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The identification of aggregate particle size is based on big data of aggregate particle size. AI visual analysis and other technical means are used to perform quasi real time detection and analysis of the aggregate on the conveyor belt. The particle size of the aggregate is detected and analyzed in real time, and the result data is automatically pushed to the software platform, effectively improving the reliability of the aggregate production process.
Cement Plant
Monitor the particle size and shape of aggregates to ensure that raw materials meet production requirements and improve cement quality
Mining Operations
Screen and classify ores of different particle sizes to ensure the efficiency of downstream processing and product quality
Architectural Engineering
Real time monitoring of aggregate quality at the construction site to ensure that building materials meet engineering standards and reduce quality issues
Sand and gravel factory
Real time detection and classification of sand and gravel particle size to ensure product quality, meet market demand, and improve economic efficiency