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How to Build a Smart Home Convertible Furniture Position Tracking System

Develop an innovative smart home system that tracks and manages the position of convertible furniture. This project combines IoT technology with space-saving furniture design, allowing users to effortlessly monitor and control their transformable living spaces through a user-friendly mobile application.

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Simple Summary

A comprehensive Smart Home Convertible Furniture Position Tracker that revolutionizes home automation by seamlessly integrating with transformable furniture to optimize living spaces.

Product Requirements Document (PRD)

Goals:

  • Create a system to track the position and state of convertible furniture in real-time
  • Develop a user-friendly mobile app for furniture control and monitoring
  • Integrate with existing smart home ecosystems for seamless automation

Target Audience:

  • Smart home enthusiasts
  • Residents of small apartments or homes with limited space
  • Interior designers and home automation professionals

Key Features:

  1. Real-time furniture position tracking
  2. Mobile app for remote furniture control
  3. Customizable automation routines
  4. Integration with popular smart home platforms (e.g., Google Home, Amazon Alexa)
  5. Energy consumption monitoring for motorized furniture
  6. Multi-user support with permission levels
  7. Historical data and usage analytics

User Requirements:

  • Intuitive app interface for easy furniture management
  • Secure user authentication and data protection
  • Reliable connectivity between furniture sensors and central hub
  • Low-latency response for real-time control
  • Compatibility with various furniture types and brands

User Flows

  1. Furniture Position Adjustment:

    • User opens mobile app
    • Selects specific piece of furniture
    • Chooses desired position or preset
    • Confirms action
    • System adjusts furniture and updates position in real-time

  2. Automation Routine Creation:

    • User navigates to automation section in app
    • Selects "Create New Routine"
    • Chooses trigger (time, event, or condition)
    • Selects furniture and desired actions
    • Sets any additional parameters
    • Saves and activates routine

  3. Multi-User Access Management:

    • Admin user opens app settings
    • Selects "User Management"
    • Adds new user with email and temporary password
    • Sets permission level (admin, standard, guest)
    • New user receives invitation and sets up account

Technical Specifications

  • Frontend: React Native for cross-platform mobile app development
  • Backend: Node.js with Express.js for API server
  • Database: MongoDB for flexible data storage
  • Real-time Communication: WebSockets for live updates
  • IoT Integration: MQTT protocol for furniture sensors and actuators
  • Authentication: JWT for secure user authentication
  • Cloud Platform: AWS for scalable infrastructure
  • CI/CD: GitHub Actions for automated testing and deployment
  • Analytics: ELK Stack (Elasticsearch, Logstash, Kibana) for data analysis

API Endpoints

  • POST /api/auth/register
  • POST /api/auth/login
  • GET /api/furniture
  • PUT /api/furniture/:id/position
  • POST /api/routines
  • GET /api/routines
  • PUT /api/routines/:id
  • GET /api/analytics/usage
  • POST /api/users/invite
  • PUT /api/users/:id/permissions

Database Schema

  1. Users

    • _id: ObjectId
    • email: String
    • password: String (hashed)
    • role: String
    • createdAt: Date

  2. Furniture

    • _id: ObjectId
    • name: String
    • type: String
    • currentPosition: Object
    • lastUpdated: Date
    • energyConsumption: Number

  3. Routines

    • _id: ObjectId
    • name: String
    • trigger: Object
    • actions: Array
    • createdBy: ObjectId (ref: Users)
    • isActive: Boolean

  4. ActivityLogs

    • _id: ObjectId
    • furnitureId: ObjectId (ref: Furniture)
    • action: String
    • timestamp: Date
    • initiatedBy: ObjectId (ref: Users)

File Structure

/smart-furniture-tracker ├── /src │ ├── /components │ │ ├── FurnitureControl.js │ │ ├── RoutineBuilder.js │ │ └── UserManagement.js │ ├── /screens │ │ ├── Home.js │ │ ├── FurnitureList.js │ │ ├── RoutinesList.js │ │ └── Settings.js │ ├── /api │ │ ├── auth.js │ │ ├── furniture.js │ │ └── routines.js │ ├── /utils │ │ ├── mqttClient.js │ │ └── permissions.js │ └── /styles │ └── globalStyles.js ├── /server │ ├── /models │ ├── /routes │ ├── /controllers │ └── /middleware ├── /iot │ ├── sensorConfig.js │ └── actuatorControl.js ├── /tests ├── README.md ├── package.json └── .gitignore

Implementation Plan

  1. Project Setup (1 week)

    • Initialize React Native project
    • Set up Node.js backend
    • Configure MongoDB database
    • Establish version control with Git

  2. Core Frontend Development (3 weeks)

    • Implement user authentication screens
    • Create furniture list and control interfaces
    • Develop routine creation and management UI

  3. Backend API Development (2 weeks)

    • Build authentication endpoints
    • Implement furniture and routine CRUD operations
    • Set up WebSocket for real-time updates

  4. IoT Integration (2 weeks)

    • Configure MQTT broker
    • Develop sensor data processing
    • Implement actuator control logic

  5. Smart Home Platform Integration (1 week)

    • Integrate with Google Home and Amazon Alexa
    • Test voice command functionality

  6. Analytics and Reporting (1 week)

    • Set up ELK stack
    • Implement usage tracking and reporting features

  7. Testing and Refinement (2 weeks)

    • Conduct thorough unit and integration testing
    • Perform user acceptance testing
    • Refine UI/UX based on feedback

  8. Deployment and Launch Preparation (1 week)

    • Set up production environment on AWS
    • Configure CI/CD pipeline
    • Prepare user documentation and support materials

Deployment Strategy

  1. Use AWS Elastic Beanstalk for backend deployment
  2. Deploy MongoDB on AWS DocumentDB for scalability
  3. Utilize AWS IoT Core for MQTT broker and device management
  4. Host React Native app builds on AWS S3 and CloudFront
  5. Implement AWS CloudWatch for monitoring and alerts
  6. Use AWS Lambda for serverless background tasks
  7. Set up GitHub Actions for automated testing and deployment
  8. Employ blue-green deployment strategy for zero-downtime updates

Design Rationale

The technology stack and architecture were chosen to provide a scalable, real-time solution for smart furniture tracking. React Native enables cross-platform development, reducing time-to-market. Node.js and MongoDB offer flexibility and performance for handling IoT data. The MQTT protocol is ideal for lightweight, real-time communication with furniture sensors. AWS provides a robust, scalable infrastructure that can grow with the user base. The modular file structure and API-first approach allow for easy maintenance and future feature additions. Security is prioritized through JWT authentication and careful permission management, essential for a smart home application.