CN116907632A - Method and device for monitoring abnormal operation sound of induced draft fan and electronic equipment - Google Patents
Method and device for monitoring abnormal operation sound of induced draft fan and electronic equipment Download PDFInfo
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- 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
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
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- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/27—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
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Abstract
The application provides a method and a device for monitoring abnormal sound of operation of an induced draft fan and electronic equipment, and sound emitted in the operation process of the induced draft fan is obtained, wherein the sound comprises the following components: each path of sound signals respectively collected by each path of sound collecting equipment in the multipath sound collecting equipment; carrying out non-average algorithm pretreatment on each path of sound signals, and synthesizing each path of sound signals into one path of monitoring signals of each path of sound signals; processing the monitoring signals to obtain a plurality of abnormal sound identification characteristics; and processing the abnormal sound identification features by using an abnormal sound monitoring model of the induced draft fan to obtain an abnormal sound identification result. The application can greatly prolong the monitoring time of the induced draft fan, realize uninterrupted monitoring in all time periods, continuously monitor the running states of various parts of the induced draft fan, and greatly reduce the use cost of a diagnosis system of the induced draft fan and the downtime of the induced draft fan caused by faults.
Description
Technical Field
The application relates to the technical field of draught fan monitoring, in particular to a method and a device for monitoring abnormal operation sound of a draught fan and electronic equipment.
Background
The induced draft fan is one of important auxiliary devices of a boiler of a thermal power plant, and the working principle of the induced draft fan is that hot air after combustion is sucked out of a combustion chamber of the boiler, negative pressure is formed in the boiler, and finally the hot air is discharged into the atmosphere after dust removal, desulfurization and denitration. Traditional draught fan monitoring is to periodically patrol and judge draught fan faults through experienced staff. However, the manual monitoring can only be performed regularly, long-term monitoring cannot be performed, and the manual monitoring accuracy is low.
Disclosure of Invention
In order to solve the existing technical problems, the embodiment of the application provides a method and a device for monitoring abnormal operation sound of a draught fan and electronic equipment.
In a first aspect, an embodiment of the present application provides a method for monitoring abnormal operation noise of an induced draft fan, including:
acquire the sound that the draught fan operation in-process sent, sound includes: each path of sound signals respectively collected by each path of sound collecting equipment in the multipath sound collecting equipment;
carrying out non-average algorithm pretreatment on each path of sound signals, and synthesizing each path of sound signals into one path of monitoring signals of each path of sound signals;
processing the monitoring signals to obtain a plurality of abnormal sound identification characteristics;
and processing the abnormal sound identification features by using an abnormal sound monitoring model of the induced draft fan to obtain an abnormal sound identification result.
In a second aspect, an embodiment of the present application further provides an apparatus for monitoring abnormal operation noise of an induced draft fan, including:
the collection module obtains the sound that the draught fan sent in the operation process, sound includes: each path of sound signals respectively collected by each path of sound collecting equipment in the multipath sound collecting equipment;
the algorithm module is used for carrying out non-average algorithm pretreatment on each path of sound signals and synthesizing each path of sound signals into one path of monitoring signals of each path of sound signals;
the processing module is used for processing the monitoring signals to obtain a plurality of abnormal sound identification characteristics;
and the result module is used for processing the abnormal sound identification characteristics by using the abnormal sound monitoring model of the induced draft fan to obtain an abnormal sound identification result.
In a third aspect, an embodiment of the present application provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the transceiver, the memory, and the processor are connected by the bus, and the computer program when executed by the processor implements the steps in the method for monitoring abnormal noise running by the induced draft fan according to any one of the first aspect.
In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, where a computer program is stored, where the computer program when executed by a processor implements the steps in the method for monitoring abnormal noise running by an induced draft fan according to any one of the first aspect.
In the solutions provided in the first to fourth aspects of the present application, a plurality of sound signals sent by an induced draft fan are obtained through a plurality of sound pickup devices, the plurality of sound signals are combined into one path of monitoring signal under the effect of preprocessing of an uneven algorithm, then the monitoring signal is processed and a plurality of abnormal sound recognition features are extracted, and the abnormal sound recognition features are input into an abnormal sound monitoring model of the induced draft fan to obtain an abnormal sound recognition result of whether the abnormal sound occurs in the induced draft fan; compared with the mode of manually and periodically monitoring the induced draft fan in the related art, the method greatly prolongs the monitoring time of the induced draft fan, realizes continuous monitoring of the induced draft fan in a full period, can continuously monitor the running states of various parts of the induced draft fan, can timely maintain and overhaul the induced draft fan when determining that the induced draft fan breaks down according to abnormal sound identification results, and reduces the use cost of an induced draft fan diagnosis system and the downtime of the induced draft fan due to faults.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly describe the embodiments of the present application or the technical solutions in the background art, the following description will describe the drawings that are required to be used in the embodiments of the present application or the background art.
Fig. 1 is a schematic flow chart of a method for monitoring abnormal noise of operation of an induced draft fan according to embodiment 1 of the present application;
fig. 2 is a schematic structural diagram of an abnormal noise monitoring device for operation of an induced draft fan according to embodiment 2 of the present application;
fig. 3 is a schematic structural diagram of an electronic device for executing the abnormal noise monitoring method for operation of the induced draft fan according to embodiment 3 of the present application.
Detailed Description
In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present application.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the present application, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
The induced draft fan is one of important auxiliary devices of a boiler of a thermal power plant, and the working principle of the induced draft fan is that hot air after combustion is sucked out of a combustion chamber of the boiler, negative pressure is formed in the boiler, and finally the hot air is discharged into the atmosphere after dust removal, desulfurization and denitration. Traditional draught fan monitoring is to periodically patrol and judge draught fan faults through experienced staff. However, the manual monitoring can only be performed regularly, long-term monitoring cannot be performed, and the manual monitoring accuracy is low.
Based on this, the following embodiments of the present application provide a method, an apparatus, and an electronic device for monitoring abnormal sound of operation of an induced draft fan, where multiple paths of sound signals sent by the induced draft fan are obtained through multiple paths of sound pickup devices, the multiple paths of sound signals are combined into one path of monitoring signal under the effect of preprocessing of an uneven algorithm, then the monitoring signal is processed, multiple abnormal sound identification features are extracted, and the abnormal sound identification features are input into an abnormal sound monitoring model of the induced draft fan, so as to obtain an abnormal sound identification result of whether the abnormal sound occurs in the induced draft fan; the monitoring time of the induced draft fan is greatly prolonged, the induced draft fan is monitored continuously in a full period, the running states of various parts of the induced draft fan can be continuously monitored, the induced draft fan can be timely maintained and overhauled when the induced draft fan is determined to be faulty according to abnormal sound identification results, and the use cost of an induced draft fan diagnosis system and the fault shutdown time of the induced draft fan are reduced.
In order to make the principle of the present application achieving the above technical effects more obvious, the present application will be described in further detail with reference to the accompanying drawings and examples.
Example 1
The execution main body of the induced draft fan operation abnormal sound monitoring method provided by the embodiment is a server.
Referring to a schematic flow chart of a method for monitoring abnormal operation noise of an induced draft fan shown in fig. 1, the embodiment provides a method for monitoring abnormal operation noise of an induced draft fan, which comprises the following steps:
step 100: acquire the sound that the draught fan operation in-process sent, sound includes: each path of sound signals respectively collected by each path of sound pickup equipment in the multipath sound pickup equipment.
In step 100, in order to monitor the operation state of the induced draft fan, a plurality of pickup devices are installed near the induced draft fan, and a certain distance is reserved between the pickup devices and the induced draft fan. Meanwhile, the distances between different pickup devices and the induced draft fan can be the same or different, but the different pickup devices are required to be installed near different parts of the induced draft fan. Therefore, each path of sound signals sent by different parts in the induced draft fan are collected by using each path of sound pickup equipment.
And the sound pickup devices are respectively connected with the servers, so that the servers can acquire sounds generated in the operation process of the induced draft fan.
In particular, the above-mentioned sound pickup apparatuses include, but are not limited to: a microphone, a sound sensor, and an acoustic device; when the pickup equipment faces the direction of the induced draft fan, the collected sound signals are optimal. It should be noted that the pickup device may be a single pickup device or a plurality of pickup devices arranged near the induced draft fan at equal intervals; if the pickup device is an independent one, the pickup device only needs to monitor a certain independent component on the induced draft fan; if the pickup equipment is a plurality of, then indicate to need monitor whole body or partial part of draught fan, specifically need set for according to different demands. Therefore, the number of sound pickup apparatuses is not limited in the embodiments of the present application.
When the induced draft fan operates, all parts in the induced draft fan possibly make sound; the various components inside the induced draft fan include, but are not limited to: impeller, main shaft, exhaust wheel and shaft coupling.
Step 101: and carrying out non-average algorithm pretreatment on each path of sound signals, and synthesizing each path of sound signals into one path of monitoring signals of each path of sound signals.
In step 101, in order to combine multiple audio signals into one monitoring signal, the multiple audio signals need to be mapped and converted into multiple mapping signals, and the multiple mapping signals need to be weighted, so that the multiple mapping signals are combined into one monitoring signal of each audio signal.
Wherein, the mapping conversion refers to mapping conversion of the multipath sound signals by using a preset mapping function.
In one embodiment, the mapping function is a monotonic function, e.g., the mapping function is f (x), if the acquired sound signal is x 0 The converted monitoring signal is y 0 Then y 0 ＝f(x 0 )。
The mapping function may be in particular a logarithmic function, for example. The mapping function may be a logarithmic function: f (x) =m×ln (1+n) x ) The method comprises the steps of carrying out a first treatment on the surface of the m and n are coefficients, and m is more than 0, n is more than 1; for example, m=0.23, n=71, i.e. the mapping function is f (x) =0.23×ln (1+71) x ). Where x is the amount of mapping conversion required, i.e. each of the multiple paths of sound signals.
In order to perform the weighting processing on the multiple mapping signals, the multiple mapping signals are synthesized into one monitoring signal of each path of sound signal, and the following steps (1) to (4) may be performed:
(1) Calculating the time domain energy of each path of mapping signals in the multipath mapping signals;
(2) Sorting the plurality of mapping signals according to the size of the time domain energy;
(3) Assigning a first weight to the mapping signals with first time domain energy sequences in the plurality of paths of mapping signals, and assigning a second weight to the mapping signals except the mapping signals with first time domain energy sequences in the plurality of paths of mapping signals; wherein the first weight is greater than the second weight;
(4) And weighting each assigned mapping signal to obtain one monitoring signal of each path of sound signal.
In the above sub-step (1), the mapping signals are known, and the time domain energy corresponding to different mapping signals can be obtained by substituting each path of mapping signal into the following time domain energy formula:
where TE is the time domain energy, s is the mapping signal, end is the end time of the mapping signal, beg is the start time of the mapping signal, and n is the mapping signal length.
In the sub-step (2), the time domain energy corresponding to each path of mapping signals is obtained after the step (1), and then all the mapping signals are ordered according to the size of the time domain energy.
In the above sub-step (3), the first time domain energy ranking means that the time domain energy value is the largest, and the time domain energy is ranked from large to small, and a weight is assigned. The mapping signal corresponding to the first time domain energy is to be treated differently from other mapping signals, for example, the weight of the mapping signal corresponding to the first time domain energy may be set to 0.8, the remaining mapping signals bisect the second weight by 0.2, note that the above assigned weights 0.8 and 0.2 are only examples, and the first weight and the second weight may also be set to other values, only the first weight is required to be greater than the second weight, so the specific values of the first weight and the second weight are not limited in this embodiment. And after all the mapping signals are weighted, combining the weighted multipath mapping signals to be used as one path of monitoring signal.
Step 102: and processing the monitoring signals to obtain a plurality of abnormal sound identification characteristics.
In this embodiment, step 100 is to obtain all the sounds near the induced draft fan, and step 101 is to process all the obtained sounds and finally combine them into one path of monitoring signal, so as to facilitate the further processing in the subsequent steps. Step 102 is to extract a signal capable of judging whether the induced draft fan has a fault from one path of monitoring signal, and the signal is the abnormal sound identification characteristic of the induced draft fan. Then, in order to extract the abnormal sound recognition feature from the monitoring signal, the following steps (a) to (C) may be performed:
(A) Processing the monitoring signal based on a filtering algorithm to generate a filtering signal;
(B) Performing Fourier spectrum conversion on the filtered signal to obtain the spectrum signal;
(C) And carrying out standard energy normalization processing on the frequency spectrum signals to obtain a plurality of abnormal sound identification features.
In the above step (a), the filtering algorithm mentioned is prior art, and thus will not be repeated. In particular, the above mentioned filtering bands are 50Hz-20000Hz.
In the above step (C), the abnormal sound identification feature obtained by the standard energy normalization processing may be realized by the following steps (C1) to (C2):
(C1) Dividing the frequency spectrum signal to obtain a plurality of specific frequency bands after the frequency spectrum signal is divided;
(C2) And processing the specific frequency bands after the frequency spectrum signals are divided to obtain the abnormal sound identification characteristic of each specific frequency band.
In the step (C1), after repeated tests, the voiceprint energy characteristics are most obvious when the spectrum signal is divided into 100 parts. Illustratively, the spectral signal is divided into 100 specific frequency bands, wherein the filtered frequency bands are divided as evenly as possible; the first specific frequency band is set independently, the frequency band length of the first specific frequency band is set to 150Hz, and the frequency band length of the remaining specific frequency bands is set to 200Hz.
A plurality of specific frequency bands after the filtering frequency band division, comprising: the first specific frequency band is 50Hz-200Hz, the second specific frequency band is 200Hz-400Hz, the third specific frequency band is 400Hz-600Hz, …, and the 100 th specific frequency band is 19800Hz-20000Hz.
In the step (C2), the specific frequency band is processed to obtain abnormal sound identification characteristics of the specific frequency band, and the above-mentioned "processing" refers to that the sum of the energies of a certain specific frequency band is obtained according to the sum formula of the energies related to the step (C1), and then the standard energies of all specific frequency bands are obtained. Then to obtain the abnormal sound identification characteristic of each of the specific frequency bands, the following steps (C21) to (C24) may be performed:
(C21) Calculating the sum of the energy of a first specific frequency band in the specific frequency bands;
(C22) Calculating the energy sum of each specific frequency band except the first specific frequency band in the specific frequency bands, and obtaining the median of the energy sum of each specific frequency band except the first specific frequency band;
(C23) Calculating the standard deviation between the sum of the energy of the first specific frequency band and the median, and determining the standard deviation obtained by calculation as standard energy of a plurality of specific frequency bands;
(C24) The abnormal sound identification characteristic of each specific frequency band is obtained through calculation according to the following formula:
wherein the IC j Indicating the j-th abnormal sound recognition feature, en j The sum of the energy of the j-th specific frequency band is represented, and SE represents the standard energy.
In the step (C21), a frequency band energy sum is calculated for each of a plurality of specific frequency bands in the spectrum signal by the following formula:
wherein En is j BEG representing the sum of the energy of the jth specific frequency band j Represents the start frequency of the jth specific frequency band, (BEG) j +1) j Represents the 2 nd frequency, END, in the j-th specific frequency band j Indicating the termination frequency of the j-th specific frequency band.
For example, when j is 1, that is, the first specific frequency band, it is known from the above that the first specific frequency band is 50Hz to 200Hz. Then, the sum of the energies of the first specific frequency band is:
wherein En is 1 Representing the sum of the energies of the first specific frequency band, 50 1 Indicating a first specific frequency band having a start frequency of 50, 200 1 Indicating that the termination frequency of the first particular frequency band is 200.
Accordingly, the process of summing the energy of the other 99 specific frequencies in the filtering frequency band is shown above, and thus will not be repeated.
Step 103: and processing the abnormal sound identification features by using an abnormal sound monitoring model of the induced draft fan to obtain an abnormal sound identification result.
In step 103, the abnormal noise monitoring model of the induced draft fan is a neural network model based on an artificial intelligence recognition algorithm. In particular, the artificial intelligence recognition algorithm is a decision tree algorithm of a multi-level neural network. Because the decision tree algorithm of the multi-level neural network is the prior art, the specific abnormal sound identification characteristic identification process is not repeated. Specifically, if the identification result is a known fault acoustic feature, the fault data and time are reported and added into a fault acoustic sample library. If the identification result is not matched with the fault acoustic characteristics in the fault acoustic sample library, not reporting.
In summary, the embodiment provides a method for monitoring abnormal sound of operation of an induced draft fan, wherein a plurality of paths of sound signals sent by the induced draft fan are obtained through a plurality of paths of pickup devices, the paths of sound signals are combined into a path of monitoring signal under the effect of preprocessing of an uneven algorithm, then the monitoring signal is processed, a plurality of abnormal sound identification features are extracted, and the abnormal sound identification features are input into an abnormal sound monitoring model of the induced draft fan to obtain an abnormal sound identification result of whether the abnormal sound of the induced draft fan occurs or not; the monitoring time of the induced draft fan is greatly prolonged, the induced draft fan is monitored continuously in a full period, the running states of various parts of the induced draft fan can be continuously monitored, the induced draft fan can be timely maintained and overhauled when the induced draft fan is determined to be faulty according to abnormal sound identification results, and the use cost of an induced draft fan diagnosis system and the downtime of the induced draft fan due to the fault are reduced.
Example 2
The embodiment also provides an induced-draught fan operation abnormal sound monitoring device, which is used for executing the induced-draught fan operation abnormal sound monitoring method provided in embodiment 1.
Referring to a schematic structural diagram of an abnormal noise monitoring device for operation of an induced draft fan shown in fig. 2, this embodiment provides an abnormal noise monitoring device for operation of an induced draft fan, and the device includes:
the acquisition module 200 acquires sound emitted in the operation process of the induced draft fan, wherein the sound comprises: each path of sound signals respectively collected by each path of sound collecting equipment in the multipath sound collecting equipment;
the algorithm module 201 performs non-average algorithm preprocessing on the voice signals, and synthesizes the voice signals into one monitoring signal of each voice signal;
the processing module 202 is used for processing the monitoring signals to obtain a plurality of abnormal sound identification characteristics;
and a result module 203, for processing the abnormal sound identification features by using the abnormal sound monitoring model of the induced draft fan to obtain an abnormal sound identification result.
Further, the algorithm module is specifically configured to:
and mapping and converting the multipath sound signals into multipath mapping signals, weighting the multipath mapping signals, and synthesizing the multipath mapping signals into one path of monitoring signals of each path of sound signals.
In summary, the embodiment provides an abnormal sound monitoring device for operation of an induced draft fan, wherein multiple paths of sound signals sent by the induced draft fan are obtained through multiple paths of pickup devices, the multiple paths of sound signals are combined into one path of monitoring signal under the effect of preprocessing of an uneven algorithm, then the monitoring signal is processed, multiple abnormal sound identification features are extracted, the abnormal sound identification features are input into an abnormal sound monitoring model of the induced draft fan, and an abnormal sound identification result of whether the abnormal sound occurs in the induced draft fan is obtained; the monitoring time to the draught fan is greatly prolonged, the draught fan is monitored continuously in a full period, the running states of various parts of the draught fan can be continuously monitored, the draught fan can be timely maintained and overhauled when the fault of the draught fan is determined according to abnormal sound identification results, and the use cost of a draught fan diagnosis system and the downtime of the fault of the draught fan are reduced.
Example 3
The present embodiment proposes a computer readable storage medium, on which a computer program is stored, which when executed by a processor performs the steps of the induced-draught fan operation abnormal sound monitoring method described in the above embodiment 1. The specific implementation can be referred to method embodiment 1, and will not be described herein.
In addition, referring to the schematic structural diagram of an electronic device shown in fig. 3, the present embodiment further proposes an electronic device, which includes a bus 300, a processor 301, a transceiver 302, a bus interface 303, a memory 304, and a user interface 305. The electronic device includes a memory 304.
In this embodiment, the electronic device further includes: one or more programs stored on memory 304 and executable on processor 301, configured to be executed by the processor for performing steps (1) through (4) below:
(1) Acquire the sound that the draught fan operation in-process sent, sound includes: each path of sound signals respectively collected by each path of sound collecting equipment in the multipath sound collecting equipment;
(2) Carrying out non-average algorithm pretreatment on each path of sound signals, and synthesizing each path of sound signals into one path of monitoring signals of each path of sound signals;
(3) Processing the monitoring signals to obtain a plurality of abnormal sound identification characteristics;
(4) And processing the abnormal sound identification features by using an abnormal sound monitoring model of the induced draft fan to obtain an abnormal sound identification result.
A transceiver 302 for receiving and transmitting data under the control of the processor 301.
Where bus architecture (represented by bus 300), bus 300 may comprise any number of interconnected buses and bridges, with bus 300 linking together various circuits, including one or more processors, as represented by processor 301, and memory, as represented by memory 304. Bus 300 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., as are well known in the art and, therefore, will not be described further herein. Bus interface 303 provides an interface between bus 300 and transceiver 302. The transceiver 302 may be one element or may be a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. For example: the transceiver 302 receives external data from other devices. The transceiver 302 is used to transmit the data processed by the processor 301 to other devices. Depending on the nature of the computing system, a user interface 305 may also be provided, such as a keypad, display, speaker, microphone, joystick.
The processor 301 is responsible for managing the bus 300 and general processing as described above for running the general operating system 3041. And memory 304 may be used to store data used by processor 301 in performing operations.
Alternatively, the processor 301 may be, but is not limited to: a central processing unit, a single chip microcomputer, a microprocessor or a programmable logic device.
It will be appreciated that the memory 304 in embodiments of the application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable EPROM (EEPROM), or a flash Memory. The volatile memory may be random access memory (Random Access Memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (Double Data Rate SDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and Direct RAM (DRRAM). The memory 304 of the system and method described in this embodiment is intended to comprise, without being limited to, these and any other suitable types of memory.
In some implementations, the memory 304 stores the following elements, executable modules or data structures, or a subset thereof, or an extended set thereof: an operating system 3041 and application programs 3042.
The operating system 3041 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, for implementing various basic services and processing hardware-based tasks. The application 3042 includes various application programs such as a Media Player (Media Player), a Browser (Browser), and the like for realizing various application services. A program for implementing the method of the embodiment of the present application may be included in the application program 3042.
The foregoing is merely a specific implementation of the embodiment of the present application, but the protection scope of the embodiment of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the embodiment of the present application, and the changes or substitutions are covered by the protection scope of the embodiment of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. The method for monitoring abnormal operation sound of the induced draft fan is characterized by comprising the following steps of:
acquire the sound that the draught fan operation in-process sent, sound includes: each path of sound signals respectively collected by each path of sound collecting equipment in the multipath sound collecting equipment;
carrying out non-average algorithm pretreatment on each path of sound signals, and synthesizing each path of sound signals into one path of monitoring signals of each path of sound signals;
processing the monitoring signals to obtain a plurality of abnormal sound identification characteristics;
and processing the abnormal sound identification features by using an abnormal sound monitoring model of the induced draft fan to obtain an abnormal sound identification result.
2. The method for monitoring abnormal operation sound of an induced draft fan according to claim 1, wherein said performing an uneven algorithm preprocessing on each of said sound signals, synthesizing each of said sound signals into one monitoring signal of each of said sound signals, comprises:
and mapping and converting the multipath sound signals into multipath mapping signals, weighting the multipath mapping signals, and synthesizing the multipath mapping signals into one path of monitoring signals of each path of sound signals.
3. The method for monitoring abnormal operation sound of induced draft fan according to claim 2, wherein,
the weighting processing is performed on the multipath mapping signals, and the multipath mapping signals are synthesized into one path of monitoring signals of each path of sound signals, including:
calculating the time domain energy of each path of mapping signals in the multipath mapping signals;
sorting the plurality of mapping signals according to the size of the time domain energy;
assigning a first weight to the mapping signals with first time domain energy sequences in the plurality of paths of mapping signals, and assigning a second weight to the mapping signals except the mapping signals with first time domain energy sequences in the plurality of paths of mapping signals; wherein the first weight is greater than the second weight;
and weighting each assigned mapping signal to obtain one monitoring signal of each path of sound signal.
4. The method for monitoring abnormal operation noise of an induced draft fan according to claim 1, wherein said processing the monitoring signal to obtain a plurality of abnormal operation noise identification features includes:
processing the monitoring signal based on a filtering algorithm to generate a filtering signal;
performing Fourier spectrum conversion on the filtered signal to obtain the spectrum signal;
and carrying out standard energy normalization processing on the frequency spectrum signals to obtain a plurality of abnormal sound identification features.
5. The method for monitoring abnormal operation sound of induced draft fan according to claim 4, wherein,
the performing standard energy normalization processing on the spectrum signal to obtain a plurality of abnormal sound identification features includes:
dividing the frequency spectrum signal to obtain a plurality of specific frequency bands after the frequency spectrum signal is divided;
and processing the specific frequency bands after the frequency spectrum signals are divided to obtain the abnormal sound identification characteristics of each specific frequency band.
6. The method for monitoring abnormal sound during operation of an induced draft fan according to claim 5, wherein said processing the plurality of specific frequency bands divided by the spectrum signal to obtain the abnormal sound identification feature of each specific frequency band comprises:
calculating the sum of the energy of a first specific frequency band in the specific frequency bands;
calculating the sum of the energy of each specific frequency band except the first specific frequency band in the specific frequency bands, and obtaining the median of the sum of the energy of each specific frequency band except the first specific frequency band;
calculating the standard deviation between the sum of the energy of the first specific frequency band and the median, and determining the standard deviation obtained by calculation as standard energy of a plurality of specific frequency bands;
the abnormal sound identification characteristic of each specific frequency band is obtained through calculation according to the following formula:
wherein the IC j Indicating the j-th abnormal sound recognition feature, en j The sum of the energy of the j-th specific frequency band is represented, and SE represents the standard energy.
7. An induced draft fan operation abnormal sound monitoring devices, its characterized in that includes:
the collection module obtains the sound that the draught fan sent in the operation process, sound includes: each path of sound signals respectively collected by each path of sound collecting equipment in the multipath sound collecting equipment;
the algorithm module is used for carrying out non-average algorithm pretreatment on each path of sound signals and synthesizing each path of sound signals into one path of monitoring signals of each path of sound signals;
the processing module is used for processing the monitoring signals to obtain a plurality of abnormal sound identification characteristics;
and the result module is used for processing the abnormal sound identification characteristics by using the abnormal sound monitoring model of the induced draft fan to obtain an abnormal sound identification result.
8. The device for monitoring abnormal operation sound of an induced draft fan according to claim 7, wherein said algorithm module is specifically configured to:
and mapping and converting the multipath sound signals into multipath mapping signals, weighting the multipath mapping signals, and synthesizing the multipath mapping signals into one path of monitoring signals of each path of sound signals.
9. An electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and operable on the processor, the transceiver, the memory and the processor being connected by the bus, characterized in that the computer program when executed by the processor implements the steps of the induced draft fan operation abnormal sound monitoring method according to any one of claims 1 to 6.
10. A computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the induced draft fan operation abnormal sound monitoring method according to any one of claims 1 to 6.
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| CN202310871944.5A CN116907632A (en) | 2023-07-17 | 2023-07-17 | Method and device for monitoring abnormal operation sound of induced draft fan and electronic equipment |
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| CN202310871944.5A CN116907632A (en) | 2023-07-17 | 2023-07-17 | Method and device for monitoring abnormal operation sound of induced draft fan and electronic equipment |
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