Due to any network failure of the power dispatching network may lead to serious accidents, it is required to have high reliability and safety. Faced the large amount of data, the traditional network monitoring system cannot meet the demand at present in terms of the actual processing capacity and expansion capacity. Therefore, a special real-time data analysis platform is needed for the real-time analysis and processing of large amount of data. This study constructed a platform based on flow calculation. Spark Streaming in Apache Spark of the open source stream computing framework, adding Kafka message queue and Redis memory database components, provides stable data sources and efficient interface for data analysis and data service platform, so as to realize the real-time analysis and processing of all kinds of massive data, thus to complete the flow anomaly monitoring of power dispatching network.