ArticleSensors (Basel, Switzerland)2018
A Fog Computing Based Cyber-Physical System for the Automation of Pipe-Related Tasks in the Industry 4.0 Shipyard.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Industry 4.0: A Proposal of Paradigm Organization Schemes from a Systematic Literature Review.Sensors (Basel, Switzerland) · 2021Pooled it
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- Sustainability in the Aerospace, Naval, and Automotive Supply Chain 4.0: Descriptive Review.Materials (Basel, Switzerland) · 2020Review
- Personalization of the MES System to the Needs of Highly Variable Production.Sensors (Basel, Switzerland) · 2020Article
- The Use of the Blockchain Technology and Digital Watermarking to Provide Data Authenticityon a Mining Enterprise.Sensors (Basel, Switzerland) · 2020Article
- Design of a Hyper-Redundant Robot and Teleoperation Using Mixed Reality for Inspection Tasks.Sensors (Basel, Switzerland) · 2020Article
- A Smart Autonomous Time- and Frequency-Domain Analysis Current Sensor-Based Power Meter Prototype Developed over Fog-Cloud Analytics for Demand-Side Management.Sensors (Basel, Switzerland) · 2019Article
- Nanosystems, Edge Computing, and the Next Generation Computing Systems.Sensors (Basel, Switzerland) · 2019Review
- Enabling the Internet of Mobile Crowdsourcing Health Things: A Mobile Fog Computing, Blockchain and IoT Based Continuous Glucose Monitoring System for Diabetes Mellitus Research and Care.Sensors (Basel, Switzerland) · 2019Article
- Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications.Sensors (Basel, Switzerland) · 2019Article
- Measurement and Characterization of Electromagnetic Noise in Edge Computing Networks for the Industrial Internet of Things.Sensors (Basel, Switzerland) · 2019Article
- Towards an Autonomous Industry 4.0 Warehouse: A UAV and Blockchain-Based System for Inventory and Traceability Applications in Big Data-Driven Supply Chain Management.Sensors (Basel, Switzerland) · 2019Article
- A Practical Evaluation on RSA and ECC-Based Cipher Suites for IoT High-Security Energy-Efficient Fog and Mist Computing Devices.Sensors (Basel, Switzerland) · 2018Article
- Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes.Sensors (Basel, Switzerland) · 2018Article
- Adaptive Computing Optimization in Software-Defined Network-Based Industrial Internet of Things with Fog Computing.Sensors (Basel, Switzerland) · 2018Article
- A Cost-Effective IoT System for Monitoring Indoor Radon Gas Concentration.Sensors (Basel, Switzerland) · 2018Article
- A Plug-and-Play Human-Centered Virtual TEDS Architecture for the Web of Things.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.