1753 results about "High frequency vibration" patented technology

The invention relates to the technical field of vibration and noise control, discloses a new energy automobile motor high-frequency vibration and noise active suppression system and method, and aims to solve the problems of poor high-frequency vibration and noise suppression effect, real-time performance, adaptive capacity and system cost complexity of an existing new energy automobile motor. The method comprises the following steps: acquiring and preprocessing motor operation state data, extracting high-frequency harmonic characteristics, and generating predicted harmonic characteristics in combination with working condition prediction; and superposing the self-adaptive compensation quantity to a motor voltage instruction, and driving an inverter through pulse width modulation to realize active suppression of high-frequency vibration and noise. The system comprises a data acquisition preprocessing module, a harmonic feature extraction module, a working condition sensing prediction module, a self-adaptive compensation quantity generation module and a pulse width modulation correction module. By the adoption of the technical scheme, efficient, real-time and self-adaptive suppression of high-frequency vibration and noise of the motor can be achieved, the level of the high-frequency vibration and noise is remarkably reduced, the driving comfort is improved, and the complexity and cost of the system are optimized.

The invention discloses an anti-jamming coal mining drilling machine with drilling and multidirectional impacting functions and a using method thereof.The anti-jamming coal mining drilling machine comprises a drilling machine body, a high-pressure driving mechanism is arranged on the drilling machine body through a multidirectional guide rail mechanism, and a drilling assembly is connected with the high-pressure driving mechanism; when the drilling machine works, the high-pressure driving mechanism drives the drill rod and the drill bit to conduct rotary drilling, the high-frequency transverse vibration mechanism synchronously generates transverse high-frequency vibration, the high-pressure driving mechanism drives the drill rod and the drill bit to conduct rotary drilling, and the high-frequency transverse vibration mechanism drives the drill rod and the drill bit to conduct rotary drilling. The friction force between the drill bit and rock is reduced, debris accumulation is prevented, efficient deslagging is achieved, when hard rock or drill jamming occurs, the longitudinal vibration impact mechanism triggers longitudinal vibration, impact and drill jamming prevention functions are achieved through cooperative work of transverse vibration and longitudinal vibration, the drill jamming problem under the complex geological condition is effectively solved, the drilling efficiency and equipment reliability are improved, and the drilling cost is reduced. The device is suitable for drilling operation of mining roofs and baseplates, sides and the like.

The invention provides a structure health early warning method and system based on space-time correlation characteristics and digital twinning, and relates to the technical field of data processing. The method comprises the following steps: acquiring multi-source heterogeneous data of a target structure; performing dynamic sampling alignment and wavelet packet decomposition on the multi-source heterogeneous data to extract energy features to obtain synchronous data, and performing abnormal data filtering on the synchronous data to obtain cleaned fusion data; performing wavelet decomposition on a high-frequency vibration signal in the fused data to obtain a damage impact feature, performing time sequence processing on low-frequency temperature data in the fused data to obtain a temperature time feature, and performing dynamic graph convolutional network processing on strain data in the fused data to obtain a spatial correlation feature; constructing an input vector; calculating a damage degree index; and according to the damage degree indexes, early warning grades are divided, and corresponding control instructions are triggered for different early warning grades. By implementing the technical scheme provided by the invention, the accuracy of structural health early warning can be improved.

The invention relates to a robot multi-frequency vibration composite suppression method and system based on inertia disturbance analysis. The method comprises the steps of obtaining dynamic operation data in the operation process of a robot; the operation data are input into an inertia disturbance analysis module, and a low-frequency vibration source caused by a mechanical structure and a high-frequency vibration source caused by a driving system can be accurately recognized; a disturbance frequency distribution diagram is generated, according to the distribution diagram, a self-adaptive filtering algorithm is adopted to suppress a high-frequency vibration source, a compensation algorithm based on model prediction control is adopted to suppress a low-frequency vibration source, the two strategies are cooperatively processed to generate a comprehensive control instruction, the advantages of the two algorithms are fully played, and effective composite suppression of multi-frequency vibration is achieved.

The invention relates to the technical field of hemispherical harmonic oscillator assembly, in particular to a welding method and device for an assembled hemispherical harmonic oscillator, and the device comprises a vibration welding platform and a clamping assembly located above the vibration welding platform; the vibration welding platform is used for bearing the sensitive base and providing a thermal field and a vibration field needed by welding, and the clamping assembly is used for clamping the center shaft and sending the center shaft into a center hole of the base. A heating unit and a composite vibration ultrasonic transducer are arranged in the platform, and the platform is configured to apply high-frequency vibration formed by superposition of vertical longitudinal waves and horizontal torsional waves to the base. The high-frequency vibration thixotropic effect is used for reducing the viscosity of the molten solder, the ultrasonic cavitation effect is used for forcibly discharging bubbles at the bottom of the blind hole, and the sound radiation pressure generated by the vibration standing wave field is used for driving the center shaft to achieve friction-free self-centering in the hole. According to the device, the problems of air bolt pseudo soldering and rigid assembly clamping stagnation in the traditional process are solved, and the assembly coaxiality and the connection strength of the harmonic oscillator are remarkably improved.

The invention discloses a GIS equipment shell vibration fault identification method and system based on a physical information neural network, and relates to the technical field of GIS fault diagnosis, and the method comprises the steps: collecting a vibration acceleration signal of the surface of a GIS shell; establishing a simplified physical model of the vibration system, and determining a control equation, initial conditions and boundary conditions of the vibration system; based on the HFT-MPINN or the RL-PINN, constructing a parameter inversion model; fusing physical constraint loss, experimental data loss and multi-parameter coupling loss of the vibration system to construct a composite loss function; training a parameter inversion model by using the vibration acceleration signal to obtain key physical parameters of the vibration system; time-frequency domain analysis and finite element simulation verification are combined, and the mechanical fault type and degree of the GIS equipment shell are recognized. According to the method, the modeling precision, the noise robustness and the multi-working-condition adaptability of the high-frequency vibration signals are improved, and reliable technical support is provided for intelligent fault diagnosis of GIS equipment.

The invention relates to the technical field of power transmission line sag measurement, in particular to a power transmission line sag measurement method based on laser point cloud data, which comprises the following steps: controlling a laser radar module and a multispectral imaging module to perform time-space synchronous data acquisition on a power transmission line area, and generating an auxiliary three-dimensional point cloud through a data fusion and compensation module; fusing the laser point cloud and the auxiliary three-dimensional point cloud by adopting an adaptive weighted average algorithm to generate a fused point cloud; performing dynamic filtering processing on continuous multi-frame point cloud data through a dynamic filtering module based on Kalman filtering and an established conductor dynamic model, filtering out high-frequency vibration components, and extracting a steady-state position point cloud of the conductor; the sag value of the power transmission line is calculated through the sag calculation module, so that cooperative sensing and data adaptive fusion of the multi-source sensor in a severe environment are completed, recursive filtering processing is performed on continuous multi-frame point cloud data, and a more real and more accurate data basis is provided for sag calculation.

The coal car hopper coal scraping device comprises a scraping plate, a sliding mechanism, a driving mechanism and a vibration mechanism, the coal car hopper coal scraping device drives the scraping plate to reciprocate in the discharging direction of a car hopper through the driving mechanism, and the coal car hopper coal scraping device is matched with the vibration mechanism arranged at the bottom of the scraping plate to form a double-cleaning structure. When the device works, the scraping plate can directly scrape residual coal on the inner wall and a bottom plate of the car hopper, meanwhile, the transmission assembly can move along with the scraping plate to drive the vibration rod to continuously knock the bottom plate of the car hopper in a reciprocating mode, the car hopper generates high-frequency vibration, and therefore adhesion of coal slime and the surface of the car hopper is effectively damaged; therefore, it is ensured that vibration energy is intensively transmitted to an adhesion area, deep cleaning of the car hopper is achieved, thoroughness of coal unloading is remarkably improved, the requirement for manual cleaning is reduced, and the car hopper has the advantages of being simple in structure, convenient to maintain and reliable in operation.

The invention discloses a multi-mechanical-dog cooperative intelligent inspection system and method based on an optimization algorithm. The system comprises a plurality of mechanical dogs and a task scheduling module, the task scheduling module schedules tasks and allocates the tasks to the corresponding mechanical dogs, and each mechanical dog executes the tasks according to the respective task; each mechanical dog comprises an SLAM positioning module, a path planning module, a mechanical dog moving platform, a double-spectrum holder, an image processing module, a posture synchronous control module and a vibration suppression module. The method has the advantage that path planning is more efficient and smoother, and navigation efficiency and safety are remarkably improved; the method has the advantage of high robustness of multi-modal fusion, and the reliability of target detection is greatly improved; the method has the advantage of high scheduling response speed, and ensures that the overall utility is optimal through cooperative distribution of multiple mechanical dogs; the vibration suppression effect is remarkable, and a clear image can be obtained under high-frequency vibration; the system has the advantages of high integration level and easy deployment, and the inspection efficiency and reliability are greatly improved.

The invention provides a self-powered vibration sensor based on multi-mode energy capture, and the sensor comprises a multi-mode vibration energy capture unit which comprises a piezoelectric ceramic piece and an electromagnetic induction coil-permanent magnet assembly, and the piezoelectric ceramic piece and the electromagnetic induction coil-permanent magnet assembly are installed on the surface of equipment in parallel, the piezoelectric ceramic is used for capturing 100-200Hz high-frequency vibration energy; the electromagnetic induction coil-permanent magnet assembly is used for capturing low-frequency vibration energy of 5-50 Hz; the energy acquisition power supply management circuit comprises a double-path rectification filter circuit, a first bidirectional DC-DC converter and a super capacitor / lithium battery hybrid energy storage unit; the first bidirectional DC-DC converter is connected with the two-way rectification filter circuit and the super capacitor / lithium battery hybrid energy storage unit at the same time, and is used for controlling charging and discharging of the super capacitor / lithium battery hybrid energy storage unit based on a preset dynamic impedance matching network and an energy priority scheduling strategy.

The invention relates to the technical field of digital twinning, and discloses a cultural relic virtual restoration simulation method and system based on digital twinning. The method comprises the following steps: constructing a cultural relic digital twinborn body fusing geometric morphology and physical attributes; collision contact between the virtual tool and the model is detected in real time; calculating stress, deformation and counter-acting force of the contact area through real-time finite element analysis; the reactive force is decomposed into joint torque and high-frequency vibration signals of multi-degree-of-freedom force feedback equipment, and force tactile feedback dynamically matched with material characteristics is provided; and physical parameters and geometric morphology of the model are updated according to the stress overrun condition, so that visual simulation of damage accumulation and fracture is realized. The system comprises a digital twinning construction module, a user interaction interface module, a physical simulation engine module, a force feedback rendering module and a model state updating module. Through a high-frequency closed-loop physical-force sense coupling mechanism, the authenticity, immersion and training reliability of virtual repair are improved.

The invention discloses purification equipment for a natural gas wellhead, and belongs to the technical field of natural gas. The air inlet pipe is assembled at the air inlet of the purification box; the air outlet pipe is assembled at the air outlet of the purification box; and a collecting frame and an annular frame are fixedly connected to the interior of the purifying box. The efficient self-cleaning of the filter screen is realized through the synergistic effect of the innovative rotary scraper blade and the vibration mechanism. The scraping plate can directly scrape impurities on the surface of the filter screen in the rotating process, the built-in reciprocating lead screw drives the scraping block to move up and down, and three-dimensional cleaning is formed. Meanwhile, through the linkage design of a fixed block and a movable rod, a spring B and a vibration rod are matched, so that the filter screen generates periodic vibration, and impurities attached to the deep layer are effectively shaken off. The dual cleaning mechanism of mechanical scraping and high-frequency vibration remarkably improves the filtering efficiency, and the problem of blockage caused by impurity accumulation of traditional purification equipment is solved.

The invention relates to the technical field of vehicle fault diagnosis, and discloses a vehicle anomaly detection system and method based on multi-modal data analysis, and the system builds a time zero point alignment relation between control domain data and a high-frequency vibration signal through a hardware synchronous triggering unit by using a level pulse; performing angular domain resampling on the non-stationary vibration signal by adopting a coarse-fine coupling phase locking technology and combining rotating speed polynomial fitting and instantaneous frequency ridge line extraction; the system constructs a virtual reference model by using a deep neural network, and deduces a predicted ideal angular domain characteristic spectrum of a current working condition according to a dynamic state vector; and on the basis, calculating the residual error of the actual spectrum and the predicted spectrum, removing noise through order correlation mask filtering, and judging abnormity based on the mahalanobis distance of a residual error vector and a statistical threshold value. The method effectively solves the problems that the signal is not stable and weak fault features are difficult to extract under the variable speed working condition, and improves the detection accuracy.

The invention relates to the field of litter collection equipment, in particular to litter collection equipment for forestry carbon sink metering, which comprises a treatment box, a feed inlet is formed in the top of the treatment box, a driving box, a first collection box and a second collection box are arranged on the treatment box, the treatment box is communicated with the first collection box and the second collection box, and a screening plate is arranged in the treatment box. A screen is arranged on the screening plate; shaking rods are arranged at the bottom of the screening plate, a shaking barrel is arranged in the treatment box, one end of each shaking rod extends into the shaking barrel to be provided with a shaking block, the shaking blocks are vertically and slidably matched with the inner side wall of the shaking barrel, and pressure relief holes are formed in the upper portion of the side wall of the shaking barrel; a classification assembly, an air supply assembly and a driving assembly are arranged in the driving box. The air supply assembly is driven by the driving assembly to operate so that air can be supplied into the shaking barrel, the screening plate is driven by the shaking blocks, the shaking rods and the pressure relief holes to shake periodically, high-frequency vibration of the screening plate can be achieved, and the screening penetration rate of the screening plate to fine particles such as humus is increased while blockage of the screen is reduced.

The invention relates to the technical field of MEMS radiator processing, in particular to a processing method of an MEMS radiator, which comprises the following steps of: 1, manufacturing an air inlet grid opening, a gas advection bin body, a vibration upper opening binding ring, a piezoelectric vibrator, a flexible circuit board, a vibrator amplification layer, a gas beam dense hole layer and an impact platform according to the size; 2, the flexible circuit board and the piezoelectric vibrator form a circuit piezoelectric vibrator through reflow soldering; 3, the air inlet advection bin body, the vibration upper opening binding ring, the circuit piezoelectric vibrator, the vibrator amplification layer, the air beam dense hole layer and the impact platform are assembled from top to bottom. According to the machining method of the MEMS radiator, firstly, solder paste is printed on a flexible circuit board steel mesh to lead welding spots, the flexible circuit board steel mesh and the piezoelectric vibrator are placed into a clamp together to be fixed, and then the flexible circuit board steel mesh is welded to the piezoelectric vibrator; the circuit piezoelectric vibrator prepared by the method is reliable and durable, and welding spots are not easy to fall off, so that the piezoelectric vibrator can have better stability in high-frequency vibration.

The invention provides a leading pretreatment device for pumping and cleaning clustered marine organisms and floaters, the leading pretreatment device comprises a buoyancy platform, a butt joint structure, a controller and a dispersion assembly, a treatment cabin is arranged in the middle of the buoyancy platform, and the dispersion assembly is composed of a turbulent flow triggering assembly and a liquid spraying assembly; impurities are collected in a suction mode, the device is provided with self-buoyancy and a modular structure and can be rapidly in butt joint with a tail bag of an interception net, the optimal suction posture is achieved, and the core innovation of the device is that a dispersing assembly and a cutting device are sequentially arranged in the suction direction, material distribution is achieved through a rotating cylinder and a conical column, and high-frequency vibration and a reverse micro-impact mechanism are combined; the block mass structure is effectively damaged; by adopting the unique design of the fixed impeller and the rotary volute, an annular liquid curtain is formed when the barrel rotates, so that the winding property and the overall strength of disaster-causing objects can be reduced, the disaster-causing objects are more easily scattered and cut by subsequent components, the subsequent mechanical load is reduced, the problem of blockage of a flow channel is solved, and the energy consumption and the abrasion of equipment are reduced.

The invention relates to the technical field of wind power generation, and discloses a fan blade deformation degree detection method and system, and the method comprises the steps: obtaining laser radar point cloud data, an adaptive image and a high-frequency vibration signal of a fan blade; generating a real-time three-dimensional model of the fan blade; calculating the displacement of the preset key feature points, and generating a global deformation thermodynamic diagram; constructing a dynamic attractor sequence based on the high-frequency vibration signal, and extracting multi-scale fingerprint features through the dynamic attractor sequence; and according to the global deformation thermodynamic diagram, the deformation degree of the fan blade is determined in combination with curvature change, and based on a comparison result of the multi-scale fingerprint features and a preset fingerprint threshold value, a micro-deformation area is positioned and damage early warning is realized. According to the method, the problems of poor data quality, low fusion degree, inaccurate deformation quantification, early warning lag and the like in the prior art are effectively solved, the detection precision, efficiency and reliability are remarkably improved, and comprehensive technical support is provided for preventive maintenance of wind power equipment.

The utility model discloses an ultrasonic wire feeding additive manufacturing device which comprises a base plate, a tungsten electrode welding gun, a wire feeder and an ultrasonic vibration system. The tungsten electrode welding gun, the wire feeder and the ultrasonic vibration system are jointly connected with a positioning rod, and the positioning rod is movably arranged above the base plate. The ultrasonic vibration system is located on one side of the wire feeder and used for generating high-frequency vibration signals and transferring the generated high-frequency signals to a welding metal wire. According to the ultrasonic wire feeding additive manufacturing device, ultrasonic vibration is applied to the welding metal wire, so that a high-frequency vibration signal is transmitted into the molten pool through the welding metal wire, cavitation is generated in the molten pool, beta columnar crystals generated in the solidification process can be effectively broken, and the production efficiency is improved. And the anisotropy problem of the internal structure and the mechanical property in the wire feeding direction and the stacking direction is solved, that is, the performance of an additive manufacturing part is improved.

The invention relates to the technical field of state monitoring and fault diagnosis of an air conditioner compressor, and particularly discloses a multi-mode sensing analysis method for sensing abnormal operation of a household air conditioner. The compressor is controlled to execute V-shaped frequency change in the low-load or self-checking period, and an active excitation signal is generated; synchronously extracting energy change contours of the current and vibration signals, calculating a cross-correlation value, and comparing the cross-correlation value with a health reference to judge whether electromechanical coupling abnormity exists or not; and if the abnormity exists, abnormal characteristics are further analyzed to distinguish internal mechanical state degradation, external installation abnormity or abnormity to be checked, and corresponding alarms are triggered. Through active excitation and bimodal synchronous analysis, the ability to excite and capture early faults is enhanced, the fault identification precision is improved, the professional detection cost is reduced, and state monitoring is seamlessly integrated into daily operation of the air conditioner.

The invention relates to the technical field of fiber laser cutting, in particular to a high-precision fiber laser metal plate cutting method and system, and the method comprises the following steps: obtaining an original capacitance value of a capacitive induction ring; the original capacitance value of the capacitive induction ring is separated into an average capacitance value and a high-frequency vibration signal; extracting a vibration amplitude from the high-frequency vibration signal; according to the non-linear relation between the capacitance value and the distance of the capacitive induction ring, the vibration amplitude and the average capacitance value, direct current deviation caused by high-frequency vibration is calculated; subtracting the direct current deviation from the average capacitance value to obtain a corrected average capacitance value; and controlling the distance between the nozzle and the metal plate according to the corrected average capacitance value. And the cutting quality and the size precision can be improved.

The invention provides a power transmission line operation risk prediction method based on big data mining, and the method comprises the steps: collecting the high-frequency vibration data and environment parameters of a bolt connection part of a power transmission line tower in real time, and generating a time sequence data set containing the vibration frequency, the amplitude and the temperature; a Fourier transform algorithm is adopted for the time sequence data set, a dominant frequency component of the vibration frequency is extracted, linear correction is conducted on the vibration frequency according to the thermal expansion coefficient and the temperature of the bolt material, and a frequency feature set is generated; constructing a bolt state evaluation model according to the preliminary feature set and the stress distribution feature set, evaluating the bolt state, and outputting the bolt pre-tightening force attenuation degree; and according to the state score of each bolt output by the optimized state evaluation model, calculating the overall load sharing and vibration frequency drift degree of the bolt joint, and generating a load sharing feature set.

The invention relates to the technical field of industrial automation control, in particular to a boiler combustion stability intelligent control method based on a self-adaptive neural network, and the method comprises the steps: collecting multi-source heterogeneous data of a boiler system, the multi-source heterogeneous data comprises a high-frequency vibration data flow and a low-frequency process data flow, carrying out space-time alignment preprocessing on the multi-source heterogeneous data; and calculating a self-adaptive penalty factor based on the current load characteristics and the vibration energy, and performing variational mode decomposition on the high-frequency vibration data stream by using the self-adaptive penalty factor to obtain a combustion characteristic component. According to the method, the gain of the neural network controller is dynamically adjusted through the comprehensive stability risk index, smooth switching of a control strategy between steady-state fine adjustment and fault strong control is achieved, and therefore the fast inhibition capacity for combustion instability is remarkably improved while the steady-state precision of a combustion system is guaranteed.

The present application relates to the technical field of wood door processing, and discloses a multi-angle punching device for wood door processing, which comprises a processing table, a drill bit part movable along the X-axis, Y-axis and Z-axis directions is installed on the processing table, and the drill bit part comprises a drill bit, a pressing ring, an angle adjusting part, a pressing driving part and a locking assembly. According to the present application, with the drill bit moving downward, the locking body of the pressing ring is replaced, the pressing driving part is lowered, and the locking assembly continues to limit the position of the pressing ring, so that stable pressing force is formed on the wood door during drilling, and the verticality of the hole formed by drilling is prevented from being deviated due to the high-frequency vibration of the drill bit during drilling.

The utility model discloses a vertical vibration reduction support based on piezoelectric energy consumption for bridge engineering, which comprises a base plate, a lower seat plate arranged in the base plate, a middle seat plate arranged on the lower seat plate, an upper seat plate arranged on the middle seat plate, and a vibration reduction disc arranged in the base plate and used for vertical vibration reduction. The upper end of the damping disc makes contact with the lower seat plate, a piezoelectric energy dissipation assembly is arranged between the damping disc and the base plate, the damping disc is in an arch shape, the arc face of the damping disc is connected with the pressure bearing block, and the plane of the lower end of the pressure bearing block is connected with the piezoelectric energy dissipation assembly. The vibration reduction disc is made of a spring steel material and adopts an arch-shaped structure, so that stable vertical support can be provided for an upper structure under the action of static force. Vibration reduction and energy consumption of the vertical support are achieved through the piezoelectric energy consumption assembly, the piezoelectric energy consumption assembly converts high-frequency vibration mechanical energy of the support into electric energy through the two piezoelectric ceramic plates, the energy consumption efficiency is high, the working temperature range is wide, and the adaptive capacity is high.

The invention relates to the technical field of soil preparation and fertilization agricultural machinery, in particular to an intelligent centralized supply fertilization soil preparation machine and a using method.The intelligent centralized supply fertilization soil preparation machine comprises a fertilizer box, the fertilizer box is provided with a fertilization assembly, and the fertilization assembly comprises a fertilizer distribution amount adjusting mechanism and a centralized air conveying mechanism; the fertilizer distribution amount adjusting mechanism is used for adjusting the fertilizer output from the fertilizer box, and the centralized air conveying mechanism is used for conveying the fertilizer subjected to fertilizer distribution; the stubble cleaning and soil crushing assembly is used for crushing obstacles in front of the advancing direction; the soil loosening and fertilizing assembly comprises a shallow loosening and fertilizing mechanism and a deep loosening and fertilizing mechanism; the vibration anti-blocking assembly comprises a vibration energy conversion mechanism and a high-frequency vibration mechanism; the backfilling assembly comprises a soil moisture filling mechanism and a pressing mechanism; the system has the advantages of being intelligent, multifunctional and high in reliability, and the comprehensive efficiency and quality of fertilization and soil preparation work are effectively improved.

The invention provides a bridge anti-disturbance concrete material and a preparation method thereof, and belongs to the technical field of building materials, the bridge anti-disturbance concrete material comprises a gel material, a reinforcing material and a functional additive; the reinforcing material comprises fibers, modified styrene butadiene rubber particles and self-repairing capsules; the self-repairing capsule comprises a water phase and an oil phase, the water phase contains nano calcium oxide, and the oil phase contains an HDI-ethylenediamine copolymer. The invention provides a bridge anti-disturbance concrete material and a preparation method thereof. The adaptability of concrete to high-frequency vibration and extremely low-temperature environments is improved.

The invention relates to the technical field of industrial equipment control, and discloses a dynamic maintenance management method and system based on the full life cycle of test equipment, and the method comprises the steps: obtaining a time domain vibration signal and torque current data during the operation of the equipment through a high-frequency vibration sensor and a current loop feedback interface; calculating an accumulated damage gradient parameter representing the physical recession degree of the mechanical transmission chain; the parameters are input into a preset damage stress coupling model to solve the maximum radial impact force allowed to be borne by the damaged part, and the impact force is mapped into a dynamic capability boundary for carrying out logic constraint on the motion planning instruction; and the motion controller reconstructs an ideal speed curve by using the boundary in an interpolation period, and reshapes a torque load spectrum output to a servo motor by reducing the jump of acceleration and deceleration sections. The problem that an existing static control strategy is mismatched with the dynamic aging characteristic of equipment is solved.

The invention provides a welding device for aluminum alloy profile machining, and belongs to the technical field of welding devices.The welding device comprises a rack, a welding head, a controller and a profile pipe fitting and further comprises a positioning overturning assembly, an oscillation cooling assembly and a limiting counting assembly; four joints of the profile can be directly welded, re-clamping is not needed, and the welding period is shortened; when a joint is welded, a ball of the oscillation cooling assembly is pushed by gas to make contact with the surface of a profile, a piston rod is reset through gas pressure building-pressure relief to form high-frequency vibration, on one hand, the welding seam bubble rate is reduced, and on the other hand, the aluminum alloy molten pool fluidity is enhanced; vibration is generated to continuously act on a welding seam, residual stress is released, and profile deformation caused by stress concentration can be avoided in cooperation with uniform cooling; in addition, the gas discharged from the vent groove is not wasted, is guided into the gas collecting cylinder and is directionally blown to the welding seam through the gas spraying pipe, the welding seam is cleaned, the waste heat of the welding seam is rapidly taken away, and the protective inert atmosphere is formed by continuous gas blowing.

The application relates to a UHPC material for a bridge expansion joint and a preparation method thereof, and comprises the following steps: S2, nanometer carbon fibers are stirred with residual silica fume in a premixing bin at high speed for 2 minutes, so that the silica fume wraps the nanometer carbon fibers and prevents electrostatic agglomeration; after premixing, the mixed powder is sequentially sent into a vortex chamber and an ultrasonic atomization cavity through compressed airflow, and the fiber flows through a piezoelectric ceramic array high-frequency vibration to make the fiber bundle dissociate into a single state; S3, the atomized fiber aerosol passes through a porous diffuser and is sprayed into a planetary mixer through a second feeding port at a certain angle to participate in the mixing in step S1; and S4, steel fibers are sent into a vibrating screening box, and the adhered steel fiber groups are separated through high-frequency vibration, and the separated steel fibers enter the planetary mixer through a third feeding port to participate in the mixing in step S1. The steel fibers and the nanometer carbon fibers uniformly distributed in the UHPC material form a double anti-cracking mechanism, and the impact toughness of the UHPC material is improved.

The utility model discloses an unmanned aerial vehicle with a deicing device, and relates to the field of deicing of high-voltage overhead conductors, the unmanned aerial vehicle is provided with the deicing device, the deicing device comprises a microwave generator and an ultrasonic generator which are oppositely arranged, and a power transmission line is located between the microwave generator and the ultrasonic generator. Microwaves and ultrasonic waves emitted by the microwave generator and the ultrasonic generator face the power transmission line. According to the utility model, the ice layer is cracked by utilizing high-frequency vibration heating generated by ultrasonic waves and microwaves, so that the purpose of removing the ice layer is achieved. According to the method, a power grid line does not need to be contacted, and line damage possibly caused by direct impact is avoided.