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Algorithm Mall
The identification of excessive aggregate particle size is based on artificial intelligence visual analysis, which performs quasi real time detection and analysis of aggregates on the conveyor belt, obtaining characteristic parameters, distribution, and change trends of particle size during the detection cycle, thereby achieving online analysis of aggregate quality and proportion, and online monitoring of equipment operating parameters.
Cement Plant
Real time monitoring of aggregate particle size, detection of excessive particles, ensuring that the quality of produced cement meets standards and avoiding quality issues
Mining Operations
Screen ores, detect particles with excessive particle size, ensure smooth downstream processes, and improve product quality
Architectural Engineering
Real time detection of aggregate particle size on the construction site, discovering particles that exceed the standard, ensuring that building materials meet engineering requirements, and reducing quality hazards
Sand and gravel factory
Real time detection of sand and gravel particle size, detection of excessive particles, ensuring product quality, meeting market demand, and improving economic benefits