Intelligent direct-drive slurry pump and regulation and control method thereof
By distributing a group of sensors on the direct-drive slurry pump to collect data in real time and building an intelligent sensing system, the problem that the direct-drive slurry pump cannot sense wear in real time is solved, and adaptive life extension control and full life cycle compensation of hydraulic performance are realized.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA UNIV OF MINING & TECH
- Filing Date
- 2026-04-14
- Publication Date
- 2026-05-26
AI Technical Summary
Existing technologies cannot directly measure the operating status data of the rotor system of a direct-drive slurry pump and the amount of impeller wear. They lack real-time perception of the operating status of the direct-drive slurry pump and the transmission system. Impeller wear leads to a decrease in the pump's head and efficiency, making it impossible to achieve performance compensation and adaptive control.
By distributing a group of sensors on the main shaft and impeller to collect data in real time, including torque, power, temperature, fault characteristic frequency, flow rate, pressure, and impeller wear, an intelligent sensing system is constructed. The control system controls the main shaft speed and the opening of the electromagnetic switch valve to achieve adaptive life extension regulation.
It realizes intelligent sensing of the operating status of direct-drive slurry pump and adaptive control of the transmission drive system, dynamically adjusting to the optimal efficiency point, realizing full life cycle compensation of hydraulic performance, and extending the service life of the equipment.
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Figure CN122082999A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of slurry pump technology, specifically to an intelligent direct-drive slurry pump and its control method. Background Technology
[0002] Slurry pumps are specialized centrifugal pumps used to transport solid-liquid mixtures. They are key equipment in industries such as mining and coal washing, playing a crucial role in tailings conveying and coal washing systems. When conveying mixed slurries containing coarse, hard, and angular particles, the impeller experiences severe localized wear, leading to decreased pump performance, increased energy consumption, and intensified vibration, seriously affecting the safe and stable operation of the equipment. While direct-drive slurry pumps can significantly improve transmission efficiency, the wear of the impeller, which is coaxial with the motor, directly impacts the stability of the drive system.
[0003] Chinese patent CN118757411A discloses an intelligent monitoring system and method for identifying wear on the flow parts of a vibrating slurry pump. This system monitors the corrosion and wear degree and imbalance of the pump blades by real-time monitoring of the time-domain waveform of a vibration sensor installed on the pump casing. Chinese patent CN119441716B discloses a big data-based system and method for slurry pump fault detection and lifespan prediction, using slurry pump vibration signals for fault detection and lifespan prediction. Chinese patent CN115045844A discloses a slurry pump with intelligent wear monitoring and alarm, which detects wear information using a monitoring probe.
[0004] However, existing technologies cannot directly measure the operating status data of the rotor system of a direct-drive slurry pump and the amount of impeller wear, and lack real-time perception of the operating status of the direct-drive slurry pump and the transmission system; after impeller wear, the head and efficiency of the direct-drive slurry pump decrease, and it is also impossible to achieve performance compensation and adaptive control after hydraulic performance loss. Summary of the Invention
[0005] To address the aforementioned technical shortcomings, this invention discloses an intelligent direct-drive slurry pump and its control method. By using a group of sensors distributed on the main shaft and impeller to collect data in real time on the direct-drive slurry pump's torque, power, temperature, fault characteristic frequency, flow rate, pressure, and axial and radial wear of the impeller, the pump achieves intelligent sensing of its operating status and the transmission system, thereby enabling adaptive life-extending control of the intelligent direct-drive slurry pump.
[0006] An intelligent direct-drive slurry pump according to the present invention includes a pump body and a permanent magnet direct-drive motor; the pump body includes a pump casing, an impeller, an inlet section, and an outlet section; the permanent magnet direct-drive motor includes a main shaft; the slurry pump also includes a sensor group and a control system; the sensor group includes strain gauges, miniature thermocouples, miniature vibration accelerometers, a sensing diaphragm, an electromagnetic flowmeter, and a pressure sensor; the strain gauges, miniature thermocouples, and miniature vibration accelerometers are mounted on the main shaft, the sensing diaphragm is mounted on the impeller and fixed by high-temperature cured metal filler adhesive, the electromagnetic flowmeter is mounted on the outlet section, and the pressure sensor is mounted on both the inlet and outlet sections; an electromagnetic switching valve is also installed on the inlet section; the control system includes a controller and a data acquisition card, the controller controlling the main shaft speed and the opening degree of the electromagnetic switching valve based on the sensor group data acquired by the data acquisition card.
[0007] Preferably, the permanent magnet direct drive motor further includes a conductive slip ring, a stator core, a rotor core, a permanent magnet, windings, bearings, and a motor housing; the impeller, rotor core, permanent magnet, and windings are fixedly connected to the main shaft to form a transmission and drive unit, the conductive slip ring rotor is fixedly installed at both ends of the main shaft, and the conductive slip ring stator is fixedly installed on the motor housing.
[0008] Preferably, the strain gauge, miniature thermocouple, and miniature vibration accelerometer are provided in two sets, symmetrically installed at both ends of the main shaft.
[0009] Preferably, the main shaft has two sets of sensor mounting holes at the mounting positions of the conductive slip ring at both ends. The two sets of strain gauges, miniature thermocouples, and miniature vibration accelerometers are installed in the two sets of sensor mounting holes and connected to the conductive slip ring rotor through wires. Then, they are connected to the acquisition card through holes on the motor housing after passing through the conductive slip ring stator.
[0010] Preferably, the impeller includes axial measuring blades, radial measuring blades, and fixing holes; the axial measuring blades and radial measuring blades are staggered, the axial measuring blades have multiple axial holes evenly distributed along the blade direction, the radial measuring blades have multiple radial holes evenly distributed along the blade direction, and the sensing diaphragm is installed in the axial holes and radial holes; the fixing holes are connected to the main shaft.
[0011] Preferably, the impeller is further provided with a plurality of third wire mounting holes, one end of which is connected to an axial hole or a radial hole, and the other end is connected to a fixing hole; the main shaft is provided with a set of first wire mounting holes along the circumference at one end near the impeller, and a set of second wire mounting holes is provided along the circumference at the end face, the first wire mounting holes and the second wire mounting holes are connected; the wires connecting the sensing film pass through the third wire mounting holes, the fixing hole, the second wire mounting holes and the first wire mounting holes in sequence and are led out, and are filled and cured with high-temperature curing metal filler adhesive.
[0012] Another control method for the above-mentioned intelligent direct-drive slurry pump disclosed in this invention includes the following steps: S1. Acquire the flow signal collected by the electromagnetic flowmeter. Q Inlet pressure collected by pressure sensor P 1. Export pressure P 2. According to the formula H =( P 2– P 1) / ρg Calculate the real-time head, where, ρ For the density of the slurry, g It is the acceleration due to gravity; S2. Acquire the spindle torque collected by strain gauges and miniature vibration accelerometers. T and angular velocity ω According to the formula η = ρ gQH / Tω Calculate real-time efficiency; S3, Real-time head based on continuous data acquisition H With efficiency η In terms of runtime t Using the least squares method as the independent variable, the head attenuation function is fitted. H ( t )= H 0e αt With efficiency decay function η ( t )= η 0e βt Construct a hydraulic performance degradation characteristic model P ( t )=[ H 0- H ( t ), η 0- η ( t )],in H 0、 η 0 represents the initial head and initial efficiency, respectively. α , β The attenuation coefficient; S4. Acquire the spindle deformation signal from the strain gauge, the temperature distribution signal from the miniature thermocouple, the vibration spectrum signal from the miniature vibration accelerometer, and the wear thickness signal from the sensing film. Fuse the multi-source sensor data and extract the impeller wear feature vector using principal component analysis. W ; S5, using wear feature vector W The current operating parameters and historical operating data are used as inputs, with the remaining service life percentage as the input. RULFor the output, a long short-term memory network is used to construct a prediction model for the remaining service life of the impeller. The model is represented as follows: RUL = f LSTM ( W , Q , ω , t ); S6. In the Fluent flow field simulation platform, establish impeller geometric models corresponding to different wear levels, set boundary conditions to perform flow field simulation, and obtain the flow rate corresponding to the optimal efficiency point under each wear level. Q opt ( W ) and head H opt ( W A dynamic offset model for the optimal efficiency point is constructed, which is represented by a mapping matrix Φ between the degree of wear and the optimal operating condition point:[ Q opt ( W ), H opt ( W )]=Φ( W ); S7. Integrating the hydraulic performance degradation characteristic model, the impeller remaining service life prediction model, and the optimal efficiency point dynamic offset model, a hydraulic performance full life cycle compensation model is constructed. The model is expressed as follows: e Q ( t ) =|Q opt ( W )- Q ( t ) | , H Q ( t ) =| H opt ( W )- H ( t ) | , n ref = an 0 H Q ( t ), S ref= S 0+ be Q ( t ),in e Q ( t This represents the real-time flow deviation.H Q ( t This represents the real-time head deviation. n ref To compensate for the rotational speed, a This is the speed correction factor. S ref To compensate for the opening, b This is the opening correction factor; the compensation model is used to adjust the current wear level. W With remaining lifespan RUL It dynamically outputs the optimal target speed and optimal target opening for the current stage, thereby controlling the spindle speed and the opening of the solenoid valve.
[0013] Compared with the prior art, the advantages of the intelligent direct-drive slurry pump and its control method disclosed in this invention are: This invention utilizes a sensor array distributed across the main shaft and impeller to collect real-time data on the torque, power, temperature, fault characteristic frequency, flow rate, pressure, and axial and radial wear of the impeller in a direct-drive slurry pump. This enables intelligent sensing of the pump's operating status and the drive system. Simultaneously, by integrating the sensed data, the invention controls the main shaft speed and the opening of the solenoid valve. Based on an adaptive robust control algorithm that coordinates speed / flow rate-head / efficiency matching, the real-time operating conditions are dynamically adjusted to the optimal operating point output by the dynamic offset model for the best efficiency point, thereby maximizing the real-time head. H With real-time efficiency η By following the target curve of the hydraulic performance degradation characteristic model throughout the entire life cycle, the hydraulic performance is compensated for throughout the entire life cycle, thereby realizing the adaptive life extension regulation of the intelligent direct-drive slurry pump. Attached Figure Description
[0014] To more clearly illustrate the technical solutions of the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0015] Figure 1 This is a schematic diagram of an intelligent direct-drive slurry pump.
[0016] Figure 2 This is the front view of the impeller.
[0017] Figure 3 This is the left view of the impeller.
[0018] Figure 4 for Figure 3 Enlarged view of section I in the middle.
[0019] Figure 5 This is a schematic diagram of the radial measurement blade structure.
[0020] Figure 6 for Figure 5 Sectional view along the BB direction.
[0021] Figure 7 This is a schematic diagram of the axial measurement blade structure.
[0022] Figure 8 for Figure 7 Sectional view along the CC direction.
[0023] Figure 9 This is a schematic diagram of the main shaft structure.
[0024] Figure 10 for Figure 9 Sectional view along the AA direction.
[0025] Figure 11 This is the control flowchart for the adaptive life extension regulation method.
[0026] In the diagram: 1-Pump body; 11-Impeller; 111-Axial measuring blade; 112-Radial measuring blade; 113-Fixing hole; 114-Third wire mounting hole; 115-Axial hole; 116-Radial hole; 12-Inlet section; 13-Outlet section; 14-Pump casing; 15-Solenoid switch valve; 2-Permanent magnet direct drive motor; 21-Main shaft; 211-Sensor mounting hole; 212-First wire mounting hole; 213-Second wire mounting hole; 22-Conductive slip ring stator; 23-Conductive slip ring rotor; 24-Stator core; 25-Rotor core; 26-Permanent magnet; 27-Winding; 28-Bearing; 29-Motor casing; 3-Control system; 31-Controller; 32-Data acquisition card; 4-Strain gauge; 5-Miniature thermocouple; 6-Miniature vibration accelerometer; 7-Sensing diaphragm; 8-Electromagnetic flowmeter; 9-Pressure sensor. Detailed Implementation
[0027] The specific embodiments of the present invention will be briefly described below with reference to the accompanying drawings. Obviously, the described embodiments are merely some, not all, embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0028] Figures 1-11 A preferred embodiment of the present invention is shown and analyzed in detail.
[0029] like Figure 1 The illustrated intelligent direct-drive slurry pump includes a pump body 1, a permanent magnet direct-drive motor 2, a sensor array, and a control system 3. The pump body 1 includes a pump casing 14, an impeller 11, an inlet section 12, and an outlet section 13.
[0030] The permanent magnet direct drive motor 2 includes a main shaft 21, conductive slip rings, a stator core 24, a rotor core 25, permanent magnets 26, windings 27, bearings 28, and a motor housing 29. The impeller 11, rotor core 25, permanent magnets 26, and windings 27 are fixedly connected to the main shaft 21 to form an integrated transmission and drive system. The conductive slip ring includes a conductive slip ring rotor 23 and a conductive slip ring stator 22. The conductive slip ring rotor 23 is fixedly installed at both ends of the main shaft 21, and the conductive slip ring stator 22 is fixedly installed on the motor housing 29. Two sets of sensor mounting holes 211 are provided at both ends of the main shaft 21 corresponding to the mounting positions of the conductive slip ring rotor 23. Each set of sensor mounting holes 211 consists of three holes evenly distributed along the circumference of the main shaft 21.
[0031] like Figure 9 As shown, the sensor group includes strain gauges 4, miniature thermocouples 5, miniature vibration accelerometers 6, sensing films 7, electromagnetic flowmeters 8, and pressure sensors 9. Strain gauges 4 measure the shear strain of the shaft and directly calculate real-time torque and power. Miniature thermocouples 5 measure the temperature of the motor and main shaft 21, and miniature vibration accelerometers 6 collect vibration data to identify fault characteristic frequencies. Two sets of strain gauges 4, miniature thermocouples 5, and miniature vibration accelerometers 6 are provided and symmetrically installed at both ends of the main shaft 21. The two sets of strain gauges 4, miniature thermocouples 5, and miniature vibration accelerometers 6 are installed in the two sets of sensor mounting holes 211, and are connected to the conductive slip ring rotor 23 through wires, and then connected to the acquisition card 32 through the conductive slip ring stator 22 and the hole on the motor housing 29.
[0032] The sensing diaphragm 7 is mounted on the impeller 11 and fixed with a high-temperature cured metal filler adhesive. After installation, the sensing diaphragm 7 wears synchronously with the impeller 11 to measure the wear of the impeller 11. Figure 2-8 As shown, the impeller 11 includes an axial measuring blade 111, a radial measuring blade 112, and a fixing hole 113, which connects to the main shaft 21. The axial measuring blade 111 and the radial measuring blade 112 are arranged alternately. The axial measuring blade 111 has multiple axial holes 115 evenly distributed along the blade direction, and the radial measuring blade 112 has multiple radial holes 116 evenly distributed along the blade direction. The sensing diaphragm 7 is installed in each axial hole 115 and radial hole 116. The impeller 11 also has third guide wire mounting holes 114. The number of third guide wire mounting holes is the same as the number of blades. One end of each third guide wire mounting hole 114 is connected to an axial hole 115 or a radial hole 116, and the other end is connected to a fixed hole 113. The end of each third guide wire mounting hole 114 connected to the axial hole 115 or radial hole 116 corresponds to multiple branches on the corresponding blade. The ends of the multiple third guide wire mounting holes 114 connected to the fixed hole 113 are evenly distributed circumferentially. Figure 9 and Figure 10As shown, a set of first wire mounting holes 212 are evenly distributed circumferentially at one end of the main shaft 21 near the impeller 11, and a set of second wire mounting holes 213 are evenly distributed circumferentially at the end face. The first wire mounting holes 212 and the second wire mounting holes 213 are connected, and their number is the same as the number of blades. The wires connecting the sensing diaphragm 7 pass through the third wire mounting hole 114, the fixing hole 113, the second wire mounting hole 213, and the first wire mounting hole 212 in sequence before being led out and connected to the conductive slip ring rotor 23 near the impeller 11. Then, they pass through the conductive slip ring stator 22 and through the hole on the motor housing 29 to connect to the data acquisition card 32. After the wires of the sensing diaphragm 7 are installed in the wire mounting holes, they are also filled and cured with high-temperature curing metal filler to prevent slurry from entering the main shaft 21. A sealing device is also installed in the fixing hole 113 to further seal the wires of the sensing diaphragm 7.
[0033] like Figure 1 As shown, the electromagnetic flowmeter 8 is installed at the outlet section 13, and the pressure sensor 9 is installed at both the inlet section 12 and the outlet section 13. Both the electromagnetic flowmeter 8 and the pressure sensor 9 are connected to the data acquisition card 32 via wires. An electromagnetic switch valve 15 is also installed at the inlet section 12, and the electromagnetic switch valve 15 is electrically connected to the controller 31.
[0034] like Figure 1 As shown, the control system 3 includes a controller 31 and a data acquisition card 32 electrically connected to the controller 31. The controller 31 controls the spindle speed 21 and the opening degree of the electromagnetic switch valve 15 according to the sensor group data acquired by the data acquisition card 32.
[0035] During installation, firstly, strain gauge 4, miniature thermocouple 5, and miniature vibration accelerometer 6 are fixedly installed at both ends of the main shaft 21. The main shaft 21 and bearing 28 are fixedly installed inside the motor housing 29. Conductive slip rings are installed on the main shaft 21 and motor housing 29 and connected to strain gauge 4, miniature thermocouple 5, and miniature vibration accelerometer 6 via wires. Then, permanent magnet direct drive motor 2 is fixedly connected to pump housing 14. The sensing diaphragm 7 is fixedly installed with connecting wires in axial hole 115 and radial hole 116. Impeller 11 is then fixedly connected to main shaft 21. The wires connecting sensing diaphragm 7 enter the second wire mounting hole 213 through the third wire mounting hole 114 and connect with the first wire mounting hole 212 via conductive slip rings. Subsequently, inlet section 12 and outlet section 13 are fixedly connected to pump housing 14. Electromagnetic switch valve 15 is installed in inlet section 12, electromagnetic flowmeter 8 is installed in outlet section 13, and pressure sensor 9 is installed in inlet section 12 and outlet section 13. When the slurry pump is working, the sensor group and the conductive slip ring rotor 23 rotate with the main shaft 21, while the conductive slip ring stator 22 is fixed. Data such as torque, power, temperature, fault characteristic frequency, flow rate, pressure, and axial and radial wear of the impeller 11 are transmitted to the control system 3 via wires. When the impeller 11 wears, the sensing diaphragm 7 wears synchronously with the impeller 11 to sense the amount of wear of the impeller 11.
[0036] like Figure 11 As shown, the present invention also discloses a control method applicable to the above-mentioned intelligent direct-drive slurry pump, comprising the following steps: S1. Acquire the flow signal collected by the electromagnetic flowmeter 8. Q The inlet pressure collected by pressure sensor 9 P 1. Export pressure P 2. According to the formula H =( P 2– P 1) / ρg Calculate the real-time head, where, ρ For the density of the slurry, g It is the acceleration due to gravity; S2. Acquire the torque of the main shaft 21 collected by strain gauge 4 and miniature vibration accelerometer 6. T and angular velocity ω According to the formula η = ρgQH / Tω Calculate real-time efficiency; S3, Real-time head based on continuous data acquisition H With efficiency η In terms of runtime t Using the least squares method as the independent variable, the head attenuation function is fitted. H ( t )= H 0e αt With efficiency decay function η ( t )= η 0e βt Construct a hydraulic performance degradation characteristic model P ( t )=[ H 0- H ( t ), η 0- η ( t )],in H 0、 η 0 represents the initial head and initial efficiency, respectively. α , β The attenuation coefficient; S4. Acquire the deformation signal of the main shaft 21 collected by strain gauge 4, the temperature distribution signal collected by miniature thermocouple 5, the vibration spectrum signal collected by miniature vibration accelerometer 6, and the wear thickness signal collected by sensing film 7. Fuse the multi-source sensor data and extract the wear feature vector of impeller 11 using principal component analysis. W ; S5, using wear feature vector WThe current operating parameters and historical operating data are used as inputs, with the remaining service life percentage as the input. RUL For the output, a prediction model for the remaining service life of impeller 11 is constructed using a Long Short-Term Memory (LSTM) network. The model is represented as follows: RUL = f LSTM ( W , Q , ω , t ); S6. In the Fluent flow field simulation platform, establish impeller 11 geometric models corresponding to different wear levels, set boundary conditions to perform flow field simulation, and obtain the flow rate corresponding to the optimal efficiency point under each wear level. Q opt ( W ) and head H opt ( W A dynamic offset model for the optimal efficiency point is constructed, which is represented by a mapping matrix Φ between the degree of wear and the optimal operating condition point:[ Q opt ( W ), H opt ( W )]=Φ( W ); S7, integrating the hydraulic performance degradation characteristic model, the impeller 11 remaining service life prediction model, and the optimal efficiency point dynamic offset model, constructs a hydraulic performance full life cycle compensation model. e Q ( t ) =|Q opt ( W )- Q ( t ) | , H Q ( t ) =|H opt ( W )- H ( t ) | , n ref = an 0 H Q ( t ), S ref= S 0+ be Q ( t ),in e Q (t This represents the real-time flow deviation. H Q ( t This represents the real-time head deviation. n ref To compensate for the rotational speed, n 0 represents the initial rotational speed; a This is the speed correction factor. S ref To compensate for the opening, S 0 represents the initial opening degree. b This is the opening correction factor; the compensation model is used to adjust the current wear level. W With remaining lifespan RUL It dynamically outputs the optimal target speed and optimal target opening for the current stage, thereby controlling the speed of the spindle 21 and the opening of the solenoid valve 15.
[0037] The above description of the disclosed embodiments enables those skilled in the art to make and use the invention. Various modifications to these embodiments will be readily 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 invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. An intelligent direct-drive slurry pump, comprising a pump body (1) and a permanent magnet direct-drive motor (2); the pump body (1) comprising a pump casing (14), an impeller (11), an inlet section (12), and an outlet section (13); the permanent magnet direct-drive motor (2) comprising a main shaft (21); characterized in that, The slurry pump also includes a sensor group and a control system (3); the sensor group includes a strain gauge (4), a miniature thermocouple (5), a miniature vibration accelerometer (6), a sensing film (7), an electromagnetic flowmeter (8), and a pressure sensor (9); the strain gauge (4), the miniature thermocouple (5), and the miniature vibration accelerometer (6) are mounted on the main shaft (21), the sensing film (7) is mounted on the impeller (11) and fixed by high-temperature cured metal filler glue, the electromagnetic flowmeter (8) is mounted on the outlet section (13), and the pressure sensor (9) is mounted on the inlet section (12) and the outlet section (13); an electromagnetic switch valve (15) is also mounted on the inlet section (12); the control system (3) includes a controller (31) and a data acquisition card (32), the controller (31) controls the rotation speed of the main shaft (21) and the opening degree of the electromagnetic switch valve (15) according to the sensor group data collected by the data acquisition card (32).
2. The intelligent direct-drive slurry pump according to claim 1, characterized in that, The permanent magnet direct drive motor (2) also includes a conductive slip ring, a stator core (24), a rotor core (25), a permanent magnet (26), a winding (27), a bearing (28), and a motor housing (29); the impeller (11), rotor core (25), permanent magnet (26), winding (27) are fixedly connected to the main shaft (21) to form a transmission and drive unit, the conductive slip ring rotor (23) is fixedly installed at both ends of the main shaft (21), and the conductive slip ring stator (22) is fixedly installed on the motor housing (29).
3. The intelligent direct-drive slurry pump according to claim 2, characterized in that, Two sets of strain gauges (4), miniature thermocouples (5), and miniature vibration accelerometers (6) are provided and symmetrically installed at both ends of the main shaft (21).
4. The intelligent direct-drive slurry pump according to claim 3, characterized in that, The main shaft (21) has two sets of sensor mounting holes (211) at the two ends corresponding to the installation positions of the conductive slip ring. The two sets of strain gauges (4), miniature thermocouples (5), and miniature vibration accelerometers (6) are installed in the two sets of sensor mounting holes (211) and connected to the conductive slip ring rotor (23) through wires. Then, they are connected to the acquisition card (32) through the holes on the motor housing (29) via the conductive slip ring stator (22).
5. The intelligent direct-drive slurry pump according to claim 1, characterized in that, The impeller (11) includes an axial measuring blade (111), a radial measuring blade (112), and a fixing hole (113); the axial measuring blade (111) and the radial measuring blade (112) are arranged alternately, and a plurality of axial holes (115) are evenly distributed along the blade direction on the axial measuring blade (111), and a plurality of radial holes (116) are evenly distributed along the blade direction on the radial measuring blade (112). The sensing film (7) is installed in the axial holes (115) and the radial holes (116); the fixing hole (113) is connected to the main shaft (21).
6. The intelligent direct-drive slurry pump according to claim 5, characterized in that, The impeller (11) is also provided with a plurality of third wire mounting holes (114). One end of the third wire mounting hole (114) is connected to the axial hole (115) or the radial hole (116), and the other end is connected to the fixing hole (113). The main shaft (21) is provided with a set of first wire mounting holes (212) along the circumferential direction at one end near the impeller (11), and a set of second wire mounting holes (213) is provided along the circumferential direction on the end face. The first wire mounting holes (212) and the second wire mounting holes (213) are connected. The wires connecting the sensing film (7) are led out after passing through the third wire mounting hole (114), the fixing hole (113), the second wire mounting hole (213), and the first wire mounting hole (212) in sequence, and are filled and cured with high-temperature curing metal filler.
7. A control method applicable to the intelligent direct-drive slurry pump according to claim 1, characterized in that, Includes the following steps: S1. Obtain the flow signal collected by the electromagnetic flowmeter (8) Q The inlet pressure collected by the pressure sensor (9) P 1. Export pressure P 2. According to the formula H =( P 2– P 1) / ρg Calculate the real-time head, where, ρ For the density of the slurry, g It is the acceleration due to gravity; S2. Obtain the torque of the spindle (21) collected by the strain gauge (4) and the micro vibration accelerometer (6). T and angular velocity ω According to the formula η = ρgQH / Tω Calculate real-time efficiency; S3, Real-time head based on continuous data acquisition H With efficiency η In terms of runtime t Using the least squares method as the independent variable, the head attenuation function is fitted. H ( t )= H 0e αt With efficiency decay function η ( t )= η 0e βt Construct a hydraulic performance degradation characteristic model P ( t )=[ H 0- H ( t ), η 0- η ( t )],in H 0、 η 0 represents the initial head and initial efficiency, respectively. α , β The attenuation coefficient; S4. Obtain the deformation signal of the main shaft (21) collected by the strain gauge (4), the temperature distribution signal collected by the micro thermocouple (5), the vibration spectrum signal collected by the micro vibration accelerometer (6), and the wear thickness signal collected by the sensing film (7). Combine the multi-source sensing data and extract the wear feature vector of the impeller (11) by principal component analysis. W ; S5, using wear feature vector W The current operating parameters and historical operating data are used as inputs, with the remaining service life percentage as the input. RUL For the output, a prediction model for the remaining service life of the impeller (11) is constructed using a long short-term memory network. The model is represented as follows: RUL = f LSTM ( W , Q , ω , t ); S6. In the Fluent flow field simulation platform, establish the impeller (11) geometric model corresponding to different wear levels, set boundary conditions to perform flow field simulation, and obtain the flow rate corresponding to the optimal efficiency point under each wear level. Q opt ( W ) and head H opt ( W A dynamic offset model for the optimal efficiency point is constructed, which is represented by a mapping matrix Φ between the degree of wear and the optimal operating condition. Q opt ( W ), H opt ( W )]=Φ( W ); S7. By integrating the hydraulic performance attenuation characteristic model, the impeller (11) remaining service life prediction model, and the optimal efficiency point dynamic offset model, a hydraulic performance full life cycle compensation model is constructed. The model is expressed as follows: e Q ( t ) =|Q opt ( W )- Q ( t ) | , H Q ( t ) =| H opt ( W )- H ( t ) | , n ref = an 0 H Q ( t ), S ref= S 0+ be Q ( t ),in e Q ( t This represents the real-time flow deviation. H Q ( t This represents the real-time head deviation. n ref To compensate for the rotational speed, a This is the speed correction factor. S ref To compensate for the opening, b This is the opening correction factor; the compensation model is used to adjust the current wear level. W With remaining lifespan RUL The optimal target speed and optimal target opening are dynamically output for the current stage, thereby controlling the speed of the spindle (21) and the opening of the electromagnetic switch valve (15).
Citation Information
Patent Citations
Slurry pump with intelligent wear monitoring and alarming functions
CN115045844A
Identification system for intelligently monitoring abrasion of overflowing part of vibrating slurry pump and implementation method
CN118757411A
A slurry pump fault detection and life prediction system and method based on big data
CN119441716B