物联网设备电池寿命:放慢速度,快速洞察挑战条件

Brad Jolly
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引用次数: 2

摘要

物联网(IoT)持续快速增长,随之而来的是将产品快速推向市场的压力。电池寿命以及连接性、共存性、合规性和网络安全都是一个关键的挑战。虽然传统的电池电量消耗测量技术使用高速测量来获得最佳精度,但在某些条件下,较慢的测量实际上可能更可取。物联网设备在高度可变和动态的环境中运行,包括物理环境、电磁环境以及测量、处理、存储、传输和接收的数据量的变化。在许多物联网应用中,如果设备电池过早失效,最终用户或设备供应商将面临严重后果。本文描述了一种混合策略,使用基于事件的功率分析来测量和分析高度动态环境中的物联网设备。工程师可以使用这种混合方法快速获得必要的见解,以正确配置硬件、固件和软件,优化电池运行时间,避免客户失望和相关后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT Device Battery Life: Go Slow for Fast Insights Into Challenging Conditions
The internet of things (IoT) continues to grow quickly, with corresponding pressures to get products to market rapidly. Battery life is a key challenge, along with connectivity, coexistence, compliance, and cybersecurity. While traditional battery charge consumption measurement technologies use high speed measurements for optimal accuracy, slower measurements may actually be preferable under certain conditions. IoT devices operate in highly variable and dynamic environments that include changes to the physical environment, the electromagnetic environment, and the volumes of data measured, processed, stored, transmitted, and received. In many IoT applications there are serious consequences for the end user or device vendor if a device battery fails prematurely. This paper describes a hybrid strategy using event-based power analysis for measuring and analyzing an IoT device in highly dynamic environments. Engineers can use this hybrid approach to quickly gain the necessary insights to properly configure hardware, firmware, and software to optimize battery runtime and avoid customer frustration and the associated consequences.
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