ABB Explores Shaft Scanning Technology to Expand Hoisting Services in Industrial Automation
- 〡
- 〡 by WUPAMBO
Digital Innovation in Mining Infrastructure
ABB is evaluating shaft scanning technologies to strengthen its hoisting services portfolio. The initiative reflects ABB’s broader strategy to deliver industrial automation solutions that combine PLC, DCS, and advanced control systems. Moreover, the company aims to enhance safety, efficiency, and sustainability in mining operations through digital and AI‑driven inspection tools.
Advancements in Automated Shaft Inspections
At the Shaft Inspections 4.0 event in Johannesburg, ABB joined industry leaders to showcase visual and LiDAR scanning technologies. These systems replace manual inspections with autonomous, drone‑based platforms. As a result, engineers can generate high‑resolution structural models while reducing human exposure to hazardous underground environments. This mirrors factory automation trends where robotics and control systems minimize risk and improve productivity.
Industry Collaboration and Technology Development
Point.Laz presented its Lazaruss 3D scanning system, designed to create repeatable datasets for predictive maintenance. CEO Alex Grenier emphasized that the technology enables engineers to track deformation, fatigue, and water ingress over time. In addition, Dwyka Mining Services highlighted safety improvements, noting that reduced exposure allows skilled personnel to focus on diagnostics and planning. These developments align with industrial automation practices where condition‑based maintenance enhances asset reliability.
ABB’s Strategic Vision for Hoisting Services
John Manuell, Global Business Unit Manager at ABB, confirmed that shaft scanning is a key initiative under review. ABB continues to invest in inspection and automation technologies that support data‑driven decision making. Therefore, the company leverages decades of expertise in hoisting systems and electrification to deliver integrated solutions. In my view, ABB’s focus on predictive analytics and digital platforms demonstrates how industrial automation principles extend into mining infrastructure management.
Application Scenarios and Solutions
-
Mining Hoisting Systems: Safer shaft inspections using LiDAR and drone‑based automation.
-
Industrial Automation: Integration of PLC and DCS platforms for predictive maintenance.
-
Factory Automation: Condition‑based monitoring to reduce downtime and improve asset planning.
-
Safety Management: Reduced human exposure in hazardous underground environments.
-
Data‑Driven Operations: High‑resolution models supporting long‑term infrastructure reliability.










