Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

"Industrial Load Management System Using MQTT Protocol for Real-Time Energy Optimization ", Thesis of Industrial management

The "Industrial Load Management System Using MQTT Protocol for Real-Time Energy Optimization and Control" focuses on enhancing energy efficiency in industrial environments by leveraging the lightweight MQTT protocol. This system enables seamless real-time communication between industrial devices and all control units, allowing for effective monitoring, scheduling, and management of electrical loads. By integrating IoT sensors and MQTT-based messaging, it ensures safe, Secure reliable data transmission and responsive load control. The approach helps industries reduce peak demand, avoid overloads, and improve overall energy usage efficiency. This solution is scalable, cost-effective, and suitable for smart factories aiming for sustainable and intelligent energy operations.

Typology: Thesis

2017/2018

Available from 07/11/2025

karthick-raja-2208
karthick-raja-2208 🇮🇳

108 documents

1 / 2

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
pf2

Partial preview of the text

Download "Industrial Load Management System Using MQTT Protocol for Real-Time Energy Optimization " and more Thesis Industrial management in PDF only on Docsity!

COC FIER REVERSE PROTECTION XN. a vay POT Men wm Cho Us 7 Ly tw ' . — PHISE — NEUTRAL ACDMMER CHCUT BE peas Aa 8! se f= eur TOT PRORCT Fig. 5.1 Hardware layout of the proposed system 4l In the proposed system we are controlling the load by two ways 1. Manual control, 2. Automatic control, 5.1.1 Manual Control program is shown jn Fig. 5.2. Initialize pins Connect 10 WIFI and MQTT Calculate voltage, current, power, energy Display values on LCD Select the control mode in mobile and laptop through app Fig. 5.2 Flowchart of Manual control 42