LUCULENT Introduction:
Under the scorching summer heat, power plants are also facing multiple "tests" such as high - load operation of units, increased pressure on equipment maintenance, and frequent extreme weather.
"One of our power plant's coal mills has abnormal vibration after startup. Please ask your company's diagnostic experts to help us analyze the specific root cause of the fault!" One day in August, Engineer Chen, a diagnostic engineer of Luculent SuShine, was on duty when he suddenly received a help call from a power plant customer.

"People with experience working in power plants know that large - scale equipment like coal mills is as complex as the human heart system. Abnormal heartbeats often indicate hidden dangers of many 'complications'." Engineer Chen was well aware that among all indicators reflecting the health status of equipment, abnormal vibration is the most difficult to judge and handle. Such seemingly "unexplained" minor problems can, at best, affect the power generation efficiency of the unit, and at worst, lead to equipment damage and unplanned unit shutdowns, with losses amounting to millions.

He quickly checked the early warning information from the Luculent SuShine Equipment Fault Early Warning and Diagnosis Platform: the vibration value of the 1A coal mill reducer was abnormally high! The input shaft vibration had reached 14.4mm/s, far exceeding the safety threshold (11.2mm/s). Thanks to the self - diagnosis capability of the AI model, the platform first automatically screened key signals, allowing him to focus immediately on this equipment identified as having a "severe fault".

Overview Interface Diagram of Equipment in a Certain Power Plant

On the large screen in front of him, various types of sensor data streams reconstructed a 3D dynamic image of the 1A coal mill in the digital twin. Engineer Chen then focused on retrieving and analyzing the vibration spectrum data of key components such as the motor, reducer, and pinion. With professional experience, he敏锐ly identified a core feature in the spectrum: a peak at 40.23Hz and its harmonics, which exactly corresponded to the theoretical meshing frequency of the large and small gears!

"Could it be a problem caused by poor gear meshing?"

With this initial inference, Engineer Chen continued to use the SuShine Yaoguang large model for fully automatic analysis, combining key information such as abnormal frequency characteristics marked by the platform, gear oil injection pressure, and operating conditions for layer - by - layer reasoning and verification. In just a few seconds, the large model, like an experienced expert, quickly关联 and compared from massive professional knowledge bases and historical fault cases, and accurately determined that the equipment vibration was due to abnormal impact loads caused by poor lubrication of the large and small gears with the collaboration of multiple intelligent agents.

Finally, combining the "extensive knowledge" of the AI large model with the "clinical experience" of diagnostic experts, the platform issued a clear "physical examination report" to the power plant, pointing directly to the lesion and providing specific "treatment suggestions": immediately check the lubrication of the meshing surface of the large and small gears to ensure appropriate lubricating oil viscosity and quantity.

The next day, the power plant maintenance team carried out maintenance during the off - peak period according to the "treatment guide" provided by the platform, and found that the oil injection position of the large and small gears was indeed deviated from the meshing surface, and one tooth of the high - speed shaft coupling was broken due to excessive vibration.

Situation at the Power Plant Maintenance Site

After adjusting the oil injection position and repairing the coupling, the vibration value of the equipment decreased significantly after startup, effectively avoiding equipment damage caused by aggravated gear wear.

After Maintenance and Treatment, the Vibration Trend of the Reducer Decreased Significantly

This efficient fault case disposal process demonstrates the unique advantages of the Luculent SuShine Equipment Fault Early Warning and Diagnosis Platform in solving "difficult and complicated diseases" of key equipment -

First, the integration of software and hardware.
Build a systematic real - time monitoring capability of equipment operating status, provide a "edge gateway + intelligent hardware" integrated software and hardware equipment status perception solution. Based on multi - modal intelligent perception technologies such as vibration, oil, acoustic fingerprint, and infrared, it can not only "see" the surface characteristics of the equipment, but also "understand" the deep - seated fault logic.

Second, targeted treatment for specific diseases.
For key equipment and typical faults, provide tailor - made special analysis applications and characteristic diagnostic models. It can not only see through large components such as motors, reducers, and coal mills, but also accurately capture the state of individual gear teeth and bearing balls, achieving real "component - level" precision diagnosis.

Third, closed - loop operation and maintenance.
Open up the entire link from real - time fault alarm to platform self - diagnosis, model self - analysis, to intelligent diagnosis suggestions and guidance for operation. Drive the intelligent operation and maintenance closed loop with real - time equipment status. At the same time, the case experience of each diagnosis and treatment will be deposited into the knowledge base, continuously empowering subsequent operation and maintenance decision - making.

It is like an all - weather online, knowledgeable and insightful "super brain". It builds the equipment "nervous system" based on the industrial Internet platform, endows the system with "professional intuition" with the large model, helps operators accurately "pulse" the equipment "root causes" that may cause chain reactions, makes hidden dangers nowhere to hide, and makes maintenance decisions clear and effective.

Customer Feedback

During the post - incident review, the power plant customer sighed to Engineer Chen: "The Luculent platform has fast early warning and accurate diagnosis.Not only did it quickly locate the fault, but more importantly, it helped us avoid unplanned equipment shutdown caused by worsening vibration and ensured the stable operation of the unit." In the future, Luculent will continue to integrate advanced AI and intelligent diagnosis technologies to protect the stable and efficient operation of industrial core equipment and truly implement "predictive maintenance" in more industry fields.