Soil moisture real-time monitoring system analysis of soil moisture changes
Sampling samples of soil moisture are all one-dimensional random sequences of time. Generally speaking, the average level and variability are described in terms of central tendency and discrete trend. Indicators that reflect discrete trends include the sample's maximum, minimum, variance, standard deviation, coefficient of variation, and range, and indicators that reflect trends in the data set include the mean, median, and so on. In the study of the law of soil moisture content change, the histogram of public opinion data is often used for analysis, that is, a series of rectangles with equal width and unequal height are used to represent the data distribution. When drawing the histogram of the lyric data, the data frequency in the given interval is the height of the rectangle and the ordinate, the interval of the data range is the width of the rectangle, and the abscissa. Taking the 10cm, 20cm, and 30cm water content histograms and normal distribution maps of Zhangjingyingzi Station as examples, it was found that the soil moisture values ​​were repeated from high to low multiple times, and the soil moisture value was constantly changing, 20cm soil The histogram of the layer presents a law of approximately normal distribution.
With global warming, drought has become a major natural disaster that plagues the normal production and life of human society. Soil moisture monitoring and forecast research is the basic work for drought prevention and drought relief. It is through the determination of the changes in soil moisture content that the drought-resistant department determines the current level of public opinion and forecasts the development and evolution of the next stage of public opinion. Therefore, it is very important to use the real-time monitoring system of soil moisture to understand and understand the law of change of the public opinion. In the stable and slow stage of public opinion change, the observation time can be prolonged and the number of observations can be shortened; during the intense stage of public opinion changes, the number of measurements must be increased. Using manual and telemetry equipment for comparative analysis, using the advanced nature of telemetry equipment to provide timely and accurate public opinion and scientific decision-making information for combating drought, played a major role in mitigating drought, safeguarding agricultural and industrial production, and recovering economic losses.
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