Patents by Inventor Ka-Hing Lin

Ka-Hing Lin 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: 11726459
    Abstract: An industrial control programming development platform simplifies generation of an industrial control program and associated tag definitions by generating at least a portion of the control program and tag definitions based on analysis of digital engineering drawings of an automation system to be monitored and controlled. This drawing-based program generation includes creation and configuration of smart data tags that model and contextualize controller data at the device level for processing by higher level analytic systems. This device-level contextualization can be based in part on inferences drawn from the digital engineering drawings.
    Type: Grant
    Filed: June 18, 2020
    Date of Patent: August 15, 2023
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Bijan Sayyarrodsari, Subbian Govindaraj, David A. Vasko, Juergen Weinhofer, Andrew J Ellis, Ka-Hing Lin, Michael Pantaleano, Sujeet Chand, Kyle A. Crum
  • Patent number: 11507898
    Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Grant
    Filed: January 21, 2020
    Date of Patent: November 22, 2022
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier
  • Publication number: 20220043431
    Abstract: An industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be exposed to higher level systems for creation of analytic models that can be used to analyze data from the industrial device relative to desired business objectives.
    Type: Application
    Filed: August 5, 2020
    Publication date: February 10, 2022
    Inventors: Bijan Sayyarrodsari, Subbian Govindaraj, David A Vasko, Juergen Weinhofer, Andrew James Ellis, Ka-Hing Lin, Michael Pantaleano, Sujeet Chand, Kyle A. Crum
  • Publication number: 20210397171
    Abstract: A human-machine interface (HMI) development platform simplifies generation of an industrial visualization application by generating at least a portion of the visualization application based on analysis of digital engineering drawings of an automation system to be monitored and controlled. This drawing-based approach includes creation of HMI interface displays comprising animated graphics representing industrial assets represented in the drawings, and setting animation data sources for the graphics based on analysis of the drawings.
    Type: Application
    Filed: June 22, 2020
    Publication date: December 23, 2021
    Inventors: Bijan Sayyarrodsari, Subbian Govindaraj, David A Vasko, Juergen Weinhofer, Andrew James Ellis, Ka-Hing Lin, Michael Pantaleano, Sujeet Chand, Kyle A. Crum
  • Publication number: 20210397166
    Abstract: An industrial control programming development platform simplifies generation of an industrial control program and associated tag definitions by generating at least a portion of the control program and tag definitions based on analysis of digital engineering drawings of an automation system to be monitored and controlled. This drawing-based program generation includes creation and configuration of smart data tags that model and contextualize controller data at the device level for processing by higher level analytic systems. This device-level contextualization can be based in part on inferences drawn from the digital engineering drawings.
    Type: Application
    Filed: June 18, 2020
    Publication date: December 23, 2021
    Inventors: Bijan Sayyarrodsari, Subbian Govindaraj, David A. Vasko, Juergen Weinhofer, Andrew J Ellis, Ka-Hing Lin, Michael Pantaleano, Sujeet Chand, Kyle A. Crum
  • Publication number: 20200162559
    Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Application
    Filed: January 21, 2020
    Publication date: May 21, 2020
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier
  • Patent number: 10581974
    Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Grant
    Filed: August 1, 2017
    Date of Patent: March 3, 2020
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier
  • Publication number: 20170359418
    Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Application
    Filed: August 1, 2017
    Publication date: December 14, 2017
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier
  • Patent number: 9729639
    Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Grant
    Filed: September 30, 2008
    Date of Patent: August 8, 2017
    Assignee: ROCKWELL AUTOMATION TECHNOLOGIES, INC.
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier
  • Patent number: 8914300
    Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Grant
    Filed: September 30, 2008
    Date of Patent: December 16, 2014
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier
  • Patent number: 8417360
    Abstract: Systems and methodologies are provided for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. The systems and methods provide for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Grant
    Filed: September 30, 2008
    Date of Patent: April 9, 2013
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier
  • Publication number: 20090210081
    Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Application
    Filed: September 30, 2008
    Publication date: August 20, 2009
    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier
  • Publication number: 20090204267
    Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Application
    Filed: September 30, 2008
    Publication date: August 13, 2009
    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier
  • Publication number: 20090204234
    Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Application
    Filed: September 30, 2008
    Publication date: August 13, 2009
    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier
  • Publication number: 20090204237
    Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Application
    Filed: September 30, 2008
    Publication date: August 13, 2009
    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier
  • Publication number: 20090204245
    Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.
    Type: Application
    Filed: September 30, 2008
    Publication date: August 13, 2009
    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.
    Inventors: Angel Sustaeta, Ka-Hing Lin, Ric Snyder, John Christopher Theron, Mark Funderburk, Michael Eugene Sugars, Frederick M. Discenzo, John J. Baier