Zhongyun Technology's Intelligent Operations and Maintenance Monitoring Platform empowers a chemical enterprise—successfully addressing a chlorine compressor failure and ensuring continuous production.
Release time:2025-11-13
Recently, a chemical enterprise leveraged the intelligent monitoring platform provided by Wuhan Zhongyun Kangchong Technology Co., Ltd. (hereafter referred to as "Zhongyun Technology") to accurately predict and efficiently resolve a bearing wear failure at the drive end of the chlorine compressor's main motor. By promptly applying on-site lubrication, the issue was swiftly addressed without disrupting production—demonstrating clearly the platform's critical value in predictive maintenance for equipment in the chemical industry.
1. Real-time monitoring and early warning: Capturing gradual anomalies
As a critical piece of equipment in chemical production, the stable operation of the chlorinator's main motor directly ensures the continuity of the production process. Traditional manual inspections often struggle to track subtle, progressive changes—such as bearing wear or oil shortages—in real time. However, Wuhan Zhongyun Kangchong’s intelligent operations and maintenance monitoring platform addresses this challenge by deploying high-precision sensors at key points of the equipment, enabling 24-hour uninterrupted data collection and dynamic analysis.
In October 2025, the platform detected a significant abnormal trend in equipment vibration data: the vertical-direction acceleration at the motor drive end steadily increased from 10 m/s² to 40 m/s², triggering a threshold alert on the platform. The system simultaneously pushed out the alert information, clearly indicating the affected equipment, the specific monitoring point, the alert level, as well as the initial and latest times when the alert was triggered—providing the operations and maintenance team with clear guidance on potential risks.

II. Precise Data Diagnosis to Pinpoint the Root Cause of the Fault
After receiving the alert, the Zhongyun Technology diagnostic team conducted an in-depth analysis of the vibration data from the motor drive end: Through spectrum analysis, they precisely identified the root cause of the fault as "wear on the motor drive-end bearing."
Diagnostic conclusion: The motor-driven end bearing shows significant wear, and the equipment is operating in a warning state.
Maintenance recommendations: Closely monitor bearing noise and changes in vibration levels; after equipment shutdown, promptly replenish lubrication as needed.
3. Implement closed-loop management to swiftly address and mitigate risks.
The platform features a closed-loop, end-to-end process of "early warning - diagnosis - handling - verification," perfectly aligning with the core needs of chemical enterprises for "efficient fault resolution and uninterrupted production," thereby ensuring rapid troubleshooting.
1. Promptly shut down and address issues with precise strategies
Following the diagnostic recommendations, the factory scheduled equipment shutdown for inspection on October 11, 2025. On-site inspection confirmed significant wear on the motor-driven end bearings, along with severe oil deficiency. The operations and maintenance team immediately implemented targeted measures, lubricating the bearings promptly and efficiently—without disrupting core production hours.
2. Real-time data validation, with immediate and visible results
On October 11, after the equipment was restarted, real-time monitoring on the platform showed: the vibration acceleration at the motor drive end significantly decreased, with the vertical-direction value stabilizing around 20 m/s². Meanwhile, the wear-related fault characteristics were completely alleviated, and the equipment’s operational trend remained stable, returning to normal working conditions.
4. Platform's Core Value: Tailored to Meet the Needs of the Chemical Industry
This case of handling the main motor failure in the chlorine compressor vividly demonstrates the three core values of Zhongyun Technology's intelligent operation and maintenance monitoring platform:
- Break the limitations of routine inspections: Replace manual, periodic checks with 24-hour real-time monitoring to precisely detect early, hidden faults, enabling "early fault detection."
- Reduce operational and maintenance costs: By leveraging data-driven, precise diagnostics, avoid unnecessary disassembly and repairs, minimize component wear, extend equipment lifespan, and achieve "low-cost maintenance."
- Upgrade the management model: Adopting a closed-loop approach of "early warning - diagnosis - action - verification" to help enterprises shift from "reactive maintenance" to "predictive maintenance," thereby accelerating the digital transformation of equipment management in the chemical industry.
In the future, Zhongyun Technology will continue to iterate its AI diagnostic algorithms and sensor technologies, further expanding applications in the chemical industry. We will provide more enterprises with safe, efficient, and cost-effective intelligent equipment maintenance solutions, helping the industry achieve high-quality growth.
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