Digital Twin Data Acquisition System for Institutional Facility Management

Emerging Technology Ventures Inc. (ETV) and its research and development (Ramp;D) partners, Navajo Technical University (NTU) and New Mexico Institute of Mining and Technology (NMT), proposed to develop and demonstrate a ldquo;Digital Twin (DT) Data Acquisition System for Institutional Facility Managementrdquo;. The innovation addresses Industry 4.0 digital transformation initiatives in Building Information Modelling (BIM) and Facility Management (FM) which have created critical demand for up-to-date digitized building assets for effective implementation in predictive, condition-based maintenance (CBM) strategies in FM. The teamrsquo;s proposed use of autonomous, multi-modal systems and analytics to create DTs representing near real-time status of the built environment for FM offers an opportunity for responsive, labor efficient CBM.This Phase II proposal continues the work completed in Phase I and results in a deployable capability to NASArsquo;s Marshall Space Flight Facility for user evaluation and feedback in an iterative ldquo;Research-Design-Buildrdquo; process. This project continues collaboration between ETV and its Ramp;D partners which have ongoing supporting technology initiatives including the National Aeronautics and Space Administration (NASA) Minority University Research and Education Project (MUREP) Innovation Tech Transfer Idea Competition with NTU and the Department of Defense (DoD) Autonomous Inspection, Damage Classification, and Repair Support System for Aircraft Mission Readiness with NMT. This joint proposal represents the next step in the team#39;s vision to build a fundamental and applied research collaborative in autonomous sensing and predictive analytics in complex environments. The innovation aims to meet market opportunities in critical infrastructure inspection (aerospace, facilities, renewable energy), precision agriculture, and public safety.