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…