91 results about "Product optimization" patented technology

The invention provides a vehicular radar array antenna. The vehicular radar array antenna comprises a radiation fin array and an impedance matching network arranged on the same plane, and the radiation fin array is configured in a bilateral symmetry manner by taking the impedance matching network as the center axis. According to the invention, a novel feed network is employed, based on the microstrip line impedance match and phase shift principle, relevant parameter demands of the antenna radiation array are achieved by means of a simple implementation form, and furthermore product optimization is achieved. The simulation of the vehicular anticollision radar array antenna and the debugging of the antenna sample are convenient and fast, by arranging the impedance matching network and the array antenna in the same plane, the whole radar antenna profile is reduced, and the duty ratio of the antenna feed part in the whole vehicular radar is effectively reduced. By employing the novel design concept and design method, a conventional feed power splitting network structure with a complicated back side is broken through, electromagnetic interference on other radio frequency devices is effectively reduced, and the vehicular radar array antenna has a deep business application value in the actual engineering.

The invention relates to a method for establishing a complex product optimization design agent model based on a small sample, belonging to the technical field of complex product optimization design. The method comprises the following steps: setting a goal of the complex product optimization design; generating an original design scheme sample set, the sample capacity of which is S, for the complex product optimization design; generating a virtual design scheme sample set for the complex product optimization design; combining the original design scheme sample set with the virtual design scheme sample set so as to form a mixed design scheme sample set; determining the sensitivities of the target of the complex product optimization design corresponding to various decision variables, and sorting the sensitivities; establishing a three-layer BP neural network model having different input variables by taking the target variable as the output variable; and training various neural network models by taking the mixed sample set as the training sample set; and selecting the neural network model having the optimal performance as the final complex product optimization design agent model. By means of the method, the sample generation workload is reduced; and the precision of the complex product optimization design agent model is ensured.

The invention discloses a data driving-based AB test method which comprises the following steps: an optimizing index consistent with a network platform is set, an iteration solution corresponding to the optimizing index is set, a module switch is built to control test variables in a the iteration solution, interaction data of a user is collected and is subjected to statistical analysis operation, and whether the iteration solution is good or not is determined according to a data analysis result. The beneficial effects of the data driving-based AB test method are that dependence over personal experience is eliminated via the data driving-based AB test method, feedback can be quickly obtained via data mining, and fast iterative optimization of products can be fulfilled; the method is suitable for Internet industry product optimization, advertising industry product optimization and product optimization in other industries that can be conducted via user feedback data collecting and analyzing operation.

An optical products optimization system for use with a public communication network includes an optimization center, a posting platform, and a calibration device. The optimization center has a database which contains a plurality of digital spectacle frame images of a plurality of spectacle frames for the user to select. The posting platform is communicatively linked to the database for the user posting a facial image thereof on the posting platform through the public communication network. The calibration device calibrates the frame scale with two pupil marks located at two pupils of the user on the facial image respectively to fittingly overlap the spectacle frame image selected by the user on the facial image for simulating a virtual appearance of the user wearing the respective spectacle frame.

The invention relates to a method for generating a practical multidisciplinary design optimization model automatically, which comprises the following steps of: first, establishing an integrated product optimization model according to design requirements; second, filling in a 'correlation' matrix D according to the inclusion relation between functions and optimization variables in the integrated product optimization model; third, filling in a 'coupling' matrix C according to the inclusion relation among functions in the integrated product optimization model; fourth, filling in a 'time' matrix T according to time taken for calculating functions in the integrated product optimization model; fifth, carrying out automatic task division by a genetic algorithm according to the matrixes to obtain one main task and a plurality of subtasks; sixth, generating an MDO (Multidisciplinary Design Optimization) model according to the task division scheme. The method supports the computer based automatic generation of the MDO model, avoids the excessive independence on experience of designers, can obtain the most reasonable MDO model, and has the characteristics of good simplicity and practicality, wide application and the like.

The invention discloses a method for building a virtual prototype of a multi-shaft heavy vehicle. An ADAMS serves as an application software platform, a Matlab serves as an application implementation tool, a cmd scripting language and an m language serve as development languages, four templates such as a parameterized and modularized model template, a parameter template, a functional module template and a model binding template and two application services such as parameter analysis and model binding are formed by development, and a kinetic model can be quickly built by file packaging and batch processing operation. The method for building the virtual prototype of the multi-shaft heavy vehicle has the advantages that the parameterization and the modularization of main functional modules of the multi-shaft heavy vehicle are realized; the kinetic model of the vehicle is built by using the templates and parameters as the core, the domination and the streamlining of tacit enterprise knowledge are realized, and the working efficiency and the repeatability of the working process are improved; the modeling efficiency is remarkably improved, and meanwhile, parameter-based product optimization and sensitivity analysis are supported.

The invention relates to a rapid development method for an aero-engine control system product. In the rapid research and development iterative technology method based on combination of digital model driving and an SLM additive manufacturing technology, by establishing an efficient forward research and development mode of additive manufacturing enabling, an design-simulation-manufacturing-verification-authentication integrated iterative process and a technical path are broken through, and optimal development and implementation of functions and performance of aero-engine control system productsare achieved. The development period and cost of the product are greatly reduced, efficient seamless transmission of a digital model of a complex product can be achieved through model driving, the product optimization design iteration efficiency is greatly improved, and the development period is shortened by one time or above; the design and implementation of the additive manufacturing enable canachieve the effect that the comprehensive weight of the product is reduced by more than 30%, and also solve the technical problem of last kilometer achieved by rapid trial production of a physical prototype of a complex product.

The invention discloses an SAR wave pattern directional ocean wave spectrum product optimization algorithm, which comprises the following steps: (1) a wind wave spectrum and a swell spectrum of the WVW directional ocean wave spectrum are separated; (2) a wind wave spectrum model is introduced; (3) spectrum segmentation and cross adjustment on the wind wave spectrum are carried out; and (4) the swell spectrum separated from the WVW directional ocean wave spectrum is effectively fused with a wind wave spectrum through Wen's spectrum adjustment to acquire a new directional ocean wave spectrum. The algorithm does not use a quasi-real time first guess spectrum which is hard to acquire but adopts an already-verified cross spectrum inversion result WVW product with a high inversion precision in the swell part, with the widely-applied wind wave spectrum (Wen's spectrum) model, the two are effectively fused, and a directional ocean wave spectrum with the swell information and the wind wave information is obtained.

The invention discloses a competitive product analysis method and system based on big data, a storage medium and electronic equipment. The method belongs to the technical field of big data and competitive product analysis. The technical problem to be solved by the invention is how to analyze and mine emotional trends of netizens on specified products and competitive products thereof by using big data to realize competitive product analysis. The adopted technical scheme is as follows: ;according to the method, relying on completely public social network platform comment data, the emotion trendsof netizens to specified products and related competitive products are mined from network comments by analyzing massive comments, and the attitude opinions of the netizens to the products are obtained by performing multiple analysis modes including emotion analysis on the comments, so that the purpose of competitive product analysis is achieved. The system comprises a product and related competitive product determination unit, a topic generation and comment acquisition and storage unit, a comment denoising and cleaning unit, a comment word segmentation and stop word removal unit, a comment emotion score acquisition and tagging unit and a comment analysis and product optimization and upgrading unit.

A product optimization and design method combined with extenics based on TRIZ comprises: A) analyzing product to find out the technical conflict or un-technical conflict which obstacles the product technical performance; B) if the conflict which obstacles the product technical performance is a technical conflict, using the TRIZ conflict matrix to obtain a preliminary scheme to solve the technical conflict; C) entering an extenics diverging tree process, using the diverging tree method to obtain a diverged schemes set (shown on right); D) entering the diverged schemes converging process, that is, performing extenics goodness estimation to the diverging schemes set obtained in the step C) by the goodness grading method to obtain a goodness sequence about the diverged schemes, selecting the scheme with the highest goodness value as the optimal preferred scheme, and entering into policy making and implementing step; B) if the conflict which obstacles the product technical performance is an un-technical conflict, entering the step C) directly, and finally entering the step D). The invention can be widely used in the development and design of various industrial products.

The invention relates to an aluminum alloy for manufacturing automobile security castings and a preparation method thereof. The aluminum alloy is characterized by consisting of 0.95 to 1.05 percent of Si, 0.55 to 0.6 percent of Mg, 0.42 to 0.52 percent of Mn, 0.02 to 0.05 percent of Sc, 0.08 to 0.20 percent of Cr, 0.03 to 0.05 percent of Ti, 0.005 to 0.01 percent of B and the balance of industrial pure aluminum. The preparation method comprises the following steps of: smelting, performing heat treatment, extruding at high temperature, performing online hydrocooling, introducing into a quenching device, heating sections, reducing temperature, discharging from a furnace and cooling. The aluminum alloy has the advantages that: the aluminum alloy has a product optimization formula, the tensile strength of 330-360MPa, the stipulated non-proportional extension strength of 280-310MPa and the elongation of above 12-14 percent, and ensures that products prepared from the aluminum alloy have good strength and impact toughness.

The invention discloses a storage battery charger, a mobile terminal for storage charge management, and a cloud platform based storage battery charge management system and method, and relates to the field of IoT application related to storage battery charge management. The system provided by the invention includes the storage battery charger, the mobile terminal for storage battery charge management and a cloud server. The storage battery charger is in communication with the mobile terminal and the cloud server via a WI-FI module and uploads storage state data and charge data to the cloud server and downloads control commands from the mobile terminal. By adopting the technical scheme provided by the invention, IoT management on the storage battery charger is realized, a mode of storage battery charge management is optimized and big data support and product optimization direction are provided for storage battery manufacturers.

A manufacturing method for evaluating and optimizing a decorative sheet on the basis of image structure similarity comprises the following steps that firstly, a special automatic modeling and simulating function battery combination is built in a Rhinoceros+Grasshopper simulation platform, a simulation three-dimensional model of the artistic punched decorative sheet is constructed, rendering is conducted, a simulation effect graph is obtained, and a simulation imaging image is extracted; secondly, the simulation imaging image and an original customized image are converted into gray images; thirdly, geometric transformation and brightness linear transformation are carried out; fourthly, image structure similarity is calculated; fifthly, a structure similarity graph is generated; sixthly, an optimization region is determined; seventhly, contrast enhancement and feature extraction are carried out; eighthly, the feature difference is calculated; ninthly, process information is replaced; tenthly, new machining process information is imported into numerical control machining equipment, and a numerical control punching process is carried out on the decorative sheet. According to the manufacturing method, quality prediction and design optimization of products are effectively achieved, the product optimization efficiency is improved, and the product quality is ensured.

The invention relates to a fuzzy test application effect comparison method. Multi-dimensional cooperative participation is adopted; a hash table structure and a statistical algorithm are applied; calculation is carried out according to dimensions of target equipment tests corresponding to different fuzzy test methods; finally, each fuzzy test method corresponds to the score of the test effect of the target equipment in all the methods participating in the fuzzy test. The test effect comparison of different fuzzy test methods is realized, objective, accurate and efficient fuzzy test method comparison effect display is realized, the design method is used for benchmarking test, test effects of different test products can be conveniently compared, and product optimization is realized.

The embodiment of the invention provides a method for calculating the emotional score and related equipment, which is used for solving the problem of collecting and summarizing the functional feedbackmanually collected by the user in the existing live broadcast platform, realizing automatic identification of the functional problem and giving the emotional bias score of each function, and facilitating the product optimization judgment. The method comprises the following steps: obtaining user feedback text of the live broadcast platform; Segmentation of the user feedback text according to a preset rule to obtain a segmentation set; Determining a functional word set according to the word segmentation word set; Matching each functional word in the functional word set with a functional word set in a vocabulary set corresponding to the live broadcast platform to determine a functional sentence set; Determining a target short sentence set according to the functional sentence set; Determiningan emotion score synthesis value of the target short sentence set; Determining an emotion score of the target function according to the emotion score composite value.

The invention provides an RV reducer parametrization design modeling method comprising a first step of establishing a parametrization data flow model and a second step of establishing a parametrization design system. The first step comprises the sub-steps of: performing module division and series division on a product structure; dividing parts into a first-stage speed reduction part, a second-stage speed reduction part and an output part according to the working principles of the product; dividing parameters into different levels according to structural characteristics, and analyzing various feature sizes to determine the drive size and the driven size, wherein the drive size is the design target size; then optimizing the design flow of the reducer and dividing the whole design flow into four stages, which are an initial parameter input stage, a product initial design stage, a product optimization design stage and a product detail design stage; finally realizing the delivery of input and output information of design feature parameters of each part through design and cooperation relationships. The parametrization design system comprises a parametrization design preprocessing module and a result postprocessing module.

The present disclosure identifies methods and compositions for modifying organisms, such that the organisms are optimized to produce or are enhanced to produce proteins or metabolites from cells. The present disclosure relates to methods of strain optimization to produce or enhance production of proteins or metabolites from cells. The present disclosure also relates to compositions resulting from those methods.

The invention discloses electronic equipment, a microwave product model design device and a computer readable medium. The electronic equipment comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor. When the processor executes the computer program, the following steps are realized: receiving a design index of a microwave product model uploaded by a user side; simulating the microwave product model to generate a simulation result; and if the simulation result does not accord with the design index, performing iterative adjustment on thedesign parameters of the microwave product model for N times based on a self-trained product optimization model, and updating the microwave product model until the microwave product model accordant with the design index is generated. Through the equipment, in the product development process, the microwave product model is updated through the self-trained product optimization model, the microwave product model meeting the design indexes is output and can be directly used for product development, and the product development period is greatly shortened.

The invention provides a touch key assembly and a method for producing the touch key assembly. The touch key assembly comprises a panel, a supporting plate, a sensor and a PCB, wherein the supporting plate is located behind the panel and is installed on the panel, the rear surface of the panel corresponds to the front surface of the supporting plate, the sensor is located behind the supporting plate and is installed on the supporting plate, the front surface of the sensor corresponds to the rear surface of the supporting plate, the PCB is located behind the sensor, and the PCB and the sensor are installed together. The touch key assembly is simple in structure and convenient to assemble, the manufacturing difficulty of the panel is converted into the manufacturing difficulty of the supporting plate and the sensor through the arrangement of the supporting plate, the manufacturing difficulty of the panel is effectively lowered, the manufacturing difficulty of the panel, the manufacturing difficulty of the supporting plate and the manufacturing difficulty of the sensor are all quite low, in this way, the purpose of reducing the production cost of the touch key assembly is achieved, and the design concept of product optimization of enterprises is better reflected.

A method is provided for manufacturing a multi-layer circuit board having embedded passive components. The method includes selectively removing portions of at least one layer of the multi-layer circuit board (300) to form a two dimensional array of test points (304) defining a grid extending across a surface of the multi-layer circuit board in those areas on which a circuit is to be formed. The method also includes measuring at each of the test points at least one electrical parameter which is useful for defining a characteristic of the multi-layer circuit board. The method further includes selectively modifying the geometry of at least one embedded passive component to be formed on the multi-layer circuit board based on an analysis of a result obtained in the measuring step.