Sensor network for PM2.5 measurements on an academic campus area

摘要: Fine particulate matter (PM2.5 ) pose a serious threat to health. Therefore it should be monitored assess its health impacts and take actions reduce pollution. However, the traditional regulatory measuring stations are not able capture spatial temporal variability of PM2.5 concentrations. The opportunity improve resolution data is based on dense networks miniaturized low-cost sensors. article presents sensor network for campus area Wroclaw University Science Technology. This system consists 20 nodes, distributed both narrow scale (14 devices main area) wide (devices campuses in distant parts city). Sensor have been equipped with optical sensors A003 from Plantower company heated inlets. Dedicated website map used present up-to-date information about air quality public. Messages index, calculated every 15 minutes. demonstrates also few results preliminary measurements, when episodes elevated concentrations were observed. nodes proved an useful tool monitor changes pollution during such events.