A Novel IoT-Enabled System for Real-Time Monitoring Home Appliances
Using Petri Nets
Abstract
Correct use of home appliances is intended to avoid property damage and
life unsafety. Also, serious fire accidents must affect the safety of
one’s neighborhood. Therefore, this study uses the Internet of Things
(IoT) platform to build an intelligent system that aims to measure the
temperature rise of home appliances, which is employed to monitor the
usage states of home appliances in real time. Hereby, the
microcontroller, Node Micro Control Unit (NodeMCU-32S), is used to
develop an IoT platform combined with sensors for measuring AC voltage,
current, and ambient temperature so that the electrical power and
temperature rise of load can be detected. Meanwhile, the smart
measurement system is integrated with mobile devices to upload the
detected datasets to the Google cloud database system. Thus, it can be
used as samples for future calibration of system parameters with machine
learning. Moreover, the verification of feasibility and soundness of a
system model is performed by using Petri net tool, WoPeD, for the
purpose of eliminating the improper states to optimize the system
performance. Finally, the experimental results show that the proposed
IoT-Enabled system has promising precision, 94.17%, and recall,
92.26%, which obviously outperforms other existing systems.