Early warning and positioning method and system for key process parameters of dimethyl phosphite

A technology of dimethyl phosphite and process parameters is applied in the field of early warning positioning method and system of key process parameters of dimethyl phosphite, which can solve the problem of affecting the monitoring effect of key process parameters, reduce the production efficiency and consumption of dimethyl phosphite. Time-consuming and labor-intensive problems, to achieve the effect of improving prediction accuracy, prolonging production cycle and improving production efficiency

Pending Publication Date: 2021-10-22
ZHEJIANG SUPCON TECH +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In the production process of dimethyl phosphite, the two key process parameters that affect the production efficiency, the esterification reaction temperature and the esterification vacuum degree, are easy to fluctuate due to the influence of working conditions. When fluctuations occur, at this stage, usually through mechanism modeling or Analyzing the cause of abnormal positioning by manual judgment has the problems of time-consuming, labor-intensive, and complex modeling, which affects the monitoring effect of key process parameters, thereby reducing the production efficiency of dimethyl phosphite

Method used

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  • Early warning and positioning method and system for key process parameters of dimethyl phosphite
  • Early warning and positioning method and system for key process parameters of dimethyl phosphite
  • Early warning and positioning method and system for key process parameters of dimethyl phosphite

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Embodiment 1

[0056] Such as figure 1 As shown, the present invention proposes a kind of early warning positioning method of dimethyl phosphite key process parameter, comprising:

[0057] S1: Select equipment that affects the two key process parameters of esterification reaction temperature and esterification vacuum degree, and collect historical data based on the associated bit number of the selected equipment on the dimethyl phosphite production line;

[0058] S2: Perform data cleaning on the collected historical data;

[0059] S3: Divide the working conditions according to the historical data after cleaning, and save the historical data under different working conditions in the sample library;

[0060] S4: Establish a sequential machine learning model, and train the sequential machine learning model according to the sample library;

[0061] S5: Predict the esterification reaction temperature and esterification vacuum degree through the trained sequential machine learning model, analyze...

Embodiment 2

[0100] Such as figure 2 As shown, the present embodiment proposes an early warning positioning system 6 of key process parameters of dimethyl phosphite, including:

[0101] Acquisition module 61: used to select equipment that affects the two key process parameters of esterification reaction temperature and esterification vacuum degree, and collect historical data based on the associated bit number of the selected equipment on the dimethyl phosphite production line;

[0102] Preprocessing module 62: used for data cleaning of the collected historical data;

[0103] Sample library module 63: used to divide the working conditions according to the historical data after cleaning, and save the historical data under different working conditions in the sample library;

[0104] Training module 64: used to establish a sequential machine learning model, and train the sequential machine learning model according to the sample library;

[0105] Early warning module 65: used to predict the...

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Abstract

The invention provides an early warning and positioning method and system for key process parameters of dimethyl phosphite, and the method comprises the steps: selecting equipment which affects two key process parameters, namely esterification reaction temperature and esterification vacuum degree, and collecting historical data based on the associated position number of the selected equipment on a dimethyl phosphite production line; performing data cleaning on the collected historical data; dividing working conditions according to the cleaned historical data, and storing the historical data under different working conditions into a sample library; establishing a sequential machine learning model, and training the sequential machine learning model according to the sample library; predicting the esterification reaction temperature and the esterification vacuum degree through the trained sequential machine learning model, analyzing the esterification reaction temperature and the esterification vacuum degree according to prediction results, and generating an early warning prompt. According to the method, the time sequence machine learning model with learning capability can be constructed by rapidly utilizing historical data, and the problems of long time consumption, complex modeling process and the like in a mechanism modeling process are solved.

Description

technical field [0001] The invention belongs to the field of chemical production control, and in particular relates to an early warning and positioning method and system for key process parameters of dimethyl phosphite. Background technique [0002] Dimethyl phosphite is an important organic chemical synthesis raw material and intermediate, widely used in the preparation industry of organic phosphonic acid corrosion inhibitors, synthetic plastic additives, dye additives, combustion enhancers and pesticides. In the production process of dimethyl phosphite, the two key process parameters that affect the production efficiency, the esterification reaction temperature and the esterification vacuum degree, are easy to fluctuate due to the influence of working conditions. When fluctuations occur, at this stage, usually through mechanism modeling or Analyzing and locating the cause of abnormality by manual judgment has the problems of time-consuming, labor-intensive, and complex mod...

Claims

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Application Information

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IPC IPC(8): G16C20/10G16C20/70G16C20/90G06F16/215G06N3/04
CPCG16C20/10G16C20/70G16C20/90G06F16/215G06N3/044Y02P90/02
Inventor 马晓华吴玉成张扬楼云霄
Owner ZHEJIANG SUPCON TECH
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