本文選題：動力煤　切入點(diǎn)：預(yù)測　出處：《中國礦業(yè)大學(xué)》2015年碩士論文

【摘要】：選煤廠產(chǎn)品的預(yù)測與優(yōu)化對于選煤廠的生產(chǎn)和質(zhì)量管理至關(guān)重要。本文以神東集團(tuán)的選煤廠為研究目標(biāo),對選煤生產(chǎn)過程進(jìn)行了預(yù)測和優(yōu)化研究,對選煤廠生產(chǎn)得到的初級產(chǎn)品進(jìn)行了優(yōu)化配比研究。本文分析了神東集團(tuán)石圪臺選煤廠、上灣選煤廠和活雞兔選煤廠的歷史生產(chǎn)數(shù)據(jù),探索了選煤廠原煤灰分與其產(chǎn)品的各個特性的關(guān)系。通過挑選原煤灰分、塊精煤產(chǎn)率、塊精煤發(fā)熱量、末精煤產(chǎn)率、末精煤灰分、混煤產(chǎn)率、混煤灰分、粗精煤產(chǎn)率和粗精煤灰分共9個實際生產(chǎn)數(shù)據(jù)進(jìn)行相關(guān)性分析,試圖通過原煤的灰分來預(yù)測選煤廠產(chǎn)品的特性。分析結(jié)果表明,僅僅通過原煤灰分的預(yù)測結(jié)果準(zhǔn)確度不高,對實際生產(chǎn)的指導(dǎo)意義不大。為了使預(yù)測結(jié)果準(zhǔn)確可靠,本文以石圪臺選煤廠為目標(biāo),研究了其重介淺槽分選機(jī)、重介旋流器和螺旋分選機(jī)三個分選流程的生產(chǎn)情況。以三個分選環(huán)節(jié)得到的實際生產(chǎn)數(shù)據(jù),繪制了各自的分配曲線,并根據(jù)分配曲線的公式,預(yù)測了不同入料條件下的產(chǎn)品情況。預(yù)測的結(jié)果與實際生產(chǎn)情況接近,結(jié)果可靠。重介分選過程的優(yōu)化可以歸納為尋找最佳分選密度。本文以石圪臺選煤廠為研究目標(biāo),以經(jīng)濟(jì)效益最大化為優(yōu)化目標(biāo),對石圪臺選煤廠分別進(jìn)行了單工藝環(huán)節(jié)和多工藝聯(lián)合的優(yōu)化計算。結(jié)果表明,差分進(jìn)化算法對于求解的速度和精確性更高。本文最后以經(jīng)濟(jì)效益最大化為目標(biāo),研究了不同約束條件下選煤廠初級產(chǎn)品的配比問題。針對動力煤產(chǎn)品的特點(diǎn),本文將發(fā)熱量、水分等設(shè)置為約束條件,得到了不同約束條件下的最優(yōu)產(chǎn)品配比,為選煤廠的銷售做出了指導(dǎo)。
[Abstract]:The prediction and optimization of coal preparation plant products is very important for the production and quality management of coal preparation plant.In this paper, the coal preparation plant of Shendong Group is taken as the research object, the coal preparation process is predicted and optimized, and the primary products produced by the coal preparation plant are optimized.This paper analyzes the historical production data of Shigetai Coal preparation Plant, Shangwan Coal preparation Plant and Huojianyu Coal preparation Plant of Shendong Group, and probes into the relationship between the ash content of raw coal and the characteristics of its products.Through selecting 9 actual production data of raw coal ash, block clean coal yield, block clean coal calorific value, final clean coal yield, final clean coal ash, mixed coal yield, mixed coal ash, coarse clean coal yield and coarse clean coal ash, the correlation analysis was carried out.This paper attempts to predict the characteristics of coal preparation plant products by the ash content of raw coal.The analysis results show that the prediction results of ash content of raw coal are not accurate enough, which is of little significance to actual production.In order to make the prediction results accurate and reliable, this paper studies the production of the separation process of the heavy medium shallow groove separator, heavy medium cyclone and spiral separator, which is aimed at Shigetai Coal preparation Plant.Based on the actual production data obtained from three sorting links, the distribution curves are drawn, and the product conditions under different feed conditions are predicted according to the formula of the distribution curve.The predicted results are close to the actual production and the results are reliable.The optimization of the remedium sorting process can be summarized as searching for the best separation density.In this paper, Shigetai Coal preparation Plant is taken as the research goal and the economic benefit maximization as the optimization objective, and the single process link and multi-process combination optimization calculation are carried out respectively for Shigetai Coal preparation Plant.The results show that the differential evolution algorithm has higher speed and accuracy.In the end of this paper, the problem of the proportion of primary products in coal preparation plant under different constraints is studied with the aim of maximizing economic benefits.According to the characteristics of thermal coal products, this paper sets the heat and moisture as the constraint conditions, obtains the optimal product proportion under different constraints, and makes the guidance for the sale of coal preparation plant.
【學(xué)位授予單位】：中國礦業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TD94

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