Method for optimizing reaction conditions of hydrocracking process
A technology of hydrocracking and cracking reaction, which is applied in chemical process analysis/design, special data processing applications, instruments, etc. It can solve problems such as inability to guarantee hydrocracking equipment, avoid interference, enhance accuracy, and simplify the processing process Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0069] see image 3 As shown, in the above step S1, the operation data of the refining reaction section of the hydrocracking process is preprocessed, and the specific method for obtaining the steady-state operation data is as follows:
[0070] S11, using the K-mean clustering algorithm to automatically remove outliers in the process operation data;
[0071] S12. According to the different characteristics of the signal and the noise at different time scales, use wavelet denoising technology to remove the noise in the process operation data.
[0072] The K-mean clustering algorithm is used to automatically remove the outliers in the process operation data of the refining reaction section of the hydrocracking process, so as to avoid the interference of abnormal data on the model construction.
[0073] The noise-containing process operation data in the refining reaction section of the hydrocracking process can be eliminated according to the principle that the signal and noise pre...
Embodiment 2
[0119] see Image 6 As shown, in the above step S1, the operation data of the cracking reaction section of the hydrocracking process is preprocessed, and the specific method for obtaining the steady-state operation data is as follows:
[0120] S11, using the K-mean clustering algorithm to automatically remove outliers in the process operation data;
[0121] S12. According to the different characteristics of the signal and the noise at different time scales, use wavelet denoising technology to remove the noise in the process operation data.
[0122] The K-mean clustering algorithm is used to automatically eliminate the outliers in the process operation data of the cracking reaction section of the hydrocracking process, so as to avoid the interference of abnormal data on the model construction.
[0123] The noise-containing process operation data in the cracking reaction section of the hydrocracking process can be eliminated according to the principle that the signal and noise ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
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