Wireless Remote Monitoring of Toxic Gases in Shipbuilding

Perez-Garrido, Carlos; González-Castaño, Francisco J.; Chaves-Díeguez, David; Rodríguez-Hernández, Pedro S.

doi:10.3390/s140202981

Cited by 22 publications

(13 citation statements)

References 12 publications

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“…Sensor networks have also been proposed for monitoring different construction tasks [13]. For instance, a practical example of a real-time monitoring system for the concentration of CO is described in [14].…”

Section: Related Workmentioning

confidence: 99%

Smart Pipe System for a Shipyard 4.0

Fraga‐Lamas

Noceda-Davila

Fernández‐Caramés

et al. 2016

Sensors

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As a result of the progressive implantation of the Industry 4.0 paradigm, many industries are experimenting a revolution that shipyards cannot ignore. Therefore, the application of the principles of Industry 4.0 to shipyards are leading to the creation of Shipyards 4.0. Due to this, Navantia, one of the 10 largest shipbuilders in the world, is updating its whole inner workings to keep up with the near-future challenges that a Shipyard 4.0 will have to face. Such challenges can be divided into three groups: the vertical integration of production systems, the horizontal integration of a new generation of value creation networks, and the re-engineering of the entire production chain, making changes that affect the entire life cycle of each piece of a ship. Pipes, which exist in a huge number and varied typology on a ship, are one of the key pieces, and its monitoring constitutes a prospective cyber-physical system. Their improved identification, traceability, and indoor location, from production and through their life, can enhance shipyard productivity and safety. In order to perform such tasks, this article first conducts a thorough analysis of the shipyard environment. From this analysis, the essential hardware and software technical requirements are determined. Next, the concept of smart pipe is presented and defined as an object able to transmit signals periodically that allows for providing enhanced services in a shipyard. In order to build a smart pipe system, different technologies are selected and evaluated, concluding that passive and active RFID (Radio Frequency Identification) are currently the most appropriate technologies to create it. Furthermore, some promising indoor positioning results obtained in a pipe workshop are presented, showing that multi-antenna algorithms and Kalman filtering can help to stabilize Received Signal Strength (RSS) and improve the overall accuracy of the system.

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Section: Related Workmentioning

confidence: 99%

Smart Pipe System for a Shipyard 4.0

Fraga‐Lamas

Noceda-Davila

Fernández‐Caramés

et al. 2016

Sensors

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“…In the case of shipbuilding, some authors proposed systems with the objective of keeping traceability of people and of diverse elements present in shipyards [ 21 ]. For instance, sensor networks have been introduced for monitoring different construction tasks [ 22 , 23 ]. Other authors [ 24 ] propose a Bluetooth system for positioning shipyard workers.…”

Section: Related Workmentioning

confidence: 99%

A Fog Computing Based Cyber-Physical System for the Automation of Pipe-Related Tasks in the Industry 4.0 Shipyard

Fernández‐Caramés

Fraga‐Lamas

Suárez-Albela

et al. 2018

Sensors

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Pipes are one of the key elements in the construction of ships, which usually contain between 15,000 and 40,000 of them. This huge number, as well as the variety of processes that may be performed on a pipe, require rigorous identification, quality assessment and traceability. Traditionally, such tasks have been carried out by using manual procedures and following documentation on paper, which slows down the production processes and reduces the output of a pipe workshop. This article presents a system that allows for identifying and tracking the pipes of a ship through their construction cycle. For such a purpose, a fog computing architecture is proposed to extend cloud computing to the edge of the shipyard network. The system has been developed jointly by Navantia, one of the largest shipbuilders in the world, and the University of A Coruña (Spain), through a project that makes use of some of the latest Industry 4.0 technologies. Specifically, a Cyber-Physical System (CPS) is described, which uses active Radio Frequency Identification (RFID) tags to track pipes and detect relevant events. Furthermore, the CPS has been integrated and tested in conjunction with Siemens’ Manufacturing Execution System (MES) (Simatic IT). The experiments performed on the CPS show that, in the selected real-world scenarios, fog gateways respond faster than the tested cloud server, being such gateways are also able to process successfully more samples under high-load situations. In addition, under regular loads, fog gateways react between five and 481 times faster than the alternative cloud approach.

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“…While many studies have looked into solutions ranging from the use of alternative power sources, that is, solar energy [13], other studies have centered on the design of power-aware protocol mechanisms [14,15]. With the main goal of improving the overall network operation, fog computing has emerged to extend the cloud computing paradigm to the edge of the network [16].…”

Section: Related Workmentioning

confidence: 99%

FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms

et al. 2018

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Over the past few years, we have witnessed the widespread deployment of wireless sensor networks and distributed data management facilities: two main building blocks of the Internet of things (IoT) technology. Due to the spectacular increase on the demand for novel information services, the IoT-based infrastructures are more and more characterized by their geographical sparsity and increasing demands giving rise to the need of moving from a cloud to a fog model: a novel deployment paradigm characterized by the provisioning of elastic resources geographically located as close as possible to the end user. Despite the large number of wireless sensor networks already available in the market, there are still many issues to be addressed on the design and deployment of robust network platforms capable of meeting the demand and quality of fog-based systems. In this paper, we undertake the design and development of a wireless sensor node for fog computing platforms addressing two of the main issues towards the development and deployment of robust communication services, namely, energy consumption and network resilience provisioning. Our design is guided by examining the relevant macroarchitecture features and operational constraints to be faced by the network platform. We based our solution on the integration of network hardware platforms already available on the market supplemented by smart power management and network resilience mechanisms.

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Wireless Remote Monitoring of Toxic Gases in Shipbuilding

Cited by 22 publications

References 12 publications

Smart Pipe System for a Shipyard 4.0

Smart Pipe System for a Shipyard 4.0

A Fog Computing Based Cyber-Physical System for the Automation of Pipe-Related Tasks in the Industry 4.0 Shipyard

FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms

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