The invention discloses a model-driven-based intelligent diagnosis method for a secondary equipment state for a transformer substation. On the basis of a primary equipment topology, calculating an operation state of primary equipment; on the basis of an IEC61850 model configuration file, establishing a secondary equipment topology of a transformer substation and analyzing the operating state of the secondary equipment by combing listing information of the secondary equipment; establish an intelligent diagnosis service logic model library through standardized modeling according to an exit ruleof the soft board of the secondary equipment of the transformer substation and carrying out description by using an XML-based logic description language; and acquiring a service logic model by loadingthe intelligent diagnosis model library, completing mapping between a service logic model and a substation monitoring system database, generating an intelligent diagnostic model instance, and then completing the diagnosis of the secondary equipment state based on relevant real-time data of the substation monitoring system database. Therefore, the standardization of the state diagnosis function ofthe secondary equipment of the transformer substation is promoted.