About Courant

Revolutionizing Power Management for MSMEs with IoT Integration and Predictive Maintenance

Project Overview

Abstract

Courant: Revolutionizing Power Management for MSMEs with IoT Integration and Predictive Maintenance using Isolation Forest and LSTM Algorithms is a progressive web application that monitors power consumption and provides data-driven insights to MSME owners. Designed to improve efficiency, reduce costs, and prevent equipment damage, it features remote device management, real-time alerts, and AI-powered predictive maintenance.

Courant operates with EDMER devices, IoT hardware where appliances are connected to measure consumption and detect anomalies. On the MSME side, users can register accounts, link devices, profile appliances, monitor energy use, receive maintenance insights, generate reports, and access system support. For super administrators, the platform provides account management, device whitelisting, energy-saving content, and configuration tools.

Evaluated by 50 respondents spanning MSME owners and licensed IT, ECE, and EE experts under ISO 25010 standards, Courant achieved an overall mean rating of 4.52, validating its reliability, functionality, and effectiveness in addressing MSME energy management needs.

Complete Technical Documentation

Read our comprehensive research paper for detailed methodology, technical specifications, and evaluation results.

Read the White Paper

Research Team

John Edmerson L. Pizarra

John Edmerson L. Pizarra

Lead Researcher

Kevern Joebert C. Angeles

Kevern Joebert C. Angeles

Research Team Member

Jian Ross G. Dela Rosa

Jian Ross G. Dela Rosa

Research Team Member

Florence Gayle C. Magpoc

Florence Gayle C. Magpoc

Research Team Member

The Problem We're Solving

Micro, Small, and Medium-sized Enterprises (MSMEs) face significant initial hurdles in adopting advanced power management systems, beginning with foundational challenges in utilizing the Internet of Things (IoT). The primary issues include:

Connectivity Challenges

Difficulty in securely registering and linking IoT devices to web applications, creating barriers for many MSMEs.

Data Context Issues

Limited value from raw data without proper appliance profiling and contextual analysis for meaningful insights.

Reactive Maintenance

Lack of systems to predict electrical faults, forcing businesses into reactive rather than proactive maintenance models.

Our Objectives

Enable MSMEs to register and create business accounts through our registration module

Allow device linking through our IoT device identification module

Provide appliance profiling capabilities for better energy tracking

Enable remote appliance power management through socket control

Deliver real-time power consumption and power factor monitoring

Provide AI-powered predictive maintenance insights and recommendations

Technology Stack

Software Components

PHP & Laravel Framework
Python & Flask
FilamentPHP Admin Panel
TensorFlow & NumPy
MySQL Database
MQTT Protocol

Hardware Components

NodeMCU (ESP8266) Microcontroller
PZEM-004T 100A Power Sensor
Multi-channel Relay Module
Overcurrent Protection Fuse
Wi-Fi Connectivity Module

Research Results

Overall System Rating

4.52

Out of 5.0 - Excellent Rating

Based on ISO 25010 standards evaluation by 50 respondents

Functional Suitability

4.6
Excellent

Performance Efficiency

4.49
Very Good

Security

4.55
Excellent

Maintainability

4.52
Excellent

Implementation Success

98% of respondents were in favor of implementing the system because it is reliable, user-friendly, and effective. Courant combines essential modules such as monitoring, predictive maintenance, reporting, and learning resources into one application, making it convenient and beneficial for MSMEs in managing their power consumption.

Development Methodology

We adopted the Rapid Application Development (RAD) methodology for developing our IoT-based system, promoting rapid prototyping, iterative testing, and continuous user feedback.

1

Requirements Planning

Establishing scope, objectives, and essential requirements through stakeholder collaboration.

2

User Design

Developing detailed system models and prototypes with wireframes and UI design.

3

Rapid Construction

Building core functionality using iterative processes with continuous user feedback.

4

Cutover Phase

Final deployment with comprehensive testing and ongoing maintenance support.

Future Enhancements

Enhanced Predictive Maintenance

Include corrective actions, allowing the system to automatically address or prevent faults when possible.

Advanced Monitoring

Expand capabilities to cover issues requiring physical inspection such as overheating and mechanical damage.

Connectivity Improvements

Implement measures to minimize delays in real-time reporting caused by internet interruptions.

Hardware Upgrades

Upgrade hardware to support appliances with load above 10A (2,200 W) and increase simultaneous monitoring capacity.

Ready to Transform Your Energy Management?

Join the revolution in smart energy management for MSMEs. Experience the power of IoT integration and AI-driven predictive maintenance.