Research on Hierarchical Modeling of Simulation Model of Cloud Simulation Platform

2014 ◽  
Author(s):  
Dongfang Zhu ◽  
Pengyuan Liu ◽  
Qunxing Su
Keyword(s):  
Simulation Model ◽  
Hierarchical Modeling ◽  
Simulation Platform

Simulation Modeling of the Operating Room Based on SIMIO

2010 ◽  
Vol 37-38 ◽  
pp. 1162-1166 ◽  
Author(s):  
Qian Zheng ◽  
Sai Feng Chen ◽  
Jie Shen ◽  
Ze Qing Liu ◽  
Kai Fang ◽  
...  
Keyword(s):  
Simulation Model ◽  
Operating Room ◽  
Simulation Modeling ◽  
Operating Rooms ◽  
Simulation Platform ◽  
Rational Utilization ◽  
Model Case ◽  
Satisfactory Degree

Operating rooms (OR) is one of the most demanding department in hospital. OR’s process will directly influence the profits of hospital as well as the patients' satisfactory degree. On the condition of a complex cooperation of ORs with variations, simulation has its advantage on solving problems. From the perspective point of rational utilization of resources, the simulation modeling of OR in big hospital by a latest simulation platform – SIMIO is proposed. The modeling objects and the logic underline are studied, and a simulation model case is presented.

scholarly journals Simulation of Scalability in Cloud-Based IoT Reactive Systems Leveraged on a WSAN Simulator and Cloud Computing Technologies

2021 ◽  
Vol 11 (4) ◽  
pp. 1804
Author(s):  
Luis Jurado Pérez ◽  
Joaquín Salvachúa
Keyword(s):  
Cloud Computing ◽  
Modeling And Simulation ◽  
Simulation Model ◽  
Smart City ◽  
Hierarchical Modeling ◽  
Queuing System ◽  
Use Case ◽  
Sensors And Actuators ◽  
Iot Applications ◽  
Rapid Deployment

Implementing a wireless sensor and actuator network (WSAN) in Internet of Things (IoT) applications is a complex task. The need to establish the number of nodes, sensors, and actuators, and their location and characteristics, requires a tool that allows the preliminary determination of this information. Additionally, in IoT scenarios where a large number of sensors and actuators are present, such as in a smart city, it is necessary to analyze the scalability of these systems. Modeling and simulation can help to conduct an early study and reduce development and deployment times in environments such as a smart city. The design-time verification of the system through a network simulation tool is useful for the most complex and expensive part of the system formed by a WSAN. However, the use of real components for other parts of the IoT system is feasible by using cloud computing infrastructure. Although there are cloud computing simulators, the cloud layer is poorly developed for the requirements of IoT applications. Technologies around cloud computing can be used for the rapid deployment of some parts of the IoT application and software services using containers. With this framework, it is possible to accelerate the development of the real system, facilitate the rapid deployment of a prototype, and provide more realistic simulations. This article proposes an approach for the modeling and simulation of IoT systems and services in a smart city leveraged in a WSAN simulator and technologies of cloud computing. Our approach was verified through experiments with two use cases. (1) A model of sensor and actuator networks as an integral part of an IoT application to monitor and control parks in a city. Through this use case, we analyze the scalability of a system whose sensors constantly emit data. (2) A model for cloud-based IoT reactive parking lot systems for a city. Through our approach, we have created an IoT parking system simulation model. The model contains an M/M/c/N queuing system to simulate service requests from users. In this use case, the model replication through hierarchical modeling and scalability of a distributed parking reservation service were evaluated. This last use case showed how the simulation model could provide information to size the system through probability distribution variables related to the queuing system. The experimental results show that the use of simulation techniques for this type of application makes it possible to analyze scalability in a more realistic way.

Research of Fast Modeling and Simulating Platform for Nuclear Power Plant Secondary Loop

2018 ◽  
Author(s):  
Meijie Gong ◽  
Minjun Peng ◽  
Haishan Zhu
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Simulation Model ◽  
Nuclear Power ◽  
Device Simulation ◽  
Loop System ◽  
Design Parameters ◽  
Simulation Platform ◽  
Characteristic Analysis ◽  
Secondary Loop

Secondary loop system is an essential part in nuclear power plant (NPP). The traditional methods for the secondary loop cannot reveal the universality for the most of the NPPs. When there is the need to build another NPP secondary loop simulation program or project, the simulation model always need to modify or adapt to the new design parameters and operation parameters. In this work a fast modeling simulation platform for secondary loop in NPP is developed. In this simulation platform there is the modular, parametric simulation model in the device library and graphical human-computer interaction. There is the modeling procedure for the NPP secondary loop system simulating and modeling. In the device library there are different simulation models of secondary loop system. The secondary loop simulation model can be made up by the device simulation model with reasonable data interface. Each device simulation model could represent the practical device steady and dynamic performance with accurate calculation. The simulation results calculated in the simulation platform can represent the accuracy steady calculation and reasonable dynamic tendency of main parameters for the secondary loop system built. From the simulation platform the NPP secondary loop system simulation model can be built conveniently and fast. In the simulation platform there is the appropriate data input form and output form. The simulation platform can be used in the different purposes of simulation for NPP secondary loop as training, evaluating, operation and characteristic analysis.

Hardware-in-the-Loop Simulation Research on Driving System of Hybrid Electric Motorcycle

2013 ◽  
Vol 275-277 ◽  
pp. 2445-2450
Author(s):  
Ping Xiao ◽  
Li Tian ◽  
Hong Gao
Keyword(s):  
Control Theory ◽  
Simulation Model ◽  
Pid Control ◽  
Control Algorithm ◽  
Simulation Platform ◽  
Hardware In The Loop ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Driving System ◽  
Hybrid Electric

Abstract. At present, many experts are dedicated to applying new control theory in driving system of hybrid electric motorcycles, but the verification of new control theory in real hybrid electric motorcycles faces many difficulties. Therefore, a hardware-in-the-loop simulation platform of hybrid electric motorcycle’s driving system was designed. At first, mathematic model and simulation model of driving motor were designed. Thereafter, the hardware-in-the-loop simulation platform was designed by taking dSPACE as the carrier of simulation model. In view of multiple values and high nonlinearity of driving system in hybrid electric motorcycles, Bang-Bang Fuzzy PID control algorithm was designed. Furthermore, simulation experiments with different control algorithms were carried out through the hardware-in-the-loop simulation platform designed in this paper. Simulation results indicated that the hardware-in-the-loop simulation platform could work effectively and the control effect of Bang-Bang Fuzzy PID control algorithm was good.

Simulation of Motion of an Ensemble of Unmanned Ground Vehicles Using FLAME GPU

2021 ◽  
Vol 27 (7) ◽  
pp. 369-379
Author(s):  
A. S. Akopov ◽  
◽  
L. A. Beklaryan ◽  
A. L. Beklaryan ◽  
F. A. Belousov ◽  
...  
Keyword(s):  
Simulation Model ◽  
Traffic Congestion ◽  
Road Network ◽  
Spatial Dynamics ◽  
Unmanned Ground Vehicles ◽  
Simulation Platform ◽  
Ground Vehicles ◽  
Agent Based Simulation ◽  
New Approach ◽  
Agent Based

A new approach to modeling the spatial dynamics of unmanned ground vehicles (UV) and conventional vehicles (CV) using the FLAME GPU supercomputer agent-based simulation platform is presented. A new simulation model of an artificial road network (ARN) of the "Manhattan Grid" type is proposed, within the framework of which the spatial dynamics of the UV and CV ensemble is studied under various scenario conditions. The effects of "turbulence" and "crush" (traffic congestion) resulting from intensive and dense traffic of vehicles are investigated.

A Study on Optimization Technology of Visual Simulation Model Based on Creator

2014 ◽  
Vol 556-562 ◽  
pp. 3633-3636
Author(s):  
Hua Feng Lei ◽  
Ning Shan ◽  
Hao Wang
Keyword(s):  
Simulation Model ◽  
Real Time ◽  
3D Model ◽  
Optimization Techniques ◽  
Visual Simulation ◽  
Simulation Platform ◽  
Vehicle Model ◽  
Model Based ◽  
Armored Vehicle ◽  
Optimizing Model

Establishing 3d model is basis for visual simulation, it has a great effect on real-time and authenticity in process of rendering and taking on Vega visual simulation platform. Therefore, reasonably optimizing model is very important for solving the contradiction between real-time and authenticity and realizing effects of establishing authentic and fast establishing in visual simulation. This paper will analyze how to use modeling optimization techniques to optimize armored vehicle model based on Creator, so as to make it better to meet immersive and interactive requirements in visual simulation for human, vehicle and driving environment, and perfectly present real-time and authenticity effect for armored vehicle in visual simulation.

Novel simulation model for many-body multipole dispersion interactions

1998 ◽  
Vol 94 (3) ◽  
pp. 417-433 ◽  
Author(s):  
MARTIN VAN DER HOEF ◽  
PAUL MADDEN
Keyword(s):  
Simulation Model ◽  
Dispersion Interactions ◽  
Many Body
Sign in / Sign up

Export Citation Format

Share Document