Bharat in Betastartup field guide
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No. 1241Problem statementManufacturing and materials

Belt Joint Rupture and Conveyor Belt Damages in Iron Ore Mining Industry: Intelligent Monitoring and Prediction of Conveyor Belt Joint Rupture and Damages in Iron Ore Mining Industry.

Source

Source summary

The source asks for conveyor-belt condition monitoring and predictive maintenance in iron-ore mining, particularly early deterioration of joints and belt damage. Proposed digital, IoT and AI/ML methods should identify developing failures before unplanned stoppages. Sensor measurements, camera or thermal inspection, drones and a digital twin are possible architecture elements, alongside integration with existing SCADA, PLC and conveyor-monitoring systems.

No. 153ProposalManufacturing and materials

AI Manufacturing and Robotics

Use AI for factory automation, predictive maintenance, and supply-chain logistics.

No. 723Problem statementManufacturing and materials

Autonomous Robotic fettling equipment for intricate and complex castings using Robotics and non-contact vision measurement systems

Develop autonomous robotic fettling equipment for intricate castings using non-contact vision measurement. The source identifies low productivity, dependence on worker skill, inconsistent quality and unsafe conditions in current manual finishing. The equipment must accommodate different complex casting geometries.

No. 724Problem statementManufacturing and materials

Tracking of location of tools gauges in Aircraft Industry

Track loose tools and gauges used during aircraft assembly so misplaced items can be found inside congested equipment bays. The source describes the risk of foreign-object damage when an aircraft subsequently manoeuvres or flies inverted. It does not prescribe a particular tracking technology.