Abstract: In response to challenges such as fragmented business functions, varying research and development depths, and inconsistent application effects in the current digital engineering investigation sector, this article proposes a full-chain digital engineering investigation workflow and an application service system based on digital twin technology. Supported by a centralized investigation big data platform, the system integrates microservice architecture, mobile GIS, and artificial intelligence, adhering to a unified logical framework and underlying standards. It introduces innovative approaches for managing massive multi-source heterogeneous investigation data, intelligent rockburst risk assessment based on in-situ stress big data, and multi-source full geological element twin scene modeling. A digital engineering investigation platform has been developed, integrating multi-source map services, field collaborative data collection, unified data management, online map generation, professional analysis and evaluation, dynamic result representation, and digital twin services. Practical applications demonstrate that the platform achieves favorable technology promotion outcomes and offers significant reference value for industry advancement.