Open qwertyone opened 5 years ago
What is AirFlow?
Air pollution is a deadly, man-made problem, responsible for the
early deaths of some 7,000,000 people every year,
around 600,000 of whom are children.*
It is estimated that
90 per cent of the world’s population breathe polluted air. Source: United Nations
But what can we do against it? What can be done to reduce air pollution for citizens from Stuttgart to Shanghai immediately and in the long run?
Our Answer: The intelligent gathering and use of air pollution data for …
§ Citizens - especially the most vulnerable (i.e. children, elderly) A mobile App to find the lowest Air-Pollution routes from A to B. -> Immediate reduction of the exposure to air pollution
§ Cities / Communities High-Resolution, real time mapping and forecasts of air-pollution -> Empower communities to take action for the reduction of overall air pollution
Our Approach: The use of artificial intelligence to combine data from stationary and mobile sensors, satellites and weather stations.
For its outstanding concept, the AirFlow-Team was awarded a Microsoft AI for Earth Grant.
From Roland:
my proposal as our framework
by our web page that should help
our need, purpose of our project and our team-members
to pitch with you and our upcoming stakeholders:
AFQ AIR FLOW QUALITY Pathfinder - Prototype 4 Berliners - AI* Solution by mobile measurement of dynamic points at vehicles, locations and via satellite in real-time
The mission of our international AIR FLOW Quality Pathfinder Project are
our team is going to create practical know-how within AI*- :
Ø A blueprint of an AI-based and dynamic AIR FLOW Quality Pathfinder Prototype for the healthier option for everyone
“How to move from A to B at the inner part city of Berlin”.
The health for each human being is the purpose:
The TOP is the lowest pollution-score for the navigation-routing.
Our AFQ-Pathfinder as solution should create leverage by systems, structures and processes:
Ø How “To move from A to B” we will map in real-time - by AI based scenarios - the dynamic of pollution data from satellites, local vehicles and stations. TOP for the health of each human mover is the lowest pollution-score for his walk/drive for example micro-plastics, NOx, CO², temperature, wind direction and knots.
Our responsibility, ownership and commitment is looking towards the customers satisfaction by our creativity and involvement
to serve by identifying sources and scores of the flow of air-pollution to reduce our chronical illness potentials of human beings.
Especially for
Ø Our youngest and oldest people
Ø Engaged breathing sportive people like biker or jogger.
Further on for
Ø Pedestrians beside the traffic of vehicles
Ø People living besides the roads
Ø Passengers in each vehicle.
Our AFQ Team is initial sponsored by the worldwide AI Earthlab from Microsoft at Richmond/USA
for further designing and developing the technical tool and the systematical invention.
In view of the need of human health by the air pollution
our AFQ team will find a translation by interaction and
by the demands towards a business environment of the future.
Our people are aligned and engaged
Ø To design AI based air pollution scenarios locally at Berlin besides a famous busline
Ø To require and evaluate relevant air quality data sources in real-time by links from other stakeholders
Ø To improve the performance of relevant data for our clients and their need as our purpose
Ø To create and design the mapping as a tool by a pathfinder-prototype as an app / a platform
Ø To ideate, create and check collaborative models with upcoming stakeholders
Ø To acquire more stakeholders as co-sponsors, co-investors and co-workers perhaps by crowdfunding etc.
Our AFQ team will present its results and experiences at the upcoming Earthlab Conference 2021 by Microsoft at Singapore.
We are happy if people in other cities might follow our mission, adaptability, consistency and involvement further on.
We wish to invite you,
your company, your city, your friends and family as a potential co-partner or/and co-sponsor as soon as possible for your locations in future as well.
https://3er1viui9wo30pkxh1v2nh4w-wpengine.netdna-ssl.com/wp-content/uploads/prod/sites/40/2019/02/12d_ESR03159-Pitch-Team-5.jpg Quelle https://3er1viui9wo30pkxh1v2nh4w-wpengine.netdna-ssl.com/wp-content/uploads/prod/sites/40/2019/02/12d_ESR03159-Pitch-Team-5.jpg
Bericht: https://news.microsoft.com/de-de/features/microsoft-earth-lab/
Initial members of the AFQ Team are
Aaron Günter Lisa Majid Roland Sebastian Stefan
PS: AI* = Artificial Intelligence
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