This study developed an information lifecycle-oriented information management system model for architectural design industry by combining information lifecycle theory with information management system for architectural design industry. In addition to improving weak/complicated processes during information management for architectural design industry, this integrated model merged information lifecycle theory on routine information management operations, and therefore enhances business sensitivity of information management and promotes effectiveness of information management. Furthermore, with the information management process reengineering, this paper studied the theory and framework of information lifecycle flow based on information process mechanism on integrated information management phases for architectural design industry. The paper established an analytical framework for the study of the process and mechanism of disaster information process reengineering and taking the architectural design industry for example, this paper analyzed diversified phases of integrated process for information management of architectural design industry. Key outcomes of this study include the demonstration and assessment of the information process mechanism and information management for architectural design industry based on information lifecycle theory. This study established a new direction for future research on information lifecycle-oriented process reengineering for architectural design industry.

To reduce the prediction error rate of earthquake casualties, the paper proposed a prediction model with two steps: (1) screening of the earthquake casualties correlation factors; (2) improving the predictive veracity of general BP(Back Propagation) neural network model.By the analysis of 9 kinds of correlation factors, the paper established the MIV(Mean Impact Value) model based on BP neural network to screen the final correlation factors, and the paper got 6 main correlation factors according to the size of output weights of the factors. Finally, the paper verified the accuracy and practicability of the model through the validation of the model and the solving of prediction error of relevant factors hasn't been selected.