Predictive Maintenance in Mining Sector

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

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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.

Why should predictive maintenance be your choice?


  1. Predictive maintenance aims to predict the failures beforehand, and determine the ideal time for performing maintenance activities on an asset so as to minimize the maintenance frequency and maximize its reliability without incurring additional costs.
  2. The Internet of Things, with the use of sensors and sophisticated analysis techniques for condition monitoring of equipment sets, are essential for a successful predictive maintenance program.
  3. Predictive maintenance, as opposed to preventative maintenance, identifies a piece of equipment with the potential to cause downtime in the future. This cuts down on the amount of time and money spent on equipment maintenance activities while still preventing unplanned downtime

How mining businesses can benefit from predictive maintenance?


By using an enterprise-level operational data infrastructure mining businesses may be able to



Cut Maintenance Activity time
Boost Equipement Availability
Reduce Maintenance Expenses

Aim





Proactive asset management system collects



Minimize maintenance costs



Improve operational efficiency



Analyzes condition data from all types of mining equipment

What does our Predictive Maintenance Solutions offer?

Operators can utilize our Predictive Maintenance service for mining to get user-friendly real-time dashboards and reports that provide a detailed picture of the state of their assets. Our automated system is able to identify the issues in machines and offer potential root causes so that your team can immediately focus on decision-making for actions.

Nanoprecise provides advance notice of potential faults by combining previously disparate condition data from various assets such as motors, gearboxes, crushers, ball mills, and conveyors to collectively analyze and compare all data. Depending on the asset different fault modes are monitored and characterized to ensure that the notifications and advice provided are relevant and useful.

Stages of predictive maintenance in the Mining Sector


Our predictive maintenance solution follows several stages to developing a comprehensive predictive maintenance approach for the mining sector

Our professionals, in collaboration with site maintenance specialists, assess the specific maintenance requirements during the initial stages of scope definition.
We assess your business goals along with the available technologies and the asset mix along with the criticality.
The online condition monitoring application is deployed by the Nanoprecise team in the next stage.
Finally, our Automated Preventive Maintenance Software analyzes all the data remotely and reports on the results on a regular basis.
Nanoprecise has automated alerts and notifications so that client operations, maintenance, and automation departments are all on the same page and can concentrate on their daily tasks.

What makes our solutions unique?

Here are the key features of the Predictive Maintenance Tools from Nanoprecise


AI and IoT

Our predictive maintenance tools use the combined capabilities of Artificial Intelligence and Industrial Internet of Things to offer an overall accuracy of 99% and forecast the remaining usable life of equipment sets.

Cross-platform scalability

We have got it all covered on your behalf, our solutions come with seamless networking and power options, and can be integrated with leading horizontal and vertical technology stacks, via open APIs. The System can also be deployed in multiple ways, thereby ensuring easy scalability across your operations.

Real-time Information on Machine Health

Dedicated mobile applications and a web portal provide operators with user-friendly data empowers maintenance and reliability professionals with the right data at the right time. It also ensures that you receive notifications and SMS alerts on a regular basis.

Automated End-to-End Solution

Automation that goes beyond data collecting to include automated analysis and connections to other aspects of your digital transformation.

“Plug and Play” Deployment

With a totally wireless deployment and a DIY app for configuration, it is very simple and easy to set up the PdM solution and move or re-deploy sensor hardware

Costs and resources optimization

Spend your time performing maintenance while also enhancing your awareness of potential problems that could result in unplanned downtime.

Why Nanoprecise?

Predictive Maintenance Solution from Nanoprecise combines AI, IoT, and LTE-enabled monitoring, advanced sensors, and prescriptive diagnostics to produce productive outcomes from day one. We employ cutting-edge, scalable technology to monitor equipment health and decrease downtime, which costs the global economy around $100 billion each year.

Nanoprecise employs cutting-edge innovation to provide our clients with accurate prognostic and diagnostic solutions that can predict the remaining usable life of any asset to a 95 % accuracy. Our technologies aid in the construction of 360-degree integrated systems that can predict the remaining useful life of any asset and therefore, minimize your expenses.

Customised to your Industry Needs

Industries

Reducing Downtime in Metal Industry

Our IoT driven Predictive maintenance solution helps to reduce downtime, monitor, collect exchange and analyze data from machines to enhance manufacturing processes of the metal industry.

Scaling Iot in Manufacturing Industry

Machine failure in the mines? No worries.

Our solutions can add immense value to your entire mining supply chain by harnessing the power of Industry 4.0. The asset performance will be optimized, costs and machine downtime can be reduced leading to a boost in ROI.

Predictive Maintenance in Mining Sector

No more unplanned downtime in Cement Industry

Our Industry 4.0 digital solutions can help you tackle the challenges in cement production such as large energy consumption, high costs and complex processes.

Our advanced analytics can simplify complexities and help in real-time decisionmaking. Equipment lifespan and reliability will amplify due to our condition monitoring system.

Predictive Maintenance in Cement Plant

Protect your assets with Zone Approved Solution

Our digitization solutions in industrial equipment maintenance can help oil and gas companies streamline maintenance. Our predictive analytics and conditional data monitoring help anticipate failures, reducing unplanned maintenance and unscheduled downtime.

Predictive Maintenance in Oil & Gas Plant

No more Downtime, Keep your Machines Running in Chemical Plants

Our AI driven analytics can propel your chemical business to new heights of reliability by optimizing asset longevity and impacting top-line growth through proactive identification of upcoming machine failures. IoT driven asset maintenance solutions can provide immense flexibility and agility to production.

Predictive Maintenance in Chemical Plant

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    Frequently Asked Questions

    Predictive Maintenance in the Mining Sector is a proactive approach that can prevent assets from reaching the point of catastrophic and unplanned failure. It uses IIoT hardware that connects physical assets, machines and devices to each other and to applications, thereby offering advanced analytics that help prevent unplanned downtime.

    Predictive Maintenance can significantly boost equipment availability while improving worker safety. It also enables to improve their operational reliability and facilitates improved productivity for the overall operation.

    Predictive Maintenance Services in mining sector employ data science and predictive analytics to analyse the equipment condition and predict when that equipment requires maintenance. Nanoprecise is a Predictive Maintenance Service Provider in the mining sector that helps organizations to detect even small changes in machines before they impact production.

    Predictive Maintenance System in Mining Sector monitors and analyses the data on the health and performance of rotating equipments employed in open case mines, underground mines or milling processes, as well as transformers and heavy earth moving vehicles.

    Predictive Maintenance System in Mining Sector consists of a combination of Hardware and Software. The hardware is installed in the proximity of critical assets, and it senses different parameters to generate a corresponding digital signal. The signal is sent to the software which analyses it to detect faults before it happens, thereby preventing unplanned downtime.