Operating mode self-adaptive switching method and device of magnetic suspension air blower

Abstract

The invention discloses an operation mode self-adaptive switching method and device of a magnetic suspension air blower, and aims to solve the problems of working condition deviation and the like caused by the fact that manual switching cannot respond to external variables in real time. According to the method, parameters such as exhaust pressure and flow are collected in real time through a sensor, and standard-condition flow is obtained through temperature and air pressure compensation; fitting a surge boundary curve based on historical data to determine an initial threshold value, and dynamically correcting in combination with real-time parameters; the speed mode and the flow mode are automatically switched according to the threshold value, the rotating speed is adjusted at the preset speed during switching, parameter stability is maintained through PID control, and interference resistance is achieved in cooperation with sensor redundancy check. The device comprises a variable acquisition module, a data processing module, an automatic switching module, a stable adjustment module and an anti-interference module to realize the functions. According to the scheme, mode real-time self-adaptive adjustment is achieved, the equipment operation efficiency and stability are improved, and energy consumption and surge risks are reduced.

Description

Technical Field

[0001] This invention relates to the field of magnetic levitation blower technology, and in particular to a method and apparatus for adaptive switching of the operating mode of a magnetic levitation blower. Background Technology

[0002] The magnetic levitation blower utilizes an active magnetic levitation bearing system, which uses controllable electromagnetic force to levitate and support the internally rotating magnetic levitation bearing without contact or wear. The magnetic levitation bearing is directly connected to the impeller, resulting in zero transmission loss. This achieves the effect of successfully transporting gas while minimizing internal wear, reducing noise, and eliminating the need for lubrication.

[0003] To adapt to different working conditions and scenarios, existing magnetic levitation blowers have multiple operating modes. The operating mode is adjusted according to the usage scenario and equipment conditions to ensure that the blower is in the best working state.

[0004] However, the operating modes of existing magnetic levitation blowers are all manually switched and adjusted by users in advance according to the site conditions and usage scenarios. They cannot be adjusted in real time according to variables, and thus are affected by external load changes, air network fluctuations or environmental factors. This can cause the equipment to deviate from the optimal working conditions in the working chamber, resulting in decreased equipment efficiency, increased energy consumption, and even risks such as surge due to mismatched working conditions. Summary of the Invention

[0005] The purpose of this application is to propose an adaptive switching method and device for the operation mode of a magnetic levitation blower, so as to solve the technical problems of operating condition deviation, efficiency reduction, energy consumption increase and surge risk caused by the inability to adjust the operation mode in time when manual switching is used.

[0006] The technical solution of the present invention is as follows: An adaptive switching method for the operation mode of a magnetic levitation blower includes the following steps: S100: When the blower is running, variable parameters are collected in real time through a dual-sensor module. The variable parameters include exhaust pressure, gas flow rate, motor speed, intake air temperature, ambient air pressure, and pressure or flow rate change rate reflecting external load or gas network fluctuations. The gas flow rate is compensated for by temperature and pressure based on the ideal gas state equation to obtain the standard flow rate. The dual-sensor module includes a main sensor group and a backup sensor group. The main sensor group and the backup sensor group redundantly collect key parameters and verify their consistency. When the consistency verification between the main sensor group and the backup sensor group is ≤3%, the allowable deviation is ≤3%. When the deviation exceeds the limit for 3 consecutive times, it is determined that the current sensor has failed due to environmental interference. The backup sensor is automatically switched, the fluctuation data is recorded, and an alarm is triggered to ensure the reliability of the response to external variables. S200: Based on historical operating data of the blower within a preset time period, a fitting algorithm is used to generate a surge boundary curve and determine the initial safe pressure threshold and flow threshold; and the safe pressure threshold and flow threshold are dynamically corrected according to the pressure or flow rate change and the ambient air pressure to adapt to external load, gas network fluctuations or environmental changes. S300: When the operating mode is speed mode, if the exhaust pressure is higher than the safety pressure threshold, the standard flow rate is lower than the flow rate threshold, and the pressure rise and flow rate fall trend continues for more than the set time, it will automatically switch to flow mode. When the operating mode is flow mode, if the exhaust pressure is within the set tolerance of the safe pressure threshold and the motor speed is within the set tolerance of the constant speed threshold, and this state is stable for a set time, it will automatically switch back to speed mode.

[0007] In one possible implementation, when switching modes, the motor speed is adjusted at a preset maximum rate, and the target parameter is kept stable through closed-loop PID control to avoid deviation of the operating condition caused by fluctuations in external variables.

[0008] In one possible implementation, the variable parameters in step S100 also include motor current or power reflecting changes in external load; gas network fluctuations are identified by the instantaneous fluctuation of exhaust pressure.

[0009] In one possible implementation, the temperature and pressure compensation specifically involves converting the actual gas flow rate into the standard flow rate under standard conditions, thereby eliminating the influence of inlet temperature and ambient pressure on flow rate measurement.

[0010] In one possible implementation, the rule for dynamically correcting the threshold in step S200 includes: When the pressure change rate caused by gas network fluctuations is greater than 5% / min, the dynamic safety pressure threshold is reduced by 0.5 kPa for every 1% increase in the pressure change rate. When changes in ambient temperature cause a deviation of more than 3% in the standard flow rate, the flow rate threshold is adjusted synchronously.

[0011] In one possible implementation, the set time in step S300 is 3-5 seconds, which is used to filter out instantaneous fluctuations in external load or gas network and avoid accidental switching.

[0012] In one possible implementation, the preset maximum rate of step S400 is ≤0.5Hz / s; the PID control objective is to maintain a constant standard flow rate in flow mode and a constant motor speed in speed mode to counteract external variable disturbances.

[0013] In one possible implementation, when the consistency verification tolerance between the main sensor group and the backup sensor group is ≤3%, and the deviation exceeds the limit three times consecutively, it is determined that the current sensor has failed due to environmental interference, and the backup sensor is automatically switched and the fluctuation data is recorded.

[0014] On the other hand, embodiments of the present invention also provide an adaptive switching device for the operation mode of a magnetic levitation blower, comprising: Variable acquisition module: Configured with sensor modules to collect real-time data on exhaust pressure, flow rate, speed, temperature, and air pressure of the blower during operation, as well as the rate of change of pressure or flow rate reflecting external load and air network fluctuations; Data processing module: Stores historical operating data and surge boundary fitting algorithm, and can dynamically correct safety pressure threshold and flow threshold based on real-time data collected by variable acquisition module; Automatic switching module: Based on the dynamic safety pressure threshold, flow threshold and real-time parameters of the variable acquisition module output by the data processing module, it automatically determines the mode switching requirements and outputs instructions; Stable adjustment module: Receives switching command and adjusts motor speed at a rate of ≤0.5Hz / s. It maintains the target parameter stability of the corresponding mode through closed-loop PID control. The target parameter in speed mode is constant motor speed, and the target parameter in flow mode is constant standard flow. Anti-interference module: Performs sensor redundancy verification, fluctuation data filtering, and fault alarm to ensure reliable response to external variables.

[0015] Compared with the prior art, the embodiments of this application have the following main advantages: This application discloses an adaptive switching method for the operating mode of a magnetic levitation blower. It collects parameters such as exhaust pressure, flow rate, speed, temperature, air pressure, and the rate of change reflecting external load and air network fluctuations in real time. Standard flow rate is obtained after temperature and pressure compensation. An initial threshold is determined by fitting a surge boundary curve based on historical data, and the threshold is dynamically corrected using real-time parameters to achieve automatic switching between speed and flow modes. During switching, the speed is adjusted at a preset rate, and the target parameters are kept stable through PID control, while sensor redundancy verification is employed. This method solves the problem in existing technologies where manual switching cannot respond in real time to changes in external load, air network fluctuations, or environmental influences. It avoids efficiency reduction, increased energy consumption, and surge risks caused by deviations in operating conditions, achieving real-time adaptive adjustment of the operating mode and improving the operating efficiency and stability of the equipment under complex operating conditions.

[0016] This application discloses an adaptive switching device for the operating mode of a magnetic levitation blower. It employs a variable acquisition module to collect multi-dimensional parameters in real time, a data processing module to dynamically correct thresholds, an automatic switching module to output switching commands, a smooth adjustment module to achieve stable speed regulation and parameter control, and an anti-interference module to ensure data reliability. This device solves the problems of existing equipment lacking hardware support for automatic response to external variables and relying on manual operation. It provides a hardware platform for the implementation of the method, ensuring the coordinated realization of parameter acquisition, threshold correction, mode switching, smooth adjustment, and anti-interference, thereby improving the reliability and adaptability of equipment operation and ensuring it is always in optimal working condition. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in 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 based on the structures shown in these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram illustrating the application environment of the adaptive switching method for operating modes in one embodiment of the present invention; Figure 2 This is a flowchart illustrating an adaptive switching method for operating modes in one embodiment of the present invention. Figure 3 This is a block diagram of an adaptive switching device for operating modes in one embodiment of the present invention; Figure 4 This is a schematic diagram of a computer device structure according to one embodiment of the present invention; The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0020] This embodiment proposes an adaptive switching method for the operation mode of a magnetic levitation blower, which can be applied to applications such as... Figure 1 The application environment shown includes a controller and a magnetic levitation blower. The controller is communicatively connected to the magnetic levitation blower and can control the magnetic levitation blower. Specifically, the controller can be a processor, while the magnetic levitation blower includes a frequency converter and a motor connected to the frequency converter. The controller controls and adjusts the motor speed through communication with the frequency converter.

[0021] Specifically, such as Figure 2 As shown, an adaptive switching method for the operation mode of a magnetic levitation blower includes the following steps: S100: When the blower is running, variable parameters are collected in real time through the sensor module. The variable parameters include dynamic parameters such as exhaust pressure, gas flow rate, motor speed, intake air temperature, ambient air pressure, pressure or flow rate change rate reflecting external load or gas network fluctuations, motor current, and instantaneous fluctuation of exhaust pressure. The gas flow rate is compensated for by temperature and pressure based on the ideal gas state equation to obtain the standard flow rate. Because gases exhibit significant thermal expansion and contraction and pressure sensitivity, the controller compensates for the actual flow rate based on the ideal gas law, converting it to standard conditions—specifically, the standard flow rate at 20°C and standard atmospheric pressure—using the formula:

[0022] in, Here, T represents the actual gas flow rate, T represents the inlet temperature (used to reflect environmental changes), and P represents the exhaust pressure (used to reflect gas network fluctuations). The standard temperature is 20℃. Standard atmospheric pressure This is the standard flow rate.

[0023] By using the above methods, the interference of environmental factors on flow measurement can be eliminated, ensuring that the data reflects the true gas delivery volume.

[0024] S200: Based on historical operating data of the blower within a preset time period, a fitting algorithm is used to generate a surge boundary curve and determine the initial safe pressure threshold and flow threshold; and the safe pressure threshold and flow threshold are dynamically corrected according to the pressure or flow rate change and the ambient air pressure to adapt to external load, gas network fluctuations or environmental changes. Specifically, in this embodiment, the preset time is set to 30 days. First, historical data from the device's normal operation over the past 30 days is retrieved. The controller uses the least squares method to fit the "critical safety point" to generate a surge boundary curve, determining the initial safe pressure threshold, initial flow rate threshold, and constant speed threshold. Subsequently, the controller dynamically adjusts these thresholds based on real-time parameters. When gas network fluctuations cause a pressure change rate >5% / min, the safety pressure threshold is adjusted by "reducing by 0.5kPa for every 1% increase". If the instantaneous pressure is ≥5% of the rated pressure, the safety pressure threshold is temporarily reduced by 5% to resist the impact. When the ambient temperature deviates from 20℃±10℃, the flow threshold is corrected by ±3%. When the gas pressure is <91.325kPa, the flow threshold is reduced by 2% for every 10kPa decrease. When the motor current exceeds the rated value by 110%, the constant speed of the motor is temporarily reduced by 3%. When it is below 70%, the flow threshold is increased by 5%. Through this dynamic adaptation, the threshold is always matched with the current operating conditions to avoid misjudgment caused by fixed thresholds.

[0025] S300: When the operating mode is speed mode, if the exhaust pressure is higher than the safety pressure threshold, the standard flow rate is lower than the flow rate threshold, and the pressure rise and flow rate fall trend continues for more than the set time, it will automatically switch to flow mode. When the operating mode is flow mode, if the exhaust pressure is within the set tolerance of the safe pressure threshold and the motor speed is within the set tolerance of the constant speed threshold, and this state is stable for a set time, it will automatically switch back to speed mode.

[0026] Specifically, the speed mode aims for a constant rotational speed and is suitable for stable gas network scenarios; the flow mode aims for a constant standard flow rate and is suitable for scenarios with large gas network fluctuations.

[0027] When in speed mode, the controller continuously monitors parameters. If the exhaust pressure is greater than the dynamic safety pressure threshold, the standard flow rate is less than the dynamic flow rate threshold, and the pressure rise and flow rate fall trend last for 3-5 seconds, it is determined that it needs to switch to flow mode. When in flow mode, if the exhaust pressure is within ±2% tolerance, the motor speed is within ±1% tolerance, and the state remains stable for 3-5 seconds, then switch back to speed mode. This logic based on dual verification ensures that the mode always adapts to the working conditions.

[0028] Furthermore, during mode switching, the motor speed is adjusted at a preset maximum rate, and the target parameters are kept stable through closed-loop PID control to avoid deviations in operating conditions caused by fluctuations in external variables.

[0029] Specifically, during mode switching, the controller adjusts the motor speed at a rate of ≤0.5Hz / s and maintains stability through PID closed-loop control: in speed mode, the inverter frequency is adjusted to keep the speed deviation ≤±50rpm with constant speed as the target; in flow mode, the speed is adjusted to keep the flow deviation ≤±1m³ / min with standard flow as the target, and the PID parameters are automatically optimized based on the overshoot of the previous 3 switching, thereby reducing the current fluctuation from 180% of the rated value to within 110% to avoid impact.

[0030] Furthermore, in step S100, the sensor module is configured with two groups, namely a main sensor group and a backup sensor group. The main sensor group and the backup sensor group redundantly collect key parameters and verify their consistency. If the data deviation exceeds the allowable range, the backup sensor group is automatically switched or an alarm is triggered to ensure the reliability of the response to external variables.

[0031] Specifically, to improve reliability, the system employs redundant verification of the main sensor group and the backup sensor group. When the data deviation is ≤3%, it is considered valid. If the deviation exceeds the limit three times in a row, it automatically switches to the backup sensor and records the fault parameters. At the same time, it eliminates high-frequency noise through 5-point moving average filtering, and does not participate in the judgment of fluctuating data with a duration of <3 seconds. Combined with audible and visual alarms, 4G remote push, and the design of automatically switching to manual emergency mode when five consecutive switching failures occur, the fault misjudgment rate is reduced from 15% to below 2%, and the continuous stable operation time is extended to more than 8,000 hours.

[0032] Through the above scheme, the adaptive switching method of the magnetic levitation blower operation mode collects parameters such as exhaust pressure, flow rate, and speed in real time through the sensor module. Based on the ideal gas law, the actual flow rate is converted into the standard flow rate under standard conditions, eliminating the interference of ambient temperature and air pressure on the measurement and ensuring that the data reflects the true gas delivery volume. Then, the surge boundary curve is fitted with the equipment's historical data of the past 30 days to determine the initial threshold. Combined with the real-time pressure / flow rate of change and environmental parameters, the threshold is dynamically corrected so that the threshold can be adapted in real time to external load, gas network fluctuations and environmental changes. Automatic mode switching is achieved through dual condition judgment.

[0033] Specifically, in speed mode, if the exhaust pressure exceeds the threshold and the standard flow rate is lower than the threshold and the trend continues for 3-5 seconds, switch to flow mode; in flow mode, if the parameters return to the threshold tolerance and the state is stable, switch back to speed mode, and adjust the speed at a rate of ≤0.5Hz / s. Maintain the stability of the target parameters through PID control, and improve reliability by combining redundancy verification of main and backup sensors and data filtering.

[0034] This solution addresses the issues of traditional manual switching failing to respond in real time to external variables, leading to operating condition deviations, reduced efficiency, increased energy consumption, and surge risks. It enables real-time adaptive adjustment of modes, reducing energy consumption by 10%-15%, decreasing surge accidents by 90%, lowering the fault misjudgment rate to below 2%, and extending the continuous stable operation time of equipment to over 8000 hours, significantly improving stability and economy under complex operating conditions.

[0035] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware through computer-readable instructions. These computer-readable instructions can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. The aforementioned storage medium can be a non-volatile storage medium such as a magnetic disk, optical disk, or read-only memory (ROM), or random access memory (RAM).

[0036] like Figure 1 , 3 As shown in the figure, the adaptive switching device for the operation mode of a magnetic levitation blower described in this embodiment includes: Variable acquisition module: Configured with sensor modules to collect real-time data on exhaust pressure, flow rate, speed, temperature, and air pressure of the blower during operation, as well as the rate of change of pressure or flow rate reflecting external load and air network fluctuations; The variable acquisition module employs a sensor group, configured with primary and backup dual sensor groups for redundant acquisition. The primary sensor group and the backup sensor group have identical compositions, specifically including: Exhaust pressure sensor: It adopts a diffused silicon pressure transmitter with a range of 0-200kPa and an accuracy of ±0.2%FS. It is installed at the exhaust port of the blower to collect the exhaust pressure value in real time. Gas flow sensor: An insertion ultrasonic flow meter is selected, with a range of 0-100 m³ / min and an accuracy of ±1%FS. It is installed in the inlet pipe and is used to measure the actual gas volume flow rate. Motor speed sensor: It adopts a Hall effect speed probe, is adapted to the motor output shaft, has a measurement range of 1-50000rpm, a resolution of 1rpm, and provides real-time feedback on the current motor speed; Intake air temperature sensor: Pt100 platinum resistance thermometer, measuring range -40~120℃, accuracy ±0.5℃, installed on the outer wall of the intake pipe to collect intake air temperature; Ambient air pressure sensor: A MEMS air pressure sensor is selected, with a range of 80-110kPa and an accuracy of ±1hPa. It is installed in the non-heat dissipation area of ​​the blower body to monitor the ambient atmospheric pressure. Motor current sensor: A Hall current sensor is used, with a range of 0-50A and an accuracy of ±0.5%FS. It is connected in series in the motor power supply circuit to collect the motor operating current. Pressure / flow rate change calculation submodule: Calculates the pressure change rate and flow rate change rate by continuously sampling real-time data from pressure sensors and flow sensors; Exhaust pressure instantaneous fluctuation monitoring submodule: compares the current exhaust pressure with the average value of the previous 3 samples in real time to calculate the instantaneous fluctuation.

[0037] Data processing module: Stores historical operating data and surge boundary fitting algorithm, and can dynamically correct safety pressure threshold and flow threshold based on real-time data collected by variable acquisition module; Automatic switching module: Based on the dynamic safety pressure threshold, flow threshold and real-time parameters of the variable acquisition module output by the data processing module, it automatically determines the mode switching requirements and outputs instructions; Stable adjustment module: Receives switching command and adjusts motor speed at a rate of ≤0.5Hz / s. It maintains the target parameter stability of the corresponding mode through closed-loop PID control. The target parameter in speed mode is constant motor speed, and the target parameter in flow mode is constant standard flow. Anti-interference module: Performs sensor redundancy verification, fluctuation data filtering, and fault alarm to ensure reliable response to external variables.

[0038] Specifically, after the magnetic levitation blower starts, the adaptive operation mode switching system works in coordination according to the following process to achieve real-time response to external variables and adaptive mode adjustment: During system initialization, the main and backup sensor groups of the variable acquisition module start synchronously. Using devices such as an exhaust pressure sensor, ultrasonic flow meter, and Hall effect speed probe, parameters such as exhaust pressure, actual gas flow rate, motor speed, intake air temperature, ambient air pressure, and motor current are collected at a frequency of 100ms / time. Simultaneously, the pressure change rate, flow rate change rate, and instantaneous fluctuation of exhaust pressure are calculated. This raw data is transmitted to the data processing module via an RS485 bus. The anti-interference module synchronously acquires dual-channel data from the main and backup sensors, performs consistency verification (deviation ≤3% is valid), and eliminates high-frequency noise through a 5-point moving average filter, filtering out instantaneous fluctuation data with a duration <3 seconds.

[0039] After receiving valid data, the data processing module first converts the actual gas flow rate into standard condition flow rate (20℃, standard atmospheric pressure) based on the ideal gas law, eliminating the interference of ambient temperature and pressure on flow measurement. Then, it retrieves stored historical operating data from the past 30 days and uses the least squares method to fit the surge boundary curve, generating initial safe pressure threshold, initial flow threshold, and constant speed threshold. Simultaneously, the module dynamically corrects the thresholds based on real-time parameters: if gas network fluctuations cause a pressure change rate >5% / min, the safe pressure threshold is adjusted by decreasing it by 0.5 kPa for every 1% increase; when the ambient temperature deviates from 20℃±10℃, the flow threshold is corrected by ±3%; when the motor current exceeds the rated value by 110%, the constant speed threshold is temporarily lowered by 3%, ensuring that the thresholds adapt in real-time to external load, gas network fluctuations, and environmental changes.

[0040] The automatic switching module receives the dynamic threshold output from the data processing module and the real-time parameters from the variable acquisition module. The initial mode judgment is as follows: If the device is currently in speed mode (targeting constant speed), the module continuously monitors whether the exhaust pressure is higher than the dynamic safety pressure threshold and whether the standard flow rate is lower than the dynamic flow rate threshold, and whether the pressure rise and flow rate fall trends are stable and sustained for 3-5 seconds. If these conditions are met, a "switch to flow mode" command is generated. If the device is in flow mode (targeting constant standard flow rate), it determines whether the exhaust pressure is within ±2% of the dynamic safety pressure threshold and whether the motor speed is within ±1% of the constant speed threshold, and whether these conditions are stable and sustained for 3-5 seconds. If these conditions are met, a "switch back to speed mode" command is generated.

[0041] After receiving the switching command, the smooth adjustment module sends a speed adjustment signal (4-20mA analog signal corresponding to the target speed) to the frequency converter via the RS485 bus, and controls the adjustment rate to ≤0.5Hz / s to avoid current surges. Simultaneously, closed-loop PID control is initiated: in speed mode, a constant speed is targeted (feedback from a Hall effect speed probe, deviation ≤±50rpm); in flow mode, a constant standard flow rate is targeted (feedback from an ultrasonic flow meter, deviation ≤±1m³ / min), and the PID parameters are automatically optimized based on the overshoot from the previous three switching operations. The frequency converter drives the permanent magnet synchronous motor via a three-phase power cable, changing the speed according to the adjustment command to achieve a smooth mode transition.

[0042] During operation, the anti-interference module works continuously: if the data from the main and backup sensors deviate by more than 3% for three consecutive times, it automatically switches to the backup sensor and records the fault parameters; if the frequency converter reports a fault or five consecutive switching failures occur, it triggers an audible and visual alarm and pushes a fault code through the 4G module. At the same time, the system switches to manual emergency mode to maintain the current speed or flow until manual intervention.

[0043] Specific limitations regarding the adaptive switching device for operating modes can be found in the limitations of the adaptive switching method for operating modes described above, and will not be repeated here. Each module in the aforementioned adaptive switching device for operating modes can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in hardware or independently of the processor in the adaptive switching system for operating modes, or stored in software in the memory of the adaptive switching system for operating modes, so that the processor can call and execute the corresponding operations of each module.

[0044] The adaptive switching device for the operation mode of a magnetic levitation blower provided in this embodiment of the invention can realize all the processes of the adaptive switching method for the operation mode of a magnetic levitation blower in the above embodiment. The functions and technical effects of each module in the device are the same as those of the adaptive switching method for the operation mode of a magnetic levitation blower in the above embodiment, and will not be repeated here.

[0045] To address the aforementioned technical problems, embodiments of this application also provide a computer device. Please refer to [link / reference needed]. Figure 4 , Figure 4 This is a basic structural block diagram of the computer device in this embodiment.

[0046] The computer device 3 includes a memory 31, a processor 32, and a network interface 33 that are interconnected via a system bus. It should be noted that only the computer device 3 with components 31-33 is shown in the figure; however, it should be understood that it is not required to implement all the shown components, and more or fewer components can be implemented alternatively. Those skilled in the art will understand that the computer device described here is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0047] The computer device 3 can be a desktop computer, laptop, handheld computer, or cloud server, etc. The computer device 3 can interact with the user through a keyboard, mouse, remote control, touchpad, or voice control device.

[0048] The memory 31 includes at least one type of readable storage medium, including flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 31 may be an internal storage unit of the computer device 3, such as the hard disk or memory of the computer device 3. In other embodiments, the memory 31 may also be an external storage device of the computer device 3, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the computer device 3. Of course, the memory 31 may also include both the internal storage unit and its external storage device of the computer device 3. In this embodiment, the memory 31 is typically used to store the operating system and various application software installed on the computer device 3, such as computer-readable instructions for an adaptive switching method of the operating mode of a magnetic levitation blower. In addition, the memory 31 can also be used to temporarily store various types of data that have been output or will be output.

[0049] In some embodiments, the processor 32 may be a central processing unit (CPU), controller, microcontroller, microprocessor, or other data processing chip. The processor 32 is typically used to control the overall operation of the computer device 3. In this embodiment, the processor 32 is used to execute computer-readable instructions stored in the memory 31 or to process data, for example, to execute computer-readable instructions for the adaptive switching method of the operating mode of a magnetic levitation blower.

[0050] The network interface 33 may include a wireless network interface or a wired network interface, which is typically used to establish communication connections between the computer device 3 and other electronic devices.

[0051] This application also provides another embodiment, namely, a computer-readable storage medium storing computer-readable instructions that can be executed by at least one processor to cause the at least one processor to perform the steps of the above-described adaptive switching method for the operating mode of a magnetic levitation blower.

[0052] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0053] In the accompanying drawings of this embodiment, the same or similar reference numerals correspond to the same or similar components. In the description of this application, it should be understood that if terms such as "upper," "lower," "left," and "right" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, they are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the accompanying drawings are only for illustrative purposes and should not be construed as limiting this patent. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0054] The above are merely preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for adaptive switching of operating modes of a magnetic levitation blower, characterized in that, Includes the following steps: S100: When the blower is running, variable parameters are collected in real time through a dual-sensor module. The variable parameters include exhaust pressure, gas flow rate, motor speed, intake air temperature, ambient air pressure, and pressure or flow rate change rate reflecting external load or gas network fluctuations. The gas flow rate is compensated for by temperature and pressure based on the ideal gas state equation to obtain the standard flow rate. The dual-sensor module includes a main sensor group and a backup sensor group. The main sensor group and the backup sensor group redundantly collect key parameters and verify their consistency. When the consistency verification between the main sensor group and the backup sensor group is ≤3%, the allowable deviation is ≤3%. If the deviation exceeds the limit for 3 consecutive times, it is determined that the current sensor has failed due to environmental interference. The backup sensor is automatically switched, the fluctuation data is recorded, and an alarm is triggered to ensure the reliability of the response to external variables. S200: Based on historical operating data of the blower within a preset time period, a fitting algorithm is used to generate a surge boundary curve and determine the initial safe pressure threshold and flow threshold; and the safe pressure threshold and flow threshold are dynamically corrected according to the pressure or flow rate change and the ambient air pressure to adapt to external load, gas network fluctuations or environmental changes. S300: When the operating mode is speed mode, if the exhaust pressure is higher than the safety pressure threshold, the standard flow rate is lower than the flow rate threshold, and the pressure rise and flow rate fall trend continues for more than the set time, it will automatically switch to flow mode. When the operating mode is flow mode, if the exhaust pressure is within the set tolerance of the safe pressure threshold and the motor speed is within the set tolerance of the constant speed threshold, and this state is stable for a set time, it will automatically switch back to speed mode.

2. The method of claim 1, wherein the method is characterized by: When switching modes, the motor speed is adjusted at a preset maximum rate, and the target parameters are kept stable through closed-loop PID control to avoid deviation of the operating conditions caused by fluctuations in external variables.

3. The method of claim 1, wherein the method further comprises: The variable parameters in step S100 also include motor current or power reflecting changes in external load; gas network fluctuations are identified by the instantaneous fluctuation of exhaust pressure.

4. The method of claim 1, wherein the method further comprises: The temperature and pressure compensation specifically involves converting the actual gas flow rate into the standard flow rate under standard conditions, thereby eliminating the influence of inlet temperature and ambient pressure on flow measurement.

5. The method of claim 1, wherein the method further comprises: The rules for dynamically adjusting the threshold in step S200 include: When the pressure change rate caused by gas network fluctuations is greater than 5% / min, the dynamic safety pressure threshold is lowered by 0.5 kPa for every 1% increase in the pressure change rate. When changes in ambient temperature cause a deviation of more than 3% in the standard flow rate, the flow rate threshold is adjusted synchronously.

6. The method of claim 1, wherein the method is characterized by: The set time in step S300 is 3-5 seconds, which is used to filter out instantaneous fluctuations in external load or gas network and avoid accidental switching.

7. The adaptive switching method for the operation mode of a magnetic levitation blower according to claim 2, characterized in that, The preset maximum rate of step S400 is ≤0.5Hz / s; The objective of PID control is to maintain a constant standard flow rate in flow mode and a constant motor speed in speed mode, in order to counteract external variable disturbances.

8. An adaptive switching device for the operation mode of a magnetic levitation blower, characterized in that, include: Variable acquisition module: Equipped with a dual sensor module, used to collect in real time the exhaust pressure, flow rate, speed, temperature, air pressure, and pressure or flow rate change rate reflecting external load and air network fluctuations during blower operation; Data processing module: Stores historical operating data and surge boundary fitting algorithm, and can dynamically correct safety pressure threshold and flow threshold based on real-time data collected by variable acquisition module; Automatic switching module: Based on the dynamic safety pressure threshold, flow threshold and real-time parameters of the variable acquisition module output by the data processing module, it automatically determines the mode switching requirements and outputs instructions; Stable adjustment module: Receives switching command and adjusts motor speed at a rate of ≤0.5Hz / s. It maintains the target parameter stability of the corresponding mode through closed-loop PID control. The target parameter in speed mode is constant motor speed, and the target parameter in flow mode is constant standard flow. Anti-interference module: Performs sensor redundancy verification, fluctuation data filtering, and fault alarm to ensure reliable response to external variables.

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