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Solid ash traceability prediction method based on machine learning

A technology of machine learning and forecasting methods, applied in machine learning, forecasting, instruments, etc., can solve problems such as underutilization, consumption of manpower and material resources

Inactive Publication Date: 2022-04-29
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because of the particularity of solid ash from different sources, a lot of experimental research is required before tracing the source, which consumes a lot of manpower and material resources
At the same time, the existing experimental data for specific solid ash slag is continuously accumulated, but has not been fully utilized

Method used

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  • Solid ash traceability prediction method based on machine learning
  • Solid ash traceability prediction method based on machine learning
  • Solid ash traceability prediction method based on machine learning

Examples

Experimental program
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Effect test

Embodiment 1

[0033] Such as figure 1 As shown, the present embodiment provides a method for predicting the source of solid ash based on machine learning, which includes the following steps:

[0034] P1: Collect the proportioning data of solid ash composition content from known sources as the data set of the machine learning model;

[0035] Step P1 specifically includes the following steps:

[0036] P11: Obtain solid ash samples;

[0037] P12: Determine the composition and properties of solid ash from different sources, including but not limited to solubility, density, loss on ignition, chloride ion content, moisture content, specific surface area, and oxide content.

[0038] P2: Dataset preprocessing;

[0039] Step P2 specifically includes the following steps:

[0040] P21: Standardize the data; the data standardization methods include but are not limited to range standardization, linear ratio standardization, Z-score standardization;

[0041] P22: Divide the standardized data set int...

Embodiment 2

[0058] Example: Taking municipal solid waste bottom ash, municipal solid waste fly ash, fly ash, and sludge fly ash as examples, through a method of using machine learning to trace the source of solid ash, solid ash The slag traceability prediction will be described in detail below.

[0059]This embodiment provides a method for traceability and prediction based on the composition of solid ash and slag by using machine learning, including the following steps P1-P4.

[0060] P1: Collect solid ash related data as a data set for machine learning models.

[0061] Specifically, it includes: a total of 310 samples of four types of solid ash, including municipal solid waste bottom ash, municipal solid waste fly ash, fly ash, and sludge fly ash, were collected from municipal waste incineration plants and coal-fired power plants. The physical and chemical properties of solid ash and slag were analyzed separately, and the contents of several oxides were selected as the data set to be an...

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Abstract

The invention relates to the technical field of solid ash utilization, in particular to a solid ash traceability prediction method based on machine learning, which comprises the following steps of: P1, collecting solid ash data as a data set of a machine learning model; p2, preprocessing the data set; p3, learning training data by using a machine and establishing a solid ash traceability prediction model; and P4: according to the model, predicting the solid ash of an unknown source, and obtaining a final prediction result as a tracing result of the solid ash. According to the invention, the solid ash can be traced rapidly and accurately.

Description

technical field [0001] The invention relates to the technical field of solid ash utilization, in particular to a machine learning-based method for tracing and predicting the source of solid ash. Background technique [0002] With the continuous improvement of my country's economic level, environmental problems have become increasingly prominent. In 2017, the state revised the Air Pollution Prevention and Control Law and put forward new requirements for environmental governance, and solid ash management is crucial to environmental governance. In recent years, the comprehensive utilization of solid ash has attracted more and more attention, which can not only reduce the land occupation, but also alleviate the pollution caused by it to the ecological environment, and can also create considerable economic benefits. Because solid ash has special physical and chemical properties and is rich in various useful components, it is widely used in the fields of extraction of useful compo...

Claims

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Application Information

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IPC IPC(8): G06N20/00G06N3/00G06Q10/04G06Q50/26
CPCG06N20/00G06N3/006G06Q10/04G06Q50/26
Inventor 齐冲冲郑佳帅武梦婷陈秋松郭力冯岩
Owner CENT SOUTH UNIV
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