基于证据理论和物联网的校园环境采集系统设计

Design of Campus Environment Acquisition System Based on Evidence Theory and Internet of Things

作为一个相对封闭的大型集聚场所,校园环境的质量不仅关乎师生健康,对学习效率也有一定影响。在传统的环境监测系统中,各功能模块之间相互独立,无法互通信息、协调运行,反而增加监管人员的管理负担。本文基于物联网搭建校园环境采集系统,并通过改进的证据理论对多传感器数据进行融合。仿真结果表明,在证据之间冲突较大的情况下,改进证据理论依然可以保持较高的融合效率与精度,帮助系统做出符合实际情况的决策。

As a relatively enclosed large gathering place,the quality of campus environment not only affects the health of teachers and students,but also has a certain impact on learning efficiency.In the traditional environmental monitoring system,each functional module is independent of each other,unable to interoperate information,coordinated operation,but increase the management burden of supervisors.This article builds a campus environment collection system based on the Internet of Things and integrates multi-sensor data through improved evidence theory.The simulation results show that in situations where there are significant conflicts between evidence,improving evidence theory can still maintain high fusion efficiency and accuracy,helping the system make decisions that are in line with actual situations.