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Online dynamic forecast method for polypropylene fusion index

A melt index and polypropylene technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as difficulty in online operation, poor practicability, and complicated operation

Active Publication Date: 2012-09-12
平湖乾丰机械有限公司
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Problems solved by technology

[0003] In order to overcome the disadvantages of complicated operation, difficult online operation and poor practicability of the existing methods for on-line prediction of polypropylene melt index, the present invention provides an online dynamic prediction of the melt index of polypropylene equipment with simple design, easy on-line operation and strong practicability method

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  • Online dynamic forecast method for polypropylene fusion index
  • Online dynamic forecast method for polypropylene fusion index
  • Online dynamic forecast method for polypropylene fusion index

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] An online dynamic forecasting method for polypropylene melt index, said forecasting method comprising the steps of:

[0046] 1), establish the parameter model structure of the Q-order discrete form of the polypropylene melt index, see formula (1):

[0047]

[0048]

[0049]

[0050]

[0051] Wherein, the positive integer Q is the order of the model formula (1); b 0 (k) is an unknown parameter, which is obtained by identification and calculation of step 3) of this step; y(k) is the polypropylene melt index at the kth moment; u 1 (k-d) and u 2 (k-d) represent respectively the ratio of the hydrogen input amount of the k-d moment polymerization unit 1# pipe and the ratio of the propylene input amount and the polymerization reaction temperature; u 3 (k-d) and u 4 (k-d) represent respectively the ratio of the hydrogen input amount of the 2# pipe of the...

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Abstract

The invention discloses an online dynamic forecast method for polypropylene fusion index. The method comprises the steps of starting a prepared fusion index online forecast program through clicking a button on an industrial control computer configuration interface, and, based on a dynamic forecast mathematical model for the whole flow process polypropylene fusion index and in combination with the fading memory augmentation least square method, realizing the online forecast of the polypropylene fusion index. The most important characteristic of the method is that in the state of continuous production of a polymerisation device by online measurement and calculation of the input flow-rate ratio of hydrogen and propylene and polymerization temperature, the fusion index of polypropylene resin can be online forecasted in a very wide range, so the method has the advantages of being simple and effective, easy to implement and low in cost. Through use of the method, detection frequency and efficiency of critical quality of polypropylene are greatly improved, discharging of unqualified products can be reduced and production and economic efficiency and market competitiveness can be increased.

Description

technical field [0001] The invention relates to a design method for online dynamic prediction of polypropylene melt index. Background technique [0002] Polypropylene resin is a kind of general-purpose synthetic resin material mainly polymerized from propylene monomer, which plays an important role in the development of national economy and people's daily life. Usually, the melt index is used as the quality index of polypropylene products, and it is strictly controlled by manual sampling and testing every 2 hours in industrial production. However, in order to produce high-quality polypropylene products and pursue high economic benefits for enterprises, polypropylene plants need to conduct on-line product quality control, that is, to realize on-line measurement and control of melt index. However, as a multi-input and multi-output strongly nonlinear polymerization production process with a large number of parameters coupled with each other, the traditional modeling and measur...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 何德峰俞立宋秀兰
Owner 平湖乾丰机械有限公司
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