A Data-Driven Approach to Performance Improvement in University Dormitory Management Based on Internet of Things Technology

Abstract

In the course of developing smart campuses and digitising the management of university logistics, the traditional dormitory management system has many problems, such as information lag, passive control, slow response times, resource waste and subjectivism, and has failed to achieve good governance. A Data-driven Dormitory Management Framework Based on the Internet of Things (IoT) for Perception, Intelligent Application and Performance Evaluation is Proposed in This Paper. Based on the above analysis, the general idea is to add real-time environmental monitoring and automatic control to the dormitory management system with Raspberry Pi 3B+ and DHT11. Based on the experimental results, the system can operate normally, automatically adjust the air conditioning according to the preset limit, and thus improve management efficiency and enhance the living environment for the students. Therefore, it can be concluded that the development of Internet of Things technology will help to promote the construction of an early warning and data-driven management system in university logistics and advance the digitalisation of the system.