面向智慧小区的环境监测与控制研究

Research on Environmental Monitoring and Control for Smart Community

随着经济的高速发展,人们的生活水平得到了极大提高,对小区生活环境的要求也越来越高。如今智慧社区建设已成为关注的热点,小区环境监测与分析将有助于指导小区管理者对环境状况作出正确决策,从而改善住户的生活环境。从小区多种环境因子的复杂关系入手,利用传感器实时采集小区的温度、湿度、PM2.5、风速及噪声等关键参数,结合多数据融合技术,采用改进的D-S证据理论进行全局融合决策,实现对小区环境智能控制的精准决策。相较于利用单传感器数据进行决策的模式,多数据融合技术有效结合了各环境因子的不同作用结果,提高了决策的准确性;相较于传统DS算法结果,该方式对正确决策的支持度提升了39%。

With the rapid development of economy,people’s living standards have been greatly improved,and began to pursue a more ideal community living environment.At present,the construction of smart community is being carried out fervently.The monitoring and analysis of the community environment will help guide the community managers to make correct decisions on the environmental conditions,so as to improve the living conditions of residents.The research starts with the complex relationship of multiple environmental factors in the community,uses sensors to collect key environmental parameters such as temperature and humidity,light intensity,PM2.5 and noise in the community in real time,combines multi-data fusion technology,and adopts improved D-S evidence theory to make global fusion decision-making,realizing accurate decision-making for intelligent control of community environment.Compared with the decision-making model using single-sensor data,multi-data fusion technology effectively combines the different effects of various environmental factors and improves the accuracy of decision-making.Compared with the results of traditional DS algorithms,the support for correct decisions has increased by 39%.