574 results about "Structural vibration" patented technology

The invention provides a high-precision five-axis rotary table cooperative control method and system based on multi-closed-loop feedback, and the method comprises the steps: obtaining a real-time acceleration signal of a five-axis rotary table, carrying out the spectrum analysis of the acceleration signal, determining a current resonant frequency drift range and a main frequency component, and carrying out the frequency spectrum analysis; dynamically simulating the turntable structure by adopting a pre-established finite element model, and predicting the vibration mode change trend of the structure by comparing the deviation between the modal frequency obtained by simulation and the actually measured signal spectrum; according to the vibration mode change trend, matching similar vibration mode modes from a pre-established rotary table vibration mode database, obtaining corresponding vibration energy transmission path distribution, and determining an energy transmission abnormal region by analyzing the distribution of energy on each transmission path to obtain vibration energy transmission characteristics; according to an optimized motion instruction of a five-axis turntable, the dynamic response of the turntable is estimated, vibration frequency domain characteristics are extracted, and frequency domain compensation parameters are generated in combination with a preset frequency domain error matrix.

The present invention relates to the technical field of mechanical property testing and characterization. Disclosed are a method and apparatus for calculating a crack propagation life of an engine structure in vibration fatigue, which method and apparatus aim to obtain reliable fracture mechanics parameters and a crack propagation rate curve and provide an accurately quantified crack propagation life, so as to provide methodological guidance for the life assessment of reusable engines. The calculation method comprises: acquiring a time-domain random stress spectrum of stress responses in an assessment section in a finite element model of an engine structure; on the basis of the time-domain random stress spectrum, performing finite element analysis processing on a crack model of the engine structure, so as to determine fracture mechanics parameters of a cracked structure; performing a vibration fatigue performance test on a crack propagation rate model, which is set up according to a preset crack propagation mode, and determining, by using parameter identification, a target parameter value corresponding to the crack propagation rate model; and in combination with the parameter value corresponding to the crack propagation rate model and a preset critical crack length value, performing crack propagation life calculation, so as to obtain a target crack propagation life.

The invention provides a vibration signal space-time reconstruction method based on a multi-modal condition diffusion model, and relates to the technical field of vibration signal reconstruction, and the method comprises the steps: firstly collecting structure vibration response through multiple sensors, constructing a multi-dimensional vibration signal matrix, and automatically recognizing a space continuous missing region and a time random missing region; performing coarse reconstruction on the missing region by adopting self-adaptive multi-scale interpolation so as to recover the basic trend and frequency band characteristics of the signal; a pseudo-missing mask is further applied to complete data, a training sample is constructed through a self-supervision strategy, and the model is guided to learn spatio-temporal correlation features and missing modes; in a training stage, a diffusion model is used as a generation framework, Gaussian noise disturbance is applied to a missing region, four types of condition embedding of time, space, trend and frequency domain are introduced in a denoising inversion process, signal periodicity, multi-sensor space coupling, low-frequency change and a physical frequency spectrum structure are respectively described, and the noise is reduced; and high-fidelity signal reconstruction under multi-modal information joint constraint is realized.

The invention discloses a truss structure wind-induced dynamic response prediction method and system based on physical enhancement. The method comprises the following steps: carrying out feature extraction and alignment fusion on input data containing condition parameters and wind speed time sequence data by utilizing a long short-term memory network and a physical enhancement attention mechanism; extracting multi-scale features from the fusion features through expansion convolution, and performing weighted aggregation on the multi-scale features; the physical priori knowledge of structural vibration is fused into position coding and a self-attention mechanism so as to carry out response prediction; and integrating physical model information of the truss structure and a dynamic control equation into a loss function, and calculating physical information residual loss so as to improve the physical interpretability of a prediction result. According to the method, data heterogeneity can be eliminated, complementary information can be fused, the multi-scale characteristic of wind-induced response is coped with, the accuracy and efficiency of wind-induced dynamic response prediction of the truss structure are effectively improved, and the physical interpretability and generalization ability are enhanced.

The invention relates to the technical field of wind power tower monitoring, and discloses a wind power tower health monitoring method and system. The method comprises the following steps: acquiring structural vibration signals and environmental load data of a wind power tower drum, extracting dynamic response characteristics of the tower drum, and establishing a basic monitoring data set of the running state of the tower drum in combination with the environmental load data; performing multi-dimensional decomposition processing on the basic monitoring data set, separating an inherent frequency component, a damping characteristic parameter and an external excitation coupling component of the tower drum, and constructing a first evaluation index of tower drum structure health according to the relevance between the inherent frequency component and the damping characteristic parameter; historical damage records and material degradation data of the tower drum are obtained, the historical damage records and the external excitation coupling component are subjected to time sequence alignment analysis, and a second evaluation index of tower drum damage evolution is generated; and fusing the first evaluation index and the second evaluation index, establishing a comprehensive scoring model of the health state of the tower drum, dividing the health level of the tower drum, and outputting a real-time monitoring report.

The invention discloses a nonlinear aerodynamic damping estimation method based on LSTM, and the method comprises the following steps: 1, building a nonlinear state space model of a structure based on structural response, including a state equation, an observation equation and a relation between nonlinear aerodynamic damping and structural vibration amplitude; 2, performing updating and covariance prediction on response data by using unscented Kalman filtering; 3, correcting the Kalman gain in real time by using a long short-term memory network; 4, performing state updating and covariance updating based on the corrected Kalman gain; 5, training the long-short-term memory network through an unsupervised learning mode, optimizing the filtering performance, and defining a mean square error of a posterior observation predicted value and a real observation value as a loss function; and 6, calculating the nonlinear aerodynamic damping according to the estimated nonlinear aerodynamic damping parameters. The invention further discloses a nonlinear aerodynamic damping estimation system based on the LSTM and a storage medium.

The invention provides a bridge structure vibration long-term monitoring algorithm and system based on computer vision, and relates to the technical field of beam monitoring. In the prior art, there is no vision-based bridge monitoring algorithm with high precision, strong robustness and shielding self-recovery capability. According to the method, matching point confidence is calculated, and matching points with low confidence scores are removed; calculating the displacement of the bridge at the plurality of feature points, and generating vibration time sequence data; the inherent frequency and the corresponding modal shape are extracted and compared with the reference frequency range and the reference modal shape, the monitoring result is obtained, shielding self-recovery is carried out according to the environmental interference influence, the precision and reliability of bridge monitoring are improved, and the robustness of bridge monitoring activities in a complex scene is improved.

The invention discloses a pure electric vehicle heat pump type whole vehicle thermal management system and method, and relates to the technical field of new energy vehicle thermal management, and the method comprises the following steps: constructing a combined twin system of thermal fluid, structural vibration and acoustic fluctuation, collecting pressure waves and vibration phases by using an array sensor, forming a steady state baseline spectrum and a transient state baseline spectrum, and calculating the temperature of the steady state baseline spectrum and the transient state baseline spectrum; and a unified reference is established. According to the method, a combined twinborn system of thermal fluid, structural vibration and acoustic fluctuation is constructed, the dynamic characteristics of pulsating waves are accurately monitored, and instability early warning is carried out by using a phase locking tracking method. Through pipeline topology reconstruction and segmented damping link design, a self-adaptive pulsation buffer zone is introduced, and pulsation energy is effectively absorbed. And in combination with a multi-target control law and a time reflection mirror cooperative regulation strategy, refrigerant flow is accurately controlled, pulsation energy is actively counteracted, and stable operation of the system is guaranteed. Through the innovative design, the stability of a heat management loop is improved, the fault risk caused by pulsation is reduced, and the cooling efficiency and safety are improved.

The invention discloses a control method and device of a wind driven generator, a terminal and a storage medium, particularly relates to the technical field of operation control of the wind driven generator, and is used for solving the problem that a supporting structure bears violent asymmetric loads due to dynamic response differences of wind and wave load directions in a marine environment in an existing control method. Wind direction and wave direction data are synchronously obtained in real time, the wind direction change rate is calculated, supporting structure vibration signals are analyzed to recognize wave excitation dominant frequency components, and when it is detected that wave excitation energy suddenly changes and the wind direction change rate exceeds the limit, the wind wave direction difference is analyzed; meanwhile, a wave spectrum energy concentration frequency band is determined by analyzing the tower top movement track, the load asymmetry risk level is evaluated by combining the direction difference and the wave energy concentration frequency band, finally, the yaw speed and the variable pitch speed are adjusted in a self-adaptive mode according to the risk level, and accurate recognition and early warning of the wind wave load direction mismatching working condition are achieved. And the operation reliability of the wind driven generator in extreme weather is improved.

The invention belongs to the technical field of control detection, and particularly relates to a laser cutting machine cutting control method and system.The laser cutting machine cutting control method comprises the following steps that S1, frequency sweeping excitation is applied to a plurality of preset grid node positions of a laser cutting machine workbench, and vibration response data of a cutting head is collected; a dominant pole and a zero point of a vibration transfer function of each grid node are identified and extracted, spatial distribution is fitted by using a non-uniform rational B-spline surface, and a spatial model of continuous mapping between a cutting head position and a vibration transfer function parameter is established; s2, decomposing a to-be-processed path into a plurality of path infinitesimal segments, and calculating a preliminary feed-forward compensation instruction of each path infinitesimal segment based on a space model and a zero-phase error tracking control algorithm; according to the invention, the contour error caused by structural vibration and non-linear factors is reduced, the processing precision and the cutting surface quality of the laser cutting machine in a full working range are improved, and the forming effect of a complex contour at a high speed is improved.

The invention discloses a vibration control method for an offshore wind turbine structure, which comprises the following steps of: a, implementing real-time multi-source data acquisition which is realized by deploying a series of sensors on the offshore wind turbine structure and in the surrounding environment so as to obtain environmental load parameters, structural response parameters and running state parameters of the offshore wind turbine; and b, inputting the acquired data into a composite environment and structure state decoupling and feature extraction module, preprocessing the acquired data by the module, and identifying an environment load spectrum in real time. According to the vibration control method for the offshore wind turbine structure, through multi-source information fusion, online system identification and self-adaptive multi-target control, broadband, multi-mode and self-adaptive suppression of vibration of the offshore wind turbine structure is achieved, and the limitation of a traditional fixed parameter damper in a complex dynamic marine environment is overcome; complex excitation sources such as wind, waves and ocean currents and the coupling effect of the excitation sources are effectively handled.

The invention discloses a structural vibration reduction topological optimization design method based on anti-resonant frequency constraint. The method comprises the following steps: constructing a finite element model corresponding to structure parameters; obtaining an initial structure and an optimization column formula according to the finite element model; obtaining an objective function value through finite element analysis; obtaining an anti-resonance frequency correlation characteristic value through generalized asymmetric characteristic value analysis; and the design variables are updated in combination with optimization column constraints, and a topological optimization design configuration is obtained after convergence judgment. According to the method, explicit calculation and precise control of the dynamic compliance anti-resonant frequency are achieved, optimization and advanced convergence are avoided through anti-resonant frequency constraint, a clear vibration reduction topological configuration can be obtained under high-frequency excitation without additional mass, the vibration reduction performance and the static force bearing capacity of the structure are both considered, and the method is suitable for large-scale popularization and application. And the design requirements for light weight and high vibration attenuation of the structure in the fields of aerospace and the like are met.

The invention relates to the technical field of structural vibration control, in particular to an adjustable electric damping-negative stiffness dynamic vibration absorber for a flexible shafting. According to the technical scheme, the damping device comprises a support and a rolling bearing, a plurality of first supporting rods used for supporting are arranged outside the rolling bearing, an electric damper used for absorbing vibration is arranged at one end of each first supporting rod, and a second supporting rod used for supporting is arranged on the other side, away from the first supporting rods, of each electric damper. A negative stiffness vibration absorber is arranged at the end, away from the electric damper, of the second supporting rod, and the electric damper comprises an auxiliary circular ring used for bearing loads. Through the arrangement of the adjusting plate, the adjusting bolt, the disc spring, the mass block, the movable magnet, the static magnet and the electric damper, the purposes of vibration absorption and vibration reduction can be achieved at the transcritical rotating speed and the supercritical working rotating speed, and the negative stiffness dynamic vibration absorption frequency and the electric damping suppression modal frequency can be rapidly adjusted according to the change of the operation working condition; and the application range and the universality are improved.

The invention relates to the technical field of data processing, and discloses a wind turbine generator optimization design method based on tidal current-wave-sediment coupling simulation. The method comprises the following steps: carrying out adaptive time step adjustment on marine environment data through a physical process intensity discrimination algorithm to obtain tidal current field, wave field and sediment transportation data; carrying out fluid-solid coupling calculation on the structural parameters of the wind turbine generator to obtain structural vibration response and ocean load distribution data, and predicting pile foundation scouring depth distribution; carrying out time-varying coefficient correction on the pile foundation bearing capacity parameters to obtain dynamic bearing capacity evaluation data; inputting a multi-objective optimization algorithm to obtain a Pareto optimal solution set; and obtaining a wind turbine generator optimization design scheme through engineering feasibility verification and screening. The technical problems that in existing offshore wind turbine generator design, tidal current-wave-sediment coupling simulation space-time scales are not matched, the pile foundation scouring prediction precision is insufficient, bearing capacity evaluation lacks time-varying characteristic consideration, and the multi-target optimization design capacity is insufficient are solved.

The invention discloses a tuned mass vibration damper with controllable damping, and relates to the field of vibration control of offshore wind power generation equipment structures. The mass damping unit is arranged in a suspended mode, the clamping ring is coaxially arranged, the electromagnetic damping units are evenly distributed in the circumferential direction of the clamping ring, and the electromagnetic damping units are connected with the mass damping unit through winding ropes which are arranged in a radial mode to form a multidirectional synergistic composite damping system; the mass damping unit generates reverse inertia force in vibration to restrain movement of the tower and drives the electromagnetic damping unit to act at the same time, the generator is driven to generate electromagnetic damping through the one-way bearing and the speed increaser, and lossless reset is achieved through the torsion ring. The device is integrated with an energy recovery unit, vibration energy is converted into electric energy to be stored, real-time regulation and control of damping force, omni-directional vibration response and energy feedback are achieved, and the vibration reduction efficiency and the energy utilization rate are remarkably improved.

The invention relates to the technical field of data processing, discloses a deep tunnel blasting control instruction generation method and system based on cross-scale data, and aims to solve the problems of uncontrollable rock mass damage, high support failure risk and parameter optimization lag in the existing method. According to the scheme, the method mainly comprises the steps that rock mass fracture density, blasting vibration velocity, supporting structure strain and blasting thermal disturbance temperature rise are monitored in real time, and a rock mass fracture vibration frequency band, a supporting structure resonance frequency band and power spectrum density of signals corresponding to the supporting structure strain are determined; calculating a rock mass damage index, rock mass fracture vibration energy, support structure vibration energy, a stripping index and support time-varying stiffness; determining a blasting parameter set based on a genetic algorithm, and predicting a predicted rock mass damage index at a future moment; the blasting parameters in the blasting parameter set are corrected, corresponding engineering measures are determined, and a blasting control instruction is generated. According to the invention, the accuracy of the control instruction, the safety of tunnel construction and the timeliness of control response are improved.

An inerter synergistic particle damper pipeline supporting system capable of achieving multi-stage vibration reduction comprises a pipeline, a pipeline support, a universal joint assembly, an outer cavity assembly, a liquid inerter synergistic unit, a particle damper assembly, a rotary particle energy consumption unit, a transmission linkage mechanism and a plurality of tuning springs. According to the system, multi-dimensional vibration of a pipeline is transmitted to a transmission linkage mechanism through a pipeline support and a universal joint assembly, and multi-stage dissipation and absorption of vibration energy are achieved by combining the synergistic effect of a liquid inerter synergistic unit, a particle damper assembly and a rotary particle energy dissipation unit; the system starts different control modes under the action of small-amplitude vibration, large vibration and extreme vibration, efficient vibration control and energy consumption effects are achieved through a three-level response mode, and automatic reset is achieved after external excitation is finished. By means of the synergistic effect of inerter synergy and particle collision energy consumption, efficient control over vibration of the pipe type structure is achieved, the stability of the pipe type structure is improved, and the service life of the pipe type structure is prolonged.

The embodiment of the invention discloses a nonlinear system dynamic characteristic calculation method based on a structural dynamic modification method, and the method achieves the high-precision reduced-order modeling of a nonlinear structure through enabling a complex nonlinear effect to be equivalent to an additional stiffness field and combining with a structural dynamic modification algorithm. And based on the decoupled linear substructure modal space, a nonlinear correction operator is introduced, and the global dynamic response of the nonlinear structure is solved through a resolving method after modification. Structural vibration frequency, vibration shape and energy dissipation characteristics under a nonlinear effect can be efficiently obtained, and dynamic characteristics under different nonlinear amplitudes can be obtained. Compared with a traditional iteration method, the method has the advantage that the calculation complexity is remarkably reduced by equivalently linearizing a nonlinear part.

The invention provides an engineering construction monitoring method and system based on multi-source data fusion, and relates to the technical field of engineering construction monitoring. Structural vibration, wind power and multi-dimensional environment data are fused, a wind load modulation function and an environment correction model are constructed, the influence of a wind load nonlinear amplification effect and environment disturbance on vibration signals is effectively eliminated, and the accuracy of the vibration signals is improved. The accuracy and sensitivity of damage feature extraction are improved; meanwhile, in combination with a signal decomposition technology and multi-layer Bayesian reasoning, probabilistic evaluation and real-time risk early warning of the structural damage state are realized, the response capability and the discrimination capability of the monitoring system to structural state changes under complex working conditions are enhanced, and the precision and the reliability of health monitoring of the engineering building structure are improved.

The invention provides an offshore wind power pile foundation scouring real-time monitoring system which comprises an underwater camera, a rotatable scanning sonar, a single-point flow velocity meter, an acceleration sensor, a fiber grating sensor and a data processing transmission unit which are cooperatively used. Synchronous monitoring of the seabed terrain around the pile, the scour depth and range, the ocean current flow velocity and flow direction and the pile foundation vibration response acceleration signal and strain signal is achieved; the data processing and transmitting unit completes collection and fusion analysis of multi-source data and transmits a monitoring result to a land monitoring station in real time. According to the system, collaborative real-time monitoring of multi-element parameters of ocean current-scoured terrain-structural response is achieved, the dynamic evolution law of the seabed terrain is accurately mastered, a dual verification mechanism of directly detecting the scour depth by scanning sonar and inversing the scour depth by structural vibration response is adopted, the scour depth monitoring precision can be greatly improved, and the real-time performance of the system is improved. And reliable data support is provided for long-term safe operation, structural health assessment and scouring protection design of the offshore wind turbine.

The invention relates to a sensor arrangement and feedback algorithm collaborative optimization vibration control method, and belongs to the technical field of vibration control, and the method comprises the steps: building a structural vibration control system simulation model according to set structural vibration control system model parameters; solving an initial feedback gain matrix by using an LQR algorithm; selecting a vibration mode to construct an initial state vector; determining the number of sensors according to the feedback gain matrix so as to judge whether to perform feedback gain matrix sparsification; calculating a gradient value and a fitness value of the feedback gain matrix, and updating parameters of the feedback gain matrix by using an Adam algorithm; optimizing sensor positions and feedback gain matrix parameters to obtain an optimal output feedback gain matrix; and taking the optimal output feedback gain matrix as a control strategy of the structure vibration control system, determining the optimal mounting position of the sensor, and when the structure is subjected to external excitation, calculating by applying an output feedback algorithm to obtain the response of the structure vibration control system. The overall control efficiency and effect of the structural vibration control system can be improved.

The invention relates to the technical field of noise control, and discloses a vehicle chassis wind noise optimization method and device, computer equipment, a medium and a product, and the method comprises the steps: carrying out the dynamic mode decomposition of obtained flow field data, obtaining the flow field mode characteristics under different frequencies, screening out the low-frequency mode characteristics of middle and low frequencies, and carrying out the optimization of the low-frequency mode characteristics; therefore, the space-time evolution characteristics of the low and medium frequency wind noise in the vehicle chassis flow field can be accurately analyzed. Furthermore, the flow-induced load characteristic and the sound-induced load characteristic in each low-frequency modal characteristic are decoupled to obtain the sound-induced load characteristic in each low-frequency modal characteristic, so that the influence of airflow fluctuation, structural vibration and the like caused by the flow-induced load on the wind noise analysis is avoided; therefore, the positioning accuracy of the sound source and the propagation path of the wind noise waves is improved. And finally, in combination with the sound source and the propagation path of the wind noise wave, the low and medium frequency wind noise of the vehicle chassis is optimized, and the user experience is improved.

The utility model relates to a vibration reduction technology in the field of vibration control of building structures, in particular to an open type modularized tuned mass damping system. The device comprises an embedded part, a frame, a mass block, a supporting beam, an adjusting spring, a damper, a lug plate, a friction plate, a pin shaft and a nut, the frame provided with the mass block serves as a mass module, the supporting beam and the adjusting spring jointly form a rigidity module, and a friction pair composed of the friction plate and the lug plate and the damper jointly form a damping module. When the floor slab generates vertical vibration due to external excitation, the nearby structural beams vibrate synchronously. The supporting beam provided with the mass module is connected to the structural beam through the friction damping pin shaft assembly. The structural beam vibrates to drive the mass module, and the supporting beam and the adjusting spring have the same vibration frequency and opposite directions. The damper between the mass module and the floor is enlarged in deformation due to reverse vibration, energy consumption is enhanced, and therefore vibration of the floor is relieved.

A deep reinforcement learning active control parameter adjustment method considering random time delay comprises the steps of determining a controlled structure model and an actuator installation position, and establishing a structure vibration control kinetic equation; determining a preliminary controller; random time delay is added in the actuator to simulate a real working environment, and a two-way communication environment is established; responding to the set feedback function by using the structure collected by the sensor; determining a deep reinforcement learning algorithm, a neural network framework and training parameters, and establishing an interactive interface; training a deep reinforcement learning agent in the interactive interface, and feeding back a function value through accumulated reward expectation of a deep reinforcement learning algorithm to carry out strategy updating iteration so as to obtain a mature agent; a mature intelligent agent is used as a parameter regulator in a preliminary controller, parameter values are regulated in real time, and vibration control of the structure under random time lag is achieved. According to the method, the robustness of the controller in a complex environment is ensured, and the method belongs to the field of structural vibration control.

The utility model discloses a noise reduction structure, a vibration assembly and a vehicle, and the noise reduction structure is used for being attached to the surface of a housing of a component with vibration excitation and comprises multiple layers of metal sheets; the number of the damping layers is multiple, and the multiple damping layers and the multiple metal sheets are arranged in a stacked mode. According to the noise reduction structure, the plurality of metal sheets and the plurality of damping layers are arranged and attached to the surface of the component with vibration excitation, so that the metal sheets and the damping layers are combined, the noise reduction structure has sound absorption, sound insulation and vibration reduction performance, and the effect of reducing radiation noise of the shell can be achieved; and the original part structure and material with a vibration source do not need to be changed.

The invention relates to the technical field of bridge structures and vision measurement, and discloses a structure vibration displacement recognition method, device and equipment and a storage medium, and the method comprises the steps: obtaining a vibration video of a to-be-recognized region, and carrying out the preprocessing of the vibration video, and obtaining an image sequence and a displacement proportion; deblurring the image sequence by adopting a space-time coupling method to obtain a clear image sequence and an optimized optical flow matrix; performing intermediate frame interpolation based on the clear image sequence and the optimized optical flow matrix to obtain a target image sequence; and performing structure vibration displacement identification based on the target image sequence and the displacement proportion to obtain vibration displacement. According to the method, deblurring is carried out through a space-time coupling method, motion blurring is effectively eliminated, noise is suppressed, a clear image sequence is used for frame insertion, the frame density of the image sequence is increased, the problem of large inter-frame displacement caused by insufficient video frame rate is relieved, vibration recognition is carried out on the target image sequence in combination with the displacement proportion, and physical displacement of structural vibration is obtained. And the displacement identification precision under complex conditions is improved.

The invention belongs to the technical field of automatic control, and particularly relates to a large-span ellipsoidal glass structure space noise reduction method based on sound field optimization, and the method comprises the steps: 1, transmitting a sample noise in an ellipsoidal glass structure through a sound wave generator, building a sound wave propagation model to describe the behavior of the sample noise in the ellipsoidal structure, an incident sound field is obtained; 2, analyzing the propagation characteristics of the sample noise in the ellipsoidal glass structure to obtain an acoustic structure coupling equation, and solving the acoustic structure coupling equation to obtain structural vibration displacement; 3, obtaining a sound radiation field of the ellipsoidal glass structure according to the structural vibration displacement; and step 4, combining the incident sound field and the sound radiation field, and performing spatial noise reduction by reflecting the sound pressure of the sound field. According to the method, the problems of poor adaptability and low control precision of a traditional noise reduction method in a non-uniform structure are effectively solved, and the noise reduction efficiency, the control sensitivity and the environment adaptability of a building space are remarkably improved.

The invention provides a wind resistance and vibration reduction system for large disc type solar thermal power generation, and relates to the technical field of solar thermal power generation, and the system comprises a wind load and structure monitoring module which is used for obtaining environment wind load data and structure response data in real time; the decision making module is used for making a wind resistance and vibration reduction strategy; the vibration reduction control module is used for adjusting the state of the vibration reduction structure; the wind regime prediction module is used for predicting a wind regime change trend; the state adjusting module is used for outputting a structure state adjusting instruction to the vibration reduction control module; and the fault detection and emergency module is used for identifying an extreme trend in the wind regime change trends and outputting an emergency protection instruction. According to the method, wind load and structural vibration characteristics are effectively extracted and analyzed, a wind resistance and vibration reduction strategy is dynamically formulated, an accurate vibration reduction control instruction is output, and the self-adaption and anti-interference capabilities of the system are improved; through fusion of ARIMA and LSTM prediction algorithms and combination of historical meteorological data and real-time wind load data, accurate prediction of short-term wind conditions is realized.

The invention relates to a structure vibration grading early warning method and device and a storage medium, and the method comprises the following steps: obtaining and preprocessing a structure vibration time sequence signal, firstly preprocessing the structure vibration time sequence signal, and dividing a data set; constructing a CNN-LSTM time sequence prediction model to carry out training optimization and short-term prediction; through historical data feature extraction and manifold dimensionality reduction, a vibration state mapping area is determined based on Gaussian mixture model clustering, and a posterior probability is calculated; a classification boundary is determined through maximum likelihood function iteration, and a multi-level early warning threshold value is established; and finally, three-level intelligent early warning of safety, warning and danger is realized by combining the dimension reduction point probability and the threshold value of the prediction data. Compared with the prior art, the intelligent multi-level early warning system is used for realizing high-dimensional time sequence prediction and dimension-reduction multi-level classification early warning in a high-efficiency and high-precision manner, and aims to establish the intelligent multi-level early warning system which can perform structure safety assessment more accurately and more timely.

The invention belongs to the technical field of power transmission tower structure damping, and discloses an inerter particle type power transmission tower damping device with a multidirectional control effect. The inerter is introduced into the particle damper, so that the total mass of the damping device is reduced, and the light weight of the device is achieved. And in consideration of the fact that the seismic response of the power transmission tower is multidirectional motion, the arrangement mode of the particles and the inerter is optimally designed, so that the damping effect of the device is further improved. The inerter can generate inertia force opposite to the structural vibration direction, and the dynamic damping effect of the particle damper is guaranteed while the number of particles is reduced. The inerter composed of the gear and the rack is small in dead weight, compact in structure and easy to install, a power transmission mechanism has low energy loss, the gear and the rack are in rigid meshing transmission, rapid rotation of the flywheel can be achieved, the inerter has high sensitivity to sensing of earthquake response of a power transmission tower, and the inerter is suitable for popularization and application. And large rotation inertia force can be generated in a limited space.