Detecting Shipping Container Impacts with Vertical Cell Guides inside Container Ships during Handling Operations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10249755" target="_blank" >RIV/61989100:27240/22:10249755 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/22/7/2752" target="_blank" >https://www.mdpi.com/1424-8220/22/7/2752</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s22072752" target="_blank" >10.3390/s22072752</a>
Alternative languages
Result language
angličtina
Original language name
Detecting Shipping Container Impacts with Vertical Cell Guides inside Container Ships during Handling Operations
Original language description
Due to the mechanical nature of container handling operations, as well as natural factors, container and handling infrastructure suffers various types of damage during use, especially within the tight and enclosed environments of a ship's hull. In this operational environment, it is critical to detect any sort of physical impacts between the vertical cell guides of the ship's hull and the container. Currently, an inspection of impacts and evaluation of any consequences is performed manually, via visual inspection processes. This process is time-consuming and relies on the technical expertise of the personnel involved. In this paper, we propose a five-step impact-detection methodology (IDM), intended to detect only the most significant impact events based on acceleration data. We conducted real measurements in a container terminal using a sensory device placed on the spreader of the quay crane. The proposed solution identified an average of 12.8 container impacts with the vertical cell guides during common handling operations. In addition, the results indicate that the presented IDM can be used to recognize repeated impacts in the same space of each bay of the ship, and can be used as a decision support tool for predictive maintenance systems.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors
ISSN
1424-3210
e-ISSN
1424-8220
Volume of the periodical
22
Issue of the periodical within the volume
7
Country of publishing house
CH - SWITZERLAND
Number of pages
26
Pages from-to
nestrankovano
UT code for WoS article
000781880300001
EID of the result in the Scopus database
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