Application of hyperspectrum in the field of ore silicates

In the research and application of ore silicates, we are always faced with many challenges. How to accurately identify the different kinds of ore silicate minerals? How to understand the structure and composition changes of ore silicates? How to explore and develop mineral resources efficiently? These questions have long puzzled geologists and mineral resource developers. With the continuous development of hyperspectral technology, these problems seem to usher in new solutions. Hyperspectral technology can capture the unique spectral characteristics of ore silicates, and through the analysis of these characteristics, we can realize the accurate identification of ore silicates, structural analysis and rapid exploration of mineral resources. Therefore, it is of great practical significance to explore the application of hyperspectrum in ore silicates to solve these long-standing problems.

一、 Application Scenarios

1. Identification and classification of ore silicates:
Mineral type identification: Different ore silicate minerals have unique spectral characteristics, hyperspectral technology can accurately identify the types of silicate minerals contained in the ore through the analysis of these characteristics. For example, by detecting information such as the location, intensity and shape of absorption or reflection peaks in a specific wavelength range, it is possible to distinguish between different types of phyllosilicate minerals such as kaolinite, montmorillonite and illite.

Ore grade assessment: For ores containing multiple mineral components, hyperspectroscopy can evaluate the overall grade of the ore based on the spectral characteristics of different minerals and their relative content. This helps to quickly determine the value and utilization direction of ore during ore mining and processing.

2, ore silicate structure and crystallinity analysis:
Structural study: Hyperspectroscopy can detect the structural information of ore silicate minerals. For example, by analyzing the spectral characteristics generated by the vibration of metal ions and hydroxyl groups (-OH) in minerals, it is possible to understand the crystal structure of minerals, the nature of chemical bonds and the coordination of cations. It is of great significance to further understand the physical and chemical properties and formation mechanism of ore silicates.

Crystallinity judgment: crystallinity is an important factor affecting the properties of silicate minerals. Hyperspectral technology can judge the crystallinity of minerals according to the changes in their spectral characteristics. For example, with the increase of crystallinity, the intensity, width and shape of the spectral absorption peak or reflection peak of some minerals in a specific wavelength range will change regularly. By monitoring and analyzing these changes, the crystallinity of ore silicates can be accurately assessed.

3, mining area geological mapping and mineral resources exploration:
Geological mapping: Hyperspectrum can carry out detailed exploration and analysis of the geological conditions of mining areas, and draw high-precision geological mapping. By identifying the spectral characteristics of different rocks and minerals, it can accurately divide geological units, determine stratigraphic boundaries, identify geological structures, etc., and provide basic data for geological research and mineral resource exploration in mining areas.

Mineral resource exploration: In mineral resource exploration, hyperspectral technology can quickly scan a large area of mining areas to detect potential mineral resources. By analyzing the spectral characteristics of silicate minerals, we can find the hidden mineralization information, determine the distribution range and enrichment degree of minerals, and provide strong support for the exploration and development of mineral resources.

二、Practical application

Instrument used: Color spectrum FS-23 hyperspectral camera

Test effect

Conclusion
The reflectance of the spectral curve is obvious. In the case of halogen light, the part containing silicate will be obviously bright, and the spectral curve will have obvious characteristic peaks (the setting of exposure time and white calibration are key).

三、Development prospects

In the future, the spectral resolution, spatial resolution and signal-to-noise ratio of hyperspectral instruments will continue to improve. The higher spectral resolution allows for more precise capture of the fine spectral characteristics of ore silicate minerals, helping to more accurately identify mineral species and analyze their structures. For example, for some silicate minerals with similar crystal structures and small differences in spectral characteristics, high-resolution spectral instruments can better distinguish them. At the same time, the improvement of spatial resolution will enable the hyperspectral technology to analyze smaller ore particles or mineral structures and provide more detailed mineral distribution information, which is of great significance for the study of the microstructure of ores and the relationship between minerals. With the development of technology, hyperspectral instruments will gradually develop in the direction of miniaturization and portability. This will make the application of hyperspectral technology in field geological exploration, mine site monitoring and other fields more convenient. Geologists can directly detect and analyze the ore in the field, obtain the mineral composition, structure and other information of the ore in time, and provide more timely and accurate data support for the exploration and development of mineral resources.