The document describes an environmental IoT project called VasP that aims to gather micro-environmental data using sensor-equipped vehicles to provide information on air pollution levels. Currently, air pollution monitoring stations cannot provide high-resolution data for specific locations. VasP seeks to fill this gap by mapping factors like carbon monoxide, nitrogen dioxide, ozone, sulfur dioxide and more to evaluate living risk indexes and help people choose less polluted areas. The project exhibited successfully at an event and received feedback supporting measuring additional factors like PM2.5 and pursuing correlations between data points.
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Environmental IoT "VasP": Environmental sensing system using business vehicle
8. how about in United States?
300,000/year : Obesity related deaths
101,000/year : Deaths due to lack of health care
88,000/year :Air pollution related deaths (reported by US EPA)
16,500/year : murders
4,300/year : pedestrians killed by automobiles
5% of whole death
Is it small? or big?
9. +27%
+10ppb
Lung cancer risk per SO2 density
reported by Japanese Ministry of the Environment in 2008
researched over 10 year in 3 capital cities
*10 ppb = 0.0000001%
10. Yearly average of PM2.5鐚12亮g/m3 13亮g/m3
Number of Asthma patients鐚46,000 140,000
Expectation reported by US EPA
11. We already had data accumulation
Why such less awareness?
Shortage of the data resolution
We dont know actual situation right here, right there
12. DISTRIBUTION OF CURRENT
MONITORING STATIONS
If the place taking over 1 hour driving from San Francisco City is 30% less of lung cancer
risk .Will you go there with your children just for playing at the park?
13. high-resolution mapping
produced byVasP
max 4.7ppm = 4700ppb difference
lung cancer risk about x100
not 100% up , 100 times!
This is the value of micro environmental information
marina
near 101
Now, you can choose where you play!
*less than 1 mile
between 2 places
14. what is VasP
<MISSION>
gather and provide
micro environmental information
all over the Earth
* Vehicle as Probe =VasP
17. EXHIBITION
gathered CO, CO2, NO2, Ozone, SO2,
temperature, humidity, pressure, noise,
UV, ambient light by bicycles
mapped each data on web application
18. LRI = LIVING RISK INDEX
our original index evaluating air pollution level connected with
death and disease risk
we knew mission area is
better than market for
living, but its shown as
difference of living risk
the behavior of consumers
could be changed
market
mission
19. MAJOR FEEDBACKS
Recommendation to measure PM2.5
and radiation (and pollen)
Lower awareness of environmental
issues in SF (where is the best place?)
Correlations between multiple
factors might make next innovation
(nobody tried) Mr. Furukawa
(former president of Microsoft Japan)
Mr. Sugano
(data scientist)
24. COLLABORATION #1
Simularity
we won the competition of Industrial Hackathon in Meeting of Mind
Day1
Day2
Judges: Qualcomm, Cisco, Microsoft, Richmond City
25. TEAM
https://www.linkedin.com/pub/yuichiro-kuzuryu-kuz/38/928/27b
yuichiro kuz kuzuryu
master degree of electrical engineering atTokyo Institute ofTechnology in Japan
YAMAHA Corp. 8.5 yrs
electrical engineer, project manager and product producer
Miselu Inc. (startup company in SiliconValley) 3.5yrs
hardware architect, director of engineering
YAMAHA Motor US 0.5yrs
hardware engineer
embedded software engineer
SIer
web application engineer
project manager
entrepreneur
27. (APPENDIX)
EXAMPLE OFTARGET MATERIALS
air pollution
CO, CO2, NO2, O3, SO2, toluene, methan, N2O, benzene, etc.
climate
temperature, humidity, barometric pressure, UV, ambient light, etc.
critical risks
PM2.5, radiation, etc.
smell and living comfortability
ammonia, H2S, sound noise, etc.