Patents by Inventor Sang Gun NA

Sang Gun NA 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: 11846416
    Abstract: A device and method select an optimal boiler combustion model from among a plurality of boiler combustion models for boiler combustion to update a memory in which the boiler combustion models are stored. The device includes a memory configured to store first boiler combustion models that are derived in advance and second boiler combustion models that are derived in advance; and a processor configured to select an optimal boiler combustion model from among the first and second boiler combustion models and to update the memory according to characteristics of the selected optimal boiler combustion model. The processor may further generate a third boiler combustion model for the combustion of the boiler to select the optimal boiler combustion model from among the first to third boiler combustion models and verification data for model verification through the latest data measured in the boiler and data on basic characteristics of the measured data.
    Type: Grant
    Filed: May 29, 2020
    Date of Patent: December 19, 2023
    Assignee: DOOSAN ENERBILITY CO., LTD.
    Inventors: Sang Gun Na, Jwa Young Maeng
  • Patent number: 11761623
    Abstract: An apparatus for combustion optimization is provided. The apparatus for combustion optimization includes a management layer configured to collect currently measured real-time data for boiler combustion, and to determine whether to perform combustion optimization and whether to tune a combustion model and a combustion controller by analyzing the collected real-time data, a data layer configured to derive learning data necessary for designing the combustion model and the combustion controller from the real-time data and previously measured past data for the boiler combustion, a model layer configured to generate the combustion model and the combustion controller through the learning data, and an optimal layer configured to calculate a target value for the combustion optimization by using the combustion model and the combustion controller, and to output a control signal according to the calculated target value.
    Type: Grant
    Filed: September 18, 2019
    Date of Patent: September 19, 2023
    Assignee: DOOSAN ENERBILITY CO., LTD.
    Inventors: Jee Hun Park, Sang Gun Na, Hyun Sik Kim, Jwa Young Maeng
  • Publication number: 20230212032
    Abstract: An apparatus for controlling output in a water treatment plant treating water includes: a chemical dosing management part configured to analyze real-time data to determine a control mode of chemical dosing optimization, and provide the determined control mode as a management command; a chemical dosing optimization part configured to analyze the real-time data to derive a control value such that the control value is to set a minimum of a chemical dosage to be dose in the water while a state of treated water of the water treatment plant is maintained in a normal range; and a chemical dosing output control part configured to provide the control value to a water treatment control device for controlling the water treatment plant, according to the control mode of the management command.
    Type: Application
    Filed: January 4, 2023
    Publication date: July 6, 2023
    Inventors: Sang Gun NA, Hyun Sik KIM, Jun Woo YOO, Yeong Hyeok KIM
  • Publication number: 20230212033
    Abstract: An apparatus for controlling chemical dosing optimization in a water treatment plant treating feed water includes: a control value derivation part configured to receive real-time data, analyze the real-time data through a water treatment model and a controller in response to receiving the real-time data, and calculate a control value, such that the control value is to set a minimum of a chemical dosage while maintaining a state of treated water of the water treatment plant in a normal range, the water treatment model simulating the water treatment plant and the controller being an optimization algorithm; and a chemical dosing output control part configured to provide the control value to a water treatment control device.
    Type: Application
    Filed: January 4, 2023
    Publication date: July 6, 2023
    Inventors: Sang Gun NA, Hyun Sik KIM, Jun Woo YOO, Yeong Hyeok KIM, Jung Won PARK, Young Geun LEE
  • Publication number: 20230212030
    Abstract: A device for selecting an optimal model includes: a model storage part including a seed model storage place in which a seed model is stored, and an optimal model storage place in which an existing optimal model is stored; a model generation part configured to use training data to generate a variable model; and a model evaluation part configured to prepare evaluation data, and use the evaluation data to select a champion model from among a plurality of evaluation target models including the seed model, the existing optimal model, and the variable model by evaluating the plurality of evaluation target models.
    Type: Application
    Filed: December 19, 2022
    Publication date: July 6, 2023
    Inventors: Sang Gun NA, Hyun Sik KIM, Jun Woo YOO
  • Publication number: 20230213898
    Abstract: A chemical dosing optimization apparatus includes a chemical dosing optimization part and a chemical dosing output control part, wherein the chemical dosing optimization part receives real-time data at least from a water treatment plant treating feed water by dosing a chemical and providing a treated water, analyzes the real-time data through a water treatment model in response to receiving the real-time data, derives a prediction value for predicting a state of the treated water of the water treatment plant, and derives a control value based on the prediction value through a controller, such that the control value is to set a minimum of a chemical dosage to be dosed in the feed water while the state of the treated water of the water treatment plant is maintained in a normal range, and wherein the chemical dosing output control part provides the control value to a water treatment control device.
    Type: Application
    Filed: January 4, 2023
    Publication date: July 6, 2023
    Inventors: Sang Gun NA, Jae KWAK, Yeong Hyeok KIM, Jung Won PARK, Young Geun LEE, Hyun Sik KIM, Jun Woo YOO
  • Publication number: 20230131969
    Abstract: Provided is an apparatus for controlling a seawater desalination plant. The apparatus includes: a dissolved air flotation device configured to provide treated water obtained by treating seawater according to a dissolved air flotation (DAF); an ultrafiltration device including a plurality of ultrafiltration units each having an ultrafiltration membrane, and configured to perform an ultrafiltration (UF) process of filtering impurities remaining in the treated water using the ultrafiltration membranes of the plurality of ultrafiltration units; a reverse osmosis device; an information collection unit; and a state treatment unit.
    Type: Application
    Filed: October 11, 2022
    Publication date: April 27, 2023
    Inventors: Young Geun LEE, Jae Hwa Kwak, Yeong Hyeok Kim, Sang Gun Na, Jung Won Park
  • Patent number: 11629856
    Abstract: An apparatus for managing combustion optimization is provided. The apparatus for managing combustion optimization includes a data collector configured to collect real-time data that is measured in real time from a boiler system including a boiler and a combustion controller configured to control combustion of the boiler, a management configured to determine whether to perform combustion optimization of the boiler based on the real-time data, and an executor configured to generate a control command and transmit the control command to the combustion controller to perform the combustion optimization of the boiler in response to determining that the combustion optimization of the boiler is possible.
    Type: Grant
    Filed: September 17, 2019
    Date of Patent: April 18, 2023
    Assignee: DOSAN ENERBILITY CO., LTD.
    Inventors: Sang Gun Na, Jwa Young Maeng, Jee Hun Park
  • Patent number: 11599696
    Abstract: A method and apparatus for automatically generating periodic boiler combustion models and aperiodic boiler combustion models through automatic learning are provided. The method of automatically generating a boiler combustion model may include determining whether a specific event has occurred in association with a boiler, changing a training condition according to a result of the determining, generating a boiler combustion model trained on operation data measured in the boiler and stored in a database according to the training condition, and determining a precision of the generated boiler combustion model.
    Type: Grant
    Filed: February 28, 2020
    Date of Patent: March 7, 2023
    Assignee: DOOSAN ENERBILITY CO., LTD.
    Inventors: Sang Gun Na, Jwa Young Maeng
  • Patent number: 11585732
    Abstract: An apparatus for diagnosing failure of a plant is provided. The apparatus for diagnosing failure of a plant includes: a data analyzer configured to provide data analysis information, which is information requiring analysis to diagnose failure of the plant, and a comprehensive diagnostic device configured to diagnose the failure using each of an algorithm-based diagnosing technique and a domain knowledge-based diagnosing technique based on the data analysis information, and to derive comprehensive diagnosis information for the failure by summarizing results of the algorithm-based diagnosing technique and the domain knowledge-based diagnosing technique.
    Type: Grant
    Filed: December 23, 2020
    Date of Patent: February 21, 2023
    Assignee: DOOSAN ENERBNITY CO., LTD.
    Inventors: Jee Hun Park, Hyun Sik Kim, Sang Gun Na, Jun Woo Yoo
  • Patent number: 11526687
    Abstract: An apparatus and method for generating learning data for combustion optimization is provided. The apparatus includes a data pre-processor to collect raw data including currently measured real-time data for boiler combustion and previously measured past data for the boiler combustion, and to perform pre-processing for the collected raw data, and a data analyzer to derive learning data from the raw data by analyzing the raw data. An apparatus for combustion optimization includes a management layer to collect currently measured real-time data for boiler combustion, to determine whether to perform combustion optimization, and to determine whether to tune a combustion model and a combustion controller; a data layer to derive learning data from raw data; a model layer to generate the combustion model/controller through the learning data; and an optimal layer to calculate a target value for combustion optimization and to output a control signal according to the calculated target value.
    Type: Grant
    Filed: September 17, 2019
    Date of Patent: December 13, 2022
    Assignee: DOOSAN ENERBILITYTY CO., LTD.
    Inventors: Hyun Sik Kim, Sang Gun Na, Jee Hun Park
  • Patent number: 11475186
    Abstract: A method of and an apparatus for deriving a boiler combustion model by setting input and output data and using a combination of mathematical models including an artificial neural network (ANN) are provided. The method of deriving a boiler combustion model may include setting input and output data required for derivation of a boiler combustion model, deriving a boiler combustion model including an input layer configured to receive the input data, a hidden layer including multiple nodes configured to perform computation on the input data, and an output layer configured to output a computation result transferred from the hidden layer as the output data, and determining a precision of the derived boiler combustion model.
    Type: Grant
    Filed: March 3, 2020
    Date of Patent: October 18, 2022
    Inventors: Sang Gun Na, Jwa Young Maeng
  • Patent number: 11371696
    Abstract: A system and method for configuring a boiler combustion model are provided. The system for configuring the boiler combustion model may include a model generator configured to generate the boiler combustion model using, as input/output data, data obtained based on measured data, analysis data, and controller information, a model simulator configured to simulate the generated boiler combustion model and output simulated results, and a model modifier configured to evaluate the boiler combustion model based on the simulated results and generate modification information for modifying the boiler combustion model based on the generated boiler combustion model and corresponding evaluated results.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: June 28, 2022
    Assignee: Doosan Heavy Industries & Construction Co., Ltd
    Inventors: Jee Hun Park, Sang Gun Na, Hyun Sik Kim
  • Patent number: 11334053
    Abstract: A failure prediction model generating apparatus and method thereof are provided. The failure prediction model generating apparatus includes a memory configured to store a plurality of failure prediction models derived previously; and a processor configured to predict a failure of the plant, wherein the processor is configured to collect data measured from the plant, select at least one failure prediction model from among the plurality of failure prediction models using the collected data, and predict a failure of the plant using the selected failure prediction model.
    Type: Grant
    Filed: February 2, 2021
    Date of Patent: May 17, 2022
    Inventors: Jee Hun Park, Hyun Sik Kim, Sang Gun Na, Jun Woo Yoo
  • Patent number: 11287126
    Abstract: A system for controlling a boiler in a power plant to ensure combust under optimized conditions is provided. The system for controlling an operation of the boiler may include an optimizer configured to perform a combustion optimization operation for the boiler using a boiler combustion model to calculate an optimum control value for at least one control object of the boiler, and an output controller configured to receive the calculated optimum control value from the optimizer and control the control object according to the optimum control value.
    Type: Grant
    Filed: September 11, 2019
    Date of Patent: March 29, 2022
    Assignee: Doosan Heavy Industries & Construction Co., Ltd
    Inventors: Jwa Young Maeng, Sang Gun Na
  • Patent number: 11262065
    Abstract: A system for controlling a boiler apparatus in a power plant to combust under optimized conditions, and a method for optimizing combustion of the boiler apparatus using the same are provided. The boiler control system may include a modeler configured to create a boiler combustion model, an optimizer configured to receive the boiler combustion model from the modeler and perform the combustion optimization operation for the boiler using the boiler combustion model to calculate an optimum control value, and an output controller configured to receive the optimum control value from the optimizer, and control an operation of the boiler by reflecting the optimum control value to a boiler control logic.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: March 1, 2022
    Assignee: Doosan Heavy Industries Construction Co., Ltd
    Inventors: Jwa Young Maeng, Sang Gun Na
  • Patent number: 11232376
    Abstract: A system for controlling a boiler apparatus in a power plant to combust under optimized conditions, and a method for optimizing combustion of the boiler apparatus using the same are provided.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: January 25, 2022
    Assignee: DOOSAN HEAVY INDUSTRIES & CONSTRUCTION CO., LTD.
    Inventors: Sang Gun Na, Jwa Young Maeng, Hyun Sik Kim, Jee Hun Park
  • Publication number: 20210247742
    Abstract: A failure prediction model generating apparatus and method thereof are provided. The failure prediction model generating apparatus includes a memory configured to store a plurality of failure prediction models derived previously; and a processor configured to predict a failure of the plant, wherein the processor is configured to collect data measured from the plant, select at least one failure prediction model from among the plurality of failure prediction models using the collected data, and predict a failure of the plant using the selected failure prediction model.
    Type: Application
    Filed: February 2, 2021
    Publication date: August 12, 2021
    Inventors: Jee Hun Park, Hyun Sik Kim, Sang Gun Na, Jun Woo Yoo
  • Patent number: 11065576
    Abstract: A wet flue gas desulfurization apparatus includes an absorption tank in which an absorption solution containing an alkaline absorbent is stored; an absorption tower extending upward from the absorption tank; a flue gas inlet duct communicating with a first portion of the absorption tower; a flue gas outlet duct communicating with a second portion of the absorption tower; a spray unit to spray the absorption solution inside the absorption tower; a circulation pump to pump the absorption solution from the absorption tank and to supply the absorption solution to the spray unit; a byproduct discharging unit to discharge a byproduct downward from the absorption tank; and an oxygen supply pipe through which an oxygen-containing gas is supplied to a target point in the absorption tank, the target point being adjustable along a vertical direction or a horizontal direction, enabling adjustment of an internal position to which the gas is supplied.
    Type: Grant
    Filed: January 9, 2019
    Date of Patent: July 20, 2021
    Assignee: DOOSAN HEAVY INDUSTRIES & CONSTRUCTION CO., LTD.
    Inventors: In Gab Chang, Ja Hyung Koo, Joon Ho Kim, Sang Gun Na
  • Publication number: 20210208030
    Abstract: An apparatus for diagnosing failure of a plant is provided. The apparatus for diagnosing failure of a plant includes: a data analyzer configured to provide data analysis information, which is information requiring analysis to diagnose failure of the plant, and a comprehensive diagnostic device configured to diagnose the failure using each of an algorithm-based diagnosing technique and a domain knowledge-based diagnosing technique based on the data analysis information, and to derive comprehensive diagnosis information for the failure by summarizing results of the algorithm-based diagnosing technique and the domain knowledge-based diagnosing technique.
    Type: Application
    Filed: December 23, 2020
    Publication date: July 8, 2021
    Inventors: Jee Hun PARK, Hyun-Sik Kim, Sang Gun Na, Jun Woo Yoo