In order to grasp the aquaculture water quality and meteorological environment information in real time, and to solve the problems of non-linearity, large inertia and time delay in the process of dissolved oxygen control, aquaculture environment monitoring and control system was designed based on the circulating water tank aquaculture model. PLC was used to collect and transmit information such as dissolved oxygen, pH, temperature, humidity, wind speed, wind direction and atmospheric pressure in the aquaculture environment. The environmental information was displayed by the upper computer in real time and processed with fuzzy algorithms, and the processed results were transmitted as the output of the PLC to the inverter, which controlled the aerator to adjust the amount of dissolved oxygen in the water. The results show that the system can transmit and display the above-mentioned parameter information in real time, and provide historical data and environmental abnormality alarm functions. In the process of adjusting dissolved oxygen, fuzzy control has small overshoot and high accuracy, and the deviation of dissolved oxygen is ± 0.4mg / L, which reduces the number of start and stop times of the aerator and prolongs the equipment life. The monitoring system achieved the expected results when it was subject to field application test. Therefore, it can be promoted and applied in aquaculture.
LIU Yuqing
,
LI Zhihao
,
CAO Shouqi
,
WANG Yaru
. Design of intelligent monitoring system for aquaculture environment based on fuzzy control[J]. Fishery Modernization, 2020
, 47(2)
: 25
-32
.
DOI: 10.3969/j.issn.1007-9580.2020.02.004