Online Ash Content Monitor by Automatic Composition Identification and Dynamic Parameter Adjustment Method in Multicoal Preparation Article Swipe
Anghong Yu
,
Haizeng Liu
,
Chuanzhen Wang
,
Jintao Lv
,
Feng Wang
,
Siyang He
,
Lei Wang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/pr10081432
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/pr10081432
The online measurement of coal ash has overcome the shortcomings of chemical tests. However, there could be large fluctuations and errors in the results of online ash monitors because of the transient change in coal quality resulting from different geological conditions in the mining process. In this study, to resolve the problems of the dual-energy γ-ray online ash monitor in the Linhuan Coal Preparation Plant, we investigated the internal factors, such as the composition of multimineral and multicoal, and external factors, such as the moisture and impurities, which affect the measurement results of the coal ash monitor. Furthermore, we developed a mathematical model to determine the effect of relevant factors on the coefficient of the online ash monitor, which revealed the relationship between coal composition and the parameters of the ash monitor, ensuring the stable and accurate measurement of ash in clean coal. The method of determining parameters used in the case of coal blending has been applied in the Linhuan Coal Preparation Plant. By comparing with tested ash content, the average absolute error and relative error for daily ash content measured in April are 0.21 and 2.18%, respectively. Meanwhile, it shows certain accuracy and reproducibility while opposed to the daily average absolute error of 0.22 and relative error of 2.39% in May.
Related Topics
Concepts
Coal
Fly ash
Process engineering
Reproducibility
Water content
Approximation error
Environmental science
Clean coal
Moisture
Accuracy and precision
Mineralogy
Computer science
Pulp and paper industry
Chemistry
Waste management
Materials science
Mathematics
Engineering
Statistics
Algorithm
Geotechnical engineering
Composite material
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/pr10081432
- https://www.mdpi.com/2227-9717/10/8/1432/pdf?version=1658485511
- OA Status
- gold
- Cited By
- 10
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4287149006
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4287149006Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/pr10081432Digital Object Identifier
- Title
-
Online Ash Content Monitor by Automatic Composition Identification and Dynamic Parameter Adjustment Method in Multicoal PreparationWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-07-22Full publication date if available
- Authors
-
Anghong Yu, Haizeng Liu, Chuanzhen Wang, Jintao Lv, Feng Wang, Siyang He, Lei WangList of authors in order
- Landing page
-
https://doi.org/10.3390/pr10081432Publisher landing page
- PDF URL
-
https://www.mdpi.com/2227-9717/10/8/1432/pdf?version=1658485511Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2227-9717/10/8/1432/pdf?version=1658485511Direct OA link when available
- Concepts
-
Coal, Fly ash, Process engineering, Reproducibility, Water content, Approximation error, Environmental science, Clean coal, Moisture, Accuracy and precision, Mineralogy, Computer science, Pulp and paper industry, Chemistry, Waste management, Materials science, Mathematics, Engineering, Statistics, Algorithm, Geotechnical engineering, Composite materialTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 7Per-year citation counts (last 5 years)
- References (count)
-
19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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