Embeddable Sensor Mote for Structural Monitoring
Abstract
An embeddable sensor mote for structural monitoring is described. The Missouri University of Science and Technology (MST) F1 mote is designed to provide a general platform for sensing, networking, and data processing. The platform consists of an 8051 variant processor, two 802.15.4 variant radio platform options, micro Smart Digital (SDTM) flash storage, USB connectivity, RS-232 connectivity, and various sensor capabilities. Sensor capabilities include, but are not limited to, strain gauges, a three-axis multi-range accelerometer, thermocouples, and interface options for other digital and analog sensors via a screw terminal block. In its default configuration the strain conditioning channel is appropriate for structural monitoring, but through reconfiguration it can be used with other resistive bridge transducers for pressure, force, displacement, etc. The F1 mote provides capabilities for strain, temperature, and vibration sensing in a small package. The mote is used at MST for networked monitoring of structures and networked robotic vehicles. In this paper an overview of the F1 mote will be given that emphasizes its operating architecture and potential applications. Applications include infrastructure monitoring for structures such as bridges, levees, and buildings as well as robotics, machine monitoring, and sensor networks. The described platform provides novelty in that it has the ability to be a dedicated structural monitoring system, however can be also used in development of other systems. The F1 platform was designed to combine features of available dedicated platforms and available development kits. The F1 provides a novel combination of sensing, processing, and application possibilities for the targeted application areas.
Recommended Citation
M. J. Zawodniok et al., "Embeddable Sensor Mote for Structural Monitoring," Proceedings of Society of Photo-Optical Instrumentation Engineers; Energy efficient wireless sensor network protocols for monitoring and prognostics of large scale systems, SPIE, Apr 2008.
The definitive version is available at https://doi.org/10.1117/12.776344
Department(s)
Electrical and Computer Engineering
Sponsor(s)
Air Force Research Laboratory (Wright-Patterson Air Force Base, Ohio)
National Science Foundation (U.S.)
United States. Department of Education
Keywords and Phrases
Embedded Sensors; Infrastructure Monitoring; Mote; Wireless; Sensor networks -- Design
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2008 SPIE, All rights reserved.
Publication Date
01 Apr 2008