The Research And Design Of Greenhouse Control System Based On 6LoWPAN Technology

With the continuous development of science and technology, more and more high-tech production has been applied to agricultural, such as greenhouse technology. Greenhouse as an important form of modern agriculture, which brought great convenience to people’s lives, has been the rapid development and wide application. However, due to the current China’s agriculture cannot be fully automated, or regulation of agricultural greenhouses mainly manual, and they need for human care. Thus, the demand for automation of agricultural greenhouses is more urgency. The monitoring study of agricultural greenhouses has become a hot issue to be solved.In recent years, the applicability of the greenhouse control system is hindering the development of the greenhouse industry, greenhouse needs a lot of low cost, high reliability, convenient operation, strong applicability of intelligent greenhouse control system. The rise of wireless networking technology can provide technical support for regulation of agricultural greenhouses. The use IPV6 protocols and international standards IEEE802.15.4 bonded 6Lo WPAN protocol due to the low power consumption, rich IP address resources and high stability, is becoming the direction of development of wireless sensor networks. This paper use 6Lo WPAN technology to achieve greenhouse real-time data acquisition and transmission greenhouses, combined with intelligent control algorithms and techniques designed mobile computers and other real-time access to data, and then be viable options for greenhouse monitoring.This paper introduces the design process of the greenhouse data monitoring system, comprising: 6Lo WPAN sensor network nodes, 6Lo WPAN gateways, wireless communications, PC interface, etc.; hardware system circuit: includes a wireless receiver, MCU and wired network interface; to each sensors assign a network address to write PC interface, and each address data collection, greenhouse obtain parameter data. Next, the system collected temperature, humidity, CO2, light intensity, etc., based on energy conservation, carbon conservation principle greenhouse mathematical modeling. At the same genetic algorithm, parameter control greenhouse optimized to give the best control parameters; then, adaptive weighted data fusion algorithm, the same type of sensor fusion of multiple data together to reduce transmission errors and data instability; on this basis, regularly updated in order to achieve optimum parameters for greenhouse plants required parameter update encounter unexpected external interference and designed a set of intelligent control processes in order to achieve the time control node error control and respond to interference; and finally, matlab simulation results show that the system can cope with all kinds of interference, such as: when to run a certain time node, the optimum parameters of plants need to be replaced, the system can in 30 seconds about steady recovery process. And when it comes to outside interference, the system will automatically adjust according to the current settings, allowing the system to restore stability.