Abstract: This paper addresses the challenges of low data collection efficiency and coordination difficulties among multiple stakeholders in electrical construction supervision. We propose a real-time data sharing method utilizing Bluetooth laser ranging technology. This method features a dual-frequency phase difference fusion ranging algorithm, enabling high-precision measurements in complex environments. We also introduce a transmission strategy based on an adaptive hybrid transmission architecture to ensure reliable data transmission in interference-prone settings. Additionally, we design a distributed data sharing architecture based on federated learning, facilitating collaboration among construction teams, supervisory bodies, and clients. The proposed method significantly enhances the efficiency of electrical construction supervision and improves quality management, demonstrating substantial engineering application value.