Dynamic-modification-combined storm rainfall fine alarming method for power grid zone

Abstract

The invention discloses a dynamic-modification-combined storm rainfall fine alarming method for a power grid zone. The method includes an S1 step of forecasting local precipitation amount, generating forecasting information and extracting forecast values of precipitation at tower positions of a power grid; an S2 step of extracting position information of towers of the power grid meeting condition for rainstorms and storm rainfall information; an S3 step of determining correcting indexes by utilizing history observational data of a meteorological station and corresponding forecast information, correcting the forecast values of precipitation at the tower positions of the power grid of the current date according to the correcting indexes and acquiring the final forecast result; and an S4 step of making priory forecast of power equipment according to the final forecast result and publishing rainstorm disaster early warning information for the towers of the power grid. By adopting the method provided by the invention, accuracy of the storm rainfall forecast value of the current date is improved effectively, so that an effective information guarantee is made for rainstorm disaster early warning.

Description

technical field [0001] The invention relates to a fine-grained early-warning method for heavy rainfall, in particular to a fine-grained early-warning method for heavy rain in a power grid area based on regional historical statistics, and belongs to the technical field of meteorological disaster forecasting. Background technique [0002] Traditional power meteorological services are mainly based on large-scale conventional forecasts, and the forecast products lack pertinence and diversity, and cannot fully meet the needs of power production scheduling. As the public, especially meteorological public personnel, have higher and higher requirements for weather forecast and meteorological services, refined forecasting has become an inevitable trend in the development of meteorological services. [0003] Rainstorm is one of the main meteorological disasters, and the accuracy of its forecast directly affects the efficiency of people's disaster warning work. Accurate rainstorm (≥50...

AI Technical Summary

Problems solved by technology

However, the existing fine-grained rainstorm forecast for power grid areas is based on the overall forecast of rainstorms in a certain area, lacking accurate forecasts for the area where power grid towers are located, and early warning information can only be released through manual judgment, which is likely to cause judgment errors

And although the reference value of numerical prediction products is very high, the prediction effect of numerical models is not so ideal because the results are affected by the resolution of the model's initial field, boundary conditions, physical processes, terrain, vegetation, and the design of the model itself. , there is inevitably a certain error between the forecast product and the actual observation value

Without accurate information on the amount of rainstorms, it is impossible to provide information guarantee for the early warning of rainstorm disasters, resulting in the inability to take timely and effective measures to reduce or even prevent damage.

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