2617 results about "Vibration amplitude" patented technology

A method for diagnosing rotor rub-impact in a rotating machinery based on vibration signal deconstruction and frequency modulation characteristic anti-noise enhancement, including: converting, based on two-stage integration transformation and high-pass filtering, vibratory acceleration signals from a rotating machinery device into vibratory displacement signals; performing targeted extraction on a rotating frequency component therein based on an improved variational mode decomposition method; calculating and estimating instantaneous fluctuation characteristics of a fundamental frequency of the extracted rotating frequency component using a quadrature-derivative-based normalized Hilbert transform to obtain an instantaneous frequency; inputting a calculated instantaneous frequency sequence into an optimum stochastic resonance system for anti-noise enhancement of intrawave frequency modulation characteristics; and processing FFT on an instantaneous frequency of intrawave frequency modulation characteristics after anti-noise enhancement, and diagnosing and identifying a rotor rub-impact fault of the rotating machinery based on a distribution characteristic of harmonic amplitudes related to a rotor rotating frequency.

An online testing and diagnosis method for vibration characteristics of blades of wind turbine is disclosed. Steps of testing and diagnosing blade vibration comprises: S1: installing vibration sensors at key positions of a blade, designing an adaptive data acquisition strategy, and automatically adjusting a sampling rate according to a vibration amplitude and environmental changes monitored in a real time; S2: extracting key features reflecting health status of the blade from massive data, and evaluating an impact of wind speed, temperature, and environmental factors on vibration characteristics; S3: designing a customized deep learning model for damages of the blade of a wind turbine, extracting a time sequence data and a vibration signal, identifying a damage among different types of damages and evaluating a damage degree; and S4: automatically adjusting a warning threshold based on a real-time data stream and a historical trend, and drafting a preventive maintenance plan.

The invention relates to the technical field of motion control, in particular to a CNC machine tool motion control system which comprises a cutting force feedback monitoring module, a multi-axis load coordination module, a spindle vibration suppression module and a dynamic path optimization module. According to the method, the cutting force fluctuation of each axle can be accurately mastered by monitoring the axle cutting force in real time and analyzing the load change, the load and the feeding speed of the axle are adjusted according to real-time feedback, machining errors caused by uneven loads are reduced, and the vibration amplitude and frequency can be calculated and the rotating speed of the main shaft can be adjusted by monitoring the vibration data of the main shaft in real time. The resonance phenomenon is effectively restrained, the machining stability is improved, meanwhile, dynamic path optimization is conducted, the dynamic response problem caused by improper path setting is avoided by evaluating the dynamic response of a machine tool and adjusting the machining path, the cutting direction and the feeding speed in real time, the machining precision and stability are remarkably improved, and the machining efficiency is improved. And the complex machining environment adaptability of the machine tool is improved.

The invention relates to the technical field of industrial monitoring, in particular to a fan running state comprehensive monitoring system and a noise and current detection method thereof, and the system comprises a noise data acquisition module, a vibration noise correlation analysis module, a running current acquisition module, an abnormal current detection module, an equipment fault diagnosis module and a performance degradation prediction module. According to the method, the sound data are collected, the frequency and amplitude changes are analyzed, the types of various sound sources are recognized, abnormity caused by mechanical parts is found in the early stage, association analysis of vibration data and sound data is combined, understanding of the physical state of the fan is enhanced, and by monitoring current data and the fan blade rotating speed in real time, the fan blade rotating speed can be accurately detected. Abnormal detection of the current data and evaluation of the current stability are realized, a data basis is provided for fault diagnosis, the operation efficiency and the performance degradation trend of the fan are evaluated in combination with the current data, the service life and the maintenance period of equipment are effectively predicted, and the operation strategy and the maintenance plan of the fan are optimized.

The invention relates to the technical field of detection structures, in particular to a machine tool spindle dynamic balance testing device which comprises an eccentric vibration unit and an amplitude detection unit, the eccentric vibration unit can drive a shaft body to vibrate, and the amplitude detection unit can detect the vibration amplitude of the shaft body; the eccentric vibration unit comprises a supporting ring installed on the shaft body and a rotating body eccentrically rotating on the supporting ring. The shaft body is made to be static, the shaft body is driven to vibrate through rotation vibration of the eccentric vibration unit, and therefore the amplitude of the shaft body can be increased under the condition that the center of gravity of the shaft body deviates, and whether dynamic balance of the shaft body is qualified or not can be judged by detecting whether the amplitude meets the requirement or not. Therefore, the danger in the operation process is greatly reduced, and a safer, simpler, more convenient and more efficient dynamic balance test solution for the machine tool spindle can be provided.

The invention relates to the technical field of agricultural robot motion control, in particular to a mechanical arm posture stable adjusting method based on vibration feedback, which comprises the following steps: S1, collecting a vibration signal of an end effector of a mechanical arm in real time; s2, frequency domain analysis and amplitude-phase decomposition are conducted on the vibration signals, and vibration characteristic parameters of the mechanical arm in the X / Y / Z axis direction are extracted; s3, generating a multi-axis vibration vector in combination with the terrain inclination angle data; s4, attitude compensation parameters of all the joints are calculated; s5, a mechanical arm joint angle adjusting instruction is generated according to the posture compensation parameters; and S6, circularly executing the steps S1 to S5 until the vibration amplitude is lower than a preset threshold value. According to the method, the multi-axis vibration characteristics are extracted in real time, the joint compensation angle is calculated through the anti-offset and anti-overturning matrix, rapid and stable attitude control of the mechanical arm in the high-frequency disturbance environment is achieved, and therefore the tail end positioning precision and the overall operation reliability are remarkably improved.

The invention discloses a variable-frequency ash removal device for improving photovoltaic power generation efficiency, and a control system of the variable-frequency ash removal device can dynamically adjust the output frequency and amplitude of a signal generator according to cleaning requirements. Particularly, when different types of dust are cleaned, the system can automatically adjust the vibration frequency, so that the cleaning process is more accurate. Large-particle dust is effectively removed through low-frequency and large-amplitude vibration, and small-particle dust is finely cleaned through high-frequency micro-vibration. The dynamic adjustment of the frequency and the amplitude ensures that each dust type can be thoroughly removed, and the problem of poor effect caused by fixed frequency in a traditional cleaning method is avoided.

The invention relates to the technical field of industrial robots, in particular to an industrial robot automatic testing method and system, and the method comprises the following steps: based on a robot communication interface, collecting a communication signal of a robot, measuring the delay of signal transmission, verifying the integrity of transmission data, and evaluating the quality of a communication link; and generating a signal quality analysis result. According to the method, accurate evaluation of the communication quality of the robot and construction of a path planning task and a dynamic test environment are realized by collecting communication signals, deep evaluation of the path planning capability of the robot is provided, and measurement of the execution precision of the robot is realized by combining deviation identification of an actual execution path and a target path; a sensor is used for collecting vibration data under various loads, abnormal vibration of the robot under load changes is monitored in real time by analyzing vibration amplitude and frequency changes, the stability and performance of the robot under various load conditions are diagnosed, and the load bearing capacity of the robot is judged.

The invention discloses an intelligent image classification method based on big data, and relates to the technical field of image classification, and the method comprises the steps: image feature extraction: employing a deep learning algorithm to integrate and classify the extracted features, the method has the advantages that information of two different physical quantities can be integrated into a visual representation by constructing a vibration and temperature data fusion time-frequency diagram, and vibration data generally reflect dynamic characteristics of a mechanical system, such as running balance of a bearing, collision or friction between parts and the like; temperature data is related to energy loss, heat conduction, potential fault heating and the like, associated information of mechanical vibration and heat change in time and frequency can be captured at the same time through fusion of a time-frequency diagram, a more comprehensive view angle is provided for equipment state monitoring and fault diagnosis, and when a fault occurs, the fault diagnosis accuracy is improved. Vibration and temperature signals often change at the same time, and when a bearing has a local abrasion fault, the vibration amplitude may be increased.

The invention discloses a simulation method for abrasive particle vibration machining based on reaction molecular dynamics, and relates to the technical field of reaction molecular dynamics, a vibration auxiliary model of a Si surface of 4H-SiC is established, the process of vibration auxiliary chemical mechanical polishing of diamond abrasive particles in the Z-axis direction is simulated, the Si surface model of the 4H-SiC is consistent with an actual machining surface of silicon carbide, and the abrasive particle vibration machining simulation method is suitable for the actual machining surface of silicon carbide. The vibration direction of the vibration auxiliary simulation is consistent with the motion direction of the abrasive particles in the actual chemical mechanical polishing process, so that the acting force and motion trail simulation of the diamond abrasive particle model in the polishing process are more real, and the simulation process is closer to the actual machining process; the atom removal mechanism of the Si surface of 4H-SiC under the conditions of different vibration amplitudes and frequencies and different scratching depths can be researched, so that a chemical mechanical polishing technology is conveniently optimized by ultrasonic vibration, and the polishing quality of silicon carbide is further improved; the technical problem that an existing vibration auxiliary model based on reaction molecular dynamics simulation cannot effectively optimize the chemical mechanical polishing process of silicon carbide is solved.

The invention provides an aeolian vibration analysis method for a power transmission line steel tube tower, and the method comprises the steps: S1, obtaining the operation monitoring data of the power transmission line steel tube tower, and historical wind speed meteorological data; s2, sensitivity analysis is carried out on a plurality of different parameters possibly influencing the amplitude of the tower, and main parameters causing vortex-induced vibration response of the steel tube tower component are determined; s3, simulating a typical steel tube power transmission tower component model by using the refined three-dimensional finite element model, and analyzing the natural vibration frequency, the vibration mode curve, the critical wind speed and the maximum amplitude of the component; and S4, establishing vortex-induced vibration models of a single steel pipe and adjacent steel pipes, realizing a dynamic grid effect in the aeolian vibration process based on a nested grid technology, developing a fluid-solid coupling calculation UDF program in the vortex-induced vibration process, and embedding the fluid-solid coupling calculation UDF program into FLUENT software to reproduce a vortex-induced vibration response process of a complex working condition. According to the method, theoretical analysis and numerical simulation are combined to effectively solve the problem of aeolian vibration response evaluation of the high-voltage transmission line steel tube tower, and the calculation efficiency and precision are high.

The embodiment of the invention provides a slope instability mechanism simulation experiment device under the earthquake and rainfall coupling effect, and relates to the technical field of earthquake simulation equipment. The slope instability mechanism simulation experiment device under the earthquake and rainfall coupling effect comprises a model storage mechanism, a driving transmission mechanism and an adjusting mechanism, the driving transmission mechanism is located at the lower end of the model storage mechanism and enables a model in the model storage mechanism to vibrate, and the adjusting mechanism is located at the lower end of the model storage mechanism and enables the model in the model storage mechanism to vibrate. The adjusting mechanism is located at the lower end of the model storage mechanism and located in the middle of the transmission mechanism, and the transmission mechanism moves upwards and drives the adjusting mechanism to rotate. According to the device, the matching position and state of the cam and the vibration convex plate can be accurately changed, so that the vibration amplitudes of the slope toe, the slope top and the two sides of the slope body of an experimental model are accurately adjusted, the requirements for slope vibration amplitude simulation under different experimental conditions are met, and the influence of the vibration amplitudes on a slope instability mechanism can be deeply researched.

The invention relates to an optimization design method for a multi-fulcrum elastic ring supporting structure of an aero-engine rotor system, and belongs to the technical field of aero-engine vibration control and rotor dynamics simulation. Firstly, a finite element or lumped unit model is adopted to establish a coupling kinetic equation of a rotor and an elastic ring, and fluid-solid coupling factors such as inner and outer oil films of the elastic ring and orifice flow are considered; then, through critical rotating speed and vibration harmonic response analysis, sensitivity evaluation is carried out on rigidity and damping characteristics of different supporting positions, and target vibration reduction modes corresponding to all fulcrums are identified; then, coupling simulation and multi-objective optimization are carried out around the number of bosses of the elastic ring, the height of the bosses, the damping aperture, the thickness of a thin wall and other key structure parameters, and the optimal design meeting the vibration reduction requirement of a rotor system and the strength reliability requirement of the elastic ring is obtained through iteration; and finally, an optimization result is applied to structure manufacturing and assembling. The method can effectively reduce the vibration amplitude of the rotor when the rotor crosses the multi-order critical rotating speed.

The invention discloses an electric power state stability monitoring system and method, and relates to the field of electric power engineering and energy management, and the method comprises the steps: capturing an abnormal sound signal through a high-sensitivity ultrasonic sensor, collecting amplitude data through the sensor, and fusing the abnormal sound signal and the amplitude data to obtain an ultrasonic signal data set; the information is transmitted to the central processing unit; after the ultrasonic signal data set is transmitted to the central processing unit, the ultrasonic signal data set is preprocessed, unique modes of the potential fault modes are extracted through a deep learning algorithm, and a feature report is generated; and training a deep learning model by using the feature report and historical data, identifying a power grid topological structure and a change rule, collecting power grid operation data by using a sensor, and inputting the data into the trained model. Abnormal sound signals are captured through the high-sensitivity ultrasonic sensor, amplitude data are collected, the abnormal sound signals and the amplitude data are fused to form the ultrasonic signal data set, and precise detection of tiny anomalies in the power equipment is achieved.

The invention provides a feed mixing process uniformity dynamic evaluation and parameter adjustment method, and relates to the technical field of data processing, and the method comprises the steps: building a material characteristic matrix according to raw material characteristic data; correspondingly storing the material characteristic matrix and initial operation parameters of the mixing equipment to generate first mixing control data; in the mixing process, collecting local vibration amplitudes and temperature rise rates at different spatial positions, and combining the local vibration amplitudes and the temperature rise rates with the first mixing control data; calculating the vibration amplitude distribution difference in adjacent sampling periods in the feed mixing treatment process to obtain a spatial fluctuation index; when the spatial fluctuation index is continuously reduced and the temperature rise rate is periodically and suddenly increased, generating local accumulation indication data, and triggering short-time acceleration and inversion operation; executing feed mixing treatment, and generating a mixing termination signal when the spatial fluctuation index change rate of three continuous sampling periods is lower than a preset fluctuation threshold value; according to the invention, autonomy and accuracy of feed mixing uniformity adjustment are improved.

The invention discloses a distributed sound wave sensing monitoring device and method for sea wave impact force. The device comprises a vibration sensing optical fiber, an anchoring unit, a distributed optical fiber sound wave sensing demodulator, a vibration signal processing unit and a sea wave impact force inversion unit. The method comprises the following steps: fixing the vibration sensing optical fiber on a coast impacted by sea waves through the anchoring unit; the distributed optical fiber sound wave sensing demodulator transmits a monitored sea wave vibration signal to the vibration signal processing unit for preprocessing; the vibration signal processing unit transmits the processed optical fiber vibration amplitude signal to the sea wave impact force inversion unit; obtaining an optical fiber vibration amplitude signal and sea wave impact force training data set through a calibration experiment, and constructing an attention convolutional neural network model for training; and the sea wave impact force inversion unit establishes a corresponding relation between the optical fiber vibration amplitude signal and the sea wave impact force by using an attention convolutional neural network model to obtain the real impact force of the coast sea wave. According to the invention, accurate monitoring of the coastal wave impact force is realized.

The invention belongs to the technical field of flange detection, and particularly relates to a flange forge piece defect detection device and method.The flange forge piece defect detection device comprises a rotary clamping mechanism, a defect detection module, a force control executing mechanism, a marking mechanism and a control module, the defect detection module comprises an eddy current sensor and an ultrasonic probe, and the force control executing mechanism and the marking mechanism are also integrated on a shell; the control module is mounted in the electric control box; the eddy current sensor is used for monitoring a voltage fluctuation value in real time and generating a surface crack density coefficient through the control module; and the ultrasonic probe is used for monitoring an echo amplitude value in real time and generating an internal defect attenuation coefficient through the control module. By integrating the eddy current sensor and the ultrasonic probe, detection of surface cracks (voltage fluctuation monitoring) and internal defects (echo amplitude analysis) of the flange forge piece is synchronously achieved, the problem that the surface quality and the internal quality cannot be considered in a traditional single detection mode is solved, and the safety risk caused by missing detection of the defects is reduced.

The invention relates to the technical field of steel reinforced concrete vibration testing, and discloses a method and system for testing the vibration performance of a steel reinforced concrete frame structure, and the state of the steel reinforced concrete frame structure is judged through vibration amplitude and frequency changes under the conditions of different excitation modes, measurement point positions, sampling frequencies, collection durations and the like. By accurately measuring and analyzing the change of the damping ratio, potential damage or performance change of the structure can be found in time, and a powerful basis is provided for safety assessment and maintenance of the structure; the signal is decomposed and analyzed based on Hilbert-Huang transform, the internal composition and the change rule of the structure vibration signal can be analyzed more finely, and the method has advantages for identifying weak vibration characteristics and early damage signs of the structure in a complex stress state, so that the test structure can be evaluated in time in the early damage stage, and the test accuracy is improved. And therefore, coping treatment can be conveniently carried out.

The invention relates to the technical field of vibration measurement, and particularly discloses a guide plate online dynamic amplitude anti-deviation laser monitoring device which comprises a fixing frame, a mounting groove is formed in the outer surface of the upper end of the fixing frame, a movable rod used for supporting a guide plate is fixedly connected to the inner side of the mounting groove, and a limiting assembly is arranged on the outer side of the movable rod. The limiting assembly comprises a notch formed in the outer surface of the guide plate, a limiting sleeve is fixedly connected to the outer surface of the movable rod, a pressing crack is formed in the outer surface of the limiting sleeve, and the limiting sleeve penetrates into the notch. By arranging the limiting assembly, when the position of the guide plate deviates, a limiting sleeve can play a role in correcting the deviation of the guide plate, so that the position of the guide plate is always in a proper position, and the influence of the position deviation of the guide plate on the measurement precision of the vibration amplitude of the guide plate can be reduced to a certain extent; and the monitoring error can be reduced to improve the monitoring precision.

The invention relates to the technical field of mechanical fault diagnosis, in particular to a rotating machine fault diagnosis method and system based on a time sequence large model, and the method comprises the following steps: extracting a time sequence value of a vibration signal, measuring the frequency and amplitude fluctuation of a time period, and recognizing an extreme point based on the operation data of a rotating machine; and calculating the fluctuation amplitude difference between the extreme point and the adjacent segment, measuring the time interval between the amplitude peak values, and generating the frequency change segment amplitude. According to the method, the time sequence value of the vibration signal is extracted, frequency and amplitude fluctuation extreme point recognition and adjacent segment amplitude difference calculation are combined, the fine-grained analysis capability of the dynamic characteristics is improved, key frequency point time distribution and amplification value change are detected, and amplitude fluctuation time interval and frequency amplification correlation analysis is combined; deep analysis of frequency and amplitude interaction characteristics, dynamic change characteristic positioning of an interaction ratio and rate quantification are realized, and diagnosis accuracy and evaluation depth are comprehensively improved.

The invention discloses a feed proportion abnormity identification method and system, and particularly relates to the field of feed proportion abnormity identification, and the method comprises the steps: extracting the disturbance variables of vibration amplitude, feeding speed and voiceprint waveform in multi-source disturbance data, constructing the disturbance time sequence expression of a frequency, form and amplitude triple feature structure, and carrying out the recognition of the vibration amplitude, the feeding speed and the voiceprint waveform. Extracting a disturbance characteristic track with center characterization capability in a cluster through atlas clustering, and writing the disturbance characteristic track into a track benchmark expression library; constructing an aligned trajectory expression set by analyzing the frequency domain structure and the time slice expression of each channel signal in the current batch of disturbance data and combining the binding relationship between the batch number and the formula number; by constructing an offset matching and track consistency judgment mechanism based on multi-source disturbance track expression, structured recognition and path logic verification of a formula drift phenomenon are realized, and the problem that the actual feed nutrition state is misjudged due to the fact that real proportion offset caused by residual feed cannot be recognized is solved.

The invention discloses a camera SFR testing device with a focal length adjustable function, and particularly relates to the technical field of camera SFR testing, which comprises a machine body, an image analyzer used for analyzing an image acquired by a camera and performing SFR testing, a mounting seat used for mounting the camera, and a measurement pattern generator used for providing a measurement pattern, a central processing unit is arranged on one side of the image analyzer, a position adjusting structure and a clamping stabilizing mechanism are arranged on the inner side of the machine body, and the clamping stabilizing mechanism is used for clamping and fixing a camera lens so as to prevent the camera lens from vibrating; the system further comprises a lens position capturing module, a vibration amplitude acquisition module and a vibration frequency acquisition module. The problem that the telescopic camera is out of focus due to lens vibration in the focal length adjusting process is solved, and the image definition and the SFR test accuracy are ensured through real-time vibration monitoring and intelligent adjustment.

The present invention relates to the field of fluid control technology, and in particular to a fluid generating device, comprising a piezoelectrically driven actuator, a spacer and a diaphragm, wherein the diaphragm has a fixed portion and a vibrating portion, wherein the fixed portion is fixedly connected to one end of the spacer away from the actuator, and the vibration energy generated by the actuator, on the one hand, is transmitted to the diaphragm by causing pressure changes in the fluid in the chamber due to the vibration of the actuator, and more importantly, the energy is directly transmitted to the diaphragm by means of a mechanical coupling formed by the actuator and the diaphragm, thereby causing the diaphragm to vibrate, and the energy transfer efficiency is higher; in addition, by arranging a partition on the diaphragm, the partition separates the vibrating part into at least two vibration zones, and the ability of the diaphragm area opposite to the partition to resist elastic deformation when a force is applied is greater than the ability of the vibration zone to resist elastic deformation when a force is applied, and the vibration energy transmitted to the diaphragm will mainly act on the vibration zone, causing the vibration zone to generate vibrations with a larger amplitude, and the energy utilization rate is higher.

The invention relates to an ultrasonic transducer capable of realizing a high torsional vibration-longitudinal vibration amplitude ratio and a design method thereof. The ultrasonic transducer comprises a piezoelectric ceramic vibrator 3, an amplitude-change pole 2 and a tool head 1 which are connected in sequence, the shape of the amplitude-change pole is formed by rotating a specific geometric curve around the axis. The interior of the amplitude-change pole is of a cavity structure 5, the wall thickness distribution of the amplitude-change pole is adjustable, the cavity structure is a through hole or a blind hole, and the shape of the cavity structure is an equal-diameter cavity extending along the axis or a special-shaped cavity formed by rotating a specific geometric curve around the axis. By optimizing the internal cavity structure and the wall thickness distribution and adjusting the amplitude proportion between torsional vibration and longitudinal vibration, the longitudinal vibration of the transducer can be converted into longitudinal torsional vibration, so that the transducer has both longitudinal vibration and torsional vibration. Due to the unique cavity type structure in the amplitude-change pole, the amplitude ratio of generated torsional vibration to longitudinal vibration can be larger, the ultrasonic effect with the high torsional vibration-longitudinal vibration amplitude ratio can be generated, and vibration output with the high torsional vibration-longitudinal vibration amplitude ratio can be achieved.

The invention relates to the technical field of centrifugal detection, and provides a centrifugal detection system which is characterized in that spectral data, image data and pressure data are acquired through a detection module, spectral features, layered edge sharpness and pressure change features are extracted, the features are fused through an attention mechanism to obtain centrifugal fusion features, and then an accurate centrifugal state score is analyzed; the control module combines the centrifugal state score and simulates the vibration amplitude and torque change in the centrifugal detection process to judge whether the centrifugal state is abnormal or not, the centrifugal state can be comprehensively and accurately evaluated in a multi-source data detection and multi-factor comprehensive judgment mode, the limitation of single data or single factor judgment is avoided, and the detection accuracy is improved. Potential problems of physical and biological levels in the centrifugal process can be timely and accurately found, and a reliable basis is provided for subsequent adjustment and control.

The invention relates to the technical field of hemispherical resonator gyroscopes, in particular to a method for reducing vibration coupling of a hemispherical resonator gyroscope, and aims to solve the problem that accurate vibration suppression is often difficult to realize when the HRG faces a complex and multi-frequency mixed vibration environment. Comprising the following steps: step 1, evaluating the frequency range, amplitude and directivity of an external vibration environment; 2, a vibration isolation module is installed to reduce transmission of external vibration; 2, analyzing external vibration characteristics of the hemispherical resonator gyroscope; 3, generating a compensation signal based on the vibration characteristics of the hemispherical resonator gyroscope, and compensating the vibration signal of the hemispherical resonator gyroscope in real time through a compensation system; and 4, debugging and optimizing a vibration isolation and compensation system. By adopting a vibration isolation and active compensation method, external vibration and internal structure coupling vibration are controlled, the interference of vibration coupling on the hemispherical resonator gyroscope is reduced, the performance of the hemispherical resonator gyroscope is improved, and the use requirements in high-precision navigation and complex environments are met.

The invention relates to the technical field of cable bridges, and discloses a cable bridge with expansion joints, which comprises two cable bridge main bodies, expansion joint main bodies are slidably connected to the outer walls of the two cable bridge main bodies, and three air pressure sleeves are fixedly connected to the tops of the expansion joint main bodies. First air pressure cavities are formed in the inner walls of the three air pressure sleeves correspondingly, air in the first air pressure cavities and the second air pressure cavities is extruded by the extrusion assembly under the influence of the weight of the cable, so that air at the top and the bottom of a piston rod is in a high-pressure state, and when the cable at the main body part of the expansion joint vibrates, generated vibration is transmitted to a supporting plate; by means of compressibility of high-pressure gas on the two sides of the piston rod, vibration generated by the cable is absorbed, the vibration amplitude of the cable is reduced, and the situation that flexible connection between the expansion joint body and the cable bridge body easily causes increase of the vibration amplitude of the cable at the position, large pulling force is applied to the cable at the position, and the cable is easily damaged is effectively prevented.

The invention discloses a grinding state and grinding wheel wear monitoring system and method based on multi-sensor fusion, which realize multi-physical-quantity coupling modeling and improve the monitoring precision through cooperative deployment of micro array thermocouples, strain force sensors and vibration sensors and in combination with a time domain and frequency domain feature extraction technology. The system adopts a non-contact power supply design, electromagnetic induction power generation is driven through rotation of the main shaft, real-time signal processing and wireless transmission of a circuit board in the grinding wheel are supported, and the problem of power supply in a high-speed rotation scene is solved. And meanwhile, dimension reduction processing is conducted on the multi-sensor features through an offline network model, self-adaptive adjustment of grinding parameters and ultrasonic amplitude is achieved through dynamic regulation and control logic, and the downtime and the rejection rate are remarkably reduced. The method has remarkable creativity, practicability and economic benefits, fills the blank of fragmentation monitoring and regulation and control lag in the prior art, and improves the stability and machining quality of the grinding process.

The utility model relates to a flexible photovoltaic support with a vibration reducing function, which comprises end part stand columns and a middle stand column, the middle stand column is arranged between the end part stand columns, the top of each end part stand column is fixedly connected with an installation cable, and two installation cables are arranged in pairs in parallel in a group. A triangular support is fixedly connected to the mounting cables arranged in pairs, a spring is fixedly connected to the bottom of the triangular support, a limiting piece used for limiting straightening of the spring is installed on the spring, a balancing weight is fixedly connected to the bottom of the spring through a first steel wire rope, and a ground pile is fixedly connected to the bottom of the balancing weight through a second steel wire rope. Various guarantees are provided, the vibration amplitude of the flexible photovoltaic support is effectively reduced, the structural safety is improved, meanwhile, the vibration reduction assembly can be effectively protected, and structural failure is avoided.

The invention provides an intelligent pipeline detection system based on the Internet of Things technology, and relates to the field of intelligent pipeline management, and the system collects the time sequence of state parameter data such as a temperature value, a pressure value and a vibration amplitude value of a monitored pipeline through a sensor network, and transmits the time sequence to a cloud data center through the Internet of Things technology. And the cloud data center processes the time sequence data of the state parameters to obtain a pipeline state detection result of the monitored pipeline, and if the pipeline state detection result shows that the pipeline state is abnormal, an early warning signal and a detection result are sent to a manager. Thus, intelligent monitoring of the pipeline state can be achieved, abnormal conditions can be found in time, and then safety and stability of pipeline operation can be ensured.