Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Phenol cracking parameter automatic optimization method and device based on artificial intelligence

An automatic optimization and artificial intelligence technology, applied in the field of neural network models, can solve the problems of rare optimization of phenol cracking process, difficult to predict control, etc., and achieve stable yield, controllable parameters, and improved yield and purity. Effect

Pending Publication Date: 2021-04-09
绍兴数鸿科技有限公司
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] At present, few people use artificial intelligence in the optimization of chemical process parameters, especially the optimization of phenol cracking process
In the phenol cracking process, the adjustment of the transition process between devices is based on experience, it is difficult to describe it with a more accurate mathematical model, and it is also difficult to achieve control with predictive control based on a pure mathematical model, so it is impossible to use automatic control to solve this problem. Pain points

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
  • Phenol cracking parameter automatic optimization method and device based on artificial intelligence
  • Phenol cracking parameter automatic optimization method and device based on artificial intelligence
  • Phenol cracking parameter automatic optimization method and device based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0072] The phenol cracking process in the present embodiment is the cumene method. like figure 2As shown, in the reactor of this process, multiple DSPs are deployed at the gate of the parameter control equipment for data collection. Then the data is sent to the AI ​​server, and the parameters are optimized by the AI ​​server. The data aggregation layer, AI learning layer, optimization parameter output layer and parameter verification layer are set in the AI ​​server. The data aggregation layer is used to process the input data, the AI ​​learning layer is used for the construction and training of the neural network, the parameter optimization output layer is used for purity optimization, and the parameter verification layer is used for manual verification of parameters. DSP output, and finally adjust the process parameters. The artificial intelligence-based automatic optimization method of phenol cracking parameters adopted by the server is specifically as described in S1-S5...

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 phenol cracking parameter automatic optimization method and device based on artificial intelligence, and belongs to the field of neural network models. According to the invention, artificial intelligence is combined with the control process of the traditional chemical process, and the difficulties and pain points in the chemical process are solved with the advantages of emerging artificial intelligence. According to the method, the artificial intelligence technology is combined, many problems in the phenol cracking process are solved in a targeted mode, the yield and purity of the target compound can be improved while the stability of the cracking process is improved, and the income is greatly increased.

Description

technical field [0001] The invention belongs to the field of neural network models, in particular to a method and device for automatically optimizing phenol cracking parameters based on artificial intelligence. Background technique [0002] At present, artificial intelligence has been successfully applied in many fields, including the chemical industry. A number of strong industrial enterprises are taking artificial intelligence technology as the core direction to formulate their own related products and solutions for the implementation of pilot projects. [0003] The deep learning system in artificial intelligence has powerful feature extraction capabilities, and can handle complex, high-dimensional, and nonlinear problems through cutting-edge technologies such as convolutional neural networks. At present, the application in the chemical industry mainly focuses on molecular performance prediction and drug molecular screening etc. direction. [0004] Too many variables in ...

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
IPC IPC(8): G16C20/10G06N3/04G06N3/08
CPCG16C20/10G06N3/08G06N3/045
Inventor 李万清林永杰魏志浩刘俊袁友伟
Owner 绍兴数鸿科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com