Product function gene modeling system and method

The invention discloses a product function gene modeling system and method. The system comprises a behavior describing unit, a overall function determining unit and a overall function decomposing unit, wherein the behavior describing unit is used for describing the functional relation of parts among products; the overall function determining unit is used for analyzing functional requirements suggested by users, grasping the core of the overall design task to obtain the design requirements of the products and abstracting the overall function of the products; the overall function decomposing unit is used for decomposing the overall function into a plurality of simple subfunctions. The system also comprises a product function reasoning module which further comprises an FTML file reading unit, a function element matrix converting unit, a matrix adjusting unit and an FTML film converting unit. Aiming at function design knowledge and design object knowledge, the invention provides the function ...

System for reconstructing three-dimensional based on main direction characteristic discrimination and implementing method thereof

The invention provides a three-dimensional view reconstruction system based on principal direction feature recognition, and an implement method thereof. Firstly, the information of vertexes and vectors contained in a three-dimensional view is subjected to formatting treatment, so as to construct a vector ring; then, through determining the principal direction, the sketch plane and the stretching distance are searched in other views by taking the loop in the view where the principal direction is located as the feature contour, thereby obtaining the features; and finally, the Boolean relation among the features is obtained through the relation among the loops, thereby reconstructing a three-dimensional solid. The invention does not search all loops in the view, and deletes the redundant loops in time after finding the features, thereby reducing the times of the repeated match and effectively improving the reconstruction efficiency.

Self-calibrating method of translational initial value operating

The invention discloses a self-calibration method for initial value translation operation. The method comprises the following steps: firstly, an objective function f(c) is constructed; secondly, a video camera is controlled to be relative to a certain initial position, the pose is maintained to be unchanged, the linearly independent translational motion is done for three times, three translation vectors relative to the initial position are respectively obtained, the matching point pairs on an image plane after the three-time translational motions are selected, and the initial value k of the intrinsic parameter of the video camera is determined to be Ab; thirdly, the initial value of C is determined, and a nonlinear optimization objective function method is used for refining the initial value; and fourthly, the matrix K of the intrinsic parameter after the refinement is evaluated. The self-calibration method can effectively improve the computer visual robustness.

Space-time crack data inference method based on graph and attention

The invention provides a space-time crack data inference method based on graphs and attention. The method comprises the following steps: S1, acquiring an original sparse matrix containing space-time crack data; s2, removing all space-time cracks in the original sparse matrix to obtain a crack-free sparse matrix with a smaller size; s3, inferring a crack-free sparse matrix by using a matrix decomposition technology; s4, the space-time cracks removed in the step S2 are put back again, and a preprocessed sparse matrix is obtained; s5, constructing a space block based on the graph attention network and a time block based on Transform, and combining the space block and the time block into a space-time neural network structure; s6, inputting the preprocessed sparse matrix into the model of the space-time neural network structure to obtain an inferred matrix and calculate loss; s7, repeating the step S6 to train the model until convergence; according to the method, ideal complete data can be effectively ...

Actuator

The utility model discloses an actuator, a serial communication port, include the pivot of being connected with jack box both sides, the one end of pivot is exposed from one side of jack box, should expose to serve to be equipped with the twist grip, both ends that the twist grip is located the pivot be respectively closing a floodgate end, separating brake end, upper portion in the middle of the pivot is passed through the swinging arms and is connected with the one end of connecting rod, and the other end of connecting rod is equipped with the slider, and slider and the guide slot that is fixed in on the circuit breaker cooperate. The utility model discloses can realize that can transmit tensile various article or instrument through pull rod, patchcord, chain etc. Performs ground to the jack box of eminence installation and divide closing operation. Through the twist grip among the pulling rotary mechanism such as pull rod, patchcord, chain, it is rotatory to make it drive the pivot, ...

Products intelligent design system

Development and design platform for digitalized model of three-dimensional product by CAD (Computer Aided Design)

The invention provides a development and design platform for digitalized model of three-dimensional product by CAD, comprising: a demand representation acquiring module, a product knowledge library, a product part library, a demand analysis preprocessing module, a product list generating module, a product demand inspecting module and the like; the development and design platform forms a feasible product list with reference to the product knowledge library and the product part library by analyzing demand information, and obtains accurate three-dimensional model of tire products by means of processing in CAD software according to the product list, thus quick design of tire is implemented.

Freshwater fish compound feed and preparation method thereof

The invention provides a freshwater fish compound feed and a preparation method thereof, and the freshwater fish compound feed comprises the following raw materials in parts by weight: 39-44 parts of corn protein powder, 22-34 parts of cottonseed protein powder, 5.4-9.2 parts of hermetia illucens larva powder, 11-23 parts of fish oil, 20-30 parts of schizochytrium limacinum powder, 7.5-12.4 parts of soybean lecithin powder, 4-10 parts of maltitol, 8-12 parts of sodium butyrate, 8-15 parts of Chinese herbal medicine liquid, and 0.2-0.8 part of a composite starter. The steps of raw material mixing, traditional Chinese medicine liquid fermentation, homogenization, puffing, spray drying and the like are carried out in sequence, the feed quality is controlled, the high absorption rate and palatability in the compound feed are well achieved, intake of traditional Chinese medicine fermentation liquid components is ensured, the survival rate and growth speed of freshwater fish are remarkably increased ...

Products intelligent design method

The present invention relates to a product intelligence designing method, firstly, a theory base and a reflection base that the function is reflected with the characteristic are set up; secondly, according to the total function of the product waited to be designed, the theory base is searched to judge whether the physical theory for realizing the total function is possessed, if being not possessed, then the total function is decomposed into multiple sub-functions, and according to the multiple sub-functions, the theory base is searched respectively again to judge whether each of the relative physical theory for realizing the multiple sub-functions respectively is possessed, when each of the physical theory relative to each function is searched out, the reflection base is searched again to search out multiple relative characteristics reflected with each function; thirdly, according to the weight of each function influential factor possessed respectively by each function and the multiple ...

Product characteristic gene encoding method

The invention discloses a method for coding a product feature gene. The method comprises the following steps: step A, feature types of a product are described, wherein, the feature types comprises one or more of extrude feature, revolve feature, fillet feature, chamfer feature, layer shell feature, hole feature; step B, a main feature shape corresponding to the feature type of the step A is described. The extrude feature can be obtained by extending a sketch contour line to a certain height along a certain direction; the revolve feature can be obtained by revolving a closed curve to a certain angle along a central axis; the fillet feature comprises an edge fillet, a variable-radius fillet, a face-face fillet and a triplanar fillet; the chamfer feature is represented according to a chamfer mode; the bit is set to be zero regarding the layer shell feature; the hole feature comprises a simple hole, a conical hole, a counter sink, a rivet hole and a countersunk head rivet hole. In the invention ...

Pattern matching recognition system and implementing method thereof

The invention provides a shape matching identification system and the implementation method thereof, aiming at the problems in the prior art after the color and shape identifications are researched. Firstly, a digital camera is adopted to shoot the object adhered with an artificial label for the three-dimensional reconstruction and form the picture of the object; then the shape characteristic andthe color characteristic of the picture are extracted through the characteristic extraction module; the shape characteristic and the color characteristic are written into a characteristic vector and normalized through the characteristic vector normalization module; finally, the normalized characteristic vector is recognized by a neural network module. The invention has the advantages that the system and the implementation method adopt the mixed matching method based on color and shape to avoid the gray-scale based matching and the multiple repeated matching acknowledgements with large computational ...

Discrete point cloud feature extracting method based on wavelet transform

The present invention provides a feature extracting method of the discrete point cloud based on small wave transform. Firstly, a small wave model which can separate data into a feature sub-value and a small wave sub-value is created according to the set small wave base and the corresponding filter. Secondly, the discrete point cloud is sampled equidistantly according to the preset sampling distance and the sampling points are put in order. Consequently, the sampling points put in order are used as the initial values of the small wave model to separate the discrete point cloud into the feature sub-value and the small wave sub-value. Finally, whether the feature sub-value meets the preset term is estimated, when not, the small wave model keeps on separating the feature sub-value. Thus the feature of the discrete point cloud can be extracted effectively, the noise data in the discrete point cloud can be removed, and the processing that the subsequent image processing system conducts on the ...

System for reconstructing three-dimensional based on main direction characteristic discrimination and implementing method thereof

The invention provides a three-dimensional view reconstruction system based on principal direction feature recognition, and an implement method thereof. Firstly, the information of vertexes and vectors contained in a three-dimensional view is subjected to formatting treatment, so as to construct a vector ring; then, through determining the principal direction, the sketch plane and the stretching distance are searched in other views by taking the loop in the view where the principal direction is located as the feature contour, thereby obtaining the features; and finally, the Boolean relation among the features is obtained through the relation among the loops, thereby reconstructing a three-dimensional solid. The invention does not search all loops in the view, and deletes the redundant loops in time after finding the features, thereby reducing the times of the repeated match and effectively improving the reconstruction efficiency.

Product gene modelling approach based on behavior semantic network identity model

The invention provides a product gene modeling method based on a behavior semantic-network knowledge model, which comprises the following steps: (1) a behavior semantic model of the product is built; (2) a mapping rule between the behavior semantic model of the product and a behavior semantic predicate is built; (3) a frame description proposal of the functional character and the geometrical characteristic of the product according to the mapping rule between behavior semantic model and the behavior semantic predicate; (4) the frame description proposal described in the step (3) is transformed into a corresponding gene code by applying the evolutionary design and the gene code technology, and a functional gene model of the product is built. Based on the code manner, the built functional model establishes a good basis for the evolutionary design and the automated innovation of the product, and fully prepares for further researches in the future.

Image one-way point-to-point matching method based on minimum deformation energy

The invention relates to an image uni-directional pointwise matching method based on minimum deformation energy. First, the feature point of each profile of an image to be matched is marked in sequence; second, between a template image and the image to be matched, the one having more profile feature points is chosen to be a reference image and the one with less profile points is set to be a imageto be aligned, and mutually corresponding start points are set in the two images; third, the minimum deformation energy is taken as a basis for determination to find all profile feature points corresponding to all profile feature points of the reference image in the image to be aligned, wherein, if the (n)th profile feature point in the reference image corresponds to the (n-1)th in the image to be aligned, then when the deformation energy of the (n+1)th profile feature point in the reference image is calculated, only the (n-1)th and the (n)th profile feature points in the image to be aligned are ...

System and method for converting disordered point cloud to triangular net based on adaptive flatness

This invention relates to a system and a method for converting non-sequence spot-clouds into triangle griddings based on adaptive flatness, which carries out triangle analysis to spot-clouds in space directly by a non-sequence spot-cloud increment rebuilding algorithm based on adaptive flatness to structure a partial gridding ring from the initial central point based on the partial flat character of a curvature face and a Delaunary analysis rule of triangles and takes points on said gridding ring as the central point according to the generation sequence to structure the partial ring repeatedly to circulate in linearity and spread it to the entire spot set and get a topological structure finally so as to increase conversion velocity and reduce conversion time.

Wavelet transformation processing method of discrete point cloud data

The invention relates to a multi-dimensional wavelet transformation processing method, which develops the wavelet transformation from time domain to spatial vector by adopting the multi-dimensional data in a self-variable and function type, changes the multi-dimensional data into the relationship of self-variable and function, samples the data and decomposes the wavelets, thus decomposing the data to different sub-bands. After the data is decomposed by the wavelet, the decomposed coefficient covers the original point data, the data memory quantity is not reduced, but the characteristics after decomposition under different sizes are distributed on different frequency sub-bands, thus facilitating further processing.

System and method for converting disordered point cloud to triangular net based on adaptive flatness

System and method for describing function model by applying specific gene coding

The invention relates to a system and method adopting characteristic gene codes to describe a product function model. A product characteristic expression model is obtained by profound research to the product characteristic gene paradigm expression, characteristic integration requirement and characteristic coordinate transformation algorithm; a product function model is obtained by the research and analysis to the product function definition, function expression and function model establishment. The product function is further decomposed and mapped into characteristics on the basis of the product characteristic expression model and function model so as to finally describe the product function by the product characteristic gene codes and lay a foundation for the product intelligent design.

Products intelligent design system

A product intelligence designing system has a theory base and a reflection base, and also includes a physical theory searching module, which is searched out from the theory base to realize the physical theory with the corresponding function; a function decomposition module, which can decompose the corresponding function into a plurality of sub-functions to perform the corresponding searching when the physical theory for realizing the corresponding function is not searched out; a characteristic searching module, which is used for searching out a plurality of relative characteristics reflected with each function according to each relative physical theory searched out from the reflection base; a characteristic function choosing module, which is used for the weight that has the influential factors for each function respectively according to each searched out function, and a plurality of relative characteristics is combined with the adaptability of each function influential factors respectively ...

Method for describing function model by applying specific gene coding

The invention relates to a system and method adopting characteristic gene codes to describe a product function model. A product characteristic expression model is obtained by profound research to the product characteristic gene paradigm expression, characteristic integration requirement and characteristic coordinate transformation algorithm; a product function model is obtained by the research and analysis to the product function definition, function expression and function model establishment. The product function is further decomposed and mapped into characteristics on the basis of the product characteristic expression model and function model so as to finally describe the product function by the product characteristic gene codes and lay a foundation for the product intelligent design.

Pattern matching recognition system and implementing method thereof

The invention provides a shape matching identification system and the implementation method thereof, aiming at the problems in the prior art after the color and shape identifications are researched. Firstly, a digital camera is adopted to shoot the object adhered with an artificial label for the three-dimensional reconstruction and form the picture of the object; then the shape characteristic and the color characteristic of the picture are extracted through the characteristic extraction module; the shape characteristic and the color characteristic are written into a characteristic vector and normalized through the characteristic vector normalization module; finally, the normalized characteristic vector is recognized by a neural network module. The invention has the advantages that the system and the implementation method adopt the mixed matching method based on color and shape to avoid the gray-scale based matching and the multiple repeated matching acknowledgements with large computational ...

Modeling method based on behavior flow function and behavior coupling relation

The invention provides a modeling method based on a behavior flow function and a behavior coupling relation. Behavior flow product modeling is achieved by means of coupling between a function and a behavior, and accordingly a behavior node sequence of modeling is formed. To achieve innovation of product modeling and design automation, the basic concept of behavior flow is put forward, solving is achieved by means of the coupling relation of the function and the behavior of the concept, product modeling is achieved in the solving process, and results of product modeling are selected by means of a genetic algorithm so as to obtain the optimal solution. As is shown by instance creation of an engine model, the method can achieve automation design and innovation of a product concept model.

Image one-way point-to-point matching method based on minimum deformation energy

The invention relates to an image uni-directional pointwise matching method based on minimum deformation energy. First, the feature point of each profile of an image to be matched is marked in sequence; second, between a template image and the image to be matched, the one having more profile feature points is chosen to be a reference image and the one with less profile points is set to be a image to be aligned, and mutually corresponding start points are set in the two images; third, the minimum deformation energy is taken as a basis for determination to find all profile feature points corresponding to all profile feature points of the reference image in the image to be aligned, wherein, if the (n)th profile feature point in the reference image corresponds to the (n-1)th in the image to be aligned, then when the deformation energy of the (n+1)th profile feature point in the reference image is calculated, only the (n-1)th and the (n)th profile feature points in the image to be aligned are ...