With the widespread adoption of IoT, smart homes have gradually permeated our daily lives. However, most of this data is held by the data platform company. Platform companies sometimes leak data and sometimes discontinue unprofitable services. Concurrently, device compatibility, personal data security, and fragmentation problems are also becoming increasingly serious. In this study, we developed the Ubi-House system that integrates social and IoT data to provide users with personalized smart home management. The system adheres to a “Human-centric” principle, allowing users to manage their own smart home data and social network data. Through an authorization management feature, users can autonomously decide who to share their data with and to what extent. We advocate for the use of the ActivityPub protocol, which is widely used in decentralized social networks, as the communication protocol for smart homes. This facilitates centralized management of a user's smart home data and social network data. We have attempted to convert the communication protocols of existing smart home devices to the ActivityPub protocol, aiming to achieve interoperability among IoT devices from various companies. Our research addresses the fragmentation issue of smart home data. With the Ubi-House system, users can better control their data and ensure personal data security. Upon user authorization, third-party applications can assist users in understanding their usage habits, environmental conditions, and more, enhancing their comprehension of their own data. The comprehensive data collected by the Ubi-House system can be utilized with digital twin technology to construct virtual user behaviors, forecast device usage, gain a more accurate understanding of user needs, and deliver personalized services.