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Energy consumption anomaly positioning method based on sensitivity analysis and improved negative selection method

A technique of sensitivity analysis and negative selection, which is applied in the direction of registering/indicating machine work, resources, registering/instructing, etc., and can solve the problems of abnormal internal friction of hydraulic presses that are difficult to locate accurately

Active Publication Date: 2020-03-27
GUANGDONG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the abnormal internal friction of the hydraulic press is difficult to locate accurately, the present invention provides a method for locating abnormal energy consumption based on sensitivity analysis and improved negative selection method

Method used

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  • Energy consumption anomaly positioning method based on sensitivity analysis and improved negative selection method
  • Energy consumption anomaly positioning method based on sensitivity analysis and improved negative selection method
  • Energy consumption anomaly positioning method based on sensitivity analysis and improved negative selection method

Examples

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Effect test

Embodiment 1

[0097] This embodiment 1 provides a method for locating abnormal energy consumption based on sensitivity analysis and improved negative selection method, such as figure 1 shown, including the following steps:

[0098] S1. Collect the energy consumption data of each energy consumption influencing factor of the hydraulic press, and use the global sensitivity analysis method to quantitatively analyze the influencing factors of energy consumption, and calculate the main influencing factors of the hydraulic press energy consumption; specifically include the following steps:

[0099] Given the change interval and probability distribution of each energy consumption factor, the collected energy consumption data is input into the energy consumption model of the hydraulic press and the corresponding sensitivity index is calculated by using the global sensitivity analysis method:

[0100] The energy consumption model of the hydraulic press is expressed as Y=f(X), X=f(x 1 ,x 2 ,...,x p...

Embodiment 2

[0171] In order to verify the effectiveness of the abnormal energy consumption positioning method proposed in Example 1, this Example 2 uses the energy consumption data of the SY-1000Ton extruder in the extrusion workshop of an aluminum profile enterprise for verification.

[0172] 1. Collect the energy consumption data under various energy consumption influencing factors of the hydraulic press, and use the global sensitivity analysis method to quantitatively analyze the influencing factors of energy consumption, and calculate the main influencing factors of the hydraulic press energy consumption.

[0173] The energy consumption data and main energy consumption factors of extruded aluminum profiles per ton in May-June 2019 were collected from the energy management system database. The simulation experiment operating environment used in the verification is: Win10 system, Intel Core i7, CPU3.60GHz, memory 8.0GB, MATLAB R2018a.

[0174] When using the global sensitivity analysis ...

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Abstract

The invention discloses an energy consumption abnormity positioning method based on sensitivity analysis and an improved negative selection method, and the method comprises the steps: collecting the energy consumption data of a hydraulic machine under each energy consumption influence factor, carrying out the quantitative analysis of the energy consumption influence factors through employing a global sensitivity analysis method, and calculating the main influence factors of the energy consumption of the hydraulic machine; setting corresponding labels for the abnormal energy consumption data according to main influence factors, and performing data preprocessing; activating a matched detector by adopting the training set energy consumption data and marking a corresponding abnormal mode for the detector to generate a classifier set; wherein the abnormal mode corresponds to different energy consumption main influence factors; optimizing the classifier set by adopting a simulated annealingalgorithm; and carrying out energy consumption anomaly positioning on the energy consumption data of the test set by utilizing the optimized classifier set. According to the invention, whether the mode abnormality exists in the energy consumption data can be detected, and the type of the mode abnormality can be identified, so that the positioning function of the energy consumption abnormality is realized.

Description

technical field [0001] The invention relates to the technical field of abnormal energy consumption positioning of hydraulic presses, in particular to an abnormal energy consumption positioning method based on sensitivity analysis and improved negative selection method. Background technique [0002] There is a large amount of abnormal energy consumption in the operation of hydraulic presses, which leads to a large amount of energy loss, reduces the efficiency of mechanical energy, increases maintenance costs, and even leads to downtime and unpredictable safety accidents. The production conditions of hydraulic presses are complex and run at full load for a long time. Therefore, the probability of abnormal energy consumption is high, but it is difficult to identify the hydraulic extrusion parts that cause abnormal energy consumption. When the energy consumption of the hydraulic press is abnormal, it will lead to a large amount of energy loss, reduce the efficiency of mechanica...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06K9/62G07C3/00
CPCG06Q10/0639G07C3/005G06F18/24Y02P90/82
Inventor 徐康康杨海东印四华朱成就
Owner GUANGDONG UNIV OF TECH
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