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Development of Management and Automation System Using Big Data Analytics

  • Geetha Manoharan,
  • Babasaheb Dnyandeo Patil,
  • S. Rani,
  • Eti Khatri,
  • Somya Choubey,
  • Bipin Chandra Pant

摘要

BAMSs, also known as management and automation systems, may potentially provide all building analysis and management components and functionalities. As a consequence, the operator must monitor building performance, identify anomalous energy use, determine how to improve efficiency, ensure end-user safety and privacy, etc. Big data analysis tools are being developed because they provide unique and novel solutions for successful building management. In this study, BAMS big data analytics is closely examined. It uses AI to detect people, predict loads, manage water, assess interior cleanliness, etc. Results focus on energy anomaly detection in residential and commercial buildings and energy to demonstrate how BAMSs leverage big data analytics. Significant proposals and viable action plans improve BAMS reliability and efficiency in intelligent buildings.