IoT-based integration of IEC 61131 industrial automation systems: The case of UML4IoT

Christoulakis, Foivos; Thramboulidis, Kleanthis

doi:10.1109/isie.2016.7744911

Cited by 12 publications

(7 citation statements)

References 17 publications

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“…This is important as IoT research has so far mainly focused on technical and engineering challenges (Atzori et al, 2010;Kortuem et al, 2010), simple scenarios, and individual smart things (Oberländer et al, 2018;Püschel et al, 2016). The few works that allow for the modelling of IoTenabled scenarios are technical and restricted to specific domains (eg, Christoulakis & Thramboulidis, 2016;De et al, 2011;Meyer et al, 2013;Xu et al, 2012). For the same reasons, the DSML increases service-related knowledge.…”

Section: Discussionmentioning

confidence: 99%

“…As has become evident during our study and as we will justify in the evaluation section based on selected conceptual modelling approaches, existing works neither fully account for the characteristics of SSS nor for concepts enabled by the IoT. The same holds for modelling approaches from the IoT domain, most of which focus on technical details, are restricted to distinct domains, or can only handle small‐scale scenarios (Christoulakis & Thramboulidis, ; De, Barnaghi, Bauer, & Meissner, ; Meyer, Ruppen, & Magerkurth, ; Oberländer et al, ; Xu, Xu, Li, Lv, & Liu, ). Although the value of these approaches is indisputable, we do not know of any approach located at the intersection of the service and the IoT domains.…”

Section: Introductionmentioning

confidence: 95%

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Capturing smart service systems: Development of a domain‐specific modelling language

Huber

Püschel

Röglinger

2019

Information Systems Journal

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Over the last years, the nature of service has changed owing to conceptual advances and developments in information technology. These developments have given rise to novel types of service and smart service systems (SSS), ie, resource configurations capable of learning, dynamic adaptation, and decision making. Currently, the internet of things (IoT) is turning physical objects into active smart things, bridging the gap between the physical and the digital world. Smart things advance SSS as they observe the physical environment, access local data, immerse into individuals' everyday lives and organizational routines. In line with the emergent nature of both phenomena, the impact of the IoT on SSS yet needs to be explored. Building the basis for explanatory and design‐led research and for the analysis and design of SSS, a means for the conceptual modelling of SSS that accounts for novel IoT‐enabled concepts is in high need. Hence, we designed, demonstrated, and evaluated a domain‐specific modelling language (DSML) for SSS. We evaluated the DSML by using it in the modelling of real‐world scenarios from all functional IoT domains, by submitting it to the scrutiny of industry experts, by discussing it against generic DSML requirements, and by analysing to what extent it meets domain‐specific design objectives compared with competing artefacts. To demonstrate the DSML, we included a complex real‐world scenario centred around the Nest Learning Thermostat.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 95%

Capturing smart service systems: Development of a domain‐specific modelling language

Huber

Püschel

Röglinger

2019

Information Systems Journal

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“…However, very few improved versions of the UML and SysML have been developed in the context of Industry 4.0. Examples include UML for IoT (UML4IoT) (Christoulakis and Thramboulidis, 2016) and PrivacyUML (PrivUML), the latter of which is related to cybersecurity and data protection domain (Mokhtari et al, 2019). SysML also has a potential that is not yet well studied in the context of Industry 4.0.…”

Section: Uml and Sysml Standardsmentioning

confidence: 99%

GRMI4.0: a guide for representing and modeling Industry 4.0 business processes

Mosser

Pellerin²,

Bourgault³

et al. 2022

BPMJ

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PurposeThe purpose of this paper is to propose a new business process representation adapted to the needs of Industry 4.0 to facilitate the implementation of technological solutions in the construction sector.Design/methodology/approachThis work is based on the Design Research Methodology approach and includes four phases: (1) a literature review on the main business process modeling standards and their ability to take into account the specificities of Industry 4.0; (2) the identification of the attributes to be considered to model Industry 4.0 processes; (3) the development of a mapping model for Industry 4.0; and (4) the validation of the model using a case study from the construction sector.FindingsTo the authors’ knowledge, current business process modeling standards do not effectively represent business processes in the context of Industry 4.0.Originality/valueThe proposed model can represent not only the 4.0 solutions that can be implemented in the construction sector, particularly from a technology and data perspective but also measures, with the help of performance indicators, the impacts of successive process changes in terms of skills, cost and time for a true 4.0 transformation.

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“…Pabrikasi alat pemantauan juga didukung oleh perkembangan teknologi informasi melalui kehadiran inovasi teknologi, salah satunya berupa Internet of thing (IoT) [1]. Saat ini IoT telah diimlementasi pada bidang pertanian [2], kesehatan [3], monitoring parkir [4], dan industry [5] dengan dukungan teknologi IoT untuk pemantauan [6] dan pengkontrolan [7]. Penelitian terkait dengan distribusi air telah dilakukan sebelumnya, seperti sistem pemantauan air secara realtime berbasis web [8] dengan penempatan sensor MPX5700AP untuk pengukuran tekanan air.…”

Section: Pendahuluanunclassified

Sistem Pendistribusian Air Bersih Metode Prabayar Terkendali Mikrokontroler Berbasis IoT

Efrizon

Irmansyah

Nasution

et al. 2021

RESTI

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A number of problems sometimes often arise regarding the flow of clean water from Regional Drinking Water Companies (PDAMs) to customers, such as the flow of water stops suddenly or there is no water at all, so it is necessary to manufacture a prototype system for monitoring the distribution of clean water with a microcontroller-controlled prepaid method. IoT based. The distribution of PDAM water that is channeled to consumers can be monitored online through the Internet network. The objectives of this research are (a) to make a prototype (prototype) of a prepaid clean water distribution system controlled by a microcontroller based on IoT, (b) to program an Arduino IDE-assisted system, and (c) to measure system performance. The research method starts from making a prototype physical form of clean water distribution assisted by a microcontroller, programming the microcontroller and Wi-Fi module, and measuring system performance. The results of measuring system performance are indicated by an error in the ultrasonic sensor reading HC-SR04 that occurs when the water level is low and too high with a maximum measured water level of 95%. The error when measuring the waterflow sensor at the water level is lower than 49% which is influenced by the water speed from the low pressure pump when the water level is below that value. The accuracy level of the waterflow sensor is 96.96% which is based on the sensor measurement results which are compared to the measurement results with a measuring cup. The system can monitor data readings from the waterflow sensor by using the NodeMCU ESP8266 on a web server from Thinkspeak via the smartphone screen. Overall the tool can function well

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IoT-based integration of IEC 61131 industrial automation systems: The case of UML4IoT

Cited by 12 publications

References 17 publications

Capturing smart service systems: Development of a domain‐specific modelling language

Capturing smart service systems: Development of a domain‐specific modelling language

GRMI4.0: a guide for representing and modeling Industry 4.0 business processes

Sistem Pendistribusian Air Bersih Metode Prabayar Terkendali Mikrokontroler Berbasis IoT

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