WO2023093246A1

WO2023093246A1 - Early warning method, apparatus, and system for air conditioner compressor

Info

Publication number: WO2023093246A1
Application number: PCT/CN2022/120287
Authority: WO
Inventors: 张晓�; 陈运东; 黄嘉诚
Original assignee: 青岛海尔空调器有限总公司; 青岛海尔空调电子有限公司; 海尔智家股份有限公司
Priority date: 2021-11-25
Filing date: 2022-09-21
Publication date: 2023-06-01
Also published as: CN116163914A

Abstract

The present invention provides an early warning solution for an air conditioner compressor. Fourier transform is separately performed on an acceleration signal of an active end of a compressor foot pad and an acceleration signal of a passive end thereof; an actual vibration attenuation amount of the compressor foot pad is obtained on the basis of the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end thereof after Fourier transform; a simulated vibration attenuation amount corresponding to the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end thereof after Fourier transform is outputted by a simulation model, and when an error rate is within a preset error range and the actual vibration attenuation amount is lower than a preset attenuation threshold, an external load spectrum received by the compressor foot pad is calculated on the basis of the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end thereof; and risk analysis is performed on the compressor foot pad by using a preset fatigue analysis model on the basis of the external load spectrum, and an analysis result is outputted. Early prediction for an air conditioner compressor fault is achieved.

Description

Air conditioner compressor early warning method, device and system

This application is based on a Chinese patent application with application number 202111414438.0 and a filing date of November 25, 2021, and claims the priority of this Chinese patent application. The entire content of this Chinese patent application is hereby incorporated by reference into this application.

technical field

The invention relates to the technical field of fault detection, in particular to an air conditioner compressor early warning method, device and system.

Background technique

Parking air conditioners are mainly installed on commercial vehicles and engineering vehicles. Due to the harsh operating conditions of the vehicles matched with the parking air conditioners and the various external road loads, the probability of fatigue fracture of the parking air conditioner pipe compressor circuit system increases.

How to timely detect whether the parking air-conditioning pipe compressor circuit system will fail has become one of the technical problems to be solved urgently in this application.

Contents of the invention

In view of this, an embodiment of the present invention provides an air conditioner compressor early warning method, device and system, so as to realize the prediction of the failure of the air conditioner compressor.

In order to achieve the above purpose, embodiments of the present invention provide the following technical solutions:

An air conditioner compressor early warning method, comprising:

Acquire the air conditioner working condition signal, the air conditioner working condition signal includes: the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end;

Carry out Fourier transform respectively to the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end;

Based on the acceleration signal at the active end of the foot pad of the compressor and the acceleration signal at the passive end after Fourier transform, the actual vibration attenuation of the foot pad of the compressor is obtained;

Acquiring the simulated vibration attenuation output of the simulation model based on the acceleration detection points of the active end and the passive end of the compressor foot pad;

Comparing the actual vibration attenuation with the simulated vibration attenuation, calculating the error rate between the actual vibration attenuation and the simulated vibration attenuation;

When the error rate is within the preset error range and the actual vibration attenuation is lower than the preset attenuation threshold, the compressor foot is calculated based on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end. The external load spectrum received by the pad;

The preset fatigue analysis model is used to analyze the risk of the compressor foot pad based on the external load spectrum, and an analysis result is output.

Optionally, in the above air conditioner compressor early warning method, the working condition signal also includes: the acceleration signal of the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator Signal, acceleration signal of the installation point of the external machine support;

The method also includes: performing Fourier transform on the acceleration signal of the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the acceleration signal of the position of the mounting point of the external machine support. Variety;

Based on the acceleration signal of the air outlet position of the compressor after Fourier transformation, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the acceleration signal of the installation point of the external machine support, the installation The vibration exciter at the position of the pipeline close to the evaporator, the acceleration signal to the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the installation of the external machine bracket The sensor corresponding to the point position acceleration signal, the frequency response function curve under each transmission path between;

Obtain the frequency and amplitude of the frequency response function curve at time n and m, and when the rate of change of the frequency and amplitude at time n and m are greater than the preset value, the output is used to represent the corresponding frequency response function curve There is a warning message that there is a risk of rupture of the pipeline.

Optionally, in the above air conditioner compressor early warning method, the working condition signal further includes: a compressor tilt angle signal and a compressor rotation angle signal;

The method also includes, using the inclination signal of the compressor and the compressor rotation angle signal as the input signal of the CAE simulation model, and calculating a combined pair of forces and moments that match the inclination signal of the compressor and the compressor rotation angle signal;

Obtain the actual strain signal of the target position;

Comparing the actual strain signal with the simulated strain result, and determining the magnitude and direction of the force and moment received by the target position based on the comparison result;

Obtain the force signal and torque signal of the compressor;

Based on the magnitude and direction of the force and moment and the force signal and moment signal of the compressor, determine the relative magnitude of the compressor's own excitation force and the external vehicle transmission force received by the compressor pipeline system;

The simulation model is used to determine whether there is a risk of fracture of the compressor pipeline based on the relative size of the compressor's own excitation force received by the compressor pipeline system and the external vehicle transmission force, and output the judgment result.

Optionally, the above air conditioner compressor early warning method also includes:

The acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end are obtained through the acceleration sensor arranged at the active end of the compressor foot pad and the acceleration sensor arranged at the passive end of the compressor foot pad.

Optionally, the above air conditioner compressor early warning method also includes: through the acceleration sensor arranged at the air outlet of the compressor, the acceleration sensor arranged at the position of the compressor pipeline close to the compressor, the acceleration sensor arranged at the position of the compressor pipeline close to the evaporation The acceleration sensor at the position of the compressor and the acceleration sensor at the installation point of the external machine support respectively obtain the acceleration signal at the air outlet of the compressor, the acceleration signal at the position where the compressor pipeline is close to the compressor, and the acceleration signal at the position where the compressor pipeline is close to the evaporator , Acceleration signal at the installation point of the external machine bracket.

The inclination angle signal and the compressor rotation angle signal of the compressor are respectively measured by the inclination angle sensor and the rotational speed sensor installed at the bottom of the compressor.

An air conditioner compressor risk warning device, comprising:

The working condition data acquisition unit is used to acquire the air conditioner working condition signal, and the air conditioner working condition signal includes: the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end;

The compressor foot pad risk assessment unit is used to perform Fourier transform on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end respectively; based on the acceleration signal of the active end of the compressor foot pad after Fourier transform and the acceleration signal of the passive end to obtain the actual vibration attenuation amount of the compressor foot pad; obtain the simulated vibration attenuation amount output by the simulation model based on the acceleration detection point output of the active end of the compressor foot pad and the passive end; the actual vibration attenuation The amount is compared with the simulated vibration attenuation amount, and the error rate between the actual vibration attenuation amount and the simulated vibration attenuation amount is calculated; when the error rate is within the preset error range, and the actual vibration attenuation amount is low When the attenuation threshold is preset, the external load spectrum received by the compressor foot pad is calculated based on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end; the preset fatigue analysis model is used based on the external load spectrum , performing a risk analysis on the compressor foot pad, and outputting an analysis result.

Optionally, in the above air conditioner compressor risk warning device, the working condition signal acquired by the working condition data acquisition unit also includes: the acceleration signal of the air outlet position of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the compression Acceleration signal at the position where the machine pipeline is close to the evaporator, and the acceleration signal at the installation point of the external machine support;

The device also includes:

The first pipeline risk prediction unit is used for the acceleration signal of the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the position of the installation point of the external machine support Accelerate the signal for Fourier transformation;

Based on the acceleration signal of the air outlet position of the compressor after Fourier transformation, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the acceleration signal of the installation point of the external machine support, the installation The vibration exciter at the position of the pipeline close to the evaporator, the acceleration signal to the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the installation of the external machine bracket The sensor corresponding to the point position acceleration signal, the frequency response function curve under each transmission path between; obtain the frequency and amplitude of the frequency response function curve at n time and m time, when the frequency and amplitude of the n time and m time When the rate of change of the values is greater than the preset value, a prompt message indicating the risk of rupture of the pipeline corresponding to the frequency response function curve is output.

Optionally, in the above air conditioner compressor risk warning device, the working condition signal acquired by the working condition data acquisition unit also includes: a compressor tilt angle signal and a compressor rotation angle signal;

The device also includes: a second pipeline risk prediction unit, which is used to use the inclination signal of the compressor and the compressor rotation angle signal as the input signal of the CAE simulation model, and calculate and obtain the inclination signal and the compressor rotation angle signal of the compressor Combination pairs of matched forces and moments

Combined with the CAE simulation model to calculate the corresponding inclination and rotation angle of the compressor piping system, it can be calculated that when the compressor piping system produces the corresponding inclination and rotation angle, the combination of several different forces and moments will affect the

Obtaining the simulation strain results corresponding to the combination of the force and moment;

Obtain the actual strain signal of the target position;

Obtain the force signal and torque signal of the compressor;

An air conditioner compressor early warning system, comprising:

A sensor set, the sensor set has a plurality of sensors for collecting the air conditioner working condition signal, and the air conditioner working condition signal includes: the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end;

The data processor is used to perform Fourier transform on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end respectively; based on the acceleration signal of the active end of the compressor foot pad after the Fourier transform and the acceleration of the passive end signal to obtain the actual vibration attenuation of the compressor foot pad; obtain the simulated vibration attenuation output of the simulation model based on the acceleration detection points of the active end and the passive end of the compressor foot pad; compare the actual vibration attenuation with the Comparing the simulated vibration attenuation, calculating the error rate between the actual vibration attenuation and the simulated vibration attenuation; when the error rate is within the preset error range, and the actual vibration attenuation is lower than the preset attenuation When the threshold is reached, the external load spectrum received by the compressor foot pad is calculated based on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end; the preset fatigue analysis model is used to calculate the external load spectrum based on the external load spectrum. The compressor foot pad conducts risk analysis and outputs the analysis results;

A simulation module, the simulation module has a built-in simulation model for performing simulation operations based on the acquired input data.

Based on the above technical solution, the present invention provided by the embodiment of the present invention provides an air conditioner compressor early warning scheme, by performing Fourier transform on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end respectively; The acceleration signal of the active end of the transformed compressor foot pad and the acceleration signal of the passive end are used to obtain the actual vibration attenuation of the compressor foot pad; the simulation model is used to output the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end of the compressor foot pad after Fourier transform. The simulated vibration attenuation corresponding to the acceleration signal, when the error rate is within the preset error range and the actual vibration attenuation is lower than the preset attenuation threshold, the compressor is calculated based on the acceleration signal at the active end of the compressor foot pad and the acceleration signal at the passive end The external load spectrum received by the foot pad; the preset fatigue analysis model is used to analyze the risk of the compressor foot pad based on the external load spectrum, and the analysis results are output, which realizes the early prediction of air-conditioning compressor failure.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present invention, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

FIG. 1 is a schematic flow chart of an air conditioner compressor early warning method disclosed in an embodiment of the present application;

FIG. 2 is a schematic flow chart of an air conditioner compressor early warning method disclosed in another embodiment of the present application;

3 is a schematic flow chart of an air conditioner compressor early warning method disclosed in another embodiment of the present application;

FIG. 4 is a schematic structural diagram of an early warning device for an air conditioner compressor disclosed in an embodiment of the present application;

Fig. 5 is a schematic structural diagram of an early warning system for an air conditioner compressor disclosed in an embodiment of the present application.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

In order to detect the working condition of the air conditioner compressor in time to determine whether there is an operation risk in the compressor, the present application discloses an early warning method for the air conditioner compressor, as shown in Figure 1. The method may include:

Step S101: Obtain an air conditioner working condition signal.

In this solution, the working condition signal can be a sensor signal collected by each sensor installed on the compressor or the corresponding pipeline, and the type of the collected signal can be configured based on the detection item, and can be obtained by setting the corresponding sensor Corresponding working condition signal.

For example, in the technical solution disclosed in this embodiment, the air conditioner working condition signal may include: the acceleration signal A5(t) of the active end of the compressor foot pad and the acceleration signal A6(t) of the passive end.

Wherein, the acceleration signal of the active end of the compressor foot pad can be obtained through the acceleration sensor arranged at the active end of the compressor foot pad, and the acceleration signal of the passive end of the foot pad can be obtained through the acceleration sensor arranged at the passive end of the compressor foot pad.

Step S102: performing Fourier transform on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end respectively.

In this step, Fourier transform is carried out to the acceleration signal A5(t) at the active end of the compressor foot pad and the acceleration signal at the passive end of A6(t) to obtain A5(f), A6(f);

Step S103: Based on the acceleration signal of the active end of the foot pad of the compressor and the acceleration signal of the passive end after Fourier transform, the actual vibration attenuation of the foot pad of the compressor is obtained;

In this step, it is specifically used to adopt the formula ηt=[A5max(fi)-A6max(fi)]/A5max(fi ) Calculate the actual vibration attenuation ηt of the signal of the active end of the compressor foot pad and the signal of the passive end acceleration sensor, wherein, A5max (fi) is used to represent the amplitude of the A5 position point under the i-order resonance frequency, and the A5 refers to The active end of the air-conditioning compressor foot pad; A6max(fi) is used to represent the amplitude of the A6 position point under the i-th order resonance frequency, and the A6 refers to the passive end of the air-conditioning compressor foot pad;

Step S104: Obtain the simulated vibration attenuation value output by the simulation model based on the acceleration detection points at the active end and the passive end of the compressor foot pad.

The simulation model is used to calculate the vibration attenuation corresponding to the i-th order resonance frequency, which is recorded as the simulation vibration attenuation. Specifically, the simulation model is used to pass the formula ηs=[a5max(fi)-a6max(fi)] /a5max(fi) to calculate the simulated attenuation, where a5 and a6 in the formula are the position points of the simulation analysis model corresponding to the acceleration sensor at the active end and the passive end of the compressor foot pad, and a5max(fi) is used to represent the i The amplitude of the a5 position point at the first order resonance frequency, and a6max(fi) is used to represent the amplitude value of the a6 position point at the ith order resonance frequency.

Step S105: Comparing the actual vibration attenuation amount with the simulated vibration attenuation amount, and calculating an error rate between the actual vibration attenuation amount and the simulated vibration attenuation amount.

In this step, the calculated actual vibration attenuation is compared with the simulated vibration attenuation calculated in the simulation model, and an error rate between the actual vibration attenuation and the simulated vibration attenuation is calculated.

Step S106: When the error rate is within the preset error range and the actual vibration attenuation is lower than the preset attenuation threshold, calculate the Spectrum of external loads received by compressor foot pads.

In this step, when the error rate is within the preset error range (for example, within 10%), and the attenuation is lower than 30%, it is determined that the material performance of the foot pad is degraded, and there is a risk of fatigue damage.

Through the acceleration of the active and passive ends of the foot pad, the built-in algorithm of the MCU controller is used to obtain the external load spectrum received by the foot pad. The built-in algorithm formula is: F(f)*H(f)=X(f) , where F(f) is the excitation force, H(f) is the frequency response function of the system, and X(f) is the acceleration of the main and passive ends;

Step S107: Using a preset fatigue analysis model to perform risk analysis on the compressor foot pad based on the external load spectrum, and output the analysis result.

After obtaining the external load spectrum corresponding to the active and passive ends of the foot pad, based on the vibration/fatigue analysis script, the CAE fatigue analysis of the foot pad is performed. If the calculation and analysis results are risky, the MCU controller system will be sold to the manufacturer. Send early warning information to the user and replace the foot pad in time. If there is no risk, no early warning will be issued, thus realizing the early warning of the working condition of the compressor.

In the technical solution disclosed in another embodiment of the present application, it is also possible to judge whether there is a risk of fracture in the compressor pipeline. When judging whether there is a risk of fracture in the compressor pipeline, it is necessary to use the acceleration signal at the position of the air outlet of the compressor, the compression The acceleration signal of the position of the machine pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the acceleration signal of the installation point of the external machine support. Therefore, the working condition signal may also include the above-mentioned several acceleration signals. Specifically, the acceleration signal at the air outlet position of the compressor is obtained through an acceleration sensor arranged at the air outlet of the compressor, and the position of the compressor pipeline close to the compressor is obtained through an acceleration sensor arranged at a position close to the compressor pipeline. Acceleration signal, the acceleration signal of the position of the compressor pipeline close to the evaporator is obtained through the acceleration sensor set at the position of the compressor pipeline close to the evaporator, and the acceleration signal of the position of the external machine support is obtained through the acceleration sensor set at the installation point of the external machine support Point position acceleration signal.

At this point, referring to Figure 2, the above method also includes:

Step S201: Perform Fourier transformation on the acceleration signal of the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the acceleration signal of the position of the mounting point of the external machine support .

In this step, for the acceleration signal A1(t) of the air outlet position of the compressor, the acceleration signal A2(t) of the position of the compressor pipeline close to the compressor, and the acceleration signal A3(t) of the position of the compressor pipeline close to the evaporator ( t), when the acceleration signal A4(t) at the installation point of the external machine bracket is subjected to Fourier transform, it can be specifically Fourier transformed by using a spectrum analyzer to obtain the corresponding signals: A1(f), A2(f ), A3(f), A4(f).

Step S202: Based on the acceleration signal of the position of the air outlet of the compressor after the Fourier transformation, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the acceleration signal of the position of the mounting point of the external machine support, The vibration exciter installed at the position of the pipeline close to the evaporator, the acceleration signal to the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the external The frequency response function curves of the sensors corresponding to the acceleration signal at the installation point of the machine bracket under each transmission path.

This step is used to calculate the frequency response function curve FRF under each transmission path between the exciter and the above-mentioned acceleration sensor. This process can be realized by calling the signal data of each sensor by the spectrum analyzer, wherein the excitation The vibrator is a miniature vibrator, and the miniature vibrator works when the vehicle is turned off and the compressor is not working, and the miniature vibrator is installed at the position where the compressor pipeline is close to the evaporator.

Step S203: Obtain the frequency and amplitude of the frequency response function curve at time n and m, and when the rate of change of the frequency and amplitude at time n and m are both greater than the preset value, the output is used to characterize the frequency response There is a warning message that the pipeline corresponding to the function curve has a risk of breaking.

In this step, after each frequency response function curve is obtained, each frequency response function curve is analyzed. If the frequency response function curve is at t=n time and t=m time, the amplitude corresponding to the same resonance frequency fi When the value is more than 10% offset, it is determined that the pipeline corresponding to the frequency response function curve has a risk of rupture, and the numerical results of other sensors are used for comprehensive analysis after the vehicle is driven.

In the technical solution disclosed in another embodiment of the present application, it is also possible to judge whether there is a risk in the compressor by analyzing the force of the compressor. At this time, the working condition signal used also includes: the inclination signal of the compressor and the Rotation angle signal; Wherein, the inclination signal of the compressor and the compressor rotation angle signal can be obtained through an inclination sensor and a rotational speed sensor installed at the bottom of the compressor.

Referring to Figure 3, this solution may also include:

Step S301: Using the compressor's inclination signal and compressor rotation angle signal as input signals of a CAE simulation model, calculate a combined pair of force and moment matching the compressor's inclination angle signal and compressor rotation angle signal.

An inclination signal T(t) and a rotational angle signal R(t) of the compressor measured by the compressor inclination sensor and the compressor rotational angle sensor are acquired. Combined with the CAE simulation model, calculate the combination of several different forces and moments when the corresponding inclination angle T(t) and rotation angle R(t) occurs in the compressor piping system, that is, the combination of several different forces and moments is After being added to the compressor, the compressor can be made to generate corresponding tilt angle signal T(t) and rotation angle signal R(t).

For example, substituting the response results T(t) and R(t) into the formula F(t)*H(t)=X(t), where the formula corresponding to the T(t) and R(t) can be obtained The external excitation matrix, wherein, the F(t) is the external excitation matrix, H(t) is the system matrix, X(t) is a response matrix composed of T(t) and R(t), and F(t) Combination results {F, M} of several forces and moments can be obtained for the external excitation matrix.

Step S302: acquiring the actual strain signal at the target position;

Obtain the actual strain signal at the target position. The strain gauge is installed at the elbow position of the compressor piping system to be monitored. The number of strain data can be set based on user needs. For example, the strain signal is set at the compressor target The strain data S1(t), S2(t), S3(t), and S4(t) collected by the strain gauges set at the position.

Step S303: comparing the actual strain signal with the simulated strain result, and determining the magnitude and direction of the force and moment received by the target position based on the comparison result.

Before this step, obtain the air conditioner CAE simulation model based on the CAD geometric model, apply {F, M} to the air conditioner CAE simulation model, and then perform strength calculation and analysis through a special finite element solver to obtain the air conditioner strain simulation analysis results .

Comparing S1(t), S2(t), S3(t), S4(t) with the simulation analysis results, determine the magnitude and direction {F1, M1} of the load that makes the simulation model produce the same strain effect. Apply the combined results of force and moment {F, M} above on the CAE simulation model to perform static calculations to obtain different strain results, and compare them with S1(t), S2(t), S3(t), S4( t) Carry out consistency verification, select a set of loads with the highest consistency as {F1, M1}, and the combination of this force is the magnitude and direction of the force and moment on the compressor piping system.

Step S304: Obtain the force signal and torque signal of the compressor;

The force signal and torque signal are obtained by the force and torque sensor installed at the internal bearing position of the compressor, through which the force signal F(t) and torque signal M(t) of different working states of the compressor can be measured.

Step S305: Based on the magnitude and direction of the force and moment and the force signal and moment signal of the compressor, determine the relative magnitude of the compressor's own excitation force and the external vehicle transmission force received by the compressor pipeline system.

In this step, the magnitude and direction of the force and moment determined in step S303, and the force signal and moment signal determined in step S304 are known, and the sum of the two can be calculated to obtain the compressor pressure on the compressor piping system. The relative size of self-motivating force and external vehicle transmission force.

Step S306: Use the simulation model to judge whether there is a risk of fracture of the compressor pipeline based on the relative magnitude of the compressor's own excitation force and the external vehicle transmission force received by the compressor pipeline system, and output the judgment result.

In this step, after determining the relative size of the compressor's own excitation force and the external vehicle transmission force received by the compressor pipeline system, these data are used as the input data of the preset script, and the preset script can be The open source solver can also be a commercial solver. The solver can obtain the stress result based on the compressor’s own excitation force and the external vehicle transmission force received by the compressor piping system, and then calculate and solve based on the S-N curve of the compressor material. Prediction of fatigue life of air conditioning pipelines.

Corresponding to the above method in this embodiment, the present application also discloses an air conditioner compressor risk warning device. For the specific work content of each unit, please refer to the content of the above method embodiment.

The air conditioner compressor risk early warning device provided by the embodiment of the present invention is described below, and the air conditioner compressor risk early warning device described below and the air conditioner compressor risk early warning method described above may refer to each other correspondingly.

Referring to Figure 4, the air conditioner compressor risk warning device disclosed in the embodiment of the present application may include:

The working condition data acquisition unit 100 is used to acquire the air conditioner working condition signal, and the air conditioner working condition signal includes: the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end;

The compressor foot pad risk assessment unit 200 is used to perform Fourier transform on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end respectively; based on the acceleration of the active end of the compressor foot pad after Fourier transform signal and the acceleration signal of the passive end to obtain the actual vibration attenuation of the compressor foot pad; obtain the simulated vibration attenuation based on the acceleration detection point output of the simulation model based on the active end of the compressor foot pad and the passive end; the actual vibration The attenuation is compared with the simulated vibration attenuation, and the error rate between the actual vibration attenuation and the simulated vibration attenuation is calculated; when the error rate is within the preset error range, and the actual vibration attenuation When it is lower than the preset attenuation threshold, the external load spectrum received by the compressor foot pad is calculated based on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end; the preset fatigue analysis model is used based on the external load Spectrum, risk analysis is performed on the compressor foot pad, and the analysis result is output.

Corresponding to the above method, the working condition signal acquired by the working condition data acquisition unit also includes: the acceleration signal of the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator Signal, acceleration signal of the installation point of the external machine support;

The device also includes:

The first pipeline risk prediction unit 300 is used for the acceleration signal of the air outlet position of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the installation point of the external machine support Fourier transformation of the position acceleration signal;

Corresponding to the above method, the working condition signal acquired by the working condition data acquisition unit also includes: the inclination signal of the compressor and the rotation angle signal of the compressor;

The device also includes: a second pipeline risk prediction unit 400, which is used to use the inclination signal of the compressor and the compressor rotation angle signal as the input signal of the CAE simulation model, and calculate and obtain the inclination signal and the compressor rotation angle of the compressor. The signal matches the combination of force and moment to the

Obtain the actual strain signal of the target position;

Obtain the force signal and torque signal of the compressor;

Corresponding to the above device, see Figure 5, the present application also discloses an air conditioner compressor early warning system, see Figure 5, the system includes:

Sensor set A, the sensor set has a plurality of sensors for collecting air conditioner working condition signals, such as the above-mentioned inclination sensor, rotation angle sensor, acceleration sensor, force and moment sensor, vibrator, strain gauge, etc., The air conditioner working condition signal includes: the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end;

A data processor B, the data processor B may be composed of an MCU controller system and a spectrum analyzer, and is used to execute each step of the air conditioner compressor early warning method disclosed in the embodiment of the present application, for example, to monitor the compressor The acceleration signal of the active end of the foot pad and the acceleration signal of the passive end are respectively subjected to Fourier transform; based on the acceleration signal of the active end of the foot pad of the compressor after the Fourier transform and the acceleration signal of the passive end, the actual value of the foot pad of the compressor is obtained. Vibration attenuation; obtain the simulated vibration attenuation output of the simulation model based on the acceleration detection points of the active end and the passive end of the compressor foot pad; compare the actual vibration attenuation with the simulated vibration attenuation, and calculate the The error rate between the actual vibration attenuation and the simulated vibration attenuation; when the error rate is within the preset error range and the actual vibration attenuation is lower than the preset attenuation threshold, based on the compressor foot pad active The acceleration signal at the end and the acceleration signal at the passive end calculate the external load spectrum received by the compressor foot pad; use the preset fatigue analysis model based on the external load spectrum to carry out risk analysis on the compressor foot pad, and output analysis results;

The simulation module C has a built-in CAE simulation model for performing simulation operations based on the acquired input data, and the simulation module C may also have a built-in vibration/fatigue analysis script.

For the convenience of description, when describing the above system, the functions are divided into various modules and described separately. Of course, when implementing the present invention, the functions of each module can be implemented in one or more pieces of software and/or hardware.

Each embodiment in this specification is described in a progressive manner, the same and similar parts of each embodiment can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment. The systems and system embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is It can be located in one place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without creative effort.

Professionals can further realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software or a combination of the two. In order to clearly illustrate the possible For interchangeability, in the above description, the composition and steps of each example have been generally described according to their functions. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

The steps of the methods or algorithms described in connection with the embodiments disclosed herein may be directly implemented by hardware, software modules executed by a processor, or a combination of both. Software modules can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other Any other known storage medium.

It should also be noted that in this article, relational terms such as first and second etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations Any such actual relationship or order exists between. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

An early warning method for an air conditioner compressor, characterized in that it includes:

Acquire the air conditioner working condition signal, the air conditioner working condition signal includes: the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end;

Carry out Fourier transform respectively to the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end;

Based on the acceleration signal at the active end of the foot pad of the compressor and the acceleration signal at the passive end after Fourier transform, the actual vibration attenuation of the foot pad of the compressor is obtained;

Acquiring the simulated vibration attenuation output of the simulation model based on the acceleration detection points of the active end and the passive end of the compressor foot pad;

Comparing the actual vibration attenuation with the simulated vibration attenuation, calculating the error rate between the actual vibration attenuation and the simulated vibration attenuation;

When the error rate is within the preset error range and the actual vibration attenuation is lower than the preset attenuation threshold, the compressor foot is calculated based on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end. The external load spectrum received by the pad;

The preset fatigue analysis model is used to analyze the risk of the compressor foot pad based on the external load spectrum, and an analysis result is output.
The air conditioner compressor early warning method according to claim 1, wherein the working condition signal further includes: an acceleration signal of the position of the air outlet of the compressor, an acceleration signal of the position of the compressor pipeline close to the compressor, and an acceleration signal of the position of the compressor pipeline. Acceleration signal near the evaporator, acceleration signal at the installation point of the external machine support;

The method also includes: performing Fourier transform on the acceleration signal of the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the acceleration signal of the position of the mounting point of the external machine support. Variety;

Based on the acceleration signal of the air outlet position of the compressor after Fourier transformation, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the acceleration signal of the installation point of the external machine support, the installation The vibration exciter at the position of the pipeline close to the evaporator, the acceleration signal to the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the installation of the external machine bracket The sensor corresponding to the point position acceleration signal, the frequency response function curve under each transmission path between;

Obtain the frequency and amplitude of the frequency response function curve at time n and m, and when the rate of change of the frequency and amplitude at time n and m are greater than the preset value, the output is used to represent the corresponding frequency response function curve There is a warning message that there is a risk of rupture of the pipeline.
The air conditioner compressor early warning method according to claim 1, wherein the working condition signal further includes: a compressor tilt angle signal and a compressor rotation angle signal;

The method also includes, using the inclination signal of the compressor and the compressor rotation angle signal as the input signal of the CAE simulation model, and calculating a combined pair of forces and moments that match the inclination signal of the compressor and the compressor rotation angle signal;

Obtain the actual strain signal of the target position;

Comparing the actual strain signal with the simulated strain result, and determining the magnitude and direction of the force and moment received by the target position based on the comparison result;

Obtain the force signal and torque signal of the compressor;

Based on the magnitude and direction of the force and moment and the force signal and moment signal of the compressor, determine the relative magnitude of the compressor's own excitation force and the external vehicle transmission force received by the compressor pipeline system;

The simulation model is used to determine whether there is a risk of fracture of the compressor pipeline based on the relative size of the compressor's own excitation force received by the compressor pipeline system and the external vehicle transmission force, and output the judgment result.
The air conditioner compressor early warning method according to claim 1, further comprising:

The acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end are acquired through the acceleration sensor arranged at the active end of the compressor foot pad and the acceleration sensor arranged at the passive end of the compressor foot pad.
The air conditioner compressor early warning method according to claim 2, further comprising: an acceleration sensor arranged at the air outlet of the compressor, an acceleration sensor arranged at the position of the compressor pipeline close to the compressor, and an acceleration sensor arranged at the position of the compressor The acceleration sensor at the position where the machine pipeline is close to the evaporator, and the acceleration sensor installed at the installation point of the external machine bracket, respectively obtain the acceleration signal at the air outlet of the compressor, the acceleration signal at the position where the compressor pipeline is close to the compressor, and the acceleration signal at the position where the compressor pipeline is close to the compressor. Acceleration signal of evaporator position, acceleration signal of installation point of external machine support.
The air conditioner compressor early warning method according to claim 3, further comprising:

The inclination angle signal and the compressor rotation angle signal of the compressor are respectively measured by the inclination angle sensor and the rotational speed sensor installed at the bottom of the compressor.
An air conditioner compressor risk warning device, characterized in that it includes:

The working condition data acquisition unit is used to acquire the air conditioner working condition signal, and the air conditioner working condition signal includes: the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end;

The compressor foot pad risk assessment unit is used to perform Fourier transform on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end respectively; based on the acceleration signal of the active end of the compressor foot pad after Fourier transform and the acceleration signal of the passive end to obtain the actual vibration attenuation amount of the compressor foot pad; obtain the simulated vibration attenuation amount output by the simulation model based on the acceleration detection point output of the active end of the compressor foot pad and the passive end; the actual vibration attenuation The amount is compared with the simulated vibration attenuation amount, and the error rate between the actual vibration attenuation amount and the simulated vibration attenuation amount is calculated; when the error rate is within the preset error range, and the actual vibration attenuation amount is low When the attenuation threshold is preset, the external load spectrum received by the compressor foot pad is calculated based on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end; the preset fatigue analysis model is used based on the external load spectrum , performing a risk analysis on the compressor foot pad, and outputting an analysis result.
The air conditioner compressor risk warning device according to claim 7, characterized in that the working condition signal acquired by the working condition data acquisition unit also includes: the acceleration signal of the position of the air outlet of the compressor, the position of the compressor pipeline close to the compressor Position acceleration signal, position acceleration signal of the compressor pipeline close to the evaporator, position acceleration signal of the mounting point of the external machine support;

The device also includes:

The first pipeline risk prediction unit is used for the acceleration signal of the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the position of the installation point of the external machine support Accelerate the signal for Fourier transformation;

Based on the acceleration signal of the air outlet position of the compressor after Fourier transformation, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the acceleration signal of the installation point of the external machine support, the installation The vibration exciter at the position of the pipeline close to the evaporator, the acceleration signal to the position of the air outlet of the compressor, the acceleration signal of the position of the compressor pipeline close to the compressor, the acceleration signal of the position of the compressor pipeline close to the evaporator, and the installation of the external machine bracket The sensor corresponding to the point position acceleration signal, the frequency response function curve under each transmission path between; obtain the frequency and amplitude of the frequency response function curve at n time and m time, when the frequency and amplitude of the n time and m time When the rate of change of the values is greater than the preset value, a prompt message indicating the risk of rupture of the pipeline corresponding to the frequency response function curve is output.
The air conditioner compressor risk warning device according to claim 7, characterized in that, the working condition signal acquired by the working condition data acquisition unit further includes: a compressor tilt angle signal and a compressor rotation angle signal;

The device also includes: a second pipeline risk prediction unit, which is used to use the inclination signal of the compressor and the compressor rotation angle signal as the input signal of the CAE simulation model, and calculate and obtain the inclination signal and the compressor rotation angle signal of the compressor Combination pairs of matched forces and moments

Combined with the CAE simulation model to calculate the corresponding inclination and rotation angle of the compressor piping system, it can be calculated that when the compressor piping system produces the corresponding inclination and rotation angle, the combination of several different forces and moments will affect the

Obtaining the simulation strain results corresponding to the combination of the force and moment;

Obtain the actual strain signal of the target position;

Comparing the actual strain signal with the simulated strain result, and determining the magnitude and direction of the force and moment received by the target position based on the comparison result;

Obtain the force signal and torque signal of the compressor;

Based on the magnitude and direction of the force and moment and the force signal and moment signal of the compressor, determine the relative magnitude of the compressor's own excitation force and the external vehicle transmission force received by the compressor pipeline system;

The simulation model is used to determine whether there is a risk of fracture of the compressor pipeline based on the relative size of the compressor's own excitation force received by the compressor pipeline system and the external vehicle transmission force, and output the judgment result.
An air conditioner compressor early warning system is characterized in that it includes:

A sensor set, the sensor set has a plurality of sensors for collecting the air conditioner working condition signal, and the air conditioner working condition signal includes: the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end;

The data processor is used to perform Fourier transform on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end respectively; based on the acceleration signal of the active end of the compressor foot pad after the Fourier transform and the acceleration of the passive end signal to obtain the actual vibration attenuation of the compressor foot pad; obtain the simulated vibration attenuation output of the simulation model based on the acceleration detection points of the active end and the passive end of the compressor foot pad; compare the actual vibration attenuation with the Comparing the simulated vibration attenuation, calculating the error rate between the actual vibration attenuation and the simulated vibration attenuation; when the error rate is within the preset error range, and the actual vibration attenuation is lower than the preset attenuation When the threshold is reached, the external load spectrum received by the compressor foot pad is calculated based on the acceleration signal of the active end of the compressor foot pad and the acceleration signal of the passive end; the preset fatigue analysis model is used to calculate the external load spectrum based on the external load spectrum. The compressor foot pad conducts risk analysis and outputs the analysis results;

A simulation module, the simulation module has a built-in simulation model for performing simulation operations based on the acquired input data.