CN-122017183-A - Method and system for calculating carbon content by intelligent coal quality parameters

CN122017183ACN 122017183 ACN122017183 ACN 122017183ACN-122017183-A

Abstract

The invention discloses a method and a system for calculating carbon content by intelligent coal quality parameters, which comprise the steps of obtaining batch coal samples from the same mining area or with stable coal quality characteristics, measuring air-based ash and air-based carbon content of a plurality of samples in the batch coal samples by adopting a standard method, carrying out linear regression analysis on data of a plurality of groups of measured air-based ash and air-based carbon content, establishing a linear relation between the air-based carbon content and the air-based ash, measuring the air-based ash of the similar coal samples to be measured, substituting the measured air-based ash into the obtained linear relation, and calculating the air-based carbon content of the coal samples to be measured. The invention realizes that the carbon content can be calculated by only measuring ash content by establishing a linear relation between air-dry-based ash content and carbon content of coal. The method simplifies the detection flow, obviously reduces the cost and time of carbon content measurement, and solves the technical problems in frequent detection and long-term carbon emission accounting.

Inventors

Pan Xiyin
ZHANG JUNCHI
XING XINWEN

Assignees

中安联合煤化有限责任公司

Dates

Publication Date: 20260512
Application Date: 20260106

Claims (10)

1. The method for calculating the carbon content by using the intelligent coal quality parameters is characterized by comprising the following steps of: s1, acquiring batch coal samples from the same mining area or with stable coal quality characteristics; S2, measuring the air-based moisture, the air-based ash content and the air-based carbon content of a plurality of samples in the batch of coal samples by adopting a standard method, calculating the dry-based ash content and the dry-based carbon content by using a coal standard conversion formula, S3, carrying out linear regression analysis on a plurality of groups of air-based ash or dry-based ash and the data of air-based carbon content or dry-based carbon content measured in the step S2, and establishing a linear relation between the air-based carbon content or dry-based carbon content and the air-based ash or dry-based ash; S4, for the similar coal sample to be detected, measuring air-dry base ash and air-dry base moisture of the similar coal sample to be detected, and calculating dry base ash; s5, substituting the obtained air-based ash or the obtained dry-based ash into the linear relation obtained in the step S3, and calculating to obtain the air-based carbon content or the dry-based carbon content of the coal sample to be detected.
2. The method for calculating the carbon content according to the intelligent coal quality parameter of claim 1, wherein the fitting correlation coefficient of the linear relation in the step S3 is not less than 0.95.
3. The method for calculating the carbon content according to the intelligent coal quality parameter of claim 1, wherein in the step S5, the difference between the calculated air-dry basis carbon content and the air-dry basis carbon content actually measured by the standard method meets the requirement of the carbon content determination reproducibility critical difference.
4. A method for carbon content calculation of intelligent coal quality parameters according to claim 3, wherein the critical difference in reproducibility is less than 1.3%.
5. The method for calculating the carbon content according to the intelligent coal quality parameter of claim 1, wherein in the step S4, the determination of the air-dried base ash or the received base ash is performed on-line or off-line by using a spectrum analysis technology.
6. The method for calculating the carbon content of the intelligent coal quality parameter according to claim 1, wherein when the carbon content of the coal sample of the same source is frequently detected, frequent carbon content data is obtained by frequently measuring ash and calculating.
7. The method for calculating the carbon content according to the intelligent coal quality parameter of claim 1, wherein when calculating the comprehensive carbon content in a specific time period, the specific steps include: Collecting coal samples at time intervals in the specific time period, measuring air-dry base ash or received base ash, air-dry base moisture and full moisture of the coal samples, and calculating the air-dry base ash or the received base ash by using a reference conversion formula to obtain dry base ash; Dry basis ash = air dry basis ash 100/(100-Air dry basis moisture); Dry base ash = received base ash 100/(100-Full water); Calculating the dry basis carbon content of each coal sample according to the linear relation, and calculating the dry basis carbon content by using a reference conversion formula to obtain the received basis carbon content; received base carbon content = dry base carbon content (100-Total water)/100; and carrying out weighted average on the calculated received base carbon contents according to the coal loading amount corresponding to each time interval to obtain the comprehensive carbon content in the specific time period.
8. The method for calculating the carbon content according to the intelligent coal quality parameter of claim 7, wherein the specific time period is month, quarter or year.
9. The method for calculating the carbon content by using the intelligent coal quality parameter according to claim 1, wherein when the accuracy of the coal sample measurement result is verified, and the difference between the air-dry basis carbon content actually measured by using the standard method and the air-dry basis carbon content calculated by the linear relation is beyond the allowable error range, the measurement result is judged to be abnormal.
10. A carbon emission accounting system for performing a carbon content calculation method using an intelligent coal quality parameter as claimed in any one of claims 1 to 9, comprising: the data acquisition module is used for acquiring batch coal samples from the same mining area or with stable coal quality characteristics; The data processing and model management module is used for measuring the air-based ash or the dry-based ash and the air-based carbon content or the data of the dry-based carbon content of a plurality of samples in the batch of coal samples by adopting a standard method to carry out linear regression analysis, and establishing a linear relation between the air-based carbon content or the dry-based carbon content and the air-based ash or the dry-based ash; The core measuring and calculating module is used for measuring air-dry basis ash or dry basis ash of the similar coal sample to be measured, substituting the measured air-dry basis ash or dry basis ash into the obtained linear relation, and calculating to obtain the air-dry basis carbon content or dry basis carbon content of the coal sample to be measured.

Description

Method and system for calculating carbon content by intelligent coal quality parameters Technical Field The invention relates to the technical field of coal carbon content measurement, in particular to a method and a system for calculating carbon content by intelligent coal quality parameters. Background At present, the moisture, ash and carbon content of coal can be accurately measured by utilizing instruments meeting national and international standards, but the methods all need to be independently measured, are separately operated, have low efficiency and have higher cost. Especially in the quality detection and carbon emission calculation process of coal, the measurement of the carbon content is especially frequent, and multiple batches of coal samples are required to be divided into monthly total samples for detection, so that the time is consumed, and the economic cost is increased. In addition, the multiple batches of coal samples are separated and combined through the re-separation and combination of separated samples, so that the sub-sample amounts are difficult to separate and combine into a total sample according to the weight of the batch of coal, the carbon content in each month and longer time period is detected, the risk of sample distortion exists, and the actual coal using condition is difficult to accurately reflect. Therefore, a new technology that can replace the conventional measurement method is urgently needed to simplify the flow and reduce the cost. Disclosure of Invention The invention aims to overcome the defects in the prior art, and aims to solve the problems in the prior art by adopting an intelligent coal quality parameter to calculate the carbon content. A method for calculating carbon content by intelligent coal quality parameters comprises the following steps: s1, acquiring batch coal samples from the same mining area or with stable coal quality characteristics; S2, measuring the air-dry basis moisture, the air-dry basis ash content and the air-dry basis carbon content of a plurality of samples in the batch of coal samples by adopting a standard method, and calculating the dry basis ash content and the dry basis carbon content by using a coal standard conversion formula; S3, carrying out linear regression analysis on a plurality of groups of air-based ash or dry-based ash and the data of air-based carbon content or dry-based carbon content measured in the step S2, and establishing a linear relation between the air-based carbon content or dry-based carbon content and the air-based ash or dry-based ash; S4, for the similar coal sample to be detected, measuring air-dry base ash and air-dry base moisture of the similar coal sample to be detected, and calculating dry base ash; s5, substituting the obtained air-based ash or the obtained dry-based ash into the linear relation obtained in the step S3, and calculating to obtain the air-based carbon content or the dry-based carbon content of the coal sample to be detected. As a further aspect of the present invention, the fitting correlation coefficient of the linear relation in the step S3 is required to be not less than 0.95. In the step S5, the difference between the calculated air-dry basis carbon content and the air-dry basis carbon content actually measured by adopting a standard method meets the requirement of the critical difference of the reproducibility of the carbon content measurement. As a further aspect of the invention, the critical difference in reproducibility is less than 1.3%. As a further aspect of the present invention, the determination of the air-dried base ash or the received base ash in the step S4 is performed on-line or off-line by using a spectroscopic analysis technique. As a further aspect of the invention, frequent carbon content data is obtained by frequent ash determination and calculation when frequent carbon content measurements are made on the same source coal sample. As a further aspect of the invention, when calculating the integrated carbon content for a specific period of time, the specific steps include: Collecting coal samples at time intervals in the specific time period, measuring air-dry base ash or received base ash, air-dry base moisture and full moisture of the coal samples, and calculating the air-dry base ash or the received base ash by using a reference conversion formula to obtain dry base ash; Dry basis ash = air dry basis ash 100/(100-Air dry basis moisture); Dry base ash = received base ash 100/(100-Full water); calculating the dry basis carbon content of each coal sample according to the linear relation, and calculating the dry basis carbon content to obtain the received basis carbon content by using a reference conversion formula; received base carbon content = dry base carbon content (100-Full water)/100. And carrying out weighted average on the calculated received base carbon contents according to the coal loading amount corresponding to each time interval to obtain the compr