Air floatation blower control method, device, equipment and medium

Abstract

The application discloses a kind of air float blower control method, device, equipment and medium, applied to industrial control field.A kind of air float blower control device provided in the application, including: air float bearing motor, frequency converter controller, MCU, power conversion module, signal conditioning module, MCU and power conversion module are connected with each other and are connected signal conditioning module, power conversion module is powered for power module;MCU is by obtaining the relevant signal of air float blower that signal conditioning module air float blower is collected, according to the signal received to the state of air float blower and whether air float bearing is fault is judged, to realize the monitoring and failure prediction of air float blower core component, improve the safety of equipment operation, reduce equipment operation and maintenance, realize fast protection, and no longer use PLC, reduce the cost of equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of industrial control, and particularly relates to a kind of air float blower control method, device, equipment and medium. BACKGROUND

[0002] The high-speed permanent magnet direct drive technology using dynamic pressure air float bearing is one of the important development directions of the power system of high-speed centrifugal blower. The air float high-speed centrifugal blower has the advantages of energy saving, high efficiency, no lubricating oil, small installation space, etc., and has gradually replaced the traditional Roots blower in the field of low pressure ratio blower. The air float high-speed centrifugal blower on the market is composed of a programmable logic controller (PLC) main controller, an air float bearing motor and a frequency converter controller. The PLC main controller is used to realize the process control of the flow and pressure of the blower, collect analog signals, receive digital signals and frequency converter fault states. The PLC main controller outputs digital signals according to the received information, such as start, load, stop instructions, frequency converter enable, reset and switch of the emptying valve, etc. The frequency converter controller is connected with the air float bearing high-speed motor, and is used to realize the frequency conversion speed control of the high-speed motor.

[0003] However, neither the PLC main controller nor the frequency converter controller in the current air float high-speed centrifugal blower has any online monitoring and fault prediction function for the core component dynamic pressure air float bearing, which leads to the problem that the equipment maintenance workload is large, the equipment operation safety is reduced, and the PLC main controller cannot perform high-speed data collection and calculation for the air float high-speed motor, cannot realize rapid protection, and the cost of the PLC main controller is high.

[0004] In view of the above-mentioned technology, it is an urgent problem for those skilled in the art to seek an air float blower control method, device, equipment and medium. SUMMARY

[0005] The purpose of the present application is to provide an air float blower control method, device, equipment and medium, which can monitor the core components of the air float blower, predict whether a fault occurs, do not need to disassemble the machine regularly or find out the problem after the bearing is damaged, and do not use PLC anymore, thereby reducing the equipment cost.

[0006] To solve the above-mentioned technical problems, the present application provides an air float blower control device, which comprises: an air float bearing motor, a frequency converter controller, an MCU, a power conversion module and a signal conditioning module. The MCU and the power conversion module are connected with each other and connected with the signal conditioning module.

[0007] The power conversion module is used to supply power to the power consumption module.

[0008] The MCU is configured to acquire the relevant signals of the air-float blower collected by the signal conditioning module, and determine the state of the air-float blower and whether the air-float bearing is faulty according to the relevant signals of the air-float blower.

[0009] Preferably, the inverter is further included.

[0010] The inverter is connected to the MCU, the power conversion module and the signal conditioning module, and is configured to receive the speed command sent by the MCU and drive the high-speed motor to operate according to the speed command.

[0011] Preferably, the MCU is further configured to determine whether the air-float blower is in a normal working state and the air-float bearing is not faulty, and if so, determine the speed command according to the motor speed control curve and transmit the speed command to the inverter in the frequency converter controller, so as to control the inverter to drive the air-float bearing to operate according to the speed command, and if not, enter the fault protection logic and determine the corresponding protection action according to the protection command.

[0012] Preferably, the storage module is further included.

[0013] The storage module is connected to the MCU, the power conversion module and the signal conditioning module, and is configured to store the data information in the operation of the air-float blower, so as to facilitate subsequent maintenance and record data.

[0014] To solve the above technical problems, the application further provides an air-float blower control method applied to an air-float blower, the air-float blower comprising an air-float bearing motor, a frequency converter controller, an MCU, a power conversion module and a signal conditioning module, the MCU and the power conversion module being connected to each other and connected to the signal conditioning module, and the method comprising:

[0015] Acquiring the relevant signals of the air-float blower collected by the signal conditioning module;

[0016] Determining the state of the air-float blower and whether the air-float bearing is faulty according to the relevant signals of the air-float blower.

[0017] Preferably, the relevant signals of the air-float blower comprise the pressure difference in the cabinet, the inlet dynamic pressure difference, the outlet dynamic pressure difference, the inlet temperature, the outlet temperature, the motor speed, the motor current, the bearing vibration and the bearing temperature.

[0018] Preferably, determining the state of the air-float blower and whether the air-float bearing is faulty according to the relevant signals of the air-float blower comprises:

[0019] Determining the pressure ratio and the flow rate according to the pressure difference in the cabinet, the inlet dynamic pressure difference, the outlet dynamic pressure difference, the inlet temperature and the outlet temperature;

[0020] Determining the state of the air-float blower through the pressure ratio and the flow rate;

[0021] determine a vibration signal of a motor rotor in a preset period according to a motor rotating speed;

[0022] perform Fourier transform on the vibration signal to obtain frequency spectrum information of the vibration signal; wherein the vibration signal comprises a vibration acceleration peak signal amplitude and frequency;

[0023] if the motor current, the motor rotating speed, the bearing vibration and the bearing temperature are all within the preset interval, and the number of times that the amplitude corresponding to the frequency in the frequency spectrum information exceeds the preset threshold is greater than the preset value, a gas bearing fault signal is sent.

[0024] Preferably, it further comprises:

[0025] determining whether the gas bearing air blower is in a normal working state and the gas bearing is fault-free;

[0026] if yes, determining a rotating speed instruction according to a motor rotating speed control curve and transmitting the rotating speed instruction to an inverter in a frequency converter controller to control the inverter to drive the high-speed motor to operate according to the rotating speed instruction;

[0027] if no, entering a fault protection logic to determine a corresponding protection action according to a protection instruction.

[0028] To solve the above technical problems, the application further provides a gas bearing air blower control device, comprising a memory for storing a computer program;

[0029] a processor for executing the computer program to realize the steps of the gas bearing air blower control method as described above.

[0030] To solve the above technical problems, the application further provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executed by a processor to realize the steps of the gas bearing air blower control method as described above.

[0031] The gas bearing air blower control device provided by the application comprises a gas bearing motor, a frequency converter controller, an MCU, a power conversion module and a signal conditioning module, the MCU and the power conversion module are connected to each other and are both connected to the signal conditioning module, and the power conversion module supplies power to the power consumption module; the MCU acquires the running signal of the gas bearing air blower collected by the signal conditioning module, judges the state of the gas bearing air blower and whether the gas bearing is faulty according to the received signal, thereby realizing the monitoring and fault prediction of the core components of the gas bearing air blower, ensuring the safety of the equipment operation, and reducing the equipment cost without using PLC.

[0032] The application further provides a gas bearing blower control method applied to a gas bearing blower, the gas bearing blower comprising a gas bearing motor, a frequency converter controller, an MCU, a power conversion module and a signal conditioning module, the MCU and the power conversion module are connected to each other and both are connected to the signal conditioning module, and the power conversion module supplies power to the power consumption module; first, the MCU acquires the relevant signals of the gas bearing blower collected by the signal conditioning module, and judges the state of the gas bearing blower and whether the gas bearing is faulty according to the received signals, so as to realize the monitoring and fault prediction of the core components of the gas bearing blower, guarantee the safety of the equipment operation, and reduce the equipment cost without using PLC.

[0033] The application further provides a gas bearing blower control device and medium, which correspond to the gas bearing blower control method and have the same beneficial effects. BRIEF DESCRIPTION OF DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the application, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0035] Figure 1 The control architecture diagram of the existing gas bearing blower provided for the embodiments of the application is shown in the figure.

[0036] Figure 2 The structure diagram of the gas bearing blower control device provided for the embodiments of the application is shown in the figure.

[0037] Figure 3 The gas bearing blower control method provided for another embodiment of the application is shown in the figure.

[0038] Figure 4 The structure diagram of the gas bearing blower control method provided for another embodiment of the application is shown in the figure.

[0039] Figure 5 The surge and blockage boundary curve diagram provided for another embodiment of the application is shown in the figure.

[0040] Figure 6 The structure diagram of the gas bearing blower control device provided for another embodiment of the application is shown in the figure. DETAILED DESCRIPTION

[0041] With reference to the drawings and embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0042] The existing air floatation blower in the market currently adopts a PLC architecture to realize the on-site process control logic of the blower, outputs a rotating speed instruction to a motor frequency converter controller through industrial serial communication, controls the rotating speed of the motor, and thus realizes the flow and pressure control of the blower. Figure 1 The control architecture diagram of the existing air floatation blower provided by the embodiments of the present application is shown in FIG. 1. Figure 1 As shown in FIG. 1, the PLC main controller 1 is mainly used to realize the flow and pressure process control of the blower, collect analog signals and digital signals, and output corresponding signals. The air floatation bearing motor is a core component of the high-speed motor 4, used to support the rotation of the motor rotor. The frequency converter controller 2 is connected with the air floatation bearing motor, and mainly realizes the frequency speed regulation control of the high-speed motor 4.

[0043] However, the existing air floatation blower in the market currently cannot monitor the core component air floatation bearing on line and make fault prediction, whether the PLC main controller 1 or the frequency converter controller 2, which leads to the problem that the equipment maintenance workload is increased and the safety of the equipment operation is reduced, and in addition, the cost of the PLC controller is high.

[0044] The core of the present application is to provide an air floatation blower, a control method and device, and a medium, cancel the PLC, integrate the main controller of the air floatation blower and the motor frequency converter controller, and at the same time, integrate the function of monitoring the running state of the air floatation bearing on line and making prediction on whether the motor is faulty, so as to improve the safety of the equipment and reduce the cost of the equipment.

[0045] In order for those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0046] Figure 2 The structural diagram of the air floatation blower provided by the embodiments of the present application is shown in FIG. 2. Figure 2 As shown in FIG. 2, the present application provides an air floatation blower, which comprises an air floatation bearing motor, a frequency converter controller 2, a micro control unit 5 (MCU), a power conversion module 6, and a signal conditioning module 7. The MCU 5 and the power conversion module 6 are connected with each other and are both connected with the signal conditioning module 7.

[0047] The power conversion module 6 is used to supply power to the power consumption module.

[0048] The MCU 5 is used to acquire the signals of the air floatation blower collected by the signal conditioning module 7, wherein the signal conditioning module 7 includes a digital quantity conditioning module and an analog quantity conditioning module, the digital quantity conditioning module receives signals representing the states of the air floatation blower and the frequency converter controller 2, the analog quantity conditioning module collects signals representing the environment of the air floatation blower, and the states of the air floatation blower are controlled according to the signals representing the states of the air floatation blower and the frequency converter controller 2 and the signals representing the environment of the air floatation blower, and whether the air floatation bearing is faulty is judged.

[0049] In the specific implementation, the air floatation blower provided in the present application cancels the PLC, and integrates the three functional modules of the main control of the blower, the control of the frequency converter and the state monitoring of the air floatation bearing into one, which is manifested as that the MCU 5 is connected with the power conversion module 6, and the MCU 5 and the power conversion module 6 are both connected with the signal conditioning module 7 and other power consumption modules, and the power conversion module 6 is used to supply power for the MCU 5, the signal conditioning module 7 and other power consumption modules. The signal conditioning module 7 collects the information of the relay 12 and the sensor 13, specifically, the digital quantity conditioning module is connected with the relay 12, and the analog quantity conditioning module is connected with the sensor 13. The air floatation blower provided in the present embodiment collects the signals of the blower flow, pressure, temperature, rotor two-end bearing vibration sensor 13 and relay 12 through the digital quantity conditioning module and the analog quantity conditioning module, wherein the digital quantity conditioning module is used to receive signals representing the states of the air floatation blower and the frequency converter controller 2, such as the air floatation blower emergency stop, start, load, stop buttons, fault state input signals of the frequency converter, output state indication, electromagnetic valve control coil and other switch signals; the analog quantity conditioning module is used to collect signals representing the environment of the air floatation blower, such as the blower inlet temperature, outlet temperature, motor temperature, cabinet internal pressure difference, inlet dynamic pressure difference, outlet dynamic pressure difference, atmospheric pressure, air floatation bearing temperature, vibration acceleration signal and the like.

[0050] After the MCU 5 acquires the signals received and collected by the digital quantity conditioning module and the analog quantity conditioning module, it starts to calculate and evaluate the current running state of the air floatation blower, and performs real-time monitoring and prediction of the fault.

[0051] It should be noted that the digital quantity conditioning module mentioned in the present embodiment is used to receive signals representing the states of the air floatation blower and the frequency converter controller 2, including but not limited to: air floatation blower emergency stop, start, load, stop buttons, fault state input signals of the frequency converter, output state indication, electromagnetic valve control coil and other switch signals; the analog quantity conditioning module mentioned in the present embodiment is used to collect signals representing the environment of the air floatation blower, including but not limited to: blower inlet temperature, outlet temperature, motor temperature, cabinet internal pressure difference, inlet dynamic pressure difference, outlet dynamic pressure difference, atmospheric pressure, air floatation bearing temperature, vibration acceleration signal.

[0052] It can be understood that the air flotation blower provided in the present application includes MCU5. MCU5 is the core component of the air flotation blower proposed in the embodiment of the present application. In addition to the process control and inverter inverter control of the air flotation blower, it also includes: the deployment of the air flotation bearing status and fault prediction algorithm software, which can be a microprocessor (Advanced RISC Machine, ARM) or a digital signal processor (Digital Signal Processor, DSP).

[0053] The present application provides an air flotation blower, comprising: an air flotation bearing motor, an inverter controller 2, an MCU5, a power conversion module 6, and a signal conditioning module 7. The MCU5 and the power conversion module 6 are interconnected and both connected to the signal conditioning module 7. The power conversion module 6 supplies power to the power consumption module. The MCU5 obtains the relevant signals of the air flotation blower collected by the signal conditioning module, and judges the status of the air flotation blower and whether the air flotation bearing is faulty based on the received signals, thereby realizing the monitoring and fault prediction of the core components of the air flotation blower, ensuring the safety of the equipment operation, and no longer using PLC, thereby reducing the equipment cost.

[0054] The air flotation blower provided in the above embodiment eliminates the need for a PLC and utilizes an MCU5 architecture, integrating the three major functions of the blower main controller, inverter control, and air bearing status monitoring. The MCU5 enables monitoring of the air flotation blower's core components and predictive faults, while reducing equipment costs. Based on the above embodiment, as a preferred embodiment, the air flotation blower provided in this embodiment further includes an inverter 8.

[0055] The air flotation blower provided in this embodiment includes an inverter 8, such as Figure 2 As shown, the inverter 8 is connected to the MCU 5, the power conversion module 6, the digital quantity conditioning module 8, and the analog quantity conditioning module 9. The inverter 8 is also connected to the high-speed motor 4, and is used to receive the speed command issued by the MCU 5 and drive the high-speed motor 4 to operate according to the speed command. It can be understood that the inverter 8 is a three-phase two-level inverter 8 that can perform AC / DC / AC frequency conversion and drive the high-speed motor 4 to rotate stably.

[0056] The above embodiment has described the air flotation blower in detail. Based on the above embodiment, as a preferred embodiment, the air flotation blower provided in this embodiment further includes: a storage module 10 .

[0057] like Figure 2As shown, the storage module 10 is connected to the MCU 5, the power conversion module 6, the signal conditioning module 7, the inverter 8 and the communication interface 9, and is used to store data information in the operation of the air floating blower so as to facilitate subsequent fault maintenance and data recording.

[0058] In this embodiment, the storage module 10 is arranged in the multifunctional integrated controller, and is connected to other control modules, so as to store key data in the operation of the air floating blower, and facilitate fault maintenance and data recording.

[0059] The application also provides an air floating blower control method, Figure 3 The application also provides an air floating blower control method, Figure 3 As shown, the air floating blower control method is applied to an air floating blower, and the air floating blower comprises an air floating bearing motor, a frequency converter controller 2, an MCU 5, a power conversion module 6, a signal conditioning module 7, and the MCU 5 and the power conversion module 6 are connected to each other and are both connected to the signal conditioning module 7. The method comprises the following steps:

[0060] S10: acquiring relevant signals of the air floating blower collected by the signal conditioning module.

[0061] The signal conditioning module 7 in this embodiment comprises a digital quantity conditioning module and an analog quantity conditioning module. The digital quantity conditioning module is used to receive signals representing the states of the air floating blower and the frequency converter controller 2. The signals representing the states of the air floating blower and the frequency converter controller 2 mentioned in this step include but are not limited to air blower emergency stop, start, load, stop buttons and fault state input signals of the frequency converter, output state indication, electromagnetic valve control coil and other switch signals.

[0062] It can be understood that the acquiring action in this embodiment can be completed by the MCU 5. The signals representing the states of the air floating blower and the frequency converter controller 2 received by the digital quantity conditioning module can be acquired in real time, that is, after the MCU 5 acquires the signals representing the states of the air floating blower and the frequency converter controller 2 received by the digital quantity conditioning module, the signals are uploaded to the storage module 10 in real time. The signals representing the states of the air floating blower and the frequency converter controller 2 received by the digital quantity conditioning module can be acquired periodically, that is, after the MCU 5 acquires the signals representing the states of the air floating blower and the frequency converter controller 2 received by the digital quantity conditioning module, the signals are uploaded to the storage module 10 periodically.

[0063] In addition, the signal conditioning module 7 in this embodiment also comprises an analog quantity conditioning module. The analog quantity conditioning module is used to collect signals representing the environment of the air floating blower. The signals representing the environment of the air floating blower mentioned in this step include but are not limited to air blower inlet temperature, outlet temperature, motor temperature, cabinet internal pressure difference, inlet dynamic pressure difference, outlet dynamic pressure difference, atmospheric pressure, air floating bearing temperature and vibration acceleration signal.

[0064] It can be understood that the acquisition action in the embodiment can be completed by the MCU 5. The signal collected by the analog quantity conditioning module to represent the environment of the air floatation blower can be acquired in real time, that is, after the MCU 5 acquires the signal collected by the analog quantity conditioning module to represent the environment of the air floatation blower, the signal is uploaded to the storage module 10 in real time. The signal collected by the analog quantity conditioning module to represent the environment of the air floatation blower can be acquired periodically, that is, after the MCU 5 acquires the signal collected by the analog quantity conditioning module to represent the environment of the air floatation blower, the signal is uploaded to the storage module 10 periodically.

[0065] S11: judging the state of the air floatation blower and whether the air floatation bearing is faulty according to the related signals of the air floatation blower.

[0066] In a specific implementation, the MCU 5 first acquires the signals collected by the digital quantity conditioning module and the analog quantity conditioning module to represent the environment of the air floatation blower and the signals representing the state of the air floatation blower and the frequency converter controller 2, including but not limited to the pressure difference in the cabinet, the inlet dynamic pressure difference, the outlet dynamic pressure difference, the inlet temperature, the outlet temperature, the motor current, the motor speed, the bearing vibration, and the bearing temperature. Figure 4 The air floatation blower control method structure diagram provided by another embodiment of the application is shown in FIG. 2. Figure 4 As shown in FIG. 2, steps S20-S28, the running state of the air floatation blower, the bearing state, and whether the air floatation bearing is faulty are detected according to the signals collected.

[0067] It can be understood that the evaluation of the working state of the air floatation blower according to the signals representing the state of the air floatation blower and the frequency converter controller 2 and the signals representing the environment of the air floatation blower includes the evaluation of the surge, blockage, and overspeed state of the air floatation blower.

[0068] At present, the high-speed motor 4 of the air floatation blower mostly used has an electrical signal frequency of 5 kHz or more, and at least 10 kHz or more fast signal data analysis, processing, and protection are required. The existing PLC controller is difficult to perform high-speed data acquisition, calculation, and protection, and the cost of the PLC controller is relatively high. Therefore, the air floatation blower provided by the application cancels the PLC and adopts the MCU 5 control architecture, integrates the main controller of the blower and the motor frequency converter controller, and simultaneously integrates the online detection and fault prediction function of the air floatation bearing running state, thereby greatly improving the integration, intelligence, and safety level of the equipment on the basis of realizing the basic function of the air floatation blower.

[0069] The present application also provides an air flotation blower control method, which is applied to the air flotation blower. The air flotation blower includes: an air flotation bearing motor 3, an inverter controller 2, an MCU5, a power conversion module 6, and a signal conditioning module 7. The MCU5 and the power conversion module 6 are interconnected and both connected to the signal conditioning module 7. The power conversion module 6 supplies power to the power module. First, the MCU5 obtains the relevant signal of the air flotation blower collected by the signal conditioning module, and judges the status of the air flotation blower and whether the air flotation bearing is faulty based on the received signal, thereby realizing the monitoring and fault prediction of the core components of the air flotation blower, ensuring the safety of equipment operation, and no longer using PLC, reducing equipment costs.

[0070] The above embodiment provides a detailed description of the flotation blower control method. Based on the above embodiment, as a preferred embodiment, the relevant information of the flotation blower in this embodiment includes: air pressure difference in the cabinet, inlet dynamic pressure difference, outlet dynamic pressure difference, inlet temperature, outlet temperature, motor speed, motor current, bearing vibration and bearing temperature.

[0071] As a possible implementation method, the status of the air flotation blower and whether the air flotation bearing is faulty is determined based on the signal representing the status of the air flotation blower and the inverter controller 2 and the signal representing the environment in which the air flotation blower is located. Figure 4 Steps S20-S28 include:

[0072] Determine the pressure ratio and flow rate based on the cabinet pressure difference, inlet dynamic pressure difference, outlet dynamic pressure difference, inlet temperature and outlet temperature;

[0073] Determine the status of the flotation blower by pressure ratio and flow rate;

[0074] determining a vibration signal of the motor rotor within a preset period according to the motor speed;

[0075] Performing Fourier transform on the vibration signal to obtain spectrum information of the vibration signal; wherein the vibration signal includes: vibration acceleration peak signal amplitude and frequency;

[0076] If the motor current, motor speed, bearing vibration and bearing temperature are all within the preset range, and the amplitude corresponding to the frequency in the spectrum information exceeds the preset threshold more than the preset value, an air bearing fault signal is issued.

[0077] In the specific implementation, MCU5 calculates the pressure ratio and flow rate q according to the obtained cabinet pressure difference, inlet dynamic pressure difference, outlet dynamic pressure difference, inlet temperature and outlet temperature. m , the pressure ratio is equal to the outlet dynamic pressure difference divided by the inlet dynamic pressure difference, and the flow rate q m The calculation formula is as follows:

[0078]

[0079] Where d is the pipe diameter, ρ a is the upstream density, Δ p is the pressure difference in the cabinet, α is the flow coefficient, ε is the expansion coefficient, T a is the upstream temperature, P a is the upstream pressure difference, P is the standard atmospheric pressure, and T is the ambient temperature inside the cabinet.

[0080] Calculate the flow rate q m After the pressure ratio, the flow rate q m The surge and blockage state curves of the flotation blower are plotted with pressure ratio as the horizontal axis and pressure ratio as the vertical axis. Figure 5 This is a surge and blocking boundary curve diagram provided by another embodiment of the present application; Figure 5 As shown in the figure, the surge and choking boundary curve has surge area, normal working area, choking area and overspeed area. According to the calculated pressure ratio and flow rate q m Confirm in Figure 5 The working area in which the flotation blower is located is used to determine the working status of the flotation blower.

[0081] In addition, the vibration excitation of the air-floating high-speed motor 4 mainly comes from the motor body, the air-floating bearing and the inverter output harmonics. By arranging the bearing vibration acceleration sensor 13 at both ends of the rotor, the MCU5 in the control device calculates the balance of the three-phase current of the motor, the harmonic distribution and estimates the motor operating speed in real time. At the same time, the MCU5 detects the vibration signal in real time and quickly stores and calculates the signal data. In the specific implementation, according to the current operating speed of the motor, the vibration acceleration peak signal amplitude and frequency within a fixed motor rotor frequency period are counted. The time domain vibration signal is Fourier transformed to obtain the vibration signal spectrum information. The Fourier transform is:

[0082]

[0083] If the motor current, motor speed, bearing vibration and bearing temperature are all within the preset range, and the amplitude corresponding to the frequency in the spectrum information exceeds the preset threshold more than the preset value, a high-speed motor 4 fault signal is issued. This requires that when the air bearing motor 3 is operating normally, the peak value of the shaft vibration acceleration at both ends of the rotor and the peak value corresponding to each frequency in the spectrum should not exceed 2.0m / s 2 When the current balance and harmonics of inverter 8 are normal and the speed is within the reasonably designed operating range, when a vibration acceleration peak occurs or the amplitude corresponding to a frequency in the spectrum exceeds the limit threshold, an air bearing fault warning signal is issued according to the probability frequency of occurrence.

[0084] In this embodiment, MCU5 calculates the pressure ratio and flow rate q respectively through the collected signals mAnd the spectrum analysis, into the working state of the air bearing blower and bearing state monitoring, the online monitoring of the air bearing blower and fault prediction are realized, the equipment maintenance workload is reduced, and the equipment operation safety is increased.

[0085] The above embodiment describes in detail the judgment of the state of the air bearing blower and whether the air bearing is faulty according to the signals representing the state of the air bearing blower and the frequency converter controller 2 and the signals representing the environment in which the air bearing blower is located. On the basis of the above embodiment, the present embodiment further comprises steps S29-S32:

[0086] Firstly, it is judged whether the air bearing blower is in a normal working state and the air bearing is not faulty. If yes, the speed command is determined according to the motor speed control curve and transmitted to the inverter 8 in the frequency converter controller 2 to control the inverter 8 to drive the high-speed motor 4 to operate according to the speed command. If no, the fault protection logic is entered, and the corresponding protection action is determined according to the protection command.

[0087] In the specific implementation, the MCU 5 comprehensively analyzes the previous calculation and evaluation, and according to the field flow or pressure control command and the current operating state of the motor, if there is no blockage or surge at present, and the air bearing is normal, such as Figure 3 The MCU 5 calculates the motor speed control curve, generates the speed command, and outputs the driving motor to operate according to the set speed curve by the inverter 8. If the air bearing blower has blockage or surge at present, but the air bearing is normal, the MCU 5 will enter the fault protection logic, and the device will issue a warning or stop protection. If the air bearing blower has no blockage or surge at present, but the air bearing is not normal, the MCU 5 will also enter the fault protection logic, and the device will issue a warning or stop protection.

[0088] The present embodiment judges whether the air bearing blower has a fault, and performs different logic controls according to whether the air bearing blower has a fault. Once the air bearing blower has a fault, it can be found in time.

[0089] In the above embodiment, the air bearing blower control method is described in detail, and the present application also provides an embodiment of an air bearing blower control device. It should be noted that the embodiment of the device part is described from two angles, which is based on the angle of hardware.

[0090] Since the embodiments of the device part correspond to the embodiments of the method part, the embodiments of the device part are described in the description of the embodiments of the method part, which will not be described here.

[0091] Figure 6 The structure diagram of the air bearing blower control device provided by another embodiment of the present application is shown in FIG. 6. Figure 6As shown, the air float blower control device comprises a memory 20 for storing a computer program;

[0092] The processor 21 is configured to implement the steps of the air float blower control method as mentioned in the above embodiments when executing the computer program.

[0093] The air float blower control device provided by the embodiments can include, but is not limited to, a smart phone, a tablet computer, a notebook computer, or a desktop computer, etc.

[0094] The processor 21 can include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 can be implemented in at least one of a hardware form of a Digital Signal Processor (DSP), a Field-Programmable Gate Array (FPGA), a Programmable Logic Array (PLA). The processor 21 can also include a main processor and a coprocessor. The main processor is a processor for processing data in a wake-up state, also known as a Central Processing Unit (CPU). The coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 21 can be integrated with a Graphics Processing Unit (GPU) for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 can further include an Artificial Intelligence (AI) processor for processing machine learning related computing operations.

[0095] The memory 20 can include one or more computer-readable storage media, which can be non-transitory. The memory 20 can further include a high-speed random access memory, and a non-volatile memory such as one or more disk storage devices, flash storage devices. In the embodiments, the memory 20 is at least used to store the following computer program 201, wherein the computer program is loaded and executed by the processor 21, and can implement the related steps of the air float blower control method disclosed in any of the preceding embodiments. In addition, the resources stored in the memory 20 can further include an operating system 202 and data 203, etc., and the storage mode can be temporary storage or permanent storage. The operating system 202 can include Windows, Unix, Linux, etc. The data 203 can include, but is not limited to, data related to the air float blower control method, etc.

[0096] In some embodiments, the air floating blower control device can further include a display screen 22, an input / output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.

[0097] Those skilled in the art can understand that, Figure 6 The structure shown in the figure does not constitute a limitation on the air floating blower control device, and can include more or fewer components than those shown in the figure.

[0098] The air floating blower control device provided by the embodiments of the present application includes a memory and a processor, and the processor can implement the following method when executing a program stored in the memory.

[0099] The MCU 5 first acquires the relevant signals of the air floating blower collected by the signal conditioning module 7, and then judges the state of the air floating blower and whether the air floating bearing is faulty according to the received signals, so as to realize the monitoring and fault prediction of the core components of the air floating blower, guarantee the safety of the equipment operation, and reduce the cost of the equipment without using the PLC.

[0100] Finally, the present application also provides an embodiment corresponding to a computer readable storage medium. The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the steps recorded in the above method embodiment.

[0101] It can be understood that if the method in the above embodiments is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and executes all or part of the steps of the methods described in the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0102] The above describes in detail the air floating blower control method, device, equipment and medium provided by the present application. The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts of each embodiment can be understood by mutual reference. For the device disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple, and the related parts can be understood by referring to the method part. It should be pointed out that for ordinary technical personnel in the technical field, some improvements and modifications can be made to the present application without departing from the principles of the present application, and these improvements and modifications also fall within the protection scope of the claims of the present application.

[0103] It should also be noted that in the present specification, the relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment. Without more limitations, the element defined by the statement "including a" does not exclude the presence of other identical elements in the process, method, article or equipment including the element.

Claims

1. A flotation blower control device, characterized in that: The air flotation blower control device includes: an air flotation bearing motor, a frequency converter controller, an MCU, a power conversion module, and a signal conditioning module. The MCU and the power conversion module are connected to each other and are both connected to the signal conditioning module. The power conversion module is used to supply power to the power consumption module; The MCU is used to obtain the relevant signals of the air flotation blower collected by the signal conditioning module, and judge the state of the air flotation blower and whether the air flotation bearing is faulty according to the relevant signals of the air flotation blower; The relevant signals of the air flotation blower include: air pressure difference in the cabinet, inlet dynamic pressure difference, outlet dynamic pressure difference, inlet temperature, outlet temperature, motor speed, motor current, bearing vibration and bearing temperature; The judging of the state of the air flotation blower and whether the air flotation bearing is faulty according to the relevant signal of the air flotation blower includes: Determine the pressure ratio and flow rate according to the cabinet internal air pressure difference, the inlet dynamic pressure difference, the outlet dynamic pressure difference, the inlet temperature, and the outlet temperature; determining the state of the air flotation blower according to the pressure ratio and the flow rate; Determining a vibration signal of a motor rotor within a preset period according to the motor speed; Performing Fourier transform on the vibration signal to obtain spectrum information of the vibration signal; wherein the vibration signal includes: vibration acceleration peak signal amplitude and frequency; If the motor current, the motor speed, the bearing vibration and the bearing temperature are all within a preset range, and the amplitude corresponding to the frequency in the spectrum information exceeds the preset threshold more than a preset value, the air bearing fault signal is issued.

2. The air flotation blower control device according to claim 1, characterized in that: Also includes: Inverter; The inverter is connected to the MCU, the power conversion module, and the signal conditioning module, and is used to receive a rotation speed instruction issued by the MCU and drive the air bearing motor to operate according to the rotation speed instruction.

3. The air flotation blower control device according to claim 2, characterized in that: The MCU is also used to determine whether the air flotation blower is in normal working condition and the air flotation bearing is fault-free. If so, the speed instruction is determined according to the motor speed control curve and transmitted to the inverter in the frequency converter controller to control the inverter to drive the air flotation bearing to operate according to the speed instruction. If not, the fault protection logic is entered to determine the corresponding protection action according to the protection instruction.

4. The air flotation blower control device according to any one of claims 1 to 3, characterized in that: Also includes: Storage module; The storage module is connected to the MCU, the power conversion module, and the signal conditioning module, and is used to store data information during the operation of the air flotation blower to facilitate subsequent maintenance of faults and record data.

5. A flotation blower control method, characterized in that: Applied to the air flotation blower control device, the air flotation blower control device includes: an air flotation bearing motor, a frequency converter controller, an MCU, a power conversion module, and a signal conditioning module, the MCU and the power conversion module are interconnected and both connected to the signal conditioning module, the method includes: Acquiring relevant signals of the air flotation blower collected by the signal conditioning module; judging the status of the air flotation blower and whether the air flotation bearing is faulty according to the relevant signal of the air flotation blower; The relevant signals of the air flotation blower include: air pressure difference in the cabinet, inlet dynamic pressure difference, outlet dynamic pressure difference, inlet temperature, outlet temperature, motor speed, motor current, bearing vibration and bearing temperature; The judging of the state of the air flotation blower and whether the air flotation bearing is faulty according to the relevant signal of the air flotation blower includes: Determine the pressure ratio and flow rate according to the cabinet internal air pressure difference, the inlet dynamic pressure difference, the outlet dynamic pressure difference, the inlet temperature, and the outlet temperature; determining the state of the air flotation blower according to the pressure ratio and the flow rate; Determining a vibration signal of a motor rotor within a preset period according to the motor speed; Performing Fourier transform on the vibration signal to obtain spectrum information of the vibration signal; wherein the vibration signal includes: vibration acceleration peak signal amplitude and frequency; If the motor current, the motor speed, the bearing vibration and the bearing temperature are all within a preset range, and the amplitude corresponding to the frequency in the spectrum information exceeds the preset threshold more than a preset value, the air bearing fault signal is issued.

6. The air flotation blower control method according to claim 5, characterized in that: Also includes: Determining whether the air flotation blower is in normal working condition and the air flotation bearing is free of faults; If so, a speed command is determined according to the motor speed control curve and transmitted to the inverter in the frequency converter controller, and the inverter is controlled to drive the air bearing motor to operate according to the speed command; If not, the fault protection logic is entered and the corresponding protection action is determined according to the protection instruction.

7. An air flotation blower control device, characterized in that: including a memory for storing a computer program; A processor is configured to implement the steps of the flotation blower control method according to claim 5 or 6 when executing the computer program.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the flotation blower control method according to claim 5 or 6 are implemented.

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