The invention discloses a fully mechanized coal mining face data fusion method based on a big data system, which aims at solving the problem that transmission protocols of working face equipment are different, customizes and develops related driving and interaction methods, and realizes collection and acquisition of multi-source data; in the method, a data stream is sent to a cloud data center in a json character string mode through an Mqtt (Data Publishing/Subscribing Transport Protocol) and a TCP/IP (Transmission Control Protocol/Internet Protocol), and the cloud data center authenticates and processes collected data and transmits the data to a data processing platform; the data processing platform classifies and stores the data in an HDFS (Distributed File System) according to the data stream identifier, and uses a data classification module in the HDFS to perform data filtering, cleaning and data format conversion, finally obtains fused data, and stores the data in a data area so as to support analysis application subsequently.