Construction of a Sustainable Development Evaluation Model for Hydraulic Engineering Projects Based on Association Rules and Big Data

The current conventional water conservancy project sustainability evaluation model mainly uses principal component analysis to select suitable evaluation indicators, which leads to poor evaluation due to the lack of analysis of the relevance of evaluation indicators. In this regard, a sustainable development rating model for hydraulic Engineering projects based on association rules and big data is proposed. The rating index system is built in a hierarchical way, and association rules are constructed by mining frequent item sets, and the importance of evaluation indexes is analyzed using association rules, and different weight values are assigned to the indexes. The evaluation of sustainable development of hydraulic Engineering projects is realized by calculating the comprehensive rating index. In the experiments, the proposed model was verified for evaluation accuracy. The experimental results show that the sustainable development evaluation model constructed by the proposed method has a small error value of the evaluation index of the model and has a high evaluation accuracy.