Oil temperature prediction method and device, electronic equipment and storage medium

Abstract

The invention provides an oil temperature prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: inputting operation data into an oil temperature prediction model, and obtaining an oil temperature prediction result outputted by the oil temperature prediction model; wherein the oil temperature prediction model is obtained by training based on sample operation data and a sample oil temperature prediction result; and the oil temperature prediction model is used for fusing the prediction result output by a regression model and the prediction result output by a recurrent neural network model so as to determine an oil temperature prediction result. According to the method, the regression model and the recurrent neural network model are combined to determine the oil temperature prediction result, so that deviation caused by a traditional single machine learning model can be avoided, the oil temperature prediction result is accurately obtained, and the robustness is high.

Description

technical field [0001] The invention relates to the technical field of hydraulic system monitoring, in particular to an oil temperature prediction method, device, electronic equipment and storage medium. Background technique [0002] Hydraulic oil is the hydraulic medium used in hydraulic systems that utilize liquid pressure energy. It plays the roles of energy transmission, anti-wear, system lubrication, anti-corrosion, anti-rust, cooling, etc. in the hydraulic system. If the hydraulic oil temperature is too high, it will affect the normal operation of the equipment, and even cause thermal deformation of the equipment, which will lead to partial failure of the equipment. [0003] At present, machine learning models are mostly used to predict hydraulic oil temperature, so that the situation of excessively high hydraulic oil temperature can be controlled in advance to ensure the normal and stable operation of the hydraulic system. However, the trained machine learning models ...

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Problems solved by technology

[0004] The invention provides an oil temperature prediction method, device, electronic equipment and storage medium to solve the defect of low accuracy of oil temperature prediction results in the prior art

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