Prepared by: Matthew Lam BE(Hons) ME DipMgt CEng RPE MIET MIPENZ

SMART CITY – INFRASTRUCTURE - SENSORS

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Introduction

Master Degree in electronic engineering Chartered Engineer CEO Hutchison Telecom Vietnam CEO Hutchison Telecom Malaysia COO Hutchison Telecom Sri Lanka CTO Wharf T&T Departmental Manager Telecom New Zealand Successfully started up and managed telecoms/ technology

companies in Hong Kong, Australia, Vietnam, Malaysia, Sri Lanka

CEO

Matthew Lam BE ME DipMgt CEng RPE MIET MIPENZ

The Company 2010 - Idea conceived 2012 - Company established 2012 - Patents obtained from HKSAR & Chinese Governments……..more coming 2013 (July) - Product launched

Elements of A Smart City

Smart City

Utilities Infrastructure Buildings Homes Processes

Enabling Technologies: Sensors Communications Networks IoT Data Analytics Software/ Applications

Advanced Material

Smart Infrastructure / Utilities

Smart Infrastructure are infrastructure that respond intelligently to changes in its environment,

including user demands and other infrastructure, to achieve an improved performance

Definition – extracted from “Royal Academy of Engineering”

Implementation

Four elements

Collect Data Analysis Feedback Adapt

Sensors

What do we do

Early stage fault warning / detection

Energy consumption optimisation

Big Data Analytics

Oil / gas pipelines Smart Grid Subway system

Main Unit

Water Noise Temperature,

strain

Buildings

Infra-red Gas

Fibre optic cable

District Cooling Hydrology

Publicity

Our Coverage: Distributor Network

Middle East Khatib & Alami

China

India JESCO Projects

Singapore

Indonesia PT Duta Listrik Grha Prima

Russia Artic Technology Presnenskaya

Mexico Jorge Pardo, BIIS

EXCLUSIVE DISTRIBUTOR

NON EXCLUSIVE DISTRIBUTOR

Vertical Distributors

Smart Grid – Smart Power Cable Network

Product Status: in commercial use

China Light & Power

We provided our system to China Light & Power, the largest power company in Hong Kong, to establish SMART GRID systems for its Extra High Voltage / High Voltage power cable network Benefits Early detection of cable

fault

Prevent power outage

Optimise loadings on cable network

Power Network Real-time Monitoring

Smart Grids

Operations Conditions Profiling

Jakarta International Airport Terminal 3: Smart Airport The new Terminal 3 will be the ONLY international terminal for Jakarta at its opening in 2016 The client/ user is Angkasa Pura (Airport Authority of Indonesia) Our System forms part of the SMART Airport System

Self-monitoring Self-diagnosis

Terminal 3 under construction – January 2015 Electrical System Diagram of Jakarta Airport Terminal 3

MTRC Airport Express: Smart Power System

We won a tender of MTRC in 2013 to provide a Fibre Optic Sensing system to monitor the operations conditions of the Lantau Airport Railway 33KV Power Cables

The 3.5 km power cables are used to supply electricity to the Airport Express trains

The Fibre Optic system provides Early Stage

Warning on potential power system problems

section of power cables

Looping of fibre optic cables at each end of joint

Thermal Property of Power Cable

Temperature profile of an underground cable hinges to the following factors [reference 1]: Load (% of rated load) profile Cross-section areas of conductors Condition of burial condition (direct buried or in conduit) Surrounding soil (composition, humidity, thermal resistivity) Nearby heat /cool source Age of cable (increasing loss tangent) Condition of cable joint (changes in resistance) Condition of cable insulation (changes in resistance) Transient cable fault

Temperature of Power Cable

The relation between load and temperature of an underground cable is well documented in many reports including IEEE’s [reference 1] and Neher McGrath {equation:

temperature rise vs current load (% or rated current)

Reference 1: IEEE Recommended Practice for Protection and Coordination of Industrial and Commercial Systems. ANSI/ IEEE Stand. 242, 1986. p.344

Typical temperature distribution of underground cables

Thermal profile analysis

More technical details

Power cables: Neher-MacGrath; IEC 60287

IEEE temperature rise vs current relation Neher – McGrath equation

Close co-relations between power cable loading and temperature

Effect of insulation of power cable and modelling

Power cable has layers of insulation

These layers are made of different materials that have various thermal properties

A RC circuit model is used to simulate the thermal effect of each layer

Smart Gas & Oil Pipelines

Corrosion Monitoring

Status: R&D Stage

Pipelines Oil & gas industries deploy substantial amount of infrastructure

Failure of these infrastructure can cause catastrophic losses and

adverse environmental effects

BP oil spill in April 2010 killed 11 people and BP was fined US$20 billion

There are more than 3.5 million km of oil & gas pipeline in 120 countries

There have been, on average, more than 300 significant pipeline failures per year [ref. KPMG Global Energy Institue]

Corrosion accounts for over 30% of pipeline failure

Present method of corrosion involves extensive manual

operations and have inherent operations limitations

Corrosion

External Force

Other

CAUSES OF PIPELINE FAILURES

Extensive pipeline network in Asia

Thousands of wildlife were destroyed because of BP oil spill

Objectives of Development

To identify a solution to monitor and quantitatively assess the corrosion situation of pipelines. The solution should meet the following requirements: Self-operable. Once the solution is set-up, it will operate independently and requires no/

minimum manual operation Full-length, full-area monitoring. The solution can monitor the full length of pipelines and cover

both exterior and interior surfaces Quantitative assessment. The solution can provide quantitative results to facilitate “fitness-for-

purpose” decision Monitor on a 24x7 basis Remote accessible and can be fully integrated with other external control systems Commercially economical Mass-producible Further Patent the solution and all associated IP

Technology Options 1. Ultrasonic

2. Imaging

An ultrasonic transducer is coupled to the pipeline and an ultrasonic wave is transmitted into the pipeline.

The reflected signal is then captured and analysed

This technology option is based on changes in the pipeline surface texture at the corrosion spot.

The captured image will then be processed using clustering algorithm technique

Technology Options

3. Electro Magnetic Wave

This method involves propagating a guided electromagnetic wave (EM wave) in the walls of the pipes and look for reflections from the corrosion spots (defects). The reflected wave is then received and analysed. Issues of importance are frequency of the EM wave and establishment of the refection pattern and the intensity of corrosion

Methodology The R&D is being carried out in collaboration with Department of Physics (Professor Prof. Aleksandra B.

Djurišić), HK University.

The Project has been granted approval from Innovation and Technology Commission on “R&D Cash Rebate Scheme” [Reference CRP/040/16 Dated 29 April 2016]

A five-stage approach:

Stage Deliverables

Literature research Synopsis of the documents & papers researched with highlights on the technologies used to detect corrosion and their respective limitations

Analyse, identify and design Recommendation on two to three feasible technology options that will meet the requirements of the target solutions. Prioritise the options in terms of their respective degree of viability

Prototype design, construction and laboratory testing Two most viable options are selected for prototypes construction

Analysis of results and review The test results and findings are analysed and conclusions are drawn

Field testing The prototype is applied to an operational pipeline for field testing

Smart City - Infrastructure: The Future

END