Method and System of Longitudinal Correlation Between Power and Meteorology Based on GIS

Abstract

The invention discloses a GIS-based power-meteorology longitudinal association method and system. The method comprises the following steps: step one, meteorological data acquisition; to be specific, carrying out access of real-time monitoring and early warning data of the weather bureau to a power grid GIS platform; step two, meteorological data parsing; to be specific, carrying out conversion of the format of the collected meteorological data; step three: establishment of an equipment graph layer and a meteorological chart layer; to be specific, carrying out localization on power equipment and a monitoring station; and step four, matching of a meteorological chart layer with the equipment graph layer; to be specific, carrying out association of the meteorological chart layer and the equipment graph layer. Therefore, visual and omnibearing real-time monitoring of occurrence and development of disastrous weather like the typhoon, rainstorm, and severe convection and the like for the power equipment can be realized and the motion and evolution of the weather system also can be tracked, thereby providing an analysis basis for disastrous weather prediction.

Description

technical field [0001] The invention relates to a GIS-based power-meteorology vertical correlation method and system. Background technique [0002] Various power facilities, including power transmission, power transformation, power distribution and other facilities, are distributed in a wide area. At present, there is a lack of professional early warning information for power grid power facilities, which cannot meet the requirements of power grid production, operation, power service, emergency repair and disaster prevention and mitigation. needs. The methods for each grassroots unit to obtain meteorological information are limited to public service information on the public network or customized meteorological service text messages in the region. It is impossible to obtain targeted and professional meteorological information. The information lags behind, and the early warning and practicability are not high. In short, in the existing monitoring system, there is no real-time...

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