Mineral resource monitoring system for natural mineral resources

Abstract

The invention discloses a mineral resource monitoring system for natural mineral resources. The mineral resource monitoring system comprises a data pre-processing module, a data analysis module, a monitoring and processing module and an anomaly processing module. The data pre-processing module is used for screening out abnormal value data and correspondingly processing the abnormal value data. After pre-processing is carried out, statistical and visualized analysis is carried out on topographic data and borehole data. The monitoring and processing module carries out structural analysis on mineral natural resource data of an experimental region. Excel table data of topography and boreholes is read into the system, and then subjected to abnormal value data processing so that corresponding operation can be carried out in the subsequent steps, and abnormal values are subjected to threshold processing or deleting processing. According to the mineral resource monitoring system, after the mineral product storage level is reasonably estimated, the mineral resources are reasonably monitored through abnormal data in the data, and a good analysis and decision environment is provided for mineexploration study. A reasonable distributing and scheduling scheme and management decision bases are provided for use of the mineral resources of different regions.

Description

technical field [0001] The invention belongs to the field of geoscience information engineering, and in particular relates to a mineral deposit monitoring system for natural mineral resources. Background technique [0002] Mineral storage monitoring is one of the basic tasks of mineral exploration, and it is also the summary of mineral geological exploration work results and the basis of mine production management. It runs through the entire life cycle of mines. At present, the monitoring methods of mineral reserves are mainly divided into two categories, one is the traditional common method based on simple geometric calculation; the other is the mathematical geological method based on statistics. The traditional mineral storage monitoring method is a storage monitoring method commonly used in mine exploration and mining in my country. The storage monitoring and classification process is mostly manual operation, which is greatly influenced by human subjective factors, and th...

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Problems solved by technology

With the rapid development of computer technology, many researchers use auxiliary tools such as database, EXCEL and CAD, or try to develop related storage monitoring software to improve the traditional manual monitoring process and improve processing efficiency; but these auxiliary tools do not have corresponding professional processing Functions, data processing methods, methods and efficiency are greatly restricted; at the same time, the professional software developed in the early stage has not met the current application requirements due to reasons such as older versions, limited functions and unsatisfactory visualization effects.

Since the end of the 1990s, although foreign mining software with advanced Kriging storage monitoring methods has been introduced, the monitoring process requires detailed exploration data, which is difficult to adapt to the characteristics of my country's mineral exploration; moreover, storage classification and other functions still require Supplementary development to meet my country's standards cannot solve the problem of my country's mineral storage monitoring

[0004] In my country, because the computer application of mineral storage monitoring is in the preliminary stage, the software that can well support the traditional mineral storage monitoring methods in my country is still in further exploration and research; due to the complexity of the mineral storage monitoring process and the limitations of the storage monitoring model Diversity, polymetallic mineral storage monitoring issues in mines, and the classification elements in the new storage classification standard are relatively complex and difficult to quantify, and the degree of automation of computer-aided mineral storage monitoring and classification is relatively low

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