Parallel arc detection device and method
By designing a parallel arc detection device in the substation equipment, using the combination of a pickup and an image acquisition equipment, timely detection and identification of parallel arcs is achieved, and the problem of inability to detect parallel arcs in the prior art is solved, and the safety of the equipment is improved.
Patent Information
- Application Number
- CN202411670306.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-21
- Publication Date
- 2025-03-07
AI Technical Summary
Existing substation equipment cannot detect parallel arcs in time, resulting in equipment burning and economic losses.
A parallel arc detection device is designed, including a sound pickup and an image acquisition device, and position abnormal positions through audio detection, and then perform multi-angle image acquisition, and use image recognition technology to determine whether there is a parallel arc.
Timely detection and identification of parallel arcs is realized, the safety of the equipment is improved, and equipment damage and economic losses are avoided.
Smart Images
Figure CN119575090A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of arc detection, and in particular relates to a parallel arc detection device and method. Background Art
[0002] Parallel arc is an abnormal discharge phenomenon in electrical systems where current flows through multiple parallel paths. It usually occurs in switchgear, circuit breakers, or unexpected paths formed by insulation damage. This arc not only causes energy loss, but also generates high temperature and high pressure, which can cause equipment damage, fire, or safety accidents. Parallel arcs are usually accompanied by obvious popping or hissing sounds, and are one of the key issues that need to be prevented in electrical systems.
[0003] In current substations, substation equipment can only rely on manual inspection, and the parallel arc generated by the equipment cannot be discovered in time, which often leads to equipment burning and causes serious economic losses. Summary of the invention
[0004] The purpose of the present invention is to provide a parallel arc detection device, which aims to solve the problem that in current substations, substation equipment can only rely on manual inspection and cannot promptly detect the parallel arc generated by the equipment, which often leads to equipment burning and causes serious economic losses.
[0005] The present invention is implemented as a parallel arc detection device, the device includes: a first mounting ring and a second mounting ring, the first mounting ring and the second mounting ring are connected by a guide rail, a slider is slidably arranged on the guide rail, a group of motors are fixedly arranged on the slider, a gear is installed on the output shaft of the motor, a rack is arranged on the guide rail, the gear and the rack are meshed, the slider is fixedly connected to an image acquisition device through a bracket, a pickup is fixedly arranged on the bracket, when in use, audio detection is performed through the pickup, the image acquisition device is controlled to move according to the audio detection result, image acquisition is performed through the image acquisition device, and whether a parallel arc is generated is determined based on the acquired image.
[0006] Preferably, the pickup includes a first pickup and a second pickup.
[0007] Preferably, the first mounting ring and the second mounting ring are connected to the guide rail via snap fasteners.
[0008] Another object of the present invention is to provide a parallel arc detection method, applied to the parallel arc detection device according to any one of claims 1 to 3, the method comprising:
[0009] Audio data is obtained by collecting audio through the first microphone and the second microphone;
[0010] Perform anomaly recognition based on the collected audio data to determine whether there are specific audio features;
[0011] When it is determined that there is a specific audio feature, the first microphone and the second microphone are moved based on the audio intensity to locate the abnormal position and obtain positioning information;
[0012] Based on the positioning information, the image acquisition device is controlled to acquire images from multiple angles, and abnormalities are identified on the acquired images to determine whether there is a parallel arc.
[0013] Preferably, the step of performing abnormality identification based on the collected audio data and determining whether there is a specific audio feature includes:
[0014] Retrieving the collected audio data, filtering the audio data, removing the audio information within a preset range, and obtaining preliminary screening data;
[0015] Perform feature extraction on the preliminary screening data based on a preset audio feature extraction method to obtain real-time audio features;
[0016] The real-time audio features are compared with the data in the preset audio feature database. If the overlap is greater than the preset value, it is determined that the specific audio features exist.
[0017] Preferably, when it is determined that there is a specific audio feature, the step of moving the first microphone and the second microphone based on the audio intensity to locate the abnormal position and obtain the positioning information specifically includes:
[0018] The first microphone and the second microphone are used to collect audio simultaneously, and the audio intensity is detected;
[0019] Determine the direction of the sound source by comparing the audio intensity collected by the first microphone and the second microphone;
[0020] The first microphone and the second microphone are controlled to move according to the position of the sound source, and the position of the sound source is determined according to the sound source positions obtained multiple times.
[0021] Preferably, the steps of controlling the image acquisition device to acquire images from multiple angles based on the positioning information, identifying abnormalities in the acquired images, and determining whether there is a parallel arc specifically include:
[0022] Based on the positioning information, the image acquisition device is controlled to acquire images from multiple angles to obtain arc detection images;
[0023] Performing image recognition on the arc detection image to extract the arc area image contained therein;
[0024] The arc area image is compared with the preset arc image. If the two coincide, it is determined that a parallel arc exists.
[0025] A parallel arc detection device provided by the present invention can locate an abnormal area by arranging a microphone, collect images of the abnormal area according to the positioning result, and then use image recognition technology to identify whether an arc occurs, thereby improving the safety of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] Figure 1 A schematic diagram of the structure of a parallel arc detection device provided by an embodiment of the present invention from a first viewing angle;
[0027] Figure 2 A schematic diagram of the structure of a parallel arc detection device provided by an embodiment of the present invention from a second viewing angle;
[0028] Figure 3 for Figure 2 A partial enlarged view of the middle A;
[0029] Figure 4 A flow chart of a parallel arc detection method provided by an embodiment of the present invention;
[0030] Figure 5 A flowchart of the steps of determining whether a specific audio feature exists provided by an embodiment of the present invention;
[0031] Figure 6 A flowchart of the steps of locating an abnormal position provided by an embodiment of the present invention;
[0032] Figure 7 A flowchart of the steps of determining whether a parallel arc exists is provided in an embodiment of the present invention.
[0033] In the attached drawings: 1. first mounting ring; 2. guide rail; 3. slider; 4. bracket; 5. first pickup; 6. second pickup; 7. image acquisition device; 8. motor; 9. gear; 10. second mounting ring. DETAILED DESCRIPTION
[0034] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.
[0035] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.
[0036] like Figure 1 , Figure 2 and Figure 3As shown, an embodiment of the present invention provides a parallel arc detection device, the device comprising: a first mounting ring 1 and a second mounting ring 10, the first mounting ring 1 and the second mounting ring 10 are connected by a guide rail 2, a slider 3 is slidably provided on the guide rail 2, a group of motors 8 are fixedly provided on the slider 3, a gear 9 is installed on the output shaft of the motor 8, a rack is provided on the guide rail 2, the gear 9 is meshed with the rack, the slider 3 is fixedly connected to an image acquisition device 7 through a bracket 4, a pickup is fixedly provided on the bracket 4, when in use, audio detection is performed through the pickup, the image acquisition device 7 is controlled to move according to the audio detection result, image acquisition is performed through the image acquisition device 7, and whether a parallel arc is generated is determined according to the acquired image.
[0037] In the embodiment of the present invention, when in use, the first mounting ring 1 and the second mounting ring 10 are respectively fixed on the electric pole on the transformer. At this time, the guide rail 2 is located above the transformer. During the detection process, the microphone is used to continuously collect audio. This is because when an arc occurs, it is usually accompanied by sounds such as explosions. By performing audio recognition, it is possible to detect whether there is a possibility of an arc. When it is determined that there is a possibility of an arc, the motor 8 is started, and the motor 8 is used to drive the gear 9 to rotate. The gear 9 engages with the rack and drives the slider 3 to slide along the guide rail 2. During the movement of the slider 3, the image acquisition device 7 will move accordingly, thereby realizing the inspection of the transformer and further detecting whether an arc is generated. If a parallel arc is generated, a warning message is sent.
[0038] like Figure 1 As shown, as a preferred embodiment of the present invention, the pickup includes a first pickup 5 and a second pickup 6.
[0039] like Figure 1 As shown, as a preferred embodiment of the present invention, the first mounting ring 1 and the second mounting ring 10 are connected to the guide rail 2 by snap-fitting.
[0040] like Figure 4 As shown, a parallel arc detection method provided by an embodiment of the present invention is applied to the parallel arc detection device as described above, and the method includes:
[0041] S100, collecting audio through the first microphone 5 and the second microphone 6 to obtain audio data.
[0042] In this embodiment, audio is collected by the first microphone 5 and the second microphone 6. During operation, the first microphone 5 and the second microphone 6 may work in turn, or a single microphone may work, thereby obtaining audio data.
[0043] S200, performing abnormality identification based on the collected audio data to determine whether there are specific audio features.
[0044] In this step, anomalies are identified based on the collected audio data. For an arc, when an arc occurs, a series of physical phenomena will occur during the arc discharge, such as popping, hissing, humming and high-frequency noise. The presence of these sounds can help identify the location of the arc discharge, especially in the maintenance and inspection process of electrical equipment. The collected audio data is retrieved, the audio data is filtered, and the audio information within a preset range is removed to obtain preliminary screening data. The preliminary screening data is feature extracted based on a preset audio feature extraction method to obtain real-time audio features. In this process, the preliminary screening data is preprocessed, including denoising (removing background noise) and gain adjustment (ensuring that the signal amplitude is moderate) to improve the signal-to-noise ratio, convert the time domain signal to the frequency domain, and use the fast Fourier transform (FFT) to obtain the spectrum of the signal. Filtering: Apply a bandpass filter (Bandpass Filter) is used to isolate the specific frequency range generated by the parallel arc. Arc discharge usually produces higher frequency sounds, so the passband of the filter is concentrated in the range of hundreds of hertz to several thousand hertz. The bandpass filter can effectively remove irrelevant low-frequency and high-frequency noise and retain the typical audio features generated by arc discharge. Feature extraction: Extract feature parameters such as peak frequency, spectrum width, energy distribution, etc. from the filtered signal. These features can help distinguish arc sounds from other types of noise, obtain real-time audio features, and compare the real-time audio features with the data in the preset audio feature database. If the overlap is greater than the preset value, it is determined that a specific audio feature exists.
[0045] S300, when it is determined that there is a specific audio feature, the first microphone 5 and the second microphone 6 are moved based on the audio intensity to locate the abnormal position and obtain positioning information.
[0046] In this step, when it is determined that there is a specific audio feature, the first microphone 5 and the second microphone 6 are started at the same time, and audio collection is performed synchronously by the two sets of microphones to determine the source of the sound source containing the specific audio feature. By using the principle of binaural effect, the first microphone 5 and the second microphone 6 can determine the direction of the sound source, and then move the positions of the first microphone 5 and the second microphone 6 to locate the sound source again, so as to determine the position of the sound source according to the intersection position of the two sets of sound source directions and obtain positioning information.
[0047] S400, based on the positioning information, the image acquisition device 7 is controlled to acquire images from multiple angles, anomalies are identified on the acquired images, and whether a parallel arc exists is determined.
[0048] In this step, the image acquisition device 7 is controlled to acquire images from multiple angles based on the positioning information. After the sound source position is determined, the image acquisition device 7 is controlled to move from one end to the other end on the guide rail 2. During this process, each time the image acquisition device 7 moves, a group of photos are taken toward the position of the sound source to obtain a series of photos, namely, arc detection images. Image recognition is performed on the arc detection images to extract the arc area images contained therein. The image is converted into grayscale and the noise is removed by using a median filter. The arc features are then enhanced and binarized by using histogram equalization and adaptive thresholding to distinguish the arc from the background. Opening and closing operations are then applied to remove small noise points and fill small holes in the target object. The Canny edge detection algorithm is used to identify the boundary of the arc area. The highlight area is segmented by connected component analysis. The arc area is further confirmed based on features such as area and perimeter. Finally, the detected arc position is marked in the original image to complete visualization. The extracted arc area image is overlapped with the preset arc image to determine the presence of a parallel arc.
[0049] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A parallel arc detection device, characterized in that: The device comprises: a first mounting ring (1) and a second mounting ring (10), the first mounting ring (1) and the second mounting ring (10) being connected via a guide rail (2), a slider (3) being slidably arranged on the guide rail (2), a group of motors (8) being fixedly arranged on the slider (3), a gear (9) being installed on the output shaft of the motor (8), a rack being arranged on the guide rail (2), the gear (9) being meshed with the rack, the slider (3) being fixedly connected to an image acquisition device (7) via a bracket (4), a pickup being fixedly arranged on the bracket (4), and when in use, audio detection is performed via the pickup, the image acquisition device (7) is controlled to move according to the audio detection result, image acquisition is performed via the image acquisition device (7), and it is determined whether a parallel arc is generated according to the acquired image.
2. The parallel arc detection device according to claim 1, characterized in that: The pickup comprises a first pickup (5) and a second pickup (6).
3. The parallel arc detection device according to claim 1, characterized in that: The first mounting ring (1) and the second mounting ring (10) are connected to the guide rail (2) via buckles.
4. A parallel arc detection method, characterized in that: Applied to the parallel arc detection device according to any one of claims 1 to 3, the method comprises: Audio data is obtained by collecting audio through the first microphone (5) and the second microphone (6); Perform anomaly recognition based on the collected audio data to determine whether there are specific audio features; When it is determined that a specific audio feature exists, the first microphone (5) and the second microphone (6) are moved based on the audio intensity to locate the abnormal position and obtain positioning information; Based on the positioning information, an image acquisition device (7) is controlled to acquire images from multiple angles, and abnormalities are identified on the acquired images to determine whether a parallel arc exists.
5. The parallel arc detection method according to claim 4, characterized in that: The steps of performing abnormality recognition based on the collected audio data and determining whether there are specific audio features include: Retrieving the collected audio data, filtering the audio data, removing the audio information within a preset range, and obtaining preliminary screening data; Perform feature extraction on the preliminary screening data based on a preset audio feature extraction method to obtain real-time audio features; The real-time audio features are compared with the data in the preset audio feature database. If the overlap is greater than the preset value, it is determined that the specific audio features exist.
6. The parallel arc detection method according to claim 4, characterized in that: When it is determined that a specific audio feature exists, the first microphone (5) and the second microphone (6) are moved based on the audio intensity to locate the abnormal position and obtain the positioning information, which specifically includes: Audio is collected simultaneously by the first microphone (5) and the second microphone (6) to detect the audio intensity; Determine the direction of the sound source by comparing the audio intensity collected by the first microphone (5) and the second microphone (6); The first microphone (5) and the second microphone (6) are controlled to move according to the orientation of the sound source, and the position of the sound source is determined according to the sound source orientations obtained multiple times.
7. The parallel arc detection method according to claim 4, characterized in that: The steps of controlling an image acquisition device (7) to acquire images from multiple angles based on the positioning information, identifying abnormalities in the acquired images, and determining whether a parallel arc exists specifically include: Based on the positioning information, an image acquisition device (7) is controlled to acquire images from multiple angles to obtain arc detection images; Performing image recognition on the arc detection image to extract the arc area image contained therein; The arc area image is compared with the preset arc image. If the two coincide, it is determined that a parallel arc exists.