817results about How to "Avoid duplication" patented technology

The invention discloses a block chain-based digital right encryption management method and system, and relates to the technical field of digital right security management. According to the method, a unique identifier is generated for digital asset information through a Hash algorithm, data privacy is ensured by using asymmetric encryption, and asset uniqueness identification and information encryption protection are realized; according to the method, encrypted asset information is subjected to uplink evidence storage through an intelligent contract, node verification is carried out by adopting a consensus algorithm, tampering resistance, authenticity and transparency of the asset information are analyzed, authenticity of digital assets and safety and reliability of storage are guaranteed, legality of ownership transfer is verified through a consensus mechanism when the digital assets are transacted or transferred, and security and reliability of the digital assets are guaranteed. It is ensured that the transaction meets the preset compliance standard, the asset state on the block chain is updated in real time, and the security and compliance of the transaction are improved; the asset ownership history and the transaction path are tracked and recorded through the traceability mechanism of the block chain, and the traceability and transparency of the asset circulation process are realized.

The invention belongs to the technical field of intelligent electric power inspection and multi-agent cooperative control, and provides an electric power multi-agent dynamic cooperative inspection method and system, and the technical scheme is that a path planning scheme is generated by using a reinforcement learning algorithm and a large language model, so that an agent can dynamically adjust an inspection path according to real-time data and task requirements, and the inspection efficiency is improved. Therefore, the minimization of the path and the maximization of the inspection efficiency are realized, and unnecessary travel and resource consumption are reduced. Meanwhile, a dynamic task redistribution mechanism in the system ensures that the intelligent agent can quickly respond and redistribute tasks under the conditions of equipment failure, environment change or task priority adjustment. And real-time communication and data synchronization among the intelligent agents ensure information sharing, so that the system still keeps task continuity and reliability in emergency.

The invention relates to the technical field of space positioning and path planning, in particular to a three-dimensional space positioning and path planning method for an unmanned aerial vehicle tower. The method comprises the following steps of performing accurate longitude and latitude height data acquisition based on a laser range finder to generate accurate longitude and latitude height data; obtaining tower equipment parameters; performing inspection point three-dimensional coordinate calculation according to the tower equipment parameters and the tower three-dimensional coordinate system to generate inspection point three-dimensional coordinate data; cruise point comprehensive constraint range data are obtained according to the unmanned aerial vehicle flight association data and the polling area terrain data, and cruise point comprehensive constraint range data are generated; performing cruise node three-dimensional coordinate design on the three-dimensional coordinate data of the inspection point according to the cruise point comprehensive constraint range data to generate cruise point three-dimensional coordinate data; and performing optimized cruise path planning processing according to the cruise point three-dimensional coordinate data to generate optimized cruise path data. According to the invention, more accurate unmanned aerial vehicle tower space positioning and path planning are realized.

The invention relates to the technical field of medicine information management, in particular to a traceability method and system based on a medicine consumable traceability code. The method comprises the following steps: acquiring medicine purchasing information data; generating a unique code for the number of medicine purchasing information so as to generate a medicine warehousing traceability code; performing drug information association on the drug purchase information data according to the drug warehousing traceability code to generate a drug warehousing associated traceability code; storing the medicine warehousing associated traceability code in an information base to generate a medicine warehousing traceability code information base; performing scanning access mode division on the medicine warehousing traceability code, and generating a medicine dispensing scanning request mode and a medicine returning scanning request mode; and performing drug splitting tracing on the drug warehousing tracing code in a drug dispensing scanning request mode to generate drug splitting tracing data. According to the invention, through full-process closed-loop management, data association enhancement, intelligent scheduling optimization and drug return tracing improvement, the efficiency and precision of the drug consumable traceability code tracing method are improved.

The invention provides a multi-course fusion knowledge graph construction and real question analysis method and system. The method comprises the following steps: carrying out knowledge point alignment operation, carrying out integration operation on cross-course knowledge points, carrying out quantitative analysis on the knowledge points by utilizing a cosine similarity calculation method, and identifying and aligning synonymous knowledge points in different courses; performing knowledge point disambiguation operation, and processing the situation that the knowledge points have the same name and different meanings to obtain integrated knowledge points and an integrated knowledge graph; performing knowledge point standardization operation on the integrated knowledge points, and performing standardization processing on the integrated knowledge graph to obtain standardized knowledge points and a standardized knowledge graph; converting the normalized knowledge points, extracting to obtain key features, and processing according to the key features to obtain semantic feature sequence vectors; matching to obtain a matching result and applicable knowledge points; and verifying and evaluating the matching result, and mounting the question to the corresponding knowledge point. The technical problems that the knowledge point extraction result is one-sided and the result accuracy is not high are solved.

The invention discloses a code printing quality control method and system of a laser vision code printing machine, relates to the technical field of code printing quality control, and aims to solve the problem that the laser vision code printing machine cannot perform code printing optimization according to a code printing process. According to the method, abnormal identification is carried out on the unqualified quality indexes in the code printing monitoring data, specific problems such as laser parameter abnormity, equipment faults and hardware problems can be accurately identified, the accuracy enables subsequent improvement measures to solve the problems in a more targeted manner, and the accuracy of code printing quality detection is improved by formulating clear code printing quality detection standards and targets. According to the method, the standardization and consistency of quality detection work are ensured, the division standard of quality evaluation is clarified, the quality evaluation result is more objective and accurate, the coding efficiency is improved by designing a reasonable path type, a starting point, an ending point and a path sequence, the accuracy and no intersection or overlapping of a coding path are ensured through the path simulation step, and the coding efficiency is improved. And repeated coding and waste are avoided.

The invention relates to a wafer polishing method and apparatus, a data processing apparatus, a program, and a storage medium. The polishing method comprises the following steps: loading a wafer to be polished; reading in a first polishing formula, and carrying out primary polishing on the wafer according to the first polishing formula; wafer parameters of all the partitions of the wafer are detected, whether the wafer parameters of all the partitions of the wafer reach the standard or not is judged, if yes, the wafer is unloaded, if not, a second polishing formula is obtained through the dynamic adjustment model according to the wafer parameters, and secondary polishing is conducted on the partitions, not reaching the standard, of the wafer based on the second polishing formula. And then returning to detect the wafer parameters of the partitions of the wafer again until the wafer parameters of all the partitions of the wafer are judged to reach the standard, and unloading the polished wafer. According to the method, the reworking function of multi-zone automatic triggering and time-pressure automatic combined adjustment can be achieved in the wafer polishing process, repeated treatment on the whole wafer is avoided, and material consumption and cost are reduced.

The invention discloses an intelligent agricultural weeding track control system, which relates to the field of agricultural related technologies and comprises an identification and positioning module, a track planning module, a navigation optimization module, a collaborative operation module and a man-machine interaction module. The invention further discloses an intelligent agricultural weeding track control method which comprises the steps that the unmanned aerial vehicle or the ground robot cruises above a farmland or on the ground, the depth camera collects farmland image data in real time, the image processing unit conducts denoising, filtering and edge detection processing on the original image data collected by the depth camera, and the weeding track is obtained. The two-dimensional image and the three-dimensional point cloud data are registered, so that the two-dimensional image and the three-dimensional point cloud data are consistent in space, and weeds and crops are distinguished through an image recognition technology. Through the path planning algorithm, the optimal weeding path can be calculated according to the actual terrain, weed distribution and obstacle conditions of the farmland, blind walking and repeated operation of the robot in the operation process are avoided, and therefore the weeding efficiency is greatly improved.

The invention discloses an unmanned aerial vehicle double-unmanned aerial vehicle cooperative intelligent pesticide spraying method for fruit trees, and relates to the technical field of plant protection unmanned aerial vehicles, and the method comprises the steps: deploying a laser radar and a high-precision GPS on an unmanned aerial vehicle, collecting orchard three-dimensional point cloud data, and constructing an orchard three-dimensional point cloud data set; performing data preprocessing on data in the constructed orchard three-dimensional point cloud data set, cleaning the data and performing position correction; an orchard three-dimensional grid model is constructed, orchard areas are divided based on the height of fruit trees, and tasks are allocated to the unmanned aerial vehicle; planning a pesticide spraying path of the unmanned aerial vehicle to execute pesticide spraying operation, and monitoring pesticide sedimentation and spraying effects in real time; the comprehensive score YL of the orchard is obtained according to pesticide spraying data collected in real time, the comprehensive score YL and a preset pesticide spraying evaluation threshold value YZ are compared and analyzed, the current pesticide spraying condition of the orchard is evaluated, and supplementary operation is conducted; pesticide waste caused by height difference of fruit trees is effectively reduced, the coverage rate and uniformity of pesticide spraying are improved, and the working efficiency of the unmanned aerial vehicle is improved.

The invention relates to the technical field of enterprise cloud management, and discloses an ERP enterprise cloud management system, which comprises a system main body deployed based on a cloud computing architecture, the system main body is integrated with a financial management module, an inventory control module, a purchase management module, a sales management module, a production plan module, a human resource management module and a customer relationship management module, and data interaction interfaces and cooperative work mechanisms are arranged among the modules; data are stored by the cloud storage unit, and a data processing task is executed by the cloud operation unit. The ERP enterprise cloud management system breaks data barriers among departments of an enterprise, integrates core modules of financial management, inventory control, purchase management, sales management, production planning, human resource management, customer relationship management and the like, ensures the accuracy and consistency of data, and realizes the cloud management of the enterprise through a data sharing function. All the modules can obtain needed data and information in real time, and seamless transmission and cooperative work of the information are achieved.

The coarse aggregate ultra-high performance concrete premix lifting, transferring and mixing device comprises a control system, an aggregate batching system, an aggregate lifting system, a dry mixing main machine system, a feeding vehicle, a steel fiber feeding system and a stirring system, the whole stirring process is automatically controlled and comprises key steps of automatic metering, automatic raw material feeding, mixing and the like, so that manual operation is remarkably reduced, errors and inconsistency caused by manual metering are avoided, and the accuracy and repeatability of stirring each time are ensured; step-by-step feeding of each part is coordinated through a control system, so that the stirring efficiency and the uniformity of concrete are improved; by establishing a relational expression between a concrete mixture stirring uniformity index and parameters such as the stirring time, the stirring speed, the number of stirring blades, the vibration frequency of the two-stage vibrating screen and the like, key parameters in the stirring process are more accurately controlled, and it is ensured that the stirring uniformity of each batch of concrete reaches a preset standard.

The invention provides a flange short pipe accurate welding device based on detection correction and an operation method, the flange short pipe accurate welding device is used for correcting and welding a flange plate and a short pipe, and the flange short pipe accurate welding device comprises a workbench, a flange plate fastening device, a lifting device, a grinding mechanism, an operation arm and a detection aligner. The workbench is arranged on the horizontal plane and provided with a finished product containing area and a machining area. The finished product placing area is used for placing processed finished products; the flange plate fastening device is arranged in the machining area of the workbench. The lifting device is arranged above the flange plate fastening device; the grinding mechanism comprises a grinding disc and a grinding motor; the grinding disc is connected with an output shaft of the grinding motor; the grinding disc is lifted and rotated through a lifting device and a grinding motor respectively; the operation arm comprises a clamping mechanical arm and a welding mechanical arm which are used for clamping a short pipe and welding the short pipe and a flange plate correspondingly. And the detection aligner is arranged around the flange plate fastening device and is in communication connection with the control system.

The invention discloses an all-terrain photovoltaic power station intelligent weeding robot control system based on shielding real-time monitoring, and relates to the technical field of intelligent planning. Environmental data of a photovoltaic power station are collected, an environmental data set S is constructed and preprocessed, a photovoltaic power station three-dimensional model is constructed, and the three-dimensional model of the photovoltaic power station is constructed according to the three-dimensional model of the photovoltaic power station; using a path planning algorithm to obtain an operation path, collecting operation data of the intelligent weeding robot in real time in the weeding operation process, constructing an operation data set D, and obtaining a path comprehensive score LJ of each grid region according to the operation data set D, and comparing and analyzing the path comprehensive score LJ with a preset first path score threshold LY and a preset second path score threshold LP, evaluating the operation path, and carrying out operation path adjustment on the grid region of which the evaluation result is that the operation path has deviation, so that the instantaneity and the accuracy of the weeding operation are improved, and the weeding operation efficiency is improved.

The invention discloses a method for remotely controlling Android equipment through MQTT messages based on multi-factor identity verification. The method comprises the steps that S1, a two-way multi-factor identity verification system is configured in a remote control server; s2, a client application program supporting an MQTT protocol is deployed on the Android device; s3, issuing a starting or closing instruction of the application program and a modification instruction set by the system through an MQTT protocol; s4, the remote control server starts a multi-factor identity verification system to verify the identity of the user; s5, verifying the identity of the remote control server through a multi-factor verification system; s6, preventing unauthorized access and tampering; s7, the control instruction is decrypted through the MQTT client application program; s8, feeding back an operation result to the remote control server in a message form through an MQTT protocol; and S9, recording the feedback operation result in a server log. According to the invention, by introducing multi-factor identity verification and an MQTT protocol, safe and efficient remote control of the Android device is realized.

The invention discloses an AED intelligent first-aid management system based on the Internet of Things, and relates to the technical field of first-aid management, and the system comprises a data collection and transmission module, a first-aid decision support module, a resource scheduling and cooperation module, and a first-aid training and evaluation module. The first-aid decision support module processes acquired data by using big data analysis and an artificial intelligence algorithm, quickly judges the type and severity of cardiac arrest, generates a personalized first-aid scheme and pushes the personalized first-aid scheme to first-aid personnel equipment, and the resource scheduling and collaboration module tracks AED equipment and personnel information in real time, plans and deploys a path and an attendance route in combination with road conditions, and sends the path to the first-aid personnel equipment. The system is connected with a hospital system to realize efficient cooperation of first aid; through deep fusion of the Internet of Things technology, big data and artificial intelligence, an efficient and intelligent AED first-aid management system is constructed, the first-aid response speed and success rate are remarkably improved, and precious treatment time is won for patients.

The invention discloses a route planning method and device for non-stop inspection of a fan, relates to the technical field of fan inspection, and mainly aims to perform accurate route planning on non-stop inspection of the fan and improve the efficiency and accuracy of non-stop inspection of fan blades. According to the main technical scheme, the method comprises the following steps: determining a shooting course corresponding to a mobile shooting terminal according to a windward angle of a target fan, wherein the windward angle is determined by performing key area identification and line connection on radar point cloud data of the target fan; determining waypoint dwell time according to the rotating speed of the target fan, wherein the rotating speed is determined based on position deviation calculation of adjacent images in the blade image data of the target fan; determining the number of waypoints and the distance between the waypoints according to the shooting range of the mobile shooting terminal and the blade length of the target camera; and deploying shooting waypoints in the shooting course according to the waypoint number, the waypoint spacing and the waypoint staying time to obtain a shooting route of the mobile shooting terminal. The method is used for non-stop routing inspection of the fan.

The invention relates to the technical field of bridge maintenance equipment, and particularly discloses a prefabricated box girder maintenance device which comprises a device body, the device body comprises a plurality of bearing mechanisms and a spraying mechanism, the bearing mechanisms are arranged in an array mode in the length direction of a box girder, and each bearing mechanism comprises a first supporting frame and a second supporting frame; the bearing mechanisms are provided with first driving assemblies, the first driving assemblies are used for driving the multiple bearing mechanisms to move in the length direction of the box girder, the multiple bearing mechanisms are arranged at equal intervals, the bearing mechanisms have the folded state and the unfolded state, the multiple spraying mechanisms are arranged, and each spraying mechanism comprises a water pipe and a second driving assembly. A plurality of nozzles are arranged on the water pipe, and the second driving assembly is used for driving the water pipe to rotate around the axis of the water pipe so as to increase the spraying area of the nozzles; the device body can adapt to maintenance of box girders with different lengths through the unfolding degree of the bearing mechanism, and the maintenance efficiency can be improved.

The invention relates to a multi-robot unknown environment collaborative exploration method based on a dynamic layering and zoning strategy, which comprises the steps that a plurality of robots are distributed in different areas of an unknown environment for collaborative exploration, each robot constructs a local map in real time through an SLAM algorithm, and a global map is constructed based on information sharing among the robots; based on the exploration area in the global map, segmenting the two-dimensional exploration area corresponding to the global map into a plurality of sub-areas through a dynamic layering and partitioning strategy to obtain a layering and partitioning result; wherein the layering and partitioning result is a sub-region set when the two-dimensional exploration region reaches the optimal hierarchy; based on the starting point position of each robot, distributing the layering and partitioning results among the robots, and balancing the task load between any two adjacent robots in the multiple robots to obtain a task unit set of each robot; and a minimum coverage path is planned on the optimal level based on the task unit set of each robot, and collaborative exploration is carried out based on the minimum coverage path.

The invention relates to the technical field of electric power engineering, in particular to a power transmission line monitoring method based on meteorological disaster early warning, which comprises the steps of risk assessment model establishment, potential risk area division, risk level division, real-time monitoring and remote monitoring and management. The data acquisition center carries out decoding, coding and primary processing on data and regularly checks the working state of a sensor by supporting multiple transmission protocols, and can access monitoring equipment under different communication protocols, so that on one hand, the redundancy and repetition of the equipment can be avoided, and on the other hand, the monitoring efficiency is improved; on the other hand, the building and laying cost of the monitoring system is reduced, comprehensive receiving, efficient transmission, safe storage and accurate analysis of meteorological data are effectively ensured, and a solid technical guarantee is provided for stable operation and efficient management of the real-time monitoring system of the power transmission line.

The invention relates to the technical field of computers, in particular to a hardware topological information processing method and device, equipment and a medium. According to the method, the information type and the node identifier are carried when the query request is received, so that a developer can accurately query the hardware topology information of the specific node, and blind search and repeated work are avoided. Secondly, after the information type is determined to be the topological information type, hardware topological information of the target node is obtained from a database, the database comprises information of different nodes, and the target hardware topological information is determined according to a topological configuration file of the target node, so that the accuracy and pertinence of the information are ensured. Therefore, in the development process, developers of different groups can quickly obtain the detailed hardware topology information of the required nodes through the scheme, the situation that development and debugging are repeatedly carried out due to hardware adjustment is reduced, and the development efficiency and the code reusability are improved.

The invention discloses an accurate data matching analysis method based on machine learning, and relates to the technical field of data matching, and the method comprises the following specific steps: dividing data to be processed into a plurality of sub-data sets, dividing the size of each sub-data set according to the performance index and data characteristic of a computational node, and obtaining a data set; according to the method, the to-be-processed data is divided into a plurality of sub-data sets through a distributed parallel processing technology, the sub-data sets are distributed to a plurality of computing nodes for parallel processing, each computing node can independently process the sub-data set distributed to the computing node, and therefore the parallelism of computing resources is fully utilized, and the computing efficiency is improved. Compared with the prior art, the method has the advantages that the data processing efficiency and speed are remarkably improved, meanwhile, an optimized synchronization mechanism is adopted, coordination work among the computing nodes is ensured, the processing bottleneck caused by waiting or communication delay is avoided, and the overall processing performance is further improved.

The invention relates to the technical field of image processing, and provides a brain network analysis method and system based on adaptive graph collaborative contrast learning. The method comprises the following steps: dividing a brain into a plurality of brain regions, extracting an average time sequence of each brain region, and calculating a Pearson's correlation coefficient between every two brain regions; according to the Pearson's correlation coefficient, selecting edges meeting requirements, and constructing a brain map by taking the brain region as a node; performing learnable attribute augmentation on each brain graph by adopting a graph attribute augmentation device to obtain two attribute augmentation views and an attribute augmentation probability matrix; a graph structure augmentation device is adopted to carry out learnable structure augmentation on each brain graph, and two structure augmentation views and a structure augmentation probability matrix are obtained; training a feature extractor, a graph attribute augmentor, a graph structure augmentor and a classifier by utilizing graph collaborative contrast learning; based on the brain map, a trained feature extractor is adopted to extract brain map features, and then a trained classifier is adopted to carry out brain disease classification on the brain map features.

The invention relates to the field of intelligent traffic management, and discloses an efficient road obstacle clearance rescue worker automatic scheduling method comprising the following steps: (a) deploying at least one message queue to cache rescue related data; (b) storing and querying rescue tasks and resource state data through a distributed database system; (c) collecting data from the rescue vehicle and the accident site in real time, and performing preprocessing; (d) asynchronously processing the collected data through a message queue according to the priority and the task type; (e) dynamically scheduling rescue resources by using a multi-factor decision algorithm; the message queue adopts a Kafka cluster and is configured with at least three partitions and at least two copies so as to ensure that a single server or partition fails. Through combination of a multi-factor decision scheduling algorithm and real-time traffic flow prediction, the system can dynamically adjust the scheduling route of the rescue vehicle, and the rescue vehicle is prevented from entering a congested road section, so that the time for arriving at an accident scene is remarkably shortened, and the overall rescue efficiency is improved.

The invention relates to the technical field of personnel management, and particularly discloses an intelligent management method and system for sports events, and the method comprises the following steps: S1, carrying out the grid division of a target site, collecting the people flow data at grid intersection points, calculating a people flow congestion score, and determining a target score; s2, grouping the target scores, determining a standard score corresponding to a single target score in a group, and determining a contour line of the standard score; determining target routes according to the similarity between the initial route and the isoline, and sorting the target routes; and S3, starting from the first target route in the sorting, sequentially determining the service points on the target routes. The position of the service point can be adjusted according to the people flow change condition, and the convenience for people to seek help is improved.

The invention discloses a superconducting magnet quenching position judgment method and related equipment, and relates to the technical field of superconducting magnets, and the method comprises the steps: obtaining each critical current of superconducting magnets in a plurality of excitation tools; obtaining the magnetic field intensity distribution of the superconducting magnet in each excitation tool by loading the critical current; any two excitation tools are selected as a first group; obtaining the difference value of the magnetic field intensities of the positions of the superconducting magnets in the first group in the two excitation tools as a first difference value; determining a quenching area of the superconducting magnet according to the critical current difference value and the first difference value; by changing the excitation tool and analyzing the change of the critical current and the magnetic field, the accurate judgment of the quenching position of the superconducting magnet can be quickly realized, and the method has great significance for improving the winding of a superconducting coil and the preparation of a superconducting material.

The invention belongs to the field of safe transmission of video monitoring code streams, and particularly relates to a method for realizing disaster recovery and rapid recovery of national standard superior services by using Redis record cascade and equipment information. A Redis storage management system is constructed to record cascading and equipment information, and when a service is restarted abnormally, link recovery or waiting for registration online is quickly judged according to Redis information. Multi-thread storage is adopted for first retrieval of shared device information, Redis and reported information at this time are compared during second retrieval, a lower level synchronously retrieves resource information from an upper level, a database and Redis are accurately operated according to information content by means of a Kafka component, all the steps work cooperatively, and the efficiency is improved. Disaster recovery and rapid recovery are effectively achieved when existing national standard cascade services face various emergencies such as service faults and network anomalies, the overall performance, the disaster recovery capacity and the data accuracy are improved, and the requirements of a video monitoring system for efficient, stable and reliable operation and accurate resource sharing are met.

The invention relates to the technical field of image recognition, in particular to a fabric warp and weft density detection method and system based on image recognition. The method comprises the following steps: firstly, acquiring a to-be-detected high-density dark-color fabric sample, and flatly fixing the sample on a platform; then, acquiring M high-density dark-color fabric images by using a high-resolution camera; inputting the preprocessed M high-density deep-color fabric images into a trained deep-density fabric intelligent detection model, and obtaining M flaw detection results and M local warp and weft density calculation results; the local warp and weft density calculation result comprises local warp density and local weft density of each image; and according to a specified condition, dividing the first to-be-detected sample into a normal sample and an abnormal sample, performing early warning on the abnormal sample, and calculating a global longitude and latitude density according to the M local longitude and latitude densities of the normal sample. Accurate measurement of the warp and weft density of the fabric is effectively achieved, and the accuracy of warp and weft density detection of the deep-color high-density fabric is greatly improved.

The present invention discloses a method for simulating and predicting the spatial pattern of land for coordinated spatial planning and carbon reduction control, and belongs to the technical field of land space planning. The present invention includes collecting data, preprocessing the collected data, and establishing a basic database for optimizing low-carbon land use; combining energy carbon emissions with spatial mapping technology to calculate the annual land use carbon emissions, and using the GM (1,1) model to predict the land use carbon emission coefficient of the target year; based on Markov and linear programming models, combined with natural development trends and land space planning requirements, predict and optimize the quantitative structure of low-carbon land use; using the PLUS model, simulate and predict the land use pattern under different scenarios; evaluate the carbon reduction benefits of the low-carbon land use optimization method of coordinated spatial planning, and propose multi-scale low-carbon decision-making and optimization suggestions. The method of the present invention not only reduces policy risks and problems in actual implementation, but also provides a more accurate and dynamic carbon emission optimization solution.

The invention discloses a wood structure building information classification coding and data automatic identification mapping system and method, and the method comprises the steps: 1, creating a traditional wood structure building component-level model, and building a traditional wood structure building database; 2, performing overall view projection on the traditional wood structure building component-level model, matching the model with a traditional wood structure building database, and outputting a regulation code so as to screen corresponding data; 3, picking up the split components, performing isolated view projection, performing feature fuzzy matching with the simplified data pool, screening and defining the components, and outputting identification codes; 4, the traditional wood structure building is subjected to space division and tagging, and positioning codes of the components are generated; 5, the code segments are called according to purposes to be combined, and component codes are formed; and 6, integrating component parameters to carry out attribute addition and mapping, and endowing construction codes. The invention relates to the technical field of historic building information management, and can solve the technical problems in traditional wooden structure building information management in the prior art.

The invention relates to a method for generating a WebGPU real-time rendering pipeline, and the method comprises the steps: obtaining a camera visual cone of a to-be-tested 3D object, transmitting the camera visual cone to an octree container object, carrying out the step-by-step traversal and classification discrimination, obtaining a rendering object, and storing the rendering object in a rendering queue; global data and an MVP matrix of each rendering object are obtained and uploaded to a GPU at a time; traversing each rendering object to obtain a corresponding material, determining specific rendering parameters, material names, material state values, texture maps and macro definition values of the rendering objects according to the materials, and uploading the specific rendering parameters to the GPU; judging whether the rendering pipeline is created or not according to the Cache, if the Cache exists, finishing the creation and directly calling the rendering pipeline for rendering, and if the Cache does not exist, creating the rendering pipeline and rendering; according to the method, the technical problems of low rendering efficiency and low resource reuse rate in the prior art are solved.