Heat transfer tube wear defect detection method, device, equipment, medium and product

Abstract

The invention discloses a heat transfer tube wear defect detection method, device and equipment, a medium and a product. The method comprises the steps that a to-be-detected heat transfer pipe is detected through a shaft winding type probe, wear defect heat transfer pipes and wear defect signal data corresponding to the wear defect heat transfer pipes are determined, and the wear defect heat transfer pipes are heat transfer pipes with wear defects in the to-be-detected heat transfer pipes; performing rotation detection on the heat transfer tube with the wear defect through the rotary probe, and determining a wear defect type corresponding to the heat transfer tube with the wear defect; and determining the abrasion degree of the heat transfer tube with the abrasion defect according to the abrasion relation curve corresponding to the abrasion defect signal data and the abrasion defect type. According to the invention, the rotary probe can fully cover the surface of the heat transfer tube, so that the accuracy of determining the wear defect type is ensured; the shaft winding type probe can effectively capture abrasion defect signal data, it is guaranteed that the abrasion degree is determined more accurately, and in other words, through cooperation of the shaft winding type probe and the rotating probe, the accuracy of heat transfer pipe abrasion defect detection is improved.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of data processing technology, and in particular to a method, device, equipment, medium and product for detecting wear defects of heat transfer tubes. Background Art

[0002] Steam generator is an important equipment in nuclear power plants. It undertakes the heat exchange task between the primary and secondary sides and is also the second barrier to prevent nuclear leakage. At the same time, the heat exchange area of ​​the steam generator heat transfer tube accounts for more than 80% of the total pressure boundary area of ​​the primary circuit. Its safety importance is self-evident. The detection of the metal properties of the heat transfer tube is very important.

[0003] The types, distribution areas, and expansion rates of wear defects in steam generator heat transfer tubes are diverse. At present, the amplitude method is generally used to quantify wear defects. The amplitude-depth curve is made by using the signal response amplitude of the full-length single-sided flat wear defects of the shaft-wound probe at different depths to quantify wear defects. This method quantifies according to the amplitude quantification curve of the same wear form, and can only quantify based on single-sided wear. It cannot distinguish between the single and double sides of wear defects, so its quantitative results are too conservative or have low accuracy. Summary of the invention

[0004] The present invention provides a heat transfer tube wear defect detection method, device, equipment, medium and product to improve the accuracy of heat transfer tube wear defect detection.

[0005] In a first aspect, an embodiment of the present invention provides a method for detecting wear defects of a heat transfer tube, comprising:

[0006] The heat transfer tube to be inspected is inspected by using an axis-wound probe to determine the wear defective heat transfer tube and the wear defect signal data corresponding to the wear defective heat transfer tube, wherein the wear defective heat transfer tube is the heat transfer tube with wear defect in the heat transfer tube to be inspected;

[0007] Performing a rotational inspection on the wear defective heat transfer tube by a rotating probe to determine the wear defect type corresponding to the wear defective heat transfer tube;

[0008] The wear degree of the wear defective heat transfer tube is determined by the wear defect signal data and the wear relationship curve corresponding to the wear defect type.

[0009] Furthermore, the wear relationship curve is a relationship curve showing the correlation between the wear degree and the wear defect signal data; each wear defect type corresponds to a wear relationship curve.

[0010] Further, the method of determining the wear degree of the wear defective heat transfer tube by using the wear defect signal data and the wear relationship curve corresponding to the wear defect type includes:

[0011] The wear defect signal data is matched with the wear relationship curve corresponding to the wear defect type to obtain the wear degree of the wear defect heat transfer tube.

[0012] Furthermore, matching the wear defect signal data with the wear relationship curve corresponding to the wear defect type to obtain the wear degree of the wear defect heat transfer tube includes:

[0013] Matching corresponding curve signal data from the wear relationship curve corresponding to the wear defect type according to the wear defect signal data;

[0014] The degree of wear of the wear defective heat transfer tube is determined from the wear relationship curve according to the curve signal data.

[0015] Furthermore, the types of wear defects include at least: double-sided uniform wear, double-sided wear combining gradual and uniform wear, double-sided gradual wear, single-sided gradual wear and single-sided uniform wear.

[0016] Furthermore, the method further comprises:

[0017] Acquire sample signal data corresponding to each wear defect type in the heat transfer tube sample set and the sample wear degree represented by the sample signal data;

[0018] For each wear defect type, a wear relationship curve corresponding to the wear defect type is determined according to the sample signal data and the sample wear degree.

[0019] In a second aspect, an embodiment of the present invention provides a heat transfer tube wear defect detection device, comprising:

[0020] A data determination module is used to detect the heat transfer tube to be detected by using an axially wound probe, and determine the wear defect heat transfer tube and the wear defect signal data corresponding to the wear defect heat transfer tube, wherein the wear defect heat transfer tube is the heat transfer tube with wear defects among the heat transfer tubes to be detected;

[0021] A type determination module, used to perform a rotation detection on the wear defective heat transfer tube by a rotating probe to determine the wear defect type corresponding to the wear defective heat transfer tube;

[0022] The wear degree determination module is used to determine the wear degree of the wear defect heat transfer tube according to the wear defect signal data and the wear relationship curve corresponding to the wear defect type.

[0023] In a third aspect, an embodiment of the present invention provides an electronic device, including:

[0024] at least one processor; and

[0025] a memory communicatively connected to the at least one processor; wherein,

[0026] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the heat transfer tube wear defect detection method as described in the first aspect.

[0027] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the heat transfer tube wear defect detection method as described in the first aspect when executed.

[0028] In a fifth aspect, an embodiment of the present invention provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the heat transfer tube wear defect detection method as described in the first aspect.

[0029] The embodiment of the present invention provides a method, device, equipment, medium and product for detecting wear defects of heat transfer tubes. The method comprises: detecting the heat transfer tube to be detected by means of an axially wound probe, determining the wear defect heat transfer tube and the wear defect signal data corresponding to the wear defect heat transfer tube, wherein the wear defect heat transfer tube is a heat transfer tube with wear defects among the heat transfer tubes to be detected; performing a rotation detection on the wear defect heat transfer tube by means of a rotating probe, determining the wear defect type corresponding to the wear defect heat transfer tube; determining the wear degree of the wear defect heat transfer tube by means of the wear defect signal data and the wear relationship curve corresponding to the wear defect type. The above technical scheme determines the wear defective heat transfer tube and the wear defect signal data corresponding to the wear defective heat transfer tube through the shaft-wound probe, and then determines the wear defect type corresponding to the wear defective heat transfer tube through the rotating probe. Finally, the wear degree of the wear defective heat transfer tube is determined through the wear defect signal data and the wear relationship curve. The rotating probe can fully cover the surface of the wear defective heat transfer tube, ensuring the accuracy of determining the wear defect type of the wear defective heat transfer tube; the shaft-wound probe can effectively capture the wear defect signal data, thereby ensuring that the wear degree of the wear defective heat transfer tube can be determined more accurately. Through the cooperation of the shaft-wound probe and the rotating probe, the accuracy of heat transfer tube wear defect detection is improved.

[0030] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0032] Figure 1 A flow chart of a heat transfer tube wear defect detection method provided in Embodiment 1 of the present invention;

[0033] Figure 2 A flow chart of another heat transfer tube wear defect detection method provided in the first embodiment of the present invention;

[0034] Figure 3 A signal bar graph of a heat transfer tube with a shaft-wound probe detecting wear defects provided by the first embodiment of the present invention;

[0035] Figure 4 A signal bar graph of a rotating probe detecting a heat transfer tube with a wear defect provided in the first embodiment of the present invention;

[0036] Figure 5 A C-scan diagram of a rotating probe for defect wear provided in the first embodiment of the present invention;

[0037] Figure 6 A schematic diagram of the structure of a heat transfer tube wear defect detection device provided in the second embodiment of the present invention;

[0038] Figure 7 A schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0039] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. In addition, the embodiments of the present invention and the features in the embodiments can be combined with each other without conflict. It is also necessary to explain that, for the convenience of description, only the parts related to the present invention are shown in the accompanying drawings, rather than all structures.

[0040] It should be mentioned before discussing the exemplary embodiments in more detail that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the steps as sequential processes, many of the steps therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the steps can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0041] It should be noted that the concepts such as "first" and "second" mentioned in the embodiments of the present invention are only used to distinguish different devices, modules, units or other objects, and are not used to limit the order or interdependence of the functions performed by these devices, modules, units or other objects.

[0042] Embodiment 1

[0043] Figure 1 This is a flow chart of a heat transfer tube wear defect detection method provided in Example 1 of the present invention. This embodiment can be applied to the case of improving the accuracy of heat transfer tube wear defect detection. Specifically, the heat transfer tube wear defect detection method can be executed by a heat transfer tube wear defect detection device, and the heat transfer tube wear defect detection device can be implemented by software and / or hardware and integrated in an electronic device. Furthermore, the electronic device includes but is not limited to: electronic devices such as desktop computers, laptop computers, smart phones, and servers.

[0044] like Figure 1 As shown, the method specifically comprises the following steps:

[0045] S110, inspecting the heat transfer tube to be inspected by using an axially wound probe to determine a heat transfer tube with wear defects and wear defect signal data corresponding to the heat transfer tube with wear defects, wherein the heat transfer tube with wear defects is a heat transfer tube with wear defects among the heat transfer tubes to be inspected.

[0046] In this embodiment, the shaft-wound probe may refer to a type of probe used for eddy current testing, which can detect defects on the surface and sub-surface of metal (such as a heat transfer tube) by measuring the changes in the magnetic field generated by the eddy current. A heat transfer tube may refer to a heat exchange device that can transfer energy through a liquid or gas flowing inside the tube, such as a heat transfer tube of a steam generator. A heat transfer tube of a steam generator may refer to a heat exchange device specifically used in a steam generator, which can transfer energy through steam flowing inside the tube. Wear defect signal data may refer to signal data about wear defects on the metal surface and sub-surface obtained by methods such as eddy current testing, and the wear defect signal data may include changes in the magnetic field generated by the eddy current, changes in the electrical signal, and corresponding characteristic parameters, such as amplitude, phase difference, etc. A wear defect heat transfer tube may refer to a heat transfer tube with wear defects in the heat transfer tube to be detected.

[0047] Among them, the electronic device can operate the shaft-wound probe to scan the heat transfer tube to be inspected, find the heat transfer tube with defective wear, that is, determine the wear defective heat transfer tube, and at the same time, obtain the original signal data of the wear defect area in the wear defective heat transfer tube through the shaft-wound probe, and then pre-process the original signal data (such as filtering, amplification and standardization, etc.) to obtain the wear defect signal data corresponding to the wear defective heat transfer tube. It should be noted that the original signal data can also be directly used as the wear defect signal data without pre-processing operation.

[0048] S120, performing a rotational detection on the wear defective heat transfer tube by using a rotating probe to determine the wear defect type corresponding to the wear defective heat transfer tube.

[0049] In this embodiment, the rotating probe may refer to an eddy current detection device that can rotate around the axis of the heat transfer tube and the axis of the heat transfer tube, and can have higher flexibility and detection range. The wear defect type may refer to the type of wear defect of the heat transfer tube, which can be classified according to the shape of the defect wear and single or double sides. The wear defect type may include, for example: double-sided uniform wear, double-sided wear combined with gradual and uniform wear, double-sided gradual wear, single-sided gradual wear, single-sided uniform wear and three-sided wear.

[0050] Among them, because the heat transfer tube in the steam generator is constrained by its support plate, the contact surface between the support plate and the heat transfer tube often presents a "clover" shape. If the heat transfer tube has wear defects due to vibration, single-sided wear, double-sided wear or even three-sided wear will occur. Among them, double-sided uniform wear can refer to the wear of both sides of the contact surface between the heat transfer tube and the support plate being evenly distributed; double-sided wear combined with gradual and uniformity can refer to the wear of both sides of the contact surface between the heat transfer tube and the support plate, one side of which is evenly worn and the other side of which is gradually worn; double-sided gradual wear can refer to the wear of both sides of the contact surface between the heat transfer tube and the support plate being gradually worn; single-sided gradual wear can refer to the wear of one side of the contact surface between the heat transfer tube and the support plate being gradually worn; single-sided uniform wear can refer to the wear of one side of the contact surface between the heat transfer tube and the support plate being evenly distributed; three-sided wear can refer to the wear of all three sides of the contact surface between the heat transfer tube and the support plate.

[0051] In this operation, the rotating probe can perform a rotating scan on the wear defective heat transfer tube, so that the detection area can be fully covered, and the wear defect type corresponding to the wear defective heat transfer tube can be determined more accurately.

[0052] S130, determining the wear degree of the wear defective heat transfer tube according to the wear defect signal data and the wear relationship curve corresponding to the wear defect type.

[0053] In this embodiment, the wear relationship curve can represent the correlation between the wear degree and the wear defect signal data. Each wear defect type corresponds to a wear relationship curve. The wear degree can refer to the size and depth of the wear defect heat transfer tube.

[0054] The electronic device can determine the degree of wear of the wear defective heat transfer tube by matching the wear defect signal data with the wear relationship curve corresponding to the wear defect type.

[0055] Among them, the wear defective heat transfer tube and the wear defect signal data corresponding to the wear defective heat transfer tube are determined by the shaft-wound probe, and then the wear defect type corresponding to the wear defective heat transfer tube is determined by the rotating probe. Finally, the wear degree of the wear defective heat transfer tube is determined by the wear defect signal data and the wear relationship curve. Since the rotating probe can fully cover the surface of the wear defective heat transfer tube, the accuracy of determining the wear defect type corresponding to the wear defective heat transfer tube can be guaranteed; since the shaft-wound probe can effectively capture the wear defect signal data, it can be guaranteed that the wear degree of the wear defective heat transfer tube can be determined more accurately. Through the cooperation of the shaft-wound probe and the rotating probe, the accuracy of heat transfer tube wear defect detection can be improved.

[0056] A method for detecting wear defects of a heat transfer tube provided in a first embodiment of the present invention comprises: detecting a heat transfer tube to be detected by using an axially wound probe, determining a heat transfer tube with a wear defect and wear defect signal data corresponding to the heat transfer tube with a wear defect, wherein the heat transfer tube with a wear defect is a heat transfer tube with a wear defect among the heat transfer tubes to be detected; performing a rotation detection on the heat transfer tube with a wear defect by using a rotating probe, determining a wear defect type corresponding to the heat transfer tube with a wear defect; and determining a wear degree of the heat transfer tube with a wear defect by using a wear defect signal data and a wear relationship curve corresponding to the wear defect type. The above technical scheme determines the wear defective heat transfer tube and the wear defect signal data corresponding to the wear defective heat transfer tube through the shaft-wound probe, and then determines the wear defect type corresponding to the wear defective heat transfer tube through the rotating probe. Finally, the wear degree of the wear defective heat transfer tube is determined through the wear defect signal data and the wear relationship curve. The rotating probe can fully cover the surface of the wear defective heat transfer tube, ensuring the accuracy of determining the wear defect type of the wear defective heat transfer tube; the shaft-wound probe can effectively capture the wear defect signal data, thereby ensuring that the wear degree of the wear defective heat transfer tube can be determined more accurately. Through the cooperation of the shaft-wound probe and the rotating probe, the accuracy of heat transfer tube wear defect detection is improved.

[0057] Optionally, the wear relationship curve is a relationship curve showing the correlation between the wear degree and the wear defect signal data; each wear defect type corresponds to a wear relationship curve.

[0058] Among them, each type of wear defect corresponds to a wear relationship curve, which can effectively solve the problem that the existing wear defects have different defect forms and are not targeted enough for quantification (determination of wear degree) according to the same wear relationship curve. It can effectively improve the accuracy of heat transfer tube wear defect detection.

[0059] Optionally, determining the wear degree of the wear defective heat transfer tube by using the wear defect signal data and a wear relationship curve corresponding to the wear defect type includes:

[0060] The wear defect signal data is matched with the wear relationship curve corresponding to the wear defect type to obtain the wear degree of the wear defect heat transfer tube.

[0061] Among them, after determining the wear defect signal data under the wear defect type corresponding to the wear defect heat transfer tube, select the wear relationship curve corresponding to the wear defect type, and then match the wear defect signal data with the wear relationship curve to find the curve signal data in the wear relationship curve that is closest to the wear defect signal data, and then determine the wear degree of the wear defect heat transfer tube. It is also possible to train a machine learning model to learn the relationship between the wear defect signal data and the wear relationship curve, and then use the trained machine learning model to match and evaluate the wear degree of the wear defect heat transfer tube.

[0062] Optionally, matching the wear defect signal data with the wear relationship curve corresponding to the wear defect type to obtain the wear degree of the wear defect heat transfer tube includes:

[0063] Matching corresponding curve signal data from the wear relationship curve corresponding to the wear defect type according to the wear defect signal data;

[0064] The degree of wear of the wear defective heat transfer tube is determined from the wear relationship curve according to the curve signal data.

[0065] In one embodiment, the curve signal data can be understood as signal data representing metal surface and sub-surface wear defects in the wear relationship curve. Exemplarily, the wear relationship curve can be a curve with an x-axis and a y-axis, the x-axis can represent the curve signal data (such as phase or amplitude, etc.), and the y-axis can represent the degree of wear (such as wear depth or wear size, etc.).

[0066] Among them, according to the wear defect signal data, the curve signal data closest to the wear curve signal data can be found from the wear relationship curve corresponding to the wear defect type, and then according to the curve signal data, the wear degree corresponding to the curve signal data can be found from the wear relationship curve, so as to determine the wear degree of the wear defect heat transfer tube.

[0067] In this operation, the wear defect signal data is matched with the curve signal data in the wear relationship curve, and then the wear degree of the wear defect heat transfer tube is determined according to the curve signal data, which can ensure that the determination of the wear degree is more accurate and objective.

[0068] Optionally, the types of wear defects include at least: double-sided uniform wear, double-sided wear combining gradual and uniform wear, double-sided gradual wear, single-sided gradual wear and single-sided uniform wear.

[0069] Optionally, the method further includes:

[0070] Acquire sample signal data corresponding to each wear defect type in the heat transfer tube sample set and the sample wear degree represented by the sample signal data;

[0071] For each wear defect type, a wear relationship curve corresponding to the wear defect type is determined according to the sample signal data and the sample wear degree.

[0072] In one embodiment, the heat transfer tube sample can be understood as a heat transfer tube with known wear defects, which can be used to simulate or reproduce wear defects that may occur in actual use. The heat transfer tube sample set has wear defects of different depths, types, and sizes. The heat transfer tube sample set can refer to a collection of heat transfer tube samples, and the heat transfer tube sample set can include at least one heat transfer tube sample. The sample signal data can refer to the signal data corresponding to the wear defects existing in the heat transfer tube sample set. The sample wear degree can refer to the wear degree represented by the signal data corresponding to the wear defects existing in the heat transfer tube sample set.

[0073] Among them, a heat transfer tube sample set with wear defects of different depths, types and sizes is produced, and the sample signal data corresponding to each wear defect type in the heat transfer tube sample set and the sample wear degree represented by the sample signal data are obtained. For each wear defect type, a wear relationship curve corresponding to the wear defect type is produced according to the sample signal data and the sample wear degree. It should be noted that the sample signal data can be signal data that has been preprocessed (such as filtering, etc.) or signal data that has not been preprocessed. The wear relationship curve can be produced by a machine learning algorithm or a statistical model.

[0074] For example, Figure 2 This is a flow chart of another heat transfer tube wear defect detection method provided in Example 1 of the present invention. Figure 2As shown, the detection starts, the shaft-wound probe is used to detect the heat transfer tube to be detected, and the wear defect heat transfer tube and the wear defect signal data corresponding to the wear defect heat transfer tube are determined. Then, the rotating probe is used to rotate the wear defect heat transfer tube to detect the wear defect heat transfer tube, and the wear defect type corresponding to the wear defect heat transfer tube is determined. There are single-side wear and double-side wear. Single-side wear can be divided into single-side gradual wear and single-side uniform wear. Double-side wear can be divided into gradual and uniform combined double-side wear, double-side uniform wear and double-side gradual wear. Then, the wear degree of the wear defect heat transfer tube is determined by the wear defect signal data and the wear relationship curve corresponding to the wear defect type, and the detection ends.

[0075] For example, Figure 3 A signal bar graph of a heat transfer tube with a shaft-wound probe detecting wear defects provided by the first embodiment of the present invention; Figure 4 A signal bar graph of a rotating probe detecting a heat transfer tube with wear defects provided in the first embodiment of the present invention. Figure 3 As shown in the figure, the green part is the eddy current signal. The shaft-wound probe has two sets of detection coils in opposite directions in the circumferential direction. Therefore, due to its structural characteristics, it is impossible to determine whether there are two or more defects on the same circumference. Therefore, it is impossible to intuitively see the type of wear defects from the signal bar graph; Figure 4 As shown in the figure, the green part is the eddy current signal. Since the rotating probe is rotating and scanning, it can collect data all the time and can separate two wear defects on the same circumference. Figure 3 It can be seen more intuitively that the wear defect type is double-sided gradual wear.

[0076] For example, Figure 5 This is a C-scan image of a rotating probe for wear of a defect provided in the first embodiment of the present invention. Figure 5 As shown, the rotating probe has a special function, which can use ultrasonic technology to image the inside of the object, and can intuitively see the wear defect type of the heat transfer tube. Figure 4 and Figure 5 They are the same defect type, both of which are double-sided gradual wear.

[0077] For example, according to the support structure of the heat transfer tube of the steam generator, the maximum width of the contact surface between the support plate and the heat transfer tube is 2.54 mm, the maximum width of the support plate is 28.58 mm, the maximum contact surface between the anti-vibration strip and the heat transfer tube, and the axial length of the anti-vibration strip in contact with the heat transfer tube is 12.19 mm long. Therefore, according to the wear types of the support plate that may occur during actual operation, 10 types of wear defects are designed, and the wear type of the anti-vibration strip is designed. The detailed design scheme is as follows:

[0078] 1. Uniform wear on one side, 1 group in total:

[0079] 1) Single-sided uniform wear, 28.58mm*2.54mm (length*width), 20 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, 100%;

[0080] 2. Single-sided gradual wear with different lengths (9mm, 12mm, 15mm), 6 groups in total:

[0081] 1) Single-sided gradual wear, 3mm*2.54mm (length*width), 2 different depths: 7%, 10%;

[0082] 2) Single-sided gradual wear, 6mm*2.54mm (length*width), 4 different depths: 7%, 10%, 15%, 20%;

[0083] 3) Single-sided gradual wear, 9mm*2.54mm (length*width), 6 different depths: 7%, 10%, 15%, 20%, 25%, 30%;

[0084] 4) Single-sided gradual wear, 12mm*2.54mm (length*width), 8 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%;

[0085] 5) Single-sided gradual wear, 15mm*2.54mm (length*width), 10 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%;

[0086] 6) Single-sided gradual wear, 28.58mm*2.54mm (length*width), 14 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%;

[0087] 3. Double-sided uniform wear, 1 group in total:

[0088] 1) Double-sided uniform wear, 28.58mm*2.54mm (length*width), 14 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%;

[0089] 4. Two groups of double-sided gradual wear in the same direction with different lengths (12mm, 28.58mm):

[0090] 1) Double-sided gradual wear in the same direction, 12mm*2.54mm (length*width), 8 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%;

[0091] 2) Double-sided gradual wear in the same direction, 28.58mm*2.54mm (length*width), 14 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%;

[0092] 5. Two groups of reverse gradient wear with different lengths (12mm and 16mm, 12mm and 28.58mm):

[0093] 1) Combined double-sided reverse gradient wear, 12mm*2.54mm (length*width) and 16mm*2.54mm (length*width), 8 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%;

[0094] 2) Combined double-sided reverse gradient wear, 12mm*2.54mm (length*width) and 28.58mm*2.54mm (length*width), 8 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%;

[0095] 6. Different lengths (12mm and 16mm), different depths, combined double-sided reverse gradient wear, a total of 2 groups:

[0096] 1) Combined double-sided reverse gradient wear, 12mm*2.54mm (length*width) and 16mm*2.54mm (length*width), different depth combinations (depth difference of 20%): 12mm depths are 10%, 15%, 20%, 25%, 30%, and the corresponding positions of 16mm depths are 30%, 35%, 40%, 45%, 50%;

[0097] 2) Combined double-sided reverse gradient wear, 12mm*2.54mm (length*width) and 16mm*2.54mm (length*width), different depth combinations: 12mm depths are 10%, 15%, 20%, 25%, 30%, and the corresponding 16mm depths are 50%, 50%, 50%, 50%, 50%;

[0098] 7. Different lengths (12mm and 16mm), different depths, combined double-sided same-direction gradual wear, a total of 2 groups:

[0099] 1) Combined double-sided reverse gradient wear, 12mm*2.54mm (length*width) and 16mm*2.54mm (length*width), different depth combinations (depth difference of 20%): 12mm depths are 10%, 15%, 20%, 25%, 30%, and the corresponding positions of 16mm depths are 30%, 35%, 40%, 45%, 50%;

[0100] 2) Combined double-sided reverse gradient wear, 12mm*2.54mm (length*width) and 16mm*2.54mm (length*width), different depth combinations (depth difference of 20%): 12mm depths are 10%, 15%, 20%, 25%, 30%, and the corresponding 16mm depths are 50%, 50%, 50%, 50%, 50%;

[0101] 8. Same length (28.58mm and 28.58mm), different depths, combined double-sided uniform wear, a total of 2 groups:

[0102] 1) Combined wear of different depths, 28.58mm*2.54mm (length*width) and 28.58mm*2.54mm (length*width), depth difference of 20%, 10 different depths: the first group is 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, and the corresponding positions are 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%;

[0103] 2) Combined wear at different depths, 28.58mm*2.54mm (length*width) and 28.58mm*2.54mm (length*width), 5 different depths: the first group is 20%, 25%, 30%, 35%, 40%, and the corresponding positions are 50%, 50%, 50%, 50%, 50%;

[0104] 9. Gradual and uniform combination of double-sided wear in the same direction, a total of 3 groups:

[0105] 1) Gradient and uniform combination of double-sided wear in the same direction, gradient 12mm*2.54mm (length*width) and uniform 28.58mm*2.54mm (length*width), 14 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%;

[0106] 2) Gradient and uniform combination of double-sided wear in the same direction, gradient 12mm*2.54mm (length*width) and uniform 28.58mm*2.54mm (length*width), different depth combinations (depth difference of 20%): gradient 12mm depths are 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40% respectively, and the corresponding positions of uniform 28.58mm depths are 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60% respectively;

[0107] 3) Combination of gradient and uniform double-sided wear in the same direction, gradient 12mm*2.54mm (length*width) and uniform 28.58mm*2.54mm (length*width), different depth combinations: gradient 12mm depths are 20%, 25%, 30%, 35%, 40% respectively, and the corresponding uniform 12mm depths are 50%, 50%, 50%, 50%, 50% respectively;

[0108] 10. Gradual and uniform combination of double-sided reverse wear, a total of 3 groups:

[0109] 1) Gradient and uniform combination of double-sided reverse wear, gradient 12mm*2.54mm (length*width) and uniform 28.58mm*2.54mm (length*width), 14 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%;

[0110] 2) Gradient and uniform combination of double-sided reverse wear, gradient 12mm*2.54mm (length*width) and uniform 28.58mm*2.54mm (length*width), different depth combinations (depth difference of 20%): gradient 12mm depths are 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40% respectively; the corresponding positions of uniform 28.58mm depths are 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60% respectively;

[0111] 3) Gradient and uniform combination of double-sided reverse wear, gradient 12mm*2.54mm (length*width) and uniform 28.58mm*2.54mm (length*width), different depth combinations: gradient 12mm depths are 20%, 25%, 30%, 35%, 40% respectively, and the corresponding positions of uniform 28.58mm depths are 50%, 50%, 50%, 50%, 50% respectively;

[0112] 11. Uniform single-sided anti-vibration strip wear, 1 group in total:

[0113] 1) Uniform single-sided anti-vibration strip wear, axial length 12.19mm, 17 different depths: 7%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%.

[0114] Embodiment 2

[0115] Figure 6 This is a schematic diagram of the structure of a heat transfer tube wear defect detection device provided in the second embodiment of the present invention. The device can execute the heat transfer tube wear defect detection method provided in the embodiment of the present invention. The heat transfer tube wear defect detection device provided in this embodiment includes:

[0116] The data determination module 210 is used to detect the heat transfer tube to be detected by using an axially wound probe, and determine the wear defect heat transfer tube and the wear defect signal data corresponding to the wear defect heat transfer tube, wherein the wear defect heat transfer tube is the heat transfer tube with wear defects among the heat transfer tubes to be detected;

[0117] A type determination module 220 is used to perform a rotation detection on the wear defective heat transfer tube by a rotating probe to determine the wear defect type corresponding to the wear defective heat transfer tube;

[0118] The wear degree determination module 230 is used to determine the wear degree of the wear defective heat transfer tube according to the wear defect signal data and the wear relationship curve corresponding to the wear defect type.

[0119] Optionally, based on the above embodiment, the wear relationship curve is a relationship curve showing the correlation between the wear degree and the wear defect signal data; each wear defect type corresponds to a wear relationship curve.

[0120] Optionally, based on the above embodiment, the wear degree determination module 230 includes:

[0121] The wear degree determination unit is used to match the wear defect signal data with the wear relationship curve corresponding to the wear defect type to obtain the wear degree of the wear defect heat transfer tube.

[0122] Optionally, based on the above embodiment, the wear degree determination unit includes:

[0123] A data matching subunit, used for matching corresponding curve signal data from a wear relationship curve corresponding to the wear defect type according to the wear defect signal data;

[0124] The wear degree determination subunit is used to determine the wear degree of the wear defective heat transfer tube from the wear relationship curve according to the curve signal data.

[0125] Optionally, based on the above embodiments, the wear defect types include at least: double-sided uniform wear, double-sided wear combining gradual and uniform wear, double-sided gradual wear, single-sided gradual wear and single-sided uniform wear.

[0126] Optionally, based on the above embodiment, the device further includes:

[0127] A data acquisition module, used to acquire sample signal data corresponding to each wear defect type in the heat transfer tube sample set and the sample wear degree represented by the sample signal data;

[0128] The curve determination module is used to determine, for each wear defect type, a wear relationship curve corresponding to the wear defect type according to the sample signal data and the sample wear degree.

[0129] The heat transfer tube wear defect detection device provided in the second embodiment of the present invention can be used to execute the heat transfer tube wear defect detection method provided in any of the above embodiments, and has corresponding functions and beneficial effects.

[0130] Embodiment 3

[0131] Figure 7 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device 10 can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, user equipment, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0132] like Figure 7 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0133] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks, wireless networks.

[0134] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a heat transfer tube wear defect detection method.

[0135] In some embodiments, the heat transfer tube wear defect detection method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the heat transfer tube wear defect detection method in any other appropriate manner (e.g., by means of firmware).

[0136] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0137] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0138] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, 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 foregoing.

[0139] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device 10 having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device 10. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0140] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0141] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0142] An embodiment of the present invention further provides a computer program product, including a computer program, wherein when the computer program is executed by a processor, the method for detecting wear defects of a heat transfer tube according to any embodiment of the present invention is implemented.

[0143] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0144] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting wear defects of heat transfer tubes, characterized in that: include: The heat transfer tube to be inspected is inspected by using an axis-wound probe to determine the wear defective heat transfer tube and the wear defect signal data corresponding to the wear defective heat transfer tube, wherein the wear defective heat transfer tube is the heat transfer tube with wear defect in the heat transfer tube to be inspected; Performing a rotational inspection on the wear defective heat transfer tube by a rotating probe to determine the wear defect type corresponding to the wear defective heat transfer tube; The wear degree of the wear defective heat transfer tube is determined by the wear defect signal data and the wear relationship curve corresponding to the wear defect type.

2. The method according to claim 1, characterized in that The wear relationship curve is a relationship curve showing the correlation between the wear degree and the wear defect signal data; each wear defect type corresponds to a wear relationship curve.

3. The method according to claim 1, characterized in that: The determining the wear degree of the wear defective heat transfer tube by using the wear defect signal data and the wear relationship curve corresponding to the wear defect type includes: The wear defect signal data is matched with the wear relationship curve corresponding to the wear defect type to obtain the wear degree of the wear defect heat transfer tube.

4. The method according to claim 3, characterized in that The matching of the wear defect signal data with the wear relationship curve corresponding to the wear defect type to obtain the wear degree of the wear defect heat transfer tube includes: Matching corresponding curve signal data from the wear relationship curve corresponding to the wear defect type according to the wear defect signal data; The degree of wear of the wear defective heat transfer tube is determined from the wear relationship curve according to the curve signal data.

5. The method according to claim 1, characterized in that The types of wear defects include at least: double-sided uniform wear, double-sided wear combining gradual and uniform wear, double-sided gradual wear, single-sided gradual wear and single-sided uniform wear.

6. The method according to claim 1, characterized in that The method further comprises: Acquire sample signal data corresponding to each wear defect type in the heat transfer tube sample set and the sample wear degree represented by the sample signal data; For each wear defect type, a wear relationship curve corresponding to the wear defect type is determined according to the sample signal data and the sample wear degree.

7. A heat transfer tube wear defect detection device, characterized in that: include: A data determination module is used to detect the heat transfer tube to be detected by using an axially wound probe, and determine the wear defect heat transfer tube and the wear defect signal data corresponding to the wear defect heat transfer tube, wherein the wear defect heat transfer tube is the heat transfer tube with wear defects among the heat transfer tubes to be detected; A type determination module, used to perform a rotation detection on the wear defective heat transfer tube by a rotating probe to determine the wear defect type corresponding to the wear defective heat transfer tube; The wear degree determination module is used to determine the wear degree of the wear defect heat transfer tube according to the wear defect signal data and the wear relationship curve corresponding to the wear defect type.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the heat transfer tube wear defect detection method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the heat transfer tube wear defect detection method according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the computer program implements the heat transfer tube wear defect detection method according to any one of claims 1 to 6.

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