首页> 外文会议>Global Internet of Things Summit >Lighting IoT Test Environment (LITE) Platform: Evaluating Light-Powered, Energy Harvesting Embedded Systems
【24h】

Lighting IoT Test Environment (LITE) Platform: Evaluating Light-Powered, Energy Harvesting Embedded Systems

机译:照明物联网测试环境(Lite)平台:评估光源,能量收集嵌入式系统

获取原文

摘要

As interest in the Internet of Things (IoT) grows, so does the requirement for distributed sensing, computation, and communication. Some projections reach a scale of over a trillion wireless devices, which creates a battery replacement challenge that is unsustainable for both human resources (replacement effort) and the environment (disposal). One field of research that strives to meet this challenge is energy harvesting (EH) for self-powered systems. Photovoltaic (PV) cells enable EH capabilities and provide high energy density. They are also typically inexpensive, often making them the transducer of choice for self-powered systems. However, the performance of these EH nodes is rarely evaluated under realistic IoT environmental conditions, such as variable indoor lighting. Under low light, PV cells draw very little power and could place the self-powered system in a standby or even nonfunctional state. Most evaluations of EH systems in various lighting environments use software simulations to predict the behaviour of these nodes, but approximate models lack the exactness required to help with verification of hardware in real conditions. Another approach is user testing in the field, but this arduous solution would incur a variety of costs. This paper presents a third alternative: the Lighting IoT Test Environment (LITE) platform. The LITE platform is a tool that provides insight on how light-powered EH systems operate in low lighting environments. The LITE platform is able to physically emulate a variety of indoor and outdoor lighting sources with a novel mapping technique and provide time-series, environmental simulation of that source on a device under test (DUT). The light source emulation and time-series simulation capabilities are characterized with a worst case mean absolute percentage error (MAPE) of 3.2% and MAPE of 0.5%, respectively. By enabling engineers to accurately understand how these self-powered systems work under real world conditions, the LITE platform will better equip them to design, debug, and distribute fully functional and sustainable IoT nodes.
机译:作为对事物互联网(物联网)的兴趣成长,所以对分布式感测,计算和通信的要求也是如此。一些预测达到了万亿无线设备的规模,这会为人力资源(更换努力)和环境(处置)创造了不可持续的电池更换挑战。一种研究领域,努力满足这一挑战是自动系统的能量收集(EH)。光伏(PV)细胞使得EH能力能够并提供高能量密度。它们通常廉价,通常使它们成为自动系统选择的换能器。然而,在现实的物料环境条件下很少评估这些EH节点的性能,例如可变室内照明。在低光下,光伏电池的功率非常小,可以将自动系统放置在待机状态甚至非官能状态。各种照明环境中EH系统的大多数评估使用软件模拟来预测这些节点的行为,但近似模型缺乏帮助在实际条件下验证硬件所需的准确性。另一种方法是该领域的用户测试,但这种艰巨的解决方案将产生各种成本。本文介绍了第三种替代方案:照明物联网测试环境(Lite)平台。 Lite平台是一种工具,可以了解光源EH系统如何在低照明环境中运行的洞察力。 Lite平台能够用新颖的映射技术物理地模拟各种室内和室外照明来源,并提供时间序列,在被测设备上提供该源的环境模拟(DUT)。光源仿真和时间序列模拟能力的特征在于最坏的情况意味着3.2%和mape的绝对百分比误差分别为0.5%。通过使工程师能够准确地了解这些自动系统在真实世界的条件下的工作方式,Lite平台将更好地装备它们以设计,调试和分发全功能和可持续的IOT节点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号