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498 results about "Virtual test" patented technology

Virtual testing is a process in which your product is tested on various characteristics, such as drop resistance, failure behaviour or deformations.

Methods and systems for redesigning pre-existing concrete mix designs and manufacturing plants and design-optimizing and manufacturing concrete

Design optimization methods can be used to design concrete mixtures having optimized properties, including desired strength and slump at minimal cost. The design optimization methods use a computer-implemented process that is able to design and virtually “test” millions of hypothetical concrete compositions using mathematical algorithms that interrelate a number of variables that affect strength, slump, cost and other desired features. The design optimization procedure utilizes a constant K (or K factor) within Feret's strength equation that varies (e.g., logarithmically) with concrete strength for any given set of raw material inputs and processing equipment. That means that the binding efficiency or effectiveness of hydraulic cement increases with increasing concentration so long as the concrete remains optimized. The knowledge of how the K factor varies with binding efficiency and strength is a powerful tool that can be applied in multiple circumstances. A concrete manufacturing process may include accurately measuring the raw materials to minimize variation between predicted and actual strength, as well as carefully controlling water content throughout the manufacturing and delivery process.
Owner:ICRETE LLC

Software failure positioning method based on machine learning algorithm

The invention discloses a software failure positioning method based on machine learning algorithm to solve the technical problem of low positioning efficiency of existing software failure positioning methods. According to the technical scheme, the method comprises the steps of describing failure distribution possibly existing in an actual program based on Gaussian mixture distribution to enable failure distribution in the program to be more definite; removing redundant test samples with a cluster analysis method based on a Gaussian mixture model, and finding a special test set for a specific failure, so that the adverse effect of redundant use cases on positioning precision is reduced; remodifying a support vector machine model to be adapted to an unbalanced data sample, and finding the nonlinear mapping relation between use case coverage information and an execution result by means of the parallel debugging theory, so that machine learning algorithm is free from the local optimal solution problem caused by uneven samples; finally, designing a virtual test suite, placing the virtual test suite in a well trained model for prediction, obtaining a statement equivocation value ranking result, and conducting failure positioning. In this way, software failure positioning efficiency is improved.
Owner:北京京航计算通讯研究所

Power system three-dimensional device scene modeling method

The invention provides a power system three-dimensional device scene modeling method which comprises the following steps: establishing all sorts of three-dimensional device assembly models in the three-dimensional scene by adopting the virtual technology; uploading the three-dimensional device assembly models into a three-dimensional assembly library through a client side; accessing to a server side through the client side, and acquiring the three-dimensional device assembly models needed by the three-dimensional scene modeling from the three-dimensional assembly library; building a three-dimensional device scene model by adopting the three-dimensional device assembly models; guiding the built three-dimensional device scene model into a power system simulating system, and carrying out simulating training and visual display or virtual test. Because the modeling process comprises the assembly modeling stage and the scene assembling stage, the scene modeling difficulty is reduced, the scene modeling efficiency is improved, the models have high reusability, particularly the team can carry out modeling cooperatively, the position of the device assembly is accurate in the virtual scene, the later maintenance workload is low, and the later maintenance process is simple and not difficult.
Owner:GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD

Transmission system load signal testing, analyzing and processing method of wheel-type loader

The invention discloses a transmission system load signal testing, analyzing and processing method of a wheel-type loader; the transmission system load signal testing of the wheel-type loader is completed by a transmission system load signal testing module; a signal acquisition device and a recorder which are mutually connected form the transmission system load signal testing module; load signal analysis and processing are completed by a load signal analyzing and processing module, and the load signal analyzing and processing module analyzes and processes the load signal recorded by the recorder; the method solves the problems of transmission system load on-line actual measurement and load testing signal processing of the wheel-type loader, reduces the interference of pseudo-signals with load spectrum generation as possible, realizes the truth of the transmission system load spectrum, uses the transmission system load spectrum in the virtual test of the power performance optimization design of the wheel-type loader so that the precision is close to the real working environment of the loader, greatly shortens the performance testing time of the wheel-type loader, and improves the optimization design precision.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY

Asphalt mixture virtual performance test prediction method based on mesoscale simulation

The invention discloses an asphalt mixture virtual performance test prediction method based on mesoscale simulation. The method comprises the steps of designing an initial mix proportion of an asphalt mixture, acquiring basic parameters of a material, carrying out a DSR test of asphalt mortar, carrying out a virtual creep test on the asphalt mortar, converting parameters in a virtual system, choosing multiple indoor tests needing to be predicted, constructing various three-dimension virtual test pieces, choosing a mechanic constitutive model of the material, choosing a loading condition of the virtual test, constructing a real-time monitoring system for test results, outputting final result prediction values of all the tests, comparing all indexes with standards to judge whether requirements are met, outputting suggesting to reselect a mix proportion if the requirements are not met, and outputting an optimal mix proportion if the requirements are met. According to the method, additional curves of the test results are monitored in real time, the obtained output results are compared to judge whether multiple performance indexes of the mixture to be predicted meet the standard requirements, unnecessary relative-property indoor tests are reduced, and test basis is provided for optimal design of the mix proportion of the asphalt mixture.
Owner:SOUTHEAST UNIV

Test method of L3-level autopilot system of vehicle-in-loop based on virtual driving scene

The invention relates to a test method of an L3-level autopilot system of vehicle-in-loop based on a virtual driving scene. The method comprises the following steps of observing a kinematic state of avehicle, wherein the kinematic state comprises a position and a course angle, and is used for updating a vehicle pose in the virtual scene; establishing a sensory system model, wherein the sensory system model comprises four perception equipment models of vision, a millimeter wave radar, a laser radar and an ultrasonic radar; injecting virtual test scene libraries, and predefining three types oftest scene libraries including system driving scene working conditions, emergency working conditions and human-computer interaction working conditions according to an application scene of the L3-levelautopilot system; rendering in the virtual scene according to a pilot position parameter to generate a scene visualization visual angle; and recording and evaluating test data, including algorithm performance quantitative evaluation indexes and system evaluation indexes, and finally outputting comprehensive summary evaluation indexes of the L3-level autopilot system. Through the test method disclosed by the invention, the typical application scene of the L3-level autopilot system can be tested and evaluated in a limited experimental site.
Owner:ZHEJIANG LEAPMOTOR TECH CO LTD

Intelligent automobile virtual quick testing method

The invention relates to a quick virtual testing method of an intelligent automobile. The method includes that a virtual testing environment is provided by integrating an intelligent automobile environment sensing planning decision-making module and a traffic simulation module, the environment sensing planning decision-making module of the intelligent automobile can quickly generate sensor information of the intelligent automobile and environment information of trees and weather, and the traffic simulation module can quickly generate control measure information of common vehicles and roads around the intelligent automobile. Information interconnection between the intelligent automobile environment sensing planning decision-making module and the traffic simulation module can be realized by virtue of a Simulink module tool in Matlab so as to quickly generate a complete testing environment including information of the intelligent automobile, information of the common vehicles around the intelligent automobile, road control measure information and the environment information like the trees and the weather in the virtual testing environment. In the virtual environment, influence of running state features of the intelligent automobile in a traffic system and planning decision-making behaviors of the intelligent automobile on surrounding vehicles under different environment sensing equipment and different planning decision-making modules can be quickly tested.
Owner:TONGJI UNIV
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