CN113792829A - Water turbine inspection method and device, computer equipment and storage medium - Google Patents
Water turbine inspection method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The utility model provides a water turbine inspection method, a water turbine inspection device, computer equipment and a storage medium, wherein the method comprises the steps of acquiring multimedia data of a water turbine inspection scene; detecting sensory mode data in a water turbine inspection scene; and determining a routing inspection result corresponding to the water turbine based on the multimedia data and the sensory mode data. Through this openly, can promote the hydraulic turbine of hydraulic power plant and patrol and examine efficiency, reduce the degree of difficulty that the hydraulic turbine patrolled and examined to a great extent, promote the hydraulic turbine of hydraulic power plant effectively and patrol and examine efficiency.
Description
Technical Field
The disclosure relates to the technical field of intelligent patrol of hydraulic power plants, in particular to a method and a device for patrolling a water turbine, computer equipment and a storage medium.
Background
In recent years, the main methods for routing inspection of hydraulic turbines in hydraulic power plants comprise a traditional routing inspection mode and a handheld intelligent routing inspection mode. The main method comprises the following steps:
the traditional inspection mode is as follows: the traditional method has the problems that the inspection is untimely, personal safety risks cannot be solved, scientific analysis and prejudgment cannot be performed on equipment performance data, and the like, and the equipment safety and stable operation cannot be influenced due to the fact that the hidden danger of the equipment cannot be found and eliminated in time. Mode is patrolled and examined to hand-held type intelligence: the system consists of equipment inspection background management software, intelligent inspection equipment and an electronic tag. The patrol management software completes the function settings of patrol points, patrol items, patrol routes, patrol plans and the like, and realizes the functions of patrol record inquiry, in-place statistics, missed inspection statistics, trend analysis, defect tracking and the like. The electronic tag is used for uniquely identifying the site inspection tour point. The intelligent inspection equipment machine is used as an inspection instrument and can identify an on-site electronic tag or a one-dimensional/two-dimensional bar code. Meanwhile, the System has a Near Field Communication (NFC) card reading function, and can complete the routing inspection management of identification, data acquisition, photographing, video recording, Global Positioning System (GPS) position Positioning, wireless data transmission and the like of a Field routing inspection point.
Under the modes, for the traditional inspection mode, manual on-site inspection is relied on, the personnel management difficulty is high, the labor intensity is high, the inspection efficiency is low, and the construction requirement of a novel intelligent power plant cannot be met; for the handheld intelligent inspection mode, service personnel are required to inspect and scan codes on site, and the working intensity and the inspection frequency are still high.
Disclosure of Invention
The present disclosure is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the purpose of the present disclosure is to provide a method and an apparatus for inspecting a water turbine, a computer device, and a storage medium, which can improve the inspection efficiency of the water turbine in a hydraulic power plant, reduce the inspection difficulty of the water turbine to a great extent, and effectively improve the inspection effect of the water turbine.
In order to achieve the above object, an embodiment of the first aspect of the present disclosure provides a method for inspecting a water turbine, including: the method comprises the steps of obtaining multimedia data of a water turbine inspection scene, detecting sensory mode data in the water turbine inspection scene, and determining an inspection result corresponding to the water turbine based on the multimedia data and the sensory mode data.
According to the water turbine inspection method provided by the embodiment of the first aspect of the disclosure, the multimedia data of the water turbine inspection scene is acquired, the sensory mode data in the water turbine inspection scene is detected, and the inspection result corresponding to the water turbine is determined based on the multimedia data and the sensory mode data, so that the inspection efficiency of the water turbine of a hydraulic power plant can be improved, the inspection difficulty of the water turbine is reduced to a greater extent, and the inspection effect of the water turbine is effectively improved.
In order to achieve the above object, an embodiment of the second aspect of the present disclosure provides a water turbine inspection device, including: the system comprises an acquisition module, a detection module and a determination module, wherein the acquisition module is used for acquiring multimedia data of a water turbine inspection scene, the detection module is used for detecting sensory mode data in the water turbine inspection scene, and the determination module is used for determining an inspection result corresponding to the water turbine based on the multimedia data and the sensory mode data.
The hydraulic turbine inspection device provided by the embodiment of the second aspect of the disclosure detects sensory mode data in the hydraulic turbine inspection scene by acquiring multimedia data of the hydraulic turbine inspection scene, determines an inspection result corresponding to the hydraulic turbine based on the multimedia data and the sensory mode data, can improve the hydraulic turbine inspection efficiency of a hydraulic power plant, greatly reduces the difficulty of hydraulic turbine inspection, and effectively improves the inspection effect of the hydraulic turbine.
A third embodiment of the present disclosure provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the water turbine inspection method as set forth in the first embodiment of the present disclosure is implemented.
A fourth aspect of the present disclosure provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the water turbine inspection method as set forth in the first aspect of the present disclosure.
A fifth aspect of the present disclosure provides a computer program product, which when executed by an instruction processor, performs the water turbine inspection method according to the first aspect of the present disclosure.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a water turbine inspection method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a water turbine inspection method according to another embodiment of the present disclosure;
fig. 3 is a schematic diagram of an image recognition technique and a voiceprint monitoring technique according to an embodiment of the disclosure;
fig. 4 is a schematic structural diagram of a water turbine inspection device according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a water turbine inspection device according to another embodiment of the present disclosure;
FIG. 6 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of illustrating the present disclosure and should not be construed as limiting the same. On the contrary, the embodiments of the disclosure include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Fig. 1 is a schematic flow chart of a water turbine inspection method according to an embodiment of the present disclosure.
It should be noted that the main execution body of the water turbine inspection method of this embodiment is a water turbine inspection device, the device may be implemented in a software and/or hardware manner, the device may be configured in an electronic device, and the electronic device may include, but is not limited to, a terminal, a server, and the like.
As shown in fig. 1, the water turbine inspection method includes:
s101: and acquiring multimedia data of the water turbine inspection scene.
The method for acquiring the multimedia data of the water turbine inspection scene includes the steps of acquiring the multimedia data of the water turbine inspection scene, directly acquiring the multimedia data through a multimedia product which is transmitted in real time, and also indirectly acquiring the multimedia data from a storage medium or cloud storage which records and collects the multimedia data, and the method is not limited to this.
The multimedia data may be a generic name of a plurality of multimedia data types describing the inspection scene, including but not limited to a series of products recording image data, such as a high-definition video camera, a video recorder, and a camera, and audio data or video data captured by a recording pen, a microphone, and a device with a recording function, and the like, which is not limited thereto.
For example, in a water turbine inspection scene, a monitoring camera with a video recording function may be used to record image signals of the whole running water turbine and parts, a microphone with a sound recording function or a sound recorder is used to collect voiceprint signals of the whole running water turbine and parts, and the image signals and the voiceprint signals may be used together as multimedia data without limitation.
S102: and detecting sensory mode data in the water turbine inspection scene.
The sensory modality data may be data collected by various simulated receptors simulating human senses, such as vision, hearing, and the like, or may be data that can describe the senses or have similar meanings generated according to sensory factors in the environment, which is not limited in this respect.
For example, in a water turbine inspection scene, sensory simulation electronic components such as an electronic eye and a voiceprint recognizer may be used to record state data of an environment, and the state data may be referred to as sensory mode data.
S103: and determining a routing inspection result corresponding to the water turbine based on the multimedia data and the sensory mode data.
When the routing inspection result corresponding to the water turbine is determined based on the multimedia data and the sensory simulation data, the routing inspection result can be determined by comparing the multimedia data and the sensory simulation data with a set standard value, and measured values can be sorted by utilizing an algorithm to form one or more comprehensive comparison models, so that the corresponding routing inspection result is determined, and the method is not limited.
Optionally, based on the multimedia data, determining a routing inspection result corresponding to the water turbine, and performing video feature extraction on operation video data of a bearing, an oil tank and a pipeline of the water turbine to obtain image features to be matched; matching the image characteristics to be matched with the reference image characteristics to determine crack position information of a bearing, an oil tank and a pipeline of the water turbine and start-stop position information respectively corresponding to a water pump and an oil pump of the water turbine; the crack position information and the start-stop position information are used as the inspection result, so that the crack position information of a bearing, an oil tank and a pipeline of the water turbine can be automatically identified by combining with multimedia data, and the start-stop position information corresponding to a water pump and an oil pump of the water turbine respectively is realized, so that the integrity and the comprehensiveness of the inspection of the water turbine are effectively improved.
For example, in a water turbine inspection scene, a crack recognition algorithm of a mechanical part of a water turbine set is preset according to an image comparison technology, a static part and a rotating part of the water turbine in an inspection area during operation are monitored, early warning is given out when cracks exist, corresponding start-stop position information respectively corresponding to a water pump and an oil pump of the water turbine is provided, and a water leakage and oil leakage monitoring early warning algorithm is preset based on the image comparison technology; in the aspect of voiceprint monitoring, parts such as a unit bearing oil tank and a pipeline are monitored in real time, a runner abnormity discrimination algorithm is preset based on a spectrum analysis method of big data mining, and therefore early warning is conducted on fault sounds (scraping, collision, jamming and the like) of a water turbine runner part.
In this embodiment, multimedia data through obtaining the hydraulic turbine scene of patrolling and examining, detect the hydraulic turbine and patrol and examine the sensory mode data among the scene, based on multimedia data and sensory mode data, confirm the result of patrolling and examining that corresponds with the hydraulic turbine, can promote the hydraulic turbine of hydraulic power plant and patrol and examine efficiency, reduce the degree of difficulty that the hydraulic turbine was patrolled and examined to a great extent, promote the effect of patrolling and examining of hydraulic turbine effectively.
Fig. 2 is a schematic flow chart of a water turbine inspection method according to another embodiment of the present disclosure.
As shown in fig. 2, the water turbine inspection method includes:
s201: and respectively acquiring the running audio data of a water turbine runner and a water turbine draft tube in the water turbine inspection scene.
The audio data generated during the operation of the turbine runner and the turbine draft tube may be referred to as operation audio data.
In the embodiment of the disclosure, a plurality of reference voiceprint feature libraries which are labeled in advance can be established, wherein the voiceprint feature libraries comprise voiceprint features of a water turbine runner and a water turbine draft tube during normal operation.
The method comprises the steps of obtaining operation audio data of a water turbine runner and a water turbine draft tube in a water turbine inspection scene, obtaining operation audio data generated when the water turbine runner and the water turbine draft tube operate, extracting features of the operation audio data to extract voiceprint signal features to be matched, comparing the voiceprint signal features to be matched with a plurality of reference voiceprint feature libraries marked in advance, marking fault types aiming at certain possibly abnormal voiceprint signal features, and simultaneously regarding the detected fault types and corresponding voiceprint signal features and components (such as the water turbine runner, the water turbine draft tube and the like) belonging to the voiceprint signal features as inspection results.
S202: the method comprises the steps of respectively obtaining operation video data of a water turbine bearing, an oil tank and a pipeline in a water turbine inspection scene, wherein the operation video data and the operation audio data are jointly used as multimedia data.
In the embodiment of the disclosure, a plurality of reference image feature libraries can be labeled in advance, wherein the reference image feature libraries comprise reference image features or reference video features and the like corresponding to the running video data of a water turbine bearing, an oil tank and a pipeline.
The method comprises the steps of obtaining operation video data of a water turbine bearing, an oil tank and a pipeline in a water turbine inspection scene, obtaining the operation video data of the water turbine bearing, the oil tank and the pipeline, extracting video signal features to be matched through the operation video data, comparing the video signal features to be matched with reference video features in a plurality of reference image feature libraries marked in advance, marking fault types aiming at some video signal features (such as leaks, cracks or video images with large color differences) which possibly have abnormity, and taking detected fault types, the video signal features to be matched and components (the water turbine bearing, the oil tank, the pipeline and the like) to which the video signal features belong as inspection results.
S203: and detecting visual data and/or auditory data in the water turbine inspection scene, and taking the visual data and/or the auditory data as sensory modality data.
In this embodiment, a plurality of reference visual and/or auditory data feature databases which can be labeled in advance include target visual types and/or auditory types for gasoline, diesel oil and the like, and when the target visual types and/or auditory types are matched, the water turbine inspection scene is indicated to have an oil leakage event.
The visual and/or auditory data are subjected to characteristic analysis to obtain a visual type and/or an auditory type to be matched, then the visual type and/or the auditory type to be matched are compared with a target visual type and/or an auditory type which are labeled in advance, the condition in the hydraulic turbine inspection scene is judged, so that whether an oil leakage condition occurs or not is further determined, and if the visual type and/or the auditory type to be matched are the target visual type and/or the auditory type, an oil leakage event in the hydraulic turbine inspection scene can be determined. And determining oil leakage position information corresponding to the oil leakage event by combining the multimedia data, and taking the oil leakage position information as an inspection result.
In this embodiment, through the hydraulic turbine runner of acquireing respectively in the hydraulic turbine scene of patrolling and examining, the operation audio data of hydraulic turbine draft tube, acquire the hydraulic turbine bearing in the hydraulic turbine scene of patrolling and examining respectively, the oil tank, the operation video data of pipeline, operation audio data and operation video data are regarded as multimedia data jointly, detect vision and/or the sense of hearing data among the hydraulic turbine scene of patrolling and examining, and regard vision and/or sense of hearing data as sense organ modal data, can promote the hydraulic turbine efficiency of patrolling and examining of hydraulic power plant, reduce the degree of difficulty that the hydraulic turbine was patrolled and examined to a great extent, promote the effect of patrolling and examining of hydraulic turbine effectively.
Fig. 3 is a schematic diagram of an image recognition technique and a voiceprint monitoring technique according to an embodiment of the disclosure.
As shown in fig. 3, in the embodiment of the present disclosure, an image recognition and analysis technique may be adopted to perform image recognition and comparison on cracks of a water turbine component and a runner, a position recognition algorithm for a water pump and an oil pump may also be used to recognize start and stop positions of the water pump and the oil pump, and a running and dripping recognition algorithm may be used for patrol and recognition of phenomena such as oil leakage of a bearing oil tank and a pipeline. Abnormal phenomena such as scraping, collision and jamming of a rotating part of the water turbine can be monitored by adopting a voiceprint monitoring and analyzing technology, and a real-time voiceprint frequency spectrum and a normal voiceprint frequency spectrum can be compared by adopting a voiceprint frequency spectrum analyzing technology, so that abnormal fault conditions can be judged, and the method is not limited.
Fig. 4 is a schematic structural diagram of a hydraulic turbine inspection device according to an embodiment of the present disclosure.
As shown in fig. 4, the hydraulic turbine inspection apparatus 40 includes:
the acquiring module 401 is configured to acquire multimedia data of a water turbine inspection scene;
the detection module 402 is used for detecting sensory modal data in a water turbine inspection scene;
and a determining module 403, configured to determine, based on the multimedia data and the sensory modality data, a patrol result corresponding to the water turbine.
In some embodiments of the present disclosure, as shown in fig. 5, fig. 5 is a schematic structural diagram of a hydraulic turbine inspection device according to another embodiment of the present disclosure, and the obtaining module 401 includes:
the first obtaining module 4011 is configured to obtain operating audio data of a turbine runner and a turbine draft tube in a turbine inspection scene respectively;
and the second obtaining module 4012 is configured to obtain operation video data of a water turbine bearing, an oil tank and a pipeline in the water turbine inspection scene respectively, where the operation video data and the operation audio data are used as multimedia data together.
In some embodiments of the present disclosure, the detection module 402 further includes:
and detecting visual data and/or auditory data in the water turbine inspection scene, and taking the visual data and/or the auditory data as sensory modality data.
In some embodiments of the present disclosure, the determining module 403 is specifically configured to:
carrying out audio characteristic extraction on the operation audio data of the water turbine runner and the water turbine draft tube to obtain vocal print characteristics to be matched;
comparing the voiceprint features to be matched with a plurality of reference voiceprint features marked in advance to determine the reference voiceprint features matched with the voiceprint features to be matched;
and taking the fault type to which the matched reference voiceprint characteristics belong as a routing inspection result.
In some embodiments of the present disclosure, the determining module 403 is specifically configured to:
performing video feature extraction on the operation video data of the water turbine bearing, the oil tank and the pipeline to obtain image features to be matched;
matching the image characteristics to be matched with the reference image characteristics to determine crack position information of a bearing, an oil tank and a pipeline of the water turbine and start-stop position information respectively corresponding to a water pump and an oil pump of the water turbine;
and taking the crack position information and the start-stop position information as the inspection result.
Corresponding to the water turbine inspection method provided by the embodiments of fig. 1 to 3, the present disclosure also provides a water turbine inspection device, and since the water turbine inspection device provided by the embodiments of the present disclosure corresponds to the water turbine inspection method provided by the embodiments of fig. 1 to 3, the implementation manner of the water turbine inspection method is also applicable to the water turbine inspection device provided by the embodiments of the present disclosure, and will not be described in detail in the embodiments of the present disclosure.
In this embodiment, multimedia data through obtaining the hydraulic turbine scene of patrolling and examining, detect the hydraulic turbine and patrol and examine the sensory mode data among the scene, based on multimedia data and sensory mode data, confirm the result of patrolling and examining that corresponds with the hydraulic turbine, can promote the hydraulic turbine of hydraulic power plant and patrol and examine efficiency, reduce the degree of difficulty that the hydraulic turbine was patrolled and examined to a great extent, promote the effect of patrolling and examining of hydraulic turbine effectively.
In order to implement the foregoing embodiments, the present disclosure also provides a computer device, including: the system comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, and when the processor executes the program, the water turbine inspection method provided by the previous embodiment of the disclosure is realized.
In order to achieve the above embodiments, the present disclosure also proposes a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the water turbine inspection method as proposed by the foregoing embodiments of the present disclosure.
In order to implement the foregoing embodiments, the present disclosure also provides a computer program product, which when executed by an instruction processor in the computer program product, executes the water turbine inspection method according to the foregoing embodiments of the present disclosure.
FIG. 6 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present disclosure. The computer device 12 shown in fig. 6 is only one example and should not bring any limitations to the functionality or scope of use of the embodiments of the present disclosure.
As shown in FIG. 6, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Although not shown in FIG. 6, a disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk Read Only Memory (CD-ROM), a Digital versatile disk Read Only Memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the disclosure.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally perform the functions and/or methodologies of the embodiments described in this disclosure.
Computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with computer device 12, and/or with any devices (e.g., network card, modem, etc.) that enable computer device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Moreover, computer device 12 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network such as the Internet) via Network adapter 20. As shown, network adapter 20 communicates with the other modules of computer device 12 via bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing, such as the water turbine inspection method mentioned in the foregoing embodiments, by executing a program stored in the system memory 28.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present disclosure, "a plurality" means two or more unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present disclosure includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure, and that changes, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present disclosure.
Claims (12)
1. A water turbine inspection method is characterized by comprising the following steps:
acquiring multimedia data of a water turbine inspection scene;
detecting sensory mode data in the water turbine inspection scene;
and determining a routing inspection result corresponding to the water turbine based on the multimedia data and the sensory mode data.
2. The method of claim 1, wherein the obtaining multimedia data of the hydraulic turbine inspection scene comprises:
respectively acquiring running audio data of a water turbine runner and a water turbine draft tube in the water turbine inspection scene;
and respectively acquiring operation video data of a water turbine bearing, an oil tank and a pipeline in the water turbine inspection scene, wherein the operation video data and the operation audio data are jointly used as the multimedia data.
3. The method of claim 2, wherein the detecting sensory modality data within the turbine inspection scene comprises:
and detecting visual data and/or auditory data in the water turbine inspection scene, and taking the visual data and/or auditory data as the sensory modality data.
4. The method of claim 2, wherein determining the routing inspection result corresponding to the water turbine based on the multimedia data comprises:
carrying out audio characteristic extraction on the operation audio data of the water turbine runner and the water turbine draft tube to obtain voiceprint characteristics to be matched;
comparing the voiceprint features to be matched with a plurality of reference voiceprint features marked in advance to determine the reference voiceprint features matched with the voiceprint features to be matched;
and taking the fault type of the matched reference voiceprint characteristic as the inspection result.
5. The method of claim 2, wherein determining the routing inspection result corresponding to the water turbine based on the multimedia data comprises:
performing video feature extraction on the operation video data of the water turbine bearing, the oil tank and the pipeline to obtain image features to be matched;
matching the image features to be matched with the reference image features to determine crack position information of a bearing, an oil tank and a pipeline of the water turbine and start-stop position information respectively corresponding to a water pump and an oil pump of the water turbine;
and taking the crack position information and the start-stop position information as the inspection result.
6. A hydraulic turbine inspection device, its characterized in that, the device includes:
the acquisition module is used for acquiring multimedia data of a water turbine inspection scene;
the detection module is used for detecting sensory modal data in the water turbine inspection scene;
and the determining module is used for determining the routing inspection result corresponding to the water turbine based on the multimedia data and the sensory mode data.
7. The apparatus of claim 6, wherein the acquisition module comprises:
the first acquisition module is used for respectively acquiring the running audio data of a water turbine runner and a water turbine draft tube in the water turbine inspection scene;
and the second acquisition module is used for respectively acquiring the running video data of a water turbine bearing, an oil tank and a pipeline in the water turbine inspection scene, and the running audio data and the running video data are jointly used as the multimedia data.
8. The apparatus of claim 7, wherein the detection module is specifically configured to:
and detecting visual data and/or auditory data in the water turbine inspection scene, and taking the visual data and/or auditory data as the sensory modality data.
9. The apparatus of claim 7, wherein the determination module is specifically configured to:
carrying out audio characteristic extraction on the operation audio data of the water turbine runner and the water turbine draft tube to obtain voiceprint characteristics to be matched;
comparing the voiceprint features to be matched with a plurality of reference voiceprint features marked in advance to determine the reference voiceprint features matched with the voiceprint features to be matched;
and taking the fault type of the matched reference voiceprint characteristic as the inspection result.
10. The apparatus of claim 7, wherein the determination module is specifically configured to:
performing video feature extraction on the operation video data of the water turbine bearing, the oil tank and the pipeline to obtain image features to be matched;
matching the image features to be matched with the reference image features to determine crack position information of a bearing, an oil tank and a pipeline of the water turbine and start-stop position information respectively corresponding to a water pump and an oil pump of the water turbine;
and taking the crack position information and the start-stop position information as the inspection result.
11. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method according to any one of claims 1-5 when executing the program.
12. A storage medium in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform the method of any of claims 1-5.
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