Novel rapid detection method of calorific values in coal samples

[0066] Example 1

[0067] This embodiment provides a new rapid detection method for calorific value in coal samples, which includes the following steps:

[0068] S1. Collect and prepare several coal samples, and measure the calorific value of each sample by conventional methods;

[0069] S2. Scan and collect the spectral data and curves of the coal sample with an NIRS analyzer;

[0070] S3. Process the spectrum data of the sample obtained in S2, calculate the calorific value calibration equation by regression, revise and verify the calorific value calibration equation, and establish a detection model;

[0071] S4. Fill the sampler of the NIR instrument directly with the coal samples to be tested (no need to weigh the sample), start the scan button, and the NIR instrument will automatically record and store the sample spectrum. After judging the spectrum type of the sample, click the corresponding detection model to obtain the detection result.

[0072] Among them, the method of collecting

[0129] Example 2 Application Evaluation Experiment

[0130] In this embodiment, the detection model established in the embodiment is used to detect the calorific value content in a group of coal samples with unknown component content to be tested, and then the detection value obtained by the NIR method is compared and evaluated with the detection value of the conventional physical and chemical method. The comparison results of the two methods are measured by the Standard Error of Prediction (SEP) and the corresponding coefficient of determination (RSQp) or correlation coefficient Rp.

[0131] Randomly select some coal samples, without weighing the samples, fill the sampler of the NIR instrument directly in sequence, start the scan button, and the NIR instrument automatically records and stores the sample spectrum. After judging the type of spectrogram that the sample belongs to, click on the corresponding detection model to print the detection result and quickly complete the detection