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This paper discuss the fire objective of commercial center integrating the shopping mall and Wal-Mart supermarket etc., and also the auxiliary engineering project of commercial and residential buildings composed by high-rise residential areas. "Fuel Island" design method is adopted to prevent the radiation and spread across functional areas including dining area and commercial area. The maximum heat release rate of fires at various scenes is also determined by different approaches, and then the larger value is taken as the final fire scale.

In order to realize large-scale absolute surface reconstruction, a generalized iterative optimization method for solving the three-flat problem is studied. First, the idea of model-based absolute surface reconstruction is proposed, which considers the problems of absolute surface reconstruction as inverse problems. Then we take the three-flat problems as an example, we introduced two generalized iterative optimization methods for three-flat model. Finally, by both simulation and experiment, it is concluded that the block SOR method with an optimal relaxation factor converges much faster and saves more computational costs and memory space without reducing accuracy. Both simulation and experimental results indicate that the proposed iterative optimization methods are effective for solving the three-flat problem with pixel-level spatial resolution and the measuring precision of two separate measurements is 0.6 nm rms, and the cross-check test result is 0.8 nm rms. It is concluded that the proposed method can correctly reconstruct absolute figures with high efficiency and pixel-level spatial resolution.