Life Detection System during Natural Calamity

Pooja Garg, S. Srivastava
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引用次数: 6

Abstract

In this research we try to identify the human life inside debris in case of natural calamity. Here we are using acoustic sensors as an input and the reflected waves identify life of human being. The sensor is based on the concept of transmitting ultrasonic waves and analyzing the reflected waves to detect the motion of human body parts like lungs. It follows an incremental procedure as the transmitted frequency is incremented with each consecutive meter which is scanned for detecting human life. The depth of the buried individual is estimated on the basis of frequency emitted at that time stamp. The location coordinates are also achieved by using GPS device with the instrument. The gathered data is plotted live over the map by using softwares like Google Earth which provides it globally to fetch more help for victims. Advantages of acoustic sensors over sensors based on microwave radar technology are: sound can penetrates metal walls, and acoustic sensors are sensitive to slow motions, and so can detect stationary persons by breathing motion alone. The other advantage includes low cost and portability.
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自然灾害中的生命探测系统
在这项研究中,我们试图在自然灾害的情况下识别碎片中的人类生命。在这里,我们使用声学传感器作为输入,反射波识别人类的生活。该传感器是基于发射超声波并分析反射波的概念,以检测人体部位(如肺部)的运动。它遵循一个递增的程序,因为传输频率随着每一个连续扫描的仪表而增加,以检测人类的生命。被埋的人的深度是根据在那个时间戳发射的频率来估计的。通过与仪器配合使用GPS装置,还可以实现定位坐标。收集到的数据通过谷歌Earth等软件在地图上实时绘制,这些软件可以在全球范围内为受害者提供更多帮助。与基于微波雷达技术的传感器相比,声学传感器的优点是:声音可以穿透金属墙,并且声学传感器对缓慢运动很敏感,因此可以仅通过呼吸运动来检测静止的人。另一个优点是低成本和便携性。
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