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Listen to the Pulse of the City

Dr. Mazlan Abbas
Dr. Mazlan Abbas
Dr. Mazlan AbbasCEO and Co-Founder of FAVORIOT | An IOT Evangelist | Keynote Speaker | IOT Thought Leader. at FAVORIOT

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

Listen to the Pulse of the City

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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
What is Your Pulse Rate?
What-If You Can Capture
More Than Your
Heart Beat?
PRESENTATION CONTENTS
•  Need to Connect Things
•  Why IoT?
•  Opportunities & Challenges
•  Building Smart Cities
•  Making Sense of Data
•  Pulse of the City
•  Summary
What items
are missing?
Who is a
better and
safer bus
driver?
How reduce
my electricity
bill?
When is my
next train?
Where can I
park?
Why are my
items not
selling?
THE NEED TO CONNECT THINGS
How Big is the IOT Market?

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Listen to the Pulse of the City

  • 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. What items are missing? Who is a better and safer bus driver? How reduce my electricity bill? When is my next train? Where can I park? Why are my items not selling? THE NEED TO CONNECT THINGS
  • 6. How Big is the IOT Market?
  • 11. IOT – BASICS TO ADVANCED SERVICES Monitor Autonomous Optimize Control
  • 13. Security and Privacy of data Managing vast amounts of data Fragmented industry Finding the right business model WHAT ARE THE BUSINESS CHALLENGES
  • 14. 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.
  • 15. Cities are the engines for economic growth But the development was not always “smart,” sacrificing health conditions, for instance, for greater productivity.
  • 16. 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.
  • 17. 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”
  • 18. TO OVERCOME 3 KEY CHALLENGES Only by addressing all three can organizations turn raw data into information and actionable insights. Integrating data from multiple sources Automating the collection of data Analyzing data to effectively identify actionable insights
  • 19. MAKING SENSE OF DATA … BUT WHAT CITY DATA? THE GOLD RUSH
  • 20. Wisdom Knowledge Information Data More Important Less Important Evaluated understanding Appreciation of Answers to questions. Symbols Understanding Answers to questions WHO WHY HOW WHAT WHERE WHEN VALUE IS CREATED BY MAKING SENSE OF DATA VALUE PYRAMID
  • 21. Wisdom Knowledge Information Data More Important Less Important N/A Empty (0), Full (1) Understanding EXAMPLE - SMART PARKING Who park at this lot? What kind of vehicle? Where is the empty parking lot? When is the peak period? How to implement a tiered charging? How to find “overstayed” vehicles? Why this parking area is not fully occupied? Who Benefits? - Citizens / Parking Operators / City Council / Shops
  • 22. HOW-TO PROVIDE A SMART CITY SOLUTIONS? HOW-TO
  • 23. DATA OWNERSHIPS Personal / Household Private Public Commercial Sensor Data Provider
  • 24. Home Health Transport OfficeWaste WHAT-IF – WE CAN DO DATA BLENDING Creating New Compound Applications
  • 26. The city would pay for access to the light sensors in order to decide when to turn on and off the street lights Gathering temperature, light, pressure, humidity and pollution. COMMERCIAL IOT SENSOR PROVIDER A university may want access to the pollution information for research purposes for a limited period The weather department would want the temperature and pressure data The street town council center would want the temperature and humidity data for planning during rough weather
  • 27. BENEFITS OF SENSING-AS-A-SERVICE Harnessing the Creativity Rapid Deployment Sustainable Business Model Assisting Scientific Community
  • 28. Smart City Agenda For city leaders wanting to pursue a smart city agenda, citizen inclusion is critical
  • 29. As citizens turn smart so will the cities they inhibit. Traffic Volume Maps 76% want sensors in streets, pavements and public areas to report how crowded a street, shopping mall or park is. THE RISE OF SMART CITIZENS
  • 30. Building Trust Citizens encounter good customer service across government channels
  • 31. SMART CITIZEN TOOLS Open source and open data Make visible the invisible Sensing the city Provide tools for the citizens to interpret and change the workings of the city Technology may help mitigate the “black hole” problem. EMPOWER THE CITIZENS TO SENSE
  • 33. 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  Spatial – Location / Speed Orientation ②  Temporal – Time / Duration ③  Environmental – Temperature / Light / Noise Level ④  User Characterization – Activity (Mobility Pattern) / Social (Friends, Interactions)
  • 34. MAKING CITIES BETTER USING CITIZENS Traffic NoiseEnvironment Network Coverage (WiFi/3G/4G)
  • 35. LET ALL CITIZENS BE OUR “EYES”
  • 39. DRAINAGE ISSUES – CAUSE OF FLASH FLOOD?
  • 40. 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
  • 41. MOBILE APPLICATION Open Data Smartphone Users Social Media Users PORTAL CITISENSE.COM CASE MANAGEMENT SYSTEM DASHBOARD EMPOWERING SMART CITIZENS
  • 43. WHICH CAME FIRST – THE CHICKEN OR THE EGG?
  • 44. SMART CITIZENS AND SENSORS CONNECTING AND AGGREGATING
  • 45. Smart City Environmental Monitoring Multiple Sensors Outdoor Parking Management Parking sensors Mobile Environmental Monitoring Sensors installed in public vehicles Traffic Intensity Monitoring Devices located at main entrance of city Guidance to free parking lots Panels located at intersections Smart Citizen Crowdsensing Parks and Gardens Irrigation Sensors in green zones •  Temperature •  CO •  Noise •  Car Presence •  Ferromagnetic sensors •  Temperature •  CO •  Noise •  Car Presence •  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 •  Moisture temperature •  Humidity •  Pluviometer (rain gauge) •  Anemometer (wind-speed) •  User generated feedback with smartphones that help to make cities better
  • 47. 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?
  • 48. 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
  • 49. 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.
  • 51. WASTE MANAGEMENT 1.  Who is collecting the garbage? 2.  What is the status of garbage bin? 3.  When was the garbage collected? 4.  Where is the location of full bins? 5.  How to plan the route of the trucks? 6.  How many days till the next collection? 7.  How much garbage is produced in an area? 8.  Why is the garbage truck not picking up garbage? 9.  Why is a particular area producing more garbage?
  • 52. WASTE MONITORING – SENSORS & INFRA 1.  Garbage level sensors on garbage bins 2.  GPS on garbage trucks 3.  Network infrastructure (WiFi, 3G)
  • 53. WASTE MANAGEMENT – VALUE PROPOSITION •  Timely pickup of full garbage bins •  Efficient routing of the garbage trucks •  Violation of service agreement by the garbage collectors •  Plan for future dumping sites •  Predict the amount of garbage from an area •  Organize awareness programs to promote recycling •  Correlation can be derived to gauge the population in a particular area
  • 54. If You Can’t Measure It, You Can’t Improve It
  • 55. THANK YOU @REDtoneIOTREDtoneIOT •  EMAIL: mazlan@gmail.com •  TWITTER: @mazlan_abbas •  FACEBOOK: www.facebook.com/drmazlanabbas •  LINKEDIN: my.linkedin.com/in/mazlan/ •  SLIDESHARE: www.slideshare.net/mazlan1 •  ABOUT ME: about.me/mazlan.abbas