​​

Automated Tramp Metal Detection and Crusher Optimization

Theme: Asset Optimization & Predictive maintenance

Expected Pilot Duration - 3 Months

Apply Now

Challenge Summary

An automated detection and inspection system is required to prevent production disruptions and damages to the primary crusher caused by tramp metal and foreign objects in the mined ore, ensuring smooth operations and avoiding unplanned stoppages and downtime.

Challenge Scenario

The primary challenges arise from the presence of tramp metal and foreign objects in the mined ore, leading to disruptions and downtime for the primary crusher. Tramp metal originates from old underground workings, while metal and foreign objects from the mining process, such as drill bits and excavator teeth, pose significant concerns.

Regarding the ore flow process, ore is trucked from the open pit and deposited on various ore stockpiles. Subsequently, the ore is loaded onto trucks and tipped at the primary jar crusher tip grizzly. The undersize material passes through the grizzly, while the oversize material is broken by a mobile rock breaker to pass through the grizzly screen into the rock box. The ore is drawn from the rock box by an apron feeder, discharging onto a vibrating grizzly screen. The undersize bypasses the jaw crusher, reporting to the sacrificial conveyor below it, while the oversize is fed to the jaw crusher and crushed down to less than 150mm, combining with the vibrating grizzly undersize on the sacrificial conveyor. The sacrificial conveyor feeds the stockpile feed conveyor. A belt magnet at the discharge end of the sacrificial conveyor removes metal, and a metal detector is installed over the stockpile feed conveyor. If metal is detected on the stockpile feed conveyor, the belt is stopped, and the metal is manually removed before restarting the belt.

The primary challenges arise from the presence of tramp metal and foreign objects in the mined ore, leading to disruptions and downtime for the primary crusher. Tramp metal originates from old underground workings, while metal and foreign objects from the mining process, such as drill bits and excavator teeth, pose significant concerns.

Addressing these challenges is crucial for smooth and uninterrupted operation, ensuring optimal productivity and efficiency. Detecting and removing foreign objects and tramp metal before they enter the crushing stream is essential to minimize downtime and optimize the performance of the primary crusher in the ore mining process.

Profile of the end users

Field Operators (In-pit and ROM)

These end-users work in the field and are responsible for validating and ensuring the accuracy of field operations.

Control Room Operators (Mining and Plant)

Operators initiate necessary stop actions on the crusher when required, based on received information and alerts.

Production Superintendent

Overseeing the entire process, the Production Superintendent ensures smooth operations and efficient production, playing a supervisory role in managing overall production activities.

Plant Engineers

Informed about the process and triggered alerts, Plant Engineers monitor and analyze operations, addressing issues promptly. Their expertise identifies potential improvements and optimizes the plant's performance.

Solution Requirements

The goal is to decrease unplanned crusher shutdowns from 5 to 3 per year (40% reduction) resulting from large pieces of tramp metal (>150mm) reporting to and damaging the crusher.

Improve crusher run time by 20% by preventing (detect and remove) large foreign objects entering the ore stream causing blockages to the apron feeder, vibrating grizzly and jaw crusher.

HTramp Metal Detection: The solution should include a robust tramp metal detection system capable of accurately identifying and alerting the presence of tramp metal in real-time either within the ore stockpiles or whilst loading the truck or within the bowl of the dump truck to prevent the truck from tipping contaminated ore onto the static grizzly. It should provide timely notifications to operators to prevent tramp metal from entering the crusher and causing disruptions.

Digital Monitoring and Analysis:The solution should incorporate digital monitoring capabilities to track and analyze the occurrences of tramp metal incidents and crusher shutdowns. It should enable data collection, storage, and analysis to identify patterns, trends, and potential areas for improvement.

Tramp Metal Management Process: The solution should include an improved tramp metal management process that encompasses effective procedures for identifying, removing, and preventing tramp metal from entering the crusher system. It should provide guidelines for regular inspections, maintenance, and training of personnel involved in managing tramp metal incidents.

Alarm and Alert System: The solution should have an alarm and alert system that promptly notifies operators when tramp metal is detected or when extended crusher shutdown events are likely to occur. This will enable operators to take immediate action, such as halting the crusher operation, conducting inspections, and implementing necessary measures to minimize downtime.

Robust Mining-Ready System: Develop a resilient system capable of operating effectively in challenging mining conditions, ensuring reliability and durability to withstand harsh environments.

Seamless Plant Integration: Facilitate seamless integration with the existing plant configuration during installation, minimizing disruptions and ensuring smooth incorporation into the milling circuit.

User-Friendly Interface: Design a user-friendly interface for operators, prioritizing ease of use and simplicity in system operation. The intuitive interface should empower operators to navigate the system effortlessly and access critical data with clarity.

Expected Outcomes

1. Operational KPIs/Metrics:
Baseline KPI
(Unit of Measurement)
Baseline #
(Baseline Period)
Target
(Expected)
Expected Timeline to achieve 100% Target
Number of Crusher Shuts due to Tramp Metal (#) 5 3 3 months
2. Qualified Outcomes :
Current State Target State
Stoppage based on manual triggers Automated warning system for stoppages

Join our Accelerator Program

Apply Now

​​