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Combining Mobile Air Quality Sensors With Census Data

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Simularity won the Meeting of the Minds 2015 Industrial Hackathon with this project. We partnered with Yamaha, who has a prototype air quality sensor package for attaching to vehicles, called Vehicle as Probe or "VasP". The project involved attaching the VasP Unit to a vehicle and driving around the target city. That data was combined with census data for the city and imported into Simularity's AI engine and user interface. For the contest we demonstrated the analytics happening in real time as vehicles with VasPs attached drove around the city. The results were published to the web. The proposal is that VasP units be attached to all city vehicles so that residents and city planners can get both real-time hyper-local access to air pollution information, and also look at trends over time, spot anomalies, and predict problems. For a demo of the system, see https://youtu.be/BJG7HJ6yhqs

Published in: Government & Nonprofit
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Combining Mobile Air Quality Sensors With Census Data

  1. 1. © Copyright 2015 Simularity. All Rights Reserved Improving Quality Of Life And Environmental Equity In Richmond With Mobile Air Quality Sensors Combined With Census Data Liz Derr, Co-Founder and CEO Yuichiro Kuzuryu, Hardware Architect, New Venture Business Development
  2. 2. © Copyright 2015 Simularity. All Rights Reserved 2 The Problem: Richmond Is Home To Industries That Sometimes Pollute August 25, 2012 Chevron’s Richmond Refinery – the company’s second largest refinery – spewed toxic smoke over Richmond and San Pablo sending more than 14,000 people in the East Bay to medical facilities with smoke- related complaints.
  3. 3. © Copyright 2015 Simularity. All Rights Reserved 3 Richmond Has An Air Monitoring Website 3 Areas: • Atchison Village • North Richmond • Point Richmond 2 Locations Per Area: Refinery Fence Line and Community Chevron might not be the only problem, or even the biggest problem, but all we’re measuring is the air near the refinery, so how would we know?
  4. 4. © Copyright 2015 Simularity. All Rights Reserved 4 Our Proposed Project 1. Attach mobile air quality sensors to city vehicles to get a broad, real-time view of air quality throughout the city 2. Publish the real time air quality data for citizens to refer to 3. Use predictive analytics that combine air quality data with census data for policy and planning insights
  5. 5. © Copyright 2015 Simularity. All Rights Reserved 5 What We Did Correlation and Similarity Calculations REST API Simularity Knowledge Base Simularity Intelligent Agent Simularity Created User Interface
  6. 6. © Copyright 2015 Simularity. All Rights Reserved VasP Sensor Unit air pollution sensors: Ozone, NOx, SO2, CO, CO2, PM2.5, etc. dimension 4x3x1.5 (estimation) GPS optional: driving information mobile battery or connection to vehicle’s electrical system other sensors: temperature, humidity, barometric pressure, UV, ambient light, accelerometer, radiation, etc. mobile connectivity Mock-up of final product
  7. 7. © Copyright 2015 Simularity. All Rights Reserved How To Attach The VasP Neodymium Magnet or Permanent Attachment (theft prevention)
  8. 8. © Copyright 2015 Simularity. All Rights Reserved 8 Step 1: Connect The VasP To A Car And Collect Readings Maiden Voyage! Prototype VasP
  9. 9. © Copyright 2015 Simularity. All Rights Reserved 9 Step 2: Ingest VasP Readings Into UI and Correlation Engine
  10. 10. © Copyright 2015 Simularity. All Rights Reserved 10 Step 3: Ingest Census Data Into UI and Correlation Engine
  11. 11. © Copyright 2015 Simularity. All Rights Reserved 11 Step 4: Combine Census Data With VasP Readings VasP Data: Nitrogen Dioxide Census Data: Median Household Income High Median Income Areas Had Worse NO2 Readings! Studies on human populations indicate that long-term exposure to NO2 levels currently observed in Europe may decrease lung function and increase the risk of respiratory symptoms such as acute bronchitis and cough and phlegm, particularly in children.
  12. 12. © Copyright 2015 Simularity. All Rights Reserved 12 Step 5: Find Correlations Between Census Data And VasP Readings Correlation Engine Query: Which Areas Are Correlated With Medium To High (360 – 528) Levels Of Nitrogen Dioxide?
  13. 13. © Copyright 2015 Simularity. All Rights Reserved 13 Step 5: Find Correlations Between Census Data And VasP Readings VasP Data Details For Tract 379000: Tract 379000 is Negatively Correlated With Med-High NO2 Readings in tract 379000 that match the med-high criteria (360- 528): 39 of 367 readings
  14. 14. © Copyright 2015 Simularity. All Rights Reserved 14 Step 5: Find Correlations Between Census Data And VasP Readings VasP Data: Nitrogen Dioxide Details And Correlations For Census Tract 386000 Log Likelihood Correlations Between “Medium to High NO2 Readings” and “All Census Subgroups By Tract”
  15. 15. © Copyright 2015 Simularity. All Rights Reserved 15 Product Readiness Simularity Software • Simularity’s Knowledge Base And Intelligent Agent Software Is Fully Functional And Deployed At Several Customer Sites • The User Interface Demonstrated Is Fully Functional VasP Unit • Prototyping stage now, launch next year
  16. 16. © Copyright 2015 Simularity. All Rights Reserved VasP Launch Schedule Nov Dec Jan Feb Mar Apr May Jun Jul pilot launch (beta version) official launch beta version development funding additional research company build
  17. 17. © Copyright 2015 Simularity. All Rights Reserved 17 Competition Categories Of Our Project • Healthy living: Real-time hyper-local air quality measurements available to the public help citizens with Asthma or other respiratory issues plan • Energy efficiency: measuring hyper-local CO2 emissions can indicate areas for reducing emissions • Urban Sustainability: hyper-local air quality metrics, available online in real time give a broader picture of the air quality per neighborhood vs. static measuring stations • Great Outdoors: • Provides a citizen facing information service that provides historical and real-time information about environmental air quality • Enhances existing datasets (census data) through additional environmental sensors (gathered from VasP) • Enhances the value of new datasets in terms of community-and/or policy impact (correlations of census information with hyper-local air quality data) • Environmental justice/equity considerations: • Which neighborhoods are suffering the most? • Which locations are polluting the most?
  18. 18. © Copyright 2015 Simularity. All Rights Reserved 18 Project Affordability • Simularity’s knowledge base and intelligent agent software is licensed by usage and can be installed on premise or hosted. • The user interface can be customized by any web developers. • The VasP unit pricing is projected to be in the range of $50 to $150.
  19. 19. © Copyright 2015 Simularity. All Rights Reserved 19 Features For Future Phases • Calibrate the sensor readings and establish appropriate safety levels • Allow citizens to sign up for hyper-local text alerts when dangerous air quality situations exist in their neighborhood • Add additional sensors, measure noise levels • Create VasPs that can be purchased by citizen scientists and attached to their own cars or homes and allow citizens to view their own VasP data
  20. 20. © Copyright 2015 Simularity. All Rights Reserved 1160 Brickyard Cove Road, Suite 200 Point Richmond, CA 94801 United States + 1 415-819-5731 liz@simularity.com THANK YOU @simularity https://www.youtube.com/c/simularity www.simularity.com

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