CN114295197A - Noise monitoring method, device, equipment and storage medium - Google Patents
Noise monitoring method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN114295197A CN114295197A CN202210036618.8A CN202210036618A CN114295197A CN 114295197 A CN114295197 A CN 114295197A CN 202210036618 A CN202210036618 A CN 202210036618A CN 114295197 A CN114295197 A CN 114295197A
- Authority
- CN
- China
- Prior art keywords
- noise
- edge server
- target
- value
- data
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000012544 monitoring process Methods 0.000 title claims abstract description 46
- 239000002131 composite material Substances 0.000 claims abstract description 108
- 238000009434 installation Methods 0.000 claims description 21
- 238000004590 computer program Methods 0.000 claims description 14
- 230000007274 generation of a signal involved in cell-cell signaling Effects 0.000 claims description 2
- 238000012806 monitoring device Methods 0.000 claims 1
- 239000000758 substrate Substances 0.000 abstract description 4
- 238000004891 communication Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 230000001681 protective effect Effects 0.000 description 5
- 238000012423 maintenance Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The application discloses a noise monitoring method, a device, equipment and a storage medium, comprising the following steps: acquiring internal and external noises of an edge server through a noise sensor pre-installed on the edge server to obtain target noise data; sending the target noise data to a substrate management controller of an edge server to obtain a target noise value; and judging whether the target noise value meets a preset noise threshold condition, if so, generating a corresponding noise alarm signal, and transmitting the noise alarm signal to a user, so that the user can take corresponding measures to reduce noise after receiving the noise alarm signal. This application can know the noise stress level in edge server place in real time through installing the noise sensor on edge server, and then takes corresponding safeguard measure to reduce the noise, can effectively reduce long-time, the influence of high frequency composite noise to edge server reliability, improves edge server and uses the reliability.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a noise monitoring method, apparatus, device, and storage medium.
Background
Currently, with the coming of the 5G era, the demands of application scenarios such as internet of things, smart cities, unmanned driving and the like on fast computing, high performance and low delay of network systems are more and more severe, cloud computing is difficult to meet the current application demands, and edge computing is in place. The edge server is used as an important node for edge calculation, and the working environment of the edge server is much more severe than that of a common server because the edge server is close to one side of a data source, for example, the limit working temperature of the common server is 5-35 ℃, and the edge server is-5-50 ℃.
Because the machine room environment of the edge server is usually crude, even no special machine room is provided, the external noise stress is large and uncontrollable, and the working temperature needs to reach 50 ℃, the noise generated by the internal fan is greatly improved. Under the combined stress action of external noise and internal noise, fatigue damage can be caused to parts which are sensitive to noise interference of the edge server and weak in structural strength, and even the situation of functional failure can be caused after long-time noise action, so that the reliability of the edge server product is influenced. Therefore, noise monitoring is necessary for the edge server.
At present, when the server is subjected to noise monitoring, noise is only generated for the server to influence the outside, and the influence of internal and external noise on the server is not considered. However, the conventional noise monitoring method usually only focuses on the influence of the vibration with the frequency below 2000Hz on the server due to the limitation of the equipment.
Therefore, how to effectively monitor the long-time and high-frequency composite noise of the edge server is a problem to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, an object of the present application is to provide a noise monitoring method, apparatus, device and storage medium, which can improve reliability of an edge server and reduce maintenance cost and replacement cost. The specific scheme is as follows:
in a first aspect, the present application discloses a noise monitoring method applied to an edge server, including:
acquiring internal and external noises of the edge server through a noise sensor pre-installed on the edge server to obtain target noise data;
sending the target noise data to a baseboard management controller of the edge server so as to process the target noise data through the baseboard management controller to obtain a target noise value;
and judging whether the target noise value meets a preset noise threshold condition, if so, generating a corresponding noise alarm signal, and transmitting the noise alarm signal to a user, so that the user can adopt corresponding measures to reduce noise after receiving the noise alarm signal.
Optionally, the acquiring, by a noise sensor pre-installed on the edge server, internal and external noises of the edge server to obtain target noise data includes:
respectively installing a plurality of capacitive noise sensors at different positions of the edge server according to preset installation positions;
and respectively acquiring the internal noise, the external noise and the composite noise of the edge server through the plurality of capacitive noise sensors to obtain target noise data.
Optionally, the installing the plurality of capacitive noise sensors at different positions of the edge server according to a preset installation position includes:
installing a first capacitive noise sensor at a front panel and/or an ear wing of the edge server according to a preset first installation position, and monitoring external noise of the edge server;
respectively installing a plurality of second capacitive noise sensors at four corners of a mainboard of the edge server according to a preset second installation position, and enabling the second capacitive noise sensors to be spaced from the chassis by a preset distance for monitoring internal noise of the edge server;
and installing a third capacitive noise sensor at the center of the edge server mainboard according to a preset third installation position, and monitoring the composite noise of the edge server.
Optionally, the acquiring, by the plurality of capacitive noise sensors, the internal noise, the external noise, and the composite noise of the edge server respectively to obtain target noise data includes:
respectively acquiring external noise, internal noise and composite noise of the edge server through the first capacitive noise sensor, the second capacitive noise sensor and the third capacitive noise sensor to respectively obtain external noise data, internal noise data and composite noise data;
correspondingly, the sending the target noise data to a baseboard management controller of the edge server so as to process the target noise data through the baseboard management controller to obtain a target noise value includes:
sending the internal noise data, the external noise data and the composite noise data to a baseboard management controller of the edge server so that the internal noise data, the external noise data and the composite noise data are processed by the baseboard management controller to obtain corresponding internal noise values, external noise values and composite noise values.
Optionally, the determining whether the target noise value meets a preset noise threshold condition, and if the target noise value meets the preset noise threshold condition, generating a corresponding noise alarm signal includes:
judging whether the external noise value exceeds a preset first noise threshold value or not;
if the external noise value exceeds the preset first noise threshold value, generating a corresponding noise alarm signal;
if the external noise value does not exceed the preset first noise threshold value, obtaining a target composite noise value through the internal noise value and the composite noise value, and judging whether the target composite noise value exceeds a preset second noise threshold value;
and if the target composite noise value exceeds the preset second noise threshold value, generating the noise alarm signal.
Optionally, the obtaining a target composite noise value through the internal noise value and the composite noise value includes:
calculating an average value of the plurality of internal noise values to obtain an average internal noise value, and weighting the average internal noise value according to a preset first weight to obtain a weighted internal noise value;
weighting the composite noise value according to a preset second weight to obtain a weighted composite noise value;
and calculating the sum of the weighted internal noise value and the weighted composite noise value to obtain a target composite noise value.
Optionally, after the sending the target noise data to the baseboard management controller of the edge server, the method further includes:
and sending the target noise data to a user management terminal through the baseboard management controller according to a preset time period, so that the user can acquire the target noise data through the user management terminal, and the target noise data is used for carrying out type selection on the edge server and arrangement on a machine room where the edge server is located.
In a second aspect, the present application discloses a noise monitoring apparatus applied to an edge server, including:
the noise acquisition module is used for acquiring internal and external noises of the edge server through a noise sensor which is pre-installed on the edge server so as to obtain target noise data;
the data sending module is used for sending the target noise data to a baseboard management controller of the edge server so as to process the target noise data through the baseboard management controller to obtain a target noise value;
and the alarm signal generation module is used for judging whether the target noise value meets a preset noise threshold condition, if so, generating a corresponding noise alarm signal and transmitting the noise alarm signal to a user so that the user can take corresponding measures to reduce noise after receiving the noise alarm signal.
In a third aspect, the present application discloses an electronic device comprising a processor and a memory; wherein the processor implements the aforementioned noise monitoring method when executing the computer program stored in the memory.
In a fourth aspect, the present application discloses a computer readable storage medium for storing a computer program; wherein the computer program realizes the aforementioned noise monitoring method when executed by a processor.
It can be seen that, this application is earlier right through installing in advance noise sensor on the edge server the inside and the external noise of edge server gather, obtain the target noise data, then will the target noise data send to the base plate management controller of edge server, so that pass through the base plate management controller is right the target noise data is handled, obtains the target noise value, judges again whether the target noise value satisfies and predetermines noise threshold value condition, if the target noise value satisfies predetermine noise threshold value condition, then generate corresponding noise alarm signal, and will noise alarm signal transmits for the user, so that the user takes corresponding measure to reduce the noise after receiving the noise alarm signal. Therefore, the noise stress level of the edge server place can be known in real time through the noise sensor installed on the edge server, and then corresponding protective measures are taken to reduce noise, so that the influence of long-time and high-frequency composite noise on the reliability of the edge server can be effectively reduced, the use reliability of the edge server is improved, and the maintenance cost and the replacement cost are reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a noise monitoring method disclosed herein;
FIG. 2 is a flow chart of a particular noise monitoring method disclosed herein;
FIG. 3 is a process flow diagram of a particular noise monitoring method disclosed herein;
FIG. 4 is a schematic structural diagram of a noise monitoring apparatus disclosed herein;
fig. 5 is a block diagram of an electronic device disclosed in the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application discloses a noise monitoring method, which is applied to an edge server and is shown in figure 1, and the method comprises the following steps:
step S11: the noise sensor pre-installed on the edge server is used for collecting internal and external noises of the edge server so as to obtain target noise data.
In this embodiment, first, a noise stress environment where the edge server is located needs to be analyzed, that is, a main influence of noise on the edge server is analyzed to determine a noise source and a distribution condition, then, an installation position of a noise sensor may be determined according to the determined noise source and the determined distribution condition, that is, a layout of the noise sensor is determined, then, a preset noise sensor is installed on the edge server according to the installation position, and then, noise signals inside and outside the edge server are collected by the noise sensor, so as to obtain target noise data. Wherein the main effects of the noise on the edge server include, but are not limited to, edge server wire wear due to internal and external noise, component acoustic and vibration fatigue, component connection wire breakage, printed circuit board cracking, electrical contact intermittent operation, excessive electrical noise, and other failure effects.
In a specific embodiment, the acquiring internal and external noise of the edge server by a noise sensor pre-installed on the edge server to obtain target noise data may specifically include: respectively installing a plurality of capacitive noise sensors at different positions of the edge server according to preset installation positions; and respectively acquiring the internal noise, the external noise and the composite noise of the edge server through the plurality of capacitive noise sensors to obtain target noise data. In this embodiment, a plurality of pieces of installation position information may be obtained by analyzing a noise stress environment in which the edge server is located, then a plurality of capacitive noise sensors are installed at different positions of the edge server according to the installation position information, and then internal noise, external noise, and composite noise of the edge server are collected by the plurality of capacitive noise sensors, so as to obtain corresponding internal noise data, external noise data, and composite noise data, and the internal noise data, the external noise data, and the composite noise data are used as target noise data. Wherein the composite noise can be understood as a linear superposition of the energy of the internal noise and the external noise at the same frequency point.
Step S12: and sending the target noise data to a baseboard management controller of the edge server so as to process the target noise data through the baseboard management controller to obtain a target noise value.
In this embodiment, after acquiring target noise data by acquiring internal and external noises of an edge server through a noise sensor pre-installed on the edge server, the acquired target noise data is sent to a substrate management Controller (Baseboard Manager Controller) of the edge server, that is, spectral data of a noise signal monitored by the noise sensor is transmitted to the substrate management Controller, and then the spectral data is processed by the substrate management Controller, so as to obtain a target noise value.
Step S13: and judging whether the target noise value meets a preset noise threshold condition, if so, generating a corresponding noise alarm signal, and transmitting the noise alarm signal to a user, so that the user can adopt corresponding measures to reduce noise after receiving the noise alarm signal.
In this embodiment, the target noise data is sent to the baseboard management controller of the edge server, after a target noise value is obtained, whether the target noise value meets a preset noise threshold condition is determined, and if the target noise value meets the preset noise threshold condition, it indicates that the noise received by the edge server may affect itself, and corresponding measures are required to be taken to reduce the effect. The preset transmission form includes but is not limited to the forms of indicator light flashing, baseboard management controller web interface prompt, short message, voice and the like. After the user receives the noise alarm signal, the noise influence can be reduced by increasing the room protection, reducing the room ambient temperature, redistributing the workload and other wordings. It should be noted that, in general, since noise does not affect the performance of the edge server in a short period of time, and only the long-term reliability of the edge server is reduced, only the alarm processing is performed, and the operation of reducing the frequency or restarting the edge server is not performed.
In this embodiment, after the sending the target noise data to the baseboard management controller of the edge server, the method specifically further includes: and sending the target noise data to a user management terminal through the baseboard management controller according to a preset time period, so that the user can acquire the target noise data through the user management terminal, and the target noise data is used for carrying out type selection on the edge server and arrangement on a machine room where the edge server is located. It can be understood that after the target noise data is sent to the baseboard management controller of the edge server, the target noise data may be sent to a user management terminal through the baseboard management controller according to a preset time period, so that the user may obtain the target noise data through the user management terminal, and layout and type-select a place where the edge server is located using the obtained target noise data as reference data.
It can be seen that, in the embodiment of the present application, the noise sensor pre-installed on the edge server is used to collect the internal and external noise of the edge server to obtain the target noise data, and then the target noise data is sent to the baseboard management controller of the edge server, so that the target noise data is processed by the baseboard management controller to obtain the target noise value, and then whether the target noise value meets the preset noise threshold condition is judged, if the target noise value meets the preset noise threshold condition, a corresponding noise alarm signal is generated, and the noise alarm signal is transmitted to the user, so that the user takes corresponding measures to reduce the noise after receiving the noise alarm signal. Therefore, the noise stress level of the edge server place can be known in real time through the noise sensor installed on the edge server, and then corresponding protective measures are taken to reduce noise, so that the influence of long-time and high-frequency composite noise on the reliability of the edge server can be effectively reduced, the use reliability of the edge server is improved, and the maintenance cost and the replacement cost are reduced.
The embodiment of the application discloses a specific noise monitoring method, which is applied to an edge server, and is shown in fig. 2, and the method comprises the following steps:
step S21: a first capacitive noise sensor is mounted at a front panel and/or an ear wing of an edge server at a preset first mounting location for monitoring external noise of the edge server.
In this embodiment, first, an external noise source of the edge server needs to be determined, considering that a noise environment may generate a large amplitude air pressure fluctuation and a fluctuating sound field, generally, the pressure fluctuation and the fluctuating sound field are random within an amplitude range of 5 to 87kPa and a wide frequency band of 10Hz to 10kHz, and sometimes there may be a discrete frequency pressure fluctuation with a very high amplitude, when the pressure fluctuation and the fluctuating sound field act on the edge server, a vibration of the edge server may be caused (mainly concentrated on a side surface and an upper cover of a chassis of the edge server), the vibrating edge server may re-radiate an acoustic energy (i.e., a pressure fluctuation), and may also cause a vibration of internal components of the edge server or generate cavity noise. Therefore, in the present embodiment, a preset first capacitive noise sensor may be installed at a position greatly affected by external noise, i.e., at the front panel and/or the ear wing of the edge server, for monitoring the external noise of the edge server. It should be noted that there may be one or more first capacitive noise sensors, and when there are more than one first capacitive noise sensors, the calculation may be performed in a preset manner, such as directly averaging the plurality of first capacitive noise sensors.
Step S22: and respectively installing a plurality of second capacitive noise sensors at four corners of a mainboard of the edge server according to a preset second installation position, and keeping a preset distance from the mainboard to the case, so as to monitor the internal noise of the edge server.
In this embodiment, after the first capacitive noise sensor is installed at the front panel and/or the ear wing of the edge server according to the preset first installation position, the source of the internal noise of the edge server needs to be determined, and considering that the internal noise is mainly generated by high-speed rotation of the fan and turbulent air flow, the preset second capacitive noise sensor may be installed at a position greatly affected by the internal noise, such as four corners of a main board of the edge server and a preset distance from a chassis, so as to monitor the internal noise of the edge server, and when the edge server is installed, the influence of the external noise, such as the influence of radiation noise of the chassis, should be avoided. Wherein, the distance between the chassis and the chassis is at least kept above 2 cm.
Step S23: and installing a third capacitive noise sensor at the center of the edge server mainboard according to a preset third installation position, and monitoring the composite noise of the edge server.
In this embodiment, after the plurality of second capacitive noise sensors are respectively installed at four corners of the motherboard of the edge server according to a preset second installation position and spaced from the chassis by a preset distance, a preset third capacitive noise sensor may be installed at a position where composite noise of the edge server is more obvious, such as a central position of the motherboard of the edge server, for monitoring the composite noise of the edge server.
Step S24: and respectively acquiring external noise, internal noise and composite noise of the edge server through the first capacitive noise sensor, the second capacitive noise sensor and the third capacitive noise sensor to respectively obtain external noise data, internal noise data and composite noise data.
In this embodiment, after the third capacitive noise sensor is installed at the center of the edge server motherboard according to the preset third installation location, the external noise, the internal noise, and the composite noise of the edge server may be respectively collected by the first capacitive noise sensor, the second capacitive noise sensor, and the third capacitive noise sensor installed on the edge server, so as to obtain corresponding external noise data, internal noise data, and composite noise data.
Step S25: sending the internal noise data, the external noise data and the composite noise data to a baseboard management controller of the edge server so that the internal noise data, the external noise data and the composite noise data are processed by the baseboard management controller to obtain corresponding internal noise values, external noise values and composite noise values.
In this embodiment, after acquiring the external noise, the internal noise, and the composite noise of the edge server by the first capacitive noise sensor, the second capacitive noise sensor, and the third capacitive noise sensor, respectively, to obtain external noise data, internal noise data, and composite noise data, the internal noise data, the external noise data, and the composite noise data are transmitted to a board management controller of the edge server, and after acquiring the internal noise data, the external noise data, and the composite noise data, the board management controller performs corresponding processing on the internal noise data, the external noise data, and the composite noise data to obtain corresponding internal noise values, external noise values, and composite noise values.
Step S26: and judging whether the external noise value exceeds a preset first noise threshold value.
In this embodiment, after sending the internal noise data, the external noise data, and the composite noise data to the baseboard management controller of the edge server to obtain corresponding internal noise values, external noise values, and composite noise values, the baseboard management controller first compares the external noise values with a preset external noise threshold, that is, with the first noise threshold, and determines whether the external noise values exceed the first noise threshold.
Step S27: and if the external noise value exceeds the preset first noise threshold value, generating a corresponding noise alarm signal, and transmitting the noise alarm signal to a user, so that the user can take corresponding measures to reduce noise after receiving the noise alarm signal.
In this embodiment, if the external noise value exceeds the preset first noise threshold, a corresponding noise alarm signal may be generated to remind the user that the external noise currently received may affect the edge server, and the user needs to take corresponding measures to reduce the noise.
Step S28: and if the external noise value does not exceed the preset first noise threshold value, obtaining a target composite noise value through the internal noise value and the composite noise value, and judging whether the target composite noise value exceeds a preset second noise threshold value.
In this embodiment, if the external noise value does not exceed the preset first noise threshold, the internal noise value and the composite noise value may be further processed to obtain the target composite noise value, which is the influence of other noise except the external noise on the edge server, and then the target composite noise value is compared with a preset second noise threshold, and it is determined whether the target composite noise value exceeds the second noise threshold.
In this embodiment, the obtaining a target composite noise value through the internal noise value and the composite noise value may specifically include: calculating an average value of the plurality of internal noise values to obtain an average internal noise value, and weighting the average internal noise value according to a preset first weight to obtain a weighted internal noise value; weighting the composite noise value according to a preset second weight to obtain a weighted composite noise value; and calculating the sum of the weighted internal noise value and the weighted composite noise value to obtain a target composite noise value. It can be understood that, since there are a plurality of internal noise values and the installation positions are at four corners of the motherboard of the edge server, that is, each internal noise value may be considered to have the same influence on the edge server, the internal noise values may be directly averaged to obtain an average internal noise value, then the average internal noise value may be weighted according to a preset first weight to obtain a weighted internal noise value, the composite noise value may be weighted according to a preset second weight to obtain a weighted composite noise value, and then the weighted internal noise value and the weighted composite noise value are summed to obtain a target composite noise value.
Step S29: and if the target composite noise value exceeds the preset second noise threshold value, generating the noise alarm signal, and transmitting the noise alarm signal to a user, so that the user can take corresponding measures to reduce noise after receiving the noise alarm signal.
In this embodiment, if the target composite noise value exceeds the preset second noise threshold, a corresponding noise alarm signal is generated and notified to a user, and the user may take corresponding measures to reduce noise after receiving the noise alarm signal. For example, the user may be alerted by flashing an indicator light.
In this embodiment, referring to fig. 3, fig. 3 shows a specific noise monitoring processing flow of the edge server, first collecting external noise of the edge server by a noise sensor, collecting the internal noise of the edge server by a noise sensor II, a noise sensor III, a noise sensor IV and a noise sensor V, collecting the composite noise of the edge server by a noise sensor IV, then transmitting the collected external noise data to a baseboard management controller, judging whether the external noise data exceeds a preset first noise threshold value through the baseboard management controller, if the current external noise is beyond the threshold value, generating a corresponding noise alarm signal to remind a user that the current external noise can affect the edge server, and further adopting a corresponding protective measure to reduce the noise; if not, calculating the average value of the internal noise data collected by the noise sensor, the noise sensor and the noise sensor, weighting the average value by 50 percent of weight, weighting the composite noise collected by the noise sensor by 50 percent of weight, summing the weighted values to obtain a target composite noise value, judging whether the target composite noise value exceeds a preset second noise threshold value, namely the threshold value, if so, generating a corresponding noise alarm signal to remind a user that the current composite noise can influence the edge server, and needing to adopt corresponding protective measures to reduce the noise.
For more specific processing procedures of the above steps, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Therefore, the embodiment of the application can collect the internal noise, the external noise and the composite noise of the edge server through the plurality of capacitive noise sensors which are pre-installed on the edge server, external noise can be judged through a preset first noise threshold, the influence of other noises except the external noise on the edge server can be more accurately acquired through weighting processing of internal noise and composite noise, the internal noise value and the composite noise can be judged through a preset second noise threshold, and a corresponding noise alarm signal can be generated when the internal noise value and the composite noise exceed the first noise threshold and the second noise threshold, so as to remind a user of needing to take corresponding measures to reduce the noise, therefore, the influence of long-time and high-frequency composite noise on the reliability of the edge server is effectively reduced, and the use reliability of the edge server is improved.
Correspondingly, the embodiment of the present application further discloses a noise monitoring apparatus, applied to an edge server, and as shown in fig. 4, the apparatus includes:
the noise acquisition module 11 is configured to acquire internal and external noises of the edge server through a noise sensor pre-installed on the edge server to obtain target noise data;
a data sending module 12, configured to send the target noise data to a baseboard management controller of the edge server, so that the target noise data is processed by the baseboard management controller to obtain a target noise value;
and an alarm signal generating module 13, configured to determine whether the target noise value meets a preset noise threshold condition, and if the target noise value meets the preset noise threshold condition, generate a corresponding noise alarm signal and transmit the noise alarm signal to a user, so that the user takes a corresponding measure to reduce noise after receiving the noise alarm signal.
For the specific work flow of each module, reference may be made to corresponding content disclosed in the foregoing embodiments, and details are not repeated here.
It can be seen that, in the embodiment of the present application, the noise sensor pre-installed on the edge server is used to collect the internal and external noise of the edge server to obtain the target noise data, and then the target noise data is sent to the baseboard management controller of the edge server, so that the target noise data is processed by the baseboard management controller to obtain the target noise value, and then it is determined whether the target noise value meets the preset noise threshold condition, if the target noise value meets the preset noise threshold condition, a corresponding noise alarm signal is generated, and the noise alarm signal is transmitted to the user, so that the user takes corresponding measures to reduce the noise after receiving the noise alarm signal. Therefore, the noise sensor arranged on the edge server can know the noise stress level of the edge server in real time, and then corresponding protective measures are taken to reduce noise, so that the influence of long-time and high-frequency composite noise on the reliability of the edge server can be effectively reduced, the use reliability of the edge server is improved, and the maintenance cost and the replacement cost are reduced.
In some specific embodiments, the noise collection module 11 may specifically include:
the first sensor mounting unit is used for respectively mounting a plurality of capacitive noise sensors on different positions of the edge server according to preset mounting positions;
and the first noise acquisition unit is used for acquiring the internal noise, the external noise and the composite noise of the edge server respectively through the plurality of capacitive noise sensors to obtain target noise data.
In some specific embodiments, the first sensor mounting unit may specifically include:
the second sensor mounting unit is used for mounting the first capacitive noise sensor at the front panel and/or the ear wing of the edge server according to a preset first mounting position and monitoring the external noise of the edge server;
the third sensor mounting unit is used for mounting a plurality of second capacitive noise sensors at four corners of a mainboard of the edge server according to a preset second mounting position, and is separated from the chassis by a preset distance for monitoring internal noise of the edge server;
and the fourth sensor mounting unit is used for mounting a third capacitive noise sensor at the central position of the edge server mainboard according to a preset third mounting position and monitoring the composite noise of the edge server.
In some specific embodiments, the first noise collecting unit may specifically include:
the second noise acquisition unit is used for respectively acquiring external noise, internal noise and composite noise of the edge server through the first capacitive noise sensor, the second capacitive noise sensor and the third capacitive noise sensor to respectively obtain external noise data, internal noise data and composite noise data;
correspondingly, the data sending module 12 may specifically include:
a noise data sending unit, configured to send the internal noise data, the external noise data, and the composite noise data to a baseboard management controller of the edge server, so that the internal noise data, the external noise data, and the composite noise data are processed by the baseboard management controller to obtain corresponding internal noise values, external noise values, and composite noise values.
In some specific embodiments, the alarm signal generating module 13 may specifically include:
the first judging unit is used for judging whether the external noise value exceeds a preset first noise threshold value or not;
the first alarm signal generating unit is used for generating a corresponding noise alarm signal when the external noise value exceeds a preset first noise threshold value;
a noise value obtaining unit, configured to obtain a target composite noise value according to the internal noise value and the composite noise value when the external noise value does not exceed the preset first noise threshold;
the second judging unit is used for judging whether the target composite noise value exceeds a preset second noise threshold value or not;
and the second alarm signal generating unit is used for generating the noise alarm signal when the target composite noise value exceeds the preset second noise threshold value.
In some specific embodiments, the noise value obtaining unit may specifically include:
the average value calculating unit is used for calculating the average value of the internal noise values to obtain an average internal noise value;
the first weighting unit is used for weighting the average internal noise value according to a preset first weight to obtain a weighted internal noise value;
the second weighting unit is used for weighting the composite noise value according to a preset second weight to obtain a weighted composite noise value;
and the summation unit is used for calculating the sum of the weighted internal noise value and the weighted composite noise value to obtain a target composite noise value.
In some specific embodiments, after the data sending module 12, the method may further include:
and the noise data sending unit is used for sending the target noise data to a user management terminal through the baseboard management controller according to a preset time period so that the user can obtain the target noise data through the user management terminal, and the target noise data is used for carrying out model selection on the edge server and arranging a machine room where the edge server is located.
Further, an electronic device is disclosed in the embodiments of the present application, and fig. 5 is a block diagram of the electronic device 20 according to an exemplary embodiment, which should not be construed as limiting the scope of the application.
Fig. 5 is a schematic structural diagram of an electronic device 20 according to an embodiment of the present disclosure. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. Wherein the memory 22 is used for storing a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the noise monitoring method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in the present embodiment may be specifically an electronic computer.
In this embodiment, the power supply 23 is configured to provide a working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and a communication protocol followed by the communication interface is any communication protocol applicable to the technical solution of the present application, and is not specifically limited herein; the input/output interface 25 is configured to obtain external input data or output data to the outside, and a specific interface type thereof may be selected according to specific application requirements, which is not specifically limited herein.
In addition, the storage 22 is used as a carrier for resource storage, and may be a read-only memory, a random access memory, a magnetic disk or an optical disk, etc., and the resources stored thereon may include an operating system 221, a computer program 222, etc., and the storage manner may be a transient storage or a permanent storage.
The operating system 221 is used for managing and controlling each hardware device on the electronic device 20 and the computer program 222, and may be Windows Server, Netware, Unix, Linux, or the like. The computer program 222 may further include a computer program that can be used to perform other specific tasks in addition to the computer program that can be used to perform the noise monitoring method performed by the electronic device 20 disclosed in any of the foregoing embodiments.
Further, the present application also discloses a computer-readable storage medium for storing a computer program; wherein the computer program realizes the noise monitoring method disclosed in the foregoing when executed by a processor. For the specific steps of the method, reference may be made to the corresponding contents disclosed in the foregoing embodiments, which are not described herein again.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this 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 application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The noise monitoring method, apparatus, device and storage medium provided by the present application are introduced in detail, and a specific example is applied in the description to explain the principle and the implementation of the present application, and the description of the above embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A noise monitoring method is applied to an edge server and comprises the following steps:
acquiring internal and external noises of the edge server through a noise sensor pre-installed on the edge server to obtain target noise data;
sending the target noise data to a baseboard management controller of the edge server so as to process the target noise data through the baseboard management controller to obtain a target noise value;
and judging whether the target noise value meets a preset noise threshold condition, if so, generating a corresponding noise alarm signal, and transmitting the noise alarm signal to a user, so that the user can adopt corresponding measures to reduce noise after receiving the noise alarm signal.
2. The noise monitoring method according to claim 1, wherein the acquiring internal and external noise of the edge server by a noise sensor pre-installed on the edge server to obtain target noise data comprises:
respectively installing a plurality of capacitive noise sensors at different positions of the edge server according to preset installation positions;
and respectively acquiring the internal noise, the external noise and the composite noise of the edge server through the plurality of capacitive noise sensors to obtain target noise data.
3. The noise monitoring method according to claim 2, wherein the installing the plurality of capacitive noise sensors at different positions of the edge server according to the preset installation positions comprises:
installing a first capacitive noise sensor at a front panel and/or an ear wing of the edge server according to a preset first installation position, and monitoring external noise of the edge server;
respectively installing a plurality of second capacitive noise sensors at four corners of a mainboard of the edge server according to a preset second installation position, and enabling the second capacitive noise sensors to be spaced from the chassis by a preset distance for monitoring internal noise of the edge server;
and installing a third capacitive noise sensor at the center of the edge server mainboard according to a preset third installation position, and monitoring the composite noise of the edge server.
4. The noise monitoring method according to claim 3, wherein the acquiring, by the plurality of capacitive noise sensors, internal noise, external noise, and composite noise of the edge server respectively to obtain target noise data comprises:
respectively acquiring external noise, internal noise and composite noise of the edge server through the first capacitive noise sensor, the second capacitive noise sensor and the third capacitive noise sensor to respectively obtain external noise data, internal noise data and composite noise data;
correspondingly, the sending the target noise data to a baseboard management controller of the edge server so as to process the target noise data through the baseboard management controller to obtain a target noise value includes:
sending the internal noise data, the external noise data and the composite noise data to a baseboard management controller of the edge server so that the internal noise data, the external noise data and the composite noise data are processed by the baseboard management controller to obtain corresponding internal noise values, external noise values and composite noise values.
5. The noise monitoring method according to claim 4, wherein the determining whether the target noise value satisfies a preset noise threshold condition, and if the target noise value satisfies the preset noise threshold condition, generating a corresponding noise alarm signal includes:
judging whether the external noise value exceeds a preset first noise threshold value or not;
if the external noise value exceeds the preset first noise threshold value, generating a corresponding noise alarm signal;
if the external noise value does not exceed the preset first noise threshold value, obtaining a target composite noise value through the internal noise value and the composite noise value, and judging whether the target composite noise value exceeds a preset second noise threshold value;
and if the target composite noise value exceeds the preset second noise threshold value, generating the noise alarm signal.
6. The noise monitoring method of claim 5, wherein the obtaining a target composite noise value from the internal noise value and the composite noise value comprises:
calculating an average value of the plurality of internal noise values to obtain an average internal noise value, and weighting the average internal noise value according to a preset first weight to obtain a weighted internal noise value;
weighting the composite noise value according to a preset second weight to obtain a weighted composite noise value;
and calculating the sum of the weighted internal noise value and the weighted composite noise value to obtain a target composite noise value.
7. The noise monitoring method according to any one of claims 1 to 6, wherein after the sending the target noise data to a baseboard management controller of the edge server, the method further comprises:
and sending the target noise data to a user management terminal through the baseboard management controller according to a preset time period, so that the user can acquire the target noise data through the user management terminal, and the target noise data is used for carrying out type selection on the edge server and arrangement on a machine room where the edge server is located.
8. A noise monitoring device applied to an edge server comprises:
the noise acquisition module is used for acquiring internal and external noises of the edge server through a noise sensor which is pre-installed on the edge server so as to obtain target noise data;
the data sending module is used for sending the target noise data to a baseboard management controller of the edge server so as to process the target noise data through the baseboard management controller to obtain a target noise value;
and the alarm signal generation module is used for judging whether the target noise value meets a preset noise threshold condition, if so, generating a corresponding noise alarm signal and transmitting the noise alarm signal to a user so that the user can take corresponding measures to reduce noise after receiving the noise alarm signal.
9. An electronic device comprising a processor and a memory; wherein the processor, when executing the computer program stored in the memory, implements the noise monitoring method of any of claims 1 to 7.
10. A computer-readable storage medium for storing a computer program; wherein the computer program, when executed by a processor, implements the noise monitoring method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210036618.8A CN114295197B (en) | 2022-01-13 | 2022-01-13 | Noise monitoring method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210036618.8A CN114295197B (en) | 2022-01-13 | 2022-01-13 | Noise monitoring method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114295197A true CN114295197A (en) | 2022-04-08 |
| CN114295197B CN114295197B (en) | 2024-01-26 |
Family
ID=80978409
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210036618.8A Active CN114295197B (en) | 2022-01-13 | 2022-01-13 | Noise monitoring method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114295197B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108647129A (en) * | 2018-05-22 | 2018-10-12 | 山东中创软件商用中间件股份有限公司 | A kind of monitoring method of server, device, equipment and medium |
| CN109489190A (en) * | 2018-09-18 | 2019-03-19 | 广东优世联合控股集团股份有限公司 | Method and system for regulating and controlling cold quantity of machine room |
| CN112179486A (en) * | 2020-11-10 | 2021-01-05 | 国网北京市电力公司 | Noise monitoring method, device and system, processor and electronic equipment |
| CN112542029A (en) * | 2020-12-07 | 2021-03-23 | 广州市耀安实业发展有限公司 | Fan noise detection monitoring method and system, computer equipment and storage medium |
-
2022
- 2022-01-13 CN CN202210036618.8A patent/CN114295197B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108647129A (en) * | 2018-05-22 | 2018-10-12 | 山东中创软件商用中间件股份有限公司 | A kind of monitoring method of server, device, equipment and medium |
| CN109489190A (en) * | 2018-09-18 | 2019-03-19 | 广东优世联合控股集团股份有限公司 | Method and system for regulating and controlling cold quantity of machine room |
| CN112179486A (en) * | 2020-11-10 | 2021-01-05 | 国网北京市电力公司 | Noise monitoring method, device and system, processor and electronic equipment |
| CN112542029A (en) * | 2020-12-07 | 2021-03-23 | 广州市耀安实业发展有限公司 | Fan noise detection monitoring method and system, computer equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114295197B (en) | 2024-01-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9170916B2 (en) | Power profiling and auditing consumption systems and methods | |
| US20200313971A1 (en) | Capacity management of computing resources based on time series analysis | |
| US7865614B2 (en) | Method and apparatus for load balancing with server state change awareness | |
| US20100094990A1 (en) | Platform-level Indicators of Application Performance | |
| CA2722946C (en) | Environmentally cognizant power management | |
| US20060167891A1 (en) | Method and apparatus for redirecting transactions based on transaction response time policy in a distributed environment | |
| CN109768899A (en) | Website Usability monitoring method, device, equipment and medium | |
| CN110659109A (en) | Openstack cluster virtual machine monitoring system and method | |
| KR101178669B1 (en) | APPARATUS AND METHOD FOR ASSET TRACKING BASED ON Ubiquitous Sensor Network USING MOTION SENSING | |
| CN101771565B (en) | Analogy method for realizing multitudinous or different baseboard management controllers by single server | |
| CN114034968B (en) | Cable data detection method and device based on distributed nodes | |
| CN110166271B (en) | Method and device for detecting network node abnormality | |
| CN113031453A (en) | Intelligent household appliance, cloud server and power consumption abnormity monitoring method for intelligent household appliance | |
| US11422527B2 (en) | Automatic inspection system | |
| US11429176B2 (en) | Intelligent and predictive optimization of power needs across virtualized environments | |
| US9235971B1 (en) | Service window optimized system alert engine | |
| US9686174B2 (en) | Scalable extendable probe for monitoring host devices | |
| CN115878418A (en) | Power consumption monitoring method, device, equipment and storage medium | |
| CN114238036A (en) | Method and device for monitoring abnormity of SAAS (software as a service) platform in real time | |
| CN113079033B (en) | Flow control method and device, electronic equipment and computer readable medium | |
| CN114295197B (en) | Noise monitoring method, device, equipment and storage medium | |
| US20080109390A1 (en) | Method for dynamically managing a performance model for a data center | |
| KR20220010279A (en) | System and method for indoor environment monitoring | |
| TW202045899A (en) | Analysis apparatus, analysis method, and non-transitory computer readable storage medium | |
| US20220221374A1 (en) | Hybrid vibration-sound acoustic profiling using a siamese network to detect loose parts |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |