High-precision dense medium intelligent control system and method for coking coal preparation plant

Abstract

The invention relates to the technical field of coal preparation, in particular to a high-precision dense medium intelligent control system and method for a coking coal preparation plant. The method comprises the steps of firstly building a self-learning mathematical model through a prediction module according to historical big data of washed raw coal and products, and predicting the initial density value of dense medium production; then, using a control module for achieving automatic tracking of the density through fuzzy PID; and using a high-precision ash measuring instrument, and adopting afuzzy neural network to achieve ash content-density closed-loop intelligent control. The method has the advantages that the dense medium density process parameters are accurately predicted, the densemedium clean coal product quality is improved, and the dense medium density tracking effect is stabilized and improved.

Description

technical field [0001] The invention relates to the technical field of coal preparation, in particular to a high-precision dense medium intelligent control system and method for a coking coal preparation plant. Background technique [0002] At present, most coal preparation plants use the gravity separation process. The key parameter density of the gravity separation process is to obtain the floating and sinking data of the raw coal through the floating and sinking test of the raw coal, and then draw the selectivity curve (H-R) of the raw coal, and then obtain it according to the quality requirements of the clean coal. Selected density, secret control driver to set the target density based on experience. In the actual production process, the actual target density of the dense medium is quite different from the theoretical density of the selectivity curve, so it is necessary to use the actual production data to learn online to generate the initial density. However, before th...

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Problems solved by technology

The existing coal preparation plants basically manually adjust the set density according to the fast ash after at least one hour to meet the quality requirements of clean coal products, making it difficult to meet the stability and pass rate of clean coal ash

Coking coal preparation plants have higher requirements on the quality of clean coal products. Usually, the ash content of heavy-medium clean coal needs to be controlled within ±0.5% or even less. If there is no high-precision ash detection device for back-control density and high-precision density automatic The tracking method will be difficult to meet the user's demand for clean coal ash

For the on-line control of heavy-medium coal preparation with a large lag, it is difficult to meet the actual control requirements by using conventional PID. Although fuzzy control has the advantage of not needing to establish a specific model, the rules of fuzzy control are subject to the experience of designers. Limitations Difficult to build a controller with good performance

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