Indirect detection method of chlorine content in chlorinated paraffin based on bp neural network

A BP neural network, chlorinated paraffin technology, applied in the direction of biological neural network models, measuring devices, instruments, etc., can solve problems such as troublesome methods

Active Publication Date: 2017-06-27
ANHUI XINGXIN CHEM TECH +1
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The problem with this method is that waste acid needs to be treated (adding excess sulfide to precipitate mercury, oxidizing excess sodium sulfide with hydrogen peroxide, preventing mercury from dissolving in the form of polysulfide)
The method is cumbersome, and a special person must be responsible for the recovery of mercury

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Indirect detection method of chlorine content in chlorinated paraffin based on bp neural network
  • Indirect detection method of chlorine content in chlorinated paraffin based on bp neural network
  • Indirect detection method of chlorine content in chlorinated paraffin based on bp neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] Such as figure 1 As shown, the present invention establishes a three-layer BP artificial neural network prediction model with a certain algorithm by collecting several physical quantities that are easier to directly measure such as density, chroma, viscosity and heating loss of chlorinated paraffin products. The artificial neural network program is written on the computer using matlab language. And the artificial neural network training set was established by sampling and measuring the density, heating loss, chromaticity, viscosity and chlorine content of a series of chlorinated paraffin products in advance. As shown in Table 1.

[0050] Table 1 BP neural network training set

[0051]

[0052] The prepared artificial neural network is trained with density, heating loss, chromaticity, and viscosity as the input data set, and the chlorine content is used as the output data set, and the network parameters are continuously adjusted to establish a good mapping relations...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a BP neural network-based algorithm model-based chlorinated paraffin chlorinity indirect detection method. The method comprises carrying out sampling measurement on densities, heating losses, chroma values, viscosities and chlorinities of a series of chlorinated paraffin products, building an artificial neural network training set by the measurement results, carrying out training on the written artificial neural network by density, heating loss, chroma and viscosity as an input data set and chlorinity as an output data set, and continuously adjusting network parameters so that a good mapping relationship of the input and output is built. When the network training result reaches the standard, a function expression of chlorinity, heating loss, chroma and viscosity of chlorinated paraffin is obtained. Through measurement of density, chroma, viscosity and heating loss of a chlorinated paraffin product with unknown chlorinity, chlorinity of the chlorinated paraffin product is determined indirectly. Through indirect determination of chlorinated paraffin chlorinity by combination of easily determined physical quantity determination and an artificial neural network, complicated pretreatment processes of the traditional determination method such as mercurimetry are effectively avoided, treatment and recovery of the determined waste liquid is avoided and damage to the environment is reduced.

Description

technical field [0001] The invention relates to a method for indirect detection of the total chlorine content in chlorinated paraffin, in particular to a method for indirect determination of the total chlorine content by measuring other physical quantities closely related to the total chlorine content in the chlorinated paraffin. Background technique [0002] Chlorinated paraffins are C 10 —C 30 Chlorinated derivatives of n-alkanes with the general formula C n h 2n+2-x Cl x , where n is the average number of carbon atoms, and x is the average number of chlorine atoms. The industrial products of chlorinated paraffin are often named after the chlorine content. The main varieties are chlorine wax-42, chlorine wax-52, and chlorine wax-70. It is often used as auxiliary plasticizer, flame retardant, lubricating oil additive, leather fatliquoring agent, etc. Chlorine content is the most important item in product technical indicators, which determines the performance and use of...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/00G06N3/02
Inventor 傅应强王西弱王西宇王文本
Owner ANHUI XINGXIN CHEM TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap