Online public opinion has become an important issue affecting national benefit and security. Based on system modeling and simulation, combining quantitative model methods and network topology analysis, this article establishes an Opinion SuperNetwork model to investigate different strategies of online public opinion intervention. We analyzed the effects of online opinion environments, opinion agents, psychologies, and viewpoints on the online public opinion formation and evolution. We further used these factors to investigate isolation, insertion, and reconstruction strategies. The results show that all the three intervention strategies produce good results, while insertion strategy is the best. And the mutual influence among superedges has the greatest impact on the result of intervention. Therefore, inserting positive superedges, meanwhile strengthening the mutual influence among superedges, is the optimal intervention strategy. This investigation will help quantify the research of online public opinion intervention, while provides a new method for rumor intervention.