CN116448234A - Power transformer running state voiceprint monitoring method and system - Google Patents
Power transformer running state voiceprint monitoring method and system Download PDFInfo
- Publication number
- CN116448234A CN116448234A CN202310573469.3A CN202310573469A CN116448234A CN 116448234 A CN116448234 A CN 116448234A CN 202310573469 A CN202310573469 A CN 202310573469A CN 116448234 A CN116448234 A CN 116448234A
- Authority
- CN
- China
- Prior art keywords
- power transformer
- monitoring
- sound
- regulation
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 103
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000004458 analytical method Methods 0.000 claims abstract description 67
- 230000005236 sound signal Effects 0.000 claims abstract description 46
- 230000002159 abnormal effect Effects 0.000 claims abstract description 11
- 230000001276 controlling effect Effects 0.000 claims abstract description 11
- 230000001105 regulatory effect Effects 0.000 claims abstract description 11
- 238000012549 training Methods 0.000 claims description 15
- 238000010276 construction Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 5
- 238000005457 optimization Methods 0.000 claims description 4
- 238000007405 data analysis Methods 0.000 abstract description 9
- 230000005856 abnormality Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 238000001514 detection method Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000008030 elimination Effects 0.000 description 3
- 238000003379 elimination reaction Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000005192 partition Methods 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 238000001845 vibrational spectrum Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a voiceprint monitoring method and a voiceprint monitoring system for an operating state of a power transformer, and relates to the technical field of power equipment monitoring. The method comprises the following steps: corresponding sound sensors are respectively arranged on the periphery of the power transformer, and sound signals of four directions of the power transformer are collected in real time based on the sound sensors; collecting vibration signals of the power transformer in real time through a vibration sensor; the method comprises the steps of importing sound signals and vibration signals of four directions of a power transformer into a preset state analysis model to generate operation state analysis information of the power transformer; and regulating and controlling the power transformer in an abnormal state according to the operation state analysis information of the power transformer based on a preset equipment regulation and control architecture. The invention can collect comprehensive power transformer sound data and perform accurate data analysis, thereby realizing accurate monitoring and remote high-efficiency regulation and control of the running state of the power transformer.
Description
Technical Field
The invention relates to the technical field of power equipment monitoring, in particular to a voiceprint monitoring method and a voiceprint monitoring system for an operating state of a power transformer.
Background
The prior conventional transformer detection technology cannot meet the requirements of the existing transformer detection, so that more and more transformer detection problems are caused, serious damage is finally caused, and loss is caused to power enterprises.
When the power transformer device operates in an abnormal working state or a fault defect state, certain amount of deformation can be generated on the internal structural components of the power transformer device, and vibration signals and acoustic signals generated by the power transformer can be changed accordingly, so that fault detection of the power transformer can be realized based on voiceprint recognition of the power transformer. However, in the prior art, the voiceprint signal of the abnormal state of the single power transformer is generally collected and analyzed, the collection mode is too simple and single, the collected data is not comprehensive and accurate enough, the operation state of the power transformer cannot be monitored comprehensively and accurately, and the operation safety of the power transformer cannot be effectively ensured. In addition, in the prior art, after faults are detected, the control is performed manually, the efficiency of the mode is low, certain human errors exist, and accurate and efficient equipment operation control cannot be realized.
Disclosure of Invention
In order to overcome the problems or at least partially solve the problems, the invention provides a voice print monitoring method and a voice print monitoring system for the running state of a power transformer, which can collect comprehensive voice data of the power transformer and perform accurate data analysis so as to realize accurate monitoring and remote efficient regulation and control of the running state of the power transformer.
In order to solve the technical problems, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for monitoring voiceprint of an operating state of a power transformer, including the steps of:
corresponding sound sensors are respectively arranged on the periphery of the power transformer, and sound signals of four directions of the power transformer are collected in real time based on the sound sensors;
collecting vibration signals of the power transformer in real time through a vibration sensor;
the method comprises the steps of importing sound signals and vibration signals of four directions of a power transformer into a preset state analysis model to generate operation state analysis information of the power transformer;
and regulating and controlling the power transformer in an abnormal state according to the operation state analysis information of the power transformer based on a preset equipment regulation and control architecture.
In order to ensure the monitoring accuracy of the power transformer, corresponding sound sensors are respectively arranged on the periphery (in four directions) of the power transformer in combination with the actual situation, and the four sound sensors are used for collecting the omnibearing sound signals of the power transformer so as to provide comprehensive and accurate data support for subsequent analysis; meanwhile, vibration signals of the power transformer are collected in real time based on a vibration sensor arranged on the power transformer; and then accurately analyzing the running state of the power transformer by combining a preset state analysis model with the real-time collected sound signal and vibration signal, and regulating and controlling the power transformer based on the equipment regulation and control framework in real time by combining analysis information, so that the normal running of the power transformer is ensured. According to the method, through collecting comprehensive power transformer sound data and carrying out accurate data analysis, accurate monitoring and remote efficient regulation and control on the running state of the power transformer are further achieved.
Based on the first aspect, the power transformer running state voiceprint monitoring method further comprises the following steps:
acquiring and constructing an initial transformer monitoring frame according to basic information of the power transformer;
respectively training an initial transformer monitoring frame according to historical operation sound data and vibration data to obtain a sound monitoring frame and a vibration monitoring frame;
and constructing a state analysis model based on the sound monitoring architecture and the vibration monitoring architecture according to a preset analysis strategy.
Based on the first aspect, the power transformer running state voiceprint monitoring method further comprises the following steps:
inputting basic information and distribution information of the power transformers in the target area, and setting corresponding regulation and control identifiers for the power transformers;
inputting basic information of the control equipment;
constructing an initial regulation and control framework according to the basic information of the control equipment and the basic information and regulation and control identification of each power transformer;
and optimizing the initial regulation and control framework according to the distribution information of each power transformer to obtain the equipment regulation and control framework.
Based on the first aspect, the power transformer running state voiceprint monitoring method further comprises the following steps:
and denoising the collected sound signals based on signal strength and signal difference value comparison of the four directions to obtain target sound signals.
In a second aspect, the invention provides a voiceprint monitoring system for an operation state of a power transformer, which comprises a sound acquisition module, a vibration acquisition module, a state analysis module and a regulation and control module, wherein:
the sound collection module is used for collecting sound signals of four directions of the power transformer in real time based on each sound sensor;
the vibration acquisition module is used for acquiring vibration signals of the power transformer in real time through the vibration sensor;
the state analysis module is used for guiding the sound signals and the vibration signals of the four directions of the power transformer into a preset state analysis model to generate operation state analysis information of the power transformer;
the regulation and control module is used for regulating and controlling the power transformer in an abnormal state according to the operation state analysis information of the power transformer based on a preset equipment regulation and control architecture.
The system acquires all-round sound signals of the power transformer through four sound sensors by matching a plurality of modules such as the sound acquisition module, the vibration acquisition module, the state analysis module and the regulation and control module, and provides comprehensive and accurate data support for subsequent analysis; meanwhile, vibration signals of the power transformer are collected in real time based on a vibration sensor arranged on the power transformer; and then accurately analyzing the running state of the power transformer by combining a preset state analysis model with the real-time collected sound signal and vibration signal, and regulating and controlling the power transformer based on the equipment regulation and control framework in real time by combining analysis information, so that the normal running of the power transformer is ensured. The system collects comprehensive power transformer sound data and performs accurate data analysis, so that accurate monitoring and remote efficient regulation and control of the running state of the power transformer are realized.
Based on the second aspect, the power transformer running state voiceprint monitoring system further comprises an initial monitoring frame construction module, a frame training module and a model construction module, wherein:
the initial monitoring frame construction module is used for acquiring and constructing an initial transformer monitoring frame according to the basic information of the power transformer;
the frame training module is used for acquiring and training the initial transformer monitoring frame according to the historical operation sound data and the vibration data respectively so as to obtain a sound monitoring framework and a vibration monitoring framework;
the model construction module is used for constructing a state analysis model based on the sound monitoring architecture and the vibration monitoring architecture according to a preset analysis strategy.
Based on the second aspect, further, the power transformer running state voiceprint monitoring system further comprises an information input unit, an initial regulation and control architecture building module and an architecture optimizing module, wherein:
the information input unit is used for inputting basic information and distribution information of the power transformers in the target area and setting corresponding regulation and control identifiers for the power transformers; inputting basic information of the control equipment;
the initial regulation and control architecture building module is used for building an initial regulation and control architecture according to the basic information of the control equipment, the basic information of each power transformer and the regulation and control identification;
and the architecture optimization module is used for optimizing the initial regulation and control architecture according to the distribution information of each power transformer so as to obtain the equipment regulation and control architecture.
Based on the second aspect, the power transformer running state voiceprint monitoring system further comprises a signal denoising module, wherein the signal denoising module is used for denoising the collected sound signal based on signal strength and signal difference value comparison of four directions so as to obtain a target sound signal.
In a third aspect, the present application provides an electronic device comprising a memory for storing one or more programs; a processor; the method of any of the first aspects described above is implemented when one or more programs are executed by a processor.
In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as in any of the first aspects described above.
The invention has at least the following advantages or beneficial effects:
the invention provides a voiceprint monitoring method and a voiceprint monitoring system for the running state of a power transformer, which are characterized in that four sound sensors are used for collecting all-round sound signals of the power transformer, so that comprehensive and accurate data support is provided for subsequent analysis; meanwhile, vibration signals of the power transformer are collected in real time based on a vibration sensor arranged on the power transformer; and then accurately analyzing the running state of the power transformer by combining a preset state analysis model with the real-time collected sound signal and vibration signal, and regulating and controlling the power transformer based on the equipment regulation and control framework in real time by combining analysis information, so that the normal running of the power transformer is ensured. According to the invention, through collecting comprehensive power transformer sound data and carrying out accurate data analysis, accurate monitoring and remote efficient regulation and control on the running state of the power transformer are realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for monitoring voiceprint of an operating state of a power transformer according to an embodiment of the present invention;
FIG. 2 is a flow chart of a state analysis model constructed in a voiceprint monitoring method for an operating state of a power transformer according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for monitoring voiceprint of an operating state of a power transformer for constructing a device control architecture according to an embodiment of the present invention;
FIG. 4 is a schematic block diagram of a voiceprint monitoring system for an operating condition of a power transformer according to an embodiment of the present invention;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.
Reference numerals illustrate: 100. a sound collection module; 200. a vibration acquisition module; 300. a state analysis module; 400. a regulation module; 101. a memory; 102. a processor; 103. a communication interface.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
It is noted that relational terms such as first and second, and the like are 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. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the description of the embodiments, "plurality" represents at least 2.
Examples:
as shown in fig. 1, in a first aspect, the present invention provides a method for monitoring a voiceprint of an operating state of a power transformer, including the steps of:
s1, respectively arranging corresponding sound sensors around the power transformer, and acquiring sound signals of four directions of the power transformer in real time based on the sound sensors;
s2, acquiring vibration signals of the power transformer in real time through a vibration sensor;
s3, importing sound signals and vibration signals of the four directions of the power transformer into a preset state analysis model to generate operation state analysis information of the power transformer; the power transformer operation state analysis information includes an operation vibration spectrum, a sound variation display diagram, abnormality or non-abnormality information, a fault type, an abnormality time, and the like.
S4, based on a preset equipment regulation and control architecture, regulating and controlling the power transformer in an abnormal state according to the operation state analysis information of the power transformer.
In order to ensure the monitoring accuracy of the power transformer, corresponding sound sensors are respectively arranged on the periphery (in four directions) of the power transformer in combination with the actual situation, and the four sound sensors are used for collecting the omnibearing sound signals of the power transformer so as to provide comprehensive and accurate data support for subsequent analysis; meanwhile, vibration signals of the power transformer are collected in real time based on a vibration sensor arranged on the power transformer; and then accurately analyzing the running state of the power transformer by combining a preset state analysis model with the real-time collected sound signal and vibration signal, and regulating and controlling the power transformer based on the equipment regulation and control framework in real time by combining analysis information, so that the normal running of the power transformer is ensured. According to the method, through collecting comprehensive power transformer sound data and carrying out accurate data analysis, accurate monitoring and remote efficient regulation and control on the running state of the power transformer are further achieved.
Based on the first aspect, the power transformer running state voiceprint monitoring method further comprises the following steps:
a1, acquiring and constructing an initial transformer monitoring frame according to basic information of a power transformer;
a2, acquiring and training an initial transformer monitoring frame according to historical operation sound data and vibration data respectively to obtain a sound monitoring frame and a vibration monitoring frame;
a3, constructing a state analysis model based on the sound monitoring architecture and the vibration monitoring architecture according to a preset analysis strategy.
In order to ensure efficient and accurate monitoring of the running state of the power transformer, firstly, an initial transformer monitoring frame with high applicability is constructed by combining the basic characteristics of the power transformer; then, respectively carrying out frame training by combining historical operation sound data and vibration data, and further constructing a reasonable sound monitoring framework and a reasonable vibration monitoring framework; finally, combining the duty ratio parameters of the sound abnormality analysis and the vibration abnormality analysis, combining and correlating the sound monitoring framework and the vibration monitoring framework, further constructing a perfect state analysis model, and realizing high-efficiency and accurate analysis of subsequent data based on the model to timely and effectively judge the running state of the power transformer.
Based on the first aspect, the power transformer running state voiceprint monitoring method further comprises the following steps:
b1, inputting basic information and distribution information of power transformers in a target area, and setting corresponding regulation and control identifiers for the power transformers;
b2, inputting basic information of the control equipment;
b3, constructing an initial regulation and control framework according to the basic information of the control equipment and the basic information and regulation and control identification of each power transformer;
and B4, optimizing the initial regulation and control framework according to the distribution information of each power transformer to obtain the equipment regulation and control framework.
In order to better realize the remote regulation and control effect and the dispatching efficiency of the equipment, a unique regulation and control identifier is set for each power transformer, and a targeted initial regulation and control architecture is built by combining the basic condition of the power transformer and the basic condition of the control equipment; in order to further improve the scheduling efficiency, the initial regulation and control architecture is optimized based on different distribution conditions of each power transformer, and a more reasonable equipment regulation and control architecture is constructed, so that efficient partition management is realized.
Based on the first aspect, the power transformer running state voiceprint monitoring method further comprises the following steps:
and denoising the collected sound signals based on signal strength and signal difference value comparison of the four directions to obtain target sound signals.
In order to improve the accuracy and the high efficiency of subsequent data analysis, the noise elimination processing is carried out on the collected sound signals, the sound signals with weak signal intensity are removed, the voiceprint characteristics of the sound signals collected by the sound sensors in four directions are compared, abnormal sound signals are removed, and more accurate and effective sound signals are obtained through layer-by-layer screening.
As shown in fig. 4, in a second aspect, the present invention provides a voiceprint monitoring system for an operating state of a power transformer, including a sound collection module 100, a vibration collection module 200, a state analysis module 300, and a regulation module 400, wherein:
the sound collection module 100 is used for collecting sound signals of four directions of the power transformer in real time based on each sound sensor;
the vibration acquisition module 200 is used for acquiring vibration signals of the power transformer in real time through the vibration sensor;
the state analysis module 300 is used for guiding the sound signals and the vibration signals of the four directions of the power transformer into a preset state analysis model to generate operation state analysis information of the power transformer;
the regulation and control module 400 is configured to regulate and control the power transformer in an abnormal state according to the analysis information of the operation state of the power transformer based on a preset device regulation and control architecture.
The system acquires all-round sound signals of the power transformer through four sound sensors by matching a plurality of modules such as the sound acquisition module 100, the vibration acquisition module 200, the state analysis module 300 and the regulation and control module 400, and provides comprehensive and accurate data support for subsequent analysis; meanwhile, vibration signals of the power transformer are collected in real time based on a vibration sensor arranged on the power transformer; and then accurately analyzing the running state of the power transformer by combining a preset state analysis model with the real-time collected sound signal and vibration signal, and regulating and controlling the power transformer based on the equipment regulation and control framework in real time by combining analysis information, so that the normal running of the power transformer is ensured. The system collects comprehensive power transformer sound data and performs accurate data analysis, so that accurate monitoring and remote efficient regulation and control of the running state of the power transformer are realized.
Based on the second aspect, the power transformer running state voiceprint monitoring system further comprises an initial monitoring frame construction module, a frame training module and a model construction module, wherein:
the initial monitoring frame construction module is used for acquiring and constructing an initial transformer monitoring frame according to the basic information of the power transformer;
the frame training module is used for acquiring and training the initial transformer monitoring frame according to the historical operation sound data and the vibration data respectively so as to obtain a sound monitoring framework and a vibration monitoring framework;
the model construction module is used for constructing a state analysis model based on the sound monitoring architecture and the vibration monitoring architecture according to a preset analysis strategy.
In order to ensure efficient and accurate monitoring of the running state of the power transformer, an initial transformer monitoring frame with high applicability is constructed by combining the basic characteristics of the power transformer through an initial monitoring frame construction module; then, respectively carrying out frame training by combining historical operation sound data and vibration data through a frame training module, so as to construct a reasonable sound monitoring framework and a reasonable vibration monitoring framework; finally, the sound monitoring architecture and the vibration monitoring architecture are combined and associated through a model construction module in combination with the duty ratio parameters of sound abnormality analysis and vibration abnormality analysis, so that a perfect state analysis model is constructed, high-efficiency and accurate analysis of follow-up data is realized based on the model, and the running state of the power transformer is timely and effectively judged.
Based on the second aspect, further, the power transformer running state voiceprint monitoring system further comprises an information input unit, an initial regulation and control architecture building module and an architecture optimizing module, wherein:
the information input unit is used for inputting basic information and distribution information of the power transformers in the target area and setting corresponding regulation and control identifiers for the power transformers; inputting basic information of the control equipment;
the initial regulation and control architecture building module is used for building an initial regulation and control architecture according to the basic information of the control equipment, the basic information of each power transformer and the regulation and control identification;
and the architecture optimization module is used for optimizing the initial regulation and control architecture according to the distribution information of each power transformer so as to obtain the equipment regulation and control architecture.
In order to better realize the remote regulation and control effect and the scheduling efficiency of the equipment, a unique regulation and control identifier is set for each power transformer through the cooperation of each module such as an information input unit, an initial regulation and control architecture building module, an architecture optimizing module and the like, and a targeted initial regulation and control architecture is built by combining the basic condition of the power transformer and the basic condition of control equipment; in order to further improve the scheduling efficiency, the initial regulation and control architecture is optimized based on different distribution conditions of each power transformer, and a more reasonable equipment regulation and control architecture is constructed, so that efficient partition management is realized.
Based on the second aspect, the power transformer running state voiceprint monitoring system further comprises a signal denoising module, wherein the signal denoising module is used for denoising the collected sound signal based on signal strength and signal difference value comparison of four directions so as to obtain a target sound signal.
In order to improve the accuracy and the high efficiency of subsequent data analysis, the noise elimination module is used for carrying out noise elimination processing on the collected sound signals, eliminating the sound signals with weaker signal intensity, comparing the voiceprint characteristics of the sound signals collected by the sound sensors in four directions, eliminating abnormal sound signals, and further obtaining more accurate and effective sound signals through layer-by-layer screening.
As shown in fig. 5, in a third aspect, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The method of any of the first aspects described above is implemented when one or more programs are executed by the processor 102.
And a communication interface 103, where the memory 101, the processor 102 and the communication interface 103 are electrically connected directly or indirectly to each other to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules that are stored within the memory 101 for execution by the processor 102 to perform various functional applications and data processing. The communication interface 103 may be used for communication of signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a random access Memory (Random Access Memory, RAM), a Read Only Memory (ROM), a programmable Read Only Memory (Programmable Read-Only Memory, PROM), an erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
The processor 102 may be an integrated circuit chip with signal processing capabilities. The processor 102 may be a general purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system may be implemented in other manners. The above-described method and system embodiments are merely illustrative, for example, flow charts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by the processor 102, implements a method as in any of the first aspects described above. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. The voiceprint monitoring method for the operation state of the power transformer is characterized by comprising the following steps of:
corresponding sound sensors are respectively arranged on the periphery of the power transformer, and sound signals of four directions of the power transformer are collected in real time based on the sound sensors;
collecting vibration signals of the power transformer in real time through a vibration sensor;
the method comprises the steps of importing sound signals and vibration signals of four directions of a power transformer into a preset state analysis model to generate operation state analysis information of the power transformer;
and regulating and controlling the power transformer in an abnormal state according to the operation state analysis information of the power transformer based on a preset equipment regulation and control architecture.
2. The method for voiceprint monitoring an operating condition of a power transformer according to claim 1, further comprising the steps of:
acquiring and constructing an initial transformer monitoring frame according to basic information of the power transformer;
respectively training an initial transformer monitoring frame according to historical operation sound data and vibration data to obtain a sound monitoring frame and a vibration monitoring frame;
and constructing a state analysis model based on the sound monitoring architecture and the vibration monitoring architecture according to a preset analysis strategy.
3. The method for voiceprint monitoring an operating condition of a power transformer according to claim 1, further comprising the steps of:
inputting basic information and distribution information of the power transformers in the target area, and setting corresponding regulation and control identifiers for the power transformers;
inputting basic information of the control equipment;
constructing an initial regulation and control framework according to the basic information of the control equipment and the basic information and regulation and control identification of each power transformer;
and optimizing the initial regulation and control framework according to the distribution information of each power transformer to obtain the equipment regulation and control framework.
4. The method for voiceprint monitoring an operating condition of a power transformer according to claim 1, further comprising the steps of:
and denoising the collected sound signals based on signal strength and signal difference value comparison of the four directions to obtain target sound signals.
5. The utility model provides a power transformer running state voiceprint monitoring system which characterized in that, including sound collection module, vibration collection module, state analysis module and regulation and control module, wherein:
the sound collection module is used for collecting sound signals of four directions of the power transformer in real time based on each sound sensor;
the vibration acquisition module is used for acquiring vibration signals of the power transformer in real time through the vibration sensor;
the state analysis module is used for guiding the sound signals and the vibration signals of the four directions of the power transformer into a preset state analysis model to generate operation state analysis information of the power transformer;
the regulation and control module is used for regulating and controlling the power transformer in an abnormal state according to the operation state analysis information of the power transformer based on a preset equipment regulation and control architecture.
6. The power transformer operating state voiceprint monitoring system of claim 5, further comprising an initial monitoring framework building module, a framework training module, and a model building module, wherein:
the initial monitoring frame construction module is used for acquiring and constructing an initial transformer monitoring frame according to the basic information of the power transformer;
the frame training module is used for acquiring and training the initial transformer monitoring frame according to the historical operation sound data and the vibration data respectively so as to obtain a sound monitoring framework and a vibration monitoring framework;
the model construction module is used for constructing a state analysis model based on the sound monitoring architecture and the vibration monitoring architecture according to a preset analysis strategy.
7. The power transformer operating state voiceprint monitoring system of claim 5, further comprising an information entry unit, an initial regulation architecture building module, and an architecture optimization module, wherein:
the information input unit is used for inputting basic information and distribution information of the power transformers in the target area and setting corresponding regulation and control identifiers for the power transformers; inputting basic information of the control equipment;
the initial regulation and control architecture building module is used for building an initial regulation and control architecture according to the basic information of the control equipment, the basic information of each power transformer and the regulation and control identification;
and the architecture optimization module is used for optimizing the initial regulation and control architecture according to the distribution information of each power transformer so as to obtain the equipment regulation and control architecture.
8. The system of claim 5, further comprising a signal denoising module configured to denoise the collected sound signal based on signal strength and signal difference ratio of four directions to obtain the target sound signal.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the method of any of claims 1-4 is implemented when the one or more programs are executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the method according to any of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310573469.3A CN116448234A (en) | 2023-05-19 | 2023-05-19 | Power transformer running state voiceprint monitoring method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310573469.3A CN116448234A (en) | 2023-05-19 | 2023-05-19 | Power transformer running state voiceprint monitoring method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116448234A true CN116448234A (en) | 2023-07-18 |
Family
ID=87132201
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310573469.3A Pending CN116448234A (en) | 2023-05-19 | 2023-05-19 | Power transformer running state voiceprint monitoring method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116448234A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117118087A (en) * | 2023-10-18 | 2023-11-24 | 国网甘肃省电力公司张掖供电公司 | Power equipment monitoring and early warning system and method |
-
2023
- 2023-05-19 CN CN202310573469.3A patent/CN116448234A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117118087A (en) * | 2023-10-18 | 2023-11-24 | 国网甘肃省电力公司张掖供电公司 | Power equipment monitoring and early warning system and method |
| CN117118087B (en) * | 2023-10-18 | 2024-01-12 | 国网甘肃省电力公司张掖供电公司 | Power equipment monitoring and early warning system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105424395B (en) | The definite method and apparatus of equipment fault | |
| CN103227734A (en) | Method for detecting abnormity of OpenStack cloud platform | |
| EP3315465A1 (en) | Method and system for dynamically managing waste water treatment process for optimizing power consumption | |
| CN116448234A (en) | Power transformer running state voiceprint monitoring method and system | |
| CN107679089A (en) | A kind of cleaning method for electric power sensing data, device and system | |
| CN106649755A (en) | Threshold self-adaption setting abnormity detection method for multi-dimensional real-time power transformation device data | |
| CN110852509A (en) | Fault prediction method and device of IGBT module and storage medium | |
| CN110909826A (en) | Diagnosis monitoring method and device for energy equipment and electronic equipment | |
| CN110411554B (en) | Motor equipment detection method, device and system | |
| CN108306997B (en) | Domain name resolution monitoring method and device | |
| CN110941558B (en) | Intelligent office remote operation and maintenance method and system | |
| CN117404767B (en) | Intelligent perception-based filter differential pressure safety monitoring method and system | |
| CN110866558A (en) | Multi-source data fusion analysis-based rotating equipment state early warning method | |
| CN115169650B (en) | Equipment health prediction method for big data analysis | |
| CN110990223A (en) | Monitoring alarm method and device based on system log | |
| EP4150422A1 (en) | System and method for determining a cause of an operating anomaly of a machine, computer program and electronically readable data storage device | |
| CN112860527A (en) | Fault monitoring method and device of application server | |
| CN113156529A (en) | Start-stop control method, system, terminal and storage medium of metrological verification assembly line | |
| JP7202248B2 (en) | PLANT CONDITION MONITORING SYSTEM AND PLANT CONDITION MONITORING METHOD | |
| CN109918372A (en) | A kind of parking lot monitoring and warning facility information collection and analysis system and analysis method | |
| CN110826716B (en) | Fault processing rule generation method and device | |
| CN110569287B (en) | Control method, system, electronic equipment and storage medium for product spot test | |
| CN116793653B (en) | Acoustic signal-based full life cycle monitoring method and system for rotating equipment | |
| CN117150032B (en) | Intelligent maintenance system and method for hydropower station generator set | |
| CN117077055A (en) | Load abnormality detection method, device, equipment and storage medium |
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 |