Research and Application of 5G and Condition Monitoring in Predictive Maintenance of Ironmaking Blast Furnace

Blast furnace is the core equipment of iron and steel smelting. Traditional inspection mainly relies on manual, the remaining problems include high labor intensity, low efficiency of inspection, inadequate inspection, and difficult digital display of inspection results. With the development of technologies such as UAV and online monitoring and diagnosis and their in-depth application in the field of inspection, firstly, an intelligent inspection business model of “UAV inspection + infrared scanning + data application and visual display” was introduced, then 5G and UAV were applied to temperature measurement of ironmaking blast furnace, blast furnace pipe, hot blast stove. Secondly, in order to realize the safety and stability of blast furnace production, StressWave analysis technology was applied to equipment predictive maintenance, especially for condition monitoring and fault diagnosis. In the specific application case of the gas-seal box and belt conveyor, StressWave on-line condition monitoring system was applied to listen for shock/friction raising events and quantify energy from shock and friction, through comprehensive analysis of on-line condition monitoring data to diagnose fault type and fault severity of gas-seal box and belt conveyor. The accuracy of diagnosis conclusion was verified in the application cases. Finally, this research content and application cases promote application of 5G+ condition monitoring technology in predictive maintenance of ironmaking blast furnace, through effectively improvement of inspection efficiency and quality to provide guarantee for the stable operation of ironmaking blast furnace.