International Business Machines Corporation

Utopus Insights, Inc.

Huawei Technologies Co., Limited

Boe Technology Group Co., Ltd.

Shenzhen S-hande Technology Co., Ltd.

Xin Xin Bai

Wen Jun Yin

Jin Dong

Xiao Guang Rui

Hai Feng Wang

Xi Xia

Hui Du

Meng Zhang

Ta-Hsin Li

Liang Liu

Bin Zhang

Li Li

Wei Zhao

Bao Guo Xie

Hai Rong Lv

Junmei Qu

Lingyun Wang

Jin Yan Shao

Ying Liu

Yu Xin Zhao

Xin Jie Lv

Jian Yao

Zhong Lin Lin

Cindy Q Zhang

Tianyu Wo

Jun Zhu

Xin Zhou

Chao Zhang

Ling Wang

Jian Jun Wang

Ya Ming Zhang

Jianjun Li

Jing Gao

Ming Xie

Chunlong Yan

Guiqi Liu

Hai Feng Hf Wang

Bao Guo Bg Xie

Ts-Hsin Li

Lian Du

Junbin Kang

Massager

A method, a device and a computer program product for abnormal air pollution emission prediction are proposed. In the method, a first set of features characterizing air condition in a zone is obtained. Whether the zone is subject to abnormal air pollution emission in a future first time period is determined based on the first set of features and using a first prediction classifier. In response to determining that the zone is subject to abnormal air pollution emission in the first time period, a second set of features characterizing air condition in the zone is obtained. A future second time period in which the zone is subject to abnormal air pollution emission is determined based on the second set of features and using a second prediction classifier. The second time period is included in the first time period. In this way, the abnormal air pollution emission in the zone can be accurately and efficiently predicted.

Abnormal air pollution emission prediction

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

An abnormal area is detected using an initial spatial weights matrix between pairs of air quality sensors in a plurality of air quality sensors distributed across a geographical area and air quality data for each air quality sensor. The spatial weights matrix utilizes a distance between pairs of air quality sensors and wind direction through the geographical area. The initial spatial weights matrix and air quality data are used to calculate a plurality of local moran's indexes, one for each air quality sensor. The plurality of local moran's indexes are used to divide the plurality of air quality sensors into four groups. The groups are classified as proper or improper, and the proper groups are identified as abnormal areas.

Detection of area of abnormal air quality within a geographical area

A method for file storage and a storage device are disclosed. The method includes: receiving, by a file system, a file create request sent by an application, where the file create request includes a file storage characteristic and a file storage path; selecting, by the file system from M domains based on the file storage characteristic, a domain whose domain storage characteristic has a highest degree of conformity with the file storage characteristic as a target domain; creating, by the file system, a file in the target domain; and adding, by the file system, the file to a directory tree based on the file storage path. The method can facilitate file and directory management in a storage device.

File storage method and storage apparatus

A virtual disk file format conversion method and an apparatus that relate to the field of virtualization technologies and to resolve a service interruption caused by offline conversion of a virtual machine disk image file format when a virtual machine is migrated between different types of VMMs. The method and apparatus include establishing a mapping table between a virtual address of a virtual machine (VM) disk image file and a physical address of a disk image file that is compatible with a virtual machine monitor (VMM), converting, according to the mapping table, the virtual address used when a user performs reading/writing on the VM disk image file, into the physical address mapped to the virtual address, and performing data reading/writing on the VM disk image file based on the physical address.

Virtual disk file format conversion method and apparatus

Correction management techniques are provided. In one embodiment, the techniques involve determining, via a first machine learning model, a first and second data based on a respective first and second raw data obtained from a plurality of sensors, determining, based on a deviation between the first data and the second data, an inaccuracy of the first data, identifying an ambient situation corresponding to the first raw data and the second raw data, selecting, from historical raw data of the plurality of sensors, a group of raw data corresponding to the ambient situation, and correcting, via a second machine learning model, the first data based on the selected group of raw data.

Error correction

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 carrying platform and an exposure method are provided. The carrying platform includes: a plurality of sub-stands, configured to co-carry an object. Each sub-stand includes: a platform having a first carrying surface; and a position adjusting unit disposed on a side of the platform away from the first carrying surface and configured to adjust at least one of height or inclined angle of the platform.

Carrying platform and exposure method

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

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Beijing, China

Xin Xin Bai