The quality of air is becoming a challenge for metropolitans in developing as well as developed countries. Cities like Delhi and Lahore consistently have problems with smog and pollution. Monitoring the pollution is the first step towards tackling the problem.
For this a sustainable data acquisition infrastructure is required. Sustainability is expressed here in terms of robust, low cost equipment with low energy consumption and low, or no bandwidth requirements.. The design choices that will be made must enable the system to perform in harsh (humid, hot, etc.) environments and allow for easy maintenance.
Several low cost sensors (Arduino) and data acquisition platforms (such as the Raspberry Pi series) exist. These low cost components can be used as building blocks of the system. Low-cost data acquisition units can be deployed in large arrays across the city to enable localized air quality measurements. The goal of the project is to develop sustainable data acquisition systems for air pollution monitoring with off-the-shelf available components. This will lead to an infrastructure that can be easily maintained and updated by the local partner once they are well trained to record data.
The recorded data can be used by relevant authorities to plan strategies for smog relief in highly affected areas, such as: targeted planting of flora, targeted choice of speed limits for problematic roads, investment into more sustainable modes of transportation, etc.
Problem owner: Waste Management Company of Lahore (http://www.lwmc.com.pk/).
Problem domain: Internet of things, monitoring, data science, programming.
Is funding possible? Yes, limited funding is available for the technical realization of the project e.g. costs for sensor and hardware purchase.
Duration: At least 6 Months.