Method and device for data classification and processing of power Internet of things based on cloud-edge collaborative architecture

Abstract

The present invention provides a method and device for classifying and processing power Internet of Things data based on a cloud-edge collaborative architecture, wherein the method includes collecting and collecting raw data at the edge layer and dividing the data into upload data and data to be processed according to the source of the data; using random data The forest algorithm classifies and processes the data to be processed, and obtains classification result data; the edge layer uploads the uploaded data and classification result data to the cloud layer, and uses the LSTM-FCN data classification model in the cloud layer to classify the uploaded data and classification result data. Classified storage. The above-mentioned method and device for classifying and processing data of the power Internet of Things based on the cloud-edge collaboration architecture can avoid the delay of data uploading and waiting for data return, achieve fast response to data, and improve the accuracy of fault diagnosis and classification.

Description

technical field [0001] The invention relates to the technical field of data classification, and in particular, to a method and device for classifying and processing power Internet of Things data based on a cloud-edge collaboration architecture. Background technique [0002] With the continuous development of power Internet of Things technology, the data in the power grid is also increasing. The data sources in the power industry are very complex, including equipment status information from power plants and substations, power consumption information from many areas, and information from sensors monitoring various facilities in remote areas. The existing power Internet of Things based on cloud computing architecture will transfer all these data to the cloud for data analysis and processing, which will not only burden the cloud with a large computing pressure, but also cause a huge bandwidth burden on the data transmission route. This model has been unable to meet the growing ...

AI Technical Summary

Problems solved by technology

The existing Internet of Things based on cloud computing architecture will transfer all these data to the cloud for data analysis and processing, which will not only put a greater computing pressure on the cloud, but also cause a huge bandwidth burden on the data transmission route.

This model has been unable to meet the growing data processing needs of the industry

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