Groups Of Rice Seedling Shed Environmental Monitoring Studies And Design

Twelve National Five-Year Plan mainly points out the accelerating the development of modern agriculture, agricultural facilities gets faster in the farm. Rice is widely planted in the northern farm, seedlings is top priority. Groups of low-power monitoring system of rice seedlings shed are for the rice seedlings in the growth environment in different growth environment monitoring to ensure their growth in the optimal environment.The subject of the first low-power design, hardware design and software design were designed from the start on both sides. Hardware, the first is the device selection criteria is the low-power, MSP430 microcontroller core device selection, activity patterns power 250μA, the RAM data retention mode power consumption of only 0.1μA, with a CPU interrupt request will only need to wake up from dormancy 6μs. According to rice seedlings growth environment, its soil temperature, soil moisture, air temperature and humidity, sunshine, carbon dioxide and other natural environment factor data collect. Through the comparative analysis select the temperature sensor through the water treatment 18B20, to measure soil temperature; high accuracy, high sensitivity measurement of soil moisture sensors DBT-1; used with temperature compensation and linearization circuit temperature and humidity DB4200; used in agriculture and other humidity occasions RTG-CO2-NDIR carbon dioxide sensor type of protection; for agricultural greenhouses with good linear light sensor. Use wireless serial communication with PC for data transmission. In the software design, acquisition and transmission in non-state, sleep on the core device processing, collection, transmission and display some of the timer A in the execution. Designed by DELPHI PC, because of its superior open environment, it has a lot of plug-ins for its use, shortening the design cycle, using SQL2000 storage and analysis of data. Collection point and temperature and humidity were designed from the known data analysis, regression analysis, fitted equations, the unknown with a known point to the measured points.