The traditional JDBC framework is featured by low code reusability, high coupling, and difficult transplantation, with connection object failures caused by frequent network faults. In this study, we propose a novel JDBC framework combined with several design patterns and the database reconnection mechanism. Through the DAO pattern, the proposed method provides the persistence logic interface, the decouple business logic and the persistence logic to the business logic layer. The concrete implementation of DAO is encapsulated through templates, strategies and factory patterns, improving uniformity of persistence codes while reducing code redundancy. This novel framework is applied to the performance evaluation system in a university. The results demonstrate that the improved JDBC framework decouples the data persistence layer from the business logic layer and improves the reuse rate and development efficiency of the codes in the data persistence layer, enhancing the robustness of the system.