基于多源数据融合的建筑环境智能监控系统

Intelligent monitoring system for building environment based on multi-source data fusion

为了优化无线通信质量,精确监控建筑环境温度、湿度等数据,设计基于多源数据融合的建筑环境智能监控系统。通过嵌入式ARM单片机构建系统主控模块来控制系统各个模块,实现建筑环境智能监控。ZigBee传感器采集模块利用传感器实时获取建筑环境数据,多源数据融合模块利用自适应加权融合方法融合采集到的多源数据,无线通信模块采用NB-IOT技术与LEACH算法将融合后的建筑环境数据传输至远程监测模块。远程监测模块根据建筑环境数据,采用BP神经网络监测建筑环境,且用户可通过远程监测模块浏览、查询建筑环境智能监控数据。经实验验证,该系统具有较高的生命周期,无线通信距离较长、安全性较高且传输速率较快,还能够精确监测建筑环境温度、湿度以及二氧化碳浓度等数据。

In order to optimize the wireless communication quality and accurately monitor the building environment temperature, humidity and other data, an intelligent building environment monitoring system based on multi-source data fusion is designed. The main control module of the system is constructed by embedded ARM single chip microcomputer, and each module of the system is controlled to realize the intelligent monitoring of the building environment. The sensor to obtain the building environment data in real time in ZigBee sensor acquisition module, the adaptive weighted fusion method to fuse the collected multi-source data in the multi-source data fusion module, and NB-IOT technology and LEACH algorithm in the wireless communication module uses to transmit the fused building environment data to the remote monitoring module. BP neural network to monitor the building environment according to the building environment data in the remote monitoring module uses, and users can browse and query the intelligent monitoring data of the building environment through the remote monitoring module. Experiments show that the system has a high life cycle, long wireless communication distance, high security and fast transmission rate. It can also accurately monitor the data of building ambient temperature, humidity and carbon dioxide concentration.