microscopic-macroscopic quantitative correlation and damage model; and S5, performing multi-dimensional dynamic visualization and engineering output. The in-situ scanning electron microscope and the mechanical loading device are integrated, so that cross-scale synchronous monitoring and quantitative analysis of micro crack evolution and macroscopic stress-strain response are realized. A low-disturbance clamping device and a conductive anti-charge sample are treated, and in-situ testing is ensured; combining DIC and deep learning to quantify a crack propagation path, a local strain field and energy characteristics; through DIC strain inversion and finite element calculation, a non-contact stress cloud picture is generated in real time, and finally quantitative correlation between a microscopic fracture mechanism and macromechanical response is established.

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 coal mine tunnel surrounding rock three-dimensional intelligent sensing method and system. The sensing method comprises the following steps: S10, constructing a coal mine tunnel space three-dimensional sensing system based on three-dimensional laser full-section scanning and discrete measuring point real-time sensing, and obtaining a tunnel monitoring parameter data set through the sensing system; s20, constructing a roadway surface deformation prediction model based on real-time sensing data and a roadway point cloud redistribution model driven by prediction data according to the characteristics of the parameter data set; and S30, dynamically visualizing the roadway and the deformation point cloud data of the roadway by using the roadway surface deformation prediction model based on the real-time sensing data and the roadway point cloud redistribution model driven by the prediction data.

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 a digital power equipment management system which comprises an equipment automatic management module, a network topology visualization module, an intelligent alarm strategy engine, an automatic inspection execution module, a work order closed-loop management module, a multi-dimensional safety management and control module, an asset full-life-cycle data center and an AI fault prediction module. According to the invention, automatic discovery and full-life-cycle intelligent management of equipment can be realized, network topology dynamic visualization and fault rapid positioning capabilities are improved, a false alarm rate and operation and maintenance cost are reduced through triple verification intelligent alarm and adaptive routing inspection, a standardized operation and maintenance system is constructed in combination with a work order closed-loop process and multi-dimensional safety management and control, and the operation and maintenance efficiency is improved. And potential faults are warned in advance by using an AI prediction technology, so that the intelligent level and the operation reliability of power equipment management are comprehensively improved.

The invention discloses a mountain torrent visual simulation chain service construction method and system based on data model knowledge association integration, belongs to the technical field of disaster prevention and reduction informatization, and solves the problems of disordered model input standards and the like in the prior art. The method comprises the following steps: acquiring multi-scale mountain torrent data; the method comprises the following steps: constructing an ontology model based on multi-scale mountain torrent data to perform structured expression, and realizing mountain torrent scene data-simulation model-domain knowledge-oriented integrated association integration based on a large language model, cue words and external real-time monitoring data as constraint conditions to construct a mountain torrent data model; hierarchical simplification is carried out on mountain torrent dynamic visualization process data based on human eye visual perception characteristics and a mountain torrent data model, simplified mountain torrent grid data is used as original calculation data, and a'transmission-calculation-drawing 'elastic scheduling algorithm is constructed in combination with a user request to carry out dynamic visualization simulation on mountain torrents. The method is used for constructing the mountain torrent visual simulation chained service of data model knowledge association integration.

The invention provides a method for realizing a PPT table conditional format function, which comprises the following steps of: S1, receiving a PPT file transmitted by a user, and creating a PPT object; s2, element objects in the PPT objects are traversed, and table objects are judged and stored in a table set; s3, judging and traversing table objects in the table set, reading conditional format script content, analyzing and storing the conditional format script content into a script set; s4, traversing the script objects in the script set, and screening table cell objects meeting the range from the current table objects according to the starting and ending positions of the cells of the current script object; s5, executing the conditional function and screening out table cell objects needing style setting; s6, executing the style function to complete conditional style rendering of the table cells; according to the method, the PPT file is automatically analyzed, the conditional format is dynamically applied to the table according to the real-time data of the table, the dynamic visualization effect is achieved, and the working efficiency is 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 discloses a construction period carbon emission visual regulation and control method and system. The method comprises the following steps: obtaining a visualization level and a visualization model containing BIM data; responding to an input operation on the visual level and the visual model, and determining a to-be-processed component; when the input operation is a component updating operation, updating component data of the to-be-processed component in the visual model; and when the input operation is a component display operation, displaying the to-be-processed component according to the later rendering color corresponding to the to-be-processed component. The invention provides a construction period carbon emission visual regulation and control method and system, and aims to solve the technical problem that dynamic visual display and active regulation and control cannot be performed on construction period carbon emission in the prior art.

The invention discloses an RNA (Ribonucleic Acid) binding protein enrichment analysis method based on single cell expression profile data, which comprises the following steps of: writing an interactive online Web application program by using Shiny, carrying a data visualization tool, and using an RBP (Reactive Binding Protein)-gene database as a database; the method is specially designed for single cell data, different single cell data can be integrated for enrichment analysis, and expression profiles and RBP dynamic changes in single cells can be effectively captured and analyzed; rBP enrichment analysis is customized for single cell data, a single group and multiple groups of single cell expression data are preprocessed, including normalization processing, and a statistical model is used to evaluate enrichment significance at each time point, so that the analysis accuracy and biological correlation are improved; a dynamic visualization tool is provided, the dynamic visualization tool comprises a customizable network diagram, an interactive bar diagram and detailed table display, and a user can adjust a plurality of parameters of a view according to needs and directly download images and data from an interface.

The invention discloses a multi-dimensional graph series-parallel and visualization method for telecommunication network fraud cases based on a graph database. According to the method, intelligent series-parallel analysis across time-space cases is realized by constructing a knowledge graph containing various entities such as cases, personnel, accounts and equipment and deeply fusing a hard association matching algorithm and a soft similarity graph algorithm. The system has the functions of white list filtering, time sequence behavior analysis, NLP information extraction and the like, and can effectively identify criminal gangs, track fund flow directions and mine crime modes. And finally, dynamic visual display is carried out through a plurality of interactive views such as a force-oriented graph, a time axis and a mulberry-based graph, and clue intelligent pushing and report automatic generation are supported. According to the method, the case association mining depth, the serial-parallel analysis efficiency and the interpretability of a complex network are remarkably improved, and an efficient technical support is provided for the public security organization to fight against telecommunication network fraud.