Building a smart maintenance architecture using smart devices: A web 2.0 based approach

Alexandru, Ana M.; Fiasché, Maurizio; Pinna, Claudia; Taisch, Marco; Fasanotti, Luca; Grasseni, Piergiorgio

doi:10.1109/rtsi.2016.7740632

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…Furthermore, enabling interoperability by being compatible with multiple vendors and protocols is also cited as a requirement for all these types of communication (Priller et al, 2014;Chen et al, 2018;Liang et al, 2020). When communication is not initially possible for a device, it is often enabled using a gateway device (Alexandru et al, 2016;Richter et al, 2019;Scholtz et al, 2018).…”

Section: Data Communicationmentioning

confidence: 99%

“…Only four of the analyzed works explicitly study SRM in the context of reactive maintenance. Alexandru et al (2016) generate smartphone notifications when a machine's programmable logic controller (PLC) triggers an alarm. Ramani et al (2016) and Deroussi et al (2018) use SRM to generate notifications that are sent to operators when a machine failure is detected.…”

Section: Reactive Maintenancementioning

confidence: 99%

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Smart retrofitting in maintenance: a systematic literature review

2022

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The last decade saw the rise of digitalization and data-supported decision making in the manufacturing industry: the Fourth Industrial Revolution. This trend, also known as Industry 4.0, allows manufacturing enterprises to discover manufacturing uncertainties and measure their real manufacturing capability. One of the ways in which Industry 4.0 trends have been exploited is in the improvement of maintenance, which went from following planning-focused paradigms to more proactive-focused stances. Enabling the Industry 4.0 vision for maintenance purposes has historically required companies to either replace or upgrade their existing legacy devices. It is through the latter course of action that Smart retrofitting in maintenance (SRM) intends to bring value to enterprises. This work aims to present a systematic literature review on SRM, utilizing the oft-cited PRISMA methodology. Through this analysis, a definition of SRM that reflects the current state of the art is proposed. Furthermore, the research in SRM applied in the context of different maintenance strategies is assessed (i.e. reactive, planned, proactive and strategic maintenance), and the most common drivers and challenges in SRM are presented. Finally, a roadmap for the implementation of SRM is proposed. The analysis of the SRM literature reveals that there are important research opportunities in the exploitation of SRM for strategic maintenance and asset management. The authors hope that this document leads to the consolidation of a new research area that aims to add value to maintenance in enterprises through the application of smart retrofitting in preexisting legacy devices.

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Section: Data Communicationmentioning

confidence: 99%

Section: Reactive Maintenancementioning

confidence: 99%

Smart retrofitting in maintenance: a systematic literature review

2022

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“…17 Most of the smart city deployments use smart web applications for industrial process maintenance operations. 18 Other complex ecosystems explore smart society paradigms such as in mobile application and smart city orientation, 19 smart garbage collection in urban settings, 20 smart home infrastructure, 21 smart grid architecture, and automation. 22,23 Deeper contributions in cyber-physical social systems (CPSS) have been studied.…”

Section: Related Workmentioning

confidence: 99%

Cyber‐physical network architecture for data stream provisioning in complex ecosystems

Okafor

Ndinechi

Misra

2021

Trans Emerging Tel Tech

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Intelligent fog cyber‐physical social systems (iFog CPSS) is a novel smart city project that uses intrinsic processes to automate microservices such as edge‐to‐fog or fog‐to‐cloud monitoring of complex real‐time activities. This article presents a dynamic cyber‐physical architecture that leverages iFog layers to map location‐based services (LBS) on a spine‐leaf datacenter clos topology. Individual edge clusters are connected to the edge‐fog layer, which communicates with iFog gateways for processing streams' requests. Use‐case application of artificial intelligence (AI) in vehicular ad‐hoc networks (VANETs) is introduced for data stream provisioning. In the validation study, a secure docker‐based iFog CPS experiment is carried out using traffic trace files from C++ modeller. iFog spine‐leaf architecture for fog‐computing and cloud‐computing are compared using two key metrics. For traffic workload utilization, the results show that 83.33% of the traffic workload is utilized at the Fog layer while 16.67% is consumed in the cloud layer. For latency profile, the results indicate that Fog and cloud streams had 20.31% and 77.69%, respectively. In terms of iFog VANET spine‐leaf congestion control, three distinct algorithms are studied, namely the proposed linear routing algorithm (LRA), LEACH, and collection tree protocol (CTP). In each case, the resource utilization for VANET gave 34.45%, 32.18%, and 33.37%, respectively. Latency response gave 11.76%, 82.35%, and 5.89%, respectively. Also, the throughput scenario offered 19.61%, 39.22%, and 41.17%, respectively. Consequently, the iFog scenario offers satisfactory LBS provisioning for VANETs clusters.

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“…In the past, maintenance used to be considered difficult to conduct, however, with recent technological advances, it is no longer an issue [3]. An example of such an advancement includes the concept of IoT technology where people, processes, and things are connected [4].…”

Section: Introductionmentioning

confidence: 99%

IoT Based Smart City Bus Stops

et al. 2019

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The advent of smart sensors, single system-on-chip computing devices, Internet of Things (IoT), and cloud computing is facilitating the design and development of smart devices and services. These include smart meters, smart street lightings, smart gas stations, smart parking lots, and smart bus stops. Countries in the Gulf region have hot and humid weather around 6–7 months of the year, which might lead to uncomfortable conditions for public commuters. Transportation authorities have made some major enhancements to existing bus stops by installing air-conditioning units, but without any remote monitoring and control features. This paper proposes a smart IoT-based environmentally - friendly enhanced design for existing bus stop services in the United Arab Emirates. The objective of the proposed design was to optimize energy consumption through estimating bus stop occupancy, remotely monitor air conditioning and lights, automatically report utility breakdowns, and measure the air pollution around the area. In order to accomplish this, bus stops will be equipped with a WiFi-Based standalone microcontroller connected to sensors and actuators. The microcontroller transmits the sensor readings to a real-time database hosted in the cloud and incorporates a mobile app that notifies operators or maintenance personnel in the case of abnormal readings or breakdowns. The mobile app encompasses a map interface enabling operators to remotely monitor the conditions of bus stops such as the temperature, humidity, estimated occupancy, and air pollution levels. In addition to presenting the system’s architecture and detailed design, a system prototype is built to test and validate the proposed solution.

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Building a smart maintenance architecture using smart devices: A web 2.0 based approach

Cited by 5 publications

References 14 publications

Smart retrofitting in maintenance: a systematic literature review

Smart retrofitting in maintenance: a systematic literature review

Cyber‐physical network architecture for data stream provisioning in complex ecosystems

IoT Based Smart City Bus Stops

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