442results about How to "Realize visualization" patented technology

The invention provides a firewall attacked surface carding and security reinforcing method, which comprises the following steps of: protecting sensitive data in each link of data flow in an identified supply chain, deploying a data leakage prevention gateway on a data flow link, and adopting deep packet detection of content awareness to carry out security reinforcement on the data flow link. Visualized presentation and security auditing of data flow behaviors are realized, and abnormal data flow is blocked and alarmed; the method comprises the following steps: constructing a security policy configuration knowledge base, mapping service description into a security policy component, automatically generating a fine-grained security policy matched with service semantics by adopting a policy generation engine based on combination of rules and deep learning, and realizing cross-scene policy conflict detection and correction by virtue of reasoning of a constructed knowledge graph.

The invention relates to the technical field of image classification, in particular to a fetal heart monitoring image classification method and system based on a neural network. The method comprises the following steps: acquiring a fetal heart monitoring image, generating a standard monitoring image through Gaussian noise elimination and spatial domain normalization, then performing multi-channel convolution on the standard image to extract image convolution features, obtaining standard fetal heart features through compression regular optimization, performing morphological reconstruction to generate a fetal heart dynamic model, and finally obtaining the fetal heart dynamic model. Baseline features are identified based on historical data, then periodic variation quantification and safe floating range derivation are performed on fusion features, and finally a multi-scale discrimination framework is constructed to realize intelligent classification of fetal heart monitoring images. The fetal heart monitoring image classification method is more stable and more accurate.

The invention provides a sewage treatment operation cloud platform based on Internet of Things and GIS, and the platform is characterized in that a data collection layer is used for obtaining user water consumption data and sewage pipe network data, and distributing all the data to each edge calculation node; the data storage layer is used for temporarily storing the data preprocessed by the edge computing node into a high-frequency storage chain, aggregating to obtain sewage pipe network comprehensive data, and permanently storing the sewage pipe network comprehensive data into a low-frequency storage chain; the data analysis layer is used for extracting sewage pipe network comprehensive data in the low-frequency storage chain, constructing a multi-dimensional dynamic GIS model by utilizing a GIS system, analyzing and predicting the multi-dimensional dynamic GIS model through a sewage treatment rectification analysis model, and generating a sewage treatment rectification plan of the sewage pipe network according to an analysis and prediction result; and the application service layer is used for acquiring all the sewage treatment and rectification plans and distributing all the sewage treatment and rectification plans to a management client held by a sewage pipe network manager. The sewage treatment device has the effect of efficiently and intelligently realizing sewage treatment.

The invention discloses a hydraulic gate operation posture monitoring and early warning device and method. The device comprises a force measuring sensor, an acceleration sensor and a rocking-turn sensor which are arranged on the surface of a hydraulic gate metal structure, and meanwhile a controller module, a power module and a communication module are arranged on the top of a gate leaf. Through sensors arranged at specific positions, monitoring data such as gate opening and closing force F, gate attitude (a ', omega', alpha, beta and gamma) information and operation excitation acceleration (vibration frequency f and amplitude h) are obtained, then the monitoring data of the sensors are processed in a centralized mode through a monitoring control module, and an information frequency spectrum of the gate operation attitude is extracted; and obtaining the operation attitude of the gate according to a maximum membership principle fuzzy comprehensive evaluation method, and verifying and comparing the operation attitude with the limit value and the inherent frequency to identify the operation safety attitude of the gate.

The invention relates to the technical field of grouting simulation tests, in particular to a test device and method for simulating dynamic water condition composite stratum tunnel grouting, and the test device for simulating dynamic water condition composite stratum tunnel grouting comprises a model box, a water storage tank, a single-ring duct piece, a dynamic water simulation system, a grouting system and a data acquisition and analysis system; the model box is filled with a permeable medium, the single-ring duct piece is arranged in the permeable medium, the grouting system is connected with the single-ring duct piece, and grouting slurry is colored; the dynamic water simulation system comprises a water supply system and a drainage system, the data acquisition and analysis system is arranged on one side of the model box and used for acquiring and analyzing the state of grouting slurry in the model box, and the problem that grouting and seepage conditions of different seepage fields cannot be visually observed and simulated in a traditional grouting test is solved. The seepage field grouting simulation test is simplified, and the seepage field grouting effect in the pore stratum cannot be effectively researched.

The invention discloses an active learning-based electric power knowledge graph construction method and system, and relates to the technical field of electric power market transaction data analysis, and the method comprises the steps: collecting data, cleaning the collected data, generating word prediction task data of an electric power transaction scene, and training an electric power field word embedding model; generating an entity relationship training sample, inputting a word embedding model, performing entity relationship label prediction through an entity relationship joint extraction model, extracting a high-quality sample based on active learning to perform part-of-speech tagging, and training the model based on a tagged sample; and applying the trained entity relationship joint extraction model to power transaction data to construct a knowledge graph, performing manual correction and entity unification, and storing the knowledge graph into a Neo4j database. According to the method, active learning and deep learning are combined, so that the sample labeling cost is effectively reduced, and meanwhile, the model performance is ensured.

The invention discloses a three-dimensional detection system and detection method for mine safety, and relates to the technical field of mine safety. The unmanned aerial vehicle platform comprises an unmanned aerial vehicle and an unmanned aerial vehicle controller. The three-dimensional acquisition device is mounted on the unmanned aerial vehicle, and the three-dimensional acquisition device comprises a high-resolution camera, an infrared sensor and a laser scanner; the data transmission and processing module is used for receiving the point cloud data transmitted by the three-dimensional acquisition device, processing the data through a professional three-dimensional reconstruction algorithm and generating a three-dimensional model of the mine environment; the three-dimensional image rendering module is used for rendering the three-dimensional model to realize visualization of the mine environment; and the safety deduction analysis module is used for carrying out classification and early warning on potential hidden dangers based on the three-dimensional model and through a preset safety evaluation standard. By combining the high-resolution camera, the infrared sensor and the laser scanner, three-dimensional data of the mine environment can be quickly obtained, and an accurate three-dimensional model is generated through a professional algorithm.

The invention discloses a data processing method and device, a storage medium and electronic equipment. The method comprises the steps that a dependency collection plug-in is created under a construction node in a project object model file of a target application, the project object model file is analyzed through the dependency collection plug-in, initial dependency data of the target application is determined, and the target application is set to be deployed on at least two platforms with different platform identifiers; monitoring different stages in the construction process of the target application, and determining change dependency data of the target application; processing the initial dependency data and the change dependency data into target dependency data, and uploading the target dependency data to a target database; and in response to the target query message, querying and displaying the target dependency data from the target database. The technical problem of low query efficiency depending on data is solved.

The invention discloses an existing building outer wall internal and external heat insulation energy consumption optimization method based on a building model, and belongs to the technical field of building design. In order to solve the problems of insufficient data comprehensiveness and incomplete thermal insulation scheme evaluation, the thermal insulation performance of a building can be evaluated more accurately by checking an outer wall structure on site, recording material types, damage degrees and the current situation of a thermal insulation layer and combining scientific methods such as thermal resistance testing and heat transfer coefficient measurement; digitization and visualization of building information are achieved through the BIM technology, historical energy consumption data are collected from multiple data sources and systematic arrangement and classification are carried out, the readability of the data is improved, rapid import and analysis can be conveniently carried out in energy consumption simulation software, and therefore the energy consumption condition of a building is reflected more accurately; according to the method, comprehensive coverage of multiple possibilities is achieved, the influence of different heat preservation schemes on energy consumption can be evaluated more comprehensively, differentiated design is conducted on the thickness of the heat preservation layer based on the energy consumption simulation result, and the heat preservation performance of a building is effectively improved.

The invention relates to a traffic accident data analysis and visualization processing method and system for an automatic driving vehicle, and the method comprises the steps: collecting the related original data of a vehicle traffic accident, and carrying out the standardized integration of the original data; performing cleaning and verification processing, time calibration and synchronous processing on the data after the standardized integration to obtain processed data; acquiring a collision time point according to the speed and the path of the accident vehicle; according to the processed data and the collision time point, a collision moment driving mode, vehicle steering before collision, vehicle pedals before collision, vehicle accessories before collision, vehicle faults before collision, traffic signals before collision, road marking before collision and a vehicle state after collision are analyzed, and a key time point is obtained; and according to the processed data and the key time point, carrying out visual display on an analysis result. According to the invention, key time point marking can be realized, and a scientific and standardized accident analysis report can be automatically generated and stored.

The invention discloses a railway engineering unfavorable geology knowledge base construction method and system, and the method comprises the steps: collecting and preprocessing multi-source railway engineering text data, and obtaining a multi-source text data set; performing knowledge extraction, knowledge fusion and knowledge processing based on the multi-source file data set; constructing a railway engineering unfavorable geology knowledge base; and carrying out user interaction design based on a railway unfavorable geology knowledge base. According to the method, unfavorable geological knowledge of railway engineering can be automatically extracted from a large amount of text data, a structured knowledge base is constructed, the knowledge base not only improves the knowledge extraction efficiency and accuracy, but also provides scientific and accurate information support for safety management and decision-making of railway engineering in the form of the knowledge graph, and the method is suitable for popularization and application. Therefore, key fault information can be better mastered for railway operation enterprises, and accurate and effective information data and technical support are provided for decision making.

The invention discloses a goaf gas and coal spontaneous combustion composite disaster simulation system and prediction method, and belongs to the technical field of coal mine thermodynamic disaster evolution process simulation tests. The simulation system comprises a transparent cover body, a simulation test bed, a mining working face similar simulation model, a gas supply unit, a monitoring unit, a camera device and a balancing weight. The inclination angle of the base is adjusted by adjusting the telescopic supporting legs, a water bag is used for simulating a coal seam, and a coal pillar serves as a methane release channel in the simulated mining process. A mining process is simulated, gas is conveyed, methane and oxygen concentration data evolution laws are monitored, a related contour map is drawn, interpolation is carried out to reconstruct a space dangerous area, finally, a phase space reconstruction method is adopted to carry out chaos prediction, and disaster space form changes are analyzed. The simulation test and visualization of the evolution process of the gas and coal spontaneous combustion composite disaster can be realized, a dangerous area is quantitatively represented, a theoretical basis is provided for disaster prevention and control, and the energy safety and the life safety of workers are guaranteed.

The invention relates to a rapid conversion method and system from explicit geometry to implicit geometry, and the method comprises the steps: constructing a linear boundary body hierarchical structure for an input triangular grid, and constructing an octree structure; nodes of the octree structure are used as sampling points, and an adaptive grid unsigned distance field is calculated in parallel for each sampling point; calculating a pseudo normal of the triangular mesh by using an angle weight pseudo normal algorithm, and calculating a symbol of the unsigned distance field of the adaptive mesh by using the pseudo normal of the triangular mesh; and determining data of the sign distance field according to the adaptive grid unsigned distance field and the sign of the adaptive grid unsigned distance field, and completing conversion from implicit geometry to explicit geometry. According to the method, the conversion from implicit geometry to explicit geometry can be quickly realized, the conversion efficiency is greatly improved while high precision is kept, and the performance of graphic processing, physical simulation and application scenes can be improved.

The invention relates to the technical field of environment-friendly emission of coal-fired power plants, and particularly discloses a nitrous oxide emission reduction control system and method for an SCR denitration device. The denitration inlet flue gas parameter monitoring module and the denitration outlet flue gas parameter monitoring module are arranged at an inlet and an outlet of the denitration device; the ammonia spraying flow adjusting device, the denitration ammonia nitrogen mixing device, the catalyst interlayer temperature collecting system and the denitration outlet flue gas parameter monitoring module are sequentially arranged in the denitration device according to the flue gas output direction. The control system further comprises a data analysis and decision module system. The system is used for monitoring and controlling the nitrous oxide emission concentration of a denitration device, optimal process parameters are calculated and set, a control system is input to adjust the chemical reaction component proportion and the reaction temperature, the denitration reaction is promoted to generate nitrogen, the yield of greenhouse gas nitrous oxide is reduced, and nitrous oxide emission reduction control is achieved.

The invention discloses an AR-based intelligent switch cabinet fault diagnosis method and device and electronic equipment, and relates to the field of AR. The method comprises the following steps: acquiring a switch cabinet image collected by AR equipment; based on the switch cabinet image, identifying the internal structure of the switch cabinet by using a preset three-dimensional model identification library to obtain spatial position information of each component of the switch cabinet; constructing a virtual fault diagnosis environment of the switch cabinet according to the spatial position information of each component; acquiring a temperature distribution matrix of each component, and generating a thermodynamic cloud chart of each component according to the temperature distribution matrix; determining a problem part according to the thermodynamic cloud picture, and superposing the problem part to the virtual fault diagnosis environment to obtain a target fault diagnosis environment; and displaying the target fault diagnosis environment to the user through the AR equipment. According to the technical scheme provided by the invention, the internal environment and the problem parts of the switch cabinet are displayed to the user through the AR equipment, and the fault diagnosis efficiency is improved.

The invention belongs to but not limited to the technical field of animal husbandry statistics, and particularly relates to an alpine meadow yak number calculation method and system based on an unmanned aerial vehicle image, and the method comprises the steps: S1, employing an unmanned aerial vehicle to shoot an orthoimage of a sample plot, and carrying out the statistics of the yak number; s2, splicing the shot images by using Pix4D software, screening a proper sample plot, and respectively counting the quantity of wet cow dung and the quantity of dry cow dung in a visual interpretation mode; and S3, carrying out linear fitting on the obtained data by using Origin 2024b, so as to obtain three relation curves. According to the method for estimating the number of the yaks through statistics of the number of the cow dung in the unmanned aerial vehicle image, the workload of data collection is greatly reduced, and the limitation that the number of the yaks cannot be obtained when the yaks are not grazed in the grassland is avoided. According to the invention, the data acquisition frequency of experimenters is effectively reduced, and the research cost is reduced.

The invention discloses a wireless network topology visualization and fault analysis system, and the system comprises a networking state sensing module which is used for collecting the communication state data of various types of wireless transmission equipment in a network environment; the network link visualization module is used for analyzing the data acquired by the networking state sensing module, completing statistics of equipment traffic in a link and completing visual display of an equipment topological graph and traffic use conditions; the network fault management module is used for dynamically monitoring a network node communication state to identify a network fault node and giving an alarm; and the network security visualization module is used for monitoring a network security state in real time, supporting custom configuration of a firewall, and performing alarm and log storage on network security abnormity. According to the method, the connection relation and the topological structure of the equipment in the network can be visually displayed, the fault source can be rapidly positioned, and capacity planning and flow optimization can be carried out.

The invention discloses a traditional Chinese medicine massage glove, system and device, and the glove comprises a glove body which is provided with a plurality of flexible sensors; the flexible sensor is used for collecting pressure data applied to a preset pressing position by adopting a preset technique; the preset manipulation comprises pressing, kneading, dotting, vibrating and shaking; the IMU inertial measurement module is used for collecting operation data in real time, and the operation data comprises a movement track and inertial data; the ADC module is used for converting a voltage analog signal output by the flexible sensor into a digital signal; and the control module is used for analyzing the acquired digital signals and operation data, carrying out massage manipulation analysis and constructing a traditional Chinese medicine massage manipulation database. Accurate data acquisition, real-time feedback and visual display of the traditional Chinese medicine massage manipulation are realized, and the teaching, inheriting and efficiency of the massage manipulation are effectively improved.

The invention discloses a strip mine high and steep slope disaster early warning method and system based on intelligent sensing and multi-source data fusion, and belongs to the technical field of strip mine high and steep slope disaster intelligent early warning. According to video monitoring and multi-source dynamic sensing information, establishing a three-dimensional visualization platform for the high and steep slope disaster of the strip mine; obtaining a slope disaster risk early warning level by using a multi-source data fusion method according to the slope related information; performing early warning reminding according to the slope disaster risk early warning level; and generating a corresponding emergency scheme according to the slope disaster risk early warning level. According to the method, multi-technology, multi-level and multi-scale dynamic sensing of the high and steep slope disasters of the strip mine is carried out, a slope multi-source information integration technology and a three-dimensional visual scene are fused, the comprehensiveness, real-time performance and accuracy of data are guaranteed, and the reliability and timeliness of early warning of the high and steep slope disasters of the strip mine are effectively improved.

The invention discloses a numerical simulation and characterization method for thermal processing characteristics of a tobacco strip moisture regaining process under a complex working condition, and aims to solve the problem that changes of temperature and moisture content of tobacco strips in the moisture regaining process are difficult to accurately characterize. The method comprises the following steps: firstly, acquiring a three-dimensional model and related size parameters of drum-type damping machine equipment through a three-dimensional space sensing technology, carrying out geometric modeling in combination with field measurement data, then, constructing a multi-field coupling numerical model of flexible particles of the tobacco lamina and a flow field in a drum based on CFD (computational fluid dynamics) and DEM (discrete element method) theories, and finally, constructing a multi-field coupling numerical model of the flexible particles of the tobacco lamina and the flow field in the drum. Movement, temperature change and moisture content change rules of the tobacco lamina in the moisture regaining process are simulated. According to the method, through extraction of sensitive process parameters and equipment operation parameters, multi-working-condition numerical simulation analysis is carried out, the accuracy of a numerical model is verified, and finally visual and digital representation of the flue-cured tobacco strip hot processing characteristics is achieved. Experimental results show that the method can accurately simulate the temperature distribution and moisture content change of the tobacco lamina in the moisture regaining process, theoretical support is provided for moisture regaining process parameter optimization, and the inherent quality stability of the tobacco lamina in the moisture regaining process is ensured.

The invention discloses a robot spraying control method and system based on digital twinning, and the method comprises the following steps: constructing a three-dimensional model of a to-be-sprayed workpiece and a robot, the three-dimensional model of the workpiece being composed of triangular meshes; performing mesh refinement on a triangular mesh of the workpiece three-dimensional model to obtain a refined first model; constructing a BVH data structure, and storing triangular mesh parameters in the first model through the BVH data structure; setting spray gun parameters and a thickness color table of the workpiece, wherein the spray gun parameters are spraying flow and a fog cone angle; after the workpiece collides with the nozzle ray, the dyeing thickness of each triangular mesh in the spraying process is calculated, and color endowing is conducted on the three-dimensional model of the workpiece through the dyeing thickness and the thickness color table. The three-dimensional model of the workpiece and the robot is constructed, the robot parameters are packaged, meanwhile, the precise point coordinates are achieved, and the posture and the parameters of the robot can be better and more conveniently adjusted. The problem that the debugging difficulty of the spraying robot is large is solved.

The invention relates to the technical field of intelligent mine mining, in particular to a numerical simulation method for matrix-fracture-roadway water transportation coupling. The method specifically comprises the following steps: extracting matrix and roadway information from a GIS system, and generating simplified one-dimensional roadway grid information including a three-dimensional matrix and a two-dimensional crack; physical property parameters, pressure and speed boundary conditions are set according to actually measured mine conditions; solving the permeability of the three-dimensional matrix and the two-dimensional fracture; carrying out discrete solution on the seepage equation of the three-dimensional matrix and the two-dimensional fracture and the Bernoulli equation of the roadway, and setting coupling conditions, namely, carrying out coupling calculation according to the principle that the pressure intensity is the same and the flow meets superposition, so as to obtain flow velocity information under different dimensions; after one-dimensional roadway rapid calculation, the water inrush flow and the water inrush level are obtained, and on this basis, local visual display and early warning are conducted through an SPH method. By means of the method, the migration condition of underground water can be completely simulated, and then the purpose of optimizing engineering design is achieved.

The invention provides a multi-source heterogeneous data processing method and device, electronic equipment and a storage medium, and is applied to a software operation system and a third-party system.The method comprises the steps that a transmission mode and a data format supported by data access of the software operation system are defined, and multi-source heterogeneous data are obtained from the third-party system according to the transmission mode and the data format; performing data processing on the multi-source heterogeneous data, wherein the data processing comprises data analysis, data cleaning, data conversion and data processing; performing hierarchical storage on the processed multi-source heterogeneous data according to data attributes; and obtaining post-monitoring configuration information of the multi-source heterogeneous data after data processing, and triggering a service logic operation according to the post-monitoring configuration information. According to the method, a network protocol is used for replacing a third-party system for data access, the reuse rate of codes is increased, the development workload is reduced, later iteration and extension of a software operation system are facilitated, and visualization, configuration and full-life-cycle management of data processing can be achieved.

The invention relates to the technical field of artificial intelligence, and discloses an intelligent agricultural risk map visualization method, device, equipment and medium, and the method comprises the steps: extracting a meteorological data set and a remote sensing image set in multi-dimensional recorded data according to the multi-dimensional recorded data of a target agricultural region; performing data space registration on the meteorological data set and the remote sensing image set to obtain a fusion data set; performing data block rendering according to the fused data set to obtain an agricultural map of the target agricultural area; performing agricultural risk prediction on the target agricultural region according to the agricultural map to obtain an agricultural prediction risk; and generating an agricultural insurance map according to the agricultural prediction risk and the agricultural map. Application scenes of the agricultural insurance map are increased, and a more accurate agricultural insurance map is generated.

The invention belongs to the technical field of audio visualization equipment, and particularly discloses a sound wave visualization projection device. Aiming at the defects of an existing sound wave visualization product, the invention provides a method for converting an audio signal into mechanical vibration so as to enable liquid contained in a vibration disc to generate complex standing wave patterns, and the patterns are projected to the surrounding environment after being focused by a lens to create a dynamic light and shadow effect. According to the device provided by the invention, on the basis of playing the audio signal, visualization of complex details and dynamic changes of sound waves of the audio signal is realized, and visual enjoyment with artistry and scientificity can be provided.

The invention relates to a visual method for measuring the expansion rate of an ultrahigh-cycle fatigue internal crack, and belongs to the technical field of measurement of the expansion rate of the fatigue internal crack. A high-speed infrared camera is used for recording a temperature field generated by energy dissipation so as to visualize the crack propagation process, precise positioning of a fatigue crack initiation point of a metal material and in-situ monitoring of the crack propagation process are realized, and the crack propagation rate is obtained by introducing propagation time and load cycle frequency for calculation.

The invention discloses a simulation medical visualization system, method and equipment based on mixed reality, and belongs to the technical field of medical testing. The method comprises the following steps: establishing an internal organ structure of a virtual patient according to size information of a simulated person, positioning and overlapping internal organs of the virtual patient and internal organs of the simulated person, and establishing data intercommunication between the virtual patient and the simulated person; transmitting the cardiopulmonary compression data to a computer host, visually displaying the cardiopulmonary compression data, and synchronously transmitting the cardiopulmonary compression data to a control end and a display end; processing the modeling image data to obtain a modeling image evaluation value, processing the modeling performance data to obtain a modeling performance index, performing comprehensive analysis to obtain a modeling state evaluation value, and performing matching according to the modeling state evaluation value to obtain an allowable deviation cardiopulmonary compression quality evaluation value; analyzing according to the cardiopulmonary compression data to obtain a cardiopulmonary compression quality evaluation value, and appointing training content according to the cardiopulmonary compression quality evaluation value.

The invention discloses a multi-source data fusion transformer substation digital twinning model construction method and system, and belongs to the technical field of intelligent power grid digital twinning, and the method comprises the steps: carrying out the multi-source data collection to obtain the related data of a transformer substation, and constructing a three-dimensional entity model; deploying a multi-physical field monitoring device, constructing a real-time data acquisition network, and dynamically fusing multi-source data and a three-dimensional entity model; performing feature extraction and weighted fusion on the dynamically fused multi-source data; a multi-physics field coupling analysis model is constructed based on a deep learning network, and dynamic simulation and visualization of multiple physics fields are realized by using fusion feature data; system function modularization is achieved through a micro-service architecture, real-time updating, cross-platform deployment and multi-user interaction of a multi-physics coupling analysis model are supported, and a transformer substation digital twinborn model is obtained. According to the method, data of multiple physical quantities can be fused, multi-physical field coupling analysis is carried out, the overall layout and actual errors are optimized, and the precision and accuracy of the model are improved.

The invention discloses a lane remote management system. The lane remote management system comprises a remote seat end and at least one lane equipment end, wherein a streaming media channel and a visual intercom channel are established between the remote seat end and the at least one lane equipment end; wherein the remote seat end determines a target lane equipment end through a streaming media list, and the target lane equipment end visually maps a service data stream to a streaming media window of the remote seat end through a streaming media channel; the remote seat end maps the collected remote video data and remote audio data to the target lane equipment end based on the visual intercom channel, and the target lane equipment end maps the collected lane video data and lane audio data to the remote seat end based on the visual intercom channel. By means of the system, efficient and reliable lane remote management can be achieved, communication between the remote seat end and the lane equipment end is more visual and convenient, and the efficiency and quality of lane management can be improved.

The invention discloses a visual management system and platform for a heating surface of a power plant boiler based on a three-dimensional model, relates to the technical field of management of the heating surface of the power plant boiler, and aims to solve the problem of inaccurate acquisition and construction of three-dimensional data of the heating surface of the power plant boiler. Channel congestion and resource waste are effectively avoided, through a multi-channel selection mechanism, even if a certain channel breaks down or performance is reduced, other available channels can be rapidly switched to, continuity and stability of data transmission are guaranteed, sensor positions are marked in a boiler visualization model, monitoring data values are displayed in real time, and the accuracy of data transmission is improved. The real-time monitoring of the operation state of the boiler is realized, the monitoring data in the parameter model is mapped and associated to the specific equipment in the equipment model, the visualization of the real-time monitoring data is realized, and the operation state and performance of the boiler can be comprehensively evaluated by performing static and dynamic analysis on the heating surface of the boiler and associating the monitoring data.