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Solutions

Discover a range of solutions from RockwonIT Global

Digital Twin

Smart Building Solution

Disaster Safety Multiple Convergence Sensing and Cognitive Augmentation Visualization Prototype

Visualization and framework technologies that support multidimensional and ultra-precision analysis are implemented by converging and complex sensing data in visible and non-visible areas, converting and intermediating them into standard forms, and processing, analyzing, and reconstructing them for intuitive understanding.

  • Develop multi-dimensional/visualization conversion tool (CS Script) from XML files defining building attributes and implement precise visualization inside the building
  • Real-time sensor data and history data are displayed through interworking with internal servers
  • Through diffusion simulation, predicting the contents of diffusion risk that may occur in the event of a building fire

Energy management and optimization of energy-intensive buildings

Real-time building energy
information

Building as a whole
(General Building & Data Center)

  • -Building information (total area, purpose, area by use, heating and cooling area, etc.)
  • -Energy IOT sensor information(wireless/virtual sensor)
  • -Building energy consumption(energy consumption by energy source/use/demand destination, primary energy consumption, etc.)-
  • -Ambient air temperature/humidity(energy load expression)

Query data information

Building Space & Major Facilities

  • -Building energy consumption by building zone
    (by floor/use)
  • -Facility type
  • -Facility operation status (cooling and heating/ventilation/lighting, setting temperature of heating and cooling, etc.)-
  • -Facility performance, efficiency (capacity, rated/power consumption, COP, cold/hot water inlet/outlet temperature, etc.)
  • -Operation status (On/Off)

Digital Twin Standardization

Building Energy Services

Service

  • -Intelligent building energy saving service (Energy optimization service, etc. responding to dynamic demand)
  • -Comfortable indicators (PMV, PPD, indoor temperature/humidity/CO2/lightness, gender chart, etc.)
  • -Optimal control (energy data (forever, power/lighting, renewable, smart meter) & environmental data (climate, fine dust, in-house detection, sensor) etc.)
  • -Condition/failure detection(Main facility failure mode and monitoring data type analysis and measurement system establishment) + virtual patrol

Building Energy Simulation

Simulation

  • -Building Load Prediction (Development of Building Energy Sensor and Simulation Data Linkage Load Prediction Techniques Considering Environmental Variables)-
  • -Optimal Control Simulation(Development of Energy Management Optimal Control Algorithm Linkage Using Comfortable Index)
  • -Prediction conservation simulation (Improvement of failure detection algorithms and derivation of optimal operation plan through data sensor application)
  • -Optimal Control of Building Energy in conjunction with Virtual Sensor and Simulation Data
    (Development (Development of Building Energy Sensor and Simulation Data Linkage Load Prediction Techniques Considering Environmental Variables and Application of Real-Time Simulation Environment of Building Energy Using Reduced-order Model (ROM) Techniques)