Underground water quality analysis and evaluation system and method based on Internet of Things

Abstract

The invention discloses an underground water quality analysis and evaluation system and method based on the Internet of Things. The method comprises the steps that lead, selenium and arsenic water quality monitoring data of underground water and basic hydrogeological information of a target aquifer are acquired through the Internet of Things; establishing a comparison and selection model of the key indexes; constructing a hydrogeological comprehensive model, evaluating and predicting the regional groundwater quality in combination with the comparison and selection model and the water quality monitoring data, determining the regional groundwater quality type, and performing early warning according to a water quality management target; and rendering the regional groundwater quality analysisand evaluation result by combining the regional groundwater quality analysis and evaluation result and a visualization technology to form a dynamic groundwater quality evaluation effect picture, and displaying the dynamic groundwater quality evaluation effect picture on terminal equipment. According to the invention, information can be obtained in time under the condition of limited information, so that groundwater quality evaluation is accurate, quick, predictive and early-warning, and dynamic rendering display is carried out on the regional groundwater quality condition by coupling with a visualization technology.

Description

technical field [0001] The invention relates to the technical field of groundwater quality analysis and evaluation, in particular to a groundwater quality analysis and evaluation system and method based on the Internet of Things. Background technique [0002] Groundwater is an important source of water for living, agriculture, and industry, and its water quality directly affects people's living standards and the development of the national economy. Because groundwater monitoring often needs to carry out corresponding drilling work first, and through corresponding procedures, such as segmental water sealing, etc., the hydrology and water quality of the target aquifer are targeted for monitoring. Due to the complex construction and difficult monitoring, the number of groundwater monitoring is small, and the problem of automatic monitoring is more serious. Moreover, the evaluation of groundwater quality is often carried out through offline manual checking. The overall evaluati...

AI Technical Summary

Problems solved by technology

Due to the complex construction and difficult monitoring, the number of groundwater monitoring is small, and the problem of automatic monitoring is more serious. Moreover, the evaluation of groundwater quality is often carried out through offline manual checking. The overall evaluation of the water quality of the layer, let alone the intuitive display of the water quality of the sewage from the space

[0003] The disadvantage of the existing technology is that the current groundwater quality evaluation adopts the method of manual checking and calculation, which often leads to low evaluation efficiency under the condition of strong real-time automatic monitoring

Images