International Business Machines Corporation

Utopus Insights, Inc.

Xiao Guang Rui

Wen Jun Yin

Jin Dong

Xin Xin Bai

Hai Feng Wang

Meng Zhang

Hui Du

Liang Liu

Wei Zhao

Yu Xin Zhao

Xi Xia

Li Li

Chao Zhang

Bao Guo Xie

Jian Yao

Xin Jie Lv

Xin Zhang

Ling Wang

Lingyun Wang

Haifeng Wang

Ya Ming Zhang

Wei Zhuang

Junmei Qu

Ming Xie

Gang Zhou

Rong Zeng Cao

Wen Zhou

Ke Xu Zou

Yu Tao Ba

Wen Chen Cheng

Xinxin Bai

Hai Feng Hf Wang

Bao Guo Bg Xie

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.

Controlling wind turbine

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.

Forecasting output power of wind turbine in wind farm

A computer implemented method, computer system, and computer program product are provided for air-pollution emission source monitoring. To determine the air-pollution emission of a monitored area, location data and air pollution data are taken from sensor stations positioned along a boundary of the monitored area. The macroscale atmospheric data of a region, where the monitored area is located, is also received. A boundary pollutant distribution can be estimated based on the location data and the air pollution data. Horizontal diffusion and vertical diffusion of the monitored area can be estimated based on the boundary pollutant distribution and the macroscale atmospheric data. To determine an accurate amount of pollution contribution caused by a monitored area, a calculation based on the boundary pollutant distribution, the horizontal diffusion, and the vertical diffusion can be used.

Air-pollution emission source monitoring

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.

Automatic siting for air quality monitoring stations

In an embodiment of the present disclosure, a method for modeling prediction of inhalable particles concentration is disclosed. In the method, at least one dispersal event is identified, and at least one accumulation event is identified based on the identified at least one dispersal event. Then a dispersal prediction model is generated based on the identified at least one dispersal event. Then at least one accumulation level of inhalable particles concentration is obtained for the at least one accumulation event. A change prediction model for the accumulation level is generated. Then a plurality of accumulation prediction models is generated.

Prediction of inhalable particles concentration

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.

3-D air pollution transmission path identification

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.

Data quality control using a correlated sensor group

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.

Integrated air quality forecasting

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.

Very short-term air pollution forecasting

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.

Predicting ice coating status on transmission lines

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.

Retrieving pollution emission source using CFD and satellite data

A system, method and computer program product 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.

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Beijing, China

Xiao Guang Rui