The Technology Of Designing And Monitoring For Complex Simulation Experiments

Compared with the real-world experiments, complex simulation experiments have a large number of factors with large value range, consider a lot of indicators, and have complex relationship between the factors. There is an urgent need of the designing and monitoring technology of simulation experiment which is able to substantially increase the experimental efficiency. This paper carries out the following three aspects about the designing and monitoring technology based on the characteristics of complex simulation experiments.Firstly, this paper studies the design methods of complex simulation experiments. This paper divides DOE methods into two parts and studies4screening methods including Sequential Bifurcation and5formal DOE methods including Factorial Design on the basis of the complex simulation experimental features and the need of experimenting in stages, and analyses their application characteristics and applicable conditions in the simulation experiments.Secondly, this paper considers three key technologies of the designing and monitoring of complex simulation experiments.(1) This paper introduces the process model for designing of complex simulation experiments according to their sequential characteristics on the basis of the traditional experimental process.(2) This paper studies the rule-based intelligent design patterns of simulation experiments according to the summary of advantages and disadvantages of various experimental design methods and their applicable conditions, and researches the description of rule as well as the realization of rule base.(3) This paper studies the correspond three aspects of monitoring requirements and implementation of complex simulation experiments for its three levelsFinally, this paper studies the design and implementation of the tool for designing and monitoring of complex simulation experiments. For the limitation of current tool and the requirement of designing and monitoring for simulation experiments, this paper designs and implements a design and monitor tool with phased project management model and rule-based intelligent designing experiments patterns, and applies to an instance for designing and analysis of simulation experiment.