Wireless, Non Invasive, Asset Life cycle Monitoring System (Postprint)

Abstract

Exposure to harsh environments during storage, transportation, and handling can have significant effect on various system assets, making it important to understand the full life-cycle exposure of sensitive equipment. To quantify a systems status timeline, a wireless, intelligent, low-power life-cycle monitoring device is being developed. No current monitoring systems have the capability to measure environmental conditions experienced by an asset and use that data to determine time spent in various states such as storage, transportation, handling and deployment. The sensor system being developed will employ a multi-modal sensing approach that will provide on-device analysis of the various parameters such as acceleration, temperature, and other environmental conditions for the duration of asset storage, handling, and distribution. Extremely low power and potentially easy to integrate into existing platforms, the monitoring system will include on-system intelligence for distinguishing between different statuses and is designed to use reliable, wireless, low-profile, and inexpensive sensing technologies. Embedded system intelligence is designed to use collected datasets to accurately quantify the assets current status and the amount of time spent within each state.

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Document Details

Document Type
Technical Report
Publication Date
Sep 24, 2018
Accession Number
AD1061350

Entities

People

  • Ethan Thompson
  • Hunter Long
  • James Eno
  • Jeff Demo
  • Kevin Farinholt
  • Mark Kim

Organizations

  • Air Force Research Laboratory Materials and Manufacturing Directorate

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Barometric Pressure
  • Chemical Reactions
  • Cycles
  • Embedded Systems
  • Energy Consumption
  • Life Cycles
  • Materials
  • Measurement
  • Microelectromechanical Systems
  • Monitoring
  • Optical Detectors
  • Transportation
  • United States
  • Wearable Technology

Fields of Study

  • Engineering

Readers

  • Life Cycle Cost Analysis
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design