Title :
Software Development of Comfort Degree Monitoring System for Intelligent Environments
Author :
Li Hui ; Duan Peiyong ; Wang Zhong
Author_Institution :
Sch. of Thermal Energy Eng., Shan Dong Jianzhu Univ., Ji´nan, China
Abstract :
With the development of intelligent environments, The human have increasingly demanding for comfortable living environments. The three major factors affecting occupants´ comfort are thermal comfort, visual comfort and air quality. This paper presents a comfort degree monitoring platform for intelligent environments based on ZigBee wireless sensor network that measures the environment´s parameters and actively controls the corresponding equipments according to the information collected and users´ preferences. The software programming of wireless sensor network node adopts TinyOS operating system that can quickly compile the application-specific software by component programming methods. The Mini2440 development board is chosen as the hardware platform of host computer that communicates with the gateway module in master node by USB interface. The software design of host computer adopts SQLite database and Qtopia. The monitoring interfaces of the system include mode selection interface, operation status monitoring interface, data query interface, device control interface and trends Interface. The monitoring platform presented in this paper is flexible, powerful, and scalable, which can be applied to the other monitoring fields with minor modifications.
Keywords :
SQL; Zigbee; operating systems (computers); peripheral interfaces; software engineering; wireless sensor networks; Mini2440 development board; Qtopia; SQLite database; TinyOS operating system; USB interface; ZigBee wireless sensor network; air quality; comfort degree monitoring system; component programming methods; data query interface; device control interface; intelligent environments; operation status monitoring interface; software development; thermal comfort; trends Interface; visual comfort; Automation; Manufacturing; Wireless sensor network; intelligent environments; monitoring platform;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICDMA.2013.288