Energy Data Visualization Bill-Jinsong Wang CS Kent Sate Fall 2013
Dec 22, 2015
Energy Data Visualization Bill-Jinsong Wang
CS Kent Sate
Fall 2013
Paper Information
Title: Integrated energy monitoring and visualization system for Smart Green City development - Designing a spatial information integrated energy monitoring model in the context of massive data management on a web based platform
Authors: Sung Ah Kim, Dongyoun Shin, Yoon Choe Thomas Seibert, Steffen P. Walz
Date: 2011
Key Words
Energy monitoring
Data visualization
Smart Green City
Spatial information model
EnerISS (Energy Integrated Urban Planning & Managing Support System)
Social sensing
Background
IoT, Web.o.t
Smart City(Sensor Networking/Senor Data)
Smart Grid
SCADA (supervisory control and data acquisition)/ICS
Abstraction
U-Eco City is a research and development project initiated by the Korean government.
Objectives: monitoring and visualization of aggregated and real time states of various energy usages represented by location-based sensor data accrued from city to building scale.
Middleware: browser-based client
interfaces with the Google Earth and Google Maps plug-ins
EnerISS Architecture
Modeler: 3D Modeling, Transfer to Solver (by E-GIS)
Viewer-Solver: Energy Demand (by E-GIS & Spatial)
Viewer-Evaluator: Analyzes Strategies (by SEE)
Viewer-EMS: does interactions (Inside Viewer or SCADA)
5 DBs for E-GIS, Spatial, SEE, SCADA, Sensors
Challenges & Characteristics Real-World Challenge (Sensor Signal, Large Scale Data)
Functionality – Game Like (interface)
• Web based platform
• Intuitive statistical data visualization
• Real-time based sensor data collection and data aggregation
• Dynamic data loading and visualization
• Extensible city information
Energy Saving
CO2
Urban data structure model
The existing GIS system and diverse Building Information Model (BIM) technologies can represent the 3D geological environment
Pre-Made
Data optimization for 3D city representation
Modeler
Parametric Building
Google Earth Plugin
KML
Visualization strategy
easy-to-use interface and a suitable representation method
Color, Height, 3d Geometry, Alpha Value
Implementation – LODs
4 LOD: Grid < Block < Building < Floor
Implementation – Strategy
Implementation – Middleware
Due to Web Base Requirement
Client Vis Comp & DB Comp Sensor & CIS
Implementation – Data Structures
Advantages:
1. Strong Accurate
2. More Kinds of Data
To enhance System performance and Information Visualization Method
Implementation – Testing
Implementation – Addition
Large Data Treatment
Diversity Representations
Socials
Conclusion & Future
ANY QUESTION?
Then…