Design and Analysis of Power Efficient IoT Based Capacitive Sensor System to Measure Soil Moisture

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI:10.1109/ComPE49325.2020.9200006

Siddhanta Borah, R. Kumar, Writtick Pakhira, Subhradip Mukherjee

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引用次数: 1

Abstract

With the advancement of new technologies now a days sensors systems have become more intelligent and compact in size as compared to other traditional sensor systems. In this research work, an IoT (Internet of Things) based low cost and power efficient hardware system is presented to monitor soil moisture. A capacitive soil moisture sensor is designed and calibrated in this work. The output data are compared with a standard SEN0193 capacitive soil moisture sensor to check the reliability of the sensor. To make the sensor system a 32 bit ESP32 controller has been used. The controller was programmed according to an algorithm named "Low Threshold Power Optimization (LTPO)" to consume low power. The ESP32 controller has an inbuilt IoT chip that provides more flexibility to the system. A small OLED display is also interfaced with the controller to monitor sensor value directly in the field. In this paper an open source server ThingSpeak.com is used to visualize and store moisture data.

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基于物联网的高能效电容式土壤湿度测量系统设计与分析

随着新技术的进步，如今的传感器系统与其他传统的传感器系统相比，已经变得更加智能和紧凑。在本研究中，提出了一种基于物联网的低成本、低功耗的土壤湿度监测硬件系统。本文设计并标定了一种电容式土壤湿度传感器。将输出数据与标准的SEN0193电容式土壤湿度传感器进行比较，以检验传感器的可靠性。传感器系统采用32位ESP32控制器。控制器采用“低阈值功耗优化(LTPO)”算法编程，实现低功耗。ESP32控制器内置物联网芯片，为系统提供更大的灵活性。一个小型OLED显示屏也与控制器接口，直接在现场监控传感器值。本文使用开源服务器ThingSpeak.com来可视化和存储湿度数据。

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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2020 International Conference on Computational Performance Evaluation (ComPE)

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