Belt Joint Rupture and Conveyor Belt Damages in Iron Ore Mining Industry: Intelligent Monitoring and Prediction of Conveyor Belt Joint Rupture and Damages in Iron Ore Mining Industry.

Background: In the iron ore mining industry, conveyor belt systems are the backbone of material transportation, enabling continuous movement of iron ore from mining faces to crushing, screening, stockyard, and dispatch areas. One of the major operational challenges is conveyor belt joint rupture and belt damage, as belt joints are highly vulnerable to failure due to excessive tension,misalignment, wear, overloading, and maintenance deficiencies. Unexpected belt failures can cause production downtime, safety risks, high maintenance costs, delays in ore transportation, and damage to associated equipment.Traditional maintenance practices are mostly reactive or schedule based, which often fail to detect early-stage degradation of conveyor belts and joints. As mining operations increasingly move toward Industry 4.0 and smart mining, there is a growing need for intelligent, real-time, predictive systems that can proactively identify belt health deterioration and prevent catastrophic failures. Detailed Description: Conveyor belt joints in iron ore mines are continuously exposed to heavy loads, high tension, dust, moisture, and frequent start-stop operations. These harsh working conditions gradually damage the belt joints and conveyor belt through cracks, wear, edge damage, rubber weakening, and splice failure. If these issues are not detected early, they can lead to sudden belt rupture and major operational breakdowns. Mostly inspections are done manually and only at fixed intervals, making it difficult to identify early signs of failure. In normal practices, maintenance is mostly reactive, meaning repairs are performed only after visible damage or breakdown occurs. This results in unexpected shutdowns, emergency repairs, and increased maintenance costs. The major impacts on mining operations are as below: • Production- Loss of ore transportation capacity • Maintenance- Increased repair and spare cost • Safety- Risk of accidents during belt rupture • Energy- Higher power consumption due to misalignment & friction • Asset Life- Reduced conveyor and pulley lifespan • Sustainability- Material spillage and wastage Therefore, belt joint rupture and conveyor belt damage remain major operational and financial challenges in iron ore mining industries. Conventional maintenance approaches are insufficient for ensuring high conveyor reliability in modern mining operations. Expected Solution: To develop an Intelligent Conveyor Belt Health Monitoring and Predictive Maintenance System using digitalization, IoT, AI, and machine learning technologies to detect early signs of belt joint deterioration and damages. The proposed digitalized system architecture may include the following: 1. IoT-Based Sensor Integration for real-time monitoring using vibration, temperature, belt tracking, acoustic, load, speed, and tension sensors. 2. AI-Based Vision Monitoring using smart cameras and thermal imaging systems to detect cracks, tears, overheating, misalignment, and abnormal belt conditions. 3. Drone and Camera-Based Inspection Systems. 4. Digital Twin of Conveyor System to simulate conveyor operations, monitor equipment health, and analyse behaviour in real time. 5. Integration with Existing SCADA, PLC, and other pre-existed Conveyor Monitoring Systems. 6. AI/ML-Based Predictive Analytics 7. Others The proposed solution aims to reduce unplanned downtime, improve safety, minimize maintenance costs, and enhance conveyor reliability and operational efficiency in iron ore mining industries.