Study on the Application of Virtual Prototyping Technology to UAV Fault Diagnosis Training

2013 ◽  
Vol 347-350 ◽  
pp. 396-400
Author(s):  
Yong Kang Jiao ◽  
Xiao Min Li
Keyword(s):  
Fault Diagnosis ◽  
Design Thinking ◽  
Virtual Prototyping ◽  
Third Party ◽  
Appearance Model ◽  
Mechanism Model ◽  
Modeling Software ◽  
Virtual Prototyping Technology ◽  
Performance Capability ◽  
And Training

In accordance with the characteristic that UAV equipment is hard to realize the real fault diagnosis training, a design scheme of fault diagnosis training based on virtual prototyping is presented. The training-oriented virtual prototyping model is decomposed into two parts, appearance model and mechanism model. The design thinking and training flow of fault diagnosis training are given, and two different kinds of training modes are used to make the training much more targeted. In the end, Virtools and third-party modeling software are adopted to build the virtual environment, the verification of UAV ground control station achieves the purpose of enhancing the performance capability of maintenance man.

Research on Integrated System of Information and Function Based on Virtual Prototyping Technology

2008 ◽  
Vol 392-394 ◽  
pp. 884-890 ◽  
Author(s):  
Bingbing Yan ◽  
Fu Jun Ren ◽  
Y.C. Jiang
Keyword(s):  
Design Thinking ◽  
Virtual Prototyping ◽  
Virtual Prototype ◽  
Heterogeneous Data ◽  
Integrated System ◽  
Product Development Process ◽  
Complex Product ◽  
Component Object ◽  
Virtual Prototyping Technology ◽  
And Function

Virtual prototyping technology as a key technology for agile manufacturing can deal with multidisciplinary knowledge across different fields. In the complex product development process, the exchange between heterogeneous data in heterogeneous environment is a universal problem encountered, which increases the complexity of collaborative parallel design of virtual prototype. Taking the product models as carriers and the different function requirements as clues, the knowledge structure and expression of product information in various fields was studied. By adopting component object model technology, direct geometry access technology, behavioural modeling technology and parametric design thinking, the interaction among tools in various function units was realized, and the effective integration of information and function in multi-fields was accomplished, the parameter-driven virtual prototype architecture of complex product based on the integration of information and function was created. The feasibility of this architecture has been verified by the actual engineering. This plan provides an effective way to carry out virtual prototype projects for enterprise.

Study on Dynamic Performance of Tower Crane Based on ADAMS Multi-Flexible-Body

2012 ◽  
Vol 479-481 ◽  
pp. 1504-1509
Author(s):  
Chun Hua Zhao ◽  
Shi Jun Chen ◽  
Jin Zhang ◽  
Xian You Zhong ◽  
Nu Yan
Keyword(s):  
Fault Diagnosis ◽  
Natural Environment ◽  
Dynamic Performance ◽  
Virtual Prototyping ◽  
Virtual Prototype ◽  
System Level ◽  
Flexible Body ◽  
Tower Crane ◽  
Body Model ◽  
Virtual Prototyping Technology

When working, tower crane is affected by natural environment and is subjected to complex various loads. So it is not very easy to analyze its dynamic performance at system level. Some researchers have done some work as to simulation and analysis of tower crane, in order to study its dynamic performance. While much of their work based on grid body model but not flexible body model. This paper used SolidWorks and ADAMS to build the virtual prototype of a tower crane based on ADAMS flexible body. After the co-simulation, which joined ADAMS with SolidWorks, force of the connection between tower crane base and the strengthened section of the crane was recorded and analyzed. And so was the acceleration of the tower crane’s lifting rig. Succeeding in the application of Virtual Prototyping Technology based on ADAMS flexible body, this study can be used to direct the work, operation and fault diagnosis of tower crane, and lay a basis for further studies.

Learning When Agents Can Talk to Drivers Using the INAGT Dataset and Multisensor Fusion

2021 ◽  
Vol 5 (3) ◽  
pp. 1-28
Author(s):  
Tong Wu ◽  
Nikolas Martelaro ◽  
Simon Stent ◽  
Jorge Ortiz ◽  
Wendy Ju
Keyword(s):  
Sensor Fusion ◽  
Deep Neural Network ◽  
False Positives ◽  
Driver Distraction ◽  
Third Party ◽  
Good Time ◽  
Visual Data ◽  
Perceived Safety ◽  
To Receive ◽  
And Training

This paper examines sensor fusion techniques for modeling opportunities for proactive speech-based in-car interfaces. We leverage the Is Now a Good Time (INAGT) dataset, which consists of automotive, physiological, and visual data collected from drivers who self-annotated responses to the question "Is now a good time?," indicating the opportunity to receive non-driving information during a 50-minute drive. We augment this original driver-annotated data with third-party annotations of perceived safety, in order to explore potential driver overconfidence. We show that fusing automotive, physiological, and visual data allows us to predict driver labels of availability, achieving an 0.874 F1-score by extracting statistically relevant features and training with our proposed deep neural network, PazNet. Using the same data and network, we achieve an 0.891 F1-score for predicting third-party labeled safe moments. We train these models to avoid false positives---determinations that it is a good time to interrupt when it is not---since false positives may cause driver distraction or service deactivation by the driver. Our analyses show that conservative models still leave many moments for interaction and show that most inopportune moments are short. This work lays a foundation for using sensor fusion models to predict when proactive speech systems should engage with drivers.

Comparison of Energy-Saving Driving Style Strategies

2016 ◽  
Author(s):  
Yigit Fidansoy ◽  
Sohejl Wanjani ◽  
Sebastian Schmidt
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Fossil Fuels ◽  
Design Thinking ◽  
Energy Savings ◽  
Driving Style ◽  
Advisory Systems ◽  
Train Dynamics ◽  
Input Variables ◽  
And Training

Due to the increasing scarcity of fossil fuels and the climate change, the importance of energy efficiency is increasing. This importance is major especially in areas where the energy consumption is high. Rail transport depicts such an area. The highest proportion of energy consumed in the railway is the so called traction energy. This energy is required for the train run. In the timetable, allowances leave a margin for the driving style of train run. By the selective use of strategies that change the driving style, it is possible to exploit these allowances and reduce the traction energy consumption. The first objective of this study deals with the development of algorithms for energy-saving driving style. First, the necessary input variables of the algorithms based on the literature research and the formulas of train dynamics were determined. Then the algorithms were developed to create different energy-saving driving styles, resulting choose the best result which should be shown as a driving recommendation. The developed algorithms were used in an application example in order to calculate the potential of energy-savings. The example should represent the influence of the input variables for a comparison of different situations. At last the acceptance of the determined driving strategies in practice was investigated. By implementing the design thinking method it was identified that driver advisory systems and training programs are necessary to facilitate energy-saving driving in practice.

scholarly journals Computational Simulation as an Organizational Prototyping Tool

2019 ◽  
Vol 1 (1) ◽  
pp. 1105-1114 ◽  
Author(s):  
Clio Dosi ◽  
Manuel Iori ◽  
Arthur Kramer ◽  
Matteo Vignoli
Keyword(s):  
Organizational Context ◽  
Design Thinking ◽  
Design Method ◽  
Virtual Prototyping ◽  
Computational Simulation ◽  
Risk Environment ◽  
Event Simulation ◽  
Thinking Process ◽  
Alternative Solutions

AbstractThis case study deals with a redesign effort to face the overcrowding issue in an Emergency Department (ED). A multidiscinary group of healthcare professionals and engineers worked together to improve the actual processes. We integrate the simulation modeling in a human-centered design method. We use the simulation technique as a learning and experimentation tool into a design thinking process: the computational descrete event simulation helps explore the possibile scenarios to be prototyped. We used the simulation to create a virtual prototyping environment, to help the group start a safe ideation and prototyping effort. Virtual prototyping injected into the organizational context the possibility of experimenting. It represented a cognitive low-risk environment where professionals could explore possible alternative solutions. Upon those solutions, we developed organizational prototyping tools. Top management and head physicians gained confidence for a more grounded decision making effort and important choices of change management and investments have been made.

Sign in / Sign up

Export Citation Format

Share Document