International Business Machines Corporation

Yu Tao Ba

Gang Zhou

Ke Xu Zou

Bo Zhang

Ling Wang

Wen Jun Yin

Ming Xie

Lingyun Wang

Chang Rui Ren

Wei Zhao

Xin Shi

Xiao Guang Rui

Changrui Ren

Lin Tang

Wenchen Cheng

Wen Chen Cheng

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

This disclosure involves improved route recommendation in map service. A computer-implemented method comprises identifying at least one intermediate point for traveling from an origin to a destination based on a user input. The method further comprises determining one or more first recommended routes from the origin to the destination via the at least one intermediate point. The method further comprises determining one or more second recommended routes from the origin to the destination without considering the at least one intermediate point. The method further comprises in response to at least one of the first recommended routes being better than the second recommended routes, storing the at least one intermediate point associated with the origin and the destination.

Route recommendation in map service

A processor-implemented method receives a plurality of pollution measurement data, a plurality of geodetic data, and a plurality of meteorological data associated with a geographical area. The processor-implemented method generates a grid of the geographical area, whereby the generated grid virtually divides the geographical area into a plurality of cells. The processor-implemented method associates the received plurality of measurement data, the received plurality of geodetic data, and the received plurality of meteorological data with a cell in the generated grid. The processor-implemented method determines a pollutant contribution value of the cell based on the pollution measurement data associated with the cell and a physical contribution of a plurality of pollutants. The processor-implemented method identifies the pollution source based on a paired comparison of the plurality of cells and displays the location on the geographical area associated with the identified pollution source.

Air pollution source recognition based on dynamic pairing and comparison

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.

Multi-source data assimilation for three-dimensional environmental monitoring

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.

Monitoring air pollution using a mobile pollution detecting device

Embodiments describing an approach to receiving visual feedback. Generating a recommended visual pattern based on the visual feedback. Tracking a driver's real-time visual pattern. Extracting the driver's real-time visual patterns from the eye-tracking data. Determining the differences between the recommended visual pattern and the driver's real-time visual pattern. Generating enhanced headlamp control configurations based on the determined differences between the recommended visual pattern and the driver's real-time visual pattern; and adjusting the headlamp calibration controls based on the enhanced headlamp control configuration.

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Beijing, China

Yu Tao Ba