CN211505168U - Multi-light source device for COD measurement - Google Patents
Multi-light source device for COD measurement Download PDFInfo
- Publication number
- CN211505168U CN211505168U CN201921773300.8U CN201921773300U CN211505168U CN 211505168 U CN211505168 U CN 211505168U CN 201921773300 U CN201921773300 U CN 201921773300U CN 211505168 U CN211505168 U CN 211505168U
- Authority
- CN
- China
- Prior art keywords
- light source
- cod
- ultraviolet light
- detection channel
- sample
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The utility model provides a many light source devices for COD is measured, many light source devices include at least: the liquid inlet is used for receiving a sample to be detected; the light-transmitting detection channel is communicated with the liquid inlet and is used for storing a sample to be detected during detection; the ultraviolet light source generators with different wavelengths are arranged on the same side of the light transmission detection channel and are used for emitting ultraviolet light sources; and the ultraviolet light source detector is arranged opposite to the ultraviolet light source generator. A many light source devices for COD is measured, can form and carry out accurate measurement to COD in the different water. The measurement is simple, convenient and quick.
Description
Technical Field
The utility model relates to a water quality analysis field especially relates to a many light sources device for COD measures.
Background
Chemical Oxygen demand (cod) (chemical Oxygen demand) is a chemical method for measuring the amount of reducing substances to be oxidized in a water sample. The oxygen equivalent of a substance (typically an organic substance) that can be oxidized by a strong oxidizing agent in wastewater, wastewater treatment plant effluent, and contaminated water. It is an important and relatively fast measurable organic pollution parameter in the study of river pollution and properties of industrial wastewater and the management of operation of wastewater treatment plants. The chemical oxygen demand measured by using potassium permanganate solution as an oxidant is called permanganate index in the water quality environmental standard of China and is used for representing COD of surface water, drinking water and domestic sewage. The method has accurate measurement result, but has complex test process, fussy operation, higher analysis cost and difficult commercial application.
SUMMERY OF THE UTILITY MODEL
In view of the above-mentioned shortcomings of the prior art, it is an object of the present invention to provide a multi-light source device for COD measurement.
To achieve the above and other related objects, a first aspect of the present invention provides a multi-light source device for COD measurement, the multi-light source device comprising at least:
the liquid inlet is used for receiving a sample to be detected;
the light-transmitting detection channel is communicated with the liquid inlet and is used for storing a sample to be detected during detection;
the ultraviolet light source generators with different wavelengths are arranged on the same side of the light transmission detection channel and are used for emitting ultraviolet light sources;
and the ultraviolet light source detector is arranged opposite to the ultraviolet light source generator.
As mentioned above, the utility model discloses a many light source devices for COD is measured has following beneficial effect:
a many light source devices for COD is measured, combine data analysis algorithm can form COD in the different water and carry out more accurate measurement. The measurement is simple, convenient and quick. Because turbidity in the water can form certain influence to the measured value, so the infrared sensor that this device was arranged can carry out the analysis to the turbidity in the water, discharges the influence that the turbidity produced to measuring to obtain more accurate measured data. In a long-term measurement process, the tube wall of the light transmission detection channel can grow a biological film, including bacteria, blue algae and other substances which can influence the measurement, so that the biological film growing on the surface of the tube wall can be effectively cleaned by starting ultrasonic for 10-30 seconds before each measurement.
Drawings
Fig. 1 shows a diagram of a multi-light source device for COD measurement according to the present invention.
Fig. 2 shows an explosion diagram of the multi-light source device for COD measurement of the present invention.
Fig. 3 shows a schematic diagram of a turbidity module according to the present invention.
Fig. 4 shows a flow chart of the modeling method of the COD measuring model of the present invention.
FIG. 5 shows a fitting graph of COD value measured by the detection method of the present invention and the national standard method.
FIG. 6 shows a fitting graph of COD detection results of the detection method of the present invention and the national standard method of potassium dichromate.
Description of the element reference numerals
1 liquid inlet
2 light transmission detection channel
3 ultraviolet light source generator
4 ultraviolet light source detector
5 liquid discharge port
6 infrared light source generator
7 infrared light source detector
8 cleaning module
9 casing
A transmitted light
B scattered light
Detailed Description
The following description is provided for illustrative purposes, and other advantages and features of the present invention will become apparent to those skilled in the art from the following detailed description.
Please refer to fig. 1 to 6. It should be understood that the structure, ratio, size and the like shown in the drawings attached to the present specification are only used for matching with the content disclosed in the specification, so as to be known and read by those skilled in the art, and are not used for limiting the limit conditions that the present invention can be implemented, so that the present invention has no technical essential meaning, and any structure modification, ratio relationship change or size adjustment should still fall within the scope that the technical content disclosed in the present invention can cover without affecting the function that the present invention can produce and the purpose that the present invention can achieve. Meanwhile, the terms such as "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for convenience of description, and are not intended to limit the scope of the present invention, and changes or adjustments of the relative relationship thereof may be made without substantial technical changes, and the present invention is also regarded as the scope of the present invention.
As shown in fig. 1 and 2, the present invention provides a multi-light source device for COD measurement, the multi-light source device at least comprises:
the liquid inlet 1 is used for receiving a sample to be detected;
the light-transmitting detection channel 2 is communicated with the liquid inlet 1 and is used for storing a sample to be detected during detection;
a plurality of ultraviolet light source generators 3 with different wavelengths, which are arranged on the same side of the light transmission detection channel 2 and are used for emitting ultraviolet light sources;
and the ultraviolet light source detector 4 is arranged opposite to the ultraviolet light source generator 3. Specifically, the ultraviolet light source detector 4 is disposed at one side of the light transmission detection channel, and is not at the same side as the ultraviolet light source generator 3, but is disposed opposite to the same side.
The ultraviolet light source detector is used for receiving the optical signal of the ultraviolet light source generator and converting the optical signal into an electric signal for subsequent analysis and processing.
The number of the ultraviolet light source generators 3 can be 4-10. Specifically, the number of the cells may be 4, 5, 6, 7, 8, 9 or 10.
The wavelength of the light emitted by the ultraviolet light source generator 3 may be 200-400 nm.
In one embodiment, the number of the ultraviolet light source generators 3 is 4, and the wavelengths of the emitted light sources are 254nm, 275nm, 310nm and 365nm respectively.
In another embodiment, the number of the ultraviolet light source generators 3 is 3, and the wavelengths of the emitted light sources are 280nm, 275nm, and 310nm, respectively.
Further, the multi-light source device further comprises a liquid outlet 5 which is communicated with the light transmission detection channel 2 and used for discharging the sample to be detected.
The ultraviolet light source detector may be any of various devices or devices suitable for detecting ultraviolet light, such as an ultraviolet light sensor. The ultraviolet light source generator may be an ultraviolet lamp.
The light-transmissive detection channel can be made of various light-transmissive materials, and in one embodiment, the light-transmissive detection channel is a quartz tube.
In a preferred embodiment, the apparatus for multiple light sources further includes a turbidity detection module disposed on a side surface of the light transmission detection channel.
The turbidity detection module comprises:
an infrared light source generator 6 and an infrared light source detector 7;
the turbidity detection module adopts a 90-degree scattering light principle. As shown in fig. 3, when the parallel light beams emitted from the infrared light source generator pass through the sample to be measured, a part of the parallel light beams is absorbed and scattered, and another part of the parallel light beams passes through the sample to be measured. The intensity of the scattered light at 90 ° to the incident light follows the rayleigh formula:
is ═ ((KNV2)/λ) × I0 wherein: i0 incident light intensity Is scattered light intensity N unit number of particles in solution
V-particle volume λ -incident light wavelength K-coefficient
Under constant incident light conditions, the scattered light intensity is directly proportional to the turbidity of the solution over a range of turbidity.
The above formula can be represented as: Is/I0 ═ K 'N (K' Is a constant)
The infrared light source detector 7 can receive scattered light at an angle of 90 degrees, and according to the formula, the turbidity of the water sample can be measured by measuring the intensity of the scattered light of particles in the water sample.
In one embodiment, an infrared light source generator 6 may be further disposed on the opposite side of the infrared light source detector 7 to enhance the detection accuracy.
Specifically, the infrared light source detector is an infrared light sensor. The infrared light source generator is an infrared lamp.
The turbidity detection module is used for detecting the turbidity of a sample to be detected, and the influence of the turbidity on the measurement can be eliminated through subsequent data analysis.
The wavelength of the light emitted by the infrared light source generator 6 is 830-890 nm.
In one embodiment, the infrared light source generator 6 emits light at a wavelength of 860 nm.
In a preferred embodiment, the multi-light source device further comprises a cleaning module 8 connected to the transparent detection channels for cleaning the transparent detection channels.
In one embodiment, the cleaning module comprises an ultrasonic generator.
Preferably, the working head of the ultrasonic generator is arranged at one end of the light transmission detection channel, and at least part of the working head extends into the light transmission detection channel. In a long-term measurement process, a biological film can grow on the tube wall of the light transmission detection channel, the biological film comprises bacteria, blue algae and other substances which can influence the measurement, and therefore the biological film growing on the surface of the tube wall can be effectively cleaned by starting the cleaning module for 10-30 seconds before each measurement.
The multi-light source apparatus further includes a housing 9 for placing the respective components.
The multi-light source device can also comprise a controller, wherein the controller can be a single chip microcomputer, and the single chip microcomputer can be an 8-bit minimum system. The controller may also be a different brand and model, or a higher number of controllers or processors. The controller may be used to install the associated control program. After the relevant control programs are installed, the controller is in signal connection with the ultraviolet light source detector and the infrared light source detector, and signals of the ultraviolet light source detector and the infrared light source detector can be collected and processed according to needs.
The multi-light source device for COD measurement can be used in the field of COD measurement.
Utilize the utility model provides a COD measuring many light source devices carries out COD and measures, and measuring method includes following step:
(1) putting a sample to be detected into the light-transmitting detection channel through the liquid inlet;
(2) receiving the optical signal by the ultraviolet light source detector and converting the optical signal into an electric signal to obtain a signal value UV0 of the ultraviolet light source detector when no ultraviolet light penetrates through the sample and a signal value UVn of the ultraviolet light source detector when the ultraviolet light with the wavelength of n penetrates through the sample; obtaining a detection value delta UVn of the ultraviolet light source detector under the ultraviolet wavelength with the wavelength n according to a formula delta UVn-UVn-UV 0;
(3) and (3) obtaining the COD value through the COD measurement model of the sample to be measured based on the measured value obtained in the step (2).
As shown in fig. 3, step (2) further includes:
receiving the optical signal by an infrared light source detector and converting the optical signal into an electric signal to obtain a signal value RV0 of the infrared light source detector when no infrared light source irradiates and an absorbance RV of a sample to be detected when infrared light irradiates; Δ RV is obtained, which is RV-RV 0.
Correspondingly, the measured values in step (3) are Δ UV and Δ RV.
The infrared light source detector can be used for directly measuring the turbidity in water: and (3) placing the turbidity standard reagent into the device, calibrating to obtain a calibration curve, and comparing the measured value of the sample to be measured with the calibration curve in the actual measurement process to obtain a turbidity value.
As shown in fig. 4, the COD measurement model in step (3) can be constructed by the following method:
(1) performing machine learning by taking the delta UVn and the COD value of each modeling sample as input values to obtain a plurality of candidate models, wherein the COD value of each modeling sample is obtained by measuring by a potassium dichromate COD detection method (HJ/T399-2007);
△UVn＝UVn-UV0；
UV 0: the signal value of the ultraviolet light source detector when no ultraviolet light penetrates through the sample;
UVn: the signal value of the ultraviolet light source detector when the ultraviolet light with the wavelength of n penetrates through the sample;
Δ UVn: detecting the detection value of an ultraviolet light source detector of each modeling sample under the ultraviolet wavelength with the wavelength of n, and respectively detecting the signal values of the ultraviolet light source detector when ultraviolet light with various wavelengths respectively penetrates through the samples;
(2) and (4) respectively testing the fitting effects of different candidate models, and selecting the model with the highest fitting degree as the COD measurement model.
The highest fitting degree means that the fitting value has the lowest standard deviation and the highest R with the COD value of the sample2。
In the step (1), any software of python, R or Matlab is used for machine learning;
in step (1), the model for machine learning includes any one or more of the following: linear regression, stepwise regression, interactions linear regression, regression tree, support vector machines.
Example data analysis:
1.1 sample sources: a certain rural sewage treatment station.
1.2 sample number: and 76 pieces.
1.3 data verification method after sampling:
and sending to a qualified laboratory for COD test of national standard GB 11914-89. (the national standard method COD test is divided into a potassium permanganate method and a potassium dichromate method). the test adopts the potassium dichromate method. The potassium dichromate method is that firstly potassium dichromate is used for digesting a water sample, and the COD concentration in the water sample can be calculated by quantifying the consumption of the potassium dichromate. 1.4 ultraviolet lamp bead used:
3 ultraviolet bulbs were used for this test at wavelengths of 280nm (UV1),275nm (UV2) and 310nm (UV 3). Three lamp beads share one sensor. Each time the detection sensor reads 4 signals, firstly, the electric signals of the ultraviolet light emitted by the ultraviolet lamp after penetrating through the sample are directly read one by one, and finally, the background voltage signal (UV0) is read once again, which means the signals read by the sensor when the ultraviolet lamp is not turned on.
After the sensor signal is read, a table with 4 columns, namely UV0, UV1, UV2 and UV3, is generated in the background of the system directly by the system. The actual value of the sample submitted to the laboratory for national standard method testing can be manually input into the system through the UI, the system can generate a new 4-column table by matching the actual measurement sample with the previous 4-column table through time and point location, and the table header and partial data shown in the table 1 are as follows
TABLE 1
All signals need to have the dark current signal subtracted in order to remove their background voltage interference.
According to the 4 lines of data, machine learning (machinelearning) is carried out on the data in a system background by utilizing Matlab or Python to respectively check the fitting effect of different models on the data, and finally the optimal model is selected. Models that can be considered include (linear regression, stepwise regression, interactions linear regression, regression tree, support vector machines, etc.). Post-machine learning discovery for this data, stThe fitness of the unwase linear regression is best, and the fitting value has the lowest standard deviation (18) and the highest R with the true value of the sample2(75%). the resulting formula is:
Predicted＝373.015 -74.8747*(UV1-UV0)-595.4812*(UV2-UV0)-1373.5*(UV3-UV0)+2601.6*(UV2-UV0)*(UV3-U V0)
fig. 5 shows the difference between the true value (blue) and the predicted value (yellow) after fitting by the above method, and the trends are basically the same, so as to meet the requirements of the users. The model is selected to analyze subsequent sensor measurements and give a COD measurement.
As shown in figure 6, compared with the COD detection method of the potassium dichromate national standard method, the water sample after the multi-light source COD analysis of the utility model can reach higher fitting degree, which exceeds 94.7%.
The above embodiments are merely illustrative of the principles and effects of the present invention, and are not to be construed as limiting the invention. Modifications and variations can be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which may be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A multiple light source apparatus for COD measurement, the multiple light source apparatus comprising at least:
the liquid inlet (1) is used for receiving a sample to be detected;
the light-transmitting detection channel (2) is communicated with the liquid inlet (1) and is used for storing a sample to be detected during detection;
a plurality of ultraviolet light source generators (3) with different wavelengths, which are arranged on the same side of the light transmission detection channel (2) and are used for emitting ultraviolet light sources;
and the ultraviolet light source detector (4) is arranged opposite to the ultraviolet light source generator (3).
2. The multiple light source apparatus for COD measurement according to claim 1, wherein the number of the ultraviolet light source generators (3) is 4 to 10.
3. The multi-light source device for COD measurement according to claim 1, further comprising a drain port (5) communicating with the light transmission detection channel (2) for draining a sample to be measured.
4. The multi-light source device for COD measurement according to claim 1, wherein the wavelength of the light emitted from the ultraviolet light source generator (3) is 200-400 nm.
5. The multi-light source apparatus for COD measurement according to claim 4, wherein the number of the ultraviolet light source generators (3) is 4, and the wavelengths of the emitted light sources are 254nm, 275nm, 310nm, and 365nm, respectively.
6. The multi-light source device for COD measurement according to claim 1, wherein the light transmission detection channel is selected from a quartz tube.
7. The multi-light source device for COD measurement according to claim 1, further comprising a turbidity detection module disposed at a side of the transparent detection channel.
8. The multi-light source apparatus for COD measurement according to claim 1, further comprising: and the cleaning module (8) is arranged at one end of the light transmission detection channel and used for cleaning the light transmission detection channel.
9. The multiple light source device for COD measurement according to claim 8, wherein the cleaning module (8) comprises an ultrasonic generator.
10. The multi-light source device for COD measurement according to claim 9, wherein the working head of the ultrasonic generator is disposed at one end of the transmission detection channel and at least partially protrudes into the transmission detection channel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201921773300.8U CN211505168U (en) | 2019-10-22 | 2019-10-22 | Multi-light source device for COD measurement |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201921773300.8U CN211505168U (en) | 2019-10-22 | 2019-10-22 | Multi-light source device for COD measurement |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN211505168U true CN211505168U (en) | 2020-09-15 |
Family
ID=72407128
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201921773300.8U Active CN211505168U (en) | 2019-10-22 | 2019-10-22 | Multi-light source device for COD measurement |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN211505168U (en) |
-
2019
- 2019-10-22 CN CN201921773300.8U patent/CN211505168U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN203275288U (en) | Online automatic water quality multiple parameter monitor gathering spectrum and sensor technologies | |
| CN100578196C (en) | Method for measuring water body total nitrogen and total phosphorous by digestion spectrophotometry of supersonic wave cooperating with ozone | |
| CN102661923A (en) | Complex monitor for automatically monitoring multiple parameters of water on line | |
| CN102262061A (en) | Method and device for detecting concentration of chlorine dioxide gas on line | |
| CN102841060B (en) | On-line water quality quick detection system | |
| CN100504360C (en) | Method for detecting chemical oxygen request-amount based on light-catalytic chemical illumination and detection device | |
| CN106226257A (en) | COD on-Line Monitor Device and monitoring method thereof in a kind of water | |
| CN113283072B (en) | Water body COD detection method suitable for multiple scene conditions | |
| CN206248652U (en) | Real-time in-situ water quality monitor | |
| CN114835241B (en) | Real-time monitoring and ozone intelligent adding control method for refractory organic matters in sewage | |
| CN112798757A (en) | High-precision intelligent water quality analyzer and control system thereof | |
| CN108318428A (en) | A kind of photoelectric sensing measuring device | |
| CN110687047A (en) | Multi-light-source device for COD measurement and detection method | |
| CN109520983B (en) | DOM-based water quality evaluation method and device | |
| KR101108561B1 (en) | Apparatus for measuring pH by using absorptiometric analysis and measuring method using the same | |
| CN110736723A (en) | method and system for online simultaneous detection of low turbidity and high turbidity | |
| CN205749258U (en) | A kind of multi-parameter water quality on-line checking pen | |
| CN211505168U (en) | Multi-light source device for COD measurement | |
| CN206906239U (en) | Water quality detection probe and water quality testing meter | |
| CN115931451B (en) | Sampling analysis unit suitable for surface water monitoring | |
| CN214703579U (en) | High-precision intelligent water quality analyzer | |
| CN205139003U (en) | Probe formula quality of water multi -parameter on -line monitoring appearance | |
| CN213580647U (en) | Adjustable range double-light-source water quality COD (chemical oxygen demand) detection sensor | |
| CN108426836A (en) | Water monitoring device | |
| CN210665501U (en) | Water quality monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20201216 Address after: Room 205, West Zone, 2 / F, No. 707, Zhangyang Road, China (Shanghai) pilot Free Trade Zone, Pudong New Area, Shanghai, 200120 Patentee after: Shanghai Bozhong Guanche Intelligent Technology Co.,Ltd. Address before: 200000 Pudong New Area, Shanghai, China (Shanghai) free trade trial area, No. 3, 1 1, Fang Chun road. Patentee before: SHANGHAI GUANLIU INTELLIGENT TECHNOLOGY Co.,Ltd. |