Mineral raw material particle size control method, device, storage medium, and computer equipment

By combining multi-stage screening and grinding equipment, and utilizing real-time particle size data feedback and analysis to optimize production parameters, the problem of uneven particle size control of mineral raw materials has been solved, efficient and stable particle size control has been achieved, and processing results and resource utilization have been improved.

CN119747063BActive Publication Date: 2025-09-23CSG HOLDING CO LTD +1
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Patent Information

Application Number
CN202510029734.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-08
Publication Date
2025-09-23
Estimated Expiration
2045-01-08

AI Technical Summary

Technical Problem

Existing technologies make it difficult to achieve high-precision and stable control of the particle size of mineral raw materials, resulting in uneven particle size distribution, poor processing effects, and further waste of raw materials.

Method used

Multi-stage screening equipment is used to perform airflow classification on the initial raw materials, which are then processed in conjunction with grinding equipment. Through real-time particle size data feedback and analysis, production parameters are automatically optimized to achieve fine control.

Benefits of technology

It achieves uniform distribution of mineral raw material particle size and stability of the processing process, improves processing efficiency, avoids raw material waste, and forms fine particle size control throughout the entire process.

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Abstract

The mineral raw material particle size control method, device, storage medium, and computer equipment provided by the present application, when processing the raw materials, use multi-stage screening equipment to classify the initial raw materials into multiple levels of mineral raw materials and then transfer them to the corresponding grinding equipment for processing, and collect real-time particle size data of each level of mineral raw materials during processing to feedback the processing status of the raw materials, and then perform particle size analysis on the real-time particle size data based on the standard particle size data, and when the analysis results do not meet the standards, determine the optimal production parameters of the non-standard equipment based on the analysis results, and optimize the parameters of the equipment to the optimal production parameters, so as to improve the stability and efficiency of the processing process through automated fine particle size control, and continue to analyze the real-time particle size data after parameter optimization and optimize the equipment parameters. Therefore, through this method, the particle size control process of mineral raw materials can form a complete closed loop, realizing fine particle size control of the entire process.
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