The invention relates to an intelligent power grid comprehensive construction engineering contribution degree analyzing, monitoring and early warning method and an intelligent power grid comprehensive construction engineering contribution degree analyzing, monitoring and early warning device. The intelligent power grid comprehensive construction engineering contribution degree analyzing, monitoring and early warning method includes: using a computer to build an intelligent power grid comprehensive construction engineering contribution degree model; respectively calculating weights among all levels of indexes of the intelligent power grid comprehensive construction engineering contribution degree model; calculating contribution degrees of all subsystems for the index of the second level; weighing all the contribution degrees of all the subsystems for the index of the second level so as to obtain contribution degrees of all the subsystems for the index of the first level, and then weighing all the contribution degrees of all the subsystems for the index of the first level so as to obtain contribution degrees of all the subsystems for comprehensive engineering; monitoring all the contribution degrees of all the subsystems for the comprehensive engineering, comparing monitoring values of the contribution degrees of all the subsystems for the comprehensive engineering with a preset standard value, and sending an early warning signal when each contribution degree monitoring value is less than the preset standard value. The intelligent power grid comprehensive construction engineering contribution degree analyzing, monitoring and early warning method and the intelligent power grid comprehensive construction engineering contribution degree analyzing, monitoring and early warning device can monitor the contribution degrees of all the subsystems for the comprehensive engineering, send out the early warning signals when the monitoring values of the contribution degrees of all the subsystems for the comprehensive engineering are less than the corresponding standard value, and thereby achieve a pertinence early warning function for practical engineering.