Contact person: Business Client

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Location: Bengaluru, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Digital Twin AI-Based Intelligent HVAC Heating and Cooling System with Predictive Maintenance (MATLAB & Simulink)
Project Description:

We are seeking an experienced MATLAB/Simulink engineer with strong expertise in Digital Twin modeling, HVAC control systems, and AI-based predictive maintenance.

The goal is to develop a Digital Twin model of an HVAC (Heating, Ventilation, and Air Conditioning) system that can:

Simulate real-time HVAC operations,

Predict equipment failures before they occur,

Optimize energy efficiency through intelligent control strategies.



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Objectives:

1. Develop a complete Digital Twin of the HVAC system using MATLAB and Simulink, including:

Heating and cooling coils

Compressors and fans

Air handling units (AHUs)

Sensors for temperature, humidity, air quality, and occupancy



2. Implement AI/ML algorithms in MATLAB for:

Predictive maintenance and fault detection

Energy consumption optimization

Anomaly and trend analysis



3. Integrate real-time data from IoT or simulated sensor inputs.


4. Create a dashboard or visualization interface within MATLAB/Simulink (or via App Designer) to display:

Real-time performance metrics

Maintenance predictions and alerts

Energy and efficiency analytics





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Technical Requirements:

Software: MATLAB, Simulink, Simscape, MATLAB App Designer, and MATLAB Predictive Maintenance Toolbox

Skills:

HVAC system modeling and control

Machine learning (predictive maintenance, regression, anomaly detection)

Digital Twin architecture design

Real-time data simulation and system optimization


Optional Tools:

Simulink Real-Time or OPC interface for hardware-in-the-loop simulation

MATLAB Report Generator for automatic result summaries




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Deliverables:

1. Functional MATLAB/Simulink model of the HVAC Digital Twin


2. Predictive maintenance module integrated with the simulation


3. Data visualization interface / dashboard


4. Documentation and test results


5. Final report explaining algorithms, model design, and simulation outcomes




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Project Duration:

Estimated 6–8 weeks, milestone-based development preferred." (client-provided description)