Unlock instant, AI-driven research and patent intelligence for your innovation.

Propylene polymerization production process optimal prediction system based on multimode crowd-sourcing and method

A technology for forecasting systems and production processes, applied in manufacturing computing systems, forecasting, biological neural network models, etc., can solve problems such as being easily affected by human factors and low measurement accuracy

Inactive Publication Date: 2014-05-28
ZHEJIANG UNIV
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of the current existing propylene polymerization production process, such as low measurement accuracy and being easily affected by human factors, the purpose of the present invention is to provide an online measurement, online parameter optimization, fast forecasting speed, automatic model update, anti-interference A multi-mode group intelligence-based system and method for optimal prediction of melt index in the production process of propylene polymerization with strong capability and high precision

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
  • Propylene polymerization production process optimal prediction system based on multimode crowd-sourcing and method
  • Propylene polymerization production process optimal prediction system based on multimode crowd-sourcing and method
  • Propylene polymerization production process optimal prediction system based on multimode crowd-sourcing and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] 1. refer to figure 1 , figure 2 and image 3 , an optimal forecasting system for propylene polymerization production process based on multi-mode group intelligence, including propylene polymerization production process 1, on-site intelligent instrument 2 for measuring easy-to-measure variables, control station 3 for measuring operating variables, and data storage DCS database 4, optimal forecast system 5 based on multi-mode group intelligence and melt index forecast value display instrument 6, the on-site intelligent instrument 2, the control station 3 are connected with the propylene polymerization production process 1, the on-site intelligent instrument 2, the control station The station 3 is connected with the DCS database 4, the DCS database 4 is connected with the input end of the optimal forecasting system 5 based on multi-mode group intelligence, and the output end of the optimal forecast system 5 based on the multi-mode group intelligence is connected with th...

Embodiment 2

[0123] 1. refer to figure 1 , figure 2 and image 3 , an optimal forecasting method for propylene polymerization production process based on multi-modal crowd intelligence includes the following steps:

[0124] (1) For the propylene polymerization production process object, according to the process analysis and operation analysis, the operational variables and easily measurable variables are selected as the input of the model, and the operational variables and easily measurable variables are obtained from the DCS database;

[0125] (2) Preprocess the sample data, center the input variables, that is, subtract the average value of the variables; and then perform normalization processing, that is, divide by the change interval of the variable value;

[0126] (3) The PCA principal component analysis module is used to pre-whiten the input variables and de-correlate the variables. It is realized by applying a linear transformation to the input variables, that is, the principal c...

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 propylene polymerization production process optimal prediction system based on multimode crowd-sourcing. The system comprises a propylene polymerization production process, a field intelligent instrument, a control station, a DCS database which stores data, an optimal prediction system based on multimode crowd-sourcing and a melt index prediction value display instrument. The field intelligent instrument and the control station are connected with the propylene polymerization production process, and are connected with the DCS database. The optimal prediction system is connected with the DCS database and the melt index prediction value display instrument. The optimal prediction system based on multimode crowd-sourcing comprises a model updating module, a data preprocessing module, a PCA principal component analysis module and a multimode crowd-sourcing optimization module. The invention further provides a prediction method which is realized by using the prediction system. According to the invention, online measurement and online parameter optimization are realized, and the method and the system have the advantages of quick prediction, automatic model update, strong anti-interference ability and high precision.

Description

technical field [0001] The invention relates to an optimal forecasting system and method, in particular to an optimal forecasting system and method for propylene polymerization production process based on multi-mode group intelligence. Background technique [0002] Polypropylene is a thermoplastic resin produced by propylene polymerization. The most important downstream product of propylene, 50% of the world's propylene and 65% of my country's propylene are used to make polypropylene. It is one of the five general-purpose plastics. are closely related to daily life. Polypropylene is the fastest growing general-purpose thermoplastic resin in the world, second only to polyethylene and polyvinyl chloride in total. In order to make my country's polypropylene products have market competitiveness, develop impact copolymer products, random copolymer products, BOPP and CPP film materials, fibers, and non-woven fabrics with good balance of rigidity, toughness, and fluidity, and devel...

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 Applications(China)
IPC IPC(8): G06Q10/04G06Q50/04G06N3/02
CPCY02P90/30
Inventor 刘兴高赵成业李九宝周叶翔张志猛
Owner ZHEJIANG UNIV