Invention Title:

SMART HVAC ROOFTOP UNITS WITH INTEGRATED AI AND THERMAL IMAGING FOR ENHANCED OPERATIONAL CONTROL

Publication number:

US20260029148

Publication date:
Section:

Mechanical engineering

Class:

F24F11/63

Inventor:

Assignee:

Applicant:

Smart overview of the Invention

The Smart Rooftop Unit (SRTU) integrates infrared thermal imaging and artificial intelligence (AI) to enhance HVAC performance. Strategically placed infrared cameras capture thermal images for real-time monitoring, allowing the system to optimize defrost cycles and manage heating and cooling loads efficiently. The AI-driven control system interfaces with building management systems to adjust operations based on occupancy, air quality, and weather conditions. The modular design facilitates easy assembly, maintenance, and upgrades, while advanced sensors ensure optimal operation and energy efficiency.

Field and Background

This invention pertains to rooftop units (RTUs) used in commercial and industrial buildings for heating, ventilation, and air conditioning. Traditional RTUs often face limitations such as inefficient defrosting processes, reactive maintenance, and lack of real-time data analysis. These units rely on discrete sensors for temperature monitoring, which may not provide a comprehensive thermal profile. The SRTU addresses these issues by utilizing thermal imaging and AI to predict maintenance needs and optimize system performance.

Environmental Considerations

Buildings contribute significantly to energy consumption, especially in developed countries, impacting environmental sustainability. The construction industry is encouraged to adopt sustainable practices, such as those outlined by the LEED certification program, to reduce environmental impact. The SRTU aligns with these standards by improving energy efficiency and minimizing the carbon footprint of HVAC systems, contributing to more sustainable building operations.

Technical Features

The SRTU uses infrared thermal imaging to convert thermal images into digital value patterns, generating heat maps and dynamically adjusting defrost parameters based on AI analysis. This system ensures optimal performance, maintaining comfortable indoor environments while reducing energy consumption and maintenance costs. The AI system predicts potential issues, such as overheating, and recommends proactive maintenance, extending the lifespan of critical components.

Operational Benefits

Multiple infrared cameras provide comprehensive thermal coverage, allowing the AI system to detect anomalies and optimize performance. The system dynamically adjusts cooling loads, fan speeds, and defrost cycles to ensure efficiency. Users can monitor the system via a user-friendly interface, receiving alerts and maintenance recommendations on mobile devices. The SRTU adapts to varying environmental conditions and operational demands, providing reliable and efficient operation in diverse settings.