Intelligent layered interface detection instrument based on multi-parameter measurement
By combining optical and inductive components for multi-parameter measurement, the problems of complex installation and viscous media contamination in traditional detection instruments are solved, achieving high-precision layered interface detection and ensuring measurement stability and accuracy.
Patent Information
- Application Number
- CN202422947241.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-02
- Publication Date
- 2025-11-18
- Estimated Expiration
- 2034-12-02
AI Technical Summary
Traditional interface level detectors are complex to install on equipment with stirring, are costly, and are prone to contamination by viscous media, affecting measurement accuracy and making it difficult to meet the needs of industrial production.
An intelligent layered interface detection instrument based on multi-parameter measurement is adopted, which combines optical units and inductive components to monitor the changes in color and conductivity of fluids. Combined with a temperature compensation circuit, the layered interface is detected by optical sensors and inductive coils, and the sensor is kept clean by a cleaning component.
It improves the detection accuracy and precision of layered interfaces, reduces the number of sensing devices required, extends the lifespan of sensors, and ensures the stability and accuracy of measurement results.
Smart Images
Figure CN223565069U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model belongs to liquid layered interface detection instrument technical field, concretely relates to an intelligent layered interface detection instrument based on multi -parameter measurement. BACKGROUND
[0002] In industrial production and process control, layered detection technology is crucial, especially in fine chemical industry, the extraction layered operation of material is a routine step, in prior art, the traditional interface liquid level detection instrument is applied to the layered instrument installed on the discharge pipe with stirring equipment, generally adopts the conductivity sensor mode. This mode mainly has the following shortcomings:
[0003] First, two groups of sensors need to be installed in two-phase layers, which increases the equipment cost and installation complexity, and requires manual setting of alarm value according to the material conductivity value to judge the interface point, at the same time, it has requirements for conductivity difference, which limits its application range.
[0004] Secondly, when the medium viscosity is high, it will adhere to the sensor and contaminate the sensor, affecting the accuracy of measurement. This requires frequent cleaning of the sensor, increasing the maintenance workload.
[0005] In summary, the traditional fluid layered interface detection method has many shortcomings and cannot meet the needs of actual production. INVENTION CONTENTS
[0006] In view of the above problems existing in the prior art, the purpose of the utility model is to provide an intelligent layered interface detection instrument based on multi -parameter measurement, which combines the comprehensive analysis and judgment of fluid color change and conductivity change, and overcomes the shortcomings of the traditional measurement method. At the same time, it can avoid the influence of viscous measuring medium on detection.
[0007] The utility model provides the following technical scheme: an intelligent layered interface detection instrument based on multi -parameter measurement, which comprises an instrument main body, the instrument main body comprises a measuring pipe in the middle and an outer shell fixedly arranged outside the measuring pipe, and a cavity structure is formed between the outer shell and the measuring pipe; An optical unit is arranged on the outer shell, a narrowband optical filter for filtering light is arranged on one side of the measuring pipe, and a reflecting plate is arranged on the other side of the measuring pipe, and the optical unit, the narrowband optical filter and the reflecting plate are correspondingly arranged; The cavity structure is provided with an inductance assembly for measuring the conductivity change.
[0008] Further, the optical unit comprises a light-emitting diode and an optical sensor for measuring the RGB and HSV characteristic values of the material, and a light shield is arranged outside the optical unit.
[0009] Further, the narrowband optical filter and the reflecting plate are embedded on the side wall of the measuring pipe.
[0010] Further, the number of inductance components is two groups, and the two groups of inductance components are arranged at the upper portion and the lower portion of the measuring tube respectively; the inductance component comprises upper and lower magnetic rings which are arranged on the outside of the measuring tube and are provided with magnetic induction coils connected with an external power supply.
[0011] Further, the cavity structure is provided with a temperature compensation circuit.
[0012] Further, the cleaning assembly comprises a water supply pipeline and an air supply pipeline, the water supply pipeline and the air supply pipeline are communicated and combined into one passage, and then are communicated with a cleaning nozzle arranged in the measuring tube; the water supply pipeline and the air supply pipeline are respectively provided with an air electromagnetic valve and a cleaning water electromagnetic valve; the cleaning nozzle is arranged opposite to the narrow-band optical filter; and the air electromagnetic valve and the cleaning water electromagnetic valve are controlled by a controller.
[0013] Further, sealing structures and corrosion-resistant structures are arranged at the mounting positions between the optical unit and the shell and between the narrow-band optical filter and the measuring tube; and the inner surface of the measuring tube is coated with a corrosion-resistant coating.
[0014] Further, the cavity structure is filled with insulating glue.
[0015] Further, the two ends of the measuring tube are provided with flange structures which are convenient for being connected with pipelines.
[0016] Further, the optical unit and the inductance component are connected with a host computer signal.
[0017] Compared with the prior art, the beneficial effects of the utility model are as follows:
[0018] 1) In the utility model, based on the arrangement of the optical unit, the chromaticity change of the layered fluid flowing through the measuring tube can be monitored, based on the arrangement of the inductance component, the influence of the layered 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 layered fluid, the multi-parameter measurement of optical measurement and electrical measurement is realized, the detection precision of the layered interface is significantly improved, and the arrangement of the sensing device is reduced.
[0019] 2) In the utility model, based on the arrangement of the cleaning assembly, the narrow-band optical filter can be effectively cleaned, the detection accuracy is improved, and the service life of the narrow-band optical filter is prolonged.
[0020] 3) In the utility model, based on the arrangement of the temperature compensation circuit, a temperature compensation mechanism is adopted, and the stability and accuracy of the measurement result are ensured. BRIEF DESCRIPTION OF DRAWINGS
[0021] Fig. 1 It is a structural schematic view of the utility model.
[0022] Fig. 2 It is a structure schematic view of the inductance assembly of the utility model;
[0023] Fig. 3 It is a structure schematic view of the cleaning assembly of the utility model. DETAILED DESCRIPTION
[0024] In order to make the purpose, technical scheme and advantages of the utility model more clear and intelligible, the utility model is further described in detail below in combination with the drawings and examples of the specification. It should be understood that the specific examples described herein are only used to explain the utility model and are not used to limit the utility model.
[0025] On the contrary, the utility model covers any substitution, modification, equivalent method and scheme made on the essence and scope of the utility model defined by the claims. Further, in order to make the public have a better understanding of the utility model, some specific details are described in detail in the following detailed description of the utility model. The utility model can also be completely understood without the description of these details for those skilled in the art.
[0026] Please refer to Figs. 1-3 An intelligent layered interface detection instrument based on multi-parameter measurement, comprising an instrument main body 1, an optical unit 2, an inductance assembly 3, a light shield 4, a narrowband filter 5, a cleaning spray head 7, an air electromagnetic valve 8, a cleaning water electromagnetic valve 9, a water supply pipeline, an air supply pipeline and a reflecting plate 10.
[0027] Specifically, the instrument main body 1 comprises a measuring pipe 101 in the middle and flange structures arranged at both ends of the measuring pipe 101, and the flange structures are used for connecting with a pipeline; an outer shell 102 is fixedly arranged outside the measuring pipe 101, a cavity structure is formed between the measuring pipe 101 and the outer shell 102, and the cavity structure is filled with insulating glue; and a corrosion-resistant coating is coated on the inner side wall of the measuring pipe 101.
[0028] Specifically, the optical unit 2, the narrowband filter 5 and the reflecting plate 10 are combined to form an optical sensing module; the optical unit 2 is embedded and installed on the outer shell 102, the optical unit 2 comprises a light-emitting diode and an optical sensor, the narrowband filter 5 and the reflecting plate 10 are both embedded and arranged on the side wall of the measuring pipe 101, the narrowband filter 5 is close to the position of the optical unit 2, and the reflecting plate 10 is arranged opposite to the narrowband filter 5.
[0029] The light shield 4 is arranged outside the optical unit 2 to prevent external light from interfering with the measurement.
[0030] The light emitting diode emits light, which is reflected by the narrow-band filter 5 to the fluid, and then reflected by the reflecting plate 10 to the optical sensor, so as to detect the RGB and HSV characteristic values of the fluid and monitor the chromaticity change of the fluid.
[0031] Specifically, the inductance assembly 3 is provided in the cavity structure and located at the upper and lower parts of the measuring tube 101.
[0032] The inductance assembly 3 includes two magnetic rings of ferrite, which are arranged on the outer side of the measuring tube 101 in parallel and glued by insulating silica gel. A magnetic induction coil is wound on each magnetic ring. One is a main loop coil, which is used as an alternating voltage input excitation coil. The other is a secondary loop coil, which is used as an output signal coil. An 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 structure, the conductivity difference between the layered materials flowing through the two inductance assemblies 3 can be monitored.
[0033] Specifically, a temperature compensation circuit is further provided in the cavity structure, which can ensure the standard measurement temperature of the inductance assembly 3.
[0034] Specifically, the cleaning nozzle 7, the air electromagnetic valve 8, the cleaning water electromagnetic valve 9, the water supply pipeline and the air supply pipeline are combined to form a cleaning assembly.
[0035] The water supply pipeline and the air supply pipeline are communicated and combined into one passage, which is communicated with the cleaning nozzle 7 arranged in the measuring tube 101. The air electromagnetic valve 8 and the cleaning water electromagnetic valve 9 are arranged on the water supply pipeline and the air supply pipeline respectively. The air electromagnetic valve 8 and the cleaning water electromagnetic valve 9 are controlled by the external controller 6. The cleaning nozzle 7 is arranged opposite to the narrow-band filter 5. If the cleaning water cannot be connected from the field pipeline, a cleaning pump needs to be arranged.
[0036] The cleaning assembly is started regularly by the set program, and the cleaning water and air are mixed to spray, so as to effectively remove the pollutants attached to the surface of the sensor.
[0037] Specifically, multilayer sealing materials are used at the interfaces of all components to prevent the invasion of corrosive liquids and gases and prolong the service life of the instrument.
[0038] Specifically, the optical unit 2 and the inductance assembly 3 can be directly connected with the upper computer signal, and the monitored signal data is transmitted to the upper computer for storage and display.
[0039] Or the optical unit 2 and the inductance assembly 3 are electrically connected with the computing transmission unit 11, the computing transmission unit 11 (which is provided with a display unit and internally integrated with a digital signal processing module) classifies, optimizes and corrects the multi-source data through a mathematical model to obtain layered data and converts the layered data into a digital signal for transmission to an upper computer.
[0040] The computing transmission unit 11 is based on an intelligent algorithm system and can effectively fuse RGB, HSV and conductivity features to classify and identify material layers. The system architecture includes a data preprocessing module, a model construction 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 the RGB values, HSV values and extreme abnormal values of conductivity that are beyond the reasonable range.
[0043] Feature standardization: normalize RGB, HSV and conductivity to eliminate the dimension effect.
[0044] Feature fusion: combine RGB, HSV and conductivity feature values into a multi-dimensional feature vector to prepare for subsequent model input.
[0045] Model construction module:
[0046] Model construction 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] Divide a large number of sample data (containing multi-dimensional feature vectors and corresponding class labels) of labeled material layer categories into training set, validation set and test set. Use the training set data to train the constructed CNN model. Use the Adam optimizer to train the model and dynamically adjust the learning rate to improve the convergence speed.
[0049] Optimization and correction module:
[0050] Use a neural network linear regression model as a corrector. After the CNN model completes the inference, obtain its classification output (such as the probability distribution of each category). Use the CNN output as the input of the correction model. Process through the independent correction model to obtain the corrected classification result. Overcome the possible deviation of the CNN output.
[0051] Classification and identification module:
[0052] The output shows the RGB color distribution, HSV value change and conductivity value in a chart, and the material layer category judged by the model.
[0053] The intelligent algorithm system can fuse the RGB and HSV data of the optical sensor and 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 multi-modal data fusion method can fully exploit the data association information between different materials, so that the model can 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 result of the CNN model. This correction mechanism is different from the traditional method of optimizing only in the model training process, but further adjusts the result according to the actual situation after the model output. Make up for the possible shortcomings of the CNN model, improve the accuracy of the final detection result.
[0055] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims
1. An intelligent hierarchical interface detection instrument based on multi-parameter measurement, characterized in that, The instrument includes a main body (1), which includes a measuring tube (101) in the middle and a housing (102) fixedly disposed outside the measuring tube (101). A cavity structure is formed between the housing (102) and the measuring tube (101). An optical unit (2) is disposed on the housing (102). A narrow band filter (5) for filtering light is disposed on one side of the measuring tube (101) and a reflector (10) is disposed on the other side. The optical unit (2), the narrow band filter (5) and the reflector (10) are disposed correspondingly. An inductor component (3) for measuring changes in conductivity is disposed inside the cavity structure.
2. The intelligent hierarchical interface detection instrument based on multi-parameter measurement according to claim 1, characterized in that, The optical unit (2) includes a light-emitting diode and an optical sensor for measuring the RGB and HSV characteristic values of the material. A light shield (4) is provided on the outside of the optical unit (2).
3. The intelligent hierarchical interface detection instrument based on multi-parameter measurement according to claim 1, characterized in that, The narrowband filter (5) and the reflector (10) are both embedded in the side wall of the measuring tube (101).
4. The intelligent hierarchical interface detection instrument based on multi-parameter measurement according to claim 3, characterized in that, The number of inductor components (3) is two sets, and the two sets of inductor components (3) are respectively arranged at the upper and lower parts of the measuring tube (101); the inductor component (3) includes 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 on the magnetic rings.
5. The intelligent hierarchical interface detection instrument based on multi-parameter measurement according to claim 1, characterized in that, The cavity structure is equipped with a temperature compensation circuit.
6. The intelligent hierarchical interface detection instrument based on multi-parameter measurement according to claim 1, characterized in that, It also includes a cleaning assembly, 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 a single passage, which is connected to a cleaning nozzle (7) installed in the measuring tube (101). An air solenoid valve (8) and a cleaning water solenoid valve (9) are respectively installed on the water supply pipeline and the air supply pipeline. The cleaning nozzle (7) is positioned directly facing the narrow band filter (5). The air solenoid valve (8) and the cleaning water solenoid valve (9) are controlled by a controller (6).
7. The intelligent hierarchical interface detection instrument based on multi-parameter measurement according to claim 1, characterized in that, The optical unit (2) and the housing (102) are provided with sealing and anti-corrosion structures at the installation positions between them and the narrow band filter (5) and the measuring tube (101); the inner surface of the measuring tube (101) is coated with an anti-corrosion coating.
8. The intelligent hierarchical interface detection instrument based on multi-parameter measurement according to claim 1, characterized in that, The cavity structure is filled with insulating adhesive.
9. The intelligent hierarchical 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 to facilitate connection with pipelines.
10. The intelligent hierarchical interface detection instrument based on multi-parameter measurement according to claim 1, characterized in that, Both the optical unit (2) and the inductor assembly (3) are connected to the host computer signal.