The Design Of Plant Factory Environment Control System

In recent years, the world population increase gradually and the agricultural acreagedecreases year by year. What’s more, environment degradation and more and more naturaldisasters. However, Public awareness and demand for food has risen. Multi-level stereocultivation and mass production high quality pollution-free food could solve thecontradictions. In order to meet the annual continuity of production, environmental controltechnology becomes the focus.The temperature and humidity is the key factor of the effect on the plantsgrowth.Combined with embedded technology, wireless communication technology andnetwork technology, the paper study environment data acquisition and automatic monitoringof plant factory environment control system, and design remote monitoring system which issuitable for plant factory greenhouse. The whole system based on B/S framework, andembedded web sever as the core, ZigBee wireless sensor network as the temperature andhumidity acquisition terminal. Low cost, high efficiency, easy and pratical are also thesystem’s advantages.The embedded web server use ARM7microcontroller as hardware core, whichconnected to CC2430wireless communication module to receive humidity data collected byZigBee wireless sensor network. In order to remote view, transplanting μCLinux operationsystem and Boa server to ARM7, TCP/IP protocol for the foundation, CGI applicationprocedure for dynamic webpage. User could visit embedder web server and view humiditydata by browser.The authorized user could send control instruction by analyzing data torealize the regulation of temperature and humidity.The temperature is the most important environmental impact factor on the plants growth.Based on hardware and software, in order to realize automatic control of temperature, First,establish plant factory temperature model; Second, Put forward the control scenariocombining temperature field with fuzzy neural network from energy saving angle accordingto the features which contain multilayer and temperature gradient change of plant factory;Finally, The simulation result verified the effectiveness of the designed algorithm.