Power Wireless Heterogeneous Network Management System based on Big Data Technology

In order to support the stable and efficient operation of power wireless heterogeneous network, the power wireless heterogeneous network management system based on big data technology is proposed. The system includes four modules: heterogeneous data acquisition module, resource management module, monitoring alarm module, and decision support module. An improved big data association rule mining algorithm which named the SG-DLYGApriori algorithm is proposed. Based on the traditional Apriori algorithm, the improved algorithm simplifies the calculation of support and reduces the number of times to read the database by constructing the support calculation support array, and improves the efficiency of data analysis in heterogeneous power networks.