Labor intensive visual observation has been used to study the activities of Asian parti-colored (APC) bats in the past. Through an Internet of Things (IoT) platform called BatTalk, we continuously monitor the APC bats population to investigate its compositional changes, life history, and environmental factors. BatTalk achieves the same goals as traditional visual observations with reduced man power and minimal interference to the bat activities. In particular, BatTalk automates the process to understand APC bats' regular annual life cycle history and estimate the percentage of the baby bats born and raised there, who would return to their original habitat in the coming year. This paper proposes an inexpensive manner to identify the bat habitats and bat movement paths by identifying the bat's ultrasonic signal strength and GPS position, and then show the information in a map. Our study indicates that for current BatTalk deployment, the wireless communication delays have small variance, and as long as the observer moves with a constant speed, even if he/she moves fast, the bats still can be accurately located.

过去，劳动密集型视觉观察已用于研究亚洲色（APC）蝙蝠的活动。通过称为BatTalk的物联网（IoT）平台，我们持续监控APC蝙蝠种群，以调查其组成变化，生活史和环境因素。BatTalk实现了与传统视觉观察相同的目标，同时减少了人力，并且对蝙蝠活动的干扰最小。特别是，BatTalk使该过程自动化，以了解APC蝙蝠的定期年度生命周期历史，并估计在那里出生和长大的蝙蝠的百分比，这些蝙蝠在来年将返回其原始栖息地。本文提出了一种便宜的方法，即通过识别蝙蝠的超声信号强度和GPS位置来识别蝙蝠的栖息地和蝙蝠的运动路径，然后在地图上显示信息。我们的研究表明，对于当前的BatTalk部署，无线通信延迟的变化很小，并且只要观察者以恒定的速度移动，即使他/她快速移动，蝙蝠仍然可以准确定位。