Efficiency, accuracy, security, and reliability are the core aspects of mining. With every technological advancement, the mining industry comes to a better place. For instance, with LiDAR scanning, various limitations have been eliminated, such as higher costs and time-consuming workflow.

However, companies can still push the boundaries and open up new ways of automation and optimisation by collaborating with other technologies. In this blog, we will discuss the top 5 ways to increase laser scanning adoption in the mining sector:

Merging Data Science and Scanning

Over time, the cost and efficiency of 3D scanners have improved significantly. However, the precise and accurate data results in large files that take time to combine and process. Parallelization is the most effective solution for eliminating the laborious processing tasks, where machine learning and AI run simultaneously with scanning. Combining technologies like multistage and vector processing enables processing the data at the same time while scanning.

Befriend the Cloud 

As discussed above, parallelization can cut time, cost, and labour. Similarly, cloud technology can help store large data in an optimized and organized manner without any bars to memory and CPU power. Not only this, but it also helps in better collaboration. Cloud enables centralizing the data access to one single source. This allows all the stakeholders to stay on the same page. This reduces the chances of data loss because all the updates and changes are done in one place. 

Access the Inaccessible with Drones

Apart from being a laborious task, obtaining mining data can be extremely dangerous, especially while exploring the rough and inaccessible areas. At these times, deploying drones can be a wise decision. Drones can help in aerial surveying and mapping without the need for piloted planes and risking human lives. In fact, it reduces the cost by 90% and improves efficiency up to 30 times. Drones enable 3D models of terrains and inventory that make tracking the stockpile movements easier. In addition to this, it helps in monitoring road conditions. 

SLAM and Robotics Can be Your Saviors

Simultaneous Localisation and Mapping is a computational method that creates a map of an unknown environment. While certain areas have more potential hazards than others, there are underground terrains where there is no certainty. At these times, SLAM and robotics can be safer and reliable technologies. SLAM enables transitions from AGV to AMR that opens doors for new ways of using robotics in mining. Robots can also help in discovering how much fill is required.

Plan Focused Investment

The advancement in technology such as drones, AI, machine learning, and robotics is uneven. Therefore, a focused roadmap will help allocate the resources effectively. The three key points to focus on are safety, smart work, and fast work.

Mapping alone can be hazardous. So, investing in robots and drones can be the best option for point cloud and processing without having anyone near the site.

To cut costs and improve the quality of work, companies should focus on combining technologies and running drone operations.

If a company wants to speed up its processing, it should consider replacing the traditional methods and adopt newer ways like parallelization.

Concluding thoughts

Automation and data connectivity is the future of mining. Technologies, such as point cloud, machine learning, and cloud computing are opening doors to new ways that were thought to be impossible. It becomes essential for companies to experiment and adopt new technology to stay with the time.