Automated productivity analysis of pilot tube microtunneling installations through workflow recognition in time-series data of hydraulic pressure

Pingbo Tang, Zhenglai Shen, Matthew P. Olson, Samuel Ariaratnam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Monitoring the productivity of trenchless construction processes, such as Pilot Tube Microtunneling (PTMT) installations, is necessary for proactive control of construction operations. For example, engineers can correlate construction operation parameters (e.g., forces) with contextual information (e.g., soil type) for identifying factors influencing the PTMT productivity. Awareness of these correlations can help engineers to select and control the equipment accordingly. Such correlations, however, are hidden in large amounts of field data. Tedious manual data collection and processing cannot capture and analyze details of PTMT workflows. This paper presents an automated data collection and interpretation approach for supporting detailed PTMT productivity analysis. This approach uses a data logger to record the hydraulic pressures of equipment used during the PTMT automatically. A two-step pattern recognition method can detect time-series patterns of the hydraulic pressure and identify cycles of operations in three stages of the PTMT: 1) pilot tube installation; 2) casing installation; and 3) product pipe installation. The first step uses an Artificial Neural Network (ANN) to classify the time-series as belonging to a certain stage of PTMT. The second step uses an Adaptive Anomaly Detection Algorithm (AADA) to split the time-series into sections corresponding to operational cycles. A case study demonstrates that this automated approach can reliably recognize operational cycles of construction equipment in PTMT workflows.

Original languageEnglish (US)
Title of host publicationICPTT 2014 - Proceedings of the 2014 International Conference on Pipelines and Trenchless Technology
EditorsMohammad Najafi, Huiming Tang, Baosong Ma
PublisherAmerican Society of Civil Engineers (ASCE)
Pages818-827
Number of pages10
ISBN (Electronic)9780784413821
DOIs
StatePublished - Jan 1 2014
Event2014 International Conference on Pipelines and Trenchless Technology, ICPTT 2014 - Xiamen, China
Duration: Nov 13 2014Nov 15 2014

Publication series

NameICPTT 2014 - Proceedings of the 2014 International Conference on Pipelines and Trenchless Technology

Other

Other2014 International Conference on Pipelines and Trenchless Technology, ICPTT 2014
CountryChina
CityXiamen
Period11/13/1411/15/14

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Safety, Risk, Reliability and Quality
  • Civil and Structural Engineering

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