Application of Boiler Optimization Monitoring System Based on Embedded Internet of Things

Abstract

In order to study the deficiency of tuning PID controller in traditional boiler combustion air system, this paper proposes an embedded Internet of things monitoring system and puts forward a method of fuzzy PID controller with the help of nonlinear optimization algorithm to reasonably set the initial value of control parameters. Through the simulation comparison with the traditional engineering tuning PID controller, it is found that when the simulation process is t = 2000 s, the step disturbance with amplitude of 0.1 is added to the system input, and there will be slight disturbance in the combustion process. Through fuzzy PID and strong robustness support, the modeling error of the monitoring system model can be controlled between 10%∼25%, which proves that the nonlinear optimized PID has strong anti-interference and can meet the process requirements of the system.

Implementation of Bioelectrical Impedance Measuring Instrument Based on Embedded System

“…The main aim of the present research is to make the system digital in the form of data storage and the transaction to the subjects whose measurements will be done. As a developed prototype used to measure the BI of the human body at multifrequency, it is necessary to send measured data to the subjects and examiner for future use or research the data academically or commercially [35][36][37][38][39][40]. The research uses an in-build device with a Wi-Fi chip to send the data to the server.…”

Retracted: Application of Boiler Optimization Monitoring System Based on Embedded Internet of Things

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”