Quality Evaluation System of Oil-immersed Distribution Transformer Based on Big Data Technology

In order to better assess the health level of oil-immersed distribution transformers, the test data of the equipment in this paper was the entry point for quality assessment, and a more systematic quality assessment system for oil-immersed distribution transformers based on big data technology was constructed. The combined weighting of the order relation method and the entropy method was used to mine the test data of the oil-immersed distribution transformer, and the state parameters that can effectively characterize the quality of the oil-immersed distribution transformer was explored, combined with set pair analysis to build a multi-state variable-based distribution transformer quality evaluation model. The results show that the evaluation results of the system are basically consistent with the actual situation, indicating that the evaluation system has a certain effect on the quality evaluation of oil-immersed distribution transformers.