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Information Harvesting Method by an Energy Harvesting Device with Multiple Microcontrollers

机译:具有多个微控制器的能量收集装置的信息收割方法

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Energy harvesting technology can be used in microcontrollers to detect the state of surroundings such as an anomalous state like a theft case where electricity cannot be supplied. The wave shape of the harvested power can be measured as signals that represent the state of the surroundings, and it can be used for state detection. However, conventional techniques cannot effectively supply all harvested energy to microcontroller operations. The technique proposed in this paper solves the problem by utilizing multiple microcontrollers with roles that are divided into two stages: the first is for synchronization of calculation progress with the shape of the electric power wave, and the other is for restoring the wave shape and for deciding the state of the surroundings. The signal line connecting the energy harvesting device and the microcontroller is not needed. All of the harvested energy is supplied to the microcontrollers for their calculations of state detection. Moreover, this technique supplies microcontrollers with more harvested energy and allows them to perform more complex algorithms to harvest the information on the surroundings. An evaluation of this technique showed that the state detection accuracy was higher in the microcontrollers than in the single microcontroller system, and the results revealed it can even send the data as a power supply-less IoT sensor with an LPWA module.
机译:能量收集技术可用于微控制器,以检测诸如不可能提供电力的盗窃情况等异常状态的周围环境。收获功率的波形可以测量为代表周围环境状态的信号,并且它可以用于状态检测。然而,传统技术不能有效地向微控制器操作提供所有收获的能量。本文提出的技术通过利用具有分为两个阶段的多个微控制器的多个微控制器来解决问题:首先是为了与电力波的形状进行计算进度的同步,另一个是用于恢复波形和恢复波形决定周围的状态。连接能量收集装置和微控制器的信号线是不需要的。所有收获的能量都被提供给微控制器,以计算状态检测。此外,该技术提供了具有更多收获能量的微控制器,并允许它们执行更复杂的算法以收取周围环境的信息。对该技术的评估表明,微控制器中的状态检测精度比在单个微控制器系统中更高,结果显示它甚至可以将数据作为带LPWA模块作为电源供应的IOT传感器发送。

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