Development Of Remote Intelligent Information Monitoring System Based On IOT In Facility Agriculture

The subject comes from agricultural Internet of Things(IOT)building projects of Pomology Research Institute in Shanxi Academy of Agricultural Sciences. This work is proposed in accordance with the poor supervision of current agricultural production, the low Intelligence degree of facilities agriculture systems, the heavy investment of labor input. According to the site investigation situation of Pomology Research Institute in Shanxi Academy of Agricultural Sciences, a remote intelligent information monitoring system of IOT in facility agriculture has been developed based on sensor technology, wireless communication technology, remote intelligent monitoring technology, which is suitable for farmland groves and other large outdoor planting base. The system can improve crop quality and reduce the labor intensity, even realizing the remote intelligent monitoring of site environment parameters, providing farmers with a reasonable suggestion.The degree of automation of facilities agriculture has significantly improved in China in recent decade, for instance the large automation control system of the greenhouse has made remarkable achievements. While farmland groves and other outdoor agricultural bases still rely on traditional experience for planting with low degree of automation and intelligence, the shortage of crop growth environment monitoring and supervision, no reasonable quantitative indicators in water and fertilizer use, which lead to a large labor input, resources waste and environmental pollution. Therefore, the development of facility agriculture remote intelligent monitoring system based on IOT has important practical significance. Aiming at the existing problems, this paper made the study of wireless sensor networks, data transmission network, integrated service platform and analytical treatment software systematically,which took the fruit planting base as the research object in Shanxi Province.The main contents of this thesis are as follows:After a review of the literature and actual site survey, the needs of the agricultural site monitoring was understood deeply. By analyzing development trend of the IOT and facilities agriculture monitoring system, the performance indicators were developed which meet the actual system requirements. And the overall scheme of the system was designed. Combined with sensor technology, wireless communication technology and configuration monitoring technology, three layers of the Internet of things system architecture were built.According to the analysis of monitoring object to monitoring variable, the system construction of the sensing layer was completed with configuration of sensor types and analog acquisition module selection. The LAN from close range of WSN was designed using Zigbee node unit. By heterogeneous integration with GPRS wireless communication over a long distance WAN, the connection with INTERNET was realized and the geographical restrictions was broken through, which realized remote intelligent monitoring in the scene of the agricultural environment parameter.By using Kingview6.55 WEB as the application layer information monitoring center software platform, the main monitoring interface of Information center was designed, which can realize the real-time monitoring of site information, reminding and alarm of abnormal data, comprehensive information summary and other functions. System database was designed by ACCESS, which can realize data storage and flexible invocation. Having beautiful man-machine interface and excellent interaction, the system was informative and functional. According to the important parameters, such as annual average temperature, average annual rainfall and annual sunshine time, the crop health grade evaluation algorithm was established by using fuzzy comprehensive evaluation, which can realize intelligent data processing and application in perception layer.With regularization method, the wireless sensor network node deployment was analyzed. Using OPNET as the simulation platform, Zigbee node model was built. According to the actual environment, the simulation model of tree topology and Mesh topology routing were set up. By setting the experiment of different antenna height, the relationship of transmitting antenna height, receiving antenna height and wireless signal propagation distance was analyzed. By analyzing theory, simulation and experiment, the basis for wireless sensor network node deployment was provided.Through laboratory testing and debugging, including remote monitoring effect test, result accuracy test and the overall system alignment, the system can achieve the desired system performance index. And system testing and debugging results showed that system perception layer has reasonable layout and compact structure. The network layer can communicate stably and perform reliably. The application layer has rich function, beautiful interface, intelligent data processing and strong operability. The whole system could meet the requirements of system design.