Automated monitoring of pilot tube microtunneling installations through pattern recognition in time-series data of hydraulic pressure

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

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

5 Citations (Scopus)

Abstract

Understanding the jacking forces and productivity of trenchless construction is critical for appropriate technology selection and proactive control of boring operations. Civil engineers can correlate construction operation parameters (e.g., equipment, forces, and timing) with contextual information (e.g., soil characteristics) for identifying issues influencing the trenchless construction productivity. Manual data collection methods for capturing the tunneling construction operations lack the capabilities of acquiring details of the construction, making detailed workflow analysis difficult. This paper presents an automated data collection and interpretation approach for supporting detailed tunneling productivity analysis. This approach uses a data logger to automatically record the hydraulic pressures of various construction equipment used during Pilot Tube Microtunneling (PTMT) installations. A pattern recognition method can then automatically classify time series patterns of the hydraulic pressure, and detect cycles of construction operations within the three phases of the PTMT process: 1) pilot tube installation; 2) casing installation; and 3) product pipe installation. This method first uses the Artificial Neural Network (ANN) algorithm to classify the time series of the hydraulic pressure for determining the phase. It then uses an anomaly detection algorithm to split the time series into boring operation cycles and individual operations (pushing, retracting, etc.) through detecting discontinuities in the time series pattern. Results from a case study indicate that this approach enables detailed productivity analysis of a typical PTMT process.

Original languageEnglish (US)
Title of host publicationPipelines 2013: Pipelines and Trenchless Construction and Renewals - A Global Perspective - Proceedings of the Pipelines 2013 Conference
Pages974-983
Number of pages10
StatePublished - 2013
EventPipelines 2013 Conference: Pipelines and Trenchless Construction and Renewals - A Global Perspective - Fort Worth, TX, United States
Duration: Jun 23 2013Jun 26 2013

Other

OtherPipelines 2013 Conference: Pipelines and Trenchless Construction and Renewals - A Global Perspective
CountryUnited States
CityFort Worth, TX
Period6/23/136/26/13

Fingerprint

Pattern recognition
Time series
Hydraulics
Monitoring
Productivity
Boring
Oil well casings
Construction equipment
Pipe
Neural networks
Soils
Engineers

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

Cite this

Tang, P., Olson, M. P., Shen, Z., & Ariaratnam, S. (2013). Automated monitoring of pilot tube microtunneling installations through pattern recognition in time-series data of hydraulic pressure. In Pipelines 2013: Pipelines and Trenchless Construction and Renewals - A Global Perspective - Proceedings of the Pipelines 2013 Conference (pp. 974-983)

Automated monitoring of pilot tube microtunneling installations through pattern recognition in time-series data of hydraulic pressure. / Tang, Pingbo; Olson, Matthew P.; Shen, Zhenglai; Ariaratnam, Samuel.

Pipelines 2013: Pipelines and Trenchless Construction and Renewals - A Global Perspective - Proceedings of the Pipelines 2013 Conference. 2013. p. 974-983.

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

Tang, P, Olson, MP, Shen, Z & Ariaratnam, S 2013, Automated monitoring of pilot tube microtunneling installations through pattern recognition in time-series data of hydraulic pressure. in Pipelines 2013: Pipelines and Trenchless Construction and Renewals - A Global Perspective - Proceedings of the Pipelines 2013 Conference. pp. 974-983, Pipelines 2013 Conference: Pipelines and Trenchless Construction and Renewals - A Global Perspective, Fort Worth, TX, United States, 6/23/13.
Tang P, Olson MP, Shen Z, Ariaratnam S. Automated monitoring of pilot tube microtunneling installations through pattern recognition in time-series data of hydraulic pressure. In Pipelines 2013: Pipelines and Trenchless Construction and Renewals - A Global Perspective - Proceedings of the Pipelines 2013 Conference. 2013. p. 974-983
Tang, Pingbo ; Olson, Matthew P. ; Shen, Zhenglai ; Ariaratnam, Samuel. / Automated monitoring of pilot tube microtunneling installations through pattern recognition in time-series data of hydraulic pressure. Pipelines 2013: Pipelines and Trenchless Construction and Renewals - A Global Perspective - Proceedings of the Pipelines 2013 Conference. 2013. pp. 974-983
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