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A Method for Establishing Online Robust Regularized Soft Sensor Model of Grinding Granularity

A grinding and particle size technology, which is applied in measurement devices, particle size analysis, particle and sedimentation analysis, etc., can solve the problems of difficulty in meeting the requirements of estimation accuracy and real-time performance, low model reliability, etc., and achieves fast training speed, The effect of good real-time performance and simple structure

Active Publication Date: 2021-02-26
荣托昆普(无锡)科技有限公司
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Problems solved by technology

[0005] In order to solve the technical problem that the reliability of the current model is not high and it is difficult to meet the requirements of the actual grinding process for estimation accuracy and real-time performance, the present invention proposes a method for establishing an online robust regular soft sensor model of the grinding particle size. And verified with the grinding process data

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  • A Method for Establishing Online Robust Regularized Soft Sensor Model of Grinding Granularity
  • A Method for Establishing Online Robust Regularized Soft Sensor Model of Grinding Granularity
  • A Method for Establishing Online Robust Regularized Soft Sensor Model of Grinding Granularity

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[0036] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0037] Such as figure 1 As shown, the establishment method of the online robust regular soft sensor model of the grinding particle size of the embodiment of the present invention comprises the following steps:

[0038] S1. Among the variables of the grinding process, the five process variables with the highest correlation with the grinding particle size are selected as input variables, and the grinding particle size is modeled and estimated.

[0039] Among them, the input variables include ball mill feed rate (t / h), ball mill in...

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Abstract

The invention discloses a method for establishing an online robust regular soft-sensing model of ore grinding particle size, comprising the following steps: S1, among the ore grinding process variables, selecting five process variables with the highest correlation with the ore grinding particle size as input variables, Model and estimate the grinding particle size; S2, initialize the online robust regular random vector function link network structure and parameters, and establish the L 2 ‑The regularized random vector function of ridge regression links the network model to calculate the initial residual of the sample; S3, in the initial learning stage of robust modeling, calculates each The weight of the samples when they participate in the modeling, and update the initial output weight of the network model; S4, in the online learning stage of online estimation and robust modeling, use the network model to online estimate the grinding process data at the current moment based on the real-time collected grinding process data. mine granularity, and introduce output weight offset constraints, adaptively update random vector function link network parameters.

Description

technical field [0001] The invention relates to the technical field of data-driven modeling, in particular to a method for establishing an online robust regular soft sensor model of grinding particle size. Background technique [0002] The grinding process is the most critical process in the ore beneficiation process, which plays an important role in linking the past and the future. The grinding process is mainly to crush ore raw materials to a suitable particle size, so that useful minerals can be dissociated from gangue monomers, or different useful minerals can be dissociated from each other to provide raw materials for subsequent sorting operations. Among them, the grinding particle size is a key operating index that characterizes the quality of the produced product in the grinding process. A suitable grinding particle size can not only realize the monomer dissociation of useful minerals, but also ensure that the obtained grinding products have a high metal recovery rat...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N15/02
CPCG01N15/02
Inventor 代伟胡金成李德鹏夏振兴褚菲杨瑞哲王雪松程玉虎马小平
Owner 荣托昆普(无锡)科技有限公司
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