Power transmission line icing type prediction method based on deep learning

A transmission line, deep learning technology, applied in neural learning methods, biological neural network models, special data processing applications, etc. The effect of enriching forecasting tools

Active Publication Date: 2021-07-02
GUIZHOU POWER GRID CO LTD
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method for predicting the type of icing on transmission lines to solve the problems in the prior art that the prediction of the type of icing is not a true prediction of the future time period and the prediction error rate is relatively high. technical problem

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  • Power transmission line icing type prediction method based on deep learning
  • Power transmission line icing type prediction method based on deep learning
  • Power transmission line icing type prediction method based on deep learning

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Embodiment Construction

[0032] Such as figure 1 As shown, a kind of prediction method of transmission line icing type based on deep learning of the present invention comprises the following steps:

[0033] Step 1. Obtain historical sounding data: The high-altitude meteorological observatory releases sounding balloons twice a day. The balloon sounding data contains meteorological information such as temperature and dew point temperature at different altitudes of the sounding activity. at time S 0 Not started and S e As the end time, obtain the daily sounding data of upper-air meteorological observatories during this period. Since the ascent speed of the sounding balloon and the pressure height at the time of the final detection data are uncontrollable, it is necessary to limit the research data to a certain range of pressure height to facilitate data analysis and comparison. For this purpose, set the highest and lowest barometric altitudes relative to the ground, which are recorded as [H 0 ,H]. ...

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Abstract

The invention discloses a transmission line icing type prediction method based on deep learning. The method comprises the following steps: acquiring historical sounding data; the detection data of different heights, the ground temperature, the ground humidity and the power transmission line icing type at the detection starting moment forming a group of data; obtaining an observation set C and drawing a temperature-barometric height map; the images, corresponding ground temperature, humidity and power transmission line icing types forming a group of data, and finally obtaining a data set and dividing the data into a training set and a test set; using the training set to train the CNN neural network, and using the test set to perform inspection; setting a prediction area range A, and determining temperature and dew point temperature of different air pressure heights at a prediction point and predicted values of temperature and humidity at the prediction point; making a temperature-pressure height map and converting the temperature-pressure height map into a picture; and inputting the picture into a neural network model to predict the future icing type of the power transmission line at the prediction point. The technical problem that the prediction error rate is high in the prior art is solved.

Description

technical field [0001] The invention belongs to the field of icing monitoring of power transmission lines, in particular to a method for predicting icing types of power transmission lines based on deep learning. Background technique [0002] In recent years, with the gradual acceleration of urbanization, the load of power supply systems in many cities has also shown a rapid growth in the form of application. Only by strengthening the safety construction of urban power transmission systems can we ensure the use of electricity for urban production and life; icing is It is a relatively common phenomenon on transmission lines in winter, but its threat to the power system cannot be underestimated; the early warning of icing disasters on transmission lines has also received more and more attention along with the construction of transmission lines. [0003] The early warning of icing disasters on transmission lines is mainly to judge the icing situation on transmission lines in the...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06N3/04G06N3/08
CPCG06F30/20G06N3/08G06F2111/10G06N3/045
Inventor 吴建蓉文屹张迅黄欢范强彭赤杜昊张伟吴瑀卢金科杨涛黄军凯刘华麟邱实涂心译万金金
Owner GUIZHOU POWER GRID CO LTD
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