Steel-plastic composite pipe sealing detection method, device, processor and storage medium based on electric spark detection device

Abstract

The present invention relates to the technical field of sealing detection, and specifically discloses a steel-plastic composite pipe sealing detection method, device, processor and storage medium based on an electric spark detection device, the method comprising: determining the expected thickness and minimum thickness of the steel-plastic composite pipe sealing layer; determining the first breakdown voltage of the electric spark detection device corresponding to the expected thickness and the second breakdown voltage corresponding to the minimum thickness; performing a first sealing scanning operation on the sealing layer of the steel-plastic composite pipe according to the first breakdown voltage based on the electric spark detection device to obtain a first scanning result; judging whether there is a sealing deviation in the sealing layer based on the first scanning result; if so, performing a second sealing scanning operation on the sealing layer according to the second breakdown voltage based on the electric spark detection device to obtain a second scanning result. By reversely applying the detection principle of the existing electric spark detection device, accurate detection of the sealing layer is achieved, the reliability of the sealing detection result is improved, and the actual needs of the enterprise are met.

Description

Technical Field

[0001] The present invention relates to the technical field of sealing detection, and in particular to a steel-plastic composite pipe sealing detection method based on an electric spark detection device, a steel-plastic composite pipe sealing detection device based on an electric spark detection device, a processor and a computer-readable storage medium. Background Art

[0002] During construction operations, pipes are often needed. In general usage scenarios, metal pipes or plastic pipes can meet actual needs. However, in some usage scenarios with corrosiveness and high pulling force, traditional pipes cannot meet usage requirements. Therefore, technicians propose the use of steel-plastic composite pipes.

[0003] After the steel-plastic composite pipe is manufactured, in order to protect the reliability of the steel-plastic composite pipe and prevent corrosive liquids from penetrating into the middle layer and causing corrosion to the steel belt during use, it is necessary to perform sealing treatment on it. After sealing, it is necessary to perform sealing inspection on it to ensure its sealing effect.

[0004] In the existing sealing detection process, the existing electric spark detection device is used for detection. Specifically, a person holds the electric spark detection device close to the pipe mouth of the steel-plastic composite pipe and moves it continuously to perform sealing detection on all the pipe mouth positions of the steel-plastic composite pipe. If there are defects such as bubbles or unsealed holes at a certain sealing position, an electric arc will be generated and an alarm will be issued to the technician.

[0005] However, the existing manual inspection methods, on the one hand, are highly subjective, and technicians may not scan comprehensively, resulting in missed inspections of some areas; on the other hand, the manual inspection methods are very inefficient and cannot meet the actual operational needs of the enterprise; at the same time, the enterprise hopes not only to detect whether there are defects in the steel-plastic composite pipe, but also to obtain more detailed sealing data to improve its sealing process and reduce costs, but the existing technology cannot meet the actual application requirements. Summary of the invention

[0006] In order to overcome the above-mentioned technical problems existing in the prior art, the embodiments of the present invention provide a steel-plastic composite pipe sealing detection method, device, processor and storage medium based on an electric spark detection device. By reversely applying the detection principle of the existing electric spark detection device, accurate detection of the sealing layer can be achieved, thereby improving the reliability of the sealing detection results and meeting the actual needs of the enterprise.

[0007] In order to achieve the above-mentioned objectives, an embodiment of the present invention provides a steel-plastic composite pipe sealing detection method based on an electric spark detection device, the method comprising: determining the expected thickness and the minimum thickness of the sealing layer of the steel-plastic composite pipe; determining a first breakdown voltage of the electric spark detection device corresponding to the expected thickness and a second breakdown voltage corresponding to the minimum thickness; performing a first sealing scanning operation on the sealing layer of the steel-plastic composite pipe according to the first breakdown voltage based on the electric spark detection device to obtain a first scanning result; judging whether there is a sealing deviation in the sealing layer based on the first scanning result; if so, performing a second sealing scanning operation on the sealing layer according to the second breakdown voltage based on the electric spark detection device to obtain a second scanning result.

[0008] Preferably, the electric spark detection device includes a scanning head, and the method further includes: after performing the first scanning operation, obtaining the scanning path of the first sealing scanning operation; obtaining the detection height of the scanning head on the scanning path; determining the corresponding effective scanning area based on the scanning path and the detection height; judging whether there is a missed inspection area for the sealing layer based on the effective scanning area; if so, performing a supplementary scan for the missed inspection area to generate a first scanning result; otherwise, generating a first scanning result.

[0009] Preferably, the method also includes: judging whether there is a sealing defect in the sealing layer based on the second scanning result; if so, obtaining the defect point where the sealing defect exists; performing merging processing on the defect point to generate a defect area; performing a step-down scanning operation on the defect area to obtain a step-down scanning result; and determining the sealing thickness distribution information of the defect area based on the step-down scanning result.

[0010] Preferably, the determining of the sealing thickness distribution information of the defective area based on the voltage reduction scanning result includes: determining the critical voltage of the defective area at each scanning point based on the voltage reduction scanning result; determining the sealing thickness corresponding to each critical voltage; generating a defect thickness equipotential map of the defective area based on the sealing thickness; and performing correction processing on the defect thickness equipotential map to generate the sealing thickness distribution information of the defective area.

[0011] Preferably, the method also includes: generating an overall sealing thickness equipotential map of the sealing layer based on the first scanning result, the second scanning result and the sealing thickness distribution information; performing smoothing on the overall sealing thickness equipotential map to generate a smoothed equipotential map; performing recessed area extraction on the smoothed equipotential map to obtain at least one recessed area; determining the absolute distribution position of each recessed area; performing sealing process defect analysis based on the recessed areas and the corresponding absolute distribution positions to generate a process defect analysis result.

[0012] Preferably, the method also includes: after generating the overall sealing thickness isopotential map, obtaining the scanning head height; determining the suspended detection segment and the corresponding suspended detection height based on the scanning head height and the detection height; determining the additional impedance corresponding to the suspended detection height; performing thickness optimization processing on the suspended detection segment of the overall sealing thickness isopotential map based on the additional impedance to generate an optimized overall sealing thickness isopotential map.

[0013] Correspondingly, the present invention also provides a steel-plastic composite pipe sealing detection device based on an electric spark detection device, the device comprising: a thickness determination unit, used to determine the expected thickness and minimum thickness of the sealing layer of the steel-plastic composite pipe; a voltage determination unit, used to determine the first breakdown voltage of the electric spark detection device corresponding to the expected thickness and the second breakdown voltage corresponding to the minimum thickness; a first scanning unit, used to perform a first sealing scanning operation on the sealing layer of the steel-plastic composite pipe based on the electric spark detection device according to the first breakdown voltage, and obtain a first scanning result; a judgment unit, used to judge whether there is a sealing deviation in the sealing layer based on the first scanning result; a second scanning unit, used to perform a second sealing scanning operation on the sealing layer based on the electric spark detection device according to the second breakdown voltage, and obtain a second scanning result in the presence of the sealing deviation.

[0014] Preferably, the device also includes a thickness information generating unit, which is specifically used to: determine whether the sealing layer has a sealing defect based on the second scanning result; if so, obtain the defect point where the sealing defect exists; perform merging processing on the defect point to generate a defect area; perform a step-down scanning operation on the defect area to obtain a step-down scanning result; and determine the sealing thickness distribution information of the defect area based on the step-down scanning result.

[0015] On the other hand, the present invention further provides a processor for running a program, wherein the program, when being run, is used to execute the method described in the embodiment of the present invention.

[0016] On the other hand, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the method provided by the present invention when the program is executed by a processor.

[0017] Through the technical solution provided by the present invention, the present invention has at least the following technical effects:

[0018] By reversely applying the detection principle of the existing electric spark detection device and quickly and automatically detecting the critical breakdown voltage at different positions on the sealing layer, the actual thickness distribution of the sealing layer at any position can be quickly and accurately calculated. This not only can accurately detect whether the sealing effect of the sealing layer meets the actual requirements, but also can provide effective data support for the subsequent sealing process optimization, thereby improving the sealing accuracy and reliability. At the same time, there is no need for enterprises to configure additional testing equipment or high-cost testing equipment, thereby reducing the cost of function implementation.

[0019] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0021] Figure 1 This is a specific implementation flow chart of the steel-plastic composite pipe sealing detection method based on the electric spark detection device provided in an embodiment of the present invention;

[0022] Figure 2 It is a structural schematic diagram of a steel-plastic composite pipe sealing detection device based on an electric spark detection device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0024] The terms "system" and "network" in the embodiments of the present invention can be used interchangeably. "Multiple" means two or more than two. In view of this, "multiple" can also be understood as "at least two" in the embodiments of the present invention. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / ", unless otherwise specified, generally indicates that the previous and subsequent associated objects are in an "or" relationship. In addition, it should be understood that in the description of the embodiments of the present invention, the words "first", "second", etc. are only used to distinguish the purpose of description, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying order.

[0025] The background technology of the present invention is introduced below.

[0026] When testing the sealing properties of the sealing layer of the steel-plastic composite pipe, current enterprises often directly purchase existing spark detection devices, such as using a commonly used spark detector that can be used to detect sealing properties. The spark detector includes a high-voltage generator and a brush head. During the test, the brush head is manually brushed on the sealing layer to detect whether there are pinholes, sand holes, bubbles and other defects in the area passed. However, in actual application, different people use the spark detector with subjective deviations, resulting in deviations in the detection effect. At the same time, during the production process, the operator cannot confirm whether they have scanned and inspected all areas of the sealing layer, so there are areas that are missed, and higher detection accuracy requirements cannot be met. On the other hand, enterprises expect to meet the needs of higher-precision detection without configuring higher-cost and more complex operating equipment.

[0027] In order to solve the above technical problems and achieve the above technical effects, please refer to Figure 1 The embodiment of the present invention provides a steel-plastic composite pipe sealing detection method based on an electric spark detection device, the method comprising:

[0028] S10: Determine the expected thickness and minimum thickness of the sealing layer of the steel-plastic composite pipe;

[0029] S20: determining a first breakdown voltage of the electric spark detection device corresponding to the desired thickness and a second breakdown voltage corresponding to the minimum thickness;

[0030] S30: performing a first sealing scanning operation on the sealing layer of the steel-plastic composite pipe according to the first breakdown voltage based on the electric spark detection device to obtain a first scanning result;

[0031] S40: judging whether there is a sealing deviation in the sealing layer based on the first scanning result;

[0032] S50: In the case of a sealing deviation, performing a second sealing scanning operation on the sealing layer according to the second breakdown voltage based on the electric spark detection device to obtain a second scanning result.

[0033] In a possible implementation, the sealing detection principle of the electric spark detection device can be used and applied in reverse to obtain a higher accuracy detection effect without adding additional costs or configuring additional equipment. Specifically, since there is a steel strip layer in the steel-plastic composite pipe, the electric spark detection device can generate an arc when a critical voltage (such as 5kv) is applied, and the technical principle that different critical voltages exist for sealing layers of different thicknesses can be used to accurately detect the sealing thickness.

[0034] In an embodiment of the present invention, when performing a sealing test, the expected thickness and minimum thickness of the sealing layer of the steel-plastic composite pipe are first determined. For example, the expected thickness is the optimal sealing thickness determined by the enterprise according to relevant standards and manufacturing processes. However, during the sealing process, deviations are inevitable, resulting in varying degrees of changes in the sealing thickness. In order to avoid a situation where the sealing thickness is too small, a minimum thickness can be further set. When the thickness of the sealing layer is lower than the minimum thickness, it is considered that the requirements of the actual sealing process or relevant standards are not met, and additional sealing or resealing is required.

[0035] At this time, the first breakdown voltage that can break through the corresponding sealing layer can be determined according to the material type of the sealing layer combined with the expected thickness, and the second breakdown voltage that can break through the sealing layer with the lowest thickness can be determined in combination with the minimum thickness. In the actual detection process, if the thickness of the sealing layer is greater than or equal to the expected thickness, the electric spark detection device that applies the first breakdown voltage will not generate an arc when scanning the sealing layer (i.e., performing the first sealing scanning operation). Otherwise, the sealing layer will be broken through and an arc will be generated. At this time, the electric spark detection device will generate an alarm signal. By collecting the alarm signal, it can be determined whether a breakdown current is generated under the currently applied voltage, and further obtain the thickness information of the sealing layer at the current position.

[0036] In one embodiment, after the electric spark detection device performs a first sealing scanning operation on the sealing layer of the steel-plastic composite pipe according to the first breakdown voltage, a first scanning result is obtained. At this time, it is judged whether there is a sealing deviation in the sealing layer according to the first scanning result, that is, it is judged whether the thickness of all areas of the sealing layer is greater than or equal to the expected thickness. If it is greater than or equal to the expected thickness, it is determined that the sealing of the sealing layer meets the actual process requirements, and a qualified sealing test result is output.

[0037] If there is an area with a thickness less than the expected thickness, it can be determined that the sealing layer has a sealing deviation. Therefore, the electric spark detection device is immediately used to perform a second sealing scanning operation on the sealing layer according to the second breakdown voltage, and a second scanning result is obtained. Based on the second scanning result, a more accurate detection result of the sealing of the sealing layer can be determined. For example, after an arc is detected in a certain area, it can be determined that there is at least a sealing layer with a thickness lower than the minimum thickness in the area. Even if there are no pinholes or bubbles in the area, it still cannot meet the actual requirements, so corresponding remedial measures need to be taken.

[0038] In the embodiment of the present invention, by reversely applying the detection principle of the electric spark detection device, not only can the pinholes and bubbles in the sealing layer be detected, but also the areas where the sealing thickness does not meet the actual requirements can be further identified, thereby effectively improving the detection accuracy of the sealing layer, effectively ensuring the service life of the subsequent steel-plastic composite pipe, and improving the user experience.

[0039] However, in actual application, the spark detection device is often scanned by technicians by hand, which may lead to subjective bias and missed detection.

[0040] In order to overcome the above-mentioned technical problems, in an embodiment of the present invention, the electric spark detection device includes a scanning head, and the method also includes: after performing the first scanning operation, obtaining the scanning path of the first sealing scanning operation; obtaining the detection height of the scanning head on the scanning path; determining the corresponding effective scanning area based on the scanning path and the detection height; judging whether there is a missed detection area for the sealing layer based on the effective scanning area; if so, performing a supplementary scan for the missed detection area to generate a first scanning result; otherwise, generating a first scanning result.

[0041] In one possible implementation, after performing the first scanning operation and obtaining preliminary scanning results, a scanning path of the first sealing scanning operation is further obtained. For example, in one embodiment, a 6-axis or 9-axis sensor can be configured on the electric spark detection device, and an existing path generation algorithm can be used to generate the scanning path of the electric spark detection device in real time. Furthermore, since the electric spark detection device utilizes the principle of potential induction and applies high voltage to the scanning head, an arc will be generated when the thickness of the sealing layer in any direction of the three-dimensional space where the scanning head is located is lower than the breakdown voltage. Therefore, in compliance operation, when the scanning head is attached to the surface of the sealing layer for scanning, once the thickness of the sealing layer near the scanning head is lower than the thickness corresponding to the breakdown voltage, an arc will be generated immediately.

[0042] However, in actual operation, since the sealing layer needs to be scanned in three-dimensional space, technicians may suspend the scanning head and the sealing layer in the air during manual operation, thereby increasing additional air impedance, resulting in a deviation between its breakdown voltage and actual thickness, and reducing the detection accuracy. Therefore, in order to ensure sufficient detection accuracy, it is also necessary to detect the detection height of the scanning head on the scanning path in real time, such as by setting a distance sensor, such as a photoelectric sensor, on the surface of the scanning head facing the steel-plastic composite pipe to collect the detection height in real time.

[0043] At this time, the actual effective scanning area can be determined according to the scanning path and the detection height. Specifically, when the detection height is lower than the standard height, the scanning head must be in contact with the surface of the sealing layer, so the relationship between the thickness of the sealing layer and the breakdown voltage remains unchanged; when the detection height is higher than the standard height, there must be air between the scanning head and the surface of the sealing layer. At this time, after calculating the air impedance and performing additional analysis on the breakdown voltage, the actual effective scanning area can be determined. Based on the effective scanning area, it can be determined whether there is a missed detection area. If there is a missed detection area, the technician is prompted to perform a supplementary scan on the missed detection area to perform a complete and standardized scan of the sealing layer and generate a first scanning result. If there is no missed detection area, the corresponding first scanning result can be directly generated.

[0044] In an embodiment of the present invention, by collecting the scanning height of the electric spark detection device in real time during use, it is possible to effectively detect the situation where the scanning head is suspended during human operation, avoid detection omissions, improve detection accuracy, and ensure the reliability of detection results.

[0045] In actual application, technicians hope to know not only whether the thickness of the sealing layer meets the actual requirements, but also the actual thickness distribution of the sealing layer, so as to analyze and improve the sealing process and improve the sealing effect.

[0046] In an embodiment of the present invention, the method also includes: judging whether there is a sealing defect in the sealing layer based on the second scanning result; if so, obtaining the defect point where the sealing defect exists; performing merging processing on the defect point to generate a defect area; performing a step-down scanning operation on the defect area to obtain a step-down scanning result; and determining the sealing thickness distribution information of the defect area based on the step-down scanning result.

[0047] In one possible implementation, after obtaining the second scanning structure, it is determined whether the sealing layer has a sealing defect based on the second scanning result. For example, in this embodiment, it is found that there are multiple defect points with sealing defects, so they are first merged to generate a defect area, and then the defect area is subjected to a voltage reduction scanning operation to obtain the voltage reduction scanning result. Specifically, for example, if the second breakdown voltage is 1.8kv, the defect area is repeatedly scanned by automatically and gradually reducing the breakdown voltage. For example, it is scanned with breakdown voltages of 1.7kv, 1.6kv, 1.5kv... in sequence until no arc is generated, and the actual thickness of the defect area can be determined. Of course, in order to improve the detection efficiency, technicians can adopt appropriate voltage reduction strategies according to actual needs, such as reducing the voltage by 0.2kv each time for step-by-step detection; for another example, the minimum breakdown voltage can be set to 0.5kv and no longer reduced. If an arc is still generated based on the minimum breakdown voltage, it can be directly considered that there is no sealing layer in the area (for example, the presence of pinholes, bubbles, etc. are all considered to be the absence of a sealing layer in the area). No further details will be given here. After performing the above-mentioned pressure reduction scan, the sealing thickness distribution information of the defective area is determined.

[0048] Furthermore, in an embodiment of the present invention, the method of determining the sealing thickness distribution information of the defective area based on the voltage reduction scanning result includes: determining the critical voltage of the defective area at each scanning point based on the voltage reduction scanning result; determining the sealing thickness corresponding to each critical voltage; generating a defect thickness equipotential map of the defective area based on the sealing thickness; and performing correction processing on the defect thickness equipotential map to generate the sealing thickness distribution information of the defective area.

[0049] In a possible implementation, in the original depressurization scanning result, the obtained sealing thickness distribution information is information generated in the form of multiple data points, which has very poor readability and cannot meet the needs of on-site technicians for quick viewing and analysis. Therefore, after obtaining the critical voltage of the defective area at each scanning point, the corresponding sealing thickness is further determined, and then the corresponding defect thickness equipotential map is automatically drawn according to the sealing thickness. Furthermore, since the scanning head performs potential sensing on the sealing layer in any direction in the three-dimensional space, the sealing thickness detected at a certain point may not represent the actual sealing thickness of the point. Therefore, it is also necessary to correct the defect thickness equipotential map in combination with the actual physical characteristics of extreme sealing defects such as the continuity and pinholes of the sealing layer. For example, for the gradual change of the breakdown voltage, the corresponding continuity adjustment is made to the thickness equipotential map; for the sudden decrease of the breakdown voltage, the thickness equipotential map within a certain range of the point and its surroundings is adjusted to the extreme thickness (the gradually reduced sealing thickness is adjusted to the point where the sealing layer is missing, but the sealing thickness near the point remains the same) to generate a more accurate sealing thickness equipotential map, and finally generate the visual sealing thickness distribution information of the defective area according to the sealing thickness equipotential map.

[0050] In an embodiment of the present invention, by visually transforming and correcting the sealing thickness distribution information, visual and more accurate sealing thickness distribution information is provided to technicians, which facilitates technicians to quickly determine defects, improves work efficiency, and improves the accuracy of sealing analysis.

[0051] In an embodiment of the present invention, the method also includes: generating an overall sealing thickness equipotential map of the sealing layer based on the first scanning result, the second scanning result and the sealing thickness distribution information; performing smoothing on the overall sealing thickness equipotential map to generate a smoothed equipotential map; performing recessed area extraction on the smoothed equipotential map to obtain at least one recessed area; determining the absolute distribution position of each recessed area; performing sealing process defect analysis based on the recessed area and the corresponding absolute distribution position to generate a process defect analysis result.

[0052] In a possible implementation, after the sealing thickness distribution information of the defective area is generated, the first scanning result and the second scanning result are further combined to generate an overall sealing thickness isopotential map for the entire sealing layer. In actual application, the technician may separate the scanning head from the surface of the sealing layer during the scanning process, that is, the scanning is suspended in the air, but the technician himself cannot detect it, which affects the detection accuracy.

[0053] In order to solve the above technical problems, in an embodiment of the present invention, the method also includes: after generating the overall sealing thickness isopotential map, obtaining the scanning head height; determining the suspension detection segment and the corresponding suspension detection height based on the scanning head height and the detection height; determining the additional impedance corresponding to the suspension detection height; performing thickness optimization processing on the suspension detection segment of the overall sealing thickness isopotential map based on the additional impedance to generate an optimized overall sealing thickness isopotential map.

[0054] In a possible implementation, after generating the overall sealing thickness equipotential map, the scanning head height is further obtained. Based on the scanning head height and the detection height, it can be determined whether the electric spark detection device is suspended during use, and the suspended detection section and the corresponding suspended detection height can be further determined. At this time, the additional impedance corresponding to the increased air height in the suspended detection section can be calculated based on the suspended detection height. Based on the additional impedance, the sealing thickness of the overall sealing thickness equipotential map in the suspended detection section can be optimized to generate a more accurate overall sealing thickness equipotential map.

[0055] Furthermore, since the sealing layer is often a composite material, the surface should be smooth after the composite material is heated to a fluid shape and arranged in the sealing area during the sealing process. Based on this, the overall sealing thickness equipotential map is smoothed to obtain a smoothed equipotential map that is more in line with the actual distribution of the sealing layer, and then at least one recessed area is extracted from it, and the absolute distribution position of each recessed area on the steel-plastic composite pipe is determined. The sealing process is defectively analyzed based on the above-mentioned recessed areas and the corresponding absolute distribution positions, and the corresponding process defect analysis results are generated. For example, the defective areas and absolute distribution positions of multiple steel-plastic composite pipes can be subjected to big data analysis to determine the common defects and occasional defects in the sealing process, and to conduct targeted process analysis and optimization, thereby improving the sealing reliability in subsequent sealing processes.

[0056] See also Figure 2Based on the same inventive concept, an embodiment of the present invention provides a steel-plastic composite pipe sealing detection device based on an electric spark detection device, the device comprising: a thickness determination unit, used to determine the expected thickness and minimum thickness of the sealing layer of the steel-plastic composite pipe; a voltage determination unit, used to determine the first breakdown voltage of the electric spark detection device corresponding to the expected thickness and the second breakdown voltage corresponding to the minimum thickness; a first scanning unit, used to perform a first sealing scanning operation on the sealing layer of the steel-plastic composite pipe according to the first breakdown voltage based on the electric spark detection device, and obtain a first scanning result; a judgment unit, used to judge whether there is a sealing deviation in the sealing layer based on the first scanning result; a second scanning unit, used to perform a second sealing scanning operation on the sealing layer according to the second breakdown voltage based on the electric spark detection device in the case of the presence of the sealing deviation, and obtain a second scanning result.

[0057] In an embodiment of the present invention, the device also includes a thickness information generating unit, which is specifically used to: determine whether the sealing layer has a sealing defect based on the second scanning result; if so, obtain the defect point where the sealing defect exists; perform merging processing on the defect point to generate a defect area; perform a step-down scanning operation on the defect area to obtain a step-down scanning result; and determine the sealing thickness distribution information of the defect area based on the step-down scanning result.

[0058] Furthermore, an embodiment of the present invention further provides a processor for running a program, wherein the program, when being run, is used to execute the method described in the embodiment of the present invention.

[0059] Furthermore, an embodiment of the present invention also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method described in the embodiment of the present invention is implemented.

[0060] The optional implementation modes of the embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above implementation modes. Within the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical scheme of the embodiments of the present invention, and these simple modifications all belong to the protection scope of the embodiments of the present invention.

[0061] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0062] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions to enable a single-chip microcomputer, a chip or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0063] In addition, various implementation modes of the embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed by the embodiments of the present invention.

Claims

1. A steel-plastic composite pipe sealing detection method based on an electric spark detection device, characterized in that: The method comprises: Determine the expected and minimum thickness of the sealing layer of the steel-plastic composite pipe; Determining a first breakdown voltage of an electric spark detection device corresponding to the desired thickness and a second breakdown voltage corresponding to the minimum thickness; Based on the electric spark detection device, performing a first sealing scanning operation on the sealing layer of the steel-plastic composite pipe according to the first breakdown voltage to obtain a first scanning result; determining whether there is a sealing deviation in the sealing layer based on the first scanning result; If yes, performing a second sealing scanning operation on the sealing layer according to the second breakdown voltage based on the electric spark detection device to obtain a second scanning result; The method further comprises: determining whether the sealing layer has a sealing defect based on the second scanning result; If yes, obtaining the defect point where the sealing defect exists; Performing merging processing on the defect points to generate a defect area; Performing a voltage reduction scanning operation on the defective area to obtain a voltage reduction scanning result; The sealing thickness distribution information of the defective area is determined based on the pressure reduction scanning result.

2. The method according to claim 1, characterized in that The electric spark detection device includes a scanning head, and the method further includes: After performing the first scanning operation, obtaining a scanning path of the first sealing scanning operation; Acquire a detection height of the scanning head on the scanning path; Determine a corresponding effective scanning area based on the scanning path and the detection height; Determining whether there is a missed inspection area for the sealing layer based on the effective scanning area; If so, performing a supplementary scan on the missed-detection area to generate a first scanning result; Otherwise, a first scanning result is generated.

3. The method according to claim 2, characterized in that The determining the sealing thickness distribution information of the defective area based on the pressure reduction scanning result includes: Determine the critical voltage of the defective region at each scanning point based on the voltage reduction scanning result; determining a seal thickness corresponding to each critical voltage; generating a defect thickness contour map of the defect region based on the seal thickness; Correction processing is performed on the defect thickness contour map to generate sealing thickness distribution information of the defect area.

4. The method according to claim 3, characterized in that The method further comprises: generating an overall sealing thickness contour map of the sealing layer based on the first scanning result, the second scanning result and the sealing thickness distribution information; Performing smoothing on the overall sealing thickness contour map to generate a smoothed contour map; Performing concave region extraction on the smoothed equipotential map to obtain at least one concave region; Determine the absolute distribution position of each concave area; A sealing process defect analysis is performed based on the recessed area and the corresponding absolute distribution position to generate a process defect analysis result.

5. The method according to claim 4, characterized in that The method further comprises: After generating the overall seal thickness contour map, obtaining the scanning head height; Determine a suspended detection section and a corresponding suspended detection height based on the scanning head height and the detection height; Determining an additional impedance corresponding to the suspension detection height; The thickness of the suspended detection section of the overall sealing thickness contour map is optimized based on the additional impedance to generate an optimized overall sealing thickness contour map.

6. A steel-plastic composite pipe sealing detection device based on an electric spark detection device, characterized in that: The device comprises: Thickness determination unit, used to determine the expected thickness and minimum thickness of the sealing layer of the steel-plastic composite pipe; a voltage determination unit, used to determine a first breakdown voltage of the electric spark detection device corresponding to the expected thickness and a second breakdown voltage corresponding to the minimum thickness; A first scanning unit, configured to perform a first sealing scanning operation on the sealing layer of the steel-plastic composite pipe according to the first breakdown voltage based on the electric spark detection device, to obtain a first scanning result; A judging unit, configured to judge whether there is a sealing deviation in the sealing layer based on the first scanning result; A second scanning unit is used for performing a second sealing scanning operation on the sealing layer based on the electric spark detection device according to the second breakdown voltage to obtain a second scanning result when the sealing deviation exists; The device further includes a thickness information generating unit, and the thickness information generating unit is specifically used for: determining whether the sealing layer has a sealing defect based on the second scanning result; If yes, obtaining the defect point where the sealing defect exists; Performing merging processing on the defect points to generate a defect area; Performing a voltage reduction scanning operation on the defective area to obtain a voltage reduction scanning result; The sealing thickness distribution information of the defective area is determined based on the pressure reduction scanning result.

7. A processor, characterized in that: Used to run a program, wherein the program is used to execute the method according to any one of claims 1 to 5 when run.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method described in any one of claims 1 to 5 is implemented.

Images