The nature of mining means that work is done outside or underground in dynamic, unpredictable, or potentially dangerous environments. IoT can be used to create a more stable site, improving safety and efficiency for both workers and machinery.

Benefits of IoT in the Mining Industry

The operations of many mining companies span from the extraction site to point of export (pit-to-port). Machines can range from simple to complex and mining sites often have a mix of workers who either spend time underground or are located in an office-setting. Furthermore, no two sites or projects are the same, which can lead to challenges in systematizing and streamlining operations.

Worksite productivity, including equipment reliability and supply-chain processes, can be improved through the use of IoT.

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Operations optimization

Streamlining process across often disjointed worksites, specifically focusing on activities that are currently tracked manually.

By introducing real-time data capture, operators can quickly see information that was previously only available sporadically (i.e., the number of vehicles in operation), allowing them to focus on improving project management and output. One applicable example is investing in autonomous vehicles whereby one specialist can monitor many vehicles, rather than having a specific driver for each vehicle.

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Improved equipment maintenance

Often the end-user is relying on the manufacturer’s specifications to dictate an appropriate maintenance schedule.

Using a condition-based maintenance approach in conjunction with real-time monitoring can reduce machine costs by addressing problems immediately. Specific machine performance is compared against a global database of machine components to detect abnormalities and alert the operators.

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Health and safety

Sensors and tags that are affixed to workers can reduce worksite accidents and injuries.

Sensors can tell if a worker gets too close to a piece of dangerous equipment, thus triggering the shut-off mechanism. Sensors can also alert workers and site managers of potential exposure to hazardous chemicals.

Here’s how it works

Buddy’s IoT Data Graph is a cloud-based data collection and processing exchange that securely stores, manages, streams, processes and translates raw device data for delivery to the world’s most popular business systems. Now you can capture key remote intelligence and stream it in real time, at high velocity and in high volume.


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Just a few lines of code connects devices to Buddy Platform, no heavy agents or proprietary silicon requirements necessary. This model allows any connected device to send data to Buddy, helping to gain intelligence from sensors already deployed, and ones that soon will be.

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Buddy can translate raw data into seamless connections to gain valuable insight through actionable business and customer intelligence. This includes functionality for custom analysis in the cloud, and two way communication between devices, or from your business systems back to the devices themselves.

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Once data is normalized with Buddy, it can be sent to a wide variety of business systems for rich visualization, connecting to machine to machine systems, or deep analysis with big data systems like Hadoop. Easily integrate data into everything from Splunk, Salesforce, Microsoft Dynamics, ZenDesk, Tableau and beyond.