A Methodology to Evaluate the Effectiveness of Intelligent Ship Navigational Information Monitoring System

Ma, Xiaoxue; Jun, Shen; Liu, Yang; Qiao, Weiliang

doi:10.1109/access.2020.3032543

Cited by 7 publications

(2 citation statements)

References 38 publications

(36 reference statements)

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“…Assuming that a component unit of the SRMS is selected as a sample for the capability degradation analysis, the degradation characteristic parameter data of the corresponding unit are recorded in chronological order at each time point. For the objects of evaluation sample set

, we also create indicators of the evaluation sample set

Considering the different types of measurement data, the numerical polarization technique is introduced to normalize the degradation characteristic parameter [ 38 ]. Then, under the assumption that

represents the value of the

indicators expressed for the

evaluation object at the test time point

, we can obtain the evaluation sample result as follows:

…”

Section: Model Establishmentmentioning

confidence: 99%

A Model to Evaluate the Effectiveness of the Maritime Shipping Risk Mitigation System by Entropy-Based Capability Degradation Analysis

Jun

Qiao

2022

IJERPH

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Accurate evaluation of the risk mitigation status of navigating ships is essential for guaranteeing navigational safety. This research mainly focuses on the feasibility and accuracy of evaluating the real effectiveness of a risk mitigation system for navigating ships, including addressing the problem of immeasurableness for risk mitigation capability and determining the degradation regulation of risk mitigation capability over time. The proposed method to solve the problem is an effectiveness evaluation model based on the capability perspective, composed of a capability measurement algorithm based on entropy theory and capability degradation regulation analysis based on numerical process fitting. First, combined with the theoretical framework of a comprehensive defence system, the risk mitigation system designed for navigating ships is reconstructed based on capability building. Second, using a numerical fitting method, the degradation regulation of risk mitigation capability with time is obtained to improve the accuracy of the dynamic evaluation. Finally, referring to entropy theory, the uncertainty of capability is calculated, and then the model is constructed based on this uncertainty to realize the effectiveness evaluation from a capability perspective. The results obtained in an application test of the proposed model indicate that using the entropy of capability can realize an accurate effectiveness evaluation of a risk mitigation system for navigating ships, with a 9% improvement in accuracy, and the Weibull curve fitting is more consistent with capability degradation regulation, with a signification level of 2.5%. The proposed model provides a new path for evaluating the effectiveness of a risk mitigation system for navigating ships from the entropy of capability, and compared with the traditional probabilistic method, the model is more realistic and accurate in actual applications.

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, we also create indicators of the evaluation sample set

Considering the different types of measurement data, the numerical polarization technique is introduced to normalize the degradation characteristic parameter [ 38 ]. Then, under the assumption that

represents the value of the

indicators expressed for the

evaluation object at the test time point

, we can obtain the evaluation sample result as follows:

…”

Section: Model Establishmentmentioning

confidence: 99%

A Model to Evaluate the Effectiveness of the Maritime Shipping Risk Mitigation System by Entropy-Based Capability Degradation Analysis

Jun

Qiao

2022

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…With the advancement of intelligent shipping, traditional maritime supervision systems such as ship automatic identification systems, ship traffic management systems, very high frequency (VHF) wireless, and ship video supervision systems have become inadequate to meet the requirements of intelligent supervision. These systems are unable to achieve the safety supervision purpose of wide area coverage, intelligent decision-making, and rapid response [1,2]. In particular, with regard to ship violations, on-site boarding is still necessary for inspection.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

A Semantic Network Method for the Identification of Ship’s Illegal Behaviors Using Knowledge Graphs: A Case Study on Fake Ship License Plates

Wan,

Fu,

Zhang

et al. 2023

JMSE

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With the advancement of intelligent shipping, current traffic management systems have become inadequate to meet the requirements of intelligent supervision. In particular, with regard to ship violations, on-site boarding is still necessary for inspection. This paper presents a novel approach for enhancing ships’ management and service capabilities through scientific knowledge graph technology to develop a ship knowledge graph. The proposed approach extracts key characteristics of ship violations from the ship knowledge graph, such as monitoring ships, expired ship certificates, multiple ship tracks, inconsistent ship tracks with port reports, and ships not reported to the port for a long time. Combining the characteristics of ship violations, the approach uses reasoning and identification techniques to detect specific instances of falsely licensed ships and other violations. The development of the ship knowledge graph analysis system enables the identification and verification of illegal ships using fake license plates, while also improving the effective utilization of maritime data and enhancing the ability to make informed decisions related to ship safety. By leveraging cognitive approaches and knowledge graphs, this study offers the potential to develop an intelligent decision-making system for maritime traffic management.

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Research on ship safety risk early warning model integrating transfer learning and multi-modal learning

Wu,

Wang,

et al. 2024

Applied Ocean Research

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A Methodology to Evaluate the Effectiveness of Intelligent Ship Navigational Information Monitoring System

Cited by 7 publications

References 38 publications

A Model to Evaluate the Effectiveness of the Maritime Shipping Risk Mitigation System by Entropy-Based Capability Degradation Analysis

A Model to Evaluate the Effectiveness of the Maritime Shipping Risk Mitigation System by Entropy-Based Capability Degradation Analysis

A Semantic Network Method for the Identification of Ship’s Illegal Behaviors Using Knowledge Graphs: A Case Study on Fake Ship License Plates

Research on ship safety risk early warning model integrating transfer learning and multi-modal learning

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