Connected Ships a Future Reality

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1 Norway Japan Maritime Seminar New Technologies in Shipping and Ship building Connected Ships a Future Reality 24 th January 2017 Hideyuki Ando MTI ()

2 The era of connected ships - Use assets more efficiently - Automate ship operations & navigation Manage ship/shore personnel into a single more productive team Integrate fleet systems to improve asset performance Use big data to find ways to improve performance & reduce accidents Inform management on how the business is performing Reference) Martin Stopford, Shipping s Next Techno-Economic Great Wave, Tokyo, Dec 2015 (

3 The era of connected ships - Use assets more efficiently - Automate ship operations & navigation Manage ship/shore personnel into a single more productive team Integrate fleet systems to improve asset performance Use big data to find ways to improve performance & reduce accidents 3. Data storage & analysis Inform management on how the business is performing Reference) Martin Stopford, Shipping s Next Techno-Economic Great Wave, Tokyo, Dec 2015 ( Smart-shipping toolbox 1. Telematics ( IoT) 2. Satellite communications 4. Smart phone style apps 5. Information systems 6. Automation

4 IoT (Internet of Things) Operation Technology (OT) Information Technology (IT) Automation PLC* Serial, Serial Bus, Analog Serial, Serial Bus IP connected computer IP/Ethernet IP Network Actuator Sensor Machinery * PLC: Programmable Logic Controller Operation Technology (OT) and Information Technology (IT) are to be bridged. The era of transparency where user can access field data.

5 Coming IoT of Ship Target Prevent unpredicted downtime (owner) Reduce maintenance cost (owner) Energy efficiency in operation (operator) Measure Condition monitoring Big data analysis Support service engineer Intelligent machinery Self diagnostics Change way of working

6 Digital Twin - Real world individual product will be modeled in computer - Real (Product, Plant ) IoT data Information Virtual (3D model, simulation) Reference)

7 IoT and Big data application areas Role Function Example of Big data application Ship owner Ship operator Technical management Safety operation Condition monitoring & maintenance Environmental regulation compliance Hull & propeller cleaning Retrofit & modification New building Design optimization Operation Fleet planning Energy saving operation Safe operation Schedule management Fleet allocation Service planning Chartering Other partners in value chains, such as cargo owners, shipyards, equipment manufacturers, and class societies, have also interests in ship IoT and Big data.

8 IoT platform of NYK SIMS (Ship Information Management System) SIMS IoT data + SPAS manual data Data Center SIMS Data Collection Onboard Sat Com (VSAT, FBB) SIMS Monitoring & Analysis at Shore GPS Operation Center (Tokyo, Singapore ) Doppler log Anemometer Gyro Compass SIMS unit Onboard dashboard Performance Analysis - Long term analysis Analysis VDR - In service performance Shore Dashboard <Navigation Bridge> <Engine Room & Cargo> Main Engine Power plant Cargo control Auxiliary machineries Data Acquisition and Processing Integrated Automation System Motion sensor Technical Analysis (NYK, MTI) - For operation - For ship manager

9 Ship performance in service 6000TEU Container Ship Wave height 5.5m, Wind speed 20m/s BF scale 8, Head engine rev. 55rpm <Calm sea performance> speed: 14 knot FOC: 45 ton/day <Rough sea(bf8) performance> speed: 8 knot FOC: 60 ton/day Effecting factors 1. Weather (wind, wave and current), 2. Ship design (hull, propeller, engine), 3. Ship condition (draft, trim, cleanness of hull and propeller, aging effect)

10 Ship performance model 6000TEU Container Draft 12m even Sea condition Beaufort scale ビューフォート階級 wind 風速 speed (m/s) 波高 (m) 波周期 (sec) BF BF BF BF BF BF BF BF wave height wave period 0 deg (wind, wave) head sea

11 Ship performance model in service Digital Twin of ship performance inservice Performances under all possible conditions (draft, trim, wind and wave) IoT data are used for correction of the model.

12 Operation optimization Service route Ship performance model Estimation of - Sea margin - FOC and etc. Voyage simulation with past weather data Combine ship performance model with weather data to optimize ship services

13 Energy saving hull modification 23 % CO2 reduction was confirmed Operation profile Speed, RPM, Power Draft, trim, displacement Weather Sea margin Etc. Energy saving modification Bulbous bow modification Install energy saving device (MT-FAST) Etc.

14 Open collaborations with partners i i-shipping: Japanese government funding projects Ship IoT for safety ( ) i Simulation of LNG cargo transport Cargo crane condition monitoring i Collision avoidance and autonomous ship Multilayered Doppler log i Structural Health Monitoring Propulsive efficienc monitoring i Damage prevention of engine-power plant

15 Security / access control Security / access control Monohakobi Ship Shore Open Platform for IoT of Ship Ship IoT Open platform (Industry standard) Data Center Application / services (Competition) Shore Service Provider User M/E D/G Boiler T/G VDR LAN Onboard data server Software agent broadband request Data center (operated by neutral bodies) Asia Performance monitoring Weather routing Engine monitoring Ship operator Ship owner Ship Management company Radar data Class Society ECDIS Energy management Shipyard BMS Onboard application Europe Engine maker Cargo crane. Weather routing Performance monitoring Engine maintenance Plant operation optimization Remote maintenance Marketing and Big data analytics Ship equipment maker...

16 Standardization activities of Ship IoT platform (SSAP2: Smart Ship Application Platform 2 Project by JSMEA) VDR Ship shore open platform Own application User Owner Engine D/L IAS Ship LAN Machinery & Equipment Onboard data server (standardized) Own application Performance 3 rd party application Weather routing Broadband Ship Data Center Proposal of new ISO regarding Ship IoT Fleet management Performance 3 rd party application Performance Remote diagnostics Condition monitoring Fleet management Operator Cargo owner Ship manageme nt Shipyard ISO/CD Shipboard data servers to share field data on the Class sea Specifications of ship onboard data server Manufactu rer ISO/CD Standard data for machinery and equipment part of ship Specifications of dictionary and format Ship Shore JSMEA: Japan Ship Machinery and Equipment Association

17 Thank you very much for your attention

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