Towards the Selection of Optimum Alarms System in Leading Industry Automation Software

Tufail, Hanny; Anwar, Muhammad Waseem; Qasim, Iqra; Azam, Farooque

doi:10.1109/icitm.2019.8710731

Cited by 3 publications

(5 citation statements)

References 14 publications

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“…Smartphones and mobile devices can provide a portable remote access of production plants to the operating engineers [20]. They can remotely silence an alarm or send commands to the industrial process [24]. With the increasing trend of mobile devices in daily lives [22], same sort of UIs is now demanded in industrial control systems as well.…”

Section: ) Mobile Based Hmi Approachesmentioning

confidence: 99%

A Model-Driven Mobile HMI Framework (MMHF) for Industrial Control Systems

et al. 2020

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With the advent of software technologies, over a period of time, the Industrial Control Systems (ICSs) have grown exponentially. Whereas, almost all ICSs comprise Human Machine Interfaces (HMIs), which are the key component for monitoring and controlling complex industrial systems. For decades, traditional HMIs with simple User Interfaces (UIs) remained operational to minimize the complexities and resulting operational costs. However, due to the emergence of smartphone technologies, the perception about user interfaces has been transformed significantly and users now demand same sort of experience with industrial HMIs, as well. There are few industrial solutions, like, ICONICS GraphWorX to support the development of mobile HMI screens. However, such proprietary solutions are quite expensive. Furthermore, the underlying development approaches and source codes are not accessible in public domain. On the other hand, the state-of-the-art approaches for the development of native mobile HMI screens are hard to find in the literature. Consequently, there is dire need of a cost-effective, easy to use, open source framework for the development of native mobile HMI screens. In order to achieve this goal, here we propose, a Model-driven Mobile HMI Framework (MMHF). MMHF comprises, a Unified Modeling Language (UML) Profile for Mobile HMI (UMLPMH) for modeling of HMI screens. MMHF also includes, an open source transformation engine and a Model Driven Mobile-based HMI Code Generator (MDMHCG) to automatically transform UMLPMH models into target native mobile HMI implementations. Consequently, MMHF enables simpler way to design the HMI screens using UMLPMH and generates native Mobile HMI Screen implementations automatically using MDMHCG. The empirical evidence of MMHF is demonstrated through three (3) benchmark case studies, which prove that the MMHF is a feasible, cost effective and scalable solution to develop native HMI screens for wide-ranging ICSs. INDEX TERMS Human machine interface, mobile HMI, model driven engineering, unified modeling language, industrial control system, industry automation, Internet of Things (IoT).

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Section: ) Mobile Based Hmi Approachesmentioning

confidence: 99%

A Model-Driven Mobile HMI Framework (MMHF) for Industrial Control Systems

et al. 2020

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“…Particularly, there are four major types of alarms i.e. Limit, Deviation, Rate-of-Change (RoC) and Digital Alarms [37]. In this regard, alarm server should be able to support all four types of alarms.…”

Section: Figure 2 Architecture Of Alarm System In Industrial Controlmentioning

confidence: 99%

“…However, such studies are unable to simultaneously support both iOS and Android platforms. On the other hand, there exist complete and reliable alarms solutions in industry automation suites [37] (e.g. Genesis64 etc.).…”

Section: Figure 2 Architecture Of Alarm System In Industrial Controlmentioning

confidence: 99%

“…Particularly, we selected Genesis64, SIMATIC WinCC, LabView Wonderware and Open Automation Software (OAS) from ICONICS, Siemens, National Instruments, AVEVA and OAS vendors respectively. It is important to note that we performed the detailed comparison of aforementioned IAS in [37]. Here, we are only summarizing the key findings as given in Table I.…”

Section: B Process Control Alarms In Industry Automation Software (Ias)mentioning

confidence: 99%

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

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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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“…In order to achieve the deep integration of IT (Information Technology) and OT (Operational Technology), various Linux operating systems have been widely applied in critical industrial devices, for example, an open-source industrial IoT gateway is designed by exploiting the micro-service of Docker, whose software solutions are mainly based on Linux [8]; a software CNC (Computerized Numerical Control) controller which runs the Linux real-time operating system is developed to implement the EPL (Ethernet Powerlink) stack as a real-time kernel module [9]; SIMATIC WinCC which is widely used in today's industrial control systems can also provide the cross-platform support for Linux [10]. As a result, the vulnerabilities of Linux operating system become a subject worthy of special attention, and some potential security threats which aim at damaging or infecting the Linux operating system are coming to the surface.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Self-defense Approach Based on Customized Netlink Connection for Industrial Linux-Based Devices

Wan

Yao

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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With the deep integration of IT (Information Technology) and OT (Operational Technology), various Linux operating systems have been successfully applied in critical industrial devices, such as Linux-based IIoT (Industrial Internet of Things) controllers or gateways, and the vulnerabilities of these systems may become a new breakthrough for the organized and high-intensity attacks. In order to prevent malwares from corrupting or disabling industrial Linux-based devices, this paper proposes a novel real-time self-defense approach, which can be easily developed without redesigning the basic software and hardware platform. By establishing the customized Netlink connection between kernel mode and user mode, this approach can monitor all application processes, and block each new malicious application process, which cannot conform to the trusted white-listing rules. All experimental results show that the proposed approach has a comparative advantage to effectively detect and prevent the malware-related attacks, and provides a self-defense function for industrial Linux-based devices, which meets their availability due to the millisecond resolution.

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Towards the Selection of Optimum Alarms System in Leading Industry Automation Software

Cited by 3 publications

References 14 publications

A Model-Driven Mobile HMI Framework (MMHF) for Industrial Control Systems

A Model-Driven Mobile HMI Framework (MMHF) for Industrial Control Systems

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

Real-Time Self-defense Approach Based on Customized Netlink Connection for Industrial Linux-Based Devices

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