857results about "Virtual/augmented reality" patented technology

This invention provides a comprehensive maritime shipbroking platform uniting digital twin modeling, AI-driven cargo allocation, blockchain-based contract management, predictive maintenance (AR / VR), route optimization, real-time tracking, and single-window compliance. The digital twin engine continuously simulates vessel performance, enabling data-driven decisions on stowage, scheduling, and maintenance. A cargo-freight matching module optimally allocates shipments, factoring in market rates, vessel metrics, and port congestion. Blockchain-secured smart contracts automate negotiations, ensuring transparency and tamper-proof enforcement. A predictive maintenance system applies advanced analytics to diagnose technical issues early, while the route optimization engine finds cost-effective, emission-compliant routes. Real-time tracking gives stakeholders constant visibility, and the single-window interface integrates Electronic Bill of Lading processes, satisfying IMO and IG P&I standards. Additionally, a dynamic vessel ranking system incorporates SIRE, RightShip, PSC, and user feedback for safer, more efficient chartering decisions. The invention addresses day-to-day operational challenges in maritime logistics, elevating efficiency and compliance.

The invention discloses a digital twinning-based wastewater and dirty salt treatment process optimization method and system, and relates to the technical field of intelligent wastewater and dirty salt treatment. The method comprises the steps that a digital twinborn model synchronously mapped with a processing system is established, and the digital twinborn model integrates the technological parameter incidence relation of an evaporation section, a crystallization section and a filtering section; collecting component data and flow data of the polluted salt wastewater corresponding to each process section in real time; correcting model characteristic parameters of each process section in the digital twin model based on the component data and the flow data collected in real time; according to the corrected digital twin model and the optimization target, generating a process optimization strategy corresponding to each process section; and monitoring the component data of the treated discharge water, reuse water, industrial salt and solid waste in real time, and if the data does not reach the standard, triggering model parameter correction, optimization strategy iteration or cross-section collaborative logic recalculation. According to the invention, intelligent cooperation of wastewater and dirty salt treatment is realized.

The invention provides a numerical control machining model verification method and system combined with digital twinning, and the method comprises the steps: firstly obtaining a numerical control machining twinning data association set which is correspondingly formed by a physical machining process actual measurement data sequence and a virtual twinning model simulation data sequence according to a machining stage identifier; the actual measurement data sequence and the simulation data sequence both comprise processing action and material response feature sequences, and then carrying out feature space unification processing on the twin data association set to generate a verification feature corresponding set comprising actual measurement comprehensive features and simulation comprehensive features; performing deviation analysis on the verification feature corresponding set by using a pre-trained model deviation analysis model to obtain a feature matching and association influence relationship, and deducing and determining a specific deviation position of the virtual twin model in a processing action and material response modeling link based on an analysis result; and model optimization guidance information for defining the parameter adjustment direction and the structure correction content is generated, so that the precision and the reliability of the virtual twin model are effectively improved.

The invention provides a multi-mode tailing pond dam break digital twinning emergency deduction and decision optimization method, which comprises the following steps of: firstly, constructing a high-precision three-dimensional scene model, performing simulation calculation on the high-precision three-dimensional tailing pond model based on a finite element model to obtain a dam body stress-strain field, and performing simulation calculation on the dam body stress-strain field based on ANSYS + reinforcement learning. And predicting a dam break probability distribution diagram by using the dam body stress-strain field and the current environment state, generating a rescue scheduling scheme based on the dam break probability distribution diagram and the resource distribution data, building a dynamic virtual deduction scene for exercise, and verifying and optimizing the rescue scheduling scheme according to exercise record data. And a final rescue scheduling scheme is obtained. According to the method, the ANSYS + reinforcement learning hybrid engine is utilized to reinforce the deduction precision, dam break path prediction, optimal resource scheduling and plan self-optimization closed loop are realized, the problems of data fusion distortion, deduction stiffness, decision lag and the like in the traditional technology are solved, and the method is particularly suitable for variable working conditions such as tailing pond seepage field sudden change and extreme weather.

The invention belongs to the field of digital delivery, and particularly relates to a digital delivery topology mapping method and system for multi-source real-time data fusion, and the method comprises the steps: obtaining factory building distribution, equipment distribution and operation control logic and preset function block operation logic, and constructing a hierarchical clustering function mapping space through combining an association analysis and clustering algorithm; in response to a target function demand, obtaining a layered response mapping path in combination with a deep search algorithm; layered synchronous response and distributed node anomaly monitoring are realized based on the path, the three-dimensional simulation model and the display system equipment performance and the network state. Tracing abnormities based on a monitoring result in combination with a hidden Markov algorithm and a forward reasoning model, performing iterative verification after conflict resolution until the function is free of abnormities, and updating a mapping space; and adjusting the demand repeating steps to obtain a complete and updated mapping space, and realizing accurate function and picture collaboration under multi-source data fusion.

The invention discloses an intelligent equipment management method and system based on digital twinning. The method comprises the following steps: constructing an initial digital twinning model based on a multi-source data fusion result; monitoring the operation state of the initial model in real time and collecting feedback data; based on difference analysis of feedback data and a fusion result, evaluating a model deviation degree; and iteratively correcting the parameters of the digital twinborn model according to the deviation degree to optimize the precision. The method can solve the problem of how to carry out iterative correction on the model precision according to the multi-source data fusion result so as to solve the problem of overlarge deviation of the digital twinborn model.

The invention discloses an optimization method for spatial distribution of garden plants, which comprises the following steps: generating a high-precision 3D model of a garden terrain by adopting a plant spatial adaptive layout algorithm and utilizing a laser radar or unmanned aerial vehicle technology, generating a weight matrix according to soil types, illumination intensity and drainage characteristics, and applying a dynamic weight Voronoi algorithm in the terrain model to optimize the spatial distribution of the garden plants. The method comprises the following steps: generating a planting range of each plant, establishing a root distribution model by using an underground imaging technology, simulating distribution dynamic of moisture and nutrients among root systems in combination with underground hydrological data, collecting sensor data in real time by using a wireless network, designing a dynamic irrigation scheme, and optimizing the planting density and irrigation range of the plants. Data such as terrain and climate are integrated into a virtual garden, the virtual garden is ensured to be consistent with an actual state through interaction of a sensor and a digital twinborn model, plant growth, ecological benefit changes and disaster risks are predicted by using the digital model, and a user is allowed to modify and optimize the garden layout in real time through a visual interface.

Techniques for determining a response of a simulated vehicle to a simulated object in a simulation are discussed herein. Log data captured by a physical vehicle in an environment can be received. Object data representing an object in the log data can be used to instantiate a simulated object in a simulation to determine a response of a simulated vehicle to the simulated object. Additionally, one or more trajectory segments in a trajectory library representing the log data can be determined and instantiated as a trajectory of the simulated object in order to increase the accuracy and realism of the simulation.

The invention provides an intelligent actual measurement and quantity management method and system for a building. The method comprises the following steps: capturing environmental parameters, material circulation paths and spatial geometric information of key parts of a building in a construction process in real time to obtain a measurement data set; a distributed ledger technology is combined with a homomorphic encryption algorithm, a graph theory analysis technology is applied to evaluate a dependency relationship among operation points of a construction site, and a data log is generated; according to the data log, using an augmented reality technology to superpose a BIM model, introducing a support vector machine algorithm to carry out automatic classification and risk assessment processing on deviation data between measured data and preset standard data, and generating a rectification suggestion report; and a closed-loop quality management process is formed by continuously collecting rectification effect feedback. According to the technical scheme, high transparency and efficient quality control in the construction process are ensured.

The invention discloses an intelligent construction method, system, equipment and medium based on a digital twin tunnel, and aims to construct a high-precision physical entity model by fusing dynamic and static data in real time through multiple types of sensors so as to improve data acquisition comprehensiveness; based on tunnel-level, soil-level and ground building-level multi-level modeling and finite element analysis, fine mechanical stability simulation is realized; multi-dimensional data features are extracted by combining a convolutional neural network algorithm, security risks are evaluated, and a reinforcement scheme is optimized through dynamic iteration; a closed-loop regulation and control mechanism of data monitoring, numerical simulation and dynamic feedback is formed by utilizing a collaborative architecture of a sensing layer, a simulation layer and a display layer, so that environmental disturbance is effectively reduced, and construction safety is guaranteed; according to the method, digital twinning, BIM, finite element analysis and deep learning are fused, real-time monitoring and intelligent optimization of the whole construction process are achieved, efficiency and safety are remarkably improved, and influences on the surrounding environment are reduced.

The invention discloses a comprehensive transportation junction emergency scene simulation deduction system based on digital twinning, which relates to the technical field of digital simulation and comprises a data processing unit, a simulation deduction unit and a visual display unit, the data processing unit is used for acquiring emergency scene basic data of the target digital twin comprehensive transportation hub, performing multi-source integration on the basic data and constructing a model data environment; the simulation deduction unit calls a simulation deduction algorithm to construct a simulation deduction algorithm model according to the emergency scene model data, and carries out emergency situation deduction and scheduling processing based on the simulation deduction algorithm model; and the visual display unit is used for carrying out distribution management on user permissions, carrying out deduction data plotting based on GIS map basic information, and carrying out query and visual display on the deduction data according to a query instruction of a user. According to the method, a digital twinborn platform is built based on a simulation deduction algorithm model and dynamic data, so that the deduction process is more accurate, and visual display is realized in combination with GIS map data.

The invention provides a park energy monitoring method and system based on the Internet of Things, and relates to the technical field of energy monitoring of the Internet of Things technology, and the system comprises a path planning module, a VR / AR interface module, a visual image module, an emotion calculation module, and a block chain module. The monitoring method comprises the steps of energy distribution path planning, VR / AR interaction monitoring, visual image auxiliary analysis, emotion calculation optimization distribution, block chain guarantee data security and the like, the problems of distribution, monitoring, analysis, distribution, data security and the like in park energy management are effectively solved, and the park energy management intelligent level and the energy utilization efficiency are improved.

The invention discloses a ship management method and system based on digital twinborn scene construction. The method comprises the following steps: acquiring multi-source scene data of a target water area in real time, and constructing a corresponding ship management digital twin model; performing integrity evaluation on the constructed digital twinborn model, and performing defect compensation according to an evaluation result to obtain an optimized digital twinborn model; further collecting ship density and weather condition data of each sub-region of the target water area, constructing a network transmission delay prediction model, analyzing related data based on the model, and generating a network delay coefficient distribution diagram of the target water area; and according to the delay distribution diagram, determining the real-time updating lag amount of each subunit of the optimization model, and correcting the ship position information in the digital twin model. According to the method, the real-time performance and accuracy of the digital twin model can be remarkably improved, and the ship operation management efficiency and safety in a complex water area environment are enhanced.

The invention discloses a model construction method and system based on indoor decoration interactive design, and relates to the technical field of intelligent design, and the method comprises the steps: generating a diversified design sketch through an AI generation tool, collecting customer feedback data, determining customer demands, and generating a basic design scheme; creating an interactive ecology home 3D model by using a parameterized design tool, and adjusting a basic design scheme according to customer requirements; based on the adjusted basic design scheme, optimizing visual requirements of the basic design scheme through a V-Ray rendering engine; based on visual requirements, acoustic simulation software and a sensor are utilized to analyze spatial acoustic performance, ecological integration is completed, and intelligent control and AR interaction of an ecological environment are performed in combination with IoT and a user interface. According to the method, the interactive ecology home 3D model is combined with the AI generation tool, the parametric design, the V-Ray rendering engine, the biological feedback technology, the acoustic simulation software and the IoT and AR application, so that an efficient, flexible and personalized design process is realized.

The invention discloses a failure restoration retreatment decision-making method based on dynamic occlusion analysis, and the method comprises the steps: constructing a four-dimensional virtual biomechanical model which comprises a patient anatomical structure and a dynamic function through multi-modal data fusion, and enabling the model to be embedded into a real three-dimensional mandibular movement track of a patient to simulate functional movement, thereby breaking through a static analysis blind area, and achieving the real three-dimensional mandibular movement of the patient. The missed diagnosis rate of dynamic interference is reduced; based on quantitative indexes and thresholds such as occlusal contact displacement, occlusal contact distribution symmetry and adjustment quantity of the maximum tooth tip staggering position and the median relation position, experience judgment of doctors is replaced, objectivity, repeatability and accuracy of failure repair and retreatment decision are improved, and excessive or insufficient adjustment is avoided; the treatment effect rehearsal is realized through virtual presetting, the irreversible operation risk is avoided, and the number of times of re-visit and the trial and error cost of a patient are reduced; and meanwhile, the four-dimensional virtual model can be connected with transition and design and manufacturing of a final restoration, so that the accuracy, safety and efficiency of retreatment of a failed restoration are improved.

The invention provides an intelligent decision-making method based on multi-dimensional risk coupling modeling of new energy ships and related equipment. The method comprises the following steps: fusing multi-modal data of each new energy ship to obtain a target multi-modal feature vector; mining risk implicit association strength by using a large language model, and constructing a risk knowledge graph; performing risk time sequence evolution prediction by adopting a dynamic Bayesian network based on the atlas to obtain a single-ship risk prediction result; constructing a graph structure according to the single ship risk and the operation parameters, and carrying out space coupling modeling by adopting a graph convolutional network to obtain a cluster risk prediction result; and generating an optimal operation and maintenance strategy by adopting reinforcement learning based on a cluster risk prediction result and a reward function by taking a high-fidelity digital twinborn body as a virtual environment. Therefore, according to the method, the problem of closed-loop adaptive control from risk deduction to decision response in a complex navigation scene is effectively solved by constructing a unified modeling mechanism of multi-dimensional risk coupling and linking real-time control strategy generation.

The invention provides an electric energy meter PCB function test method and device, a medium and equipment, and the method comprises the steps: obtaining a multi-channel signal source, automatically adjusting the characteristics of an input signal based on a feedback signal of an electric energy meter through a self-adaptive algorithm, and determining the consistency of the working characteristics of the input signal and the working characteristics of the electric energy meter; a virtual power grid environment simulation model is constructed, through integrated power simulation software and dynamic interference simulation, simulation signal source automatic adjustment signal characteristics are input into the virtual power grid environment simulation model based on the integrated power simulation software to synthesize a composite signal, and load fluctuation of an electric energy meter in actual operation is simulated based on the composite signal. Determining an electric energy meter test data set; according to the invention, the fault mode of the electric energy meter can be automatically identified, the test data can be analyzed in real time, and fault diagnosis and optimization suggestions can be automatically given. The intelligent diagnosis mode is far better than a traditional manual detection method, and the speed and accuracy of fault diagnosis can be remarkably improved.

The invention relates to the technical field of grain depot management, in particular to a grain depot three-dimensional digital management system and method based on digital twinning. The method comprises the following steps: obtaining grain depot structure data and grain depot environment data; performing three-dimensional refined modeling based on the grain depot structure data to obtain a grain depot panoramic digital twinborn scene; adjusting the geographic space accuracy of the panoramic digital twin scene of the grain depot according to the environmental data of the grain depot to obtain a 3D model of the grain depot; grain depot information is collected by using an loT sensor, and the grain depot information is uploaded to the warehouse 3D model for data integration and labeling, so that a data visual interface is established; extracting grain depot storage information of the data visual interface to construct a virtual granary; and performing 3D particle simulation on the virtual granary. Through three-dimensional digital twinborn modeling, IoT data integration, particle simulation and automatic regulation and control, the accuracy and response speed of three-dimensional digital management are improved.

The invention discloses a zero-carbon park planning method and device, a storage medium and a computer program product, and relates to the technical field of carbon emission management, and the method comprises the steps: collecting the original space data of a target park, and obtaining the environment parameters of the target park, constructing a park three-dimensional digital twinborn model according to the original spatial data of the target park and the environmental parameters of the target park; dividing the park three-dimensional digital twinborn model into a plurality of grid units, respectively calculating the photovoltaic theoretical generating capacity of the plurality of grid units, and generating a plurality of candidate zero-carbon park planning schemes according to the photovoltaic theoretical generating capacity; performing economic cost measurement and calculation and carbon efficiency income measurement and calculation on each candidate zero-carbon park planning scheme to obtain an economic carbon efficiency measurement and calculation result; and selecting an optimal zero-carbon park planning scheme from the candidate zero-carbon park planning schemes according to an economic carbon effect measurement result. Zero-carbon park quantitative simulation is carried out in the planning stage, high cost of later modification of the park is avoided, and the economic carbon-efficiency ratio of the zero-carbon park is increased.

Digital model platform that enables the streamlined creation and management of digital twins and physical twins by leveraging external feedback and artificial intelligence (AI) is disclosed. Methods and systems for a model collaboration platform that facilitate the integration of external feedback, whether from physical, virtual, or human sources, into the streamlined design, validation, verification, certification, assembly, operations, and maintenance processes of complex systems. Updated results are output to those external sources, including physical twins, other digital twins or models and simulations, and / or human users. External feedback includes feedback data from physical prototypes and their environment, virtual prototypes, simulations, and subject-matter experts. Embodiments are directed to integrating external feedback into the assembly and system-level assessment of digital twins, physical twins, digital threads, and the iterative design of constituting digital engineering models, including constructing, maintaining, and improving digital engineering models for the design, validation, verification, certification, operations, and maintenance of complex systems.

The invention discloses a building decoration intelligent design method and system based on a user portrait, and relates to the technical field of smart home and artificial intelligence, and the system comprises the following components: user data collection and portrait construction, a biological rhythm analysis model, an intelligent design algorithm, an interactive design platform, and implementation and feedback. Based on biology, psychology and environmental science theories, a biological rhythm analysis model is established, the potential influence of different building decoration elements on the biological rhythm of a user can be predicted and evaluated, through application of an intelligent design algorithm, the system can automatically match and optimize a building decoration design scheme, and the design efficiency is improved. The design scheme is ensured to meet the personalized requirements of the user, and meanwhile, the biological rhythm harmony of the user is promoted to the maximum extent, which is of great significance for improving the physical and psychological health level of the user and improving the quality of the living environment.

The invention discloses an AI confrontation simulation-based intelligent software control system for alarm condition actual combat disposal drilling, and relates to the technical field of police affair intelligent software control, the AI confrontation simulation-based intelligent software control system comprises an alarm condition scene construction module, an AI confrontation simulation module, a drilling monitoring and evaluation module, an intelligent feedback learning module and a data management and storage module, and the alarm condition scene construction is used for generating a vivid scene by combining a GAN with spatio-temporal data; aI confrontation simulation enables intelligent agents to confront by means of deep reinforcement learning and meta learning; the drill monitoring evaluation is fused with the multi-modal data evaluation; intelligent feedback learning provides feedback and learning paths by means of the knowledge graph; data management and storage use a distributed technology to guarantee data security and efficient processing. According to the invention, the scene is vivid, the immersion is enhanced, the ability of people to cope with a complex environment is exercised, the AI confrontation improves the decision strain, scientific evaluation feedback assists people in growth, intelligent learning meets individual demands, data management promotes experience sharing, multi-module cooperation is realized, and the alarm handling drilling effect and the police actual combat level are comprehensively improved.

The invention provides a home overall design method and system based on virtual reality. Wherein indoor environment data are collected in real time in a spatial gridding mode through a distributed temperature and humidity sensor array and a multispectral illumination sensor, and heterogeneous data are fused by using a spatial topology association engine to generate a three-dimensional environment parameter set. And based on the space coordinate weight matrix of the parameter set, driving a micro-electro-mechanical execution unit of the dynamic optical reflection film layer to adjust the surface inclination angle and the refractive index so as to form an optical reflection characteristic distribution diagram. And a three-dimensional light field model dynamically linked with physical illumination distribution is further constructed in the virtual scene, adaptive compensation operation of temperature and humidity parameters is triggered in real time according to physical space illumination intensity changes, characteristic parameters of the reflecting film layer are synchronously and reversely regulated and controlled, and a closed-loop control link is formed. According to the technical scheme provided by the invention, the full-dimensional precise synchronization of the optical characteristics of the material, the temperature and humidity influence and the illumination distribution in the home design scene is realized.

The invention provides a bridge pier nonlinear earthquake random response analysis method based on a BWBN model, and belongs to the field of civil engineering structure random vibration analys.The method comprises the steps that discretization processing is conducted on a concrete bridge pier structure, and a finite element nonlinear analysis numerical model is constructed; constructing a BWBN model by combining linear and nonlinear differential equations, setting a hysteresis parameter value of the BWBN model, simulating by adopting an Euler-Bernoulli beam unit, and establishing a degraded beam finite element model; obtaining a unit hysteresis vector, constructing a system motion balance equation, solving an equivalent linearization coefficient, constructing a covariance matrix of random response of the concrete pier structure, performing random response analysis on the concrete pier structure, and exploring typical working conditions of random excitation. According to the method, the operation time is shortened, the calculation precision is improved, and meanwhile, the response characteristics of the reinforced concrete pier structure under nonlinear earthquake random excitation can be truly represented.

A method for predicting gas explosion. The method includes: obtaining a geometric model with spatial obstacles; determining a simulation dataset of the gas explosion based on the geometric model, where the simulation dataset is a dataset including process data of multiple gas explosion scenes in the geometric model, and a state vector of a spatial grid node in the simulation dataset includes a first moment, coordinate information and a target pressure value; optimizing, using the simulation dataset, a physics-informed GNN to obtain an optimized physics-informed GNN; and predicting the gas explosion in an obstructed gas explosion scenario using the optimized physics-informed GNN. This method is applied to use optimized physics-informed GNN to realize spatiotemporal second-level prediction of overpressure distribution and explosion wave propagations occurring in the obstructed gas explosion scenario, enhance the accuracy, the reliability and the efficiency of gas explosion prediction in the obstructed gas explosion scenario.

The invention discloses a computer network experiment environment dynamic construction method based on virtual simulation, which belongs to the field of computer network experiment teaching and virtual simulation technology application, and comprises the following steps: analyzing experiment scene description to generate a modular construction instruction; creating and initializing a virtual machine instance and a basic network; generating a required virtual network device and constructing a corresponding virtual connection; configuration parameters, service scripts and security policies are comprehensively applied to the virtual machine and the network equipment; and integrally outputting the experimental environment to a user interaction interface. According to the method, the demand-driven instruction arrangement, virtual resource pooling scheduling and multi-layer automatic configuration technologies are adopted, so that a diversified and deeply interactive virtual computer network experiment environment can be quickly and flexibly constructed according to specific experiment demands of a user; and the resource utilization rate, the scene construction efficiency and the flexibility of the teaching mode of network experiment teaching are obviously improved.

The invention relates to a traffic engineering BIM (Building Information Modeling) and VR (Virtual Reality) technology combined interactive design and simulation system, which relates to the field of traffic engineering and comprises an interactive configuration module used for selecting simulation configuration to obtain user feedback information; the route mining module is used for performing networking frequent mining to obtain a mobile route case set; the virtual driving module is used for starting simulated driving and obtaining a three-dimensional dynamic time sequence diagram of a vehicle and heart rate monitoring time sequence information of a user; the safety scoring module is used for receiving a user driving safety score through the user side; the risk evaluation module is used for obtaining a driving risk evaluation value set; and the safety identification module is used for performing safety identification and then sending the information to the traffic engineering design end. Through combination of BIM and VR technologies, virtual simulation acquisition and analysis of user driving behaviors are realized, so that the driving risk of a design scheme is evaluated in a targeted manner, traffic engineering optimization design is guided, and the safety of traffic engineering design is improved.

The invention discloses an intelligent closestool virtual-real synchronous quality prediction system based on a digital twinning system, and relates to the technical field of digital twinning, and the system comprises a data collection module which is used for collecting quality detection data of an intelligent closestool on a physical production line in real time, and the data at least comprises water pressure related data, temperature data and circuit performance data; the digital twinborn model module constructs an intelligent closestool digital twinborn model with a dynamic error compensation mechanism, compares collected actual quality detection data with simulation data in the model to calculate an error, calculates a fraction and a threshold value according to a preset weight, and automatically corrects the simulation error of a virtual model when a comprehensive error exceeds the threshold value; and the quality prediction module is used for realizing prediction of the quality of the intelligent closestool by adopting a fusion deep learning and physical modeling technology and combining data output by the data processing and analysis module. According to the method, the digital twin model is used for accurate comparison and error correction, and the quality problem in the production process can be found in time.

The invention discloses a Chinese style garden programmed generation method and system, and the method comprises the steps: firstly, carrying out the land and water terrain division according to the land and water distribution data drawn by a user, generating a terrain mask graph, and providing a basis for the subsequent layout; secondly, in a garden layout generation stage, the system screens an area suitable for building placement from the terrain mask graph, optimizes the building layout by using a WFC algorithm in combination with a 3D texture mapping technology, generates a preliminary layout white-box model conforming to garden rules, and optimizes building orientation and path connectivity; and finally, in a single building generation stage, the system generates a building model comprising a framework and a small component structure according to building parameters input by a user, and decoration details are added to perfect the appearance of the building. According to the method, the basic rules and diversified expression requirements of the Chinese style building are met, the learning cost of the user can be reduced through parameterized adjustment and interaction functions, the creation efficiency is improved, and the digital generation effect and the propagation effect of the Chinese style garden are remarkably improved.

The present disclosure introduces an automated system designed for detecting and rectifying clashes in 3-dimensional (3D) mechanical, electrical, plumbing and fire protection (MEPF) service models. Comprising a computing device, the system receives a 3D model of a building project and various MEPF service models, including but not limited to HVAC, electrical, plumbing and fire protection services. An interconnected remote server, equipped with a non-transitory storage device, retains executable routines, a rule database with MEPF identifiers tied to specific rules and hierarchies, and a construction history database featuring 3D building templates depicting both clashed and resolved MEPF integrations. The central control unit retrieves the 3D models, constructs an AI model influenced by past construction data, and identifies clashes when overlaying the MEPF models on 3D depiction of the building. Post detection, the control unit employs AI-derived strategies to produce clash-free 3D models, which are subsequently displayed on the computing device.