介绍一种基于PIR的可保证强隐私保护的BRNN查询架构，并提出一种正交优化技术来进一步提高查询效率。

首先对本文面向隐私的BRNN查询进行分析，其次介绍了BRNN查询处理的解决方法，最后提出正交优化技术来进一步提高

查询效率并进行实验验证。本文解决的关键问题主要包括提高查询成功率，降低匿名查询时间，提高数据建模的准确度。

This paper introduces a strong privacy-guaranteed BRNN query architecture based on PIR, and proposes an orthogonal optimization technique to further improve the query efficiency. Firstly, this paper analyzes the privacy-oriented BRNN query, secondly introduces the method of BRNN query processing, and finally proposes the orthogonal optimization technology to further improve the query efficiency and experimental verification. The key problems to be solved in this paper include improving the success rate of query, reducing the time of anonymous query and improving the accuracy of data modeling.