Uncertainty-Aware Robustness Assessment of Industrial Elevator Systems

Abstract

Industrial elevator systems are commonly used software systems in our daily lives, which operate in uncertain environments such as unpredictable passenger traffic, uncertain passenger attributes and behaviors, and hardware delays. Understanding and assessing the robustness of such systems under various uncertainties enable system designers to reason about uncertainties, especially those leading to low system robustness, and consequently improve their designs and implementations in terms of handling uncertainties. To this end, we present a comprehensive empirical study conducted with industrial elevator systems provided by our industrial partner Orona, which focuses on assessing the robustness of a dispatcher, i.e., a software component responsible for elevators’ optimal scheduling. In total, we studied 90 industrial dispatchers in our empirical study. Based on the experience gained from the study, we derived an uncertainty-aware robustness assessment method (named UncerRobua ) comprising a set of guidelines on how to conduct the robustness assessment and a newly proposed ranking algorithm, for supporting the robustness assessment of industrial elevator systems against uncertainties.

Exploring Heuristic and Optimization Approaches for Elevator Group Control Systems

“…One paper [4] explores the design of a speed-control system for elevator permanentmagnet synchronous traction motors, integrating SVPWM, direct torque control, and fuzzy adaptive PID to ensure precise motor speed regulation aligned with elevator operation curves, encompassing input-signal, control, drive, and feedback modules. Another study [5] examines industrial elevator systems, prevalent in daily use, operating within uncertain environments influenced by factors such as unpredictable passenger traffic, uncertain passenger attributes and behaviors, and hardware delays, aiming to evaluate and enhance system robustness in addressing uncertainties for improved design and implementation strategies. These research endeavors [5,6] predominantly center on the regulation and governance of elevator systems, delving deeply into their internal mechanisms, encompassing both software and hardware components.…”

“…Another study [5] examines industrial elevator systems, prevalent in daily use, operating within uncertain environments influenced by factors such as unpredictable passenger traffic, uncertain passenger attributes and behaviors, and hardware delays, aiming to evaluate and enhance system robustness in addressing uncertainties for improved design and implementation strategies. These research endeavors [5,6] predominantly center on the regulation and governance of elevator systems, delving deeply into their internal mechanisms, encompassing both software and hardware components. However, these studies have yet to comprehensively examine additional parameters, such as the influence and impact of passengers utilizing these elevator systems.…”

KDDT: Knowledge Distillation-Empowered Digital Twin for Anomaly Detection

“…Cyber-physical Systems (CPSs) play a vital role in Industry 4.0. Various CPSs have been deployed in critical infrastructures, e.g., water treatment plant [34,35] and elevator systems [16,17,36], whose safe operation concerns our daily lives. One such safetycritical CPS is railway systems (RWS).…”