38 results about "Building simulation" patented technology

The invention discloses a drainage basin intelligent flood control scheduling method and system based on digital twinborn, and relates to the technical field of flood control and disaster mitigation, and the method comprises the steps: collecting static data and dynamic data of a drainage basin, building a hydrological and hydrodynamic coupling model based on the static data and the dynamic data, and forming a drainage basin digital twinborn body; inputting the received numerical weather forecast into the digital twin of the watershed for simulation, generating a plurality of flood routing scenes in a future time period, and calculating a dynamic flood risk probability graph; the method comprises the following steps: constructing a simulation training environment by using historical flood data and a high-precision drainage basin digital twinborn body, carrying out offline training on a scheduling strategy network in the simulation training environment based on a reinforcement learning algorithm, and outputting a scheduling instruction according to a real-time drainage basin state to complete training of the scheduling strategy network. According to the method, the core problem that the traditional method is insufficient in decision timeliness and weak in adaptive capacity in an uncertain environment is effectively solved.

The invention discloses a non-standard goods shelf intelligent design method and system based on a parameterized model, and relates to the technical field of computer aided design, and the method comprises the following steps: collecting parameters, and carrying out abnormal value elimination and dimension unified processing to generate a standardized demand parameter set; defining core structure parameters and establishing a component association rule, and constructing a parameterized basic model through three-dimensional modeling; the storage rack structure is optimized by combining storage mechanics and material mechanics characteristics, stress concentration is reduced, and deformation under rated load is controlled; a simulation environment is built for statics and dynamics simulation, and a simulation test report is output; screening an optimal parameter combination to generate a detailed design scheme; and receiving user feedback, adjusting parameters and material selection in combination with production feasibility and cost budget, and repeating optimization simulation steps to generate a final scheme. Efficient design of the non-standard goods shelf is achieved through parametric modeling and intelligent optimization, the structure is safe and reliable, the material utilization rate is high, and the design quality and efficiency are remarkably improved.

The invention discloses a reinforcement learning-driven public building user energy consumption behavior simulation method, which comprises the following steps of: 1, acquiring basic data, and building a simulation environment model for simulating a mapping relationship between a user energy consumption behavior and building energy consumption as well as an environment comfort degree; 2, defining a state space and an action space of the intelligent agent, selecting a depth deterministic strategy gradient algorithm as a core learning algorithm of the intelligent agent, designing a multi-target comprehensive reward function of the core learning algorithm, and embedding a public building energy consumption control target; step 3, using an intelligent agent to interact with a simulation environment, simulating an energy consumption process of a user, and identifying different scenes according to a preset rule; 4, the intelligent agent iteratively updates network parameters in the core learning algorithm based on the number of samples collected in the interaction process, and after training convergence, a user energy consumption behavior optimization scheme is output.

The invention discloses a passive maintenance-free anti-floating experiment simulation device and an experiment method. The device comprises a foundation pit simulation box; the water injection simulation box is arranged on the outer side of the foundation pit simulation box, and a water injection cavity is formed between the water injection simulation box and the foundation pit simulation box; the bottom of the building simulation box is located on a soil filling layer at the bottom of the foundation pit simulation box, and the foundation pit simulation box and the building simulation box are connected through a pressure sensor; the passive drainage system is arranged in the fill stratum between the foundation pit simulation box and the building simulation box, a closed loop is formed in the foundation pit simulation box, small holes for water permeation are formed in the passive drainage system, the passive drainage system has a drainage gradient, an outlet pipeline is connected to the lowest point of the drainage gradient, and the outlet pipeline is communicated with the building simulation box. The outlet pipeline is connected with an external metering barrel; the water injection system is used for injecting water into the water injection simulation box. According to the method, the passive anti-floating design structure can be verified, the design parameters can be designed, and the anti-floating limit water level can be calculated.

The application discloses a kind of single vehicle control methods based on scene style migration and SAC network cooperation, including steps: S1, using SUMO tool to build simulation platform;S2, construct single vehicle longitudinal control model, SAC network is used to obtain traffic state from simulation platform, then take action control vehicle behavior, after action execution, agent receives the reward value updated agent parameter that simulation platform feedback;S3, define policy network, output the numerical value of acceleration;Define value function network, output layer represents the estimation of state value;S4, through the vehicle control experimental platform built in call SUMO to simulate different weather conditions, and build measurement model;S5, on the basis of single vehicle longitudinal control model build migration learning framework;S6, using migration learning will train convergent single vehicle longitudinal control model to be transplanted to different weather conditions and train.The application can effectively inhibit traffic stop and go wave, ensure traffic safety, reduce fuel consumption.

The application relates to an optimization design method of a polygon-based multi-plane device, comprising the following steps: S1. determining parameters of a polygon-based MPLC device; S2. constructing a topological-mode coupling model to determine a phase compensation amount; S3. generating an initial phase mask according to the phase compensation amount calculated in step S2 and in combination with phase distribution characteristics of a target mode; S4. outputting optimized phase mask parameters based on a genetic optimization algorithm; and S5. simulation verification: building simulation models of different topological structures, inputting the optimized phase mask parameters, simulating a mode evolution process, and analyzing whether a performance threshold value meets a demand. The application solves the problems that a traditional algorithm ignores the influence of a topological structure and the generality of a phase mask is poor, realizes accurate design of different polygon devices, and thus effectively reduces loss and improves shaping effect.

The application relates to the technical field of circuit design, and discloses a signal simulation analysis method and system. The method comprises the following steps: building a simulation structure; acquiring scattering parameters of a main control chip substrate, a PCB board and a storage chip particle substrate respectively according to the built simulation structure; optimizing a second wiring design according to the scattering parameters of the PCB board, optimizing a third wiring design according to the scattering parameters of the storage chip particle substrate, and obtaining an optimized simulation structure; inputting the optimized simulation structure into pre-configured simulation software for signal transmission simulation test, and obtaining eye diagram data; analyzing the signal quality index of corresponding pins based on the eye diagram data, and determining whether the optimized simulation structure meets the preset transmission rate requirement according to the signal quality index; and through the above method, the interconnection link outside the main control chip and the internal wiring structure of the storage chip can be optimized simultaneously.

The invention relates to an interpretable building reconstruction rapid optimization method considering parameter uncertainty. The method comprises the following steps: S1, collecting information and carrying out data processing on original data; s2, building a building simulation model and calibrating weather data; s3, uncertain parameter sensitivity is analyzed, and a simulation model is calibrated; s4, building reconstruction measures are set, and reconstruction multi-objective optimization is carried out; s5, training a rapid prediction model and explaining a black box model decision mechanism; the method is based on an optimization algorithm, a prediction algorithm and a simulation kernel, and aims to solve the technical problems of uncertainty, simulation speed and interpretability in building reconstruction multi-objective optimization.

The application discloses an extreme weather prediction and identification method based on multi-model integration and machine learning coupling, and belongs to the field of climate-adaptive building design and building environment engineering. The technical scheme comprises the following steps: taking the GCM data set of CMIP6 and the RCM data set of CORDEX as original data, combining ERA5 reanalysis data to perform deviation correction and time downscaling processing; constructing a prediction model integrating random forest algorithm and SSP-RCP multi-scenario framework, dividing training set and test set according to time sequence, and realizing multi-scale prediction after standardization and super parameter optimization; constructing an extreme weather identification system based on quantile threshold method, dividing heat wave and cold wave threshold, and quantifying the duration, intensity and severity thereof; and finally generating a high-granularity regional future extreme weather data set for 2024-2034. The application can provide high-precision and high-temporal and spatial resolution meteorological data, provide support for building simulation and climate-adaptive building design, and has good regional adaptability and promotion potential.

The invention provides an architectural space information model strong generalization generation method and system integrating a feature matrix. The system comprises a data extraction module, a design task translation module, a visual reconstruction module and a question and answer interaction module. According to the method and the system, a representation normal form of building space parameters can be constructed in combination with an architect perspective, building geometric parameters are translated into a mathematical matrix, automatic and rapid coding of the parameters is realized, and the understanding ability of a large model for building space is improved; and as a data level front-end technology, the method supports the application of a large model in the aspects of building simulation model automatic construction, building design knowledge questions and answers, building effect picture rendering and the like.

The invention relates to the technical field of circuit design, and discloses a signal simulation analysis method and system. The method comprises the following steps: building a simulation structure; according to the built simulation structure, scattering parameters of the main control chip substrate, the PCB and the storage chip particle substrate are obtained respectively; optimizing the second wiring design according to the scattering parameters of the PCB, and optimizing the third wiring design according to the scattering parameters of the storage chip particle substrate to obtain an optimized simulation structure; inputting the optimized simulation structure into pre-configured simulation software to perform a signal transmission simulation test to obtain eye pattern data; analyzing a signal quality index of the corresponding pin based on the eye pattern data, and determining whether the optimized simulation structure meets a preset transmission rate requirement or not according to the signal quality index; in this way, the external interconnection link of the main control chip and the internal wiring structure of the storage chip can be optimized at the same time.

The invention discloses a remote control joint debugging test method and system based on a new energy station, and relates to the field of remote centralized control, and the method comprises the steps: exporting a channel point table, a protocol and server resources of a centralized control side and a station side according to the equipment and configuration deployed by the new energy station and a centralized control center, and carrying out the remote control joint debugging test in an isolation network; building a simulated real environment through an independent simulation test platform; instruction transmission and data consistency verification are carried out through the simulation test platform, and a multi-dimensional data verification model is introduced to carry out consistency verification on the communication point table of the new energy station and the centralized control center; according to the simulation data, open-loop instruction verification is carried out in a real environment, after the instruction verification is correct, a remote closed-loop test is carried out, and the consistency verification of the actual action and the adjustment effect of the equipment is carried out; according to the real-time data, a risk prediction model is constructed, risk assessment is carried out, and risk real-time visualization is realized through an automatic report generation method. And the reliability of remote control operation is effectively improved.

Embodiments of the present application disclose a kind of based on EnergyPlus's simulation data processing method, device, equipment and medium. Among them, the method comprises: obtaining target simulation configuration file in EnergyPlus and target simulation configuration file corresponding target simulation result file;Determine target static data based on the analysis result of target simulation configuration file;Wherein, target static data includes target object, the attribute of target object and the association between target object;Determine the target running time sequence data of target object based on the analysis result of target simulation result file;According to target static data and the target running time sequence data of target object, determine target data.This technical solution, can be based on the simulation file analysis result of EnergyPlus Construction with static data and object dimension running time sequence data as the architecture target data, to provide direct data support for subsequent use of building field digital platform, help building simulation data fast and convenient application.

The invention provides an endoscope robot and a pose adjusting method thereof, and the method comprises the steps: building simulation connection between a mechanical arm connected with an endoscope and a simulation module under the initial pose of the mechanical arm connected with the endoscope and the initial pose of the simulation module; wherein the simulation module comprises a base and an operating rod, and in the simulation connection state, the position posture of the operating rod and the position posture of the endoscope have a corresponding relation; according to the current pose of the operating rod adjusted by the user, the mechanical arm is controlled to move so as to adjust the position pose of the endoscope. The pose of the endoscope is controlled and adjusted through the operating rod of the simulation module, the adjusting precision is improved, the mechanical arm can accurately adjust the endoscope to the position indicated by the operating rod, the mechanical arm can stably hold the endoscope for a long time, the workload of doctors / nurses is reduced, and the working efficiency is improved. And the endoscope is adjusted through the simulation module, so that the operation space near a patient cannot be occupied, and the operation of a doctor is freer.

The embodiment of the invention relates to the technical field of air film building snow removal, in particular to an air film building snow removal method. The intelligent snow removal system corresponding to the method comprises an air film building simulation system, an intelligent route planning system and an intelligent snow removal control system. According to the air film building simulation system, an unmanned aerial vehicle unit carries scanning equipment to complete establishment of an air film model database, and the snow accumulation state is determined through model comparison. The intelligent route planning system plans a reasonable flight route of the unmanned aerial vehicle by means of the positioning system according to the snow accumulation state and climate conditions. The intelligent snow removal control system comprises an intelligent control terminal and an unmanned aerial vehicle unit carrying a snow removal device, and a scheme matched with the air film state information can be selected from multiple snow removal schemes and implemented. According to the embodiment of the invention, manual high-altitude operation can be replaced by snow removal through the unmanned aerial vehicle, intelligence and automation of snow removal operation of the air film building are realized through intelligent route planning and snow removal strategy optimization, the snow removal efficiency of the air film building is improved, and the high-altitude operation risk is reduced.

The application discloses a micro-grid building simulation training system based on a block chain, and relates to the technical fields of block chain application and power system simulation training. The system comprises a request analysis module, a simulation kernel module, a data encapsulation module and a consensus writing module. The request analysis module analyzes initial configuration parameters of a micro-grid topology structure contained in a simulation training request initiated by a student terminal. The simulation kernel module generates a virtual micro-grid component instance set based on the parameters and calls a discrete event simulation kernel pre-deployed in a block chain smart contract. The data encapsulation module encapsulates electrical attribute parameters of each component instance into a to-be-verified state data block. The consensus writing module performs hash collision verification on the to-be-verified state data block through a block chain consensus node, packs and writes data blocks that pass the verification into a private data channel of a block chain ledger. The step driving module drives the discrete event simulation kernel to step and update running state parameters of each component instance according to the written data blocks and a preset time axis.

Embodiments of the present application disclose a kind of building multi-working condition batch simulation data generation method, equipment and medium. Among them, the method comprises: determining the target configuration file corresponding to target batch simulation task;Wherein, the target configuration file is used to describe at least two target parameter adjustment modes for reference source file;According to the at least two target parameter adjustment modes, the reference source file is adjusted to obtain at least two target source files;Based on target building simulation software, the at least two target source files are run to generate target batch simulation data.This technical solution can quickly adjust the source file based on the configuration file to quickly and conveniently generate building multi-working condition batch simulation data, which can ensure the effective coverage of simulation data for various scenarios, improve the applicability, flexibility and generation efficiency of simulation data.

The building cold load prediction method based on physical simulation and a hybrid neural network of the present application designs a building cold load prediction system, trains the system by combining simulation data obtained through the building cold load prediction system with OpenStudio model simulation, and constructs a basic model.Meanwhile, a model fusion method is designed: GRU and Transformer models are trained in parallel, and the results of the two are fused through an attention mechanism, thereby improving the prediction accuracy.After the project goes online and actual weather and equipment operation data are obtained, actual project data will be used to fine-tune the basic model based on transfer learning until the model accuracy meets the standard and the model is deployed online for application.The traditional method usually uses the prediction model of similar buildings for transfer learning to solve the cold start problem, while the present application is based on actual physical building simulation, training and transfer, ensuring higher accuracy.

The application discloses a kind of earthquake tsunami coupling experimental methods, comprising S1, the earthquake-tsunami coupling disaster event of several examples of the area where the building to be monitored is collected;S2, draw the target curve of ground motion acceleration with time variation;S3, construct PGA-H straight line;S4, based on Copula function, construct PGA-H fitting curve under different recurrence period T;S5, determine the peak ground acceleration PGA to be simulated and the tsunami wave height H to be simulated;S6, the target curve of ground motion acceleration with time variation is adjusted in amplitude, so that its ground motion acceleration peak value is equal to the peak ground acceleration PGA to be simulated;S7, earthquake simulation;S8, the tsunami load of the tsunami wave height H to be simulated is applied to the simulation frame of the building to be monitored.The application can be in situ to the simulation frame of the building to be monitored Apply earthquake and tsunami simulation, simulation precision is high, and cost is low.

The invention discloses an autonomous obstacle avoidance method for a mobile robot. The method comprises the steps that a simulation environment is built, and a state vector is obtained; constructing a deep reinforcement learning network; designing a total reward function; carrying out iterative training and optimization on the deep reinforcement learning network in static and dynamic scenes; and migrating the deep reinforcement learning network to a real mobile robot, and carrying out navigation test experiments in static and dynamic environments. According to the invention, by integrating the security value function and the security action projection module of the asymmetric obstacle Lyapunov function, a'decision-making layer-execution layer 'dual security guarantee mechanism is constructed, so that the output and execution of dangerous actions are completely eradicated from the source, and the security and reliability of the system are remarkably improved. Smooth and low-cost migration from simulation to real objects is achieved, a complete, efficient and practical autonomous obstacle avoidance solution of the mobile robot is formed, and the method has good engineering application value.

The invention discloses an antique city wall integral structure system and a construction method thereof, and relates to the technical field of ancient building repair and antique architecture.The concrete structure of the antique city wall integral structure system comprises a concrete foundation; the embedded parts are arranged in the concrete foundation; the square steel is obliquely arranged on the concrete foundation, the bottom of the square steel is connected with the embedded part, and the top of the square steel is connected with the concrete beam; the wallboards are arranged between the adjacent square steels; the angle steel is horizontally mounted on the square steel and distributed at intervals in the height direction of the square steel; and the multiple layers of antique wall bricks are arranged on the angle steel. The invention further discloses a construction method of the antique city wall overall structure system. The technical problem that in the prior art, a hyperboloid antique wall is difficult to construct is solved.

The application discloses a kind of education experiment synthesis student intelligent agent construction method, system and electronic equipment, it is related to artificial intelligence education simulation field.The method includes: initialization configuration covers the multi-dimensional feature parameter set of cognitive ability, personality characteristics and knowledge state, and builds simulation environment including private reasoning channel;Double closed loop mechanism is introduced in simulation interaction: use in for consistency check closed loop, based on multi-dimensional feature matching or reward model, real-time correction "role deviation" behavior;With state dynamic evolution closed loop, combine positive cognitive gain, forgetting curve and "inherent characteristics-transient state" separation model, real-time update agent knowledge and psychological state;Synchronous generation includes the structured data set of behavior traceability label.The application solves the problem of behavior homogeneity and unexplainable in education simulation, and can generate high reliable and attribution ability scientific research data.

A method for accuracy simulation analysis of a multi-camera rapid surface measurement system effectively solves the problem of accuracy simulation analysis for such systems. It enables the planning, design, and evaluation of the measurement mesh for the system, using the optimal mesh parameters as a reference to guide the on-site construction of the system and ensure accurate measurement of antenna surfaces. The method involves first building simulation analysis software; then, combining the actual on-site measurement environment, the software simulates and analyzes different measurement meshes; next, the rapid surface measurement system is constructed; finally, data is collected and analyzed, and the simulation software is used to perform accuracy simulation analysis of the multi-camera rapid surface measurement system, ensuring accurate measurement. This invention offers low measurement cost, saves manpower and resources, has high measurement speed and accuracy, and has practical application and promotion value.

The method relates to the technical field of building simulation analysis, and particularly relates to a comprehensive evaluation method and apparatus for integrated urban buildings. The method comprises: acquiring building operational status information of each building region in integrated urban buildings to be evaluated; for each building region, performing dimensional partitioning on corresponding building operational status information thereof to obtain a plurality of feature sets of the building region; performing situational analysis on each feature set of the building region to obtain a basic operational feature subset and a dynamic operational feature subset that correspond to the feature set of the building region; and inputting the basic operational feature subset and the dynamic operational feature subset into a building region feature evaluation model to obtain a building region feature evaluation score corresponding to the feature set of the building region. The method can provide comprehensive evaluation of multi-dimensional characteristics of a building, can reflect changes in the operational status and performance of the building in a timely manner, thereby providing a more accurate evaluation result.

A kind of multi-domain simulation tool automation software architecture and method based on SaaS deployment, it is related to simulation design software architecture technical field, the software architecture includes: front-end architecture, back-end architecture and communication interface;The front-end architecture is used to provide interactive interface to user, user sends request to back-end architecture through the interactive interface;The back-end architecture is used to carry out demand analysis after obtaining front-end request, creates simulation calculation task according to analysis result, and processes the simulation calculation task;The communication interface is used to mutual transmission front and back end information, uses REST form, and communicates with JSON data format by HTTP request.This application supports simulation model zero code integration, non-professional simulation personnel do not need to learn professional simulation software operation, can quickly build simulation scene only by front-end business parameter configuration, greatly expands the application coverage of simulation technology in enterprise.

This application relates to the field of vehicle cleaning technology, and in particular to a method, device, vehicle, medium, and program product for assessing waterway risks in a luggage compartment. The method includes: determining the simulated nozzle parameters of a water gun nozzle based on a pre-built simulation model; cleaning a target simulated vehicle based on the simulated nozzle parameters to obtain corresponding simulated waterway dripping results; if the simulated waterway dripping results do not meet preset dripping conditions, generating corresponding optimization measures until the preset dripping conditions are met, and determining the actual waterway dripping results in the luggage compartment of the target vehicle based on the optimization measures. This solves the problems in related technologies where the lack of simulation methods makes it difficult to accurately reproduce the dynamic distribution of water flow on the vehicle body under complex car wash conditions, and also makes it impossible to identify risks such as water accumulation areas and water droplet trajectories in advance, and even more difficult to provide high-precision data to support waterproof structure optimization and avoid related hidden dangers from the source.

The invention discloses a shield thick slurry simulation device and method, and relates to the technical field of engineering building simulation experiments.The shield thick slurry simulation device simulates the arc-shaped contour of a shield tunneling machine through a main body structure, and thick slurry injection positions corresponding to a front shield, a middle shield and a rear shield of the shield tunneling machine are accurately simulated through multiple sets of injection hole sites of an injection hole site component; wherein the visual structure simulates a gap between the outer side of a shield body and an excavated soil layer interface, a tester can clearly observe key data such as diffusion form, speed and the like in real time through an acrylic transparent plate after shield thick slurry is mixed and injected, and a visual and effective observation way is provided for researching a thick slurry diffusion rule; by arranging the adjusting structure, multi-angle simulation of the main body structure can be achieved, and shield thick slurry injection conditions at different point positions can be simulated. The shield thick slurry simulation device can accurately simulate thick slurry injection scenes of different construction angles, different parts of a shield tunneling machine and different circumferential positions, and clearly presents a slurry diffusion form by means of a visual observation means.

The invention relates to the technical field of low-carbon fabricated building simulation design, in particular to a low-carbon fabricated building simulation design method and system based on a three-dimensional model, and the method comprises the steps: constructing a three-dimensional BIM model of a fabricated building, and carrying out the real-time simulation to obtain the performance data of each assembly node under each dimension in a preset simulation period; obtaining a performance controllable evaluation value of each assembly node; the comprehensive performance score and the performance reliability index of each assembly node are obtained; obtaining a performance variation range and a failure probability of each assembly node under a random working condition; and updating the performance prediction value of each assembly node to realize the low-carbon assembly type building simulation design based on the three-dimensional model. According to the method, the sampling convergence efficiency can be greatly improved on the premise of ensuring the simulation precision, so that the refined performance evaluation and low-carbon optimization design of the assembly node are realized.

The utility model discloses a model platform for building engineering model design, and relates to the technical field of model design, the model platform comprises a lifting type sand table placing platform, the lifting type sand table placing platform comprises an outer fixed table, the outer side wall of the outer fixed table is fixedly connected with an outer side circular rail; two fixed boxes are slidably connected to the interior of the outer side circular rail in a limiting mode, movable joints are fixedly connected to the upper side walls of the fixed boxes, rotating discs are rotatably connected to the tops of the movable joints, plastic rods are rotatably connected to the tops of the rotating discs, and pull ropes are connected to the outer side walls of the plastic rods in a sleeving mode. According to the utility model, the vertical horizontal angle between the turntable and the plastic rod can be driven through the movable joint, and the peak height of the plastic rod can be adjusted through the fixed box which is arranged in a sliding manner, so that the position of the simulation lamp relative to the sand table can be adjusted, the omnibearing adjustment of the position of the simulation lamp can be realized, and the simulation lamp can simulate the illumination intensity at different time periods by adjusting the brightness. And the authenticity and reference of engineering building simulated sunlight are effectively improved.

The application discloses a kind of navigation point dynamic replacement methods based on personnel facility selection preference in the field of human flow simulation, comprising the following steps, import building drawing, construct building simulation model, mark facility in building simulation model and set virtual facility at mark, construct several virtual personnel, define a satisfaction degree and navigation selection parameter for each virtual facility.Satisfaction degree is used to simulate the demand degree of personnel to facility, and navigation selection parameter can affect the navigation probability of virtual personnel to specific virtual facility subsequently, and the selection probability of facility navigation is calculated by utility function.The technical scheme of the application enables virtual personnel to select and navigate facilities based on the influence of each virtual facility.