Street lamp life prediction method based on wavelet packet-GRU neural network

Abstract

The invention discloses a street lamp life prediction method based on a wavelet packet-GRU neural network, and the method comprises the following steps: 1, obtaining the voltage, current, brightness and other parameters of a street lamp and the life of the street lamp, calculating a Pearson's correlation coefficient, and selecting the input data with higher correlation; 2, performing Z-score standardization processing on the input data; 3, constructing a street lamp life prediction model; and 4, predicting the life of the street lamp by using the constructed street lamp life prediction model. The street lamp life prediction model based on the wavelet packet-GRU neural network is used for performing high and low frequency decomposition on input data according to frequency bands through the wavelet packet, noise can be effectively filtered, local analysis can be more effectively performed on the input data, then the time correlation of the sequence is analyzed through the GRU neural network, the residual life of the street lamp is effectively predicted, so that a user manager can replace the street lamp to be damaged in advance, and various negative consequences caused by damage of the street lamp are effectively avoided.

Description

technical field [0001] The invention relates to a street lamp life prediction method based on a wavelet packet-GRU neural network, which belongs to the technical field of street lamp life prediction. Background technique [0002] With the continuous development of the urbanization process, urban roads, as the "blood" of the city, are also flourishing. As a necessary road lighting tool, street lamps play an important role in the process of urbanization. Street lights can not only improve driving conditions at night, but also reduce the probability of traffic accidents, improve people's sense of security, and provide a beautiful landscape for the city at night. [0003] With the sharp increase in the number of street lamps, the maintenance of street lamps has attracted more and more attention. Damaged street lamps not only affect the appearance of the city, but also cause great safety hazards. When the street lights are damaged, the dark road environment greatly affects the...

AI Technical Summary

Problems solved by technology

[0003] With the sharp increase in the number of street lamps, the maintenance of street lamps has attracted more and more attention. Damaged street lamps not only affect the appearance of the city, but also cause great safety hazards.

When the street lights are damaged, the dark road environment greatly affects the driver's sight and leads to road safety accidents

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