Thickener underflow concentration prediction method based on DAJYPLS algorithm

A concentration prediction and algorithm technology, applied in the field of hydrometallurgy, can solve problems such as inability to obtain sufficient process data, expansion of production scale, and unfavorable enterprises

Active Publication Date: 2019-09-24
NORTHEASTERN UNIV
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Problems solved by technology

The above methods are all based on sufficient data samples. For a new batch production process that has just been put into production, due to the short running time of the production process, sufficient process data is usually not available.
If a modeling method similar to the above is used, the established forecasting model often has low forecasting accuracy and cannot meet production needs
Accord...

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  • Thickener underflow concentration prediction method based on DAJYPLS algorithm
  • Thickener underflow concentration prediction method based on DAJYPLS algorithm
  • Thickener underflow concentration prediction method based on DAJYPLS algorithm

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Embodiment Construction

[0056] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0057] This application combines specific examples to carry out simulation experiments on the content of the invention under the condition of collecting industrial data on site to verify the effectiveness of the proposed prediction method. The following will introduce the implementation examples:

[0058] The relationship between pressure and underflow concentration is obtained from prior knowledge:

[0059] C UF =a 1 +a 2 ΔP 12 +a 3 ΔP 23 +a 4 ΔP 12 ·△P 23 +a 5 ΔP 23 2 (11)

[0060] ΔP 12 =P 2 -P 1 (12)

[0061] ΔP 23 =P 3 -P 2 (13)

[0062] Among them, P 1 , P 2 and P 3 is the value of pressure sensor 1, pressure sensor 2, and pressure sensor ...

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Abstract

The invention provides a thickener underflow concentration prediction method based on a DAJYPLS algorithm, and relates to the technical field of hydrometallurgy. The method comprises the following steps: step 1, determining a data set required for establishing a model; 2, performing standardized processing on data in the data set; step 3, establishing a DAJYPLS prediction model based on a JYPLS algorithm; step 4, giving a new sample xnew for the target domain. According to the method, an accurate prediction model can still be established when a small amount of on-site sampling data exists, so that an operator is assisted in control, safe and stable operation of the thickening and dewatering process is guaranteed, comprehensive economic benefits are improved, and meanwhile, the failure rate of the filter press is reduced.

Description

technical field [0001] The invention relates to the technical field of hydrometallurgy, in particular to a thickener underflow concentration prediction method based on a domain adaptive joint output partial least squares (DAJYPLS) algorithm. Background technique [0002] With the rapid development of the country, the continuous advancement of industrialization and urbanization, and the continuous development and utilization of mineral resources, high-grade ores are gradually decreasing, and metal resources are increasingly depleted. The industry has to increasingly face the problem of recovering mineral resources from poor, fine and miscellaneous ores, and the supply of mineral resources is facing unprecedented pressure. How to economically and efficiently utilize low-grade non-ferrous metal mineral resources to produce metal products is of great significance to the sustainable development of our country. The hydrometallurgical process has the advantages of processing low-g...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06Q10/04G06Q10/06G06Q50/02
CPCG06Q10/04G06Q10/06393G06Q50/02G06F30/20
Inventor 贾润达张树磊张卫敏张斌张华鲁
Owner NORTHEASTERN UNIV
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