The future: Big Data, IoT, VR, AR. Leif Granholm Tekla / Trimble buildings Senior Vice President / BIM Ambassador

Transcription

1 The future: Big Data, IoT, VR, AR Leif Granholm Tekla / Trimble buildings Senior Vice President / BIM Ambassador

2 What is Big Data? 2

3 Big Data is when the amount of data becomes part of the problem 3

4 Big data is an evolving term that describes any voluminous amount of structured, semistructured and unstructured data that has the potential to be mined for information. 4

5 Big Data: 3Vs Volume, Variety, Velocity 5

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7 Internet of Things The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure. The Internet of Things (IoT) is a scenario in which objects, animals or people are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. IoT has evolved from the convergence of wireless technologies, microelectromechanical systems (MEMS) and the Internet. 7

8 Why It Matters (by Cisco) Most businesses are focused on getting products to market more quickly, adapting to regulatory requirements, increasing efficiency, and most importantlycontinuing to innovate. Your highly mobile workforce, customers, and supply chain demand anytime, anywhere business tools. An IoT platform can help.

9 Standards and IoT Based on international base standards Link layer (Physical): *DSL* ITU 992xxx Ethernet IEEE 802.3xxx WiFi IEEE xxx Bluetooth IEEE xxx Internet layer IP IEEE RFC 791 addressing, routing etc Transport layer TCP Transmission Control Protocol IEEE RFC 793 reliable stream between applications 9

10 Standards and IoT Transport layer (contd) UDP User Datagram Protocol IEEE RFC 793 Connectionless transfer of data packets Application layer DNS Domain Name System IEEE RFC 1034, 1035 HTTP Hypertext transfer protocol IEEE & W3C RFC 2616 SMTP Simple Mail Transfer Protocol IEEE RFC 821 Mail transfer Data formats IFC, ISO 15926, CityGML, STEP, PLM, PLCS 10

11 Google trends: Big data 11

12 Big Data Characteristics Too much data to handle for traditional tools, local servers, databases, desktop software, new approaches needed. Less reliance on (formal) schemas and data quality, more focus on raw data, extended metadata and (pattern recognizing) algorithms Need to Harvest, Store, Analyze New tools needed: Cloud computing Highly distributed parallel processing (Hadoop, MapReduce) NoSQL databases Semantice web, Linked data 12

13 Hadoop: Problem How do you scale up applications? 100 s of terabytes of data Takes 11 days to read on 1 computer Need lots of cheap computers Fixes speed problem (15 minutes on 1000 computers), but Reliability problems In large clusters, computers fail every day Cluster size is not fixed Need common infrastructure Must be efficient and reliable Courtesy of Owen O Malley Yahoo! 13

14 Hadoop: Solution Open Source Apache Project Hadoop is Doug Cutting s son s stuff elephant. Hadoop Core includes: Distributed File System - distributes data Map/Reduce - distributes application Written in Java Runs on Linux, Mac OS/X, Windows, and Solaris Commodity hardware

15 Hadoop clusters We have ~20,000 machines running Hadoop Our largest clusters are currently 2000 nodes Several petabytes of user data (compressed, unreplicated) We run hundreds of thousands of jobs every month

16 Who Uses Hadoop? Amazon/A9 Facebook Google IBM Twitter Last.fm New York Times PowerSet (now Microsoft) Yahoo! More at

17 BIM and Big Data Sources of Big Data in BIM Design data,semantic models, visualizations, documents Sensor data: LIDAR scans, images, video Logistics, following material, equipment and people flows Augmented reality devices and apps Off/On site fabrication machinery Process data, schedules, workflows, quantities, RFI, Product data from manufacturers Contracts, orders, dispatch notes GeoSpatial data, Cadastre, building regulations, terrain models, scans, existing structures traffic information.. 17

18 BIM and Big Data Uses of Big Data in BIM Virtual reality (VR) applications, facility, building site, fabrication Immersive image and tactile environment Augmented reality applications Combine real time sensed and virtual information Automatic information deliveries Quality control Automated schedule, quality and budget follow up Automated design Automated fabrication Building inspection Facility management 18

19 Thank you!