Research And Implementation Of Seabed Plume Location And Recognition Method Based On Acoustic Water Column Data

Bubble plumes in the ocean are not only related to submarine hydrates,but also affect the marine environment and atmospheric environment.Therefore,the determination of ocean plume has important implications for resource detection and related environmental research.The use of sonar system for plume detection has been proved to be a successful detection method.The split beam system can not only obtain the three-dimensional information of the target in the water column,but also obtain the target strength information of the target.For this reason,this paper studies the method of detecting ocean plumes using the split-beam sonar system.The main contents are as follows:1)The system composition and working principle of the echo sounder,especially the EK60 echo sounder are explained,and the methods for performing plume detection are described today.The principle of split-beam technology for plume detection and the scattering pattern of the plume in the echo pattern are explained in detail.2)Achieved*.raw format data decoding,extract relevant navigation data,attitude data,configuration information,sample information;Realize the preprocessing of navigation data and attitude data,and finally obtain spatial information of sample through acoustic tracking,attitude correction,geographic reduction,and correction of water depth;Based on the sample data information and the instrument configuration information,the target strength of the sample was calculated.The rule mesh was used to process the target strength and the algorithm was implemented using MATLAB.3)The plume scattering mode based on the target strength image is used to realize the recognition of the plume characteristics;the separation of plume and noise is achieved by the threshold filtering of the minimum slant range and the threshold filtering of the target strength;and the three-dimensional display of the plume is achieved based on the interactive extraction.In the three-dimensional space,translation,rotation,and editing are used to remove the noise points.The center of the plume is obtained by the geometric mean algorithm,and the gas vent position on the seafloor is finally obtained.Finally,the reliability of the split beam sonar for the plume detection is verified by an example.