Decision-support And Virtual Simulation Based On Reasearch Of Catastrophe Theory For Dealing With Unexpected Events In IB

This paper orients the problems of unexpected events for intelligent building and sets up mathematics models, through which analysises the characters of building unexpected events. A mechanism is proposed by this paper including three modules to deal with building unexpected events, which are intelligent building system integration, decision support and virtual reality. This paper provides a design method of the mechanism and a way to realize it.The main innovative works of this paper: (1) Catastrophe theory is proved to be the best way to describe intelligent building unexpected events, which gives a better understanding of building unexpected events through establishing a mathematical model. This work fills the blank of "qualitative analysis" of intelligent building unexpected events. Intelligent building unexpected events are divided into nine basic categories: fires,illegal intrusion,equipment malfunction and alarm,terrorist attacks,explosions,chemical spills,twist and collapse of building,earthquakes,natural disasters. Equipment malfunction and alarm,explosions are cusp-type unexpected events; fire,twist or collapse of building structures belong to swallowtail-type unexpected events; earthquakes,natural disasters,illegal intrusion,leaking chemicals are fold-type unexpected events. The result of mathematical analysis of catastrophe models can support the decision-making of dealing the intelligent building unexpected events and lay a foundation for in-depth study. (2) At present most of the research are aimed at people's escape behavior, as well as the psychological. This Paper focuses on equipment of the intelligent building for disaster reduction and to provide guidance to help the escaping. (3) In order to quickly get the decision-making, vector cosine law is used for searching similarity cases. Compared to the use of words searching, it takes more less time to get the most similarity case. (4) This paper bring forward warehouse technology to realize BAS, CAS and IAS data integration, and based on existing systems, intelligent building handle Intelligent building unexpected events through systems integration, which lay a foundation for a more higher integration of Intelligent building. (5) In the aspect of virtual unexpected events, focus on the shortage of existing flame model, paper proposes a random Lagrangian method based on non-grid, which through a group of particles to modeling the fluid. Its statistical properties and the equation based on fluid changes in the same particles, but more stable. At the same time chemical composition is added into fire simulation which increases the authenticity of flame.The catastrophe models of unexpected events established in this paper provides a theoretical foundation for further study of building unexpected events. The research and concrete realization in this paper on intelligent building system integration, decision support, as well as virtual reality and other aspects not only provides for practical engineering of intelligent building, but also gives a reference for further development.