©2012 BRS LABS. ALL RIGHTS RESERVED. CONFIDENTIAL
Technology Overview, SCADA
Leonardo Scudere – Managing Director – Latin America
July 31, 2014 – Brasilia, Brazil
Agenda
• Introductions
• BRS Labs Overview
• AISight® Overview
– Approach
– Architecture
• Alert Examples
• Data Intelligence
• Applicability
• Q&A
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About BRS LABS
• Founded 2005
• HQ in Houston, TX
• 80+ employees
• Offices in:
• Washington, DC
• London
• São Paulo
• Barcelona
• Developer of AISight®
• First reason-based, self-learning intelligent video surveillance
solution
• Artificial intelligence recognizes suspicious behavior in real
time
• 100 patents issued, pending or filed
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• Transportation
• Public Safety
• Critical Infrastructure
• Energy (Oil & Gas)
• Corporate Campuses
• Government Campuses
• Banking
• Retail, Warehousing & Distribution
• Industrial Facilities
• Fences, Borders and Site Perimeters
• Airports and Seaports
Vertical Applications
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The Problem and Our Approach
©2012 BRS LABS. ALL RIGHTS RESERVED. CONFIDENTIAL
What AISight® Observes
Challenges
• Large numbers of geographically
dispersed facilities
• Camera coverage for safety and
security
• Impossible to monitor using “feet on
the street” or staff watching monitors
• Too much territory, too many cameras,
too much footage for real-time
situational awareness and response
• Unpredictable and unexpected events
are the most dangerous
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• Today’s SCADA environments are
simply too large to monitor as a whole
(growing tag counts)
• Too much data for accurate, manual
correlation and trend analysis
• Operators with experience on the
plants cannot be replaced (operator
intuition)
• It’s often too late when a field sensor
triggers a high/low alarm set point
Video SCADA
The Failure of Analytics
• Limited Visibility (data granularity)
• No Scalability (deployment time)
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• Performance Deterioration
• Constant Maintenance
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Site 1
Inlet Pressure
Outlet Pressure
Temperature
Low Alarm
High Alarm
AISight’s Behavioral Recognition
Is The Smarter Solution
• Real-time identification of unexpected
behavior
• Teaches itself what’s relevant for every sensor
– no need for rules, predefined classifications
or custom programming
• Open systems approach leverages existing
cameras and networks
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Manageable Alert Volumes
AISight monitors the quality of each alert, with full
control over notification volume and frequency
• Operators receive the most
urgent alerts, in line with what
can be reasonably investigated
within a set time span
• Fully configurable
• Staff won’t be distracted by
large numbers of trivial alerts
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Transforms Safety & Security
• Scales without limits to monitor
hundreds or thousands of
sensors
• The only realistic solution for
detecting suspicious behavior
across large, complex and/or
multi-site deployments
Behavioral Recognition…
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Adds Value to Existing Assets
• Maximizes the utility of existing
investments infrastructure
• Increases productivity and improves alert
responsiveness for staff
• Open systems approach – no need for new
investment in new supporting infrastructure
• Non-intrusive – does not impact production
systems
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©2012 BRS LABS. ALL RIGHTS RESERVED. CONFIDENTIAL
AISight® Architecture
AISight 5, Analytic Platform
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IoT Analytics
Sensor
Manager
Machine
Learning
Engine
SC
AD
A
Database Output
Interface
API
Vid
eo
?
?
?
?
?
?
?
• Onsite hardware
and software
• SaaS and Lease
models
• Virtual machine
support
• CapEx vs. OpEx
Flexible Deployment Options
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Real-World Examples
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Real-World Examples
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SCADA Today • Today, asset health monitoring is often comprised of
fixed alarm limits manually defined within control systems, smart devices, SCADA, or historians.
• Complicated and ever-changing rule sets combined with manual trend analysis and experienced operator intuition is not sufficient in today’s environment. – Does not scale
– Cannot effectively monitor plant operations
– Prone to miss subtle precursors to failure
– Cannot see the entire picture (sensor correlation)
• The cost of a reactive position is only effective when things are running as normal.
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SCADA Beta, Results
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Raw Data
Data Normalized to Scale (0-1)
Alert Correlation
Composite Sensors for Processes
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Intelligence in the HMI
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Intelligence in the HMI
©2012 BRS LABS. ALL RIGHTS RESERVED. CONFIDENTIAL
Data Intelligence
Alert Volume by Feed
Alert Volume by Date
©2012 BRS LABS. ALL RIGHTS RESERVED. CONFIDENTIAL
Data Insight
• Scalable
• Teaches itself/adapts over time
• Designed for complex scenarios
and busy sensors
• Delivers higher quality alerts the
longer it’s in use
• Installs within 1-2 days
• Works out of the box
• No custom programming
• Enhances situational awareness
for safety, security and ops
Value Summary
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Co
st
Time
AISight
Pe
rfo
rma
nc
e
Time
Thank You!
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Cody Falcon
VP, Product Development
713-590-5158