Accenture Global Solutions Limited

Urvi Suresh Shah

Bhushan Gurmukhdas Jagyasi

Bolaka Mukherjee

Pallavi S Gawade

Ramaa Gopal Varma Vegesna

Nasiruddin Mohammad

Abhijeet Chowdhary

Abhishek Kumar Jaiswal

Akash Manikrao Jadhav

A method for predicting conditions associated with a coal stock pile is described. The method includes collecting aerial data for a site including one or more coal stock piles. Using the aerial data, the method includes performing localization of the site to identify boundaries of the coal stock piles and extracting multi-spectral features. The method also includes obtaining additional data associated with the coal stock piles from at least one data source and merging the aerial data with the additional data. Using the merged data and the extracted multi-spectral features, the method includes analyzing a status of the coal stock piles by a prediction module to predict at least one of an impending combustion event or a severe condition associated with the coal stock piles. In response to the predicted at least one impending combustion event or severe condition, the method includes implementing a response.

Method and system for prediction and mitigation of spontaneous combustion in coal stock piles

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Thane West, India

Urvi Suresh Shah