Development and application of intelligent system modeling and simulation platform

2012 ◽  
Vol 29 ◽  
pp. 149-162 ◽  
Author(s):  
Ni Li ◽  
Wenqing Yi ◽  
Minghui Sun ◽  
Guanghong Gong
Keyword(s):  
Modeling And Simulation ◽  
Intelligent System ◽  
System Modeling ◽  
Simulation Platform

Metamodeling-Based Performance Analysis for Digital Power Plant

2018 ◽  
Author(s):  
Dengji Zhou ◽  
Tingting Wei ◽  
Shixi Ma ◽  
Huisheng Zhang ◽  
Di Huang ◽  
...  
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Modeling And Simulation ◽  
Resource Sharing ◽  
Information Exchange ◽  
Power Plants ◽  
System Modeling ◽  
Simulation Platform ◽  
Whole Life Cycle ◽  
The Relationship

Digital power plant is the theory and method to improve the operating quality of power plant by quantifying, analyzing, controlling and deciding the physical and working objects of power plants in the whole life cycle. Signals and management information of power plants will be digitized, so as to realize information exchange reliably and accurately and large-scale distributed resource sharing based on the network technology. Then optimization decisions and scientific guidance for plant operation will be proposed by intelligent expert system based on the digital resources. Therefore, the foundation of digital power plant is system modeling and performance analysis. However, there are some problems in the process of the modeling performance analysis of digital power plant. For instance, each unit of the system model has different dimensions and different type of mathematical description, and the data or information used for modeling are defined differently and belong to different enterprises, who do not want to share their information. Metamodeling is potential to solve these problems. It defines the specification to describe a unit and the relationship between different elements. Compared with traditional modeling methodologies for thermal systems, metamodeling makes the model more standardized, and the relationship of the model elements is more explicit and better understood by the co-simulation partners. In this paper, the collaborative modeling and simulation platform for digital power plant has been established based on the metamodeling method and the performance of the target plant has been analyzed from different aspects via field data. The metamodeling method consists of three parts: syntax definition, model development and algorithm definition. The result shows that the collaborate modeling and simulation platform can be used to reduce costs, decrease equipment failure rate, and improve plant output, so as to guarantee the safety and increase economics.

Study on Meta-Modeling Method for Performance Analysis of Digital Power Plant

2019 ◽  
Vol 142 (4) ◽  
Author(s):  
Dengji Zhou ◽  
Tingting Wei ◽  
Shixi Ma ◽  
Huisheng Zhang ◽  
Di Huang ◽  
...  
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Modeling And Simulation ◽  
Power Plants ◽  
System Modeling ◽  
Modeling Method ◽  
Simulation Platform ◽  
Meta Modeling ◽  
And Performance ◽  
Whole Life Cycle

Abstract Digital power plant is the theory and method to improve the operating quality of power plant by quantifying, analyzing, controlling, and deciding the physical and working objects of power plants in the whole life cycle. And the foundation of digital power plant is system modeling and performance analysis. However, there are some problems in the process of modeling establishment and performance analysis. For instance, each component has different dimensions and different types of mathematical description, and the data or information used for modeling are defined differently and belong to different enterprises, who do not want to share their information. Meta-modeling is a potential method to solve these problems. It defines the specification to describe different kinds of elements and the relationship between different elements. In this paper, the collaborative modeling and simulation platform for digital power plant has been established based on the meta-modeling method and the performance of the target power plant has been analyzed from different aspects via field data. The meta-modeling method consists of three parts: syntax definition, model development, and algorithm definition. In the comparative study between the meta-model and the traditional model, maximum average errors of the two methods are 8.72% and 4.74%, which reveals the high accuracy of the meta-modeling-based model. The result shows that the modeling and simulation platform for power plants can be used to reduce costs, decrease equipment failure rate, and improve plant output, so as to guarantee the safety and increase economics.

Study of System Modeling and Simulation Based on Mixed Domain for Analog-Digital Mixed SoC

2013 ◽  
Vol 423-426 ◽  
pp. 2688-2692
Author(s):  
Jun Deng ◽  
Liang Zhou ◽  
Xiao Zong Huang ◽  
Xu Huang ◽  
Yu Jing Li ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Simulation Platform ◽  
Behavioral Models ◽  
Behavioral Simulation ◽  
Design Reliability ◽  
Simulation Based ◽  
Design Cycle ◽  
Ip Module

The design of digital-analog mixed SoC involves RF/analog and digital domains, how to effectively improve the design reliability and to reduce the development cycles has become a research hotspot. This paper establishes the appropriate behavioral models of RF / analog / digital IP modules, and carries out the behavioral simulation based on the built mixed-domain simulation platform and the behavioral libraries of RF/analog/digital IP module, which enhances the reliability and stability of mixed SoC design, and reduces the design cycle. Those explorations may be helpful to the designers of digital-analog mixed SoC.

IMPLEMENTASI PENENTUAN ARSITEKTUR MASJID MODERN DI ACEH MENGGUNAKAN PEMODELAN SISTEM CERDAS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Masthura Hasan ◽  
T Iqbal Faridiansyah
Keyword(s):  
Fuzzy Inference System ◽  
Architectural Design ◽  
Fuzzy Inference ◽  
Intelligent System ◽  
Selection Process ◽  
System Modeling ◽  
Inference System ◽  
Normal Limits ◽  
Roof Structure ◽  
Selection Of

Mosque architectural design is based on Islamic culture as an approach to objects and products from the Islamic community by looking at their suitability and values and basic principles of Islam that explore more creative and innovative ideas. The purpose of this system is to help the team and the community in seeing the best mosque in the top order so that the system can be used as a reference for the team and the community. The variables used in the selection of modern mosques include facilities and infrastructure, building structure, roof structure, mosque area, level of security and facilities. The system model used is a fuzzy promethee model that is used for the modern mosque selection process. Fuzzy inference assessment is used to determine the value of each variable so that the value remains at normal limits. Fuzzy values will then be included in promethee assessment aspects. The highest promethee ranking results will be made a priority for the best mosque ranking. This fuzzy inference system and promethee system can help the management team and the community in determining the selection of modern mosques in aceh in accordance with modern mosque architecture. Intelligent System Modeling System In Determining Modern Mosque Architecture in the City of Aceh, this building will be web based so that all elements of society can see the best mosque in Aceh by being assessed by all elements of modern mosque architecture.Keywords: Fuzzy inference system, Promethe, Option of  Masjid

Matrix environments for continuous system modeling and simulation

SIMULATION ◽  
1989 ◽  
Vol 52 (4) ◽  
pp. 141-149 ◽  
Author(s):  
François E. Cellier ◽  
C. Magnus Rimvall
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Continuous System

scholarly journals Dynamic Data Driven Methodologies for Multiphysics System Modeling and Simulation

2005 ◽  
pp. 616-623 ◽  
Author(s):  
J. Michopoulos ◽  
C. Farhat ◽  
E. Houstis ◽  
P. Tsompanopoulou ◽  
H. Zhang ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Data Driven ◽  
Dynamic Data

scholarly journals CICT: New Eyes on Computational Competence in Computational Science

2018 ◽  
Vol 16 ◽  
pp. 01007
Author(s):  
Rodolfo A. Fiorini
Keyword(s):  
Modeling And Simulation ◽  
Formal Language ◽  
Traditional Approach ◽  
System Modeling ◽  
Computational Modelling ◽  
Computational Science ◽  
Open Logic ◽  
Information Conservation ◽  
Biomedical System ◽  
New Perspective

Science does not exists to enlighten people's minds only. It mainly exists to show the educated way from quanta to qualia. And that way starts from computational competence. In previous papers published elsewhere, we have already shown that traditional Q Arithmetic can be regarded as a highly sophisticated open logic, powerful and flexible bidirectional formal language of languages, according to "Computational Information Conservation Theory" (CICT) new perspective. This new awareness can offer competitive approach to guide more effective and convenient algorithm development and application to arbitrary multiscale (AMS) biomedical system modeling and simulation. An articulated example on function computational modelling is presented and compared to standard, well-known and traditional approach. Results are critically discussed.

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