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Technology


             ƒ Precautionary maintenance and optimized   It must also be ensured that a BMS can
           servicing: analysis of failure probability,   also control room and system automation.
           timely maintenance and consequential   In many cases, the specific behavior of, for
           avoidance of technical failures.  example, room-side bus systems and system-
             ƒ Employee-oriented value-added services:   side controllers is hard-coded and cannot be
           mobile devices can – for instance – be used   influenced by the BMS. This ability to influence
           to generate space utilization forecasts, view   must be guaranteed, which means that all
           canteen usage intensity, request parking   controllers and systems must be connected
           space availability and preferred workspace   to each other for communication purposes.
           location or select individual meals.  This requires a powerful and standardized
             ƒ Compensation of skilled-staff shortages:   TCP/IP-based protocol, with  BACnet/IP and
           making effective use of facility maintenance   BACnet/SC being particularly suitable options.
           staff in managing the building’s technical
           systems.                         In addition, it must be taken into account that the
             ƒ Focus on meaningful sensor data: generate   AI platform requires as much data as possible
           as much data as possible from as few   from a wide variety of sensors for effective
           sensors as possible – reducing redundancy,   operation. Wiring the required number of sensors
           cutting investment and operating costs.  would be very complex and expensive, especially
                                            in an existing building. Radio-based sensors are
          Demands upon System Architecture  a good solution here, ideally battery-free and
                                            maintenance-free energy harvesting sensors
          An AI platform is indispensable for the  such as those with EnOcean technology.
          introduction of intelligent learning processes
          such  as  those  described  above.  This  can  be  All of this information can then be used to
          either cloud-based or server-based. Cloud-  create cloud-based digital twins and further
          based  server  farms  offer  more  processing  improve the monitoring of activities, the working
          power, and cloud-based AI frameworks offer  environment,  augmented  reality,  productivity,
          a broader range of features, so this currently  and the health and safety of building users.
          represents common practice.
                                            Conclusions
          The AI platform is built on a Smart Building
          infrastructure, and all technical systems  AI-based processes enable  a broad range  of
          should ideally be connected to a BMS (Building  applications in the field of building automation.
          Management System). The BMS must be able to  The concrete benefits anticipated from AI-based
          govern the building facility and room automation  solutions should be clearly defined before
          systems.                          implementation, since this plays a determining role
                                            in the choice of learning process and its modelling,
          Requirements for Building Infrastructure  as well as in the choice of AI platform and the type,
                                            number and location of the energy harvesting
          AI-based processes require high computing  sensors needed to supply the data inputs.
          power and are therefore best run on a dedicated
          AI platform. This can be cloud-based or run on
          a server in the company’s own data center. Due
          to the higher computing power of cloud-based
          server farms and the currently greater scope of
          services offered by cloud-based AI frameworks,
          this option is shown in Fig. 2.
                                                              Prof. Dr. Michael Krödel
          This figure also shows that a smart building must   Professor of Building Automation and
          be in place as a basis for the use of AI-based      Building Technology at Rosenheim Technical University
          processes. It is important that all building services   michael.kroedel@th-rosenheim.de | www.th-rosenheim.de
          in this smart building are connected to a building
          management system (BMS) for communication
          purposes. In many cases, building automation
          is still implemented in such a way that room-
          side and system-side automation are operated
          separately from each other as respective            Graham Martin
          island systems. This must be converted into a       Chairman & CEO | EnOcean Alliance
          holistically networked installation.                graham.martin@enocean.com | www.enocean-alliance.org




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