Ultraviolet-visible spectrum water quality multi-parameter monitoring system

Abstract

The invention provides an ultraviolet-visible spectrum water quality multi-parameter monitoring system. The ultraviolet-visible spectrum water quality multi-parameter monitoring system comprises a broadband spectrum light source, a light path detection module, an electrical measurement module, a display and data processing module, a system control module and a transmission module, an optical signal emitted by the broadband spectrum light source is divided into measuring light and reference light by the optical path detection module, the measuring light and the reference light enter the electrical measurement module to measure original measurement data, the display and data processing module performs prediction by adopting an established ultraviolet-visible spectrum water quality prediction model to obtain a detection result, and the detection result is transmitted to the local display module; or the local data is directly uploaded to the corresponding platform through the transmission module for data secondary processing and display; the system control module is used for sending various control signals to control the work of each link of the monitoring system; the method comprises the following steps: establishing prediction models, and calculating corresponding constant terms and concentration coefficients in each prediction model according to historical monitoring data and standard data to form an ultraviolet-visible spectrum water quality multi-parameter prediction model.

Description

technical field [0001] The invention belongs to the field of water quality monitoring, in particular to an ultraviolet-visible spectrum water quality multi-parameter monitoring system. Background technique [0002] Chemical oxygen demand (chemical oxygen demand, COD) reflects the pollution degree of reducing substances in water, and is an important indicator for evaluating water quality. Total organic carbon (total organic carbon, TOC) is a comprehensive index that expresses the total amount of organic matter in water with the content of carbon, and also evaluates the degree of organic matter pollution in water. Nitrate nitrogen (NO3-N) is a stable nitrogen compound in an aerobic environment, but in an anaerobic environment, it can be reduced to nitrite nitrogen by microorganisms and has toxic effects. At present, the methods for detecting COD, TOC and NO3-N mainly include chemical and physical methods. Among them, the chemical method is relatively mature, which simulates ...

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Problems solved by technology

However, the technology based on the principle of light scattering needs to obtain the refractive index of turbidity particles a priori, and the measurement difficulty is much higher than that of directly measuring COD in water bodies, which makes it difficult to apply the model to the monitoring of unknown water bodies; the compensation technology based on nonlinear polynomial models can only A single parameter has been studied and cannot be directly applied to a multi-parameter monitoring system

Other mainstream modeling methods also include neural network methods, such as BP neural network and fuzzy neural network. Although they have achieved good results, they still have slow learning speed, easy to fall into local optimal solutions and complicated parameter adjustment in different occasions. and other shortcomings

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