CN116662823A - Camera fault diagnosis method, system, electronic terminal and storage medium - Google Patents
Camera fault diagnosis method, system, electronic terminal and storage medium Download PDFInfo
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Abstract
The invention relates to a fault diagnosis method, a system, an electronic terminal and a storage medium for a camera, when a diagnosed camera is subjected to fault diagnosis, a wide-area sound vibration signal of the diagnosed camera is collected, a test wide-area sound vibration characteristic parameter of the diagnosed camera is obtained, and a fault type diagnosis result of the camera can be obtained by searching a wide-area sound vibration characteristic parameter matched with the test wide-area sound vibration characteristic parameter and a corresponding fault type in a camera fault working condition database. In addition, the fault diagnosis method of the camera also fuses and collects parameter information such as environmental signals, electrical signals of the camera and the like as the aid of diagnosis of wide-area sound vibration characteristic quantity of the camera, so that the fault diagnosis of the camera is more accurate.
Description
Technical Field
The invention relates to the technical field of camera fault diagnosis, in particular to a camera fault diagnosis method, a camera fault diagnosis system, an electronic terminal and a storage medium based on multi-parameter information fusion.
Background
In recent years, with the vigorous development of ultra-high voltage transmission engineering construction, the cross-region direct current scale is rapidly increased, the contradiction between strong, straight and weak intersections is prominent, and the voltage stability problems of different degrees exist in a transmitting power grid and a receiving power grid due to the dynamic reactive power deficiency of the power grid. In order to further ensure safe and stable operation of the alternating current-direct current series-parallel power grid, an effective reactive compensation means is required.
The phase-change modulator is used as a reactive compensation device and can be regarded as a synchronous motor without mechanical load, thereby not only providing short-circuit capacity for a power system, but also having stronger reactive output characteristic and having unique advantages in the aspect of dynamic reactive compensation. Under the action of electromagnetic stress and mechanical vibration transmission or due to the change of inherent mechanical characteristics, the defect position can generate abnormal vibration and finally radiate out in a sound mode, and abnormal noise and ultrasonic signals different from those generated when the equipment normally operates are generated. The failure of the camera has randomness, ambiguity and uncertainty, when the failure occurs, the failure state is related by various information data, or one information data reflects the occurrence of various failures, and different failure states may coexist. Aiming at the problem, a proper fault diagnosis method is needed to be adopted to identify the equipment state, so that the diagnosis and state evaluation of the fault of the modulating camera not only has important scientific research significance in academic, but also has good engineering application value.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, an object of the present invention is to provide a method, a system, an electronic terminal and a storage medium for diagnosing a malfunction of a camera, which can rapidly diagnose the malfunction of the camera.
In order to achieve the above object, the present invention provides a failure diagnosis method for a camera, comprising the following diagnosis steps:
1) Establishing a fault database
Collecting wide-area sound vibration characteristic parameters of various fault conditions of the camera, and storing the wide-area sound vibration characteristic parameters into a fault condition database of the camera;
2) Collecting detection signals
When fault diagnosis is carried out on the diagnosed camera, the method comprises the following steps:
a) Collecting wide-area sound vibration signals of a diagnosed camera, and processing the collected wide-area sound vibration signals of the diagnosed camera to obtain test wide-area sound vibration characteristic parameters of the diagnosed camera;
b) Collecting an environmental signal and an electrical signal of a camera;
3) Detection signal processing
Processing the collected wide-area sound vibration signal of the diagnosed camera to obtain a test wide-area sound vibration characteristic parameter of the diagnosed camera;
4) Feedback of diagnostic results
Searching wide-area sound vibration characteristic parameters matched with the tested wide-area sound vibration characteristic parameters and corresponding fault types in the fault condition database of the camera, and feeding back a matched fault type diagnosis result;
5) Optimizing fault databases
If the wide-area sound vibration characteristic parameters matched with the test wide-area sound vibration characteristic parameters and the corresponding fault types are found in the step 4), the test wide-area sound vibration characteristic parameters of the diagnosed camera obtained in the diagnosis, the acquired environment signals and the electrical signals of the camera are stored in the camera fault working condition database.
Preferably, the wide-area sound vibration characteristic parameters of various fault conditions of the phase-change regulator collected in the step 1) comprise time domain characteristic parameters, frequency domain characteristic parameters, energy characteristic parameters and space characteristic parameters.
Preferably, the wide-area acoustic vibration signal of the diagnosed camera acquired in step 2) includes a vibration signal, an audible sound signal, and an ultrasonic signal; the collected electrical signals of the camera include a current signal, a voltage signal, and a power signal.
Preferably, the environmental signal acquired in step 2) comprises an environmental temperature signal or an environmental humidity signal.
Preferably, in step 2), the step of processing the acquired wide-area acoustic vibration signal of the diagnosed camera includes:
i) Performing wavelet transformation denoising on the collected wide-area sound vibration signal of the diagnosed camera;
II) carrying out signal processing on the signals processed in the step I) to obtain the test wide-area sound vibration characteristic parameters of the diagnosed camera.
More preferably, in step I), the acquired wide-area sound vibration signal of the diagnosed camera is subjected to wavelet transform denoising and then further subjected to voice enhancement processing.
Preferably, in step 4), if the wide-area sound vibration characteristic parameter matched with the test wide-area sound vibration characteristic parameter and the corresponding fault type are not found in the fault condition database of the camera, fault reporting information is fed back.
Correspondingly, the invention also provides a camera fault diagnosis system, which comprises:
the upper computer comprises a signal processing module and a storage module, wherein a fault working condition database of the camera is arranged in the storage module, and wide-area sound vibration characteristic parameters of various fault working conditions of the camera are stored in the fault working condition database of the camera;
the signal acquisition module is in communication connection with the upper computer and is used for acquiring wide-area sound vibration signals, environment signals and electrical signals of the diagnosed camera;
the signal processing module is used for processing the collected wide-area sound vibration signals of the diagnosed camera to obtain the tested wide-area sound vibration characteristic parameters of the diagnosed camera;
the signal processing module is also used for searching wide-area sound vibration characteristic parameters matched with the test wide-area sound vibration characteristic parameters and corresponding fault types in the fault working condition database of the camera, and feeding back the matched fault type diagnosis results through a display of the upper computer;
when the signal processing module finds the wide-area sound vibration characteristic parameter matched with the test wide-area sound vibration characteristic parameter and the corresponding fault type in the camera fault working condition database, the signal processing module is further used for storing the test wide-area sound vibration characteristic parameter of the diagnosed camera, acquired environmental signals and acquired electrical signals, obtained by the diagnosis, into the camera fault working condition database.
Correspondingly, the invention also provides an electronic terminal, which comprises: a processor and a memory;
the memory is used for storing a computer program; the processor is configured to execute the computer program stored in the memory, so that the terminal executes the fault diagnosis method for the camera according to the above technical solution or any one of the preferred technical solutions.
Correspondingly, the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the above technical solution or any of the preferred technical solutions thereof.
As described above, the method for diagnosing a malfunction of a camera according to the present invention has the following advantages: the invention discloses a fault diagnosis method of a camera, which collects wide-area sound vibration characteristic parameters of various fault working conditions of the camera, when the fault diagnosis is carried out on a diagnosed camera, the wide-area sound vibration characteristic parameters of the diagnosed camera are obtained by collecting wide-area sound vibration signals of the diagnosed camera, and the fault type diagnosis result of the camera can be obtained by searching wide-area sound vibration characteristic parameters matched with the tested wide-area sound vibration characteristic parameters and corresponding fault types in a fault working condition database of the camera. In addition, the camera fault diagnosis method also fuses and collects parameter information such as environmental signals, electrical signals of the camera and the like as the aid of camera wide-area sound vibration characteristic quantity diagnosis, so that the camera fault diagnosis is more accurate; and the test wide-area sound vibration characteristic parameters of the diagnosed camera, the collected environmental signals and the electrical signals of the camera are stored in the camera fault working condition database for providing basis for the subsequent fault diagnosis, so that the camera fault diagnosis method is more and more accurate.
Therefore, the camera fault diagnosis system, the electronic terminal and the storage medium have the beneficial effects and are not repeated here.
Drawings
FIG. 1 is a flow chart of a method for diagnosing faults of a camera of the present invention;
FIG. 2 is a schematic diagram of a wide-area acoustic vibration signal acquisition and denoising step according to the present invention;
FIG. 3 is a schematic block diagram of a camera fault diagnosis system according to the present invention;
fig. 4 is a schematic diagram of a diagnosis principle of a fault diagnosis system of a camera according to the present invention.
Description of element reference numerals
6-an upper computer; 61-a memory module; 62-a signal processing module; 7, a signal acquisition module; 8-a diagnosed camera.
Detailed Description
Further advantages and effects of the present invention will become apparent to those skilled in the art from the disclosure of the present invention, which is described by the following specific examples.
It should be understood that the structures, proportions, sizes, etc. shown in the drawings are for illustration purposes only and should not be construed as limiting the invention to the extent that it can be practiced, since modifications, changes in the proportions, or otherwise, used in the practice of the invention, are not intended to be critical to the essential characteristics of the invention, but are intended to fall within the spirit and scope of the invention.
Referring to fig. 1, the invention provides a fault diagnosis method for a camera, comprising the following diagnosis steps:
1) Establishing a fault database
Collecting wide-area sound vibration characteristic parameters of various fault conditions of the camera, and storing the wide-area sound vibration characteristic parameters into a fault condition database of the camera;
2) Collecting detection signals
When fault diagnosis is carried out on the diagnosed camera, the method comprises the following steps:
a) Collecting wide-area sound vibration signals of a diagnosed camera, and processing the collected wide-area sound vibration signals of the diagnosed camera to obtain test wide-area sound vibration characteristic parameters of the diagnosed camera;
b) Collecting an environmental signal and an electrical signal of a diagnosed camera;
3) Detection signal processing
Processing the collected wide-area sound vibration signal of the diagnosed camera to obtain a test wide-area sound vibration characteristic parameter of the diagnosed camera;
4) Feedback of diagnostic results
Searching wide-area sound vibration characteristic parameters matched with the tested wide-area sound vibration characteristic parameters and corresponding fault types in the fault condition database of the camera, and feeding back a matched fault type diagnosis result;
5) Optimizing fault databases
If the wide-area sound vibration characteristic parameters matched with the test wide-area sound vibration characteristic parameters and the corresponding fault types are found in the step 4), the test wide-area sound vibration characteristic parameters of the diagnosed camera obtained in the diagnosis, the collected environmental signals and the electrical signals of the diagnosed camera are stored in the camera fault working condition database.
In the fault diagnosis method of the camera, wide-area sound vibration characteristic parameters of various fault conditions of the camera are collected, when the fault diagnosis is carried out on the diagnosed camera, the fault type diagnosis result of the camera can be obtained by collecting wide-area sound vibration signals of the diagnosed camera and obtaining test wide-area sound vibration characteristic parameters of the diagnosed camera and searching wide-area sound vibration characteristic parameters matched with the test wide-area sound vibration characteristic parameters and corresponding fault types in a fault condition database of the camera. In addition, the invention also fuses and collects parameter information such as environmental signals, electrical signals of the diagnosed camera and the like as the auxiliary of the diagnosis of wide-area sound vibration characteristic quantity of the camera, so that the fault diagnosis of the camera is more accurate; and the wide-area sound vibration characteristic parameters, the collected environmental signals and the electrical signals of the diagnosed camera, which are obtained by each qualified fault diagnosis, are stored in the fault working condition database of the camera, so that a basis is provided for the subsequent fault diagnosis, and the fault diagnosis method of the camera is more accurate and more efficient through the collection and accumulation mode of the diagnosis data.
The invention relates to a fault diagnosis method of a camera, which is a fault diagnosis technology based on multi-parameter information fusion, and mainly realizes fault diagnosis through the following technologies: 1. extracting fault characteristics of wide-area sound vibration signals; 2. wide-area sound vibration characteristic parameter sensitivity analysis; 3. a multi-parameter information fusion diagnosis technology.
In order to achieve the extraction of the fault characteristics of the wide-area sound vibration signal, as a preferred embodiment, in step 2), the step of processing the acquired wide-area sound vibration signal of the diagnosed camera includes:
i) Performing wavelet transformation denoising on the collected wide-area sound vibration signal of the diagnosed camera;
II) carrying out signal processing on the signals processed in the step I) to obtain the test wide-area sound vibration characteristic parameters of the diagnosed camera.
The wavelet transformation (wavelet transform, WT) is a new transformation analysis method, can perform multi-scale refinement on signals (functions) step by step through expansion and translation operation in the localization analysis of time (space) frequency, finally achieves time subdivision at high frequency and frequency subdivision at low frequency, can automatically meet the requirement of time-frequency signal analysis, has good time-frequency localization characteristics, reserves wavelet coefficients mainly controlled by signals, discovers and removes the wavelet coefficients controlled by noise, and performs inverse transformation on the rest wavelet coefficients to obtain denoising signals.
The wide-area sound vibration characteristic parameter sensitivity analysis is also very important in a camera fault diagnosis method, which starts from multidimensional characteristics such as time domain, frequency domain and space domain of abnormal vibration/acoustic signals, and develops related fault diagnosis algorithm research to determine time domain, frequency domain and voice characteristic parameters of typical vibration defects, including amplitude, main frequency, vibration/sound source position, frequency spectrum energy duty ratio and the like. In a fault diagnosis method for a camera according to the present invention, as a preferred embodiment, the wide-area sound vibration characteristic parameters of various fault conditions of the camera collected in step 1) include a time domain characteristic parameter, a frequency domain characteristic parameter, an energy characteristic parameter and a spatial characteristic parameter. The time domain form of the sound vibration signal is to represent the change of the sound vibration signal along with time, and in the time domain analysis, the basic digital characteristics and the probability distribution characteristics are adopted to analyze respectively. The time domain characteristic parameters commonly used are: amplitude, effective value, peak factor, etc., the peak factor being the ratio of the peak value to the effective value, the parameter reflecting the shape characteristics of the sound signal waveform. Besides, kurtosis, pulse factors, waveform factors and the like can be used as time domain characteristic parameters, and the time domain characteristic parameters can clearly reflect the change trend of equipment sound signals, but are particularly easy to be interfered by noise signals, and the actual application background often contains a plurality of interference signals so as to mislead people to judge according to the time domain characteristic parameters. Therefore, the wide-area sound vibration characteristic parameters of various fault working conditions of the camera collected in the step 1) comprise various characteristic parameters such as time domain characteristic parameters, frequency domain characteristic parameters, energy characteristic parameters, space characteristic parameters and the like so as to more accurately reflect useful signals, thereby being convenient for accurately judging fault signals. The frequency domain analysis refers to converting a sound signal into a frequency domain, describing the signal by using frequency components, and through the frequency spectrum analysis of the signal, the invention discloses a fault diagnosis method of a camera, which is characterized in that frequency domain characteristic parameters are collected in the step 1), and a fault diagnosis system can diagnose information such as fault type, fault degree and the like of equipment.
As a preferred implementation mode, the wide-area sound vibration characteristic parameters of various fault conditions of the camera collected in the step 1) comprise voice characteristic parameters, the operation noise of the camera is usually 20Hz-20kHz, in the sound spectrum range which can be heard by human ears, and by referring to the successful use experience on voice recognition, the wide-area sound vibration characteristic parameters of various fault conditions of the camera collected in the step 1) are added with characteristic parameters such as Mel cepstrum coefficients and the like which are common in voice recognition, the method is mainly proposed according to the hearing perception mechanism of a person, can reflect the voice characteristics of the person, has no precondition, and has good robustness and recognition performance.
In a fault diagnosis method for a camera according to the present invention, as a preferred embodiment, the wide-area acoustic vibration signal of the diagnosed camera acquired in step 2) includes a vibration signal, an audible acoustic signal, and an ultrasonic signal; the collected electrical signals of the camera include a current signal, a voltage signal and a power signal. The collected wide-area sound vibration signals serve as main fault judging signals, the collected wide-area sound vibration signals are subjected to modulation processing to obtain test wide-area sound vibration characteristic parameters of a diagnosed camera, the test wide-area sound vibration characteristic parameters correspond to types of the wide-area sound vibration characteristic parameters of various fault conditions stored in a fault condition database of the camera, the wide-area sound vibration characteristic parameters of the fault conditions which are the same as or similar to the test wide-area sound vibration characteristic parameters are searched in the fault condition database of the camera, and faults corresponding to the wide-area sound vibration characteristic parameters of the fault conditions with high matching degree reflect fault conditions of the diagnosed camera. In order to make the reliability of the diagnosis result higher, environmental signals, electrical signals of a camera and the like can be introduced as auxiliary basis of fault diagnosis, and step 1) a fault database is established, parameters such as wide-area sound vibration characteristic parameters of various fault working conditions of the camera, the environmental signals during the fault working conditions, the electrical signals of the camera and the like are collected, and the parameters are stored in the camera fault working condition database; and 4) searching wide-area sound vibration characteristic parameters, environment signals, electric signals of the camera and corresponding fault types matched with the test wide-area sound vibration characteristic parameters, the environment signals and the electric signals of the camera in the fault working condition database of the camera, and feeding back the matched fault type diagnosis results. Therefore, the fault diagnosis is more accurate and reliable through the comparison and matching of the multi-parameter information. As a preferred embodiment, the environmental signal acquired in step 2) comprises an environmental temperature signal or an environmental humidity signal.
Referring to fig. 2, in the fault diagnosis method of a camera of the present invention, the collected signals of the wide area sound vibration signal in step 2) include vibration signals, audible sound signals and ultrasonic signals, the collected wide area sound vibration signals also need to be subjected to signal denoising, and noise can be removed by adopting a wavelet transform denoising mode. This can improve the recognition of the signal.
If the signal acquisition of the diagnosed camera is not accurate enough to cause signal distortion, or the fault condition data collected in the camera fault condition database is not comprehensive enough, when the fault diagnosis is carried out on the camera, the wide-area sound vibration characteristic parameters matched with the tested wide-area sound vibration characteristic parameters and the corresponding fault types cannot be found in the camera fault condition database, so that in step 4), if the wide-area sound vibration characteristic parameters matched with the tested wide-area sound vibration characteristic parameters and the corresponding fault types are not found in the camera fault condition database, the fault information is fed back, at the moment, the fault information should be manually processed by a detector, and if the collected wide-area sound vibration signal of the diagnosed camera is a new fault type, the detector can manually store the related information and the fault types of the collected wide-area sound vibration signal of the diagnosed camera into the camera fault condition database after confirming.
Correspondingly, the invention also provides a camera fault diagnosis system for implementing the above technical scheme or any preferable technical scheme thereof, please refer to fig. 3, and the camera fault diagnosis system provided by the invention comprises:
the upper computer 6 comprises a signal processing module 62 and a storage module 61, wherein a fault working condition database of the camera is arranged in the storage module 61, and wide-area sound vibration characteristic parameters of various fault working conditions of the camera are stored in the fault working condition database of the camera;
the signal acquisition module 7 is in communication connection with the upper computer 6, the signal acquisition module 7 is used for acquiring wide-area sound vibration signals of the diagnosed camera, and the signal acquisition module is also used for acquiring environmental signals and electrical signals of the camera;
the signal processing module 62 is configured to process the collected wide-area sound vibration signal of the diagnosed camera 8, and obtain a test wide-area sound vibration characteristic parameter of the diagnosed camera 8;
the signal processing module 62 is further configured to search a wide-area sound vibration characteristic parameter matched with the test wide-area sound vibration characteristic parameter and a corresponding fault type in the fault condition database of the camera, and feed back a matched fault type diagnosis result through a display of the upper computer 6;
when the signal processing module 62 finds the wide-area sound vibration characteristic parameter matched with the test wide-area sound vibration characteristic parameter and the corresponding fault type in the fault condition database of the camera, the signal processing module 62 is further configured to store the test wide-area sound vibration characteristic parameter of the diagnosed camera, the collected environmental signal and the electrical signal of the camera obtained by the current diagnosis into the fault condition database of the camera.
The present invention also provides a camera fault diagnosis system with various implementation manners, and those skilled in the art can implement a camera fault diagnosis system according to the technical solution of the present invention in combination with the prior art, which is not described in detail herein.
Correspondingly, the invention also provides an electronic terminal, which comprises: a processor and a memory;
the memory is used for storing a computer program; the processor is configured to execute the computer program stored in the memory, so that the terminal executes the fault diagnosis method for the camera according to the above technical solution or any one of the preferred technical solutions.
Correspondingly, the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the above technical solution or any of the preferred technical solutions thereof.
Referring to fig. 4, the fault diagnosis system for the camera of the present invention collects multi-source signals such as wide-area sound vibration signals, environment signals, and electrical signals of the camera as input, processes the collected wide-area sound vibration signals after denoising and modulating them into characteristic parameters which can be compared with various fault condition wide-area sound vibration characteristic parameters stored in a fault condition database of the camera, for example, processes such as single-frequency signals, frequency modulation signals, amplitude modulation signals, etc. can be performed on the wide-area sound vibration signals, and the fault diagnosis is more accurate and reliable by collecting electrical signals such as current signals, voltage signals, power signals, etc. of the camera as auxiliary references.
The invention relates to a camera fault diagnosis method, which is a multisource information fusion diagnosis technology, can acquire information data of a research object in multiple aspects, has more comprehensive and complementary information, can analyze results with higher reliability, is particularly aimed at the research of multisource information fusion fault diagnosis of power equipment, has multiple fusion diagnosis algorithms according to the characteristics of monitoring data of the power equipment, and considers typical large data characteristics of large volume, multiple types, quick growth and the like of multisource information of the camera equipment.
In summary, the fault diagnosis method, the diagnosis system, the electronic terminal and the storage medium for the camera can conveniently perform fault diagnosis on the camera, have high diagnosis efficiency and good accuracy, and can realize continuous self-training and optimization.
In summary, the present invention effectively overcomes the disadvantages of the prior art and has high industrial utility value.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. Accordingly, it is intended that all equivalent modifications and variations of the invention be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.
Claims (10)
1. A fault diagnosis method for a camera is characterized by comprising the following diagnosis steps:
1) Establishing a fault database
Collecting wide-area sound vibration characteristic parameters of various fault conditions of the camera, and storing the wide-area sound vibration characteristic parameters into a fault condition database of the camera;
2) Collecting detection signals
When fault diagnosis is carried out on the diagnosed camera, the method comprises the following steps:
a) Collecting wide-area sound vibration signals of a diagnosed camera, and processing the collected wide-area sound vibration signals of the diagnosed camera to obtain test wide-area sound vibration characteristic parameters of the diagnosed camera;
b) Collecting an environmental signal and an electrical signal of a diagnosed camera;
3) Detection signal processing
Processing the collected wide-area sound vibration signal of the diagnosed camera to obtain a test wide-area sound vibration characteristic parameter of the diagnosed camera;
4) Feedback of diagnostic results
Searching wide-area sound vibration characteristic parameters matched with the tested wide-area sound vibration characteristic parameters and corresponding fault types in the fault condition database of the camera, and feeding back a matched fault type diagnosis result;
5) Optimizing fault databases
If the wide-area sound vibration characteristic parameters matched with the test wide-area sound vibration characteristic parameters and the corresponding fault types are found in the step 4), the test wide-area sound vibration characteristic parameters of the diagnosed camera obtained in the diagnosis, the acquired environment signals and the electrical signals of the camera are stored in the camera fault working condition database.
2. The camera malfunction diagnosis method according to claim 1, wherein:
the wide-area sound vibration characteristic parameters of various fault conditions of the phase-change regulator collected in the step 1) comprise time domain characteristic parameters, frequency domain characteristic parameters, energy characteristic parameters and space characteristic parameters.
3. The camera malfunction diagnosis method according to claim 1, wherein:
the wide-area sound vibration signals of the diagnosed camera acquired in the step 2) comprise vibration signals, audible sound signals and ultrasonic signals; the collected electrical signals of the camera include a current signal, a voltage signal, and a power signal.
4. The camera malfunction diagnosis method according to claim 1, wherein:
the environmental signal collected in step 2) comprises an ambient temperature signal or an ambient humidity signal.
5. The camera malfunction diagnosis method according to claim 1, wherein:
in step 2), the step of processing the acquired wide-area sound vibration signal of the diagnosed camera includes:
i) Performing wavelet transformation denoising on the collected wide-area sound vibration signal of the diagnosed camera;
II) carrying out signal processing on the signals processed in the step I) to obtain the test wide-area sound vibration characteristic parameters of the diagnosed camera.
6. The camera malfunction diagnosis method according to claim 5, wherein:
in the step I), the collected wide-area sound vibration signal of the diagnosed camera is subjected to wavelet transformation denoising and then subjected to voice enhancement processing.
7. The camera malfunction diagnosis method according to claim 1, wherein:
in step 4), if the wide-area sound vibration characteristic parameters matched with the test wide-area sound vibration characteristic parameters and the corresponding fault types are not found in the fault working condition database of the camera, the fault information is fed back.
8. A camera fault diagnosis system, comprising:
the upper computer (6) comprises a signal processing module (62) and a storage module (61), wherein a fault working condition database of the camera is arranged in the storage module (61), and wide-area sound vibration characteristic parameters of various fault working conditions of the camera are stored in the fault working condition database of the camera;
the signal acquisition module (7) is in communication connection with the upper computer (6); the signal acquisition module (7) is used for acquiring wide-area sound vibration signals, environment signals and electrical signals of the diagnosed camera (8);
the signal processing module (62) is used for processing the acquired wide-area sound vibration signal of the diagnosed camera (8) to obtain a test wide-area sound vibration characteristic parameter of the diagnosed camera (8);
the signal processing module (62) is further used for searching wide-area sound vibration characteristic parameters matched with the test wide-area sound vibration characteristic parameters and corresponding fault types in the fault condition database of the camera, and feeding back the matched fault type diagnosis results through a display of the upper computer (6);
when the signal processing module (62) finds the wide-area sound vibration characteristic parameter matched with the test wide-area sound vibration characteristic parameter and the corresponding fault type in the camera fault working condition database, the signal processing module (62) is further used for storing the test wide-area sound vibration characteristic parameter of the diagnosed camera (8) obtained by the diagnosis, the acquired environmental signals and the acquired electrical signals into the camera fault working condition database.
9. An electronic terminal, comprising: a processor and a memory;
the memory is used for storing a computer program; the processor is configured to execute the computer program stored in the memory, so that the terminal performs the camera malfunction diagnosis method according to any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the camera malfunction diagnosis method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310501948.4A CN116662823A (en) | 2023-05-06 | 2023-05-06 | Camera fault diagnosis method, system, electronic terminal and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310501948.4A CN116662823A (en) | 2023-05-06 | 2023-05-06 | Camera fault diagnosis method, system, electronic terminal and storage medium |
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| Publication Number | Publication Date |
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| CN116662823A true CN116662823A (en) | 2023-08-29 |
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| CN202310501948.4A Pending CN116662823A (en) | 2023-05-06 | 2023-05-06 | Camera fault diagnosis method, system, electronic terminal and storage medium |
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| Country | Link |
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| CN (1) | CN116662823A (en) |
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- 2023-05-06 CN CN202310501948.4A patent/CN116662823A/en active Pending
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