In-situ identification and rapid quantification method for coal rock macerals

Abstract

The invention discloses an in-situ identification and rapid quantification method for coal rock macerals. The method comprises the following steps: firstly, selecting a plurality of different coal rank standard coals to carry out industrial analysis, lithofacies analysis and Raman spectrum surface scanning to obtain dry ash-free base volatile component content Vdaf, macerate type determination results and Raman characteristic parameters; selecting a plurality of Raman characteristic parameters for clustering analysis, drawing a hot spot map according to a clustering result, comparing the hot spot map with a lithofacies analysis result, and determining microcomponent types corresponding to different colors of the hot spot map; establishing a corresponding relationship between the Raman characteristic parameters and Vdaf, determining a threshold interval where the Raman characteristic parameters of different microscopic components of each coal rank are located, and establishing a microscopic component in-situ identification criterion according to the interval; during detection, performing industrial analysis and Raman test on coal to be detected, identifying the macerals by utilizingthe criterion, and determining the content of the corresponding macerals according to the proportion of each color point in the hot spot map. The experiment and data processing method is simple, andthe detection is rapid and accurate.

Description

technical field [0001] The invention belongs to the field of clean and efficient utilization of coal, and relates to a coal rock microcomponent identification technology, in particular to an in-situ identification and rapid quantitative method for coal rock microcomponents. Background technique [0002] The resource endowment of "rich coal, poor oil, and little gas" determines my country's coal-based energy consumption structure. Due to its own structural characteristics, coal will bring a series of environmental pollution problems in the process of utilization, such as: nitrogen oxides, sulfur oxides and particulate matter emissions, and greenhouse gas effects. Therefore, the clean and efficient utilization of coal is a sustainable major needs for development. [0003] Coal is a structurally heterogeneous body, and the heterogeneity of its chemical structure has a significant impact on the thermal conversion characteristics of coal. In microscopic coal petrology, coal can...

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Problems solved by technology

This technology is still based on image recognition. The biggest problem with image recognition is that the repeatability is not high. Different exposure parameters and different external lighting environments will cause large structural errors, especially in external lighting environments. It is difficult to maintain a stable environment in the industry. , relatively stable analysis results can be obtained in the laboratory environment, but the actual industrial environment has a lot of interference and poor repeatability, which makes it impossible for industrial application

However, there is currently no technology that uses microscopic Raman spectroscopy surface scanning technology for the analysis of raw coal microcomponents. If Raman spectroscopy surface scanning technology is combined with petrographic analysis, the characteristics of rapid, accurate and undisturbed Raman analysis can be combined with The combination of slow petrographic analysis but accurate results can create an in-situ identification and quantitative analysis technology for coal and rock microcomponents with high accuracy and fast identification speed

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