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Operators of IoT-enabled Smart Buildings: Level 2
  • Module 1: Selection of IoT equipment for optimal energy efficient building automation
    • Unit 1.1: Introduction to IoT equipment, linked to indicative applications
    • Unit 1.2: Selection of IoT equipment per application domain
  • Module 2: Optimisation strategies to meet quality of service criteria
    • Unit 2.1: Introduction to optimisation methods and strategies
    • Unit 2.2: Introduction to some optimization algorithms
    • Unit 2.3: Examples of useful algorithms from the literature
  • Module 3: Building scoping towards operational improvements
    • Unit 3.1: Review of the different modus vivendi of buildings (commercial, housing, health, education, working, leisure)
    • Unit 3.2: How the function of a building affects the BMS operational activities
    • Unit 3.3: How IoTs improve operational capacity in each building function
  • Module 4: Preventive and predictive maintenance and troubleshooting principles, damage control
    • Unit 4.1: The purpose of preventive and predictive maintenance
    • Unit 4.2: Workflow for troubleshooting (including damage/emergency control)
  • Module 5: Diagnostics for smart buildings
    • Unit 5.1: The role and importance of diagnostics in buildings
    • Unit 5.2: Smart building data analysis for diagnostics
  • Module 6: Enhanced automation and reduction of human intervention
    • Unit 6.1: The benefits of automation for human operators
    • Unit 6.2: Transformation of the building operator profile in the IoT era
    • Unit 6.3: Examples of commercial solutions (simple cases)
    • Unit 6.4: Limitations of automation solutions
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Acknowledgements
The LMS has been co-funded by the Cyprus Research Promotion Foundation / Programme RESTART 2016 – 2020 / I. SMART GROWTH / RESEARCH IN ENTERPRISES under Grant Agreement ENTERPRISES/0916/0040


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