Open-pit mine comprehensive cost calculation method based on mathematical regression model

By constructing a full-process cost function based on a mathematical regression model, the blasting parameters in the open-pit mine production process are optimized, solving the local optimization problem of traditional mine cost management and achieving a systematic reduction in full-process costs and data-driven production optimization.

CN121210833BActive Publication Date: 2026-06-09CHINA MINMETALS CHANGSHA MINING RES INST
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Patent Information

Application Number
CN202511749146.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-26
Publication Date
2026-06-09
Estimated Expiration
2045-11-26

AI Technical Summary

Technical Problem

Traditional open-pit mine production cost management has limitations in localized optimization. The fragmented control of each process link makes it difficult to coordinate the contradictions of cost increases and decreases between processes. Existing cost analysis methods fail to cover the entire process and are not accurate enough.

Method used

A full-process cost function model based on mathematical regression is constructed. The mathematical relationship between explosive consumption, hole mesh parameters and rock fragmentation degree is revealed through the blasting block size distribution model. Cost function models for each production link are established, and blasting parameters are optimized to achieve full-process optimization.

Benefits of technology

It has achieved systematic optimization of the entire process cost, reduced wear and tear on loading equipment, empty load rate of transport vehicles, risk of crusher overload and redundant energy consumption in grinding, promoted the transformation of the production system from experience-driven to data-driven, improved resource utilization and equipment life, and enhanced the responsiveness of the production system.

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Abstract

This invention provides a comprehensive cost calculation method for open-pit mines based on a mathematical regression model, belonging to the field of mining engineering calculation technology. The specific calculation process is as follows: S1, the cost model is broken down into C1 to Cn processes, and the average block size and the cost between each process are statistically analyzed; S2, the drilling process cost is calculated based on the hole network parameters of the blasting area; for the remaining processes, the cost is calculated using the average block size-cost relationship, relevant data are statistically analyzed, and a functional relationship is constructed; S3, the functional relationships of the above processes are summarized, with the minimization of comprehensive production cost as the objective function, to obtain the overall cost distribution model after summarization and correlation, and the optimal blasting block size distribution interval is solved through regression analysis. This method effectively overcomes the technical problem commonly found in traditional mine production cost management, where the fragmented control of various process links leads to difficulties in coordinating the contradictory costs between different processes.
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Citation Information

Patent Citations

  • Comprehensive evaluation method for surface blasting engineering

    CN116050706A

  • Method for predicting energy consumption and cost of full process of mining and selection based on while-drilling parameters

    CN119150535A