Practical Considerations for Designing a Remotely Distributed Data Acquisition System

Abstract

As government and commercial entities continue moving towards a condition based maintenance approach for logistics, the need for automated data acquisition becomes vital to success. For the duration of this document data acquisition is defined as the means by which raw facts are gathered for transmission, evaluation, and analysis. Condition based maintenance is an advanced maintenance management mode, which helps avoid disrepair or excessive repair due to periodic maintenance, reduces maintenance cost, and also improves equipment reliability and availability. The analysis of critical system data minimizes the vulnerabilities of monitored systems, maximizes system availability, and concurrently produces a proactive logistics enterprise. This chapter discusses the design and implementation details of an adaptable automated data acquisition system (DAS) comprising several automated data acquisition nodes. Ideally, a versatile DAS design should have the capabilities to acquire and transmit data on key system test points in electronic or mechanical systems as well as provide the capacity for onboard data storage.

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Document Details

Document Type
Technical Report
Publication Date
Nov 28, 2010
Accession Number
ADA562141

Entities

People

  • Gregory Mitchell
  • Marvin Conn

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Case Studies
  • Communication Channels
  • Computer Programming
  • Computers
  • Condition Based Maintenance
  • Data Acquisition
  • Data Storage Systems
  • Graphical User Interface
  • Maintenance
  • Maintenance Management
  • Mesh Networks
  • Multiple Access
  • Network Topology
  • Processing Equipment
  • Wireless Communications
  • Wireless Sensor Networks

Readers

  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Life Cycle Cost Analysis

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems