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Application of a Winch-type Towed Acoustic Sensor to a Wave-powered Unmanned Surface Vehicle

机译:绞车式牵引声传感器在波浪动力无人飞行器上的应用

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Although many countries have focused on anti-submarine warfare for several decades, underwater submarines can hardly be detected by current assets such as patrol aircraft, surface ships and fixed underwater surveillance systems. Due to the difficult conditions of the oceanic environment and the relative quietness of submarines, existing acoustic surveillance platforms are not able to fully cover their mission areas. To fill in the gaps, a winch-type towed acoustic sensor system was developed and integrated into a wave-powered unmanned surface vehicle by the Korea Institute of Ocean Science and Technology. Sea trial tests were conducted to verify manoeuvering, acoustic signal detection, and communication capabilities. During the manoeuvering test, the wave-powered glider successfully moved along programmed waypoints. Despite towing the acoustic sensor system, only 20 per cent of initial electricity was consumed in 20 days. The acoustic sensor was lowered to depths of 100 m -150 m by the winch system, and received signals from an acoustic simulator lowered to depths of 50 m -100 m by RV Jangmok. The continuously simulated tonal signals as submarine noises that were refracted downward could be clearly received and identified by the hydrophone system, from distances of 2 km - 8 km, while it was being towed silently and deeply. In addition, an optical camera provided high-resolution images of surface vessels, allowing integration with acoustic detection of underwater objects. In conclusion, this new platform using a deeply towed hydrophone system is worthy of consideration as an underwater surveillance asset. Future work is required to strengthen inter-asset communication and obstacle avoidance, and to overcome strong currents to make this technology a reliable part of the underwater surveillance network.
机译:尽管许多国家几十年来一直专注于反潜战,但目前的巡逻机,水面舰艇和固定式水下监视系统等现有资产很难探测到水下潜艇。由于海洋环境的艰苦条件和潜水艇的相对安静,现有的声音监视平台无法完全覆盖其任务区域。为了填补这一空白,韩国海洋科学技术研究所开发了绞盘式拖曳声传感器系统,并将其集成到波浪动力无人水面飞行器中。进行了海上试验,以验证操纵,声音信号检测和通信能力。在操纵测试期间,波浪动力滑翔机成功地沿编程的航路点移动。尽管拖曳了声传感器系统,但在20天内仅消耗了20%的初始电量。绞车系统将声音传感器降低至100 m -150 m的深度,并由RV Jangmok将来自声学模拟器的信号降低至50 m -100 m的深度。水下折射的连续模拟的音调信号作为海底噪声可以被水听器系统清晰地接收和识别,其距离为2 km-8 km,而被默默地深深拖曳。此外,光学相机还提供了水面船只的高分辨率图像,可以与水下物体的声学检测相集成。总之,使用深度拖曳水听器系统的新平台值得作为水下监视资产考虑。需要进一步的工作来加强资产之间的通信和避障,并克服强大的潮流,以使该技术成为水下监视网络的可靠部分。

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