Coal slurry concentration detection system and method based on multi-energy infrared and pressure difference information

Abstract

The invention discloses a coal slurry concentration detection system and method based on multi-energy infrared and pressure difference information, and relates to the technical field of coal slurry concentration detection. The detection system comprises a multifunctional infrared detection mechanism, a pressure difference detection mechanism and a data acquisition device; the multifunctional infrared detection mechanism comprises a quartz sampling tube, an infrared laser transmitter and an infrared semiconductor sensor; the pressure difference detection mechanism comprises a sampling tube, a diaphragm pressure sensor and a pressure difference transmitter; the data acquisition device comprises a data acquisition card, a signal isolator and a computer. The multi-energy infrared sensor is used for measuring the intensity of multi-energy infrared transmission light, the pressure difference sensor is used for measuring the pressure difference related to the coal slurry fluid mechanical characteristics, the measurement results of the multi-energy light intensity information and the pressure difference information are comprehensively analyzed, and by means of a physical model and a machine learning method, the coal slurry fluid mechanical characteristics are obtained. And the ore pulp volume concentration and the discrete phase true density are calculated, so that the change of the coal slurry concentration can be reflected more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of coal slurry concentration detection, and in particular to a coal slurry concentration detection system and method based on multi-energy infrared and pressure difference information. Background Art

[0002] Coal slurry concentration detection is of great significance in the process of coal washing and transportation. Accurate concentration detection can improve production efficiency, optimize resource allocation, reduce energy consumption, and effectively prevent equipment wear and blockage, ensuring the stable operation of the production system. At the same time, accurate concentration control is also crucial for environmental protection, which can reduce the discharge of wastewater and waste materials and achieve green production.

[0003] Traditional coal slurry concentration detection methods, such as weight method, drying method and chemical titration method, have problems such as complex operation, long detection cycle and low accuracy, which cannot meet the needs of modern industry for real-time, efficient and accurate detection. Therefore, detection methods based on optical principles have gradually attracted attention.

[0004] The transmitted light theory measures the attenuation of light intensity in a medium. According to the Lambert-Beer law, the intensity of transmitted light is exponentially related to the medium concentration and the optical path, which makes it highly applicable in concentration detection. However, coal slurry is generally black, and its color changes with the difference in the true density of its discrete phases, thereby interfering with the absorption of the discrete phase transmitted light intensity. Therefore, detection based on simple optical principles cannot accurately reflect changes in coal slurry concentration. Summary of the invention

[0005] In view of the above problems, the present invention discloses a coal slurry concentration detection system and method based on multi-energy infrared and pressure difference information. By comprehensively utilizing the transmitted light intensity and pressure difference data, the changes in coal slurry concentration can be more accurately and effectively reflected.

[0006] According to the purpose of the present invention, a coal slurry concentration detection system based on multi-energy infrared and pressure difference information is proposed, which includes a multi-energy infrared detection mechanism, a pressure difference detection mechanism and a data acquisition device.

[0007] The multi-energy infrared detection mechanism includes a quartz sampling tube, an infrared laser emitter and an infrared semiconductor sensor; the feed port of the quartz sampling tube is connected to the sampling pool through a sampling pump, and the discharge port of the quartz sampling tube is connected to the pressure difference detection mechanism; the infrared laser emitters are multiple and arranged on the quartz sampling tube, and the multiple infrared laser emitters have different powers; the infrared semiconductor sensor is arranged on the quartz sampling tube, and is used to detect the intensity of the transmitted infrared light, and is multiple and arranged corresponding to the multi-energy infrared laser emitters.

[0008] The differential pressure detection mechanism includes a sampling tube, a diaphragm pressure sensor and a differential pressure transmitter; the sampling tube feed port is connected to the quartz sampling tube discharge port, and the sampling tube discharge port is connected to a waste liquid bucket or a sampling pool; the diaphragm pressure sensors are installed at the upper and lower ends of the sampling tube, and the two diaphragm pressure sensors are connected to the differential pressure transmitter.

[0009] The data acquisition device includes a data acquisition card, a signal isolator and a computer; the data acquisition card is connected to the infrared semiconductor sensor and the differential pressure transmitter through the signal isolator, the data acquisition card is connected to the computer through a data line, and the data collected by the data acquisition card is processed by computer software.

[0010] Preferably, the quartz sampling tube is made of high infrared transmittance quartz bonded together, and the quartz sampling tube outlet and quartz sampling tube inlet are both funnel-shaped and manufactured by 3D printing.

[0011] Preferably, the infrared laser emitter and the infrared semiconductor sensor are both arranged close to the wall of the quartz sampling tube, and the normal phase of the infrared semiconductor sensor photosensitive element forms an angle of 180° with the laser path of the infrared laser emitter and are collinear.

[0012] Preferably, the diaphragm pressure sensor is connected to the sampling tube via a three-way threaded hole provided on the sampling tube, and the angle between its axis and the axis of the sampling tube is 45°. The height difference between the two diaphragm pressure sensors is 1 m.

[0013] The present invention further discloses a method for detecting coal slurry concentration using the above detection system, comprising the following steps:

[0014] Step 1: Build a multi-energy infrared detection mechanism and a differential pressure detection mechanism, and connect the two mechanisms through a hose to form a closed-loop system, so that the coal slurry circulates in the equipment; the infrared semiconductor sensor and the differential pressure transmitter are connected to the data acquisition card through a signal isolator, and the data acquisition card is connected to the computer through a data cable, and all components are powered on and running;

[0015] Step 2: After ensuring that the data acquisition card and the computer are successfully connected, perform detailed parameter settings through the computer software interface, including unit system conversion, signal conversion, sampling rate setting, and data storage configuration; after completing the parameter settings, use the test liquid with a concentration of 0g / L to test the sealing of the equipment;

[0016] Step 3: Prepare coal samples with different ash contents, dry and crush each coal sample, accurately weigh the coal sample to obtain the starting mass; convert the treated coal sample into coal slurry, and measure coal slurry of different concentrations for concentration detection in subsequent experiments;

[0017] Step 4: Use a sampling pump to transport the prepared coal slurry to the equipment to detect the uniformity and continuity of the coal slurry flow and monitor the stability of the output signals of the infrared and pressure difference equipment;

[0018] Step 5: After the equipment is in stable working condition, start collecting light intensity and pressure difference data. After the data signal is stable, collect data for three minutes.

[0019] Step 6: After completing the previous set of data collection, continue to add coal samples with the same ash content to the sampling pool, test coal slurries of different concentrations under this ash content, observe the changes in the output signal, and collect data after the signal stabilizes;

[0020] Step 7: gradually increase the coal slurry concentration and conduct continuous experimental observations;

[0021] Step 8: After completing the measurement of coal slurries of various concentrations under one ash content condition, replace coal samples with different ash contents and conduct new measurements;

[0022] Step 9: After completing multiple sets of experiments, calibrate the collected light intensity and pressure difference data;

[0023] Step 10: Apply the processed data to the decision tree ensemble learning regression model based on the bagging principle for multiple regression analysis. The model establishes a mapping relationship between input variables and output variables. Then, the model is tested and evaluated for significance using variance analysis. If the adjusted regression coefficient is greater than 95% and the predicted regression coefficient is greater than 85%, it indicates that the model accuracy meets the requirements; the actual regression coefficient also meets the standard; if it fails to meet the standard, the model parameters need to be adjusted and retrained and fitted;

[0024] Step 11: Write the fitted multivariate regression model into the controller program to realize online detection of slurry.

[0025] Compared with the prior art, the advantages of the coal slurry concentration detection system and method based on multi-energy infrared and pressure difference information disclosed in the present invention are:

[0026] 1. The present invention measures the intensity of multi-energy infrared transmission light through a multi-energy infrared sensor, measures the pressure difference related to the fluid mechanics properties of coal slurry through a differential pressure sensor, and comprehensively analyzes the measurement results of multi-energy light intensity information and pressure difference information. With the help of physical models and machine learning methods, the volume concentration of the slurry and the true density of the discrete phase are calculated, which can more accurately reflect the changes in the coal slurry concentration.

[0027] 2. The present invention uses machine learning algorithms and basic physical principles to process complex nonlinear relationships through multivariate regression analysis, and establishes a mapping between input variables (transmitted light intensity, pressure difference) and output variables (coal slurry concentration, discrete phase true density), which is expected to become an effective means to achieve high-precision real-time detection of slurry. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 This is an equipment diagram of the coal slurry concentration detection system disclosed in the present invention.

[0030] In the figure: 1-sampling pool; 2-sampling pump; 3-quartz sampling tube; 4-infrared laser emitter; 5-infrared semiconductor sensor; 6-quartz sampling tube feed port; 7-quartz sampling tube discharge port; 8-sampling tube; 9-diaphragm pressure sensor; 10-differential pressure transmitter; 11-sampling tube feed port; 12-sampling tube discharge port; 13-signal isolator; 14-data acquisition card. DETAILED DESCRIPTION

[0031] The specific implementation of the present invention is briefly described below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Figure 1 The preferred embodiments of the present invention are shown and analyzed in detail.

[0033] like Figure 1 The coal slurry concentration detection system based on multi-energy infrared and pressure difference information shown includes a multi-energy infrared detection mechanism, a pressure difference detection mechanism and a data acquisition device.

[0034] The multi-energy infrared detection mechanism includes a quartz sampling tube 3, an infrared laser emitter 4 and an infrared semiconductor sensor 5. The quartz sampling tube feed port 6 is connected to the sampling pool 1 through the sampling pump 2. The sampling pump 2 transfers the coal slurry to be detected from the sampling pool 1 to the quartz sampling tube 3 by setting the corresponding rotation speed for concentration detection; the quartz sampling tube discharge port 7 is connected to the pressure difference detection mechanism. The quartz sampling tube 3 is made of high-transmittance infrared quartz bonded together. The quartz sampling tube feed port 6 and the quartz sampling tube discharge port 7 are both funnel-shaped and made by 3D printing. The infrared laser emitter 4 is three and is arranged on the quartz sampling tube 3 from top to bottom. The three infrared laser emitters 4 are divided into high, medium and low different powers, and their powers are 200mw, 50mw and 5mw respectively. Among them, the high and medium power infrared laser emitters 4 emit infrared lasers with longer wavelengths, and the low power infrared laser emitters 4 emit infrared lasers with shorter wavelengths, thereby penetrating the quartz sampling tube 3. The infrared laser emitters 4 of different powers are selected to adapt to the detection of different concentration ranges, because the light intensity change of high-power infrared laser is not obvious when detecting low concentration, and the light intensity change of low-power infrared laser is also not obvious when detecting high concentration. The infrared semiconductor sensor 5 is set on the quartz sampling tube 3 to detect the intensity of transmitted infrared light, which is three corresponding to the multi-energy infrared laser emitter 4. The infrared laser emitter 4 and the infrared semiconductor sensor 5 are both set close to the wall of the quartz sampling tube 3, and the infrared semiconductor sensor 5 photosensitive element is at an angle of 180° with the laser path of the infrared laser emitter 4 and is collinear.

[0035] The differential pressure detection mechanism includes a sampling tube 8, a diaphragm pressure sensor 9 and a differential pressure transmitter 10. The sampling tube 8 is placed vertically, the sampling tube feed port 11 is connected to the quartz sampling tube discharge port 7, and the sampling tube discharge port 12 is connected to the sampling pool 1. The diaphragm pressure sensor 9 is installed at the upper and lower ends of the sampling tube 8. Both diaphragm pressure sensors 9 are connected to the differential pressure transmitter 10. The differential pressure transmitter 10 collects the signals of the top and bottom diaphragm pressure sensors 9, calculates the differential pressure data, forms a differential pressure signal, and transmits the analog signal to the data acquisition device through the data line. The diaphragm pressure sensor 9 is connected to the sampling tube 8 through a three-way threaded hole arranged on the sampling tube 8, and its axial direction is at an angle of 45° with the axial direction of the sampling tube 8, which is used to prevent the slurry from agglomerating. The height difference between the two diaphragm pressure sensors 9 is 1m, and the upper and lower diaphragm pressure sensors 9 are respectively at a certain distance from the sampling tube feed port 11 and the sampling tube discharge port 12.

[0036] The data acquisition device includes a data acquisition card 14, a signal isolator 13 and a computer. The data acquisition card 14 is connected to the infrared semiconductor sensor 5 and the differential pressure transmitter 10 through the signal isolator 13, and the signal isolator 13 plays a role in shielding interference and improving protection; the data acquisition card 14 is connected to the computer through a data line, and the data collected by the data acquisition card 14 is processed by computer software.

[0037] The present invention further discloses a method for detecting coal slurry concentration by the above detection system, comprising the following steps:

[0038] Step 1: Build a multi-energy infrared detection mechanism and a differential pressure detection mechanism, and connect the two mechanisms through a hose to form a closed-loop system so that the coal slurry circulates in the equipment. The light source includes 5mw, 50mw and 200mw infrared laser emitters 4, which are close to the wall of the square tank. The infrared semiconductor sensor 5 and the differential pressure transmitter 10 are connected to the data acquisition card 14 through the signal isolator 13. The data acquisition card 14 is connected to the computer through a USB cable. All components are powered on to realize continuous and real-time detection of coal slurry concentration.

[0039] Step 2: After ensuring that the data acquisition card 14 and the computer are successfully connected, detailed parameter settings are performed through the computer software interface, including but not limited to unit system conversion, signal conversion, sampling rate setting and data storage configuration. After completing the parameter settings, the sealing of the equipment is tested using a test liquid with a concentration of 0g / L. Specifically, the equipment is filled with 0g / L of liquid, and by monitoring the output of the infrared semiconductor sensor 5 and the differential pressure transmitter 10 and checking the connection points of the equipment, it is verified whether the equipment is well sealed and that no external interference affects the experimental results.

[0040] Step 3: Prepare coal samples with different ash contents, dry and crush each coal sample, accurately weigh 20 grams to obtain the starting mass; convert the treated coal sample into coal slurry, and measure the coal slurry of different concentrations for concentration detection in subsequent experiments. The specific method of making coal slurry is: accurately pour the pre-weighed coal sample powder into a 2-liter beaker, add an appropriate amount of clean water to the beaker, and use a glass rod to stir it thoroughly to ensure the uniformity of the coal slurry, so as to ensure that the coal slurry is uniform when it flows into the equipment.

[0041] Step 4: Pour the prepared coal slurry into the sampling pool 1, and use the sampling pump 2 to transport the prepared coal slurry from the sampling pool 1 to the equipment for testing, ensuring that the coal slurry flows according to the predetermined process path of the equipment: first passing through the multi-energy infrared detection mechanism, then passing through the pressure difference detection mechanism, and finally returning to the sampling pool 1 to form a closed loop. Before the equipment operating conditions are stable, monitor and confirm the flow state of the coal slurry in the equipment, as well as the stability of the output signals of the transmitted light and pressure difference equipment, to ensure that the coal slurry flows evenly inside the equipment, and that the output signals of all detection equipment are stable and reliable, providing accurate data support for subsequent testing.

[0042] Step 5: After the equipment is in stable working condition, start collecting light intensity and pressure difference data. After the data signal is stable, collect data for 3 minutes.

[0043] Step 6: After completing the previous set of data collection, continue to add coal samples with the same ash content to sampling pool 1, test coal slurries of different concentrations under this ash content, observe the changes in the output signal, and collect data after the signal stabilizes.

[0044] Step 7: Gradually increase the coal slurry concentration and conduct continuous experimental observations.

[0045] Step 8: After completing the measurement of coal slurries of various concentrations under one ash content condition, replace coal samples with different ash contents and conduct new measurements.

[0046] Step 9: After completing multiple sets of experiments, calibrate the collected light intensity and pressure difference data using appropriate signal filtering techniques to eliminate any possible interference and ensure the accuracy and stability of the final data.

[0047] Step 10: Apply the processed data to the decision tree ensemble learning regression model based on the bagging principle for multiple regression analysis. The model establishes a mapping relationship between the input variables (including three different powers of transmitted light intensity and a pressure difference) and the output variables (concentration and density). Subsequently, the model is tested and evaluated for significance using variance analysis. If the adjusted regression coefficient is greater than 95% and the predicted regression coefficient is greater than 85%, it indicates that the model accuracy meets the requirements; the actual regression coefficient also meets the standard; if it fails to meet the standard, the model parameters need to be adjusted and retrained and fitted;

[0048] Step 11: Write the fitted multivariate regression model into the controller program to realize online detection of slurry.

[0049] The above description of the disclosed embodiments enables those skilled in the art to implement and use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit and scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest range consistent with the principles and novel features disclosed herein.

Claims

1. A coal slurry concentration detection system based on multi-energy infrared and pressure difference information, characterized in that: It includes a multi-energy infrared detection mechanism, a pressure difference detection mechanism and a data acquisition device; The multi-energy infrared detection mechanism comprises a quartz sampling tube (3), an infrared laser emitter (4) and an infrared semiconductor sensor (5); the quartz sampling tube feed port (6) is connected to the sampling pool (1) via a sampling pump (2), and the quartz sampling tube discharge port (7) is connected to the pressure difference detection mechanism; the infrared laser emitter (4) is a plurality of emitters arranged on the quartz sampling tube (3), and the plurality of infrared laser emitters (4) have different powers; the infrared semiconductor sensor (5) is arranged on the quartz sampling tube (3) and is used to detect the intensity of transmitted infrared light, and is a plurality of emitters arranged corresponding to the multi-energy infrared laser emitters (4); The differential pressure detection mechanism comprises a sampling tube (8), a diaphragm pressure sensor (9) and a differential pressure transmitter (10); the sampling tube feed port (11) is connected to the quartz sampling tube discharge port (7), and the sampling tube discharge port (12) is connected to a waste liquid bucket or a sampling pool (1); the diaphragm pressure sensors (9) are installed at the upper and lower ends of the sampling tube (8), and the two diaphragm pressure sensors (9) are connected to the differential pressure transmitter (10); The data acquisition device comprises a data acquisition card (14), a signal isolator (13) and a computer; the data acquisition card (14) is connected to the infrared semiconductor sensor (5) and the differential pressure transmitter (10) via the signal isolator (13); the data acquisition card (14) is connected to the computer via a data line, and the data collected by the data acquisition card (14) is processed via computer software.

2. The coal slurry concentration detection system based on multi-energy infrared and pressure difference information according to claim 1 is characterized in that: The quartz sampling tube (3) is made of highly infrared-transmittance quartz by bonding, and the quartz sampling tube outlet (7) and the quartz sampling tube inlet (6) are both funnel-shaped and are manufactured by 3D printing.

3. The coal slurry concentration detection system based on multi-energy infrared and pressure difference information according to claim 1 is characterized in that: The infrared laser emitter (4) and the infrared semiconductor sensor (5) are both arranged close to the wall of the quartz sampling tube (3), and the normal phase of the photosensitive element of the infrared semiconductor sensor (5) forms an angle of 180° with the laser path of the infrared laser emitter (4) and are collinear.

4. The coal slurry concentration detection system based on multi-energy infrared and pressure difference information according to claim 1 is characterized in that: The diaphragm pressure sensor (9) is connected to the sampling tube (8) via a three-way threaded hole provided on the sampling tube (8), and its axis direction forms an angle of 45° with the axis direction of the sampling tube (8). The height difference between the two diaphragm pressure sensors (9) is 1 m.

5. A method for detecting coal slurry concentration using the detection system according to claim 1, characterized in that: The following steps are involved: Step 1: assemble a multi-function infrared detection mechanism and a differential pressure detection mechanism, and connect the two mechanisms through a hose to form a closed loop system, so that the coal slurry circulates in the device; the infrared semiconductor sensor (5) and the differential pressure transmitter (10) are connected to the data acquisition card (14) through a signal isolator (13), and the data acquisition card (14) is connected to a computer through a data cable, and all components are powered on and operated; Step 2: After ensuring that the data acquisition card (14) and the computer are successfully connected, detailed parameter settings are performed through the computer software interface, including unit system conversion, signal conversion, sampling rate setting and data storage configuration; after completing the parameter settings, the sealing of the device is tested using a test liquid with a concentration of 0 g / L; Step 3: Prepare coal samples with different ash contents, dry and crush each coal sample, accurately weigh the coal sample to obtain the starting mass; convert the treated coal sample into coal slurry, and measure coal slurry of different concentrations for concentration detection in subsequent experiments; Step 4: using a sampling pump (2) to transport the prepared coal slurry to the equipment to detect the uniformity and continuity of the coal slurry flow and monitor the stability of the output signals of the infrared and differential pressure equipment; Step 5: After the equipment is in stable working condition, start collecting light intensity and pressure difference data. After the data signal is stable, collect data for three minutes. Step 6: After completing the previous set of data collection, continue to add coal samples with the same ash content to the sampling pool (1), test coal slurries of different concentrations under this ash content, observe the changes in the output signal, and collect data after the signal stabilizes; Step 7: gradually increase the coal slurry concentration and conduct continuous experimental observations; Step 8: After completing the measurement of coal slurries of various concentrations under one ash content condition, replace coal samples with different ash contents and conduct new measurements; Step 9: After completing multiple sets of experiments, calibrate the collected light intensity and pressure difference data; Step 10: Apply the processed data to the decision tree ensemble learning regression model based on the bagging principle for multiple regression analysis. The model establishes a mapping relationship between input variables and output variables. Subsequently, variance analysis is used to perform significance testing and evaluation on the model. If the adjusted regression coefficient is greater than 95% and the predicted regression coefficient is greater than 85%, it means that the model accuracy meets the requirements; The actual regression coefficient also meets the standard; if it does not meet the standard, the model parameters need to be adjusted and retrained and fitted; Step 11: Write the fitted multivariate regression model into the controller program to realize online detection of slurry.

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