The current traditional data distribution algorithms lead to poor distribution due to the lack of mapping processing of data. In this regard, the research of data distribution based on AHM attribute hierarchy model is proposed. The AHM structural model is constructed, the data is mapped and processed, and the slice key is specified as the system index basis to realize data slice, and finally the data distribution strategy is proposed by combining the optimization method of virtual node distribution method. In the experiments, the data distribution performance of the proposed method is verified. The analysis of the experimental results shows that the data connection query time is shorter when the proposed method is used for data processing, and it has a more excellent data processing performance.

The conventional icing detection method is mainly based on the manual detection of icing status. The texture correlation characteristics of icing are variables, which lead to large errors in the icing edge detection and affect the subsequent maintenance of transmission lines. Therefore, the transmission line icing detection method based on machine vision is designed in this paper. The method comprises the following steps of extracting the icing texture feature of the transmission line, namely extracting the correlation feature of an icing image, identifying an icing area by using machine vision technology, carrying out edge detection on the transmission line and finally obtaining the icing thickness of the transmission line to realize the accurate detection on the icing of the power transmission line. The comparative experimental results show that the detection error of this method is small, the detection accuracy is high, and it can be applied to real life.