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Mill load parameter soft measuring method based on virtual sample

A technology of virtual samples and load parameters, applied in the field of soft measurement, can solve the problems of high economic and time costs

Inactive Publication Date: 2016-01-27
中国人民解放军61599部队计算所 +1
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Problems solved by technology

However, due to the continuous and closed operation of the ball mill, the modeling data used to construct the soft-sensing model can only be obtained in the experimental design stage for the construction of the soft-sensing model or in the restarting operation stage after the production process is stopped, and sufficient effective data can be obtained. The economic and time cost of modeling data is high

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  • Mill load parameter soft measuring method based on virtual sample
  • Mill load parameter soft measuring method based on virtual sample
  • Mill load parameter soft measuring method based on virtual sample

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Embodiment Construction

[0027] 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.

[0028] 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.

[0029] Two-stage grinding circuit (GC) is widely used in beneficiation process, such as figure 1 The one-stage grinding (GCI) shown, at the first end of the grinding circuit, generally includes a silo 1 , feeder 2 , wet pre-separator 3 , mill 4 and pump sump 5 connected in sequence. A hydrocyclone 6 is connected be...

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Abstract

The invention discloses a mill load parameter soft measuring method based on a virtual sample. The mill load parameter soft measuring method comprises the steps of acquiring a multi-dimension time domain sub-signal of mill cylinder vibration and vibration sound sample signal by means of ensemble empirical mode decomposition (EEMD) technology, and performing further processing for obtaining high-dimension spectral data with different time dimensions; then constructing a feasibility-based planning (FBP) model based on the high-dimension spectral data according to an improved selective integrated kernel partial least squares (IGASEN-KPLS) method, and generating a new virtual sample based on priori knowledge and an FBP model; then obtaining a mixed sampling model after mixing the new virtual sample with a true training sample, performing adaptive selection of a multiple-dimension spectral characteristic by means of a mutual information (MI) based characteristic selecting method, constructing a soft measuring model by means of the selected spectral characteristics and performing soft measurement.

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 based on virtual samples. Background technique [0002] The optimal operation control of the grinding process needs to accurately detect the load parameters in the mill (see literature [1] P. Zhou, T. Y. Chai, H. Wang, "Intelligent optimal-setting control for grinding circuits of mineral processing," IEEE Transactions on Automation Science and Engineering, 6 (2009) 730-743. and Literature [2] T.Y.Chai, "Operational optimization and feedback control for complex industrial processes," Acta Automatica Sinica, 39 (2013) 1744-1757). Tens of thousands of steel balls are arranged in layers inside the mill, and the impact forces of different layers of steel balls on the materials inside the mill and the barrel of the mill have different intensities and cycles. Usually the measured cylinder vibration signal is a mixture of multiple sub...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 汤健柴天佑刘卓吴志伟周晓杰迟瑛贾美英李东
Owner 中国人民解放军61599部队计算所
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