Human Machine Interfaces Based on Open Source Web-Platform and OPC UA

Caiza, Gustavo; Núñez, Alejandra; García, Carlos A.; García, Marcelo V.

doi:10.1016/j.promfg.2020.02.089

Cited by 13 publications

(6 citation statements)

References 10 publications

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“…To design this solution, it is advantageous to use the industry standard OPC UA, which ensures the compatibility and variability of the proposed equipment for use in the industry. One level of the OPC UA standard involves a description of the function of the device as a final-state machine [27].…”

Section: Methodsmentioning

confidence: 99%

IIoT Device Prototype Design Using State Machine According to OPC UA

et al. 2022

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Section: Methodsmentioning

confidence: 99%

IIoT Device Prototype Design Using State Machine According to OPC UA

et al. 2022

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“…In addition to addressing the challenges related to information presentation and user understanding in energy-saving applications, it is imperative to consider the ergonomic design of UIs. Ergonomic design principles, including cognitive ergonomics, are vital in optimizing UX, UI, UCD, and cognitive performance [67][68][69].…”

Section: Ergonomic Design Principlesmentioning

confidence: 99%

Sustainability at Home: The Development of an Efficient Framework for Home Energy-Saving Applications

Tongsubanan,

Kasemsarn

2023

Designs

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Energy consumption is increasing due to the rise in the world population, industrialization, and urbanization, particularly in the residential sector, attributed to a lack of user-friendly tools. This study seeks to create a research framework and wireframe for home energy-saving applications. A systematic literature review (SLR) was conducted using the VOSviewer software version 1.6.18 tool to pinpoint the research problems. Three key research problems were identified: Inadequate information presentation for both experts and non-experts, insufficient consideration for middle-aged and elderly users, and difficulties in interpreting graphics or images on the application’s display screens. This qualitative research involved three rounds of co-creation activities with nine experts and nine non-experts to identify major problems and preliminary solutions. As a result, two key issues were addressed from the qualitative data: The problem of area calculation, resolved by simplifying data entry processes, and the issue of material selection within homes, improved by incorporating illustrative images with concise, easily understandable descriptions. The outcome of this research is a framework and wireframe that lays the groundwork for developing user-friendly applications that promote sustainable behaviors in residential energy usage. This research contributes valuable guidelines for developers and stakeholders to create more efficient and user-friendly applications, thus promoting environmental action and sustainable practices in residential settings.

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“…Extensive and intensive research has shown that on the one hand, humans in shop-floor management environments in I4.0, have a holistic problem-solving capability where several brain areas are activated for problem solving [ 44 , 45 , 46 ], however humans have a limit to the cognitive load they can compute that affects their performance [ 47 , 48 ]. On the other hand, with the advent of artificial intelligence, machines are increasingly capable of performing a massive processing of information that can make up for human deficiencies: one approach is to use the machine, having greater computational capacity to reduce the cognitive load of humans [ 49 , 50 , 51 ], another approach has been to create a semantic framework that allows for machine recommendations for human problem-solving related to manufacturing tasks [ 52 , 53 ], while other scholars have proposed an open source web-based protocol to enhance inter-operability between human and machine assets [ 54 ]. The problem with all these proposals can be summarized in the fact that they try to adapt either the machine to man or vice versa, and as a natural consequence, they obviate a symbiosis between both forms of information computation.…”

Section: State Of the Artmentioning

confidence: 99%

Human–Machine Integration in Processes within Industry 4.0 Management

Villalba-Díez

Ordieres-Meré

2021

Sensors

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The aim of this work is to use IIoT technology and advanced data processing to promote integration strategies between these elements to achieve a better understanding of the processing of information and thus increase the integrability of the human–machine binomial, enabling appropriate management strategies. Therefore, the major objective of this paper is to evaluate how human–machine integration helps to explain the variability associated with value creation processes. It will be carried out through an action research methodology in two different case studies covering different sectors and having different complexity levels. By covering cases from different sectors and involving different value stream architectures, with different levels of human influence and organisational requirements, it will be possible to assess the transparency increases reached as well as the benefits of analysing processes with higher level of integration between them.

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Human Machine Interfaces Based on Open Source Web-Platform and OPC UA

Cited by 13 publications

References 10 publications

IIoT Device Prototype Design Using State Machine According to OPC UA

IIoT Device Prototype Design Using State Machine According to OPC UA

Sustainability at Home: The Development of an Efficient Framework for Home Energy-Saving Applications

Human–Machine Integration in Processes within Industry 4.0 Management

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