Due to the harsh conditions and remote operation locations, it is difficult to deploy IoT technologies in the metal and mining industry. IoT solutions that can operate in harsh locations, like underground mines, processing and metallurgical plants, are in demand. Also, the sector produces a lot of data, and effective data management is essential for the implementation of IoT to be successful. IoT systems must be developed to solve the security and privacy challenges the industry faces as well. Addressing these difficulties calls for creative approaches that can use IoT's capability to raise productivity, safety, and sustainability standards in the mining and metals sector.
Solution Overview
With the number of networked sensors increasing across production, supply chains and products, Tech Mahindra is enabling the mine owners and plant owners to tap into a new generation of systems that enables real-time, automatic interactions among machines, systems, assets, and things.More
With the number of networked sensors increasing across production, supply chains and products, Tech Mahindra is enabling the mine owners and plant owners to tap into a new generation of systems that enables real-time, automatic interactions among machines, systems, assets, and things. We empower mine owners as well as OEMs to collect real-time data to adjust preventative maintenance schedules, enable faster response time, bring in pit-to-market SCM traceability, understand, monitor, predict and control process variability, and enhance equipment and process diagnostics capabilities.
Less
Industry Challenge
Solution highlights
Digital Twin and digital thread for machines to machine connectivity
Factory stimulator
Process fleet manager
Worker safety monitoring
Defect detection and quality prediction
Digital dashboard for real-time operation monitoring and control
Solution Benefits
End-to-end visibility across operations
Understand, monitor, predict and control process variables
Enhance equipment and process diagnostic capabilities
Faster response time and less operation cost
Real time monitoring of performance
Improvement in predictive maintenance