A multi-point water quality monitoring and analysis system and monitoring and analysis method based on clustering algorithm

Abstract

The invention discloses a multi-point water quality monitoring analysis system and a monitoring analysis method based on a clustering algorithm. The system comprises an upper computer part, a GPRS wireless communication module, a lower computer part and a power supply module. The upper computer part and the lower computer part are connected through the GPRS wireless communication module. The powersupply module provides power for the lower computer part and the GPRS wireless communication module. The method comprises the steps that the data collection of multi-point water quality monitoring iscollaboratively accomplished through the lower computer part by controlling each sub-collection part of a data acquisition part through a main control single-chip computer; data collected through thelower computer part is uploaded to the upper computer part through the GPRS wireless communication module; and a GUI interface is designed through a Labview through the upper computer part, and the sample data processing is completed by calling a python through an internal interface function. According to multi-point water quality monitoring analysis system and the monitoring analysis method based on the clustering algorithm, a plurality of field environment water quality accurate data are collected, meanwhile, an on-line clustering algorithm processing for sample data is provided, and betteranalysis of water quality is facilitated.

Description

technical field [0001] The invention belongs to the field of water quality monitoring, in particular to a multi-point water quality monitoring and analysis system and a monitoring and analysis method based on a clustering algorithm. Background technique [0002] With the development of industry, water pollution is becoming more and more serious. Indicators such as chemical oxygen demand (COD), nitrogen content, water quality pH value, and solution turbidity can reflect the degree of water pollution and are important standards for measuring environmental quality. , more chemical methods are used to measure the above parameters, including potassium dichromate standard method, coulometric titration, etc. Different determination methods are required for different water quality parameters, and the collection and measurement of multiple parameters cannot be integrated into one In addition, these traditional methods have the disadvantages of large amount of reagents, serious second...

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: one purpose is to provide a multi-point water quality monitoring and analysis system and monitoring and analysis method based on a clustering algorithm, to solve the above-mentioned problems in the prior art and applications, to expand the functions of water quality monitors, and to simultaneously measure multiple points of water quality at multiple points parameters, and with the help of Zigbee module communication to solve the problem of weak GPRS signal in the field environment, making water quality monitoring work more convenient and fast, at the same time, using Labview to design the user GUI interface, and calling Python to realize the clustering algorithm for water quality measurement data, and complete the water quality monitoring Multi-point accurate collection of parameters and data analysis

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