Research on the Construction of Smart Campus Social Platform Based on Hadoop

In view of the shortage of resources and low utilization rate of resources in the campus, relying on advanced technologies such as big data, cloud computing and the Internet of things, the smart campus social platform is designed and developed, and deployed on the cloud server to provide real-time information release, campus dynamic understanding and resource sharing in the campus. In order to build a "clean" and "harmonious" campus website, the platform uses prefix tree algorithm to filter sensitive words. In the process of platform design, the problem of interface blocking or even downtime is solved by asynchronous processing. The platform uses Solr search engine to realize document storage and full-text search. The test results show that the platform has strong stability, shortens the search time, and provides convenience for teachers and students.