22 results about "Stationary conditions" patented technology

The invention discloses a mountain torrent disaster early warning index correction method under a non-stationary condition, and relates to the technical field of disaster early warning, and the method comprises the steps: 1, collecting rainfall, river water level, and tributary inlet water flow movement data in real time, and carrying out the preprocessing; step 2, calculating a river jacking model by using the preprocessed data, predicting a jacking effect, if so, entering step 3, and if not, keeping a critical rainfall threshold value; and step 3, further calculating a hydrological state model, predicting whether the branch flows out of the embankment, if yes, updating a threshold value and performing early warning, and otherwise, returning to the step 2. By means of the ultrasonic sensor and the electromagnetic current meter, multiple data are collected, a model is built to predict the jacking effect, the critical rainfall is dynamically updated, the situation that traditional fixed threshold value adaptation fails, early warning lags are prevented from aggravating disasters is avoided, water flow data are disassembled, partition differentiation weighting is carried out, the hydrological evaluation precision is improved, and data preprocessing is combined, so that the accuracy of hydrological evaluation is improved. And a reliable support is provided for mountain torrent early warning and flood control decision under a non-stable condition.

The invention discloses a non-stationary turbulent flux calculation and coherent structure identification method, device and terminal in the technical field of atmospheric boundary layer physical and meteorological observation, and aims to solve the problems that the applicability is poor under a non-stationary condition, systematic deviation is easy to generate, and effective identification of a coherent structure and quantitative evaluation of flux contribution of the coherent structure are lacked in the prior art. The method comprises the steps of collecting original data; the method comprises the following steps: cutting original data into main fragments with preset duration according to equal time intervals, and preprocessing the main fragments to obtain an average quantity and a pulsation quantity of the main fragments; uniformly dividing the main fragment into a plurality of sub-fragments, calculating the relative non-stationarity of the main fragment, and obtaining the state of the main fragment; according to the method, the accuracy of turbulent flux calculation can be remarkably improved under the non-ideal atmospheric condition, the physical interpretation capacity of the atmospheric boundary layer process is enhanced, the method is suitable for turbulent flux calculation under the complex underlying surface conditions such as mountainous regions and cities, and the refined meteorological service requirement is met.

A motorized stroller device for remotely controlling movement of the stroller includes a carriage with a frame and a seat. A pair of rear wheels are rotatably coupled to the frame. Each motor of a pair of electric motors is operatively coupled to a respective rear wheel to selectively rotate the pair of rear wheels. A processor is in communication with the pair of electric motors. A receiver is in communication with the processor. A remote control selectively actuates the pair of electric motors in a first direction, a second direction, and a stationary condition. The remote control includes a directional pad that is selectively positionable to control a direction in which the carriage is being moved. A transceiver sends signals from the remote control to the receiver to selectively actuate the pair of electric motors.

The present application discloses a load decomposition method and device, including: establishing a multi-body model of a bus suspension. Selecting a jump-side wheel from the wheels in the multi-body model of the bus suspension, and applying an upward input vertical load at the ground contact point of the jump-side wheel. Selecting a non-jump-side wheel corresponding to the jump-side wheel, and obtaining a target correction load for the non-jump-side wheel according to the non-jump-side static condition, wherein the value of the target correction load is greater than the static load. Applying an upward target correction load at the ground contact point of the non-jump-side wheel. Based on the multi-body model of the bus suspension, static load simulation is performed using the applied input vertical load and the target correction load to obtain the six-direction force loads at the hard points where the bus suspension and the body are connected. The loads at the hard points where the vehicle suspension and the body are connected extracted by the present application are more accurate and consistent with the actual driving conditions of the bus.

The invention relates to the technical field of bearing detection, in particular to a rolling bearing defect detection method and system based on encoder feedback, and the method comprises the steps: collecting a vibration signal of a to-be-detected rolling bearing, and obtaining a rotating speed signal through a coaxial encoder; selecting a defect impact dominant frequency band for the vibration signal according to the spectral kurtosis and carrying out band-pass filtering, and then carrying out envelope demodulation on a filtered signal to obtain an envelope signal; generating a speed measurement pulse according to the rotating speed signal, determining an equal-angle sampling mark and establishing time-angle mapping; resampling the envelope signal angular domain according to the mark to form an angular domain envelope sequence; order spectrum analysis is carried out on the angular domain envelope sequence to obtain an envelope order spectrum, feature orders of an outer ring, an inner ring and a rolling body are determined according to bearing structure parameters, and harmonic peak values of the feature orders of the outer ring, the inner ring and the rolling body are extracted; and calculating three-class order peak ratio characteristics by using the full-spectrum amplitude and normalization, inputting the three-class order peak ratio characteristics into a multi-core support vector machine model, and outputting defect classes. According to the invention, the problems of difficult identification caused by feature drift of the bearing under a non-stationary condition and strong dependence of the diagnosis process on expert experience can be solved.

The embodiments of the present application provide a method, apparatus, storage medium, and device for evaluating electromagnetic protection performance. This method uses field strength data from a target vehicle under acceleration, deceleration, constant speed, and stationary conditions as a data source to calculate the temperature rise of target human tissue. Data provided by standard operating conditions and a big data platform are used as speed weighting coefficients and statistical duration coefficients, so that the resulting temperature rise of target human tissue under specific operating conditions is closer to the actual driving state. This effectively characterizes the degree of impact of the target vehicle's electromagnetic radiation on the human body during actual driving. This method, taking into account the absorption and accumulation of electromagnetic waves by different human tissues and the actual driving scenarios of the vehicle, provides a more accurate and comprehensive assessment of the safety risk of electromagnetic protection against human body damage.

The application discloses a kind of automobile brake friction plate wear monitoring method and automobile.The method comprises: after the first mileage period of automobile driving, the real-time liquid level height of brake fluid storage tank is obtained when automobile is under preset stationary condition;Real-time wear thickness of brake friction plate corresponding to the first mileage period is determined according to real-time liquid level height;Determine wear monitoring result according to real-time wear thickness.The application for the automobile that has assembled brake fluid storage tank liquid level sensor, without additional increase hardware in brake, will not bring the increase of component cost and weight, can realize the real-time monitoring of the wear degree of brake friction plate, and then let driver can understand the wear state of brake friction plate in real time, timely alarm to prompt driver to replace brake friction plate.The application can improve the safety performance of automobile, meet the intelligent demand of automobile.

The present invention discloses a waterproof and moisture-proof motor, belonging to the technical field of motors. A waterproof and moisture-proof motor comprises: a dual-output shaft body arranged in a housing, a first mounting box is fixedly connected to the top of the housing, a vent hole penetrating from top to bottom is opened in the center of the first mounting box, a first output rotor at the top of the dual-output shaft body passes through the vent hole and extends to the top of the first mounting box; a sealing part arranged on the first output rotor, a sealing end of the sealing part abuts against the vent hole at the bottom of the first mounting box; a mounting cylinder, fixedly connected in the housing, covering the outside of the dual-output shaft body, and a cavity for airflow to pass between the dual-output shaft body and the dual-output shaft body; the present invention drives the sealing disk to rise by the airflow generated by the rotation of the fan blades driven by the drone, so as to prevent the sealing disk from being worn due to friction when the rotor rotates, thereby preventing the sealing disk from leaking when it is stationary, thereby avoiding the deterioration of the sealing effect of the motor.

The application discloses a kind of non-stationary turbulent flux calculation and coherent structure identification method, device and terminal in the field of atmospheric boundary layer physics and meteorological observation technology, to solve the problems that existing technology is poor in applicability under non-stationary condition, easy to produce systematic deviation, and lack of effective identification of coherent structure and quantitative evaluation of its flux contribution.The present application comprises collecting original data;The original data is cut into a preset length main segment according to equal time interval, the main segment is pretreated, the average quantity and the pulsation of the main segment are obtained;The main segment is evenly separated into multiple sub-segments, the relative non-stationarity of the main segment is calculated, and the state of the main segment is obtained;The present application can significantly improve the accuracy of turbulent flux calculation under non-ideal atmospheric conditions, and enhance the ability of physical interpretation of atmospheric boundary layer process, suitable for turbulent flux calculation under complex underlying surface conditions such as mountainous area and city, meet the demand of fine weather service.

This invention relates to a suspension and attitude adjustment device for aircraft engine assembly, belonging to the field of lifting machinery technology. It includes: a main fixed frame as a load-bearing foundation; a lifting and rolling frame movably mounted on the main fixed frame; a lifting drive device installed between the main fixed frame and the lifting and rolling frame for driving the vertical lifting and lowering of the lifting and rolling frame; a safety redundancy device installed on the main fixed frame for providing braking clamping in case of abnormal lifting or stationary conditions; a rolling mechanism installed on the lifting and rolling frame for driving the engine to roll circumferentially; and a driving travel mechanism installed on the main fixed frame for moving the entire device along a travel track. This invention integrates multiple functions such as travel, lifting, and rolling, achieving high-precision attitude adjustment while ensuring safety throughout the process and data visualization.

Dosing device (1) for filling bags with a powder or granular product, said dosing device comprising: a supply hopper (21) containing a quantity of product, a dosing device (22) associated with said supply hopper (21) and configured to withdraw said product from said supply hopper (21) and to discharge doses of the withdrawn product into respective bags; a refill hopper (31) configured to store said product; a refill unit (32) configured to refill said supply hopper (21); a weighing unit (41) associated with said supply hopper (21) and configured to measure the weight of the supply hopper (21) and the product contained therein; and a controller (6) operatively associated with at least said refill unit (32) and said weighing unit (41), and programmed to operate said refill unit (32) to transfer the product from said refill hopper (31) to said supply hopper (21); wherein said controller (6) is further programmed to obtain by said weighing unit (41) an operation weight corresponding to a weight of a pre-established quantity of product inside the supply hopper (21) measured in a stationary condition, that is before starting discharging the doses of product into the bags, and to control a feed rate of said refill unit (32) to operate it in a condition to keep the weight measured by the weighing unit (41), when the doses of the product are discharged into the respective bags, at a value within ± 5% of the operation weight.

The present disclosure relates to beam selection refinement for wireless communications in stationary conditions. Systems and processes are described for beam selection performance improvement in stationary conditions for a wireless device (e.g., a user equipment, UE). A data processing system of the UE is configured to perform a beam sweep to test a plurality of high-gain candidate beams on a physical downlink shared channel (PDSCH) and a link adaptation (LA) channel state information reference signal (LA-CSI-RS) when the UE is not moving and the data processing system of the UE determines that the channel is stable. The data processing system is configured to refine a given beam selection based on determined beam capacity (e.g., from PDSCH signaling and / or LA-CSI-RS signals) to optimize data throughput.

A method of controlling a steer-by-wire steering system (1 ) of a vehicle is described. The angular position (swa) of the steering wheel (2), the speed (vx) of the vehicle, and the current yaw rate (Ψm) of the vehicle are sensed. A first position (δf) of the steering rack (7) of the steering system (1) is calculated (20) based on the position of the steering wheel and the speed of the vehicle. A first yaw rate (Ψ0L,pass) of the vehicle is determined (231 ) based on the position of the steering wheel, the speed of the vehicle, and a curve indicative of the understeer gradient in stationary conditions. A second yaw rate (Ψ0L,ref) of the vehicle is determined (232) based on the position of the steering wheel, the speed of the vehicle, and a curve indicative of the desired understeer gradient. The first yaw rate (ΨOL,pass) is subtracted from the second yaw rate (ΨOL,ref) to determine a first difference factor (ΔΨ). Based on the first difference factor (ΔΨ) and the speed of the vehicle, a first corrective value of displacement (Δδf,OL) required to the steering rack (7) is determined (233) to neutralize the first difference factor (ΔΨ). A third yaw rate (ΨCL,ref,dyn) of the vehicle is determined (234) based on the position of the steering wheel, the speed of the vehicle, and parameters indicative of the physical characteristics of the vehicle. The current yaw rate (ΔΨ) is subtracted from the third yaw rate (ΨCL,ref,dyn) to determine a second difference factor (ΨCL,ref)- The second difference factor (ΨCL,ref) is transmitted to a PID controller (235) to determine a second corrective value of displacement (Δδf,CL) required to the steering rack (7). The actual position of the steering rack is controlled by an electrical actuator (6) based on the sum of the first position (δf) of the steering rack, the first corrective value of displacement (Δδf,OL) and the second corrective value of displacement (Δδf,CL)

The application discloses a mountain torrent disaster early warning index correction method under non-stationary conditions and relates to the technical field of disaster early warning, which comprises the following steps: step one, collecting rainfall, river level and branch stream convergence inlet water flow movement data in real time and preprocessing; step two, calculating a river jacking model by using the preprocessed data, predicting the jacking effect, and if the jacking effect exists, proceeding to step three, and if the jacking effect does not exist, keeping a critical rainfall threshold; step three, further calculating a hydrological state model, predicting whether the branch stream breaches the bank, updating the threshold and early warning if the branch stream breaches the bank, and returning to step two if the branch stream does not breach the bank. The application collects multiple data by using ultrasonic sensors and electromagnetic current meters, builds a model to predict the jacking effect, dynamically updates the critical rainfall, avoids the adaptation failure of the traditional fixed threshold, prevents early warning lag from aggravating disasters, disassembles water flow data, differentiates and weights in different zones, improves the precision of hydrological evaluation, combines data preprocessing, and provides reliable support for mountain torrent early warning and flood control decision-making under non-stationary conditions.

The application discloses a kind of ecological flow evaluation method and system under non-stationary condition, which comprises obtaining target basin monthly runoff observation sequence, and carries out variability detection and data processing;Fixed sliding window is set on the monthly runoff observation sequence, and is gradually slid with fixed step, and the optimal distribution is determined in each sliding window by probability distribution fitting, and the minimum record length of sliding window is obtained from the optimal distribution by Monte Carlo resampling;With minimum record length as window length, multiple sliding windows are set, the monthly runoff corresponding to the ecological flow quantile value in each sliding window is calculated, and the median of the ecological flow quantile value of the month in all sliding windows is used as the monthly scale ecological flow threshold value;The application effectively avoids the systematic bias caused by the stationary assumption of the whole runoff sequence, and provides reliable statistical support for the stable estimation of ecological flow under non-stationary condition.

This invention relates to the field of vehicle control technology, specifically to a vehicle slope estimation method based on the fusion of sliding mode observer and static condition data. The method includes: S1: acquiring relevant vehicle state information; S2: determining the vehicle's operating condition; S3: selecting a slope estimation mode: if the vehicle is stationary, selecting the stationary slope mode; if the vehicle is in motion and meets effective excitation conditions, selecting the sliding mode observation slope mode; if the vehicle is in other operating conditions, selecting the hold mode; S4: in the stationary slope mode, calculating the slope estimate under the stationary condition; in the sliding mode observation slope mode, estimating the slope estimate using the sliding mode observer; in the hold mode, holding the slope estimate from the previous cycle; S5: generating a slope estimation result from the slope estimates output in the corresponding mode using a fusion algorithm to achieve corresponding vehicle control. This invention improves the efficiency, stability, and noise resistance of vehicle slope estimation.

The application provides a simulation method for automobile ride comfort under non-stationary conditions, and relates to the technical field of automobile research and development. An automobile model is established by using a finite element method, boundary conditions are applied, and a bdf file is generated; a transient spatial frequency response function method is combined with a spatial domain virtual excitation method to solve; new delay times of front and rear wheels are calculated, corresponding statements in the bdf file are modified, new initial frequencies and frequency intervals are calculated, and corresponding statements in the bdf file are modified. The application can not only simulate the ride comfort of a simple model, but also simulate the ride comfort of a complex model, and the solving efficiency is high without the need of deducing complex mathematical formulas.

The invention relates to a method for checking a correction of a system model in a Kalman filter (1), which is part of a filter network (2) for determining positioning data in a motor vehicle, and determining the positioning data using a first set of sensor data (3), the method comprises at least the following steps: a) detecting a stationary situation of the motor vehicle by means of a stationary detection (12) during operation, thereby generating a stationary signal (13); b) performing a calibration function for the parameters of the system model in the Kalman filter (1) during the stationary situation, the corrected parameters (5) being ascertained; c) when a stationary signal (13) is present, performing a check of the corrected parameter (5) by comparing the corrected parameter (5) with a comparison parameter (6), the comparison parameter (6) being ascertained using a further data source (10), the further data source (10) creating the comparison parameter (6) using the second set of sensor data (4), the comparison parameter (6) being ascertained using the second set of sensor data (4); the second group of sensor data (4) is reduced relative to the first group of sensor data (3), d) if the check performed in step c) results in a negative result, performing an error function (7).

A method for safely starting an alternating-current, AC, motor from a pre-loaded stationary condition, the method including: applying a brake to immobilize the AC motor's axle; feeding the AC motor with a predefined drive signal waveform configured not to generate torque and sensing resulting stator currents; comparing the sensed stator currents with reference currents associated with the drive signal; and enabling release of the brake in response to finding that the sensed stator currents match the reference currents.

The invention belongs to the field of sensors, and provides a gyroscope, accelerometer and magnetometer fusion calibration method, which comprises the following steps: acquiring X-axis, Y-axis and Z-axis data of an accelerometer, a gyroscope and a magnetometer of equipment; based on the X-axis data, the Y-axis data and the Z-axis data of the accelerometer, whether the equipment meets a preset first static condition or not is judged, if yes, the three-axis offset of the gyroscope is obtained, and compensation is conducted on output data of the gyroscope; judging whether the equipment meets a preset second static condition or not based on the XYZ three-axis data of the gyroscope, judging whether the equipment meets a preset horizontal condition or not based on the XYZ three-axis data of the accelerometer, calculating an acceleration compensation value if the equipment meets the preset horizontal condition at the same time, and compensating the output of the accelerometer based on the acceleration compensation value; integrating the XYZ three-axis data of the gyroscope to obtain the rotation angle of the gyroscope, fitting the XYZ three-axis data of the magnetometer acquired in real time and the rotation angle obtained by integration to describe an arc to obtain an isosceles triangle, calculating to obtain the magnetic field disturbance variable of the magnetometer, and compensating the output of the magnetometer based on the magnetic field disturbance variable; according to the invention, the calibration problem of the gyroscope, the accelerometer and the magnetometer in the prior art can be solved.

This invention provides a data-driven method and apparatus for modeling and optimizing the hot rolling process of strip steel, relating to the field of industrial process control and optimization technology. The method includes: collecting time-series data of process variables from each stand during the hot rolling process of strip steel production and measuring strip crown to construct training and calibration sets; training a deep learning hybrid model using the training set; constructing a working condition partitioning tree based on the calibration set and the trained deep learning hybrid model; obtaining the point prediction values ​​and empirical quantiles of the samples to be predicted to obtain an initial prediction interval; calculating the distance between the online data distribution and the historical steady-state reference distribution and dynamically correcting the prediction interval; establishing a multi-objective optimization problem, defining decision variables and constraints, and solving to obtain the optimal rolling parameter setpoints to complete closed-loop control. This invention solves the problems of insufficient prediction reliability and poor robustness of optimization decisions in the hot rolling process under non-stationary conditions, improving the quality stability and production efficiency of hot-rolled strip steel.

The invention discloses an engine starting control method and system under a static working condition, and relates to the technical field of hybrid electric vehicles, and the method comprises the following steps: calculating an engine resistance moment based on an engine starting kinematics model; based on the engine starting kinetic model, the motor rotating speed, the engine rotating speed and the transmission shaft torque serve as state variables, the motor torque serves as a control variable, the engine resistance torque serves as an interference variable, and the motor rotating speed and the engine rotating speed serve as output variables, and a state equation is constructed; a Luenberger type system state observer is constructed; and based on the Luenberger type system state observer, a preset engine rotating speed curve and a preset motor rotating speed curve, rotating speed curve trajectory tracking is carried out, so that an optimal control law is obtained, and the optimal torque of the motor in the process of reversely dragging and starting the engine through the transmission shaft is represented. While starting rapidity is guaranteed, the torque peak value of the transmission shaft is reduced, and the use reliability of the transmission shaft is effectively guaranteed.