Real time steel plant production scheduling dashboard
Full Element Perception Network: Deploy vibration sensors (accuracy ± 0.1mm/s), infrared thermal imagers (resolution 640 × 512), laser rangefinders (accuracy ± 1mm), and other IoT devices in key equipment such as blast furnaces, converters, and continuous casting machines to collect real-time data of over 300 parameters including temperature, pressure, and current. For example, the sensor network deployed by Baoxin Software in the Fourth Steel Rolling Plant of Magang can achieve millisecond level upload of composition data for each furnace of molten steel.
Edge intelligent processing: deploy edge servers locally in the workshop, integrate AI algorithms (such as YOLOv8) to conduct real-time analysis of equipment images, identify equipment cracks, slagging and other abnormalities, and the response time is less than 200ms. Tanggang High Strength Automobile Plate Plant optimizes the roll wear prediction model through edge computing, extending the roll change cycle by 15%.
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