CN113641562A - Fault alarm method and device for noise reduction cabinet, computer equipment and storage medium - Google Patents
Fault alarm method and device for noise reduction cabinet, computer equipment and storage medium Download PDFInfo
- Publication number
- CN113641562A CN113641562A CN202110913131.9A CN202110913131A CN113641562A CN 113641562 A CN113641562 A CN 113641562A CN 202110913131 A CN202110913131 A CN 202110913131A CN 113641562 A CN113641562 A CN 113641562A
- Authority
- CN
- China
- Prior art keywords
- fault
- noise
- noise signal
- noise reduction
- equipment
- 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.)
- Pending
Links
- 230000009467 reduction Effects 0.000 title claims abstract description 180
- 238000000034 method Methods 0.000 title claims abstract description 60
- 238000012545 processing Methods 0.000 claims abstract description 30
- 238000012423 maintenance Methods 0.000 claims abstract description 15
- 230000003321 amplification Effects 0.000 claims description 44
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 44
- 230000007257 malfunction Effects 0.000 claims description 34
- 238000001914 filtration Methods 0.000 claims description 20
- 238000004590 computer program Methods 0.000 claims description 11
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 230000008569 process Effects 0.000 description 18
- 238000004364 calculation method Methods 0.000 description 16
- 238000010586 diagram Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 8
- 230000007246 mechanism Effects 0.000 description 5
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/324—Display of status information
- G06F11/327—Alarm or error message display
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The present disclosure relates to the field of fault monitoring technologies, and is applicable to the field of finance, for example, banks, and in particular, to a fault alarm method and apparatus for a noise reduction cabinet, a computer device, and a storage medium. The method comprises the steps of obtaining original noise in a noise reduction cabinet to obtain an original noise signal, wherein the original noise comprises working noise generated when equipment in the noise reduction cabinet normally operates and fault noise generated when equipment in the noise reduction cabinet fails; processing the original noise signal to obtain a fault noise signal; obtaining the fault type of the equipment according to the fault noise signal; generating a fault alarm sound according to the fault type; and outputting the fault alarm sound, and alarming the fault of the equipment in the noise reduction cabinet. By the method, the alarm of the equipment fault in the noise reduction cabinet is realized, and the problem that operation and maintenance personnel cannot find that the equipment in the noise reduction cabinet has the fault after the equipment fault alarm sound in the noise reduction cabinet is offset by the noise reduction system is solved.
Description
Technical Field
The text relates to the technical field of fault monitoring, is applicable to the financial field, and particularly relates to a fault alarm method and device for a noise reduction cabinet, computer equipment and a storage medium.
Background
With the continuous development of science and technology, the deployment density of machine room equipment is also continuously improved. The increase of equipment in the machine room enables full data storage and high-speed transmission to provide high-quality service for users, meanwhile, the probability of equipment with faults is increased, and how to timely find that the equipment in the machine room has faults is a main problem in the prior art.
The mode that the equipment in the prior art rack all adopted the alarm sound suggests that user equipment breaks down, the alarm sound that different fault situations correspond is also different, for example, when equipment load is too big or the temperature is too high, equipment is in abnormal operating condition, equipment sends the sound intensity and is greater than the alarm sound of equipment when normally working, the noise intensity of equipment also strengthens by a wide margin, when serious trouble shutdown or a plurality of fan trouble appear in equipment, the noise intensity weakens by a wide margin, equipment sends the alarm sound of being convenient for discernment, and after equipment self system detects out the trouble, equipment sends the unusual sound that is different from normal operating condition as the alarm sound.
However, in the prior art, due to the arrangement of the noise reduction system, especially the cabinet of the active noise reduction system, when the equipment in the noise reduction cabinet fails, the powerful noise reduction technology eliminates the fault noise generated by the equipment in the cabinet under the condition of the fault, so that operation and maintenance personnel cannot find the fault in time, and the continuous operation of the fault equipment brings serious loss to enterprises.
Now, a fault alarm method for a noise reduction cabinet is needed, so that the problem that in the prior art, after fault alarm sound of equipment in the noise reduction cabinet is offset by a noise reduction system, operation and maintenance personnel cannot find that the equipment in the noise reduction cabinet has a fault is solved.
Disclosure of Invention
In order to solve the problem that equipment fault noise is eliminated by a noise reduction cabinet in the prior art, so that operation and maintenance personnel cannot find that equipment has a fault through the fault noise, the embodiment of the text provides a fault alarm method and device for the noise reduction cabinet, computer equipment and a storage medium. The method and apparatus of the embodiments herein may be applied to the financial field, such as application scenarios like banking, and may also be applied to other relevant scenarios, which are not limited herein.
Embodiments herein provide a method for alarming a fault of a noise reduction cabinet, including,
acquiring original noise in a noise reduction cabinet to obtain an original noise signal, wherein the original noise comprises working noise generated when equipment in the noise reduction cabinet normally operates and fault noise generated when the equipment in the noise reduction cabinet fails, and the original noise is eliminated by a noise reduction system of the noise reduction cabinet after the original noise signal is acquired;
processing the original noise signal to obtain a fault noise signal;
obtaining the fault type of the equipment in the noise reduction cabinet according to the fault noise signal;
generating a fault alarm sound according to the fault type;
and outputting the fault alarm sound, and alarming the fault of the equipment in the noise reduction cabinet.
Embodiments herein also provide a fault warning device of a noise reduction cabinet, including,
the noise signal acquisition unit is used for acquiring original noise in the noise reduction cabinet to obtain an original noise signal, wherein the original noise comprises working noise generated when equipment in the noise reduction cabinet normally operates and fault noise generated when the equipment in the noise reduction cabinet breaks down, and after the original noise signal is acquired, the original noise is eliminated by a noise reduction system of the noise reduction cabinet;
the noise signal processing unit is used for processing the original noise signal to obtain a fault noise signal;
the fault type determining unit is used for obtaining the fault type of the equipment in the noise reduction cabinet through the fault noise signal;
a fault alarm sound generating unit which generates a fault alarm sound according to the fault type;
and the fault alarm sound output unit outputs the fault alarm sound and alarms the fault of the equipment in the noise reduction cabinet.
Embodiments herein also provide a computer device comprising a memory, a processor, and a computer program stored on the memory, the processor implementing the above-described method when executing the computer program.
Embodiments herein also provide a computer storage medium having a computer program stored thereon, the computer program, when executed by a processor of a computer device, performing the above-described method.
By utilizing the embodiment of the text, when equipment in the noise reduction cabinet has a fault, fault noise different from the working noise of the noise reduction cabinet during normal working is generated, the original noise comprising the working noise and the fault noise is obtained, the original noise signal is obtained, the original noise is processed before the noise reduction system eliminates the original noise, so that the fault noise in the original noise is obtained for alarming, the original noise signal is processed to obtain the fault noise signal, the fault type of the equipment in the noise reduction cabinet is obtained according to the fault noise signal, the accuracy of fault alarming is improved, the fault alarm sound is generated according to the fault type, the fault reason is preliminarily judged by the fault alarm sound, finally the fault alarm sound is output, the fault generated by the equipment in the noise reduction cabinet is alarmed, and the problem that the fault alarm sound of the equipment in the noise reduction cabinet is counteracted by the noise reduction system is solved, the operation and maintenance personnel can not find the problem that the equipment in the noise reduction cabinet fails.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a fault warning device of a noise reduction cabinet according to an embodiment of the present disclosure;
FIG. 2 is a flow chart illustrating a method for alarming a fault in a noise reduction cabinet according to an embodiment of the disclosure;
fig. 3 is a detailed structural diagram of a fault alarm device of a noise reduction cabinet according to an embodiment of the present disclosure;
FIG. 4 is a flow chart illustrating the calculation of a fault noise signal according to embodiments herein;
FIG. 5 is a flow chart illustrating the calculation of fault types as embodied herein;
FIG. 6 is a circuit diagram of a rectifying-filtering circuit according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a computer device according to an embodiment of the present disclosure.
[ description of reference ]:
101. a noise signal acquisition unit;
102. a noise signal processing unit;
103. a fault type determination unit;
104. a failure warning sound generation unit;
105. a malfunction alarm sound output unit;
301. a noise signal acquisition unit;
302. a noise signal processing unit;
3021. an equipment operation condition acquisition module;
3022. a working noise model building module;
3023. a working noise signal calculation module;
3024. a noise signal amplification module;
3025. a noise signal filtering module;
303. a fault type determination unit;
3031. a characteristic parameter calculation module;
3032. an association relationship establishing module;
3033. a fault type calculation module;
304. a failure warning sound generation unit;
305. a malfunction alarm sound output unit;
601. an adjustable transformer;
602. a diode;
603. an inductance;
604. a capacitor;
702. a computer device;
704. a processing device;
706. a storage resource;
708. a drive mechanism;
710. an input/output module;
712. an input device;
714. an output device;
716. a presentation device;
718. a graphical user interface;
720. a network interface;
722. a communication link;
724. a communication bus.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments herein without making any creative effort, shall fall within the scope of protection.
Fig. 1 is a schematic structural diagram of a fault alarm device of a noise reduction cabinet according to an embodiment of the present disclosure, and includes a noise signal acquisition unit 101, a noise signal processing unit 102, a fault type determination unit 103, a fault alarm sound generation unit 104, and a fault alarm sound output unit 105. In this context, the noise reduction equipment in the cabinet may include a plurality of pieces of equipment, such as a plurality of servers, and the like, and the type of the equipment in the noise reduction cabinet is not limited herein.
The noise signal obtaining unit 101 obtains an original noise including the working noise and the fault noise to obtain an original noise signal, and after the original noise signal is obtained, the original noise is eliminated by a noise reduction system of the noise reduction cabinet;
the noise signal processing unit 102 processes the original noise signal, and filters a working noise signal in the original noise signal to obtain a fault noise signal;
the fault type determining unit 103 is used for obtaining the fault type of the equipment in the noise reduction cabinet according to the fault noise signal;
the fault warning sound generating unit 104 is used for generating fault warning sounds according to the fault types, wherein the different fault types generate the fault warning sounds with different loudness, so that operation and maintenance personnel can preliminarily judge the fault reason of the equipment in the noise reduction cabinet according to the loudness of the fault warning sounds;
and a fault alarm sound output unit 105 for outputting the fault alarm sound and alarming the fault of the equipment in the noise reduction cabinet.
Fig. 2 is a flowchart of a method for alarming a fault in a noise reduction cabinet according to an embodiment of the present disclosure, where a process of alarming a fault in a noise reduction cabinet is specifically described in the present diagram, and specifically includes:
step 201: acquiring original noise in a noise reduction cabinet to obtain an original noise signal, wherein the original noise comprises working noise generated when equipment in the noise reduction cabinet normally operates and fault noise generated when the equipment in the noise reduction cabinet fails, and the original noise is eliminated by a noise reduction system of the noise reduction cabinet after the original noise signal is acquired;
step 202: processing the original noise signal to obtain a fault noise signal;
step 203: obtaining the fault type of the equipment in the noise reduction cabinet according to the fault noise signal;
step 204: generating a fault alarm sound according to the fault type;
step 205: and outputting the fault alarm sound, and alarming the fault of the equipment in the noise reduction cabinet.
In this embodiment, when the equipment in the noise reduction cabinet fails, the generated fault noise and the working noise of the equipment in the noise reduction cabinet are eliminated by the noise reduction system of the noise reduction cabinet together, so that operation and maintenance personnel cannot find the fault of the equipment in the noise reduction cabinet, and if the fault equipment runs continuously, serious loss is caused.
By the method of the embodiment, when equipment in the noise reduction cabinet has a fault, fault noise different from the working noise of the equipment in the noise reduction cabinet in normal working is generated, original noise comprising the working noise and the fault noise is obtained, an original noise signal is obtained, the original noise is processed before the noise reduction system eliminates the original noise, so that the alarm is performed by the fault noise in the original noise, the original noise signal is processed to obtain a fault noise signal, the fault type of the equipment in the noise reduction cabinet is obtained according to the fault noise signal, the accuracy of fault alarm is improved, a fault alarm sound is generated according to the fault type, the fault reason is preliminarily judged by the fault alarm sound, the fault alarm sound is finally output, the alarm is performed on the fault of the equipment in the noise reduction cabinet, and the problem that the fault alarm sound of the equipment in the noise reduction cabinet is counteracted by the noise reduction system is solved, the operation and maintenance personnel can not find the problem that the equipment in the noise reduction cabinet fails.
According to an embodiment herein, in order to improve the accuracy of the fault alarm, the step 202 of processing the raw noise signal to obtain the fault noise signal further includes amplifying the raw noise signal to improve the identification accuracy of the raw noise signal, so as to filter the amplified working noise signal in the raw noise signal to obtain the fault noise signal.
In this step, the original noise signal in the noise reduction cabinet is mixed with a working noise signal, and the recognition accuracy is low, and it is difficult to accurately process the original noise signal, so the original noise signal is firstly amplified according to a certain amplification factor, the amplification factor can obtain a plurality of original noise signals by obtaining the original noise for a plurality of times, then different amplification factors are respectively set for the original noise signal to obtain a plurality of amplified original noise signals, signal recognition is respectively performed, and the amplification factor with the highest recognition accuracy is selected as the amplification factor of the noise reduction cabinet. In this embodiment, the original noise signal may be amplified using a precision amplifier OP27 bipolar low noise amplifier.
In order to accurately identify the fault noise signal, a working noise signal is filtered from the amplified original noise signal to obtain the fault noise signal, so that the interference of the working noise on fault alarm is removed.
According to an embodiment of the present disclosure, before filtering the working noise signal in the amplified original noise signal to obtain the fault noise signal, the method further includes obtaining the working noise signal according to a current operating condition of the device in the noise reduction cabinet and an amplification factor of the amplified original noise signal.
In this step, the working noise signal is the acquired noise generated when the equipment in the noise reduction cabinet normally operates, and under the condition that the equipment in the noise reduction cabinet normally operates, the working noise is a stable waveform and changes along with the change of the operation condition of the equipment, so that the working noise signal before amplification can be obtained according to the current operation condition of the equipment, then the working noise signal before amplification is amplified according to the amplification factor of the amplified original noise signal, and finally the amplified working noise signal is filtered from the amplified original noise signal to obtain the fault noise signal. In embodiments herein, the operating condition of the device may include, but is not limited to, a load condition of the device.
According to an embodiment of the present disclosure, obtaining the working noise signal according to the current operating condition of the device in the noise reduction cabinet and the amplification factor of the amplified original noise signal further includes establishing a working noise model according to a plurality of operating conditions of the device in the noise reduction cabinet and the working noise signal before amplification corresponding to each operating condition; acquiring the current running condition of equipment in the noise reduction cabinet; and obtaining the working noise signal according to the working noise model, the current running condition of the equipment and the amplification factor of the amplified original noise signal.
In this step, in order to obtain a working noise signal before amplification according to the current operating condition of the device, a working noise model corresponding to the device and the working noise signal before amplification is first established, then the current operating condition of the device is obtained, the working noise signal before amplification of the device is obtained according to the established working noise model, and finally the working noise signal before amplification is amplified according to the amplification factor of the original noise signal after amplification to obtain the working noise signal.
According to an embodiment of the present disclosure, in order to alarm the fault in the noise reduction cabinet and provide more alarm extension schemes for a user, the step 203 obtaining the fault type of the equipment in the noise reduction cabinet through the fault noise signal further includes calculating a characteristic parameter of the fault noise signal; and obtaining the fault type of the equipment in the noise reduction cabinet according to the characteristic parameters of the fault noise signals and the incidence relation between the characteristic parameters of the fault noise signals and the fault type.
In this embodiment, when a device in a cabinet fails, a fault noise different from an operating noise when the device in the cabinet stably operates is emitted, the characteristic parameter of the fault noise waveform varies according to the fault type of the device in the cabinet, but the characteristic parameters of the fault noise waveforms generated by the same fault type are the same, and the fault of the device in the cabinet in this embodiment may be of the following types:
(1) when the equipment load is too large or the temperature is too high, the equipment is in an abnormal working state, and the noise intensity is greatly enhanced.
(2) When the equipment is in serious failure and stops running or a plurality of fans are in failure, the noise intensity is greatly weakened.
(3) When the system of the equipment detects a fault, the built-in alarm of the equipment sends out an alarm sound different from the first noise.
Therefore, the type of the failure can be determined based on the characteristic parameters of the failure noise waveform.
In this step, the characteristic parameters of the fault noise signal are calculated, wherein the characteristic parameters comprise amplitude and/or frequency and are associated with the characteristic parameters and the fault type, and the fault type is determined. The characteristic parameter of the fault noise signal may be calculated by a rectifying-filtering circuit, or may be calculated in other manners, which is not limited herein.
According to an embodiment of the present disclosure, before generating a fault warning sound according to the fault type, the method further includes obtaining fault noise under the condition of multiple faults of the equipment in the noise reduction cabinet to obtain multiple fault noise signals; respectively calculating characteristic parameters of each fault noise signal; and dividing a plurality of fault conditions of the equipment in the noise reduction cabinet into a plurality of fault types according to the characteristic parameters of the fault noise signals, and establishing the incidence relation between the characteristic parameters of the fault noise signals and the fault types.
In this step, a plurality of faults are artificially generated in the noise reduction cabinet, so as to obtain fault noise of each fault and obtain a noise signal of each fault noise, and after calculating a characteristic parameter of each fault noise signal, an association relationship between a fault characteristic parameter and a fault type is established.
According to an embodiment of the present disclosure, in order to further alarm a fault in the noise reduction cabinet, the step 204 of generating a fault warning sound according to the fault type further includes generating fault warning sounds with different loudness according to different fault types, so that an operation and maintenance person may determine a fault cause of equipment in the noise reduction cabinet according to the loudness of the warning sounds. In this embodiment, the malfunction alerting sound may be generated according to a preset loudness of the malfunction alerting sound corresponding to each malfunction type.
According to an embodiment of the present disclosure, after obtaining the fault type of the device in the noise reduction cabinet through the fault noise signal in step 203, the method further includes sending the fault type to a designated alarm server, so that operation and maintenance personnel can timely handle a fault occurring in the device in the noise reduction cabinet.
Fig. 3 is a detailed structural diagram of a fault alarm device of a noise reduction cabinet according to an embodiment of the present disclosure, and in this diagram, a detailed structure of the fault alarm device of the noise reduction cabinet is described, and specifically includes a noise signal acquisition unit 301, a noise signal processing unit 302, a fault type determination unit 303, a fault alarm sound generation unit 304, and a fault alarm sound output unit 305.
According to an embodiment of the present disclosure, the noise signal obtaining unit 301 obtains original noise in the noise reduction cabinet, where the original noise includes working noise generated when devices in the noise reduction cabinet operate normally and fault noise generated when the devices in the noise reduction cabinet are in fault, and the noise signal obtaining unit 301 converts the original noise into an original noise signal, where the original noise signal may be an analog signal, and then sends the original noise signal to the noise signal processing unit 302 for further processing, so as to perform fault alarm on the devices in the noise reduction cabinet through the original noise signal. After the noise signal obtaining unit 301 obtains the original noise signal, the original noise in the noise reduction cabinet is eliminated by the noise reduction system of the noise reduction cabinet. In embodiments herein, the noise acquisition unit may include, but is not limited to, a microphone.
According to an embodiment of the present disclosure, the noise signal processing unit 302 further includes an apparatus operation condition obtaining module 3021, configured to obtain an operation condition of an apparatus in the noise reduction cabinet, where the operation condition may be a load condition of the apparatus. The obtained operation condition of the equipment in the noise reduction cabinet is sent to a working noise model building module 3022 for building a working noise model, or the operation condition of the equipment in the noise reduction cabinet is sent to a working noise signal calculating module 3023 for calculating a working noise signal of the current equipment.
According to an embodiment herein, the noise signal processing unit 302 further comprises an operational noise model building module 3022 for building the operational noise model.
Firstly, under the condition that the equipment in the noise reduction cabinet normally works, the equipment is manually divided into a plurality of load intervals, the equipment is still in a normal operation state between the lowest load and the highest load of the manual division, then the load of the equipment in the noise reduction cabinet is manually adjusted to each divided load interval, a noise reduction system of the noise reduction cabinet is closed, so that the working noises are temporarily reserved, then a working noise signal corresponding to each working noise is obtained through a noise signal obtaining unit 101, the working noise signal is a noise signal which is not amplified by a noise signal amplifying module 3024, a working noise model is established according to the working noise signals before amplification and the equipment load interval corresponding to each working noise signal, and the working noise corresponding to each load interval can be obtained by using the working noise model.
In addition, in order to ensure the accuracy of the working noise model, at least three discontinuous working noise signal acquisition points can be selected in each load interval, the load of the equipment is adjusted to each working noise signal acquisition point to obtain the working noise of each working noise signal acquisition point, and then each working noise is added and then averaged to be used as the working noise of the load interval.
In addition, in order to ensure the accuracy of the working noise model, at least 3 discontinuous working noise signal acquisition points can be selected in each load interval, then the load of the equipment is adjusted to each working noise signal acquisition point in each load interval according to the sequence of the load intervals, a plurality of working noise signals are obtained in each load interval, then the plurality of working noise signals are added and then averaged to be used as the working noise signals of the load interval, because the obtained working noise signals do not need to be analyzed and processed, the step of amplifying the working noise signals is omitted for simplifying the calculation process, and the working noise signals before amplification corresponding to each load interval are finally obtained.
According to an embodiment of the present disclosure, the noise signal processing unit 302 further includes an operating noise signal calculating module 3023, where the operating noise under the current device operating condition is obtained according to the current load condition of the device in the noise reduction cabinet acquired by the device operating condition acquiring module 3021 and according to an operating noise model pre-established by the operating noise model establishing module 3022, and at this time, the calculated operating noise is not amplified by the noise signal amplifying module. The calculated non-amplified working noise signal is then sent to the noise signal amplification module 3024, so that the noise signal amplification module 3024 amplifies the non-amplified working noise according to the current amplification factor.
According to an embodiment of the present disclosure, the noise signal processing unit 302 further includes a noise signal amplifying module 3024, which amplifies the original noise signal acquired by the noise signal acquiring unit 301 and the unamplified working noise signal acquired by the working noise signal calculating module 3023 by the same amplification factor, so as to improve the accuracy of the fault alarm, and then sends the amplified original noise signal and the working noise signal to a noise signal filtering module 3025, so as to filter the working noise signal in the original noise signal, so as to obtain the fault noise signal.
According to an embodiment of the present disclosure, the noise signal processing unit 302 further includes a noise signal filtering module 3025, which receives the amplified original noise signal and the working noise signal sent by the noise signal amplifying module 3024, and then filters the working noise signal in the amplified original noise signal to obtain a fault noise signal, in this embodiment, the filtering method may be to remove a signal having the same characteristic parameter as the working noise from the amplified original noise, where the remaining part is the fault noise signal, and the characteristic parameter may include an amplitude and/or a frequency, or other filtering methods may also be used, which is not limited herein. The fault noise signal is sent to a fault type determination unit 303 in order to determine the fault type of the fault noise signal.
According to an embodiment of the present disclosure, the fault type determining unit 303 further includes a characteristic parameter calculating module 3031, which calculates a characteristic parameter of the fault noise signal after receiving the fault noise signal sent by the noise signal processing unit 302, where the characteristic parameter may include amplitude and/or frequency, and then calculates a fault type of the fault noise signal through an association relationship between the characteristic parameter of the fault noise signal and the fault type established by the association relationship establishing module 3032. In the present embodiment, the characteristic parameter of the fault noise signal may be calculated by a rectifying-filtering circuit.
If a fault occurs in the equipment in the noise reduction cabinet, the fault noise signal only includes information of one fault, and therefore, a group of characteristic parameters obtained by the characteristic parameter calculation module 3031 can obtain a fault type through the association relationship between the fault noise signal characteristic parameters and the fault type established by the association relationship establishment module 3032. However, if the equipment in the noise reduction cabinet has multiple different faults, the fault noise signal includes multiple faults, and therefore, multiple sets of characteristic parameters obtained by the characteristic parameter calculation module 3031 can obtain multiple fault types through the association relationship between the characteristic parameters of the fault noise signal and the fault types established by the association relationship establishment module 3032.
According to an embodiment of the present disclosure, the fault type determining unit 303 further includes an association establishing module 3032, configured to establish an association between the fault noise signal characteristic parameter and the fault type in advance.
Firstly, a plurality of faults are manually manufactured in the noise reduction cabinet, and the noise signal acquisition unit 301 acquires a fault noise signal of each fault type, where the fault noise signal does not include a working noise signal. Then, the characteristic parameter of each fault noise signal is calculated by the characteristic parameter calculation module 3031. Finally, according to the characteristic parameters of each fault noise signal, dividing a plurality of fault conditions of the equipment in the noise reduction cabinet into a plurality of fault types, and establishing an association relationship between the characteristic parameters of the fault noise signals and the fault types, wherein the association relationship further includes an amplification factor for amplifying the original noise signals in the noise signal amplification module 3024, so that the fault noise signals obtained from the amplified original noise signals are matched with the obtained noise signals before amplifying each fault noise.
According to an embodiment of the present disclosure, the fault type determining unit 303 further includes a fault type calculating module 3033, and calculates a fault type corresponding to the current fault noise signal according to the characteristic parameter of the current fault noise signal calculated by the characteristic parameter calculating module 3031 and the association relationship between the characteristic parameter of the fault noise signal and the fault type pre-established by the association relationship establishing module 3032. The calculation method can be as follows: if a plurality of groups of characteristic parameters are obtained by the characteristic parameter calculation module 3031 according to the characteristic parameters of the current fault noise signal, the fault type calculation module 3033 determines the fault type corresponding to each group of characteristic parameters respectively, so as to identify a plurality of faults occurring in the equipment in the noise reduction cabinet, and facilitate the fault alarm sound generation unit 304 to generate fault alarm sounds of each fault type.
In addition, when the fault type calculation module 3033 calculates the fault type of the equipment in the noise reduction cabinet, the fault type is sent to a designated alarm server, so that operation and maintenance personnel can timely handle the fault of the equipment in the noise reduction cabinet. In this embodiment, the failure type may be sent to a specified alarm server through a wired network, or may be sent in other manners, which is not limited herein.
According to an embodiment of the present disclosure, the fault warning sound generating unit 304 generates the fault warning sound according to the fault type of the current noise reduction equipment in the cabinet, which is obtained by the fault type determining unit 303, where loudness of the fault warning sounds of different fault types is different, so that an operation and maintenance person may preliminarily determine a fault cause of the equipment in the noise reduction cabinet through the loudness of the fault warning sound. If a plurality of different faults occur in the noise reduction cabinet, the fault type determining unit 303 determines a plurality of fault types, and the fault warning sound generating unit 304 generates a plurality of fault warning sounds, wherein the loudness of each fault warning sound is different.
In the present embodiment, the failure warning sound may be a sound wave of different amplitude, and the failure warning sound wave is transmitted to the failure warning sound output unit 305 to be output. The electric signal may be an electric signal of a different voltage or current, and may be transmitted to the malfunction warning sound output unit 305 to be output.
If a plurality of different types of failures occur in the noise reduction in-cabinet device, the malfunction warning sound generation unit 304 transmits the malfunction warning sounds for the different types of failures to the malfunction warning sound output unit 305 in an alternate cycle so that the malfunction warning sound output unit 305 alternately and cyclically outputs the malfunction warning sounds for the different types of failures.
According to an embodiment of the present disclosure, the malfunction warning sound output unit 305 receives the malfunction warning sound sent by the malfunction warning sound generation unit 304, and outputs the malfunction warning sound, so that an operation and maintenance person can find a malfunction of the equipment in the noise reduction cabinet in time through the malfunction warning sound, and preliminarily locate a malfunction type of the equipment in the noise reduction cabinet according to loudness of the malfunction warning sound, and if a plurality of different types of malfunctions occur in the equipment in the noise reduction cabinet, the malfunction warning sound output unit 305 alternately and cyclically outputs the malfunction warning sounds of the different types of malfunctions.
In the present embodiment, the malfunction warning sound output unit 305 may be a speaker or a buzzer, and when the malfunction warning sounds are sound waves of different amplitudes, the malfunction warning sound output unit 305 is a speaker, and when the malfunction warning sounds are electrical signals of different voltages or currents, the malfunction warning sound output unit 305 is a buzzer.
Fig. 4 is a flowchart illustrating a process of calculating a fault noise signal in a fault alarm device of a noise reduction cabinet according to an embodiment of the present disclosure, where the process includes:
step 401: and acquiring the lowest load and the highest load of the equipment in the noise reduction cabinet in normal work.
In this step, the device in the noise reduction cabinet may be a server, and the load may be a combination of cpu utilization and memory utilization of the server.
Step 402: a plurality of consecutive load sections are divided between the lowest load and the highest load.
In this step, the interval between the lowest load and the highest load is divided into a plurality of consecutive load intervals, and in this embodiment, 10% of the cpu usage rate may be used as the division length to obtain the plurality of consecutive load intervals.
Step 403: and adjusting the load of the equipment in the noise reduction cabinet, and acquiring working noise signals before amplification corresponding to the plurality of load intervals.
In this step, the noise reduction system of the noise reduction cabinet is first closed to temporarily retain the working noise, then 3 discontinuous working noise signal acquisition points are selected in each load interval, then the load of the equipment is adjusted to the 3 working noise signal acquisition points in each load interval according to the sequence of the load intervals, 3 working noise signals are obtained in each load interval, then the 3 working noise signals are added and averaged to serve as the working noise signals of the load interval, and since the obtained working noise signals do not need to be analyzed and processed at this time, in order to simplify the calculation process, the step of amplifying the working noise signals is omitted, and finally the working noise signals before amplification corresponding to each load interval are obtained.
Step 404: and establishing a working noise model by taking the load as an independent variable and the working noise signal before amplification as a dependent variable.
Step 405: and acquiring the current load of the equipment in the cabinet.
Step 406: and calculating the working noise signal before amplification according to the current load and the working noise model.
In this step, the obtained current load is used as an independent variable and is input into a pre-established working noise model, and a working noise signal before amplification corresponding to the current load is calculated.
Step 407: and amplifying the working noise signal obtained by calculation before amplification according to the amplification factor of the amplified original noise signal to obtain the working noise signal.
Before the step, the fault alarm device of the noise reduction cabinet acquires the current original noise signals of the equipment in the noise reduction cabinet, wherein the original noise signals include working noise signals and fault noise signals, and in order to improve the calculation precision, the original noise signals are amplified and then further processed. Therefore, in this step, the operating noise signal before amplification calculated in step 406 is amplified according to the same amplification factor to obtain the operating noise signal, and therefore, the operating noise signal obtained in this step is consistent with the characteristic parameters of the operating noise signal included in the amplified original noise signal, and therefore, the operating noise signal obtained in this step can be removed from the amplified original noise signal to obtain the fault noise signal.
Step 408: and filtering the working noise signal from the amplified original noise signal to obtain a fault noise signal.
In this step, the amplified original noise signal includes a working noise signal and a fault noise signal corresponding to the current device load condition, the working noise signal obtained in step 407 is filtered from the amplified original noise signal to obtain the fault noise signal, and the fault noise signal at this time is also amplified, so that the accuracy of subsequently calculating the fault type according to the fault noise signal is increased.
In this embodiment, a plurality of devices may be included in the same noise reduction cabinet, and only one device is described in fig. 4 as an example, and a process of calculating a fault noise signal in a deployment manner of a plurality of devices based on the process described in fig. 4 is not difficult to think by a person of ordinary skill in the art, and is not described herein again.
Fig. 5 is a flowchart for calculating a fault type, and in the embodiment shown in the present figure, a process for calculating a fault type in a fault alarm device of a noise reduction cabinet is described, where the process specifically includes:
step 501: and acquiring fault noise signals of multiple fault types of equipment in the noise reduction cabinet.
In this step, only one device is deployed in the noise reduction cabinet, multiple types of faults are artificially produced for the device, and then a fault noise signal of each fault type is obtained, wherein the fault noise signal at this time does not include a working noise signal.
Step 502: characteristic parameters of each fault noise signal are calculated.
In this step, characteristic parameters of each fault noise, including amplitude and/or frequency, are calculated by the rectifying-filtering circuit.
Step 503: and establishing an association relation between the characteristic parameters of the fault noise signals and the fault types.
In this step, the incidence relation between the characteristic parameter of the fault noise signal of each fault type calculated in step 502 and the fault type is established, and the characteristic parameter is used as the parameter of the incidence relation to obtain the fault type corresponding to the characteristic parameter. In addition, an amplification factor is added in the association relationship as a parameter, and the fault type is obtained by combining the parameter with the characteristic parameter, wherein the amplification factor is the amplification factor for amplifying the original noise signal before the step.
Step 504: and calculating the characteristic parameters of the fault noise signals obtained according to the original noise signals.
In this step, the characteristic parameters of the fault noise signal obtained from the amplified original noise signal are calculated in the same manner as in step 502.
Step 505: the type of the fault noise signal in the original noise signal is calculated through the characteristic parameters obtained in step 504 and the correlation relationship established in step 503 in advance.
In this embodiment, multiple devices may be included in the same noise reduction cabinet, so that multiple types of faults may occur at the same time, only one type of fault is described as an example in fig. 5, and a process of calculating multiple fault types in a fault noise signal based on the process described in fig. 5 will be understood by those skilled in the art, and will not be described herein again.
Fig. 6 is a circuit diagram of a rectifying-filtering circuit according to an embodiment of the present invention, in which the principle of calculating the amplitude of the fault noise signal by the rectifying-filtering circuit is described as follows:
the rectification part of the rectification-filtering circuit uses a bridge full-wave rectification circuit, the filtering part uses an LC filtering circuit, and according to the structures of the bridge full-wave rectification circuit and the LC filtering circuit, the formula for calculating the amplitude is as follows:
wherein, U0For incoming fault noise signals, a is the amplification of the original noise signal, UaIs the amplitude of the fault noise signal. Will be the original AC signal U0Converted into a direct current signal UaTherefore, stable signal voltage and current and the like are obtained, and the amplitude of the fault noise signal is indirectly obtained. In particular, an alternating current signal detection device can be introduced to replace the rectification-filtering circuit, and parameters such as the amplitude of the fault noise signal can be directly obtained.
In the embodiment herein, the frequency of the fault noise signal may be calculated by a method of acoustic waveform processing and the like in the prior art, which is not limited herein.
Fig. 7 is a schematic structural diagram of a computer device according to an embodiment of the present disclosure, where the fault alarm apparatus of the noise reduction cabinet according to the present disclosure may be a computer device according to the present embodiment, and the method described above is performed. Computer device 702 may include one or more processing devices 704, such as one or more Central Processing Units (CPUs), each of which may implement one or more hardware threads. The computer device 702 may also include any storage resources 706 for storing any kind of information, such as code, settings, data, etc. For example, and without limitation, the storage resources 706 may include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any storage resource may use any technology to store information. Further, any storage resource may provide volatile or non-volatile reservation of information. Further, any storage resources may represent fixed or removable components of computer device 702. In one case, when the processing device 704 executes associated instructions that are stored in any storage resource or combination of storage resources, the computer device 702 can perform any of the operations of the associated instructions. The computer device 702 also includes one or more drive mechanisms 708, such as a hard disk drive mechanism, an optical disk drive mechanism, or the like, for interacting with any storage resource.
Embodiments herein also provide a computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring original noise in a noise reduction cabinet to obtain an original noise signal, wherein the original noise comprises working noise generated when equipment in the noise reduction cabinet normally operates and fault noise generated when the equipment in the noise reduction cabinet fails, and the original noise is eliminated by a noise reduction system of the noise reduction cabinet after the original noise signal is acquired;
processing the original noise signal to obtain a fault noise signal;
obtaining the fault type of the equipment in the noise reduction cabinet according to the fault noise signal;
generating a fault alarm sound according to the fault type;
and outputting the fault alarm sound, and alarming the fault of the equipment in the noise reduction cabinet.
The computer device provided by the embodiment can also implement the methods as in fig. 2, 4-5.
Corresponding to the methods in fig. 2, 4-5, the embodiments herein also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the steps of the above-described method.
Embodiments herein also provide computer readable instructions, wherein when executed by a processor, a program thereof causes the processor to perform the methods as shown in fig. 2, 4-5.
It should be understood that, in various embodiments herein, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments herein.
It should also be understood that, in the embodiments herein, the term "and/or" is only one kind of association relation describing an associated object, meaning that three kinds of relations may exist. For example, a and/or B, may represent: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided herein, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
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 network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments herein.
In addition, functional units in the embodiments herein may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present invention may be implemented in a form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The principles and embodiments of this document are explained herein using specific examples, which are presented only to aid in understanding the methods and their core concepts; meanwhile, for the general technical personnel in the field, according to the idea of this document, there may be changes in the concrete implementation and the application scope, in summary, this description should not be understood as the limitation of this document.
Claims (11)
1. A fault alarm method of a noise reduction cabinet, characterized in that the method comprises,
acquiring original noise in a noise reduction cabinet to obtain an original noise signal, wherein the original noise comprises working noise generated when equipment in the noise reduction cabinet normally operates and fault noise generated when the equipment in the noise reduction cabinet fails, and the original noise is eliminated by a noise reduction system of the noise reduction cabinet after the original noise signal is acquired;
processing the original noise signal to obtain a fault noise signal;
obtaining the fault type of the equipment in the noise reduction cabinet according to the fault noise signal;
generating a fault alarm sound according to the fault type;
and outputting the fault alarm sound, and alarming the fault of the equipment in the noise reduction cabinet.
2. The method of claim 1, wherein processing the raw noise signal to obtain a fault noise signal further comprises,
amplifying the original noise signal, and improving the identification precision of the original noise signal so as to filter the original noise signal conveniently;
and filtering the amplified working noise signal in the original noise signal to obtain the fault noise signal.
3. The method for alarming a fault in a noise reduction cabinet according to claim 2, wherein before filtering the amplified working noise signal in the original noise signal to obtain the fault noise signal, further comprising,
and obtaining the working noise signal according to the current operating condition of the equipment in the noise reduction cabinet and the amplification factor of the amplified original noise signal.
4. The method for alarming a fault in a noise reduction cabinet according to claim 3, wherein obtaining the working noise signal according to the current operating condition of the equipment in the noise reduction cabinet and the amplification factor of the amplified original noise signal further comprises,
establishing a working noise model according to a plurality of operating conditions of equipment in the noise reduction cabinet and the working noise signals before amplification corresponding to each operating condition;
acquiring the current running condition of equipment in the noise reduction cabinet;
and obtaining the working noise signal according to the working noise model, the current running condition of the equipment and the amplification factor of the amplified original noise signal.
5. The method of claim 1, wherein obtaining the fault type of the equipment in the noise reduction cabinet from the fault noise signal further comprises,
calculating characteristic parameters of the fault noise signals;
and obtaining the fault type of the equipment in the noise reduction cabinet according to the characteristic parameters of the fault noise signals and the incidence relation between the characteristic parameters of the fault noise signals and the fault type.
6. The malfunction alerting method of a noise reduction cabinet according to claim 5, further comprising, before generating a malfunction alerting tone according to the type of the malfunction,
obtaining fault noise under the condition of a plurality of faults of equipment in the noise reduction cabinet to obtain a plurality of fault noise signals;
respectively calculating characteristic parameters of each fault noise signal;
and dividing a plurality of fault conditions of the equipment in the noise reduction cabinet into a plurality of fault types according to the characteristic parameters of the fault noise signals, and establishing the incidence relation between the characteristic parameters of the fault noise signals and the fault types.
7. The method of malfunction alerting of a noise reducing cabinet according to claim 1, wherein generating a malfunction alerting tone according to the type of malfunction further comprises,
and generating fault alarm sounds with different loudness according to different fault types, so that operation and maintenance personnel can judge the fault reason of the equipment in the noise reduction cabinet according to the loudness of the alarm sounds.
8. The method for alarming a fault of a noise reduction cabinet according to claim 1, wherein after the fault type of the equipment in the noise reduction cabinet is obtained through the fault noise signal, the method further comprises,
and sending the fault type to a designated alarm server so that operation and maintenance personnel can timely handle the fault of the equipment in the noise reduction cabinet.
9. A failure alarm device of a noise reduction cabinet is characterized by comprising,
the noise signal acquisition unit is used for acquiring original noise in the noise reduction cabinet to obtain an original noise signal, wherein the original noise comprises working noise generated when equipment in the noise reduction cabinet normally operates and fault noise generated when the equipment in the noise reduction cabinet breaks down, and after the original noise signal is acquired, the original noise is eliminated by a noise reduction system of the noise reduction cabinet;
the noise signal processing unit is used for processing the original noise signal to obtain a fault noise signal;
the fault type determining unit is used for obtaining the fault type of the equipment in the noise reduction cabinet through the fault noise signal;
a fault alarm sound generating unit which generates a fault alarm sound according to the fault type;
and the fault alarm sound output unit outputs the fault alarm sound and alarms the fault of the equipment in the noise reduction cabinet.
10. A computer device comprising a memory, a processor, and a computer program stored on the memory, wherein the computer program, when executed by the processor, performs the instructions of the method of any one of claims 1-8.
11. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor of a computer device, executes instructions of a method according to any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110913131.9A CN113641562A (en) | 2021-08-10 | 2021-08-10 | Fault alarm method and device for noise reduction cabinet, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110913131.9A CN113641562A (en) | 2021-08-10 | 2021-08-10 | Fault alarm method and device for noise reduction cabinet, computer equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113641562A true CN113641562A (en) | 2021-11-12 |
Family
ID=78420443
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110913131.9A Pending CN113641562A (en) | 2021-08-10 | 2021-08-10 | Fault alarm method and device for noise reduction cabinet, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113641562A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110031088A (en) * | 2019-04-17 | 2019-07-19 | 珠海格力电器股份有限公司 | Electronic equipment fault detection method, device, equipment and range hood |
| CN111677674A (en) * | 2020-06-17 | 2020-09-18 | 武汉工程大学 | Fault detection method and device |
| CN112943595A (en) * | 2021-02-07 | 2021-06-11 | 三一重工股份有限公司 | Hydraulic pump fault prediction method, hydraulic pump fault prediction device, electronic equipment and storage medium |
-
2021
- 2021-08-10 CN CN202110913131.9A patent/CN113641562A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110031088A (en) * | 2019-04-17 | 2019-07-19 | 珠海格力电器股份有限公司 | Electronic equipment fault detection method, device, equipment and range hood |
| CN111677674A (en) * | 2020-06-17 | 2020-09-18 | 武汉工程大学 | Fault detection method and device |
| CN112943595A (en) * | 2021-02-07 | 2021-06-11 | 三一重工股份有限公司 | Hydraulic pump fault prediction method, hydraulic pump fault prediction device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7557728B1 (en) | Using audio to detect changes to the performance of an application | |
| US20080130645A1 (en) | Methods and Apparatus for Instability Detection in Inter-Domain Routing | |
| CN107086039B (en) | Audio signal processing method and device | |
| CN109684280A (en) | Journal file processing method, apparatus and system | |
| US7711518B2 (en) | Methods, systems and computer program products for providing system operational status information | |
| CN102547526A (en) | Real-time monitoring method and system of microphone working state | |
| CN112437037B (en) | Sketch-based DDoS flooding attack detection method and device | |
| CN115687969A (en) | Low-voltage transformer fault diagnosis method based on sound characteristic analysis | |
| CN113641562A (en) | Fault alarm method and device for noise reduction cabinet, computer equipment and storage medium | |
| CN107862811A (en) | Self-help terminal equipment and its monitoring method of health state and device, storage medium | |
| CN107277669A (en) | The digital noise reduction wave filter generation method and device of earphone | |
| JP2018093432A (en) | Determination system, determination method, and program | |
| WO2016197819A1 (en) | Reverse power supply line detection processing method and apparatus | |
| JP2019204407A (en) | Abnormal operation detection device, abnormal operation detection method, and program | |
| CN111639225B (en) | Audio information detection method, device and storage medium | |
| CN106028248B (en) | Loudspeaker polarity detection method and device | |
| CN106713604A (en) | Information safety prompting method and system | |
| WO2017169949A1 (en) | Log analysis device, log analysis method, and recording medium for storing program | |
| CN116448234A (en) | Power transformer running state voiceprint monitoring method and system | |
| WO2023181241A1 (en) | Monitoring server device, system, method, and program | |
| WO2022067557A1 (en) | Method and apparatus for designing edge computing solution, and computer-readable medium | |
| CN110401582B (en) | Detection method and device for storage health distress of cloud computing system and storage medium | |
| JP5185167B2 (en) | Jitter detection circuit and jitter detection method | |
| Moore et al. | Effects of relative phase and frequency spacing on the detection of three-component amplitude modulation | |
| CN111090045A (en) | Method and device for diagnosing loss of field of permanent magnet synchronous motor |
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 |