ni.com Big Analog Data™ Solutions The Often Overlooked Big Data ni.com Our Mission We equip engineers and scientists with tools that accelerate productivity, innovation, and discovery. ni.com 3 Graphical System Design A platform-based approach for measurement and control ni.com 4 Science, Discovery, and Innovation . . . Experimental Science Theoretical Science Computational Science Data-Intensive Science Jim Gray, The Fourth Paradigm Internet of Things Industrial Internet ni.com Intelligent Systems Big Analog Data™ Solutions Programmable World Cyberphysical Systems Smarter Planet 5 M2M Industrie 4.0 Data-Intensive…. Phases Cyber Physical, Prescriptive Analytics Optimized, Predictive Analytics Automated, Descriptive Analytics Manual Big Analog Data Big Analog Data Data Paper Based ni.com Big Analog Data 6 Big Data Characterized Variety Another “V” NI is seeing . . . Mix of structure and format Volume Visibility Large amounts Access from disparate geographic locations Velocity High speed, high sample rates Value Importance of analysis, which was previously limited by technology ni.com 7 Big Data Characterized Sources of Big Data: Industry/IT sources Enterprise apps: ERM, CRM, HR IT data: events, logs, inventories Process and control New/emerging data sources Social data, behaviors, sentiments Tweets, posts, comments Engineering/scientific data sources Physical world: analog phenomenon DAQ, A/D Big Analog Data™ Sources ni.com 8 Big Data Characterized Big Analog DataTM Sources is Big Data derived from the physical analog world is sourced from nature, people, and electrical and mechanical devices and machines is digitized via A/D conversion Location Sound Time Temperature Pressure Voltage Current Radio Signals Magnetism Moisture Particulates Vibration Acceleration Velocity Video ni.com Light Motion 9 Wind Big Analog Data™ Applications Characterized Smart Power Grid Measurements: 5TB / Month Turbine Test Measurements: 10TB / Day Jet Engine Measurements: 20TB / Hour Physics Experiment Measurements: 40TB / Second ni.com 10 T.M.S. Bradicich, PhD Big Analog Data™ Sources Big Analog Data™Sources are Everywhere … the oldest, fastest, and biggest of all the other Big Data… combined ni.com 11 Big Analog Data™ Sources … the oldest, fastest, and biggest of all the other Big Data… combined ni.com 12 Big Analog Data™ End-To-End Solution Architecture Decision Making and Control Data Acquisition and Analysis Systems (Test, Monitoring, Logging, Control) Measurement HW and Firmware IT Infrastructure The Edge Sensors/Actuators Analysis and Visualization Software Data Aggregation and Management ni.com 13 (Big Data Analytics, Mining) Edge IT (Local, Remote, Cloud) Corporate/ Federated IT Big Analog Data™ End-To-End Solution Architecture Data Acquisition and Analysis Systems IT Infrastructure (Test, Monitoring, Logging, Control) NI Hardware and FPGA Firmware The Edge Sensors/Actuators (Big Data Analytics, Mining) Edge IT (Local, Remote, Cloud) Corporate/ Federated IT NI Software Acquire DataFlow: Real-Time InMotion EarlyLife AtRest Analyze Engineering,Scientific,andBusinessAnalytics Present Visualization System Management/RASM1 Deployment,Health,Monitoring,andServiceability 1 ni.com RASM:Reliabilty,Availabilty,Serviceabilty,Manageabilty 14 Archive Example Big Analog Data™ End-to-End Solution Fleet-wide Online Asset Condition Monitoring Monitoring Systems Vibration Sensor Turbines (Critical) Oil Sensor IT Infrastructure The Edge Sensors NI CompactRIO Vibration Sensor Wired or Wireless Leak Detection Sensor Balance of Plant Assets Pressure Sensor Wireless Access Point NI CompactRIO Temperature Sensor 10,000 machines ni.com 30,000 sensors Business Network 2,000+ devices NI InsightCM Enterprise Server ~60 plant servers 15 1 Federated M&D center Example Big Analog Data™ Solution Architecture Jet Engine Test Cell Corporate IT Edge Servers IT Infrastructure The Edge Data Acquisition and Analysis Systems (NI PXI) Sensors ni.com 16 Example Big Analog Data™ Solution Architecture Sensors/Actuators Data Acquisition and Analysis Systems The Edge Scientific Research (Seismic) IT Infrastructure Emitting surface Recording surface - PXI - FPGA - LabVIEW ni.com - DIAdem - DAQ - Timing/Synch 17 - GPUs - Multicore x86 Servers - Vector Math Example Big Analog Data™ Solution Architecture Product Manufacturing Test IT Infrastructures The Edge Data Acquisition and Analysis Systems Sensors Visibility Access from disparate geographic locations This annihilates former ‘time and place dependencies’ Images Courtesy of Adventure Technologies, Agarwal, Kulak, Weir ni.com 18 Example Big Analog Data™ Solution Architecture ni.com Sensors Data Acquisition and Analysis Systems 64 sensor signals per tram 3 NI CompactRIO systems per tram 19 The Edge Rail In-Vehicle Monitoring IT Infrastructure 1 Ethernet switch per tram, 1 industrial PC per tram Example Big Analog Data™ Solution Architecture Smart Grid - Synchrophasor/Phasor Measurement Units (PMUs) IT Infrastructure Data Acquisition and Analysis Systems Sensors The Edge Edge Servers ni.com 20 Example Big Analog Data™ Solution Architectures Embedded Monitoring & Control Applications ni.com 21 Example Big Analog Data™ Solution Architectures Test Applications ni.com 22 Big Analog Data™ End-to-End Solution Architecture Data Acquisition and Analysis Systems IT Infrastructure (Test, Monitoring, Logging, Control) NI Hardware and FPGA Firmware The Edge Sensors/Actuators (Big Data Analytics, Mining) Edge IT (Local, Remote, Cloud) Corporate/ Federated IT NI Software Acquire DataFlow: Real-Time InMotion EarlyLife 1) Engineering Insight 2) Scientific Insight 3) Business Insight It’s all about the data – and the insight derived from the data: ni.com AtRest 23 Archive Big Analog Data™ End-to-End Solution Architecture Data Acquisition and Analysis Systems IT Infrastructure (Test, Monitoring, Logging, Control) NI Hardware and FPGA Firmware The Edge Sensors/Actuators (Big Data Analytics, Mining) Edge IT (Local, Remote, Cloud) Corporate/ Federated IT NI Software 1. RIO FPGA 2. System CPUs 3.Edge IT CPUs 4. Back-End IT CPUs Acquire 4 processingDatadomains Flow: for data analytics: Real-Time InMotion EarlyLife AtRest Archive Data Insight “Spectrum of Value” Data analytics executed throughout the data flow ni.com 24 Big Analog Data™ End-to-End Solution Architecture Data Acquisition and Analysis Systems IT Infrastructure (Test, Monitoring, Logging, Control) NI Hardware and FPGA Firmware The Edge Sensors/Actuators (Big Data Analytics, Mining) Edge IT (Local, Remote, Cloud) Corporate/ Federated IT NI Software 1. RIO FPGA 2. System CPUs 3.Edge IT CPUs 4. Back-End IT CPUs Acquire 4 processingDatadomains Flow: for data analytics: Trade Off: ni.com Real-Time InMotion EarlyLife AtRest Faster Insight – vs.-- Deeper Analytics 25 Archive The Internet of Things and Big Analog Data™ Solutions Commercial Smart factory Three supply side benefits of “perpetual connectivity” to product and consumer Physical assets Transportation Electronic devices Vending machines Home appliances Monitor Maintain Motivate Continuous knowledge of the condition and usage of product in the market Convenient upgrades, patches, fixes and predictive failure analysis Compel consumer to purchase up-sells, accessories, etc. Automobiles Consumer ni.com 26 Big Analog Data™ Solutions Mapping to The Internet of Things: IT Infrastructure Data Acquisition and Analysis Systems Sensors/Actuators Commercial (Analytics, Data Buses, Archieve) Edge IT (Local, Remote, Cloud) Smart factory Corporate/ Federated IT Physical assets Transportation Electronic devices Vending machines Home appliances Automobiles Consumer Acquire DataFlow: ni.com Real-Time InMotion 27 EarlyLife AtRest Archive Manufacturing and Big Analog Data™ Solutions The Fourth Industrial Revolution First production line, Cincinnati slaughterhouses (1870) First mechanical loom (1784) First Industrial Revolution Water and steam powered mechanical production End of 18th century Second Industrial Revolution Electric power and mass production Start of 20th century Third Industrial Revolution Electronics and IT automation Data Intensive Computers, Communications, Control “Industrial Internet” “Smart Factories” “Cyber-physical Systems” Start of 1970s Source DKFI 2011 ni.com Fourth Industrial Revolution 28 Today time complexity First programmable logic controller, Modicon 084 (1969) Manufacturing and Big Analog Data™ Solutions Complex Data Acquisition, Control, and Global Supply Chain Communications Smart Factories and IoT drive efficiencies by “immediate and perpetual visibility“ into manufacturing operations: This cuts out ‘middle men’ in the system This annihilates former ‘time and place dependencies’ Production Machines Smart-Grid Heavy Equipment Test Cells Hardware in the Loop (HIL) Big Physics Metal Fabrication Test and Measurements ni.com 29 Gaining Insight from Data “Time-Based” and “Place-Based” Considerations 3 Key “Place-Based” Considerations: 2. Quadrant of highest efficiency Place Independence Seek to move to the upper right quadrant for maximum efficiency 1. The Location of Acquisition 2. The Location of Analysis 3. The Location of Awareness Time Independence 5 Key “Time-Based” Considerations: 3. Acquire DataFlow: Real-Time InMotion EarlyLife AtRest Data Insight “Spectrum of Value” ni.com 1. 30 Archive Gaining Insight from Data “Time-Based” and “Place-Based” Considerations Place Independence Quadrant of highest efficiency Visibility Access from disparate geographic locations NI sees “Visibility” as a key characteristic of big data, which enables both Time and Place Independence Time Independence e.g. IT Infrastructures, Cloud, Smart Devices, IoT 1. The Location of Acquisition 2. The Location of Analysis 3. The Location of Awareness 5 Key “Time-Based” Considerations: Acquire DataFlow: Real-Time InMotion EarlyLife AtRest Data Insight “Spectrum of Value” ni.com 31 Archive Considerations: Enabling Technology Vectors Data Management Systems Management Data Analytics capture, filing, transmission, retrieval, aging, data formats, visualization deployment, configuration, health monitoring, security, RASM, remote access algorithms, prognostics, alarming, distributed intelligence Considerations: Customer Value Data Management Systems Management Data Analytics capture, filing, transmission, retrieval, aging, data formats, visualization deployment, configuration, health monitoring, security, RASM, remote access algorithms, prognostics, alarming, distributed intelligence Robust, end-to-end test and validation (V&V) Reduces customer’s Integration Risk Decreases customer’s Time to Value ni.com/big-analog-data ni.com