基于CAN网络和DenseNet技术的数据治理分析

Data governance analysis based on CAN network and DenseNet technology

针对在电力企业输电项目中有异常数据干扰的问题,研究设计了一种基于生成对抗网络和DenseNet的数据治理分析系统。将生成对抗网络(GAN)的生成模块和判别模块,DenseNet技术的数据治理实时分析模块功能结合,实现对输电项目监视的图像数据收集和进行安全性分析。另外改进GAN扩充其生成模块的图像数据量,提高生成图像数据的效率。加入人工智能和5G通信,达到对所反馈的异常数据进行实时处理的要求。本系统采用了测控装置、计量装置以及一些综合自动化技术来实现输电项目的实时监视。所研究的系统具有较强的实用性和优越性。

Aiming at the problem of abnormal data interference in power enterprise transmission projects,a data governance analysis system based on generative adversarial network and DenseNet was designed.The generation module and discriminant module of Generative Adversarial Network(GAN)and the real-time analysis module of data governance of DenseNet technology were combined to realize image data collection and safety analysis for transmission project monitoring.In addition,GAN was improved to expand the amount of image data in its generation module,improving the efficiency of generating image data.Artificial intelligence and 5G communication were added to meet the requirements of real-time processing of abnormal data feedback.The system used measurement and control devices,metering devices,and some integrated automation technologies to achieve real-time monitoring of power transmission projects.The studied system has strong practicability and superiority.