| The scientific experiment is one of the most important way to understand the objective rules and to improve the social productivity. In scientific experiment, it plays an important role to study how to reduce the experimental times and economic prices to acquire reliable experimental results, the most efficient solution of which is the research on experimental designing methods.With the maturation of network and computer science and the development of the relevant experimental designing technology, experimental designing methods gradually changes from traditional mathematic calculation to intelligent calculation, from traditional manual design to computer-aided design. A synthetic experimental designing and analytical method based on the "black box" theory and the study of other modern experimental designing and data analytic theories is put forward to satisfy the function of computer-aided experimental design: in certain filtrating criterions, input of experimental factor level is enough to choose experimental designing methods intelligently and create experimental designing results automatically, and to choose experimental data analytic methods intelligently based on the experimental data characteristics and get the experimental analytic results automatically after inputting the experiment result.On the background of the "product and research synthetic management system of Changsha cigarette factory" project, a computer-aided platform with the core of multi-experimental designing and analyzing algorithm is designed and realized using database and .NET network technology. The platform creates the experimental alternatives, analyses the experimental results, realizes the intelligent sharing mechanism of the experimental data, regulates and predigests the process of the experimental design, abbreviates the experimental designing time, improves the efficiency of the experimental results and enhances the scientific and economic quality of the experiment. |