3063 results about "Noise pollution" patented technology

The invention relates to a high-efficiency multifunctional modular interior air purification device. A device main body is cylindrical and consists of three cylindrical function modules which are combined and include a main l function module, a power control module and an additional function module from bottom top. The main function module with 360-degree omnibearing intake air design consists of a protective hood, a free rotating guide plate, a washable prefiltering glass fiber layer, an attached active carbon adsorption layer, an attached nano active carbon adsorption layer, a high-efficient PTFE filter layer, a load nano TiO2 porous ceramic sequentially from bottom top, as well as a UV lamp in the middle from the outside to the inside; the power control module consists of a power cord, a multifunctional power jack, a fan and a control panel; and the additional function module consists of a cylindrical guide plate, a guide protective hood and a solid essential oil dispersion box/negative ion generator/humidifier and the like. The high-efficiency multifunctional modular interior air purification device is compact in design structure, has no noise pollution, low energy consumption and an obvious purification effect, and is suitable for use in various interior places.

The present invention relates to variable speed constant frequency (VSCF) devices and methods for maximizing engine generator efficiency. In one embodiment, a VSCF device may include at least two paths for conducting power to the load. One path, a line inductor path, may advantageously incur minimal power loss when the engine generator is supplying rated power to a load. A second path, a VSCF path, may be used to ensure that the frequency of the power is maintained at a substantially constant frequency under various load conditions. Another embodiment of the invention describes a process for determining optimal engine generator speed for a particular load. Because engine speed can be varied using any VSCF device, this process determines a speed that minimizes fuel consumption, emissions, and noise pollution for a given load.

A method of parameter adaptation is used to modify the parameters of a model to improve model performance. The model separately estimates the contribution of each model parameter to the prediction error. It achieves this by transforming to the time-scale plane the vectors of output sensitivities with respect to model parameters and then identifying the regions within the time-scale plane at which the dynamic effect of individual model parameters is dominant on the output. The method then attributes the prediction error in these regions to the deviation of a single parameter from its true value as the basis of estimating individual parametric errors. The proposed Signature Isolation Method (PARSIM) then uses these estimates to adapt individual model parameters independently of the others, implementing, in effect, concurrent adaptation of individual parameters by the Newton-Raphson method in the time-scale plane. The Signature Isolation Method has been found to have an adaptation precision comparable to that of the Gauss-Newton method for noise-free cases. However, it surpasses the Gauss-Newton method in precision when the output is contaminated with noise or when the measurements are generated by inadequate excitation.

The present invention discloses a test device and test method for the noise reduction headphone. The test device comprises: an enclosed cavity, a noise source, a test panel, a measuring microphone and a measure comparison module connected with the measuring microphone. The sound emitted from the noise source is sealed within the enclosed cavity. The test panel can cooperate with the noise reduction headphone to form a coupling cavity in the test. The test panel has a sound guiding hole in the common part with the enclosed cavity for transmitting the sound of the noise source into the interior of the coupling cavity. The test panel also has a mounting hole, and the measuring microphone is mounted on the mourning hole towards the direction of the coupling cavity. The measuring microphone records noise signals before and after the noise reduction function of the noise reduction headphone is activated. The measure comparison module receives the signals recorded these two times by the measuring microphone and performs comparison processing to obtain noise reduction amount of the noise reduction headphone. The technical solution of the present invention solves the problem of noise pollution caused by high-power external noise sources to the surrounding environment during the test process of noise reduction amount of the headphone, meanwhile, no special shielding room is required, and the requirement on test environment is relieved.

The invention discloses a prescription of a ceramic-based friction material used in a vehicle braking friction pad, comprising the components (by weight): adhesives 5 percent-15 percent, intensifier 23.5 percent-33.5 percent, grinding aid 0 percent-7 percent anti-wearing lubricant 11.3 percent-21.3 percent, elastic toughening agent 5.7 percent-15.7 percent and filling material 27.5 percent-37.5 percent. The total amount of the components is 100 percent. The materials of the invention can be processed and molded into the vehicle braking pad that is applicable to friction braking on a vehicle braking device. The anti-wearing performance of the pad can be greatly enhanced, thereby reducing noise pollution and promoting the performance of the braking system of the vehicle.

The invention discloses a garment QD code recognition method. The method includes the following steps that firstly, a two-dimension code image attached to a garment raw material is collected; secondly, the image is subjected to graying, fast median filtering and binarization processing; thirdly, the image having been subjected to binarization processing is subjected to edge extraction; fourthly, two side edge regions obtained after edge extraction of a QR code are separated out; fifthly, Hough transform is adopted to detect a side-edge imaginary line so as to obtain the deviation angle of the QR code; sixthly, the image having been subjected to binarization processing is rotated according to the bilinear interpolation method, and initial correction is carried out; seventhly, the QR code is positioned, the sequence of three view finding images is determined, and the QR code is adjusted to have a correct orientation according to the image matrix transposition turning method; eighthly, decoding is carried out according to the national two-dimension code standard. According to the method, due to the combination of projection cutting and the Hough transform method, the deviation angle of the QR code can be quickly and accurately acquired, the collected image is immune from noise pollution and uneven illumination, and the two-dimension code image easy to identify can be obtained through transform.

The invention relates to the field of heating ventilation air conditioners, in particular to an improved air treatment method and a fresh air conditioner device. The invention improves the problems of traditional fresh air treatment and air conditioners and particularly emphasizes that a plate-type air-air heat exchanger and indirect water evaporative cooling are used for recycling energy of sensible heat and latent heat in air exhaust in the fresh air treatment process of damp and hot regions in summer and condensed water is directly evaporated on an evaporator to improve the working condition of a compressor. Under the condition of quantificationally supplying outdoor fresh air, the energy efficiency ratio of the fresh air conditioner is increased, the thermal pollution, damp pollution and noise pollution of the fresh air conditioner to environments are reduced, the indoor air quality is improved, and meanwhile, the fresh air conditioner provides the manufacture, installation and using convenience for a local region all-air central air conditioner. The fresh air conditioner provided by the invention and a design and manufacture method of the fresh air conditioner are applicable throughout the year in various regions, particularly in the damp and hot regions; and the fresh air system provides controlled, comfortable and healthy air environments for indoor activity space of people and air conditioner environments for technology for processing, storage and the like.

The invention discloses a low-noise acupuncture machine, which includes an acupuncture machine body, an acupuncture mechanism, a noise processor, a deviation correction microphone, a reverse sound wave speaker, and a shock absorbing pad. The acupuncture mechanism is arranged in the acupuncture machine body. The noise processor is arranged outside the acupuncture machine body, the deflection correction microphone is arranged beside the acupuncture mechanism and connected to the noise processor, the reverse sound wave speaker is arranged beside the acupuncture mechanism and connected to the noise processor, the The shock absorbing pad is arranged at the bottom of the acupuncture machine body. Through the above method, the present invention provides a low-noise acupuncture machine, which uses a noise processor to obtain the working frequency of the acupuncture mechanism and generates reverse sound waves for noise reduction, greatly reducing the noise pollution of the acupuncture machine, and using cushioning and shock-absorbing pads to avoid The resonance noise of the equipment greatly reduces the overall noise of the acupuncture machine.

The automatic control method for steel ball coal mill in thermal power plant adopts a double-layer control structure, including an upper layer of self optimizing algorithm and a lower layer of multidimensional fuzzy control algorithm. The self optimizing algorithm finds out the optimal inside coal storage quantity inside the coal mill, the optimal outlet temperature of the coal mill and the optimal inlet negative pressure value of the coal mill as the controlling set values; and the multidimensional fuzzy control algorithm realizes the automatic regulation of the coal feed quantity, the hot air valve opening, and the recirculating air valve opening or the cold air valve opening, so as to ensure the safe and reliable running of the steel ball coal mill system in optimal mode.

The invention relates to production technology for a concrete precast element with energy-saving and environment-friendly functions. In the production of the prior concrete precast element, the fixing of a precast element mould, operators, lifting equipment and raw materials of production are in a motion state, and the production has low efficiency, serious noise pollution, large steam loss, and large energy consumption, and cannot isolate vibrating noise. The technology comprises the following steps: demoulding of a precast element; clearing the inner surface of the mould and spraying mould oil; installing an embedded part and lifting a reinforcement cage; casting concrete and vibrating the concrete; touching the surface of the concrete and clearing the outside surface of the mould; standing and curing; polishing the surface of the concrete; and steam curing. The mould does reciprocating running circularly by current production equipment, and workers, materials and equipment are fixed relatively so as to improve the productivity. The working procedures of vibrating and steam curing are carried out in a fixed station so as to isolate the noise effectively and carry out effective heat insulation on the steam loss and heat loss. The production technology has significant energy conservation and environment protection, and is favorable for popularizing.

The invention relates to a method of estimating noise power spectral density PSD in an input sound signal comprising a noise signal part and a target signal part. The invention further relates to a system to its use. The object of the present invention is to provide a scheme for estimating the noise PSD in an acoustic signal consisting of a target signal contaminated by acoustic noise. The problem is solved by a method comprising the steps of d) providing a digitized electrical input signal to a control path and performing; d1) storing a number of time frames of the input signal each comprising a predefined number N2 of digital time samples x_n (n=1, 2, . . . , N₂), corresponding to a frame length in time of L₂=N₂/f_s; d2) performing a time to frequency transformation of the stored time frames on a frame by frame basis to provide corresponding spectra Y of frequency samples; d3) deriving a periodogram comprising the energy content |Y|² for each frequency sample in a spectrum, the energy content being the energy of the sum of the noise and target signal; d4) applying a gain function G to each frequency sample of a spectrum, thereby estimating the noise energy level |Ŵ|² in each frequency sample, |Ŵ|²=G·|Y|²; d5) dividing the spectra into a number N_sb2 of sub-bands, each sub-band comprising a predetermined number n_sb2 of frequency samples, and assuming that the noise PSD level is constant across a sub-band; d6) providing a first estimate |{circumflex over (N)}|² of the noise PSD level in a sub-band based on the non-zero noise energy levels of the frequency samples in the sub-band; d7) providing a second, improved estimate |Ñ|² of the noise PSD level in a sub-band by applying a bias compensation factor B to the first estimate, |Ñ|²=B·|{circumflex over (N)}|². The invention may e.g. be used in listening devices, e.g. hearing aids, mobile telephones, headsets, active earplugs, etc.

The invention discloses a remote-sensing image coastline extracting method based on an information vector machine. The remote-sensing image coastline extracting method includes the steps of firstly obtaining a remote-sensing image containing coastline information, calculating the normalization difference water body index according to wave band information of the remote-sensing image, and obtaining a NDWI image; then selecting sample points on the NDWI image, extracting the color characteristics, the textural characteristics and the types to construct a training sample, and training an IVM model; then automatically classifying all pixels of the image through the trained IVM model, and partitioning seawater from land of the remote-sensing image; finally extracting a coastline with the graying and binarization image processing technology. The remote-sensing image coastline extracting method has the advantages that the coastline extracting accuracy under noise pollution is remarkably improved, the coastline is rapidly and accurately extracted, and an efficient technological means is provided for measuring, identifying and analyzing the coastline.

The invention discloses a graph embedding low-rank sparse representation recovery sparse representation face recognition method and belongs to the technical field of computer vision and mode recognition. The method comprises the steps that firstly, a graph embedding low-rank sparse representation recovery method is provided, a clean training sample data matrix with the high discrimination power can be recovered from a training sample data matrix, and meanwhile a training sample data error matrix is obtained; secondly, the sparse representation coefficient of face data to be recognized is obtained by using the clean training sample data matrix as a dictionary, using the training sample data error matrix as an error dictionary, and adopting the norm optimization technology; thirdly, according to the sparse representation coefficient of the face data to be recognized, class association reconstruction is carried out on the face data to be recognized; finally, a face image to be recognized is recognized based on the class association reconstruction error of the face data to be recognized. According to the graph embedding low-rank sparse representation recovery sparse representation face recognition method, the problem that the face recognition effect is poor on the conditions that a training sample image and an image to be recognized are polluted by noise or partially blocked can be solved.

A scaffolding assembly includes a plurality of sound attenuating sheets, detachably mounted on a frame erectable substantially adjacent to a structure. The frame includes sheet supporting members. The sheet supporting members and the plurality of sound attenuating sheets when mounted on the sheet supporting members define an enclosed working area adjacent the structure, so as to affect a seal to substantially contain air pollution and other detritus, and noise pollution within the enclosed scaffolding assembly when erected adjacent to the structure. An inclined catchment ramp is mounted along the length of at least one of the scaffold working decks so as to sandwich each ramp between the working deck and the adjacent wall of the structure.

The invention discloses dynamic impact loading test bed and a test system thereof. The dynamic impact loading test bed comprises an impact unit, a lifting unit and a test piece plummer, wherein the impact unit is carried on a fixed rack and is connected with a tension spring unit; and the tension spring unit can exert an elastic restoring force on the impact unit. The dynamic impact loading test system comprises the dynamic impact loading test bed and tests the mechanical property of a test piece to be tested by connecting with a computer. The dynamic impact loading test bed and the system exert extra downward elastic restoring force on the impact unit by the tension spring unit, can still obtain higher impact loading speed under the precondition of realizing device miniaturization and has the functions and advantages of high energy conversion rate, little noise pollution, stable emission, easy speed regulation, convenient test repetition, and the like.

The invention produces a higher quality image from a rendering system based on a relationship between the output of a rendering system and the parameters used to compute them. We propose a method that robustly combines color and feature buffers to denoise Monte Carlo renderings. On one hand, feature buffers, such as per pixel normals, textures, or depth, are effective in determining denoising filters because features are highly correlated with rendered images. Filters based solely on features, however, are prone to blurring image details that are not well represented by the features. On the other hand, color buffers represent all details, but they may be less effective to determine filters because they are contaminated by the noise that is supposed to be removed. We propose to obtain filters using a combination of color and feature buffers in an NL-means and cross-bilateral filtering framework. We determine a robust weighting of colors and features using a SURE-based error estimate. We show significant improvements in subjective and quantitative errors compared to the previous state-of-the-art. We also demonstrate adaptive sampling and space-time filtering for animations.

A method for discriminating noise from signal in a noise-contaminated signal involves decomposing a frame of samples of the signal into decorrelated components, and using a difference between probability distributions of the noise contributions and the signal contributions to identify signal and noise. A Gaussian distribution is used to determine whether the components are only noise whereas a Laplacian distribution is used to determine whether the components contain the signal. Such discrimination may be used in speech enhancement or voice activity detection apparatus.

The invention discloses a multifunctional combined lightweight concrete curtain wall and a constructing method thereof. The multifunctional combined lightweight concrete curtain wall is mainly composed of lightweight concrete board units along the outer surface of the main structure of a building. Each lightweight concrete board unit comprises at least two lightweight concrete boards which are horizontally arranged and spliced. A decorating surface is disposed on the outer surface of each lightweight concrete board. The upper end and lower end of each lightweight concrete board unit are respectively clamped into profile steel with a grooved cross section, and the profile steel located at the upper end of the lightweight concrete board unit is provided with hanging pieces for being connected with the main structure of the building. Gaps among the lightweight concrete boards and among the lightweight concrete board units are filled. The multifunctional combined lightweight concrete curtain wall based on self-structural-strength of the lightweight concrete boards and having the advantages of the lightweight concrete curtain walls has the advantages that structure and decoration are produced at one step in factories, construction garbage is few, noise pollution is reduced, safe and fast mounting is achieved, work efficiency is high, construction cost is lowered, and the multifunctional combined lightweight concrete curtain wall is widely applicable to building outer wall containment systems.

The invention relates to a fusion method of SAR (Synthetic Aperture Radar) images and visible light images on the basis of NSCT (Non Subsampled Contourlet Transform). The fusion method is characterized by comprising the following steps of: firstly, carrying out NSCT decomposition on the SAR images and the visible light images respectively; then adopting different fusion rules to carry out fusion treatment on NSCT low-frequency and high-frequency subband coefficients, wherein according to the decomposition coefficient characteristics of noise and signals in an NSCT domain, carrying out hard-threshold denoising on the NSCT high-frequency subband coefficient of the SAR images under the maximum decomposition scale, then respectively adopting different fusion rules to carry out fusion processing on the NSCT high-frequency subband coefficient under the maximum decomposition scale and other decomposition scales by adopting the coefficients with threshold processing as the basis; and finally,carrying out NSCT reverse transformation on the fused NSCT coefficients and obtaining fused images. The fusion method takes denoising as the basis of the fusion rule design, considers noise suppression while fusion treatment is carried out, is simple and easy to operate, can be used for obtaining a good fusion effect and is especially more applicable to the SAR images and the visible light imageswith serious spot and noise pollution.

A vertical range-hood active noise reduction device and a noise reduction method with the application of the device are disclosed. An air inlet of the range hood is divided into at least two air inlet ducts. A separate active control device is installed in each air inlet duct. Each active control device contains a reference microphone, an error microphone and a loudspeaker and is controlled by an active noise reduction controller. The reference microphone is installed at the back end of the corresponding air inlet duct. The error microphone is mounted at the front end of the corresponding air inlet duct. The loudspeaker is positioned between the reference microphone and the error microphone. The invention has advantages as follows: each active control device cooperates with the active noise reduction controller; and according to values of noise signals and error signals, output of the loudspeaker is adjusted through the active noise reduction controller. Thus, the purpose of noise reduction is achieved on the precondition of not influencing other parameters of the range hood or reducing performance of the range hood. In particular, low-and-medium frequency noise of the vertical range hood is greatly reduced, and the main noise pollution source of a kitchen is eliminated.

A defogged image denoising method based on transmissivity comprises the steps: (1) obtaining a defogged image containing noise and a transmissivity image, (2) roughly estimating an overall noise variance, (3) according to the noise variance confirmed in the step (2), confirming and calculating several parameters, (4) according to the parameters, searching similar pixels, using the transmissivity as a criterion, pre-screening the pixels in the searching range, and removing points dissimilar to pixels to be denoised, (5) constructing a correction factor based on the transmissivity and weakening pixel weight polluted by the noise, (6) calculating a gradient mean value difference of a whole image and a searching window, inputting a built parameter optimization model, and conducting adaptive correction on denoising parameters in different areas, (7) calculating a similarity weighted mean value of all the pixels in the searching range to replace the pixels to be denoised, and (8) outputting a denoising result after all the pixels are processed. The defogged image denoising method has the advantages of being high in detail protection degree, good in denoising effect, low in complexity and the like.