94 results about "Vibration threshold" patented technology

The invention relates to the technical field of equipment monitoring, in particular to an intelligent monitoring method and system for ship power equipment, and the method comprises the following steps: synchronously collecting the operation time sequence data of the equipment; based on the ship power transmission topological structure, generating a dynamic physical constraint model between devices; and inputting the collected equipment operation time sequence data into the dynamic physical constraint model, calculating a host-gear box torque transmission residual error and a gear box-shafting rotating speed matching residual error sequence, and when the zero-crossing rate sudden change frequency of any residual error sequence exceeds a preset sudden change frequency threshold value in a preset time window, triggering an early warning mechanism. Compared with the limitation that a traditional single-point vibration threshold method cannot cover a multi-node cooperative fault, the cross-equipment coupling fault recognition rate is increased, and the coverage range of the cross-equipment coupling fault is widened.

The invention relates to the technical field of industrial automatic detection, in particular to a collaborative visual detection method and system for an SMT production line, and the method comprises the steps: obtaining a beat reference signal which is synchronous with the periodic motion beat of a mounting head in the SMT production line; determining a stable acquisition window of which the vibration intensity is lower than a preset vibration threshold value; in the stable acquisition window, sending a synchronous trigger instruction to a plurality of visual inspection cameras deployed on the SMT production line in a unified manner; performing space-time alignment processing on the multi-path image data; performing motion blur correction processing on the image data subjected to the space-time alignment processing; and carrying out validity verification on the result of the space-time alignment processing, and executing a preset exception processing strategy when the verification result indicates that the verification fails. According to the invention, the beat reference signal synchronized with the motion beat of the mounting head is directly obtained, and the opportunity decision of image acquisition and the real-time vibration monitoring result are deeply bound, so that the double strategies of beat synchronization and vibration avoidance are realized.

The invention relates to the technical field of vibration monitoring, in particular to a rotating machine vibration protection method and system based on particle swarm optimization, and the method comprises the steps: obtaining a corrected load torque based on a polynomial fitting temperature compensation algorithm in combination with a real-time environment temperature and a sensor output voltage, and synchronously calculating an actually measured vibration amplitude; configuring the number of variational mode decomposition layers according to the real-time rotating speed of the rotor to obtain a preprocessed vibration signal, adjusting the number of independent component analysis iterations according to the load torque, separating the preprocessed vibration signal to obtain independent vibration components, and generating a feature vector; calibrating adaptive resonance theory network parameters based on a particle swarm optimization algorithm, obtaining a normalized feature vector, calculating the similarity with a fault feature template, outputting a diagnosis result, calculating the deviation between an actually measured vibration amplitude and a normal vibration threshold, and performing compensation according to the diagnosis result and the deviation. According to the scheme, the fault diagnosis accuracy of the rotary mechanical vibration protection system is effectively improved through multi-working-condition self-adaptive diagnosis.

The invention relates to a method and equipment for detecting deflection of a galvanometer motor in a medical galvanometer scanning system. The method mainly comprises the steps that a dynamic threshold value library is established, a dynamic threshold value set matched with a current scene is called, and the dynamic threshold value set comprises an angle error threshold value, a vibration threshold value and a driver temperature threshold value; acquiring inner ring control signals in real time, wherein the inner ring control signals at least comprise a motor angle error signal, a vibration signal and a driver temperature signal; carrying out quantitative fusion on the collected signals through a multi-signal weight fusion algorithm and carrying out preliminary judgment; and comparing the preliminarily judged signals with a dynamic threshold group, judging whether each signal meets a corresponding threshold condition or not, and if all the signals meet the corresponding threshold condition, judging that the galvanometer motor deflects in place. Compared with the prior art, the precision is remarkably improved, the normal skin burn risk caused by position deviation is avoided, and the high-precision safety requirement of a medical scene is met.

The invention provides a concrete structure integrity evaluation method and device based on wave velocity image diagnosis, and is applied to the technical field of geophysical exploration, and the method comprises the steps: obtaining a vibration signal, monitored by a vibration sensor in real time, of a concrete structure; when the vibration signal exceeds a preset vibration threshold value, determining the vibration signal as a target vibration signal; identifying the target vibration signal, and when the target vibration signal is an internal micro-seismic signal of the concrete structure, determining the arrival time of a first arrival wave of the target vibration signal; on the basis of a speed model generated by preorder iteration, arrival time inversion positioning is carried out on arrival time of the first arrival waves, and focus coordinates of the target vibration signals are obtained; constructing a dynamic speed model based on the arrival time of the first arrival wave and the focus coordinates; and performing real-time evaluation and damage trend analysis on the interior of the concrete structure based on the dynamic speed model. According to the invention, high-precision real-time monitoring of the wave velocity distribution of the concrete structure can be realized.

The invention belongs to the technical field of Internet of Things, and particularly relates to a dynamic threshold adaptive control algorithm based on physical model-data driving, which comprises the following steps: S1, data acquisition and input: the acquired data comprises cargo parameters, packaging parameters and environmental parameters; s2, calculating an initial threshold value, fusing the inherent attribute parameters of the goods and the packaging protection parameters through a physical model formula, and calculating an initial vibration threshold value; s3, dynamically correcting the threshold value, introducing a transportation scene correction factor according to the real-time transportation scene and transportation environment parameters, and dynamically adjusting the initial threshold value; s4, real-time monitoring and early warning are carried out, and a multi-level early warning decision-making mechanism is adopted according to the comparison result of the real-time vibration characteristics and the dynamic threshold value; and S5, performing model optimization iteration, constructing a federated learning architecture, and realizing distributed training and global optimization of the vibration threshold model. According to the method, threshold setting and adjustment aiming at different conditions are effectively realized based on a physical model, scene changes are effectively adapted, and false alarm and missing alarm are greatly reduced.

The present invention provides a method and system for detecting the operating status of a hydrogen pipeline flame arrester. The key points of the technical solution include: obtaining historical normal data and setting threshold parameters corresponding to various detection information; obtaining detection information of various sensors in real time and preprocessing it; performing time-frequency domain analysis on the preprocessed vibration information to obtain multiple IMF components and residuals, extracting vibration characteristics to perform preliminary vibration anomaly judgment; in response to abnormal vibration characteristics, calculating the dynamic vibration threshold corresponding to the current sampling moment; and making an abnormal judgment on the operating status of the flame arrester at the current sampling moment. The present invention can monitor the abnormal information of the flame arrester in real time, accurately judge the current status of the flame arrester, avoid safety hazards caused by flame arrester failure, and at the same time reduce the tedious operations of manual detection and avoid omissions in manual detection.

The invention discloses a rotor dynamic balance method giving consideration to vibration threshold control and counterweight vibration elimination efficiency, and the method comprises the steps: obtaining an original vibration signal and a key phase signal of a rotor through data collection equipment, and obtaining a vibration signal and a key phase signal after a trial weight is added; the amplitude and phase of an original unbalance signal of the rotor and the amplitude and phase of an unbalance signal after the trial weight is added are obtained after analysis and calculation, an optimization function with the maximum comprehensive vibration of balance weight reduction under the balance rotating speed as the target is constructed, and rotor dynamic balance optimization calculation is carried out based on a raccoon optimization algorithm. The balance weight giving consideration to the rotor vibration threshold constraint and the balance weight efficiency is obtained, and the maximum vibration is reduced through the minimum balance weight under the condition that the vibration control target is met; according to the method, the problem that in the traditional dynamic balance mass calculation process, a single-target optimization algorithm represented by minimum residual vibration, maximum vibration minimization and the like is difficult to consider the residual vibration amplitude and the counterweight balance efficiency at the same time is solved.

The invention discloses an interface switch machine state monitoring system and method based on image recognition, and relates to the technical field of computer vision, the system is composed of a plurality of functional modules, and the system comprises a data acquisition module for acquiring the interface switch machine state and weather data; the interface switch machine state comprises stretching time, a switch machine image and a laser vibration frequency spectrum, and the weather data comprises temperature, humidity and particulate matter concentration; the feature extraction module is used for receiving the state of the interface switch machine and the weather data, carrying out data fusion and generating a first feature by utilizing feature engineering; the first feature comprises an interface switch machine telescopic feature, an interface switch machine vibration feature and a corrosion image feature; the data analysis and anomaly detection module is used for extracting the telescopic characteristics and the vibration characteristics of the interface switch machine, calculating the deviation and the vibration amplitude of the locking gap, and comparing the deviation and the vibration amplitude with the gap threshold value and the vibration threshold value respectively; and when the gap locking deviation is smaller than the gap threshold value and the vibration amplitude is smaller than the vibration threshold value, continuous monitoring is conducted.

The invention provides a hydrogen pipeline flame arrester operation state detection method and system, and the key point of the technical scheme comprises the steps: obtaining historical normal data, and setting a threshold parameter corresponding to each detection information; acquiring detection information of each sensor in real time and preprocessing the detection information; performing time-frequency domain analysis processing on the preprocessed vibration information to obtain a plurality of IMF components and residual errors, and extracting vibration features to perform preliminary vibration abnormality judgment; in response to the vibration characteristic abnormity, calculating a dynamic vibration threshold value corresponding to the current sampling moment; performing abnormity judgment on the running state of the flame arrester at the current sampling moment; according to the invention, abnormal information of the flame arrester can be monitored in real time, the current state of the flame arrester can be accurately judged, potential safety hazards caused by failure of the flame arrester can be avoided, tedious operation of manual detection can be reduced, and omission of manual detection can be avoided.

The present invention discloses a method for monitoring the dust accumulation state of a power generation device. The method sets a current time zone and a benchmark time zone, collects normal operating data of the power generation device in the current time zone, and records vibration data in the current time zone that exceeds a certain vibration threshold of the current power generation device; collects the active power generation and stator blade opening of the power generation device in the benchmark time zone to form a benchmark time zone data set; calculates the average stator blade opening and average generator active power at each time point in the set; calculates health and performance change data at each time point in the current time zone, including the percentage change in stator blade opening and the percentage change in power generation efficiency; calculates the proportion of vibration records, the percentage change in stator blade opening, and the percentage change in active power; and decides whether to perform dust cleaning operations based on the calculation results. The method provides a quantitative evaluation value for the health and performance degradation of a running power generation device caused by dust accumulation, providing a reliable basis for dust removal operations.

The invention belongs to the technical field of automobile braking, and provides an active adjusting method and system for the mode of a brake pedal and application, and the method comprises the steps that a vibration database is constructed, and preset vibration threshold values under different vehicle working conditions and corresponding brake pedal mode adjusting strategies are stored in the vibration database; a brake pedal vibration signal is collected in real time and processed into a vibration characteristic value, and the vibration characteristic value is compared with a preset vibration threshold value in a vibration database under the current working condition; based on the comparison result, calling a corresponding modal adjustment strategy, generating an adjustment instruction and executing the adjustment instruction to actively change the mass distribution of the brake pedal and dynamically shift the intrinsic mode of the brake pedal; and the steps are executed circularly, and self-adaptive vibration suppression is carried out under different working conditions. Resonance is avoided by dynamically adjusting the mode of the brake pedal, and vibration suppression and full-working-condition adaptation can be achieved.

The invention provides a GIS electric contact state detection method based on temperature distribution and shell vibration, and the method comprises the steps: collecting the real-time temperature and real-time vibration data of a plurality of point locations of a primary loop of GIS equipment through a sensor; setting the ratio of the temperature data in the real-time data set of a certain point position to the limit temperature threshold in the historical data set as a temperature fault coefficient; the ratio of the vibration data in the real-time data set of a certain point position to the limit vibration threshold in the historical data set is set as the vibration fault coefficient, the electric contact state of the GIS equipment at each point position is subjected to fault judgment according to the comprehensive analysis result of the temperature fault coefficient and the vibration fault coefficient, and the judgment result is more accurate and comprehensive; observation is facilitated, and whether the point location breaks down or not can be judged in advance. The electric contact fault of the primary circuit of the GIS equipment can be found and recognized early, and early warning is achieved.

The invention relates to the technical field of shock absorption structures, in particular to a shock absorption and isolation platform locking control device. A locking mechanism of the shock absorption and isolation platform locking control device comprises a main body, a driving piece and at least one locking piece. The locking piece is movably connected with the main body and at least provided with a locking position which abuts against the first plate body to limit the first plate body to move relative to the second plate body and an unlocking position which is separated from the first plate body; the driving piece is connected with the main body and is used for driving the locking piece to change the position between the locking position and the unlocking position; the monitoring sensor is used for monitoring environment vibration; and the controller is used for controlling the driving piece to act to drive the locking piece to unlock when the environment vibration monitored by the monitoring sensor exceeds a vibration threshold value or an earthquake early warning signal is received. The operation stability of the seismic mitigation and isolation platform can be improved, the seismic mitigation and isolation platform can be unlocked instantly during an earthquake, and therefore the seismic mitigation and isolation function of the seismic mitigation and isolation platform can be effectively guaranteed.

The invention discloses a method for detecting abnormal vibration of a range hood and lampblack treatment equipment adopting the method, and belongs to the technical field of kitchen appliances. The method comprises the following steps: S1, data acquisition: acquiring a rotating speed n and a vibration amplitude; s2, judging the stability of the rotating speed, namely judging whether the rotating speed is stable or not, if so, executing the step S3, and if not, executing the step S4; s3, carrying out interval classification on the rotating speed, respectively carrying out vibration threshold comparison, and if the vibration amplitude is greater than the vibration threshold of the corresponding interval, triggering a vibration abnormity alarm; step S4, acquiring a continuous unstable time length T; if T is greater than or equal to Tth, executing the step S5, and if T is less than Tth, judging that transient interference exists; and S5, judging whether the rotating speed exceeds the limit or not, if yes, starting speed reduction protection and triggering a user alarm, and if not, returning to the step S4. By synchronously monitoring the rotating speed and the vibration data and combining rotating speed stability judgment and inter-partition vibration threshold value comparison, misjudgment is prevented, and therefore the use safety is improved.

An example method includes receiving time series vibration data for a plurality of components of a plurality of wind turbines. Based on the time series vibration data, a plurality of groups of wind turbines are defined, and a first vibration threshold and a second vibration threshold for each group. Time series vibration data of a component of a particular wind turbine is received. A particular group including a particular wind turbine and particular first and second vibration thresholds are identified. It is determined that the vibration of the component has exceeded a particular first vibration threshold. A prediction of at least one of a time period before the vibration may exceed the particular second vibration threshold and a future date at which the vibration may exceed the particular second vibration threshold is generated. An alert including the particular wind turbine and at least one of the time period and the future date is generated and provided.

A method, device, and medium for controlling a liquid crystal glass sunshade are provided. The method includes the following steps: in a turn-off state, obtaining a vibration signal feedback from a vibration sensor; if the vibration signal exceeds a preset vibration threshold and simultaneously detects a presence of light intensity signal input from a photosensitive sensor and voltage input from a solar panel, the liquid crystal glass conducts with a power module and enters a turn-on state; in the turn-on state, obtaining the vibration signal feedback from the vibration sensor; if the vibration signal does not exceed the preset vibration threshold within a first preset time, or if a battery level of the power module is lower than the a battery level threshold, the liquid crystal glass will disconnect from the power module and enter the turn-off state.

The invention discloses a remote real-time sand excavation engineering ship operation parameter identification method and system, and belongs to the technical field of sand excavation engineering ship monitoring. Position information of a sand digging engineering ship, engine vibration information, noise information and attitude information of a sand digging pipe and a sand digging rod are collected respectively; the cloud application layer is combined with an engine vibration threshold judgment model to recognize the operation time period of the sand excavation engineering ship, obtains the operation depth of the sand excavation engineering ship through a posture-geometric calculation model and a device position relation, and recognizes the operation area of the sand excavation engineering ship through a space coordinate matching model; the number of operation tools of the sand excavation engineering ship is recognized through the equipment online state statistical model, data verification and early warning triggering are carried out, and operation supervision of the sand excavation engineering ship is achieved. According to the invention, the problems of inaccurate monitoring, weak data fusion capability and difficulty in realizing whole-process refined management and control of the existing river sand excavation supervision means are solved.

The present application provides an automated warehousing method and system for glass plate processing, which relates to the technical field of glass plate transfer. The method includes: after detecting that the glass plate touches the handling rack, obtaining the first pressure data detected by each support point in real time; if the first pressure data is always less than or equal to the first pressure threshold, calculating the pressure difference between different support points; after determining two support points with a pressure difference greater than the second pressure threshold, controlling the glass plate to move in the direction of the support point with a smaller pressure value until the pressure difference is less than the second pressure threshold; after the handling rack starts to move, if it is detected that the vibration amplitude is greater than the preset vibration threshold or the second pressure data is greater than the first pressure threshold, a wear warning is given. Implementing this method can reduce the stress concentration caused by uneven support, thereby reducing the breakage risk and effectively ensuring the stability and safety of the glass plate during handling.

This wire break detection device (20) in at least one cable (10) of a civil engineering structure comprises: – a set of acoustic sensors (14a) intended to be fixed on a cable (10) or on anchor points (11, 12) of the cable (10) so as to receive an acoustic wave when a wire or strand of the cable (10) breaks; the acoustic sensors (14a) being capable of capturing this acoustic wave; and – an analysis unit (17) capable of receiving detection information of said acoustic wave by the acoustic sensors (14a) and of locating a wire break in the cable (10) according to the locations of the acoustic sensors (14a) which detected the acoustic wave.The acoustic sensors (14a) are grouped into clusters (16a), each cluster (16a) comprising a monitoring unit (15) equipped with: – a signal acquisition card for the signals from the acoustic sensors (14a); – a memory (18) for recording and time-stamping the signals from the acoustic sensors (14a) for a predetermined period before and after exceeding an acoustic vibration threshold; and – means for transmitting the recorded signals to the analysis unit (17); the analysis unit (17) being capable of receiving all the signals recorded by the different monitoring units (15) of the same cable (10) and of characterizing and locating a wire break based on the shape of the signals. Figure for the abbreviation: Fig 1.

The invention belongs to the technical field of industrial equipment state monitoring and fault diagnosis, and relates to an air compressor vibration monitoring optimization method based on a KAM vibration measurement system. A vibration measurement transmitter integrated with an eddy current probe, an anti-interference cable and a temperature compensation module is deployed at each measurement point, and the signal-to-noise ratio is increased to more than 60dB by combining two-wire system independent power supply and 4-20mA signal transmission; buffering signals are synchronously output to an intelligent analysis platform, early-stage accurate diagnosis of faults such as rotor imbalance and gear cracks is achieved through an FFT frequency spectrum, envelope demodulation and an LSTM neural network, and the residual service life of equipment is predicted; and the dynamic interlocking logic is associated with the vibration threshold value and the process parameters, and the rotating speed and the load are adaptively adjusted, so that the vibration amplitude is stabilized below 10 [mu] m. The method is suitable for centrifugal / screw type air compressors in the fields of petrifaction, electric power and the like, and equipment operation and maintenance are promoted to be transformed to intelligent and low-carbon modes.

The application discloses a kind of ladder door operating speed control method, device, electronic equipment and storage medium, comprising: the vibration signal of ladder door operation is collected, vibration value is extracted to vibration signal, speed adjustment coefficient is determined based on vibration value, speed adjustment amount is calculated using speed adjustment coefficient, vibration value and preset target vibration threshold, preset reference operating speed and speed adjustment amount are used to calculate target operating speed, control ladder door to operate at target operating speed, realize the real-time perception of mechanical vibration state of ladder door, and target vibration threshold is calculated as reference based on this, to dynamically optimize operating speed, can maximize door opening efficiency under the premise of guaranteeing smooth operation.

The application provides an active vibration control system and method. By collecting displacement, velocity and acceleration information of the lifting rod, the transverse moving rod and the overturning shaft, and synchronously collecting the amplitude of external vibration disturbance acting on the trolley structure; based on the connection mode of the trolley rod, the joint friction characteristics, the component inertia parameters and the coupling torque parameters between joints, a multi-degree-of-freedom mechanical model of the trolley is established or updated; the real-time state input of the state collection step is input into the mechanical model, the coupling vibration amplitude of each degree of freedom under the current disturbance is calculated, and vibration evaluation is performed; a multi-axis cooperative control algorithm is used to determine a set of coordinated control quantities for reducing the coupling vibration amplitude; the control quantities obtained in the control quantity generation step are output to the lifting rod, the transverse moving rod and the overturning shaft at the same time to drive the coordinated action of each degree of freedom to suppress vibration, so that the vibration amplitude of the corbel formwork trolley is kept within the preset vibration threshold.

The invention provides a dehydration control method and system of a washing machine, the washing machine and a program product. A plurality of partitioned barrels are arranged in the washing machine, and the dewatering control method comprises the steps that a dewatering program is synchronously executed in response to the partitioned barrels, and first vibration values of the partitioned barrels are obtained; and in response to the situation that the first vibration value is larger than the vibration value threshold value, the instantaneous rotating speed of at least one partition barrel in the multiple partition barrels is adjusted, so that second vibration values of the multiple partition barrels are obtained, and the second vibration values are smaller than or equal to the vibration value threshold value. The instantaneous rotating speed of at least one of the partition barrels is adjusted according to the first vibration values of the partition barrels, the phase difference of the partition barrels can be changed, and then the superposition effect of the partition barrels on whole machine vibration excitation can be reduced, so that the second vibration values of the partition barrels are smaller than or equal to the vibration threshold value, and the whole machine vibration excitation efficiency is improved. In this way, vibration noise of the washing machine can be reduced, the risk that the partition barrel collides with the box body can be reduced, and therefore the use experience of a user is improved.

The invention discloses a power transmission line aeolian vibration early warning method and system, and relates to the technical field of power transmission line monitoring, and the method comprises the steps: obtaining a plurality of vibration training data, carrying out the data preprocessing of each vibration training data, generating a vibration feature set, training a preset initial vibration prediction model through employing the vibration feature set, and carrying out the early warning of the aeolian vibration. The method comprises the steps of obtaining a corresponding target vibration prediction model, obtaining to-be-measured vibration data, carrying out vibration prediction on the to-be-measured vibration data through the target vibration prediction model to obtain a plurality of predicted vibration amplitudes, and generating a vibration alarm signal when any predicted vibration amplitude is greater than or equal to a preset vibration threshold value. The technical problems that in the prior art, aeolian vibration early warning is carried out on an output line mainly by deploying a vibration sensor on a power transmission line, but the future vibration trend of the power transmission line cannot be predicted, the power transmission line is difficult to protect before the aeolian vibration risk, and the reliability of power grid operation is reduced are solved.

The invention discloses a steam turbine bearing bush vibration control method and device, electronic equipment and a storage medium, according to the steam turbine bearing bush vibration control method and device, due to the fact that bearing bush vibration and rear cylinder exhaust steam temperature two-parameter cooperative monitoring is adopted, when vibration exceeds a threshold value, the water spraying flow and the working back pressure are synchronously adjusted, and when the exhaust steam temperature exceeds the standard, reverse deviation correction is executed; a dynamic balance mechanism of the vibration threshold value and the exhaust steam temperature upper limit is established through cyclic optimization, so that the problems that the exhaust steam temperature exceeds the standard or the vibration control is not up to the standard due to the fact that a single parameter adjustment strategy is adopted and the dynamic balance mechanism of the vibration threshold value and the exhaust steam temperature upper limit is not established in an existing bearing bush vibration control method can be solved. The technical effects that dynamic balance of the bearing bush vibration and the exhaust steam temperature is achieved, it is guaranteed that the bearing bush vibration and the exhaust steam temperature are both in a safe range, and then the running stability and reliability of the steam turbine are improved are achieved.

The present application relates to the technical field of vibration monitoring, and particularly relates to a rotating machinery vibration protection method and system based on particle swarm optimization, comprising: a polynomial fitting temperature compensation algorithm, which is combined with real-time environmental temperature and sensor output voltage to obtain a corrected load torque and synchronously calculate a measured vibration amplitude; a variational mode decomposition layer number is configured according to a real-time rotor speed to obtain a pretreated vibration signal, the number of iterations of independent component analysis is adjusted according to the load torque, the pretreated vibration signal is separated to obtain an independent vibration component, and a feature vector is generated; network parameters of an adaptive resonance theory are calibrated based on a particle swarm optimization algorithm to obtain a normalized feature vector, the similarity with a fault feature template is calculated, a diagnosis result is output, the deviation of the measured vibration amplitude from a normal vibration threshold value is calculated, and compensation is performed according to the diagnosis result and the deviation. The present application effectively improves the fault diagnosis accuracy of the rotating machinery vibration protection system through multi-working-condition adaptive diagnosis.

The present disclosure provides a control adjustment method and system for reducing the vibration of a medium-speed coal mill, which comprises the following steps: during the operation of the medium-speed coal mill, the vibration value, the loading force, the current output, the separator speed and the coal mill ventilation are acquired in real time; it is judged whether the vibration value is less than the vibration threshold value, if yes, the running parameters of the coal mill are kept; otherwise, the loading force is controlled to be reduced to obtain the vibration value after the loading force is adjusted, if the vibration value after the loading force is adjusted is less than the vibration threshold value, the running parameters of the coal mill are kept; if the vibration value after the loading force is adjusted is greater than or equal to the vibration threshold value, it is judged whether the loading force is reduced by a first preset proportion, if not, the loading force is continuously controlled to be reduced to reacquire the vibration value after the loading force is adjusted for judgment; if yes, the current output, the separator speed and the coal mill ventilation are controlled to be adjusted to realize the control adjustment of the vibration of the medium-speed coal mill. According to the method of the present disclosure, the vibration of the medium-speed coal mill can be reduced, and the safe operation of the equipment is ensured.

The invention discloses a sweeping and vibrating electric toothbrush which comprises an instruction receiving module, a driving module, an execution module, a control module and a toothbrush head module. The instruction receiving module is used for receiving a toothbrush control instruction to determine a working mode and sending the working mode to the control module in a mode signal form; the execution module is used for sending rotor real-time position information and current data to the control module; the control module is used for receiving the mode signal, setting a sweep vibration parameter according to the mode signal, receiving real-time position information and current data of the rotor at the same time, generating a driving signal based on the sweep vibration parameter, the real-time position information and the current data of the rotor, and sending the driving signal to the driving module; the driving module is used for receiving the driving signal and carrying out voltage control on the execution module based on the driving signal and the sweep vibration threshold value, so that the sweep vibration parameter reaches the sweep vibration threshold value; and the execution module is fixedly connected with the toothbrush head module. The toothbrush provided by the invention can cover the occlusal surfaces of teeth, slits between the teeth and other areas, remove dental plaque residues and maintain tooth health.

The invention discloses a power consumption control method and system applied to monitoring vibration of a door lock, and relates to the field of time registers or attendance registers, in the method, a micro-motion sensor module extracts a vibration characteristic value from a vibration signal; when it is determined that the vibration characteristic value is larger than a preset vibration threshold value, the micro-motion sensor module generates a trigger signal and sends the trigger signal to the wireless communication module; the wireless communication module generates and sends a wake-up signal; the wake-up control module receives and analyzes the wake-up signal to obtain address information of target equipment; the wake-up control module performs matching verification on the target device address information and a locally stored device address; when the matching verification is successful, the wake-up control module sends a wake-up command to the security sensor module; the security and protection sensor module is switched from a dormant state to a working state and executes a preset security monitoring task; and when it is determined that the preset safety monitoring task is completed, the security and protection sensor module is switched to a dormant state. The power consumption of the system is reduced, and the electric energy waste is reduced.