A Concept for Integration of Voice Assistant and Modular Cyber-Physical Production System

Afanasev, Maxim Ya.; Fedosov, Yuri V.; Andreev, Yu.S.; Krylova, Anastasiya A.; Shorokhov, Sergey A.; Zimenko, Kseniia V.

doi:10.1109/indin41052.2019.8972015

Cited by 11 publications

(4 citation statements)

References 8 publications

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“…Enabling interaction with a computer system in the most natural way improved the quality of experience for consumers. As a result, speech technologies are used in many different domains, such as smart homes [6], industrial facilities [7], smart vehicles [8], public institutions, etc. Very important is the benefit for people with complex communication needs.…”

Section: Related Workmentioning

confidence: 99%

N-gram Based Croatian Language Network: Application in a Smart Environment

Soic

Vuković

2022

JCOMSS

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In the field of natural language processing, language networks represent a method for observing linguistic units and their interactions in different linguistic contexts. This paper uses the previously presented Croatian language network for building a solution capable of generating spoken notifications in Croatian language. The novelty of this paper is that it proposes an approach for generating spoken notifications in smart environments by combining specialized services that enable interaction with the environment and human users. The process employed for generating spoken notifications is described in detail. Also, a novel contribution of this paper is the case-study evaluation of the proposed approach in a smart home environment.

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Section: Related Workmentioning

confidence: 99%

N-gram Based Croatian Language Network: Application in a Smart Environment

Soic

Vuković

2022

JCOMSS

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“…This work is oriented towards improving the computer-human interaction, but not in an industrial environment. Studies and research have been conducted on applying voice assistants in the industrial area [2]. Talking about Industry 4.0 and its technologies allows thinking about a new form of interaction between humans and machines within an industrial environment, as is the case of intelligent voice assistants, where user voice commands can be recognized, understood, and processed to give a response based on a request [3,4], allowing us to achieve a more collaborative and familiar environment, since more natural communication typical of human beings will allow more efficient and understandable interactions.…”

Section: Introductionmentioning

confidence: 99%

“…In industry, the development of these applications is increasing the trend to eliminate screens and keyboards, allowing the operator to have both hands free to engage in other activities while giving orders to the production system [4,6]. In [2], the authors propose an industrial voice assistant based in Raspberry Pi3 integrated into an industrial modular architecture system to compare results achieved from the actual process with a virtual digital twin of the system. Still, in this case, the proposed solution only works in a noise-free environment.…”

Section: Introductionmentioning

confidence: 99%

Development of an Industrial Safety System Based on Voice Assistant

Ayala Taco,

Ibarra Jácome,

Ayala Pico

et al. 2023

Applied Sciences

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Currently, there are limitations in the human–machine interfaces (HMIs) used in industry, either due to the characteristics of users’ cognitive abilities or interfaces, which hinder communication and interaction between humans and equipment. For this reason, this work presents an alternative interaction model based on a voice assistant, Alexa, which promotes more natural, intuitive, direct, and understandable communication. The purpose of this work is the development of an industrial safety system for a controlled electric motor based on Alexa voice assistant, which allows the monitoring of its operating parameters, such as phase current, housing temperature, and rotor vibration, as well as making it possible to control ignition and shut down and change the rotation of the motor with a prior password, as a safety measure. Commercial smart devices and Arduino-compatible modules were used to achieve this, providing them with the Internet of Things (IoT) feature. In addition, several software platforms, such as Blynk, Tuya Smart, Node Red, and Voiceflow, are used to perform data transmission, device management, and programming of the Alexa skill, oriented to the execution of the security and run system. This shows the potential capacity of voice assistants in the industry to deliver information more naturally to humans and obtain optimal notifications. However, problems were evidenced, such as the influence of noise in the environment when communicating with the assistant, the vocalization of words, low voice tones, and accents typical of the language, that will increase the security level of the system and prevent potential identity theft.

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“…Recently studies have investigated CPPSs in the most different contexts, such as digital twin (Zhang et al, 2019;Zang et al, 2020;Liu et al, 2020;Ait-Alla et al, 2019), internet of things (Berlak et al, 2020;Stock et al, 2020), cloud computing (Mourtizis & Vlachou, 2016;Mourad et al, 2020;Borangiu et al, 2020), voice assistant (Afanasev et al, 2019) and shop floor (Romero-Silva & Hernández-López, 2020;Govender et al, 2019;Torres et al, 2019;Rocha et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Cyber-physical production system assessment within the manufacturing industries in the Amazon

Coelho

Oliveira

Dessimoni

et al. 2022

Int. J. Prod. Manag. Eng.

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Cyber-physical production systems (CPPS) represent a relevant aspect related to industry 4.0 and the advances promoted by the digitization and use of artificial intelligence in the production environment in the search for the development of smart factories. This study aims to assess the maturity level of cyber-physical production system (CPPS) within manufacturing industries in the Amazon. The research uses a quali-quantitative approach to analyze the problem by conducting exploratory case studies (indepth case) and the research framework used aimed to evaluate and measure the CPPS within three manufacturing industries in the Amazon (n = 3) to measure their maturity. Findings reveal a positive relationship between the type of production system adopted by the company, the level of automation, and the maturity of the CPPS. The proposed methodology can assist other companies in the development of the technological strategy, supporting the digital transformation process in order to obtain competitive advantage. The study contributes by addressing the topic of cyber-physical production systems from the point of view of operations management and strategy.

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A Concept for Integration of Voice Assistant and Modular Cyber-Physical Production System

Cited by 11 publications

References 8 publications

N-gram Based Croatian Language Network: Application in a Smart Environment

N-gram Based Croatian Language Network: Application in a Smart Environment

Development of an Industrial Safety System Based on Voice Assistant

Cyber-physical production system assessment within the manufacturing industries in the Amazon

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