基于人工智能的电力工程施工数据融合研究

随着能源转型和数字化发展,数据已经成为企业发展必不可少的生产要素,数据融合能够实现多种类型数据的集成应用。该文设计电力工程施工数据融合的思路和技术架构,给出电力工程数据获取途径,研究基于人工智能的数据融合程序和评价指标,优选完整性大于70%、连续性100%的ResNet18人工智能模型进行电力工程施工数据融合,实现电力工程施工数据的深度关联,是电力企业转型发展的重要基础,能够为相关工程领域数据融合提供参考。

With the development of energy transformation and digitization,data has become an indispensable factor of production for the development of enterprises,and data fusion can realize the integrated application of many types of data.This paper designs the idea and technical framework of power engineering construction data fusion,gives the way of power engineering data acquisition,studies the data fusion program and evaluation index based on artificial intelligence,and selects the ResNet18 artificial intelligence model with more than 70%integrity and 100%continuity for power engineering construction data fusion,which realizes the deep correlation of power engineering data,which is an important foundation for the transformation and development of electric power enterprises and can provide reference for data fusion in related engineering fields.