Clean Water IoT

An IoT and AI Enabled remote water resources monitoring application using geospatial mapping, water quality data and Watson Chat-bot Recommendation System

According to the World Health Organization, 2.2 billion people around the world do not have safely managed drinking water services, 4.2 billion people do not have safely managed sanitation services, and 3 billion people lack basic hand washing facilities. These services are critical in preventing the spread of COVID-19 and other diseases. Even in areas that have these services, there are vast inequalities in the accessibility, availability, and quality of the services.

UNICEF is urgently appealing for funding and support to reach more children with basic water, sanitation, and hygiene facilities, especially those children who are cut off from safe water because they live in remote areas, in places where water is untreated or polluted, or because they are without a home, living in a slum or on the street.

Additionally, the growing climate challenge poses a great challenge during our time and thus we need to act in such a way that we can integrate early warning systems. Water is vital in many use cases right from agriculture through irrigation systems to human consumption.

The need for clean water is not only limited to humans but also extends to all living things as a naturally occurring component for life continuity on planet Earth. Water quality monitoring is important for guiding safety management and ensuring public health. With a global estimate of 7 billion dreams, many of whom still lack access to quality drinking water, it’s important to share knowledge and information all around the world to break the vicious cycle of ignorance and water wastage. With expatriate estimates of water project costs, this shall reduce failure of building water safety capacity.

Clean Water IoT integrates

i) Geospatial mapping data

Geographic Information System(GIS) as a modern tool for collecting, storing, managing, applying and analyzing geographic information, can realize effective management of spatial information and other kinds of information. Using the powerful spatial information processing capabilities of GIS, all the inquiry and analysis results can be visualized in the form of map, text, chart and multimedia. Use Cases: Users can monitor nearby water bodies. He/she can check routes to transport water from water rich to water scarce areas.

Ref: Living Atlas of the World | ArcGIS

ii) Water Pollutants data monitoring using IBM IoT platform

We are using IoT sensors which can monitor water quality data and transmit in real-time to the cloud application. Each kind of monitoring data that reflect the water pollution, such as name of the river, monitoring place, monitoring time, solid suspension, dissolved oxygen, temperature, content of phosphorus and mercury and so on. In addition to this, the data of population, geographic name etc. can be added.

iii) Watson Chat-Bot

This will be based on IBM Watson Chat-bot API which can answer basic queries related with water usage conservation, low cost filtration options and cost estimation for water construction projects. Future integration will be speech to text and local language support

Architecture

The need for clean water is not only limited to humans but also extends to all living things as a naturally occurring component for life continuity on planet Earth. Water quality monitoring is important for guiding safety management and ensuring public health. With a global estimate of 7 billion dreams, many of whom still lack access to quality drinking water, it’s important to share knowledge and information all around the world to break the vicious cycle of ignorance and water wastage. With expatriate estimates of water project costs, this shall reduce failure of building water safety capacity.

I Aaron Masuba am an IoT applications developer, Rushi Shah is a Software Engineer and Tejaswini is Biotechnologist.

Data survey through reknowned reserach networks like;

Aquastat Data Analysis

The integration of IBM Watson Assistant API, The IBM IoT Platform, and Sensor fusion to formulate a product solving a local challenge.

To enable the 7 billion dreams have access to safe drinking water in the long run through the one step-at-a-time effort of beginning with a testbed community.

i) Geospatial mapping data

Geographic Information System(GIS) as a modern tool for collecting, storing, managing, applying and analyzing geographic information, can realize effective management of spatial information and other kinds of information. Using the powerful spatial information processing capabilities of GIS, all the inquiry and analysis results can be visualized in the form of map, text, chart and multimedia. Use Cases: Users can monitor nearby water bodies. He/she can check routes to transport water from water rich to water scarce areas.

Ref: Living Atlas of the World | ArcGIS

ii) Water Pollutants data monitoring using IBM IoT platform

We are using IoT sensors which can monitor water quality data and transmit in real-time to the cloud application. Each kind of monitoring data that reflect the water pollution, such as name of the river, monitoring place, monitoring time, solid suspension, dissolved oxygen, temperature, content of phosphorus and mercury and so on. In addition to this, the data of population, geographic name etc. can be added.

iii) Watson Chat-Bot

This will be based on IBM Watson Chat-bot API which can answer basic queries related with water usage conservation, low cost filtration options and cost estimation for water construction projects. Future integration will be speech to text and local language support

Architecture

We do not serve any people yet but look forward to read 10,000 people in the next 1 to 5 years.

Access to finance

Investment opportunities

Infrastructural capacity limitations.

We need about 100,000 USD to roll out the first test bed within the communities marked in our presentation.

At the moment, none but we look forward to partnering with various city stakeholders.

B2B and B2C

Rent to own

NGO settings

UN, UNICEF, UN Habitat projects