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Construction and recognition method of a loader working condition recognition model

A technology of working condition identification and construction method, which is applied in the direction of character and pattern recognition, construction, computer parts, etc., can solve the problem of low recognition accuracy rate, improve accuracy rate and efficiency, increase accuracy rate, and accurate preprocessing method Effect

Active Publication Date: 2021-06-22
CHANGAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a loader working condition recognition model construction and recognition method to solve the problem of low recognition accuracy of the loader working condition recognition method in the prior art

Method used

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  • Construction and recognition method of a loader working condition recognition model
  • Construction and recognition method of a loader working condition recognition model
  • Construction and recognition method of a loader working condition recognition model

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Embodiment 1

[0031] This embodiment discloses a method for constructing a loader working condition identification model. The method includes the following steps:

[0032] Step 1, collect multiple groups of identification signal data of the loader under different working conditions as the identification signal data set; each group of identification signal data in the identification signal data set corresponds to a working condition label, and obtain the identification working condition label set;

[0033] The working condition of the loader refers to the working condition of the loader under the conditions directly related to its action. Generally, the working condition of the loader includes shoveling, full-load transportation and unloading.

[0034] In this embodiment, the working conditions of the loader are carefully divided to ensure the accuracy of the judgment. The working conditions of the loader include forwarding with no load, digging, retreating with a full load, forwarding with a...

Embodiment 2

[0088] The invention also discloses a loader working condition identification method, the method comprising:

[0089] The working condition recognition model described in Embodiment 1 is used to recognize the signal data to be recognized of the loader that has been processed in Step 1 to Step 3 in Embodiment 1.

[0090]In this embodiment, the signal data to be identified is [loader front axle torque, loader front axle speed, loader rear axle torque, working pump pressure, steering pump pressure, engine speed]=[1450,1280,2870, 8.8, 16.9, 2430], after processing in steps 1-3 of Embodiment 1, the obtained recognition feature set is [front axle torque, rear axle torque, main pump power]=[0.451,0.942,0.287], using After the working condition identification model is identified, the identification result is 2-shoveling.

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Abstract

The invention discloses a method for constructing and identifying a working condition identification model of a loader. First, corresponding sensors are arranged on the loader to collect multi-source signals such as torque, pressure, gear position, braking, etc., and the data is normalized. The floating signal is stripped, the missing values ​​are interpolated and filled, and the collected signal is subjected to noise reduction filtering; secondly, the principal component analysis method is used to select the feature attributes with high contribution from the multi-attribute data of the loader, and The characteristics of the principal components are extracted by statistical analysis method; then, the loader working condition samples are established, and the data mining algorithm of supervised learning is used to establish the correlation mapping between the load signal and the pre-classified working condition mode, which is formed by training a large number of data samples. Working condition identification model; the feature extraction method of principal component analysis is combined with the KNN algorithm, and the distance formula in the KNN algorithm is improved to make it more suitable for working condition identification and improve the accuracy and efficiency of the working condition identification algorithm.

Description

technical field [0001] The invention relates to a working condition recognition method, in particular to a loader working condition recognition model construction and recognition method. Background technique [0002] With the development of my country's economy, the production, sales and inventory of construction vehicles have increased rapidly, and construction machinery has developed extremely rapidly. More than 95% of construction machinery products adopt hydraulic transmission in order to obtain high torque and meet the demand of large inertia loads. Due to the harsh working environment, complex and changeable working conditions, and equipment automation, the degree of informatization is constantly improving. How to ensure the reliability of construction machinery , Efficient operation is a technical problem to be solved urgently at present. In order to solve these problems, it is necessary to analyze the load spectrum of the loader operation, including the extraction of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62E02F9/26
CPCE02F9/26G06F2218/06G06F2218/08G06F18/214
Inventor 张泽宇惠记庄武琳琳雷景媛谷立臣
Owner CHANGAN UNIV
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