Metallurgy
Metallurgy
Intelligent Oil Monitoring Solution

Designed for metallurgical oil applications, this solution monitors lubricating and hydraulic oils in rolling mills, fans, pumps, reducers and other equipment. Accurate monitoring and intelligent analysis identify abnormalities promptly, preventing oil-related wear and shutdowns and safeguarding continuous production. It meets metallurgical safety standards and O&M requirements while enabling precise oil management.

Monitoring Challenges

Severely Delayed Monitoring
Severely Delayed Monitoring
Manual sampling and laboratory testing cannot detect deterioration in real time. Problems are often found only after severe degradation, causing lubrication failure, wear and disrupted production.
Insufficient Adaptability to Operating Conditions
Insufficient Adaptability to Operating Conditions
Heat, dust and vibration overwhelm ordinary devices' interference resistance. Distorted data prevents accurate assessment of oil condition in metallurgical environments.
Significant Safety Risks
Significant Safety Risks
Manual sampling requires entry into high-risk equipment, hot or dusty areas. Sampling may also introduce secondary oil contamination and affect test accuracy.
Insufficient Correlation with Equipment Faults
Insufficient Correlation with Equipment Faults
Without combined oil-condition and equipment-fault analysis, oil abnormalities cannot effectively predict wear or seal failure, preventing end-to-end management.

Product Advantages

Fast Response and Adjustable Data Accumulation

 

Fast response and adjustable accumulation periods capture rapid oil-condition changes and provide timely warnings to O&M personnel.

Accurate Real-Time Monitoring

 

Online monitoring eliminates frequent manual sampling and tracks viscosity, moisture and particle levels in real time, identifying deterioration and contamination early to prevent escalation.

Safety and Efficiency Advantages

Substantially reduces manual inspections and exposure to high-radiation areas. Dedicated algorithms accurately identify faults and root causes, improving O&M efficiency and reducing labor costs.
Intelligent Correlated Diagnosis

Dedicated algorithms correlate oil condition with equipment faults. Metal particles and impurity levels help predict wear, enabling integrated oil-and-equipment management.

Project Case

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