CN109918533B - Noise processing method and device - Google Patents
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Abstract
The invention discloses a noise processing method and device. Wherein the method comprises the following steps: receiving noise information generated in the running process of equipment; analyzing the noise information; and outputting an analysis result corresponding to the noise information, wherein the analysis result at least comprises a reason for generating the noise information. The invention solves the technical problem of lower accuracy caused by the fact that the noise is needed to be determined by the human ear in the prior art.
Description
Technical Field
The invention relates to the field of data processing, in particular to a noise processing method and device.
Background
Many noises are often generated when equipment is tested, and it is the current practice to collect the noises by an experimenter and judge the generation reason according to the noises so as to find out the fault of the equipment. However, this process requires manual listening and manual judgment and analysis of the quality of the noise.
The mode based on the current manual searching noise cause has the following defects: 1. because the method relies on manual listening recognition completely, the corresponding audio is frequently required to be searched manually through memorization, and the experimenter judgment standards are different, the accuracy and the efficiency are low; 2. because the internal business is complex, the information required by each department is different, so that noise information redundancy or insufficient information can be caused; 3. because the human ears are relied on for distinguishing, certain damage to the human body exists.
Aiming at the problem that the prior art needs to rely on the human ear to hear the noise to determine the noise cause and the accuracy is low, no effective solution is proposed at present.
Disclosure of Invention
The embodiment of the invention provides a noise processing method and device, which at least solve the technical problem of lower accuracy caused by the fact that noise needs to be heard by human ears to determine the cause of noise in the prior art.
According to an aspect of an embodiment of the present invention, there is provided a noise processing method, including: receiving noise information generated in the running process of equipment; analyzing the noise information; and outputting an analysis result corresponding to the noise information, wherein the analysis result at least comprises a reason for generating the noise information.
Further, before receiving the noise information, importing all fields into a database; receiving field selection information, wherein the field selection information is used for indicating a target field corresponding to analysis requirements of noise information; selecting a target field from all the fields according to the field selection information; and storing the corresponding relation between the analysis requirement and the target field.
Further, under the condition that the noise information comprises a noise file, determining analysis requirements corresponding to the noise information; searching a target field corresponding to the noise information from the corresponding relation based on the analysis requirement; and receiving the description information corresponding to the target field.
Further, in the case where the noise information includes a plurality of noise files, displaying all fields, wherein all fields are in a selected state; receiving reverse selection information, wherein the reverse selection information is used for determining a field to be deleted from all fields; removing the fields corresponding to the reverse selection information from all the fields to obtain a target field; and receiving the description information corresponding to the target field.
Further, after receiving noise information generated during operation of the device, noise information including one or more noise files is downloaded.
Further, acquiring a preset analysis rule; and analyzing the noise information according to the analysis rule.
Further, after outputting an analysis result corresponding to the noise information, receiving correction information, wherein the correction information is used for correcting the reason for generating the noise information in the analysis result; and modifying the analysis result according to the correction information.
According to an aspect of an embodiment of the present invention, there is provided a noise processing apparatus, a receiving module, configured to receive noise information generated during an operation of a device; the analysis module is used for analyzing the noise information; and the output module is used for outputting an analysis result corresponding to the noise information, wherein the analysis result at least comprises a reason for generating the noise information.
According to an aspect of an embodiment of the present invention, there is provided a storage medium including a stored program, where the device in which the storage medium is controlled to execute the above-described noise processing method when the program runs.
According to an aspect of an embodiment of the present invention, there is provided a processor for running a program, where the program executes the above-mentioned noise processing method.
In the embodiment of the invention, the noise information is received, the noise information is analyzed, and the analysis result corresponding to the noise information is output, wherein the analysis result at least comprises the reason for generating the noise information. According to the scheme, the noise information is analyzed through the noise analysis system, and the analysis result is output, compared with the manual analysis of the noise information, the noise analysis system has higher efficiency, the technical problem that the accuracy is low because the noise is required to be determined by hearing the noise by the human ear in the prior art is solved, the analysis accuracy can be improved, and the damage to the manual ear is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of a method of processing noise according to an embodiment of the invention;
FIG. 2 is a schematic diagram of full field management according to an embodiment of the invention;
FIG. 3 is a schematic diagram of a user uploading a single noise file according to an embodiment of the invention;
FIG. 4 is a schematic diagram of a user uploading noise information according to an embodiment of the invention;
FIG. 5 is a schematic diagram of a user downloading noise information according to an embodiment of the present invention;
FIG. 6 is a schematic representation of an analysis result according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of the operation of a noise analysis system according to an embodiment of the invention; and
Fig. 8 is a diagram of the use of a noise processing apparatus according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
According to an embodiment of the present invention, there is provided an embodiment of a noise processing method, it should be noted that the steps shown in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order different from that herein.
Fig. 1 is a flowchart of a noise processing method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, receiving noise information generated in the running process of equipment.
Specifically, the device may be a device to be tested which is operated in a laboratory, or may be a device which has been applied, such as an air conditioner or the like. The noise information may be noise information of equipment collected by a worker using the sound collection equipment, sound information in a collected environment, or noise information stripped from the sound information of the environment.
In an alternative embodiment, when the equipment is operated, a worker collects noise information of a preset duration, stores the noise information into a preset format, and uploads the noise information to a noise analysis system, and the noise analysis system receives the noise information.
Step S104, analyzing the noise information.
Specifically, the noise analysis system performs noise analysis on the noise information, and the analysis on the noise information by the noise analysis system may be based on characteristics such as voiceprint and loudness of the noise information.
In an alternative embodiment, multiple fault types and respective pre-stored noise information associated with each fault type may be stored in a database of the noise analysis system. After the noise analysis system receives the noise information uploaded by the staff, the noise analysis system can extract the characteristic information of the noise information, compare the characteristic information of the noise information with the noise information prestored in the database, and determine that the fault type corresponding to the prestored noise information is the analysis result corresponding to the noise information after the prestored noise information closest to the noise information uploaded by the staff is found.
Step S106, outputting an analysis result corresponding to the noise information, wherein the analysis result at least comprises a reason for generating the noise information.
In the above scheme, the noise analysis system may display the analysis result or generate an analysis report and transmit the analysis report to a designated path, so that a worker may view the analysis result at any time.
The analysis result may include sound characteristics obtained by the noise analysis system analyzing the noise information, and may further include information such as a noise cause predicted by the noise analysis system, a trimming scheme, and the like.
As can be seen from the above, the above embodiment of the present application receives the noise information, analyzes the noise information, and outputs the analysis result corresponding to the noise information, wherein the analysis result at least includes the reason for generating the noise information. According to the scheme, the noise information is analyzed through the noise analysis system, and the analysis result is output, compared with the manual analysis of the noise information, the noise analysis system has higher efficiency, the technical problem that the accuracy is low because the noise is required to be determined by hearing the noise by the human ear in the prior art is solved, the analysis accuracy can be improved, and the damage to the manual ear is reduced.
As an alternative embodiment, before receiving the noise information, the method further comprises: importing all fields into a database; receiving field selection information, wherein the field selection information is used for indicating a target field corresponding to analysis requirements of noise information; selecting a target field from all the fields according to the field selection information; and storing the corresponding relation between the analysis requirement and the target field.
Specifically, a field is used to represent a unit in a database, and a row of fields forms a record. The field selection information can be sent by staff, the analysis requirement of the noise information can be determined according to the department where the staff is located, the staff selects required fields from all the fields according to the requirement of the department, and the corresponding relation between the department and the fields is stored.
In an alternative embodiment, because the information required to be filled in by different departments is different, the above full-field management method is adopted, that is, all the fields required by a certain department are imported into the database, then the required fields are selected from all the fields according to the requirements of the different departments, and the corresponding relation between the departments and the fields (that is, the corresponding relation between the requirements and the fields) is saved, so that the management mode of the fields required by file uploading is achieved.
Fig. 2 is a schematic diagram of full field management according to an embodiment of the present invention, and in conjunction with the schematic diagram shown in fig. 2, the noise analysis system displays all fields of the big data center on the interactive interface, and a worker can select a target field from all fields according to analysis requirements of a department where the worker is located on noise, make a mark before the target field, and submit the mark, so that a corresponding relationship between requirements of the department and the target field can be saved.
As an alternative embodiment, in case the noise information comprises a noise file, the method further comprises: determining analysis requirements corresponding to noise information; searching a target field corresponding to the noise information from the corresponding relation based on the analysis requirement; and receiving field information corresponding to the target field.
In the above step, determining the analysis requirement corresponding to the noise information may be determining a department that analyzes the noise information, thereby determining the analysis requirement corresponding to the noise information. After the analysis requirement of the noise information is determined, the target field of the noise information can be determined according to the corresponding relation between the analysis requirement and the target field. The noise analysis system can display the target field on the interactive interface to prompt the staff to fill in, and after the staff fills in the target field, the noise analysis system receives the description information corresponding to the target field.
Fig. 3 is a schematic diagram of uploading a single noise file by a user according to an embodiment of the present invention, and in combination with the schematic diagram shown in fig. 3, after a worker selects a department according to analysis requirements, a noise analysis system displays target fields corresponding to the department according to the department selected by the worker, and the user fills description information corresponding to the target fields according to the noise file included in the noise information to be uploaded, thereby uploading complete noise information.
As an alternative embodiment, in case the noise information comprises a plurality of noise files, the method further comprises: displaying all fields, wherein all fields are in a selected state; receiving reverse selection information, wherein the reverse selection information is used for determining a field to be deleted from all fields; removing the fields corresponding to the reverse selection information from all the fields to obtain a target field; and receiving the description information corresponding to the target field.
Specifically, when a worker needs to upload a plurality of noise files, the noise files can be compressed and uploaded. Because the plurality of noise files may not belong to the same department and may correspond to different analysis requirements, when the noise information received by the noise analysis system includes the plurality of noise files, all fields in the selected state are displayed, and the inverse selection information of the staff is waited to determine the fields removed by the staff. After the fields rejected by the staff are acquired, other fields are used as target fields. The user fills in the description information corresponding to the target field, and the noise analysis system can receive the description information corresponding to the noise information.
Fig. 4 is a schematic diagram of uploading noise information by a user according to an embodiment of the present invention, and referring to fig. 4, the user needs to fill in description information of the noise information according to analysis requirements first, and then upload the noise. After uploading the noise file, the noise analysis system judges whether the uploaded noise file meets preset standards, such as whether the file format is correct. And uploading is successful when the noise file is determined to meet the preset standard, and uploading fails when the noise file is determined to not meet the preset standard.
As an alternative embodiment, after receiving noise information generated during operation of the device, the method further comprises: noise information including one or more noise files is downloaded.
The step of downloading the noise information is similar to the step of uploading the noise information, one noise file can be downloaded independently, a plurality of noise files can be downloaded simultaneously, and the downloaded noise files can be played.
And the noise analysis system also displays the description information corresponding to the noise file, namely the description information filled in when the noise file is uploaded, while the noise information is downloaded.
Fig. 5 is a schematic diagram of downloading noise information by a user according to an embodiment of the present invention, and with reference to fig. 5, fields such as a department identified by a first line, a file name, an original name, etc. are target fields corresponding to the noise information, and information corresponding to the target fields is description information filled in when the noise information is uploaded by the user.
As an alternative example, analyzing noise information includes: acquiring a preset analysis rule; and analyzing the noise information according to the analysis rule.
Specifically, the analysis rule may be a rule preset in the noise analysis system, and the analysis may include loudness detection of the noise information, and determining a cause of noise generation according to a result of the loudness detection.
In an alternative embodiment, the analysis rule may be provided by the detection center, and the noise analysis system performs analysis and comparison on the loudness of the noise information, 1/3 octave and other information and the threshold value of each parameter in the analysis rule through the analysis rule provided by the detection center, so as to return an analysis result of analyzing the noise, where the analysis result includes prediction of the noise cause.
Fig. 6 is a schematic diagram of an analysis result according to an embodiment of the present invention, and in combination with the analysis result of fig. 6, the loudness analysis result is a part of the analysis result of noise information, and the noise information is subjected to loudness analysis to obtain a frequency of failure, so that the noise cause can be determined based on the frequency of failure.
As an alternative embodiment, after outputting the analysis result corresponding to the noise information, the method further includes: receiving correction information, wherein the correction information is used for modifying the reason for generating noise information in the analysis result; and modifying the analysis result according to the correction information.
Specifically, when the analysis result of the noise analysis system is not identical to the analysis result of the staff, the staff can correct the analysis result in the system, for example, the noise cause in the analysis result can be modified by sending correction information, and after receiving the correction information, the noise analysis system can also store the corrected information.
Fig. 7 is a schematic diagram of the operation of a noise analysis system according to an embodiment of the present invention, and in combination with the schematic diagram shown in fig. 7, a user uploads noise information and selects audio to be analyzed in the system, and the system analyzes the selected audio and returns a graph of the analysis and an analysis result.
Example 2
According to an embodiment of the present invention, there is provided an embodiment of a noise processing apparatus, fig. 8 is a use diagram of the noise processing apparatus according to the embodiment of the present invention, as shown in fig. 8, the apparatus including:
And the receiving module 80 is used for receiving noise information generated in the running process of the equipment.
And an analysis module 82, configured to analyze the noise information.
And an output module 84, configured to output an analysis result corresponding to the noise information, where the analysis result includes at least a cause of the noise information.
As an alternative embodiment, before receiving the noise information, the method further comprises: the importing module is used for importing all the fields into the database; the selection information receiving module is used for receiving field selection information, wherein the field selection information is used for indicating a target field corresponding to analysis requirements of noise information; the selection module is used for selecting a target field from all the fields according to the field selection information; and the storage module is used for storing the corresponding relation between the analysis requirement and the target field.
As an alternative embodiment, the above device further comprises: the determining module is used for determining the analysis requirement corresponding to the noise information under the condition that the noise information comprises a noise file; the searching module is used for searching a target field corresponding to the noise information from the corresponding relation based on the analysis requirement; and the first descriptive information receiving module is used for receiving descriptive information corresponding to the target field.
As an alternative embodiment, the apparatus includes: the display module is used for displaying all fields in the case that the noise information comprises a plurality of noise files, wherein all fields are in a selected state; the reverse selection information receiving module is used for receiving reverse selection information, wherein the reverse selection information is used for determining the fields to be deleted from all the fields; the deleting module is used for removing the fields corresponding to the reverse selection information from all the fields to obtain target fields; and the second descriptive information receiving module is used for receiving the descriptive information corresponding to the target field.
As an alternative embodiment, after receiving noise information generated during operation of the device, the apparatus further includes: and the downloading module is used for downloading noise information comprising one or more noise files.
As an alternative embodiment, the analysis module comprises: the acquisition sub-module is used for acquiring a preset analysis rule; and the analysis submodule is used for analyzing the noise information according to the analysis rule.
As an alternative embodiment, the above device further comprises: the correction information receiving module is used for receiving correction information after the analysis result corresponding to the noise information is output, wherein the correction information is used for modifying the reason for generating the noise information in the analysis result; and the modification module is used for modifying the analysis result according to the modification information.
Example 3
According to an embodiment of the present invention, there is provided a storage medium including a stored program, wherein the program, when executed, controls an apparatus in which the storage medium is located to execute the noise processing method described in embodiment 1.
Example 4
According to an embodiment of the present invention, there is provided a processor configured to execute a program, wherein the program executes the noise processing method described in embodiment 1.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (7)
1. A method of processing noise, comprising:
receiving noise information generated in the running process of equipment; under the condition that the noise information comprises a noise file, determining an analysis requirement corresponding to the noise information; searching a target field corresponding to the noise information from the corresponding relation based on the analysis requirement; receiving description information corresponding to the target field;
analyzing the noise information, wherein the noise analysis system performs noise analysis on the noise information, and a database of the noise analysis system stores the fault type and pre-stored noise information corresponding to the fault type;
Outputting an analysis result corresponding to the noise information, wherein the analysis result at least comprises a reason for generating the noise information, the noise analysis system displays the analysis result and generates an analysis report, the analysis report is sent to a designated path, and the analysis result further comprises a correction scheme;
Before receiving the noise information, the method further comprises: importing all fields into a database; receiving field selection information, wherein the field selection information is used for indicating a target field corresponding to analysis requirements of the noise information; selecting the target field from the all fields according to the field selection information; storing the corresponding relation between the analysis requirement and the target field;
Wherein analyzing the noise information includes: acquiring a preset analysis rule; analyzing the noise information according to the analysis rule; the analysis comprises the steps of carrying out loudness detection on the noise information, determining the reason for generating the noise information according to the result of the loudness detection, obtaining unqualified frequency through carrying out loudness analysis on the noise information, and determining the reason for generating the noise information based on the unqualified frequency;
The loudness detection is carried out on the noise information, and the reason for generating the noise information is determined according to the loudness detection result, wherein the reason comprises the following steps: and analyzing and comparing the loudness of the noise information and the 1/3 octave information with threshold values of all parameters in the analysis rule to obtain the prediction of the noise cause.
2. The method of claim 1, wherein in the event that the noise information comprises a plurality of noise files, the method further comprises:
displaying all fields, wherein all fields are in a selected state;
Receiving reverse selection information, wherein the reverse selection information is used for determining a field to be deleted from all the fields;
removing the fields corresponding to the reverse selection information from all the fields to obtain a target field;
and receiving the description information corresponding to the target field.
3. The method of claim 1, wherein after receiving noise information generated during operation of the device, the method further comprises: noise information including one or more noise files is downloaded.
4. The method according to claim 1, wherein after outputting the analysis result corresponding to the noise information, the method further comprises:
receiving correction information, wherein the correction information is used for modifying the reason for generating noise information in the analysis result;
and modifying the analysis result according to the correction information.
5. A noise processing apparatus, comprising:
The receiving module is used for receiving noise information generated in the running process of the equipment; under the condition that the noise information comprises a noise file, determining an analysis requirement corresponding to the noise information; searching a target field corresponding to the noise information from the corresponding relation based on the analysis requirement; receiving description information corresponding to the target field;
the analysis module is used for analyzing the noise information, wherein the noise analysis system performs noise analysis on the noise information, and a database of the noise analysis system stores the fault type and pre-stored noise information corresponding to the fault type;
The output module is used for outputting an analysis result corresponding to the noise information, wherein the analysis result at least comprises a reason for generating the noise information, the noise analysis system displays the analysis result and generates an analysis report, the analysis report is sent to a designated path, and the analysis result further comprises a correction scheme;
The apparatus further comprises, prior to receiving the noise information: the importing module is used for importing all the fields into the database; the selection information receiving module is used for receiving field selection information, wherein the field selection information is used for indicating a target field corresponding to analysis requirements of noise information; the selection module is used for selecting a target field from all the fields according to the field selection information; the storage module is used for storing the corresponding relation between the analysis requirement and the target field;
Wherein the analysis module further comprises: the acquisition sub-module is used for acquiring a preset analysis rule; the analysis submodule is used for analyzing the noise information according to the analysis rule, wherein the analysis comprises the steps of detecting the loudness of the noise information, determining the reason for generating the noise information according to the result of the loudness detection, obtaining unqualified frequency through the loudness analysis of the noise information, and determining the reason for generating the noise information based on the unqualified frequency;
The loudness detection is carried out on the noise information, and the reason for generating the noise information is determined according to the loudness detection result, wherein the reason comprises the following steps: and analyzing and comparing the loudness of the noise information and the 1/3 octave information with threshold values of all parameters in the analysis rule to obtain the prediction of the noise cause.
6. A storage medium comprising a stored program, wherein the program, when run, controls a device in which the storage medium is located to perform the noise processing method of any one of claims 1 to 4.
7. A processor for running a program, wherein the program when run performs the noise processing method of any one of claims 1 to 4.
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| CN105489215A (en) * | 2015-11-18 | 2016-04-13 | 珠海格力电器股份有限公司 | Noise source identification method and system |
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| CN108460077A (en) * | 2018-01-03 | 2018-08-28 | 北京字节跳动网络技术有限公司 | A kind of index analysis method, system and computer readable storage medium |
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| US20140068538A1 (en) * | 2012-09-04 | 2014-03-06 | Lsi Corporation | Automated noise characterization and completeness and correctness of noise deliverables |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105489215A (en) * | 2015-11-18 | 2016-04-13 | 珠海格力电器股份有限公司 | Noise source identification method and system |
| CN107894940A (en) * | 2017-11-09 | 2018-04-10 | 郑州云海信息技术有限公司 | A kind of log analysis device and method |
| CN108460077A (en) * | 2018-01-03 | 2018-08-28 | 北京字节跳动网络技术有限公司 | A kind of index analysis method, system and computer readable storage medium |
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