Research papers
Explore our research papers – understand the methodologies, data, and scientific foundations behind SiteHive’s environmental management solutions.
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AI Classification of Vibration Impacts using Waveforms
SiteHive has developed an innovative new capability that uses AI to automatically classify vibration impacts, and distinguish construction from non-construction exceedances. Read the research behind the SiteHive Waveform Classifier here.
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Ground-Borne Noise Monitoring in Construction: A Real-Time, Non-Intrusive Approach
Discover how SiteHive developed a real-time, remote vibration monitoring device that accurately estimates ground-borne noise for major construction and tunnelling projects, without entering residents’ homes. It’s a ground-breaking solution that makes ground-borne noise monitoring more practical and minimises community impact.
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Advancing AI Acoustic Classification for Construction Noise Monitoring: A New Frontier in Environmental Monitoring
Discover how AI-powered acoustic classification is transforming construction noise monitoring. This powerful environmental technology can distinguish construction noise from other sounds, and automatically classify and label every noise. The technology delivers dramatic productivity improvements and real potential to improve predictive modelling.
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Initial Design & Development of MEMS-based Sound Level Meters for Real-time Construction Noise Monitoring
MEMS-based sound level meters offer a cost-effective and scalable solution for real-time construction noise monitoring. Read this research to see how, with proper calibration and signal processing, MEMS microphones can meet IEC 61672 standards. The result is accurate, real-time environmental monitoring that improves compliance, reduces costs, and provides better insights for construction projects.