SPoC Resilient Basing

OUSD (R&E) CRITICAL TECHNOLOGY AREA(S): Trusted AI and Autonomy; Microelectronics; Integrated Sensing and Cyber; Advanced Computing and Software The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and import of defense-related material and services, including export of sensitive technical data, or the Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls dual use items. Offerors must disclose any proposed use of foreign nationals (FNs), their country(ies) of origin, the type of visa or work permit possessed, and the statement of work (SOW) tasks intended for accomplishment by the FN(s) in accordance with the Announcement. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. OBJECTIVE: 1.) Digital Transformation AI/ML Capabilities and Automation: Adopt existing technologies or new technologies that increase the efficiency of decision making and routine processes for space professionals in mission accomplishment 2.) Critical Infrastructure Technologies: Adopt technologies which predict and automate critical infrastructure asset stressors and failures to link power projection capabilities with mission assurance goals. DESCRIPTION: Historically, suitability for new space operation mission growth was assessed in a stovepiped and data constrained fashion. Recent data indicates that shared, whole building systems have reached capacity, thereby potentially impacting or delaying critical mission system or technology upgrades. Space Base Delta 1, in concert with Delta 6, would like to develop an interactive digtial twin of the critical infrastructure (e.g., cooling, power, HVAC) that supports space operations within SBD 1. This digital twin would be used for the following activities: facility space planning, what if analyses for loading and resiliency, real time monitoring of critical nodes, development of smart maintenance best practices, energy analysis/efficiency, exercise / wargame support. PHASE I: Demonstrate through analysis the abilty to perform the functions outlined in the Phase II. PHASE II: Step 1: Develop an interactive model of a facility or piece of infrastructure supporting space operations. Identify and scope infrastructure at New Boston Space Force Station to convert into a digital twin. Develop an interactive digital twin prototype and implement use cases (facility space planning, what if analyses). Capture lessons learned to scale to a larger system of systems at Schriever SFB, CO. Step 2: Add sensors into infrastructure in order to enable smart monitoring of infrastructure performance. Focus on primarily HVAC and electrical equipment. Goal is to detect anomalous conditions that foreshadow a failure. Use date to feed predictive maintenance models. Step 3: Develop an AI augmented situational awareness and decision tool for SBD 1's Civil Engineering Squadrons to command and control smart base infrastructure. Tool could be used on all USSF SBDs as well as USAF bases. Create roadmap to scale to all DAF bases and GSUs. PHASE III DUAL USE APPLICATIONS: Transition pilot program to AFMC for sustainment funding. Scale pilot program to other SBD 1, 2, and 3 instatllations. REFERENCES: SBD 1_B400 Power - Cooling Assessment MSG_FINAL.pdf; BOS Digital Transformation Strategy (as of 3 March 2023) (CUI version).pptx; SpOC Near Term Top Challenges Memo.pdf; KEYWORDS: Artificial Intelligence; AI; Machine Learning; ML; Automation; Smart City; Smart Base; digital twin; BOS; Resiliency; Smart Maintenance; what-if analysis; Resilient Basing