Proceedings of the Thirty-second (2022) International Ocean and Polar Engineering Conference
Shanghai, China, June 5–10, 2022
Copyright © 2022 by the International Society of Offshore and Polar Engineers (ISOPE)
ISBN 978-1-880653-81-4; ISSN 1098-6189

www.isope.org

Study on BP-DS algorithm for operation state identification of inland river navigation markers
Qinyang Chen 1,2, Chengyong Liu 1,2,Langxiong Gan1,2， Lei Zhang *1,2 ,Jianguang Yue3 ,Wenxin Lu4
1. Navigation School of Wuhan University of Technology；Wuhan, China
2. Hubei Inland Shipping Technology Key Laboratory; Wuhan, China3. Guangzhou Aids to Navigation Department；Guangzhou, China
4. Qingdao Port Financing Guarantee Co., Ltd.；Qingdao, China

monitoring of the status of aids, (Lu M，2012 ，Sang LZ, Hong SX，2020) reduces subjective recognition, and achieves real-time monitoring.
Due to the complex navigation environment of inland rivers, there is still
great uncertainty in monitoring the status of aids. According to thestatistics of the second half of 2019 provided by the Wuhan Waterway
Bureau of the Yangtze River, a total of 884 aids to navigation telemetry
and telecontrol terminals were set. There were 120,022 alarms due todrift, abnormal aids lights and abnormal lights voltage, of which thenumber of effective alarms was only 14,832 (accounting for 12.4%),
showing that there were a large number of false alarms. Therefore, it isof great significance to accurately identify and predict the state mode ofaids by capitalizing on the multi-source data obtained from aids
telemetry and remote sensing.

ABSTRACTAs the setting environment of navigational markers will be affected bystrong wind, rain and other bad factors, and even there are hidden
dangers of collision of ships, the working status of navigational markers
will change. In order to realize the accurate study and judgment of its
working state and provide reasonable reference for the management
department, this paper constructs a state identification model of aids
based on BP-DS evidence theory. Two BP neural networks were used
to train the basic attribute data and environmental factor data
respectively to calculate the independent evidence value. The DS
evidence theory is used to realize the decision fusion of the results of theoperation state recognition of navigation aids. The results show that theaccuracy of the model based on BP-DS evidence theory is more than80%, which is higher than the traditional empirical thresholddiscrimination method. The research results can provide reference foronline monitoring and intelligent identification of inland waterway
infrastructure.

In recent years, scholars in the fields of transportation and civilengineering have proposed a variety of effective state recognition models
and status judgement methods (Chang LJ, Zheng LL, Yang F，2019).
BP neural network is a mainstream applied algorithm. In the research ofstate recognition based on BP neural network, aiming at the uncertaintyof road traffic state, Wu Weitiao (Wu WT, Jing WZ ， Lin PQ ，2011)and other scholars proposed a status judgement method based on
BP neural network after selecting quantitative status characteristics ofinfluencing factors of the status. Examples show that the method has aquick rate of convergence and high accuracy. Yang Zeying (Yang ZY,Zhang YL, Qu JB, Wang YP，2020) and others established BP neuralnetwork model, and took the natural frequency of bridge structure andelement displacement obtained from finit element model as inputs toidentify the damage location of bridge structure and judge the degree ofdamage; when the degree of damage is small, the effect of modelrecognition is unsatisfying. The quality of sample data (such as feature
data and state mapping relation, etc.) affects the recognition accuracy ofthe model to a certain extent. The optimization ideas are mainly realized
in the following ways: on the one hand, implementing attribute reductionof data (Miao DQ, Hu SD，2019，Kong H, Zhang X， Bao W，2014)on the other hand, combining with decision-making fusion
algorithm (such as DS evidence theory, etc.). Taking the fault state ofelectric vehicles as the research object, Kong Huifang (Kong HF, Luo

KEY WORDS: Status of aids to navigation; BP neural network; DS
evidence theory; decision fusion.

INTRODUCTION
Aids to navigation are common navigation aids in inland watertransportation, which mark the boundary of safe navigable waters forships. In the inland river intelligent shipping system, (Yan XP, Liu CG，
2016) aids are the key ports of the perception layer for collecting andtransmitting information, playing a vital role in the ship shore
cooperative intelligent service and monitoring.
The early maintenance and management of aids to navigation mainly
relied on regular manual inspection. However, the inspection process
was time-consuming and labor-consuming due to the relatively scattered
distribution of aids. With the rapid development of communication
technology, institutions at home and abroad have developed telemetry
and telecontrol system of aids by carrying multiple types of sensors on
the basis of traditional aids, which realizes the management and2054