基于模糊逻辑和趋势分析的棕榈树水控系统

Moayad Salim Al Falahi, Ferddie Quiroz Canlas, Sarchandran Nair
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引用次数: 1

摘要

提出的Al Nakheel树的水控制系统是一个多方面的实现模型,结合了模糊逻辑技术、物联网(IoT)和云技术。NodeMCU微控制器从温度和土壤湿度传感器收集数据,然后执行模糊逻辑来确定电机泵应该向棕榈树提供的水量。棕榈树的年龄也被用来决定浇水的频率。这些数据,包括系统的状态,都存储在云数据库中。使用与微控制器安全配对的移动应用程序可以帮助农民监控状态并控制系统。当其中一个传感器出现故障时,系统从模糊逻辑运算切换到使用移动平均法进行趋势分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water Control System for Al Nakheel Tree Using Fuzzy Logic with Trend Analysis
The proposed water control system for Al Nakheel Tree is a multifaceted implementation model that combines the Fuzzy Logic Technique, Internet of Things (IoT), and Cloud Technologies. The NodeMCU microcontroller collects data from the temperature, and soil moisture sensors, and then performs Fuzzy Logic to determine the right amount of water the motor pump should supply to the palm trees. The ages of the palm trees are also used to determine the frequency of the watering process. These data, including the status of the system, are stored in a cloud database. Using the mobile application which was securely paired to the microcontroller helps the farmer to monitor the status and control the system. The system switches from Fuzzy Logic operation to trend analysis using the moving averaging method when one of the sensors fails.
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