227 results about "Noise detection" patented technology

The invention relates to an attribution analysis method and device for active causes of a cloud disk APP user. The method comprises the following steps: acquiring behavior characteristic data of the cloud disk APP user in a current statistical period; preprocessing the behavior characteristic data, wherein preprocessing is used for noise detection and filtering and abnormal user detection; based on the preprocessed behavior characteristic data, training a fusion prediction model used for predicting whether the user is retained in the next statistical period; calculating the contribution degree of each behavior feature to a prediction result based on the prediction result of the fusion prediction model; and determining an attribution factor which causes the user to be active in the current statistical period based on the contribution degree. According to the scheme, through training the fusion prediction model, time sequence dependence and complex feature interaction in a behavior sequence are accurately captured, so that high-precision prediction of user retention is realized; and the contribution degree of each behavior feature to a prediction result is calculated, so that the attribution factors causing the user activity are reversely deduced and determined, and the real motivation of the user activity can be accurately captured.

The invention provides an intelligent park multi-dimensional environmental parameter real-time monitoring and intelligent early warning system, and relates to the technical field of environmental monitoring, and the system comprises a base, a bottom column is fixed at the center of the top of the base, and the top of the bottom column is rotatably provided with a central shaft; the top of the center shaft is rotationally connected with the top plate, a photovoltaic panel is fixedly installed at the top of the top plate, and a noise detection device is fixed to the periphery of the top of the top plate; the air detection assembly comprises a mounting ring, the mounting ring is rotationally mounted on the surface of the center shaft, a detection box is fixed to the outer side of the mounting ring, the air quality around the device is detected through the air detection assembly, and the pollution degree of a water area near a park is detected through the water quality detection assembly; the pollution degree and humidity of soil around the device are detected through the soil detection assembly, a detection result is fed back to the display screen, and when detection data exceed a preset value, early warning is conducted through the display screen.

The utility model discloses a limiting device for track noise detection, which relates to the technical field of track traffic noise detection and comprises a square mounting frame. The two mounting plates are symmetrically arranged on the mounting frame, and the two mounting plates are connected with the mounting frame in a sliding and locking mode; two first limiting mechanisms; two clamping jaw parts; and two second limiting mechanisms. According to the utility model, firstly, the detected track is supported by the second limiting mechanism to ensure that the detected track is in a horizontal detection position, and then the detected track is limited and fixed by the first limiting mechanism and the clamping jaw part, so that the connection condition between the clamping jaw part and the detected track can be observed; whether the detected track is flat and qualified or not is preliminarily observed, and then levelness detection is conducted on the detected track through flatness detection equipment. The purpose of detecting the flatness of the surface of the track is achieved.

A processing circuit that processes a detection signal detected by a sensor element includes a main circuit that generates an output signal in response to the detection signal, an alternative circuit that generates an alternative signal in response to the value of the detection signal at a timing different from that of the output signal, a noise detection unit that outputs a noise signal that indicates the presence or absence of noise in the detection signal, and a selection unit that selects and outputs either the output signal or the alternative signal in response to the noise signal, and the selection unit outputs the alternative signal for a period longer than the noise detection period.

The invention provides a vibration noise detection device and method of a wall breaking machine, and mainly relates to the field of vibration noise detection. A vibration noise detection device of a wall breaking machine comprises a positioning mechanism arranged in a detection chamber and a plurality of noise detection mechanisms, coaxial placement and height adjustment of the wall breaking machine are achieved through clamping and positioning of the positioning mechanism, and the wall breaking machine can be located at the detection height on different workbenches. At least four noise detection mechanisms are arranged, each noise detection mechanism comprises a supporting arm, a supporting cavity is formed in the inner side of the front end of each supporting arm, a telescopic arm is arranged on each supporting cavity in a sliding mode, and a sound level meter and a distance sensor are arranged at the front end of each telescopic arm. The invention has the following beneficial effects: the invention creatively provides a structure and a method for respectively detecting noise by a plurality of workbenches, so that the noise intensity of the wall breaking machine in the daily use process can be more reasonably represented.

The application discloses an arc fault detection device for a low-voltage circuit breaker and relates to the technical field of low-voltage circuit breaker fault detection.The device comprises a workbench, wherein an elevated platform is installed on a reference plate of the workbench;an infrared temperature measurement probe is installed on a first supporting rod of a first support;an industrial frequency magnetic field measuring device is installed on a second supporting rod of a second support;first and second inclined surfaces are symmetrically arranged on the left and right sides of a third support;third and fourth supporting rods are respectively installed on the first and second inclined surfaces;first and second noise detection probes are respectively installed on the inner ends of the third and fourth supporting rods;and a fifth supporting rod is arranged between the third and fourth supporting rods, and a third noise detection probe is installed on the bottom end of the fifth supporting rod.The device eliminates the blind area of traditional single-point detection, can capture complete high-frequency noise spectrum radiated by various types of fault arcs in the circuit breaker without dead angles, ensures complete extraction of characteristic signals, and avoids misjudgment caused by signal attenuation or directionality omission.

This application discloses a wind tunnel-based noise detection method, apparatus, storage medium, and electronic device. The method includes: when testing a test piece in a wind tunnel, acquiring a measured noise spectrum in the testing environment and obtaining the operating frequency of the wind tunnel's inverter; matching the background noise spectrum corresponding to the operating frequency in a background noise spectrum library based on the operating frequency; aligning and dividing the measured noise spectrum and the background noise spectrum using a frequency band division rule adapted to the inverter's operating frequency to obtain multiple frequency band units; based on the acoustic energy density of the measured noise spectrum and the background noise spectrum within each frequency band unit, extracting the energy component corresponding to the background noise spectrum from the measured noise spectrum through directional orthogonal projection, and reconstructing the spectrum of the residual energy after extraction to obtain the effective aerodynamic noise spectrum of the test piece; and calculating the noise detection result of the test piece based on the effective aerodynamic noise spectrum.

This invention provides a noise evaluation apparatus and method for microscope devices. [Solution] A device for evaluating the effect of noise acting on a microscope device, the device comprising: a microscope device that detects a signal generated by a sample and forms a corresponding detection signal; a noise sensor unit that detects noise and forms a corresponding noise detection signal, and includes a mechanical noise sensor for detecting mechanical noise and a magnetic field sensor for detecting magnetic field noise; a control unit that generates a monitor signal corresponding to the drive signal of the microscope device; and a signal processing unit that receives one or more of the noise detection signal and the monitor signal and performs signal processing, the signal processing unit calculates the correlation between one or more of the noise detection signal and the monitor signal and the detection signal.

A method of noise reduction, including: collecting configuration data with agents from configuration items, transmitting the collected configuration data to a server for processing, blocking receipt of selected configuration data by a server load protection module to protect the server from overload, storing the configuration data at the server in a storage, processing the configuration data with a batch noise detection module that identifies noise in the configuration data; the batch noise detection module deduces rules based on the identified noise and stores the rules in a data knowledge repository, receiving a user query from a user using a front-end module, analyzing the configuration data with an analytical module to transform the configuration data to be aligned with the user query, responsive to the analysis applying a runtime noise detection module to identify and suppress transformed configuration data to remove irrelevant transformed configuration data.

The utility model relates to the technical field of bearing detection, in particular to a bearing noise double-measurement mechanism and a tapered roller bearing full-automatic production line, and the bearing noise double-measurement mechanism comprises a carrying manipulator, a positioning assembly, a loading assembly, a speed type measuring head assembly and an acceleration type measuring head assembly. According to the bearing noise double-testing mechanism and the tapered roller bearing full-automatic production line, the carrying manipulator, the positioning assembly, the loading assembly, the speed-type measuring head assembly and the acceleration-type measuring head assembly are matched, a speed-type and acceleration double-testing technical means is adopted, noise detection is carried out on products, the detection result is more stable and reliable, and the production efficiency is improved. The product quality is improved, and meanwhile the automatic production requirement is met.

The invention provides a noise testing device and a testing system, and belongs to the technical field of automobile braking system testing. According to the noise testing device, a traditional mechanical elastic element is replaced by a closed load cavity and pressurized gas, and axial counter force is directly generated by compressing gas in the cavity when a transmission part stretches out, so that noise introduced by additional structure friction or spring oscillation is thoroughly eliminated while a simulated load is braked; according to the utility model, the noise detection module is arranged, so that a signal received by the noise detection module only comes from a product to be tested, the purity and reliability of a test result are remarkably improved, and by virtue of the characteristic that the gas pressure is continuously adjustable, the same device can be quickly adapted to different load requirements, the overall structure is simplified, and the maintenance and operation cost is reduced.

This invention discloses a dynamic noise active suppression suspension system for air-to-ground electromagnetic detection, belonging to the field of geophysical exploration technology. It includes a coil vibration suppression system connected to a UAV, a receiving coil sensor, and a coil attitude control system. The coil vibration suppression system is connected to the pitch frame of the coil attitude control system via a carbon fiber tube assembly. The pitch frame is connected to the receiving coil sensor via two roll shafts. One roll shaft is connected to a first motor, and a second motor is mounted on the frame edge of the pitch frame perpendicular to the roll shaft. Both the first and second motors are connected to a controller. The coil vibration suppression system suppresses the vibration amplitude of the receiving coil and absorbs the motion noise generated by the receiving coil vibration. The controller collects and controls the first and second motors to adjust the attitude of the receiving coil, suppressing the motion noise generated by the attitude change of the receiving coil. This application significantly reduces the motion noise of air-to-ground transient electromagnetic reception data, enabling low-noise detection using air-to-ground transient electromagnetic methods in complex environments.

The application discloses a kind of vehicle-mounted contact network insulator discharge noise detection method, storage medium and system, the method includes sampling and carrying out frequency domain filtering, filtering by signal duty cycle and carrying out spatial consistency filtering.The application is according to the characteristics of vehicle-mounted contact network insulator discharge signal, including the width, frequency, jump and other characteristics of discharge signal, designs specific filtering algorithm, effectively utilizes the signal characteristics of vehicle-mounted detection along-line equipment data, and engine background noise, cylinder exhaust sound and vibration noise do not comply with this signal characteristic.The application is simple and convenient, not affected by speed, and can be used for various vehicle models.

Systems and methods are disclosed that monitor for supply noise from a power source using a voltage noise monitor (VNM). For instance, the VNM may include voltage sense circuitry comprising a controllable resistor that is controlled using threshold information. The resistance of the controllable resistor may be changed based on closing and / or opening one or more switches associated with step resistors using the bits from the threshold information. Furthermore, the VNM may include digital circuitry that comprises a hold finite state machine and a sticky hold counter. Using the digital circuitry, the VNM may be configured to hold a noise detection event for a plurality of clock cycles. In addition, the VNM may perform a calibration process based on setting two voltages for the power source to obtain two codes, and determining a transfer function based on the two voltages and the two codes.

An object is to provide a noise filter that can achieve high reliability. A noise filter includes: a noise detection unit which detects a common mode noise flowing through an electric path; an amplification unit which, on the basis of the common mode noise detected by the noise detection unit, generates a cancellation signal for canceling out the common mode noise; an injection unit which injects the cancellation signal into the electric path; an abnormality detection unit which detects abnormality of the noise filter on the basis of output voltage or output current of the cancellation signal, and outputs an abnormality detection signal; and a protection circuit which inhibits an abnormal cancellation signal from being injected into the electric path, on the basis of the abnormality detection signal.

The invention discloses a multifunctional automobile engine noise detection system which comprises a signal acquisition module, a data preprocessing module, a noise analysis module, a multifunctional application module and a result output module. The signal acquisition module synchronously acquires acoustics, vibration, thermal imaging and working condition multi-source signals of an engine, the data preprocessing module performs feature extraction and fusion on the acquired multi-source signals to generate a multi-dimensional feature set, and the noise analysis module analyzes the position, intensity and frequency characteristics of a noise source based on the multi-dimensional feature set. And the multifunctional application module realizes fault diagnosis and predictive maintenance through a machine learning model based on the analysis result and the multi-dimensional feature set, and the result output module performs visual presentation and report output on the analysis and application result. The multifunctional automobile engine noise detection system can solve the problems that a traditional detection method depends on artificial experience, fault positioning is not accurate, the diagnosis dimension is single, and prediction capability is lacked.

The application provides a device heat dissipation adjustment device and a VR device. The device comprises a noise detection module and a heat dissipation control module. The noise detection module and the heat dissipation control module are in communication connection. The noise detection module detects the environmental noise of the environment where the device is located and the fan noise generated by the heat dissipation fan, and sends the environmental noise and the fan noise to the heat dissipation control module. The heat dissipation fan is arranged in the device to dissipate heat of the device. The heat dissipation control module adjusts the rotating speed of the heat dissipation fan according to the environmental noise and the fan noise. Compared with the prior art, the device heat dissipation adjustment device can adjust the rotating speed of the heat dissipation fan according to the environmental noise and the fan noise generated by the heat dissipation fan, so that the device reaches a balance between user experience and heat dissipation noise by dynamically adjusting the rotating speed of the heat dissipation fan, thereby enabling the user to obtain a better experience.

To easily acquire training data when using machine learning to determine whether each of components resulting from measurement of signals derives from a signal source or derives from a noise source.SOLUTION: A signal / noise determination device 1 comprises: a plurality of sensors 12a that measure signals and noise; a determination model recording unit 14 that records a determination model that determines whether each of components resulting from measurement derives from signal sources S1, S2 or derives from noise sources N1, N2, the determination model generated by machine learning by using measurement results of the sensors 12a that are expected when signal information and noise information are assumed, hypothetical signal information (i.e., signal source position and signal), and hypothetical noise information (i.e., noise source position and noise), as training data; and a signal / noise determination unit 16 that determines, on the basis of the measurement results and the determination model, whether each of components resulting from measurement derives from the signal sources S1, S2 or derives from the noise sources N1, N2.SELECTED DRAWING: Figure 1

The invention discloses a voice signal silencing device based on joint detection. A received intermediate frequency voice signal is subjected to analog-to-digital conversion and digital down-conversion through an AD module and a down-conversion module; after digital automatic gain control is completed by the AGC module, the voice signal is divided into two paths; the carrier detection processing module carries out carrier detection processing on one path of voice signals to obtain power spectrum characteristics; the voice squelch detection module demodulates the other path of voice signal, on one hand, demodulated voice is output when the squelch gate is in an open state, and on the other hand, voice feature detection processing is performed on the demodulated voice to obtain voice features; and the joint judgment module performs joint judgment on the power spectrum characteristics and the voice characteristics calculated by the carrier wave squelch detection module and the voice squelch detection module, and controls the opening and closing states of a squelch door. According to the invention, the carrier squelch technology and the voice squelch technology are jointly used, so that the false alarm probability and the missed alarm probability are effectively reduced.

In a light detection device, a processing unit sets a threshold for each of a plurality of channels and identifies a channel containing noise in either a first or second signal based on the threshold and a difference between the first and second signals in each of the plurality of channels. The threshold is set based on a difference value. This difference value comprises the difference between the value of the first signal in a channel and the value of the first signal in a first neighboring channel located near the channel, as well as the difference between the value of the second signal in the channel and the value of the second signal in a second neighboring channel located near the channel.

A touch input device (1) comprises a plurality of transmission electrodes, a plurality of reception electrodes, a capacitance detection unit (12) that detects the capacitance generated between the transmission electrodes and the reception electrodes by mutual-capacitance sensing, a touch panel control unit (13) that comprises a touch operation detection unit (14) that detects a decrease in the capacitance detected by the capacitance detection unit (12) from an initial value to be a touch operation and a noise detection unit (15) that detects an increase in the capacitance detected by the capacitance detection unit from an initial value to be noise, and a touch information processing unit (16) that performs processing that corresponds to coordinate data from when the touch operation detection unit (14) has detected a touch operation. The touch information processing unit (16) invalidates at least a portion of the processing that corresponds to the coordinate data when the noise detected by the noise detection unit (15) has exceeded a first determination value. (Selected drawing: figure 1)

A medical device system comprises a medical device comprising one or more sound sensors configured to generate a sound signal including noise experienced by a patient and processing circuitry. The processing circuitry is configured to determine, based on sound signal, one or more noise levels experienced by a patient, determine a heart disease risk for the patient based at least in part on the one or more noise levels, and generate an output corresponding to the heart disease risk to a computing device of the patient or another user.

The utility model discloses a portable environmental noise detection device, which relates to the technical field of environmental noise detection and comprises a sensing detection ball, a support telescopic rod, a detector and a connecting wire penetrating through the support telescopic rod to be connected with the sensing detection ball. The other side of the top surface of the detector is provided with an adapter connector, and the adapter connector is connected with one end of a connecting wire in an inserted manner. According to the utility model, through the cooperation of the supporting telescopic rod and the sensing detection ball, the sensing detection ball can conveniently extend into a narrow space, such as a narrow aisle of an old community in a city, a narrow ventilation shaft in a building and the like, for noise detection, and the detection convenience is improved; finally, the problems that a button cannot be accurately touched and effective detection is difficult due to the fact that a traditional handheld device is inconvenient to operate in a narrow space are solved, and the efficiency and convenience of noise detection in the narrow space are improved.

This application discloses an audio circuit and electronic device, relating to the field of electronic technology. The audio circuit includes a processor, a power amplifier, and a sound-emitting device. The processor's first communication terminal is connected to the power amplifier's communication terminal. The power amplifier's output terminal is connected to the sound-emitting device. The power amplifier's detection terminal is connected to the sound-emitting device. The sound-emitting device can be used to emit sound or to sense external ambient sounds. This audio circuit can utilize the sound-emitting device to sense external ambient sounds and obtain the ambient sound intensity, thus enabling applications in various scenarios to achieve functions such as noise detection, traffic accident detection, pedestrian fall detection, shaking detection, sound source localization, and fluctuating magnetic field detection.

A method of detecting noise in an audio signal of a radio receiver includes transforming a time-domain audio signal into frequency-domain blocks, and using a stored noise profile corresponding to a component of the radio receiver, generating in the radio receiver at least a first metric based on the frequency-domain blocks. In addition, the method includes, in the radio receiver, based on the first metric, detecting a presence of noise intruding into an active channel from another channel.

This invention provides an intelligent reminder method, device, and system for real-time noise detection and peripheral visual interaction, belonging to the field of human-computer interaction and intelligent environment technology. The invention uses a preset dual noise threshold and configures multimodal interactive device working mode switching rules. It collects ambient sound signals using an analog sound sensor and maps them to real-time decibel values ​​via an exponential conversion function. The real-time decibel value is compared with the dual thresholds to trigger a phased visual and tactile multimodal feedback strategy. Simultaneously, a supporting APP enables data interaction between the device and the cloud, completing multi-dimensional visual display, statistical analysis, and report generation of noise data. It also supports remote device control, personalized threshold settings, and non-confrontational social sharing of noise data reports. The invention also designs an integrated intelligent reminder device with a unified housing, integrating sound sensing, processing control, multimodal feedback, magnetic attraction, and Type-C power supply modules, enabling flexible switching between desk lamp, ambient light, decibel monitoring, and composite modes.

This invention discloses a fully automated intelligent noise detection system for micro motors based on synchronous testing, comprising a feeding module, a handling module, a conveying pitch-changing module, an unloading and loading / unloading transport module, a silent test chamber module, an output module, and a silent chamber. The feeding module transports the motors to be tested; the handling module synchronously picks up multiple motors and performs the first pitch change; the conveying pitch-changing module performs a second pitch change, transporting the motors to the feeding station at predetermined intervals; the unloading and loading transport module synchronously picks up multiple motors and transfers them to the silent test chamber module for testing, while simultaneously removing the tested motors; the silent test chamber module provides a silent testing environment and performs power supply and noise detection; the output module is used for classifying and outputting good and defective products. This invention significantly improves testing efficiency through multi-station synchronous testing and automatic pitch-changing transport; the use of a multi-layer composite sound insulation structure and vibration reduction design effectively reduces environmental noise and vibration interference, ensuring testing accuracy.

The invention provides a system for testing vibration and noise performance of an object through NVH parameters, and relates to the technical field of NVH testing. The system is composed of a power supply, an adaptive clamp, a vibration noise detection sensor, a vibration noise test analyzer, computer analysis software and a tested object, and is characterized in that joint detection of five NVH key parameters including kurtosis, skewness, margin, peak-to-average ratio and pulse factor is integrated, an AI deep learning abnormal sound recognition algorithm is carried, a bone conduction contact type signal acquisition technology is adopted, and a bone conduction signal is acquired. And environmental noise interference is avoided. The system carries out full-process automatic testing through parameter self-adaptive setting, multi-channel synchronous acquisition, key parameter conjoint analysis, AI fault diagnosis and data tracing and archiving. The system solves the problems that a traditional testing environment is large in interference, depends on manpower, is low in detection efficiency and is disordered in data management, has the advantages of rapid detection, accurate diagnosis and convenient tracing, and is adaptive to production line batch detection and laboratory accurate analysis scenes.

The invention discloses an intelligent VLA model language instruction noise filtering and robustness improving method, and aims to solve the problem that performance is reduced due to the fact that a VLA model is sensitive to natural language instructions containing irrelevant contexts. The method comprises the following steps: an instruction analysis module based on a large language model is used for receiving a natural language instruction containing noise; the noise detection and filtering module identifies and removes irrelevant contexts through semantic analysis; and the instruction reconstruction module is used for converting the filtered core instruction into a standardized instruction which can be executed by the VLA model. By constructing a processing flow of'user instruction-noise filtering-standardized instruction ', a noise-containing instruction is converted into a simple and clear executable instruction, and the robustness of a VLA model to language change is improved. The method is suitable for instruction preprocessing of the VLA model in an intelligent system, and the task execution success rate of the model in a real man-machine interaction scene can be remarkably improved.

A system and method to detect and reduce noise include receiving a request and deploying a linear mixed model in a plurality of iterations to determine, based on one or more parameters of the linear mixed model, that noise is present in an output of the linear mixed model, determine that the noise is not larger than a threshold and that the output is capable of further improvement, adjust at least some of the one or more parameters to obtain one or more adjusted parameters, adjust the output of the linear mixed model based on the one or more adjusted parameters to reduce the noise in the output, determine whether a stopping criterion is reached, and responsive to determining that the stopping criterion has not reached, repeat next iteration with the adjusted output or responsive to determining that the stopping criterion has reached, transmit the output.