System for real-time monitoring and prediction of soil moisture content, and detection method for soil moisture content

Abstract

The invention discloses a system for the real-time monitoring and prediction of soil moisture content, and a detection method for the soil moisture content. The system comprises a monitoring module and a prediction module. The monitoring module comprises a detection system, a data collector, a wireless transmitter, and a data receiver. The detection system comprises at least two detectors, and the detectors comprise a soil moisture content detector disposed at a to-be-detected point, a precipitation detector, a ground surface wind speed detector, a ground surface temperature detector, a ground temperature detector, and a ground surface air moisture detector. The data collector is connected with the detection system, and the detection system enables the detected data to be transmitted to the data collector and to be transmitted to the data receiver through the wireless transmitter. The prediction module comprises a comprehensive cloud computing platform and an information publishing and self-determining inquiry platform. The comprehensive cloud computing platform is connected with the data receiver, and receives the detection data transmitted by the data receiver. After processing, the detection data is transmitted to the information publishing and self-determining inquiry platform. The system is simple in operation, is stable in performance, is safe in data, is diversified in function, and is high in adaptability.

Description

Technical field [0001] The invention relates to the field of cloud computing and the Internet of Things, in particular to a real-time moisture monitoring and forecasting system and its detection method integrating cloud computing platform, ARMA model and fisher discrimination method. Background technique [0002] Soil moisture, that is, soil water content and changes, are important factors affecting the growth and development of crops and an important measurement index for the degree of land drought. Changes in soil moisture are affected by multiple influencing factors. The main influencing factors are: soil moisture X, precipitation Y, surface wind speed V, surface temperature T, ground temperature T1, surface air humidity W, etc., real-time grasp of the change information of soil moisture is very important for improving the level of agricultural production, preventing and reducing drought disasters and their economic losses. Meaning. [0003] Real-time, continuous, and accurate ...

AI Technical Summary

Problems solved by technology

[0004] From the perspective of hardware equipment, although the existing monitoring equipment is developing towards portability and precision, the measurement data is single, and it is impossible to collect and process the data of various factors that affect the moisture content at the same time. , the result obtained by such equipment will be a large error result, which is difficult to be used in actual agricultural production

[0005] Existing equipment needs a complete set of data warehousing system to support, and there are shortcomings such as slow data transmission speed, low security, high maintenance costs, etc., and the comprehensive cloud computing platform can solve these shortcomings well

[0006] The main function of the existing moisture detection system is to monitor the current moisture content, and the control of future changes in the moisture content is insufficient, which limits the practicability of the moisture monitoring system

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