Soft measurement method for load parameters of mill

A load parameter, soft measurement technology, applied in the field of soft measurement, can solve the problem of not achieving good prediction performance, and achieve the effect of improving accuracy

Inactive Publication Date: 2016-07-20
中国人民解放军61599部队计算所 +1
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Problems solved by technology

Various EMD-based single-model and multi-model soft-sensing methods were us...

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  • Soft measurement method for load parameters of mill
  • Soft measurement method for load parameters of mill
  • Soft measurement method for load parameters of mill

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[0028] The present invention is described below based on examples, but the present invention is not limited to these examples. In the following detailed description of the invention, some specific details are set forth in detail. The present invention can be fully understood by those skilled in the art without the description of these detailed parts. In order not to obscure the essence of the present invention, well-known methods, procedures, procedures, components and circuits have not been described in detail.

[0029] figure 1 It is a schematic diagram of the hardware structure of the mill system and the matching soft sensor system of the present invention. like figure 1 As shown, the two-stage grinding circuit (GC) is widely used in the beneficiation process. At the first end of the grinding circuit, it usually includes sequentially connected silo 1, feeder 2, wet pre-selector 3, and mill 4. and pump pool 5. A hydrocyclone 6 is connected between the pump pool 5 and th...

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Abstract

The invention discloses a soft measurement method for load parameters of a mill. The method adopts various different signal decomposition technologies to decompose the original cylinder vibration signal and vibration-sound signals into a series of sub-signals based on different perspectives for multi-scale and unsteady characteristics of the cylinder vibration and vibration-sound signals. The selected sub-signal spectrum and the original signal spectrum are taken as multisource multi-scale information to construct a soft measurement model for the load parameters of the mill. A global optimization selective ensemble kernel partial least squares (GOSENKPLS) based on an adaptive genetic algorithm (AGA) and a branch-and-bound (BB) algorithm is adopted to carry out optimization selection on structural parameters and learning parameters of candidate sub-models and a selective ensemble model (SEN model), so that the effectively selective fusion of the multisource multi-scale signals is realized. According to the method, the accuracy for soft measurement of the load parameters of the mill can be improved.

Description

technical field [0001] The invention relates to the field of soft measurement, in particular to a method for soft measurement of mill load parameters. Background technique [0002] Ball mill is a kind of heavy-duty closed continuous working rotating mechanical equipment. They are widely used in the grinding process and are the bottleneck equipment of these production processes (see T.Y. Chai, "Operational optimization and feedback control for complex industrial processes," Acta Automatica Sinica, Vol.39, No.11, pp.1744-1757, May.2013.). The internal load parameters of the ball mill (such as material ball ratio (MBVR), grinding concentration (PD), filling rate (CVR)) are too high or too low will lead to mill overload or underload (see literature P.Zhou, T.Y.Chai , H. Wang, "Intelligent optimal-setting control for rinding circuits of mineral processing," IEEE Transactions on Automation Science and Engineering, Vol.6, No.4, pp.730-743, April.2009.). Mill overload will lead to...

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Application Information

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IPC IPC(8): G06F19/00G06N3/12
CPCG06N3/123G16Z99/00
Inventor 汤健柴天佑刘卓周晓杰丁进良吴志伟贾美英迟瑛
Owner 中国人民解放军61599部队计算所
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