Condenser heat transfer tube eddy current detection signal processing method and device, storage medium and electronic equipment

Abstract

The invention relates to a condenser heat transfer tube eddy current detection signal processing method and device, a storage medium and electronic equipment. The method comprises the following steps: reading original eddy current detection data; identifying the original eddy current detection data to obtain effective detection data; analyzing the effective detection data; performing feature extraction based on the analysis result of the effective detection data to obtain data features; performing signal cutting based on the data features, and identifying effective signals and air signals; and removing the air signal to obtain an effective eddy current detection signal. According to the method, invalid air signals can be automatically removed, the speed and accuracy of eddy current detection can be remarkably improved, the dependence on manual analysis is greatly reduced, the objectivity and consistency of detection data are enhanced, potential safety problems are found and solved in time, the operation safety and stability of a nuclear power station are improved, and the reliability of the nuclear power station is improved. And stable operation and safe production of the nuclear power station are ensured.

Description

Technical Field

[0001] The present invention relates to the field of nuclear power plant composite material detection, and more specifically, to a method, device, storage medium and electronic equipment for processing eddy current detection signals of condenser heat transfer tubes. Background Art

[0002] Eddy current testing is commonly used for defect identification and detection of heat transfer tubes in condensers of nuclear power plants. In actual operation, when the eddy current probe is inspected outside the pipe, the probe will capture a large amount of air signals. These signals will be mixed with the signals inside the pipe, thus interfering with the accurate identification of defect signals. At present, traditional eddy current testing systems mainly rely on operators to manually screen and analyze these data using visual analysis software. This method is not only inefficient, but also the accuracy and repeatability of the results cannot be guaranteed due to its high reliance on the operator's experience and judgment. In addition, the manual analysis method has obvious limitations in data processing, especially the recognition ability is very limited when dealing with complex or weak signals.

[0003] As nuclear power plants continue to increase their requirements for equipment safety and reliability, existing eddy current testing technology and its data processing methods can no longer fully meet the needs of industrial applications. The health of pipelines and equipment is directly related to the safe operation of the entire system. The limitations of traditional eddy current testing methods in practical applications may lead to detection loopholes, thus affecting the stable operation and safe production of nuclear power plants. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method, device, storage medium and electronic equipment for processing eddy current detection signals of a condenser heat transfer tube in view of the problems existing in the prior art.

[0005] The technical solution adopted by the present invention to solve the technical problem is: constructing a method for processing eddy current detection signals of a condenser heat transfer tube, comprising the following steps:

[0006] Read the original eddy current detection data;

[0007] Identifying the original eddy current detection data to obtain effective detection data;

[0008] Analyzing the effective detection data;

[0009] Perform feature extraction based on the analysis results of the effective detection data to obtain data features;

[0010] Perform signal cutting based on the data features to identify valid signals and air signals;

[0011] The air signal is removed to obtain an effective eddy current detection signal.

[0012] In the method for processing eddy current detection signals of a condenser heat transfer tube according to the present invention, reading the original eddy current detection data comprises:

[0013] Load the original eddy current test file;

[0014] The data in the original eddy current detection file is read to obtain the original eddy current detection data; the original eddy current detection data is original binary data.

[0015] In the method for processing eddy current detection signals of a condenser heat transfer tube according to the present invention, the identifying of the original eddy current detection data to obtain effective detection data comprises:

[0016] Identifying valid detection data identifiers in the original eddy current detection data;

[0017] Distinguishing valid detection data from non-detection data based on the valid detection data identifier;

[0018] The non-detection data and unnecessary information of the valid detection data are deleted to obtain the valid detection data.

[0019] In the method for processing eddy current detection signals of a condenser heat transfer tube of the present invention, the original eddy current detection data includes: data of eight channels;

[0020] The data of the eight channels include data of four differential channels and data of four absolute channels.

[0021] In the method for processing eddy current detection signals of a condenser heat transfer tube according to the present invention, the identification of the original eddy current detection data and obtaining effective detection data include:

[0022] The original eddy current detection data is structured based on a preset data structure to obtain structured data of the original eddy current detection data.

[0023] In the method for processing condenser heat transfer tube eddy current detection signals of the present invention, the preset data structure includes: a data synchronization header, a counter, a timestamp, a signal value of a differential channel, and a signal value of an absolute channel.

[0024] In the method for processing the condenser heat transfer tube eddy current detection signal of the present invention, the signal cutting based on the data feature and identifying the valid signal and the air signal include:

[0025] Determine a key signal channel according to the data characteristics;

[0026] Based on the signal amplitude of the key signal channel under different environments, the window range method is used to perform signal identification and determine the boundary area of ​​the signal;

[0027] The valid signal and the air signal are identified based on the demarcation area of ​​the signal.

[0028] The present invention also provides a device for processing eddy current detection signals of a condenser heat transfer tube, comprising:

[0029] A data reading unit, used for reading original eddy current detection data;

[0030] A data identification unit, used for identifying the original eddy current detection data to obtain effective detection data;

[0031] A data analysis unit, used for analyzing the effective detection data;

[0032] A feature extraction unit, used to extract features based on the analysis results of the effective detection data to obtain data features;

[0033] A signal cutting unit, used for performing signal cutting based on the data features and identifying valid signals and air signals;

[0034] The signal removal unit is used to remove the air signal to obtain an effective eddy current detection signal.

[0035] The present invention also provides a storage medium storing a computer program, wherein the computer program is suitable for being loaded by a processor to execute the steps of the method for processing the eddy current detection signal of the condenser heat transfer tube as described above.

[0036] The present invention also provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the method for processing eddy current detection signals of condenser heat transfer tubes as described above by calling the computer program stored in the memory.

[0037] The processing method, device, storage medium and electronic device for the condenser heat transfer tube eddy current detection signal of the present invention have the following beneficial effects: including the following steps: reading the original eddy current detection data; identifying the original eddy current detection data to obtain effective detection data; analyzing the effective detection data; extracting features based on the analysis results of the effective detection data to obtain data features; cutting signals based on the data features to identify effective signals and air signals; removing the air signals to obtain effective eddy current detection signals. The present invention can automatically remove invalid air signals, significantly improve the speed and accuracy of eddy current detection, greatly reduce the dependence on manual analysis, enhance the objectivity and consistency of detection data, timely discover and solve potential safety problems, improve the operating safety and stability of nuclear power plants, and ensure the stable operation and safe production of nuclear power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0039] Figure 1 It is a schematic flow chart of a method for processing eddy current detection signals of a condenser heat transfer tube provided by the present invention;

[0040] Figure 2 is the original eddy current detection data provided by the present invention;

[0041] Figure 3 It is the original multi-channel data of the test tube provided by the present invention;

[0042] Figure 4 It is a schematic diagram of the test tube cutting air signal provided by the present invention;

[0043] Figure 5 It is the signal inside the test tube after removing the invalid interference signal provided by the present invention;

[0044] Figure 6 It is the original multi-channel data of the calibration tube provided by the present invention;

[0045] Figure 7 The invention provides the identification of the artificial defect area and the support plate area;

[0046] Figure 8 It is the multi-channel data of the support plate area provided by the present invention;

[0047] Fig. 9 It is the multi-channel data of the artificial defect area provided by the present invention;

[0048] Fig.10 This is a data processing effect diagram of the reference signal provided by the present invention that is not near zero value;

[0049] Fig.11 The present invention provides a block diagram of the principle of a device for processing eddy current detection signals of a condenser heat transfer tube. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] In order to ensure the quality of data analysis and improve efficiency, the present invention provides a method for processing eddy current detection signals of condenser heat transfer tubes. The method can be used to effectively process eddy current detection signals of condenser heat transfer tubes in nuclear power plants, automatically identify and remove invalid air signals outside the pipelines. The method not only improves the accuracy and efficiency of eddy current detection, but also can provide more purified data input for fully automatic detection procedures, thereby providing an efficient and reliable technical solution for eddy current detection of condenser heat transfer tubes in nuclear power plants.

[0052] First, the present invention can directly read the raw eddy current detection data (also called RAW data, usually in .ECD format) generated by the eddy current detector, without the need to use traditional desktop analysis software for preliminary signal processing. This feature not only simplifies the data processing process, but also reduces the technical threshold for relying on specific analysis software, making the deployment and use of eddy current detection systems more flexible and extensive. The present invention can be directly deployed on a variety of hardware platforms to achieve flexible batch processing of data.

[0053] Secondly, the present invention can automatically identify the signal characteristics of the probe inside and outside the heat transfer tube. By comparing the signal differences of the probe in different environments, the effective signal area inside the pipeline can be automatically cut out, thereby effectively eliminating the noise caused by air signals or other external interference. This automatic cutting function greatly improves the accuracy of subsequent automatic analysis, ensuring that only signals from inside the pipeline are used for defect diagnosis and evaluation. Finally, the present invention has significantly improved the data processing speed and effect, optimized the data processing algorithm, accelerated the speed of signal processing, and ensured the high quality of the processing effect. This makes the eddy current detection process faster and greatly improves the practicality and detection efficiency in industrial applications.

[0054] Specifically, Figure 1 As shown, the method for processing the eddy current detection signal of the condenser heat transfer tube includes the following steps:

[0055] Step S101: reading original eddy current detection data.

[0056] In the embodiment of the present invention, reading the original eddy current detection data includes: loading the original eddy current detection file; reading the data in the original eddy current detection file to obtain the original eddy current detection data. The original eddy current detection data is original binary data. Figure 2 As shown, the original eddy current detection data read by the present invention.

[0057] The original eddy current detection data includes: data from eight channels; the data from the eight channels includes: data from four differential channels and data from four absolute channels. These data can be collected by the eddy current detector during manual detection.

[0058] Step S102: Identify the original eddy current detection data to obtain effective detection data.

[0059] In an embodiment of the present invention, the original eddy current detection data is identified to obtain valid detection data, including: identifying the valid detection data identifier in the original eddy current detection data; distinguishing the valid detection data from the non-detection data based on the valid detection data identifier; deleting unnecessary information of the non-detection data and the valid detection data to obtain the valid detection data.

[0060] Further, in an embodiment of the present invention, the raw eddy current detection data is identified, and before obtaining the valid detection data, the method includes: structuring the raw eddy current detection data based on a preset data structure to obtain structured data of the raw eddy current detection data. Optionally, the preset data structure includes: a data synchronization header, a counter, a timestamp, a signal value of a differential channel, and a signal value of an absolute channel.

[0061] Specifically, the present invention converts the raw eddy current detection data into structured data through the preset data structure, which can facilitate subsequent analysis, so that the subsequent data analysis can effectively identify and extract the effective detection data. In the data processing process, the fields containing key signal data can be screened, and the data synchronization header field can be used to ensure data continuity and integrity, thereby significantly improving the quality and speed of data processing, and providing solid support for the efficient operation of the eddy current detection system.

[0062] The effective detection data obtained by identifying the original eddy current detection data can be visualized as follows: Figure 3 shown.

[0063] Step S103: Analyze the effective detection data.

[0064] Specifically, the main difference between air signals and in-tube signals lies in the physical environment and electromagnetic properties. Air signals are signals obtained by the probe in the air. Due to the low electrical conductivity and magnetic permeability of air, the generated signal is low and is mainly used for probe calibration and baseline noise measurement. In-tube signals are signals obtained when the probe is placed in a metal tube. Due to the high electrical conductivity and magnetic permeability of metal, it interacts strongly with eddy currents, especially when there are defects (such as cracks, corrosion, etc.), the signal will change significantly. Therefore, based on the characteristics of air signals and in-tube signals, effective detection data can be analyzed.

[0065] Step S104: extracting features based on the analysis results of the effective detection data to obtain data features.

[0066] Optionally, in an embodiment of the present invention, the data features include: signal amplitude and phase features of each channel in the normal area and the abnormal area.

[0067] Step S105: Perform signal cutting based on data features to identify valid signals and air signals.

[0068] In an embodiment of the present invention, signal cutting is performed based on data features to identify valid signals and air signals, including: determining key signal channels according to data features; performing signal identification using a window range method based on signal amplitudes of the key signal channels under different environments to determine the boundary area of ​​the signal; and identifying valid signals and air signals based on the boundary area of ​​the signal.

[0069] Step S106: remove the air signal to obtain an effective eddy current detection signal.

[0070] Specifically, firstly, the effective detection data is analyzed, and the signal amplitude and phase characteristics of each channel in the normal area and the abnormal area are calculated. According to the difference in phase characteristics, the differential 5-channel, differential 7-channel and absolute 8-channel are determined as the key signal channels. According to the difference in signal amplitude of the key channels in different environments (generally, in the air and in the pipeline, the signal amplitude is relatively stable, while in the transition area where the probe enters or is pulled out of the pipeline, the signal amplitude will change significantly, and the amplitude difference usually exceeds the threshold value T=15000), the boundary area of ​​the signal is identified based on the difference.

[0071] Optionally, in an embodiment of the present invention, a window range method is used to quantify the signal fluctuation amplitude to identify the boundary area of ​​the signal. Specifically, in an embodiment of the present invention, the window size of the signal sequence is set to 200 data points, and the range R of each channel signal is calculated within the rolling window. The calculation formula of the range R is as follows:

[0072] R = max(X 200 )-min(X 200 );

[0073] Among them, X 200 Represents the set of 200 signal data points in the current rolling window; max(X 200 ) and min(X 200 ) represent the X in the set 200 The maximum and minimum values ​​of .

[0074] By moving the sliding window and calculating the range R of each window, the fluctuation amplitude near each data point can be obtained. If the calculated range R exceeds the preset threshold T, it is considered that the signal window area may be located in the boundary area between the air signal and the effective signal, and the area is marked as an abnormal fluctuation area, while the area less than the threshold T is marked as a stable area.

[0075] Furthermore, in order to improve the accuracy of removing invalid signals, the present invention further processes to remove the areas with large fluctuations at both ends of the data after extracting the stable area features. The specific processing method is: first, the data frame is smoothed, and a sliding window with a window length of one-fourth of the total length of the data is used to smooth the signal to avoid the situation where the edge fluctuations are too large and the data cannot be accurately cut. Then, the smoothed data is processed with absolute values, and statistical threshold judgment technology is applied. Specifically, by checking whether the value of each data point is lower than the 0.75th quantile of all data points, relatively balanced data points are screened out, thereby effectively eliminating extreme fluctuations or noise. Finally, these qualified continuous data points are integrated into a complete continuous area. Through this processing method, invalid air signals can be effectively removed to ensure that only the effective detection data area in the pipeline is retained, thereby greatly improving the quality and reliability of the obtained data, and providing solid data support for eddy current detection.

[0076] in, Figure 4 The test tube cut air signal is shown.

[0077] Figure 5 Figure 2 shows the signal inside the test tube after removing the invalid interference signal. Figure 5 It can be seen that the air signals on both sides have been successfully eliminated, making the signal characteristics inside the tube more prominent and making the subsequent defect detection process more intuitive and convenient.

[0078] It should be noted that before performing defect analysis tests, it is necessary to use a calibration tube to calibrate the defects. The data processing of the calibration tube is more complicated than that of the test tube, because invalid signals exist not only on both sides, but also in the middle area between the artificial defect area and the support plate area. Figure 6 shown.

[0079] Among them, the present invention identifies the artificial defect area and support plate area of ​​the calibration tube and removes invalid signals through the following method. Specifically: first identify multiple potential large areas, and then process these areas one by one. Each large area is processed by smoothing and dynamic window rolling maximum calculation to remove areas with excessive fluctuations at both ends. Smoothing helps to reduce random fluctuations in the data, and the dynamic window rolling maximum can be used to identify and retain the main fluctuation ranges in the data. When the fluctuations of data points meet specific quantitative conditions (such as quantile fluctuations less than 80%), these data points are considered valid. After determining that there are two or more significant peaks in a large area, this area is determined to be a valid artificial defect area. In addition, if a valid large area is detected in the switch of the data, the support plate area is further adjusted. This adjustment process involves smoothing and feature extraction to ensure that the signal reflected from the support plate is correctly identified and processed. This method enables the system to effectively identify and segment the artificial defect area and the support plate area, laying the foundation for subsequent automated defect calibration and mixing processing. Among them, identifying the artificial defect area and the support plate area such as Figure 7 shown.

[0080] Identify and cut out artificial defect areas (such as Figure 8 as shown) and the support plate area (as Fig. 9 After the automatic calibration and normalization processing can be performed based on the clean artificial defect data, it can provide a basis for the subsequent in-depth automatic analysis. At the same time, the mixing processing is performed based on the segmented support plate area, laying the prerequisite for further defect analysis under the support plate.

[0081] It should be noted that even when the valid data reference signal is not near zero due to certain factors, this method can still effectively detect and remove invalid signals and accurately separate the artificial defect area and the support plate area. This ensures the adaptability and accuracy of the technology and maintains efficient performance even under unsatisfactory data conditions. Fig.10 The effect of data processing when the reference signal is not near zero is shown.

[0082] The present invention can effectively remove invalid interference signals and is applicable to a variety of data types, including calibration tube data, test tube data, and abnormal data whose reference signal is not near zero. The present invention has wide applicability and high efficiency.

[0083] The present invention can significantly improve the speed and accuracy of eddy current detection by automatically removing invalid air signals, greatly reducing the reliance on manual analysis. This automated processing not only speeds up the detection process, allowing on-site operators to quickly obtain test results, but also enhances the objectivity and consistency of the test data. Especially in industrial applications that require rapid response, such as nuclear power plants, this technology can effectively optimize maintenance processes, promptly detect and resolve potential safety issues, thereby improving the operational safety and stability of the entire facility. These improvements not only improve the operational convenience of eddy current detection, but also greatly improve detection efficiency.

[0084] The present invention is a key component of automated eddy current testing, which aims to identify potential defects in condenser heat transfer tubes in advance and greatly reduce the risk of pipeline leakage. By optimizing the detection process, this method significantly reduces the reliance on professional technicians and speeds up the detection speed, allowing power plant managers to take necessary maintenance and repair measures in a timely manner. It reduces production delays and related costs that may be caused by equipment failures, effectively shortens equipment downtime and improves equipment operating efficiency. By ensuring the continuous and healthy operation of equipment, this technology significantly improves the production stability and reliability of the power plant, not only ensuring the continuity and safety of power supply, but also bringing significant positive impacts on the daily operation and maintenance and long-term development of the power plant.

[0085] refer to Fig.11 The present invention provides a processing device for eddy current detection signals of condenser heat transfer tubes.

[0086] Specifically, Fig.11 As shown, the processing device for the eddy current detection signal of the condenser heat transfer tube includes:

[0087] The data reading unit 111 is used to read the original eddy current detection data.

[0088] The data identification unit 112 is used to identify the original eddy current detection data to obtain effective detection data.

[0089] The data analysis unit 113 is used to analyze the effective detection data.

[0090] The feature extraction unit 114 is used to extract features based on the analysis results of the effective detection data to obtain data features.

[0091] The signal cutting unit 115 is used to cut signals based on data features and identify valid signals and air signals.

[0092] The signal removal unit 116 is used to remove the air signal to obtain an effective eddy current detection signal.

[0093] Specifically, the specific coordination operation process between the various units in the processing device for the condenser heat transfer tube eddy current detection signal here can refer to the above-mentioned processing method for the condenser heat transfer tube eddy current detection signal, which will not be repeated here.

[0094] In addition, an electronic device of the present invention includes a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program to implement a method for processing eddy current detection signals of a condenser heat transfer tube as described in any one of the above. Specifically, according to an embodiment of the present invention, the process described with reference to the flowchart above can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed by an electronic device and when executed, it executes the above functions defined in the method of the embodiment of the present invention. The electronic device in the present invention can be a terminal such as a notebook, a desktop, a tablet computer, a smart phone, or a server.

[0095] In addition, a storage medium of the present invention stores a computer program thereon, and when the computer program is executed by a processor, the processing method of the eddy current detection signal of the condenser heat transfer tube of any one of the above items is implemented. Specifically, it should be noted that the above storage medium of the present invention can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it. In the present invention, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0096] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0097] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0098] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0099] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0100] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with the technology to understand the content of the present invention and implement it accordingly, and they cannot limit the scope of protection of the present invention. All equivalent changes and modifications made to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A method for processing eddy current detection signals of condenser heat transfer tubes, characterized in that: The following steps are involved: Read the original eddy current detection data; Identifying the original eddy current detection data to obtain effective detection data; Analyzing the effective detection data; Perform feature extraction based on the analysis results of the effective detection data to obtain data features; Perform signal cutting based on the data features to identify valid signals and air signals; The air signal is removed to obtain an effective eddy current detection signal.

2. The method for processing eddy current detection signals of condenser heat transfer tubes according to claim 1, characterized in that: The reading of the original eddy current detection data comprises: Load the original eddy current test file; The data in the original eddy current detection file is read to obtain the original eddy current detection data; the original eddy current detection data is original binary data.

3. The method for processing eddy current detection signals of condenser heat transfer tubes according to claim 1, characterized in that: The identifying of the original eddy current detection data to obtain effective detection data comprises: Identifying valid detection data identifiers in the original eddy current detection data; Distinguishing valid detection data from non-detection data based on the valid detection data identifier; The non-detection data and unnecessary information of the valid detection data are deleted to obtain the valid detection data.

4. The method for processing eddy current detection signals of condenser heat transfer tubes according to claim 1, characterized in that: The original eddy current detection data includes: data of eight channels; The data of the eight channels include data of four differential channels and data of four absolute channels.

5. The method for processing eddy current detection signals of condenser heat transfer tubes according to claim 1, characterized in that: The identifying of the original eddy current detection data to obtain effective detection data comprises: The original eddy current detection data is structured based on a preset data structure to obtain structured data of the original eddy current detection data.

6. The method for processing eddy current detection signals of condenser heat transfer tubes according to claim 5, characterized in that: The preset data structure includes: a data synchronization header, a counter, a timestamp, a signal value of a differential channel, and a signal value of an absolute channel.

7. The method for processing eddy current detection signals of condenser heat transfer tubes according to claim 1, characterized in that: The signal cutting based on the data feature to identify the valid signal and the air signal includes: Determine a key signal channel according to the data characteristics; Based on the signal amplitude of the key signal channel under different environments, the window range method is used to perform signal identification and determine the boundary area of ​​the signal; The valid signal and the air signal are identified based on the demarcation area of ​​the signal.

8. A device for processing eddy current detection signals of a condenser heat transfer tube, characterized in that: include: A data reading unit, used for reading original eddy current detection data; A data identification unit, used for identifying the original eddy current detection data to obtain effective detection data; A data analysis unit, used for analyzing the effective detection data; A feature extraction unit, used to extract features based on the analysis results of the effective detection data to obtain data features; A signal cutting unit, used for performing signal cutting based on the data features and identifying valid signals and air signals; The signal removal unit is used to remove the air signal to obtain an effective eddy current detection signal.

9. A storage medium, characterized in that: The storage medium stores a computer program, and the computer program is suitable for being loaded by a processor to execute the steps of the method for processing eddy current detection signals of a condenser heat transfer tube according to any one of claims 1 to 7.

10. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the method for processing eddy current detection signals of a condenser heat transfer tube as claimed in any one of claims 1 to 7 by calling the computer program stored in the memory.

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