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AI-Enabled Smart AC Control

AI Smart AC Control for HVAC Energy Savings

AI-driven control for split, VRF, chiller, AHU and FCU systems. Analyse occupancy and weather patterns, automate setpoints and schedules, and deliver 20–40% HVAC energy savings in monitored deployments — using IR blasters, BACnet and Modbus to work with the equipment you already have.

Split AC
Centralised HVAC
AI Analytics
Energy Savings
20-40%
Energy Savings
15min
Response Time
24/7
AI Optimisation
100+
AC Brands

Split-Type AC Control

Universal control for wall-mounted, cassette, and ducted split units from any manufacturer. No equipment replacement required.

IR Smart Control

Universal IR blasters for any split AC brand without replacing units

Mobile App Control

Remote on/off, temperature, and mode control from any device

Smart Scheduling

Automated schedules based on occupancy patterns and calendars

Setpoint Optimisation

AI-recommended setpoints balancing comfort and efficiency

Centralised AC Systems

Optimisation for chiller plants, AHUs, VRF systems, and FCU/VAV terminals through BMS integration or direct control.

Chiller Optimisation

Sequencing and load balancing for multi-chiller plants

AHU/FCU Control

Supply air temperature reset and VAV box optimisation

Demand Response

Automatic load shedding during peak demand periods

BMS Integration

BACnet/Modbus connectivity with existing building automation

AI-Powered HVAC Optimisation for VRF, Chiller, AHU and FCU Systems

Smart AC control with HVAC optimisation across VRF, chiller, AHU and FCU equipment — machine-learning algorithms continuously analyse occupancy, weather and thermal behaviour to optimise AC operation automatically.

Pattern Learning

Learns occupancy, weather correlation, and thermal behaviour

Predictive Control

Pre-conditions spaces before occupancy for optimal comfort

Anomaly Detection

Identifies inefficient operation and equipment issues

Energy Analytics

Detailed consumption breakdown and savings tracking

How It Works

From data collection to automated control in four steps

1

Connect

Install IR blasters or integrate with BMS via BACnet/Modbus

2

Learn

AI analyses occupancy patterns, schedules, and thermal behaviour

3

Optimise

System recommends setpoints and schedules for maximum efficiency

4

Control

Automated direct control adjusts AC in real-time based on conditions

Supported AC Brands

Universal IR control for split units, plus native API integration for VRF systems.

DaikinMitsubishiLGSamsungPanasonicFujitsuHitachiTraneCarrierYork

Integration Options

Flexible connectivity for any building infrastructure.

IR Blaster (Split AC)Supported
BACnet IP/MSTPSupported
Modbus TCP/RTUSupported
VRF Native APIsSupported

Use Cases

Energy optimisation across building types

Commercial Offices

Occupancy-based zone control

Retail Spaces

Operating hours optimisation

Hotels

Guest room automation

Data Centres

Precision cooling control

Frequently Asked Questions

How does AI learn and optimise AC usage patterns?

The AI engine continuously analyses occupancy patterns from sensors, calendar integrations, and historical data. It learns when spaces are typically occupied, correlates this with weather forecasts and building thermal mass, then automatically pre-cools or pre-heats to maintain comfort while minimizing runtime. The system adapts to seasonal changes and special events, improving efficiency over time.

What types of AC systems are supported?

The platform supports split-type AC units (wall-mounted, cassette, ducted), VRF/VRV multi-split systems (Daikin, Mitsubishi, LG, Samsung), centralised chiller and AHU systems, and FCU/VAV terminal units. Integration methods include IR blasters for split units, manufacturer APIs for VRF systems, and BACnet/Modbus for centralised BMS systems.

How much energy savings can I expect?

Typical energy savings range from 20-40% depending on current practices and building characteristics. Savings come from eliminating unnecessary runtime when spaces are unoccupied (typically 30-50% of operating hours), optimising setpoints based on real occupancy rather than schedules, and reducing peak demand through intelligent load shifting and pre-conditioning strategies.

Can the system integrate with existing BMS infrastructure?

Yes, the platform integrates with major BMS platforms (Honeywell, Johnson Controls, Schneider, Siemens) via BACnet IP/MSTP, Modbus TCP/RTU, and manufacturer APIs. For buildings without BMS, we provide IoT gateways with IR control for split units and relay control for packaged systems, enabling smart control without replacing existing equipment.

How does occupancy-based control work in open-plan offices?

The system uses a combination of occupancy sensors (PIR, CO2, desk booking data) and zone mapping to determine real-time space utilisation. In open offices, it identifies which zones have active occupants and adjusts cooling/heating accordingly. Unoccupied zones enter setback mode while maintaining air quality and preventing thermal stratification.