Organization and Storage of Building Data Streams

Jorge Ortiz

Building Energy Consumption Consume 40% of energy in the US

Consume 72% of electricity in the United States 30% of energy consumed in buildings is wasted

Building built according to models No benchmarks or operational performance

metrics No system validation Buildings change over time which affects

efficiency

Overview

Making use of available information streams Supervisory control and data acquisition

(SCADA) data examination and integration

Organization, storage, and querying of SCADA data

Shorting-comings Goals for monitoring and actuation

system Integrated Sensor Stream Storage

System (IS4) architecture

Making Use of Building Data While continuing to build and deploy

a dense monitoring fabric… Use data from sensors already in the

building SCADA system often pre-installed

Acquired the data from facilities, dump into database, and query

Use data for visualization, modeling, etc.

SCADA SystemsSupervisory Control and Data Acquisition

+SODA4R787__ART

+Data

Problem With SCADA No systematic data

organization Metadata embedded in UI

and filenames No easy to find context

information Incomplete data

Missing type descriptions, location information

Low data yield

Capturing Building Layout

Chiller

Pump

Chiller

Pump

AHUSF EF

Vent Vent

Zone

Element Relationships Building Systems Spaces/Zones Structural relationship Sensors/Actuators

Inside systems Inside zones/spaces

Types

Chiller

Pump

Chiller

Pump

AHUSF EF

Vent Vent

Zone

SystemSpace

Element Schema

Relevant Queries

List temperature sensors on 4th floor of Soda hall SELECT id FROM zone_sensors WHERE

building=‘Soda’ and floor=4 AND id LIKE ‘%ART’

Get all temperature sensor data in the last day on the 4th floor of Soda SELECT * FROM sensor_data WHERE

id=[list of sensors] AND timestamp >= ’ 2009-12-16 00:00:00’ and timestamp<=now()

Models and Visualization

Visualization and modeling based on historical data

Active Management and Control Real-time monitoring, control, and

actuation Goals

Analyze the data as it is collected Pipe data feed to modeling and visualization

software components Use incoming data and model output for

online decision-making and control▪ Models set context for data, data adjusts model

Actuation

Storage System Design Traditional data

collection components

Storage System Design

Current State and Ongoing Work Current State

Application API available Data publishing system available

Ongoing work Stream processing engine Subscription manager

Open questions Scalability▪ Publisher/subscriber management

Data management▪ How much data should be archived?

Security

More information

http://webs.cs.berkeley.edu/building_schema JSON building schema available Application API specification available

Questions?

Extra Slides

Capturing Building Layout (JSON Schema Organization)