energy data visualization
Download
Skip this Video
Download Presentation
Energy Data Visualization

Loading in 2 Seconds...

play fullscreen
1 / 22

Energy Data Visualization - PowerPoint PPT Presentation


  • 83 Views
  • Uploaded on

Energy Data Visualization . Bill- Jinsong Wang CS Kent Sate Fall 2013 . Paper Information .

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Energy Data Visualization ' - jerica


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
energy data visualization

Energy Data Visualization

Bill-Jinsong Wang

CS Kent Sate

Fall 2013

paper information
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
Key Words
  • Energy monitoring
  • Data visualization
  • Smart Green City
  • Spatial information model
  • EnerISS (Energy Integrated Urban Planning & Managing Support System)
  • Social sensing
background
Background
  • IoT, Web.o.t
  • Smart City(Sensor Networking/Senor Data)
  • Smart Grid
  • SCADA (supervisory control and data acquisition)/ICS
abstraction
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
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
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
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
Data optimization for 3D city representation
  • Modeler
  • Parametric Building
  • Google Earth Plugin
  • KML
visualization strategy
Visualization strategy
  • easy-to-use interface and a suitable representation method
  • Color, Height, 3d Geometry, Alpha Value
implementation lods
Implementation – LODs
  • 4 LOD: Grid < Block < Building < Floor
implementation middleware
Implementation – Middleware
  • Due to Web Base Requirement
  • Client  Vis Comp & DB Comp  Sensor & CIS
implementation data structures
Implementation – Data Structures
  • Advantages:
  • 1. Strong Accurate
  • 2. More Kinds of Data
  • To enhance System performance and Information Visualization Method
implementation addition
Implementation – Addition
  • Large Data Treatment
  • Diversity Representations
  • Socials
ad