Distributed water-quality monitoring system and detection method

Abstract

The invention provides a distributed water-quality monitoring system and a detection method and aims at overcoming deficiencies of current water-quality monitoring. The distributed water-quality monitoring system is characterized by includes more than five laser detection monitors, a wireless signal transferring instrument and a remote industrial control computer; the laser detection monitors andthe wireless signal transferring instrument are in wireless bi-directional communication, and the wireless signal transferring instrument and the remote industrial control computer are wired bi-directional communication. The detection method includes five steps. The distributed water-quality monitoring system and the detection method have the advantages that a TDLAS technology is successfully applied to underwater, low-cost, multi-monitor-point, consecutive and linear continuous monitoring is achieved, no person is needed to guard, and the distributed water-quality monitoring system and the detection method are particularly suitable for hydrologic and water-quality monitoring which has the advantages of long-term performance, continuity and mutability and possibly have positive effects oncurrent water-quality environment detection and monitoring.

Description

technical field [0001] The invention belongs to the technical field of detection, and in particular relates to a distributed and continuous laser detection technology based on TDLAS technology, specifically a distributed water quality monitoring system and a detection method. Background technique [0002] In the existing water quality monitoring, water samples are generally salvaged in containers and brought to the laboratory for testing, which has the problems of poor timeliness and poor data reliability: [0003] First of all, in practice, the density and type of impurities in different water layers are different, and the process of salvaging the water at the sampling point has the risk of sample contamination and dilution. [0004] Secondly, under the influence of oxygen, sunlight and other factors, the salvaged water samples will volatilize, deteriorate, disperse and other problems. [0005] Thirdly, sampling from sample points also has the problem of small sample size,...

AI Technical Summary

Problems solved by technology

[0002] In the existing water quality monitoring, water samples are generally salvaged in containers and brought to the laboratory for testing, which has the problems of poor timeliness and poor data reliability:

[0003] First of all, in practice, the density and type of impurities in different water layers are different, and the process of salvaging the water at the sampling point has the risk of sample contamination and dilution.

[0004] Secondly, under the influence of oxygen, sunlight and other factors, the salvaged water samples will volatilize, deteriorate, disperse and other problems

[0005] Thirdly, sampling from sample points also has the problem of small sample size, errors in measurement and statistics, lack of inductive analysis formed by accumulation, that is, there is a shortcoming of point-based generalization

[0006] Finally, existing water quality monitoring is a discrete, intermittent detection method

Although there are vehicles or ships to load the equipment, it is costly and consumes a lot of manpower and material resources, so it is not suitable for continuous detection

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