Rapid detection device for TOC (total organic carbon) and COD (chemical oxygen demand) in water based on AI (artificial intelligence) deep learning
A deep learning and detection device technology, which is applied in the direction of measuring devices, sampling devices, optical testing flaws/defects, etc., can solve the problems of expensive automation equipment, production of chemical waste liquid, long detection cycle, etc., to achieve fast detection speed and energy saving process Environmental protection and wide concentration range
Pending Publication Date: 2022-03-15
WESTLAKE UNIV
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[0003] The purpose of the present invention is to solve the disadvantages of long detection period, generation of chemical waste liquid, expensive automation equipment, cumbersome operation and high detection cost in the prior art, and proposes a rapid detection of TOC and COD in water based on AI deep learning device
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[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.
[0020] refer to figure 1 , a TOC and COD rapid detection device in water based on AI deep learning, including a computer control terminal 15, the computer control terminal 15 has an AI deep learning function, by inputting the spectral value of the water sample to be tested and the measured value of the national standard method, the calculated and simulated More accurate AI models.
[0021] The spectrometer 1, the spectrometer 1 is electrically connected with the spectrometer probe 3, and the spectrometer probe 3 is arranged in the sample cell 4, the spectrometer 1 is also electrically connected with the spectrometer wireless communication module 13, and the signal of...
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Abstract
The invention relates to the technical field of water quality detection, in particular to a rapid detection device for TOC and COD in water based on AI deep learning, a spectrograph is electrically connected with a spectrum probe, the spectrum probe is arranged in a sample pool, the spectrograph is further electrically connected with a spectrograph wireless communication module, and the spectrograph wireless communication module is in signal connection with a computer control terminal; the LED lamp bead group is arranged above the sample pool, the LED lamp bead group is electrically connected with an LED lamp bead wireless communication module, and the LED lamp bead wireless communication module is in signal connection with the computer control terminal; the sample introduction mechanism is arranged on one side of the bottom of the sample pool and is in signal connection with the computer control terminal; the sample feeding mechanism is arranged on the other side of the bottom of the sample pool and is in signal connection with the computer control terminal so as to control the water inlet amount of the water inlet mechanism. The device is reasonable in structural design, easy and convenient to operate, free of chemicals, energy-saving, environment-friendly, low in cost, small in influence of other factors on results and wide in application prospect.
Description
technical field [0001] The invention relates to the technical field of water quality detection, in particular to a device for rapid detection of TOC and COD in water based on AI deep learning. Background technique [0002] With the development of my country's industrialization level and the improvement of people's living standards, environmental pollutants, especially those in the water environment, have attracted more and more attention. Chemical oxygen demand (COD) refers to the amount of oxidant consumed when a certain strong oxidant is used to treat water samples under certain conditions. It is an indicator of the amount of reducing substances in water. Although the reducing substances in water include various organic substances, nitrite, sulfide, ferrous salt, etc., the main ones are organic substances. Therefore, chemical oxygen demand (COD) is often used as an index to measure the content of organic matter in water. The greater the COD, the more serious the water bod...
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IPC IPC(8): G01N21/01G01N21/94G01N1/14G01N1/34
CPCG01N21/01G01N21/94G01N1/14G01N1/34
Inventor 刘剀鲁昆昆
Owner WESTLAKE UNIV