Rapid coal quality detection method based on photoluminescence spectrum comprehensive analysis

Abstract

The invention provides a rapid coal quality detection method based on photoluminescence spectrum comprehensive analysis, which is characterized by comprising the following steps: step I, carrying out photoluminescence spectrum detection on coal, determining a photoluminescence spectrum characteristic peak of the coal according to a detection result, and then carrying out peak division analysis and fitting calculation to obtain photoluminescence spectrum characteristic parameters related to coal quality; step II, selecting standard coal samples with different coal qualities, and respectively obtaining corresponding photoluminescence spectrum characteristic parameters according to the method described in the step I; carrying out industrial analysis and calorific value detection on the coal sample to obtain coal quality component characteristic parameters and calorific value; establishing a mapping relationship among the photoluminescence spectrum characteristic parameters, the coal quality component characteristic parameters and the calorific value; and step III, acquiring photoluminescence spectrum characteristic parameters of the coal to be detected, substituting the photoluminescence spectrum characteristic parameters into the mapping relationship between the photoluminescence spectrum characteristic parameters and the coal quality component characteristic parameters and the calorific value established in the step II, and calculating to obtain the coal quality component characteristic parameters and the calorific value of the coal to be detected.

Description

technical field [0001] The invention belongs to the field of coal quality detection, and in particular relates to a rapid detection method for coal quality based on comprehensive analysis of photoluminescence spectrum. Background technique [0002] Coal is China's main primary energy source. In 2019, China's coal consumption accounted for 57.7% of China's total energy consumption. In the foreseeable future, coal will still occupy the main position of my country's energy consumption, which is of great significance to the comprehensive and sustainable development of my country's economy. important strategic significance. Therefore, the clean and efficient utilization of coal is very important to the national economy, and the intelligent production of coal is one of the effective ways to efficiently utilize coal. In the process of intelligent coal production, online accurate monitoring of raw coal is a key step. [0003] At present, the coal quality detection methods widely us...

AI Technical Summary

Problems solved by technology

Therefore, the actual spectrum is the superposition of Raman spectrum and fluorescence spectrum, which interferes with the analysis of Raman spectrum, brings difficulties to the quantitative analysis of Raman spectrum, and makes it difficult to reveal the specific structure of coal

Images