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AIoT-based smart temperature management system (Leaf AI)

Leaf AI is an AI-based smart temperature management solution. It enables seamless climate control by managing HVAC systems based on indoor conditions, weather data, and usage patterns, supporting energy efficiency and ESG goals for buildings.

Technology Overview

1. Product Overview

Leaf AI provides AIoT-based building energy and temperature management services. The system reduces carbon emissions and operating costs by managing HVAC systems that account for CO₂ emissions in urban buildings. It uses AI algorithms based on temperature data, weather data from meteorological services, and building characteristics, such as floor plans and ceiling heights, to maintain optimal indoor comfort.

The system guarantees at least 10% energy savings and offers climate crisis solutions aligned with ESG practices.

2. Product Features

Remote Management

  • Allows users to check current indoor temperature and humidity, as well as outdoor weather conditions.
  • Enables users to view temperature changes based on real-time data collected by sensors.
  • HVAC systems can be controlled remotely, even when users are not present.

AI Operation (Seed AI)

  • Automatically manages space temperature using AI.
  • Automatically controls air conditioners to maintain optimal temperature at all times.
  • Uses real-time data analysis and learning algorithms to control systems remotely.

Smart Schedule

  • Allows users to set device and time schedules.
  • Enables activation or deactivation of preset schedules.
  • Supports flexible setup of preferred schedules to improve energy efficiency, especially when operating hours fluctuate.

Monitoring & History

  • 24-hour indoor temperature and humidity monitoring.
  • Provides real-time data and 24-hour history.
  • Allows users to check recent control settings and reapply them easily.

Weather Information Integration

  • Uses real-time weather updates to help choose ideal air conditioner settings.
  • No need to manually check weather conditions when traveling.

Indoor Comfort Index

  • Displays indoor comfort levels using Leaf AI.
  • The AI analyzes the environment and presents comfort data visually.

AIoT Energy Management System (Leaf AI)

Technology Video

Problem & Solution

1. Market ProblemsAIoT Energy Management System (Leaf AI)

Inefficient temperature control

  • Difficulty maintaining an optimal indoor temperature continuously.
  • Manual temperature control is time-consuming and inconsistent.

High energy consumption

  • HVAC systems often operate inefficiently due to a lack of data-driven control.
  • Increased operating costs and carbon emissions.

Lack of automation

  • Users struggle to manage temperature remotely when away from buildings.
  • Manual scheduling and operation reduce efficiency.

 

 

2. Mekonglink Solution – Leaf AIAIoT Energy Management System (Leaf AI)

The AIoT-based smart temperature management system addresses these challenges by providing AI-based automated temperature management:

  • AI predicts the ideal temperature through smart data analysis.
  • The system learns air conditioner usage patterns to optimize operation.
  • Temperature control is fully automated, reducing manual intervention.
  • Remote control enables users to manage HVAC systems anytime and anywhere.
  • Smart scheduling and weather-based adjustments improve efficiency and comfort.

 

3. Comparison with Existing Solutions

Feature Existing Manual / Conventional Control Leaf AI
Operation Manual control AI-based automatic control
Energy efficiency Dependent on user behavior Guaranteed at least 10% energy savings
Remote access Limited or unavailable Full remote management
Weather integration Not integrated Real-time weather data applied
Data utilization Minimal AI-based data analysis and learning
ESG support Limited Supports ESG and carbon reduction goals

Application & Case

Leaf AI is designed for use across various building and facility types where temperature control, energy efficiency, and carbon reduction are critical.

1. Office Buildings & Commercial Buildings

The AIoT-based smart temperature management system can be applied in office buildings to automatically manage HVAC systems based on indoor conditions, weather data, and usage patterns.

  • Optimizes temperature by zone to match actual occupancy and spatial usage.
  • Reduces unnecessary air conditioning operation during low-usage hours.
  • Supports Proof of Concept (PoC) projects with office buildings to verify energy-saving effectiveness.
  • Helps building owners reduce electricity costs while improving employee comfort.

2. Retail Stores & Shopping Malls

For retail spaces and shopping malls, maintaining comfortable indoor temperatures while controlling energy costs is a major challenge.

  • Automatically adjusts temperature based on customer flow, weather, and zone characteristics.
  • Prevents overcooling or overheating in large open spaces.
  • Enables centralized remote management of multiple stores or zones.
  • Contributes to ESG goals by lowering overall energy consumption and carbon emissions.

3. Factories & Industrial Facilities

In factories and production facilities, stable temperature control is essential for both working conditions and energy management.

  • AI-based control optimizes HVAC operation according to operational schedules.
  • Reduces energy loss caused by continuous or manual air conditioning operation.
  • Supports long operating hours with smart scheduling and automation.

Helps industrial facilities lower operational costs while maintaining suitable indoor environments.

4. Cold Storage & Logistics Facilities

Leaf AI can be applied to cold storage and logistics-related facilities where temperature consistency and energy efficiency are critical.

  • Enables precise temperature control and monitoring.
  • Uses AI-driven optimization to reduce excessive energy consumption.
  • Supports continuous operation with data-based temperature management.
  • Helps logistics operators balance energy cost reduction and operational reliability.

5. Collaboration with Air Conditioner Manufacturers

This AIoT-based smart temperature management system is designed to work alongside existing air conditioning systems and can be expanded through partnerships with major air conditioner brands.

  • Can be integrated with existing HVAC equipment without replacing systems.
  • Provides added value for air conditioner brands through AI-based energy optimization.
  • Enables joint PoC projects and scalable deployment across different building types.

AIoT Energy Management System (Leaf AI)

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