Patents by Inventor Liangfeng Lao

Liangfeng Lao has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11754998
    Abstract: Systems and methods provide a new paradigm of Advanced Process Control that includes building and deploying APC seed models. Embodiments provide automated data cleansing and selection in model identification and adaption in multivariable process control (MPC) techniques. Rather than plant pre-testing onsite for building APC seed models, the embodiments help APC engineers to build APC seed models from existing plant historical data with self-learning automation and pattern recognition, AI techniques. Embodiments further provide “growing” and “calibrating” the APC seed models online with non-invasive closed loop step testing techniques. PID loops and associated SP, PV, and OPs are searched and identified. Only “informative moves” data is screened, identified, and selected among a long history of process variables for seed model development and MPC application.
    Type: Grant
    Filed: October 19, 2020
    Date of Patent: September 12, 2023
    Assignee: AspenTech Corporation
    Inventors: Hong Zhao, Qingsheng Quinn Zheng, Kerry Clayton Ridley, Liangfeng Lao, Yizhou Fang
  • Publication number: 20210116891
    Abstract: Systems and methods provide a new paradigm of Advanced Process Control that includes building and deploying APC seed models. Embodiments provide automated data cleansing and selection in model identification and adaption in multivariable process control (MPC) techniques. Rather than plant pre-testing onsite for building APC seed models, the embodiments help APC engineers to build APC seed models from existing plant historical data with self-learning automation and pattern recognition, AI techniques. Embodiments further provide “growing” and “calibrating” the APC seed models online with non-invasive closed loop step testing techniques. PID loops and associated SP, PV, and OPs are searched and identified. Only “informative moves” data is screened, identified, and selected among a long history of process variables for seed model development and MPC application.
    Type: Application
    Filed: October 19, 2020
    Publication date: April 22, 2021
    Inventors: Hong Zhao, Qingsheng Quinn Zheng, Kerry Clayton Ridley, Liangfeng Lao, Yizhou Fang