金属矿山工程投资估算方法及应用研究OA

This article systematically studies the investment estimation method system and application practice of metal mining engineering.By analyzing the limitations of traditional estimation methods,this paper explores the innovation of modern estimation techniques based on BIM technology,Monte Carlo simulation,and machine learning algorithms.Taking typical mining projects in Inner Mongolia as an example,the applicability and accuracy performance of different estimation methods have been verified.The study shows that the traditional method has an estimation error of 20%～30%,while modern technology can improve the accuracy to 92%～95%.The error of intelligent estimation technology is controlled within 8%.We have established a full process quality control system and significantly improved the accuracy of estimation through the combination of multiple methods and standardized processes.The research results provide scientific basis for investment decision-making in metal mining engineering and are of great significance for promoting the digital transformation of the industry.