CN116087049A - Intelligent Internet of things turbidity meter - Google Patents

Intelligent Internet of things turbidity meter Download PDF

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Publication number
CN116087049A
CN116087049A CN202310326164.2A CN202310326164A CN116087049A CN 116087049 A CN116087049 A CN 116087049A CN 202310326164 A CN202310326164 A CN 202310326164A CN 116087049 A CN116087049 A CN 116087049A
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China
Prior art keywords
water
things
turbidity
detector
turbidity meter
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CN202310326164.2A
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Chinese (zh)
Inventor
朱峻锋
程之星
林铭亮
许毅钦
***
古志良
陈志涛
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Institute of Semiconductors of Guangdong Academy of Sciences
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Institute of Semiconductors of Guangdong Academy of Sciences
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Priority to CN202310326164.2A priority Critical patent/CN116087049A/en
Publication of CN116087049A publication Critical patent/CN116087049A/en
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/06—Investigating concentration of particle suspensions
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/06—Investigating concentration of particle suspensions
    • G01N15/075—Investigating concentration of particle suspensions by optical means
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A20/00—Water conservation; Efficient water supply; Efficient water use
    • Y02A20/20—Controlling water pollution; Waste water treatment

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  • Chemical & Material Sciences (AREA)
  • Dispersion Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

An intelligent Internet of things turbidity meter relates to the field of intelligent detection, and comprises a water pipeline, a light source system, a detector and an AIoT module, wherein the light source system is arranged on the water pipeline and is used for irradiating liquid in the water pipeline; the detector is arranged on the water pipeline and is used for receiving and processing the optical signals sent by the optical source system so as to convert the optical signals into electric signals; the AIoT module is electrically connected with the detector and is used for judging the turbidity of the liquid according to the electric signal sent by the detector. Compared with the prior art, the turbidity meter detection device is simple in structure, can solve the problem of complicated turbidity meter detection, improves turbidity detection efficiency and saves manpower.

Description

Intelligent Internet of things turbidity meter
Technical Field
The invention relates to the field of intelligent detection, in particular to an intelligent Internet of things online turbidimeter.
Background
Turbidity, i.e. the degree of turbidity of water, is caused by the fact that water contains trace amounts of insoluble suspended matter, colloidal matter, and the measurement unit used by the ISO standard is FTU (turbidity unit), which is consistent with NTU (turbidity measurement unit). The turbidimeter (nephelometer) adopts the principle of scattered light, and when a parallel light beam emitted by a light source passes through a solution, one part of the light beam is absorbed and scattered, and the other part of the light beam passes through the solution, and the turbidimeter measures the turbidity of water according to the principle. The turbidity meter can be used for testing the turbidity of water samples in water supply factories, power plants, industrial and mining enterprises, laboratories and field. The instrument is often used for the necessary verification equipment required by a drinking water plant to handle QS certification.
The inventor researches show that the turbidity meter existing in the current market has the defects of large equipment volume, complicated testing steps and the like, and is not beneficial to improving the turbidity detection efficiency and saving the manpower.
Disclosure of Invention
The invention aims to provide an intelligent Internet of things turbidity meter which can solve the problem of complicated detection of the turbidity meter, improve the efficiency of turbidity detection, save manpower and realize real-time monitoring.
Embodiments of the present invention are implemented as follows:
in a first aspect, the present invention provides an intelligent internet of things turbidity meter, comprising:
a water pipe;
the light source system is arranged on the water pipeline and used for irradiating liquid in the water pipeline;
the detector is arranged on the water pipeline and is used for receiving and processing the optical signals sent by the light source system so as to convert the optical signals into electric signals;
and the AIoT module is electrically connected with the detector and is used for judging the turbidity of the liquid according to the electric signal sent by the detector.
In an alternative embodiment, the angle between the illumination direction of the light source system and the receiving direction of the detector is between 0 ° and 360 °.
In an alternative embodiment, a black light absorbing layer is arranged on the inner wall of the water pipeline.
In an alternative embodiment, the inner wall of the black light absorbing layer is provided with a light trapping structure.
In an alternative embodiment, a transparent layer is provided on the inner wall of the black light absorbing layer.
In an alternative embodiment, the water pipe is provided with a water outlet and a water inlet, and the water inlet and the water outlet are respectively connected with a water inlet pipe and a water outlet pipe.
In an alternative embodiment, the water inlet and the water outlet are respectively arranged at the left end and the right end of the water pipeline, and the light source system and the detector are both positioned between the water inlet and the water outlet.
In an alternative embodiment, the water inlet and the water inlet pipe are connected together by a welding or bonding process.
In an alternative embodiment, the water outlet and the water outlet pipe are connected together by a welding or bonding process.
In an optional embodiment, the device further comprises a mobile display end, wherein the mobile display end is in wireless connection with the AIoT module, and the mobile display end is used for receiving and displaying the turbidity of the liquid judged by the AIoT module.
The embodiment of the invention has the beneficial effects that:
the invention provides an intelligent Internet of things turbidity meter, which comprises a water pipeline, a light source system, a detector and an AIoT module, wherein the light source system is arranged on the water pipeline and is used for irradiating liquid in the water pipeline; the detector is arranged on the water pipeline and is used for receiving and processing the optical signal at the position so as to convert the optical signal into an electric signal; the AIoT module is electrically connected with the detector and is used for judging the turbidity of the liquid according to the electric signal sent by the detector. In the above structure, when light passes through liquid (water) in the water pipe, a part of the light is scattered by suspended particles in the water to form scattered light with different angles. Some scattered light is captured by a detector, the detector detects the intensity of the captured light, and then an electrical signal with corresponding intensity is sent to the AIoT module, and the electrical signal can be used for judging whether the turbidity of the liquid in the water pipeline meets the standard or not after being processed by the AIoT module. Compared with the prior art, the invention has simple structure, can solve the problem of complicated detection of the turbidity meter, improves the efficiency of turbidity detection and saves manpower.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an intelligent Internet of things turbidimeter provided by an embodiment of the present invention;
FIG. 2 is a schematic view of section A-A of FIG. 1;
FIG. 3 is a schematic view of section A-A of FIG. 1 provided by a second embodiment;
fig. 4 is a schematic view of section A-A in fig. 1 provided by a third embodiment.
Icon:
100-water pipeline; a 110-black light absorbing layer; 120-trapping structure; 130-a water outlet; 140-water inlet; 150-a transparent layer; 200-a light source system; 300-detector; a 400-AIoT module; 500-outlet pipe; 600-water inlet pipe.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the present invention, it should be noted that, directions or positional relationships indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., are directions or positional relationships based on those shown in the drawings, or are directions or positional relationships conventionally put in use of the inventive product, are merely for convenience of describing the present invention and simplifying the description, and are not indicative or implying that the apparatus or element to be referred to must have a specific direction, be constructed and operated in a specific direction, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
Furthermore, the terms "horizontal," "vertical," and the like do not denote a requirement that the component be absolutely horizontal or overhang, but rather may be slightly inclined. As "horizontal" merely means that its direction is more horizontal than "vertical", and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the present invention, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
First embodiment
As shown in fig. 1, the turbidity meter for the intelligent internet of things provided in this embodiment includes a water pipe 100, a light source system 200, a detector 300 and an AIoT module 400, wherein the light source system 200 is disposed on the water pipe 100, and the light source system 200 is used for irradiating liquid in the water pipe 100; the detector 300 is disposed on the water pipe 100, and the detector 300 is used for receiving and processing the optical signal emitted by the light source system 200 to convert the optical signal into an electrical signal; the AIoT module 400 is electrically connected to the detector 300, and the AIoT module 400 is used for judging the turbidity of the liquid according to the electric signal emitted by the detector 300.
In detail, the light source system 200 and the detector 300 are disposed on the water pipe in an inlaid manner, the emitting port of the light source system 200 is located on the pipe wall inside the water pipe 100, the light emitted from the light source system 200 is conveniently irradiated to the liquid in the water pipe 100, the detecting end of the detector 300 is also located on the pipe wall inside the water pipe 100, and the AIoT module 400 is also located on the water pipe 100.
It will be appreciated that the light source is capable of scattering a portion of light while passing through the liquid (water) within the water pipe 100, and that a portion of the scattered light is captured by the detector 300, and the detector 300 detects the intensity of the captured light and then sends a specific signal to the AIoT module 400, and the signal, after being processed by the AIoT module 400, can be used to determine whether the turbidity of the liquid within the water pipe 100 meets the standard. Compared with the prior art, the turbidity meter detection device is simple in structure, can solve the problem of complicated turbidity meter detection, improves turbidity detection efficiency and saves manpower.
Specifically, as shown in fig. 2, the irradiation direction of the light source system 200 is between 0 ° and 360 ° with respect to the receiving direction of the detector 300. In this embodiment, the irradiation direction of the light source system 200 is 90 degrees with respect to the receiving direction of the detector 300, and the 90 degrees are selected as the angles of the light source system 200 and the detector 300 because the proportion of the scattered light directly scattered by the suspended particles in the 90 degrees is large, and the proportion of the reflected light entering the 90 degrees through multiple reflections on the surface of the container is small, so that the signal to noise ratio is the highest when receiving the light intensity signal. In other embodiments, different angles may be chosen for more practical purposes.
Further, a black light absorbing layer 110 is provided on the inner wall of the water pipe 100. The purpose of the black light absorbing layer 110 is to absorb the light reaching the inner wall of the water pipe 100, so that the light is reflected, and the accuracy of the measurement of the detector 300 can be improved.
In addition, the light trapping structure 120 is disposed on the inner wall of the black light absorbing layer 110 in this embodiment. In detail, in the present embodiment, two light trapping structures 120 are provided, the light trapping structures 120 are rectangular, and the two light trapping structures 120 are uniformly disposed on the cross section of the water pipe 100 with the light source system 200 and the detector 300, that is, at an angle of 90 ° to each other. It will be appreciated that the light trapping structure 120 functions to repeatedly and sufficiently absorb light when the light enters the light trapping structure 120, and the effect is relatively better than that of the black light absorbing layer 110.
Further, a transparent layer 150 is provided on the inner wall of the black light absorbing layer 110. It will be appreciated that the water within the water pipe 100 is generally used for life, and thus in order to ensure that the turbidity of the water is measured while not being polluted, a transparent layer 150 is provided inside the water pipe 100, separating the black light absorbing layer 110, the detector 300 and the light source system 200 from the water within the water pipe 100, and without affecting the effect of the measurement.
Second, the water pipe 100 is provided with a water outlet 130 and a water inlet 140, and the water inlet 140 and the water outlet 130 are respectively connected with the water inlet pipe 600 and the water outlet pipe 500. In detail, the water inlet pipe 600 and the water outlet pipe 500 are made of stainless steel pipes or PE pipes, etc., and in other embodiments, pipes made of cast iron materials may be used to ensure the service lives of the water inlet pipe 600 and the water outlet pipe 500 and to save costs.
Further, the water inlet 140 and the water outlet 130 are respectively provided at left and right ends of the water pipe 100, and the light source system 200 and the detector 300 are both located between the water inlet 140 and the water outlet 130. It will be appreciated that the arrangement of the light source system 200 and the detector 300 is dependent on the optimal location of the measurement.
In this embodiment, the water inlet 140 and the water inlet pipe 600 are connected together by a welding or bonding process, and the water outlet 130 and the water outlet pipe 500 are also connected together by a welding or bonding process. In addition, in other embodiments, the water outlet 130 and the water inlet pipe 600, and the water inlet 140 and the water outlet pipe 500 may be connected by providing a screw pair, which is convenient for disassembly and assembly.
In addition, the intelligent internet of things turbidity meter provided in this embodiment further includes a mobile display end (not shown in the figure), where the mobile display end is wirelessly connected with the AIoT module 400, and the mobile display end is configured to receive and display the turbidity of the liquid determined by the AIoT module 400. In detail, the terminal display compares with the turbidity standard chart to finally obtain whether the measured water turbidity reaches the standard or not, and simultaneously displays and monitors the water turbidity in real time, and alarms when the water turbidity exceeds the normal range.
Second embodiment
The present embodiment provides an intelligent internet of things turbidity meter, which is substantially the same as the intelligent internet of things turbidity meter of the first embodiment, and the difference between the two is that the light trapping structure 120 in the intelligent internet of things turbidity meter of the present embodiment is provided with six.
As shown in fig. 3, in the intelligent internet of things turbidity meter provided in the present embodiment, compared with the embodiment, four light trapping structures 120 are newly added in the present embodiment, and the four newly added light trapping structures 120 may be randomly arranged in any direction. It can be understood that the six light trapping structures 120 can absorb more light, so that the absorption effect is better than that of the two light trapping structures 120, and the detection accuracy is improved.
Third embodiment
The embodiment provides an intelligent internet of things turbidity meter, which is substantially the same as the intelligent internet of things turbidity meter of the second embodiment, and the difference between the intelligent internet of things turbidity meter and the intelligent internet of things turbidity meter is that ten light trapping structures 120 in the intelligent internet of things turbidity meter of the embodiment are provided.
As shown in fig. 4, in the intelligent internet of things turbidity meter provided in the present embodiment, compared with the second embodiment, four light trapping structures 120 are newly added in the present embodiment, and the four light trapping structures 120 that are newly added may be randomly arranged in any direction. In the same way, more light can be absorbed by setting ten light trapping structures 120, the absorption effect is better than that of six light trapping structures 120, and the detection precision is improved.
The embodiment also provides a working principle of the intelligent Internet of things turbidity meter, which is as follows:
the invention provides a structural design of an intelligent Internet of things turbidity meter, which aims to solve the problem of complicated detection of the turbidity meter. In this structure, the light source and detector 300 are placed at 90 ° on the water flow channel side with the transparent layer 150, and the black light absorbing layer 110 is wrapped around the periphery. The principle adopted is roughly that a light source emits a beam of parallel light to propagate in a sample liquid, and if no suspended particles exist in the liquid, the direction of the light beam is not changed when the light beam linearly propagates; if there are suspended particles, the beam will scatter and change direction when it encounters a particle. Thereby forming scattered light in different directions. The more suspended particles (the higher turbidity) the more severe the scattering of light. Thereby causing an increase in the intensity of the scattered light. In the scattered light in the 90-degree direction, the proportion of light directly scattered by suspended particles is large, and the proportion of reflected light entering the 90-degree direction through multiple reflections on the surface of the container is small, so that the signal-to-noise ratio is highest when receiving the light intensity signal, and 90 degrees are selected as the angles of the light source and the detector 300.
This scattered light measurement method of the nephelometer is called a scattering method. The intensity of scattered light at 90 ° to the incident light corresponds to the formula Lei Lai:
Is＝((KNV2)/λ)×I0
wherein: i0-incident light intensity, is-scattered light intensity, N-number of particles per unit solution V-particle volume, λ -wavelength of incident light, K-coefficient. Under constant conditions of incident light, the intensity of scattered light is proportional to the turbidity of the solution over a range of turbidity. The standard solution is used for testing the scattered light intensity (signal intensity) corresponding to different turbidity (concentration) of the solution, and the obtained and synthesized detection quantity curve is fit. The sample concentration can be deduced from the measured light intensity in combination with the detection curve during the actual measurement. Then, after the receiver is connected with the AIoT module, the light intensity change can be detected in real time, so that the purpose of real-time on-line monitoring is achieved.
In summary, the turbidity meter of the intelligent internet of things provided by the embodiment has at least the following advantages:
the light emitted from the light source system 200 can be scattered when passing through the liquid (water) in the water pipe 100, and a part of the scattered light is captured by the detector 300, the detector 300 detects the intensity of the captured light, and then a specific signal is sent to the AIoT module 400, and the signal can be used for judging whether the turbidity of the liquid in the water pipe 100 meets the standard after being processed by the AIoT module 400. Compared with the prior art, the structure provided by the embodiment is simple in structure, and can solve the problem of complexity in turbidity meter detection, improve turbidity detection efficiency and save manpower.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. An intelligent internet of things turbidity meter, which is characterized by comprising:
a water pipe;
the light source system is arranged on the water pipeline and used for irradiating liquid in the water pipeline;
the detector is arranged on the water pipeline and is used for receiving and processing the optical signals sent by the light source system so as to convert the optical signals into electric signals;
and the AIoT module is electrically connected with the detector and is used for judging the turbidity of the liquid according to the electric signal sent by the detector.
2. The intelligent internet of things turbidity meter according to claim 1, wherein an included angle between an illumination direction of the light source system and a receiving direction of the detector is between 0 ° and 360 °.
3. The intelligent internet of things turbidity meter according to claim 1, wherein a black light absorption layer is arranged on the inner wall of the water pipeline.
4. The intelligent internet of things turbidity meter according to claim 3, wherein a light trapping structure is arranged on the inner wall of the black light absorbing layer.
5. The intelligent internet of things turbidity meter according to claim 3, wherein a transparent layer is arranged on the inner wall of the black light absorbing layer.
6. The intelligent internet of things turbidity meter according to claim 1, wherein a water outlet and a water inlet are arranged on the water pipeline, and the water inlet and the water outlet are respectively connected with a water inlet pipe and a water outlet pipe.
7. The intelligent internet of things turbidity meter of claim 6, wherein the water inlet and the water outlet are disposed at a left end and a right end of the water pipe, respectively, and the light source system and the detector are both disposed between the water inlet and the water outlet.
8. The intelligent internet of things turbidity meter of claim 6, wherein the water inlet and the water inlet pipe are connected together by a welding or bonding process.
9. The intelligent internet of things turbidity meter of claim 8, wherein the water outlet and the water outlet pipe are connected together by a welding or bonding process.
10. The intelligent internet of things turbidity meter according to claim 1, further comprising a mobile display end, wherein the mobile display end is wirelessly connected with the AIoT module, and the mobile display end is configured to receive and display the turbidity of the liquid judged by the AIoT module.
CN202310326164.2A 2023-03-29 2023-03-29 Intelligent Internet of things turbidity meter Pending CN116087049A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310326164.2A CN116087049A (en) 2023-03-29 2023-03-29 Intelligent Internet of things turbidity meter

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310326164.2A CN116087049A (en) 2023-03-29 2023-03-29 Intelligent Internet of things turbidity meter

Publications (1)

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CN116087049A true CN116087049A (en) 2023-05-09

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