Title: Smart campus integration system based on SLAM and digital twin drive technology

Authors: Weihua Feng

Addresses: Department of Information Technology, Henan Judicial Police Vocational College, Zhengzhou, Henan 450003, China

Abstract: Building a smart campus integration platform can help colleges and universities solve the difficult and painful problems in the early stage of informatisation construction, such as inconvenient sharing of educational resources, poor experience of service system, insufficient utilisation rate of equipment, and risks of information security. In order to improve the performance effect of smart campus system in university operation and teaching management, this paper establishes a standard information model of smart campus data, and adopts structured data to fuse data to improve the efficiency and accuracy of the system. Moreover, through the integration of big data and digital twin technology, this paper solves the problems of information island, real-time, intelligent service and poor experience in university information system by combining twin data for virtual and real-time integration and real-time interaction. Combining simultaneous localisation and mapping (SLAM) technology for school map drawing and route planning in smart school modelling. In addition, this paper verifies the effect of the smart campus integration system through experimental verification methods. The experimental results show that the comprehensive performance of this system is strong, so it can be seen that the system proposed in this paper is reliable and effective in the smart campus integration system, and the smart campus system can be continuously improved through data mining and digital twinning technology in the follow-up research.

Keywords: data mining; digital twinning; drive; smart campus; integration system.

DOI: 10.1504/IJWET.2025.146741

International Journal of Web Engineering and Technology, 2025 Vol.20 No.2, pp.198 - 218

Received: 06 May 2024
Accepted: 15 Nov 2024
Published online: 16 Jun 2025 *

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