CN-122017012-A - Detection device and method for distinguishing authenticity of power plant metallography

CN122017012ACN 122017012 ACN122017012 ACN 122017012ACN-122017012-A

Abstract

The invention provides a detection device and a detection method for distinguishing the authenticity of a power plant metallography, which belong to the technical field of material detection, and can at least partially solve the problems that the existing comparison result is highly dependent on the integrity of a database, the slight editing sensitivity of an algorithm to a photo is low, dynamic characteristics are ignored only based on static visual characteristics, an active verification mechanism is lacked, and the high safety requirement of the power plant under a complex environment is difficult to adapt, and the detection device comprises the following components: the device comprises a sample positioning platform, a resonant cavity module, an electrochemical microprobe module, an optical polarization modulation module and a signal processor, and has the beneficial effects that: the device is provided with a resonant cavity module, an electrochemical microprobe module and an optical polarization modulation module, breaks through the limitation of single visual comparison through multi-mode cooperation, actively generates vibration, electrochemistry and optical signatures, and enhances the anti-counterfeiting capability; the device does not need to rely on a huge database, and is suitable for the complex environment of an electric power plant; the modules cooperate to form a closed loop authentication mechanism.

Inventors

HU BOYAO
ZHAO LUN
CHENG JUN
QIN CHENGPENG
WANG ZHIQIANG
LI LIANG
WANG FUGUI
LI DONGJIANG
WANG QIANG
XU XIONGFEI
CHEN ZHENG

Assignees

西安热工研究院有限公司

Dates

Publication Date: 20260512
Application Date: 20260105

Claims (10)

1. A detection device for distinguishing metallography true and false of power plant, characterized by comprising: the upper surface of the sample positioning platform is integrated with a plurality of groups of miniature clamps; The resonant cavity module is fixed above the sample positioning platform through a bracket and comprises a plurality of surface acoustic wave sensor arrays for generating vibration signatures through low-frequency sound wave excitation in the working process; An electrochemical microprojection module that is imbedded in the upper surface of the sample positioning platform and includes a plurality of micron-sized probes for applying a potential gradient and capturing an electrochemical response during operation; An optical polarization modulation module fixed to a side of the holder and including a wave laser diode and a photodetector for applying polarized light and recording a change in polarized light scattering during operation, and And the signal processor is electrically connected with the resonant cavity module, the electrochemical microprobe module and the optical polarization modulation module.
2. The detection device for distinguishing true and false of power plant metallography according to claim 1, wherein the sample positioning platform is a stainless steel platform, and the lower end is provided with an anti-slip pad.
3. The apparatus according to claim 1, wherein the surface acoustic wave sensor array includes a plurality of surface acoustic wave sensor units each having a piezoelectric ceramic element as a sensitive substrate.
4. The detection device for distinguishing true and false metallographic phases of a power plant according to claim 1, wherein the micrometer-scale probe is a titanium alloy probe.
5. The detection device for distinguishing true and false of power plant metallography according to claim 1, wherein the signal processor is an embedded computer based on ARM architecture.
6. The apparatus according to any one of claims 1 to 5, wherein the angle of incidence of the laser beam of the wave laser diode is in the range of 30 ° to 60 °, and the angle of incidence is an angle between the propagation direction of the laser beam at the sample incidence point and the tangential plane of the surface to be measured of the sample.
7. A detection method for discriminating true and false metallography of a power plant, characterized in that it is implemented with a detection apparatus for discriminating true and false metallography of a power plant according to any one of claims 1 to 6, comprising the steps of: S1, placing a physical sample corresponding to a metallographic photo on the sample positioning platform, inputting the metallographic photo into the signal processor, and extracting microscopic texture features of the metallographic photo to form visual feature data; S2, activating the resonant cavity module, the electrochemical microprobe module and the optical polarization modulation module, wherein the resonant cavity module applies low-frequency sound wave excitation and records vibration response of a sample to obtain vibration signature data reflecting elastic characteristics of the material; S3, applying a potential gradient by the electrochemical microprobe module, recording electrochemical response data of the sample surface, and combining the electrochemical response signal with the vibration signature data to form composite data; S4, applying polarized light beams by the optical polarization modulation module to scan the surface of the sample, recording polarization change data of light scattering, and combining the polarization change data with the vibration signature data to form combined data; and S5, carrying out multidimensional matching analysis on the visual characteristic data, the composite data and the combined data by the signal processor, judging whether the metallographic photo is true or false according to a matching analysis result, and outputting a detection result.
8. The method for detecting true or false of a metallographic image according to claim 7, wherein the signal processor receives the inputted metallographic image for extracting microscopic texture features of the metallographic image and generating visual feature data.
9. The method for detecting true or false discrimination of metallographic phase of a power plant according to claim 7, wherein said vibration signature data includes vibration frequency and amplitude characteristics, said electrochemical response data includes current intensity and phase characteristics, and said polarization change data includes scattering angle and polarization component characteristics.
10. The method for detecting true or false of power plant metallographic phase according to claim 7, wherein the detection result comprises a visual chart and a matching analysis report of the data of the resonant cavity module, the data of the electrochemical microprobe module and the data of the optical polarization modulation module.

Description

Detection device and method for distinguishing authenticity of power plant metallography Technical Field The invention belongs to the technical field of material detection, and particularly relates to a detection device and method for distinguishing the authenticity of a power plant metallography. Background In the detection of materials in power plants, metallographic analysis is an important means for evaluating the microstructure of metallic materials, for judging the performance and quality of the materials. However, forging metallographs may lead to erroneous material property assessment, thereby causing equipment safety hazards. The prior art generally relies on a metallographic photograph database to identify the authenticity of a newly input metallographic photograph through an image comparison algorithm. And comparing the new photo with the existing photo in the database at the pixel level or the area level, and judging that the photo is forged if the repeated area exceeds a certain proportion. The method is simple to operate and is suitable for rapid screening. However, the comparison result in the prior art is highly dependent on the integrity of the database, the database does not cover novel forged photos or real samples, detection may fail, meanwhile, the algorithm has low slight editing sensitivity to the photos and is easy to cause misjudgment or missed judgment, the method is only based on static visual characteristics, ignores the dynamic characteristics of physical samples corresponding to metallographic photos and cannot effectively cope with the forging based on the real samples but subjected to digital editing, and finally, the prior art lacks an active verification mechanism and is difficult to adapt to the high security requirement under the complex environment of a power plant. These limitations make it difficult for the existing methods to meet the high reliability requirements of the power plant on material detection, and therefore we propose a detection device and method for discriminating the authenticity of the power plant metallography. Disclosure of Invention The invention aims to at least solve one of the technical problems in the prior art, and provides a detection device and a detection method for distinguishing the authenticity of a power plant metallography. One aspect of the present invention provides a detection apparatus for discriminating true or false of a power plant metallography, comprising: the upper surface of the sample positioning platform is integrated with a plurality of groups of miniature clamps; The resonant cavity module is fixed above the sample positioning platform through a bracket and comprises a plurality of surface acoustic wave sensor arrays for generating vibration signatures through low-frequency sound wave excitation in the working process; An electrochemical microprojection module that is imbedded in the upper surface of the sample positioning platform and includes a plurality of micron-sized probes for applying a potential gradient and capturing an electrochemical response during operation; An optical polarization modulation module fixed to a side of the holder and including a wave laser diode and a photodetector for applying polarized light and recording a change in polarized light scattering during operation, and And the signal processor is electrically connected with the resonant cavity module, the electrochemical microprobe module and the optical polarization modulation module. Further, the sample positioning platform is a stainless steel platform, and an anti-slip pad is arranged at the lower end of the sample positioning platform. Specifically, the surface acoustic wave sensor array includes a plurality of surface acoustic wave sensor units using piezoelectric ceramic elements as sensitive substrates. Specifically, the micron-sized probe is a titanium alloy probe. Preferably, the signal processor is an embedded computer based on ARM architecture. Specifically, the angle range of the laser beam incidence angle of the wave laser diode is 30-60 degrees, and the incidence angle is an included angle between the propagation direction of the laser beam at the sample incidence point and the tangential plane of the sample surface to be measured. The invention also provides a detection method for distinguishing the authenticity of the metallography of the power plant, which is implemented by adopting the detection device for distinguishing the authenticity of the metallography of the power plant, and comprises the following steps: S1, placing a physical sample corresponding to a metallographic photo on the sample positioning platform, inputting the metallographic photo into the signal processor, and extracting microscopic texture features of the metallographic photo to form visual feature data; S2, activating the resonant cavity module, the electrochemical microprobe module and the optical polarization modulation module, wherein the resonant cav