Investigating distribution of sensors in canal and feedforward control simulation for canal automation
Abstract
Taiwan has a relatively unusual hydrology state, in which the actual accessible water resource is well below the world average. As a result, allocating water resource is a constant issue in Taiwan. At the aspect of agricultural water usage, it takes almost 70% of accessible water resource, but the present allocation system of agricultural water cannot prevent waste of water. So the canal automation system, namely, kind of smart agriculture system is well discussed nowadays. Even lots of robust canal automation systems are currently using worldwide, developing canal automation system is a complicated procedure that depend on location and its agricultural culture. To achieve canal automation, the canal must have sensors to retrieve real-time data of canal, so investigating the optimal distribution of sensors is the first and important step to canal automation. This study focused on Shimen Irrigation District which had a clear canal system, using information theory to discuss the optimal strategies for setting up sensors. Moreover, a one-dimensional water profile model considering uncertain data is constructed for simulation of feedforward control problem. These two components of canal automation system are essential for developing a comprehensive algorithm.
- Publication:
-
EGU General Assembly Conference Abstracts
- Pub Date:
- April 2019
- Bibcode:
- 2019EGUGA..21.6418H