Abstract: With the increasing complexity of building electrical systems, real-time collection and efficient transmission of massive heterogeneous data from multiple sources has become a key challenge for fine management of building energy consumption. Traditional electrical data processing and analysis techniques face problems such as data loss and increased latency when faced with multi node, high sampling, and strong real-time processing requirements. Therefore, this article introduces dense wavelength division multiplexing technology. First, an electrical data acquisition network topology based on this technology is designed. And different distribution circuits and electrical parameters are allocated to independent wavelength channels, achieving multi-channel parallel transmission, effectively improving channel capacity and reducing electromagnetic interference effects. Then, a wavelength data mapping model is established to achieve full link optimization from data acquisition to accurate analysis. The experimental results show that the data collection completeness rate under the application of the proposed scheme is over 99.8%, significantly improving the real-time and reliability of energy consumption analysis.