261 results about "Noise threshold" patented technology

The invention relates to the field of concrete crack monitoring, in particular to a solid waste aggregate concrete crack real-time monitoring method and system, and the method comprises the steps: collecting sensor data in real time; calculating a deviation value between the current data and the initial reference data; when the deviation value exceeds a threshold value, the deviation value is used for compensating the subsequently collected sensor data; updating the initial reference data by using the mean value of the compensated data in the previous period; processing the compensated data in different channels, extracting strain accumulation trend characteristics in a long-term channel through a large time window, and extracting acoustic emission instantaneous characteristics in a short-term channel through a small time window; setting a long-term feature weight to be higher than a short-term feature weight, calculating a long-term feature change rate, and when the change rate is stable, improving the long-term weight and reducing the short-term weight, and filtering features lower than a noise threshold in a short-term channel; and fusing the weighted long-term features with the effective short-term features, and inputting the fused features into a pre-training model to obtain a fracture state prediction result in a future predetermined period.

The invention discloses a self-adaptive filtering method and system for an intelligent electric energy meter, and relates to the technical field of power grid signal processing, and the method comprises the steps: obtaining a power grid voltage and current signal set collected by a target intelligent electric energy meter historically, and obtaining a signal noise spectrum data set and a noise level evaluation result through spectrum analysis and noise level evaluation; if the result exceeds a preset noise threshold value, identifying an interference type and building a noise adaptive filtering multi-channel, integrating and deploying the noise adaptive filtering multi-channel into a target intelligent electric meter to complete signal filtering test and effect evaluation, and dynamically optimizing and generating an electric energy meter adaptive filtering multi-channel based on the obtained multi-channel filtering effect index parameter; and finally, signal filtering closed-loop control is realized. The technical problem that a traditional electric energy meter is weak in filtering pertinence and cannot adapt to dynamic noise of a power grid in electric power related scenes with complex dynamic interference is solved, and the technical effects that the electric variable measurement accuracy of the electric energy meter is improved, and the adaptive capacity of the electric energy meter to different interference scenes is enhanced are achieved.

The invention discloses a high-frequency oscillation mode identification method and device of a power system, equipment and a medium. The method comprises the following steps: acquiring an original signal from the power system; performing parameter optimization on a preset variational mode decomposition model by adopting a black wing plinux optimization algorithm to obtain a target variational mode decomposition model; calling a target variational mode decomposition model to decompose the original signal to obtain a plurality of intrinsic mode components; calculating an autocorrelation coefficient corresponding to each intrinsic mode component, and selecting at least one oscillation characteristic component according to a comparison result of the autocorrelation coefficient and a preset noise threshold; and carrying out oscillation mode identification on each oscillation characteristic component by adopting a preset energy operator, and determining corresponding dominant high-frequency oscillation information. Therefore, high-frequency oscillation information identification of the broadband signal of the power grid is realized, and important oscillation information in the broadband signal is effectively prevented from being lost.

The invention discloses a cable defect analysis method and system in a cable laying process, and the method comprises the steps: dividing a current data sequence according to a preset data division strategy, obtaining at least one current data sub-sequence, and obtaining cable images of different monitoring positions according to the at least one current data sub-sequence; preprocessing the cable image to obtain a target cable image, and performing cable contour and background region segmentation on the target cable image to obtain a cable contour image; calculating a cable area based on the cable contour image, and extracting cable surface features; analyzing the surface features of the cable based on a set noise threshold, and removing noise features to obtain optimized surface features of the cable; and analyzing the surface features of the optimized cable based on the defect detection model, and outputting surface defect information. The accuracy and the real-time performance of defect detection are remarkably improved, the manual inspection cost and the leakage detection risk are reduced, and reliable guarantee is provided for safe operation of the cable.

In certain aspects, an active noise control (ANC) method and system for a headphone are disclosed. It is determined whether a music signal is played by a speaker of the headphone. Responsive to the music signal not being played by the speaker and a noise level of an ambient noise signal being greater than a noise threshold, a set of noise feedforward (FF) signals is obtained based on a set of FF microphone signals acquired by a set of FF microphones of the headphone. A noise feedback (FB) signal is obtained based on a first FB microphone signal acquired by a FB microphone of the headphone. A set of leakage monitoring parameters is obtained based on the set of noise FF signals and the noise FB signal. A set of FF filter parameters for a set of FF filters is adjusted based on the set of leakage monitoring parameters.

The invention provides a unit noise centralized adjustment method and system, a frequency conversion unit and an air conditioner, and the method comprises the steps that the current area temperature and unit noise data are obtained in real time, and the unit load needed by the current area is calculated according to the current area temperature and the area target temperature; according to the capacity and the accumulated operation time of each unit, under the condition that the unit load is met, the number of the units needing to be started is determined, and then frequency modulation is conducted step by step to avoid the resonant frequency; whether the current unit noise data is larger than a preset environment noise threshold value or not is judged, if yes, frequency modulation is carried out on the basis that the unit load needed by the current area is met, and the current unit noise data is made to be smaller than or equal to the preset environment noise threshold value. The technical problem that modular scheduling cannot be carried out in the prior art is solved, noise and energy efficiency in the whole system are kept balanced and efficient by searching a balance point between noise reduction and unit capacity, and the effects of noise reduction and energy saving are achieved.

The invention relates to the technical field of voice control of household electrical appliances, particularly provides a voice control method of an intelligent household electrical appliance and the intelligent household electrical appliance, and aims to solve the problem that an existing voice control system cannot accurately recognize an effective voice instruction in a noisy environment. In order to achieve the purpose, the voice control method of the intelligent household electrical appliance comprises the following steps: after a voice control function is started, collecting audio data within a preset duration; environment noise and voice instructions of the surrounding environment in the audio data are recognized; when the environmental noise is greater than or equal to a preset noise threshold value, acquiring a voice keyword in the voice instruction; according to the voice control method disclosed by the invention, when the surrounding environment noise is greater than the preset noise threshold value, the environment noise and the voice instruction in the acquired audio data can be identified, and the intelligent household electrical appliance is controlled by identifying the keyword in the voice instruction; the accuracy of recognizing the voice instruction in the audio data is improved.

Techniques to detect and differentiate the clutter patterns received by a sensor, such as a weather radar, from the desired signal. The systems and analysis techniques of this disclosure may separate the target signal from noise, interference, and clutter, in situations where the desired signal amplitude may be below a noise threshold. The systems and techniques of this disclosure may include algorithms to analyze signals from weather radar, and other sensors, when the clutter predominates and prevents the desired signal from being identified. Differentiating clutter from the received weather signals may be an issue in any situation when an interference is co-present with the desired signal. The challenge to isolate the desired signal from noise and clutter may increase multifold when the antenna size decreases. Therefore, the techniques of this disclosure may be useful for small sized weather radar antennae.

The invention provides an optimized otoacoustic reflected signal detection method, and aims to improve the accuracy of quality analysis and anomaly recognition of otoacoustic signals, the method mainly comprises the steps of TE noise threshold optimization, artifact elimination, similarity calculation, wavelet noise reduction, DP data processing and the like, the noise threshold is dynamically adjusted through self-adaptive threshold control, and the accuracy of the quality analysis and anomaly recognition of the otoacoustic signals is improved. The signal reliability is enhanced; a T-shaped window and a band-pass filtering technology are utilized, noise is effectively filtered, and the signal-to-noise ratio is improved; the signal matching degree and stability are further enhanced through the frequency domain coherence spectrum method and wavelet noise reduction; the continuous sound processing and small cavity identification strategy ensures the data integrity and accurately distinguishes the influence of different environments and earplug states.

Techniques to detect and differentiate the clutter patterns received by a sensor, such as a weather radar, from the desired signal. The systems and analysis techniques of this disclosure may separate the target signal from noise, interference, and clutter, in situations where the desired signal amplitude may be below a noise threshold. The systems and techniques of this disclosure may include algorithms to analyze signals from weather radar, and other sensors, when the clutter predominates and prevents the desired signal from being identified. Differentiating clutter from the received weather signals may be an issue in any situation when an interference is co-present with the desired signal. The challenge to isolate the desired signal from noise and clutter may increase multifold when the antenna size decreases. Therefore, the techniques of this disclosure may be useful for small sized weather radar antennae.

The invention provides a force direction feedback system and method of pneumatic pressure. The system generates a first oscillation signal changing along with air pressure and a second oscillation signal with fixed frequency through a signal conversion module; and the counter counts the cycles of the two paths of oscillation signals. The back noise calibration module samples environment back noise by using a second oscillation signal in a frequency division manner, and eliminates back noise interference in a force count value through a subtractor, so that the problem of detection deviation caused by environment air pressure fluctuation is solved; and the dual-threshold comparison module screens the difference signal through a back noise threshold and an anti-shake threshold, generates a force conversion value, and avoids error output caused by slight fluctuation and shake. The differential operation module processes the force conversion value in combination with the second oscillation signal, the accurate pneumatic force value is output through signal correlation, the pneumatic direction can be distinguished by means of comparison with the fixed reference, and finally accurate and stable feedback of the pneumatic pressure force and direction is achieved.

The invention relates to the field of image processing, in particular to a fish and shrimp denoising enhancement and intelligent identification method based on a two-dimensional sonar image, which comprises the following steps: extracting a sonar image water background, dividing regions and calculating a signal-to-noise ratio, dynamically adjusting a noise threshold, and denoising to obtain a salient image. And a multi-rotation-angle convolution kernel set is constructed based on a size statistics preset ellipse parameter. And clustering salient image pixel points, setting a bounding rectangle as a suspected target area, and judging the consistency of continuous frame targets through an optical flow algorithm. And dynamically adjusting a convolution kernel weight enhancement image, training a YOLO model to recognize a target, superposing recognition results and providing statistical information. According to the method, the fish and shrimp targets with variable sizes and directions in the sonar image are accurately identified and tracked by utilizing dynamic noise threshold adjustment and a multi-angle convolution kernel set in combination with a denoising enhancement technology based on a signal-to-noise ratio and an optical flow algorithm, the limitation of a traditional method is effectively overcome, and reliable technical support is provided for target detection in a complex underwater environment.

The invention discloses a seabed obstacle identification method based on multi-beam point cloud data and related equipment. The method comprises the following steps: acquiring the multi-beam point cloud data of a target area; performing statistics on the basis of the elevation difference between the adjacent sounding point clouds to obtain a frequency-based elevation difference histogram; fitting an attenuation model according to the elevation difference histogram, determining a noise threshold value based on the attenuation model, and dividing the multi-beam point cloud data into a real terrain point cloud and a noise point cloud by using the noise threshold value; a multi-beam real terrain point cloud is obtained through iterative denoising division; and based on the multi-beam real terrain point cloud, obstacle identification is carried out by using the elevation slope, and obstacle information of the target area is obtained. According to the method, through the automatic processes of determining the noise threshold value through the fitting attenuation model and iterative denoising, a traditional interactive filtering method depending on experience of technicians is replaced, the data processing efficiency is greatly improved, and the method can be widely applied to the technical field of data processing.

The invention discloses a scene-adaptive multipath time delay alignment method and device for a wireless communication system, and the method comprises the steps: employing an SISO channel detection system to actually measure channel data, employing rectangular or RRC shaping filtering to generate a CAZAC oversampling sequence as a template function, calculating a cross-correlation matrix of an IQ signal and the template function, and enabling the CAZAC oversampling sequence to serve as the template function; a noise threshold is calculated based on the median power and the false alarm rate, dynamic threshold filtering is executed, a cross-correlation matrix after denoising is generated, and preliminary estimation of the time domain impulse response is completed; extracting multipath time delay and complex gain from the cross-correlation matrix by using an SAGE algorithm; drawing a power delay spectrum PDP for the channel impulse response; and performing alignment operation on the PDP in combination with the geographical location information of the transceiver during actual measurement. According to the method, the defect of traditional alignment in a severe scene is overcome, the statistical modeling accuracy is improved, the multipath time delay can be effectively aligned through experimental verification, and reliable support is provided for channel modeling.

A voice mixing conversion method includes: performing a noise reduction processing on the initial generated speech based on a noise threshold to generate a post-noise reduction speech; calculating a first quality score and a second quality score, wherein in response to a number of the initial generated speech being 1, the first quality score is calculated based on the initial generated speech, and the second quality score is calculated based on the post-noise reduction speech; and determining whether the first quality score is greater than the second quality score, wherein in response to the first quality score being greater than the second quality score, the initial generated speech is output, otherwise the post-noise reduction speech is output.

The invention provides a communication method and device. The method comprises that a first communication device sends first information to a second communication device, the first information can comprise at least one of a first parameter, a second parameter or a third parameter, the first parameter is used for indicating a feedback mode of a CIR measurement report, the second parameter is used for indicating a reference CIR branch, and the third parameter is used for indicating configuration of a noise threshold. Therefore, according to the method, at least one parameter of the first parameter, the second parameter or the third parameter is added in the first information, flexible perception control parameter configuration can be supported, flexible feedback of the CIR measurement report can be realized, and different application scene requirements can be met.

The invention provides a server fan speed regulation method and device based on a BMC (Baseboard Management Controller). The method provided by the invention comprises the following steps: determining the type of a server based on the condition that the server is equipped with a noise sensor; matching a corresponding noise determination method based on the server type, and determining a real-time noise value based on the noise determination method; comparing the real-time noise value with a noise threshold value, and determining a corresponding noise interval; acquiring a CPU utilization rate and a GPU utilization rate of the server; calculating a feedback value based on the CPU usage rate and the GPU usage rate; and in the noise interval, determining a corresponding speed regulation method based on a matching relationship between the feedback value and a plurality of feedback intervals, and regulating the speed of a fan on the server based on the speed regulation method. According to the server fan speed regulation method and device based on the BMC provided by the invention, dual optimization of heat dissipation efficiency and low noise is realized by intelligently regulating and controlling the rotating speed of the server fan.

The invention provides a control method and device of a twin-tub washing machine, the twin-tub washing machine and a storage medium. The method comprises the steps of obtaining operation noise of the twin-tub washing machine, and determining whether the operation noise is larger than a noise threshold value or not; under the condition that the operation noise is larger than the noise threshold value, operation parameters of a first barrel and a second barrel of the double-barrel washing machine are obtained; control parameters of the twin-tub washing machine are determined according to the operation parameters of the first tub, the operation parameters of the second tub and the operation noise, the control parameters are adopted to control the twin-tub washing machine so as to eliminate resonance of the twin-tub washing machine, and the control parameters comprise the control duration and the control rotating speed. The problems that an existing twin-tub washing machine is prone to causing the resonance phenomenon, the service life of equipment is shortened, and user experience is affected are solved.

The present invention belongs to the technical field of capacitive touch buttons, and particularly relates to a dual-frequency dual-value detection method applied to touch. It includes: initialization setting; using two frequency points for touch scanning respectively, and the two frequency points are dynamically changing frequency points; after collecting touch values ​​at the two frequency points for multiple times, averaging the multiple touch values ​​at the two frequency points respectively, performing a first-level filtering, and the average value is used for subsequent key state determination; by calculating the current touch average value of the two frequency points minus the last touch average value, the difference is obtained, and it is determined whether the difference is greater than a preset noise threshold; the touch average values ​​of the two frequency points are respectively subtracted from the corresponding base values ​​to obtain the difference; judging the noise state of the current key; updating the base value of the current key; the present invention solves the problem that single frequency point detection is susceptible to strong magnetic interference and multiple fixed frequency points respond slowly, while improving resistance to strong interference and sensitivity, it can reduce hardware costs.

A weather prediction method includes generating radiance differences as a difference between measured radiances from satellites and forecast satellite radiances generated by a radiative transfer model and forecasted state profiles output by a numerical weather prediction (NWP) model. When the radiance differences exceed a noise threshold, the method includes generating updated state profiles by generating radiance-sensitivities using a Jacobian model and the forecasted state profiles; constructing a Kalman-gain matrix from background error covariance (BEC) matrices and the radiance-sensitivities; generating filtered state-profile changes from the Kalman-gain matrix and the radiance differences; updating the state profiles by adding the filtered state-profile changes to the forecasted state profiles to yield updated state profiles.

The present invention relates to the technical field of correlation operations and discloses a correlation operation method. First, a sequence to be quantized is determined in two related sequences according to a quantization indication, and the sequence to be quantized is quantized based on a quantization bit width to obtain a quantized output sequence. Then, based on the calculated quantization noise sequence of the sequence to be quantized, the quantization error of the two related sequences is calculated, and the quantization error is compared with a preset noise threshold. When the quantization error is greater than or equal to the noise threshold, the quantization bit width is gradually increased to repeatedly quantize the sequence to be quantized until the quantization error is less than the noise threshold. When the quantization error is less than the noise threshold, a correlation operation is performed on the two related sequences to obtain a correlation operation result. The above method can adaptively adjust the quantization bit width based on the comparison result of the quantization error and the preset noise threshold, and achieve an optimized balance between computing performance and power consumption while ensuring the accuracy of the correlation operation.

Provided in the embodiments of the present application are an audio control method and apparatus, and an electronic device. The method comprises: during the process of a first electronic device playing audio, determining a first difference value, wherein the first difference value is the difference value between a current signal-to-noise ratio and a target signal-to-noise ratio; when the first difference value is less than a first threshold value, calling a sound field control system of the first electronic device to reduce ambient noise, so as to increase the current signal-to-noise ratio until the first difference value is greater than or equal to the first threshold value; and if the first difference value is still less than the first threshold value when the ambient noise is reduced to be less than or equal to a first noise threshold value, increasing the current signal-to-noise ratio by means of increasing the volume until the first difference value is greater than or equal to the first threshold value. By means of the method, apparatus and electronic device, a sound field control function and a volume control function of the electronic device are adaptively combined, the ambient noise is first reduced on the basis of sound field control, and volume adjustment is then performed when the sound field control cannot reach a target effect, such that a user does not need to perform active adjustment, an improvement in an audio playing effect is facilitated, and it is also beneficial to the hearing health of the user.

The invention discloses a gas insulation cabinet partial discharge monitoring method and device based on edge calculation, and relates to the technical field of gas insulation cabinets. The method comprises the following steps: collecting environmental data and background electromagnetic noise signals of the gas insulation cabinet, calculating an environmental noise correlation coefficient by using a maximum information coefficient method, combining an environmental deviation value to obtain a comprehensive environmental disturbance index, and correcting a preset background noise threshold value to obtain a corrected noise threshold value; if the real-time electric signal amplitude exceeds the corrected noise threshold, marking the data as partial discharge signal data; denoising the partial discharge signal data by adopting an improved ensemble empirical mode decomposition adaptive noise method, and extracting a discharge feature vector; calculating the mahalanobis distance of each feature vector in the discharge feature vector sequence, obtaining the discharge similarity, obtaining a homologous discharge link, extracting the feature data of the homologous link, inputting the feature data into a BP neural network model based on a dung beetle optimization algorithm, outputting the type of partial discharge, and carrying out the early warning, thereby achieving the monitoring of the partial discharge of the gas insulation cabinet.

The invention discloses a household appliance control method, a household appliance and a storage medium, and relates to the technical field of household appliances, the household appliance control method comprises the following steps: determining user parameters of a user in a working area according to image data and / or audio data corresponding to the current working area of a target household appliance, obtaining a transfer coefficient between the target household appliance and the user; determining a noise threshold value corresponding to the user according to the user parameter; determining a noise value corresponding to the position of the user according to the current working condition of the target household appliance and the transfer coefficient; and if the noise value is greater than the noise threshold value, adjusting operation parameters of the target household electrical appliance so as to reduce noise generated by the target household electrical appliance and improve the use comfort of the household electrical appliance.

An active noise cancellation (ANC) system is provided with at least one loudspeaker to project anti-noise sound within a passenger cabin of a vehicle in response to receiving an anti-noise signal and at least one microphone to provide an error signal indicative of noise and the anti-noise sound within the passenger cabin. An adaptive filter controller is programmed to filter the error signal to obtain a noise reduction ratio, and to adjust a step size and / or leakage parameter based on a comparison of the noise reduction ratio to a noise threshold. A controllable filter generates the anti-noise signal based on the adjusted step size and / or leakage parameter.

The present invention relates to a silent control method, control device, and air conditioner for an air conditioner. The silent control method comprises: obtaining an indoor ambient temperature and an indoor set temperature; determining an indoor heat exchange requirement and a corresponding noise threshold value based on the indoor ambient temperature and the indoor set temperature; obtaining a noise detection value, and controlling the operating state of an indoor unit based on the indoor heat exchange requirement, the noise threshold value, and the noise detection value. This method differs from conventional silent control methods for air conditioners in that it uses ambient temperature and noise parameters as a basis for determination, adjusts the speed of the indoor fan, the speed of the sweep motor, and the operating angle of the air guide plate, and through linked control ensures the air conditioner's heat exchange capacity while achieving silent sweeping.

The invention discloses a waveform feature extraction method and system for irregular waveforms of a hyperspectral laser radar, and aims at solving the problem that asymmetric waveforms, weak echoes and overlapped echoes in multi-channel full-waveform laser radar signals are difficult to accurately decompose, modeling full-waveform signals collected by multiple spectral channels into superposition of echo components and background noise. A multi-channel waveform is preprocessed through noise threshold and pulse width combined constraint, the waveform position is determined by adopting a gravity center discrimination method, and time synchronization calibration of each channel signal is realized in combination with a multi-echo quality index. The method further utilizes a cubic B-spline function to carry out modeling on transmitted waveforms of all spectrum channels, carries out weighted accumulation on multi-channel echo signals to enhance weak echo signals, and adopts a multi-channel interconnection decomposition optimization strategy to realize accurate extraction of irregular waveform features under the constraint condition of keeping time parameters of sub-echoes of all the channels consistent.

The embodiment of the invention provides a method and device for reducing noise, electronic equipment and a storage medium, the method and device are applied to an intelligent bedstead, the intelligent bedstead comprises a plurality of boxes, a keel frame and a driving motor, the driving motor is used for driving any one of the boxes to move, the boxes are used for supporting the keel frame, and the keel frame is used for supporting the boxes. The method comprises the steps of determining a moving target box body and a target position of the target box body in response to a selection instruction of a user, and predicting moving noise generated when the target box body is driven by a driving motor to move from a current position to the target position at a preset speed; obtaining the sensitivity of a target user in a sleep state on the intelligent bed frame to noise; judging whether the moving noise is smaller than or equal to a noise threshold; and under the condition that the moving noise is greater than a noise threshold value, according to the sensitivity of the target user to the noise, determining a driving parameter of a driving motor so as to control the noise generated by moving the target box body within a preset time length to be less than or equal to the noise threshold value.

The utility model discloses a refrigerator press room noise monitoring device which comprises a plurality of sound acquisition devices, a sound analysis module and a control module. The vibration sensors are a microphone installed in a press chamber, a first vibration sensor installed on the outer surface of a compressor, a second vibration sensor installed on a refrigerant transmission pipeline, a third vibration sensor installed on a fan shell and a fourth vibration sensor installed on the outer surface of a condenser. Each sound collection device is electrically connected with the sound analysis module, the sound analysis module is used for processing noise collected by each sound collection device, the sound analysis module is electrically connected with the control module, and a noise threshold value corresponding to each sound collection device is preset in the control module; and the control module is used for comparing the processed noises with the corresponding noise thresholds respectively, and if the noises exceed the noise thresholds, an alarm is given, so that a user can process the noises in time.

The embodiment of the invention provides a water pump noise control method, a heat management system, electronic equipment and a vehicle. The water pump noise control method comprises the steps of obtaining a target rotating speed of a motor in response to that a detected noise value of a water pump exceeds a preset noise threshold value; acquiring motor parameters of the motor; calculating feedback torque distribution of the motor through the rotating speed prediction model, determining a target control strategy from a plurality of pre-configured control strategies based on the feedback torque distribution, and outputting a predicted rotating speed and parameter information of the motor; and outputting a corresponding voltage control signal to a driving circuit connected with the motor based on the predicted rotating speed. The change trend of the actual rotating speed is estimated by taking the target rotating speed as the expected value through the rotating speed prediction model to obtain the predicted rotating speed, the controller works according to the control strategy corresponding to the controller parameters, and on the basis, the predicted rotating speed outputs the corresponding voltage control signal to the driving circuit, so that the motor rotating speed of the motor can accurately reach the predicted rotating speed, and the driving efficiency is improved. And a better noise suppression effect is achieved.