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Design and deployment of industrial sensor networks: experiences from a semiconductor plant and the north sea
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Source Conference On Embedded Networked Sensor Systems archive
Proceedings of the 3rd international conference on Embedded networked sensor systems table of contents
San Diego, California, USA
SESSION: Deployment experience table of contents
Pages: 64 - 75  
Year of Publication: 2005
ISBN:1-59593-054-X
Authors
Lakshman Krishnamurthy  Intel Corporation, Santa Clara, CA
Robert Adler  Intel Corporation, Santa Clara, CA
Phil Buonadonna  Arched Rock, Berkeley, CA
Jasmeet Chhabra  Intel Corporation, Santa Clara, CA
Mick Flanigan  Intel Corporation, Santa Clara, CA
Nandakishore Kushalnagar  Intel Corporation, Santa Clara, CA
Lama Nachman  Intel Corporation, Santa Clara, CA
Mark Yarvis  Intel Corporation, Santa Clara, CA
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGBED: ACM Special Interest Group on Embedded Systems
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 41,   Downloads (12 Months): 230,   Citation Count: 37
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ABSTRACT

Sensing technology is a cornerstone for many industrial applications. Manufacturing plants and engineering facilities, such as shipboard engine rooms, require sensors to ensure product quality and efficient and safe operation. We focus on one representative application, preventative equipment maintenance, in which vibration signatures are gathered to predict equipment failure. Based on application requirements and site surveys, we develop a general architecture for this class of industrial applications. This architecture meets the application's data fidelity needs through careful state preservation and over-sampling. We describe the impact of implementing the architecture on two sensing platforms with differing processor and communication capabilities. We present a systematic performance comparison between these platforms in the context of the application. We also describe our experience and lessons learned in two settings: in a semiconductor fabrication plant and onboard an oil tanker in the North Sea. Finally, we establish design guidelines for an ideal platform and architecture for industrial applications. This paper includes several unique contributions: a study of the impact of platform on architecture, a comparison of two deployments in the same application class, and a demonstration of application return on investment.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  37

Collaborative Colleagues:
Lakshman Krishnamurthy: colleagues
Robert Adler: colleagues
Phil Buonadonna: colleagues
Jasmeet Chhabra: colleagues
Mick Flanigan: colleagues
Nandakishore Kushalnagar: colleagues
Lama Nachman: colleagues
Mark Yarvis: colleagues