smart ship applications - squarespace · smart ship applications 13th october 2016 hideyuki ando...

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Monohakobi Technology Institute

@ Copyright 2016 Monohakobi Technology Institute

Smart Ship Applications

13th October 2016

Hideyuki Ando

MTI

(Monohakobi Technology Institute, NYK Group)

The Maritime CIO Forum Singapore - The future of iShipping -

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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

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Outline





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Machinery

IoT (Internet of Things)

“Operation Technology (OT)” and “Information Technology (IT)” are to be bridged.

The era of “transparency” where user can access field data.

Automation

PLC*

Sensor Actuator

IP Network IP/Ethernet

Serial, Serial Bus, Analog

Operation Technology (OT) Information Technology (IT)

Serial, Serial Bus IP connected computer

* PLC: Programmable Logic Controller

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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

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Digital Twin - An approach of Product Lifecycle Management(PLM) -

Reference) http://www.gereports.com/post/119300678660/wind-in-the-cloud-how-the-digital-wind-farm-will/

Real Space

(Product, Plant…)

Virtual Space

(3D model, simulation)

IoT data

Information

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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

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IoT and Big data application areas

Role Function Example of Big data application

Ship owner

Technical management

• Safety operation • Condition monitoring & maintenance • Environmental regulation compliance • Hull & propeller cleaning • Retrofit & modification

New building • Design optimization

Ship operator

Operation • Energy saving operation • Safe operation • Schedule management

Fleet planning • 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.

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Outline





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IoT platform in NYK SIMS (Ship Information Management System)

Data Center

SIMS IoT data

+ SPAS manual data

VDR

Integrated Automation

System

Shore Dashboard

- For operation

- For ship manager

• Main Engine

• Power plant

• Cargo control

• Auxiliary machineries

• GPS

• Doppler log

• Anemometer

• Gyro Compass

Sat Com (VSAT, FBB)

<Navigation Bridge>

<Engine Room & Cargo>

Onboard dashboard

Motion sensor

SIMS Monitoring & Analysis at Shore

Operation Center (Tokyo, Singapore …)

Technical Analysis (NYK, MTI)

Performance Analysis

- Long term analysis

- In service performance

SIMS Data Collection Onboard

Analysis SIMS unit

Data Acquisition and Processing

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@ engine rev. 55rpm

<Calm sea performance>

speed:

FOC:

<Performance in the rough sea(BF8)>

speed:

FOC:

Ship performance – key technology for analysis

6000TEU Container Ship

Wave height 5.5m, Wind speed 20m/s

BF scale 8, Head sea

8 knot

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)

14 knot

45 ton/day

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In-service ship performance

<Target vessel> 6000TEU Container Draft 12m even

0deg (wind, wave) – head sea

ビューフォート階級

風速(m/s)

波高(m)

波周期(sec)

BF0 0.0 0.0 0.0BF3 4.5 0.6 3.0BF4 6.8 1.0 3.9BF5 9.4 2.0 5.5BF6 12.4 3.0 6.7BF7 15.6 4.0 7.7BF8 19.0 5.5 9.1BF9 22.7 7.0 10.2

Sea condition

Beaufort scale wind speed wave height wave period

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Ship performance model in service

• Digital Twin of ship performance in-service

• Performances under all possible conditions (draft, trim, wind and wave)

• IoT data are used for correction of the model.

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Optimum weather routing with performance monitoring

Weather Routing（PLAN）

• Voyage plan

+ course, speed, RPM, FOC, weather

+ ship performance model

Monitoring（CHECK）

• Voyage actual

+ actual speed – RPM, RPM - FOC

+ actual weather Feedback

Ship model and weather forecast are inherently include errors.

But feedback loop by monitoring can make this system work better.

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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 & propeller

Expand service available

ports

Hull & propeller Cleaning

Service Provider

Performance Management

Operation Management

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Operation optimization

Voyage simulation with past weather data

Estimation of - Sea margin - FOC and etc.

Ship performance model

Service route

Combine ship performance model with weather data to optimize ship services

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Energy saving hull modification

Operation profile

23 % CO2 reduction was confirmed

Energy saving modification

• Bulbous bow modification • Install energy saving device (MT-FAST) • Etc.

• Speed, RPM, Power • Draft, trim, displacement • Weather • Sea margin • Etc.

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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

T State T T T T T F F

Observation data data data data data data data data

time

…

true fault

Ship main engine

Estimate true state from observed data KIRARI NINJA 360-degree panoramic camera to take photos inside the dark combustion chamber

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Outline





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Ship IoT

• Combination of IoT platform and marine domain knowledge are necessary

• Collaborations with industry partners are important to make practical solutions

IoT platform

Marine domain knowledge

Ship IoT

platform application services

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Concept of Ship – Shore Open Platform for Ship IoT

LAN

Ship Shore

broadband

Se

cu

rity

/ a

cce

ss c

on

tro

l

User

request

Software

agent

data

Data center (operated by

neutral bodies)

Ship owner

Ship

Management

company

Shipyard

Performance monitoring

Service Provider

Energy management

Onboard application

• Weather routing • Performance

monitoring • Engine

maintenance • Plant operation

optimization

Weather routing

Data Center

Ship operator

M/E

D/G

Boiler

T/G…

VDR

Radar

ECDIS

BMS

….

Engine maker

Engine monitoring

Asia

Ship

equipment

maker

Remote maintenance

Se

cu

rity

/ a

cce

ss c

on

tro

l

Europe

Marketing and

Big data analytics

Cargo

crane

.

.

.

Class Society

Onboard

data

server

Open IoT platform (Industry standard)

Application / services (Competition)

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Standardization activities of Ship IoT platform (SSAP2: Smart Ship Application Platform 2 Project by JSMEA)

VDR

Engine D/L

IAS

…

Machinery & Equipment

Ship LAN

Broadband Fleet management

Shore Ship

Own application

Performance

Performance

3rd party application

Condition monitoring

Fleet management

Performance

Weather routing

Own application

3rd party application

Remote diagnostics

Ship Data

Center

Ship – shore open platform

Operator

Cargo owner

Owner

User

Class

Manufacturer

Shipyard

…

Ship manageme

nt

Onboard data

server (standardized)

Proposal of new ISO regarding Ship IoT • ISO/CD19847 - Shipboard data servers to share field data on the sea

• Specifications of ship onboard data server

• ISO/CD19848 - Standard data for machinery and equipment part of ship • Specifications of dictionary and format

Onboard data

server (standardized)

JSMEA: Japan Ship Machinery and Equipment Association

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SSAP2

Process for ISO (ISO CD19847, ISO CD19848) *

• ISO PWI 19847/19848 were accepted as NP in Aug 2015

• The first ISO/TC8/SC6/WG16 meeting was held in June 2016 in Tokyo

• 2 CDs will be distributed soon for comment and voting to the P-members of ISO/TC8/SC6

NP

WD

CD

DIS

FDIS

IS

2016

2017

2018 Aug 2018 Final dead line

2015

Aug 2015 Registered as NP

Now

Dec 2017 Fastest path

・NP: New work item Proposal, WD: Working Draft ・CD: Committee Draft, DIS: Draft International Standard ・FDIS: Final Draft International Standard, IS: International Standard

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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 Fleet management system, big data analysis services, condition monitoring services and IoT platform

Academy 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

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Examples of ship IoT projects in NYK

Collision avoidance and autonomous ship

Simulation of LNG cargo transport

Cargo crane condition monitoring

i-Shipping: Japanese government funding projects

Ship IoT for safety (2016-2020)

Damage prevention of engine-power plant

Propulsive efficiency monitoring

Multi-layered Doppler log

Structural Health Monitoring

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Outline





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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

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Thank you very much for your attention

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