TY - GEN
T1 - Research on remote measurement and control system of piggery environment based on LoRa
AU - Liu, Xingqiao
AU - Huo, Caihong
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/29
Y1 - 2017/12/29
N2 - A remote monitoring system of piggery environment based on LoRa was designed in view of the shortcomings of the short distance, the complex network and the weak anti-interference ability of the wireless monitoring network in piggery environment. According to the requirements of data transmission distance and low power consumption, a wireless network based on LoRa technology was proposed; The SX1278 chip was used as RF module to transmit and receive data, combined with GPRS module to the INTERNET network;The PID control algorithm based on BP neural network is researched to realize accurate regulation of the environment. Through actual debugging, the LoRa module has good communication distance, low packet loss rate, stable operation of the server, and the NH3 concentrations ranged from 1.98 to 3.98 mg/m3, which were less than the setting value of 8.9 mg/m3. Therefore, the system can precisely adjust environmental factors adapted to the needs of pig breeding.
AB - A remote monitoring system of piggery environment based on LoRa was designed in view of the shortcomings of the short distance, the complex network and the weak anti-interference ability of the wireless monitoring network in piggery environment. According to the requirements of data transmission distance and low power consumption, a wireless network based on LoRa technology was proposed; The SX1278 chip was used as RF module to transmit and receive data, combined with GPRS module to the INTERNET network;The PID control algorithm based on BP neural network is researched to realize accurate regulation of the environment. Through actual debugging, the LoRa module has good communication distance, low packet loss rate, stable operation of the server, and the NH3 concentrations ranged from 1.98 to 3.98 mg/m3, which were less than the setting value of 8.9 mg/m3. Therefore, the system can precisely adjust environmental factors adapted to the needs of pig breeding.
KW - Neural Network
KW - PID
KW - Server
KW - SX1278
UR - http://www.scopus.com/inward/record.url?scp=85050539805&partnerID=8YFLogxK
U2 - 10.1109/CAC.2017.8244042
DO - 10.1109/CAC.2017.8244042
M3 - Conference contribution
AN - SCOPUS:85050539805
T3 - Proceedings - 2017 Chinese Automation Congress, CAC 2017
SP - 7016
EP - 7019
BT - Proceedings - 2017 Chinese Automation Congress, CAC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Chinese Automation Congress, CAC 2017
Y2 - 20 October 2017 through 22 October 2017
ER -