The invention discloses a power equipment integrated monitoring and early warning system based on big data and an analysis method of the power equipment integrated monitoring and early warning system. The system comprises a sensor group, a monitoring unit group and a power equipment integrated diagnosis platform, wherein the sensor group comprises multiple sensors used for obtaining monitoring parameters of a coupling transformer, a power cable and a GIS; the monitoring unit group comprises monitoring units used for monitoring the monitoring parameters of the coupling transformer, the power cable and the GIS, and each monitoring unit is connected with the corresponding sensor; the power equipment integrated diagnosis platform is connected with the monitoring unit group and used for achieving storage and management of multi-target power equipment monitoring data based on an HDFS, diagnosis based on the MapReduce technology and a fault sample bank, and real-time storage of monitoring index quantity and diagnosis results based on the NoSQL database technology; through a high-speed two-way data transmission mechanism, uploading of mass data monitored by multi-target power equipment in real time to a monitoring center is achieved on one hand, and feedback and early warning of the diagnosis results are achieved on the other hand.