|Xue, Xinyu -|
|Liang, Jian -|
|Liu, Pingzeng -|
Submitted to: Advances in Hydro-Science and Engineering
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: July 30, 2010
Publication Date: October 20, 2010
Citation: Xue, X., Liang, J., Liu, P., Lan, Y. 2010. Development of a distribution system for measuring nozzle integrative parameters. Advances in Hydro-Science and Engineering. 3:133-138. Interpretive Summary: Systems are available to produce and direct spray applications of agricultural chemicals for effective crop production and crop protection. However, improvements are needed for monitoring the nozzle spray application to ensure optimal performance. An integrated system of sensors and computer-controlled processing technology was developed that accurately monitored the flow rate, spray angle, and droplet distribution of agricultural chemicals emitted through spray nozzles. These results will lead to spray application that more effectively manage quantities of applied agricultural chemicals and reduce environmental contamination.
Technical Abstract: The experimental system used in this study was equipped with sensors and computer-controlled processing technology. This system was used in the measurement of major performance parameters such as pressure, flux, spray angle, spray distribution character of the nozzle and its integrative performance parameter. It could also achieve precise and synchronous measurements and process multiple parameters. Measuring position of a single nozzle was also available for three-dimensional adjustment by nozzle transmission frame. The boom could achieve two-dimensional precision adjustment. Fluid power supply system could ensure the accurate measurement of nozzle flow between 50-15000 ml/min. The control system consisted of a PC, a CCD image acquisition system, data acquisition cards, sensors, and single chip microcomputer. The spray angle was measured by image processing technique. Data fusion technology was used to improve the precise measurement of spray angle. Neural network technology was used to improve the precision and speed of the system. The results showed that it is promising for using this system for measuring nozzle integrative parameter.