Cited by 39Indoor and Outdoor Localization TechnologiesRFID technology advancementsElectromagnetic Compatibility and Measurements

RSS stabilization techniques for a real-time passive UHF RFID pipe monitoring system for smart shipyards

Fraga-Lamas, Paula, Fernandez-Carames, Tiago M., Noceda-Davila, Diego, Vilar-Montesinos, Miguel·2017·2017 IEEE International Conference on RFID (RFID)

Abstract

The pipes of a ship, which exist in heterogeneous typology and massive number, are one of the key elements in a shipyard, and their real-time monitoring constitutes a prospective Cyber-Physical System (CPS). Their improved location, from production and through their lifetime, can enhance shipyard productivity and safety. Navantia, one of the ten largest shipbuilders in the world, has improved its pipe workshop thanks to the concept of smart pipe, which is defined as an object able to transmit signals periodically that allows for providing added-value services in a shipyard. In this paper it is evaluated the use of passive UHF RFID (Radio Frequency Identification) for implementing the concept of smart pipe. 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 pipe monitoring system in a real-world scenario.

Integrity signals

Registry

Crossref · 10.1109/rfid.2017.7945603

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • As a result of the combination of the latest advances in electronics, networking, and robotics, it is feasible to develop advanced sensor systems for different sectors and applications: energy efficiency, Industry 4.0, home automation, public safety and defense, precision agriculture or transportation.

    “As a result of the combination of the latest advances in electronics, networking, and robotics, it is feasible to develop advanced sensor systems for different sectors and applications: energy efficiency [32], Industry 4.0 [33,34], home automation [35], public safety and defense [36,37], precision agriculture [38] or transportation [39].”
  • In applications for precision agriculture, smart cities, and Industry 4.0, it is common to deploy IoT nodes and gateways in large areas where a power outlet is not available and electricity has to be harvested to charge the batteries that power every device.

    “in applications for precision agriculture [8], smart cities [9], and Industry 4.0 [10,11], it is common to deploy IoT nodes and gateways in large areas where a power outlet is not available and electricity has to be harvested to charge the batteries that power every device.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Fraga-Lamas, P., Fernandez-Carames, T. M., Noceda-Davila, D., & Vilar-Montesinos, M.
Venue
2017 IEEE International Conference on RFID (RFID)
Publisher
IEEE
Published
2017-05
ISSN
2374-0221 (ISSN-L)
OpenAlex
W2626040877
Cited by
39
References
20
Citations by year
2024: 3 · 2023: 3 · 2022: 2 · 2021: 6 · 2020: 5 · 2019: 7 · 2018: 10 · 2017: 3
FWCI
9.67
Type
conference paper
Language
en
Open access
closed
Locations
IEEE International Conference on RFID (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
  • Physical Sciences › Engineering › Media Technology › RFID technology advancements
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electromagnetic Compatibility and Measurements
Keywords
passive UHF RFID, received signal strength, shipyards, indoor positioning, Kalman filter, cyber-physical systems, real-time monitoring, shipbuilding

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review