High Dimensional Maritime Data Collection and Analytics. High Dimensional Maritime Data Collection and Analytics

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Imogene Montgomery
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3 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

4 About Prisma Electronics Certified by Hellenic Ministry of Defence Gold Award from CERN 25 years of R&D experience Technology-based Corporate Products and Services Technical Achievement 2015 Lloyd s List Shipping Awards Certified by TUV HELLAS with ISO EN 9001:2008 LLOYDS 2015 Τechnical Achievement CERN CMS GOLD AWARD

5 LAROS establishes automatic data communication infrastructure to collect high dimensional data on board and to transfer them as actionable information to the shore based systems

6 Data collection and analytics for performance improvement. 52 Containers 87 Tankers 210+ Ships 77 Bulk Carriers

7 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

8 LAROS is a platform of a data collection and maritime knowledge management techniques for remote monitoring, status and performance analysis Gateway Collectors Routers Server Headquarters Datacenter Control Interfaces

9 LAROS enables to measure, store, and process, analyze and view in a combined way the operational value of the sensors Gateway Collectors Routers Server Headquarters Datacenter Control Interfaces

10 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

11 LAROS collectors

12 The LAROS collectors form automatically a self-redundant wireless mesh network in order to transmit securely and reliably the data to the central LAROS gateway.

13 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

14 Ship Server

15 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

17 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

18 Ships at Sea Shipping Industry HQ Ships Data

19 CCR Analyzing maritime data is a real scientific job Bridge ECR

20 ECR CCR Bridge One Observation N Dimensions = number of measured variables

21 LAROS DAS Data Analysis System provides comprehensive high dimensional maritime data analysis and the presentation of results

22 Data Analysis Sea Trials Model Tests Actual Values DATA Theoretical Model (Model test, CFD, Sea Trials) Mathematical Model (Analysis of the data) KPIs Deviation from the ideal Asset Aging Key Performance Indicators Actual Values Asset Condition and Operation

23 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

24 Data analytics for performance improvement Power ΔPower II I Measured Unified Values I and II Sea Trials or as delivered Baseline Speed

25 Speed vs. Power before dry docking Each red marker represents an observation. Power Power vs Speed for ballast condition before dry docking The red curve is the polynomial regression of the observations Power vs Speed Sea Trial ballast condition Speed

26 Speed vs. Power after dry docking Power vs Speed for ballast condition before dry docking Power Analysis with correlation and regression With highperformance data visualization Speed Power vs Speed for ballast condition after dry docking

27 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

28 Data analytics for fuel consumption M/E Specific Fuel Consumption 198 gr/kwhr for 70 RPM 175 gr/kwhr for 70 RPm

29 Performance Assessment with indicator the Fuel Coefficient There is no torque meter installed Fuel Consumption & Speed measurements every 15 sec Fuel Coefficient

30 Performance Assessment with indicator the Fuel Coefficient There is no torque meter installed Fuel Consumption & Speed measurements every 15 sec Fuel Coefficient 6 month period equals more than calculations 6 months period Prisma Prisma Electronics SA, SA, Project LAROS TM 2017 All All Rights Reserved

31 Performance Assessment cross correlation of two indicators Fuel Coefficient vs. Propeller Slip There is no torque meter installed Fuel Coefficient 6 month period equals more than calculations Apparent Slip Prisma Prisma Electronics SA, SA, Project LAROS TM 2017 All All Rights Reserved

32 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

33 Plan the Future with Forecasting Techniques Diagnosis Prognosis Forecasting Planning Analytics Forecasting estimates future behaviors and values based on trends

34 Forecasting on propeller / hull performance and Planning of engineering activities Power Laden Sea Trials Ballast Sea Trials Raw data efficiency over six months observations Speed 34

35 Performance Assessment with indicator the Heickel Coefficient month period = more than 0.5 M calculations January June 2016

36 Performance Assessment the Heickel Coefficient is the predictor

37 Performance Assessment the Heickel Coefficient is the predictor Engineering Activities on Propeller / Hull

38 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

39 Filtering LAROS DAS analytics provide filtering capabilities that filters observations and / or dimensions

40 Filtering and refining information on Ship s performance Laden Power Ballast Existing raw data efficiency over a time period

41 Filtering and refining information on Ship s performance Heickel Slip % Laden Filtering for: Wind Weather Trim Rudder angle Swallow waters Currents Ballast

42 Filtering and refining information on Ship s performance Heickel Slip % Laden Filtering for: Wind Weather Trim Rudder angle Swallow waters Currents Ballast

43 Filtering and refining information on Ship s performance Heickel Slip % Laden Filtering for: Wind Weather Trim Rudder angle Swallow waters Currents Ballast

44 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

45 Maintenance support and optimization LAROS DAS analytics include the resources, services and management necessary to enable proactive decision process execution

46 Case Study: D/G Major Damage Prevention Observed increasing deviation in LO pressure

47 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

48 Case Study: Ship Performance assessment and restoration in Heavy Weather

49 Case Study: Ship Performance assessment and restoration in Heavy Weather Date: 23 rd - 24 th December 2016 Time interval: 42 h Head Wind 8 Bf MW Power Waves of significant height 5 m M/E rpm knots Speed

50 Case Study: Ship Performance assessment and restoration in Heavy Weather Date: 23 rd - 24 th December 2016 Time interval: 42 h Head Wind 8 Bf MW Power Waves of significant height 5 m M/E rpm knots Speed

51 Case Study: Ship Performance assessment and restoration in Heavy Weather Date: 23 rd - 24 th December 2016 Time interval: 42 h Power MW M/E rpm knots Speed

52 Case Study: Ship Performance assessment and restoration in Heavy Weather Date: 23 rd - 24 th December 2016 Time interval: 42 h Power MW M/E rpm knots Speed

53 Case Study: Ship Performance assessment and restoration in Heavy Weather Date: 23 rd - 24 th December 2016 Time interval: 42 h Observations update rate: Every 10 min Six (6) dimensions 250 Observations 1500 Measured Values

54 Case Study: Ship Performance assessment and restoration in Heavy Weather Date: 23 rd - 24 th December 2016 Time interval: 42 h Observations update rate: Every 10 min Heickel Coefficient and Apparent Slip

55 High Dimensional Maritime Data Case Study: Ship Performance assessment and restoration in Heavy Weather Three (3) dimensions 250 Observations x axis: ship s speed in knots, z axis: propulsive power in MW, y axis: wind force in Bf,

56 Case Study: Ship Performance assessment and restoration in Heavy Weather Three (3) dimensions 250 Observations x axis: ship s speed in knots, z axis: propulsive power in MW, y axis: Propeller shaft rpm

57 Case Study: Ship Performance assessment and restoration in Heavy Weather Three (3) dimensions 250 Observations x axis: ship s speed in knots, z axis: propulsive power in MW, y axis: Propeller shaft rpm

58 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

59 LAROS Future Developments - Constant Innovation High-Velocity Data exploitation with Correlation Matrices Marine Technology evaluation

60 LAROS Future Developments - Constant Innovation High-Velocity Data exploitation with Correlation Matrices

61 LAROS Future Developments - Constant Innovation Marine Technology evaluation

62 Data Collection with LAROS hardware and embedded software. From Signals to Information. Information forms. Expandability and Information Adaptability. High Dimensional Data analytics with LAROS Data Analysis System. Fast and Accurate Hull Performance Assessment. Fuel Consumption Optimization. Forecasting and Planning. Filtering. High Dimensional Data for Predictive Maintenance. Simplified Analytics Case Study. LAROS Future Developments. Conclusions. PRESENTATION TOPICS

63 LAROS maritime data collection and data analysis tool bring new performance awareness opportunities

64 LAROS dashboards powered from big data analytics accelerate the information intelligence cycles

65 Partnership 2009 CERN Award LAROS Launch 2012 LAROS Prototype 2013 LAROS 1st Customer Ships* Ships* A trusted manufacturer of: Ships* *Cumulative Number

66 Prisma Electronics S.A. - Your trustworthy partner info@laros.co.uk Follow us on Social Media Twitter LinkedIn Facebook Partner Prisma Electronics SA,128 El. Venizelou, Nea Smirni, Greece Prisma Electronics UK Ltd., 5 Chancery Lane, WC2A 1LG - UK +44(0) Prisma Prisma Electronics SA, SA, Project LAROS TM 2017 All All Rights Reserved 66