Excavator oil consumption prediction method and system and electronic equipment

Abstract

The invention provides an excavator oil consumption prediction method and system and electronic equipment, and relates to the technical field of excavator oil consumption prediction, and the method comprises the steps of firstly obtaining the operation parameters of an excavator, and then obtaining all operation data of the same model as the excavator from a cloud database; determining the correlation between the operation data according to a correlation coefficient equation, and screening out the operation data related to oil consumption; and performing polynomial parameter combination on thescreened operating data related to the oil consumption, taking the polynomial parameter combination meeting the preset oil consumption prediction precision in the polynomial parameter combination determined by the least square method as an excavator oil consumption prediction equation, and finally predicting the oil consumption of the excavator in real time by using the excavator oil consumptionprediction equation. According to the method, in the process of predicting the oil consumption of the excavator, the engine data and the oil consumption data can be coupled as much as possible, and the prediction precision of the oil consumption during nonlinear change is improved by utilizing a nonlinear parameter processing method.

Description

technical field [0001] The invention relates to the technical field of excavator fuel consumption prediction, in particular to an excavator fuel consumption prediction method, system and electronic equipment. Background technique [0002] Fuel consumption control management is very important for excavators with high fuel consumption. The main technology adopted is based on the feedback adjustment matching method of the control system of a single device, and relies on the data sets of various working conditions collected in a short period of time. A fuel consumption model is established, and the fuel consumption data is managed and controlled based on the fuel consumption model. [0003] However, the fuel consumption model used in the existing fuel consumption prediction process has limited parameters used in the construction process, lack of coupling between parameters, and the prediction accuracy of fuel consumption is low when the fuel consumption changes nonlinearly. Co...

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Problems solved by technology

[0003] However, the fuel consumption model used in the existing fuel consumption prediction process has limited parameters used in the construction process, lack of coupling between parameters, and the prediction accuracy of fuel consumption is low when the fuel consumption changes nonlinearly.

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