模糊Sugeno算法在物联网温湿度监测系统中的实现

Ulfah Putri Bisba, E. Mulyana, M. Ramdhani, M. Irfan
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引用次数: 4

摘要

物联网(IoT)是技术领域的新趋势之一,它连接可以通过互联网连续访问的电子设备或传感器,并可以通过设备或小工具远程控制。在日常生活中使用物联网的一个例子是始终处于活动状态并连接到互联网的服务器。持续的设备活动导致设备变得高温,并有可能降低设备的性能和寿命。本研究的问题是系统如何通过基于web的监控,利用Sugeno模糊推理对基于物联网的服务器设备的温度和湿度进行实时监控,以及Sugeno模糊推理在确定服务器设备的温度和湿度方面的准确性有多高。因此,本研究的目的是通过基于web的监控,设计并构建一个基于物联网的服务器温湿度实时监控系统。所使用的方法是Sugeno模糊推理和原型的软件开发方法。结果表明,该web页面能够以图形化的方式显示从硬件采集的数据,并且当服务器温度达到过热状态时,系统能够对该情况做出响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Implementation of The Fuzzy Sugeno Algorithm On an IoT-Based Temperature and Humidity Monitoring System
Internet of Things (IoT) is one of the new trends in the world of technology that connects electronic devices or sensors that can be accessed through the Internet continuously and can be controlled remotely through devices or gadgets. One example of using IoT in everyday life is a server that is always active and connected to the Internet. Continuous device activity causes the device to become high temperature and is likely to reduce the device’s performance and age. The problem of this study is about how the system can monitor the temperature and humidity of the server device based on IoT in real-time through web-based monitoring using Sugeno Fuzzy Inference and how much accuracy the Sugeno Fuzzy Inference in determining the temperature and humidity of the server device. So, the purpose of this research is to design and build a monitoring system for server temperature and humidity based on IoT in real-time through web-based monitoring. The approach method used is the Sugeno Fuzzy for Inferencing and prototyping for the Software Development method. The result shows that the web page can display the data captured from the hardware graphically and system able to respond to the condition when the temperature of the server reaches the overheat condition.
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