CN117349574B - Information interaction method, information interaction device and intelligent refrigerator - Google Patents
Information interaction method, information interaction device and intelligent refrigerator Download PDFInfo
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Abstract
The application provides an information interaction method, an information interaction device and an intelligent refrigerator, in the information interaction method, after a refrigerator receives a self-checking interaction instruction, a vibration signal sequence during operation of a compressor is collected, energy entropy base conversion is carried out on the vibration signal sequence, a vibration energy entropy base is obtained, a vibration energy cross entropy core is determined according to the vibration energy entropy base, an acoustic wave energy cross entropy core and a voltage energy cross entropy core during operation of the refrigerator compressor are obtained, phase-change acoustic vibration self-interference quantity is determined according to the vibration energy cross entropy core, the acoustic wave energy cross entropy core and the voltage energy cross entropy core, when the phase-change acoustic vibration self-interference quantity is lower than a preset threshold value, the phase-change acoustic vibration core distance is determined according to the phase-change acoustic vibration self-interference quantity, further, the turbulence loss degree of a refrigerant is determined, the refrigerator power is controlled by the turbulence loss degree of the refrigerant, refrigerator fault information is sent to a user, the refrigerator is prevented from being reduced by leakage of a refrigerant of the compressor during operation of the refrigerator, and therefore the operation stability of the refrigerator is improved.
Description
Technical Field
The present disclosure relates to the field of information interaction technologies, and in particular, to an information interaction method, an information interaction device, and an intelligent refrigerator.
Background
Information interaction refers to the process of information transmission and communication between different main bodies, in the process of information interaction, information can be transmitted in various forms, including images, characters, symbols and the like, and the information interaction is an important way for communication and interaction between people and machines and between machines in modern equipment, wherein the information interaction in a refrigerator mainly refers to the function of converting the refrigerator into intelligent equipment through a modern intelligent technology, and the intelligent equipment can communicate with users or other equipment, collect data, provide services and the like.
In the prior art, a traditional refrigerator of a closed refrigeration system is often adopted, refrigerant is not basically in contact with the outside in the circulation process, leaked refrigerant cannot naturally emit indoors, leakage positions are not easy to find, a special sensor for detecting leakage of the refrigerant is manufactured to have certain technical difficulty, when the refrigerant of a refrigerator compressor leaks, the refrigerant is difficult to be perceived to the outside through information interaction, the refrigerating capacity of the refrigerator is easy to be reduced, and the operation of the refrigerator is unstable.
Disclosure of Invention
The application provides an information interaction method for solving the technical problem that when the refrigerant of a refrigerator compressor leaks, the refrigerant is difficult to perceive to the outside through information interaction, and the refrigerator is unstable in operation.
The application adopts the following technical scheme to solve the technical problems:
in a first aspect, the present application provides an information interaction method, which may be performed by a network device, or may also be performed by a chip configured in the network device, which is not limited in this application.
Specifically, the method comprises the following steps:
after the refrigerator receives a self-checking interaction instruction sent by a user, acquiring a vibration signal sequence of the refrigerator compressor during working;
performing energy entropy base conversion on the vibration signal sequence to obtain a vibration energy entropy base, and determining a vibration energy cross entropy core according to the vibration energy entropy base;
acquiring an acoustic wave energy cross entropy core and a voltage energy cross entropy core when the refrigerator compressor works;
determining phase change acoustic vibration self-disturbance quantity according to the vibration energy cross entropy core, the acoustic energy cross entropy core and the voltage energy cross entropy core;
when the phase change acoustic vibration self-disturbance quantity is lower than a preset threshold value, determining a phase change acoustic vibration center distance according to the phase change acoustic vibration self-disturbance quantity;
and determining the turbulence loss degree of the refrigerant according to the phase-change sound vibration center distance and the sound wave energy entropy base, controlling the power of the refrigerator by the turbulence loss degree of the refrigerant, and sending refrigerator fault information to a user.
With reference to the first aspect, in some implementation manners of the first aspect, performing energy entropy base conversion on the vibration signal sequence to obtain a vibration energy entropy base specifically includes:
performing sequence fitting on the vibration signal sequence to obtain a vibration track curve;
and performing energy entropy base conversion on the vibration signal sequence according to the vibration track curve to obtain a vibration energy entropy base.
With reference to the first aspect, in some implementation manners of the first aspect, performing energy entropy base conversion on the vibration signal sequence according to the vibration track curve, to obtain a vibration energy entropy base specifically includes:
obtaining vibration track curve；
Obtaining the vibration signal median of the vibration signal sequenceAnd standard deviation of vibration signal->；
Acquiring the sequence length of the vibration signal sequenceThe sequence length is the detection time of the vibration signal sequence obtained by the detection of the sensor;
according to the vibration track curveVibration signal median of vibration signal sequence +.>And standard deviation of vibration signal->Sequence length of vibration signal sequence +.>Determination of the vibration energy entropy>The vibration energy entropy baseDetermined according to the following formula:
wherein,differentiating the time variable of the vibration track curve.
With reference to the first aspect, in some implementations of the first aspect, a polynomial interpolation method is used to perform a sequence fitting on the vibration signal sequence to obtain a vibration track curve.
With reference to the first aspect, in certain implementation manners of the first aspect, acquiring a sound wave energy cross entropy core and a voltage energy cross entropy core during operation of the refrigerator compressor specifically includes:
acquiring an acoustic wave signal sequence when the refrigerator compressor works;
acquiring the acoustic wave energy entropy base;
performing entropy kernel extraction according to each sound wave amplitude value in the sound wave signal sequence and the sound wave energy entropy base to obtain sound wave energy cross entropy kernels;
acquiring a voltage signal sequence of a refrigerator compressor during working;
acquiring the voltage energy entropy base;
and performing entropy kernel extraction according to each voltage amplitude value in the voltage signal sequence and the voltage energy entropy base to obtain a voltage energy cross entropy kernel.
With reference to the first aspect, in certain implementation manners of the first aspect, determining the phase-change acoustic vibration self-disturbance variable according to the vibration energy cross entropy core, the acoustic wave energy cross entropy core and the voltage energy cross entropy core specifically includes:
determining the phase change acoustic vibration self-disturbance quantity according to the vibration energy cross entropy core, the acoustic wave energy cross entropy core and the voltage energy cross entropy core comprises:
Obtaining a vibration energy entropy baseAcoustic wave energy entropy base->And voltage energy entropy base->；
Determining a vibration self-entropy core according to the vibration energy cross entropy core, the sound wave energy cross entropy core and the voltage energy cross entropy coreAcoustic wave self-entropy kernel->And voltage self-entropy kernel->；
Determining a vibration voltage correlation entropy core according to the vibration energy cross entropy core, the sound wave energy cross entropy core and the voltage energy cross entropy coreVibration sound wave associated entropy kernel>And voltage soundWave-associated entropy kernel->；
Entropy base according to the vibration energyAcoustic wave energy entropy base->Entropy of voltage energy>Vibration self-entropy kernel->Acoustic wave self-entropy kernel->And voltage self-entropy kernel->Vibration voltage-dependent entropy kernel>Vibration sound wave associated entropy kernel>Entropy kernel associated with voltage sound wave>Determining the phase change acoustic vibration self-disturbance quantity, wherein the phase change acoustic vibration self-disturbance quantity is determined according to the following formula:
wherein,for the phase-change acoustic vibration self-disturbance quantity, < >>For the vibrationThe length of the independent variable interval of the energy entropy base is the same as that of the independent variable intervals of the sound wave energy entropy base and the voltage energy entropy base, and the independent variable interval is +.>Is a time argument>Is the differentiation of the time independent variable.
With reference to the first aspect, in certain implementation manners of the first aspect, an acceleration sensor located on a surface of the refrigerator compressor is used to collect vibration signals of the refrigerator compressor when the refrigerator compressor is in operation, so as to obtain a vibration signal sequence.
In a second aspect, the present application provides an information interaction device, including:
the vibration signal sequence acquisition module is used for acquiring a vibration signal sequence of the refrigerator compressor when the refrigerator compressor works after receiving a self-checking interaction instruction sent by a user;
the vibration energy cross entropy core determining module is used for converting the energy entropy base of the vibration signal sequence to obtain a vibration energy entropy base, and determining a vibration energy cross entropy core according to the vibration energy entropy base;
the sound wave voltage cross entropy core acquisition module is used for acquiring a sound wave energy cross entropy core and a voltage energy cross entropy core when the refrigerator compressor works;
the phase change acoustic vibration self-disturbance quantity determining module is used for determining phase change acoustic vibration self-disturbance quantity according to the vibration energy cross entropy core, the acoustic energy cross entropy core and the voltage energy cross entropy core;
the phase change acoustic vibration center distance determining module is used for determining a phase change acoustic vibration center distance according to the phase change acoustic vibration self-disturbance quantity when the phase change acoustic vibration self-disturbance quantity is lower than a preset threshold value;
and the refrigerator control module is used for determining the turbulence loss degree of the refrigerant according to the phase-change sound vibration center distance and the sound wave energy entropy base, controlling the refrigerator power by the turbulence loss degree of the refrigerant and sending refrigerator fault information to a user.
In a third aspect, the present application provides an intelligent refrigerator, where the execution part of the intelligent refrigerator includes the information interaction device.
In a fourth aspect, the present application provides a computer terminal device, the computer terminal device including a memory storing code and a processor configured to obtain the code and perform the above-described information interaction method.
In a fifth aspect, the present application provides a computer readable storage medium storing at least one computer program loaded and executed by a processor to implement the operations performed by the information interaction method described above.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
according to the information interaction method, the information interaction device and the intelligent refrigerator, after the refrigerator receives a self-checking interaction instruction sent by a user, a vibration signal sequence of the refrigerator compressor during operation is collected, energy entropy base conversion is conducted on the vibration signal sequence, vibration energy entropy base is obtained, vibration energy cross entropy cores are determined according to the vibration energy entropy base, sound wave energy cross entropy cores and voltage energy cross entropy cores of the refrigerator compressor during operation are obtained, phase-change sound vibration self-interference quantity is determined according to the vibration energy cross entropy cores, the sound wave energy cross entropy cores and the voltage energy cross entropy cores, when the phase-change sound vibration self-interference quantity is lower than a preset threshold value, phase-change sound vibration core distance is determined according to the phase-change sound vibration self-interference quantity, refrigerant turbulence loss degree is determined according to the phase-change sound vibration core distance and the sound wave energy entropy base, refrigerator power is controlled by the refrigerant turbulence loss degree, refrigerator fault information is sent to the user, refrigerator refrigerating capacity reduction caused by leakage of a compressor refrigerant during operation of the refrigerator is avoided, and therefore operation stability of the refrigerator is improved.
Drawings
FIG. 1 is an exemplary flow chart of a method of information interaction shown in accordance with some embodiments of the present application;
FIG. 2 is a schematic diagram of exemplary hardware and/or software of an information interaction device shown in accordance with some embodiments of the present application;
fig. 3 is a schematic structural diagram of a computer terminal device to which the information interaction method is applied according to some embodiments of the present application.
Detailed Description
According to the information interaction method, the information interaction device and the intelligent refrigerator, after the refrigerator receives a self-checking interaction instruction sent by a user, a vibration signal sequence of the refrigerator compressor during operation is collected, energy entropy base conversion is conducted on the vibration signal sequence, vibration energy entropy base is obtained, vibration energy cross entropy cores are determined according to the vibration energy entropy base, sound wave energy cross entropy cores and voltage energy cross entropy cores of the refrigerator compressor during operation are obtained, phase-change sound vibration self-interference quantity is determined according to the vibration energy cross entropy cores, the sound wave energy cross entropy cores and the voltage energy cross entropy cores, when the phase-change sound vibration self-interference quantity is lower than a preset threshold value, phase-change sound vibration core distance is determined according to the phase-change sound vibration self-interference quantity, refrigerant turbulence loss degree is determined according to the phase-change sound vibration core distance and the sound wave energy entropy base, refrigerator power is controlled by the refrigerant turbulence loss degree, refrigerator fault information is sent to the user, refrigerator refrigerating capacity reduction caused by leakage of a compressor refrigerant during operation of the refrigerator is avoided, and therefore operation stability of the refrigerator is improved.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments. Referring to fig. 1, which is an exemplary flowchart of an information interaction method according to some embodiments of the present application, the information interaction method 100 mainly includes the following steps:
in step S101, after the refrigerator receives a self-checking interaction instruction sent by a user, a vibration signal sequence of the refrigerator compressor during working is collected.
In some embodiments of the present application, a user periodically inputs a self-checking interaction instruction to a refrigerator through a preset program, where the self-checking interaction instruction needs to be described, where the self-checking interaction instruction may be input by the refrigerator user through a touch screen on a surface of the refrigerator, and the self-checking interaction instruction is used to start self-checking of the refrigerator.
In some embodiments, after the refrigerator receives the self-checking interaction instruction, the method may further include, after acquiring the vibration signal sequence when the refrigerator compressor works, acquiring the vibration signal sequence, where the method specifically includes: and acquiring sound wave signals of the refrigerator compressor during operation to obtain a sound wave signal sequence, and acquiring voltage signals at two ends of the refrigerator compressor during operation to obtain a voltage signal sequence.
In some embodiments, an acceleration sensor located on the surface of the refrigerator compressor may be used to collect vibration amplitude values of the refrigerator compressor during operation at equal time intervals, so as to obtain a vibration signal sequence, and in specific implementation, other types of sensors or devices may also be used to collect vibration signals of the refrigerator compressor during operation, which is not limited herein.
In some embodiments, a sound sensor may be used to collect sound pressure values of sound wave signals when the refrigerator compressor works at equal time intervals, so as to obtain a sound wave signal sequence, and in specific implementation, other types of sensors or devices may also be used to collect sound wave signals when the refrigerator compressor works, which is not limited herein.
In some embodiments, a voltage sensor may be used to collect voltage values at two ends of the refrigerator compressor during operation at equal time intervals, so as to obtain a voltage signal sequence, and in specific implementation, other types of sensors or devices may also be used to collect voltage signals of the refrigerator compressor during operation, which is not limited herein.
It should be noted that, the vibration signal sequence, the sound wave signal sequence and the voltage signal sequence are all signal sequences acquired in the same time period, so as to facilitate the determination of the subsequent phase-change sound vibration self-disturbance quantity, the acquisition intervals of the vibration signal, the sound wave signal and the voltage signal are consistent, and the acquisition frequency of the sensor is not lower than 100 hertz.
In step S102, an energy entropy base is converted for the vibration signal sequence, so as to obtain a vibration energy entropy base, and a vibration energy cross entropy core is determined according to the vibration energy entropy base.
In some embodiments, the energy entropy base conversion is performed on the vibration signal sequence, and the obtaining of the vibration energy entropy base can be specifically achieved by the following steps:
performing sequence fitting on the vibration signal sequence to obtain a vibration track curve;
and performing energy entropy base conversion on the vibration signal sequence according to the vibration track curve to obtain a vibration energy entropy base.
In specific implementation, a polynomial interpolation method may be used to perform sequence fitting on the vibration signal sequence, the sound wave signal sequence, and the voltage signal sequence to obtain a vibration track curve, a sound wave track curve, and a voltage track curve, where the polynomial interpolation method is a commonly used numerical interpolation method, and is used to fit these data through a polynomial under a given set of data points, so as to obtain a fitted curve, and it is to be noted that a lagrangian interpolation method may be used to construct a fitting polynomial of the vibration signal data points, so as to obtain the vibration track curve, and in some other embodiments, other methods that may implement sequence fitting may also be used to obtain the vibration track curve, which is not limited herein.
Preferably, in some embodiments, the energy entropy base conversion is performed on the vibration signal sequence according to the vibration track curve, and the obtaining of the vibration energy entropy base may specifically be implemented by the following steps:
acquiring the vibration track curve；
Obtaining the vibration signal median of the vibration signal sequenceAnd standard deviation of vibration signal->；
Acquiring the sequence length of the vibration signal sequenceThe sequence length is the detection time of the vibration signal sequence obtained by the detection of the sensor;
according to the vibration track curveVibration signal median of vibration signal sequence +.>And standard deviation of vibration signal->Sequence length of vibration signal sequence +.>Determination of the vibration energy entropy>The vibration energy entropy baseDetermined according to the following formula:
wherein,differentiating the time variable of the vibration track curve.
Preferably, in some embodiments, the energy entropy base conversion of the vibration signal sequence may further include: the method comprises the steps of performing energy entropy base conversion on an acoustic wave signal sequence to obtain an acoustic wave energy entropy base, performing energy entropy base conversion on a voltage signal sequence to obtain a voltage energy entropy base, wherein the acoustic wave energy entropy base and the voltage energy entropy base can be obtained in the same mode as that of obtaining the vibration energy entropy base, for example, when the method is concretely implemented, performing energy entropy base conversion on the voltage signal sequence to obtain the voltage energy entropy base can be concretely implemented by the following steps:
Determining a voltage track curve according to the voltage signal sequence;
acquiring a voltage signal median and a voltage signal standard deviation of a voltage signal sequence;
acquiring the sequence length of the voltage signal sequence;
and determining a voltage energy entropy base according to the voltage track curve, the voltage signal average value of the voltage signal sequence and the sequence length of the voltage signal sequence.
The energy entropy base conversion is carried out on the sound wave signal sequence, and the sound wave energy entropy base can be obtained by the following steps:
determining an acoustic wave track curve according to the acoustic wave signal sequence;
acquiring the median of acoustic signals and the standard deviation of the acoustic signals of the acoustic signal sequence;
acquiring the sequence length of an acoustic wave signal sequence;
and determining the acoustic wave energy entropy base according to the acoustic wave track curve, the acoustic wave signal average value of the acoustic wave signal sequence and the sequence length of the acoustic wave signal sequence.
The vibration energy entropy base, the sound wave energy entropy base and the voltage energy entropy base are entropy functions according to time variation, the entropy functions are signal energy entropy values obtained after the signal frequency with the largest energy in the original signal is removed, so that dominant signal frequency is obtained, the entropy functions are adopted to replace the original signal, dimensionalization can be achieved, contrast between the signals is increased, frequency variation characteristics in a signal sequence can be clearer, and the subsequent phase-change sound vibration self-interference quantity determination is facilitated.
In some embodiments, determining the vibration energy cross entropy kernel based on the vibration energy entropy base may be implemented by:
acquiring each vibration amplitude value in a vibration signal sequence;
obtaining the vibration energy entropy base；
Based on the vibration amplitude values and the vibration energy entropy base in the vibration signal sequenceExtracting entropy kernels to obtain cross entropy kernels of vibration energy, wherein the cross entropy kernels of vibration energy are obtainedThe cross entropy kernel is determined according to the following equation:
wherein,for the cross entropy core of the vibration energy, +.>Is the scale argument of entropy kernel, +.>For the +.>Amplitude value of vibration, < >>For the number of vibration amplitude values in the vibration signal sequence,/->For the average value of the vibration amplitude values in the vibration signal sequence, +.>Time independent variable of the vibration energy entropy base, +.>For the length of the argument interval of the vibration energy entropy base, < > for>As an exponential function based on natural logarithms, < ->Is imaginary unit, ++>Is a natural circumference ratio.
In step S103, a sound wave energy cross entropy core and a voltage energy cross entropy core are obtained when the refrigerator compressor works.
Optionally, in some embodiments, the acquiring the acoustic wave energy cross entropy core and the voltage energy cross entropy core during the working of the refrigerator compressor may specifically be implemented by the following steps:
Acquiring each sound wave amplitude value in a sound wave signal sequence;
acquiring the acoustic wave energy entropy base;
performing entropy kernel extraction according to each sound wave amplitude value in the sound wave signal sequence and the sound wave energy entropy base to obtain sound wave energy cross entropy kernels;
in addition, each voltage amplitude value in the voltage signal sequence is obtained;
acquiring the voltage energy entropy base;
and performing entropy kernel extraction according to each voltage amplitude value in the voltage signal sequence and the voltage energy entropy base to obtain a voltage energy cross entropy kernel.
Optionally, in a specific implementation, the same manner of performing entropy kernel extraction on the vibration energy entropy base may be used to perform entropy kernel extraction on the sound wave energy entropy base and the voltage energy entropy base respectively, so as to obtain a corresponding sound wave energy cross entropy kernel and a voltage energy cross entropy kernel, which are not described herein again.
The vibration energy cross entropy kernel, the sound wave energy cross entropy kernel and the voltage energy cross entropy kernel are complex entropy kernel functions which change along with scale independent variables, the scale independent variables are dimensionless independent variables in a calibration interval, and the vibration energy entropy base, the sound wave signal entropy base and the voltage signal entropy base are subjected to entropy kernel extraction, so that the complex cross characteristics of an acquired original signal sequence and a signal energy entropy base corresponding to the acquired original signal sequence can be converted into entropy kernels which change along with time, and the analysis of contrast between signals and the determination of the phase change sound vibration self-disturbance quantity are facilitated.
In step S104, a phase-change acoustic vibration self-disturbance quantity is determined according to the vibration energy cross entropy core, the acoustic energy cross entropy core and the voltage energy cross entropy core.
In some embodiments, determining the phase change acoustic vibration self-disturbance variable from the vibration energy cross entropy kernel, the acoustic energy cross entropy kernel, and the voltage energy cross entropy kernel may be implemented by:
obtaining a vibration energy entropy baseAcoustic wave energy entropy base->And voltage energy entropy base->；
Determining a vibration self-entropy core according to the vibration energy cross entropy core, the sound energy cross entropy core and the voltage energy cross entropy coreAcoustic wave self-entropy kernel->And voltage self-entropy kernel->；
Determining a vibration voltage correlation entropy core according to the vibration energy cross entropy core, the sound energy cross entropy core and the voltage energy cross entropy coreVibration sound wave associated entropy kernel>Entropy kernel associated with voltage sound wave>；
Entropy base according to the vibration energyAcoustic wave energy entropy base->Entropy of voltage energy>Vibration self-entropy kernel->Acoustic wave self-entropy kernel->And voltage self-entropy kernel->Vibration voltage-dependent entropy kernel>Vibration sound wave associated entropy kernel>Entropy kernel associated with voltage sound wave>Determining the phase change acoustic vibration self-disturbance quantity, wherein the phase change acoustic vibration self-disturbance quantity is determined according to the following formula:
Wherein,for the phase-change acoustic vibration self-disturbance quantity, < >>The independent variable interval length of the vibration energy entropy base is the same as the independent variable interval lengths of the sound wave energy entropy base and the voltage energy entropy base, +.>Is a time argument>Is the differentiation of the time independent variable.
Optionally, in some embodiments, determining the vibration self-entropy core, the sound wave self-entropy core and the voltage self-entropy core according to the vibration energy cross-entropy core, the sound wave energy cross-entropy core and the voltage energy cross-entropy core may specifically be implemented by the following steps:
acquiring a vibration energy cross entropy core, a sound wave energy cross entropy core and a voltage energy cross entropy core;
determining a vibration self-entropy core according to the complex conjugate of the vibration energy cross entropy core and the vibration energy cross entropy core; determining an acoustic wave self-entropy core according to the acoustic wave energy cross entropy core and the negative conjugate of the acoustic wave energy cross entropy core; and determining a voltage self-entropy core according to the negative conjugate of the voltage energy cross entropy core and the voltage energy cross entropy core.
In specific implementation, a product of the vibration energy cross entropy core and the negative conjugate of the vibration energy cross entropy core can be used as a vibration self entropy core; taking the product of the negative conjugate of the sound wave energy cross entropy core and the sound wave energy cross entropy core as a sound wave self-entropy core, and taking the product of the negative conjugate of the voltage energy cross entropy core and the voltage energy cross entropy core as a voltage self-entropy core.
Optionally, in some embodiments, determining the vibration voltage-related entropy kernel, the vibration sound wave-related entropy kernel, and the voltage sound wave-related entropy kernel according to the vibration energy cross entropy kernel, the sound wave energy cross entropy kernel, and the voltage energy cross entropy kernel may specifically be implemented by the following steps:
acquiring a vibration energy cross entropy core, a sound wave energy cross entropy core and a voltage energy cross entropy core;
determining a vibration voltage correlation entropy core according to the complex conjugate of the vibration energy cross entropy core and the voltage energy cross entropy core; determining a vibration sound wave association entropy core according to the negative conjugate of the vibration energy cross entropy core and the sound wave energy cross entropy core; and determining a voltage sound wave association entropy core according to the negative conjugate of the sound wave energy cross entropy core and the voltage energy cross entropy core.
In specific implementation, the product of the vibration energy cross entropy kernel and the negative conjugate of the voltage energy cross entropy kernel can be used as a vibration voltage correlation entropy kernel; and taking the product of the vibration energy cross entropy core and the negative conjugate of the sound wave energy cross entropy core as a vibration sound wave associated entropy core, and taking the product of the sound wave energy cross entropy core and the negative conjugate of the voltage energy cross entropy core as a voltage sound wave associated entropy core.
The vibration energy cross entropy core, the sound wave energy cross entropy core and the voltage energy cross entropy core are complex functions, the change conditions of different signal energy entropy bases on a complex domain are respectively represented, and negative conjugation means that the imaginary part of the complex function takes a negative value, the real part of the complex function is kept unchanged, and the negative conjugation of the complex function can be obtained and comprises conjugation information of the complex function.
The self-entropy kernel reflects the self-correlation degree of the energy cross entropy kernel, and the correlation entropy kernel reflects the correlation influence degree of the signal energy value distribution of one signal in the corresponding two signal cross entropy kernels on the signal energy value of the other signal.
In step S105, when the phase-change acoustic vibration self-disturbance quantity is lower than a preset threshold, determining a phase-change acoustic vibration center distance according to the phase-change acoustic vibration self-disturbance quantity.
It should be noted that, the phase-change acoustic vibration self-disturbance quantity is a complex value and reflects the mutual influence degree of signal energy entropy base distribution of sound waves, vibration and voltage on a complex domain when the compressor works, the phase-change acoustic vibration self-disturbance quantity can be used for evaluating the working state of the compressor, the compressor needs to convert voltage energy into mechanical energy to compress refrigerant in the working process, vibration and refrigerant pulsation noise of the compressor can be induced in the energy conversion process, the energy conversion process periodically circulates along with the gas-liquid phase change of the refrigerant in the refrigerator operation process, therefore, the phase-change acoustic vibration self-disturbance quantity is maintained in a higher range, when the phase-change acoustic vibration self-disturbance quantity is lower than a preset threshold value, the working condition of the compressor is abnormal, the refrigerant in the compressor can have leakage condition, the turbulence loss degree of the refrigerant needs to be determined according to the sound wave energy base and the phase-change acoustic vibration self-disturbance quantity, the power of the refrigerator is increased according to the turbulence loss degree of the refrigerant, and the environment in the refrigerator is prevented from being damaged by the refrigeration environment in the refrigerator.
In specific implementation, the preset threshold has a real part threshold and an imaginary part threshold, the real part of the phase-change acoustic vibration self-disturbance quantity is lower than the real part threshold or the imaginary part is lower than the imaginary part threshold, the refrigerant turbulence loss degree is required to be determined according to the acoustic wave energy entropy base and the phase-change acoustic vibration self-disturbance quantity, and the refrigerator power is controlled to be increased according to the refrigerant turbulence loss degree.
Optionally, in some embodiments, when the phase-change acoustic vibration self-disturbance is higher than a preset threshold, the refrigerator power is maintained and the refrigerator self-checking normal information is sent to the user.
In some embodiments, the phase change acoustic vibration center distance is a euclidean distance of the phase change acoustic vibration self-disturbance variable distance from an origin of a complex domain, and in a specific implementation, a modulus value of the phase change acoustic vibration self-disturbance variable may also be used as the phase change acoustic vibration center distance.
In step S106, determining a refrigerant turbulence loss degree according to the phase-change acoustic center distance and the acoustic energy entropy base, controlling the refrigerator power by the refrigerant turbulence loss degree, and sending refrigerator fault information to a user.
Optionally, in some embodiments, determining the refrigerant turbulence loss according to the phase change acoustic vibration center distance and the acoustic energy entropy base may specifically be implemented by the following steps:
Obtaining phase change acoustic vibration center distance；
Obtaining a standard air pressure value of the intelligent refrigerator compressor；
Obtaining an average value of the acoustic wave energy entropy base；
According to the phase change acoustic vibration center distanceAverage value of the entropy base of the acoustic wave energy +.>Standard air pressure value of said intelligent refrigerator compressor +.>Determining a degree of refrigerant turbulence loss, wherein the degree of refrigerant turbulence loss is determined by:
wherein,for the degree of turbulence loss of the refrigerant->Is the unit area of the refrigerant leakage aperture, +.>Is the standard atmospheric pressure value, +.>Is an exponential function based on natural logarithms.
The method is characterized in that the acoustic wave energy entropy base is an acoustic wave signal entropy function after information energy fundamental frequency signals are removed, the information energy fundamental frequency signals are signal frequencies with maximum energy in the acoustic wave signal sequence and dominant, the information energy fundamental frequency signals in the acoustic wave signal sequence contain compressor mechanical noise and electromagnetic noise with larger energy, after the information energy fundamental frequency signals are filtered, acoustic wave characteristics of refrigerant pulsation in the obtained acoustic wave energy entropy base are more obvious, therefore, the loss speed of turbulence formed by the refrigerant at the current moment to the outside of the compressor can be judged according to the acoustic wave characteristics of the refrigerant pulsation, namely, the turbulence loss degree of the refrigerant is determined by the turbulence loss function according to the acoustic wave energy entropy base, and the turbulence loss degree of the refrigerant is the loss speed of leakage of the turbulence formed by the refrigerant at the current moment to the outside of the compressor.
The greater the turbulence loss degree of the refrigerant is, the greater the leakage amount of the refrigerant in the intelligent refrigerator in unit time is, and the refrigerant is a key component part in the refrigeration cycle of the refrigerator, so that the refrigeration cycle is realized through the compression and expansion processes in the compressor, when the refrigerant in the compressor leaks, the refrigerant amount in the system is reduced, the refrigerating capacity generated by one refrigeration cycle is reduced, the worse the refrigerating effect of the air conditioner under the same power is, the power of the compressor of the refrigerator is required to be improved according to the turbulence loss degree of the refrigerant, and meanwhile, the refrigerator fault information is required to be sent to the outside of the refrigerator, so that the refrigeration environment in the refrigerator is prevented from being damaged, the spoilage and deterioration of foods in the refrigerator are avoided, and the user experience of a user of the refrigerator is influenced.
In particular, the refrigerator fault information can be sent to a user through a display screen on the surface of the refrigerator.
Alternatively, in some embodiments, a first-order integrating circuit may be used to control the power of the refrigerator, where the first-order integrating circuit may be formed by a capacitor and a resistor, and the output signal of the first-order integrating circuit will change over time and be proportional to the integral value of the input signal, where in specific implementation, the degree of turbulence loss of the refrigerant may be converted into an electrical signal, and then the electrical signal is used as the input signal of the first-order integrating circuit, and the output signal of the first-order integrating circuit is used as a power control signal, where the power control signal adjusts the power output of the refrigerator by controlling the operation time and the operation frequency of the compressor of the refrigerator, so as to implement dynamic power adjustment, and make the refrigerator provide a larger refrigeration power when the degree of turbulence loss of the refrigerant is larger, so as to maintain a stable refrigeration effect.
Additionally, in another aspect of the present application, in some embodiments, the present application provides an information interaction device, referring to fig. 2, which is a schematic diagram of exemplary hardware and/or software of the information interaction device shown in accordance with some embodiments of the present application, the information interaction device 200 includes: the vibration signal sequence acquisition module 201, the vibration energy cross entropy core determination module 202, the sound wave voltage cross entropy core acquisition module 203, the phase change sound vibration self-disturbance variable determination module 204, the phase change sound vibration center distance determination module 205 and the refrigerator control module 206 are respectively described as follows:
the vibration signal sequence acquisition module 201, in some specific embodiments of the present application, the vibration signal sequence acquisition module 201 is mainly configured to collect a vibration signal sequence when the refrigerator compressor works after the refrigerator receives a self-checking interaction instruction sent by a user;
the vibration energy cross entropy core determining module 202, in some specific embodiments of the present application, the vibration energy cross entropy core determining module 202 is mainly configured to perform energy entropy base conversion on the vibration signal sequence, obtain a vibration energy entropy base, and determine a vibration energy cross entropy core according to the vibration energy entropy base;
the sound wave voltage cross entropy core acquiring module 203, in some specific embodiments of the present application, the sound wave voltage cross entropy core acquiring module 203 is mainly configured to acquire a sound wave energy cross entropy core and a voltage energy cross entropy core when the refrigerator compressor works;
The phase change acoustic vibration self-disturbance variable determining module 204, in some specific embodiments of the present application, the phase change acoustic vibration self-disturbance variable determining module 204 is mainly configured to determine a phase change acoustic vibration self-disturbance variable according to the vibration energy cross entropy core, the acoustic wave energy cross entropy core and the voltage energy cross entropy core;
the phase change acoustic vibration center distance determining module 205, in some specific embodiments of the present application, the phase change acoustic vibration center distance determining module 205 is configured to determine a phase change acoustic vibration center distance according to the phase change acoustic vibration self-disturbance variable when the phase change acoustic vibration self-disturbance variable is lower than a preset threshold;
the refrigerator control module 206, in some specific embodiments of the present application, the refrigerator control module 206 is mainly configured to determine a refrigerant turbulence loss degree according to the phase change acoustic vibration center distance and the acoustic energy entropy base, control the refrigerator power according to the refrigerant turbulence loss degree, and send refrigerator fault information to a user.
In addition, the application also provides a computer terminal device, which comprises a memory and a processor, wherein the memory stores codes, and the processor is configured to acquire the codes and execute the information interaction method.
In some embodiments, reference is made to fig. 3, which is a schematic structural diagram of a computer terminal device according to the application information interaction method shown in some embodiments of the present application. The information interaction method in the above embodiment may be implemented by a computer terminal device shown in fig. 3, which includes at least one communication bus 301, a communication interface 302, a processor 303, and a memory 304.
The processor 303 may be a general purpose central processing unit (central processing unit, CPU), application Specific Integrated Circuit (ASIC) or one or more of the information interaction methods used in controlling the execution of the present application.
Communication bus 301 may include a pathway to transfer information between the aforementioned components.
Memory 304 may be, but is not limited to, read-only Memory (ROM) or other type of static storage device that can store static information and instructions, random access Memory (random access Memory, RAM) or other type of dynamic storage device that can store information and instructions, but may also be electrically erasable programmable read-only Memory (EEPROM), compact disc read-only Memory (compact disc read-only Memory) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 304 may be stand alone and be coupled to the processor 303 via the communication bus 301. Memory 304 may also be integrated with processor 303.
The memory 304 is used for storing program codes for executing the embodiments of the present application, and the processor 303 controls the execution. The processor 303 is arranged to execute program code stored in the memory 304. One or more software modules may be included in the program code. The determination of the phase change acoustic vibration self-disturbance variable in the above embodiment may be implemented by one or more software modules in the processor 303 and the program code in the memory 304.
The communication interface 302 uses any transceiver-like device for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.
Optionally, the computer terminal device 300 may further include a power supply 305 for providing power to various devices or circuits in the real-time computer terminal device.
In a specific implementation, as an embodiment, the computer terminal device may include a plurality of processors, where each of the processors may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The computer terminal device may be a general purpose computer terminal device or a special purpose computer terminal device. In a specific implementation, the computer terminal device may be a desktop, a laptop, a web server, a palmtop (personal digital assistant, PDA), a mobile handset, a tablet, a wireless terminal device, a communication device, or an embedded device. The embodiment of the application is not limited to the type of the computer terminal equipment.
In addition, in other aspects of the present application, there is provided a computer readable storage medium storing at least one computer program loaded and executed by a processor to implement operations performed by the above-described information interaction method.
In summary, in the information interaction method, the information interaction device and the intelligent refrigerator disclosed by the embodiment of the application, after the refrigerator receives a self-checking interaction instruction sent by a user, a vibration signal sequence of the refrigerator compressor during operation is collected, energy entropy base conversion is carried out on the vibration signal sequence to obtain a vibration energy entropy base, a vibration energy cross entropy core is determined according to the vibration energy entropy base, an acoustic wave energy cross entropy core and a voltage energy cross entropy core of the refrigerator compressor during operation are obtained, phase-change sound vibration self-interference quantity is determined according to the vibration energy cross entropy core, the acoustic wave energy cross entropy core and the voltage energy cross entropy core, when the phase-change sound vibration self-interference quantity is lower than a preset threshold value, the phase-change sound vibration core distance is determined according to the phase-change sound vibration self-interference quantity, the refrigerant turbulence loss degree is determined according to the phase-change sound vibration core distance and the acoustic wave energy entropy base, the refrigerator power is controlled by the refrigerant turbulence loss degree, and refrigerator fault information is sent to the user, so that the refrigerator operation stability is improved due to the fact that the refrigerator is reduced due to the leakage of the compressor refrigerant during operation of the refrigerator is avoided.
The foregoing is merely exemplary embodiments of the present application, and detailed technical solutions or features that are well known in the art have not been described in detail herein. It should be noted that, for those skilled in the art, several variations and modifications can be made without departing from the technical solution of the present application, and these should also be regarded as the protection scope of the present application, which does not affect the effect of the implementation of the present application and the practical applicability of the patent.
The scope of the claims should be determined by the terms of the claims, and the description is intended to be construed as including the terms of the claims, as would be understood by those skilled in the art without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (6)
1. An information interaction method, comprising:
after the refrigerator receives a self-checking interaction instruction sent by a user, acquiring a vibration signal sequence of the refrigerator compressor during working;
performing energy entropy base conversion on the vibration signal sequence to obtain a vibration energy entropy base, and determining a vibration energy cross entropy core according to the vibration energy entropy base;
Acquiring an acoustic wave energy cross entropy core and a voltage energy cross entropy core when the refrigerator compressor works;
determining phase change acoustic vibration self-disturbance quantity according to the vibration energy cross entropy core, the acoustic energy cross entropy core and the voltage energy cross entropy core;
when the phase change acoustic vibration self-disturbance quantity is lower than a preset threshold value, determining a phase change acoustic vibration center distance according to the phase change acoustic vibration self-disturbance quantity, wherein the phase change acoustic vibration center distance is the Euclidean distance of the phase change acoustic vibration self-disturbance quantity from the origin of a complex domain;
determining the turbulence loss degree of the refrigerant according to the phase-change acoustic vibration center distance and the acoustic energy entropy base, controlling the power of the refrigerator by the turbulence loss degree of the refrigerant, and sending refrigerator fault information to a user;
the energy entropy base conversion is performed on the vibration signal sequence, and the obtained vibration energy entropy base specifically comprises the following steps:
performing sequence fitting on the vibration signal sequence to obtain a vibration track curve;
performing energy entropy base conversion on the vibration signal sequence according to the vibration track curve to obtain a vibration energy entropy base;
the method for obtaining the vibration energy entropy base specifically comprises the following steps of:
Obtaining vibration track curve；
Obtaining the vibration signal median of the vibration signal sequenceAnd standard deviation of vibration signal->；
Acquiring the sequence length of the vibration signal sequenceThe sequence length is the detection time of the vibration signal sequence obtained by the detection of the sensor;
according to the vibration track curveVibration signal median of vibration signal sequence +.>And standard deviation of vibration signalSequence length of vibration signal sequence +.>Determination of the vibration energy entropy>Said vibration energy entropy base->Determined according to the following formula:
；
wherein,differentiating a time variable of the vibration track curve;
the method for acquiring the sound wave energy cross entropy core and the voltage energy cross entropy core of the refrigerator compressor during working specifically comprises the following steps:
acquiring an acoustic wave signal sequence when the refrigerator compressor works;
obtaining an acoustic wave energy entropy base according to the acoustic wave signal sequence;
performing entropy kernel extraction according to each sound wave amplitude value in the sound wave signal sequence and the sound wave energy entropy base to obtain sound wave energy cross entropy kernels;
acquiring a voltage signal sequence of a refrigerator compressor during working;
obtaining a voltage energy entropy base according to the voltage signal sequence;
performing entropy kernel extraction according to each voltage amplitude value in the voltage signal sequence and the voltage energy entropy base to obtain a voltage energy cross entropy kernel;
Determining phase change acoustic vibration self-disturbance variables according to the vibration energy cross entropy core, the acoustic energy cross entropy core and the voltage energy cross entropy core specifically comprises:
obtaining a vibration energy entropy baseAcoustic wave energy entropy base->And voltage energy entropy base->；
Determining a vibration self-entropy core according to the vibration energy cross entropy core, the sound wave energy cross entropy core and the voltage energy cross entropy coreAcoustic wave self-entropy kernel->And voltage self-entropy kernel->；
Determining a vibration voltage correlation entropy core according to the vibration energy cross entropy core, the sound wave energy cross entropy core and the voltage energy cross entropy coreVibration sound wave associated entropy kernel>Entropy kernel associated with voltage sound wave>；
Entropy base according to the vibration energyAcoustic wave energy entropy base->Entropy of voltage energy>Self-entropy core of vibrationAcoustic wave self-entropy kernel->And voltage self-entropy kernel->Vibration voltage-dependent entropy kernel>Vibration sound wave associated entropy kernel>Entropy kernel associated with voltage sound wave>Determining the phase change acoustic vibration self-disturbance quantity, wherein the phase change acoustic vibration self-disturbance quantity is determined according to the following formula:
；
wherein,for the phase-change acoustic vibration self-disturbance quantity, < >>The independent variable interval length of the vibration energy entropy base is the same as the independent variable interval lengths of the sound wave energy entropy base and the voltage energy entropy base, +. >Is a time argument>Differentiation as a time argument;
the determining the vibration energy cross entropy core according to the vibration energy entropy base specifically comprises the following steps:
acquiring each vibration amplitude value in a vibration signal sequence;
obtaining the vibration energy entropy base；
Based on the vibration amplitude values and the vibration energy entropy base in the vibration signal sequenceExtracting entropy kernels to obtain vibration energy cross entropy kernels, wherein the vibration energy cross entropy kernels are determined according to the following formula:
；
wherein,for the cross entropy core of the vibration energy, +.>Is the scale argument of entropy kernel, +.>For the +.>Amplitude value of vibration, < >>For the number of vibration amplitude values in the vibration signal sequence,/->For the average value of the vibration amplitude values in the vibration signal sequence, +.>Time independent variable of the vibration energy entropy base, +.>For the length of the argument interval of the vibration energy entropy base, < > for>As an exponential function based on natural logarithms, < ->Is imaginary unit, ++>Is a natural circumference ratio;
the method for determining the refrigerant turbulence loss degree according to the phase change acoustic vibration center distance and the acoustic wave energy entropy base specifically comprises the following steps:
obtaining phase change acoustic vibration center distance；
Obtaining a standard air pressure value of the refrigerator compressor ；
Obtaining an average value of the acoustic wave energy entropy base；
According to the phase change acoustic vibration center distanceAverage value of the entropy base of the acoustic wave energy +.>Standard air pressure value of said refrigerator compressor +.>Determining a degree of refrigerant turbulence loss, wherein the degree of refrigerant turbulence loss is determined by:
；
wherein,for the degree of turbulence loss of the refrigerant->Is the unit area of the refrigerant leakage aperture, +.>Is the standard atmospheric pressure value, +.>Is an exponential function based on natural logarithms.
2. The method of claim 1, wherein the vibration signal sequence is sequence fitted using polynomial interpolation to obtain a vibration trajectory curve.
3. The method of claim 1, wherein the vibration signal sequence is obtained by collecting vibration signals of the refrigerator compressor during operation with an acceleration sensor located on a surface of the refrigerator compressor.
4. An information interaction device for information interaction using the method of any one of claims 1 to 3, wherein the information interaction device comprises:
the vibration signal sequence acquisition module is used for acquiring a vibration signal sequence of the refrigerator compressor when the refrigerator compressor works after receiving a self-checking interaction instruction sent by a user;
The vibration energy cross entropy core determining module is used for converting the energy entropy base of the vibration signal sequence to obtain a vibration energy entropy base, and determining a vibration energy cross entropy core according to the vibration energy entropy base;
the sound wave voltage cross entropy core acquisition module is used for acquiring a sound wave energy cross entropy core and a voltage energy cross entropy core when the refrigerator compressor works;
the phase change acoustic vibration self-disturbance quantity determining module is used for determining phase change acoustic vibration self-disturbance quantity according to the vibration energy cross entropy core, the acoustic energy cross entropy core and the voltage energy cross entropy core;
the phase change acoustic vibration center distance determining module is used for determining a phase change acoustic vibration center distance according to the phase change acoustic vibration self-disturbance quantity when the phase change acoustic vibration self-disturbance quantity is lower than a preset threshold value;
and the refrigerator control module is used for determining the turbulence loss degree of the refrigerant according to the phase-change sound vibration center distance and the sound wave energy entropy base, controlling the refrigerator power by the turbulence loss degree of the refrigerant and sending refrigerator fault information to a user.
5. An intelligent refrigerator, characterized in that the intelligent refrigerator comprises the information interaction device of claim 4.
6. A computer readable storage medium storing at least one computer program, wherein the computer program is loaded and executed by a processor to implement the operations performed by the information interaction method of any of claims 1 to 3.
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| CN115574922A (en) * | 2022-09-07 | 2023-01-06 | 西北农林科技大学 | Hydroelectric generating set vibration signal noise reduction method and system based on cross entropy |
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| CN115574922A (en) * | 2022-09-07 | 2023-01-06 | 西北农林科技大学 | Hydroelectric generating set vibration signal noise reduction method and system based on cross entropy |
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