Design and Implementation of Web Information System for Asthma Attacks using Raspberry Pi

As the main target of this paper is to the developing of a flexible system characterized by a low-cost sensing nodes that assures robust and continuous monitoring of air conditions in order to prevent the asthma attacks and other respiratory attacks. At the same time it permits to establish correlations between the air quality parameters, physical parameters and the Appearance of respiratory diseases such as asthma, lung cancer and other respiratory attacks as part of environment medicine approach. The wireless sensor network includes a set of sensing nodes with ability to measure environment parameters like temperature, relative humidity, carbon monoxide among others and to send processed information to a smart coordinator such as the Raspberry Pi which is the new controller which is able load the information on to the web. This paper presents a web information system and a wireless sensor network for indoor or outdoor air quality monitoring with application in asthma trigger factors assessment. Referring to software, a client application that uploads the measured data to a remote air quality server through Internet was designed and implemented. The primary processing is done by the smart coordinator that transmits the processed values of air quality parameters including alarms to a web based information system. Referring the web based information system it assures the human machine interface, the users being capable to receive alerts, and to visualize the data associated with wireless sensor network, and to monitor network status. Alarm will be generated when the temperature, humidity and CO is greater than or equal to the boundary limit set and gives status it’s abnormal.