利用现有环境试验站材料和环境腐蚀数据, 加以归纳和整理,建立了碳钢海水腐蚀数据库,并通过幂指数回归方法对数据进行拟和预测,得到了良好的预测结果.设计了预测数据库的流程结构,创建了一套Servlet核心库类,实现了腐蚀预测数据库的应用.通过整合JSP的Cewolf插件,在动态网页上实现了科学数据的图形化显示.
Based on the existed seawater corrosion data and environment data collected from nation wide material environmental corrosion test sites of China, a seawater corrosion network database was built for carbon steels. The forecasting model which was built by using exponent regress method, gained a high-precision result. To implement this prediction database, the special flow structure and a new suit of Servlet API class were designed for this application of database. For the graphics display of the corrosion data, the Cewolf interpose in JSP web page was employed.
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