Big data retrieval model of substation area household change relationship based on coupling feature extraction

In order to improve the performance of feature extraction, this paper proposes a new retrieval model based on coupled feature extraction. In this paper, we preprocess the big data, process the big data by distributed fusion, analyze the characteristics of the big data, extract its statistical features, and construct the big data distribution structure model. By extracting the power user coupling feature, the multi-space memory distribution of user variable relation big data features extraction and retrieval is obtained, and the analysis model is optimized. Experimental results show that the retrieval model based on this method can improve the capability of retrieval and information access, which is helpful to improve the retrieval ability to a certain extent.