75 results about "Vibration threshold" patented technology

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 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 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 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 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.

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.

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 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 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.

The invention provides an active vibration reduction control system and method. The method comprises the following steps: acquiring displacement, speed and acceleration information of a lifting rod, a transverse moving rod and a turnover shaft, and synchronously acquiring an external vibration disturbance amplitude acting on a trolley structure; establishing or updating a multi-degree-of-freedom mechanical model for the trolley on the basis of a connection mode of trolley rod pieces, joint friction characteristics, component inertia parameters and inter-joint coupling torque parameters; inputting the real-time state in the state acquisition step into the mechanical model, calculating the coupling vibration amplitude of each degree of freedom under the current disturbance effect, and performing vibration evaluation; determining a coordination control quantity set for reducing the coupling vibration amplitude by adopting a multi-axis coordination control algorithm; and the control quantity obtained in the control quantity generation step is output to the lifting rod, the transverse moving rod and the overturning shaft at the same time so as to drive the degrees of freedom to cooperatively act to restrain vibration, and the vibration amplitude of the bracket formwork trolley can be kept within the preset vibration threshold value.

The invention relates to the field of flexible support monitoring technology, in particular to a flexible support operation state monitoring method, which specifically comprises the following steps: carrying out data acquisition on an inclination angle and vibration of a cable of a photovoltaic panel or a flexible support; comparing and judging the dip angle with a normal dip angle range; if the inclination angle is within the normal inclination angle range, comparing and judging the vibration value with a first vibration threshold value; if the dip angle is located outside the normal dip angle range and the fluctuation of the dip angle in unit time is greater than or equal to the dip angle change threshold, comparing and judging the vibration value with a second vibration threshold; and if the vibration value is greater than or equal to the first vibration threshold value or the second vibration threshold value, triggering an alarm mechanism to reduce the occurrence of false alarms.

The invention relates to the technical field of rail transit locomotives, solves the problems that in the prior art, fault features are difficult to completely capture, and fault signals such as axial movement and radial vertical looseness are prone to being missed, so that the fault missed judgment rate is increased, and particularly relates to an intelligent monitoring method and system for a rail transit locomotive power collection locomotive ventilator. The method comprises the following steps of: acquiring modal simulation data containing triaxial load values and a load amplitude interval of the ventilator and a historical fault sample containing load data and a load threshold value, and then acquiring and preprocessing triaxial vibration data of the ventilator in real time, the modal simulation data based on the ventilator and the historical fault sample; the method can completely capture the vibration fault characteristics of the ventilator in a three-dimensional space, achieves the precise adaptation of a vibration threshold value and a load condition, improves the comprehensiveness and precision of fault monitoring, effectively avoids the problems of normal vibration misjudgment in a high-load condition and abnormal vibration missed judgment in a low-load condition, and improves the reliability of fault monitoring. And the fault monitoring misjudgment rate and the missed judgment rate are greatly reduced.

The invention discloses a real-time early warning method and system for multi-mode monitoring data fusion of an escalator driving main shaft, and relates to the technical field of elevator monitoring and early warning. Comprising the steps that basic parameter information of a target escalator main shaft is obtained, basic information items are obtained, and the basic information items are used for representing use parameters and contrast parameters of the target escalator main shaft; and obtaining a reference threshold value of the target escalator main shaft based on the basic information item. According to the method, after a reference vibration threshold value and a reference temperature threshold value which are matched with working conditions are calculated through a reference vibration threshold value calculation formula and a reference temperature threshold value calculation formula respectively, a vibration correction factor and a temperature and humidity correction factor are created, and the reference vibration threshold value and the reference temperature threshold value are calculated respectively; on the basis of different working conditions of the main shaft of the escalator, threshold adjustment is carried out according to the real-time environment, early warning is carried out according to the threshold after threshold adjustment, and the real-time early warning effect based on multi-modal monitoring data is achieved.

The invention provides a steel wire rope reel anti-falling device which comprises a supporting seat, a monitoring part, a control part and an alarm part, the supporting seat is arranged below a steel wire rope reel and used for bearing the falling steel wire rope reel, the monitoring part comprises a vibration sensor, and the vibration sensor is arranged on a bearing seat of the steel wire rope reel. The monitoring part is used for acquiring vibration information on the bearing seat, the control part is connected with the monitoring part and the alarm part, and the control part is used for acquiring the vibration information and controlling the alarm part to give an alarm when the vibration information is larger than a preset vibration threshold value. The vibration sensor is arranged to obtain the vibration information of the bearing seat, the control part controls the alarm part to give an alarm when the vibration information exceeds the threshold value, real-time monitoring and early warning of the falling risk of the steel wire rope reel are achieved, and the operation safety of equipment is improved. The supporting seat is arranged below the steel wire rope reel, so that a bearing effect can be achieved when the steel wire rope reel falls off, the steel wire rope reel is prevented from further falling off and rolling over, and the damage of accidents is effectively reduced.

The invention provides an anti-overspeed device and control method for a variable pitch system of a wind generating set, and the device comprises a control unit which is arranged in the variable pitch system; the rotating speed sensor is arranged in the hub and used for detecting the rotating speed of the hub to obtain a hub rotating speed detection value and sending the hub rotating speed detection value to the control unit; the vibration sensor is used for detecting hub vibration to obtain a hub vibration detection value and sending the hub vibration detection value to the control unit; and the control unit executes a paddle retracting action when the hub rotating speed detection value exceeds the preset rotating speed threshold value and the hub vibration detection value exceeds the preset vibration threshold value. According to the scheme, the safety of the variable pitch system is improved, safe operation of the wind generating set is ensured, and potential safety hazards and equipment damage are avoided.

The application relates to a power stealing prevention method and system of a meter box, and relates to the field of power stealing prevention, which comprises the following steps: step 100, collecting a door lock state of the meter box; step 101, collecting a vibration amplitude of the meter box when the door lock state is consistent with a preset locking state; step 102, determining a vibration duration based on the vibration amplitude if the vibration amplitude is greater than a preset vibration threshold value; step 103, determining an interference coefficient by combining the vibration amplitude and the vibration duration; and step 104, generating and displaying power stealing prompt information in response to the interference coefficient. The application has the effects of improving the safety of the meter box and reducing the occurrence of power stealing behaviors.

The invention relates to the technical field of aero-engine data processing, in particular to an aero-engine complete machine vibration data correction method based on an operation state. The method comprises the following steps: S1, setting initial parameters; s2, acquiring vibration data to be corrected, corresponding rotating speed data and time data; step S3, based on the rotating speed data and the time data, performing engine steady state and unsteady state identification to extract a transition point, and dividing vibration data into a steady state segment and an unsteady state segment; s4, defining a steady-state vibration threshold value, and correcting steady-state data; s5, defining an unsteady state vibration threshold value, and correcting unsteady state data; and S6, carrying out overall correction on the vibration data to obtain corrected vibration data. According to the method, data state identification, data segmentation and quantitative correction of the whole machine vibration data under different distortion degrees are realized based on the distribution characteristics of the historical data of the engine, and the effectiveness of the vibration data is greatly improved.

An intelligent control method for a vehicle-mounted garbage can is proposed, which includes: detecting whether the vibration level of the garbage can reaches a set vibration threshold; when the vibration level of the garbage can reaches the set vibration threshold, the garbage can enters a working mode, in which the fullness of the garbage can is collected every first period, the temperature inside the garbage can is collected every second period, and the vibration level of the garbage can is continuously detected under high power supply current; when the vibration level of the garbage can does not reach the set vibration threshold, the garbage can enters a sleep mode, in which the collection of the fullness of the garbage can and the temperature inside the garbage can is stopped, and the vibration level of the garbage can is continuously detected under low power supply current. An intelligent control system for a vehicle-mounted garbage can is also proposed, which includes a three-axis sensor, an ultrasonic sensor group, a temperature sensor, and a controller, wherein the controller is configured to control the components of the system to perform the above method.

This application discloses a rolling mill vibration control method and related equipment, relating to the field of automation control technology. The method includes: acquiring the current rolling process parameters of the target stand during cold rolling; inputting the current rolling process parameters into a vibration prediction model to obtain the vibration acceleration prediction value of the target stand, wherein the vibration prediction model is an ensemble model trained based on historical datasets; when the vibration acceleration prediction value is greater than a preset vibration threshold, determining a target process parameter adjustment strategy for the current rolling process parameters based on the correlation between the rolling process parameters and vibration acceleration represented by the vibration prediction model; and adjusting the current rolling process parameters of the target stand according to the target process parameter adjustment strategy.

The invention provides vehicle wheel imbalance detection. A system includes a computer including a processor and a memory storing instructions executable by the processor. The instructions include instructions for detecting body vibrations of a body of the vehicle over time and calculating wheel vibrations of each wheel of the vehicle over time. In response to detecting vehicle body vibrations below a first vehicle body vibration threshold, the computer calculates a baseline wheel vibration value for each wheel based on the calculated wheel vibrations for each wheel, respectively. In response to detecting vehicle body vibrations above a second vehicle body vibration threshold, the computer compares the calculated wheel vibrations for each wheel with a baseline wheel vibration value for each wheel, respectively. When a difference between a wheel vibration of one of the wheels and a baseline wheel vibration value of the wheel exceeds a wheel vibration threshold, the computer identifies a wheel imbalance of the wheels.