https://github.com/rprakashdass/power_consumption_analytics
Power Consumption Analytics is an IoT-based energy management system leveraging ThingSpeak and Flutter to monitor, analyze, and optimize power usage in real-time. It provides anomaly detection, dynamic dashboards, and actionable insights for energy efficiency.
https://github.com/rprakashdass/power_consumption_analytics
cloud flutter-android flutter-api-implementation flutter-examples flutter-iot-project thingspeak
Last synced: 3 months ago
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Power Consumption Analytics is an IoT-based energy management system leveraging ThingSpeak and Flutter to monitor, analyze, and optimize power usage in real-time. It provides anomaly detection, dynamic dashboards, and actionable insights for energy efficiency.
- Host: GitHub
- URL: https://github.com/rprakashdass/power_consumption_analytics
- Owner: rprakashdass
- Created: 2024-09-01T08:54:38.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-02-02T05:55:13.000Z (5 months ago)
- Last Synced: 2025-02-02T06:25:27.051Z (5 months ago)
- Topics: cloud, flutter-android, flutter-api-implementation, flutter-examples, flutter-iot-project, thingspeak
- Language: Dart
- Homepage:
- Size: 412 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Power Consumption Analytics
**Power Consumption Analytics** is a real-time IoT-based energy management system designed to monitor and optimize energy usage. By combining smart meters, cloud computing with **ThingSpeak**, and a mobile app developed with **Flutter**, this system offers an intuitive solution for efficient energy management, providing users with insights into their power consumption, detecting anomalies, and optimizing energy usage.
### Key Features
- **Real-time Power Monitoring**: Track voltage, power factor, and consumption trends.
- **Anomaly Detection**: Instant alerts for overvoltage or low power factor deviations.
- **Cloud Integration**: Data storage and processing on **ThingSpeak** cloud platform.
- **User Interface**: A dynamic Flutter-based mobile app that visualizes data and provides real-time analytics.
- **Scalability**: Supports growing numbers of devices and users, ideal for both small and large-scale applications.
### System Overview
The architecture consists of three key layers:
1. **Input Layer**: IoT smart meters measuring key electrical parameters.
2. **Processing Layer**: ThingSpeak for cloud-based data processing and analytics.
3. **Output Layer**: A user-friendly mobile interface built with **Flutter** to display real-time data, alerts, and consumption reports.
---
### Getting Started
To set up and run the system, follow these steps:
#### Prerequisites
- **ThingSpeak Account**: Sign up for an account on [ThingSpeak](https://thingspeak.com).
- **Flutter SDK**: Install Flutter from [Flutter's official site](https://flutter.dev).
- **Smart Meters**: IoT devices with Wi-Fi or Zigbee support to transmit data.
#### Installation Steps:
1. **Clone the repository**:
```bash
git clone https://github.com/rprakashdass/power_consumption_analytics.git
cd power_consumption_analytics
```
2. **Set up ThingSpeak**:
- Create a new channel on ThingSpeak and generate API keys.
3. **Configure IoT devices** to transmit data to ThingSpeak via REST APIs.
4. **Build and run the Flutter app**:
```bash
flutter run
```
5. **Monitor and optimize energy usage** using the real-time dashboards and alerts in the app.
---
### Team Members
- **Muthuraja M** - [GitHub](https://github.com/muthuraja05980)
- **Krishnan T** - [GitHub](https://github.com/Krishnan17022005)
- **Prakash Dass R** - [GitHub](https://github.com/rprakashdass)
- **Deepak Kumaran RMG** - [GitHub](https://github.com/deepakkumaran032004)
- **Bharath G** - [GitHub](https://github.com/bharathking2394)
---
### License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.