Process knowledge building an optimized alarm system

Urban, Patnk; Landryová, Lenka

doi:10.1109/carpathiancc.2015.7145143

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…However, such studies are only meant for limited area and their application is not wide-ranging. Furthermore, there are studies [15][16][17][18][19] particularly dealing with the ergonomics of notification for alarm client; to enhance the capabilities of mobile HMI display for alarm notifications. However, such studies are unable to simultaneously support both iOS and Android platforms.…”

Section: Figure 2 Architecture Of Alarm System In Industrial Controlmentioning

confidence: 99%

“…There have been some studies carried out to emphasize the importance of designing an alarm system ergonomically as per the industrial standards. For example, in [15] and [16], the authors debate about designing an alarm system according to EEMUA standards and its configuration as per ISA norms. They analyzed the data from 5 different process systems.…”

Section: A State Of the Art Approachesmentioning

confidence: 99%

“…They analyzed them for their ergonomic design against a checklist of 148 items in 11 design areas like alarm presentation, alarm prioritization, documentation, training etc. Aforementioned studies [15][16][17][18] revealed that certain improvements are required in alarms system to meet the growing demands and standard of modern ICS.…”

Section: A State Of the Art Approachesmentioning

confidence: 99%

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A Model-Driven Alarms Framework (MAF) With Mobile Clients Support for Wide-Ranging Industrial Control Systems

et al. 2020

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An efficient and robust alarms management is an extremely desirable feature to prevent critical failures in modern Industrial Control Systems. Generally, alarm systems are categorized into two major components; i.e., Alarm Server and Alarm Client. Alarm server is responsible to process alarms on real time values, while alarm clients display the generated alarms. With the advent of modern technologies, like, Internet of Thing (IoT), the need for mobile alarm clients has significantly been increased, as alarms need to be displayed on different gadgets instead of traditional big screens. Owing to significance of alarms in the industry, several state-of-the-art approaches have been introduced, suggesting various improvements. However, such approaches are only meant for specific industry and cannot be applied across-the-board. Furthermore, full support for mobile clients is not available. On the other hand, certain industrial software products like, SIMATIC WinCC, Genesis64 provide complete alarm solution including mobile client features, as well. However, such solutions are proprietary with higher costs, i.e., pay per tag model. Considering such limitations, this article proposes a novel Model-driven Alarms Framework (MAF) with mobile clients (Android and iOS) support. Particularly, MAF comprises an Alarm Profile for Industrial Control Systems (APICS) for the modeling of server, mobile clients and configuration requirements of alarms with remarkable simplicity. Furthermore, a complete open source Alarms Profile Transformation Engine (APTE) has been implemented to automatically generate alarm server (Kotlin), native Android (Kotlin) and iOS (Swift) alarm clients from APICS-compliant models. The feasibility of proposed framework is demonstrated through two case studies (flour mill and home automation). The results prove that MAF not only provides complete alarm server solution to generate bulk of alarms simultaneously, but also supports android and iOS alarm clients for efficient visualization. Besides that, MAF is easy to use, cost-effective and can be applied in wide-ranging industrial applications.

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Section: Figure 2 Architecture Of Alarm System In Industrial Controlmentioning

confidence: 99%

Section: A State Of the Art Approachesmentioning

confidence: 99%

Section: A State Of the Art Approachesmentioning

confidence: 99%

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A Model-Driven Alarms Framework (MAF) With Mobile Clients Support for Wide-Ranging Industrial Control Systems

et al. 2020

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Applied methods to detect and prevent vulnerabilities within PLC alarms code

et al. 2022

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Adversaries may target alerting alarms raised by PLCs (Programmable Logic Controllers) to prevent notifying operators of critical conditions, to hide faults, to disrupt operations, to cause damages to ICS (Industrial Control Systems) and surrounding environment, or to lead to financial loss. The paper focuses on exposing vulnerabilities of the ladder logic code that handles the alerting alarm messages and how to mitigate them. A real-time test bed of a PLC alarms code was developed and used to conduct several stealthy attack techniques to suppress or hinder alarms by exploiting code vulnerabilities. A novel ladder logic solution that consists of countermeasures against the introduced attacks was proposed, demonstrated, and tested. The countermeasure techniques, such as scan time and heartbeat techniques, were able to detect and prevent the code vulnerabilities and other abnormalities. The provided countermeasure techniques in this experiment could be applied to any PLC to enhance the validity and security of its PLC alarms code. Article Highlights Four stealthy attack models were introduced to exploit PLC alarms code. They were embedded to skip, delete, fake out, or delay alerting alarms. Real-time countermeasure solutions with different techniques were introduced: scan time code, heartbeat code, and physical plausibility check. They effectively detected and prevented the introduced attack models. PLC alarms Code general abnormalities was validated and detected using scan time techniques. A list of general best code practices for PLC alarms code was introduced to mitigate code vulnerabilities.

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Identification and evaluation of alarm logs from the alarm management system

Urban

Landryová

2016

2016 17th International Carpathian Control Conference (ICCC)

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Process knowledge building an optimized alarm system

Cited by 4 publications

References 2 publications

A Model-Driven Alarms Framework (MAF) With Mobile Clients Support for Wide-Ranging Industrial Control Systems

A Model-Driven Alarms Framework (MAF) With Mobile Clients Support for Wide-Ranging Industrial Control Systems

Applied methods to detect and prevent vulnerabilities within PLC alarms code

Identification and evaluation of alarm logs from the alarm management system

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