158 results about "Bidirectional coupling" patented technology

The invention relates to the field of mechanical engineering, in particular to a hydraulic-structure collaborative optimization design method for a shield pump, and aims to solve the problems of load distortion and structure matching imbalance caused by traditional staged optimization. The method comprises the following steps: constructing a fluid-solid bidirectional coupling simulation model, and extracting transient hydraulic loads under multiple working conditions; establishing a structure dynamic response agent model based on modal superposition and Gaussian process regression; key coupling parameters such as the impeller outlet width and the volute base circle diameter are recognized through a Sobol method; and the efficiency, the lift fluctuation rate, the stress and the vibration are taken as multiple targets, and a Pareto optimal solution is searched through an improved genetic algorithm. Manufacturing constraints are embedded in the optimization process, the single period is shorter than 48 hours, and fatigue life evaluation and knowledge base intelligent recommendation are supported. According to the method, closed-loop cooperation of hydraulic excitation and structural response is achieved, the vibration prediction error is lower than 10%, the optimization dimension is compressed to be within 5 dimensions, the efficiency is improved by 20 times or above, and the performance reliability and the design intelligence level of the shield pump are remarkably improved.

The invention relates to a mixed dirt deposition analysis method combined with a three-dimensional dynamic grid technology, and belongs to the technical field of heat exchange equipment dirt deposition mechanism analysis. The method comprises the following steps: establishing a heat exchange surface physical model comprising a longitudinal vortex generator; grid division is carried out, and the number of grids meeting requirements is determined; traversing flow field parameters; traversing an adjacent area of the deposition bottom surface through a user-defined function; establishing a deposition and denudation rate model of the particle-devitrification mixed dirt; calculating the dirt layer thickness and the dirt thermal resistance of the mixed dirt; a three-dimensional dynamic grid technology is used for moving nodes to realize bidirectional coupling of dirt and a flow field. According to the invention, the particle-devitrification mixed dirt model is established, and the dynamic growth process of the dirt and the bidirectional coupling effect of the dirt and the flow field are realized in combination with the dynamic grid technology in the three-dimensional model, so that the dirt deposition distribution and the dirt thermal resistance in the simulation are closer to actual values.

The invention discloses a multi-scale bidirectional coupling sweating cooling simulation method which comprises the following steps: firstly, on a mesoscale, constructing a mesoscopic flow model, simulating flow of a coolant, and obtaining parameters such as porosity, permeability and inertia coefficient of a porous medium; introducing the obtained parameters into a porous medium panel area of a thrust chamber geometric model constructed under a macroscale to realize cross-scale parameter coupling; the flow and heat transfer process in the thrust chamber geometric model after cross-scale parameter coupling is simulated, and the speed, pressure, temperature and local heat flux density distribution of a combustion chamber and a porous medium panel area under the macroscale are obtained; and taking the local heat flow density as a new wall surface boundary condition, capturing the flow and heat transfer characteristics of a coolant in pores under a thermal state working condition based on the mesoscopic flow model, and further evaluating the overall cooling performance and the thermal protection effect of the porous medium panel. Through coupling calculation of the mesoscopic pores and the macroscopic combustion chamber, the accuracy and reliability of prediction of the cooling performance of the porous medium are improved.

The embodiment of the invention relates to the field of power systems, and provides a collaborative design scheme generation method and device for submarine cable lightning overvoltage suppression and insulation cooperation based on a particle swarm optimization algorithm, computer equipment and a storage medium, and the method comprises the steps: carrying out the initial configuration of optimization basic data of a to-be-simulated experiment, constructing to obtain a simulation environment after initialization configuration; based on the simulation environment after initialization configuration, parallel electromagnetic transient program simulation is carried out so as to construct a bidirectional coupling framework simulation model of submarine cable lightning overvoltage suppression and insulation cooperation; and based on an improved hybrid particle swarm optimization algorithm, solving the bidirectional coupling framework simulation model to generate a collaborative design scheme corresponding to the submarine cable lightning overvoltage suppression and insulation cooperation process. By adopting the method, the overvoltage level of the submarine cable system and the technical implementation effect of insulation cooperation can be improved, and the safety of the system is improved.

The invention discloses a multi-physics field coupling numerical method for simulating wave-ocean current-earthquake-seabed interaction, and relates to the technical field of ocean engineering numerical simulation, and the method comprises the following steps: model construction, load application, coupling solution, and result analysis and application. According to the method, revolutionary simulation of collaborative response of a seabed and a structure in a complex marine environment and multi-physics field high-precision bidirectional coupling of random waves, steady-state ocean currents and seismic excitation are realized by constructing a total-factor coupled high-precision numerical model, the problems of incomplete coupling dimensions and excessive model simplification of a traditional method are solved, and the method has the advantages of being high in practicability and high in reliability. According to the wave-induced seabed liquefaction simulation method, the simulation result and the actual working condition coincidence degree are remarkably improved, the frequency domain transfer function method is introduced to analyze the seabed pore pressure response, the cognitive depth and the prediction precision of the wave-induced seabed liquefaction mechanism are remarkably improved, and in addition, through efficient algorithms such as GPU parallel calculation, self-adaptive grids and frequency domain-time domain mixed solution, the wave-induced seabed liquefaction simulation method has the advantages that the wave-induced seabed liquefaction simulation precision is improved. And the calculation efficiency is greatly improved while the precision is ensured.

The invention relates to an intelligent network source collaborative optimization control method, device and equipment for a power system and a medium, and the method comprises the steps: collecting the operation data of a target power system, and triggering a two-stage collaborative optimization control strategy in response to the condition that the state quantity is greater than a preset threshold value; responding to a cross iteration optimization control strategy until the regional control deviation and the hub node voltage deviation meet a preset deviation target, and generating an active adjustment amount instruction; in response to a reactive power optimization and compensation active power distribution optimization control strategy, generating an update instruction of a hub node voltage and a distribution instruction of a compensation active power adjustment amount; and responding to the active adjustment amount instruction, the updating instruction and the distribution instruction until a preset optimization target is met. Therefore, the problems that the problem of mutual restriction cannot be solved, the coordination of active power and reactive power is difficult to realize, the operation safety and economical efficiency are influenced and the like due to the fact that the problem of bidirectional coupling cannot be effectively processed and the real-time control level is not fully considered in the related technology are solved.

The invention belongs to the technical field of aircraft ground support facilities, and particularly relates to a fluid-solid coupling mechanical analysis method for a large-span aircraft ground agile protection structure. According to the method, on the basis of an arbitrary Lagrange-Euler (ALE) algorithm, by integrating HyperMesh pretreatment and an LS-DYNA solver, high-precision simulation of fluid-structure interaction response of the plane ground agile protection structure under the action of a wind load is achieved. Comprising the following steps: establishing an aircraft ground agile protection structure finite element model and carrying out component division and grid division; constructing a semi-cylindrical air drainage basin and setting fluid material attributes and boundary conditions; and defining a fluid-solid coupling interface, and carrying out explicit dynamic calculation by adopting a bidirectional coupling algorithm. According to the method, the problems of low simulation precision and poor convergence of a flexible large-span structure in a traditional method are effectively solved, the stress, deformation and stability of the plane ground agile protection structure at different wind speeds can be accurately evaluated, and a reliable basis is provided for wind resistance design and safety evaluation.

The application discloses a soil deep loosening simulation method based on DEM-FEM bidirectional coupling. The method comprises the following steps: establishing a soil discrete element model and a deep loosening tool finite element model; using the discrete element DEM simulation to analyze the influence law of soil characteristic parameters and deep loosening tool motion parameters on soil deep loosening effect and deep loosening tool working resistance; changing the soil characteristic parameters and deep loosening tool motion parameters, and calculating the information such as soil deep loosening particle mixing degree, deep loosening tool working efficiency and working resistance under different variables; analyzing the influence law of the working resistance obtained from the DEM on the deep loosening tool structure through the finite element FEM analysis, changing the soil structure parameters and deep loosening tool structure parameters, and counting the statics and dynamics analysis results under different variables; simulating through the DEM-FEM bidirectional coupling, analyzing the soil deep loosening mechanism of the deep loosening tool, and obtaining the parameter and structure optimization results. Compared with the prior art, the application can effectively reduce resistance and consumption, and improve working efficiency.

The application relates to the field of construction scheduling control, in particular to a water conservancy engineering construction mechanical group collaborative operation intelligent scheduling system, which comprises the following steps: a geological mechanical coupling twin platform constructs a bidirectional coupling closed loop of a geological field and construction mechanical behavior according to real-time working condition data of a region to be constructed, obtains a dynamic geological attribute field quantity, and fits a geological disturbance sensitive coefficient of the region to be constructed; a cloud edge end collaborative network collects real-time working condition data through an intelligent agent node; a cloud computing center solves a global construction task scheduling scheme by adopting a multi-objective optimization algorithm; an edge computing node adopts a multi-agent deep reinforcement learning algorithm to perform real-time rolling optimization on the collaborative operation of construction machines in a local jurisdiction region according to a screened optimal local construction task distribution scheme, generates a local collaborative scheduling instruction, and schedules each construction machine. The scheduling system can realize real-time sensing of geological changes, reduce the probability of engineering accidents, and dynamically optimize the collaborative operation of the mechanical group.

The application relates to the technical field of energy storage safety, and discloses a multi-scale multi-physical-field energy storage emergency space twin modeling method, which comprises the following steps: presetting macro low-dimensional and micro high-dimensional models in an edge computing device, measuring residual computing power, setting a concurrent threshold, calculating space-time gradient characteristics by using a macro model based on annular buffer data to mark a candidate region, calculating a thermodynamic urgency index, sorting the candidate region, and screening out an activated region, calling historical data to drive a micro model to perform super-real-time operation, completing internal state initialization, establishing a heterogeneous model physical boundary bidirectional coupling by using flux impedance matching, outputting a fault evolution prediction result, and generating a fixed-point emergency control instruction. By means of thermodynamic urgency scheduling and boundary coupling technology, the application solves the high-fidelity simulation problem under the condition of limited computing power on the edge side, and improves the prediction accuracy and response speed of the multi-scale multi-physical-field energy storage emergency space twin modeling.

The invention discloses a landslide simulation device with multi-size adaptive bidirectional coupling load application. Comprising three horizontal vibration conduction assemblies, a bidirectional telescopic bearing support connected with the horizontal vibration conduction assemblies, a vertical oil pressure action element connected with the bidirectional telescopic bearing support, and a landslide model box connected with the vertical oil pressure action element. And the vertical telescopic fixing bracket is detachably connected with the landslide model box and the bidirectional telescopic bearing bracket. The sizes of the bidirectional telescopic bearing support and the horizontal vibration conduction assembly can be flexibly adjusted according to the landslide model box, and the vertical telescopic fixing support is adapted to the height of the box body and the distance between the vertical telescopic fixing support and the support to form an integrated test frame; the size limitation of a traditional fixed table top is broken through, the universality, flexibility and economical efficiency of the device are remarkably improved, through overall connection of the telescopic fixing assemblies, the integrity of a force transmission path and the shear resistance of the system are enhanced, and the hidden danger that the model box slips off under strong shock is thoroughly eliminated.

This invention discloses a privacy-preserving energy-data collaborative optimization method and system for Virtual Power Plants (VPPs), relating to the field of virtual power plant operation optimization technology. The method includes establishing an outer master-slave game model to obtain strategic parameters output by the model; combining these strategic parameters with an inner multi-timescale operation optimization model to obtain operational data; constructing a bidirectional coupling feedback mechanism and a Stackelberg equilibrium mechanism using the strategic parameters and operational data; and employing a distributed collaborative solution method based on the bidirectional coupling feedback mechanism and Stackelberg equilibrium mechanism to obtain the VPP privacy-preserving energy-data collaborative optimization results. This invention constructs a bidirectional closed-loop coupling framework, achieving deep integration and collaborative value-added of data element value and energy physical value.

The invention provides a radio frequency microwave power amplifier over-standing wave protection system and a protection method thereof. The system comprises a bidirectional coupling module, a dual-path detection module, a signal processing module and a protection execution module, wherein the bidirectional coupling module is used for collecting a forward radio frequency power analog signal and a reverse radio frequency power analog signal; the dual-path detection module is used for generating a forward detection voltage analog signal based on the forward radio frequency power analog signal and generating a reverse detection voltage analog signal based on the reverse radio frequency power analog signal; the signal processing module is used for generating an actual standing-wave ratio based on the forward detection voltage analog signal and the reverse detection voltage analog signal, and generating a control protection signal according to the actual standing-wave ratio; and the protection execution module is used for performing power-off protection on the to-be-protected radio frequency microwave power amplifier based on the control protection signal. The problem that an existing radio frequency microwave power amplifier over standing wave protection scheme cannot be suitable for complex application scenes can be solved.

This invention provides a simulation and pre-drilling method and system based on smart water conservancy. Through multi-source data integration and preprocessing, it fuses hydrological, geographical, and population data to output a standardized fusion dataset. Digital twin scenario construction, combined with the MARL algorithm, achieves bidirectional coupling between flood evolution and resident behavior. Dynamic simulation and pre-drilling drive bidirectional coupled simulation to predict flood inundation and disaster chain transmission. Strategy generation and optimization employ an improved NSGA-III algorithm to achieve multi-objective evacuation path optimization and generate resettlement plans. Specifically, it breaks through the limitations of traditional unidirectional simulation, achieving multi-objective dynamic optimization and improving the intelligence, precision, and fairness of flood disaster response. It can be widely applied to flood disaster prevention and control in various river basins and cities.

The application relates to the technical field of water resource management, and particularly discloses a multi-water-source multi-target regional water resource optimal allocation system under ecological constraints, which comprises an intelligent agent interaction analysis module, which is used for constructing four types of intelligent agents of life, industry, agriculture and ecology, introducing an ecological security pattern index as environmental feedback, adopting enhanced learning to dynamically optimize water use strategies of the intelligent agents, and realizing spatiotemporal coupling analysis of water use competition and ecological constraints; the application constructs multiple types of water use intelligent agents and introduces the ecological security pattern index as the environmental feedback, dynamically simulates the competition, sharing and transfer relationship among water users within a time step, and accurately identifies the key path of water use conflicts. The enhanced learning mechanism enables the intelligent agents to gradually form water use strategies adapting to the ecological constraints in the iteration process, realizes bidirectional coupling of water use behaviors and ecological environment states, and overcomes the technical bottleneck that a traditional allocation model is difficult to depict real-time mutual feedback of water users.

The invention discloses a pressurized water reactor fuel rod bundle transient nuclear thermal coupling calculation method under a two-phase flow condition. A solid domain model and a fluid domain model are established, and grids are divided; generating a few-group cross section library based on a Monte Carlo program, and parameterizing the cross section into a temperature and density function by using Python interpolation; and a grid is imported into the CFD solving platform, and a two-phase flow thermal hydraulic model is selected. A neutron diffusion equation is discretely solved by adopting a user-defined scalar equation interface, source item, diffusion item and transient item coefficients and neutron physical boundary conditions are defined by utilizing a user-defined function interface, section parameters are updated in real time according to local temperature and density, and meanwhile, a power heat source is calculated according to neutron flux and fed back to thermal hydraulic calculation; and bidirectional coupling is realized. And carrying out steady-state characteristic value calculation, applying disturbance to carry out transient calculation after convergence, and outputting power, temperature, density, void fraction and neutron flux space-time distribution after a termination criterion is met for safety analysis of a nuclear reactor.

The present application relates to the technical field of digital twinning of hydraulic engineering, and more particularly to a digital twinning automatic construction method for hydraulic engineering. The method comprises the following steps: partition monitoring and multi-level sampling of the hydraulic engineering construction area to obtain a multi-level hydrodynamic data set; constructing a hydrodynamic vector field using the multi-level hydrodynamic data set; constructing a triangular monitoring area through the hydrodynamic vector field; calculating the area average vorticity of the triangular monitoring area and analyzing the flow velocity vector at the three corner vertices of the triangular monitoring area to obtain a local vorticity distribution map; determining the shear stress distribution map around the construction equipment according to the local vorticity distribution map; determining the influence range on the construction equipment according to the shear stress distribution map to form a multi-parameter influence radius table. The present application realizes real-time two-way coupling analysis of the hydrodynamic environment and construction activities through digital twinning technology of hydraulic engineering, providing efficient and accurate technical support for automatic construction of hydraulic engineering.

The invention provides an intelligent simulation method and device for wheel impact and a server, and relates to the technical field of intelligent simulation, and the method comprises the steps: determining a three-dimensional geometric model of a target wheel according to material attributes and orientation information of the wheel; determining a loading position and an impact direction of the punch hammer based on the impact interaction point, updating the punch hammer model to obtain a target punch hammer model, and determining a rack constraint condition and a buffer boundary condition according to the fixed surface; based on a preset gas state equation, establishing a bidirectional coupling relationship between tire deformation and air pressure change in the simulated air cavity so as to determine a pressure load of gas in the tire; and executing wheel impact process simulation processing in the target wheel three-dimensional geometric model through an explicit dynamics solver by utilizing the target impact hammer model, the rack constraint condition, the buffer boundary condition and the gas pressure load so as to generate simulation results of the wheel impact process and the structure rebound process after the removal of the simulation impact hammer. According to the invention, the simulation accuracy can be obviously improved.

The invention provides a power transmission line forest fire protection decision-making method based on bidirectional coupling digital twinning, and relates to the technical field of power transmission line forest fire protection, and the method comprises the steps: constructing a power transmission line digital twinning model; constructing a forest fire evolution digital twinborn model; coupling the forest fire evolution digital twinborn model with the power transmission line digital twinborn model; respectively inserting the mountain fire initial state constraint condition and the protection action combination into the line-mountain fire coupling model, executing multi-scene parallel fitting, and constructing a line risk evolution result; and executing multi-objective optimization analysis of a protection action by utilizing a line risk evolution result, a line operation influence index and a protection resource constraint condition, and establishing a protection decision scheme. According to the method and the device, the technical problem that the accuracy of a power transmission line protection decision is further influenced due to forest fire risk situation perception fragmentation caused by space-time blind areas and false alarms of single-source monitoring data in the prior art is solved, and the accuracy of the power transmission line protection decision is improved by combining digital twinning.

The application discloses an energetic material processing parameter optimization method and system based on a force-heat coupling model, and relates to the technical field of intelligent simulation optimization based on specific calculation models. In view of the problems that 3D printing and mechanical processing data are disconnected, and common force-heat coupling models are not suitable for energetic materials in the prior art, the method of the application first collects 3D printing operation and initial state data of the grain, then constructs a force-heat two-way coupling intelligent calculation model special for energetic materials, adopts a Bayesian algorithm to multi-objective optimize processing parameters based on the model, and carries out model-driven closed-loop dynamic processing control. The method of the application realizes full data connection and adaptation to material characteristics, takes into account safety, precision and efficiency, and improves the processing stability and consistency of the energetic material.

The invention discloses a self-adaptive hole protecting and sealing device and method for soft coal seam gas extraction drilling, the device comprises a sectional type screen pipe, an active hole protecting assembly and a hole sealing assembly, the active hole protecting assembly comprises a multi-section type center hollow rod, a cable and a dynamic hole protecting supporting array; the dynamic hole protection supporting array comprises a supporting unit which stretches out and draws back in the radial direction of the multi-section type center hollow rod, and the supporting unit is used for actively supporting the drilling hole wall and adjusting the supporting force in a real-time and self-adaptive mode. Through a dynamic sensing-active regulation-cooperative sealing closed loop mechanism, the defect of separation of static passive sealing and hole protecting and sealing is overcome. The network distributed electric push rod carries a sensor to monitor hole wall changes in real time, supporting force is independently adjusted, and real-time dynamic hole protection is achieved. And the automatic liquid supplementing cavity is matched with the double-back-pressure valve to automatically maintain the sealing pressure. Hole protecting and hole sealing are in two-way coupling linkage, dynamic sensing and real-time self-adaptive adjustment can be achieved, effective sealing of a drilled hole can be maintained all the time, and organic unification of active hole protecting and hole sealing can be achieved.

This invention discloses a method and system for predicting turbine disk temperature fields, an electronic device, and a storage medium. The method utilizes an improved Mamba-2 model with bidirectional coupling of an improved Mamba module and a spatiotemporal attention mechanism to predict turbine disk temperature fields. The spatiotemporal attention mechanism can dynamically adjust feature weights according to the temporal evolution of the temperature field, avoiding being limited to static feature weighting. The improved Mamba module performs feature filtering based on the weighted output of the spatiotemporal attention mechanism, which can selectively filter redundant temporal information and compensate for the deficiency of the Mamba-2 model in capturing features sensitive to core parameters. This forms a closed-loop collaborative mechanism of temporal modeling, feature enhancement, and gating optimization, achieving deep integration of the two. This improves both the temporal modeling accuracy of turbine disk temperature fields and the ability to capture core features, thereby improving the prediction accuracy of transient temperature fields of turbine disks.

The invention belongs to the field of computational electromagnetism numerical simulation, and particularly relates to a non-uniform conformal FDTD method based on a sub-grid technology. According to the method, non-uniform conformal geometric correction is introduced into the sub-grids, so that high-precision fitting of a curved surface boundary is realized, step approximation errors are reduced, and the calculation precision of field quantities near the boundary is improved; according to the method, bidirectional coupling transfer which simultaneously meets line integral conservation and flux conservation is established on a main-sub grid interface, and a conservation relation required by a non-uniform conformal FDTD method is prevented from being damaged, so that interface numerical value reflection is effectively inhibited, energy non-physical errors are reduced, and long-term stability is improved; and fine grids are only adopted in the local fine structure neighborhood and are matched with time sub-cycle propulsion, so that global grid encryption and limitation of global time step length to a minimum unit are avoided, and the storage and calculation time overhead is remarkably reduced while the precision is ensured. According to the method, geometric modeling precision, interface stability and calculation efficiency are considered, and the method has high engineering application value.

This invention discloses a dual-domain evolution prediction method for carbon mechanics of civil structures based on generative physics field inference. The steps are as follows: 1. Set an initial boundary condition set B within [0,T]; 2. Construct a bidirectional coupled control equation system P for carbonization diffusion and mechanical response based on B; 3. Construct a generative physics field inference model and embed it into P, achieving coordinated iteration of the concentration field C(x,t) and stress field σ(x,t) through spatiotemporal feature encoding and a dual-domain generation kernel, followed by dynamic feedback correction to convergence via a physical consistency regulator; 4. Construct a joint loss function including data fitting, physical equation residuals, energy constraints, and constitutive consistency, and perform two-stage hybrid optimization training to convergence; 5. Discretize the time domain into N layers, performing dual-domain evolution recursion, latent variable residual self-repair, and multi-scale stability control at each step, outputting field distribution, carbonization depth, and stiffness degradation indices. This invention deeply integrates the generative model with the bidirectional coupled equations, achieving unified convergence of data-driven and physical constraints.

The invention discloses a behavior monitoring and early warning system and method based on tourist-animal bidirectional coupling, and the system is constructed based on a five-layer architecture. Comprising a time sequence perception multi-mode fusion module, a behavior semantic knowledge graph reasoning module, a bidirectional behavior coupling detection module, a self-supervised behavior evolution and intention drift detection module and an intelligent agent collaboration and event bus module. According to the scheme, the recognition accuracy and robustness of complex behaviors (including subtle actions and intentions) of tourists are greatly improved, deep understanding and risk assessment of human-animal interaction are realized, new scenes and new behavior modes are continuously adapted through a self-learning and self-evolution mechanism, information islands are broken through, and the risk assessment effect is improved. And cross-region and cross-venue collaborative monitoring and knowledge sharing are realized.

The invention discloses a sag calculation method fusing a single / double-node thermal model and a wind-induced bidirectional effect, and belongs to the technical field of power transmission lines of power systems. The method comprises the steps that firstly, a wire heat-force-wind coupling basic model is built, a wire temperature field is calculated through a single-node or double-node heat model, and equivalent mechanical parameters are calculated based on the layering characteristics of the composite wire; further quantifying the bidirectional coupling relationship of the wind-induced effect, including wind-induced load and convective heat transfer; then establishing a length compatible residual equation, and iteratively solving the horizontal tension and the steady-state temperature by adopting a Newton-Raphson method; and finally, calculating a midspan composite sag and a component thereof based on a catenary theory. According to the method, unified coupling modeling of the temperature effect and the wind-induced effect is achieved, the problems of thermal-force separation and inaccurate parameter description of a traditional method are solved, the sag calculation precision and efficiency are remarkably improved, and an accurate basis can be provided for line safety evaluation under dynamic capacity increasing.

This invention discloses a method for analyzing the contact strength and fault dynamics of rotating components in CNC equipment based on digital mechanism coupling, relating to the field of high-fidelity numerical modeling and dynamic-static analysis of CNC machine tools. The method includes the following steps: acquiring measured data of the maximum spindle axial and radial forces during machining; establishing a spindle bearing contact strength model under multi-physics conditions; introducing a temperature-dependent elastic modulus correction relationship; and calculating the maximum contact stress and deformation of the spindle bearing under mechanical-temperature coupling conditions. It also involves acquiring measured data of the dynamic axial and radial forces of the spindle during machining; establishing a multi-degree-of-freedom spindle-bearing fault dynamics model under mechanical-electromagnetic bidirectional coupling; and achieving accurate fault characteristic identification through iterative response calibration. This invention proposes a digital mechanism coupling framework that, by differentiating measured data with numerical solutions to tune key parameters in the coupling model, maximizes the similarity between the simulation response and measured data, thereby improving the accuracy of the digital model and its consistency with the physical mechanism.

An ultra-wideband radio frequency bidirectional coupler is provided. An ultra-wideband radio frequency bidirectional coupler (200A, 200B, 300, 400A, 400B, 400C) having power divider / combiner functionality for signals having frequencies reaching up to 300 GHz comprises a free propagation region substrate (210) having a pair of opposing edges (240A, 240B), a first group of access ports (P-L1 to P-LM) established along at least one edge of said free propagation region substrate (210) and a second group of access ports (P-R1 to P-RM) established along an opposite edge of said free propagation region substrate (210), wherein the first and second groups of access ports (P-L1 to P-LM), (P-R1 to P-RN) are tuned to a low cutoff frequency f in the microwave or millimeter wave range. CL The interconnects are provided with dielectric waveguide structures (DW-L1 to DW-LM), (DW-R1 to DW-RN) that provide high-pass characteristic interconnects operating over a high frequency range starting from .

This invention discloses a collaborative intelligent control method for multiple smoke exhaust systems in tunnel fires based on MPC. It achieves synchronous iteration of simulation, control, and physical hardware by constructing a full-size FDS numerical model and a Python-FDS-hardware-in-the-loop three-in-one millisecond-level bidirectional coupling interface. A spatiotemporal topology of tunnel fire smoke evolution is constructed to quickly and accurately predict the spatiotemporal distribution of smoke throughout the tunnel. A two-layer deep MPC architecture combining global collaborative optimization and zoned rolling control is designed, integrating multi-objective optimization functions for evacuation safety, smoke risk, energy consumption, and adjustment smoothness, and embedding hard constraints such as equipment rating, differential pressure, and safety thresholds. Adaptive rolling time-domain optimization and adaptive reconfiguration mechanism for fan failures are introduced. Finally, distributed collaborative closed-loop intelligent control of multiple smoke exhaust fans is achieved through the coupling interface, outputting control commands and fire situation data, significantly improving response speed.