RailTech : Deep Analytics on Security & Safety

✍ Scribed by Sumit Chakraborty

• Publisher: Business Analytics Research Lab India
• Year: 2017
• Tongue: English
• Leaves: 12
• Edition: 1
• Category: Library

✦ Synopsis

Abstract : This work is focused on RailTech, an emerging technology in rail operation from the perspectives of intelligent management information systems. RailTech integrates intelligent Driver Advice System (DAS), traffic control centre (TCC) and real-time fault diagnostics (RTFD). The technology is analyzed through deep analytics along seven ‘S’ dimensions: scope (S1), system (S2), structure (S3), strategy (S4), security(S5), staff-resources (S6) and skill-style-support (S7). It highlights technology life-cycle analysis on S-Curve and also shows SWOT analysis on three different types of RailTech system architectures. Finally, this work outlines the basic building blocks of real–time fault diagnostics in terms of a set of system verification algorithms: System Verification Algorithm-Control [SVA-C], System Verification Algorithm-Resources [SVA-R], System Verification Algorithm-Data [SVA-D], Fault Tree Analytics [SVA-FTA], FME analytics [SVA-FMEA] and TFPG Analytics [SVA-TFPGA].
Keywords : RailTech, Driver Advice System, Real-time fault diagnostics, Fault tree analysis, FMEA, Time Propagation Failure Graph (TFPG), Control flow, Resource flow, Data flow

✦ Table of Contents

In this work, RailTech is analyzed based on literature reviews on block chain, rail safety, driver advice systems and real-time fault diagnostics from the perspectives of management information systems (MIS) [1-30] and also summer training experience at Railways as part of graduation programme in electrical engineering. The contributions and organization of the work are as follows. Section 1 explains the motivation of the problem. Section 2 analyzes rail safety and security through ‘7-S’ deep analytics : scope (S1), system (S2), structure (S3), strategy (S4), security(S5), staff-resources (S6) and skill-style-support (S7). Section 3 outlines the basic building blocks of real–time fault diagnostics in terms of a set of system verification algorithms: System Verification Algorithm-Control [SVA-C], System Verification Algorithm-Resources [SVA-R], System Verification Algorithm-Data [SVA-D], Fault Tree Analytics [SVA-FTA], FME analytics and TFPG Analytics [SVA-TFPGA]. Section 4 highlights technology life-cycle analysis on S-Curve and also shows SWOT analysis on three different types of RailTech system architectures. Section 5 concludes the work.

✦ Subjects

Rail DAS