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Dredging energy consumption prediction method based on partial least square method

A technology of partial least squares and forecasting methods, applied in forecasting, data processing applications, instruments, etc., can solve the problems of high energy consumption and low output in dredging operations

Active Publication Date: 2019-10-08
HOHAI UNIV CHANGZHOU
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Problems solved by technology

[0003] The purpose of the present invention is to provide a dredging energy consumption prediction method based on the partial least squares method to solve the technical problems of high energy consumption and low output in dredging operations in the prior art

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  • Dredging energy consumption prediction method based on partial least square method
  • Dredging energy consumption prediction method based on partial least square method
  • Dredging energy consumption prediction method based on partial least square method

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[0058] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0059] like figure 1 As shown, the data of energy consumption and various process parameters in dredging operations are collected, and a sample matrix is ​​established; n times of observations are made on p independent variables and 1 dependent variable, and the independent variable and dependent variable are respectively recorded as "sample point × variable "The data matrix of type is as follows:

[0060]

[0061] Among them, x represents the independent variable matrix, a ij Indicates the i-th measured value of the j-th independent variable, i=1,2,...,n, n represents the number of observations, that is, the number of measurements, j=1,2,...,p, p represents the number of independent variab...

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Abstract

The invention discloses a dredging energy consumption prediction method based on a partial least square method, and belongs to the technical field of dredging engineering. In order to solve the technical problems of high energy consumption and low yield of the dredging operation in the prior art, the dredging energy consumption prediction method based on the partial least square method comprises the following steps of collecting the data information of the energy consumption and each process parameter in the dredging operation, and establishing a sample matrix; performing standardization processing on the collected data; extracting the main components according to the principle of partial least squares; and establishing a mathematical model of the energy consumption and the process parameters. According to the dredging energy consumption prediction method based on the partial least square method, the high-energy-consumption factors during the dredging operation process can be accurately predicted, and then the engineering personnel are helped to formulate the effective energy-saving and consumption-reducing measures.

Description

technical field [0001] The invention belongs to the technical field of dredging engineering, and in particular relates to a dredging energy consumption prediction method based on a partial least square method. Background technique [0002] Dredging engineering is an important project of water conservancy and water transportation engineering, which plays a very important role in the progress of human society, environmental improvement and economic development. Modern dredging projects are mainly carried out by dredgers, and there are many process control parameters. In the current stage of dredging operations, manual operations are mainly used. Even for experienced operators, due to many influencing factors, qualitative testing is relatively difficult, and dredging operations have always been in a state of high energy consumption and low output. Therefore, it is particularly important to explore the prediction method of energy consumption in dredging operations. It is parti...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 高腾许焕敏
Owner HOHAI UNIV CHANGZHOU
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