Diesel engine lubricating oil feeding security parameter prediction method based on grey theory

Abstract

The invention relates to a diesel engine lubricating oil feeding security parameter prediction method based on a grey theory, which belongs to the technical field of diesel engine safety prediction. The method comprises the steps of firstly collecting the operation data of the diesel engine lubricating oil feeding pressure and temperature, and carrying out the Kalman filtering of the operation data, then, according to the modeling steps of the grey prediction model, achieving the prediction function of diesel engine operation data and acquiring a prediction result, checking the grey predictionmodel by using a relative error checking method, optimizing the grey model by using a residual error method if the grey prediction model does not meet the fourth-level checking index until the grey model meets the fourth-level and higher-level indexes, and outputting accurate prediction data, and on the basis that the relative error of the prediction data is verified to be qualified, performing logic discrimination on the prediction result and a diesel engine alarm threshold, and outputting a prediction state result to an upper computer. According to the method, the change trend of the dieselengine lubricating oil feeding parameters can be effectively predicted, and the future working state of the diesel engine lubricating oil system is reasonably predicted.

Description

technical field [0001] The invention relates to the technical field of diesel engine safety prediction, and relates to a method for predicting safety parameters of lubricating oil entering the diesel engine based on gray theory. Background technique [0002] With the rapid development of industrialization in today's society, diesel engines, as the most commonly used power machinery equipment, are widely used in fields such as petroleum mines, stationary power generation, railway traction, construction machinery and special ships, and diesel engines are increasingly large-scale and high-speed. , the direction of precision development, the work performance is continuously improved, and the degree of automation is getting higher and higher. On the one hand, the use of advanced diesel engines will greatly increase labor productivity, improve product quality, reduce production costs and energy consumption; but on the other hand, the problem of safe operation of diesel engines is ...

AI Technical Summary

Problems solved by technology

The main control module judges the detection signal through the alarm threshold, and if the detection signal exceeds the alarm threshold, the main control module sends a stop signal to the diesel engine, and sends an alarm to the diesel engine through the remote control box. If the detection signal does not exceed the alarm threshold, then no action is taken.” The disadvantage is that the strategy adopted by the security system is to set a single threshold for real-time data, which can be detected and shut down only after the equipment exceeds the limit. Handling, still can cause huge damage to the diesel engine

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