Chapter
Aug 6, 2013
Acceleromter-Based Measurement of Construction Equipment Operating Efficiency for Monitoring Environmental Performance
Authors: Changbum R. Ahn [email protected], SangHyun Lee [email protected], and Feniosky Peña-Mora [email protected]Author Affiliations
Publication: Computing in Civil Engineering (2013)
Abstract
Monitoring operational efficiency of construction equipment, which indicates how efficiently construction equipment is utilized, provides key information in reducing air pollutant emissions from equipment use as well as improving the productivity of construction operations. In this paper, we report our efforts to measure the operational efficiency of construction equipment, using low-cost accelerometers. The measurement of the operational efficiency of construction equipment is formulated as a problem that classifies second-by-second equipment activity into working, idling, and engine-off modes. We extract various features from the raw accelerometer data and classify them into three different equipment activities (working, idling, and engine-off), using supervised learning algorithms such as Logical Regression, decision trees, k-Nearest Neighbor, and Naïve Bayes. The result from the real-world experiment indicates that the use of supervised learning algorithms provides over 93% of recognition accuracies, and this level of accuracies causes less than 2% error in the measurement of equipment operating efficiency.
Get full access to this article
View all available purchase options and get full access to this chapter.
Information & Authors
Information
Published In
Copyright
© 2013 American Society of Civil Engineers.
History
Published online: Aug 6, 2013
Permissions
Request permissions for this article.
Authors
Affiliations
Assistant Professor, Construction Engineering and Management Division, Charles Durham School of Architectural Engineering and Construction, University of Nebraska-Lincoln, W145 Nebraska Hall, Lincoln, NE 68588. E-mail: [email protected]
Assistant Professor, University of Michigan, 2350 Hayward St., Suite 2340 G.G. Brown Building, Ann Arbor, MI 48109. E-mail: [email protected]
Edwin Howard Armstrong Professor of Civil Engineering and Engineering Mechanics and Professor of Earth and Environmental Engineering, and of Computer Science, Columbia University University in the City of New York, 510 Southwest Mudd Building, 500 West 120th Street, New York, NY 10027. E-mail: [email protected]
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
View Options
Get Access
Access content
Please select your options to get access
Log in/Register
Log in via your institution (Shibboleth)
ASCE Members:
Please log in to see member pricing
Purchase
Save for later Item saved, go to cart Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Get Access
Access content
Please select your options to get access
Log in/Register
Log in via your institution (Shibboleth)
ASCE Members:
Please log in to see member pricing
Purchase
Save for later Item saved, go to cart Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.