Time Series Analysis of Hydraulic Data for Automated Productivity Monitoring of Pilot Tube Microtunneling

Abstract

AbstractMonitoring and controlling construction productivity of pilot tube microtunneling (PTMT) are important in reducing delays of tunneling projects and in decreasing project costs. Collecting reliable and detailed productivity data in the field for effective PTMT productivity analysis, however, is challenging. Sensors attached to hydraulic devices of PTMT machines can automatically record time series of a boring machine’s hydraulic forces during operations. These time series show cyclic patterns corresponding to cyclic PTMT operations in three stages of PTMT: (1) pilot tube installation, (2) casing installation, and (3) product pipe installation. Analyzing these time series manually for detailed productivity analysis is possible, but such manual analysis becomes tedious and error-prone. This paper presents a knowledge-based and adaptive time series analysis approach that can automatically detect cycles of construction activities from time series data and thus achieve real-time PTMT productivity analys...