346 results about "Interference filter" patented technology

The invention relates to the technical field of discharge detection, in particular to a high-precision detection method and device for partial discharge of totally-enclosed GIS equipment. The method comprises the following steps: carrying out metal shell three-dimensional structure modeling on the GIS equipment, and carrying out electromagnetic shielding evaluation so as to obtain a multi-point electromagnetic shielding evaluation value; acquiring an original discharge signal of each sampling point based on the electromagnetic wave sensor, and performing interference suppression processing and back propagation attenuation compensation according to a multi-point electromagnetic shielding evaluation value, so as to obtain an attenuation compensation discharge signal waveform; micro-vibration response parameters are collected based on an MEMS micro-vibration sensor, actual influence waveform point detection marking and physical vibration interference filtering are carried out on attenuation compensation discharge signal waveforms, and therefore pure optimized discharge signal waveforms are obtained. According to the invention, through efficient and accurate partial discharge detection, real-time early warning of the state of the GIS equipment is realized, and the stability and safety of the equipment are improved.

The invention discloses an electric energy meter fault detection method and device, terminal equipment and a computer readable storage medium, and the method comprises the steps: obtaining the voltage data, current data and temperature and humidity data of an electric energy meter in a current sampling time period, obtaining the historical feedback layer gain of the electric energy meter in a previous sampling time period, and determining a final gain parameter; multiplying the final gain parameter by the current bandwidth and the current cut-off frequency of the anti-interference filter to obtain the updated bandwidth and cut-off frequency of the anti-interference filter; when the anti-interference filter works based on the updated bandwidth and cut-off frequency, acquiring a voltage fluctuation value and a current fluctuation value filtered by the anti-interference filter; and comparing the voltage fluctuation value with a voltage fluctuation threshold value, comparing the current fluctuation value with a current fluctuation threshold value, if the voltage fluctuation value is greater than the voltage fluctuation threshold value and the current fluctuation value is greater than the current fluctuation threshold value, judging that the electric energy meter has a high-interference fault, otherwise, judging that the electric energy meter does not have the high-interference fault.

The invention discloses an anti-interference detection method of a wafer temperature measurement system, and belongs to the technical field of semiconductor rapid heat treatment process, the anti-interference detection method comprises the following steps: a temperature sensor detects the temperature of a wafer, an original sampling value detected by the temperature sensor is firstly subjected to noise interference filtering processing through a temperature detector, and then the original sampling value is subjected to noise interference filtering processing; sending the processed data as the detection temperature of the wafer to a temperature controller, comparing the detection temperature with the formula set temperature in the temperature controller, and then adjusting the output power to form closed-loop control; the noise interference filtering processing comprises the steps that an original sampling value obtained by the temperature sensor is subjected to data verification, the verified data is subjected to extreme value removal filtering, then real-time estimation is carried out by adopting a noise estimation algorithm, steady-state noise is identified, and the steady-state noise is removed to obtain the actual temperature of the wafer. According to the method, extreme value removal filtering is adopted in the aspect of random disturbance, a noise estimation mode is adopted in the aspect of stable sine disturbance, and the temperature measurement accuracy is remarkably improved.

The invention relates to the technical field of signal processing, and provides an intelligent sensing device electromagnetic interference suppression method and system based on AI identification, and the method comprises the steps: obtaining a multi-source electromagnetic signal set of a target intelligent sensing device in a preset monitoring period, and carrying out the electromagnetic interference feature extraction processing of the multi-source electromagnetic signal set, performing interference mode matching processing on the electromagnetic interference characteristic set based on a preset interference suppression model to generate an electromagnetic interference suppression strategy of the intelligent sensing equipment; the electromagnetic interference suppression strategy comprises a frequency band adjustment direction corresponding to an interference frequency band distribution characteristic, a signal gain compensation direction corresponding to an interference intensity fluctuation characteristic and an anti-interference filtering direction corresponding to an interference source correlation characteristic; and performing interference suppression operation on a signal acquisition module of the intelligent sensing equipment according to the electromagnetic interference suppression strategy so as to reduce the electromagnetic signal distortion rate of the intelligent sensing equipment.

The invention discloses an interference filtering system for power equipment partial discharge signal monitoring, relates to the technical field of power equipment partial discharge monitoring, and effectively inhibits interference of interference signals on partial discharge signal detection. According to the method, the partial discharge signal of the power equipment is collected, Fourier transform is performed on the partial discharge signal to generate the corresponding partial discharge spectrum signal, the center frequency of the interference signal is extracted from the partial discharge spectrum data, and the suppression frequency point is established according to the center frequency of the interference signal. The method comprises the following steps of: generating real-time partial discharge spectrum data, extracting spectrum data of an interference signal from the real-time partial discharge spectrum data according to a suppression frequency point, further obtaining pure spectrum data, generating a partial discharge time domain signal according to the pure spectrum data, and further performing peak searching processing on the partial discharge time domain signal to obtain PRPS characteristic spectrogram data.

The invention relates to the field of automatic control, and discloses an intelligent control dispensing method and system based on automatic optical detection, and the method comprises the steps: obtaining multi-source real-time data of a dispensing production line, carrying out the feature recognition processing through a preset feature extraction model, and obtaining the dynamically updated production state information; then interference filtering processing is carried out to obtain an effective data set, when it is detected that quality fluctuation exceeds a preset range, an alarm is triggered, deviation identification information is generated, self-adaptive parameter optimization processing is carried out in combination with equipment characteristics and historical operation records, and a control instruction is generated; a control instruction is issued to an execution unit through a double-channel transmission mechanism, transmission delay is monitored in real time, and channels are automatically switched; when the output deviation exceeds the tolerance range, a compensation instruction is generated, parameters of the feature extraction model are updated based on the novel quality fluctuation features, and the dispensing control process is iteratively optimized through closed-loop control. According to the method, the dispensing precision and the production efficiency can be remarkably improved.

The invention relates to the field of intelligent control, and discloses a refrigerator multi-parameter collaborative awareness and resonance intelligent wakeup control method, which comprises the following steps: dynamically acquiring temperature, humidity and door state signals and adjusting the weights of the signals, extracting the resonant frequency offset by combining the vibration spectrum of a compressor, and performing intelligent wakeup and refrigeration duration prediction based on the characteristics. And credibility evaluation, a self-learning mapping model and an interference filtering mechanism are introduced. Compared with a traditional single-parameter or fixed threshold value control mode, the control logic is driven through physical quantity changes, under triggering of a door state event, a three-dimensional linkage relation of an environment state, a physical signal and a control decision is formed, timely sensing and accurate response to changes of the internal thermal characteristics of the refrigerator are achieved, and the problems of data splitting and lag control are solved.

The invention discloses a ship cable identification method based on an improved VGG16 network and bidirectional feature fusion. The method comprises an image acquisition module, a preprocessing module, a deep learning recognition module and an output module, and comprises the following steps: firstly, carrying out gray enhancement and anti-interference filtering on a construction drawing through the image preprocessing module, and constructing a ship cable marking database; then, an improved VGG16 network deep convolutional layer is adopted to extract cable multi-scale features, a full connection layer module of an original network is deleted, a lightweight channel self-attention module is added, and BiFPN is adopted to carry out bidirectional feature fusion on shallow texture features and deep semantic features of the improved VGG16 network, so that the features of the ship cable are captured more effectively; and finally, outputting structured data of cable numbers, specifications and path coordinates. The identification precision mAP, the processing speed and the generalization ability of the method are superior to those of a traditional method, the method can be effectively applied to the field of ship cable identification and the like, and the industrial detection efficiency and the automation level are greatly improved.

The invention relates to the technical field of airspace control, and discloses a low-altitude airspace precise control system and method for a low-altitude aircraft, and the system comprises an airspace digital twinning construction module, a multi-dimensional airspace distribution engine and a carbon constraint flight control module. When a low-altitude digital twin airspace is constructed, the system can solve the problem of signal distortion in airspace situation awareness by deploying a multi-source environmental interference filtering algorithm, analyzing waveform characteristics of sensor data in real time and dynamically identifying and eliminating the influence of electromagnetic interference and meteorological distortion on a monitoring signal; the authenticity and reliability of environment dynamic data acquisition are guaranteed, the construction precision of a digital twin model is improved, the accuracy of an airspace management and control decision is further guaranteed, and when dynamic monitoring of the flight path of the aircraft is implemented, a three-dimensional attitude real-time feedback mechanism is established, the space vector included angle between the actual course of the aircraft and a planned path is continuously calculated, and the real-time dynamic monitoring of the flight path of the aircraft is realized. Therefore, the system can sense the pose offset state in time, and the robust control capability of the low-altitude dense traffic flow is enhanced.

The invention discloses an anti-interference filter based on FFT (Fast Fourier Transform), and relates to the field of GNSS (Global Navigation Satellite System) receivers. A radio frequency front end is used for receiving GNSS signals and down-converting the GNSS signals into IF (Intermediate Frequency); the analog-to-digital converter ADC is used for converting the GNSS signal which is received by the radio frequency front end and moved to the intermediate frequency into a digital signal; and the anti-interference filter is used for converting the digital signal from time domain representation to frequency domain representation, eliminating an interference signal in a preset frequency range in a frequency domain according to a preset demand index, and inversely transforming the frequency domain signal subjected to interference elimination back to the time domain. The invention further discloses an interference suppression method of the anti-interference filter based on the FFT, the anti-interference filter based on the FFT is suitable for various GNSS receivers, the anti-interference performance of the receivers can be effectively improved, and the accuracy of navigation and positioning is ensured.

Described herein are methods and systems for protecting a light detection and ranging (LIDAR) device against external light that is originated at a light source other than a light source of the LIDAR device and that is being emitted towards the LIDAR device. In particular, the LIDAR device may be equipped with a mitigation system that includes an interference filter, an absorptive filter, an adaptive filter, and / or a spatial filter. Additionally or alternatively, the LIDAR device may be operated to carry out reactive and / or proactive mitigation operations. For example, the LIDAR device may be operated to vary over time characteristics with which light is being emitted and to only detect light having characteristics that match the characteristics with which light is being emitted. In another example, the LIDAR device may be operated to activate a shutter to block the external light from being detected by the LIDAR device.

The invention relates to a narrow-band interference filtering method and device based on an HPLC (High Performance Liquid Chromatography) chip, and belongs to the technical field of power line carrier communication. When pulse processing is carried out on a signal, AGC / DAGC processing is paused if a narrowband interference detection starting signal is detected, a narrowband interference detection module calculates a narrowband interference frequency point by using the signal of which the AGC / DAGC processing is paused, and a filter coefficient used by a narrowband interference elimination module is determined based on the narrowband interference frequency point; and the narrowband interference elimination module carries out narrowband interference elimination processing according to the determined filter coefficient. Wherein the AGC / DAGC processed signal is paused when the signal participating in the calculation of the narrowband interference frequency point is subjected to pulse processing, so that signal fluctuation caused by AGC / DAGC processing is avoided, the calculation accuracy of the narrowband interference frequency point is improved, and the narrowband interference filtering effect is ensured.

The invention provides a power plant equipment sound abnormity identification and health prediction method based on granular computing and an LSTM network, and the method comprises the steps: employing an array pickup and a high-dynamic-range microphone array in a complex and high-noise background environment of a power plant, and combining an anti-interference filtering and beam forming algorithm, thereby achieving the sound abnormity identification and health prediction of the power plant equipment. According to the method, directional, multi-channel and non-contact sound acquisition is carried out on key parts of equipment, acquired sound signals are preprocessed, converted into time domain, frequency domain and time-frequency domain representations and coded into multi-dimensional numerical vectors, and compared with a rule-based expert system, the method has higher generalization ability and real-time response ability; a large language model is introduced, so that the output is closer to an engineering language and is suitable for operation and maintenance personnel to understand and execute; a self-defined knowledge base or safety semantic filtering is supported, and closed-loop deployment in an industrial field is facilitated; the system can be in butt joint with an intelligent inspection system, and full-link linkage of voice recognition, health assessment and suggestion generation is achieved.

The invention relates to the technical field of intelligent bathrooms, in particular to an intelligent toilet bowl and a human body position detection method, device and system for an intelligent bathroom space, the intelligent bathroom space is divided into at least one static interference area and a dynamic detection area, and a cross-domain detection window is arranged at the boundary of the static interference area; a reflection signal in the intelligent bathroom space is detected through a microwave radar; analyzing a reflection signal in a preset peripheral distance range of the static interference area to generate human body target trajectory data; when it is judged that the human body target enters the static interference area, the position information of the human body target is locked in the static interference area, and interference filtering processing is carried out on reflected signals detected in the static interference area. Through the method, it can be effectively determined that the target human body is located in the static interference area, misjudgment caused by interference influence in the static interference area is avoided, and the accuracy of human body position detection is improved.

A Mach-Zehnder interferometer (MZI) filter comprising one or more passive compensation structures are described. The passive compensation structures yield MZI filters that are intrinsically tolerant to perturbations in waveguide dimensions and / or other ambient conditions. The use of n+1 waveguide widths can mitigate n different sources of perturbation to the filter. The use of at least three different waveguide widths for each Mach-Zehnder waveguide can alleviate sensitivity of filter performance to random width or temperature variations. A tolerance compensation portion is positioned between a first coupler section and a second coupler section, wherein the tolerance compensation portion includes a first compensation section having a second width, a second compensation section having a third width and a third compensation section having a fourth width, wherein the fourth width is greater than the third width and the third width is greater than the second width.

The invention discloses an interference filtering method and device for millimeter wave radar detection, a storage medium and electronic equipment. The method comprises the following steps: acquiring point cloud data of a detection target through a millimeter wave radar; determining a current category feature and a current target distance of the point cloud based on the point cloud data; based on the current category features and the current target distance, comparing a predetermined relationship between category features of normal targets under each set category of the current scene and the target distance, and determining scores of the detection target belonging to each set category; judging whether the detection target belongs to each set category based on the score, and if the detection target does not belong to any set category, determining the detection target as an interference target; and filtering the point cloud data of the interference target. According to the invention, the interference target in millimeter-wave radar detection can be effectively identified, and the accuracy of millimeter-wave radar detection is improved.

The invention belongs to the technical field of automotive electronics, and discloses a multi-obstacle positioning detection method based on ultrasonic radars, which comprises the following steps of: S1, scheduling the work of slave ultrasonic radars through a master ultrasonic radar controller, so that the plurality of ultrasonic radars work simultaneously to detect obstacles; s2, performing obstacle distance calculation and interference filtering calculation according to echo data measured by each ultrasonic radar so as to obtain effective obstacle distance data; s3, calculating and obtaining obstacle point cloud data through a triangle algorithm; and S4, carrying out filtering calculation on the obstacle point cloud data through a clustering algorithm to obtain effective obstacle point coordinates, and filtering out invalid point coordinates. According to the method, the detection performance can be guaranteed, the response time requirement can be met, and the problems that only the nearest detection distance is processed, the polling period is long, the emergency braking requirement is not met, and the response time requirement is not met in ultrasonic radar system multi-obstacle detection are successfully solved.

An electronic device may have a touch sensitive display with optical touch sensors that are insensitive to the presence of moisture. The optical touch sensors may include light sources and light detectors. Light illuminator and detector angular filters (e.g., masks, baffles) can be employed to limit the illumination and receive angles of emitted and detected light to minimize false object detection. In some examples, light illuminator and detector masks and baffles can be formed during the photodiode component fabrication process. Interference filters may be included over the light sources and / or the light detectors to improve discrimination between a user's finger and water, and may have a greater transmission for light at a first incident angle that is greater than the critical angle of the water / cover interface than at a second incident angle that is less than the critical angle.

The invention belongs to the field of navigation sensor error estimation, and particularly relates to a composite interference filtering method for error separation estimation of a dynamics-assisted gyroscope. The method comprises the following steps: firstly, acquiring error data of the micro-electro-mechanical gyroscope offline and preprocessing; the method comprises the following steps: decomposing sequence data by using wavelet transform, respectively establishing an autoregressive moving average model ARMA of a stationary subsequence and a long short-term memory network model LSTM of a non-stationary subsequence, and combining the ARMA and the LSTM to obtain a hybrid model of gyroscope errors; and then establishing a system equation based on the rotor unmanned aerial vehicle kinetic model and the error hybrid model. And estimating the error of the gyroscope in real time and updating an error model by using the real-time measured value of the gyroscope and the controlled quantity of the rotor unmanned aerial vehicle through a composite interference filtering method, and finally compensating the measurement of the gyroscope. On the premise of not increasing hardware, online estimation of the gyroscope error in the motion state is realized, and the navigation precision is improved.

An inverter system controller for an automotive vehicle includes a housing and has disposed within the housing a Y-capacitor defining a terminal, a ground busbar, and a surface mount resistor in direct contact with the terminal and ground busbar to form an electromagnetic filter that lacks a printed circuit board.

The invention discloses a camouflage target detection method based on multi-scale feature fusion and interference suppression, and the method comprises the steps: firstly constructing and training a camouflage target detection model which comprises a preprocessing network module, a difference feature interaction module, a detail feature fusion module, a boundary sensing module and an interference filtering module; and inputting a to-be-detected image into the detection model, wherein the output of the detection model is the camouflage target image obtained by detection. A progressive feature extraction architecture is adopted, in the initial feature extraction stage, a network constructs basic feature representation through multi-scale convolution operation, and a primary feature graph with global semantic information is generated. In the second stage, edge information is introduced to assist feature extraction, and in the third stage, interference filtering and refining processing is carried out on a feature map through IFM. According to the method, multi-scale features and interference suppression are fused, and the detection performance of the camouflage target is remarkably improved through parallel coding and multi-scale feature fusion in combination with edge feature information and an interference filtering module.

The invention provides a frequency domain equalization method and system of a GNSS (Global Navigation Satellite System) anti-interference filter, a receiver and a medium, and particularly relates to the technical field of GNSS interference signal suppression, and the scheme comprises the following steps: inputting an intermediate frequency signal of a collected GNSS signal into the anti-interference filter to obtain a filtered intermediate frequency signal; predicting and filtering the intermediate frequency signal based on a tracking result output by a receiver baseband and a preset frequency spectrum amplitude to obtain a reference frequency spectrum of an interference frequency band; obtaining a reference spectrum of an interference-free frequency band based on the normal intermediate frequency signal; and fusing the reference frequency spectrum of the non-interference frequency band and the reference frequency spectrum of the interference frequency band to obtain a complete reference frequency spectrum, and further carrying out equalization processing on the filtered intermediate frequency signal to obtain an equalized GNSS signal. According to the scheme, signal distortion caused by a traditional anti-interference filter can be remarkably improved, so that the anti-interference performance of the GNSS is effectively improved, and the quality of signals output by a receiver is improved.

An optical filter may include: an interference filter that allows at least two channels associated with at least two transmission peaks to pass through; and a plurality of blockers, wherein each of the plurality of blockers allows a corresponding channel associated with a corresponding transmission peak among the at least two transmission peaks to pass through, and blocks one or more channels other than the corresponding channel associated with the corresponding transmission peak.

The invention provides a surgical robot intraoperative positioning and navigation method, device and equipment based on anti-interference electromagnetic tracking and a computer readable storage medium. The intraoperative positioning and navigation method of the surgical robot based on anti-interference electromagnetic tracking comprises the following steps: arranging an electromagnetic generator in a surgical area, and generating a time-division multiplexing multi-band electromagnetic field; acquiring an original electromagnetic signal at the tail end of the surgical instrument through a magnetic field detection device; anti-interference filtering processing is carried out on the original electromagnetic signal, and a target instrument signal and environment noise are separated; calculating a space coordinate and an attitude angle of the surgical instrument based on the filtered signal; error compensation is carried out on the space coordinates through a multi-stage calibration module; and matching the compensated coordinate data with a preoperative medical image to generate a real-time positioning navigation path. According to the embodiment of the invention, intraoperative electromagnetic positioning navigation can be carried out in an anti-interference manner.

A light detection device includes: a Fabry-Perot interference filter provided with a light transmission region; a light detector configured to detect light transmitted through the light transmission region; a package having an opening and accommodating the Fabry-Perot interference filter and the light detector; and a light transmitting unit arranged on an inner surface of the package so as to close an opening, the light transmitting unit including a band pass filter configured to transmit light incident on the light transmission region. When viewed from a direction parallel to the line, an outer edge of the Fabry-Perot interference filter is positioned outside an outer edge of the opening, and an outer edge of the light transmitting unit is positioned outside the outer edge of the Fabry-Perot interference filter.

A method for generating an image begins by sampling an output for each optical sensor of a plurality of optical sensors of an array of optical sensors, where the array of optical sensors is overlaid by a plurality of sets of interference filters and a plurality of sets of spatially distributed absorption filters, with each set of interference filters of the plurality of sets of interference filters configured to provide a multi-band wavelength response for an absorption filter of the plurality of sets of absorption filters. The method continues by generating a sampled output for each optical sensor of the plurality of optical sensors to provide a plurality of sets of sampled outputs. The method then continues by de-mosaicing a set of sampled outputs of the plurality of sets of sampled outputs to generate spectral bandpass information for the image.

A signal acquisition system and amplifier for resisting high-frequency interference include a signal terminal; a first filter circuit includes a first access point, a second access point, resistors R1, R2, and R3, and capacitors C1, C2, and C3; one end of resistor R1 is connected to the first access point, and the other end is connected to one end of resistor R2, the other end of resistor R2 is connected to the second access point, the end of resistor R1 connected to resistor R2 is also connected to one end of capacitor C3, and the other end of capacitor C3 is grounded; one end of capacitor C1 is connected to the first access point, and the other end is connected to one end of capacitor C2, the other end of capacitor C2 is connected to the second access point, the end of capacitor C1 connected to capacitor C2 is also connected to one end of resistor R3, and the other end of resistor R3 is grounded; the first filter circuit is connected in series with the first access point and the second access point to the signal terminal. Compared with traditional anti-interference filter structures, this invention can achieve better high-frequency interference resistance with a smaller on-chip cost.

An imaging system includes a plurality of sets of optical sensors and a plurality of sets of optical filters, each set of optical filters being associated with a set of optical sensors. Each set of optical filters further includes a plurality of sets of absorption filters and a plurality of interference filters, with each interference filter of the plurality of interference filters configured to pass light of a different wavelength range and with each absorption filter of a set of absorption filters configured to pass light of a different wavelength range. The system includes one or more processors adapted to sample a first output from optical sensors associated with an absorption filter associated with each set of filters. The system further includes one or more processors adapted to sample a second output from optical sensors associated with an interference filter associated with each set of interference filters.

A method of manufacturing a Fabry-Perot interference filter includes a forming step of forming a first thinned region, a first mirror layer, a sacrificial layer, and a second mirror layer are formed on a first main surface of a wafer, and the first thinned region in which at least one of the first mirror layer, the sacrificial layer, and the second mirror layer is partially thinned along each of a plurality of lines is formed; a cutting step of cutting the wafer into a plurality of substrates along each of the plurality of lines by forming a modified region within the wafer along each of the plurality of lines through irradiation of a laser light, after the forming step; and a removing step of removing a portion from the sacrificial layer through etching, between the forming step and the cutting step or after the cutting step.

The lens unit (2) is provided with a housing (21) and an optical system (22) disposed in the housing. An optical system (22) is provided with: a Fabry-Perot interference filter (10); a first aperture (P1), which is formed integrally with the Fabry-Perot interference filter (10), and through which light directed toward the Fabry-Perot interference filter (10) or light transmitted through the Fabry-Perot interference filter (10) passes; a first lens unit (23) that focuses or parallelizes light from the incident unit toward the Fabry-Perot interference filter; and a second lens unit (24) that forms an image of the light that has passed through the Fabry-Perot interference filter and has been emitted from the emission unit. When viewed from the optical axis direction, the width of the light at the incident position of the first aperture (P1) is wider than the width of the first aperture (P1).