A Meteorological Early Warning Method for Power Grid Engineering Projects

Abstract

The invention provides a meteorological early warning method for a grid engineering project. The method comprises the steps that a vectorized grid is constructed for a GIS map; meteorological data ofeach meteorological monitoring point in current and n hours and each grid facility are associated with the vectorized grid; an interpolation algorithm is used to calculate the meteorological data to form a meteorological data vectorized grid; a trainer is used to calculate the meteorological data; and according to the meteorological data calculated by the interpolation algorithm and the meteorological data acquired by the trainer, the current meteorological data and predicted meteorological data in n hours at each grid facility site are calculated, and early warning is carried out. According to the invention, the interpolation algorithm and the trainer are integrated to acquire the meteorological data of the grid facility location to acquire the final meteorological data; the algorithm isadjusted according to the data collected by a sensor at the grid facility site; and the accuracy of the meteorological prediction of the grid facility is improved.

Description

technical field [0001] The invention relates to the technical field of disaster monitoring and early warning, in particular to a meteorological early warning method for power grid engineering projects. Background technique [0002] In recent years, the operating environment of the power grid has become increasingly harsh and complex, and the management of infrastructure projects is facing enormous security pressure. When severe weather such as rain, snow, lightning, and strong winds occurs, the potential risks in the construction of power grid projects have been increased due to the lack of effective early warning methods. . The lack of research and judgment or inaccurate prediction of the weather conditions of power grid facilities in the next n hours will lead to the failure of the control center to carry out disaster deployment in advance, or cause large economic losses. [0003] In the existing technology, the analysis of the current meteorological data and the predicti...

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Problems solved by technology

[0002] In recent years, the operating environment of the power grid has become increasingly harsh and complex, and the management of infrastructure projects is facing enormous security pressure. When severe weather such as rain, snow, lightning, and strong winds occurs, the potential risks in the construction of power grid projects have been increased due to the lack of effective early warning methods.

The lack of research and judgment or inaccurate prediction of the weather conditions of power grid facilities in the next n hours will lead to the failure of the control center to carry out disaster deployment in advance, or cause large economic losses

[0003] In the existing technology, the analysis of the current meteorological data and the prediction of the meteorological data in the next n hours often adopt the method of manual experience judgment or system judgment, but the above methods have inaccurate prediction, large radius of prediction range, and real-time performance question

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