TY - JOUR
T1 - An intelligent monitoring system for a pig breeding environment based on a wireless sensor network
AU - Chen, Chong
AU - Liu, Xingqiao
N1 - Publisher Copyright:
© 2019 Inderscience Enterprises Ltd.
PY - 2019
Y1 - 2019
N2 - The piggery environment is an important factor affecting health level, growth and development of pigs. To facilitate environmental monitoring for large-scale pig farms, an environmental monitoring system of air quality parameters for livestock breeding is developed based on a wireless sensor network (WSN). As the piggery environment is a multi-variable, nonlinear and time-varying system, there are coupling effects among them. Fuzzy controllers are designed to control temperature and humidity, respectively. To reduce the coupling effect, a compensation decoupling controller is designed. Experimental results indicated that, compared with the data from an air quality analyser, measurement precision of temperature, humidity, ammonia and carbon dioxide in a WSN system was higher. Furthermore, the control accuracy of temperature and humidity was also higher. The monitoring system was used in Zhenjiang, Jiangsu Province, China, and it performed well, and it was demonstrated to be suitable for the intelligent monitoring and control in livestock breeding.
AB - The piggery environment is an important factor affecting health level, growth and development of pigs. To facilitate environmental monitoring for large-scale pig farms, an environmental monitoring system of air quality parameters for livestock breeding is developed based on a wireless sensor network (WSN). As the piggery environment is a multi-variable, nonlinear and time-varying system, there are coupling effects among them. Fuzzy controllers are designed to control temperature and humidity, respectively. To reduce the coupling effect, a compensation decoupling controller is designed. Experimental results indicated that, compared with the data from an air quality analyser, measurement precision of temperature, humidity, ammonia and carbon dioxide in a WSN system was higher. Furthermore, the control accuracy of temperature and humidity was also higher. The monitoring system was used in Zhenjiang, Jiangsu Province, China, and it performed well, and it was demonstrated to be suitable for the intelligent monitoring and control in livestock breeding.
KW - Decoupling control
KW - Environmental control
KW - Fuzzy control
KW - Intelligent monitoring
KW - Livestock breeding
KW - WSN
KW - Wireless sensor network
UR - https://www.scopus.com/pages/publications/85063731070
U2 - 10.1504/IJSNET.2019.098559
DO - 10.1504/IJSNET.2019.098559
M3 - Article
AN - SCOPUS:85063731070
SN - 1748-1279
VL - 29
SP - 275
EP - 283
JO - International Journal of Sensor Networks
JF - International Journal of Sensor Networks
IS - 4
ER -