Climate Watch

Develop an app or platform to crowd-source information for comparing changes in environmental factors, such as temperature, relative humidity, air pollution, with occurrence of symptoms of allergies and respiratory diseases. Create tools for public entry and grading of symptoms, including but not limited to cough, shortness of breath, wheezing, sneezing, nasal obstruction, itchy eyes; and geographic mapping of symptom frequency and intensity. Create a platform for comparison of symptom map with NASA provided data, with visualization options for web and/or smart phone.

Climate Watch showcases the potential to keep track of environmental conditions and their impact in real time by developing and using an open multi-channel platform. The platform lets users view and contribute real time and historical data related to environmental conditions for the area and period that they are interested in, as well as analyse, correlate and use data to tell their stories and connect with each other. The project was designed and implemented using resources from and aiming to be useful to multiple stakeholders, such as Citizens, Public Authorities, NGOs / CSOs, and Scientific Organizations.

The platform has been collaboratively designed, built and integrated by an interdisciplinary team with a holistic approach based on open data, standards, software and hardware, enabling automated wide scale and low cost environmental data collection in real time.Open data from public bodies such as the European Environmental Agency have been processed and integrated.

Low cost DIY ground and aerial stations utilizing open hardware to collect environmental data have been designed, implemented and integrated.

A mobile app has been developed that lets users report health-related symptoms in real time, enabling them to correlate symptoms with past and present environmental conditions. The app can also be used to enable wide scale anonymized data collection from users, utilizing built-in mobile phone sensors in the background without having to purchase equipment or actively engage in the process.

• Station (Total weight : ~+88 gr)
  
  • 2 x esp8266 nodemcu wifi development board
  • Battery : 25 gr , LiPo 3,7 1200mAh
  • 5V Stepper motor for descending balloon with equipped sensor
  • OPTICAL DUST SENSOR - GP2Y1010AU0F, 20 gr
  • HUMIDITY and TEMPERATURE SENSOR RHT03/DHT22
  • Carbon Monoxide Sensor - MQ-7
  • BMP180 Barometric Pressure Sensor Hookup
  • Balloons
  • Fishing Line
  • Helium Tank
• User client
  
  • Android Platform
  • Android Studio
  • Sensors from Android Devices
• Data platform
  • Node.js
  • MongoDB
  • leaflet.js
  • Semantic Sensor Network Ontology
  • geoJSON
  • openCSV
  • Jackson
  • OpenStreeMap
  • Data: European Environmental Agency Airbase