• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. L
  4. Lin…
  5. LIN Xiaofeng
🔗 Permalink
Inventor profile of:

Xiaofeng LIN

City:

Beijing

Country:

China

Published Applications:

5

Last publication date:

2023-07-27

Top Assignees for applications by Xiaofeng LIN

The entities that hold a legal rights for patent applications filed by inventor LIN Xiaofeng:

  • Greentech Environment Co., Ltd. 5 Beijing, China

Recent patent applications by LIN Xiaofeng

Xiaofeng LIN from Beijing, CN has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2023-07-27
US20230234871A1
Chemistry; metallurgy

System and method for treating printed circuit board (PCB) wastewater

#2 | 2023-07-27
US20230234870A1
Chemistry; metallurgy

System and method for treating reverse-osmosis concentrated water with high temporary hardness

#3 | 2023-07-20
US20230227341A1
Chemistry; metallurgy

Total nitrogen removal device for sewage and method for operating the same

#4 | 2022-12-08
US20220388866A1
Chemistry; metallurgy

Drinking water purification system with a backwashable filter cartridge and a nanofiltration system

#5 | 2022-07-07
US20220212963A1
Chemistry; metallurgy

Dosing control method and system for micro-flocculation in ultrafiltration

InventorID:

5456490 ⎘

  1. Home
  2. Inventor
  3. L
  4. Lin…
  5. LIN Xiaofeng

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.