"Smart Dust" and Nanotechnology for Joint Weapons Systems Diagnostics/Prognostics
Navy SBIR 2008.2 - Topic N08-109
MARCOR - Mr. Paul Lambert - [email protected]
Opens: May 19, 2008 - Closes: June 18, 2008
N08-109 TITLE: "Smart Dust" and Nanotechnology for Joint Weapons Systems Diagnostics/Prognostics
TECHNOLOGY AREAS: Materials/Processes, Sensors, Electronics, Battlespace
ACQUISITION PROGRAM: Automatic Test Equipment - ACAT III
OBJECTIVE: Develop highly integrated,ultra-miniature, non-obtrusive, wireless, sensory systems for greatly enhanced weapons systems diagnostics to the Light Armored Vehicle (LAV). These micro-miniature technologies would aid greatly in the collection of on-system weapons systems information for diagnostics and prognostics purposes. This will tie into current Joint Service efforts such as GCSS/GCCS by providing unparalled visibility into the status and maintenance condition of a specific weapons system platform.
DESCRIPTION: Maintainers lack visibility into their equipment beyond any built in test or embedded diagnostics capability that the weapon system might possess. Recent advances in microelectrical-mechanical systems(MEMS) and nanotechnology should allow the integration of a class of devices small enough to be rapidly placed on legacy equipment with minimal/no visible alterations to the equipment itself.
When maintenance is performed, having ultraminiturized sensor capability within the system would provide precise knowledge of the system condition and allow dramatically increased diagnostics capability, with rapid pinpointing of the system’s problem. Therefore, accuracy, speed of diagnosis, and unprecedented visibility into weapons systems behavior and possible incipient failure would be aided by this type of technology.
This effort would combine the latest in state-of-the-art micro- and nano-system device and integration technologies into an autonomous smart micro/nanosensor device for application to diagnostics/prognostics monitoring of legacy DoD ground based vehicles and telecommunications equipment.
PHASE I: Develop a concept for the smart dust sensor type for the LAV and a separate processing node device capable of interfacing with potentially hundreds or thousands of smart dust sensors. For the purpose of this initial effort, the conceptual design shall be capable of accommodating of up to 50 sensors. This design will include the overall device architecture concept and implementation, and communication protocols. The initial sensorial focus will be on current,voltage, and temperature sensing. The concept will also consider the range of emerging power scavenging and sourcing technologies to help dramatically extend operational lifetimes.(i.e. vibration, heat, sound, voltage, isotopic, current power scavenging). Consideration of a larger common data processing node device to be able to collate the information from the ‘net’ of sensors. Environmental constraints posed by the mix of climates and conditions (mud, oil, sand, moisture etc.) encountered worldwide to these sensors will be explored and the methods considered to provide mitigation. Standardized systems engineering concepts for this technology will be proposed that stabilize sensor placement methodologies and other considerations.
PHASE III: Design and employ a series of smart dust systems providing diagnostics/prognostics technologies of unprecedented penetration and low cost for commercial, DoD and Federal Government applications.
PRIVATE SECTOR COMMERCIAL POTENTIAL/DUAL-USE APPLICATIONS: Devices of the type developed in this effort would find wide-spread application in commercial activities involving fleets of in-service equipment such as the airline and shipping industries, as well as any systems requiring remote sensing.
2. "Intelligent Sensor Validation and Fusion with distributed (MEMS Dust) Sensors", Shijun Qiu*, Dept of Mechanical and Electrical Engineering
3. "Smart Sensor Networks", David Rees, Smart Sensing Project CSIRO Telecommunications and Industrial Physics, March 04, 2002, TIPP 1476.
4. "AAAV Prognostic System Trade Study" Power Scavenging Technology
KEYWORDS: MEMS, Nanotechnology, Microsystems, Power Scavenging, Condition-based Maintenance, Microsensors, Nanotubes.