Gaja-Mithuru:智能大象监测和跟踪系统

P. Fernando, K. Perera, P. Dissanayake, J. Jayakody, J. Wijekoon, M. Wijesundara
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引用次数: 5

摘要

在过去的几年里,与斯里兰卡大象聚居区接壤的相当多的村庄一直面临着人象冲突的可怕影响。随着人类在这些自然栖息地的扩张,大象的食物和水的来源随着时间的推移逐渐减少。因此,动物被迫攻击庄稼。随之而来的对村庄的袭击导致人类和大象伤亡人数稳步上升。在这样的背景下,现有的缓解人象冲突的方法被证明效果不佳,因为它们经常采用侵入性和有害的方法来抵御大象的威胁。因此,本提案将侧重于使用物联网技术的一种对人类和大象既无侵入性又无害的监测方法。为了实现上述目标,本文提出了一种方法,即通过与大象有关的地震数据和GPS数据来探测大象,监测大象的行为,识别大象未来的攻击行为,并提前通知村庄。数据采集使用硬件设置,包括检波器、放大和滤波电路以及用于数据通信的GSM模块。该方法对大象的检测具有较高的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gaja-Mithuru: Smart Elephant Monitoring and Tracking System
In the past few years, a considerable number of villages bordering elephant populated areas of Sri Lanka have been continuously facing the dire effects of the Human-Elephant conflict. With the expanding human settlements in those natural habitats, the sources of food and water for elephants have gradually diminished over time. Therefore, animals are forced to attack crops. The consequent attacks on the villages cause a steady rise in human and elephant casualties. Within such a context, the existing methods of mitigating the human-elephant conflict have proven to be less effective as they often employ intrusive and harmful methods to ward off elephant threats. Thus, this proposal will focus on a monitoring method that is both nonintrusive and nonharmful to both humans and elephants using IoT technologies. To achieve the said objective, a method is proposed mean to detect elephants, monitor their behavior, and identify elephants' future attacks through seismic data related to elephants and GPS data and notify villages in advance. The data were captured using a hardware setup which includes geophones, circuits for amplification and filtering, and GSM modules for data communication. This method achieved a high accuracy in detecting elephant.
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