Abstract: In view of the limitations of high energy consumption, difficulty in monitoring and low level of management automation in large-scale greenhouses, the intelligent monitoring system of greenhouse integrating photovoltaic power generation, Low power Wide Area Internet of Things (LPWAN) and cloud platform technology has been designed. According to the climate characteristics of southern Guangxi and the growth characteristics of nightshade vegetables, the light intensity and temperature of the two photovoltaic arrangements in the greenhouse were analyzed by ECOTECT, and it was concluded that the lighting and heat dissipation of the chessboard photovoltaic greenhouse were more suitable for its growth. The greenhouse environmental parameters are collected and transmitted by the LoRa and NB-IoT of the lower computer using its unique advantages in the self-organized star network. Remote monitoring and intelligent supervision are realized on PC and mobile terminal through B/S structure, RBF-PID intelligent control strategy and cloud platform technology. The application shows that the system has a packet loss rate of no more than 3.4% at a communication distance of 1.5 km in a complex environment, and its communication success rate of more than 96%. And it can maintain various environmental parameters within the optimal production threshold for a long time, which helps to improve the output and quality of nightshade vegetables, and also provides a new idea for the intelligent monitoring system of photovoltaic greenhouses.

Key words: wireless sensor network, PV, LPWAN, LoRa, NB-IoT, remote monitoring