GoI, Intel join hands for air and river water quality monitoring systems

Q.  Indian government and which US multinational have joined hands for real time air and river water quality monitoring?KV
- Published on 09 Dec 16

a. Microsoft
b. IBM
c. Apple
d. Intel

ANSWER: Intel
 
GoI, Intel join hands for air and river water quality monitoring systemsThe Indian government and the US multinational technology company, Intel, on Dec 8th 2016 inked a partnership for development of state-of-art solutions for real-time air and river water quality monitoring.

Aim of this initiative of the department of science and technology (DST) and the Intel is to develop key technologies for sensing, communication and analysis of large-scale data collected from autonomous networks.

This will be followed by integration and deployment for water and air quality monitoring in real-time.

Under the joint initiative, proposals from academic and research institutions are invited on developing online 'Water and Air Quality Monitoring' (WAQM) systems.

The selected submissions will be provided grant-in-aid support. An amount of INR 33 crore has been set aside for the project.

The programme will be administered by the Indo-US Science and Technology Forum (IUSSTF).

This will eventually lead to development and deployment of low-cost, low-power, autonomous wireless sensor networks to provide a fine-grained view of several critical water and air quality metrics over large geographic areas (cities, rivers and watersheds).

The programme is very critical for the restoration, conservation and preservation of the environment.

These online sensor networks for river water and air quality monitoring will provide the pre-remedial quality status.

It is expected that the real time data will significantly strengthen and complement the missions of national priority like Namami Gange Programme and others by serving as critical data feeders for pre and post treatment analysis.

New iOT Network for monitoring air and river water
  • Internet of Things (IoT)-based solution will require innovations in sensor technology for miniaturised platforms.
  • Blocks will need to be woven together by a data analytics framework.
This spans edge devices, gateways and cloud-based analytics, to enable inferencing and sense-making in a low-latency manner.

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