Case Study: Air Quality and Noise Monitoring during Construction

Industry: Construction

🧩 Challenge

A leading construction company undertook a major build out project within an active R&D facility housed in a multi-storey building. While construction was underway on one floor, fully operational laboratories continued functioning on the floors above and below.

The client needed to continuously monitor air quality and noise levels during the build out to ensure that adjoining laboratories were not adversely affected. Additionally, audit logs and verifiable data were required to demonstrate compliance and to assure internal safety and environmental standards.

💡 Ai-DEA Labs’ Solution

Ai-DEA Labs deployed a combination of Indoor Air Quality (IAQ) monitors, Echo Loggers, and Noise Sensors — a total of 15 devices strategically installed across the active construction and adjoining laboratory zones.

These devices provided real-time visibility into particulate matter, gases, temperature, humidity, and ambient noise, while also maintaining detailed historical data logs for compliance and audit purposes.

⚙️ Implementation

• 4 person-days of detailed system study and configuration

• Deployment completed within 5 days on a Private Cloud server with role-based access

• Seamless data acquisition through IoT-enabled devices integrated with Ai-DEA Labs’ Enterprise Monitoring System (EMS)

• Continuous data logging with alert thresholds for air quality and sound levels

  
  

🚀 Results & Impact

• Real-time and historical monitoring of air quality and noise ensured minimal disruption to adjoining operations

• Provided audit trail data validating compliance with safety standards

• Helped the client maintain operational continuity across active laboratories

• Reinforced trust and transparency with internal safety and compliance teams

  
  

📊 Key Takeaway

Through proactive environmental monitoring, Ai-DEA Labs enabled a leading pharmaceutical company to safely execute construction within an operational facility—balancing progress, safety, and compliance with data-backed precision.