Intelligent layered interface detection instrument based on multi-parameter measurement

Abstract

The invention discloses an intelligent layered interface detection instrument based on multi-parameter measurement, and belongs to the technical field of liquid layered interface detection instruments. The instrument comprises an instrument body, the instrument body comprises a measuring tube in the middle and a shell fixedly arranged on the outer side of the measuring tube, and a cavity structure is formed between the shell and the measuring tube; an optical unit is arranged on the shell, a narrow-band optical filter for screening pipelines is arranged on one side of the optical unit on the measuring tube, a reflecting plate is arranged on the other side of the optical unit, and the optical unit, the narrow-band optical filter and the reflecting plate are correspondingly arranged; the cavity structure is internally provided with an inductance assembly used for measuring the change of conductivity. According to the method, the defects of a traditional measurement method are overcome by combining comprehensive analysis and judgment of fluid chromaticity change and conductivity change; and meanwhile, the influence of a viscous measurement medium on detection can be avoided.

Description

Technical Field

[0001] The invention belongs to the technical field of liquid stratified interface detection instruments, and in particular relates to an intelligent stratified interface detection instrument based on multi-parameter measurement. Background Art

[0002] In industrial production and process control, stratification detection technology is crucial, especially in fine chemicals, where material extraction and stratification is a routine step. In the prior art, when traditional interface level detectors are used in stirring equipment, the stratification instrument installed on the discharge pipe generally uses a conductivity sensor. This method has the following main disadvantages:

[0003] First, two sets of sensors need to be installed in the two-phase layers respectively, which increases the equipment cost and installation complexity. It is necessary to manually set the alarm value according to the material conductivity value to determine the interface point. At the same time, there are requirements for the conductivity difference, which limits its scope of application.

[0004] Secondly, when the medium has high viscosity, it will adhere to the sensor, contaminate the sensor, and affect the accuracy of the measurement. This requires frequent cleaning of the sensor, increasing the maintenance workload.

[0005] In summary, the traditional fluid stratification interface detection method has many shortcomings and is difficult to meet the needs of actual production. Summary of the invention

[0006] In view of the above-mentioned problems existing in the prior art, the purpose of the present invention is to provide an intelligent layered interface detection instrument based on multi-parameter measurement, which combines the comprehensive analysis and judgment of fluid chromaticity changes and conductivity changes, overcomes the shortcomings of traditional measurement methods; and at the same time can avoid the influence of viscous measurement media on detection.

[0007] The present invention provides the following technical solution: an intelligent layered interface detection instrument based on multi-parameter measurement, comprising an instrument body, wherein the instrument body comprises a measuring tube in the middle and a shell fixedly arranged on the outside of the measuring tube, and a cavity structure is formed between the shell and the measuring tube; an optical unit is arranged on the shell, a narrow-band filter for screening pipelines is arranged on one side of the optical unit on the measuring tube, and a reflective plate is arranged on the other side, and the optical unit, the narrow-band filter and the reflective plate are arranged correspondingly; an inductor component for measuring conductivity changes is arranged in the cavity structure.

[0008] Furthermore, the optical unit includes a light emitting diode and an optical sensor for measuring RGB and HSV characteristic values ​​of the material, and a light shield is arranged on the outer side of the optical sensor.

[0009] Furthermore, the narrow-band filter and the reflector are both embedded in the side wall of the measuring tube.

[0010] Furthermore, there are two groups of inductance components, which are respectively arranged at the upper and lower parts of the measuring tube; the inductance components include two magnetic rings arranged at the upper and lower parts, the magnetic rings are sleeved on the outside of the measuring tube, and a magnetic induction coil connected to an external power supply is wound around the magnetic rings.

[0011] Furthermore, a temperature compensation circuit is provided in the cavity structure.

[0012] Furthermore, it also includes a cleaning component, which includes a water supply pipeline and an air supply pipeline. The water supply pipeline and the air supply pipeline are connected and merged into one passage and then connected to a cleaning nozzle arranged in the measuring tube. The water supply pipeline and the air supply pipeline are respectively provided with an air solenoid valve and a cleaning water solenoid valve; the cleaning nozzle is arranged directly facing the narrow-band filter; the air solenoid valve and the cleaning water solenoid valve are controlled by a controller.

[0013] Furthermore, sealing structures and anti-corrosion structures are provided at the installation positions between the optical unit and the housing, and between the narrow-band filter and the measuring tube; and the inner surface of the measuring tube is coated with an anti-corrosion coating.

[0014] Furthermore, the optical unit and the inductor component are electrically connected to a computing and transmitting unit for data processing; the computing and transmitting unit classifies, optimizes and corrects the measurement data from multiple sources to obtain hierarchical data, and converts them into digital signals for transmission to a host computer; the computing and transmitting unit is equipped with a display unit and has a digital signal processing module integrated inside.

[0015] Furthermore, the cavity structure is filled with insulating glue.

[0016] Furthermore, both ends of the measuring tube are provided with flange structures for easy connection with pipelines.

[0017] By adopting the above technology, compared with the prior art, the beneficial effects of the present invention are as follows:

[0018] 1) In the present invention, based on the setting of the optical unit, the chromaticity change of the stratified fluid passing through the measuring tube can be monitored, and based on the set inductance component, the influence of the stratified fluid flowing through the inductance component on the magnetic field in the inductance component is utilized to detect the change of the conductivity of the stratified fluid, thereby realizing multi-parameter measurement of optical measurement and electrical measurement, significantly improving the detection accuracy of the stratified interface, and reducing the setting of the sensor equipment;

[0019] 2) In the present invention, based on the cleaning component provided, the narrow-band filter can be effectively cleaned, the detection accuracy is improved, and the service life of the narrow-band filter is extended;

[0020] 3) In the present invention, based on the setting of the temperature compensation circuit, a temperature compensation mechanism is adopted to ensure the stability and accuracy of the measurement results;

[0021] 4) In the present invention, based on the setting of the calculation and transmission unit, multiple parameters can be classified, optimized and corrected to obtain hierarchical data, which are converted into digital signals and transmitted to the host computer to realize intelligent analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0023] Figure 2 is a schematic structural diagram of an inductor assembly of the present invention;

[0024] Figure 3 It is a schematic diagram of the structure of the cleaning component of the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments of the specification. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0026] On the contrary, the present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention as defined by the claims. Further, in order to make the public have a better understanding of the present invention, some specific details are described in detail in the detailed description of the present invention below. Those skilled in the art can fully understand the present invention without the description of these details.

[0027] See also Figure 1-3 An intelligent layered interface detection instrument based on multi-parameter measurement includes an instrument body 1, an optical unit 2, an inductor component 3, a light shield 4, a narrow-band filter 5, a controller 6, a cleaning nozzle 7, an air solenoid valve 8, a cleaning water solenoid valve 9, a water supply pipeline, an air supply pipeline, a reflector 10 and a calculation and transmission unit 11.

[0028] Specifically, the instrument body 1 includes a measuring tube 101 in the middle and flange structures arranged at both ends of the measuring tube 101, and the flange structure is used to connect with the pipeline; a shell 102 is fixedly arranged on the outside of the measuring tube 101, and a cavity structure is formed between the measuring tube 101 and the shell 102, and the cavity structure is filled with insulating glue; the inner wall of the measuring tube 101 is coated with an anti-corrosion coating.

[0029] Specifically, the optical unit 2, the narrowband filter 5 and the reflective plate 10 are combined to form an optical sensing module; the optical unit 2 is embedded and installed on the housing 102, the optical unit 2 includes a light-emitting diode and an optical sensor, the narrowband filter 5 and the reflective plate 10 are both embedded and set on the side wall of the measuring tube 101, the narrowband filter 5 is close to the optical unit 2, and the reflective plate 10 is arranged opposite to the narrowband filter 5.

[0030] The light shield 4 is arranged outside the optical unit 2 to prevent external light from interfering with the measurement.

[0031] The light emitting diode emits light, which irradiates the fluid after passing through the narrow-band filter 5, and then is reflected back to the optical sensor through the reflective plate 10 to detect the RGB and HSV characteristic values ​​of the fluid and monitor the chromaticity change of the fluid.

[0032] Specifically, there are two groups of inductance components 3 , which are arranged in the cavity structure and located at the upper part and the lower part of the measuring tube 101 respectively.

[0033] The inductor assembly 3 includes two ferrite magnetic rings, both of which are sleeved on the outside of the measuring tube 101, arranged side by side, and glued with insulating silicone. A magnetic induction coil is wound around each magnetic ring, one of which is a main loop coil, serving as an alternating voltage input excitation coil, and the other is a secondary loop coil, serving as an output signal coil. Alternating voltage is generated under electromagnetic induction. When the input voltage is constant, the ratio of the output voltage to the input voltage is proportional to the liquid conductivity value. Based on the setting of this structure, the difference in conductivity between the layered materials flowing through the two sets of inductor assemblies 3 can be monitored.

[0034] Specifically, a temperature compensation circuit is also provided in the cavity structure, and the temperature compensation circuit can ensure a standard measurement temperature for the measurement of the inductor component 3 .

[0035] Specifically, the controller 6, the cleaning nozzle 7, the air solenoid valve 8, the cleaning water solenoid valve 9, the water supply pipeline and the air supply pipeline are combined to form a cleaning component.

[0036] The water supply pipeline is connected with the air supply pipeline and then merged into one passage, and then connected with the cleaning nozzle 7 arranged in the measuring tube 101. The water supply pipeline and the air supply pipeline are respectively provided with an air solenoid valve 8 and a cleaning water solenoid valve 9; the air solenoid valve 8 and the cleaning water solenoid valve 9 are controlled by the controller 6. The cleaning nozzle 7 is arranged opposite to the narrow-band filter 5. If the cleaning water cannot be taken out from the on-site pipeline, a cleaning pump needs to be provided.

[0037] The cleaning component is started regularly through a set program, using a mixture of cleaning water and air for spraying, thereby effectively removing pollutants attached to the sensor surface.

[0038] Specifically, multiple layers of anti-sealing materials are used at the interfaces of all components to prevent the intrusion of corrosive liquids and gases and extend the service life of the instrument.

[0039] Specifically, the optical unit 2 and the inductor component 3 are electrically connected to the computing and transmitting unit 11. The computing and transmitting unit 11 (which is equipped with a display unit and has a digital signal processing module integrated therein) classifies, optimizes and corrects multi-source data through a mathematical model to obtain layered data, and converts it into digital signals for transmission to a host computer.

[0040] The calculation and transmission unit 11 is based on an intelligent algorithm system, which can effectively integrate RGB, HSV and conductivity characteristics to classify and identify the material layer. The system architecture includes a data preprocessing module, a model building module, a model training module, an optimization and correction module, and a classification and identification module. Among them:

[0041] The functions of the data preprocessing module are as follows:

[0042] Data cleaning: Remove extreme outliers of RGB values, HSV values, and conductivity that are beyond the reasonable range.

[0043] Feature normalization: RGB, HSV, and conductivity are normalized to eliminate dimension effects.

[0044] Feature fusion: Merge RGB, HSV, and conductivity feature values ​​into a multidimensional feature vector to prepare for subsequent model input.

[0045] Model building modules:

[0046] Build a model based on convolutional neural network (CNN): Design a corresponding CNN architecture with dimensions corresponding to RGB, HSV and conductivity feature values. Use multiple convolutional layers and pooling layers to extract features at different levels.

[0047] Model training module:

[0048] A large amount of sample data with labeled material layer categories (including multi-dimensional feature vectors and corresponding category labels) is divided into training set, validation set and test set. The constructed CNN model is trained using the training set data. The Adam optimizer is used for model training, and the learning rate is dynamically adjusted to improve the convergence speed.

[0049] Optimization and correction module:

[0050] The neural network linear regression model is used as a corrector. After the CNN model completes reasoning, its classification output (such as the probability distribution of each category) is obtained. The CNN output is used as the input of the correction model and processed by an independent correction model to obtain the corrected classification result. This overcomes the possible deviation of the CNN output.

[0051] Classification and recognition module:

[0052] The output is a chart showing the RGB color distribution, HSV value changes, and conductivity values, while also showing the material layer category determined by the model.

[0053] This intelligent algorithm system can fuse the RGB and HSV data of the optical sensor with the conductivity sensor data to form a multi-dimensional feature vector, and use the CNN model in deep learning for automatic feature learning and classification. This multimodal data fusion method can fully mine the data connection information between different materials, enabling the model to learn more comprehensive and representative material layer feature patterns, thereby improving the accuracy and reliability of classification.

[0054] In terms of classification result processing, an independent mathematical model is used to correct the classification results of the CNN model. This correction mechanism is different from the traditional method of optimizing only during model training. Instead, it further adjusts the results according to the actual situation after the model is output. This can make up for the possible deficiencies of the CNN model and improve the accuracy of the final detection results.

[0055] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent layered interface detection instrument based on multi-parameter measurement, characterized in that: The instrument comprises an instrument body (1), the instrument body (1) comprising a measuring tube (101) in the middle and a shell (102) fixedly arranged outside the measuring tube (101), a cavity structure being formed between the shell (102) and the measuring tube (101); an optical unit (2) being arranged on the shell (102); a narrow-band filter (5) for screening pipelines being arranged on one side of the optical unit (2) on the measuring tube (101), and a reflecting plate (10) being arranged on the other side; the optical unit (2), the narrow-band filter (5) and the reflecting plate (10) being arranged correspondingly; and an inductor component (3) for measuring conductivity changes being arranged in the cavity structure.

2. The intelligent layered interface detection instrument based on multi-parameter measurement according to claim 1 is characterized in that: The optical unit (2) comprises a light emitting diode and an optical sensor for measuring RGB and HSV characteristic values ​​of a material, and a light shield (4) is arranged outside the optical sensor.

3. The intelligent layered interface detection instrument based on multi-parameter measurement according to claim 1 is characterized in that: The narrow-band filter (5) and the reflective plate (10) are both embedded in the side wall of the measuring tube (101).

4. The intelligent layered interface detection instrument based on multi-parameter measurement according to claim 3 is characterized in that: The number of the inductance components (3) is two groups, and the two groups of inductance components (3) are respectively arranged at the upper part and the lower part of the measuring tube (101); the inductance components (3) comprise two magnetic rings arranged at the upper and lower parts, the magnetic rings are sleeved on the outside of the measuring tube (101), and a magnetic induction coil connected to an external power supply is wound around the magnetic rings.

5. The intelligent layered interface detection instrument based on multi-parameter measurement according to claim 1 is characterized in that: A temperature compensation circuit is arranged in the cavity structure.

6. The intelligent layered interface detection instrument based on multi-parameter measurement according to claim 1, characterized in that: The invention also comprises a cleaning component, wherein the cleaning component comprises a water supply pipeline and an air supply pipeline, wherein the water supply pipeline and the air supply pipeline are connected and merged into one passage and then connected to a cleaning nozzle (7) arranged in the measuring tube (101), wherein the water supply pipeline and the air supply pipeline are respectively provided with an air solenoid valve (8) and a cleaning water solenoid valve (9); the cleaning nozzle (7) is arranged directly facing the narrow-band filter (5); and the air solenoid valve (8) and the cleaning water solenoid valve (9) are controlled by a controller (6).

7. The intelligent layered interface detection instrument based on multi-parameter measurement according to claim 1 is characterized in that: Sealing structures and anti-corrosion structures are provided at the installation positions between the optical unit (2) and the housing (102) and between the narrow-band filter (5) and the measuring tube (101); and the inner surface of the measuring tube (101) is coated with an anti-corrosion coating.

8. The intelligent layered interface detection instrument based on multi-parameter measurement according to claim 1, characterized in that: The optical unit (2) and the inductor component (3) are electrically connected to a calculation and transmission unit (11) for data processing; the calculation and transmission unit (11) classifies, optimizes and corrects multi-source measurement data to obtain hierarchical data, and converts the data into digital signals for transmission to a host computer; the calculation and transmission unit (11) is equipped with a display unit and has a digital signal processing module integrated therein.

9. The intelligent layered interface detection instrument based on multi-parameter measurement according to claim 1, characterized in that: The cavity structure is filled with insulating glue.

10. The intelligent layered interface detection instrument based on multi-parameter measurement according to claim 1, characterized in that: Both ends of the measuring tube (101) are provided with flange structures for easy connection with pipelines.

Images