Precise Early Warning to Prevent Problems Before They Grow: The Zhongyun Technology Intelligent Operations and Maintenance Platform Successfully Detected a Fault Caused by Poor Lubrication of the Conveyor Belt Machine’s Motor Bearings.

Recently, on the production line of a major cement enterprise, abnormal fluctuations were detected in the vibration data of a critical belt conveyor during operation. Relying on continuous monitoring and trend analysis, the Zhongyun Technology Intelligent Operations and Maintenance Platform accurately identified an early fault caused by inadequate lubrication at the motor drive end bearing, and promptly guided the company to quickly perform supplemental lubrication. This successfully averted potential bearing wear risks in their infancy, ensuring the continuous and stable conveyance of materials.

1. Real‑time Monitoring: Capturing Early Signals of Slowly Rising Acceleration

On November 18, 2025, the platform detected that the vibration acceleration at the motor drive end of the conveyor had slowly increased from 1.5 m/s² to 5 m/s², triggering a trend threshold alarm. The platform automatically pushed alert information to the operations and maintenance team, clearly indicating the alarmed equipment, its affiliated department, the alarm level, as well as the initial and latest alarm times. This enabled early detection of latent faults and provided the operations and maintenance team with clear, timely risk guidance and actionable recommendations for mitigation.

2. Precise Data Diagnosis to Pinpoint the Root Cause of Failures

After receiving the alert, the Zhongyun Diagnostics team conducted an in-depth analysis of the vibration data in conjunction with the equipment’s operating speed. Based on the operational structure of the belt conveyor, they initially determined that the bearing at the motor drive end was experiencing inadequate lubrication and recommended promptly shutting down the machine to replenish the lubricant.

3. Closed-Loop Handling: Rapid Verification from Early Warning to Refueling

1. Planned Shutdown and On-Site Verification

Based on the platform’s early warning, the company scheduled a planned shutdown for inspection on the morning of November 19, during which it was confirmed that the lubrication condition of the motor drive-end bearing was poor.

2. Immediate Oil Refilling and Effect Verification

That afternoon, the operations and maintenance personnel performed supplemental lubrication on the motor drive-end bearing. After the equipment was restarted, monitoring data showed that the vibration acceleration value had dropped significantly and stabilized below 2 m/s², with the equipment operating smoothly once again and the potential hazard completely eliminated.

4. Core Platform Value: Tailored to Meet the Needs of the Chemical Industry

This case of addressing a failure caused by inadequate lubrication of the conveyor belt motor bearings vividly demonstrates the three core values of the Wuhan Zhongyun Kangchong Intelligent Operations and Maintenance Monitoring Platform:

1. Break the limitations of routine inspections: Replace manual, periodic inspections with 24-hour real‑time monitoring to precisely detect early, latent faults and achieve “early fault detection.”

2. Reduce O&M Costs: By leveraging data‑driven, precise diagnostics, we can avoid unnecessary disassembly and repairs, minimize component wear and tear, extend equipment lifespan, and achieve “low‑cost maintenance.”

3. Upgrade Management Models: By implementing a closed-loop process of “Early Warning – Diagnosis – Response – Verification,” we help enterprises shift from “reactive maintenance” to “predictive maintenance” and accelerate the digital transformation of equipment management in the cement industry.

In the future, Zhongyun Technology will continue to iterate its AI diagnostic algorithms and sensor technologies, providing industrial enterprises with end-to-end intelligent operations and maintenance solutions that deliver “precise early warnings, efficient response, and stable assurance,” thereby helping the industry achieve digitalization in equipment management and intelligent decision‑making in operations and maintenance.