PI System. & the Greater Technology Landscape. Penny Gunterman, PhD Product Marketing Manager. #OSIsoftUC #PIWorld 2018 OSIsoft, LLC
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1 PI System & the Greater Technology Landscape Penny Gunterman, PhD Product Marketing Manager
2 Intro to PI System Track: New to PI System? We ll get you up to speed! Landscape Crash Course Asset Monitoring Analytics PI System & the greater technology landscape Get the most out of PI World Intro to condition based maintenance with the PI System Intro to analytics in the PI System
3 Questions we will address in this talk PI SYSTEM LANDSCAPE ARCHITECTURE What is PI System? What s different about operational data? What does a basic deployment look like?
4 What is PI System? Answer: Superior to Cake System
5 Different business groups have different needs Production Manager What is the forecast of productivity? Maintenance Engineer I need to know the moment it goes out of tune Process Engineer The equipment is not working what s the problem? Control Room Technician The process is like a baby you have to watch it Reporting Analyst I need to combine data from 3 sources in 1 report. Data Scientist Can we find new savings with machine learning?
6 Answers are in the data, but it s surprisingly hard to get to Remote Locations Secure Environments Requires Coding
7 Answers are in the data, but it s often hard to understand What is this? Temperature Speed Batch ID Distance What units? F or C mi/hr psi 37 From what? Boiler Pump Truck Transformer Where is it? HQ Off-shore Springfield Raw data needs context to make it consumable information
8 Goal of PI System is to connect people with data & information One-stop-shop Viewing layer User configured
9 Why do I keep hearing the word infrastructure? Power Grids Systems & organizations that move something of value from: Point A Where it is Traditional Infrastructure Roads & Public Transportation Water Point B Where it needs to go Banking & Finance 2
10 PI System is a digital infrastructure for sensor-based data POINT A Data Sources POINT B People & tools that use data for operational insights & improvements Infrastructure is ever-present, additive, & supports multiple uses 10
11 Data Landscape
12 PORT ENGINE ROOM CORPORATE Everyone uses data Not all data is the same
13
14 Comes from SCADA, systems that typically run 24/7 (Near) continuous stream of data Used for Process monitoring Critical systems needing real-time action Sensor data Historian Used by Control-network operators, engineers. OT
15 Comes from Transactions, records Used for Enterprise resource planning (ERP) Finance Customer relationship management (CRM) SQL CRM Used by Business users, planners, maintenance. IT
16 Comes from Documents Images Social media Used for Correlation analysis, pattern recognition Hadoop Used by Statisticians, data scientists
17 Sensor data is raw & not naturally aligned
18 Local subject matter experts are key in operational data Identify & avoid dangerous conditions Spot an anomaly or what s important 18
19 Basic Architecture
20 Layer 1: Data collection Data Source PI Connectors & PI Interfaces Win OS Some Linux Put close to data source Use buffering
21 Layer 2: Data aggregation & normalization Data Source PI Connectors & PI Interfaces PI Server Win OS Some Linux Win Server OS Can run a personal system on laptop Go bigger for production
22 Layer 3: Visualization Data Source PI Connectors & PI Interfaces PI Server Visualization Tools Win OS Some Linux Win Server OS Mobile device, Win PC, browser Typical installation from nothing to seeing data is 3~5 days
23 Basic Architecture Data System A Data System B PI Connectors PI Server Data System C Visualization software Local, on-site people
24 Enterprise Architecture PI Server PI Server PI Server PI Server PI Server Local Facility Far-away office Visualization software Corporate people & affiliates
25 Protecting control layer is especially critical in IoT era Separation layer to expose data, not controls IoT solutions Internet exposure Automation Systems Edge Devices Control Network
26 What We Covered PI SYSTEM LANDSCAPE ARCHITECTURE Digital data infrastructure for sensor-based data. Sensor data is raw and coming at you in real-time. Experts make sense of it. Create a safe viewing layer. Allow people to build intelligence back into system.
27 Listen for themes: Easy to get to & easy to understand Doing so Securely At-scale
28 Questions Please wait for the microphone before asking your questions Please Remember Complete the Online Survey for this session State your name & company 28
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