A combined acoustic vibration and infrared spectrum on-line detection device and method for a reactor

Abstract

The present disclosure relates to the technical field of detection devices, and provides a shunt reactor acoustic vibration and infrared spectrum combined live detection device and method, which comprises a signal detection module and a control module; the detection sensor of the signal detection module comprises at least an optical signal acquisition device and an acoustic signal acquisition device, the optical signal acquisition device comprises a visible light acquisition device and an infrared temperature measuring device; the control module is configured to perform fusion analysis on the collected infrared spectrum and sound vibration spectrum, superimpose the obtained visible light photo, infrared spectrum and sound vibration spectrum to generate a sound-thermal color map, and identify the operating state of the shunt reactor according to the thermal color map. The device of the present disclosure can realize the simultaneous detection of the sound-temperature two state information of the shunt reactor, perform fusion processing, reduce the inspection workload of the operation and maintenance personnel, and improve the timeliness and accuracy of the defect identification of the oil-immersed shunt reactor.

Description

Technical Field

[0001] This disclosure relates to the technical field of detection devices, specifically to a device and method for combined acoustic vibration and infrared spectroscopy detection of reactors. Background Technology

[0002] The statements in this section are merely background information relating to this disclosure and do not necessarily constitute prior art.

[0003] High-power, long-distance power transmission makes the capacitance effect of transmission lines very significant, leading to a more pronounced increase in power frequency voltage and corresponding transient overvoltage problems. Oil-immersed shunt reactors are one of the most important reactive power compensation devices for addressing this issue. The core structure of oil-immersed shunt reactors often employs a multi-air-gap structure composed of multiple stacked core discs, resulting in significant vibration even under normal operating conditions, exacerbating vibration and noise problems. Therefore, effective vibration signal detection has always been a crucial aspect of condition monitoring for oil-immersed shunt reactors.

[0004] Acoustic imaging technology is based on acoustic sensor array measurement technology. By measuring the phase difference of sound waves arriving at each sensor within a certain space, it can display the spatial distribution of sound sources in an image, where the color and brightness of the image represent the intensity of the sound. Infrared detection technology detects the difference in infrared radiation between a target object and the background, thereby obtaining infrared images formed by different thermal infrared radiation, and ultimately determining the temperature of the target object.

[0005] The inventors discovered in their research that the aforementioned acoustic imaging and infrared detection technologies, with their unique advantages such as non-contact operation, rapid implementation, intuitive visualization, high accuracy, and wide applicability, have been gradually promoted and applied in the electrical field. However, there is currently no effective method for integrating the two detection methods or a combined detection instrument. When detecting oil-immersed shunt reactors, independent detection devices are used separately, and the detection results cannot be automatically correlated and analyzed. This greatly increases the workload of operation and maintenance personnel and is also not conducive to the timely detection and analysis of defects in oil-immersed shunt reactors. Summary of the Invention

[0006] To address the aforementioned issues, this disclosure proposes a combined acoustic vibration and infrared spectroscopy detection device and method for reactors, which enables simultaneous detection of both acoustic and temperature status information of parallel reactors. This reduces the workload of maintenance personnel during inspections and improves the timeliness and accuracy of defect identification in oil-immersed parallel reactors.

[0007] To achieve the above objectives, the present disclosure adopts the following technical solution:

[0008] One or more embodiments provide a reactor acoustic vibration and infrared spectroscopy combined charged detection device, including: a signal detection module and a control module;

[0009] The detection sensors of the signal detection module include at least an optical signal acquisition device and an acoustic signal acquisition device. The optical signal acquisition device includes a visible light acquisition device and an infrared temperature measurement device.

[0010] The control module is configured to perform fusion analysis on the acquired infrared spectrum and acoustic vibration spectrum, and to overlay the acquired visible light photograph, infrared spectrum and acoustic vibration spectrum to generate an acoustic-thermal color map, and to identify the operating status of the parallel reactor based on the thermal color map.

[0011] One or more embodiments provide a method for combined acoustic vibration and infrared spectroscopy-based charge detection of a reactor, comprising the following steps:

[0012] The acquired visible light spectrum is divided and then processed into grayscale.

[0013] Using the visible light spectrum as a reference, the infrared spectrum is identified by boundary and feature point correspondence, and the infrared spectrum is placed on the visible light captured image for registration according to the position points.

[0014] Based on the visible light spectrum, the boundary and feature points of the sound vibration spectrum are identified, and the location points are registered with the visible light captured image. The color representation of sound vibration intensity is consistent with the main color of infrared intensity.

[0015] The grayscale visible light photograph, along with the registered infrared spectrum and sound vibration spectrum, are superimposed to generate a sound-thermal color map.

[0016] Compared with the prior art, the beneficial effects of this disclosure are as follows:

[0017] In this disclosure, infrared temperature signals and sound signals are integrated into one device, and the infrared spectrum corresponding to the infrared temperature signal and the sound vibration spectrum are fused together to achieve correlation analysis of the two types of signals, resulting in an intuitive sound-thermal color map, which can realize the rapid detection of the operating status of the reactor or various parts.

[0018] The advantages of this disclosure, as well as its additional advantages, will be described in detail in the following specific embodiments. Attached Figure Description

[0019] The accompanying drawings, which form part of this disclosure, are used to provide a further understanding of this disclosure. The illustrative embodiments of this disclosure and their descriptions are used to explain this disclosure and do not constitute a limitation thereof.

[0020] Figure 1This is a block diagram of the combined charged detection device according to Embodiment 1 of this disclosure;

[0021] Figure 2 This is a flowchart of the combined charged detection method of Embodiment 1 of this disclosure. Detailed Implementation

[0022] The present disclosure will be further described below with reference to the accompanying drawings and embodiments.

[0023] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of this disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains.

[0024] It should be noted that the terminology used herein is for descriptive purposes only and is not intended to limit the exemplary embodiments according to this disclosure. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof. It should be noted that, without conflict, the various embodiments and features within those embodiments can be combined with each other. The embodiments will now be described in detail with reference to the accompanying drawings.

[0025] Example 1

[0026] In one or more of the technical solutions disclosed in the embodiments, such as Figure 1 As shown, a reactor acoustic vibration and infrared spectroscopy combined charged detection device includes: a signal detection module and a control module;

[0027] The detection sensors of the signal detection module include at least an optical signal acquisition device and an acoustic signal acquisition device. The optical signal acquisition device includes a visible light acquisition device and an infrared temperature measurement device.

[0028] The control module is configured to perform fusion analysis on the acquired infrared spectrum and acoustic vibration spectrum, and to overlay the acquired visible light photograph, infrared spectrum and acoustic vibration spectrum to generate an acoustic-thermal color map, and to identify the operating status of the parallel reactor based on the thermal color map.

[0029] In this embodiment, infrared temperature signals and sound signals are integrated into one device. At the same time, the infrared spectrum corresponding to the infrared temperature signal and the sound vibration spectrum are fused to achieve correlation analysis of the two types of signals and obtain an intuitive sound-thermal color map, which can realize the rapid detection of the operating status of the reactor or various parts.

[0030] In some embodiments, the acoustic signal acquisition device may employ a multi-channel microphone; the function of the multi-channel microphone is to acquire the abnormal noise source of the oil-immersed parallel reactor.

[0031] Furthermore, vibration characteristic data of different types of oil-immersed parallel reactors can be collected, and the aperture, number, arrangement, and detection sensitivity of the multi-channel microphone array can be set according to the vibration frequency and ranging distance.

[0032] Optionally, the multi-channel microphones can be arranged in a single spiral array on the oil-immersed parallel reactor, and the settings of the multi-channel microphones can be optimized by calculating and verifying the response of the single spiral array arrangement.

[0033] In some embodiments, the infrared temperature measuring device is an infrared sensing probe that acquires the temperature signal of the oil-immersed parallel reactor.

[0034] Furthermore, based on the collection of hotspot distribution, defect-prone locations, and fine structural data of different types of oil-immersed parallel reactors, the influence of infrared sensor probe measurement distance and measurement field of view on signal strength was obtained. Infrared sensor probes were then embedded in a multi-channel microphone array sensor and arranged at intervals in a dotted manner.

[0035] In some embodiments, the visible light acquisition device is a visible light camera, and the function of the visible light camera is to acquire the appearance information of the oil-immersed parallel reactor.

[0036] Furthermore, by collecting the external dimensions and component composition of different models of oil-immersed parallel reactors and integrating visible light images of the reactors captured by a zoom-in visible light camera, the data can be used as a basis for infrared spectra and vibration location determination.

[0037] Furthermore, the detection sensor of the signal detection module also includes a spectrum analyzer, which is connected to the acoustic signal acquisition device;

[0038] The spectrum analyzer performs frequency domain analysis on the signals received by the multi-channel microphone of the acoustic signal acquisition device, extracts the acoustic characteristic vibration signals, and distinguishes the interference of vibration of conventional components such as reactor heat sinks on the test results.

[0039] In some feasible implementations, the detection sensor also includes a sound level meter. The sound level of the audible sound from the oil-immersed parallel reactor is acquired, and the sound level information acquired by the sound level meter is compared and analyzed with the information from the multi-channel microphone to determine certain sources of interference.

[0040] In some embodiments, the signal detection module further includes a data filtering amplification and digital-to-analog conversion device, and a sampling chip, with the detection sensor, filtering amplification and sampling chip connected in sequence.

[0041] Filtering, amplification, and digital-to-analog conversion devices are used to enhance acoustic and thermal signals and convert and transmit signals. Filtering, amplification, and digital-to-analog conversion devices with matching performance can be selected based on the signal acquisition characteristics of multi-channel microphones and infrared sensor fusion hardware.

[0042] The sampling chip is used to perform periodic sampling analysis of the detection signal. It can select a suitable sampling chip based on the signal acquisition characteristics of the multi-channel microphone and infrared sensor fusion hardware to perform periodic sampling analysis of the detection signal and transmit the data to the control module.

[0043] In some embodiments, the control module includes a main control unit, a signal conditioning unit, a signal storage module, and a data transmission unit.

[0044] Optionally, the main control unit includes a terminal processor and its peripheral circuits. The peripheral circuits include a power supply, a Joint Test Group (JTAG), an internal clock, an external clock, and a reset function block, which together complete the transmission control, local processing, and reset functions of the signals acquired by the signal detection module.

[0045] The control module is configured to perform fusion analysis on the acquired infrared spectrum and acoustic vibration spectrum. A sound and thermal signal fusion program can be written into the main control unit. The fusion analysis steps are as follows:

[0046] A. Divide the acquired visible light spectrum and perform grayscale processing; this can be done by meshing.

[0047] Specifically, the images captured by the visible light camera can be divided into 6400 equal parts and then processed into grayscale.

[0048] B. Using the visible light spectrum as a reference, the infrared spectrum is identified by boundary and feature point correspondence. The infrared spectrum is then placed on the visible light image for registration according to the location points. Areas without corresponding boundaries are replaced by the corresponding areas on the visible light spectrum.

[0049] C. Based on the visible light spectrum, the boundary and feature points of the sound vibration spectrum are identified, and the location points are registered with the visible light captured images. The vibration intensity color is then matched with the main color of the infrared intensity.

[0050] In this embodiment, both the sound signal and the infrared temperature signal are detected by sensors arrayed on the outer wall of the parallel reactor. The signals at the corresponding locations can be added to the image captured by visible light to achieve data fusion.

[0051] D. Overlay the grayscale visible light photograph, the registered infrared spectrum, and the sound vibration spectrum to generate a sound-thermal color map.

[0052] Furthermore, before the superposition process, the transparency of the infrared spectrum and the sound vibration spectrum is set. The transparency can be set to 50% for both. After superposition, a new sound-thermal color map is formed.

[0053] The signal conditioning unit conditions the original sound vibration spectrum signal, infrared spectrum signal, and visible light spectrum signal, and transmits the conditioned data to the signal storage unit and server module through the data transmission unit.

[0054] In response to the characteristics of data acquisition by oil-immersed parallel reactors, the signal is amplified again by an internal amplification circuit before being transmitted to the signal storage unit and server module via the data transmission unit.

[0055] The signal storage unit can include FLASH and RAM, and can be connected to the signal conditioning unit via a bus to complete the local storage of the detected signal. Data can be retrieved at any time when the detection instrument needs to access it locally. The PCB board of the signal storage unit can adopt a double-layer design to improve data storage and retrieval speed.

[0056] The data transmission unit may include data interfaces, general-purpose I / O, and bus devices, which are used to receive data from the signal detection module and realize data transmission and exchange between the main control unit, the signal conditioning unit, and the signal storage unit.

[0057] Further technical solutions also include a server module, which comprises a data transmission module, a server, and a database connected in sequence.

[0058] The data transmission module, including a standard data interface and I / O components, enables data to be transferred from the control module to the server module. For oil-immersed parallel reactors, it also supports wireless long-distance transmission.

[0059] The server includes server hardware and cloud storage servers, enabling dual backup storage of detection data.

[0060] The database is configured to acquire existing acoustic vibration spectra and infrared spectra from routine inspections and defect faults as basic sample data. These data are then processed by the acoustic-thermal colorimetric mapping in the terminal processor to establish the basic database. Furthermore, for vibration-infrared fusion detection data of oil-immersed parallel reactors, the database automatically adds samples, intelligently identifies normal and defective spectra, and establishes a self-updating, self-learning, and self-optimizing detection database for oil-immersed parallel reactors.

[0061] Among them, the criteria for identifying defect patterns after acoustic-thermal fusion can include:

[0062] E1. Identify the fused acoustic-thermal color map. Areas where the maximum brightness exceeds 50% of the average maximum value of the base sample data map are considered defective areas.

[0063] E2. A horizontal comparison is made of the acoustic-thermal color map brightness of the three-phase reactors A, B, and C after fusion. The corresponding phase reactor that exceeds the brightness of other phase reactors by more than 20% is a defective reactor.

[0064] E3. Areas where the maximum brightness of the fused image of a single reactor at the same location exceeds the historical value by more than 20% are considered defective areas.

[0065] After completing the processing and assembly of the three main modules of the combined live-line detection device, the components are assembled, debugged, and installed in the external chassis. The materials for the external chassis are selected to take into account the interference of external environmental noise on the internal sensing devices and circuits, and the shape design conforms to ergonomics, making it convenient for staff to use and carry.

[0066] Example 2

[0067] Based on Example 1, this example provides a method for combined acoustic vibration and infrared spectroscopy detection of a reactor, such as... Figure 2 As shown, it includes the following steps:

[0068] A. Divide the acquired visible light spectrum and perform grayscale processing; grid division can be used.

[0069] Specifically, the images captured by the visible light camera can be divided into 6400 equal parts and then processed into grayscale.

[0070] B. Using the visible light spectrum as a reference, the infrared spectrum is identified by boundary and feature point correspondence. The infrared spectrum is then placed on the visible light image for registration according to the location points. Areas without corresponding boundaries are replaced by the corresponding areas on the visible light spectrum.

[0071] C. Based on the visible light spectrum, the boundary and feature points of the sound vibration spectrum are identified, and the location points are registered with the visible light captured image. The color representation of the sound vibration intensity is consistent with the main color of the infrared intensity.

[0072] In this embodiment, both the sound signal and the infrared temperature signal are detected by sensors arrayed on the outer wall of the parallel reactor. The signals at the corresponding locations can be added to the image captured by visible light to achieve data fusion.

[0073] D. Overlay the grayscale visible light photograph, the registered infrared spectrum, and the sound vibration spectrum to generate a sound-thermal color map.

[0074] Furthermore, before the superposition process, the transparency of the infrared spectrum and the sound vibration spectrum is set. The transparency can be set to 50% for both. After superposition, a new sound-thermal color map is formed.

[0075] Among them, the criteria for identifying defect patterns after acoustic-thermal fusion can include:

[0076] E1. Identify the fused acoustic-thermal color map. Areas where the maximum brightness exceeds 50% of the average maximum value of the base sample data map are considered defective areas.

[0077] E2. A horizontal comparison is made of the acoustic-thermal color map brightness of the three-phase reactors A, B, and C after fusion. The corresponding phase reactor that exceeds the brightness of other phase reactors by more than 20% is a defective reactor.

[0078] E3. Areas where the maximum brightness of the fused image of a single reactor at the same location exceeds the historical value by more than 20% are considered defective areas.

[0079] In this embodiment, the infrared spectrum corresponding to the infrared temperature signal and the sound vibration spectrum are fused to achieve correlation analysis of the two types of signals and obtain an intuitive sound-thermal color map, which can realize the rapid detection of the operating status of the reactor or various parts.

[0080] The above description is merely a preferred embodiment of this disclosure and is not intended to limit this disclosure. Various modifications and variations can be made to this disclosure by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

[0081] While the specific embodiments of this disclosure have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of this disclosure. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of this disclosure are still within the scope of protection of this disclosure.

Claims

1. A device for combined acoustic vibration and infrared spectroscopy detection of a reactor, characterized in that, include: Signal detection module and control module; The detection sensors of the signal detection module include at least an optical signal acquisition device and an acoustic signal acquisition device. The optical signal acquisition device includes a visible light acquisition device and an infrared temperature measurement device. The control module is configured to perform fusion analysis on the acquired infrared spectrum and acoustic vibration spectrum, and to overlay the acquired visible light photograph, infrared spectrum and acoustic vibration spectrum to generate an acoustic-thermal color map, and to identify the operating status of the parallel reactor based on the thermal color map; The steps of fusion analysis are as follows: The acquired visible light spectrum is divided and then processed into grayscale. Using the visible light spectrum as a reference, the infrared spectrum is identified by boundary and feature point correspondence, and the infrared spectrum is placed on the visible light captured image for registration according to the position points. Based on the visible light spectrum, the boundary and feature points of the sound vibration spectrum are identified, and the location points are registered with the visible light captured images. The color representation of vibration intensity is consistent with the main color of infrared intensity. The grayscale visible light image, along with the registered infrared spectrum and sound vibration spectrum, are superimposed to generate a sound-thermal color map. Before overlay processing, set the transparency of the infrared spectrum and the acoustic vibration spectrum.

2. The reactor acoustic vibration and infrared spectroscopy combined charged detection device as described in claim 1, characterized in that: Before overlay processing, set the transparency of the infrared spectrum and the acoustic vibration spectrum.

3. The reactor acoustic vibration and infrared spectroscopy combined charged detection device as described in claim 1, characterized in that: The control module includes a main control unit, a signal conditioning unit, a signal storage module, and a data transmission unit; Alternatively, the live-line detection device may also include a server module, which includes a data transmission module, a server, and a database connected in sequence.

4. The reactor acoustic vibration and infrared spectroscopy combined charged detection device as described in claim 1, characterized in that: The acoustic signal acquisition device uses a multi-channel microphone, which is arranged in a single spiral array on an oil-immersed parallel reactor.

5. The reactor acoustic vibration and infrared spectroscopy combined charged detection device as described in claim 4, characterized in that: The infrared temperature measurement device is an infrared sensing probe, which is embedded in a multi-channel microphone array sensor.

6. The reactor acoustic vibration and infrared spectroscopy combined charged detection device as described in claim 1, characterized in that: The visible light acquisition device is a visible light camera, used to collect the appearance, size and component composition of different types of oil-immersed parallel reactors, and to fuse the visible light images of the reactors captured by the zoom visible light camera as the basis for infrared spectrum and vibration position determination. The signal detection module also includes a spectrum analyzer, which is connected to the acoustic signal acquisition device.

7. A method for combined acoustic vibration and infrared spectroscopy detection of a reactor, characterized in that, Includes the following steps: The acquired visible light spectrum is divided and then processed into grayscale. Using the visible light spectrum as a reference, the infrared spectrum is identified by boundary and feature point correspondence, and the infrared spectrum is placed on the visible light captured image for registration according to the position points. Based on the visible light spectrum, the boundary and feature points of the sound vibration spectrum are identified, and the location points are registered with the visible light captured image. The color representation of sound vibration intensity is consistent with the main color of infrared intensity. The grayscale visible light photograph, along with the registered infrared spectrum and sound vibration spectrum, are superimposed to generate a sound-thermal color map.

8. The method for combined acoustic vibration and infrared spectroscopy detection of a reactor as described in claim 7, characterized in that: Before overlay processing, set the transparency of the infrared spectrum and the acoustic vibration spectrum.

9. The method for combined acoustic vibration and infrared spectroscopy detection of a reactor as described in claim 7, characterized in that: For defect pattern identification after acoustic-thermal fusion, the discrimination criteria include: The fused acoustic-thermal color map is identified, and areas where the maximum brightness exceeds 50% of the average maximum value of the base sample data map are identified as defect areas. A horizontal comparison of the acoustic-thermal colorimetric brightness of the three-phase reactors A, B, and C after fusion was performed. The corresponding phase reactor that exceeded the brightness of the other phase reactors by more than 20% was a defective reactor. Areas where the maximum brightness of the fused image of a single reactor at the same location exceeds the historical value by more than 20% are considered defective areas.

Images