Predictive Maintenance in Mining Sector - Nanoprecise
With early predictive maintenance measures, mining companies can improve their maintenance activities by gathering important data on their machine health and performance; this leads to reduced operational costs and increased productivity of the overall mining operations
What is Predictive Maintenance in Mining Sector
Waiting until a vital mining asset has broken down to fix it is no longer a prudent, strategic, or economically wise decision if you want to be ready for the next age of industrial innovation
Equipment breakdowns can be costly on several levels –
- Downtime reduces output
- Late-stage failures can be more costly to repair
- In some cases, the asset has to be written off, and there are also wasted labour & energy costs
- Unexpected equipment breakdowns can also affect worker safety.
Nanoprecise’s predictive maintenance solutions work towards achieving productive results from day one with a combination of AI + IoT + LTE driven seamless monitoring, advanced sensors, and prescriptive diagnostics.
We implement state of the art scalable technology to monitor the equipment health to eliminate unplanned downtime that costs around 100 Bn. $ per year on the Global Economy.
Why Nanoprecise
Asset breakdowns happen without a warning and the challenge is to spot the signs early enough to schedule repairs. Our Automated AI based predictive maintenance solutions offer that insight and our primary focus is early detection of even small changes in machine operations well before they impact production or cause downtime.
https://www.linkedin.com/company/nanoprecise-sci-corp/mycompany/
Asia, India
Nanoprecise Data Services Pvt. Ltd.
IndiQube- Edge Service Centre
Khatha No. 571/630/6/4,
(Sy No.6/4), Ambalipura Village,
Outer Ring Road, Varthur Hobli,
Bangalore-560103

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