DPF carbon load prediction method and device based on XGBOOST algorithm and storage medium

A prediction method and carbon loading technology, applied in computing, computer parts, special data processing applications, etc., can solve problems affecting engine power, exhaust back pressure, etc., and achieve the effect of high accuracy and fast calculation speed

Pending Publication Date: 2022-02-15
天津布尔科技有限公司
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Problems solved by technology

The black smoke (carbon particles) collected in the particle filter is increasing, which will slowly lead to high exhaust back pressure and affect the power of the engine

Method used

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  • DPF carbon load prediction method and device based on XGBOOST algorithm and storage medium
  • DPF carbon load prediction method and device based on XGBOOST algorithm and storage medium

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Embodiment Construction

[0024] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, but not all of them. Based on the embodiments in the present application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present application.

[0025] For ease of understanding, a detailed introduction of a DPF carbon load prediction method, device and storage medium based on the XGBOOST algorithm provided by the embodiment of the present application is given below, see figure 1 , a DPF carbon load prediction method based on the XGBOOST algorithm includes the following steps: ...

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Abstract

The invention relates to a DPF carbon load prediction method and device based on an XGBOOST algorithm and a storage medium. The method comprises the following steps: collecting state data of an engine, wherein the state data comprises carbon load, engine oil pressure, accumulated mileage and accumulated fuel consumption; calculating a mean value, a variance and skewness of the carbon load, and kurtosis of the engine oil pressure in a preset time interval before each historical moment and a logarithm value of the accumulated fuel consumption and a logarithm value of the accumulated mileage at each historical moment, and generating a sample data set according to calculation results; dividing the sample data set into a training set and a test set, training an XGBOOST algorithm model by using the training set, and testing prediction performance of the XGBOOST algorithm model by using the test set to obtain a DPF carbon load prediction model; and according to the state data and the DPF carbon load prediction model, predicting carbon load of the engine at the current moment and at the future moment. According to the method, carbon load of an engine at the future moment can be predicted in advance, so that stop timing is reasonably arranged for active DPF regeneration or ash removal.

Description

technical field [0001] The present application relates to the technical field of diesel vehicle emission monitoring, in particular to a DPF carbon load prediction method, device and storage medium based on the XGBOOST algorithm. Background technique [0002] Part of the air pollution comes from diesel vehicles. The pollutants of diesel engines mainly include particulate matter and nitrogen oxides. Among them, the post-processor of diesel engines mainly controls particulate matter through DPF. DPF is a physical filter. , It will cause the DPF to become clogged and lose its function. After the DPF is clogged, it needs to be cleaned to restore its function. This process is also called "DPF regeneration". [0003] Installing a particle filter (DPF) on a diesel engine to trap particles and burn them at an appropriate time (when the carbon load reaches a certain threshold) to achieve regeneration is an important technical approach to reduce particle emissions from diesel engines. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06K9/62
CPCG06F30/20G06F18/214
Inventor 闫方超李亦硕任进
Owner 天津布尔科技有限公司
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