Typically, mine operators rely on multiple legacy servers to store and analyse multiple data sets. Meanwhile, data from other less integral edge assets lie uncollected or rely on infrequent manual collections, which often gets lost on spreadsheets and is not integrated with other data. This makes cross-referencing tricky and creating an overview of all the different data inputs and how they relate to each other is time-consuming, expensive and challenging. This secure industrial IoT solution integrates and connects edge-asset data with core-asset data and it displays all of these multiple data sets on a single dashboard to highlight where improvements can be made. It doesn’t rely on an existing communications infrastructure. It can use cellular or WiFi connections and is powered by the mains, battery or solar, meaning it can be deployed in remote locations often where other similar devices wouldn’t be effective. This tool makes all of your real-time data available anytime, anywhere, without having to install any further infrastructure. Established mines often have lots of legacy hardware systems that require upgrading. This solution avoids the need for expensiveupgrades. It needn’t replace existing server infrastructure, it can complementand enhance it. In the case of a new remote mine, this cloud-based solution ensures that you don’t need to install a whole data system running off several servers, leading to a huge reduction in construction costs. Ultimately, this solution makes a mine more efficient by using data to highlight areas of a mine that can be further optimised. It reduces running costs by pinpointing where fuel, staff and other resources can be cut and it’s instrumental in reducing a mine’s carbon footprint.

Typically, mines work with multiple data sets collected by multiple legacy servers that are analysed via multiple dashboards. Meanwhile, data from other less integral edge assets lie uncollected or rely on infrequent manual collections, which often gets lost on spreadsheets and is not integrated with other data. Monitoring and collecting data from these entrenched systems also frequently involves sending engineers to remote locations, a costly and lengthy process. This also makes it easy to miss serious issues. If an overflow into a local river is only monitored manually once a week, for example, but a pollutant is inadvertently released into it the day after the check, that environmental blunder will likely not get picked up for another six days, in which time huge environmental damage can be done. This mix of automated, manual and uncoordinated data collection makes cross-referencing tricky and creating an overview of all the different data inputs and how they relate to each other is also time-consuming, expensive and challenging. This IoT solution brings all of your data sets into one place viewable on a single dashboard at any time from anywhere. Cost effective and easy to deploy, it is suited to long-term and short-term monitoring projects and helps to optimise your entire mining operation.

Quick and easy to deploy, this compact secure IoT real-time monitoring solution gathers data from across a mine and its data-gathering sensors can even be attached to less integral edge assets. It collates all of its data together in a central repository and integrates all the data points on a single screen, allowing you to control and monitor your mine without being in situ. It has its own proprietary software but can also be integrated into existing dashboard and data repository systems. Consequently, it cuts the numbers of staff required on site and reduces monitoring field trips across the operation. Following login, the user is presented with a list of assets and tools based on their login credentials. Users can access detailed real-time and historical data, on their PC or mobile devices, which they can use to depict visible trends and receive configurable alerts. Dozens of oil and gas operators across the world are already reporting huge benefits following deployment of this system and it is now being adopted by the mining industry for long and short-term monitoring projects. Attracted by the solution’s portability and suitability for remote deployment, a mine in Arizona, for example, used this tool to control and monitor pumps used as part of its water management process. This solution uses data to optimise a mine’s processes and make it significantly more efficient. It reduces running costs by pinpointing where fuel, staff and other resources can be cut and it’s instrumental in cutting a mine’s carbon footprint.