e-navigation Underway International February 2016 Kilyong Kim(GMT Co., Ltd.) Co-author : Seojeong Lee(Korea Maritime and Ocean University)

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1 e-navigation Underway International February 2016 Kilyong Kim(GMT Co., Ltd.) Co-author : Seojeong Lee(Korea Maritime and Ocean University)

4 Eureka R&D project From Jan 2015 to Dec partners from Netherlands, Turkey, Spain, Republic of Korea 2 end users (Port of Rotterdam, Republic of Turkey Ministry of Transport, Maritime Affairs and Communication) Sensor integration Plug & Play architecture UAV platform Turkey Korea behavior analysis MSI service & visualization Standardized data model 3D visualization Operator Aids Spain Netherlands Multiple sensor processing Data security & sharing platform Real-time data interface

5 Purpose Enable the development of plug & play solutions Enhance sensors-processing and intelligent decision-making capabilities and intelligent operator-aids of such systems to achieve smart surveillance Developing acoustic and physico-chemical sensors, LTA(Lighter Than Air) and stationary wing UAV(Unmanned Aerial vehicle)

Collection IoT Sensor Platform Best Safety Route Marine Safety

thermal, Bio-Sensor UAV AIS, RADAR AIS, UHF, 3G, LTE Position Engine

Video Data / Image Processing Data Fusion IoT Sensor M/W Ship Image,

Rules & Knowledge Security /Safety Info Alarm Generator Ship Target 3D

Acoustic Direction AVS / Sonar Plug & Play Interface Integration

6 Collection IoT Sensor Platform Best Safety Route Marine Safety Information Alerts Long-time & Wide Coverage UAV Terminal EO, IR, thermal, Bio-Sensor UAV AIS, RADAR AIS, UHF, 3G, LTE Position Engine Weather Fire UHF Satellite network ship position IoT Ship Sensor Image, Video Data / Image Processing Data Fusion IoT Sensor M/W Ship Image, Plug & Play Platform Human Detection, Ship Classify Behavior analysis Rules & Knowledge Security /Safety Info Alarm Generator Ship Target 3D Visualization Presentation Buoys& Under-water network Water Flow Acoustic Direction AVS / Sonar Plug & Play Interface Integration Command & Control System Surveillance Analysis Marine Safety Information MSI Service System Smart Device

7 Case #1. How to collect sensor data on board Case #2. Detection and tracking of small or non-cooperative vessels Case #3. How to improve software quality

8 Case #1. How to collect sensor data on board

9 Case #1. How to collect sensor data on board Background There is various accident risk in maritime, such as collision, grounding, sinking, fire/explosion and engine damage There are several devices and sensors that are installed on vessels in compliance with international regulations. Sensor data on board is key parameters for behavior analysis to predict maritime accident and to detect abnormal behavior. AIS UHF Gyro Wind 6 axis Fire Engine Sonar ENC Sensor data on board Position, Type, Speed, Direction Navigational information for small vessel Heading, Rate of turn Wind speed, Wind direction Acceleration, Roll, Pitch, Yaw Smoke, Temperature, Flare Temperature & Pressure of engine Depth of water Hydrographic data Services Vessel monitoring Collision prediction Recommend safety route Small vessel monitoring Marine weather Detection of sinking, grounding Detection of drift Detection of Fire / Explosion Detection of Engine Damage

10 Case #1. How to collect sensor data on board To interface with legacy sensors on board Need to apply international standard (IEC ,2,3,450, SensorML...) Algorithm to select optimal maritime communication autonomously Considering type, priority, transmission interval of collected data and cost and data rate of available network Data exchange between ship and shore side system Using proper interface with open API (IoT platform, Maritime Cloud...) Wired Network (RS422/232, Ethernet) Internal Wireless Network (Bluetooth, WIFI) External Wireless Network (3G/LTE, VHF, UHF, WIFI) On board system IoTplatform, Maritime Cloud On board Plotter (A company) Fire Detecting Sensor On board plotter (B company) Sensor Interface Device AIS / UHF Sensor interface device (AP) Ship Area Network (Bluetooth, WIFI, Ethernet, RS422/232) Engine Sensor Echo Sounder Sensor Sensor Interface Device Sensor interface device Nonstandard Sensor Wind Sensor Sonar Sensor Gyro Sensor 6 axis Sensor

system Wind sensor On board system Behavior analysis server Rules & Knowledge

.. Plug & Play platform UAV systems Sonar sensor Gyro sensor Echo sounder 6 axis

11 Case #1. How to collect sensor data on board Ship side Shore side Situational awareness system Wind sensor On board system Behavior analysis server Rules & Knowledge server Fire sensor Engine sensor AIS, UHF... Plug & Play platform UAV systems Sonar sensor Gyro sensor Echo sounder 6 axis sensor nonstandard sensor Sensor interface device Ethernet/ Wi-Fi AIS/UHF 3G, LTE, Satellite... IoTplatform, Maritime Cloud AIS /UHF 3G/LTE Sensor integration server Web Server Data server Command & Control system Mobile Application On board plotter Mobile Application MSI service system Plug & Play Layer ASM server MSI server Map server Web server? Interfacing system

12 Case #1. How to collect sensor data on board We implemented the prototype of hardware to interface with some of the sensors on board. This year, we are going to implement the plug & play function and other remaining algorithm based on this prototype. IoT interface device (Sink Node) Hub Wind sensor PC IoT interface device (Sensor Node)

13 Case #2. Detection and tracking of small or non-cooperative vessels

14 Case #2. Detection and tracking of small or non-cooperative vessels Detection relies on radar & AIS signals (which non-cooperative vessels do not send). Existing surveillance systems based on radar only are not always able to recognize not reported threats and issues, such as non-cooperative vessels, carrying illegal immigrants. We are going to use multiple sensors to detect and classify the vessels. IR(Infrared Ray) cameras, PTZ(Pan Tilt Zoom) cameras Acoustic sensors Unmanned Aerial Vehicles (UAV) Lighter-Than-Air Fixed-wing UAV

15 Case #2. Detection and tracking of small or non-cooperative vessels The 1 st demonstration in port of Rotterdam (17 th Dec, 2015) Purpose of demonstration To detect vessels using visual sensors To integrate by DDS(Data Distribution Service) system To portray detected targets and analyze for collision prediction based on ENC Installed cameras 2x fixed thermal cameras 1x Pan-Tilt-Zoom (PTZ) cameras Extensions for 5x additional cameras

16 Case #2. Detection and tracking of small or non-cooperative vessels Data integration using DDS(Data Distribution Service) Data of detected target : ID, position, SOG, COG, size of ship... <Netherlands> Acoustic Detection DDS (Data Distribution Service) Targets detected by sensors <Republic of Korea> Classification Gateway Navigational Information (AIS, detected Target) EyeMap (ENC Base) AIS receiver AIS Middleware Targets received by AIS Collision prediction Result of Collision Prediction

17 Case #2. Detection and tracking of small or non-cooperative vessels Integrated detected target using DDS Displayed target based on ENC (red symbol: detected by sensor) Collision prediction demonstrated using AIS and detected target data AIS (Blue symbol) Predicted collision position Targets detected by multi-sensors (Red symbol)

18 Case #3. How to improve software quality

19 Case #3. How to improve software quality Background The guideline on Software Quality Assurance and Human-Centered Design for e-navigation was adopted by IMO In order to assure the software quality, it is necessary to follow a defined procedure throughout the entire software development period. The utilization of tools to support this can become one of important factors to improve productivity of software development and to keep the software quality consistently.

20 Case #3. How to improve software quality Adopted CI(Continuous Integration) tool to keep software quality consistently Automated the process which compiles tests verifies deploys source codes Four steps to apply CI tool Adjusting software development process Tailoring templates and documents Adopting CI tools Applying to a sub-system of APPS SoftwareManager FinalBuilder

21 Case #3. How to improve software quality Managing the status of progress visually Communicatingbetween stakeholders using templates and documents Tracing the history of change of every requirements Reducing cost and time to integrate and build source codes Understanding the necessity of quality management

23 Introduced e-navigation experience in EUREKA-supported APPS project Conducted 3 case studies focusing on e-navigation. This result can be connected to the existing test-beds with proper interfaces in the future.

24 Kilyong Kim GMT Co., Ltd. Seojeong Lee Korea Maritime and Ocean University

Development of IoT based Pier collision Monitoring System

, pp.148-153 http://dx.doi.org/10.14257/astl.2016.137.28 Development of IoT based Pier collision Monitoring System Soo-Yeol Park 1, Sung-min Kang 1, Keum-Soo Yeo 1, Byung-Yun Won 1 1 Korea Plant Maintenace