Data collection and analysis system for ecological environment

Abstract

The invention relates to a data collection and analysis system for an ecological environment. The system comprises a soil surveying and mapping module, a sampling analysis module, a sampling executionmodule, a water content measurement module, an information transfer module, a data analysis module and a feedback and execution module, wherein the soil surveying and mapping module is used for measuring the terrain of soil and drawing the terrain into an electronic drawing; the sampling analysis module is used for dividing the sampling regions of the electronic drawing through analysis and numbering the sampling regions; the sampling execution module carries out sampling through the sampling device according to the sampling regions of the sampling analysis module; and the water content measurement module measures the water content of the fetched sample and binds with a corresponding number to be converted into a digital signal; the data analysis module constructs a water content distribution diagram according to the received signal, analyzes whether watering is required or not and analyzes a watering quantity required by different slopes; and the feedback and execution module carriesout watering processing on the soil according to received signal, can analyze the water-holding capacity of different slopes and guides a subsequent watering component according to regions.

Description

technical field [0001] The invention relates to the field of ecological environment big data analysis, in particular to an ecological environment data collection and analysis system. Background technique [0002] Soil is an extremely important ecological environment resource, especially agricultural soil, which is a precious natural resource. The most important information of agricultural soil is water content, so it is necessary to analyze the water content of soil. [0003] With the advancement of science and technology, the use of big data analysis methods for soil analysis requires data collection. Data collection generally includes sampling and water content determination after sampling. Most of the existing analyzes are simple. Take samples, then analyze the water content in the samples, analyze whether the water content is suitable for crop growth through data analysis, and then give feedback on whether the soil is watered and how much water is appropriate, but the ex...

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Problems solved by technology

[0003] With the advancement of science and technology, the use of big data analysis methods for soil analysis requires data collection. Data collection generally includes sampling and water content determination after sampling. Most of the existing analyzes are simple. Take samples, then analyze the water content in the samples, analyze whether the water content is suitable for crop growth through data analysis, and then give feedback on whether the soil is watered and how much water is appropriate, but the existing analysis is too simple and does not take into account The impact of topography on water storage, such as slopes, will inevitably cause water to flow down, so a comprehensive analysis of slopes is required

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