24results about How to "Achieve precise compensation" patented technology

The invention relates to the technical field of audio control, and provides an audio control method and device, electronic equipment and a storage medium. The audio control method comprises the steps that a sound effect test is carried out on a target space based on a specified measurement signal to obtain environment response information, and the environment response information comprises pulse response information and information obtained after pulse response is separated; analyzing the environmental response information to obtain acoustic characteristic information of the target space; performing compensation processing on the to-be-processed audio based on the acoustic characteristic information to obtain a regulated audio; regulating and controlling the gains of the multiple sound channels corresponding to the regulated and controlled audio to obtain audio regulated and controlled again; and carrying out multi-channel collaborative optimization processing on the audio after being regulated and controlled again to obtain the audio with a target effect. According to the method, accurate compensation of the acoustic defect of the target space is realized, the problem of crosstalk between sound channels is effectively solved, the positioning and space sense of the sound image is remarkably improved, the overall hearing sense of the audio is greatly improved, and the audio output is continuously optimized.

The invention relates to a signal emission control method and device based on optical communication and a signal emission laser. The method comprises the following steps: acquiring output light intensity data of the vertical cavity surface emitting laser in a preset temperature range and a bias current range, and determining a bistable working characteristic curve; acquiring a vibration resonance gain signal; gaussian distribution transformation and target phase sampling are performed on the vibration resonance gain signal, and a signal nonlinear compensation model is established; applying a driving current pulse synchronous with communication data, symmetrically sampling the output signal subjected to transient response control at a rising edge and a falling edge, and constructing a signal quality evaluation vector; and inputting a support vector regression model, establishing a mapping relation between the light intensity characteristic parameter and the driving control parameter, and generating a real-time control signal of the laser. According to the invention, the self-adaptive accurate control of the vertical cavity surface emitting laser is realized, and the stable operation of the signal emitting laser under the temperature and bias current fluctuation condition is ensured.

The invention provides a multi-channel signal acquisition and analysis system for safe navigation of a ship, and relates to the technical field of signal acquisition, and the system comprises a signal acquisition layer which comprises signal acquisition equipment and a signal conditioning module which comprises a programmable filter, a gain amplifier and an analog-to-digital converter; the signal processing layer comprises a logic control module, and the logic control module adopts an FPGA (Field Programmable Gate Array) and a reconfigurable data flow pipeline to carry out synchronous signal processing; the data analysis layer comprises an edge processing unit, an analysis algorithm library and a real-time decision unit; and the control and communication layer comprises a system control unit, a data transmission module and a storage management unit, the system control unit performs working mode management according to an instruction of the upper computer and is provided with a resource scheduler and a power consumption manager, and the data transmission module is provided with a multiple access transmission controller, a data compression unit and an encryption transmission module. According to the invention, comprehensive integration from signal acquisition to data analysis is realized, and the safe navigation capability of the ship is greatly improved.

The invention relates to the technical field of unmanned aerial vehicle cooperative control, and discloses a geological surveying and mapping method and system based on an unmanned aerial vehicle and a storage medium. The method comprises the following steps: processing real-time wind field data and a compensation control instruction set to obtain a wind field compensation model, and optimizing the wind field compensation model to obtain adaptive route data; analyzing and processing the battery state data, the adaptive route data and the task completion degree data of the unmanned aerial vehicle through an energy consumption prediction model to obtain task optimization parameters, and dynamically distributing and processing the task optimization parameters to obtain a task execution instruction set; and processing the state information and the task execution instruction set of the multiple unmanned aerial vehicles to obtain cooperative control data, and performing real-time calculation processing on the cooperative control data to obtain a multi-vehicle cooperative control instruction set. According to the invention, by establishing a distributed cooperative control mechanism, intelligent task allocation and anti-collision control during multi-machine cooperative operation are realized, and the efficiency and reliability of geological surveying and mapping are remarkably improved.

The invention discloses an iterative learning control optimization method for a direct current motor with non-repetitive disturbance, and relates to the technical field of direct current motor control, and the method comprises the steps: lifting a nominal model of a nonlinear system to a high-dimensional linear space through a deep Koopman operator, and obtaining the description of a high-dimensional state space model of the nonlinear system; converting the state space model into a linear repetition process model, and obtaining a linear matrix inequality condition of system convergence in a high-dimensional space by using a two-dimensional iterative learning control method; further, the intelligent agent is trained in a high-dimensional state space model iterative learning control system with model mismatch and a non-repetitive uncertainty nonlinear system, and finally the intelligent agent is applied to an actual system. The control law gain obtained by the method can better adapt to an original nonlinear system, a deep reinforcement learning algorithm is designed to compensate non-repetitive disturbance, and zero-error tracking of expected output is basically achieved.

The invention relates to the technical field of optical remote sensing satellites, and provides an optical satellite flutter processing method and device, and the method comprises the steps: determining a master slice and at least two slave slices of an optical satellite; based on the at least two slave slices, a successful matching area in the master slice is determined, and any successful matching pixel point in the successful matching area in the master slice can be successfully matched with a corresponding pixel point in all the slave slices; determining three-dimensional coordinate values of successfully matched pixel points in the successfully matched area; the target flutter compensation model based on the angle, the successfully-matched pixel points in the successfully-matched area and the three-dimensional coordinate values of the successfully-matched pixel points are applied to an adjustment system, a flutter compensation result is obtained, the angle comprises a pitch angle and a rolling angle, and the flutter compensation result comprises a pitch angle compensation value and a rolling angle compensation value. Accurate compensation of optical satellite image flutter is realized, and image quality and data processing accuracy are improved.

The invention provides a dead zone compensation method based on three-phase current estimation, and the method comprises the following steps: carrying out the preprocessing and estimation of three-phase current: filtering harmonic components of three-phase current ia, b and c, and obtaining three-phase current ia, b and cBase only containing a fundamental component; calculating the three-phase current ia, b and cT0 at the starting moment and the three-phase current ia, b and cT1 at the ending moment of the next control period by using ia, b and cBase; current polarity judgment: according to ia, b, cT0 and ia, b, cT1, utilizing a sign function to judge the polarity of the three-phase current; compensation mode selection and calculation: selecting a dead-zone voltage compensation mode or a dead-zone duty ratio compensation mode through a dead-zone compensation mode selector according to requirements, and calculating a voltage compensation value or a duty ratio compensation value; and taking the obtained voltage compensation value or duty ratio compensation value as the input of ia, b and cBase. Through filtering harmonic current, on the basis of estimating three-phase current values at the starting moment and the ending moment of the next control period, accurate determination of phase current polarity is realized, and accurate compensation of a dead zone effect can be further realized.

The invention relates to a digital holographic microscopic distortion compensation method and system combined with deep learning. According to the method, a deep learning image segmentation technology and a phase distortion compensation technology are fused, an off-axis transmission-type digital holographic microscopic system is built, a hologram is shot to serve as a data set, then a U-net convolutional neural network is improved, and the improved U-net convolutional neural network is trained by using the data set; and segmenting the tested sample and the background in the hologram, and fitting the unwrapped background phase by using the least square based on the Zernike polynomial so as to realize phase distortion compensation. The invention further provides a digital holographic microscopic distortion compensation system combined with deep learning. The system comprises a module training module, an image processing module and a phase compensation module. Compared with the prior art, the method has the advantages of effectively eliminating distortion generated by the digital holographic system, improving efficiency, improving accuracy, saving calculation cost, improving network training effect and generalization ability and the like.

The invention provides a thermal infrared imager dark current compensation method and device, and the method comprises the steps: obtaining the change data of a target parameter of each pixel in a detector of a thermal infrared imager along with the change of the temperature, and generating a target corresponding relation table containing the target parameter-temperature corresponding relation of each pixel based on the change data, the target parameter-temperature corresponding relation is matched with the dark current-temperature corresponding relation; when the thermal infrared imager measures the temperature, a first target parameter generated by the dark pixel is obtained; determining the temperature corresponding to the current dark pixel in a target corresponding relation table based on the first target parameter; determining the temperature distribution of all the pixels on the detector by combining the current temperature of the dark pixel and the heat transfer characteristics of the detector and the pixels; determining a second target parameter representing the current generation of each pixel in a target corresponding relation table according to the temperature distribution; and correcting the current temperature measurement result of the pixel according to the second target parameter of each pixel.

This invention discloses a single-phase and three-phase combined electromagnetic in-phase power supply system and control method, relating to the field of electrified railway traction power supply technology. It includes a single-phase traction transformer, a three-phase-to-two-phase traction transformer, an electromagnetic in-phase compensation device, and a system main controller. During operation, the single-phase traction transformer undertakes the main traction power supply task, while the three-phase-to-two-phase traction transformer and the electromagnetic in-phase compensation device undertake auxiliary traction power supply and negative sequence management tasks. Each unit performs energy management and coordinated control through the main controller. This invention can transform existing traction substations using conventional three-phase-to-two-phase transformers into in-phase traction power supply systems, eliminating phase separation at the traction substation outlet, enabling the traction substation to provide in-phase power to the traction network while meeting grid-connected power quality requirements. The electromagnetic structure boasts high operational reliability and strong engineering applicability, and can be adapted to the retrofitting of existing electrified railway in-phase power supply lines and the integration of new energy sources along the traction side.

The application discloses a kind of high furnace cloth chute inclination and material line compensation method, comprising: selecting a cloth inclination as reference inclination, and obtaining its corresponding reference material line height;Actual material line height of current high furnace is obtained, and the height difference with reference line is calculated;Material flow trajectory is divided into N continuous compensation intervals according to height difference;Pre-calculate the endpoint compensation value of each compensation interval, and the endpoint compensation value is the angle compensation amount that reference inclination needs to adjust at current material line height to keep the radial position of cloth drop point unchanged relative to reference material line;Determine the compensation interval where actual material line height difference is located, and the actual compensation angle corresponding to actual material line height difference is calculated using linear interpolation according to the upper and lower endpoint compensation value of the interval;Actual compensation angle is applied to reference inclination, and the cloth inclination that should be executed at current actual material line height is obtained.The application realizes the accurate compensation of chute inclination angle to material line height difference.

This application relates to the field of power distribution technology and discloses a method, system, and storage medium for online monitoring of electricity consumption. The method includes: collecting temperature and humidity data of distribution nodes through a three-zone environmental monitoring device to form an environmental data matrix; using a dual threshold algorithm to identify environmental deviations and generate a monitoring termination signal; restoring the environment to the standard range through cooling / heating and humidification / dehumidification adjustments; calculating a compensation coefficient based on the adjustment data; calibrating the electricity meter data for temperature and humidity based on the compensation coefficient; and optimizing power supply quality using a distribution loss environmental correlation algorithm to generate an adaptive scheduling strategy for the distribution network environment. This application solves the problem of inconsistent metering accuracy caused by the lack of an environmental adaptive mechanism in existing distribution network power monitoring technologies, improving the accuracy of power monitoring data under different environmental conditions and the economic efficiency of distribution network operation.

The application relates to the technical field of automobile air conditioning systems, and discloses a temperature compensation device for an automobile air conditioner speed regulating resistor, which comprises a temperature compensation module, a speed regulating resistor module and a support assembly. The temperature compensation device for the automobile air conditioner speed regulating resistor is characterized in that the lead of the thermistor is vertically welded with the compensation circuit board, the constant pressure exerted by the elastic pressing piece in the connecting support is combined, the thermistor is ensured to be in zero-gap contact with the automobile air conditioner speed regulating resistor body, accurate compensation in the whole temperature range is realized, the stability of the fan rotating speed is improved, the connecting support integrates the compensation circuit board and the spring-driven clamping rod structure, the number of parts is reduced compared with a traditional scheme, the heat-conducting sheet is directly connected with the heat-dissipating sheet to replace the external heat-dissipating circuit, the external circuit design is reduced, the specific surface area can be increased through the honeycomb holes, the natural convection efficiency is improved through the micro-arc oxidation layer, the heat-dissipating effect is optimized, and the system complexity is reduced.

This invention belongs to the field of robot control technology and discloses a robot control method and system considering mismatched disturbances and actuator faults, including the following steps: (1) constructing a robot kinematic error model considering mismatched disturbances and actuator faults; (2) designing a fractional-order decoupled sliding surface related to the error; (3) designing a chatter-free superspiral sliding surface reaching law and constructing a gain adaptive barrier function; (4) designing an actuator fault estimator; (5) designing a controller based on the chatter-free superspiral sliding surface reaching law and the actuator fault estimator, and using the controller to perform trajectory tracking control on the robot. This invention enables fast, jitter-free adaptive tracking control of a mobile robot when boundary information of the disturbance derivative is lacking.

This invention discloses a liquid particle counting and detection method based on pulse width characteristics, belonging to the field of particulate matter optical detection. The method includes: acquiring a pulse signal corresponding to the light signal scattered by particles passing through a flow cell; determining the peak value of the pulse signal; extracting the pulse half-width and pulse bottom width based on the peak value; deducing the particle position based on a Gaussian beam model and the aforementioned pulse width characteristics; and compensating the actual peak voltage to the ideal peak voltage under an ideal trajectory based on the deduced particle position for particle size determination. This invention uses multiple parameters for deduction and employs a Gaussian model, fully considering the physical diffraction effect in the light propagation of the optical channel. Compared with background techniques, it provides more accurate particle positioning, thereby achieving precise compensation of the pulse signal amplitude and improving the particle size detection resolution of the liquid particle counter.

The application provides a pulse pile-up effect error correction method of a dTOF module, comprising: determining a second function based on actual depth data of a direct flight time module and a first function; determining a third function based on the first function and the second function, performing Fourier series fitting on error data based on the third function to obtain a periodic error model; and performing error correction on corresponding actual depth data according to the periodic error model; in this way, the overall trend of the actual depth data is separated from the nonlinear error introduced by the pulse pile-up effect by fitting the second function, and only the error component containing periodic fluctuations is reserved; the nonlinear change trend of the error is fitted by the third function, and the periodic fluctuation component is accurately modeled by the Fourier series, which can completely cover the nonlinear error characteristics of the pulse pile-up effect, so that the compensation value completely matched with the actual error can be calculated, thereby realizing accurate compensation of the error.

This disclosure relates to the field of geophysical exploration technology, and particularly to a data processing method, apparatus, device, medium, and product for amplitude compensation factors. The method includes: acquiring seismic trace data and statistically analyzing the initial amplitude values ​​of each seismic trace within a preset time window; performing data preprocessing and amplitude compensation factor calculation on the seismic trace data and initial amplitude values ​​to obtain a total number of amplitude compensation factors; based on the total number of amplitude compensation factors, retrieving the amplitude compensation factor corresponding to each seismic trace, and applying the retrieved amplitude compensation factor to the corresponding seismic trace data to obtain a compensated seismic trace dataset. Therefore, the data processing method for amplitude compensation factors provided in the exemplary embodiments of this disclosure can effectively manage and organize data and achieve rapid mapping retrieval when faced with hundreds of thousands of shot-receiver points and millions of CMP points.

The invention discloses a wool spinning carding machine needle tooth density self-adaptive control method and system based on fiber fineness monitoring, and relates to the field of mechanical intelligent control, and the method comprises the steps: obtaining fiber fineness monitoring data of a target scene and carding area operation characteristic data in real time; acquiring the needle tooth density of the target working condition through the fiber fineness monitoring data; constructing a working condition density distribution model of the needle tooth density of the target carding machine, and initializing the working condition density distribution model; in combination with the working condition density distribution model, the carding area operation characteristic data and a pre-constructed second relation model, calculating expected working condition pin tooth density, and adjusting the working condition density distribution model; and based on the working condition density distribution model, outputting an optimal apparent needle tooth density set value, generating a control instruction and driving a needle tooth density execution mechanism of the carding machine to act. The problems that in the prior art, manual sampling and off-line detection are dependent, information is seriously lagged, the needle tooth density adaptability is poor, and the dynamic operation working condition of the carding machine is not considered are solved.

The invention discloses a sensitive amplifier and a control method thereof, a ferroelectric memory and electronic equipment. The sensitive amplifier comprises a first MOS tube, a second MOS tube, a third MOS tube, a fourth MOS tube, a fifth MOS tube, a sixth MOS tube, a first capacitor, a first switch tube, a second capacitor and a second switch tube. According to the sensitive amplifier, the capacitive load which can be flexibly accessed is added, wrong reading caused by imbalance is reduced, and the reliability of a ferroelectric memory and the integrity of data are improved. Moreover, the sensitive amplifier is simple in circuit, low in cost, capable of adapting to sensitive amplifier imbalance changes caused by process changes, temperature changes and other environmental factors, and better in practicability. The invention can be widely applied to the technical field of electronic devices.

The invention discloses a device and a system for compensating the direct current self-bias voltage of an electrostatic chuck, and relates to the technical field of semiconductor processing, the device comprises a radio frequency impedance matcher, a numerical value conversion unit and an analog-to-digital conversion circuit, the radio frequency impedance matcher is used for providing intermediate parameters related to process conditions, and the numerical value conversion unit is used for converting the numerical value into the analog-to-digital conversion circuit; the method has the advantages that the problem that the potential difference between the electrode and the wafer is increased due to the direct-current self-bias can be compensated through a series of operations such as acquiring the intermediate parameters, calculating the direct-current self-bias approximate value and feeding back and compensating the voltage, so that the condition that the wafer adsorption effect of the electrostatic chuck is poor is improved, and the service life of the electrostatic chuck is prolonged. According to different process conditions such as radio frequency power, gas types, gas flow, cavity pressure and the like, intermediate parameters are accurately obtained, an approximate value of the direct-current self-bias voltage is calculated through a function relation, then accurate compensation of the direct-current self-bias voltage is achieved, and the accuracy of the direct-current self-bias voltage is improved. And the performance and the efficiency of semiconductor processing equipment are improved.

The embodiment of the invention provides a chuck bounce compensation method and device for pipe cutting. The method comprises the following steps: acquiring first sensing data of a target chuck in a gap period of cutting a to-be-processed pipe, preprocessing the first sensing data to obtain second sensing data, determining dynamic run-out data, static coaxiality data and temperature correction of the target chuck according to the second sensing data, and cutting the to-be-processed pipe according to the dynamic run-out data, the static coaxiality data and the temperature correction. Performing fusion processing on the dynamic bounce data, the static coaxiality data and the temperature correction to obtain a bounce deviation value, determining a chuck adhesion risk level of the target chuck, determining a compensation trigger threshold according to the chuck adhesion risk level, determining a first compensation value according to the bounce deviation value and the compensation trigger threshold, and determining a second compensation value according to the first compensation value; and compensating the target chuck according to the first compensation value. According to the method provided by the embodiment of the invention, the intelligent level of chuck bounce compensation is improved, accurate compensation of chuck bounce is realized, and the precision and stability of pipe cutting are improved.

The invention belongs to the technical field of material processing, and discloses a bending angle compensation method in a material processing process, and according to the thickness, the width, the target bending angle and the elastic modulus of a processing material, a springback angle, namely a compensation angle, is obtained through a multiple linear regression model. The invention further provides a material bending angle machining method and system, the target bending angle of the machined material is obtained, the compensation angle of the machined material is determined through the bending angle compensation method, the sum of the target bending angle and the compensation angle serves as the preset machining angle of the machined material, and the material is machined through a bending machine. According to the device, the springback angle generated in the material machining process can be accurately compensated, and the material machining bending angle can be accurately controlled.

This application relates to the field of data processing technology, and in particular to a method, device, platform, and storage medium for charging pile charging data compensation. The method involves acquiring the reported charging data from the target charging pile and determining whether the reported charging data was received within a first preset time period. If not received, the method acquires the time point of the reported charging data and determines the missing time point and corresponding missing charging data for the charging pile. Next, it determines the first power value of the reported charging data and uses the reported charging data to perform power compensation calculations on the missing charging data to obtain a second power value for the missing charging data. Finally, by combining the first and second power values, the first total charging amount of the target charging pile is calculated. This application solves the problem of missing charging pile data and ensures the accuracy and completeness of charging data through power compensation, providing a reliable basis for charging pile management and electricity billing.

The invention discloses an antenna phase center track error compensation method based on image registration, and belongs to the field of SAR data processing. The method comprises the following steps: imaging SAR echo data and a corresponding antenna phase center track by using a video backward projection algorithm to obtain a sub-aperture SAR image; registering the SAR image frame sequence to obtain a transformation relation, taking the first frame as a reference during registration, and registering a subsequent frame image to the first frame; calculating a rotation angle between the image frames; performing low-order fitting on the mismatching amount; establishing a relationship between the SAR image frame sequence mismatch amount and the antenna phase center trajectory; and compensating the phase center track of the antenna by using the fitted mismatch amount. According to the method, motion error compensation is carried out by using the video SAR inter-frame mismatching amount, the mismatching amount of the video SAR image frame sequence is obtained through a registration algorithm, accurate compensation of the antenna phase center track is realized, finally, the SAR image imaging quality is effectively improved, and the method has relatively high robustness.