BP neural network-based chlorinated paraffin chlorinity indirect detection method

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: 2015-12-16
ANHUI XINGXIN CHEM TECH +1
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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

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  • BP neural network-based chlorinated paraffin chlorinity indirect detection method
  • BP neural network-based chlorinated paraffin chlorinity indirect detection method
  • BP neural network-based chlorinated paraffin chlorinity indirect detection method

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Embodiment Construction

[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 relationship between input and output. From the basic principle of BP algorithm and BP theorem, it can be known that when the number of neurons in the hidden layer is large enough, a BP network with a three-layer structure can approximate any nonlinear function with finite discontinuity points with arbitrary precision. Therefore, using sufficient known data to repeatedly train the neural network until the training error is less than the preset value is equivalent to obtaining the functional expressions of the chlorine content and density, heating loss, chromaticity, and viscosity of chlorinated paraffin. Such as figure 2 As shown, after the arti...

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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

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Application Information

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Patent Type & Authority Applications(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
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