MACHINE LEARNING AND AI FOR MINING AND TUNNELING
Successful implementations have the right combination of Mining Knowledge and Machine Learning Algorithms
Digital Transformation in industries such as Mining, Tunneling, Oil & Gas, and Construction has led to companies sitting on petabytes of data. This comes in the form of GeoSpatial data, Production, IIoT sensors such as vibration, water and gas monitors, material inventory and ore grade, drone footage, blends, inventory, safety, and a plethora of other data points that are captured on a day-to-day basis.
In these industries, even small improvements in yields, speed, and efficiency make extraordinary impacts on revenue and profitability. And with the huge volumes of data generated by these firms, incorporating Machine Learning and Artificial Intelligence to optimize production workflows, operation efficiency and not to mention workplace safety is vital.
Our customers recognize that Machine Learning is not statistics. While Machine Learning uses a few statistical methods, it has the ability to find relationships in these large data sets. Machine learning helps firms process data and track information in ways that they otherwise would not get by normal statistical processing.
Firms also need to realize that generic machine learning techniques need to be applied along with industry-specific knowledge. Otherwise, correlations get misinterpreted causation. It takes domain experts to interpret data and make recommendations. GroundHog has the specific domain expertise to separate out correlation from causation.
Machine Learning and AI-based technologies aid companies to make more accurate decisions faster, improve health and safety, boost efficiency and ensure human errors are almost negligible.
Predective Maintenance and Analytics
Maintenance costs and unexpected breakdowns can affect your overall productivity and operational efficiency severely.
Our predictive maintenance and analytics programs help monitor your equipment’s present situation to better anticipate when maintenance should take place. Compared to time-based maintenance programs, this methodology saves you time and money, since maintenance is performed only when required but before unplanned breakdowns can happen. Advantages Include
- Reduced maintenance downtime
- Reduced production outages due to maintenance
- Reduced cost of spare parts and supplies
Throughput and tonnage. The analytics application enables mine operators to monitor throughput, efficiency, and tonnage, viewing the root cause of lower yields and throughput on a near real-time basis.
On-Time supply. Our system enables the client’s procurement team to monitor and improve the availability of supplies reflected by the OTIF (on-time in full) metric, with an ability to predict parts availability in advance, to reduce unplanned downtimes, thereby increasing production.
Intelligent Scheduling from GroundHog provides flexible, configurable workforce management software that helps you capitalize on the revenue opportunities you’ve missed in the past.
Together with sophisticated optimization skills, our dispatching and scheduling feature support organizations streamline and improve field service, cut expenses, and tap into service-related revenue opportunities quickly.