33results about How to "Preserve continuity" patented technology

The invention, a spiral-guided curved face numerical control machining method, belongs to the numerical control trajectory planning and processing areas. A spiral-guided curved face numerical control machining method is, processing the workpiece with 3D curved face mesh, making spline-interpolation-based planar isometric or non-isometric spiral line as the parameter line, and by mapping, generating 3D physical space processing trajectory, that is, with the clear mathematical expressed planar spiral line guidance, and the pitch of the spiral line should be determined by the spacing requirements of the processing trajectory. First, according to the 3D curved face of the workpiece, make processing trajectory planning; then, according to the used numerical control machine make post-processing to the planed trajectory. Using the spiral-line guided curved face machining method, the cutter movement smooth, wearing small, machine noise low, efficiency high, and save a lot of processing time, decrease the production cost.

The invention discloses a method for achieving up-sampling of a low-resolution depth image based on image features. According to content-based variance of the low-resolution depth image, content-based variance of a low-resolution color image and the coefficient of association between corresponding pixel points of the low-resolution depth image and the low-resolution color image, pixel values obtained after up-sampling of pixel points of the foreground edge of the low-resolution depth image can be well guided to reflect edge information, obtained after up-sampling, of the high-resolution depth image; for discontinuous pixel points in the low-resolution depth image, replacement and refinement are carried out on pixel values, obtained after up-sampling, of the discontinuous pixel points based on pixel points, in a window, of the low-resolution depth image according to the level of similarity between the pixel values obtained after up-sampling and pixel values, with the pixel values obtained after up-sampling as the center, of the pixel points in the appointed window, and therefore the continuity of the high-resolution depth image obtained after up-sampling can be well kept. Through the two steps, edge blur of the low-resolution depth image can be effectively restrained in the up-sampling process.

The invention relates to the technical field of machine part machining, in particular to an automobile hub bolt and a machining technology of the automobile hub bolt. The machining technology of the automobile hub bolt comprises the following technology steps of cold heading, heat treatment, tooth rolling, blacking and dehydrogenation. The automobile hub bolt comprises a lock head and a lock pillar, wherein the lock head and the lock pillar are integrally formed. Threads are formed on the outer surface of the lock pillar, and a positioning shaft shoulder is arranged between the lock pillar and the lock head. A notch is formed in the positioning shaft shoulder. According to the automobile hub bolt machining technology, heat treatment is performed at first, and the treatment of tooth rolling is then performed, metal flow lines of the threaded portion of a product and continuity of uniform organizations after the heat treatment can be better protected, and the adverse risks of decarburization, recarburization, cracking and the like of the product can be obviously prevented. The automobile hub bolt is high in strength, good in safety performance of use and capable of effectively reducing safety risks and danger of an automobile.

The invention discloses an analysis model construction method for typical characteristics of the wind power output. Original data are obtained and data pretreatment is carried out, the data are normalized by using multi-temporal-scale wind power volatility and simultaneous rate valuation indexes, and segmented aggregation is carried out to reduce the dimension; on the basis of an improved adaptivefuzzy clustering algorithm, an adaptive function alpha (c) is calculated and an optimal cluster number c is determined, and wind power output characteristics are classified; a variation dispersion coefficient betai is introduced and wind-power output distortion data are rejected; and a partition weighted median probability estimation method is put forward and a wind-power output daily typical characteristic curve / zone band is identified and extracted. According to the invention, the multi-space-scale large-scale wind power output characteristics and monthly, quarterly or yearly multi-time-scale wind-power output characteristics are analyzed and calculated and the wind-power output daily typical characteristic curve / zone band is extracted, so that the power operation staff can master the wind-power output rule well and a technical reference is provided for real-time scheduling of a power system, scheduling plan arrangement, wind farm planning and system backup configuration.

The invention discloses a video decoding method and a video decoder, which are used for receiving video code streams sequentially and decoding and outputting the video code streams. The video decodingmethod comprises the following steps: marking errors; recording error codes in the process of decoding according to the decoding situation; concealing the errors; generating error concealment parameters according to the error codes recorded in the step of marking the errors; and outputting the error concealment parameters and decoded video code stream data according to a receiving sequence.

The invention provides a method for processing data and identifying fluctuations of historical wind power output, which consists of the steps of: collecting historical wind power output data and analyzing & arranging the output data; carrying out the normalization processing and wavelet filtering processing of the analyzed and arranged historical wind power output data and then carrying out fluctuation division; checking the historical wind power output data and the wind fluctuation clustering effect by means of a visualization method. The invention provides the method for processing data and identifying fluctuations of historical wind power output, which can be used as the pre-stage basis of long-term output time series modeling of wind power and can also be used for the planning and operation analysis of the power system including wind power.

The invention relates to a carbon fiber winding paving variable cross-section adhesive transmission shaft and a combined type mould thereof. The carbon fiber transmission shaft comprises a carbon fiber tube 1, an integrated joint 2 and the combined type mould. The two ends of the carbon fiber tube 1 are bonded on the integrated joint 2, a three-ball pin column at the other end of the integrated joint 2 is matched with a needle bearing 3 and a ball ring 4 to form constant-speed universal connection, and the needle bearing is limited by a clamp spring. A clamp 5 is in a cylindrical shape, and the mold and machining equipment are connected by the clamp 5. The combined type mould comprises a mould body 6 with the two ends being hexagon-like cross sections (including a transition section) and amould body 7 with the middle being circular cross section, and the combined type mould is positioned and matched by a groove and a boss on the mould and then connected with the cylindrical clamp 5. Acenter hole of a square block 8 is used for assisting demoulding. According to the carbon fiber winding paving variable cross-section adhesive transmission shaft and the combined type mould thereof,the design is reasonable, assembly and disassembly of the mould are convenient, the paving scheme is flexible, the problem that demoulding is difficult is solved, the material performance is sufficiently utilized, the transmission shaft and the combined type mould can adapt to different machining equipment and working conditions, the feasibility and operability are high, the weight is lowered by about 53% compared with steel, the inertia is reduced, and energy is saved.

The embodiment of the invention discloses a data crawling method and system and data crawling equipment. The invention relates to the technical field of network information processing. Data crawling is carried out by controlling IP address replacement of the data crawling agent through a process. Compared with a conventional proxy IP crawling technology, the method is advantageous in that the IPaddress of the data crawling agent can be frequently replaced on a large scale to access the target webpage; the method is more suitable for the situation that the requirement of the target webpage for the continuity of data acquisition after login is high, the problem that data acquisition is interrupted due to replacement of the IP address of the crawling agent is solved, the continuity of datais reserved to the maximum extent, the complexity of later data processing is greatly reduced, and the data crawling efficiency is improved.

The invention discloses a hyperspectral ground feature classification method and system of a lightweight dynamic fusion convolutional network. The method comprises the following steps: carrying out the normalization processing of a hyperspectral image, and dividing the hyperspectral image into a training set, a verification set and a test set; setting a dual-path interconnection feature extraction module and a classification module, and constructing a network model; training a network model by using the training set, verifying the network model by using the verification set, and taking the weight of the network model of the first generation with the highest precision on the verification set as the final classification model weight; and inputting the test set into the network model of the first generation with the highest precision for testing to obtain a final classification result, performing hyperspectral image classification, and outputting a classification image according to the classification result. The network parameter quantity is further reduced, the network training time is shortened, and a better classification effect is obtained under the condition of fewer training samples.

The invention provides a big data multidimensional data indexing method based on a space-filling curve and relates to the field of data indexing technology in the big data environment. According to the method, first, a new space-filling curve Flat-zorder is utilized to perform linearization on each record in a file, and then index creation, data retrieval and index update and maintenance are realized according to the corresponding relation between the linearization result and a file name. The Flat-zorder space-filling curve only requires that dimensions are expanded according to an integer ratio, therefore, the continuity of a linear id value on each dimension is reserved, and acceptable complexity and time complexity are achieved. Through the big data multidimensional data indexing methodbased on the space-filling curve, compared with traditional multidimensional data indexing, index creation and update efficiency is improved, data retrieval speed is increased, the size of an index file is reduced, and meanwhile precise matching query and range query are supported.

The invention provides a high-strength TBM center cutter box and a preparation method. The center cutter box comprises an outer cutter box and an inner cutter box, wherein the outer cutter box is madeof a structural steel material; the inner cutter box is made of a low-carbon medium-alloy structural steel material; and the inner cutter box and the outer cutter box are combined through welding. The center cutter box provided by the invention has the beneficial effects that the inner cutter box is treated with tempering and hardening, connection is realized in a firm of welding of the inner andouter cutter boxes, the inner and outer cutter boxes are formed by a forging technology, and the inner cutter box is made of low-carbon medium-alloy structural steel, so welding stress centralization, cracking and deformation of the inner and outer cutter boxes are reduced; through surface hardening of the inner cutter box, strength and fatigue performance of bearing parts can be enhanced; and through de-stress annealing of the inner and outer cutter boxes, distribution of residual stress during forging formation and welding stress centralization points of the inner and outer cutter boxes canbe reduced.

The invention provides a continuous flatly-pressing process for preparing a light wafer board from ultrathin wafers. The process comprises the following steps: 1) slicing wet wood raw materials into the ultrathin wafers; 2) carrying out mesh-belt low-temperature drying on the ultrathin wafers to reach a proper moisture content; 3) gluing the dried ultrathin wafers in a manner of flexible spray gluing and through a tank-type gluing machine; 4) uniformly laying the glued ultrathin wafers by virtue of a plurality of groups of multi-shape laying heads to obtain a board blank; and 5) carrying out hot-pressing shaping on the board blank in a manner of continuous hot-pressing. The process has the following characteristics: the ultrathin wafers are prepared by virtue of middle- and low-grade raw materials, the shape integrity of the wafers is kept through the methods of flexible drying and gluing, then the structure uniformity of the board blank is ensured by virtue of the layered laying of the plurality of laying heads, and continuous production line preparation for the high-performance and low-density wafer board is realized. The preparation process is high in production efficiency; andthe prepared wafer board product is low in density, high in performance, and high in market competitiveness.

The invention relates to the technical field of automobile driving, can be applied to automatic driving vehicles, and particularly relates to a driving style identification method and device, the method comprises the following steps: obtaining each feature vector value of a target vehicle at each continuous moment, the feature vectors being used for representing the instantaneous driving state of the target vehicle, the feature vector comprises a state feature used for representing a state between the target vehicle and a related object thereof; sampling each feature vector value by taking continuous N values as a sampling unit to obtain a plurality of samples, N being a preset value; and determining the driving style of the target vehicle according to the plurality of samples. Based on the technical scheme provided by the invention, the driving style identification result can be more comprehensive and accurate.

The invention relates to a continuous modeling method considering upstream and downstream linear design parameters of a road section, and is applied to the field of combined linear safety assessment and optimization. The method comprises: a road operation index change sequence of a driver sample is collected, and when upstream and downstream linear parameters are extracted, the optimal set metering distance of operation indexes is selected by comparing the fitting goodness of a prediction model; extracting a mean value from the continuous variable speed to construct a multivariate linear regression model, and constructing a hybrid linear model taking a driver as a classification variable based on the individual value of the driver of each variable; and according to model comparison and parameter estimation results, selecting an upstream and downstream set counting distance with an optimal fitting effect; and finally obtaining a model parameter estimation result.

The present invention provides a historical wind power output data processing and fluctuation identification method, comprising the following steps: collecting historical wind power output data, and analyzing and sorting it; performing normalization processing and wavelet filtering processing on the analyzed and sorting historical wind power output data , and divide the fluctuations; use the visualization method to test the clustering effect of historical wind power output data and wind fluctuations. The invention provides a historical wind power output data processing and fluctuation identification method, which can be used as the early basis for wind power mid- and long-term output time series modeling, and can also be applied to power system planning and operation analysis including wind power.

The invention provides an unsupervised driving style analysis method based on a basic driving operation event. The unsupervised driving style analysis method comprises the steps that data are acquired and preprocessed; extracting a basic driving operation event; performing feature construction and extraction on each event in the basic driving operation events to obtain event intensity features; event intensity clustering is carried out through k-means, and event intensity category labels are marked; obtaining a dynamic time window, and constructing a time-varying event curve which represents a driving style in the dynamic time window and has an event intensity category label; and based on a curve clustering algorithm fused with DTW, the curves of the dynamic time windows are clustered to obtain various time window curves, and driving style types are labeled. According to the method, a basic driving operation event is taken as a basic unit, event intensity and event transfer characteristics are considered, a change curve of the event along with time is taken as a characteristic for describing a driving style, dynamic decision information, data continuity and time characteristics of a driving behavior are reflected, original data information is reserved, and driving style analysis accuracy is improved.

The invention discloses a method for constructing an analysis model of typical characteristics of wind power output, which acquires original data and preprocesses the data, and normalizes the data by using wind power fluctuations and simultaneous rate evaluation indicators representing multi-temporal and spatial scales, and the segmentation aggregation reduces dimension; based on the improved adaptive fuzzy clustering algorithm, calculate the adaptive function α(c), determine the optimal cluster number c, and classify the wind power output characteristics; introduce the variation dispersion coefficient β i , to eliminate the wind power output distortion data; propose a partition weighted median probability estimation method, identify and extract the daily typical characteristic curve / interval of wind power output. The invention analyzes and calculates the characteristics of large-scale wind power output in multiple spatial scales, and the wind power output characteristics in multiple time scales of months, quarters or years, and extracts daily typical characteristic curves / intervals of wind power output, so that electric power operators can better grasp wind power Output law provides technical reference for real-time dispatching of power system, dispatching plan arrangement, wind farm planning and system backup configuration.

The invention discloses a combined spiral reinforced bone anchor, which belongs to the field of medical instruments. The combined spiral-reinforced bone anchor of the present invention includes two parts: an anchor and a helical screw. The anchor includes an anchor head and an anchor main body. The helical screw includes a helical main body. head with a tail for helical screw rotation implantation at the rear. The present invention organically combines the anchor and the helix. When using the anchor, the anchor is driven in first, and then the helix is ​​screwed in. The helix is ​​used to provide the holding force of the anchor in the bone. It can effectively disperse stress and cause little damage to bone; in addition, the distance and quantity of anchor implantation are limited, and the anchor implantation density can be higher, which is especially suitable for tendon suture fixation in patients with osteoporosis ; and if the anchor is loose, it can be reimplanted in situ by replacing the screw with a larger diameter, and the operation is simpler and more flexible.

The invention relates to the technical field of machine part machining, in particular to an automobile hub bolt and a machining technology of the automobile hub bolt. The machining technology of the automobile hub bolt comprises the following technology steps of cold heading, heat treatment, tooth rolling, blacking and dehydrogenation. The automobile hub bolt comprises a lock head and a lock pillar, wherein the lock head and the lock pillar are integrally formed. Threads are formed on the outer surface of the lock pillar, and a positioning shaft shoulder is arranged between the lock pillar and the lock head. A notch is formed in the positioning shaft shoulder. According to the automobile hub bolt machining technology, heat treatment is performed at first, and the treatment of tooth rolling is then performed, metal flow lines of the threaded portion of a product and continuity of uniform organizations after the heat treatment can be better protected, and the adverse risks of decarburization, recarburization, cracking and the like of the product can be obviously prevented. The automobile hub bolt is high in strength, good in safety performance of use and capable of effectively reducing safety risks and danger of an automobile.

The invention is suitable for the field of image processing, and provides a method and device for smoothening a disparity map and electronic equipment. The method comprises the following steps: initializing A(z, y), B(x, y) and F(x, y) into all-zero matrixes; acquiring all pixel points (x<k>, y<k>) satisfying S(x, y)=k in S(x, y); making A(x<k>, y<k>)=M(x<k>, y<k>), B(x<k>, y<k>)=1; computing all A(x<k>-i, y<k>-i) and T(x<k>, y<k>) taking x<k>, y<k> as a center; computing the sum of all B(x<k>-i, y<k>-i) taking x<k>, y<k> as a center to obtain the quantity T(x<k>, y<k>) of all the pixel points satisfying S(x, y); and computing F(x<k>, y<k>) according to T(x<k>, y<k>) and T(x<k>, y<k>). Through adoption of the method and device for smoothening the disparity map and the electronic equipment, the smoothness or continuity of disparity is realized, and the sudden change or discontinuity of an object edge is kept.

The invention discloses a solid wood furniture curved surface veneer process, which belongs to the field of furniture manufacturing and comprises the following steps: a. determining the surface to be veneered; b. three-dimensional modeling; c. making a veneer mold: using a 3D printer to print The skinning mold of veneer; d, equally divided skinning mold: the described skinning mold is divided into N equal parts skinning molds, and each equalization skinning mold comprises equal parts to be veneered; e, cutting furniture Skin: using the equal parts pasting mold, the furniture skin is cut into the skin to be pasted in the shape of the equal parts to be pasted; f, furniture pasting: the cut N pieces to be pasted on the furniture to be pasted Paste the skin one by one on the veneer. The invention also discloses a kind of solid wood furniture with veneered curved surface columns. The solid wood furniture curved surface veneer process disclosed by the invention and the solid wood furniture with veneered curved surface columns are easy to operate, reduce costs, and the veneer is smooth and even, High skin efficiency.

The invention discloses a composite material pipe applicable to a spiral key connection, and a producing method for the composite material pipe, wherein the composite material pipe comprises an inner pipe and an outer pipe; two spiral slots uniformly distributed in an annular direction are respectively arranged on inner walls of the inner pipe and the outer pipe, and the two spiral slots are equal in spiral direction and corresponding in position; both blanks of the inner pipe and the outer pipe are molded by a fabric tape winding machine; during winding, an tensile force of a fabric tape is 50N / m. The inner pipe and the outer pipe are obtained by putting the blanks into an oven, increasing temperature to 160 DEG C by a gradient means and then curing. The spiral slots are respectively processed on the inner pipe and the outer pipe. When the composite material pipe is used, connection between the inner pipe and the outer pipe is realized by mutually-corresponding spiral keys. Force distribution is comparatively uniform under an axial pulling force or a pressing force, thereby effectively avoiding damage to a main body caused by stress concentration because of adoption of a normal pin or a riveting manner. In comparison with a thread connection, reliability is improved by 80%, and a hidden danger caused by the connection by a metal connecting piece in a corrosive environment is effectively avoided.

The invention discloses a curved surface veneering process of solid wood furniture, and belongs to the field of furniture manufacturing. The curved surface veneering process includes the following steps that a, a to-be-veneered surface is determined; b, three-dimensional modeling is conducted; c, a veneering mold is manufactured, specifically, a three-dimensional printer is used for printing the veneering mold including the to-be-veneered surface; d, the veneering mold is equally divided, specifically, the veneering mold is equally divided into N divided veneering mold bodies, and each dividedveneering mold body includes an equally divided to-be-veneered surface; e, furniture skin is cut, specifically, the furniture skin is cut into to-be-veneered skin in the shape of the equally dividedto-be-veneered surfaces through the divided veneering mold bodies; and f, furniture is veneered, specifically, the cut N pieces of to-be-veneered skin are veneered on the to-be-veneered surface of thefurniture one by one. The invention further discloses the solid wood furniture with veneering curved surface vertical columns. According to the curved surface veneering process of the solid wood furniture and the solid wood furniture with the veneering curved surface vertical columns, operation is easy, the cost is reduced, veneering is smooth and even, and the veneering efficiency is high.

The invention discloses a method for achieving up-sampling of a low-resolution depth image based on image features. According to content-based variance of the low-resolution depth image, content-based variance of a low-resolution color image and the coefficient of association between corresponding pixel points of the low-resolution depth image and the low-resolution color image, pixel values obtained after up-sampling of pixel points of the foreground edge of the low-resolution depth image can be well guided to reflect edge information, obtained after up-sampling, of the high-resolution depth image; for discontinuous pixel points in the low-resolution depth image, replacement and refinement are carried out on pixel values, obtained after up-sampling, of the discontinuous pixel points based on pixel points, in a window, of the low-resolution depth image according to the level of similarity between the pixel values obtained after up-sampling and pixel values, with the pixel values obtained after up-sampling as the center, of the pixel points in the appointed window, and therefore the continuity of the high-resolution depth image obtained after up-sampling can be well kept. Through the two steps, edge blur of the low-resolution depth image can be effectively restrained in the up-sampling process.

The invention is suitable for the field of image processing, and provides a method and device for smoothening a disparity map and electronic equipment. The method comprises the following steps: initializing A(z, y), B(x, y) and F(x, y) into all-zero matrixes; acquiring all pixel points (x<k>, y<k>) satisfying S(x, y)=k in S(x, y); making A(x<k>, y<k>)=M(x<k>, y<k>), B(x<k>, y<k>)=1; computing all A(x<k>-i, y<k>-i) and T(x<k>, y<k>) taking x<k>, y<k> as a center; computing the sum of all B(x<k>-i, y<k>-i) taking x<k>, y<k> as a center to obtain the quantity T(x<k>, y<k>) of all the pixel points satisfying S(x, y); and computing F(x<k>, y<k>) according to T(x<k>, y<k>) and T(x<k>, y<k>). Through adoption of the method and device for smoothening the disparity map and the electronic equipment, the smoothness or continuity of disparity is realized, and the sudden change or discontinuity of an object edge is kept.

Context associated with content may be received. An additional content may be generated for insertion into the content. The additional content can be created to be within the context associated with the content and based on a likely responsiveness of the user to the additional content, the additional content referring to an item. The additional content preserves continuity and / or semantics in the context of the content.

The invention is applicable to the technical field of image processing, and provides an image noise reduction method and a device. The method comprises steps: a pixel point set is extracted from an input image, a preset parameter value k of a pixel in the pixel point set is no less than 1 and no more than K, and the pixel (x, y) in the pixel point set is marked to be (xk, yk); based on the input image, K first images Ik(x, y) are generated; based on the input image, K second images Ck(x, y) are generated; first filter processing and second filter processing are respectively carried out on each first image, and an image after noise reduction processing is obtained. According to the image noise reduction scheme provided by the invention, the image can be segmented according to attributes such as a brightness value of the image pixel, computational complexity of the overall scheme is reduced, and the software cost and the hardware cost for scheme realization are greatly reduced. While the image noise is reduced, edges of an object in a fuzzy image can be avoided.