Mineral resource exploration multi-dimensional analysis processing system based on Internet of Things and feature recognition

Abstract

The invention discloses a mineral resource exploration multi-dimensional analysis processing system based on the Internet of Things and feature recognition, and the system comprises an open-pit mine preliminary exploration module, an open-pit mine basic parameter obtaining module, an open-pit mine region division module, a region mineral depth exploration module, a mineral parameter database, an analysis cloud platform, and a background display terminal. According to the method, preliminary mineral resource exploration is carried out on a mine in an unmanned aerial vehicle prospecting mode so as to find out the geographic position of an open-pit ore deposit, region division is carried out on the open-pit ore deposit, appearance feature extraction is carried out on all ores in each divided ore deposit sub-region so as to screen out useful ores, and therefore, the distribution condition of the internal components of the screened useful ore is obtained by using an X-ray detector, so that the comprehensive storage coefficient of the mineral resources corresponding to the open-pit ore deposit is counted, the exploration efficiency is improved, a large amount of manpower exploration cost and material exploration cost are saved, and the exploration level is improved.

Description

technical field [0001] The invention belongs to the technical field of mineral resource exploration, and in particular relates to a multi-dimensional analysis and processing system for mineral resource exploration based on the Internet of Things and feature recognition. Background technique [0002] Mineral resources are one of the important energy sources needed for social development, and the mining of mineral resources is related to the national production plan. In recent years, with the rapid development of my country's national economy, the industry's demand for mineral resources is gradually increasing. In order to meet the needs of production and life for mineral resources, it is necessary to continuously improve the exploration efficiency of mineral resources. However, the current traditional mineral resources exploration methods are inefficient, which is embodied in the following two aspects: [0003] 1. Prospecting: In traditional mineral resource exploration, mos...

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Problems solved by technology

[0003] 1. Prospecting: In traditional mineral resource exploration, most of the prospecting work is to manually search for open-pit deposits in the mine area. Due to the limitations of the ore deposit, there will be a problem of missing the search for the ore deposit, resulting in a decrease in the accuracy of the ore prospecting;

[0004] 2. Analysis of ore and mineral resources: In the traditional mineral resource exploration, most of the ore and mineral resource analysis work is to first collect ore samples from all ores in the open-pit deposit, and use testing equipment to test the composition of the collected ore samples. The composition test results analyze the distribution of the mineral resources of the deposit. On the one hand, the analysis method may damage the structure of the original ore during the collection of ore samples, resulting in the incompleteness of the original ore; All ores are subject to composition testing, which will waste a lot of testing equipment costs. At the same time, the testing takes time, and the testing results cannot be obtained quickly, which greatly reduces the efficiency of mineral resource analysis;

[0005] To sum up, the current traditional mineral resources exploration methods not only waste a lot of manpower and material exploration costs, but also reduce the exploration efficiency, resulting in insufficient intelligence in the current mineral resources exploration, and the exploration level cannot be improved, making it difficult to meet the current requirements. High Efficiency Requirements for Mineral Resource Exploration

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