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ECoMeter+: Advanced Energy Monitoring and Management System

Table of Contents

  1. Introduction
  2. Problem Statement
  3. Our Solution
  4. Key Features
  5. Objectives
  6. Technical Specifications
  7. Setup and Usage

Introduction

Welcome to ECoMeter+ – your personal smart assistant for efficient energy management. ECoMeter+ combines real-time monitoring with predictive insights to empower you with complete control over your electricity consumption.

Imagine having a system that not only monitors your energy use but also predicts future bills, compares your efficiency with others, and quantifies your environmental impact – all in one place.


Problem Statement

In today's rapidly evolving energy landscape, households face a significant challenge: the lack of a robust system for real-time monitoring of electricity consumption. This deficiency often leads to unnecessary energy wastage, resulting in inflated electricity bills and increased environmental impact. Despite the proliferation of smart home devices, there remains a critical need for an integrated, user-friendly tool that enables individuals to effectively track and optimize their energy usage patterns.


Our Solution

ECoMeter+ bridges this gap by providing an all-encompassing platform that combines hardware and software components to deliver unparalleled energy insights. It tracks consumption, predicts usage patterns, and quantifies environmental impact, offering users a holistic view of their energy profile.


Key Features

  1. Real-time Consumption Monitoring

    • Instantaneous access to usage data
    • Graphical representations for intuitive understanding
    • Historical data retrieval capabilities
  2. Predictive Billing System

    • Machine learning-powered bill forecasting
    • Strategic planning tools for consumption adjustment
  3. Comparative Efficiency Ranking

    • Benchmarking against similar households
    • Promotes healthy competition for energy efficiency
  4. Carbon Footprint Assessment

    • kWh to CO₂ conversion calculator
    • AI-driven future impact predictions
  5. Intelligent Notification System

    • Customizable consumption alerts
    • Actionable tips for energy conservation
  6. Comprehensive Reporting

    • Monthly efficiency comparison reports
    • Detailed utilization and environmental impact summaries

Objectives

  1. Facilitate cost reduction in electricity consumption.
  2. Revolutionize energy management through detailed data insights.
  3. Provide accessible tools for efficiency awareness and environmental impact assessment.
  4. Develop an integrated platform for comprehensive energy management in residential and commercial settings.
  5. Foster a societal shift towards conscientious energy utilization.

Technical Specifications

ECoMeter+ combines robust hardware with sophisticated software for a seamless user experience.

Hardware Software
ESP32 Microcontroller React (Frontend)
ACS712 Current Sensor Django (Backend)
Voltage Divider Circuit Postman (API Testing)
OLED/LCD Display Machine Learning Models
Wi-Fi Connectivity Data Visualization Libraries
Custom PCB Cloud Hosting Services

Hardware Details

  • ESP32 Microcontroller: Processes sensor data and communicates with the backend via Wi-Fi.
  • ACS712 Current Sensor: Measures current drawn by the load accurately.
  • Voltage Divider Circuit: Steps down AC voltage to safe measurable levels.
  • OLED/LCD Display: Displays real-time readings locally.
  • Wi-Fi Module (integrated): Sends data to cloud servers.
  • Custom PCB: Designed for compact integration and reliability.

Software Stack

  • React: Builds our responsive, intuitive frontend dashboard.
  • Django: Provides a robust backend framework for data processing and APIs.
  • Postman: Used for API testing and documentation.
  • Machine Learning: Implements predictive models for usage forecasting and anomaly detection.
  • Data Visualization Libraries: For clean, user-friendly graphs and charts.

Setup and Usage

Hardware Setup

  1. Connect the ACS712 sensor to the ESP32 as per schematic.
  2. Build the voltage divider circuit for safe voltage readings.
  3. Integrate the OLED/LCD display to the ESP32 for local monitoring.
  4. Power the system using a stable supply and ensure correct grounding.
  5. Upload the firmware using Arduino IDE or PlatformIO.

Software Setup

  1. Clone this repository:
    git clone https://github.com/aswinharikrishnan/ECo_meter.git
    cd ECo_meter
    

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