CN113446703A - Air conditioner noise analysis method and device, server and storage medium - Google Patents
Air conditioner noise analysis method and device, server and storage medium Download PDFInfo
- Publication number
- CN113446703A CN113446703A CN202110745805.9A CN202110745805A CN113446703A CN 113446703 A CN113446703 A CN 113446703A CN 202110745805 A CN202110745805 A CN 202110745805A CN 113446703 A CN113446703 A CN 113446703A
- Authority
- CN
- China
- Prior art keywords
- abnormal
- noise
- air conditioner
- sound pressure
- analyzed
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/61—Indexing; Data structures therefor; Storage structures
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
- F24F2130/40—Noise
Abstract
The invention relates to the technical field of air conditioners, and provides an air conditioner noise analysis method which is applied to a server, wherein a case database is stored in the server in advance, and the method comprises the following steps: acquiring a noise spectrum curve of noise generated by an air conditioner to be analyzed; analyzing the noise spectrum curve, and determining abnormal data when the air conditioner to be analyzed generates abnormal noise; and analyzing the abnormal noise of the air conditioner to be analyzed according to the abnormal data and the case database. The abnormal data of the abnormal noise is determined through the noise spectrum curve, and then the abnormal noise of the air conditioner to be analyzed can be automatically analyzed through the existing cases in the case database, so that the intelligent analysis of the abnormal noise of the air conditioner is realized, and the noise analysis cost of the air conditioner is reduced.
Description
Technical Field
The invention relates to the technical field of air conditioners, in particular to an air conditioner noise analysis method, an air conditioner noise analysis device, a server and a storage medium.
Background
The noise analysis of the air conditioner is mostly based on personal experience because of the diversification and complexity of the noise analysis problem, and sometimes needs to be solved by fully analyzing system components, but on one hand, the noise analysis method needs abundant after-sales maintenance experience of research and development analysts, and simultaneously needs a lot of time and energy to analyze the noise source, so that the cost is high.
Disclosure of Invention
The invention solves the problem of how to intelligently analyze the noise generated by the air conditioner so as to reduce the noise analysis cost of the air conditioner.
In order to solve the above problems, the present invention provides an air conditioner noise analysis method applied to a server, where a case database is stored in advance, the method including: acquiring a noise spectrum curve of noise generated by an air conditioner to be analyzed; analyzing the noise spectrum curve to determine abnormal data when the air conditioner to be analyzed generates abnormal noise; and analyzing the abnormal noise of the air conditioner to be analyzed according to the abnormal data and the case database.
Compared with the prior art, the air conditioner noise analysis method has the following advantages: the air conditioner is stored with a case database in advance, firstly, a noise spectrum curve of noise generated by the air conditioner to be analyzed is obtained, then the noise spectrum curve is analyzed, abnormal data when the air conditioner to be analyzed generates abnormal noise is determined, and finally the abnormal noise of the air conditioner to be analyzed is analyzed according to the abnormal data and the case database, so that the abnormal data of the abnormal noise is determined through the noise spectrum curve, and then the abnormal noise of the air conditioner to be analyzed can be automatically analyzed through an existing case in the case database, thereby realizing intelligent analysis of the abnormal noise of the air conditioner and reducing the noise analysis cost of the air conditioner.
Further, the noise spectrum curve is used for reflecting a relation between an audio frequency generated by the air conditioner to be analyzed and an actually measured sound pressure, the abnormal data includes an abnormal sound pressure and an abnormal frequency, and the step of analyzing the noise spectrum curve and determining the abnormal data when the air conditioner to be analyzed generates the abnormal noise includes:
carrying out nonlinear fitting processing on the noise frequency spectrum curve to obtain a fitting curve;
determining the abnormal actual measurement sound pressure in the noise spectrum curve according to the fitting curve to obtain abnormal sound pressure;
and taking the audio frequency corresponding to the abnormal sound pressure in the noise spectrum curve as abnormal frequency.
Further, the fitting curve is used for reflecting a relation between an audio frequency generated by the air conditioner to be analyzed and fitting sound pressure, the abnormal actual measurement sound pressure in the noise spectrum curve is determined according to the fitting curve, and the step of obtaining the abnormal sound pressure comprises the following steps:
calculating a deviation value between the actually measured sound pressure and the fitting sound pressure with the same frequency;
and taking the actually measured sound pressure with the deviation value larger than a preset threshold value as the abnormal sound pressure.
Further, the abnormal data includes abnormal frequency, abnormal sound pressure, and state data of the air conditioner to be analyzed corresponding to the abnormal sound pressure, the case database includes a plurality of cases where the air conditioner generates abnormal noise, the case database further includes reference sound pressure, reference frequency, reference state and reference reason corresponding to each case, and the step of analyzing the abnormal noise of the air conditioner to be analyzed according to the abnormal data and the case database includes:
and if a target case with reference sound pressure matched with the abnormal sound pressure, reference frequency matched with the abnormal frequency and reference state matched with the state data exists in the case database, taking a target reference reason of the target case as an initial reference reason of abnormal noise generated by the air conditioner to be analyzed.
Further, the case database further includes a reference solution corresponding to each case, the target case further includes a target reference solution, and the method further includes:
acquiring an actual solution and an actual reason for solving the abnormal noise generated by the air conditioner to be analyzed;
if the target reference solution is inconsistent with the actual solution or the initial reference reason is inconsistent with the actual reason, adding the abnormal data, the actual reason and the actual solution to the case database.
The invention also provides an air conditioner noise analysis device, which is applied to a server, wherein the server stores a case database in advance, and the device comprises: the acquisition module is used for acquiring a noise spectrum curve of noise generated by the air conditioner to be analyzed; the determining module is used for analyzing the noise spectrum curve and determining abnormal data when the air conditioner to be analyzed generates abnormal noise; and the analysis module is used for analyzing the abnormal noise of the air conditioner to be analyzed according to the abnormal data and the case database.
Further, the noise spectrum curve is used for reflecting a relationship between an audio frequency generated by the air conditioner to be analyzed and an actually measured sound pressure, the abnormal data includes an abnormal sound pressure and an abnormal frequency, and the determining module is specifically used for:
carrying out nonlinear fitting processing on the noise frequency spectrum curve to obtain a fitting curve;
determining the abnormal actual measurement sound pressure in the noise spectrum curve according to the fitting curve to obtain abnormal sound pressure;
and taking the audio frequency corresponding to the abnormal sound pressure in the noise spectrum curve as abnormal frequency.
Further, the abnormal data includes abnormal frequency, abnormal sound pressure, and state data of the air conditioner to be analyzed corresponding to the abnormal sound pressure, the case database includes a plurality of cases where abnormal noise is generated by the air conditioner, the case database further includes reference sound pressure, reference frequency, reference state and reference reason corresponding to each case, and the analysis module is specifically configured to:
and if a target case with reference sound pressure matched with the abnormal sound pressure, reference frequency matched with the abnormal frequency and reference state matched with the state data exists in the case database, taking a target reference reason of the target case as an initial reference reason of abnormal noise generated by the air conditioner to be analyzed.
The invention also provides a server, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to realize the air conditioner noise analysis method.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the air conditioner noise analysis method as described above.
Drawings
FIG. 1 is an exemplary diagram of a noise spectrum without noise according to the present invention.
FIG. 2 is an exemplary diagram of a noise spectrum curve with abnormal sounds according to the present invention.
Fig. 3 is a schematic flow chart of an air conditioner noise analysis method according to the present invention.
Fig. 4 is a schematic flow chart of another method for analyzing noise of an air conditioner according to the present invention.
Fig. 5 is a schematic flow chart of another method for analyzing noise of an air conditioner according to the present invention.
Fig. 6 is a schematic flow chart of another method for analyzing noise of an air conditioner according to the present invention.
Fig. 7 is an exemplary diagram of a noise spectrum curve and a fitting curve of an air conditioner to be analyzed according to the present invention.
Fig. 8 is a block diagram of an air conditioner noise analysis device according to the present invention.
Fig. 9 is a block diagram of a server provided by the present invention.
Description of reference numerals:
10-a server; 11-a processor; 12-a memory; 13-a bus; 14-a communication interface; 100-air conditioner noise analysis device; 110-an obtaining module; 120-a determination module; 130-an analysis module; 140-update module.
Detailed Description
The noise analysis of the air conditioner is an important link for positioning problems of air conditioner maintenance personnel, and how to quickly judge the problems possibly occurring in the air conditioner according to the noise generated by the air conditioner is of great importance for improving the problem positioning efficiency of the air conditioner.
In the prior art, noise analysis of the air conditioner mostly depends on experience of air conditioner maintenance personnel, and the method has low analysis efficiency and does not utilize sharing and inheritance of analysis experience, so that the analysis cost is always high.
In view of this, the embodiment of the present invention analyzes the spectrum curves of the noises of a large number of air conditioners, and finds that the spectrum curves of the noises with abnormal sounds and the noises without abnormal sounds are obviously different, and generally, the spectrum curve of the pleasant or comfortable noises (taking white noises as an example) is a curve with a relatively smooth and evenly distributed trend, please refer to fig. 1, where fig. 1 is an exemplary graph of the noise spectrum curve without abnormal sounds provided by the present invention. In contrast, in the spectrum curve of the noise with abnormal noise, there is usually a certain section or a curve section of a peak with obviously abnormal frequency peak curve or a curve section with obviously deviating from the normal smooth curve trend, please refer to fig. 2, and fig. 2 is an exemplary diagram of the spectrum curve of the noise with abnormal noise provided by the present invention.
The inventors have conducted a large number of tests, analyzed and summarized a large number of test data, and found that when the data deviation is + 15% (deviation-measured value-normal value)/normal value) or more, it indicates that there is a significant abnormal sound, and when the data deviation is less than or equal to + 15%, it indicates that there is no significant abnormal sound. For example, a normal noise data value around a certain frequency is 30dB, and when the test data is higher than 30+30 × 15% — 34.5dB, the noise value corresponding to the frequency is considered as an abnormal noise.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Referring to fig. 3, fig. 3 is a schematic flow chart of a noise analysis method of an air conditioner according to the present invention, the method includes the following steps:
and step S100, acquiring a noise spectrum curve of noise generated by the air conditioner to be analyzed.
In the present embodiment, the noise spectrum curve is generated according to the noise generated during the operation of the air conditioner to be analyzed. The sound pressure level can also be described by sound pressure level, for example, the sound pressure range audible by human ears is 2 x 10^ -5Pa to 20Pa, and the corresponding sound pressure level range is 0dB to 120dB, therefore, the sound pressure level can easily describe the sound pressure with large linear change.
Step S110, analyzing the noise spectrum curve, and determining abnormal data when the air conditioner to be analyzed generates abnormal noise.
In this embodiment, the abnormal data may be abnormal noise data when the air conditioner to be analyzed generates abnormal noise, such as abnormal sound pressure and abnormal frequency, or may be an operation state or other state data when the air conditioner to be analyzed generates abnormal noise, such as an operation mode and a refrigerant amount.
And step S120, analyzing the abnormal noise of the air conditioner to be analyzed according to the abnormal data and the case database.
In this embodiment, the case database may include a plurality of cases, and the cases in the case database are obtained by continuously collecting the spectrum curves of the noise of the air-conditioning abnormal-sound prototype of the plurality of problem prototypes in the market and the laboratory in the early stage, analyzing the spectrum curves to obtain abnormal data, then positioning the cause of the problem generated by the noise, making a corresponding solution, taking the abnormal data of each problem, the corresponding cause of the problem and the solution as one case, and combining the plurality of cases into the case database. When the cases in the case database reach a certain amount, the difference points and the similar points of the test and the abnormal sound frequency spectrum library are searched by utilizing a big data analysis and comparison mode, so that the intelligent analysis of the abnormal noise is carried out.
According to the method provided by the embodiment of the invention, the abnormal data of the abnormal noise is determined through the noise spectrum curve, and then the abnormal noise of the air conditioner to be analyzed can be automatically analyzed through the existing case in the case database, so that the intelligent analysis of the abnormal noise of the air conditioner is realized, and the noise analysis cost of the air conditioner is reduced.
Referring to fig. 4, fig. 4 is a schematic flow chart of another air conditioner noise analysis method provided by the present invention, wherein step S110 includes the following sub-steps:
and a substep S1100 of performing nonlinear fitting processing on the noise spectrum curve to obtain a fitting curve.
In this embodiment, the noise spectrum curve is used to reflect a relationship between an audio frequency generated by the air conditioner to be analyzed and a measured sound pressure, and the abnormal data includes an abnormal sound pressure and an abnormal frequency, that is, the audio frequency and the measured sound pressure when the air conditioner to be analyzed generates an abnormal noise.
In this embodiment, since normal noise is usually a curve with a relatively smooth and uniformly distributed trend, in order to quickly locate an abnormal curve segment in a noise spectrum curve, in the embodiment of the present invention, a nonlinear fitting is performed on the noise spectrum curve to obtain a fitting curve with a relatively smooth and uniformly distributed trend, the nonlinear fitting may be implemented by using a variable substitution or a least square method, and the fitting curve is used for reflecting a relationship between audio frequency generated by an air conditioner to be analyzed and fitting sound pressure.
And a substep S1101 of determining the abnormal actual measurement sound pressure in the noise spectrum curve according to the fitting curve to obtain the abnormal sound pressure.
In this embodiment, as a specific implementation manner, the method for determining the abnormal sound pressure may be:
first, a deviation value between the measured sound pressure and the fitting sound pressure having the same frequency is calculated.
In this embodiment, for any target frequency in the noise frequency curve, a target measured sound pressure corresponding to the target frequency may be obtained, and a target fitted sound pressure corresponding to the target frequency may be obtained from the fitted curve, and then, for the target frequency, the deviation value is (target measured sound pressure-target fitted sound pressure)/target fitted sound pressure.
And secondly, taking the actually measured sound pressure with the deviation value larger than a preset threshold value as abnormal sound pressure.
In this embodiment, the preset threshold may be + 15%.
In substep S1102, an audio frequency corresponding to the abnormal sound pressure in the noise spectrum curve is set as an abnormal frequency.
According to the method provided by the embodiment of the invention, the noise spectrum curve is subjected to nonlinear fitting treatment, so that the abnormal frequency corresponding to the abnormal sound pressure in the noise spectrum curve can be rapidly determined.
On the basis of fig. 3, an embodiment of the present invention further provides a specific implementation manner for analyzing abnormal noise of an air conditioner to be analyzed, referring to fig. 5, fig. 5 is a schematic flow chart of another air conditioner noise analysis method provided by the present invention, and step S120 includes the following sub-steps:
in the substep S1200, if a target case exists in the case database, where the reference sound pressure is matched with the abnormal sound pressure, the reference frequency is matched with the abnormal frequency, and the reference state is matched with the state data, the target reference reason of the target case is used as an initial reference reason for generating abnormal noise of the air conditioner to be analyzed.
In this embodiment, the abnormal data includes abnormal frequency and abnormal sound pressure, and also includes state data of the air conditioner to be analyzed corresponding to the abnormal sound pressure, the case database includes a plurality of cases where the air conditioner generates abnormal noise, and the case database further includes reference sound pressure, reference frequency, reference state and reference reason corresponding to each case.
In this embodiment, the reference sound pressure and the abnormal sound pressure are matched to determine that a difference between the reference sound pressure and the abnormal sound pressure is within a first preset range, the reference frequency and the abnormal frequency are matched to determine that a difference between the reference frequency and the abnormal frequency is within a second preset range, the reference state and the state data are matched to each other to include that the reference state and the state data are completely consistent and/or the reference state and the state data are different to each other within a third preset range, for example, the reference state includes a reference operation mode, if the state data includes an operation mode, the operation mode of the state data is consistent with the reference operation mode, the reference state and the state data are considered to be matched to each other, if the difference between the refrigerant quantity of the state data and the reference refrigerant quantity is within the preset range, the reference state is considered to be matched to both the reference operation mode and the reference refrigerant quantity, and when the reference operation mode is consistent with the operation mode of the state data and the difference between the refrigerant quantity of the state data and the reference refrigerant quantity is within a preset range, the reference operation mode and the operation mode of the state data are considered to be matched.
In this embodiment, in order to more quickly match a target case from the case database, as a specific implementation manner, reference sound pressure, reference frequency, reference state, and reference reason corresponding to each case in the case database may be encapsulated to form data with multiple vector dimensions, and the data is encoded to obtain a corresponding reference code, and then according to the same manner, abnormal frequency, abnormal sound pressure, and state data of the air conditioner to be analyzed corresponding to the abnormal sound pressure are processed to obtain an abnormal data code, and by comparing the abnormal data code with the reference code of each case, the target case may be quickly determined.
According to the method provided by the embodiment of the invention, the target case is matched from the case database in a multi-dimensional manner from the abnormal sound pressure, the abnormal frequency and the state data of the air conditioner to be analyzed, so that the determined initial reference reason for generating the abnormal noise of the air conditioner to be analyzed is more reliable.
In this embodiment, the initial reference reason is only one reference, and the verification is performed according to the actual problem location condition, if the verification is passed, the initial reference reason is the actual reason, and if the verification is not passed, the initial reference reason is not the actual reason, and when the initial reference reason is not the actual reason, in order to facilitate sharing the actual reason corresponding to the abnormal noise, the acceptance of the relevant experience knowledge is achieved, the abnormal data, the actual reason, and the corresponding actual solution of the abnormal noise may be added to the case database, and the case database is expanded, so as to improve the accuracy of the analysis performed according to the case database. Therefore, an embodiment of the present invention further provides a specific implementation manner of updating the case database, please refer to fig. 6, and fig. 6 is a schematic flow chart of another air conditioner noise analysis method provided by the present invention, where the method includes the following steps:
step S200, acquiring an actual solution and an actual reason for solving the abnormal noise generated by the air conditioner to be analyzed.
Step S210, if the target reference solution is inconsistent with the actual solution or the initial reference reason is inconsistent with the actual reason, adding the abnormal data, the actual reason and the actual solution to the case database.
It should be noted that, in order to facilitate management of cases in the case database, a unique number may be set for each case, and a label may also be set for the case, and the label is used to classify, archive and process the case.
According to the method provided by the embodiment, the case database is updated and supplemented, so that on one hand, the accuracy of subsequent analysis according to the case database is improved, and on the other hand, the problem that the analysis result of the abnormal noise which is correctly analyzed possibly causes related experience knowledge to carry over fault along with the iteration of personnel and the loss of data, and the analysis difficulty of subsequent developers is caused is avoided.
In order to more clearly illustrate the above method, the embodiment of the present invention further provides a specific example of heating refrigerant noise for detailed description.
Referring to fig. 7, fig. 7 is an exemplary diagram of a noise spectrum curve and a fitting curve of an air conditioner to be analyzed according to the present invention.
First, according to fig. 7, a deviation value between the measured sound pressure and the fitting sound pressure for each frequency is calculated, and two deviation values greater than a preset threshold are obtained therefrom, as shown in table 1 below.
TABLE 1
| Numerical value | Frequency of | Measured sound pressure | Fitting value | Deviation of |
| Peak value 1 | 100 | 41 | 25 | 64％ |
| Peak value 2 | 200 | 42 | 30 | 40％ |
The abnormal sound pressure is: 41. 42, the corresponding abnormal frequencies are 100 and 200, respectively.
Secondly, acquiring state data of the air conditioner to be analyzed corresponding to the abnormal sound pressure, comprising the following steps:
compressor brand a-model 4
Refrigerant B R321050 g
C operating mode heating
D abnormal frequency 100Hz
E abnormal sound pressure 41dB
As a specific embodiment, the data may be named in the sequence of ABCDE, for example: AM240B3-1050CHD-100E41, wherein M represents brand a of the compressor, B3 represents 1050g R32 refrigerant, and H represents heating, or AH150B4-1000CCD-200E42, wherein H represents brand B of the compressor, B4 represents 1000g R410A refrigerant, and C represents cooling.
And thirdly, analyzing the abnormal noise of the air conditioner to be analyzed according to the abnormal data and the case database.
In the present embodiment, the case information in the case database is shown in table 2 below, for example:
TABLE 2
The analytical procedure was as follows:
step 1: searching whether the data of the compressor with the brand a-model 4 exists in the case database, if not, returning to the condition that the database has no case temporarily, and prompting research personnel or maintenance personnel to enter corresponding reference reasons and reference solutions into the case database in time; and if so, performing the step 2.
Step 2: whether the refrigerant in the heating mode and cases with the same weight or similar weight (for example, the mass difference is about +/-100 g) exist in data corresponding to the brand a-model 4 in case data or not is detected, if not, the data is returned to the database, and research personnel or maintenance personnel can be prompted to enter corresponding reference reasons and reference solutions into the case database in time; if yes, go to step 3.
And step 3: detecting whether a case with the same or similar frequency (for example, the frequency difference is +/-20 Hz) exists in data corresponding to the weight (950g-1150g) of the brand a-model 4 heating-R32 refrigerant, if not, returning to the database temporarily without the case, and prompting a developer or a maintainer to record a corresponding reference reason and a reference solution into a case database in time; if yes, go to step 4
And 4, step 4: detecting whether a case with the same or similar sound pressure (for example, the sound pressure difference is +/-2 dB) exists in data corresponding to the weight (950g-1150g) -frequency (80-120Hz) of the brand a-model 4 heating-R32 refrigerant, if not, returning to the database, and prompting a developer or a maintainer to record a corresponding reference reason and a corresponding reference solution case into the database in time; if yes, directly outputting the corresponding reference reason and the reference solution.
And 5: and comparing the actual solution scheme with the target scheme in the case database, and if the actual solution scheme is the same as the target scheme in the case database, repeatedly inputting the solution scheme. Otherwise, the existing data such as frequency, sound pressure, compressor model and the like are recorded, so that the whole case database is continuously expanded, optimized and perfected.
In order to perform the corresponding steps in the above embodiments and various possible embodiments, an implementation of the air conditioner noise analysis method is given below. Referring to fig. 8, fig. 8 is a functional block diagram of an air conditioner noise analysis device 100 according to the present invention. It should be noted that the basic principle and the technical effects of the air conditioner noise analysis device 100 according to the embodiment of the present invention are the same as those of the foregoing method embodiment, and for a brief description, the corresponding contents of the foregoing method embodiment can be referred to for the parts not mentioned in the embodiment. The air conditioner noise analysis apparatus 100 will be described with reference to fig. 3 to 6, where the air conditioner noise analysis apparatus 100 is applied to a server, and the server stores a case database in advance, and includes: an acquisition module 110, a determination module 120, an analysis module 130, and an update module 140.
The obtaining module 110 is configured to obtain a noise spectrum curve of noise generated by the air conditioner to be analyzed.
The determining module 120 is configured to analyze the noise spectrum curve and determine abnormal data when the air conditioner to be analyzed generates abnormal noise.
As a specific implementation manner, the noise spectrum curve is used to reflect a relationship between an audio frequency generated by the air conditioner to be analyzed and a measured sound pressure, the abnormal data includes an abnormal sound pressure and an abnormal frequency, and the determining module 120 is specifically configured to: carrying out nonlinear fitting processing on the noise spectrum curve to obtain a fitting curve; determining the abnormal actual measurement sound pressure in the noise spectrum curve according to the fitting curve to obtain abnormal sound pressure; and taking the audio frequency corresponding to the abnormal sound pressure in the noise spectrum curve as the abnormal frequency.
As a specific implementation manner, the fitting curve is used to reflect a relationship between an audio frequency generated by the air conditioner to be analyzed and a fitting sound pressure, and the determining module 120 is configured to determine, according to the fitting curve, an actually measured sound pressure that is abnormal in the noise spectrum curve, and when the abnormal sound pressure is obtained, specifically configured to: calculating a deviation value between the actually measured sound pressure and the fitting sound pressure with the same frequency; and taking the actually measured sound pressure with the deviation value larger than a preset threshold value as abnormal sound pressure.
And the analysis module 130 is configured to analyze the abnormal noise of the air conditioner to be analyzed according to the abnormal data and the case database.
As a specific embodiment, the abnormal data includes abnormal frequency, abnormal sound pressure, and state data of the air conditioner to be analyzed corresponding to the abnormal sound pressure, the case database includes a plurality of cases where the air conditioner generates abnormal noise, the case database further includes a reference sound pressure, a reference frequency, a reference state, and a reference reason corresponding to each case, and the analyzing module 130 is specifically configured to: and if a target case with the reference sound pressure matched with the abnormal sound pressure, the reference frequency matched with the abnormal frequency and the reference state matched with the state data exists in the case database, taking the target reference reason of the target case as an initial reference reason of the abnormal noise generated by the air conditioner to be analyzed.
An update module 140 for: acquiring an actual solution and an actual reason for solving abnormal noise generated by the air conditioner to be analyzed; and if the target reference solution is inconsistent with the actual solution or the initial reference reason is inconsistent with the actual reason, adding the abnormal data, the actual reason and the actual solution to a case database, wherein the case database further comprises a reference solution corresponding to each case, and the target case further comprises a target reference solution.
Referring to fig. 9, fig. 9 is a block schematic diagram of a server 10 provided in the present invention, where the server 10 includes a processor 11, a memory 12, a bus 13 and a communication interface 14, and the processor 11, the memory 12 and the communication interface 14 are connected through the bus 13.
The processor 11 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the air conditioner parameter processing method may be implemented by an integrated logic circuit of hardware in the processor 11 or instructions in the form of software. The Processor 11 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components.
The memory 12 is used to store a program, such as the air conditioner noise analyzing apparatus described above. The air conditioner noise analyzing apparatus includes at least one software function module which may be stored in the memory 12 in the form of software or firmware (firmware) or may be solidified in the server 10, respectively. After receiving the execution instruction, the processor 11 executes the program to implement the method for analyzing the noise of the air conditioner disclosed in the following embodiment.
There may be a plurality of communication interfaces 14, and the server 10 may communicate with other devices through different communication interfaces 14.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for analyzing noise of an air conditioner as described above is implemented.
In summary, the present invention provides an air conditioner noise analysis method applied to a server, where a case database is stored in the server in advance, the method including: acquiring a noise spectrum curve of noise generated by an air conditioner to be analyzed; analyzing the noise spectrum curve, and determining abnormal data when the air conditioner to be analyzed generates abnormal noise; and analyzing the abnormal noise of the air conditioner to be analyzed according to the abnormal data and the case database. Compared with the prior art, the abnormal data of the abnormal noise is determined through the noise spectrum curve, and then the abnormal noise of the air conditioner to be analyzed can be automatically analyzed through the existing cases in the case database, so that the intelligent analysis of the abnormal noise of the air conditioner is realized, and the noise analysis cost of the air conditioner is reduced.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. An air conditioner noise analysis method is applied to a server, wherein a case database is stored in the server in advance, and the method comprises the following steps:
acquiring a noise spectrum curve of noise generated by an air conditioner to be analyzed;
analyzing the noise spectrum curve to determine abnormal data when the air conditioner to be analyzed generates abnormal noise;
and analyzing the abnormal noise of the air conditioner to be analyzed according to the abnormal data and the case database.
2. The air conditioner noise analysis method according to claim 1, wherein the noise spectrum curve is used for reflecting a relationship between an audio frequency generated by the air conditioner to be analyzed and a measured sound pressure, the abnormal data includes an abnormal sound pressure and an abnormal frequency, and the step of analyzing the noise spectrum curve and determining the abnormal data when the air conditioner to be analyzed generates the abnormal noise includes:
carrying out nonlinear fitting processing on the noise frequency spectrum curve to obtain a fitting curve;
determining the abnormal actual measurement sound pressure in the noise spectrum curve according to the fitting curve to obtain abnormal sound pressure;
and taking the audio frequency corresponding to the abnormal sound pressure in the noise spectrum curve as abnormal frequency.
3. The air conditioner noise analysis method according to claim 2, wherein the fitting curve is used for reflecting a relationship between an audio frequency generated by the air conditioner to be analyzed and a fitting sound pressure, and the step of determining an actually measured sound pressure in the noise spectrum curve, at which an abnormality occurs, according to the fitting curve, and obtaining the abnormal sound pressure includes:
calculating a deviation value between the actually measured sound pressure and the fitting sound pressure with the same frequency;
and taking the actually measured sound pressure with the deviation value larger than a preset threshold value as the abnormal sound pressure.
4. The method as claimed in claim 1, wherein the abnormal data includes abnormal frequencies, abnormal sound pressures, and state data of the air conditioner to be analyzed corresponding to the abnormal sound pressures, the case database includes a plurality of cases where the air conditioner generates abnormal noise, the case database further includes a reference sound pressure, a reference frequency, a reference state, and a reference cause corresponding to each of the cases, and the analyzing the abnormal noise of the air conditioner to be analyzed according to the abnormal data and the case database includes:
and if a target case with reference sound pressure matched with the abnormal sound pressure, reference frequency matched with the abnormal frequency and reference state matched with the state data exists in the case database, taking a target reference reason of the target case as an initial reference reason of abnormal noise generated by the air conditioner to be analyzed.
5. The air conditioner noise analysis method as claimed in claim 4, wherein the case database further includes a reference solution corresponding to each of the cases, the target case further includes a target reference solution, the method further comprising:
acquiring an actual solution and an actual reason for solving the abnormal noise generated by the air conditioner to be analyzed;
if the target reference solution is inconsistent with the actual solution or the initial reference reason is inconsistent with the actual reason, adding the abnormal data, the actual reason and the actual solution to the case database.
6. An air conditioner noise analysis device applied to a server storing a case database in advance, the device comprising:
the acquisition module is used for acquiring a noise spectrum curve of noise generated by the air conditioner to be analyzed;
the determining module is used for analyzing the noise spectrum curve and determining abnormal data when the air conditioner to be analyzed generates abnormal noise;
and the analysis module is used for analyzing the abnormal noise of the air conditioner to be analyzed according to the abnormal data and the case database.
7. The air conditioner noise analysis device according to claim 6, wherein the noise spectrum curve is used to reflect a relationship between an audio frequency generated by the air conditioner to be analyzed and a measured sound pressure, the abnormal data includes an abnormal sound pressure and an abnormal frequency, and the determining module is specifically configured to:
carrying out nonlinear fitting processing on the noise frequency spectrum curve to obtain a fitting curve;
determining the abnormal actual measurement sound pressure in the noise spectrum curve according to the fitting curve to obtain abnormal sound pressure;
and taking the audio frequency corresponding to the abnormal sound pressure in the noise spectrum curve as abnormal frequency.
8. The apparatus as claimed in claim 6, wherein the abnormal data includes abnormal frequencies, abnormal sound pressures, and status data of the air conditioner to be analyzed corresponding to the abnormal sound pressures, the case database includes a plurality of cases where abnormal noise is generated by the air conditioner, the case database further includes a reference sound pressure, a reference frequency, a reference status, and a reference reason corresponding to each of the cases, and the analyzing module is specifically configured to:
and if a target case with reference sound pressure matched with the abnormal sound pressure, reference frequency matched with the abnormal frequency and reference state matched with the state data exists in the case database, taking a target reference reason of the target case as an initial reference reason of abnormal noise generated by the air conditioner to be analyzed.
9. A server comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the air conditioner noise analysis method according to any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium on which a computer program is stored, the computer program, when being executed by a processor, implementing the air conditioner noise analysis method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110745805.9A CN113446703A (en) | 2021-07-01 | 2021-07-01 | Air conditioner noise analysis method and device, server and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110745805.9A CN113446703A (en) | 2021-07-01 | 2021-07-01 | Air conditioner noise analysis method and device, server and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113446703A true CN113446703A (en) | 2021-09-28 |
Family
ID=77814801
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110745805.9A Withdrawn CN113446703A (en) | 2021-07-01 | 2021-07-01 | Air conditioner noise analysis method and device, server and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113446703A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103761673A (en) * | 2014-01-03 | 2014-04-30 | 浙江大唐乌沙山发电有限责任公司 | Regression method and system for judging index abnormity |
| KR20170019254A (en) * | 2015-08-11 | 2017-02-21 | 엘지전자 주식회사 | Air-conditioner and the method for the same |
| KR20180112587A (en) * | 2017-04-04 | 2018-10-12 | 엘지전자 주식회사 | Air-conditioner System and Method thereof |
| KR20180116577A (en) * | 2017-04-17 | 2018-10-25 | 선문대학교 산학협력단 | Method and apparatus for diagnosing building system |
| CN111023324A (en) * | 2019-12-27 | 2020-04-17 | 宁波奥克斯电气股份有限公司 | Control method and device for resonance noise and air conditioner |
| CN111219842A (en) * | 2019-12-09 | 2020-06-02 | 宁波奥克斯电气股份有限公司 | Noise detection method and device for outdoor unit of air conditioner |
| CN111486547A (en) * | 2020-03-25 | 2020-08-04 | 宁波奥克斯电气股份有限公司 | Air conditioner diagnosis method, diagnosis device, air conditioner and computer readable storage medium |
| CN111578445A (en) * | 2020-04-27 | 2020-08-25 | 青岛海尔空调器有限总公司 | Control method and device for air conditioner and air conditioner |
-
2021
- 2021-07-01 CN CN202110745805.9A patent/CN113446703A/en not_active Withdrawn
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103761673A (en) * | 2014-01-03 | 2014-04-30 | 浙江大唐乌沙山发电有限责任公司 | Regression method and system for judging index abnormity |
| KR20170019254A (en) * | 2015-08-11 | 2017-02-21 | 엘지전자 주식회사 | Air-conditioner and the method for the same |
| KR20180112587A (en) * | 2017-04-04 | 2018-10-12 | 엘지전자 주식회사 | Air-conditioner System and Method thereof |
| KR20180116577A (en) * | 2017-04-17 | 2018-10-25 | 선문대학교 산학협력단 | Method and apparatus for diagnosing building system |
| CN111219842A (en) * | 2019-12-09 | 2020-06-02 | 宁波奥克斯电气股份有限公司 | Noise detection method and device for outdoor unit of air conditioner |
| CN111023324A (en) * | 2019-12-27 | 2020-04-17 | 宁波奥克斯电气股份有限公司 | Control method and device for resonance noise and air conditioner |
| CN111486547A (en) * | 2020-03-25 | 2020-08-04 | 宁波奥克斯电气股份有限公司 | Air conditioner diagnosis method, diagnosis device, air conditioner and computer readable storage medium |
| CN111578445A (en) * | 2020-04-27 | 2020-08-25 | 青岛海尔空调器有限总公司 | Control method and device for air conditioner and air conditioner |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10558766B2 (en) | Method for Modelica-based system fault analysis at the design stage | |
| CN103578568B (en) | The performance test methods of solid state hard disc and device | |
| CN109918279B (en) | Electronic device, method for identifying abnormal operation of user based on log data and storage medium | |
| CN110765414B (en) | Performance index data evaluation method, device, equipment and storage medium | |
| CN108459792B (en) | Flow switching method and device and computer equipment | |
| CN103186439A (en) | Server test system and server stability test method | |
| CN110046633B (en) | Data quality detection method and device | |
| CN110411554B (en) | Motor equipment detection method, device and system | |
| US20210263827A1 (en) | Methods of smart pairing | |
| US11829125B2 (en) | Augmenting reliability models for manufactured products | |
| CN111125697B (en) | Intelligent contract defect triggerability detection method and system based on defect abstract | |
| CN114760201A (en) | Data acquisition method, device and equipment of industrial control equipment and storage medium | |
| CN110716843A (en) | System fault analysis processing method and device, storage medium and electronic equipment | |
| Verma et al. | Android app for intelligent CBM | |
| CN113446703A (en) | Air conditioner noise analysis method and device, server and storage medium | |
| US20090299498A1 (en) | Method and simulator for real-time calculation of state variables of a process model | |
| CN115879354A (en) | Abnormality detection system, abnormality detection method, electronic device, and storage medium | |
| CN116166967B (en) | Data processing method, equipment and storage medium based on meta learning and residual error network | |
| CN108006925A (en) | Air-conditioning stress test method, computer installation, computer-readable recording medium | |
| Rashid et al. | Exploring the platform for expressing SystemVerilog assertions in model based system engineering | |
| CN111504673A (en) | Fault diagnosis method and system for water chilling unit and air conditioner | |
| CN111522725A (en) | SSD performance automatic evaluation method, device, equipment and medium | |
| CN110795308A (en) | Server inspection method, device, equipment and storage medium | |
| JP2009277110A (en) | Software test/development support device, and program for device | |
| CN114492251B (en) | Low-speed flow field divergence processing method, device, equipment and medium in supercomputing environment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210928 |