The present invention belongs to the technical fields of the monitoring of partial discharge conditions, the research of fault diagnosis and the application of a gas insulated switchgear in a smart power network, particularly relates to a screening method for status early warning data abnormal values of the gas insulated switchgear. Monitoring data of each gas insulated switchgear is acquired through partial discharge monitoring devices distributed everywhere, and is uploaded to a master station system platform data server of a monitoring and early warning center step by step; abnormal values in the various partial discharge early warning data representing the state features of the gas insulated switchgear are screened and analyzed through a check consistency; features of representative abnormal values in the discharge amplitudes are accurately identified, erroneous judgements of monitoring and early warning and fault diagnosis caused by the abnormal values are avoided; and finally the state of the device is reliably evaluated so as to fully have and distinguish the monitoring data of the device and the environment in real time and contribute to corresponding to the faults of the gas insulated switchgears widely distributed everywhere.