2205 results about "Filter effect" patented technology

The invention relates to the technical field of image processing, in particular to a constructional engineering concrete prefabricated part quality detection method, which comprises the following steps: acquiring a surface image and screening to-be-filtered pixel points; respectively acquiring a reference block and a neighborhood block of the pixel point to be filtered; respectively obtaining a texture extension weight and a texture interval weight of the neighborhood block based on the position distance distribution condition between the target points in the neighborhood block and the texture extension features of the target points in the neighborhood block in a single direction; respectively determining a texture interval weight factor and a texture extension weight factor based on the distribution features between the texture feature points in the neighborhood blocks and the gray scale consistency features between the texture feature points in the texture direction, performing weighting by combining the texture interval weight and the texture extension weight to obtain an enhanced image, training a detection model, and obtaining a detection result; and determining the quality detection result of the concrete prefabricated member. By adjusting the filtering weights of different neighborhood blocks in the image filtering process, the filtering effect is improved, and a more accurate quality detection result is obtained.

The invention relates to the field of signal processing, and discloses a biological signal processing method and device, computer equipment and a storage medium, and the method comprises the steps: collecting a biological signal, and carrying out the preliminary filtering of the biological signal, and obtaining a preliminary filtering signal; performing noise characteristic analysis on the preliminary filtering signal, selecting a proper filtering mode according to an analysis result, and designing filter parameters through fuzzy logic processing; inputting the filter parameters into an adaptive filter to process the signal so as to obtain a filtered biological signal; in combination with a de-noising convolutional neural network model, noise identification and fuzzy logic processing are performed on the filtered biological signals, and filter parameters are dynamically adjusted; and performing multi-round iterative optimization until a target filtering effect is obtained, and outputting an optimized biological signal. According to the biological signal processing method, complex noise in the biological signal is effectively removed, the filtering precision is improved, meanwhile, the signal integrity is kept, and a reliable basis is provided for subsequent biological signal analysis and processing.

The utility model relates to the technical field of sulfuric acid filtering equipment, and discloses a refined sulfuric acid filter which comprises a filter tank body, a discharge pipe fixedly mounted at the lower end of the filter tank body, a feed pipe fixedly mounted on the outer side of the filter tank body, and a pressure gauge fixedly mounted on the filter tank body above the feed pipe, a safety valve is further fixedly installed at the position, above the pressure gauge, of the filter tank body, a top cover is fixedly installed on the filter tank body, two pore plates are fixedly installed in the filter tank body, a plurality of filter elements are fixedly installed between the two pore plates, and a lifting plate is movably connected between the filter elements. The lifting plate is arranged among the filter elements, the sleeve holes are formed in the inner side of the lifting plate, the arc-shaped scrapers which are arranged in a staggered mode are arranged on the inner sides of the sleeve holes, and elastic supporting of the inserting rings and the arc-shaped supporting mechanisms is matched, so that adhesion layers on the outer surfaces of the filter elements can be automatically cleaned by means of high-low changes of the liquid level of a medium in the filter tank body; the filtering effect of the filter element is improved and the service life of the filter element is prolonged.

The invention relates to the technical field of image processing, in particular to a slope deformation monitoring method based on image recognition, and the method comprises the steps: obtaining a slope interferometric phase diagram; segmenting the slope interferometric phase diagram to obtain a plurality of sub-regions, and obtaining local differences of phase points in the sub-regions; determining the difference expression degree of the phase values corresponding to the phase points and the phase difference of the sub-regions; carrying out region segmentation; determining distribution similarity and overall similarity of adjacent sub-regions when segmentation is finished; calculating the comprehensive similarity of the sub-regions at the end of segmentation; carrying out region merging; and filtering is carried out according to the standard deviation of the final sub-region so as to realize slope deformation monitoring. By dynamically judging whether region segmentation and merging are carried out or not, compared with a fixed threshold mode, the method is more accurately adapted to the spatial variability of a deformation mode in a slope interferometric phase diagram, the quadtree filtering effect is effectively improved, and slope deformation monitoring is more accurate.

Disclosed in the present invention is an NSGA-II algorithm-based parameter optimization method for LCL-type grid-connected inverter filters in a weak power grid, comprising: modeling a single-phase inversion system in a weak power grid, and using inverter side inductance L1, grid side inductance L2, filtering capacitance C and passive damping resistance R as parameters to be optimized; setting boundary constraints for a total inductance value L, the inverter side inductance L1, the grid side inductance L2 and the filtering capacitance C; constructing objective functions of a switching frequency harmonic attenuation ratio η, an inverter end inductor current ripple ΔIripple, a damping resistor power consumption PR_loss and a resonant frequency fr; and on the basis of an NSGA-II algorithm model, using said parameters as decision variables, performing iterative optimization on the plurality of objective functions according to the boundary constraints so as to obtain a parameter solution set of optimal solutions, and selecting a group of typical values from the parameter solution set as optimization solutions. The present invention can significantly improve the filtering effect and the weak grid resistance of filters.

The invention provides a display device and a filter effect display method, the method can receive a setting instruction of a target filter mode, and the target filter mode has an association relationship with a preset target image quality parameter and a preset target color matrix. And in response to the setting instruction, calling a first filter setting interface, and configuring a target image quality parameter to a video layer through the first filter setting interface. And calling a second filter setting interface, and configuring the target color matrix to the graphic layer through the second filter setting interface. Wherein the first filter setting interface is an interface which is preset in a video layer and is used for configuring image quality parameters, and the second filter setting interface is a system-level interface which is used for configuring a filter effect function of a graphic layer in the display equipment. According to the method, filter effect setting can be performed on the video layer and the graphic layer at the same time, so that the video layer and the graphic layer present a unified filter effect.

The invention discloses a multi-scale hierarchical efficient filtering method considering topographic features, which can efficiently extract a large number of uniformly distributed accurate ground seed points and ensure the accuracy of an initial topographic surface by introducing a method of combining a sliding grid technology and an M estimation sample consistency algorithm. Then, constructing a ground reference surface grid according to the ground points subjected to iterative recognition, and quickly generating a ground reference surface by adopting a grid-based global weighted finite difference TPS method; and finally, establishing a self-adaptive threshold value considering topographic features to capture ground points, thereby effectively improving the point cloud filtering precision in a complex scene. The filtering method is stable in performance and good in filtering effect in a large-scale scene with complex terrain and mixed ground features, and the filtering method is high in filtering precision, high in calculation efficiency and high in terrain adaptive capacity. Meanwhile, the filtering method is high in operation speed and has the performance advantage of processing large complex scenes.

The invention discloses an impeller assembly, a pre-filter applying the impeller assembly and a water consuming system, and relates to the technical field of pre-filters, the impeller assembly comprises an impeller body and a mounting seat, the impeller body is provided with a connecting part, and the connecting part is used for being in transmission connection with an outer framework of the pre-filter; the mounting seat is provided with an impeller cavity, the impeller body is rotatably mounted in the impeller cavity, and one axial side of the mounting seat is provided with a first water inlet communicated with the impeller cavity and the outside of the mounting seat; a second water inlet communicated with the impeller cavity and the outside of the mounting seat is formed in the peripheral side of the mounting seat; a water outlet communicated with the impeller cavity and the outside of the mounting seat is formed in the other axial side of the mounting seat; and the water outlet is used for being communicated with a drain outlet of the pre-filter. According to the technical scheme provided by the invention, the flushing efficiency and the drainage efficiency of the pre-filter can be improved; the water flow drives the outer framework to rotate, so that the self-cleaning capability and the filtering effect of the equipment are further improved.

The invention discloses an unsupervised microseismic denoising method and system based on a multi-channel Kalman filter network, and belongs to the crossing field of earth science and technology and artificial intelligence, and the method comprises the steps: obtaining multi-channel microseismic data, and carrying out the preprocessing; constructing a multi-channel Kalman earthquake denoising network based on the recurrent neural network; constructing a loss function, and carrying out unsupervised training on a multichannel Kalman seismic denoising network based on the preprocessed multichannel microseismic data and the loss function; and denoising is carried out on the real-time micro-seismic data through the trained multi-channel Kalman seismic denoising network. According to the method, the multi-channel Kalman filtering state prediction and update equation is established, the RNN operator is designed, automatic parameter optimization is achieved, and the denoising accuracy and efficiency are improved. The method makes full use of the correlation of microseismic data, improves the filtering effect, is suitable for time-varying signals, and provides support for subsequent data processing.

The invention discloses position-free control based on a set time sliding mode observer and a time-varying parameter expansion state observer, and belongs to the technical field of permanent magnet synchronous motor sensorless control. The invention provides a composite control method combining a set time sliding-mode observer and a time-varying parameter extended state observer, and aims to solve the problems that the convergence time of a traditional sliding-mode observer depends on an initial state, buffeting is serious, disturbance is sensitive and the like. The method specifically comprises the following steps: designing a sliding-mode observer with a set time convergence characteristic, and ensuring that an observation error is converged in a preset time and is irrelevant to an initial value by dynamically adjusting a sliding-mode surface index item; high-frequency buffeting is suppressed by combining an integral filtering effect; a time-varying parameter expansion state observer is further designed by utilizing the saturation characteristic of a bitangent function and the characteristics of small error, large gain, large error and small gain of a fal function, the initial differential peak value is effectively inhibited, and the total disturbance of the system is compensated in real time. And the advantages of controllable convergence time, small buffeting and high interference resistance are verified through simulation. The anti-interference capability and the dynamic response speed of the system are remarkably improved, and the method is suitable for permanent magnet synchronous motor sensorless control under medium and high speed working conditions.

The invention provides an image filtering, encoding and decoding method and device based on a neural network, equipment and a storage medium, the method can be applied to the fields of image processing, video encoding and decoding, video live broadcast and the like, and the method comprises the following steps: based on a to-be-filtered image, determining input information of a neural network filter, the input information comprising the to-be-filtered image; filtering the input information through a neural network filter to obtain a filtered image of the to-be-filtered image; wherein the neural network filter comprises a plurality of convolution layers used for extracting image feature information, and the plurality of convolution layers are obtained by processing a standard convolution layer through at least two modes of a multistage receptive field mode, a tensor decomposition mode and a grouping convolution mode. Therefore, under the condition that the filtering performance of the neural network filter is not reduced, the filtering operation complexity of the neural network filter is reduced, and the filtering effect of the image is improved.

The invention relates to the technical field of power line communication, in particular to a signal noise reduction method and system for improving power line communication quality, and the method comprises the steps: carrying out the filtering of a power line communication signal at different synchronization lengths; analyzing the volatility of the local range of each power line communication signal value; comparing the distances between the original extreme value signal sequences before and after filtering to obtain a filtering effect of each power line communication signal value based on different synchronization lengths; obtaining a denoising selection weight of each power line communication signal value; based on the prediction result of the filtering weight of a preset number of signal values before each power line communication signal value, combining the signal distribution similarity in the window corresponding to the power line communication signal values and the denoising selection weight to obtain the filtering weight of each power line communication signal value, and weighting the filtered signals to obtain the power line communication signal value. And obtaining a final filtering value of each power line communication signal value. The invention aims to improve the de-noising quality of the power line communication signal.

The present invention relates to the field of medical device technology, and provides an interference signal processing method and device, wherein the interference signal processing method includes: when a change in the level state of a signal is detected, timing is started; if the signal maintains the current level state without change within a first preset time, the current output level state of the output signal is converted to the current level state of the signal; if the signal changes its level state again within the first preset time, the timer is cleared for timing the level state of the signal before the level state changes again; when a level state change phenomenon that occurs multiple times in a row within the first preset time is detected, the signal is judged to be an interference signal. The present invention can filter out larger interference bands, has better filtering effect, and has strong anti-interference ability.

The present invention discloses a low-voltage harmonic filter module, which relates to the technical field of circuit devices. This low-voltage harmonic filter module includes a filter body and a base, a plurality of shock-absorbing mechanisms are arranged between the filter body and the base, and each shock-absorbing mechanism includes an L-shaped plate, a first mounting mechanism is arranged between the bottom of each L-shaped plate and the base, and the side wall of each L-shaped plate is fixedly connected with a connecting plate, the side wall of the connecting plate is fixedly connected with an annular cover, and a moving column is inserted in the annular cover, a rubber ring is fixedly connected between the moving column and the annular cover, and a first spring is fixedly connected between the moving column and the bottom of the annular cover, and a second mounting mechanism is arranged between the moving column and the filter body. This low-voltage harmonic filter module can have a good shock-absorbing effect on the filter body, ensure its filtering effect and service life, and at the same time, it can consume the energy generated by the vibration, so that the shock-absorbing effect is better.

The invention provides a heat exchanger with an anti-blocking function, which comprises a fixed clamping plate and a movable clamping plate, and a plurality of plate sheets are arranged between the fixed clamping plate and the movable clamping plate. Alternate use of the arc-shaped filter screens is achieved through the rotating design of the second closed barrel, when the filtering effect of a certain filter screen is affected by impurity accumulation, other unblocked filter screens can work in time, it is guaranteed that liquid is continuously and smoothly filtered, the situation that the heat exchange process is interrupted due to blockage of a single filter screen is avoided, and efficient operation of equipment is maintained; the arc-shaped filter screens are backwashed through the spray heads, the four filter screens can be comprehensively cleaned in sequence in cooperation with rotation of the second closed barrel, when deep cleaning is needed, the output shaft of the servo motor rotates clockwise to drive the spray heads to move in a reciprocating mode, more thorough washing is achieved, impurities attached to the filter screens are effectively removed, and the service life of the filter screens is prolonged. The service life of the filter screen is prolonged and the equipment consumable replacement cost is reduced.

The invention discloses a common-mode EMI noise suppression method combining a passive filter and a modulation strategy, and belongs to the technical field of power electronics and electricians. According to the method, an improved random switching frequency SVPWM (Space Vector Pulse Width Modulation) method is used, a common-mode voltage frequency spectrum without an EMI (Electro-Magnetic Interference) filter is obtained through measurement, a common-mode voltage amplitude is reduced from the source, the reduction of a common-mode electromagnetic interference frequency spectrum is further realized, required insertion loss is determined according to an EMC (Electro Magnetic Compatibility) standard, and an intersection point of the insertion loss and the minimum frequency is reached. And taking the frequency corresponding to the point as the cut-off frequency of the EMI filter, determining the element parameters of the filter according to the cut-off frequency, and verifying the element parameters. By using a common-mode interference comprehensive suppression means combining the filter and the random PWM strategy, the design margin of the filter can be reduced, the cut-off frequency of the EMI filter can be increased, the weight and the size of the inductor can be reduced, the light weight and the miniaturization of the filter can be realized, and the cost can be reduced. And meanwhile, the improved random switching frequency SVPWM is adopted, so that the filtering effect of the EMI filter is guaranteed.

The invention provides an image real-time filter processing method based on edge calculation, and the method comprises the steps: obtaining the local texture feature distribution of an input image, calculating the gradient variation of each pixel point in the horizontal and vertical directions, and calculating a quantitative index value reflecting the image texture complexity based on the statistical distribution feature of the gradient variation; executing a parallelized filter effect rendering operation based on the optimized processing task allocation scheme, and applying corresponding filter parameters to each image block through a multi-thread cooperative processing mechanism to form filter rendering configuration information suitable for the performance of the current mobile device; and carrying out fusion reconstruction on brightness, saturation and hue component data after filter processing, generating a final filter processing image through a reverse conversion process from HSV to RGB, and recording parameter configuration information in the processing process at the same time for rapid processing of subsequent similar images.

The invention discloses a PM2.5 bag filter with an intelligent cleaning function, and relates to the technical field of PM2.5 bag filters. Comprising a box body, an air inlet, a pulse device, an air outlet, a dust hopper, a bag filter assembly, a partition plate and a blowing pipe, deflection of a secondary filter assembly is utilized to synchronously drive a detection rod on a sliding frame to move in a detection shell, so that magnetic flux of two secondary coils is changed, an electric signal is generated, and a control system analyzes the magnitude of the electric signal; and the control system analyzes the dissipation amount of PM2.5 according to the deflection amount of the secondary filter disc, so that the aim of monitoring the filtering effect of the filter bag is fulfilled. When the filter bag is cleaned or replaced, meshes are large, and the filtering effect is reduced, escaping PM2.5 is intercepted and filtered through the second-stage filter disc. By utilizing the deflectability of the secondary filter discs, when a large amount of PM2.5 escapes, the impact force of the gas is converted into self deflection, the overlapping degree between the secondary filter discs is increased, and the filtering effect on the PM2.5 is adaptively increased.

The invention belongs to the technical field of electromagnetic interference elimination, and discloses a method and system for processing electromagnetic leakage interference of an electromagnetic vibration table, and the method comprises the steps: starting a signal collection and analysis module, monitoring an electromagnetic signal generated in the operation process of the electromagnetic vibration table in real time, and recognizing an interference frequency range; a proper filter is selected or designed based on the identified frequency range through a filter selection and design module; a filter processing unit is utilized to install filters on necessary power lines and signal lines, and interference suppression measures are executed; the test and optimization module is operated, the filtering effect is evaluated, the configuration of the filter is adjusted according to needs, and the electromagnetic interference suppression effect is optimized; and the monitoring and adjusting module is continuously executed to adapt to the change of an experimental environment, so that long-term effective electromagnetic interference control is ensured. The invention provides a solution which is more accurate, effective and flexible compared with the traditional physical shielding, and is suitable for the occasion of carrying out high-precision vibration test on the magnetic sensitive sample.

The invention relates to a film and television filter lamp effect application method and device, equipment and a medium, and the method comprises the steps: obtaining a filter template correspondingly set based on film and television description information, the filter template being used for defining a filter effect applied by a film and television work corresponding to the film and television description information; configuring original lamp effect data of an atmosphere lamp according to the filter template, and obtaining filter lamp effect data applying a filter effect; and controlling an atmosphere lamp to play a corresponding atmosphere lamp effect according to the filter lamp effect data, so that the atmosphere lamp effect presents a filter effect. Through the technical means, the visual style of the movie and television can be copied in batches and presented in real time in an atmosphere lamp system in a low-cost and high-precision manner for the first time, so that immersive experience of the movie, namely the atmosphere, is really realized.

The utility model discloses a multi-cone separation pre-filter which comprises a filter bottle, the upper end of the filter bottle is connected with a valve head, one side of the valve head is provided with a water inlet, the other side of the valve head is provided with a water outlet, the lower end of the filter bottle is provided with a drain outlet, a ball valve is installed in the drain outlet, and a water segregator, a framework, a filter screen and a separation mechanism are installed in the filter bottle. The separation mechanism comprises an inner pipe part and an outer pipe part, an inner water cavity is formed between the inner pipe part and the outer pipe part, a plurality of conical funnels are arranged between the inner pipe part and the outer pipe part, and conical separation cavities are formed in the conical funnels. According to the multi-cone separation pre-filter disclosed by the utility model, the filter screen is combined with the multi-cone separator, double filter systems are perfectly fused, the filter effect is good, the flux is increased, the pollution discharge is clean and thorough, and the multi-cone separation pre-filter can adapt to different environmental water qualities.

The invention provides a noise reduction method and device, equipment and a medium, weighting processing is performed on a first time domain reference noise signal vector to obtain a second time domain reference noise signal vector, a sampling point closer to the current moment is endowed with a higher weight, the noise reduction performance is optimized, and the noise reduction performance is improved by updating a weight coefficient and the second time domain reference noise signal vector. Therefore, the noise cancellation signal is determined on the time domain, filtering on the time domain is realized, the noise cancellation signal is generated to carry out noise reduction processing on the primary noise in the target noise reduction area, extra time delay caused by frequency domain filtering is avoided, noise reduction time delay is reduced, and the filtering effect is improved. The updating process of the weight coefficient is completed in the frequency domain, updating is achieved in the frequency domain with smaller blocks, the calculation amount is reduced, the interval time of noise reduction processing is shortened, the calculation efficiency of the algorithm is improved, the processing delay is reduced, and the noise reduction effect is improved.

The invention relates to the technical field of wireless communication, in particular to a network security communication method and system applied to an unmanned equipment formation and a medium. The method comprises the following steps: firstly, according to a wind speed, a wind direction and a difference condition between an actual spatial position and a set spatial position of unmanned equipment, obtaining a self-noise representation degree at a to-be-analyzed moment; according to the noise interference degree, the initial smoothing coefficient of the to-be-analyzed moment is adjusted, and the adjusted smoothing coefficient of the unmanned equipment at the to-be-analyzed moment is obtained; filtering the actual spatial position by using the adjusted smoothing coefficient at each sampling moment to obtain filtered actual spatial position data; and performing communication transmission based on the filtered actual spatial position data. According to the method, the smoothing coefficient of each sampling moment is reasonably set, and exponential smoothing filtering is performed on the actual spatial position data of the unmanned equipment, so that the filtering effect is improved, the filtering data accuracy in wireless communication is improved, and the wireless communication safety is guaranteed.

The invention relates to the technical field of physiological signal processing, and discloses an anti-interference filtering method and system for a multi-modal physiological signal acquisition device, a terminal and a storage medium, and the method comprises the steps: carrying out the preprocessing of an acquired multi-modal physiological signal; modal recognition and feature extraction are carried out on the preprocessed multi-modal physiological signals; selecting a corresponding filter according to a modal identification result, and dynamically adjusting parameters of the filter; adjusting a filtering path and a filtering sequence based on a cascade filtering structure and a dynamic switching mechanism; adaptive interference estimation and offset are carried out based on crosstalk processing and a reference channel compensation mechanism; and performing parallel filtering according to the extracted features, comparing evaluation parameters of each filtering result based on an output result selection mechanism, and selecting and outputting a final signal according to a comparison result. According to the invention, effective suppression of multi-source interference such as power supply interference, motion artifacts, crosstalk and high-frequency noise is realized, and the real-time performance and stability of the filtering effect are improved.

The invention discloses an aerosol detection device, and relates to the technical field of aerosol detection. According to the aerosol detection device, through the arrangement of the filter cartridge, gas filtration treatment can be completed through the built-in filter element during operation, ejection and replacement operation of the internal filter element can be completed along with rotation replacement of the filter cartridge and cooperation of the bottom substrate, and compared with a traditional mode, the aerosol detection device is more convenient and faster to use; on one hand, the filtering effect of follow-up gas is guaranteed, the detection precision of follow-up aerosol concentration is guaranteed, and meanwhile, the operation convenience and the working efficiency of equipment are improved.

The invention relates to the field of filtering equipment, in particular to a multi-channel needle type filtering device which comprises a workbench, an electric lifting rod is arranged at the upper end of the workbench, a needle cylinder frame is arranged at the top end of the electric lifting rod, a plurality of positioning cavity cylinders are arranged on the needle cylinder frame at equal intervals in a penetrating mode, and needle cylinder filters are erected in the positioning cavity cylinders. A plurality of mounting grooves are formed in the upper end of the workbench at equal intervals, container bottles are arranged in the mounting grooves and located under the corresponding needle cylinder filters, each needle cylinder filter comprises a needle cylinder body, a sealing seat and a needle head, a piston is slidably arranged in each needle cylinder body, a pressing column is fixedly arranged at the top end of each piston, and a connecting seat is arranged at the bottom of each needle cylinder body; and the sealing seat is hermetically sleeved on the outer side of the connecting seat. According to the ion filtering device, the corresponding filtering membranes can be quickly replaced according to different filtered ion particles, the filtering process of different ions can be synchronously realized on the same equipment, the operation is simple, and the filtering effect is good.

The invention relates to the technical field of cell filtration, and discloses a cell filter facilitating separation and filtration and a filtration method thereof.The cell filter comprises a main body, a fixing ring is fixedly connected to the interior of the main body, a cross-shaped spring frame is slidably connected to the outer surface of the fixing ring, and a conical spiral block is fixedly connected to the top of the cross-shaped spring frame; three fixing frames are fixedly connected to the side, away from the conical spiral block, of the cross spring frame, the three fixing frames are arrayed circumferentially with the conical spiral block as the center, and C-shaped rings are fixedly connected to the sides, away from the conical spiral block, of the three fixing frames. Meanwhile, when the air injection ring irregularly shakes, cell sap on the inner wall of the bottom of the main body can be continuously disturbed, so that cells and solutes in the cell sap can be more uniformly distributed on the surface of the filter screen, and the condition that the filtering resistance is too large due to local cell accumulation is avoided, so that the filtering effect is improved.

The utility model discloses a balance for experimental detection, which comprises an electronic balance shell, four supporting pieces are symmetrically arranged at the bottom of the electronic balance shell at equal intervals, a protective cover is fixedly connected to the top of the electronic balance shell, and ventilation grooves are formed in the opposite interiors of the two sides of the protective cover. A filtering assembly is arranged in each ventilation groove; the filter assembly comprises a mounting frame inserted in the ventilation groove, a dustproof cotton plate and an activated carbon plate, wherein the dustproof cotton plate and the activated carbon plate are mounted in the mounting frame, and the dustproof cotton plate is close to the outer side of the protective cover. Through the above structure, the protective cover can protect the weighing disc so as to reduce interference of dust and other tiny particulate matters in the environment on a detection result, and the ventilation slot can ensure good ventilation in the protective cover so as to prevent a detection environment from being influenced by a humid environment in the sealed protective cover. And dust and moisture can be prevented from entering under the filtering action of the dustproof cotton plate and the activated carbon plate, so that the detection environment can be kept clean.

The invention discloses an impulse noise elimination method and system based on adaptive mean filtering, and belongs to the technical field of signal denoising, and the method specifically comprises the steps: firstly, forming a multi-scale feature fusion image through collecting an image data set after noise marking, employing local contrast normalization preprocessing, and combining a CNN model and traditional low-level features; secondly, predicting a noise region by utilizing the segmentation capability of the CNN, and dynamically adjusting a boundary; secondly, based on the neighborhood pixel characteristics of the noise region, setting a dynamic weighting function and a filtering window, and performing weighted mean calculation on each pixel to identify and replace noise points; finally, the filtering effect is optimized through deep residual learning, the image quality is enhanced, evaluation and visualization are carried out, and the precision and efficiency of image denoising are effectively improved.

The utility model discloses a pre-filter and a water consumption system, and relates to the technical field of filters. Wherein the pre-filter comprises a valve head, a filter bottle, a filter assembly, an outer framework and an impeller assembly, the outer framework is rotatably arranged outside the filter assembly in a sleeving manner, and the impeller assembly comprises a mounting seat fixedly mounted in the water filtering cavity and an impeller body rotatably mounted on the mounting seat; the impeller body and the outer framework are coaxially connected and fixed in the circumferential direction, and the mounting base comprises a first water inlet formed in one axial side, a second water inlet formed in the circumferential side and a water outlet formed in the other axial side. The technical scheme provided by the utility model has the technical effects that the filtering effect of the filtering assembly is ensured, and the service life of the pre-filter is prolonged.