The Maritime CIO Forum Singapore - The future of ishipping - Smart Ship Applications 13 th October 2016 Hideyuki Ando MTI (, NYK Group) 1
Outline 1. IoT and Big data in shipping 2. NYK activities on IoT and Big data 3. IoT open platform for marine industry 4. Concluding remarks 2
Outline 1. IoT and Big data in shipping 2. NYK activities on IoT and Big data 3. IoT open platform for marine industry 4. Concluding remarks 3
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. 4
Coming IoT applications in marine industry 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 5
Digital Twin - An approach of Product Lifecycle Management(PLM) - Reference) http://www.gereports.com/post/1193006786 60/wind-in-the-cloud-how-the-digital-windfarm-will/ Real Space (Product, Plant ) IoT data Information Virtual Space (3D model, simulation) 6
Big data in shipping Examples of Big data in shipping Voyage data Automatically collected data (IoT) Noon report Machinery data Automatically collected data (IoT) Manual report data Maintenance data AIS data Satellite AIS / shore AIS Weather data Forecast / past statistics Business data Container transport data 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
Outline 1. IoT and Big data in shipping 2. NYK activities on IoT and Big data 3. IoT open platform for marine industry 4. Concluding remarks 9
IoT platform in 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 10
Ship performance key technology for analysis 6000TEU Container Ship Wave height 5.5m, Wind speed 20m/s BF scale 8, Head sea @ engine rev. 55rpm <Calm sea performance> speed: FOC: 14 knot 45 ton/day <Performance in the rough sea(bf8)> 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) 11
In-service ship performance <Target vessel> 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) BF0 0.0 0.0 0.0 BF3 4.5 0.6 3.0 BF4 6.8 1.0 3.9 BF5 9.4 2.0 5.5 BF6 12.4 3.0 6.7 BF7 15.6 4.0 7.7 BF8 19.0 5.5 9.1 BF9 22.7 7.0 10.2 wave height wave period 0deg (wind, wave) head sea 12
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. 13
Optimum weather routing with performance monitoring Weather Routing(PLAN) Monitoring(CHECK) Voyage plan + course, speed, RPM, FOC, weather + ship performance model Feedback Voyage actual + actual speed RPM, RPM - FOC + actual weather Ship model and weather forecast are inherently include errors. But feedback loop by monitoring can make this system work better. 14
Performance analysis - long term analysis - Performance analysis Semi-automate the long term analysis process Pick-up target vessels Visualize performance drops of fleet vessels after last dry dock Cleaning hull & propelle Expand service available ports Performance Management Operation Management Hull & propeller Cleaning Service Provider 15
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 16
Energy saving hull modification Operation profile 23 % CO2 reduction was confirmed Energy saving modification Speed, RPM, Power Draft, trim, displacement Weather Sea margin Etc. Bulbous bow modification Install energy saving device (MT-FAST) Etc. 17
Prognostics and health monitoring in shipping Target Prevent unpredicted downtime Reduce maintenance cost Predict remaining useful life Measure SCADA data analysis Condition monitoring by additional sensors Big data analysis Ship main engine Observation data data data data data data data data State T T T T T T F F 18 true time fault Estimate true state from observed data KIRARI NINJA 360-degree panoramic camera to take photos inside the dark combustion chamber
Outline 1. IoT and Big data in shipping 2. NYK activities on IoT and Big data 3. IoT open platform for marine industry 4. Concluding remarks 19
Ship IoT Combination of IoT platform and marine domain knowledge are necessary Collaborations with industry partners are important to make practical solutions Ship IoT IoT platform Marine domain knowledge platform application services 20
Security / access control Security / access control Monohakobi Concept of Ship Shore Open Platform for Ship IoT Ship Open IoT 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... 21
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/CD19847 - Shipboard data servers to share field data on the Class sea Specifications of ship onboard data server Manufactu rer ISO/CD19848 - Standard data for machinery and equipment part of ship Specifications of dictionary and format Ship Shore JSMEA: Japan Ship Machinery and Equipment Association 22
Process for ISO (ISO CD19847, ISO CD19848) * NP Aug 2015 Registered as NP 2015 ISO PWI 19847/19848 were accepted as NP in Aug 2015 WD CD 2016 Now S S A P 2 The first ISO/TC8/SC6/WG16 meeting was held in June 2016 in Tokyo DIS FDIS 2017 2018 Dec 2017 Fastest path Aug 2018 Final dead line 2 CDs will be distributed soon for comment and voting to the P- members of ISO/TC8/SC6 23 IS NP: New work item Proposal, WD: Working Draft CD: Committee Draft, DIS: Draft International Standard FDIS: Final Draft International Standard, IS: International Standard
Expected activities on ship IoT and open platform Role Activities on Ship IoT and open platform Shipping Ship owner and operator needs applications for energy saving, minimize downtime, safety transport and environmental conservation Manufacturer Remote diagnosis, preventive maintenance and self diagnostics Shipyard Data analysis services for ship owners, life-cycle support and feedback to new design Service provider Academy Fleet management system, big data analysis services, condition monitoring services and IoT platform Research on big data analysis, numerical simulation methods and digital twin. Education and trainings. Class society Shore data center. Class inspection Government utilization for e-navigation and MRV 24
Examples of ship IoT projects in NYK i i-shipping: Japanese government funding projects Ship IoT for safety (2016-2020) 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 25
Outline 1. IoT and Big data in shipping 2. NYK activities on IoT and Big data 3. IoT open platform for marine industry 4. Concluding remarks 26
Concluding remarks In the coming era of ship intelligence, we need open collaborations to pursue wide variety of possibilities to improve all aspects of safety and efficiency in shipping 27
Thank you very much for your attention 28