ONTO-PLC: An ontology-driven methodology for converting PLC industrial plants to IoT

Cristani, Matteo; Demrozi, Florenc; Tomazzoli, Claudio

doi:10.1016/j.procs.2018.07.287

Cited by 9 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reference [9] proposed a methodology for converting an automation plant managed by PLCs onto an EFSM control module (EFSM-extended finite state machine) that is driven by single board computers or SoC (system-on-a-chip). The EFSM Control Module can use IoT devices, but in that solution, the functionality (control program) cannot be resolved as a service from the cloud.…”

Section: Virtualisation Of Plcsmentioning

confidence: 99%

The PLC as a Smart Service in Industry 4.0 Production Systems

Langmann

Stiller

2019

Applied Sciences

View full text Add to dashboard Cite

Industrial controls, and in particular, Programmable Logic controllers (PLC) currently form an important technological basis for the automation of industrial processes. Even in the age of industry 4.0 and industrial internet, it can be assumed that these controllers will continue to be required to a considerable extent for the production of tomorrow. However, the controllers must fulfill a range of additional requirements, resulting from the new production conditions. Thereby, the introduction of the service paradigm plays an important role. This paper presents the concept of smart industrial control services (SICS) as a new type of a PLC. As a distributed service-oriented control system in an IP network, a SICS controller can replace the traditional PLC for applications with uncritical timing in terms of Industry 4.0. The SICS are programmed as usual in industry, according to the standard IEC 61131-3, and run in a SICS runtime on a server or in a cloud. The term Smart Service is introduced and the uses of SICS as a smart service, including a clearing system for the creation of new business models based on control as a service, are described. As a result, two different SICS prototype implementations are described and two application examples from manufacturing automation, as well as the evaluation of the real-time features and the engineering of a SICS controller, are discussed in the paper.

show abstract

Section: Virtualisation Of Plcsmentioning

confidence: 99%

The PLC as a Smart Service in Industry 4.0 Production Systems

Langmann

Stiller

2019

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…This work departs from these ideas and goes deeper into the subject of data harmonization, including clustering, when basic terms and concepts are combined based on the similarities they possess and are organised based on their semantic and contextual relationships. The use of ontologies to represent machine behavior through the interrelation of input signals and output controls is also discussed in [25].…”

Section: Related Literaturementioning

confidence: 99%

Semantic Data Management for a Virtual Factory Collaborative Environment

et al. 2019

View full text Add to dashboard Cite

Recent developments in the area of cyber-physical systems (CPSs) and Internet of Things (IoT) are among the drivers for the emergence of the Industry 4.0 concept, setting new requirements for the architecture, technology, and design approaches of modern industrial systems. Industry 4.0 assumes a higher level of intelligence, and thus autonomy of the systems and subsystems, and a larger focus on the analysis of gathered data for further utilization. The Virtual Factory Open Operating System (vf-OS) project is intended to respond to some of these key challenges, in particular for the smart factory application domain. Complementarily, data and knowledge storage and processing are also in the scope of vf-OS. This article introduces the semantic management component of vf-OS, which aims to analyze the interrelations among stored entities, as well as to define the closeness among them to generate meaningful suggestions, which can be later used by other subsystems or operators in a user-friendly way. The semantic managing system makes use of non relational approaches, namely a graph database, which enables data to be represented as graphs for further semantic querying. The developed prototype and an illustrative application case are also presented.

show abstract

“…When it comes to IoT and exchange of data the most important factor is security of the data and it can be improved by studying the middle-ware of the system [13] As well as if system is supposed to be real time the communication system should be exceptional and data [14] transfer should be more effective such as Constrained Application Protocol (CoAP) and Representational State Transfer (REST) For latest PLC modules that are in the market the communication protocol should be easy less complex and accessible [15] such as PROFIBUS or PROFINET…”

Section: Design and Development Of Iot Integrated Plc Based Materials mentioning

confidence: 99%

Design and Development of IoT Integrated PLC Based Material Handling System

Selvakumar¹

2019

IJEAT

View full text Add to dashboard Cite

The industry faces with constant demand of tremendous Production criteria to be met with human workers this production rate is highly likely to fall behind as the time progresses, to solve the problem to obtain continuous production without any interruption, this paper helps understand how a manipulator will work for a very basic operations and how will the industry executive will be able to manage the shop floor. This project aims to show how a PLC is used in a automation and how a PLC based system is integrated with a IoT platform

show abstract

ONTO-PLC: An ontology-driven methodology for converting PLC industrial plants to IoT

Cited by 9 publications

References 11 publications

The PLC as a Smart Service in Industry 4.0 Production Systems

The PLC as a Smart Service in Industry 4.0 Production Systems

Semantic Data Management for a Virtual Factory Collaborative Environment

Design and Development of IoT Integrated PLC Based Material Handling System

Contact Info

Product

Resources

About