多源信息融合的环境舒适度检测与评价

Detection and Evaluation of Environmental Comfort Degree in Multi-Source Information Fusion

摘要:

为了能够实现对室内环境的监测和舒适度的调节,首先需要获取准确、及时的室内环境参数。针对目前室内环境监测系统存在自动化程度低、检测点部署欠灵活,安装维护困难,监控难度大等问题,设计开发了一种基于无线传感网络的室内环境监测系统。以ZigBee技术为核心,构建无线传感器网络,自动采集和传输室内相关环境参数；通过结合物联网云平台,实现远程监控和报警；运用模糊综合评价的方法,通过统计、分析、计算,得到符合实际的室内环境舒适度水平。本系统通过硬件设计降低了室内环境监测成本,通过软件设计提高了系统的监测水平和灵活性,通过结合模糊综合评价方法和物联网云平台降低了监控难度。经实验,验证了本系统在实际环境下的使用性能,适合推广应用。

Abstract:

Aiming at the problems of low automatization level, less flexible detection point deployment and difficult installation maintenance, a low power indoor environment monitoring system based on wireless sensor network is designed. Taking ZigBee technology as the core, constructing wireless sensor network, collecting and transmitting indoor environment parameters automatically, realizing remote monitoring and alarming by combining the cloud platform of IoT, and using the method of fuzzy synthetic evaluation, the level of indoor environment comfort is obtained by statistic, analysis and calculation.