SIGN UP

Mining and Energy Resourses

The whole process of mining is extremely complicated and involves many types of equipment, technology, and science (IT, engineering and geology). Moreover, companies need to ensure the safety of miners and proactively manage compliance. Data analytics helps improve processes and reduce operational costs and losses. Energy efficiency can help to curtail production of energy to meet growth in demand.This in turn can help to reduce CO2 emissions. To achieve this goal we need to understand and improve the energy efficiency at both producer and consumer ends. ICT enabled smart energy grids and devices are being installed globally to measure energy consumption and improve energy efficiency. These smart devices produce large volumes of data. The data generated by different devices is in different formats. For the purpose of knowledge discovery, this data needs to be collected, stored and analysed. The extracted insights from the analysis need to be visualised for easy and effective understanding. The challenge gets even tougher when data needs to be collected and analysed in real time. Then with the time, volume of data and scope of analysis is expected to increase. In order to respond to the above mentioned challenges, a highly scalable and flexible data analysis platform is required that can automate the whole process. This platform needs to be very cost effective for global adaptation.

Sample Architecture


Cinque Terre

Improve Efficiency
With automated and agile processes at the operations level, ore extraction, processing, separating, and concentrating the best components is faster

Improve Logistics
Transportation is core to the mining industry, and automating the process can greatly benefit it. Data analytics can help identify areas of inefficiency and areas for improvement

Smart Collaboration
A single source of data across the organization improves collaboration between various departments that build newer collaboration models with OEMs, operators, and service providers, for monitoring via cloud or networks

Safety and Security
By capturing operational, people, and sensor data, Big Data analytics provides actionable insights based on real-time monitoring of people in mines (location, heart rate, temperature), environment (gas concentration, CO, coal dust, wind speed) and equipment (power, operating pressure, speed). The analysis can help identify risks such as a tunnel collapse or incidents of near misses, thus ensuring safer mining operations

Smarter Procurement
A data-driven system makes it easier to manage and monitor current and future needs of spares and services, and optimizes inventory of spare parts. Big Data makes price negotiations and spend analytics speedy and efficient while reducing overall procurement costs

Real Cost Drivers
BI helps identify the areas that are real cost drivers, enabling faster decision-making and improved performance