Knowledge discovery in Industry and Agriculture 4.0. Success cases. Oliviu MATEI Tehran,

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1 Knowledge discovery in Industry and Agriculture 4.0. Success cases Oliviu MATEI Tehran,

2 Millions Facts and figures (1) 3000 Internet users Internet users (*) Brahima Sanou, ITC Facts and Figures 2013, Telecommunication Development Bureau, International Telecommunications Union (ITU), Geneva, February Retrieved 23 May 2015.

3 Facts and figures (2) COMPANIES INVESTING IN BIG DATA ANALYSIS Less than 20% of overall technology investments More than 30% of overall technology investments 20% - 30% of overall technology investments 20% 27% 53% (*) Industrial Internet Insights Report for 2015, General Electric, 2014

4 A new concept on knowledge discovery in IoT

5 Multi-layer knowledge discovery Collaborative data mining Logical object 1 Context aware data mining Logical object n Context aware data mining External data External data sources Digital layer Physical layer Physical object 1 Physical object n AmI data mining AmI data mining Sensors Sensors

6 A new concept on knowledge discovery in IoT Stand alone data mining Contextaware data mining Collaborative data mining

7 CONTEXT-AWARE DATA MINING IN IN AGRICULTURE

8 Successful Agriculture % of the food is wasted before reaching the consumer Smart food supply chain management (*) wrap, Food Futures. from business as usual to business unusual, 2016

9 Drought in Iran 2008

10 Forecast differences ±4 ⁰ C

11 Successful Agriculture 4.0 (1)

12 Successful Agriculture 4.0 (2) Wheat Corn Barley Beet Soy Beans 10 local weather stations

13 Successful Agriculture 4.0 (3) Accuweather.com Yr.no Public weather forecasts valid for larger areas not accurate for specific spots (temperature varies with up to 4 ⁰ C within 2 km) Local data, very accurate and precise Rain sensor (*) Temperature sensor (*) Moisture sensor at -10cm Temperature sensor at -10 cm Temperature sensor at -30 cm Temperature sensor at -50 cm (*) only in some cases

14 Successful Agriculture 4.0 (4) www (Public & free) Forecasts Alerts when the forecasted values exceed certain ranges Rain Air temp Context-aware data mining Combines local and global data Improved accuracy (up to 85.7%) Moisture Temp -10cm Temp -30cm Temp -50cm Moisture frecast Accuracy up to 76.56%

15 SUCCESSFUL STORY IN AGRICULTURE Context aware data mining improves prediction accuracy with an average of 10%

16 COLLABORATIVE DATA MINING IN PREDICTIVE MAINTENANCE

17 Smart factory (*) wrap, Food Futures. from business as usual to business unusual, 2016

18 Predictive maintenance (1) Defrost Dummy: periodically (e.g. daily) Smart: when the refrigerator is not used

19 Predictive maintenance (2) Collaborative data mining Accuracy: 95.7% (+ 4.4%) Predict usage behaviour for smart defrost Accuracy: 91.3%

20 SUCCESSFUL STORY IN PREDICTIVE MAINTENANCE Collaborative data mining improves prediction accuracy up to 95.7%

21 SMART REMOTE MAINTENANCE

22 Continental AG Min 30 technical travels / month Min EUR / month High production loss due to breakdowns Headquarters in Germany 7 factories in Romania

23 Smart remote maintenance Hands free Drawings to indicate hotspots User manual transfers Conversation recordings Snapshots Bar/QR codes

24 Available glasses Epson Moverio BT -300 ODG R7

25 SMART REMOTE MAINTENANCE Smart remote maintenance reduced the maintenance costs for CONTINENTAL AG with several thousands euro / month The return on investment (ROI) is extremely high

26 Billions devices connected to the IoT Conclusions