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Method for forecasting amount of fresh gas entering tower based on temperature of catalyst

A fresh gas and catalyst technology, applied in chemical instruments and methods, forecasting, inorganic chemistry, etc., can solve problems such as difficult to express analytical formulas, difficult to optimize online production, and many influencing factors, so as to reduce labor intensity and improve worker efficiency. Work environment, cost reduction effects

Inactive Publication Date: 2022-03-01
上海帆阳信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main reason is: due to the complex production mechanism of synthetic ammonia and many influencing factors, the production process involves a series of chemical reactions, heat transfer, mass transfer and fluid flow. Many reaction process mechanisms are complicated, some are not clear, and it is difficult to express them as definite analytical formulas
In addition, the principle-based model method has a large computational workload, and it is difficult to achieve online production optimization, and it is difficult to conduct quantitative research on production mechanisms and find optimization laws

Method used

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  • Method for forecasting amount of fresh gas entering tower based on temperature of catalyst
  • Method for forecasting amount of fresh gas entering tower based on temperature of catalyst

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Example 1: Collect 284 synthetic ammonia production data, and establish a rapid prediction model for the amount of fresh gas entering the tower based on the catalyst temperature data. The modeling results are as follows figure 1 shown.

[0029] Depend on figure 1 It can be seen that based on the catalyst temperature data, a rapid forecasting model for the amount of fresh gas entering the tower is established, and the correlation coefficient between the amount of fresh gas entering the tower calculated by the model and the actual amount of fresh gas entering the tower for synthetic ammonia production reaches 0.89, indicating that the model has relatively high accuracy. sex.

Embodiment 2

[0030] Example 2: Collect 71 synthetic ammonia production data, and establish a rapid prediction model for the amount of fresh gas entering the tower based on the catalyst temperature data. The prediction results are as follows figure 2 shown.

[0031] Depend on figure 2 It can be seen that based on the catalyst temperature data, a rapid prediction model for the amount of fresh gas entering the tower is established, and the correlation coefficient between the amount of fresh gas entering the tower predicted by the model and the amount of fresh gas entering the tower actually detected by the production of synthetic ammonia reaches 0.82, which shows that the model is also useful for unknown predictions. Relatively high accuracy.

[0032] 71 new synthetic ammonia production samples were collected, and their basic data, intermediate parameters and forecast results are shown in Table 3.

[0033] Catalyst temperature 1 Catalyst temperature 2 Catalyst temperature 3 ...

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Abstract

The invention discloses a method for forecasting the amount of fresh gas entering a tower based on the temperature of a catalyst, due to continuous increase of world population, people have more and more demands on grains, and the synthesis ammonia industry serving as one of important factors for increasing the yield of the grains certainly plays a unique role in the future. A production distributed control system is generally adopted on an ammonia synthesis device, rich production data is accumulated, and possibility is provided for production optimization. The running condition of the catalyst in the synthesis ammonia production has direct influence on the production yield. A plurality of catalyst temperatures detected in real time are used as independent variables, the tower-entering fresh air quantity is used as a dependent variable, and a data mining algorithm is used for trying to establish a tower-entering fresh air quantity quantitative forecasting model based on a plurality of monitoring temperatures of the catalyst, so that real-time monitoring of the tower-entering fresh air quantity is realized, scientific guidance is provided for production, and production optimization is completed.

Description

technical field [0001] The invention relates to output detection in the production process of synthetic ammonia, in particular to a method for predicting the amount of fresh gas entering a tower based on catalyst temperature. Background technique [0002] As we all know, ammonia is an important basic chemical product, which is widely used in agriculture, dyes, explosives, pharmaceuticals, synthetic fibers, and synthetic resins. Due to the continuous increase of the world population, human beings have more and more demands for food. As one of the important factors of increasing food production, the ammonia industry will definitely play its unique role in the future. The ammonia synthesis unit is a key section of the ammonia synthesis industry. In order to achieve energy saving and increase production, in addition to improving the process flow and equipment structure, it is a very important way to strive to improve the process control level and operation management level of th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16C10/00G16C20/10G06Q10/04G06Q10/06G06Q50/04C01C1/04
CPCG16C10/00G16C20/10G06Q10/04G06Q10/067G06Q50/04C01C1/0405Y02P20/52Y02P90/30
Inventor 吴治富朱峰刘振昌刘太昂周晶晶周央刘远刘婷婷朱鲁阳刘太行
Owner 上海帆阳信息科技有限公司