CN113719465A - 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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- 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 and 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 relative to a compressor to be detected within a set time length; determining actual working rotating speed and vibration performance data of the compressor to be tested relative to each vibration data information; and determining the performance detection result of the compressor to be detected according to the actual working rotating speed and the vibration performance data. According to the embodiment of the invention, the non-contact displacement sensor is adopted to collect the vibration data information of the compressor in the working state, and then the performance of the compressor is detected based on the collected vibration data information, so that the working performance of the compressor is simply and effectively evaluated, the evaluation can be carried out in any environment, and the method and the device have 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 defects of a compressor, computer equipment and a storage medium.
Background
In a complex industrial work environment, a compressor is an important auxiliary device, and the compressor is required to show good performance. Therefore, for manufacturers, before the compressor is shipped, performance detection is performed on the compressor to ensure the quality of the shipped compressor and reduce market flow of defective products.
For the detection of the performance of the compressor, the existing detection methods include: 1) the performance index of the compressor is detected by adopting special contact type 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) the other detection mode is that the bearing and the impeller are considered as important components of the compressor, so that a damage model is established for the bearing and the impeller, and the performance of the compressor is determined through the processing and analysis of the damage model, but in the mode, the establishment of the damage model firstly considers the matching with the compressor, and meanwhile, the model construction process is relatively complex and the expandability is poor; 3) there are also some ways based on sound detection, but these ways have high requirements on the detection environment, and the compressor to be detected needs to be placed in a special environment, and the practicability is also weak.
Disclosure of Invention
The invention provides a compressor performance detection method, a compressor performance detection device, computer equipment and a storage medium, and aims to realize simple and effective evaluation on the working performance of a 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 relative to a compressor to be detected within a set time length;
determining actual working rotating speed and vibration performance data of the compressor to be tested relative to each vibration data information;
and determining the performance detection result of the compressor to be detected according to the actual working rotating speed and the vibration performance data.
In a second aspect, an embodiment of the present invention further provides a device for detecting performance of a compressor, where the device includes:
the information acquisition module is used for acquiring at least one group of vibration data information acquired by the displacement sensor relative to the compressor to be detected within a set time length;
the information determining module is used for determining the actual working rotating speed and the 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 according to the actual working rotating speed and the vibration performance data.
In a third aspect, an embodiment of the present invention further provides a computer device, including:
one or more processors for executing a program to perform,
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the compressor performance detection method as described in the first aspect above.
In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the compressor performance detection method according to the first aspect.
In the technical scheme provided by the embodiment of the invention, the actual working rotating speed and vibration performance data of the compressor to be detected 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 detected within a set time length, and then the performance detection result of the compressor to be detected is determined according to the obtained actual working rotating speed and 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, so that the working performance of the compressor can be effectively evaluated based on the collected vibration data information, and compared with the existing contact type evaluation mode, the non-contact mode effectively avoids damage to precision devices on the compressor in the evaluation process; meanwhile, compared with the existing performance evaluation of a complex damage model, the method can obtain an effective evaluation result only by analyzing and processing the acquired vibration data information; in addition, the technical scheme of the embodiment can be executed in any environment, the evaluation environment does not need to be specially limited, and the method 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 flowchart of a method for detecting performance of a compressor according to an 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 structural diagram of a performance detecting apparatus for a compressor according to a third embodiment of the present invention;
fig. 4 is a structural diagram of a computer device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for detecting performance of a compressor according to an embodiment of the present invention, where the present embodiment is applicable to a situation when detecting performance of a compressor, and the method may be implemented by a device for detecting performance of a compressor, where the device is implemented by software and/or hardware, and the device may be configured in a computer device.
The method specifically comprises the following steps:
s101, at least one group of vibration data information collected by the displacement sensor relative to the compressor to be measured within a set time length is obtained.
The displacement sensor can measure the vibration position value of a measured object in the process of generating vibration in a non-contact mode, has the advantages of high resolution of 0.01%, high linearity of 0.1%, high response of 9.4KHz, strong anti-interference capability, high protection level of IP67 and synchronizable performance, and can measure positions which are difficult to approach and small structures and is very convenient to operate. The compressor to be detected is the compressor waiting for performance detection, and performance of the compressor can be detected by utilizing the displacement sensor through signal processing and reconstructing vibration characteristics of the compressor. Generally, the performance of a compressor is measured, mainly by 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 arranged on the compressor rotate, so as to generate information related to the vibration displacement. The displacement sensor can acquire vibration displacement information of a bearing and an impeller on the compressor when the compressor works, and the acquired 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 electric signal generated by a circuit device included therein, and the voltage data may be included as part of the vibration data information.
The displacement sensor may preferably be an infrared sensor, and is obtained by measuring a preset surface on the compressor to be measured at a set sampling rate through emitted infrared rays, wherein at least a set distance value is kept between the preset surface and an edge or a notch on the compressor to be measured.
It can be known that, displacement sensor can adopt non-contact's mode to gather the vibration data information of compressor during operation, sets for certain sampling rate through the infrared ray that launches to carry out certain distance setting value to preset surface on the compressor that awaits measuring and the edge or the breach on the compressor that awaits measuring, make the data accuracy nature of gathering higher.
The sampling rate, also referred to as a sampling frequency or a sampling speed, refers to the number of samples extracted from a continuous signal and forming a discrete signal in a unit time. Alternatively, the sampling rate may be set to 51200 hz.
Optionally, before obtaining the vibration data information, the compressor may be operated at M rpm for 30 seconds, then the vibration data information of the compressor during operation is collected in a non-contact manner, the time duration of the collected vibration data information is limited, multiple sets of vibration data information are collected within a set time duration, and the original data of the displacement sensor is recorded for 5 seconds.
Wherein M is a vibration constant, and rpm is a vibration speed per minute.
S102, determining actual working rotating speed and vibration performance data of the compressor to be tested relative to each vibration data information;
the actual working rotating speed and the vibration performance data are at least one group, and each group of actual working rotating speed and each group of vibration performance data correspond to each group of vibration data information.
It should be noted that the actual operating speed is calculated from the inverse value of the time difference between the peak values of the frequency spectrums and a given convolution network model. The method specifically comprises the following steps: the acquired vibration data information is in the time domain, so that for each group of vibration data information, Fourier transform is adopted to convert the vibration data information into frequency spectrum data of a frequency domain, each frequency spectrum peak value and corresponding peak value generation time are sequenced to obtain the time difference of each adjacent frequency spectrum peak value, and then the reciprocal value of each time difference is combined with a given convolution network model to carry out transient rotation speed to obtain the actual working rotation speed.
Note that the vibration performance data is obtained by calculating the root mean square of the spectrum data. The method specifically comprises the following steps: when the compressor is in a working state, a certain vibration signal is generated, a corresponding vibration frequency can be obtained through the vibration signal, corresponding frequency spectrum data can be obtained according to the frequency, then 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 measured, and then the obtained vibration performance data is compared with standard parameters to obtain the quality of the performance of the compressor.
S103, determining a performance detection result of the compressor to be detected according to the actual working rotating speed and the vibration performance data.
The performance detection result can be the detection result of comparing the actual working rotating speed with a given theoretical rotating speed range and comparing the vibration performance data with a given standard performance parameter.
Alternatively, the following two ways of detecting the performance of the compressor can 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 is judged;
2) when the compressor is in working condition, the vibration performance data is within the given standard performance parameter range.
For example, when the bearing and the impeller of the compressor are in a working state, for each group of vibration data information, the corresponding actual working rotating speed is within a given theoretical rotating speed range, and each vibration performance data is 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 group or one index data in the actual working rotating speed and each vibration performance data is not within the theoretical rotating speed range or within the standard performance parameter range, the performance of the compressor can be considered to have a defect.
According to the technical scheme of the embodiment, at least one group of vibration data information acquired by a displacement sensor relative to a compressor to be detected within a set time length is acquired to determine the actual working rotating speed and vibration performance data of the compressor to be detected relative to each vibration data information, and then the performance detection result of the compressor to be detected is finally determined according to each actual working rotating speed and vibration performance data. According to the technical scheme of the embodiment, the displacement sensor is adopted to collect vibration data information of the compressor during working in a non-contact mode so as to realize effective evaluation of the working performance of the compressor based on the collected vibration data information, and compared with the existing contact evaluation mode, the adopted non-contact mode effectively avoids damage to precision devices on the compressor in the evaluation process; meanwhile, compared with the existing performance evaluation of a complex damage model, the method can obtain an effective evaluation result only by analyzing and processing the acquired vibration data information; in addition, the technical scheme of the embodiment can be executed in any environment, the evaluation environment does not need to be specially limited, and the method 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, which is further detailed based on the above embodiments. The method specifically comprises the following steps:
s201, acquiring at least one group of vibration data information acquired by a displacement sensor relative to a compressor to be detected within a set time length;
alternatively, multiple sets of vibration data information within a certain time period of the compressor start-up may be acquired through S201.
Specifically, in this embodiment, the actual operating speed and the vibration performance data of the compressor to be measured may be determined according to the obtained maximum actual frequency through each set of vibration information collected within the set time duration.
Specifically, S202 to S204:
s202, extracting compressor vibration voltage data in the vibration data information aiming at each group of vibration data information;
the vibration voltage data of the compressor is data information related to vibration generated when the compressor is in a working state, the data information can be generated voltage signals, and the vibration voltage data of each group of compressors can be directly extracted from each group of vibration data information. It will be appreciated that compressor vibration voltage data may be obtained by the displacement sensor through processing of the collected vibration displacement information.
S203, determining the maximum actual frequency of the compressor to be tested in the frequency domain according to the compressor vibration voltage data;
where the frequency domain is a coordinate system used in describing the characteristics of the signal in terms of frequency. 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 are generated in the time domain, in order to obtain the maximum actual frequency of the compressor to be detected in the frequency domain, certain noise processing is firstly carried out on the collected compressor vibration voltage data, then the processed compressor vibration voltage data are converted into frequency spectrum data in the frequency domain by adopting Fourier transform, and the maximum frequency value in the frequency spectrum data at the moment is found, namely the maximum actual frequency of the compressor to be detected in the frequency domain.
Further, the determining the maximum actual frequency of the compressor to be tested in the frequency domain according to the compressor vibration voltage data may include:
a1, carrying out noise processing on the compressor vibration voltage data by adopting a noise band-pass filter to obtain effective voltage data.
b1, converting the effective voltage data into frequency spectrum data of a frequency domain by adopting Fourier transform.
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 frequency ranges to an extremely low level, and is a device that allows waves in a specific frequency band to pass while shielding other frequency bands. The noise band-pass filter carries out a noise limitation on the band-pass filter, the noise band-pass filter is preset with a frequency band, only the preset frequency band is effectively reserved, and other frequency bands are considered as noise frequencies. Optionally, the noise band-pass filter has an upper noise band-pass frequency limit and a lower noise band-pass frequency limit, and the range of the noise band-pass filter may be [100hz-20khz ].
The frequency spectrum is a frequency spectrum density, also called vibration spectrum, and is a distribution curve of frequency, and the most basic physical quantity reflecting the vibration phenomenon is the frequency. Fourier transformation is a method of analyzing a signal that analyzes the components of the signal, and may also be used to synthesize the signal. By adopting Fourier transform, the vibration voltage data collected in the time domain can be effectively converted into the related frequency spectrum data of the frequency domain.
And S204, screening a band-pass filter according to the maximum actual frequency and a given frequency spectrum, and determining the actual working rotating speed and vibration performance data of the compressor to be tested.
The spectrum screening band-pass filter is a limitation of the band-pass filter for spectrum screening. The frequency spectrum screening band-pass filter screens the frequency to a certain extent and determines a certain limited range.
Specifically, the frequency spectrum data is obtained based on the obtained maximum actual frequency and the frequency limit range of the frequency spectrum screening band-pass filter, the frequency spectrum data at the moment is divided into effective frequency spectrum data and spread frequency spectrum data, root mean square calculation is respectively carried out on the obtained frequency spectrum data, and vibration performance data of the compressor to be measured can be obtained. And performing certain sequencing according to each frequency spectrum peak value in the effective frequency spectrum data and the corresponding peak value generation time to obtain the time difference of each adjacent frequency spectrum peak value at the moment, and performing transient rotation speed calculation by combining the reciprocal value of the time difference with a given convolution network model to obtain the actual working rotation speed of the compressor to be measured.
Illustratively, the frequency of the spectral filtering bandpass filter may be limited to a range of [0.8 var1-1.2 var1], where var1 is the maximum actual frequency.
Further, the determining the actual operating speed and vibration performance data of the compressor to be tested by combining a given frequency spectrum screening band-pass filter according to the maximum actual frequency may include:
a2, respectively obtaining effective spectrum data and spread spectrum data 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.
b2, determining the actual working rotating speed of the compressor to be tested based on the effective frequency spectrum data.
c2, respectively carrying out root mean square calculation on the effective frequency data and the spread spectrum data, respectively recording the obtained calculation results as first performance data and second performance data, and taking the first performance data and the second performance data as vibration performance data of the compressor to be measured.
Specifically, the determining the actual operating speed of the compressor to be tested based on the effective frequency spectrum data 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 in the peak sequence;
and calculating the transient rotating speed by combining the reciprocal value of each time difference with a given convolution network model, and taking the output transient rotating speed value as the actual working rotating speed of the compressor to be detected.
Wherein the transient rotational speed may be calculated by calculating a change in frequency with time.
For example, a spectrum screening bandpass filter with a first frequency limit range of [0.8 × var1-1.2 × var1hz ] is set in the first performance data, the first performance data at this time can be set as var1, the root mean square of var1 at this time is calculated and recorded as var2, and then var2 is compared with the standard performance parameter spec. Setting a spectrum screening band-pass filter with a second frequency limited range of [1.5 × var 1-10 khz ] in the second performance data, setting the second performance data to var3, calculating the root mean square of var3 at the moment, marking as var4, and comparing var4 with a standard performance parameter spec.
Wherein, var2 is the root mean square of the maximum actual frequency when the frequency of the spectrum screening band-pass filter is limited to the range of [0.8 var1-1.2 var1 ]. var3 is the maximum practical frequency of the frequency limited range [1.5 × var1 ~ 10khz ] of the spectrum screening band-pass filter, and var4 is the root mean square of var 3. The standard performance parameter spec refers to a specification standard parameter and may be set to 0.0001.
S205, aiming at each group of vibration data information, comparing the corresponding actual working rotating speed with a given theoretical rotating speed range to obtain a rotating speed comparison result;
wherein the given theoretical rotation speed range may be [ M rpm 95%, M rpm 105% ], M being the vibration constant, rpm being the unit of rotation speed, rotation speed per minute.
It should be noted that the given theoretical rotational speed range is an empirical value obtained experimentally. The performance of the compressor is optimal when the rotation speed ranges [ M rpm 95%, M rpm 105% ].
S206, comparing the vibration performance data with the given standard performance parameters to obtain a performance comparison result;
furthermore, by comparing the calculated vibration performance data with the given standard parameter performance, whether the working performance of the compressor reaches the standard or not can be judged, and the compressor can be simply and effectively detected.
And S207, determining a performance detection result of the compressor to be detected based on the rotating 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 piece of vibration data information may include: and if the rotating speed comparison results corresponding to the vibration data information are all in a theoretical rotating 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 reaches the standard, otherwise, determining that the working performance of the compressor to be tested does not reach the standard.
Illustratively, if the given theoretical rotational speed ranges are [ M rpm 95%, M rpm 105% ], var2< spec and var4< spec, the performance of the compressor is satisfactory, and conversely, if any one of the conditions is not satisfied, the presence of a defect is indicated.
In the optional embodiment, the extracted vibration voltage data of the compressor in the working state is used, the vibration voltage data in the time domain is converted into the frequency spectrum data in the frequency domain state through Fourier transform, 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 the vibration performance data of the compressor, and finally the obtained vibration performance data are compared with the theoretical rotating speed range and the standard performance parameters to obtain the comparison result. The embodiment analyzes the frequency spectrum within a certain frequency range, more effectively verifies whether the compressor generates bad noise in working, and further improves the performance evaluation of the compressor.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a compressor performance detection apparatus according to a third embodiment of the present invention, where the compressor performance detection apparatus according to the third embodiment of the present invention 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 third 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 time period relative to the compressor to be detected;
an information determining module 302, configured to determine actual operating speeds and vibration performance data of the compressor to be tested with respect to each piece of vibration data information;
and a detection result determining module 303, configured to determine a performance detection result of the compressor to be detected according to each actual operating rotational speed and vibration performance data.
According to the technical scheme of the embodiment, at least one group of vibration data information acquired by a displacement sensor relative to a compressor to be detected within a set time length is acquired to determine the actual working rotating speed and vibration performance data of the compressor to be detected relative to each vibration data information, and then the performance detection result of the compressor to be detected is finally determined according to each actual working rotating speed and vibration performance data. The technical scheme of this embodiment has adopted displacement sensor to gather the vibration data information of compressor during operation through the mode of non-contact, then detects the performance of compressor based on the vibration data information who gathers, has realized simple, effectual evaluation to compressor working property, and can carry out under arbitrary environment, possesses more extensive practicality.
Further, on the basis of the above embodiments, the vibration data information is obtained by the displacement sensor measuring a preset surface on the compressor to be measured at a set sampling rate through the emitted infrared rays; and at least a set spacing distance value is kept between the set preset surface and the edge or the notch on the compressor to be tested.
Optionally, on the basis of 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 used for determining the maximum actual frequency of the compressor to be tested in the frequency domain according to the compressor vibration voltage data;
and the performance data determining unit is specifically used for screening the band-pass filter according to the maximum actual frequency and a 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 transform;
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 be specifically configured to:
respectively obtaining effective spectrum data and spread spectrum data based on the maximum actual frequency and a first frequency limited range and a second frequency limited range set in the spectrum screening band-pass filter;
determining the actual working rotating 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 recording the obtained calculation results as first performance data and second performance data which are used as vibration performance data of the compressor to be tested.
Further, the specific implementation of determining the actual operating speed of the compressor to be tested based on the effective frequency 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 in the peak sequence;
and calculating the transient rotating speed by combining the reciprocal value of each time difference with a given convolution network model, and taking the output transient rotating speed value as the actual working rotating speed of the compressor to be detected.
The convolution is the result of summing after two variables are multiplied in a certain range, and the convolution has close relation with Fourier transform, namely the product of the Fourier transform of two functions is equal to the Fourier transform after the convolution, so that the processing of many problems in Fourier analysis can be simplified.
The detection result determining module 303 may specifically include:
the rotating speed comparison result unit is specifically used for comparing the corresponding actual working rotating speed with a given theoretical rotating speed range according to each group of vibration data information to obtain a rotating speed comparison result;
the performance comparison result unit is specifically used for comparing the vibration performance data with the given standard performance parameters to obtain a performance comparison result;
and the detection result determining unit is specifically used for 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 piece of vibration data information.
Specifically, the detection result determining unit may be specifically configured to:
if the rotating speed comparison results corresponding to the vibration data information are all in a theoretical rotating 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 reaches the standard; if not, then,
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 four
Fig. 4 is a schematic structural diagram of a computer apparatus according to a fourth embodiment of the present invention, as shown in fig. 4, the apparatus includes a processor 401, a memory 402, an input device 403, and an output device 404; the number of the processors 401 in the device may be one or more, and one processor 401 is taken as an example in fig. 4; the processor 401, the memory 402, the input device 403 and the output device 404 in the apparatus may be connected by a bus or other means, which is exemplified in fig. 4.
The memory 402, which is a computer-readable storage medium, may be used to store software programs, computer-executable programs, 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 and data processing of the device/terminal/server by running software programs, instructions and modules stored in the memory 402, that is, implements the above-described compressor performance detection method.
The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 402 may further include memory located remotely from the processor 401, which may be connected to the device/terminal/server through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 403 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the device/terminal/server. The output device 404 may include a display device such as a display screen.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for detecting performance of a compressor, the method including:
acquiring at least one group of vibration data information acquired by a displacement sensor relative to a compressor to be detected within a set time length;
determining actual working rotating speed and vibration performance data of the compressor to be tested relative to each vibration data information;
and determining the performance detection result of the compressor to be detected according to the actual working rotating speed and the vibration performance data.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the method for detecting the performance of the compressor provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above search apparatus, each included unit and module are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. 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, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (11)
1. A method of detecting compressor performance, comprising:
acquiring at least one group of vibration data information acquired by a displacement sensor relative to a compressor to be detected within a set time length;
determining actual working rotating speed and vibration performance data of the compressor to be tested relative to each vibration data information;
and determining the performance detection result of the compressor to be detected according to the actual working rotating speed and the vibration performance data.
2. The method according to claim 1, characterized in that the vibration data information is obtained by the displacement sensor by measuring a preset surface on the compressor to be tested at a set sampling rate through the emitted infrared rays;
and at least a set spacing distance value is kept between the set preset surface and the edge or the notch on the compressor to be tested.
3. The method of claim 1, wherein the determining the actual operating speed and vibration performance data of the compressor to be tested relative to each piece of vibration data information comprises:
extracting compressor vibration voltage data in the vibration data information for each group of vibration data information;
determining the maximum actual frequency of the compressor to be tested in the frequency domain according to the compressor vibration voltage data;
and screening a band-pass filter by a given frequency spectrum according to the maximum actual frequency, and determining the actual working rotating speed and vibration performance data of the compressor to be tested.
4. The method of claim 3, wherein determining the maximum actual frequency of the compressor under test in the frequency domain from the compressor vibration voltage data comprises:
carrying out noise processing on the compressor vibration voltage data 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 transform;
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.
5. The method of claim 3, wherein determining the actual operating speed and vibration performance data of the compressor under test according to the maximum actual frequency and with a given spectral screening bandpass filter comprises:
respectively obtaining effective spectrum data and spread spectrum data based on the maximum actual frequency and a first frequency limited range and a second frequency limited range set in the spectrum screening band-pass filter;
determining the actual working rotating 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 recording the obtained calculation results as first performance data and second performance data which are used as vibration performance data of the compressor to be tested.
6. The method of claim 5, wherein determining the actual operating speed of the compressor under test based on the effective frequency spectrum 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 in the peak sequence;
and calculating the transient rotating speed by combining the reciprocal value of each time difference with a given convolution network model, and taking the output transient rotating speed value as the actual working rotating speed of the compressor to be detected.
7. The method according to any one of claims 1 to 6, wherein the determining the performance detection result of the compressor to be detected through the actual operating speed and the vibration performance data comprises:
aiming at each group of vibration data information, comparing the corresponding actual working rotating speed with a given theoretical rotating speed range to obtain a rotating speed comparison result;
comparing the vibration performance data with a given standard performance parameter to obtain a performance comparison result;
and determining a performance detection result of the compressor to be detected based on the rotating speed comparison result and the performance comparison result of each vibration data message.
8. The method of claim 7, wherein the 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 piece of vibration data information comprises:
if the rotating speed comparison results corresponding to the vibration data information are all in a theoretical rotating 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 reaches the standard; if not, then,
and determining that the working performance of the compressor to be tested does not reach the standard.
9. A compressor performance detecting device, comprising:
the information acquisition module is used for acquiring at least one group of vibration data information acquired by the displacement sensor relative to the compressor to be detected within a set time length;
the information determining module is used for determining the actual working rotating speed and the 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 according to the actual working rotating speed and the vibration performance data.
10. A computer device, comprising:
one or more processors for executing a program to perform,
a storage device for storing 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 of any one of claims 1-8.
11. A computer-readable storage medium, on which a computer program is stored, the program, when being executed by a processor, implementing the compressor performance detecting method according to any one of claims 1 to 8.
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