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Listen to the Pulse of the City

Adjunct Lecture by Dr. Mazlan Abbas, UTHM, Sept. 21, 2015

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Listen to the Pulse of the City

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  1. LISTEN TO THE PULSE OF THE CITY USING IOT Dr. Mazlan Abbas CEO - REDtone IOT Sdn Bhd Email: mazlan.abbas@redtone.com UTHM, Sept. 21, 2015

  2. What is Your Pulse Rate?

  3. What-If You Can Capture More Than Your Heart Beat?

  4. PRESENTATION CONTENTS Need to Connect Things Why IoT? Opportunities & Challenges Building Smart Cities Making Sense of Data Pulse of the City Summary •  •  •  •  •  •  • 

  5. THE NEED TO CONNECT THINGS What items are missing? Where can I park? Who is a better and safer bus driver? When is my next train? How reduce my electricity bill? Why are my items not selling?

  6. How Big is the IOT Market How Big is the IOT Market? ?

  7. IOT – BASICS TO ADVANCED SERVICES Autonomous Optimize Control Monitor

  8. IOT BENEFITS Reduced Costs Improved Performance Create Innovative Products New Revenue Streams

  9. WHAT ARE THE BUSINESS CHALLENGES Fragmented industry Security and Privacy of data Managing vast amounts of data Finding the right business model

  10. The Final Aim of Smart City •  To support better living, create more opportunities, support stronger and more cohesive communities and improve the quality of life overall for all residents •  To make a better use of the public resources •  Reducing the operational costs of the public administrations.

  11. Cities are the engines for economic growth But the development was not always “smart,” sacrificing health conditions, for instance, for greater productivity.

  12. Multiplier Effect of Economic Growth via Technology With greater use of technology, a number of cities are accumulating data, delivering innovation, and enhancing lives of citizens.

  13. BUILDING 3 TYPES OF CITIES 1.  ROI-driven –  the aim of rolling out smart city technologies is to generate income which pays for its deployment and more. There are many cities in the western hemisphere which fall into this category, such as Los Angeles, London. 2.  Carbon-driven –  The aim here is to reduce the carbon footprint and ideally become carbon neutral long-term. These are mainly cities in Middle and Northern Europe, such as Luxembourg, Helsinki, etc. 3.  Vanity-driven –  Finally, “vanity” driven cities are mainly driven by events where the entire world is watching and they want to be perceived as “modern”

  14. TO OVERCOME 3 KEY CHALLENGES Automating the collection of data Integrating data from multiple sources Analyzing data to effectively identify actionable insights Only by addressing all three can organizations turn raw data into information and actionable insights.

  15. THE GOLD RUSH MAKING SENSE OF DATA … BUT WHAT CITY DATA?

  16. VALUE IS CREATED BY MAKING SENSE OF DATA Wisdom More Important Evaluated understanding WHY Appreciation of Understanding Knowledge Answers to questions. HOW Answers to questions WHERE WHEN WHO WHAT Information Less Symbols Data Important VALUE PYRAMID

  17. EXAMPLE - SMART PARKING Wisdom More Important N/A Why this parking area is not fully occupied? Understanding How to implement a tiered charging? How to find “overstayed” vehicles? Knowledge Who park at this lot? What kind of vehicle? Where is the empty parking lot? When is the peak period? Information Less Data Empty (0), Full (1) Important Who Benefits? - Citizens / Parking Operators / City Council / Shops

  18. HOW-TO HOW-TO PROVIDE A SMART CITY SOLUTIONS?

  19. DATA OWNERSHIPS Personal / Household Private Public Commercial Sensor Data Provider

  20. WHAT-IF – WE CAN DO DATA BLENDING Waste Home Health Transport Office Creating New Compound Applications

  21. WHAT-IF SENSING-AS-A-SERVICE

  22. COMMERCIAL IOT SENSOR PROVIDER Gathering temperature, light, pressure, humidity and pollution. The street town council center would want the temperature and humidity data for planning during rough weather The city would pay for access to the light sensors in order to decide when to turn on and off the street lights The weather department would want the temperature and pressure data A university may want access to the pollution information for research purposes for a limited period

  23. BENEFITS OF SENSING-AS-A-SERVICE Harnessing the Creativity Rapid Deployment Assisting Scientific Community Sustainable Business Model

  24. Smart City Agenda For city leaders wanting to pursue a smart city agenda, citizen inclusion is critical

  25. THE RISE OF SMART CITIZENS Traffic Volume Maps 76% want sensors in streets, pavements and public areas to report how crowded a street, shopping mall or park is. As citizens turn smart so will the cities they inhibit.

  26. Building Trust Citizens encounter good customer service across government channels

  27. SMART CITIZEN TOOLS Technology may help mitigate the “black hole” problem. Provide tools for the citizens to interpret and change the workings of the city Make visible the invisible Sensing the city Open source and open data EMPOWER THE CITIZENS TO SENSE

  28. EMPOWER THE CITIZENS TO SENSE GETTING INSIGHTS FROM CROWDSENSING

  29. SMARTPHONE AS YOUR “SENSING ASSISTANT” Sensors: ①  Camera – “Eyes” ②  Audio – “Ears” ③  Accelerometer – “Speed” ④  GPS – “Location” ⑤  Gyroscope – “Movement” ⑥  Compass – “Direction” ⑦  Proximity – “Closeness” ⑧  Ambient light – “Eyes” ⑨  Others… Crowdsourcing Via Crowdsensing Context ① ①  Spatial – Location / Speed Orientation ② ②  Temporal – Time / Duration ③ ③  Environmental – Temperature / Light / Noise Level ④ ④  User Characterization – Activity (Mobility Pattern) / Social (Friends, Interactions)

  30. MAKING CITIES BETTER USING CITIZENS Network Coverage (WiFi/3G/4G) Traffic Environment Noise

  31. LET ALL CITIZENS BE OUR “EYES”

  32. MOBILE APPLICATION

  33. Citiact Case management system (CMS)

  34. Citiact dashboard

  35. DRAINAGE ISSUES – CAUSE OF FLASH FLOOD?

  36. CORRELATE SEVERAL DATASETS Examples •  Relationship between Dengue Cases with drainage issues, mosquito larvae, weather •  Relationship between Leptospirosis (Penyakit Kencing Tikus) with unattended garbage, weather, etc

  37. EMPOWERING SMART CITIZENS MOBILE APPLICATION Smartphone Users CASE MANAGEMENT SYSTEM Social Media Users PORTAL CITISENSE.COM DASHBOARD Open Data

  38. THE MULTI-SIDED MARKET CHALLENGE

  39. WHICH CAME FIRST – THE CHICKEN OR THE EGG?

  40. CONNECTING AND AGGREGATING SMART CITIZENS AND SENSORS

  41. Moisture temperature Humidity Pluviometer (rain gauge) Anemometer (wind-speed) •  •  •  •  Temperature CO Noise Car Presence •  •  •  •  Environmental Monitoring Multiple Sensors Parks and Gardens Irrigation Sensors in green zones Outdoor Parking Management Parking sensors Ferromagnetic sensors •  Smart Citizen Crowdsensing Smart City User generated feedback with smartphones that help to make cities better •  Mobile Environmental Monitoring Sensors installed in public vehicles Temperature CO Noise Car Presence •  •  •  •  Guidance to free parking lots Panels located at intersections Traffic Intensity Monitoring Devices located at main entrance of city Measure main traffic parameters •  Traffic volumes •  Road occupancy •  Vehicle speed •  Queue Length •  Taking information retrieved by the deployed parking sensors in order to guide drivers towards the available free parking lots • 

  42. CHALLENGE CHALLENGE # #1 1 FLOOD MONITORING FLOOD MONITORING

  43. PREDICTING FLOOD 1.  What is the water level in the river? 2.  When does the river swell up? 3.  Where is the location of water rise? 4.  Where are the areas that require immediate evacuation? 5.  Who is contributing to the rise in water level? 6.  How to control the water level? 7.  How fast is the water rising? 8.  Why is the water rising?

  44. FLOOD – SENSORS & INFRA 1.  Water level and weather sensors 2.  Tide monitoring sensor 3.  Astronomical data 4.  GPS for rescue vehicles (Plug-n-Play OBD) 5.  GIS data 6.  Camera 7.  Social network integration

  45. FLOOD MONITORING – VALUE PROPOSITION 1.  Early warning system for floods 2.  Locating the area of violation (cause of floods) 3.  Efficient rescue planning 4.  Plan the widening of the river banks 5.  Plan deepening of the river bed 6.  Predict the conditions of flooding when coupled with a weather station, astronomical, tide and GIS.

  46. CHALLENGE CHALLENGE # #2 2 WASTE MANAGEMENT WASTE MANAGEMENT

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