Development and Calibration of a Low-Cost Electrical Measurement Instrument

Guilherme Cit, Jean G. Monteiro, T. M. Quirino, J. Quirino
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Abstract

The most modern technological advances are accompanied by more complex and sophisticated demands of society. Among the main social demands, energy consumption is one of the factors with the highest growth, but technologies related to the theme have not developed at the appropriate pace to the context, especially observing that consumers have little or no information about their consumption data. The wide variety of electronic equipment is evident, therefore, the development of a system that allows the user to monitor the energy consumption of the equipment by only a low-cost sensor and with high precision is an interesting advantage. To this end, it is proposed the implementation of artificial neural networks to increase the accuracy of microcontrolled instrument connected via Wi-Fi, to provide reliable data that can be stored in the cloud and present consumption in real time.
一种低成本电测量仪器的研制与校准
最现代的技术进步是伴随着更复杂和复杂的社会需求。在主要的社会需求中,能源消费是增长最快的因素之一,但与该主题相关的技术发展速度并没有与环境相适应,特别是消费者对其消费数据的了解很少或根本没有。电子设备的种类繁多是显而易见的,因此,开发一种系统,使用户能够仅通过低成本的传感器监测设备的能耗,并且具有高精度,这是一个有趣的优势。为此,本文提出了人工神经网络的实现,以提高通过Wi-Fi连接的微控仪器的精度,提供可存储在云中并实时显示消费的可靠数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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