Ultrasonic scanning method for detecting defects in magnesium oxide coating

Abstract

The present application relates to the technical field of magnesium oxide coating, and particularly relates to a magnesium oxide coating adhesion defect ultrasonic scanning detection method, which comprises the following steps: obtaining substrate surface state data and coating equipment operation data during the coating process, and simultaneously obtaining ultrasonic scanning data; analyzing the weak adhesion susceptibility distribution of the substrate surface, and determining the equipment disturbance period and disturbance risk window; extracting ultrasonic abnormal response segments, extracting ultrasonic abnormal periods through the distribution of each ultrasonic abnormal response segment along the strip steel length direction, and evaluating the cycle phase consistency of each ultrasonic abnormal response segment; evaluating the cycle recurrence consistency of each ultrasonic abnormal response segment; coupling the adhesion defect risk of each ultrasonic abnormal response segment, and performing magnesium oxide coating adhesion defect warning according to the adhesion defect risk. The present application quantifies the cycle phase consistency and cycle recurrence consistency of the magnesium oxide coating adhesion defect, and effectively improves the accuracy and reliability of defect detection.

Description

Technical Field

[0001] This invention relates to the field of magnesium oxide coating technology, and more particularly to an ultrasonic scanning method for detecting adhesion defects in magnesium oxide coatings. Background Technology

[0002] Magnesium oxide coatings are widely used in the surface treatment of metal substrates such as silicon steel strips, playing a crucial role in subsequent high-temperature annealing, isolation and anti-sticking, interfacial reactions, and coating protection. The adhesion quality between the magnesium oxide coating and the substrate directly determines the reliability of the finished product. Therefore, accurately detecting adhesion defects in the magnesium oxide coating during the coating and drying processes is of great significance for process control and product quality management.

[0003] Ultrasonic scanning inspection technology has become a common method for coating defect detection due to its non-contact and online integration characteristics. Existing ultrasonic scanning inspection methods mainly determine whether there are defects such as debonding, bubbles, or abnormal thickness between the magnesium oxide coating and the substrate by analyzing the characteristic parameters of ultrasonic reflection or transmission signals. However, existing technologies generally focus on the independent analysis and threshold determination of the ultrasonic signal itself, failing to systematically link the upstream process factors that cause defects.

[0004] In the actual magnesium oxide coating process, the formation of coating adhesion defects is not entirely random. The wetting state and microstructure of the substrate surface before coating affect the spreading ability and interfacial contact state of the magnesium oxide coating solution on the substrate surface. When the magnesium oxide coating solution is insufficiently wetted at certain locations on the substrate, weak interfacial bonding areas are more likely to form at those locations. At the same time, the coating equipment may generate periodic disturbances during continuous operation, such as local wear of the coating roller, particles adhering to the roller surface, and roller surface vibration. These periodic disturbances will form repetitive positions along the length of the strip as it runs, causing the adhesion defects to exhibit a certain periodic distribution characteristic.

[0005] Existing ultrasonic testing methods ignore the susceptibility of weak adhesion to the substrate surface before magnesium oxide coating and the influence of periodic disturbances in the coating equipment on the location of defect formation. This makes it impossible to distinguish between ultrasonic anomalies caused by the true weak bonding at the coating-substrate interface and false anomalies caused by poor coupling in the testing process, occasional noise, or local contact instability, thus reducing the accuracy of magnesium oxide coating adhesion defect detection. Summary of the Invention

[0006] To overcome the defects and shortcomings of existing technologies, this invention provides an ultrasonic scanning detection method for magnesium oxide coating adhesion defects. By quantifying the periodic phase consistency and periodic recurrence consistency of magnesium oxide coating adhesion defects, the accuracy and reliability of defect detection are effectively improved.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides an ultrasonic scanning detection method for magnesium oxide coating adhesion defects, comprising: Acquire substrate surface condition data before magnesium oxide coating and coating equipment operation data during the coating process, and simultaneously acquire ultrasonic scanning data; Based on the analysis of substrate surface condition data, the distribution of weak adhesion susceptibility on the substrate surface is analyzed. Based on the analysis of coating equipment operation data, the position of the periodic disturbance of the coating equipment in the strip length direction is analyzed to determine the equipment disturbance cycle and disturbance risk window during the magnesium oxide coating process. Ultrasonic abnormal response segments are extracted from ultrasonic scanning data. The ultrasonic abnormal period is extracted from the distribution of each ultrasonic abnormal response segment along the length of the strip. The ultrasonic abnormal period is matched with the equipment disturbance period to evaluate the period phase consistency of each ultrasonic abnormal response segment. The consistency of periodic recurrence of each ultrasonic abnormal response segment was evaluated by performing similarity analysis on ultrasonic abnormal response segments within the disturbance risk window. The susceptibility of weak adhesion to the substrate surface is used as the basic risk of adhesion defects in magnesium oxide coatings. Combined with periodic phase consistency and periodic recurrence consistency, the adhesion defect risk of each ultrasonic abnormal response segment is evaluated, and an alarm for magnesium oxide coating adhesion defects is issued based on the adhesion defect risk.

[0008] Furthermore, the analysis of the distribution of weak adhesion susceptibility on the substrate surface based on substrate surface state data includes: A two-dimensional coordinate system for the substrate surface is established with respect to the length and width of the strip, and the substrate surface condition data is mapped to the two-dimensional coordinate system for the substrate surface. The wetting angles of the magnesium oxide coating solution at each detection location on the substrate surface were extracted to characterize the spreading ability of the magnesium oxide coating solution on the substrate surface. Calculate the wetting angle offset between the wetting angle corresponding to each detection position and the wetting angle reference value. When the wetting angle is greater than the wetting angle reference value, the difference between the wetting angle and the wetting angle reference value is taken as the wetting angle offset. When the wetting angle is less than or equal to the wetting angle reference value, the wetting angle offset is 0. The normalized wetting angle offset is used as the susceptibility of weak adhesion to the substrate surface at each detection location, which is used to characterize the degree of possibility of weak interfacial bonding between the magnesium oxide coating and the substrate at different detection locations.

[0009] Furthermore, determining the equipment disturbance cycle and disturbance risk window during the magnesium oxide coating process includes: Acquire coating equipment operation data, which includes periodic disturbance signals of the coating equipment, strip running speed, and initial phase of equipment disturbance; The time period of the periodic disturbance of the coating equipment is determined based on the interval between adjacent disturbance peaks of the periodic disturbance signal of the coating equipment. The periodic disturbance signal of the coating equipment includes the coating roller rotation signal, the roller pressure fluctuation signal, and the roller surface vibration signal. The product of the time period and the strip running speed is taken as the equipment disturbance period of the periodic disturbance of the coating equipment in the strip length direction, which is used to characterize the interval of the repeated occurrence of the periodic disturbance of the coating equipment in the strip length direction. The disturbance risk window during the magnesium oxide coating process is determined based on the initial phase and period of the equipment disturbance, which is used to characterize the spatial location range of magnesium oxide coating adhesion defects induced by periodic disturbances of the coating equipment.

[0010] Furthermore, determining the disturbance risk window during the magnesium oxide coating process based on the initial phase and period of the equipment disturbance includes: The initial action time of the periodic disturbance of the coating equipment is determined based on the initial phase of the equipment disturbance; Taking the start time of strip running as the starting point of integration, the strip running speed is integrated between the start time of strip running and the initial action time to obtain the initial action position of the periodic disturbance of the coating equipment in the strip length direction; Based on the initial action position and the equipment disturbance period, determine the periodic action position of the coating equipment's periodic disturbance along the strip length direction; The window extension length is determined based on the average fluctuation amplitude of the strip running speed, and the corresponding disturbance risk window is determined with the position of each cycle as the center and the window extension length as the boundary range.

[0011] Furthermore, the assessment of the periodic phase consistency of each abnormal ultrasound response segment includes: Based on the start and end positions of each ultrasonic abnormal response segment in the ultrasonic scanning data, the ultrasonic abnormal position of each ultrasonic abnormal response segment in the strip length direction is determined. The ultrasonic anomaly locations are sorted according to the length of the strip to construct an ultrasonic anomaly location sequence. Based on the length interval between adjacent ultrasonic anomaly locations in the ultrasonic anomaly location sequence, the ultrasonic anomaly period of each ultrasonic anomaly response segment is extracted. The maximum value between the ultrasonic abnormality period and the equipment disturbance period is taken as the reference period, and the ratio of the difference between the ultrasonic abnormality period and the equipment disturbance period to the reference period is taken as the period deviation of each ultrasonic abnormality response segment. Calculate the positional deviation between the ultrasonic anomaly location and the nearest periodic action location for each ultrasonic anomaly response segment, and use the ratio of the positional deviation to the window expansion length corresponding to the disturbance risk window as the phase deviation degree of each ultrasonic anomaly response segment. The periodic phase deviation is obtained by weighted summation of the periodic deviation and the phase deviation, and the difference between the value 1 and the periodic phase deviation is taken as the periodic phase consistency of each ultrasound abnormal response segment.

[0012] Furthermore, the assessment of the periodic recurrence consistency of each ultrasound abnormality response segment includes: Based on the position range of each disturbance risk window along the strip length, extract the ultrasonic abnormal response segments from the ultrasonic scanning data that fall within each disturbance risk window; By normalizing the length and amplitude of each ultrasonic abnormal response segment, the normalized abnormal waveform corresponding to each ultrasonic abnormal response segment is obtained. The normalized abnormal waveforms within all disturbance risk windows are averaged to obtain the baseline abnormal waveform, and the cosine similarity between each normalized abnormal waveform and the baseline abnormal waveform is used as the periodic recurrence consistency of each ultrasonic abnormal response segment.

[0013] Furthermore, the coupling assessment of the adhesion defect risk of each ultrasonic abnormal response segment, and the issuance of magnesium oxide coating adhesion defect alarm based on the adhesion defect risk, includes: The susceptibility of weak adhesion to the substrate surface is considered a fundamental risk factor for adhesion defects in magnesium oxide coatings. The product of periodic phase consistency and periodic recurrence consistency is used as the periodic perturbation confidence factor of the corresponding ultrasonic abnormal response segment, and the sum of the value 1 and the periodic perturbation confidence factor is used as the risk amplification factor of magnesium oxide coating adhesion defects. The product of the base risk and the risk amplification factor is used as the adhesion defect risk of each ultrasonic abnormal response segment. When the adhesion defect risk is greater than the preset adhesion defect risk threshold, an adhesion defect alarm for magnesium oxide coating is triggered. When the adhesion defect risk is less than or equal to the preset adhesion defect risk threshold, no adhesion defect alarm for magnesium oxide coating is triggered.

[0014] In a second aspect, the present invention provides an ultrasonic scanning detection system for magnesium oxide coating adhesion defects, comprising: The data acquisition module is used to acquire substrate surface state data before magnesium oxide coating and coating equipment operation data during the coating process, as well as ultrasonic scanning data. The disturbance analysis module is used to analyze the distribution of weak adhesion susceptibility on the substrate surface based on the substrate surface condition data, and to analyze the position of the periodic disturbance of the coating equipment along the length of the strip based on the coating equipment operation data, so as to determine the equipment disturbance cycle and disturbance risk window during the magnesium oxide coating process. The periodic phase consistency evaluation module is used to extract ultrasonic abnormal response segments from ultrasonic scanning data, extract the ultrasonic abnormal period from the distribution of each ultrasonic abnormal response segment along the strip length direction, and match the ultrasonic abnormal period with the equipment disturbance period to evaluate the periodic phase consistency of each ultrasonic abnormal response segment. The periodic recurrence consistency assessment module is used to assess the periodic recurrence consistency of each ultrasound abnormal response segment by performing similarity analysis on ultrasound abnormal response segments within the disturbance risk window. The defect alarm module is used to take the weak adhesion susceptibility of the substrate surface as the basic risk of magnesium oxide coating adhesion defects, and combine the periodic phase consistency and periodic recurrence consistency to evaluate the adhesion defect risk of each ultrasonic abnormal response segment, and issue magnesium oxide coating adhesion defect alarms based on the adhesion defect risk.

[0015] Thirdly, the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes an ultrasonic scanning detection method for magnesium oxide coating adhesion defects by calling the computer program stored in the memory.

[0016] Fourthly, the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform an ultrasonic scanning detection method for magnesium oxide coating adhesion defects.

[0017] Compared with the prior art, the present invention has the following advantages and beneficial effects: This invention uses the weak adhesion susceptibility distribution formed by the wetted state of the substrate surface before magnesium oxide coating as the basic risk of adhesion defects. It combines the equipment disturbance cycle, the location of the cycle, and the disturbance risk window to establish a correspondence between the locations on the substrate surface prone to weak interfacial bonding and the locations where periodic disturbances of the coating equipment may induce defects. Simultaneously, it extracts the ultrasonic abnormal cycle from the periodic distribution of ultrasonic abnormal response segments along the strip length, assesses the periodic phase consistency between the ultrasonic abnormal response segments and the equipment disturbance cycle, and evaluates the cycle recurrence consistency based on the similarity of normalized abnormal waveforms within the disturbance risk window. This quantifies the risk of magnesium oxide coating adhesion defects, reducing the probability of false alarms caused by poor probe coupling, occasional noise, or local contact instability during ultrasonic scanning detection, effectively improving the accuracy and reliability of magnesium oxide coating adhesion defect detection. Attached Figure Description

[0018] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1This is a schematic flowchart of the ultrasonic scanning detection method for magnesium oxide coating adhesion defects provided in the embodiments of the present invention; Figure 2 This is a schematic diagram of the adhesion defect risk assessment process provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of the ultrasonic scanning detection system for magnesium oxide coating adhesion defects provided in this embodiment of the invention; Figure 4 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0019] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0020] Please see Figure 1 , Figure 1 This is a schematic diagram of the overall process of the ultrasonic scanning detection method for magnesium oxide coating adhesion defects provided in this embodiment of the invention, which specifically includes the following steps: S1. Acquire the substrate surface condition data before magnesium oxide coating and the coating equipment operation data during the coating process, and acquire ultrasonic scanning data simultaneously; Specifically, before applying the magnesium oxide coating, multiple substrate surface detection positions are set along the length and width of the strip. A preset volume of magnesium oxide coating is applied to each detection position, and the wetting angle of each detection position is determined by a contact angle detection device. The wetting angle and the corresponding strip length and width coordinates are used as substrate surface state data. During the magnesium oxide coating process, the rotation signal of the coating roller is collected by a speed encoder set on the drive shaft of the coating roller, the roller pressure fluctuation signal is collected by a pressure sensor set in the roller pressure actuator or pressure regulation circuit, the roller surface vibration signal is collected by a vibration sensor set on the bearing seat of the coating roller or the equipment frame, and the strip running speed is collected by a strip speed encoder. The above data are used as coating equipment operating data. After the magnesium oxide coating is applied and the specified drying or curing treatment is completed, an ultrasonic scanning device is used to continuously scan along the length and width of the strip. An ultrasonic transducer emits ultrasonic pulses to the interface between the magnesium oxide coating and the strip substrate and receives the reflected echoes. The echo amplitude, propagation time, phase, and wake energy corresponding to each scanning position are recorded to form ultrasonic scanning data.

[0021] S2. Analyze the distribution of weak adhesion susceptibility on the substrate surface based on the substrate surface condition data, and analyze the position of the periodic disturbance of the coating equipment in the strip length direction based on the coating equipment operation data to determine the equipment disturbance cycle and disturbance risk window during the magnesium oxide coating process. The susceptibility to weak adhesion on the substrate surface is used to characterize the degree to which a weak interfacial bond may form between the magnesium oxide coating and the substrate due to insufficient spreading and wetting of the magnesium oxide coating solution at different locations on the substrate surface before the magnesium oxide coating is applied. The wetting angle directly reflects the spreading ability of the magnesium oxide coating solution on the substrate surface. A larger wetting angle indicates that the magnesium oxide coating solution is more difficult to spread fully at that location, and the easier it is for local contact discontinuities, interfacial voids, or weak bonding areas to form between the coating solution and the substrate. A smaller wetting angle indicates more sufficient spreading of the coating solution and more stable interfacial contact. Therefore, the degree to which the wetting angle exceeds the acceptable wetting state is converted into the susceptibility to weak adhesion on the substrate surface, providing a basic risk basis for subsequent assessment of adhesion defect risks based on equipment disturbance cycles and ultrasonic anomaly response. The distribution of the susceptibility to weak adhesion on the substrate surface is analyzed based on substrate surface state data, including: A two-dimensional coordinate system for the substrate surface is established with respect to the length and width of the strip. The substrate surface condition data is then mapped to this two-dimensional coordinate system. Specifically, the strip running direction is used as the length axis, and the width direction perpendicular to the strip running direction is used as the width axis. The midpoint of the starting boundary of the strip entering the detection area before magnesium oxide coating is selected as the origin of the coordinate system. Based on the online detection timestamp, the substrate surface condition data collected before coating is converted into the corresponding length axis coordinates. At the same time, the width axis coordinates are determined according to the installation position of the wetting angle measuring device in the width direction of the strip. The substrate surface condition data at each detection position is then mapped to the same two-dimensional coordinate system for the substrate surface. The wetting angles of the magnesium oxide coating solution at each detection location on the substrate surface are extracted to characterize the spreading ability of the magnesium oxide coating solution on the substrate surface. The larger the wetting angle, the worse the spreading ability of the coating solution and the easier it is to form a weak adhesion interface on the substrate surface. Calculate the wetting angle offset between the wetting angle at each detection location and the reference value. When the wetting angle is greater than the reference value, the difference between the wetting angle and the reference value is taken as the wetting angle offset. When the wetting angle is less than or equal to the reference value, the wetting angle offset is 0. Specifically, the wetting angle data collected during the stable production stage is taken as the reference value, which is used to characterize the normal wetting state of the magnesium oxide coating on a qualified substrate surface. For any detection location, compare the wetting angle at that location with the reference value. When the wetting angle at that location is greater than the reference value, it indicates that the wetting state does not meet the qualified wetting state, and the difference between the wetting angle and the reference value is taken as the wetting angle offset. When the wetting angle at that location is less than or equal to the reference value, it indicates that the wetting state meets the qualified wetting state and does not increase the risk of weak adhesion, and the wetting angle offset is determined to be 0. The normalized wetting angle offset is used as the susceptibility of weak adhesion to the substrate surface at each detection location, which is used to characterize the degree of possibility of weak interfacial bonding between the magnesium oxide coating and the substrate at different detection locations. Specifically, by statistically analyzing the wetting angle offsets corresponding to all detection locations, the minimum and maximum values ​​of the wetting angle offset are determined, and the difference between the maximum and minimum values ​​is taken as the wetting angle offset range. The ratio of the difference between the wetting angle offset at any detection location and the minimum value to the wetting angle offset range is taken as the normalized wetting angle offset corresponding to the detection location. By determining the equipment disturbance cycle and disturbance risk window during the magnesium oxide coating process, the periodic operating states of the equipment, such as coating roller rotation, roller pressure fluctuation, or roller surface vibration, are transformed from the time domain to the spatial domain along the strip length. The specific location range where equipment disturbances may repeatedly affect the magnesium oxide coating is determined. The equipment disturbance cycle refers to the spatial distance between two adjacent repeated action points of the same periodic disturbance state along the strip length. The disturbance risk window refers to the spatial location range centered on each periodic action point, comprehensively considering strip speed fluctuations, signal detection errors, and equipment response hysteresis. Determining the equipment disturbance cycle provides a matching benchmark for whether the ultrasonic abnormal response has a periodicity corresponding to the equipment operating state. Determining the disturbance risk window expands the potential adhesion defects induced by equipment disturbances from discrete theoretical locations to a tolerant actual detection range, avoiding abnormal position mismatches caused by strip speed fluctuations or phase measurement deviations. This improves the accuracy of subsequent ultrasonic abnormality cycle matching, cycle phase consistency assessment, and adhesion defect risk determination. The determination of the equipment disturbance cycle and disturbance risk window during the magnesium oxide coating process includes: The coating equipment operation data is acquired, including periodic disturbance signals, strip speed, and initial phase of disturbances. Specifically, a speed encoder, pressure sensor, and vibration sensor are installed on the magnesium oxide coating equipment. The speed encoder collects the angular displacement or speed signal of the coating roller, the pressure sensor in the bearing housing, roller pressure actuator, or pressure regulation circuit collects the roller pressure fluctuation signal, and the vibration sensor in the bearing housing or equipment frame collects the roller surface vibration signal. These signals are used as the periodic disturbance signals of the coating equipment. The strip speed encoder acquires the strip speed, and the equipment controller reads the strip running start time, the sampling time of each disturbance signal, and the initial phase of the disturbance signal relative to the strip running start time. The periodic disturbance signals, strip speed, and initial phase of disturbances are synchronized according to a unified timestamp to obtain time-aligned coating equipment operation data. Based on the interval between adjacent disturbance peaks of the periodic disturbance signal of the coating equipment, the time period of the periodic disturbance of the coating equipment is determined. The periodic disturbance signal of the coating equipment includes the coating roller rotation signal, the roller pressure fluctuation signal, and the roller surface vibration signal. Specifically, the coating roller rotation signal, the roller pressure fluctuation signal, and the roller surface vibration signal are periodically analyzed respectively. The effective disturbance peaks in each signal are identified according to the preset peak amplitude threshold and the minimum peak interval. The preset peak amplitude threshold can be determined based on the mean and standard deviation of the corresponding signal. The sum of the mean and standard deviation of the signal is used as the preset peak amplitude threshold. The minimum peak interval is determined based on the shortest period corresponding to the maximum allowable rotation speed of the coating roller. The time difference between adjacent effective disturbance peaks in the same disturbance signal is calculated in chronological order, and the average value of all time differences is used as the candidate time period corresponding to the disturbance signal. The dispersion of each candidate time period is calculated, and the candidate time period corresponding to the minimum dispersion is used as the time period of the periodic disturbance of the coating equipment. The product of the time period and the strip running speed is used as the equipment disturbance period of the coating equipment in the strip length direction. This is used to characterize the interval of the repeated occurrence of the coating equipment periodic disturbance in the strip length direction. The repetition interval of the equipment operating state on the time axis is converted into the repetition position interval in the strip surface coordinates, so that the equipment disturbance period can be directly compared with the ultrasonic anomaly positions distributed along the strip length direction. The disturbance risk window during the magnesium oxide coating process is determined based on the initial phase and period of the equipment disturbance, which is used to characterize the spatial location range of magnesium oxide coating adhesion defects induced by the periodic disturbance of the coating equipment. Among them, the disturbance risk window during the magnesium oxide coating process is determined based on the initial phase and period of the equipment disturbance, including: The initial action time of the periodic disturbance of the coating equipment is determined based on the initial phase of the equipment disturbance. Specifically, the start time of the strip's operation is determined as the time reference point, and the initial phase of the equipment disturbance corresponding to the periodic disturbance signal of the coating equipment at this time reference point is obtained. The characteristic phase in the disturbance signal that can significantly affect the adhesion state of the magnesium oxide coating is determined as the disturbance reference phase. The disturbance reference phase can be the pressure peak phase of the roll pressure fluctuation signal, the vibration peak phase of the roll surface vibration signal, or the rotation angle phase corresponding to the contact between a specific roll surface area of ​​the coating roll and the strip. The phase difference required for the initial phase of the equipment disturbance to reach the disturbance reference phase along the equipment running direction is calculated, and the ratio of the phase difference to the phase range corresponding to the complete disturbance cycle is multiplied by the time period of the periodic disturbance of the coating equipment to obtain the time interval from the start time of the strip's operation to the first time the disturbance reference phase is reached. The time interval is added to the start time of the strip's operation to obtain the initial action time of the periodic disturbance of the coating equipment. Taking the start time of strip running as the integration starting point, the strip running speed is integrated between the start time of strip running and the initial action time to obtain the initial action position of the periodic disturbance of the coating equipment in the strip length direction. Specifically, the strip running speed sequence between the start time of strip running and the initial action time is obtained; according to the time interval between each adjacent sampling time, the average value of two adjacent strip running speeds is multiplied by the corresponding time interval to obtain the running distance of the strip in the sampling interval; the running distances corresponding to all sampling intervals are accumulated to obtain the cumulative running distance of the strip from the start time of strip running to the initial action time; the cumulative running distance of the strip is added to the coordinates of the starting position of the strip running to obtain the initial action position; the initial action position represents the strip surface position corresponding to the action area of ​​the coating equipment when the coating equipment first reaches the reference phase of the disturbance, thus converting the initial time state of the equipment disturbance into the spatial position state in the strip length direction; Based on the initial action position and the equipment disturbance cycle, the periodic action position of the coating equipment periodic disturbance in the strip length direction is determined. Specifically, the initial action position is taken as the first periodic action position, and the equipment disturbance cycle is taken as the spatial interval between two adjacent periodic action positions. According to the strip running direction, one equipment disturbance cycle is added to the previous periodic action position to obtain the periodic action position of the coating equipment periodic disturbance in the strip length direction. The window extension length is determined based on the average fluctuation amplitude of the strip steel running speed. The corresponding disturbance risk window is then determined with the position of each cycle as the center and the window extension length as the boundary. Specifically, the strip steel running speed is divided into different speed analysis intervals according to the equipment disturbance time period. The absolute deviation between the strip steel running speed and the average running speed of each interval is calculated, and the average of all absolute deviations within the interval is obtained to get the speed fluctuation amplitude corresponding to that interval. The speed fluctuation amplitudes corresponding to multiple speed analysis intervals are averaged to obtain the average fluctuation amplitude of the strip steel running speed. The average fluctuation amplitude is multiplied by the equipment disturbance time period to obtain the speed... The spatial position deviation that may be caused by strip speed fluctuations is determined as the window expansion length. For each periodic action position, the window expansion length is extended forward and backward along the strip length direction. The position obtained by subtracting the window expansion length from the periodic action position is determined as the starting position of the disturbance risk window, and the position obtained by adding the window expansion length to the periodic action position is determined as the ending position of the disturbance risk window. The corresponding disturbance risk window is defined by the starting position and the ending position. The disturbance risk window is used to characterize the spatial range of magnesium oxide coating adhesion defects that may be induced by periodic disturbances of the coating equipment, considering strip speed fluctuations, equipment operating errors, and the uncertainty of the disturbance action position.

[0022] S3. Extract ultrasonic abnormal response segments from ultrasonic scanning data, extract ultrasonic abnormal period from the distribution of each ultrasonic abnormal response segment along the strip length direction, match the ultrasonic abnormal period with the equipment disturbance period, and evaluate the period phase consistency of each ultrasonic abnormal response segment. By quantitatively identifying the spatial repetition and location patterns of ultrasonic anomalies corresponding to periodic disturbances in the coating equipment through periodic phase consistency, it is possible to determine whether a single ultrasonic anomaly response segment is related to magnesium oxide coating adhesion defects based solely on the anomaly amplitude. Weak adhesion regions induced by periodic disturbances in the coating equipment typically repeat along the strip length at intervals close to the equipment disturbance cycle, and are distributed near the corresponding periodic location. Therefore, by evaluating periodic phase consistency, a spatial correspondence can be established between the equipment operating status and the ultrasonic detection response, reducing false alarms caused by isolated and random anomalies and improving the reliability of identifying adhesion defects induced by equipment disturbances. The periodic phase consistency of each ultrasonic anomaly response segment is evaluated, including: Based on the start and end positions of each ultrasonic abnormal response segment in the ultrasonic scanning data, the ultrasonic abnormal position of each ultrasonic abnormal response segment in the strip length direction is determined. The ultrasonic anomaly locations are sorted according to the length of the strip to construct an ultrasonic anomaly location sequence. Based on the length interval between adjacent ultrasonic anomaly locations in the ultrasonic anomaly location sequence, the ultrasonic anomaly period of each ultrasonic anomaly response segment is extracted. The maximum value between the ultrasonic abnormality period and the equipment disturbance period is taken as the reference period, and the ratio of the difference between the ultrasonic abnormality period and the equipment disturbance period to the reference period is taken as the period deviation of each ultrasonic abnormality response segment. Calculate the positional deviation between the ultrasonic anomaly location and the nearest periodic action location for each ultrasonic anomaly response segment, and use the ratio of the positional deviation to the window expansion length corresponding to the disturbance risk window as the phase deviation degree of each ultrasonic anomaly response segment. The periodic phase deviation is obtained by weighted summation of the periodic deviation degree and the phase deviation degree. The difference between the value of 1 and the periodic phase deviation degree is taken as the periodic phase consistency of each ultrasound abnormal response segment. The closer the periodic phase consistency is to 1, the more consistent the repetition interval of the corresponding ultrasound abnormal response segment is with the equipment disturbance period, and the closer its abnormal position is to the periodic action position of the equipment disturbance.

[0023] S4. By performing similarity analysis on the ultrasonic abnormal response segments within the disturbance risk window, the consistency of periodic recurrence of each ultrasonic abnormal response segment is evaluated. Periodic recurrence consistency refers to the similarity between the abnormal peak position, waveform fluctuation trend, abnormal duration range, and local energy distribution when ultrasonic abnormal response segments recur within different disturbance risk windows. Weak adhesion areas of magnesium oxide coating induced by local defects on the coating roller surface, periodic roller pressure fluctuations, or periodic vibrations typically recur along the strip length direction during equipment operation cycles, producing ultrasonic abnormal responses with similar morphologies. However, abnormal responses caused by scanning coupling changes, local noise, random surface undulations, or occasional inclusions usually lack stable periodic recurrence characteristics. Therefore, based on the use of periodic phase consistency to determine whether the interval and spatial location of abnormal occurrences match equipment disturbances, periodic recurrence consistency can be used to determine whether abnormal waveforms at different periodic positions recur. This allows for joint verification of the correlation between periodic equipment disturbances and coating adhesion abnormalities from both the abnormal location pattern and the abnormal response morphology, reducing false alarms caused by isolated anomalies and random detection noise, and evaluating the periodic recurrence consistency of each ultrasonic abnormal response segment, including: Based on the position range of each disturbance risk window along the strip length, extract the ultrasonic abnormal response segments from the ultrasonic scanning data that fall within each disturbance risk window; By normalizing the length and amplitude of each ultrasonic anomaly response segment, normalized anomaly waveforms corresponding to each ultrasonic anomaly response segment are obtained. Specifically, when normalizing the length of each ultrasonic anomaly response segment, the ultrasonic anomaly response segments extracted from different disturbance risk windows are aligned according to their start and end positions according to the standard waveform length. The ultrasonic anomaly response segments are converted into the same number of sampling points by a proportional stretching and compression method to eliminate the influence of the difference in the duration of different anomaly segments on waveform comparison. The standard waveform length can be the average of the lengths of all disturbance risk windows. The ultrasonic anomaly response segments after length normalization are then subjected to amplitude normalization processing, that is, the amplitude of each sampling point is normalized by using the maximum amplitude and minimum amplitude to make the amplitude of each ultrasonic anomaly response segment within a uniform numerical range. This eliminates the influence of detection gain, local attenuation, or response intensity differences on waveform morphology similarity judgment, and obtains the normalized anomaly waveforms corresponding to each ultrasonic anomaly response segment. This allows ultrasonic anomaly response segments in different disturbance risk windows to be analyzed for waveform similarity under a uniform length scale and a uniform amplitude scale. The normalized abnormal waveforms within all disturbance risk windows are averaged to obtain the baseline abnormal waveform, and the cosine similarity between each normalized abnormal waveform and the baseline abnormal waveform is used as the periodic recurrence consistency of each ultrasonic abnormal response segment.

[0024] S5. The weak adhesion susceptibility of the substrate surface is taken as the basic risk of adhesion defects of magnesium oxide coating. Combined with the periodic phase consistency and periodic recurrence consistency, the adhesion defect risk of each ultrasonic abnormal response segment is evaluated in a coupled manner, and the magnesium oxide coating adhesion defect alarm is issued according to the adhesion defect risk. By unifying the possibility of weak adhesion forming on the substrate surface before coating, the inducing effect of periodic disturbances in the coating equipment on the defect formation location, and the repetitive pattern of ultrasonic abnormal responses within multiple periodic risk windows into the adhesion defect risk assessment process, the substrate surface weak adhesion susceptibility reflects the basic probability of weak adhesion interfaces forming at that location due to insufficient wetting of the magnesium oxide coating solution. Periodic phase consistency reflects whether ultrasonic abnormal response segments appear near the location corresponding to the periodic disturbances in the coating equipment. Periodic recurrence consistency reflects whether the ultrasonic abnormal response segments exhibit stable and similar waveforms within multiple disturbance risk windows. The product of periodic phase consistency and periodic recurrence consistency is used as the periodic disturbance confidence factor, further forming a risk amplification factor. This prevents areas with only a tendency for weak substrate adhesion but lacking periodic ultrasonic evidence from being over-warned, thus avoiding misjudgments caused by solely relying on ultrasonic echo anomalies. Please refer to [link to relevant documentation]. Figure 2 , Figure 2 This is a schematic diagram of the adhesion defect risk assessment process provided in this embodiment of the invention. Based on the adhesion defect risk, an adhesion defect alarm for magnesium oxide coating is generated, including: The susceptibility of weak adhesion to the substrate surface is considered a fundamental risk factor for adhesion defects in magnesium oxide coatings. The product of periodic phase consistency and periodic recurrence consistency is used as the periodic perturbation confidence factor of the corresponding ultrasonic abnormal response segment, and the sum of the value 1 and the periodic perturbation confidence factor is used as the risk amplification factor of magnesium oxide coating adhesion defects. The product of the base risk and the risk amplification factor is used as the adhesion defect risk of each ultrasonic abnormal response segment. When the adhesion defect risk is greater than the preset adhesion defect risk threshold, an adhesion defect alarm for magnesium oxide coating is triggered. When the adhesion defect risk is less than or equal to the preset adhesion defect risk threshold, no adhesion defect alarm for magnesium oxide coating is triggered.

[0025] Please see Figure 3 , Figure 3 This is a schematic diagram of the ultrasonic scanning detection system for magnesium oxide coating adhesion defects provided in an embodiment of the present invention, including: The data acquisition module 210 is used to acquire substrate surface state data before magnesium oxide coating and coating equipment operation data during the coating process, and also acquire ultrasonic scanning data. The disturbance analysis module 220 is used to analyze the distribution of weak adhesion susceptibility on the substrate surface based on the substrate surface condition data, and to analyze the position of the periodic disturbance of the coating equipment in the strip length direction based on the coating equipment operation data, so as to determine the equipment disturbance cycle and disturbance risk window during the magnesium oxide coating process. The periodic phase consistency evaluation module 230 is used to extract ultrasonic abnormal response segments through ultrasonic scanning data, extract ultrasonic abnormal periods through the distribution of each ultrasonic abnormal response segment along the strip length direction, match the ultrasonic abnormal periods with the equipment disturbance period, and evaluate the periodic phase consistency of each ultrasonic abnormal response segment. The periodic recurrence consistency assessment module 240 is used to assess the periodic recurrence consistency of each ultrasound abnormal response segment by performing similarity analysis on ultrasound abnormal response segments within the disturbance risk window. The defect alarm module 250 is used to take the weak adhesion susceptibility of the substrate surface as the basic risk of magnesium oxide coating adhesion defects, and combine the periodic phase consistency and periodic recurrence consistency to couple and evaluate the adhesion defect risk of each ultrasonic abnormal response segment, and issue magnesium oxide coating adhesion defect alarms based on the adhesion defect risk.

[0026] The parameters and steps for implementing the corresponding functions of each unit module in the ultrasonic scanning detection system for magnesium oxide coating adhesion defects of the present invention can be referred to the parameters and steps in the embodiments of the ultrasonic scanning detection method for magnesium oxide coating adhesion defects described above, and will not be repeated here.

[0027] Please refer to Figure 4The present invention also provides an electronic device 300, including a memory 310, a processor 320, and a communication bus 330; the memory 310 and the processor 320 are connected via the communication bus 330. The memory 310 stores an ultrasonic scanning detection method for magnesium oxide coating adhesion defects, which can be loaded by the processor 320 and executed as provided in the above embodiments.

[0028] The memory 310 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 310 may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the ultrasonic scanning detection method for magnesium oxide coating adhesion defects provided in the above embodiments, etc. The data storage area may store data involved in the ultrasonic scanning detection method for magnesium oxide coating adhesion defects provided in the above embodiments, etc.

[0029] Processor 320 may include one or more processing cores. Processor 320 executes instructions, programs, code sets, or instruction sets stored in memory 310, and calls data stored in memory 310 to perform various functions and process data according to the present invention. Processor 320 may be at least one of the following: Application Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), Central Processing Unit (CPU), Controller, Microcontroller, and Microprocessor. It is understood that, for different devices, the electronic devices used to implement the functions of processor 320 may also be other types, and the embodiments of the present invention do not specifically limit this.

[0030] The communication bus 330 may include a path for transmitting information between the aforementioned components. The communication bus 330 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 330 may be divided into an address bus, a data bus, a control bus, etc.

[0031] This invention provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as described in the above embodiments, a method for ultrasonic scanning detection of magnesium oxide coating adhesion defects.

[0032] In this embodiment of the invention, the computer-readable storage medium can be a tangible device that holds and stores instructions used by an instruction execution device. The computer-readable storage medium can be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, the computer-readable storage medium can be a portable computer disk, a hard disk, a USB flash drive, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), lectern random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory stick, floppy disk, optical disk, magnetic disk, mechanical encoding device, or any combination thereof.

[0033] The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0034] The above description is merely a preferred embodiment of the present invention and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to the technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions claimed in this invention.

Claims

1. An ultrasonic scanning method for detecting adhesion defects in magnesium oxide coatings, characterized in that, include: Acquire substrate surface condition data before magnesium oxide coating and coating equipment operation data during the coating process, and simultaneously acquire ultrasonic scanning data; Based on the analysis of substrate surface condition data, the distribution of weak adhesion susceptibility on the substrate surface is analyzed. Based on the analysis of coating equipment operation data, the position of the periodic disturbance of the coating equipment in the strip length direction is analyzed to determine the equipment disturbance cycle and disturbance risk window during the magnesium oxide coating process. Ultrasonic abnormal response segments are extracted from ultrasonic scanning data. The ultrasonic abnormal period is extracted from the distribution of each ultrasonic abnormal response segment along the length of the strip. The ultrasonic abnormal period is matched with the equipment disturbance period to evaluate the period phase consistency of each ultrasonic abnormal response segment. The consistency of periodic recurrence of each ultrasonic abnormal response segment was evaluated by performing similarity analysis on ultrasonic abnormal response segments within the disturbance risk window. The susceptibility of weak adhesion to the substrate surface is taken as the basic risk of adhesion defects in magnesium oxide coating. Combined with the periodic phase consistency and periodic recurrence consistency, the adhesion defect risk of each ultrasonic abnormal response segment is evaluated in a coupled manner, and an alarm for magnesium oxide coating adhesion defects is issued based on the adhesion defect risk. The analysis of the distribution of weak adhesion susceptibility on the substrate surface based on substrate surface condition data includes: A two-dimensional coordinate system for the substrate surface is established with respect to the length and width of the strip, and the substrate surface condition data is mapped to the two-dimensional coordinate system for the substrate surface. The wetting angles of the magnesium oxide coating solution at each detection location on the substrate surface were extracted to characterize the spreading ability of the magnesium oxide coating solution on the substrate surface. Calculate the wetting angle offset between the wetting angle corresponding to each detection position and the wetting angle reference value. When the wetting angle is greater than the wetting angle reference value, the difference between the wetting angle and the wetting angle reference value is taken as the wetting angle offset. When the wetting angle is less than or equal to the wetting angle reference value, the wetting angle offset is 0. The normalized wetting angle offset is used as the susceptibility of weak adhesion to the substrate surface at each detection location, which is used to characterize the degree of possibility of weak interfacial bonding between the magnesium oxide coating and the substrate at different detection locations. The assessment of the periodic phase consistency of each abnormal ultrasound response segment includes: Based on the start and end positions of each ultrasonic abnormal response segment in the ultrasonic scanning data, the ultrasonic abnormal position of each ultrasonic abnormal response segment in the strip length direction is determined. The ultrasonic anomaly locations are sorted according to the length of the strip to construct an ultrasonic anomaly location sequence. Based on the length interval between adjacent ultrasonic anomaly locations in the ultrasonic anomaly location sequence, the ultrasonic anomaly period of each ultrasonic anomaly response segment is extracted. The maximum value between the ultrasonic abnormality period and the equipment disturbance period is taken as the reference period, and the ratio of the difference between the ultrasonic abnormality period and the equipment disturbance period to the reference period is taken as the period deviation of each ultrasonic abnormality response segment. Calculate the positional deviation between the ultrasonic anomaly location and the nearest periodic action location for each ultrasonic anomaly response segment, and use the ratio of the positional deviation to the window expansion length corresponding to the disturbance risk window as the phase deviation degree of each ultrasonic anomaly response segment. The periodic phase deviation is obtained by weighted summation of the periodic deviation and the phase deviation, and the difference between the value 1 and the periodic phase deviation is taken as the periodic phase consistency of each ultrasound abnormal response segment. The assessment of the periodic recurrence consistency of each ultrasound abnormality response segment includes: Based on the position range of each disturbance risk window along the strip length, extract the ultrasonic abnormal response segments from the ultrasonic scanning data that fall within each disturbance risk window; By normalizing the length and amplitude of each ultrasonic abnormal response segment, the normalized abnormal waveform corresponding to each ultrasonic abnormal response segment is obtained. The normalized abnormal waveforms within all disturbance risk windows are averaged to obtain the baseline abnormal waveform, and the cosine similarity between each normalized abnormal waveform and the baseline abnormal waveform is used as the periodic recurrence consistency of each ultrasonic abnormal response segment.

2. The ultrasonic scanning detection method for magnesium oxide coating adhesion defects according to claim 1, characterized in that, The determination of the equipment disturbance cycle and disturbance risk window during the magnesium oxide coating process includes: Acquire coating equipment operation data, which includes periodic disturbance signals of the coating equipment, strip running speed, and initial phase of equipment disturbance; The time period of the periodic disturbance of the coating equipment is determined based on the interval between adjacent disturbance peaks of the periodic disturbance signal of the coating equipment. The periodic disturbance signal of the coating equipment includes the coating roller rotation signal, the roller pressure fluctuation signal, and the roller surface vibration signal. The product of the time period and the strip running speed is taken as the equipment disturbance period of the periodic disturbance of the coating equipment in the strip length direction, which is used to characterize the interval of the repeated occurrence of the periodic disturbance of the coating equipment in the strip length direction. The disturbance risk window during the magnesium oxide coating process is determined based on the initial phase and period of the equipment disturbance, which is used to characterize the spatial location range of magnesium oxide coating adhesion defects induced by periodic disturbances of the coating equipment.

3. The ultrasonic scanning detection method for magnesium oxide coating adhesion defects according to claim 2, characterized in that, The determination of the disturbance risk window during the magnesium oxide coating process based on the initial phase and period of equipment disturbance includes: The initial action time of the periodic disturbance of the coating equipment is determined based on the initial phase of the equipment disturbance; Taking the start time of strip running as the starting point of integration, the strip running speed is integrated between the start time of strip running and the initial action time to obtain the initial action position of the periodic disturbance of the coating equipment in the strip length direction; Based on the initial action position and the equipment disturbance period, determine the periodic action position of the coating equipment's periodic disturbance along the strip length direction; The window extension length is determined based on the average fluctuation amplitude of the strip running speed, and the corresponding disturbance risk window is determined with the position of each cycle as the center and the window extension length as the boundary range.

4. The ultrasonic scanning detection method for magnesium oxide coating adhesion defects according to claim 1, characterized in that, The coupling assessment evaluates the adhesion defect risk of each ultrasonic abnormal response segment, and issues an adhesion defect alarm for the magnesium oxide coating based on the adhesion defect risk, including: The susceptibility of weak adhesion to the substrate surface is considered a fundamental risk factor for adhesion defects in magnesium oxide coatings. The product of periodic phase consistency and periodic recurrence consistency is used as the periodic perturbation confidence factor of the corresponding ultrasonic abnormal response segment, and the sum of the value 1 and the periodic perturbation confidence factor is used as the risk amplification factor of magnesium oxide coating adhesion defects. The product of the base risk and the risk amplification factor is used as the adhesion defect risk of each ultrasonic abnormal response segment. When the adhesion defect risk is greater than the preset adhesion defect risk threshold, an adhesion defect alarm for magnesium oxide coating is triggered. When the adhesion defect risk is less than or equal to the preset adhesion defect risk threshold, no adhesion defect alarm for magnesium oxide coating is triggered.

5. An ultrasonic scanning detection system for magnesium oxide coating adhesion defects, used to implement the ultrasonic scanning detection method for magnesium oxide coating adhesion defects according to any one of claims 1-4, characterized in that, The system includes: The data acquisition module is used to acquire substrate surface state data before magnesium oxide coating and coating equipment operation data during the coating process, as well as ultrasonic scanning data. The disturbance analysis module is used to analyze the distribution of weak adhesion susceptibility on the substrate surface based on the substrate surface condition data, and to analyze the position of the periodic disturbance of the coating equipment along the length of the strip based on the coating equipment operation data, so as to determine the equipment disturbance cycle and disturbance risk window during the magnesium oxide coating process. The periodic phase consistency evaluation module is used to extract ultrasonic abnormal response segments from ultrasonic scanning data, extract the ultrasonic abnormal period from the distribution of each ultrasonic abnormal response segment along the strip length direction, and match the ultrasonic abnormal period with the equipment disturbance period to evaluate the periodic phase consistency of each ultrasonic abnormal response segment. The periodic recurrence consistency assessment module is used to assess the periodic recurrence consistency of each ultrasound abnormal response segment by performing similarity analysis on ultrasound abnormal response segments within the disturbance risk window. The defect alarm module is used to take the weak adhesion susceptibility of the substrate surface as the basic risk of magnesium oxide coating adhesion defects, and combine the periodic phase consistency and periodic recurrence consistency to evaluate the adhesion defect risk of each ultrasonic abnormal response segment, and issue magnesium oxide coating adhesion defect alarms based on the adhesion defect risk.

6. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the ultrasonic scanning detection method for magnesium oxide coating adhesion defects as described in any one of claims 1-4 by calling the computer program stored in the memory.

7. A computer-readable storage medium, characterized in that, The device stores instructions that, when executed on a computer, cause the computer to perform the ultrasonic scanning detection method for magnesium oxide coating adhesion defects as described in any one of claims 1-4.

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