• Identify savings potential – based on actual

   operational data and sensor measurements

• Plan predictive maintenance in a targeted

   manner, based on reliable status data

• Make the best use of data from temperature

   sensors, communication-capable measuring and

   switching devices, as well as from the motor

   management systems and frequency converters

• Create a structured and comprehensible
   representation of system data with
   SIMARIS control – your switchboard’s digital twin

• Visualize the switchboard state, sensor data,

   measured values, and energy demand

   in your system at a central place

• See everything you need to know – with intuitive

   touch control

• Get your operational diagnostics at the

   switchboard or by remote access

• Run analyses faster, easier, and more flexibly –
   independently of the higher automation level

• Carry out important diagnostics and analyses

   fast and easily so you can take the necessary,

   targeted measures on time

• Stay up to date by continuously collecting data on 

   the switchboard state and individual feeders with  
   the Health Index function

• Get a head start with your data – for efficient

   switchboard management

• Optimize your switchboard management

   with SIMARIS control

• Modify the digital twin at runtime to quickly,

   easily, and flexibly adapt your switchboards to

   new operational requirements

• Access switchboard documentation (parts lists,

   circuit diagrams, device manuals, etc.)

• Download the data of your SIVACON S8plus from

   existing IT structures or by using mobile devices

• Integrate your SIVACON S8plus in a

   comprehensive energy management system or

   your overall strategy for predictive maintenance

• Integrate your switchboard in higher-level

   systems and take advantage of cloud-based

   analysis systems (such as those in MindSphere)

• More transparency for optimized processes

• Greater competitive strength thanks to

   improved energy efficiency

• Higher system availability thanks to optimum
   maintenance timing