Robotic Machine Learning System for Buildings

Designing, Engineering and Document Specification for Electrical Building Envelops. Automating Building Envelope with IBM DB2 Servers, Geolocation, Zoning and Easement regulations, Use IBM Watson studio to generate ML Building Robotics models. Finally generate Electrical Eskelethons for sustainable and green building solutions.

Steps to design and build an Energetik system requires selecting GeoLocation, Zoning Land Used Parameters, Electrical loads and Robotic Platform. Once selected this parameter a Robotic Machine Learning Cluster build on our lab in New York City generates Document, Graphics and Models to be distributed among building constructions teams.

1- Select Building Information, Property, Lot, Zoning Data, Land Used Data Mapping and Geolocation information

2- Choose Building envelop Models Residential, Comercial or Manufacturing and download as Revit Models

3- Load information into Robotic Platforms. Power up Sensors and Spectrum Analyzer. Integrating Design and Manufacturing teams by sharing models using Autocad, Eagle, Fusion 360, A360, Revit, BIM 360

5- Automated Drawing design Process

Energetik Envelop Inc