Comparison of Code Measures of IEC 61131–3 and 61499 Standards for Typical Automation Applications

Gsellmann, Peter; Melik-Merkumians, Martin; Schitter, Georg

doi:10.1109/etfa.2018.8502464

Cited by 18 publications

(3 citation statements)

References 11 publications

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“…The first one provides the services that enable the exchange of data between resources, while the second one provides communications services that allow the resources of different devices to exchange data between them. In this model, a device can support one or more resources, providing independent execution and control of networks of function blocks [32].…”

Section: Iec-61499 Standardmentioning

confidence: 99%

Flexible robotic teleoperation architecture for intelligent oil fields

Caiza

García

Naranjo

et al. 2020

Heliyon

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Teleoperation virtual platforms allow people to send their skills and capacities into machines located in either relative close (few meters away) or far (different continents) locations. With the use of lightweight protocols, people can remotely control the actions and movements of robots so they can avoid physical interaction with dangerous or risky places. Oil and gas well-pads stations are working zones considered hazardous due to the various chemical substances used in their daily processes. This characteristic makes these places the perfect candidates for the implementation of teleoperation solutions in order to reduce the direct interaction of humans with different chemicals and risky situations. The following investigation focuses on the development of a base teleoperation scheme to perform inspection and maintenance tasks in the inside one of these hydrocarbon facilities. The proposed system aims to generate an easily scalable teleoperation solution using distributed control schemes and a lightweight communication protocol to remotely manipulate a KUKA mobile manipulator. As the first stage of this investigation, the main result focuses on the development of the generic control and communication functions that allow the physical testing of the system using a KUKA YouBOT mobile manipulator and the help of a qualified operator of the station.

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Section: Iec-61499 Standardmentioning

confidence: 99%

Flexible robotic teleoperation architecture for intelligent oil fields

Caiza

García

Naranjo

et al. 2020

Heliyon

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“…The main causes of this learning challenge include a lack of mathematical background and problemsolving skills, as well as an odd lexical structure and sophisticated syntax of the programming language. It is normal for students to lose confidence and motivation when confronted with hurdles such as the programming environment, language syntax knowledge, problem understanding, and debugging [17]. Programming languages are unnatural, requiring a high level of abstraction that is difficult to attain for novice programmers.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Language Syntax on the Complexity of Programs: A Case Study of Java and Python

Munawar

Naveed

2022

IJIST

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Programming is the cornerstone of computer science, yet it is difficult to learn and program. The syntax of a programming language is particularly challenging to comprehend, which makes learning arduous and affects the program's testability. There is currently no literature that definitively gives quantitative evidence about the effect of programming language complex syntax. The main purpose of this article was to examine the effects of programming syntax on the complexity of their source programs. During the study, 298 algorithms were selected and their implementations in Java and Python were analyzed with the cyclomatic complexity matrix. The results of the study show that Python's syntax is less complex than Java's, and thus coding in Python is more comprehensive and less difficult than Java coding. The Mann-Whitney U test was performed on the results of a statistical analysis that showed a significant difference between Java and Python, indicating that the syntax of a programming language has a major impact on program complexity. The novelty of this article lies in the formulation of new knowledge and study patterns that can be used primarily to compare and analyze other programming languages.

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“…Runtime software is event-driven. Code measures have shown [17] that IEC 61499 is more appropriate for sequential controls, but IEC 61131-3 suits better general applications. However, due to insuf�icient support by commonly used tools and runtimes IEC 61499 has not been generally accepted by industry so far [52], although some successful applications particularly in energy sector have been reported (e.g.…”

Section: Introductionmentioning

confidence: 99%

Developing a Multiplatform Control Environment

Rzońca¹,

Sadolewski²,

Stec³

et al. 2019

JAMRIS

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IEC 61131-3 control environment is called multiplatform if source programs can be executed by various processors, beginning from 8-bit microcontrollers up to 32/64bit efficient CPUs. This implies that virtual machine (VM), i.e. a software implemented processor, is used as runtime by the host CPU. The VM executes certain intermediate code into which IEC 61131-3 programs are compiled. Environment of this type called CPDev has been gradually developed by the authors over the last decade, beginning with initial report in this journal in 2008 [47]. However, technical implementations of its functionalities have not been described so far. This involves such matters as intermediate language, parametrization of the compiler and VM, multiproject runtime, translators of graphical languages, device-independent HMI, target platform and communication interfacing, which are presented in compact form in this paper. Some characteristic industrial implementations are indicated.

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Comparison of Code Measures of IEC 61131–3 and 61499 Standards for Typical Automation Applications

Cited by 18 publications

References 11 publications

Flexible robotic teleoperation architecture for intelligent oil fields

Flexible robotic teleoperation architecture for intelligent oil fields

The Impact of Language Syntax on the Complexity of Programs: A Case Study of Java and Python

Developing a Multiplatform Control Environment

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