Data Acquisition Architecture for a Navigation System of a PIG Based on Distance Sampling

Pipelines are used for fluid transportation over long distances, necessitating effective monitoring and maintenance strategies. Pipeline Inspection Gauges (PIGs) instrumented with sensors and embedded systems playa crucial role in this field. This Work in Progress explores using a PIG for trajectory estimation and data acquisition. Several sensing technologies, including Inertial Navigation Systems (INS) and odometers, are integrated to determine the location and parameters of the pipeline. The electronic architecture of the PIG, designed for trajectory estimation, is discussed, focusing on the utilization of odometers and an Inertial Measurement Unit (IMU). The system features an FPGA-based electronic acquisition system, incorporating Quadrature Pulse Modules and Counters for data storage and processing. Furthermore, preliminary tests conducted on a pipeline circuit demonstrate the effectiveness of the proposed electronic architecture. Overall, this study presents a comprehensive approach to pipeline trajectory estimation, emphasizing the importance of data acquisition and processing to ensure accurate pipeline location. © 2024 IEEE.

Data Acquisition Architecture for a Navigation System of a PIG Based on Distance Sampling Academic Article in Scopus