摘要
针对空气污染的严重程度与人们希望降低空气污染程度这一目标之间存在的矛盾,以可拓理论为基础,以解决地区性二氧化硫浓度矛盾为例,根据可拓策略生成系统框架,构建问题的核模型.通过相关网分析影响地区性二氧化硫浓度的众多因素及其交互影响的因果关系,通过可拓推理和可拓变换生成解决该矛盾问题的各种策略,并评选出通过烟气脱硫来控制地区二氧化硫浓度这一较优策略.介绍了在计算机上实现关于地区性二氧化硫浓度矛盾的可拓策略生成系统的过程,并给出运行结果.
In view of the contradiction between the serious air pollution and the goal of less air pollution that people wish to achieve, this research, based on extension theory, solves a regional SO2 concentration contradiction problem. It builds the kernel model of the problem according to the framework of extension strategy generating system. It analyzes the various factors that affect regional SO2 concentration and their interactive causality by correlative net. It generates various strategies to solve the problem by extension inferences and extension transformations. It chooses a better strategy to solve the problem, which is controlling the regional SO2 concentration by smoke taking off sulphur. This paper presents the process of implementing the extension strategy generating system on a computer to solve the regional SO2 concentration contradiction problem and shows the running results.
出处
《广东工业大学学报》
CAS
2007年第4期42-48,共7页
Journal of Guangdong University of Technology
基金
广东省自然科学基金资助项目(05001832)
