Patents by Inventor Wen Jun Yin

Wen Jun Yin 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).

  • Publication number: 20200280185
    Abstract: A method for generating electric substation load transfer control parameters includes adjusting elements in a fundamental scale matrix according to a condition change of a power grid, wherein the fundamental scale matrix is constructed based on the topology structure of the power grid, and the elements in the fundamental scale matrix represent switch information and risk values of paths between nodes of the power grid, wherein the switch information represents number of switching times required for connecting two nodes of the power grid; and performing operations on the adjusted fundamental scale matrix to generate switch information and risk values of paths for electric substation load transfer control, as electric substation load transfer control parameters.
    Type: Application
    Filed: March 17, 2020
    Publication date: September 3, 2020
    Inventors: Zhen Huang, Feng Jin, Qi Ming Tian, Wen Jun Yin, Ya Nan Zhang, Ming Zhao
  • Patent number: 10732228
    Abstract: An apparatus for estimating a condition of a battery includes a mode identifying unit configured to identify a usage mode of the battery during a period of time and its corresponding attenuation curve, according to recorded data on battery usage, stored usage modes of the battery and attenuation curves corresponding to the various usage modes, the attenuation curve representing a change of a fully charged capacity of the battery with battery usage; and a condition estimating unit configured to calculate battery degradation according to the recorded data, the identified usage mode and its corresponding attenuation curve, the degradation representing a quantity of the fully charged capacity of the battery that is reduced over the battery usage. The condition of the battery is estimated so as to rationally judge the residual value of the battery in operation.
    Type: Grant
    Filed: January 30, 2014
    Date of Patent: August 4, 2020
    Assignee: Utopus Insights, Inc.
    Inventors: Jin Dong, Carlton Gammons, Jin Yan Shao, Qi Ming Tian, Ming Xie, Wen Jun Yin, Hong Guang Yu, Li Li Zhao
  • Patent number: 10725008
    Abstract: A system, a computer readable storage medium, and a method for automatically siting for air quality monitoring stations includes collecting from air quality monitoring stations air pollution concentration data, collecting from meteorological stations meteorological data, and interpolating, by the at least one or more processors, the air pollution concentration data to provide interpolated air pollution concentration data. The method and system can further cluster the interpolated air pollution concentration data and the meteorological data to provide clustered data and select a candidate site for an air monitoring station using the clustered data. The method and system can further evaluate a relationship of the air pollution concentration data with the meteorological data by weighting the air pollution data with the meteorological data.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: July 28, 2020
    Assignee: International Business Machines Corporation
    Inventors: Jin Dong, Xiao Guang Rui, Jian Yao, Wen Jun Yin, Chao Zhang, Xin Zhang, Yu Xin Zhao
  • Patent number: 10685296
    Abstract: A method for establishing and using a pollutant emission scavenging forecasting (PESF) model to calculate a purgeable pollutant emission to dynamically control an emitted pollutant at any target concentration. The dynamic control considers the initial pollutant concentration and pollutant scavenging ability of atmosphere. The method further takes into account the constraint conditions specified by a user, and employs a dynamic emission correction system to quickly calculate an optimal pollutant emission scheme. If the emission is lower than minimum acceptable value for a current time instance (a moment), the method corrects the emission intensity before (prior to) this moment by changing the initial concentration at this time. This initial concentration is the final pollutant concentration of a prior moment. Since the method makes full use of the atmospheric pollutants scavenging ability, the dynamic emission control scheme can provide the most effective and lowest economic losses solution.
    Type: Grant
    Filed: November 9, 2017
    Date of Patent: June 16, 2020
    Assignee: International Business Machines Corporation
    Inventors: Hui Du, Yu Du, Si Huang, Yu Jia Tang, Bao Guo Xie, Wen Jun Yin, Meng Zhang, Xin Zhang, Shuai Zhu
  • Patent number: 10648805
    Abstract: A method for tracking and identifying a polluted air mass's transmission trajectory in real 3-D space. In one aspect, a polluted air mass's transmission path identification is based on a monitoring of PM2.5 concentration in cubic volumes of an air mass. The method computes a transmission path of polluted air that considers wind-pressure conversion, the displacement estimation with mass concentration, and planetary boundary layer (PBLP height constraint) for 3-D cubic grids. The resultant determination of a polluted air mass's transmission trajectory in real 3-D space generates more practical and reliable results for intensive knowledge of the transport pathways and potential pollution sources in real 3-D space.
    Type: Grant
    Filed: November 8, 2017
    Date of Patent: May 12, 2020
    Assignee: International Business Machines Corporation
    Inventors: Xin Xin Bai, Xin Jie Lv, Xiao Guang Rui, Xi Xia, Jian Yao, Wen Jun Yin, Wei Zhao, Yu Xin Zhao
  • Patent number: 10628757
    Abstract: A system, method and computer program product for establishing and using a pollutant emission scavenging forecasting (PESF) model to calculate a purgeable pollutant emission to dynamically control an emitted pollutant at any target concentration. The dynamic control considers the initial pollutant concentration and pollutant scavenging ability of atmosphere. The method further takes into account the constraint conditions specified by a user, and employs a dynamic emission correction system to quickly calculate an optimal pollutant emission scheme. If the emission is lower than minimum acceptable value for a current time instance (a moment), the method corrects the emission intensity before (prior to) this moment by changing the initial concentration at this time. This initial concentration is the final pollutant concentration of a prior moment.
    Type: Grant
    Filed: January 26, 2017
    Date of Patent: April 21, 2020
    Assignee: International Business Machines Corporation
    Inventors: Hui Du, Yu Du, Si Huang, Yu Jia Tang, Bao Guo Xie, Wen Jun Yin, Meng Zhang, Xin Zhang, Shuai Zhu
  • Patent number: 10627380
    Abstract: The disclosure involves multi-source data assimilation. According to an embodiment, first data associated with an indication of environmental quality in a first region is obtained, and second data associated with an indication of environmental quality in a second region is obtained. The first data is of a higher quality than the second data according to a predetermined criterion. The second data is calibrated according to a relationship between the first and second data in an overlap of the first and second regions. Third data associated with an indication of environmental quality in a third region is determined based on the first data and the calibrated second data, wherein the third region comprises at least the first and second regions.
    Type: Grant
    Filed: February 8, 2017
    Date of Patent: April 21, 2020
    Assignee: International Business Machines Corporation
    Inventors: Yu Tao Ba, Wen Chen Cheng, Chang Rui Ren, Ling Yun Wang, Wen Jun Yin, Gang Zhou, Ke Xu Zou
  • Patent number: 10594137
    Abstract: A method for generating electric substation load transfer control parameters includes adjusting elements in a fundamental scale matrix according to a condition change of a power grid, wherein the fundamental scale matrix is constructed based on the topology structure of the power grid, and the elements in the fundamental scale matrix represent switch information and risk values of paths between nodes of the power grid, wherein the switch information represents number of switching times required for connecting two nodes of the power grid; and performing operations on the adjusted fundamental scale matrix to generate switch information and risk values of paths for electric substation load transfer control, as electric substation load transfer control parameters.
    Type: Grant
    Filed: June 26, 2018
    Date of Patent: March 17, 2020
    Assignee: Utopus Insights, Inc.
    Inventors: Zhen Huang, Feng Jin, Qi Ming Tian, Wen Jun Yin, Ya Nan Zhang, Ming Zhao
  • Publication number: 20200080539
    Abstract: The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.
    Type: Application
    Filed: September 17, 2019
    Publication date: March 12, 2020
    Inventors: Xin Xin Bai, Jin Dong, Li Li, Liang Liu, Xiao Guang Rui, Hai Feng Wang, Wen Jun Yin
  • Patent number: 10578448
    Abstract: A computer-implemented method includes receiving historical pollution distribution data indicating a pollution distribution in a target area, determining a first searching path for a mobile pollution detecting device that prioritizes subareas in the target area that have not been recently searched relative to other subareas, determining a second searching path for the mobile pollution detecting device that prioritizes subareas in the target area that have a high measure of pollution relative to other subareas, determining whether an amount of the historical pollution distribution data exceeds a threshold amount, and transmitting a signal causing the mobile pollution detecting device to search the target area for pollution based on the first searching path when the amount of the historical pollution distribution data is less than the threshold amount or the second searching path when the amount of the historical pollution distribution data is greater than or equal to the threshold amount.
    Type: Grant
    Filed: February 28, 2017
    Date of Patent: March 3, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yu Tao Ba, Ling Yun Wang, Wen Jun Yin, Gang Zhou, Ke Xu Zou
  • Patent number: 10571446
    Abstract: A system, a computer readable storage medium, and a method for data quality control using a correlated sensor group includes selecting a sensor group, by at least one processor, according to a uniformity and a correlation with air pollution concentration data from a reference station, selecting a time series based on the correlation, generating a particle concentration model between the sensor group and the reference station, calculating a deviation in the particle concentration data from the particle concentration model, and recognizing outliers from the deviation as unacceptable data.
    Type: Grant
    Filed: April 27, 2017
    Date of Patent: February 25, 2020
    Assignee: International Business Machines Corporation
    Inventors: Wen Chen Cheng, Xin Jie Lv, Xiao Guang Rui, Ling Yun Wang, Wen Jun Yin, Yu Ed Zhao
  • Patent number: 10566790
    Abstract: A system and method for extracting a skeleton topology structure for an electric power grid, the method comprising: receiving a description of a topology sub-structure corresponding with user's need and a description of skeleton topology sub-structure extracted from the topology sub-structure; generating a first incidence matrix based on the description of the topology sub-structure and a second incidence matrix based on the description of the skeleton topology sub-structure; generating a third incidence matrix based on a primary topology structure of electric power grid; searching from the third incidence matrix a sub-matrix that matches the first incidence matrix; obtaining a fourth incidence matrix by using the second incidence matrix to transform the matching sub-matrix; and generating a skeleton topology structure corresponding to the primary topology structure based on the fourth incidence matrix.
    Type: Grant
    Filed: April 16, 2012
    Date of Patent: February 18, 2020
    Assignee: Utopus Insights, Inc.
    Inventors: Jin Dong, Jun Luo, Xin Jie Lv, Hai Rong Lv, Qi Ming Tian, Wen Jun Yin
  • Patent number: 10552394
    Abstract: This disclosure provides a computer-implemented method for data storage in a non-relational database. The method comprises receiving a data item to be inserted into a table in the non-relational database. The method further comprises determining a dynamic data section and a static data section of the received data item. The method further comprises in response to the static data section not existing in the static data storage area, storing the static data section in the static data storage area. The method further comprises storing the dynamic data section in the dynamic data storage area.
    Type: Grant
    Filed: September 7, 2017
    Date of Patent: February 4, 2020
    Assignee: International Business Machines Corporation
    Inventors: Liang Liu, Zhuo Liu, Jun Mei Qu, Hong Zhou Sha, Wen Jun Yin, Wei Zhuang
  • Publication number: 20200018289
    Abstract: A method and apparatus for forecasting output power of wind turbine in a wind farm. The present invention provides a method for forecasting output power of a wind turbine in a wind farm, including: generating a corrected data set based on environmental data collected from at least one sensor in the wind farm; correcting a weather forecasting model by using the corrected data set; obtaining a forecast value of wind information at the wind turbine based on the corrected weather forecasting model; and forecasting the output power of the wind turbine based on the forecast value and a power forecasting model.
    Type: Application
    Filed: February 26, 2019
    Publication date: January 16, 2020
    Applicant: Utopus Insights, Inc.
    Inventors: Xin Xin Bai, Jin Dong, Hui Du, Xiao Guang Rui, Hai Feng Wang, Wen Jun Yin, Meng Zhang
  • Publication number: 20200003742
    Abstract: A system, a computer readable storage medium, and a method for automatically siting for air quality monitoring stations includes collecting from air quality monitoring stations air pollution concentration data, collecting from meteorological stations meteorological data, and interpolating, by the at least one or more processors, the air pollution concentration data to provide interpolated air pollution concentration data. The method and system can further cluster the interpolated air pollution concentration data and the meteorological data to provide clustered data and select a candidate site for an air monitoring station using the clustered data. The method and system can further evaluate a relationship of the air pollution concentration data with the meteorological data by weighting the air pollution data with the meteorological data.
    Type: Application
    Filed: September 11, 2019
    Publication date: January 2, 2020
    Applicant: International Business Machines Corporation
    Inventors: Jin DONG, Xiao Guang RUI, Jian YAO, Wen Jun YIN, Chao ZHANG, Xin ZHANG, Yu Xin ZHAO
  • Patent number: 10444211
    Abstract: An embodiment of the invention provides a method where an air quality forecast having an air quality turning point is received. A processor identifies an updated air quality turning point based on weather observation information. An air quality forecast at the updated air quality turning point is generated with the weather observation information and human input, which can include human knowledge from a weather expert or an air quality expert. An air quality forecast for a first time period directly prior to the updated air quality turning point is generated with the air quality forecast at the updated air quality turning point and the human input. An air quality forecast for a second time period directly after the updated air quality turning point is generated with the air quality forecast for the first time period, the air quality forecast at the updated air quality turning point, and the human input.
    Type: Grant
    Filed: December 28, 2015
    Date of Patent: October 15, 2019
    Assignee: International Business Machines Corporation
    Inventors: Xin X. Bai, Jin Dong, Hui Du, Xiao G. Rui, Xi Xia, Bao G. Xie, Wen Jun Yin, Wei Zhao
  • Patent number: 10438125
    Abstract: A mechanism is provided for forecasting air pollution. One or more air-pollution monitoring stations correlated to a forecasting point from a plurality of air-pollution monitoring stations are identified. For the one or more air-pollution monitoring stations that correlate to the forecasting point, one or more patterns of the forecasting point, historical patterns of the forecasting point relating to the one or more patterns of the forecasting point, and one or more patterns of the air-pollution monitoring stations that relate to the one or more patterns of the forecasting point are identified. Based on the one or more patterns of the forecasting point, the historical patterns of the forecasting point relating to the one or more patterns of the forecasting point, and the one or more patterns of the air-pollution monitoring stations that relate to the one or more patterns of the forecasting point, a pollution forecast is provided.
    Type: Grant
    Filed: November 12, 2015
    Date of Patent: October 8, 2019
    Assignee: International Business Machines Corporation
    Inventors: Xin Xin Bai, Jin Dong, Xiao Guang Rui, Hai Feng Wang, Wen Jun Yin
  • Patent number: 10415546
    Abstract: The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.
    Type: Grant
    Filed: May 16, 2018
    Date of Patent: September 17, 2019
    Assignee: Utopus Insights, Inc.
    Inventors: Xin Xin Bai, Jin Dong, Li Li, Liang Liu, Xiao Guang Rui, Hai Feng Wang, Wen Jun Yin
  • Patent number: 10386542
    Abstract: A method and apparatus for predicting ice coating status on transmission lines. In one embodiment of the present invention, there is provided a method for predicting ice coating status on transmission lines, including: collecting real-time meteorological data from at least one meteorological sensor; generating a meteorological element predicted value based on the real-time meteorological data, an initial field and a weather forecasting model; and obtaining a set of lines that meet ice coating conditions among the transmission lines, based on the meteorological element predicted value and attribute information of the transmission lines. In one embodiment of the present invention, there is provided an apparatus for predicting ice coating status on transmission lines.
    Type: Grant
    Filed: August 27, 2013
    Date of Patent: August 20, 2019
    Assignee: Utopus Insights, Inc.
    Inventors: Xinxin Bai, Jin Dong, Xiao Guang Rui, Haifeng Wang, Wen Jun Yin, Meng Zhang
  • Patent number: 10372846
    Abstract: A method for modeling air pollution includes receiving a weather model for a particular geographic region. Satellite-observed pollution observation data over the geographic region is received. A physical dispersion model for pollution over the geographic region is generated using the received weather model. The received satellite-observed pollution observation data is interpolated to the generated physical model. The interpolated satellite-observed pollution observation data and the generated physical model are combined using weighted coefficients for both the interpolated satellite-observed pollution observation data and the generated physical model. The weighted coefficients are calculated in accordance with a relative error in both the physical dispersion model and the satellite-observed pollution observation data.
    Type: Grant
    Filed: November 12, 2015
    Date of Patent: August 6, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Xin Xin Bai, Jin Dong, Hui Bj Du, Xiao Guang Rui, Hai Feng Hf Wang, Bao Guo Bg Xie, Wen Jun Yin, Meng Mm Zhang