Research On The Traffic Monitoring Method Of Inland Waterways

Underwater acoustic detection technologies were developed over the past decades, but researchers mainly concentrated on ocean and military field applications, and few paid attention to the inland waterway. The affections of the geographical environment, the sound field environment in the inland waterway is so different with those in the ocean. As the inland waterway traffic becoming increasingly crowded, and research on vessels traffic monitoring in the inland waterway is an increasingly important.Considering the counting problem when a number of ships go through the monitoring water area in parallel, based on a set of optic fiber sensors, an algorithm is proposed to count ships in inland waterways. The algorithm combines the threshold of sound energy and the time-frequency characteristics of strong line spectrums. The processing results of a piece of45minutes long sound pressure data have proved the effectiveness of this algorithm.Firstly, this thesis introduces the basic theory about vessels radiated noise, and focuses on vessels noise source level and some related time-frequency analysis theory.On this basis, the thesis proposes a traffic monitoring algorithm in the inland waterway, which combines the threshold of sound energy and the time-frequency characteristics of strong line spectrums. This algorithm has a wide monitoring range, a strong anti-interference ability and a high accuracy in real-time processing.Secondly, the related monitoring system is designed in this thesis, including the experimental site and the monitoring software.Finally, the processing result of a piece of45-minutes long sound pressure data demonstrates the effectiveness of this algorithm and verifies the operation result of the software.