A Survey on Ship Intelligent Cabin

Jia, Shuli; Wang, Fuxin; Dong, Mengchao; Ma, Liyong

doi:10.3233/faia200812

Cited by 4 publications

(2 citation statements)

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“…is automatic monitoring is completed by various sensors. Usually, a single sensor cannot determine whether the coastal environment is abnormal and whether the ship's state is abnormal [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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A Multisensor Data Fusion Based Anomaly Detection (Ammonia Nitrogen) Approach for Ensuring Green Coastal Environment

Zhou

Liu

et al. 2022

Advances in Materials Science and Engineering

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Great changes have been brought about by the coastal environment when the economy develops rapidly. Coastal environmental monitoring is the basis and technical guarantee for coastal environmental protection supervision and management. It is one of the important tasks to detect and timely discover coastal seawater anomalies. Usually, a single sensor cannot determine whether the coastal environment or ship operation is an anomaly. Recently, an unmanned surface vehicle for coastal environment monitoring was developed, and stacked autoencoders are used for seawater anomaly detection using multisensor data fusion methods. The multisensor data of pH, conductivity, and ammonia nitrogen are employed to judge the anomaly of seawater. The mean, standard deviation, mean square root, and normalized power spectrum features of multisensor data are extracted, and a stacked autoencoder is employed to fuse these features for anomaly detection. The proposed method is feasible and effective for anomaly detection of coastal water quality and ship operation. Compared with other commonly used methods, the proposed method has a higher recall, precision, and F1 score performance.

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Section: Introductionmentioning

confidence: 99%

“…Recently, an unmanned surface vehicle (USV) for coastal environment monitoring was successfully developed by the author team [8][9][10]. A data platform was developed and deployed on the ship [11]. e data platform stores various sensor data in a distributed manner.…”

Section: Introductionmentioning

confidence: 99%