Title :
A temperature auto-monitoring and frost prevention real time control system based on a Z-BEE networks for the tea farm
Author :
Hong, Chen ; Shuhui, Zhang
Author_Institution :
Sch. of Comput. Sci. & Software, Nanjing Inst. of Ind. Technol., Nanjing, China
Abstract :
In order to prevent tea plant from frost damage, a temperature auto-monitoring and frost prevention real time control system based on a Z-BEE wireless sensor networks for tea farm is designed. The system is constructed by a Z-BEE wireless sensor networks, temperature sensors, an ARM9 S3C2410 chip, fans for frost prevention and an IBM personal computer with GIS and a tea farm management and control system. Temperature information in the tea farm, combined with its position information, is transmitted to the management center by the Z-BEE wireless sensor networks. In the management center, GIS is employed to management temperature sensors and fans in the tea farm. The system can be used to fulfill real time temperature auto-monitoring, control the fans to blow air in the thermal inversion layer to the canopy of the tea plant to prevent the tea plant from frost damage and ensure the quality and quantity of tea production in tea farm.
Keywords :
agriculture; computerised monitoring; condition monitoring; control engineering computing; crops; geographic information systems; production engineering computing; radiotelemetry; real-time systems; temperature control; temperature measurement; wireless sensor networks; ARM9 S3C2410 chip; GIS; IBM personal computer; Z-BEE wireless sensor networks; fans; frost prevention real time control system; management center; management temperature sensors; position information; real time temperature automonitoring control system; tea farm management; tea plant; tea production quality; temperature information; temperature sensors; thermal inversion layer; Logic gates; Monitoring; Visualization; Wireless sensor networks; Zigbee; Z-BEE wireless sensor networks; frost prevention; real time control; tea farm; temperature auto-monitoring;
Conference_Titel :
Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2363-5
DOI :
10.1109/EEESym.2012.6258741
