International Business Machines Corporation

Ke Xu Zou

Gang Zhou

Lingyun Wang

Yu Tao Ba

Wen Jun Yin

Ming Xie

Xin Jie Lv

Chao Zhang

Ling Wang

Wenchen Cheng

Wei Zhao

Xiao Guang Rui

Chang Rui Ren

Wen Chen Cheng

Yutao Ba

At least one target area is identified based on a pollution concentration field of a geographic area. At least one candidate site is selected from a plurality of sites within the geographic area based on a relationship between the plurality of sites and pollution sources, where the plurality of sites are potential positions for deploying sensors for monitoring pollution. A target site is determined from the at least one candidate site based on the at least one target area.

Sensor deployment

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 method, system, and computer program product, include recording high-frequency wave data of local arid adjacent fault curves of a power grid to compare the high-frequency wave data with historical fault data to detect an actual fault region in the power grid, the power grid having a plurality of sensors distributed in the power grid, each sensor being upstream of one adjacent sensor and downstream of an other adjacent sensor.

System, method and computer program product for fault detection and location in power grid

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

A method, system, and computer program product, include obtaining a dataset related to a power grid collected by a plurality of sensors distributed in the power grid, identifying a region as a candidate fault region based on first data in the dataset, the first data being collected by a first sensor from among the plurality of sensors that is located in the region, and verifying the candidate fault region based on second data in the dataset, the second data being collected by a second sensor from among the plurality of sensors that is adjacent to the first sensor.

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Beijing, China

Ke Xu Zou