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Di-BOSS integrates building subsystem data into a dashboard that uses machine-learning algorithms to continuously analyze data stream. Analysis provides real-time recommendations for system adjustments, identifies energy inefficiencies, targets preventive maintenance, and gives early warning of potential system instabilities. System tracks building occupancy continuously and on a large scale and links occupancy trends with other data feeds to tailor system settings.
Content Category: Building Automation