In order to achieve secure data aggregation without exposing the data privacy of data providers, a distributed Top-k aggregation query method is proposed in this paper based on the Privacy-preserving. The center node in this algorithm will firstly do privacy protection processing for data objects from the list provided by participants. Then, it will use secure multiparty computation operations to do privacy protection for each list of data objects based on the three-stage threshold algorithm. In this way, the data objects provided by participants can be protected; meanwhile, the Top-k query results can be accessed quickly and accurately.