Abstract: In this paper, the application modes of Internet of Things, big data, cloud computing, artificial intelligence and other information technologies in the equipment condition monitoring at the station of intelligent pipeline were discussed in the background of intelligent pipeline construction of "full digital transfer, full intelligent operation and full life cycle management". In order to meet the new demands and modes of condition monitoring, 4 key technologies of equipment condition monitoring at the station of intelligent pipeline were proposed and researched, including information perception technology, data storage technology, data mining and intelligent analysis technology, and visual display technology. Then, a four-layer framework of equipment condition monitoring platform was designed correspondingly, including intelligent perception layer, data storage layer, intelligent diagnosis layer and visual layer. The relevant researches provide the technical method for the monitoring of key equipment condition of intelligent pipeline.