ENSCO Presents Track Data Filtering Methodologies at University of Delaware’s ‘Big Data’ Conference
Company analysis provides rail customers increases in safety, operational efficiencies and financial savings.
Today, officials from ENSCO, Inc., an international technology company, will be presenting a paper on data filtering methodologies at the University of Delaware’s ‘Big Data’ in Railroad Maintenance Planning 2022 conference.’ The conference focuses on the rail sector’s latest needs and practical applications of Big Data analytics to include both infrastructure and rolling stock maintenance planning.
“ENSCO’s expertise in track geometry and data analytics provides our customers with actionable information to make critical decisions that will improve safety, prioritize the scheduling of track maintenance and enhance operational efficiencies throughout their rail network.
“This conference brings together experts in the rail sector to discuss new techniques that will significantly improve process automation on very large volumes of data into relevant, purposeful information.”
ENSCO officials will present the following paper at the Big Data conference:
Wednesday, Dec. 14, 2022
1:15 – 3:30 p.m.
Session IIIA
Big Data Application and Case Studies: Railway Infrastructure Asset Management
“Advanced Data Filtering Methodologies with Geometry Ft-by-ft Change Detection”
Presented by:
Donald Cooper and Samantha Kirkpatrick
This article was originally published by ENSCO Rail.
