Abstract
The traditional open-pit mining method has some defects, such as insufficient utilization of resources, high dilution rate, low production, high cost and unsafe. In order to solve this problem, it is more and more popular to combine modern intelligent technology with traditional mining scheme, but the scheme is still not perfect. Therefore, this paper puts forward an optimization method based on artificial intelligence technology for open-pit mining technology decision-making system. Through the optimization operation of this paper, the traditional open-pit mining technology decision-making system greatly improves the decision-making efficiency and comprehensive performance. In the study of this paper, through the re analysis of the requirements of the open-pit mining technology for the decision-making system, the optimization feasibility scheme is established according to these requirements. The scheme covers the optimization calculation method, simplified calculation steps and so on. In the experimental test, the average broadband performance of the system in this paper reaches more than 10m / s, the average CPU load is less than 70%, and the GIS map response time is less than 3 seconds. The results show that the system in this paper has a higher comprehensive performance, compared with the traditional decision-making system; the performance has been greatly improved. Through the analysis, the research in this paper has achieved ideal results and made a contribution to the field of open-pit mining technology decision-making system.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.