1062 results about "Dimensional simulation" patented technology

The invention relates to a lithium battery energy storage system fire-fighting ventilation and explosion venting safety assessment method based on multi-dimensional simulation. The method comprises the following steps: constructing an energy storage system digital twinborn model fusing structure parameters, material attributes and environmental parameters; generating a multi-mode failure scene set covering multiple temperature domains and aging states through mode recognition; simulating and quantifying dynamic interaction of a temperature field, a flow field and a stress field in the thermal runaway evolution process based on thermal-fluid-solid multi-physics field coupling; constructing a space-time associated dynamic safety evaluation matrix, and combining fuzzy comprehensive evaluation and Monte Carlo sampling to generate risk quantitative indexes; and iteratively correcting parameters of the fire-fighting ventilation and explosion venting system through a multi-objective optimization algorithm to form a graded safety assessment conclusion. According to the method, the technical bottlenecks of environmental parameter splitting and single failure scene in a traditional method are broken through, the thermal runaway suppression efficiency is improved, the combustible gas concentration control error is reduced, and collaborative optimization of explosion venting pressure fluctuation suppression and ventilation response is realized through a closed-loop evaluation mechanism.

The invention relates to the technical field of material physicochemical property monitoring of a multi-source sensing network, in particular to a multi-source sensing storage environment collaborative monitoring and early warning method, which comprises the following steps of: dividing grid units according to material storage types, binding sensor node coordinates, constructing a grid region reference model, and constructing a grid region reference model; integrating the volatilization characteristic parameters analyzed by the laboratory, historical monitoring data and an environment threshold value to generate a substance and environment relation matrix; the method comprises the following steps of: calling model parameters to invert a theoretical gas concentration value, and triggering finite element physical field simulation through residual analysis to generate a three-dimensional simulation field data set containing a temperature gradient and a diffusion path. And the dynamic correlation analysis precision and the early warning reliability of storage environment monitoring are improved.

The invention discloses a dangerous rock falling motion feature prediction method based on multi-source data fusion, and belongs to the technical field of engineering geology. Comprising the steps of collecting dangerous rock multi-source data to construct a basic information base; processing dangerous rock multi-source data based on a CNN algorithm, identifying a dangerous rock contour and calculating geometric features; the dangerous rock multi-source data is processed through multiple algorithms, and the terrain is reconstructed to generate a digital elevation and terrain model; analyzing a vibration signal frequency spectrum, quantifying dangerous rock multi-source data features and determining a fusion weight; fusing the multi-source data of the dangerous rock to construct a three-dimensional real scene model and construct a physical and mechanical model; establishing a historical database, selecting a machine learning algorithm to construct a data driving model, and adopting an optimization algorithm to predict a rockfall movement track and state; and determining a two-dimensional simulation key section, establishing a two-dimensional numerical model, and dynamically simulating and calculating rockfall movement and rock-soil body response. According to the scheme, the defects in the aspects of dangerous rock falling motion feature prediction and protection design in the prior art are overcome, and the prediction accuracy and efficiency are improved.

The invention relates to the technical field of cultural heritage digital protection, in particular to a super-volume historic building three-dimensional simulation modeling method based on multi-source heterogeneous data, and the method comprises the steps: firstly collecting node multi-source heterogeneous data such as laser point cloud, images, structural mechanical parameters and historical repair records, and then carrying out node feature enhancement through a node feature enhancement module; using an improved generative adversarial network to strengthen node edge features, adopting an adaptive threshold segmentation algorithm to extract surface texture features, converting mechanics and size data into a three-dimensional constraint condition parameter matrix, then using a topological relation verification algorithm, using a graph neural network to traverse and verify a component connection relation, and obtaining a three-dimensional confrontation model; and a re-calibration mechanism is triggered when the deviation exceeds the limit, the weight is adjusted based on a Bayesian optimization algorithm, fusion verification is carried out again, finally, hierarchical grid division is adopted to construct high-precision sub-models, and the sub-models are spliced into an integral three-dimensional model, so that the model precision and reliability are improved, and reliable digital support is provided for ancient building protection.

The invention relates to the technical field of data analysis, in particular to a new energy power generation equipment health management platform based on a large model, which comprises a data acquisition and perception layer, an edge computing layer, a cloud processing layer and an application service layer, compared with the prior art that static historical data or single equipment parameters are adopted as a health detection reference, and the influence of environment dynamic change and equipment aging cannot be reflected, the scheme adopts a multi-dimensional simulation modeling technology, equipment parameters, weather parameters and other real-time working condition data are integrated to construct a digital twinborn model, and the digital twinborn model can be used for real-time health detection. Dynamic health reference values including generating capacity, instantaneous current / voltage, equipment temperature and the like are generated by simulating equipment operation states (such as photovoltaic efficiency attenuation at an extreme temperature and aerodynamic load of a fan in a salt mist environment) in different scenes. The method can accurately capture the interaction effect of the environment and the equipment, enables the health detection threshold to be dynamically adjusted along with the working condition, and improves the anomaly recognition accuracy by more than 35% compared with a traditional method.

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 relates to the technical field of engineering construction management and control, in particular to an engineering construction management and control method and system based on digital twinning. The method comprises the following steps: acquiring real-time construction engineering data and regional environment data, identifying a real-time structured construction state and generating a three-dimensional simulation model, then acquiring a target construction engineering plan and performing process node positioning to calculate a real-time engineering progress deviation, performing compensation simulation based on the deviation, and determining an engineering construction development trend. And then environment constraint mapping and resource conflict analysis are performed to generate corresponding data, and an optimized construction path conforming to environment constraint and resource conditions is screened out through construction optimization path mining of the simulation model, so that the construction efficiency and the management level are improved. According to the invention, the competitiveness and sustainable development capability of the building industry are enhanced, and an efficient and transparent engineering management system is finally formed.

The invention relates to the technical field of BIM building optimization, in particular to a BIM-based prefabricated building design construction optimization management system and method. The method comprises the following steps: acquiring a panoramic monitoring image of a building area and a construction design initial BIM model; carrying out regional space structure evolution and construction scene three-dimensional simulation on the panoramic monitoring image of the building region, and constructing a three-dimensional construction scene graph; identifying assembly type building component information according to the construction design initial BIM model so as to generate building component assembly demand characteristics; performing dynamic construction sequence simulation optimization on the three-dimensional construction scene graph and the construction design initial BIM model based on building component assembly demand characteristics, and constructing a dynamic optimization construction sequence; and carrying out available material transportation path analysis on the three-dimensional construction scene graph so as to generate an optimal operation path of each material. According to the invention, real-time collaborative management based on the BIM and the cloud is realized, the building construction quality is improved, and the construction design decision is optimized.

The invention relates to the technical field of industrial image recognition, in particular to an automatic visual inspection system applied to charging pile production. The method comprises the following steps: the image enhancement module is used for acquiring an omnibearing production monitoring image; carrying out image detail convolution enhancement on the omnibearing production monitoring image, and carrying out topological structure fitting to generate a component topological structure diagram; the twinborn model module is used for performing production process action recognition on the assembly topological structure diagram based on the omnibearing production monitoring image, performing three-dimensional simulation modeling and constructing a dynamic production twinborn model; and the deviation identification module is used for identifying the position deviation of the dynamic production twin model assembly according to a preset production planning log, then carrying out reference positioning deviation calculation, and generating assembly position deviation parameters. According to the invention, efficient and accurate charging pile production diagnosis detection is realized, so that the production process of the charging pile is optimized.

The invention relates to the technical field of glass container structure optimization, in particular to a lightweight glass container structure optimization design method based on a three-dimensional simulation model. The method comprises the following steps: constructing a continuous curved surface model of the glass container; constructing a glass container geometric variant library based on the continuous curved surface model of the glass container; performing multi-working-condition simulation on the glass container geometric variant library, and performing stress distribution feature extraction to obtain a container stress distribution feature set; constructing a container forming process constraint set; and performing NURBS control point identification on the glass container according to the container forming process constraint set to obtain a constraint container NURBS control point set. On the premise of ensuring the mechanical property and manufacturing feasibility of the glass container, the lightweight design can be realized to the greatest extent.

The invention relates to the technical field of mechanical engineering, in particular to a three-dimensional simulation design method and system based on an elevator structure. The method comprises the following steps that an elevator structure drawing is obtained; a three-dimensional elevator assembly is constructed according to the elevator structure drawing; lift car static load simulation is conducted according to the three-dimensional elevator assembly, and lift car static load data are obtained; detecting the structural strength of the lift car based on the lift car static load data; evaluating welding defects based on the structural strength of the lift car, and generating welding defect data; identifying a weld weak area according to the welding defect data; determining the abrasion loss of the car structure based on the weld weak area; according to the lift car structure abrasion loss, the lift car bottom plate fracture risk is predicted; carrying out welding optimization design based on the fracture risk of the bottom plate of the lift car to obtain welding optimization design data; and traction and traction simulation is conducted according to the three-dimensional elevator assembly, and traction and traction data are obtained. Based on the mechanical engineering technology, the safety and stability of the elevator structure are improved, and the design precision and efficiency are remarkably improved.

The invention provides a power grid water and soil conservation method and system based on three-dimensional simulation, and relates to the technical field of power grid water and soil, and the method comprises the steps: building a power grid project three-dimensional scene model based on terrain, soil, vegetation and hydro meteorological data, and simulating water and soil loss risk distribution. Then, a water and soil conservation facility layout scheme including intercepting and draining ditches, a grit chamber, a vegetation recovery zone, a retaining wall and the like is established; a multi-objective optimization algorithm is adopted, the minimum construction cost and the optimal water and soil conservation effect are taken as objectives, the position, specification and number of facilities are optimized, and a plurality of candidate schemes are obtained. And finally, simulating water and soil loss processes under different rainfall working conditions based on computational fluid mechanics, selecting a scheme with the highest comprehensive score as a final optimization scheme in combination with a fuzzy comprehensive evaluation method, and outputting a three-dimensional construction layout diagram and a technical parameter list. The water and soil loss risk in power grid engineering construction and operation can be effectively reduced, the engineering cost is saved, and the water and soil conservation effect is improved.

The invention relates to a bridge rotation balance pressure monitoring system and a jacking adjustment method, and belongs to the technical field of bridge rotation. Comprising a bridge sensor, a GNSS receiver, a wireless data acquisition module and a BIM bridge three-dimensional simulation module, the monitoring equipment is provided with a base station and four monitoring stations, the base station is arranged on the top surface of an erected beam section, and the four monitoring stations are arranged at the middle points of the top surfaces of two swivel bridges and the end points away from the base station respectively. The GNSS receiver is used for acquiring real-time measurement point coordinates of a bridge and transmitting the coordinates to the wireless data acquisition system, the monitoring devices upload respective coordinate information to the processing module in real time, and the processing module processes the received data and then transmits the data to the BIM bridge three-dimensional simulation module to construct a swivel simulation model to monitor and early warn the swivel process in real time. The problem that in the existing swivel construction monitoring process, monitoring errors are prone to occurring, and consequently potential safety hazards occur in swivel construction is solved.

The invention provides a three-dimensional simulation and infection scene decision optimization system and method based on digital twinning, and relates to the technical field of intelligent medical treatment and digital twinning crossing technologies. The three-dimensional simulation and infection scene decision optimization system and method based on digital twinborn comprises the following modules: a data acquisition module, a path optimization module, a risk analysis module, a disinfection scheduling module and a collaborative prevention and control module, by arranging an air microorganism sampler, ultra-wideband positioning equipment and a temperature and humidity sensor, pathogen concentration, personnel trajectory and environmental parameters are collected in real time. Through a multi-source sensor fusion algorithm and a space-time attention mechanism, weight fusion and noise filtering are carried out on pathogen concentration, personnel tracks and environmental parameters in a hospital environment, the problems of information isolation and noise interference in traditional data collection are solved, and the space-time relevance of multi-modal data is remarkably enhanced.

The invention relates to a simulation prediction method for the plugging life of a contact element of an electric connector, and the method comprises the steps: building a three-dimensional simulation model of a plug end and a socket end of the electric connector, and defining the material attributes and contact relationships of all parts in the three-dimensional simulation model; performing finite element grid discretization on the three-dimensional simulation model; applying a fixed constraint to the socket end, applying a displacement load for simulating the plugging process to the plug end, and performing statics solution to obtain plugging force in the plugging process of the plug end and the socket end and contact pressure data of the plug end contact piece and the socket end contact piece; and mapping a statics solution result into a fatigue analysis module, and simulating, calculating and outputting a life distribution result of the plug end contact element and the socket end contact element under repeated plugging and unplugging loads. The method has the effect of analyzing the stress-strain state of the internal contact element of the electric connector and the fatigue damage of the internal contact element under repeated plugging and unplugging so as to help monitoring personnel to discover the potential mechanical failure problem in time.

The invention discloses a pulsed eddy current detection method and system for a thermal power pipeline with a coating layer, and relates to the technical field of pulsed eddy current nondestructive detection.The pulsed eddy current detection method comprises the steps that pulsed eddy current detection simulation and experiment are conducted under the condition of a three-dimensional simulation model and a test piece, and excitation current waveform, amplitude and frequency parameters are determined; an induced voltage signal is collected, peak values, time points and attenuation characteristics are extracted, the corresponding relation between the wall thickness, the coating layer thickness and the welding seam structure and detection signals is constructed, a parameterized database is constructed, and temperature correction is completed; and optimizing a sensor structure and a signal acquisition scheme according to a parameterized database, obtaining detection data in a pipeline operation state, completing two-dimensional imaging of wall thickness distribution and welding seam positioning, and forming detection information covering a straight pipe, an elbow and a welding seam area. According to the method, wall thickness detection and welding seam positioning of the thermal power pipeline under the conditions of a thick wall and a thick coating layer are achieved through the full-process design of test piece modeling, simulation experiment and imaging collection.

The invention relates to the technical field of phase change heat storage, in particular to a test method of a composite nanoparticle latent heat system based on a Fibonacci fractal tree-shaped fin. The test method comprises the following steps: firstly, establishing a physical model of a nanoparticle three-sleeve vertical latent heat system based on the Fibonacci fractal tree-shaped fin; secondly, performing two-dimensional simulation analysis on the physical model by adopting a two-dimensional model, simulating the melting and solidification process of the PCM, analyzing the heat transfer performance and energy storage efficiency of the system, building an experimental device of a nano-particle three-sleeve vertical latent heat system based on the Fibonacci fractal tree-shaped fins, selecting proper PCM and nano-particles, simulating different working conditions, and establishing a three-sleeve vertical latent heat system based on the nano-particle three-sleeve vertical latent heat system based on the Fibonacci fractal tree-shaped fins. And finally, comparing a simulation result with an experimental result, adjusting parameters of a simulation model, improving the accuracy of the simulation result, analyzing the influence of different fin bifurcation angles, nanoparticle types, wall surface temperatures and fin materials on the heat transfer performance and energy storage efficiency of the system, and providing guidance for optimal design of the system.

The invention discloses an interactive sand table demonstration system based on artificial intelligence, and relates to the technical field of intelligent interactive sand table demonstration. Comprising a multi-mode perception module, a semantic intention recognition module, a three-dimensional simulation module, a decision feedback module and a visualization module. Accurate recognition and semantic analysis of a user instruction are realized by fusing various input modes such as voice, gestures and images; based on a knowledge graph and a deep learning model, user demands can be intelligently understood, and a three-dimensional sand table is driven to carry out dynamic interactive demonstration. The situation adaptation module automatically adjusts the sand table scene according to the environment and the demonstration progress, and the reality sense and immersion sense of demonstration are improved; the decision feedback module generates demonstration results and strategy suggestions in real time, and supports multi-dimensional and intelligent interactive experience; the system is widely applied to the fields of emergency drilling, military deduction, urban planning, educational training and the like, and the intelligent level and the operation convenience of sand table demonstration are remarkably improved.

The invention discloses an optimization method and system of a motor thermal management system and a motor, and the optimization method comprises the steps: building a one-dimensional motor thermal management system simulation model, and obtaining one-dimensional simulation data based on the one-dimensional motor thermal management system simulation model; optimizing the original motor thermal management system based on the one-dimensional simulation data to obtain an optimized first motor thermal management system; optimizing the optimized first motor thermal management system to obtain an optimized second motor thermal management system; the optimized second motor heat management system is tested, and heat transfer coefficients and targeted optimization points of all cooling channels under different flows are obtained; and performing parameter adjustment optimization on the one-dimensional motor thermal management system simulation model to obtain an optimized third motor thermal management system, and performing simulation verification on the optimized third motor thermal management system. According to the method, one-dimensional simulation is combined with three-dimensional simulation, so that the development time and computing resources can be greatly shortened on the premise of ensuring the accuracy of all working conditions.

The invention discloses an artificial intelligence route guide system and method for smart tourism, and relates to the technical field of intelligent decision making, and the method comprises the steps: extracting a multi-dimensional behavior feature vector based on tourist trajectory data, carrying out vectorization coding through employing a deep embedding method, carrying out the dynamic clustering of a coding result, and generating a tourist interest preference semantic micro-cluster; fusing the tourist interest preference semantic micro-cluster and the environment state data, and constructing a digital twin tourism city virtual environment in combination with city space layout information; performing tourist trajectory and tourist interest preference simulation based on a digital twin tourism city virtual environment, and performing multi-dimensional simulation and dynamic optimization of a guide route to generate a personalized guide route scheme; and pushing the personalized guide route scheme to the tourist, performing interactive path adjustment in combination with feedback information of the tourist, and generating an optimized personalized guide route scheme according to an adjustment result. According to the invention, the scientificity, the practicability and the dynamic response capability of the navigation route are improved.

The invention belongs to the technical field of liquid cooling system control, and discloses a rotating speed prediction and control method for a charging gun liquid cooling system, and the method comprises the steps: obtaining the performance parameters of key parts, including a radiator, a water pump, a fan, a gun line and a liquid storage tank, in the liquid cooling system; inputting the performance parameters into the one-dimensional simulation model to obtain the highest temperature Tcoolant of the cooling liquid under different working conditions; on the basis of the Tcoolants under different working conditions, the relationship between the different working conditions and the Tcoolants is fitted, so that a rotating speed prediction model is obtained; the environment temperature and the gun line resistor heating power under the target working condition are input into the rotating speed prediction model, under the constraint met by Tcoolant, multiple sets of rotating speed combinations meeting the constraint are obtained through prediction, and the rotating speed combination enabling the total energy consumption of the liquid cooling system to be the lowest is selected from the multiple sets of rotating speed combinations to serve as the optimal rotating speed combination of the target working condition; and during charging, the fan rotating speed and the water pump rotating speed are regulated and controlled in real time based on the optimal rotating speed combination. The system has the advantages of advanced adjustment, quick response, energy conservation, high efficiency and the like.

The invention relates to the technical field of ball valve design and simulation, in particular to a three-dimensional simulation design method and system for a ball valve. The method comprises the following steps: performing reference geometric construction based on a ball valve design specification, and performing geometric parameterization to obtain an initial geometric configuration; importing the initial geometric configuration into a finite element analysis platform, and endowing material attributes to obtain a finite element mesh model; performing ball valve working stress analysis on the finite element mesh model to obtain a stress-strain field; performing model fluid domain grid division according to the initial geometric configuration and the stress-strain field to obtain a fluid domain grid; valve opening change setting is conducted on the fluid domain grids, and a CFD calculation model is obtained; internal flow field transient simulation of the ball valve under different opening degrees is conducted on the CFD calculation model, and fluid dynamic parameters are obtained. The dynamic characteristics of the valve under the complex working conditions are accurately captured, and the working performance of the valve under different working conditions is improved.

The invention discloses a disaster risk assessment early warning method and system based on multi-source heterogeneous data, and relates to the technical field of data fusion and processing, and the method comprises the steps: obtaining a multi-source heterogeneous disaster risk data stream; constructing a normalized disaster feature matrix; generating a multi-source feature incidence matrix; generating a disaster risk index set according to the disaster risk prediction model; generating a regional disaster risk distribution thermodynamic diagram; constructing a disaster risk time sequence model; and generating a disaster research and judgment report, and performing visual early warning on the disaster research and judgment report through a three-dimensional simulation technology. The technical problem that traditional disaster risk assessment early warning depends on a single or few data sources, data are one-sided and lack of real-time performance, and consequently assessment early warning is inaccurate is solved, comprehensive real-time analysis based on multi-source heterogeneous data is achieved, the accuracy of disaster risk assessment and the timeliness of early warning are improved, and the risk assessment early warning efficiency is improved. And a reliable basis is provided for disaster emergency decision making.

The invention is suitable for the technical field of vehicles, and provides an automobile bumper parameter determination method and system, and the method comprises the following steps: constructing an automobile bumper with different curvature radiuses and a three-dimensional simulation model of a whole automobile, and dividing the three-dimensional simulation model into a plurality of units through employing a finite element analysis method, so as to simulate the stress distribution and deformation in a collision process; configuring collision parameters, wherein the collision parameters comprise a collision speed, a collision angle and a collision object; simulation software is operated, the conditions of bumpers with different curvature radiuses in the collision process are simulated, a collision simulation result is recorded, and the collision simulation result comprises the deformation condition and energy absorption information of the bumpers; preliminarily determining the curvature radius range of the automobile bumper based on the collision simulation result; and the measurement precision and the measurement stability of the radar in the automobile bumper within the curvature radius range are determined, and the optimal curvature radius range is determined. According to the invention, while the collision performance of the bumper is ensured, the normal work of the radar sensor is also ensured.

The invention relates to the technical field of bridge construction monitoring, and provides a digital twinborn digital-intelligent construction method and system for paving and erecting all-in-one machines. Under the construction operation working condition that a PK type section steel beam and a concrete prefabricated bridge deck slab are overlapped later, according to obtained construction monitoring sensing information of all the paving and erecting all-in-one machines in the main bridge construction process, the construction monitoring sensing information of all the paving and erecting all-in-one machines is obtained; oPC data is integrated to form logic and physical information and construction environment data information of the laying and erecting all-in-one machine, and modular association simulation driving is used for conducting three-dimensional simulation on main beam construction and associating construction monitoring data information through PLC programming data processing. The working posture and physical information state matching of each simulation model and dynamic construction simulation of the construction environment are completed, digital twin digital-intelligent construction of actual physical data is achieved, digital-intelligent development of bridge construction is improved, and the problem that in the prior art, under the PK type steel beam and prefabricated bridge deck slab post-overlapping asynchronous construction condition, the construction efficiency is greatly improved is solved. And the intelligent safety monitoring technology of the construction equipment and the steel beam structure is immature.

The invention discloses a physical field reconstruction method fusing a reduced-order model and a multi-fidelity model, and belongs to the technical field of data-driven physical field reconstruction. The method comprises the following steps of: firstly, carrying out nonlinear dimension reduction on high-dimensional simulation data by utilizing a deep auto-encoder, extracting a low-dimensional feature vector, training an encoder-decoder network, and establishing bidirectional mapping between high-dimensional data and low-dimensional data; then, a mapping model from the working condition parameters to the low-dimensional features is constructed and used for predicting feature vectors under the new working condition; the prediction features are then reconstructed by a decoder into preliminary physical field data as a low fidelity trend. And finally, on the basis of the trend, in combination with sparse high-fidelity measured data, correction is carried out through a multi-fidelity fusion model, and a high-precision reconstructed physical field is obtained. According to the method, the precision and credibility of physical field prediction are effectively improved by fusing multi-source data, and the method is suitable for the fields of structural health monitoring, digital twinning and the like.

The invention relates to the technical field of lamp model integration, in particular to an integrated design method and system for a three-dimensional simulation model of lamp equipment. The method comprises the following steps: acquiring lamp equipment basic data, classifying the lamp equipment basic data according to components, performing three-dimensional reconstruction of independent components, forming three-dimensional lamp basic composition units, acquiring a physical connection relationship, determining functional positioning of each unit, and segmenting the lamp equipment basic data into three-dimensional decoration units and three-dimensional light source units; determining a physical support structure according to the three-dimensional decoration unit; simulating and optimizing a load bearing design through weight aggravation; generating and optimizing the three-dimensional decoration unit; performing light scattering simulation based on the three-dimensional light source unit, tracking a light scattering track of the light source, optimizing the three-dimensional decoration unit according to the light scattering track, and integrating the three-dimensional light source unit and the final decoration unit. And forming a lamp equipment design integration model. According to the invention, the design efficiency of the lamp equipment is improved, and the digitization and intellectualization process in the field of lamp design is promoted.

The invention relates to the technical field of power optical cable monitoring, and discloses a power optical cable operation situation sensing method, which comprises the steps of collecting temperature, strain, vibration and scattering signal data along an optical cable in real time through a distributed optical fiber sensor, and constructing a multi-source heterogeneous data set in combination with power grid operation data and environment monitoring data; carrying out denoising, abnormal value elimination and missing value filling processing on the data by adopting a time sequence synchronization algorithm, and extracting a temperature rise rate and a strain fluctuation frequency to generate a multi-dimensional feature matrix; by dynamically fusing multi-source data, situation awareness indexes such as a thermal stability score and an overload risk index are generated; an LSTM algorithm and a dynamic threshold model are combined to predict the operation risk level of the optical cable in the next 24 hours, a power grid dispatching system is linked through visual means such as a situation map and three-dimensional simulation, and intelligent alarm and operation and maintenance suggestions are automatically issued. The fault identification precision can be improved, the operation and maintenance cost can be reduced, and preventive maintenance can be realized.

The invention discloses a complete machine variable-dimension simulation method based on a circumferential average flow model, belongs to the technical field of aero-engine numerical simulation and multi-scale modeling, and solves the problem that complete machine simulation efficiency and local flow detail precision are difficult to consider at the same time in the prior art. And traditional full-three-dimensional computing is too high in resource consumption and cannot quickly evaluate the performance of the whole machine. According to the method, a zero-dimensional complete machine and component two-dimensional model of the aero-engine is firstly established, dimensionality reduction is carried out by using a circumferential average N-S equation, the two-dimensional model is embedded into the zero-dimensional model, an equivalent replacement variable reconstruction equation set is solved, synchronous convergence of the complete machine and component models is realized, and simulation precision and efficiency are improved. According to the method, a full coupling mode is adopted, two-dimensional dimension reduction modeling is combined, minute-level convergence is achieved, the simulation error is not larger than 5%, the simulation precision is improved, the calculation efficiency is improved, rich S2 flow field information can be provided, and the research and development cost and period are reduced.

The invention relates to the technical field of illumination design, and discloses a transformer substation indoor illumination design method, system and device and a storage medium, and the method comprises the steps: obtaining real-time data, spatial feature data and meteorological data of a transformer substation, inputting the data into an illumination prediction model, and obtaining the illumination demand value of each region of the transformer substation; inputting the illumination demand value and the environmental parameters into a lamp selection model to obtain a lamp layout initial scheme; establishing a three-dimensional simulation model of the transformer substation according to the transformer substation design drawing and the lamp layout initial scheme, and performing iterative simulation to obtain a lamp layout optimization scheme; performing clustering analysis on the lamp layout optimization scheme by adopting a clustering algorithm to obtain a plurality of lamp groups, and setting an independent power distribution loop for each lamp group; and generating a control strategy corresponding to each lamp group according to the illumination demand value. According to the invention, the design precision, the energy efficiency level and the operation and maintenance convenience of the lighting system are remarkably improved by fusing dynamic prediction, multi-objective optimization and intelligent control technologies.