Novel intelligent water quality detecting method

Abstract

The invention discloses a novel intelligent water quality detecting method, comprising the following steps: obtaining dissolved oxygen and temperature parameters in the water quality to be detected bya dissolved oxygen sensor, and transmitting the parameters to a mobile terminal; obtaining the pH parameter in the water quality to be detected through a pH sensor, and transmitting the parameter tothe mobile terminal; extracting and putting Kml pure water into a detection chamber for verification, at the same time, taking N detection tubes for numbering to obtain No. 1 to No. N detection tubes,and adding Kml liquid to be detected to N detection tubes; adding indicators to the No. 1 to No. N detection tubes and shaking up to stand for time T, placing the No. 1 to No. N detection tubes orderly in the detection chamber for detection, and feeding back the detected indicators to the mobile terminal.

Description

technical field [0001] The invention relates to the technical field of water quality detection equipment, in particular to a novel intelligent water quality detection method. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Traditional water quality testing uses chemical titration, which is not only cumbersome, inefficient, and less accurate, but also significantly affected by operator proficiency and color sensitivity, making it unsuitable for large-scale applications. For relatively professional staff in the water quality testing department, the method used for laboratory analysis is atomic absorption spectrophotometry. Although this method is accurate in detection, the detection cost and equipment operation and maintenance costs are high, and it is not suitable for large-scale rapid detection. , and will affect the detection speed. [0004] In the process of discharging wastewater, some heavy meta...

AI Technical Summary

Problems solved by technology

[0006] The existing technology does not integrate multi-parameter real-time detection and photoelectric detection, and cannot achieve multi-parameter detection in one machine, and the measurement accuracy is poor;

[0007] Remote operation, data sharing and data analysis are not combined with smart phones, often only have local measurement and display functions, limited data storage, inconvenient viewing, and cannot effectively use these data for value-added services;

[0008] The operation process is complicated and cumbersome, it is not easy to quickly master, the detection efficiency is low, and the user experience is poor

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