Biostatistical Analysis on Submarine Lost Contact Search Technology

Authors: Bin Z* and Zijie M

DOI: 10.23880/oajda-16000117

Volume 2, Issue 1

Abstract

In this paper, a technical solution based on ArcGIS and genetic algorithm is proposed for searching submarine after losing contact. First, a three-dimensional submarine terrain model is established by ArcGIS to simulate the Marine environment where the submarine may lose contact. Then, the Cartesian coordinate system is established, and the random walk model is used to describe the motion state of the submarine after the loss of contact. The probabilistic model is optimized by Bayesian inference to improve the accuracy of submarine position prediction. After determining the search area, genetic algorithm is used to optimize the search path so that the search equipment can locate the submarine and return to the initial point as soon as possible. The results show that this method can effectively predict the position of the submarine after the loss of contact, and provide an efficient search path for the search equipment, and provide technical support for the search and rescue of the submarine after the loss of contact.

Keywords: ArcGIS; Genetic Algorithm; Submarine Lost Contact; Search Path Optimization

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