A cooling and heating air supply control method and system based on a magnetic suspension air conditioning unit

Abstract

The application discloses a kind of based on magnetic levitation air conditioning unit's cooling and heating air supply control method and system, it is related to cooling and heating air supply control technical field, including, according to heat load distribution data, using chaos particle swarm optimization algorithm to calculate, obtain optimal compressor speed parameter and fan static pressure parameter combination, based on optimal compressor speed parameter and fan static pressure parameter combination, adjustment magnetic levitation air conditioning unit's compressor speed parameter and fan static pressure parameter, based on adjusted magnetic levitation air conditioning unit, in combination with heat load distribution data, calculate the best deflection angle parameter of deformable guide vane, the best deflection angle parameter of deformable guide vane is converted into pulse width modulation signal, drive the micro servo motor of deformable guide vane, complete air supply air flow distribution.The application provides the air conditioning control method of magnetic levitation technology realizes the dual goal of energy saving and comfort, further optimizes space temperature uniformity and air supply efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cold and warm air supply control, in particular to a cold and warm air supply control method and system based on a magnetic suspension air conditioning unit. BACKGROUND

[0002] With the continuous progress of modern building technology and the increasing demand for indoor environmental comfort, air conditioning as an important equipment for adjusting indoor temperature and humidity plays a crucial role in building design. In the past, air conditioning units relied on mechanical bearing support for compressors, while in recent years the application of magnetic suspension technology has brought revolutionary changes to this field. The use of magnetic suspension bearings instead of mechanical bearings not only significantly reduces friction loss and improves compressor efficiency, but also greatly reduces maintenance requirements and operating noise due to reduced direct contact. In addition, with the development of sensor technology and intelligent control algorithms, air conditioning units can accurately adjust according to real-time monitoring of personnel distribution information and environmental temperature data, thereby achieving more efficient and energy-saving operation.

[0003] However, the existing magnetic suspension air conditioning control method still needs improvement. Most air conditioning products on the market do not fully integrate real-time monitoring of personnel activity information and indoor temperature field data, resulting in insufficient sensitivity of air conditioning unit response and inability to adjust air supply mode in a timely manner according to actual needs. Optimization of compressor speed and fan static pressure often relies on preset rules and simple feedback mechanisms, lacking the ability to explore global optimal solutions under specific working conditions. SUMMARY

[0004] In view of the above existing problems, the present application is proposed.

[0005] Therefore, the present application provides a cold and warm air supply control method based on a magnetic suspension air conditioning unit to solve the problem of magnetic suspension air conditioning units being unable to adjust air supply mode according to demand.

[0006] To solve the above technical problems, the present application provides the following technical solutions:

[0007] In a first aspect, the present application provides a cold and warm air supply control method based on a magnetic suspension air conditioning unit, which includes,

[0008] Starting the magnetic suspension bearing, real-time monitoring the compressor rotor position by the displacement sensor, and adjusting the electromagnetic force to form a stable suspended compressor rotor;

[0009] Based on the stable suspended compressor rotor, collecting personnel distribution data, combining with the environmental temperature data monitored by the infrared thermal imager to construct a comprehensive temperature field and obtain heat load distribution data;

[0010] According to the heat load distribution data, the chaos particle swarm optimization algorithm is used for calculation to obtain the optimal compressor speed parameter and fan static pressure parameter combination;

[0011] Based on the optimal compressor speed parameter and fan static pressure parameter combination, the compressor speed parameter and fan static pressure parameter of the magnetic suspension air conditioning unit are adjusted;

[0012] Based on the adjusted magnetic suspension air conditioning unit, the optimal deflection angle parameter of the deformable guide vane is calculated in combination with the heat load distribution data;

[0013] The optimal deflection angle parameter of the deformable guide vane is converted into a pulse width modulation signal to drive the micro servo motor of the deformable guide vane, and the air supply flow distribution is completed.

[0014] As a preferred scheme of the cold and warm air supply control method based on the magnetic suspension air conditioning unit, the magnetic suspension bearing is started, the position of the compressor rotor is monitored in real time by the displacement sensor, and the electromagnetic force is adjusted to form a stably suspended compressor rotor, specifically,

[0015] The magnetic suspension bearing is started, the three-dimensional position coordinates of the compressor rotor are collected by the displacement sensor, and the three-dimensional position coordinates are transmitted to the electromagnetic force controller;

[0016] The electromagnetic force controller is used to calculate the current command value required by the axial electromagnetic coil according to the three-dimensional position coordinates of the compressor rotor;

[0017] The power amplifier is used to adjust the excitation current of the corresponding electromagnetic coil according to the current command value of each axial electromagnetic coil to generate a space three-dimensional electromagnetic force field;

[0018] The space three-dimensional electromagnetic force field acts on the ferromagnetic part of the compressor rotor to generate an electromagnetic force in the opposite direction of gravity and vibration to form a stably suspended compressor rotor.

[0019] As a preferred scheme of the cold and warm air supply control method based on the magnetic suspension air conditioning unit, the personnel distribution data is collected based on the stably suspended compressor rotor, the environmental temperature data monitored by the infrared thermal imager is combined to construct a comprehensive temperature field, and the heat load distribution data is obtained, specifically,

[0020] Based on the stably suspended compressor rotor, the real-time personnel distribution data is collected using a millimeter wave radar array, and the surface temperature distribution of each surface in the room is captured simultaneously to generate an environmental temperature data matrix;

[0021] The data processing unit is used to perform space-time alignment of the personnel distribution data and the environmental temperature data matrix, and after filling in the blind area data through the Kriging interpolation algorithm, a comprehensive temperature field of personnel thermal radiation and building structure heat transfer is established.

[0022] Based on the comprehensive temperature field, the heat load equivalent value of each space unit is calculated to obtain heat load distribution data.

[0023] As a preferred scheme of the cooling and heating air supply control method based on the magnetic suspension air conditioning unit, wherein: according to the heat load distribution data, the chaotic particle swarm optimization algorithm is used to calculate the optimal compressor speed parameter and fan static pressure parameter combination, specifically,

[0024] The heat load distribution data is input into the chaotic particle swarm optimization algorithm, a Y group of particle swarms including compressor speed parameters and fan static pressure parameters is randomly generated, the particle swarm is initialized by a Tent chaotic mapping function, and the weighted evaluation value of the thermal comfort index and energy consumption coefficient corresponding to each particle in the particle swarm is calculated by the fitness function;

[0025] Based on the weighted evaluation value, each particle in the particle swarm updates the individual historical optimal solution and the global historical optimal solution, and after multiple iterations, the optimal compressor speed parameter and fan static pressure parameter combination is generated.

[0026] As a preferred scheme of the cooling and heating air supply control method based on the magnetic suspension air conditioning unit, wherein: based on the optimal compressor speed parameter and fan static pressure parameter combination, the compressor speed parameter and fan static pressure parameter of the magnetic suspension air conditioning unit are adjusted, specifically,

[0027] The optimal compressor speed parameter and fan static pressure parameter combination is transmitted to the magnetic suspension air conditioning unit control unit;

[0028] The magnetic suspension air conditioning unit control unit generates a three-phase PWM modulation signal and an analog voltage signal after analyzing the optimal compressor speed parameter and fan static pressure parameter combination;

[0029] The frequency of the permanent magnet synchronous motor supplied by the frequency converter is adjusted according to the three-phase PWM modulation signal, so that the compressor rotor is accelerated to the optimal compressor speed parameter under the support of the magnetic suspension bearing;

[0030] After receiving the analog voltage signal, the fan changes the impeller speed through the stepless speed regulating device to establish a static pressure gradient in the air duct that meets the optimal fan static pressure parameter.

[0031] As a preferred scheme of the cooling and heating air supply control method based on the magnetic suspension air conditioning unit, wherein: based on the adjusted magnetic suspension air conditioning unit, the optimal deflection angle parameter of the deformable guide vane is calculated in combination with the heat load distribution data, specifically,

[0032] Based on the adjusted magnetic levitation air conditioning unit, combined with the heat load distribution data, the three-dimensional space airflow organization state is solved by using the computational fluid dynamics method, and the optimal deflection angle parameters of the deformable guide vane are iteratively calculated by using the chaos particle swarm optimization algorithm.

[0033] As a preferred scheme of the cold and warm air supply control method based on the magnetic levitation air conditioning unit, wherein: the optimal deflection angle parameters of the deformable guide vane are converted into pulse width modulation signals, and the micro servo motor of the deformable guide vane is driven to complete air supply airflow distribution, specifically,

[0034] The optimal deflection angle parameters of the deformable guide vane are converted into three-phase pulse width modulation signals by a digital signal processor;

[0035] The pulse width modulation signal drives the micro servo motor of the deformable guide vane to complete the deflection of the deformable guide vane, and the deformable guide vane after deflection distributes the air supply airflow according to the heat load distribution data.

[0036] In a second aspect, the present application provides a cold and warm air supply control system based on a magnetic levitation air conditioning unit, comprising,

[0037] The adjustment module starts the magnetic levitation bearing, monitors the position of the compressor rotor in real time through the displacement sensor, and adjusts the electromagnetic force to form a stably suspended compressor rotor;

[0038] The acquisition module acquires personnel distribution data based on the stably suspended compressor rotor, combines the environmental temperature data monitored by the infrared thermal imager, constructs a comprehensive temperature field, and obtains heat load distribution data;

[0039] The optimization module calculates the optimal compressor speed parameter and fan static pressure parameter combination according to the heat load distribution data by using the chaos particle swarm optimization algorithm;

[0040] The adjustment module adjusts the compressor speed parameter and fan static pressure parameter of the magnetic levitation air conditioning unit based on the optimal compressor speed parameter and fan static pressure parameter combination;

[0041] The calculation module calculates the optimal deflection angle parameters of the deformable guide vane based on the adjusted magnetic levitation air conditioning unit and the heat load distribution data;

[0042] The airflow distribution module converts the optimal deflection angle parameters of the deformable guide vane into pulse width modulation signals, drives the micro servo motor of the deformable guide vane, and completes airflow distribution.

[0043] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and wherein the computer program, when executed by the processor, implements any step of the method for controlling cold and warm air supply based on a magnetic levitation air conditioning unit according to the first aspect of the present application.

[0044] In a fourth aspect, the present application provides a computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements any step of the method for controlling cold and warm air supply based on a magnetic levitation air conditioning unit according to the first aspect of the present application.

[0045] The present application has the following beneficial effects: the stable suspension of the compressor rotor is achieved by starting the magnetic levitation bearing and monitoring and adjusting the electromagnetic force in real time using the displacement sensor, the friction loss, noise and maintenance requirements are reduced, the air conditioning system can respond sensitively according to the actual environmental changes based on the thermal load distribution data, the comfort is improved, the optimal compressor speed parameter and fan static pressure parameter combination are calculated using the chaos particle swarm optimization algorithm, the energy efficiency ratio and thermal comfort of the air conditioning unit are improved, the dual goals of energy saving and comfort are achieved, finally, the airflow distribution is completed by the magnetic levitation air conditioning unit cooperating with the deformable guide vane, the space temperature uniformity and air supply efficiency are further optimized. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0047] Fig. 1 The flowchart of the method for controlling cold and warm air supply based on a magnetic levitation air conditioning unit.

[0048] Fig. 2 The flowchart of adjusting the parameters of the magnetic levitation air conditioning unit.

[0049] Fig. 3 The flowchart of the architecture of the method for controlling cold and warm air supply based on a magnetic levitation air conditioning unit.

[0050] Fig. 4 The flowchart of air supply airflow distribution. DETAILED DESCRIPTION

[0051] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings.

[0052] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, it will be apparent to one skilled in the art that the present application can be practiced without the specific details set forth in this description. In other instances, well-known methods, procedures, components, and circuits have not been described in detail so as not to unnecessarily obscure aspects of the present application.

[0053] It should also be noted that, as used in this specification and the appended claims, the singular forms "a," "an," and "the" include plural referents unless the content clearly dictates otherwise. Thus, for example, reference to "a component" or "the component" can include a combination of two or more components, and the terms "one" or "said" can be used interchangeably with "another" or "at least one." Additionally, it should be noted that, as used in this specification and the appended claims, the term "or" is both the logical and inclusive or and the term "and" is both the logical and exclusive and, unless the content clearly dictates otherwise. Finally, it should be noted that, as used in this specification and the appended claims, the terms "comprise," "comprising," "front," "fronting," "include," "including," and the like can mean "including but not limited to," and the terms "comprise," "comprising," "front," "fronting," "include," "including," and the like can be used interchangeably with "consist of" or "consisting of" unless the content clearly dictates otherwise.

[0054] Reference is made to Figs. 1-4 For one embodiment of the present application, the embodiment provides a cold and warm air supply control method based on a magnetic suspension air conditioning unit, comprising the following steps:

[0055] S1, start the magnetic suspension bearing, monitor the position of the compressor rotor in real time through the displacement sensor, and adjust the electromagnetic force to form a stable suspended compressor rotor;

[0056] Start the magnetic suspension bearing, use the displacement sensor to collect the three-dimensional position coordinates of the compressor rotor, and transmit the three-dimensional position coordinates to the electromagnetic force controller;

[0057] It should be noted that after the magnetic suspension bearing is powered on, the eddy current displacement sensor group arranged in the radial and axial directions of the compressor rotor starts to work, the X-axis displacement sensor, the Y-axis displacement sensor and the Z-axis displacement sensor respectively collect the real-time position coordinates of the compressor rotor in the three-dimensional space with a sampling frequency of 20 kHz, and transmit them to the ADC input port of the electromagnetic force controller through shielded twisted pair.

[0058] Use the electromagnetic force controller to calculate the current command value required by the axial electromagnetic coil according to the three-dimensional position coordinates of the compressor rotor;

[0059] It should be noted that the electromagnetic force controller reads the three-dimensional position coordinates (X-axis coordinate, Y-axis coordinate and Z-axis coordinate) of the compressor rotor uploaded by the displacement sensor group, compares the three-dimensional position coordinates with the suspension target position coordinates, and calculates the X-axis direction position deviation, the Y-axis direction position deviation and the Z-axis direction position deviation; The PID control algorithm built in the electromagnetic force controller calculates the X-axis electromagnetic coil current correction amount, the Y-axis electromagnetic coil current correction amount and the Z-axis electromagnetic coil current correction amount according to the X-axis direction position deviation, the Y-axis direction position deviation and the Z-axis direction position deviation, wherein the electromagnetic coil current correction amount of each axis can be calculated by the following formula, specifically:

[0060]

[0061] Wherein, I represents the axis electromagnetic coil current correction, K represents the axis proportional control coefficient, e represents the axis direction position deviation, R represents the axis integral control term, d represents the axis differential control coefficient, s represents the axis position deviation change, t represents the control period;

[0062] During the calculation, the feedforward compensation algorithm is used to offset the periodic disturbance when the compressor rotor rotates, and the Kalman filter is used to eliminate the influence of measurement noise; finally, the X-axis electromagnetic coil current command value, Y-axis electromagnetic coil current command value and Z-axis electromagnetic coil current command value are output.

[0063] The power amplifier is used to adjust the excitation current of the corresponding electromagnetic coil according to the current command value of each axis electromagnetic coil, and generate a three-dimensional electromagnetic force field in space.

[0064] It should be noted that the power amplifier receives the X-axis electromagnetic coil current command value, Y-axis electromagnetic coil current command value and Z-axis electromagnetic coil current command value sent by the electromagnetic force controller, analyzes the current command value of each axis through the digital signal processor inside the power amplifier, and generates the corresponding PWM modulation signal; the PWM modulation signal drives the H-bridge power circuit to convert the DC bus voltage into the precise excitation current required by the X-axis electromagnetic coil, Y-axis electromagnetic coil and Z-axis electromagnetic coil; the actual current value of each electromagnetic coil is monitored in real time using a Hall current sensor. After comparing the actual current value with the current command value, the power amplifier dynamically corrects the PWM duty cycle through the PID adjustment algorithm, and finally establishes the excitation current matching the command value in the X-axis electromagnetic coil, Y-axis electromagnetic coil and Z-axis electromagnetic coil. The magnetic fields generated by the three groups of electromagnetic coils are synthesized in space vector to form a three-dimensional electromagnetic force field that meets the requirements of compressor rotor suspension control.

[0065] The three-dimensional electromagnetic force field in space acts on the ferromagnetic components of the compressor rotor to generate electromagnetic force in the opposite direction of gravity and vibration, forming a stable suspended compressor rotor.

[0066] Further, when the spatial three-dimensional electromagnetic force field acts on the ferromagnetic components of the compressor rotor, the radial horizontal electromagnetic force generated by the X-axis electromagnetic coil counteracts the horizontal displacement inertia force of the compressor rotor, the radial vertical electromagnetic force generated by the Y-axis electromagnetic coil balances the gravitational load of the compressor rotor, and the axial electromagnetic force generated by the Z-axis electromagnetic coil suppresses the axial movement of the compressor rotor; the three groups of electromagnetic forces form a vector resultant force in space, and the direction of the vector resultant force is always opposite to the direction of the displacement of the compressor rotor detected by the displacement sensor; the electromagnetic force controller dynamically adjusts the strength of the three-dimensional electromagnetic field according to the real-time data of the displacement sensor, so that the compressor rotor is kept suspended in the radial direction, for example, 50±2μm, and in the axial direction, for example, 20±1μm; when the compressor rotor is disturbed by external vibration, the electromagnetic field completes adaptive adjustment within 5ms, and the amplitude of the compressor rotor is suppressed within ±3μm through electromagnetic damping effect, finally realizing stable suspension of the compressor rotor.

[0067] S2, based on the stably suspended compressor rotor, collecting personnel distribution data, combining with the environmental temperature data monitored by the infrared thermal imager, constructing a comprehensive temperature field, and obtaining thermal load distribution data;

[0068] Based on the stably suspended compressor rotor, real-time personnel distribution data is collected using a millimeter wave radar array, and at the same time, the temperature distribution of each surface in the room is captured by an infrared thermal imager to generate an environmental temperature data matrix;

[0069] It should be noted that in the state of stable suspension of the compressor rotor, the millimeter wave radar array installed on the top of the room transmits 76-81GHz frequency-modulated continuous wave at a scanning frequency of 60Hz, and calculates the real-time personnel distribution coordinates through beam forming algorithm after receiving the human body reflection signal, and outputs personnel distribution data including personnel position, moving speed and body size characteristics. At the same time, the infrared thermal imager deployed on the four walls synchronously scans the temperature of each surface in the room, converts the infrared radiation intensity into temperature value by using the blackbody radiation law, and generates an environmental temperature data matrix with spatial coordinate markers.

[0070] The data processing unit is used to spatiotemporally align the personnel distribution data with the environmental temperature data matrix, and after filling in the blind area data through Kriging interpolation algorithm, a comprehensive temperature field of personnel thermal radiation and building structure heat transfer is established;

[0071] It should be noted that after the data processing unit receives the personnel distribution data and the environmental temperature data matrix, it first adds a uniform timestamp and a spatial coordinate system identifier to the two sets of data; the dynamic time warping algorithm is used to compensate for the sampling time difference between the millimeter wave radar array and the infrared thermal imager, ensuring that the personnel distribution data and the environmental temperature data matrix are strictly synchronized in the time dimension; the polar coordinates of the personnel distribution data are converted into the Cartesian coordinate system consistent with the environmental temperature data matrix through coordinate transformation, establishing an associated data set including personnel coordinates, moving speed, and surface temperature, and using the Kriging interpolation algorithm to calculate the temperature prediction value of the blind area position of the beam column, door and window in the building structure, introducing the human metabolic heat parameter (for example, 58W / m 2 ) in the personnel distribution data as a correction factor in the interpolation process, and finally generating a comprehensive temperature field.

[0072] The comprehensive temperature field includes four-dimensional data of each 0.1m 3 spatial unit: three-dimensional coordinates (X, Y, Z), temperature value, personnel heat radiation intensity, and building structure heat transfer coefficient.

[0073] Based on the comprehensive temperature field, the equivalent value of the heat load of each spatial unit is calculated to obtain the heat load distribution data.

[0074] Further, the comprehensive temperature field is input into the thermodynamic calculation engine, which analyzes the three-dimensional coordinates, temperature value, personnel heat radiation intensity, and building structure heat transfer coefficient of each 0.1m 3 spatial unit, and simultaneously solves the instantaneous heat exchange of each spatial unit through the heat flux density formula. The heat flux density formula is as follows:

[0075] M = a x G + h (θ - τ);

[0076] Where M represents the instantaneous heat exchange, a represents the building envelope heat transfer coefficient, G represents the temperature difference between the inner and outer surfaces of the envelope, h represents the convective heat transfer coefficient between air and human body surface, θ represents the body surface temperature of personnel, and τ represents the air temperature of the spatial unit.

[0077] The temperature difference t between the inner and outer surfaces of the envelope is measured by the infrared thermal imager and the embedded temperature sensor, the convective heat transfer coefficient h between air and human body surface is related to the air flow speed (such as 4.3 at low speed 0.15m / s and 6.1 at high speed 0.35m / s), the body surface temperature of personnel is collected by the millimeter wave radar, and the air temperature τ of the spatial unit is taken from the comprehensive temperature field.

[0078] The instantaneous heat exchange amount of each space unit is compared with the indoor comfort temperature reference value (for example, 24±1℃), and the equivalent value of the heat load of each space unit is output; after the equivalent values of the heat loads of all space units are smoothed by Gaussian filtering, heat load distribution data with three-dimensional coordinate markers are generated. The heat load distribution data include three parameters: spatial position coordinates, real-time heat load values, and historical change trend slopes.

[0079] S3, based on the heat load distribution data, a chaotic particle swarm optimization algorithm is used for calculation to obtain an optimal compressor speed parameter and fan static pressure parameter combination;

[0080] The heat load distribution data are input into the chaotic particle swarm optimization algorithm, Y groups of particle swarms including compressor speed parameters and fan static pressure parameters are randomly generated, a Tent chaotic initialization is performed on the particle swarms by using a chaotic mapping function, and a weighted evaluation value of a corresponding thermal comfort index and energy consumption coefficient of each particle in the particle swarms is calculated by using a fitness function;

[0081] It should be noted that after the heat load distribution data are input into the chaotic particle swarm optimization algorithm, Y groups of initial particle swarms of compressor speed parameters and fan static pressure parameters are randomly generated in the initialization link of the chaotic particle swarm optimization algorithm; the Tent chaotic mapping function performs chaotic processing on the compressor speed parameter and the fan static pressure parameter of each particle in the particle swarms, that is, the Tent chaotic mapping function receives the compressor speed parameter and the fan static pressure parameter of each particle in the particle swarms as input, generates a chaotic sequence through iteration, the chaotic sequence performs nonlinear transformation on the compressor speed parameter and the fan static pressure parameter, the nonlinear transformed compressor speed parameter and fan static pressure parameter are redistributed in the solution space to form a parameter combination with ergodicity and randomness, and the chaotic processing of the parameters in the particle swarm optimization process is completed; the fitness function calculates the corresponding thermal comfort index (PMV-PPD value) and energy consumption coefficient (COP inverse) of each particle after the chaotic processing based on the heat load distribution data, and outputs a weighted evaluation value through linear weighting (for example, the weight of the thermal comfort index is 0.6, and the weight of the energy consumption coefficient is 0.4), and the formula is:

[0082] F=α·(P)+β·(C);

[0083] Wherein, F represents the weighted evaluation value, α represents the weight of the thermal comfort index, P represents the thermal comfort index, β represents the weight of the energy consumption coefficient, and C represents the energy consumption coefficient.

[0084] Based on the weighted evaluation value, each particle in the particle swarm updates the individual historical optimal solution and the global historical optimal solution, and after multiple rounds of iteration, an optimal compressor speed parameter and fan static pressure parameter combination is generated.

[0085] Further, each particle compares the weighted evaluation value corresponding to the current compressor speed parameter and the fan static pressure parameter with the weighted evaluation value stored in the individual historical optimal solution of the particle. If the current weighted evaluation value is better, the individual historical optimal solution, i.e. the global historical optimal solution, is updated with the current compressor speed parameter and the fan static pressure parameter. After 200 iterations, the compressor speed parameter and the fan static pressure parameter recorded in the global historical optimal solution are used as the optimal compressor speed parameter and the fan static pressure parameter combination.

[0086] S4, adjusting the compressor speed parameter and the fan static pressure parameter of the magnetic levitation air conditioning unit based on the optimal compressor speed parameter and the fan static pressure parameter combination;

[0087] S5, transmitting the optimal compressor speed parameter and the fan static pressure parameter combination to the magnetic levitation air conditioning unit control unit;

[0088] It should be noted that the optimal compressor speed parameter and the fan static pressure parameter combination output by the chaotic particle swarm optimization algorithm is packaged as a control instruction data packet through a real-time Ethernet protocol and uploaded to the communication interface of the magnetic levitation air conditioning unit control unit.

[0089] The magnetic levitation air conditioning unit control unit generates a three-phase PWM modulation signal and an analog voltage signal after analyzing the optimal compressor speed parameter and the fan static pressure parameter combination;

[0090] It should be noted that the digital signal processor of the magnetic levitation air conditioning unit control unit automatically converts the compressor speed parameter into a three-phase PWM modulation signal; at the same time, the fan static pressure parameter is output as an analog voltage signal through a 12-bit digital-to-analog converter. The variable frequency drive signal includes the three-phase PWM modulation signal and the analog voltage signal.

[0091] The frequency converter adjusts the power supply frequency of the permanent magnet synchronous motor according to the three-phase PWM modulation signal, so that the compressor rotor accelerates to the optimal compressor speed parameter under the support of the magnetic levitation bearing;

[0092] It should be noted that after receiving the three-phase PWM modulation signal generated by the magnetic levitation air conditioning unit control unit, the IPM intelligent power module converts the three-phase PWM modulation signal into a three-phase alternating voltage output; the three-phase alternating voltage is applied to the stator winding of the permanent magnet synchronous motor to generate a rotating magnetic field. The rotating magnetic field drives the compressor rotor to accelerate, and finally the compressor rotor reaches the target speed under the support of the magnetic levitation bearing.

[0093] After the fan receives the analog voltage signal, the variable speed device changes the impeller speed to establish the static pressure gradient in the air duct that meets the optimal fan static pressure parameters.

[0094] It should be noted that after the fan receives the analog voltage signal output by the magnetic levitation air conditioning unit control unit, the voltage-frequency converter inside the variable speed device converts the analog voltage signal into a PWM waveform corresponding to the frequency; the PWM waveform drives the MOSFET power switch to adjust the input voltage of the DC motor, and the output shaft of the DC motor is connected to the centrifugal impeller shaft through an elastic coupling. The centrifugal force generated by the impeller speed increase forms a static pressure gradient between the inlet and outlet of the volute air duct.

[0095] S5, based on the adjusted magnetic levitation air conditioning unit, combined with the heat load distribution data, calculate the optimal deflection angle parameters of the deformable guide vane;

[0096] Based on the adjusted magnetic levitation air conditioning unit, combined with the heat load distribution data, the computational fluid dynamics method is used to solve the three-dimensional space airflow organization state, and the optimal deflection angle parameters of the deformable guide vane are calculated through the chaotic particle swarm optimization algorithm iterative calculation;

[0097] It should be noted that based on the adjusted magnetic levitation air conditioning unit, a three-dimensional flow field model is established based on the heat load distribution data using the computational fluid dynamics method, and the spatial airflow organization state is obtained by solving the Navier-Stokes equation. The Navier-Stokes equation is the mathematical basis for computational fluid dynamics (CFD) to establish a three-dimensional flow field model, and is a partial differential equation group describing the motion of fluid (momentum conservation), mass conservation and energy conservation. Among them, the mass conservation equation formula is:

[0098]

[0099] Where, ρ represents the fluid density, t represents the time, The divergence operator is represented by, and the velocity vector is represented by u.

[0100] The momentum conservation equation formula is:

[0101]

[0102] Where, ρ represents the fluid density, t represents the time, u represents the velocity vector, The divergence operator is represented by, U represents the air dynamic viscosity, W represents the gravity, and j represents the static pressure.

[0103] The energy conservation equation formula is:

[0104]

[0105] Wherein, p represents fluid density, m represents air constant pressure specific heat capacity, Z represents temperature, k represents air thermal conductivity, Phi represents viscous dissipation, Q represents external heat source;

[0106] After solving the Navier-Stokes equation, the CFD post-processing software is used to extract the gas flow vector velocity, pressure and temperature, so as to obtain the spatial gas flow state organization;

[0107] The particle swarm optimization algorithm initializes a set of particle positions representing the deflection angle of the deformable guide vane, constructs a target function based on the gas flow organization state and heat load distribution data, and comprehensively considers the temperature uniformity and gas flow organization efficiency. The computational fluid dynamics method performs simulation temperature standard deviation, gas flow organization efficiency and fan energy consumption data according to the particle position, and returns the weighted sum of the simulated temperature standard deviation, gas flow organization efficiency and fan energy consumption data to the particle swarm optimization algorithm. The particle swarm optimization algorithm updates the particle velocity and position according to the target function value, retains the historical optimal solution in the iteration process, and finally outputs the optimal deflection angle parameters of the deformable guide vane that minimize the target function.

[0108] S6, the optimal deflection angle parameters of the deformable guide vane are converted into pulse width modulation signals, and the micro servo motor of the deformable guide vane is driven to complete the air supply air flow distribution;

[0109] The optimal deflection angle parameters of the deformable guide vane are converted into three-phase pulse width modulation signals with different phases by a digital signal processor;

[0110] It should be noted that after the optimal deflection angle parameters of the deformable guide vane are input into the digital signal processor, the optimal deflection angle parameters are converted into control quantities in the d-q axis rotating coordinate system by Park-Clark transformation, and three-phase duty cycle data are generated by space vector modulation algorithm. The timer unit of the digital signal processor outputs three-phase pulse width modulation signals with a phase difference of 120 degrees synchronously according to the three-phase duty cycle data.

[0111] The pulse width modulation signal drives the micro servo motor of the deformable guide vane to complete the deflection of the deformable guide vane, and the deformable guide vane that has completed the deflection distributes the air supply air flow according to the heat load distribution data;

[0112] It should be noted that the pulse width modulation signal drives the rotation of the micro servo motor of the deformable guide vane, drives the deformable guide vane to rotate to the target angle position, and the photoelectric encoder built-in the micro servo motor detects the actual deflection angle of the deformable guide vane in real time. The actual deflection angle of the deformable guide vane is compared with the optimal deflection angle parameter of the deformable guide vane, and the duty cycle of the pulse width modulation signal is adjusted through the proportional integral differential control algorithm to ensure that the deformable guide vane completes deflection. The deformable guide vane after deflection changes the direction and speed distribution of the air supply flow, so that the air supply flow (including the cold air flow in the cooling mode and the hot air flow in the heating mode) is automatically distributed according to the heat load distribution data collected by the infrared thermal imager. For example, in the cooling mode, the cold air flow speed in the high temperature area is increased to 0.25-0.35 m / s, and the air supply angle is controlled in the range of 15-25°. In the heating mode, the hot air flow air supply angle in the low temperature area is adjusted to 30-45°, and the low speed air supply is maintained at 0.12-0.18 m / s.

[0113] The embodiment also provides a cold and warm air supply control system based on a magnetic suspension air conditioning unit, comprising:

[0114] The adjusting module starts the magnetic suspension bearing, monitors the position of the compressor rotor in real time through the displacement sensor, and adjusts the electromagnetic force to form a stably suspended compressor rotor;

[0115] The collecting module collects personnel distribution data based on the stably suspended compressor rotor, combines the environmental temperature data monitored by the infrared thermal imager, constructs a comprehensive temperature field, and obtains heat load distribution data;

[0116] The optimization module calculates the optimal compressor speed parameter and fan static pressure parameter combination according to the heat load distribution data using the chaos particle swarm optimization algorithm;

[0117] The adjusting module adjusts the compressor speed parameter and fan static pressure parameter of the magnetic suspension air conditioning unit based on the optimal compressor speed parameter and fan static pressure parameter combination;

[0118] The calculation module calculates the optimal deflection angle parameter of the deformable guide vane based on the adjusted magnetic suspension air conditioning unit and the heat load distribution data;

[0119] The air flow distribution module converts the optimal deflection angle parameter of the deformable guide vane into a pulse width modulation signal to drive the micro servo motor of the deformable guide vane to complete air flow distribution.

[0120] The embodiment also provides a computer device suitable for the cold and warm air supply control method based on the magnetic levitation air conditioning unit, which comprises a memory and a processor.

[0121] The computer device can be a terminal, which comprises a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. The processor of the computer device is used to provide calculation and control capability. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. The wireless manner can be achieved through WIFI, an operator network, NFC (Near Field Communication) or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, a trackball or a touchpad arranged on the shell of the computer device, or an external keyboard, a touchpad or a mouse, etc.

[0122] The embodiment also provides a storage medium having a computer program stored thereon, which is executed by a processor to implement the cold and warm air supply control method based on the magnetic levitation air conditioning unit. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, a magnetic disk or an optical disk.

[0123] To sum up, the present application realizes stable suspension of the compressor rotor by starting the magnetic suspension bearing and monitoring and adjusting the electromagnetic force in real time by using the displacement sensor, reduces the friction loss, lowers the noise and maintenance requirements, and the heat load distribution data enables the air conditioning system to respond sensitively according to the actual environmental changes, improves the comfort, adopts the chaos particle swarm optimization algorithm to calculate the optimal compressor rotating speed parameter and fan static pressure parameter combination, improves the energy efficiency ratio and thermal comfort of the air conditioning unit, realizes the dual goals of energy saving and comfort, finally, the magnetic suspension air conditioning unit cooperates with the deformable guide vane to complete the airflow distribution, further optimizes the space temperature uniformity and air supply efficiency.

[0124] It should be noted that the above examples are only used to illustrate the technical solutions of the present application and are not limiting, although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present application, which should be covered in the scope of the claims of the present application.

Claims

1. A method for controlling the cooling and heating air supply of a magnetic levitation air conditioning unit, characterized in that: include, The magnetic levitation bearing is activated, and the compressor rotor position is monitored in real time by a displacement sensor. The electromagnetic force is adjusted to form a stable levitation compressor rotor, specifically: The magnetic levitation bearing is activated, and a displacement sensor is used to collect the three-dimensional position coordinates of the compressor rotor, which are then transmitted to the electromagnetic force controller. The electromagnetic force controller calculates the required current command value for the axial electromagnetic coil based on the three-dimensional position coordinates of the compressor rotor. The power amplifier is used to adjust the excitation current of the corresponding electromagnetic coil according to the current command value of each axial electromagnetic coil to generate a three-dimensional electromagnetic force field in space. By applying a three-dimensional electromagnetic field to the ferromagnetic components of the compressor rotor, an electromagnetic force is generated that is opposite to gravity and vibration, thus forming a stable suspended compressor rotor. Based on a stable suspended compressor rotor, personnel distribution data is collected and combined with ambient temperature data monitored by an infrared thermal imager to construct a comprehensive temperature field and obtain heat load distribution data. Based on the heat load distribution data, the optimal combination of compressor speed parameters and fan static pressure parameters is obtained using the chaotic particle swarm optimization algorithm. Specifically: The heat load distribution data is input into the chaotic particle swarm optimization algorithm, and Y groups of particles including compressor speed parameters and fan static pressure parameters are randomly generated. The particle swarm is initialized with Tent chaos using the chaotic mapping function, and the weighted evaluation value of thermal comfort index and energy consumption coefficient corresponding to each particle in the particle swarm is calculated through the fitness function. Based on the weighted evaluation value, each particle in the particle swarm updates its individual historical best solution and the global historical best solution. After multiple rounds of iteration, the optimal combination of compressor speed parameters and fan static pressure parameters is generated. Based on the optimal combination of compressor speed parameters and fan static pressure parameters, the compressor speed parameters and fan static pressure parameters of the magnetic levitation air conditioning unit are adjusted as follows: The optimal combination of compressor speed parameters and fan static pressure parameters is transmitted to the magnetic levitation air conditioning unit control unit. The control unit of the magnetic levitation air conditioning unit analyzes the optimal combination of compressor speed parameters and fan static pressure parameters to generate a three-phase PWM modulation signal and an analog voltage signal; The inverter adjusts the power supply frequency of the permanent magnet synchronous motor according to the three-phase PWM modulation signal, so that the compressor rotor accelerates to the optimal compressor speed parameters under the support of the magnetic levitation bearing; After receiving the analog voltage signal, the fan changes the impeller speed through a stepless speed regulation device to establish a static pressure gradient in the duct that conforms to the optimal static pressure parameters of the fan. Based on the adjusted magnetic levitation air conditioning unit and combined with heat load distribution data, the optimal deflection angle parameters of the deformable guide vanes are calculated. The optimal deflection angle parameters of the deformable guide vanes are converted into pulse width modulation signals to drive the miniature servo motors of the deformable guide vanes, thereby completing the airflow distribution.

2. The cooling and heating air supply control method based on a magnetic levitation air conditioning unit as described in claim 1, characterized in that: The compressor rotor, based on stable suspension, collects personnel distribution data and combines it with ambient temperature data monitored by an infrared thermal imager to construct a comprehensive temperature field and obtain heat load distribution data. Specifically, Based on a stable suspended compressor rotor, a millimeter-wave radar array is used to collect real-time personnel distribution data, and an infrared thermal imager is used to capture the temperature distribution of various indoor surfaces to generate an ambient temperature data matrix. The data processing unit is used to align the personnel distribution data with the ambient temperature data matrix in time and space. After filling the monitoring blind spots with the Kriging interpolation algorithm, a comprehensive temperature field of personnel thermal radiation and building structure heat transfer is established. Based on the comprehensive temperature field, the equivalent value of the heat load for each spatial unit is calculated to obtain heat load distribution data.

3. The cooling and heating air supply control method based on a magnetic levitation air conditioning unit as described in claim 2, characterized in that: Based on the adjusted magnetic levitation air conditioning unit and combined with heat load distribution data, the optimal deflection angle parameters of the deformable guide vanes are calculated, specifically as follows: Based on the adjusted magnetic levitation air conditioning unit, combined with heat load distribution data, computational fluid dynamics is used to solve the three-dimensional airflow organization state, and the optimal deflection angle parameters of the deformable guide vanes are iteratively calculated using chaotic particle swarm optimization algorithm.

4. The cooling and heating air supply control method based on a magnetic levitation air conditioning unit as described in claim 3, characterized in that: The process involves converting the optimal deflection angle parameters of the deformable guide vanes into pulse width modulation signals and driving the miniature servo motors of the deformable guide vanes to complete the airflow distribution. Specifically, The optimal deflection angle parameters of the deformable guide vane are converted into three pulse width modulation signals with phase difference by a digital signal processor; A pulse width modulation signal drives a miniature servo motor to deflect the deformable guide vanes, which then distribute the airflow according to the heat load distribution data.

5. A cooling and heating air supply control system based on a magnetic levitation air conditioning unit, based on the cooling and heating air supply control method for a magnetic levitation air conditioning unit as described in any one of claims 1 to 4, characterized in that: include, The adjustment module activates the magnetic levitation bearing, monitors the compressor rotor position in real time through a displacement sensor, and adjusts the electromagnetic force to form a stable suspended compressor rotor. The data acquisition module, based on a stable suspended compressor rotor, collects personnel distribution data and combines it with ambient temperature data monitored by an infrared thermal imager to construct a comprehensive temperature field and obtain heat load distribution data. The optimization module uses a chaotic particle swarm optimization algorithm to calculate the optimal combination of compressor speed parameters and fan static pressure parameters based on heat load distribution data. The adjustment module adjusts the compressor speed and fan static pressure parameters of the magnetic levitation air conditioning unit based on the optimal combination of compressor speed parameters and fan static pressure parameters. The calculation module, based on the adjusted magnetic levitation air conditioning unit and combined with heat load distribution data, calculates the optimal deflection angle parameters of the deformable guide vanes; The airflow distribution module converts the optimal deflection angle parameters of the deformable guide vanes into pulse width modulation signals, which drive the miniature servo motors of the deformable guide vanes to complete the airflow distribution.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the cooling and heating air supply control method based on any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the cooling and heating air supply control method based on any one of claims 1 to 4.

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