Data-driven ship digital twin for estimating the speed loss caused by the marine fouling

Coraddu, Andrea; Oneto, Luca; Baldi, Francesco; Cipollini, Francesca; Atlar, Mehmet; Savio, S.

doi:10.1016/j.oceaneng.2019.05.045

Cited by 141 publications

(40 citation statements)

References 58 publications

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“…This helps to improve the handling of the physical entity in performance optimization and maintenance, among others. Coraddu et al (2019) [103] propose a ship's real-time marine fouling diagnosis using continuous monitoring system data. Digital Twins can offer advanced services [104] by providing, for example, IoT connectivity and analytics algorithms insights to subscribing customers.…”

Section: Functional Usementioning

confidence: 99%

5-Dimension Cross-Industry Digital Twin Applications Model and Analysis of Digital Twin Classification Terms and Models

Newrzella¹,

Franklin

Haider

2021

IEEE Access

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A Digital Twin is an auspicious cross-industry concept in the era of digitalization, which promises a wide range of benefits such as efficiency improvements, predictions of future opportunities and challenges, and respective recommendations. At present, a variety of definitions and terms exist, causing increasing confusion among practitioners and users. Here we address this need for consolidation with a holistic view of the Digital Twin concept across industries. We analyze classification models and Digital Twin terms in academia and industry in order to propose a 5-dimension cross-industry Digital Twin applications model. This model, based on the core three-part Digital Twin concept introduced by Grieves in 2002, enables ease of understanding and cross-industry classification and development of applications within the concept of the Digital Twin. The proposed model consists of the dimensions scope of the physical entity, feature(s) of the physical entity, form of communication, scope of the virtual entity, and user-specific outcome/value created.

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Section: Functional Usementioning

confidence: 99%

5-Dimension Cross-Industry Digital Twin Applications Model and Analysis of Digital Twin Classification Terms and Models

Newrzella¹,

Franklin

Haider

2021

IEEE Access

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“…According to [26] sensor fouling has proved to be one the more influencing factors on the quality of the DVL measurements. Based on this assumption the hull and DVL cleaning events of each ship over time has been included in the study.…”

Section: Hull and Dvl Cleaning Eventsmentioning

confidence: 99%

How Good Is the STW Sensor? An Account from a Larger Shipping Company

Ikonomakis

Nielsen

Holst

et al. 2021

JMSE

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This paper examines the statistical properties and the quality of the speed through water (STW) measurement based on data extracted from almost 200 container ships of Maersk Line’s fleet for 3 years of operation. The analysis uses high-frequency sensor data along with additional data sources derived from external providers. The interest of the study has its background in the accuracy of STW measurement as the most important parameter in the assessment of a ship’s performance analysis. The paper contains a thorough analysis of the measurements assumed to be related with the STW error, along with a descriptive decomposition of the main variables by sea region including sea state, vessel class, vessel IMO number and manufacturer of the speed-log installed in each ship. The paper suggests a semi-empirical method using a threshold to identify potential error in a ship’s STW measurement. The study revealed that the sea region is the most influential factor for the STW accuracy and that 26% of the ships of the dataset’s fleet warrant further investigation.

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“…The use of DTs introduces a new approach for synchronising the real physical world with the virtual digital world. The development of emerging information technology allows DTs to be applied in various industries, including aviation [ 33 ], energy [ 34 ], mining [ 35 ], shipping [ 36 ], and transportation [ 37 ]. To promote the application of DTs in related fields, according to the 3D model of DTs proposed by Professor Grieves a five-dimensional model of DT was proposed.…”

Section: Literature Reviewmentioning

confidence: 99%

A Framework for an Indoor Safety Management System Based on Digital Twin

Liu

Zhang

Wang

2020

Sensors

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With the development of the next generation of information technology, an increasing amount of attention is being paid to smart residential spaces, including smart cities, smart buildings, and smart homes. Building indoor safety intelligence is an important research topic. However, current indoor safety management methods cannot comprehensively analyse safety data, owing to a poor combination of safety management and building information. Additionally, the judgement of danger depends significantly on the experience of the safety management staff. In this study, digital twins (DTs) are introduced to building indoor safety management. A framework for an indoor safety management system based on DT is proposed which exploits the Internet of Things (IoT), building information modelling (BIM), the Internet, and support vector machines (SVMs) to improve the level of intelligence for building indoor safety management. A DT model (DTM) is developed using BIM integrated with operation information collected by IoT sensors. The trained SVM model is used to automatically obtain the types and levels of danger by processing the data in the DTM. The Internet is a medium for interactions between people and systems. A building in the bobsleigh and sled stadium for the Beijing Winter Olympics is considered as an example; the proposed system realises the functions of the scene display of the operation status, danger warning and positioning, danger classification and level assessment, and danger handling suggestions.

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Data-driven ship digital twin for estimating the speed loss caused by the marine fouling

Cited by 141 publications

References 58 publications

5-Dimension Cross-Industry Digital Twin Applications Model and Analysis of Digital Twin Classification Terms and Models

5-Dimension Cross-Industry Digital Twin Applications Model and Analysis of Digital Twin Classification Terms and Models

How Good Is the STW Sensor? An Account from a Larger Shipping Company

A Framework for an Indoor Safety Management System Based on Digital Twin

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