CN113719465B - Compressor performance detection method and device, computer equipment and storage medium - Google Patents
Compressor performance detection method and device, computer equipment and storage medium Download PDFInfo
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- CN113719465B CN113719465B CN202111002174.8A CN202111002174A CN113719465B CN 113719465 B CN113719465 B CN 113719465B CN 202111002174 A CN202111002174 A CN 202111002174A CN 113719465 B CN113719465 B CN 113719465B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
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Abstract
The invention discloses a compressor performance detection method, a compressor performance detection device, computer equipment and a storage medium. Wherein the method comprises the following steps: acquiring at least one group of vibration data information acquired by a displacement sensor in a set time period relative to a compressor to be tested; determining the actual working rotation speed and vibration performance data of the compressor to be tested relative to each vibration data message; and determining the performance detection result of the compressor to be detected through the actual working rotation speed and the vibration performance data. According to the embodiment of the invention, the vibration data information of the compressor in the working state is acquired by adopting the non-contact displacement sensor, and then the performance of the compressor is detected based on the acquired vibration data information, so that the simple and effective evaluation of the working performance of the compressor is realized, the method can be executed in any environment, and the method has wider practicability.
Description
Technical Field
The embodiment of the invention relates to the technical field of quality detection, in particular to a method and a device for detecting flaws of a compressor, computer equipment and a storage medium.
Background
In complex industrial working environments, compressors are required to exhibit good performance as an important auxiliary device. Therefore, for manufacturers, performance detection needs to be performed on the compressor before the compressor leaves the factory, so as to ensure the quality of the compressor leaves the factory and reduce the market flow of defective products.
For the detection of the performance of the compressor, the existing detection methods are as follows: 1) The performance index of the compressor is detected by adopting special contact performance detection equipment, but for the compressor with high precision requirement, the detection mode is easy to damage some precision devices on the compressor in the detection process; 2) In the other detection mode, the bearing and the impeller are taken as important components of the compressor, so that a damage model is built for the bearing and the impeller, and the performance of the compressor is determined through the processing analysis of the damage model; 3) There are also some ways based on sound detection, but these ways have high requirements on the detection environment, requiring the compressor to be detected to be placed in a special environment, which is also of weak usability.
Disclosure of Invention
The invention provides a method, a device, computer equipment and a storage medium for detecting the performance of a compressor, so as to realize simple and effective evaluation of the working performance of the compressor.
In a first aspect, an embodiment of the present invention provides a method for detecting performance of a compressor, including:
acquiring at least one group of vibration data information acquired by a displacement sensor in a set time period relative to a compressor to be tested;
determining the actual working rotation speed and vibration performance data of the compressor to be tested relative to each vibration data message;
and determining the performance detection result of the compressor to be detected through the actual working rotation speed and the vibration performance data.
In a second aspect, an embodiment of the present invention further provides a compressor performance detection apparatus, including:
the information acquisition module is used for acquiring at least one group of vibration data information acquired by the displacement sensor in a set time length relative to the compressor to be tested;
the information determining module is used for determining the actual working rotation speed and vibration performance data of the compressor to be tested relative to the vibration data information;
and the detection result determining module is used for determining the performance detection result of the compressor to be detected through the actual working rotation speed and the vibration performance data.
In a third aspect, an embodiment of the present invention further provides a computer apparatus, including:
one or more of the processors of the present invention,
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the compressor performance detection method as described in the first aspect above.
In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the compressor performance detection method according to the first aspect described above.
According to the technical scheme provided by the embodiment of the invention, the actual working rotation speed and vibration performance data of the compressor to be tested relative to each vibration data information are determined by acquiring at least one group of vibration data information acquired by the displacement sensor relative to the compressor to be tested within a set time period, and then the performance detection result of the compressor to be tested is determined according to the obtained actual working rotation speed and vibration performance data. According to the technical scheme, the displacement sensor is adopted to collect vibration data information during the working of the compressor in a non-contact mode, so that effective evaluation of the working performance of the compressor is realized based on the collected vibration data information, and compared with the existing contact type evaluation mode, the adopted non-contact mode effectively avoids damage to a precision device on the compressor in the evaluation process; meanwhile, compared with the existing damage model with complex construction, the method can obtain effective evaluation results only by analyzing and processing the acquired vibration data information; in addition, the technical scheme of the embodiment can be executed in any environment, does not need to limit the evaluation environment specifically, and has wider practicability. By the method provided by the embodiment, the performance evaluation of the compressor can be simply and effectively realized, so that the detection cost of the performance detection of the compressor is reduced.
Drawings
FIG. 1 is a flow chart of a method for detecting performance of a compressor according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a method for detecting performance of a compressor according to a second embodiment of the present invention;
FIG. 3 is a block diagram of a compressor performance inspection apparatus according to a third embodiment of the present invention;
fig. 4 is a block diagram of a computer device according to a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flowchart of a method for detecting performance of a compressor according to an embodiment of the present invention, where the method may be performed by a device for detecting performance of a compressor, the device may be implemented in software and/or hardware, and the device may be configured in a computer device.
The method specifically comprises the following steps:
s101, acquiring at least one group of vibration data information acquired by the displacement sensor in a set time period relative to the compressor to be tested.
The displacement sensor can be used for measuring the vibration position value of an object to be measured in vibration in operation in a non-contact manner, has high resolution of 0.01 percent, high linearity of 0.1 percent, high response of 9.4KHz, high anti-interference capability, high protection level of IP67 and synchronous performance, can be used for measuring a position which is difficult to approach and a tiny structure, and is very convenient to operate. The compressor to be detected is the compressor waiting for detection performance, and the performance of the compressor can be detected by utilizing the displacement sensor through signal processing and reconstructing the vibration characteristic of the compressor. In general, the performance of a compressor is measured, mainly from a comparison of three aspects, weight, efficiency and noise.
It is known that the bearing and the impeller are important components of the compressor, and when the compressor is in an operating state, the bearing and the impeller disposed on the compressor rotate, thereby generating information about vibration displacement. The displacement sensor can collect vibration displacement information of the bearing and the impeller on the compressor when the compressor works, and the collected vibration displacement information can be directly used as vibration data information of the compressor; the vibration displacement information may be converted into voltage data by the displacement sensor based on an electrical signal of a circuit device included therein, and the voltage data may be used as a part of the vibration data information.
The displacement sensor may preferably be an infrared sensor, whereby it is obtained by measuring a preset surface on the compressor to be measured by means of emitted infrared light at a set sampling rate, wherein at least a set distance value is maintained between the preset surface and an edge or a notch on the compressor to be measured.
It can be known that the displacement sensor can acquire vibration data information of the compressor in a non-contact mode, a certain sampling rate is set through the emitted infrared rays, and a certain distance set value is carried out on the preset surface on the compressor to be measured and the edge or notch on the compressor to be measured, so that the acquired data accuracy is higher.
The sampling rate, also referred to as sampling frequency or sampling speed, refers to the number of samples extracted from a continuous signal in a unit time and constituting a discrete signal. Alternatively, the sampling rate may be set to 51200hz.
Optionally, the compressor may be operated at M rpm for 30 seconds before the vibration data information is acquired, then the vibration data information during operation of the compressor is acquired in a non-contact manner, the acquired vibration data information is limited in duration, multiple groups of vibration data information are acquired within a set duration, and the original data of the displacement sensor is recorded for 5 seconds.
Where M is the vibration constant and rpm is the vibration speed per minute.
S102, determining actual working rotation speed and vibration performance data of the compressor to be tested relative to each vibration data message;
the actual working rotating speed and the vibration performance data are at least one group, and each group of the actual working rotating speed and the vibration performance data correspond to each group of the vibration data information.
The actual working rotation speed is calculated by combining the inverse value of the time difference of each spectrum peak value with a given convolution network model to calculate the transient rotation speed. The method comprises the following steps: because the acquired vibration data information is in the time domain, for each group of vibration data information, fourier transformation is adopted to convert the vibration data information into frequency domain spectrum data, the time difference of each adjacent frequency spectrum peak value is obtained by sequencing each frequency spectrum peak value and the corresponding peak value generation time, and then the actual working rotating speed is obtained by combining the inverse value of each time difference with a given convolution network model to carry out transient rotating speed.
The vibration performance data was obtained by calculating the root mean square of the spectrum data. The method comprises the following steps: when the compressor is in a working state, a certain vibration signal is generated, corresponding vibration frequency can be obtained through the vibration signal, corresponding frequency spectrum data can be obtained according to the frequency of the vibration signal, root mean square calculation is carried out on the obtained frequency spectrum data, the calculation result is vibration performance data of the compressor to be tested, and then the obtained vibration performance data is compared with standard parameters, so that the performance of the compressor can be known.
S103, determining a performance detection result of the compressor to be detected through the actual working rotation speed and the vibration performance data.
The performance detection result may be a detection result obtained by comparing the actual working rotation speed with a given theoretical rotation speed range and comparing vibration performance data with a given standard performance parameter.
Alternatively, the following two ways of compressor performance detection may be considered:
1) When the compressor is in a working state, aiming at each group of vibration data information, whether the corresponding actual working rotating speed is in a given theoretical rotating speed range or not;
2) When the compressor is in operation, whether the vibration performance data is within a given standard performance parameter range.
For example, when the bearing and the impeller of the compressor are in the working state, for each set of vibration data information, the corresponding actual working rotation speed is within a given theoretical rotation speed range, and each vibration performance data is also within a given standard performance parameter range, the working performance of the compressor to be tested is considered to reach the standard, otherwise, as long as one set or one index data in the actual working rotation speed and each vibration performance data is not within the theoretical rotation speed range or the standard performance parameter range, the performance of the compressor can be considered to be defective.
According to the technical scheme, at least one group of vibration data information acquired by the displacement sensor relative to the compressor to be tested within a set time period is acquired, so that the actual working rotation speed and vibration performance data of the compressor to be tested relative to the vibration data information are determined, and then the performance detection result of the compressor to be tested is finally determined according to the actual working rotation speed and the vibration performance data. According to the technical scheme, vibration data information of the compressor in working is acquired by adopting a non-contact mode by adopting the displacement sensor, so that effective evaluation of the working performance of the compressor is realized based on the acquired vibration data information, and compared with the existing contact type evaluation mode, the damage to a precision device on the compressor in the evaluation process is effectively avoided by adopting the non-contact mode; meanwhile, compared with the existing damage model with complex construction, the method can obtain effective evaluation results only by analyzing and processing the acquired vibration data information; in addition, the technical scheme of the embodiment can be executed in any environment, does not need to limit the evaluation environment specifically, and has wider practicability. By the method provided by the embodiment, the performance evaluation of the compressor can be simply and effectively realized, so that the detection cost of the performance detection of the compressor is reduced.
Example two
Fig. 2 is a flowchart of a method for detecting performance of a compressor according to a second embodiment of the present invention, where the method is further refined based on the foregoing embodiments. Specifically, the method comprises the following steps:
s201, acquiring at least one group of vibration data information acquired by a displacement sensor in a set time period relative to a compressor to be tested;
alternatively, a plurality of sets of vibration data information during a certain period of time when the compressor is started may be acquired through S201.
Specifically, in this embodiment, the actual working rotation speed and vibration performance data of the compressor to be tested may be determined according to each set of vibration information collected within a set period of time and the obtained maximum actual frequency.
Specifically, S202 to S204:
s202, extracting compressor vibration voltage data in vibration data information aiming at each group of vibration data information;
the vibration voltage data of the compressor is generated when the compressor is in a working state, and the vibration related data information can be generated voltage signals, so that the vibration voltage data of the compressor of each group can be directly extracted from the vibration data information of each group. It will be appreciated that compressor vibration voltage data may be obtained by the displacement sensor through processing of the acquired vibration displacement information.
S203, determining the maximum actual frequency of the compressor to be tested in a frequency domain according to the vibration voltage data of the compressor;
wherein the frequency domain is a coordinate system used in describing the frequency-wise characteristics of the signal. The frequency domain and the time domain can be mutually converted, and the dynamic signal is transformed from the time domain to the frequency domain mainly through Fourier series and Fourier transformation. Because the compressor vibration voltage data is generated in the time domain, in order to obtain the maximum actual frequency of the compressor to be tested in the frequency domain, firstly, certain noise processing is carried out on the collected compressor vibration voltage data, then, fourier transformation is adopted to convert the processed compressor vibration voltage data into frequency spectrum data in the frequency domain, and the maximum frequency value in the frequency spectrum data at the moment is found out, namely the maximum actual frequency of the compressor to be tested in the frequency domain.
Further, the determining, according to the compressor vibration voltage data, the maximum actual frequency of the compressor to be measured in the frequency domain may include:
and a1, carrying out noise processing on the vibration voltage data of the compressor by adopting a noise band-pass filter to obtain effective voltage data.
b1, converting the effective voltage data into frequency domain spectrum data by adopting Fourier transformation.
c1, extracting the maximum frequency in the frequency spectrum data as the maximum actual frequency of the compressor to be tested in the frequency domain.
A band pass filter is a filter that passes frequency components in a certain frequency range but attenuates frequency components in other ranges to an extremely low level, and is a device that allows waves of a specific frequency band to pass while shielding other frequency bands. The noise band-pass filter is used for limiting noise of the band-pass filter, a frequency band is preset, only the preset frequency band is effectively reserved, and other frequency bands are regarded as noise frequencies. Optionally, the noise bandpass filter has an upper noise bandpass frequency limit and a lower noise bandpass frequency limit, and the noise bandpass filter may range from [100hz to 20khz ].
The frequency spectrum is short for frequency spectrum density, also called vibration spectrum, is a distribution curve of frequency, and the most basic physical quantity reflecting vibration phenomenon is frequency. Fourier transformation is a method of analyzing signals, which can analyze the components of the signals, and can use these components to synthesize the signals. By adopting Fourier transform, vibration voltage data acquired in a time domain can be effectively converted into related frequency spectrum data of a frequency domain.
S204, according to the maximum actual frequency and the given frequency spectrum, a band-pass filter is screened, and the actual working rotating speed and vibration performance data of the compressor to be tested are determined.
The spectrum screening band-pass filter is a limitation of spectrum screening by the band-pass filter. The frequency spectrum screening band-pass filter performs certain screening on the frequency to determine a certain limiting range.
Specifically, based on the obtained maximum actual frequency and the frequency limit range of the spectrum screening band-pass filter, spectrum data is obtained, the spectrum data at this time is divided into effective spectrum data and spread spectrum data, root mean square calculation is respectively carried out on the obtained spectrum data, and vibration performance data of the compressor to be tested can be obtained. And according to each spectrum peak value in the effective spectrum data and the corresponding peak value generation time, carrying out certain sequencing to obtain the time difference of each adjacent spectrum peak value at the moment, and carrying out transient rotation speed calculation by combining the inverse value of the time difference with a given convolution network model to obtain the actual working rotation speed of the compressor to be tested.
For example, the frequency limit range of the spectral screening bandpass filter may be [0.8 x var1-1.2 x var1], where var1 is the maximum actual frequency.
Further, the determining, according to the maximum actual frequency and in combination with a given spectrum screening bandpass filter, actual working rotation speed and vibration performance data of the compressor to be tested may include:
a2, respectively obtaining effective spectrum data and spread spectrum data based on the maximum actual frequency and a first frequency limiting range and a second frequency limiting range set in the spectrum screening band-pass filter.
b2, determining the actual working rotation speed of the compressor to be tested based on the effective frequency spectrum data.
And c2, performing root mean square calculation on the effective frequency data and the spread spectrum data respectively, and recording the obtained calculation results as first performance data and second performance data respectively, wherein the first performance data and the second performance data are taken as vibration performance data of the compressor to be tested.
Specifically, the determining, based on the effective spectrum data, the actual working rotation speed of the compressor to be tested may include:
extracting each spectrum peak value and corresponding peak value generation time in the effective spectrum data, and sequencing each spectrum peak value through each peak value generation time to form a peak value sequence;
determining the time difference of each adjacent spectrum peak value in the peak value sequence;
and calculating the transient rotation speed by adopting the reciprocal value of each time difference and combining a given convolution network model, and taking the output transient rotation speed value as the actual working rotation speed of the compressor to be tested.
Wherein the transient rotational speed may be calculated by calculating the change in frequency over time.
For example, a spectral screening bandpass filter with a first frequency limit range of [0.8×var1 to 1.2×var1hz ] is set in the first performance data, where the first performance data may be set to var1, the root mean square of var1 at this time is calculated and denoted as var2, and then var2 is compared with the standard performance parameter spec. Setting a spectrum screening band-pass filter with a second frequency limiting range of [1.5 x var 1-10 khz ] in the second performance data, setting the second performance data as var3, calculating the root mean square of the var3, marking the root mean square as var4, and comparing the var4 with a standard performance parameter spec.
Wherein var2 is the root mean square of the maximum actual frequency when the frequency limit range of the spectrum screening band-pass filter is [ 0.8-1.2 var1 ]. var3 is the maximum actual frequency of the spectrum screening band-pass filter when the frequency limiting range is [1.5 x var 1-10 khz ], and var4 is the root mean square of var 3. The standard performance parameter spec refers to a specification standard parameter, and can be set to 0.0001.
S205, comparing the corresponding actual working rotation speed with a given theoretical rotation speed range according to each group of vibration data information to obtain a rotation speed comparison result;
wherein, the given theoretical rotation speed range can be [ M rpm is 95%, M rpm is 105% ], M is the vibration constant, rpm is the unit of rotation speed, and the rotation speed per minute.
The given theoretical rotation speed range is an empirical value obtained by experiments. The performance of the compressor is optimal when the rotation speed range is [ M rpm 95%, M rpm 105% ].
S206, comparing the vibration performance data with given standard performance parameters to obtain a performance comparison result;
further, by comparing the calculated vibration performance data with the given standard parameter performance, whether the working performance of the compressor meets the standard at the moment can be judged, and simple and effective detection of the compressor is realized.
S207, determining a performance detection result of the compressor to be detected based on the rotation speed comparison result and the performance comparison result of each vibration data message.
Specifically, the determining the performance detection result of the compressor to be detected based on the rotation speed comparison result and the performance comparison result of each vibration data information may include: and if the rotation speed comparison results corresponding to the vibration data information are all in the theoretical rotation speed range and the corresponding performance comparison results are smaller than the standard performance parameters, determining that the working performance of the compressor to be tested meets the standard, otherwise, determining that the working performance of the compressor to be tested does not meet the standard.
For example, if the given theoretical speed range is [ M rpm 95%, M rpm 105% ], var2< spec and var4< spec are all satisfied, it indicates that the compressor operation is up to standard, and conversely, if either condition is not satisfied, it indicates that the compressor is defective.
In the alternative embodiment, the extracted vibration voltage data in the working state of the compressor is used, the vibration voltage data in the time domain is converted into frequency spectrum data in the frequency domain through Fourier transformation, the maximum actual frequency in the frequency domain is obtained, then the effective frequency spectrum data and the spread frequency spectrum data are obtained based on the maximum actual frequency, root mean square calculation is respectively carried out to obtain vibration performance data of the compressor, and finally the obtained vibration performance data are compared with a theoretical rotating speed range and standard performance parameters to obtain a comparison result. According to the embodiment, the frequency spectrum is analyzed within a certain frequency range, whether the compressor can generate bad noise during operation or not is effectively verified, and performance evaluation of the compressor is further improved.
Example III
Fig. 3 is a schematic structural diagram of a compressor performance detection device according to a third embodiment of the present invention, where the compressor performance detection device according to the present embodiment may be implemented by software and/or hardware, and may be configured in a server to implement a compressor performance detection method according to the embodiment of the present invention. As shown in fig. 3, the apparatus may specifically include: an information acquisition module 301, an information determination module 302, and a detection result determination module 303.
The information acquisition module 301 is configured to acquire at least one set of vibration data information acquired by the displacement sensor within a set period of time relative to the compressor to be tested;
the information determining module 302 is configured to determine an actual working rotation speed and vibration performance data of the compressor to be tested relative to each piece of vibration data information;
and the detection result determining module 303 is configured to determine a performance detection result of the compressor to be detected according to each of the actual working rotation speed and the vibration performance data.
According to the technical scheme, at least one group of vibration data information acquired by the displacement sensor relative to the compressor to be tested within a set time period is acquired, so that the actual working rotation speed and vibration performance data of the compressor to be tested relative to the vibration data information are determined, and then the performance detection result of the compressor to be tested is finally determined according to the actual working rotation speed and the vibration performance data. According to the technical scheme, the displacement sensor is adopted to collect vibration data information of the compressor during working in a non-contact mode, then the performance of the compressor is detected based on the collected vibration data information, so that the simple and effective evaluation of the working performance of the compressor is realized, the method can be executed in any environment, and the method has wider practicability.
Further, on the basis of the above embodiments, the vibration data information is obtained by measuring a preset surface on the compressor to be measured by the displacement sensor through the emitted infrared rays at a set sampling rate; and at least maintaining a set interval distance value between the preset surface and the edge or the notch on the compressor to be tested.
Optionally, based on the foregoing embodiments, the information determining module 302 may specifically include:
the voltage data extraction unit is specifically used for extracting compressor vibration voltage data in each group of vibration data information;
the maximum actual frequency determining unit is specifically configured to determine the maximum actual frequency of the compressor to be tested in the frequency domain according to the vibration voltage data of the compressor;
and the performance data determining unit is specifically used for screening the band-pass filter according to the maximum actual frequency and the given frequency spectrum and determining the actual working rotating speed and vibration performance data of the compressor to be tested.
Specifically, the maximum actual frequency determining unit may specifically be configured to:
carrying out noise processing on the vibration voltage data of the compressor to be tested by adopting a noise band-pass filter to obtain effective voltage data;
converting the effective voltage data into frequency spectrum data of a frequency domain by adopting Fourier transformation;
and extracting the maximum frequency in the frequency spectrum data as the maximum actual frequency of the compressor to be tested in the frequency domain.
Specifically, the performance data determining unit may specifically be configured to:
obtaining effective spectrum data and spread spectrum data respectively based on the maximum actual frequency and a first frequency limit range and a second frequency limit range set in the spectrum screening band-pass filter;
determining the actual working rotation speed of the compressor to be tested based on the effective frequency spectrum data;
and respectively carrying out root mean square calculation on the effective frequency data and the spread spectrum data, and respectively marking the obtained calculation results as first performance data and second performance data which are all used as vibration performance data of the compressor to be tested.
Further, the specific implementation of determining the actual working rotation speed of the compressor to be tested based on the effective spectrum data may be described as:
extracting each spectrum peak value and corresponding peak value generation time in the effective spectrum data, and sequencing each spectrum peak value through each peak value generation time to form a peak value sequence;
determining the time difference of each adjacent spectrum peak value in the peak value sequence;
and calculating the transient rotation speed by adopting the reciprocal value of each time difference and combining a given convolution network model, and taking the output transient rotation speed value as the actual working rotation speed of the compressor to be tested.
The convolution is the result of summation of two variables after multiplication within a certain range, and the convolution has close relation with the Fourier transform, namely the product of the Fourier transforms of the two functions is equal to the Fourier transform after convolution, so that the processing of a plurality of problems in the Fourier analysis can be simplified.
The detection result determining module 303 may specifically include:
the rotation speed comparison result unit is specifically used for comparing corresponding actual working rotation speed with a given theoretical rotation speed range according to each group of vibration data information to obtain a rotation speed comparison result;
the performance comparison unit is specifically used for comparing the vibration performance data with given standard performance parameters to obtain a performance comparison result;
the detection result determining unit is specifically configured to determine a performance detection result of the compressor to be detected based on a rotation speed comparison result and a performance comparison result of each vibration data information.
Specifically, the detection result determining unit may specifically be configured to:
if the rotation speed comparison results corresponding to the vibration data information are all in the theoretical rotation speed range and the corresponding performance comparison results are all smaller than the standard performance parameters, determining that the working performance of the compressor to be tested meets the standard; otherwise the first set of parameters is selected,
and determining that the working performance of the compressor to be tested does not reach the standard.
The compressor performance detection device provided by the embodiment of the invention can execute the compressor performance detection method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention, where, as shown in fig. 4, the device includes a processor 401, a memory 402, an input device 403 and an output device 404; the number of processors 401 in the device may be one or more, one processor 401 being exemplified in fig. 4; the processor 401, memory 402, input means 403 and output means 404 in the device may be connected by a bus or other means, in fig. 4 by way of example.
The memory 402 is a computer-readable storage medium, and may be used to store a software program, a computer-executable program, and modules, such as program instructions/modules (e.g., the information acquisition module 301, the information determination module 302, and the detection result determination module 303) corresponding to the compressor performance detection method in the embodiment of the present invention. The processor 401 executes various functional applications of the device/terminal/server and data processing by running software programs, instructions and modules stored in the memory 402, i.e., implements the above-described compressor performance detection method.
The input means 403 may be used to receive input numeric or character information and to generate key signal inputs related to user settings of the device/terminal/server and function control. The output 404 may include a display device such as a display screen.
Example five
A fifth embodiment of the present invention also provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are for performing a method of compressor performance detection, the method comprising:
acquiring at least one group of vibration data information acquired by a displacement sensor in a set time period relative to a compressor to be tested;
determining the actual working rotation speed and vibration performance data of the compressor to be tested relative to each vibration data message;
and determining the performance detection result of the compressor to be detected through the actual working rotation speed and the vibration performance data.
Of course, the storage medium containing the computer executable instructions provided in the embodiments of the present invention is not limited to the method operations described above, and may also perform the related operations in the method for detecting the performance of the compressor provided in any embodiment of the present invention.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, etc., and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present invention.
It should be noted that, in the above-mentioned embodiments of the search apparatus, each unit and module included are only divided according to the functional logic, but not limited to the above-mentioned division, as long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (9)
1. A method for detecting performance of a compressor, comprising:
acquiring at least one group of vibration data information acquired by a displacement sensor in a set time period relative to a compressor to be tested;
determining the actual working rotation speed and vibration performance data of the compressor to be tested relative to each vibration data message;
determining a performance detection result of the compressor to be detected according to the actual working rotation speed and the vibration performance data;
the determining the actual working rotation speed and vibration performance data of the compressor to be tested relative to each vibration data message includes:
extracting compressor vibration voltage data in vibration data information aiming at each group of vibration data information;
determining the maximum actual frequency of the compressor to be tested in a frequency domain according to the vibration voltage data of the compressor;
according to the maximum actual frequency, a band-pass filter is screened by a given frequency spectrum, and the actual working rotating speed and vibration performance data of the compressor to be tested are determined;
wherein, according to the maximum actual frequency, combining a given frequency spectrum to screen a band-pass filter, determining the actual working rotation speed and vibration performance data of the compressor to be tested includes:
obtaining effective spectrum data and spread spectrum data respectively based on the maximum actual frequency and a first frequency limit range and a second frequency limit range set in the spectrum screening band-pass filter;
determining the actual working rotation speed of the compressor to be tested based on the effective frequency spectrum data;
and respectively carrying out root mean square calculation on the effective spectrum data and the spread spectrum data, and respectively marking the obtained calculation results as first performance data and second performance data which are all used as vibration performance data of the compressor to be tested.
2. The method according to claim 1, characterized in that the vibration data information is obtained by the displacement sensor measuring a preset surface on the compressor to be compressed at a set sampling rate by means of the emitted infrared rays;
and at least maintaining a set interval distance value between the preset surface and the edge or the notch on the compressor to be tested.
3. The method of claim 1, wherein determining a maximum actual frequency of the compressor under test in the frequency domain from the compressor vibration voltage data comprises:
noise processing is carried out on the vibration voltage data of the compressor by adopting a noise band-pass filter, so that effective voltage data are obtained;
converting the effective voltage data into frequency spectrum data of a frequency domain by adopting Fourier transformation;
and extracting the maximum frequency in the frequency spectrum data as the maximum actual frequency of the compressor to be tested in the frequency domain.
4. The method of claim 1, wherein determining an actual operating speed of the compressor under test based on the effective spectral data comprises:
extracting each spectrum peak value and corresponding peak value generation time in the effective spectrum data, and sequencing each spectrum peak value through each peak value generation time to form a peak value sequence;
determining the time difference of each adjacent spectrum peak value in the peak value sequence;
and calculating the transient rotation speed by adopting the reciprocal value of each time difference and combining a given convolution network model, and taking the output transient rotation speed value as the actual working rotation speed of the compressor to be tested.
5. The method of any one of claims 1-4, wherein said determining a performance test result of said compressor to be tested from said actual operating speed and said vibration performance data comprises:
comparing the corresponding actual working rotation speed with a given theoretical rotation speed range aiming at each group of vibration data information to obtain a rotation speed comparison result;
comparing the vibration performance data with given standard performance parameters to obtain a performance comparison result;
and determining a performance detection result of the compressor to be detected based on the rotation speed comparison result and the performance comparison result of each vibration data message.
6. The method of claim 5, wherein determining the performance test result of the compressor to be tested based on the rotation speed comparison result and the performance comparison result of each vibration data information comprises:
if the rotation speed comparison results corresponding to the vibration data information are all in the theoretical rotation speed range and the corresponding performance comparison results are all smaller than the standard performance parameters, determining that the working performance of the compressor to be tested meets the standard; otherwise the first set of parameters is selected,
and determining that the working performance of the compressor to be tested does not reach the standard.
7. A compressor performance inspection apparatus, comprising:
the information acquisition module is used for acquiring at least one group of vibration data information acquired by the displacement sensor in a set time length relative to the compressor to be tested;
the information determining module is used for determining the actual working rotation speed and vibration performance data of the compressor to be tested relative to the vibration data information;
the detection result determining module is used for determining the performance detection result of the compressor to be detected according to the actual working rotation speed and the vibration performance data;
the information determining module specifically includes:
the voltage data extraction unit is specifically used for extracting compressor vibration voltage data in each group of vibration data information;
the maximum actual frequency determining unit is specifically configured to determine the maximum actual frequency of the compressor to be tested in the frequency domain according to the vibration voltage data of the compressor;
the performance data determining unit is specifically used for screening the band-pass filter according to the maximum actual frequency and the given frequency spectrum and determining the actual working rotating speed and vibration performance data of the compressor to be tested;
wherein, the performance data determining unit is specifically configured to:
obtaining effective spectrum data and spread spectrum data respectively based on the maximum actual frequency and a first frequency limit range and a second frequency limit range set in the spectrum screening band-pass filter;
determining the actual working rotation speed of the compressor to be tested based on the effective frequency spectrum data;
and respectively carrying out root mean square calculation on the effective spectrum data and the spread spectrum data, and respectively marking the obtained calculation results as first performance data and second performance data which are all used as vibration performance data of the compressor to be tested.
8. A computer device, comprising:
one or more of the processors of the present invention,
storage means for storing one or more programs,
when executed by the one or more processors, causes the one or more processors to implement the compressor performance detection method of any one of claims 1-6.
9. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements a compressor performance detection method according to any one of claims 1-6.
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