A method and apparatus for detecting components of a high performance polyurea adhesive

Abstract

The present application relates to the technical field of component detection, and in particular to a component detection method and device for high-performance polyurea adhesive. According to the difference between the polymerization pressure values of two feeding pipes at each moment, and the thermal core feature position of the spray thermal image, the feeding work value and the spray shaking response value are obtained. According to the cross-correlation degree between the feeding work value and the spray shaking response value within the preset analysis period at each moment, the fluid transmission delay time is obtained. According to the change ratio of the spray shaking response value relative to the feeding work value within the preset analysis period at each moment, the kinetic energy transmission conversion ratio is obtained. According to the change degree of the fluid transmission delay time and the kinetic energy transmission conversion ratio at each moment within the working period relative to the corresponding data within the self-checking calibration period, the component state in the mixing chamber is detected. The present application establishes a reliable correlation between the macroscopic detection index and the microscopic mixing quality which is difficult to directly observe, and improves the accuracy of component detection.

Description

Technical Field

[0001] This invention relates to the field of component detection technology, and specifically to a method and equipment for component detection of high-performance polyurea adhesives. Background Technology

[0002] The material properties of high-performance polyurea adhesives depend on the instantaneous high-pressure impact mixing effect of isocyanate and amino resin in the mixing chamber. In actual spraying projects, the pulsating pressure generated by the feed pump drives the two component fluids to collide in the narrow space of the mixing chamber, thereby converting the fluid kinetic energy into turbulent mixing energy.

[0003] As the core reaction site, the condition of the mixing chamber's inner wall determines the fluid flow pattern and energy transfer efficiency. During continuous operation, trace amounts of reaction residue gradually adhere to the mixing chamber's inner wall, forming a microscopic coking layer. This leads to narrowing of the flow channel cross-section and increased inner wall roughness, thereby altering the fluid's viscous frictional resistance. Simultaneously, long-term scouring and wear of the nozzle reduces the energy conversion efficiency of the jet impact.

[0004] The minute changes in flow impedance and energy loss caused by early microscopic coking on the mixing chamber walls or slight nozzle wear are easily masked by the powerful output of the feed pump on a macroscopic level, causing traditional monitoring indicators such as macroscopic feed pressure to remain within the normal range. This "pseudo-normal" state, where macroscopic parameters are normal but microscopic mixing is uneven, can lead to quality problems such as reduced adhesive curing strength and insufficient interlayer adhesion. This makes it impossible for threshold detection or spectroscopic techniques based on macroscopic parameters to detect the components in the adhesive preparation process in real time and accurately. Summary of the Invention

[0005] To address the technical problem of inaccurate component detection due to the mismatch between macroscopic detection indicators and microscopic mixing quality, the present invention aims to provide a method and device for component detection of high-performance polyurea adhesives. The specific technical solution adopted is as follows: In a first aspect, one embodiment of the present invention provides a method for detecting the components of a high-performance polyurea adhesive, the method comprising: The polymerization pressure values ​​of the two feed lines in the mixing chamber at each moment during the polyurea adhesive preparation period are acquired in real time, as well as the spray thermal image of the spray area at the corresponding moment. Based on the difference in polymerization pressure between the two feed pipelines at each time point and the location of the heat core characteristics in the spray thermal image, the feed work value and spray vibration response value at each time point are obtained. Based on the degree of cross-correlation between the material feeding work value and the spray vibration response value within the preset analysis period at each moment, the fluid transmission delay time at each moment is obtained; Based on the change ratio of the spray vibration response value to the material feeding work value within the preset analysis period at each moment, the kinetic energy transfer conversion ratio at each moment is obtained; Select a self-calibration period and a working period from the preparation period; based on the fluid transmission delay time and kinetic energy transfer conversion ratio at each moment within the working period, and the degree of change of the corresponding data within the self-calibration period, detect the state of the mixed indoor components.

[0006] Furthermore, obtaining the feeding work value and spray vibration response value at each moment includes: Choose any time point as the example time point, segment the spray thermal image at the example time point, extract the thermal core region, and record the centroid of the thermal core region as the thermal core centroid at the example time point; The arithmetic mean center of the thermal core centroids at all times within the preset analysis period of the example time is calculated and used as the reference thermal core centroid; the distance between the thermal core centroid at the example time and the reference thermal core centroid is recorded as the spray deviation distance. Calculate the sum of the polymerization pressure values ​​of the two feed lines at the example time, and use it as the total feed pump pressure at the corresponding time. The spray deviation distance and the total pressure of the feed pump are respectively subjected to de-averaging processing to obtain the spray jitter response value and the feed work value at the example time.

[0007] Furthermore, obtaining the fluid transport delay time at each moment includes: The material feeding work value and the spray shaking response value of all times within the preset analysis period of each time are arranged in time sequence to obtain the material feeding work sequence and the spray shaking response sequence of each time. Calculate the normalized cross-correlation values ​​of the feeding work sequence and the spray shaking response sequence under different preset delay time indices, and select the delay time index corresponding to the largest normalized cross-correlation value as the initial peak index; Based on the initial peak index and the normalized cross-correlation value under its adjacent previous and next delay time indices, the extreme points of the normalized cross-correlation function are obtained by parabolic interpolation, and the delay time index corresponding to the extreme point is recorded as the extreme delay time index. The product of the extreme delay time index and the time interval between two adjacent moments is used as the fluid transport delay time at each moment.

[0008] Furthermore, obtaining the kinetic energy transfer conversion ratio at each moment includes: Calculate the root mean square values ​​of the material feeding work value and the spray vibration response value for all times within the preset analysis period at each time moment, and record them as the effective work value and effective response value for each time moment in turn; The ratio obtained by taking the effective response value as the numerator and the sum of the effective work value and the preset positive number as the denominator is used as the kinetic energy transfer conversion ratio at each moment.

[0009] Furthermore, the detection of the mixed indoor component state includes: Calculate the arithmetic average of the fluid transmission delay time and the kinetic energy transfer conversion ratio at all times during the self-test calibration period, and record them as the reference delay time and the reference conversion ratio respectively. For each moment within the working period, the ratio of the fluid transport delay time at each moment to the reference delay time is taken as the delay growth rate; the ratio of the kinetic energy transfer conversion at each moment to the reference conversion ratio is taken as the conversion attenuation rate. If the delay growth rate at each moment is greater than the preset flow resistance tolerance coefficient, the mixing chamber is in a coking state at the corresponding moment; if the conversion attenuation rate at each moment is less than the preset efficiency tolerance coefficient, the mixing chamber is in a mixing failure state at the corresponding moment.

[0010] Furthermore, the step of segmenting the spray thermal image at the example time and extracting the heat core region includes: The maximum value of the pixel in the spray thermal image at the example time is selected, and the product of the maximum value and the preset temperature ratio is used as the thermal core segmentation threshold. The connected region consisting of pixels whose pixel values ​​in the spray thermal image at the example time are greater than the thermal core segmentation threshold is taken as the thermal core region.

[0011] Furthermore, the preset flow resistance tolerance coefficient is greater than 1, and the preset efficiency tolerance coefficient is less than 1.

[0012] Furthermore, the centroid of the thermonuclear region is obtained using the gray-weighted centroid method.

[0013] Furthermore, the selection of the self-test calibration period and the working period from the preparation period includes: Calculate the variance of the material feeding work value and the spray shaking response value for all times within the preset judgment period at each time moment, and record them as the work fluctuation value and the response fluctuation value respectively. The start time of the preparation period is recorded as the initial time to be determined. When the work fluctuation value and response fluctuation value of the time to be determined do not meet the preset stability condition, the next adjacent time of the time to be determined is recorded as the new time to be determined, until the work fluctuation value and response fluctuation value of the new time to be determined meet the preset stability condition. The time to be determined that meets the preset stability condition is taken as the stability boundary time. The preset stability conditions include: the work fluctuation value at the time to be determined is less than the preset work fluctuation threshold, and the response fluctuation value is less than the preset response fluctuation threshold. The self-calibration period is a preset duration that continues after the stable boundary time; the time interval between the next adjacent time after the end time of the self-calibration period and the end time of the preparation period is recorded as the working period.

[0014] Secondly, another embodiment of the present invention provides a component detection device for high-performance polyurea adhesives, the device comprising: The data acquisition module is used to acquire in real time the polymerization pressure values ​​of the two feed lines in the mixing chamber at each moment during the polyurea adhesive preparation period, as well as the spray thermal image of the spray area at the corresponding moment. The feature analysis module is used to obtain the feeding work value and spray vibration response value at each time step based on the difference in polymerization pressure value between the two feeding pipelines at each time step and the location of the heat core feature of the spray thermal image. The flow resistance characteristic analysis module is used to obtain the fluid transmission delay time at each moment based on the degree of cross-correlation between the material feeding work value and the spray vibration response value within the preset analysis period at each moment. The energy efficiency analysis module is used to obtain the kinetic energy transfer conversion ratio at each moment based on the change ratio of the spray vibration response value to the work done by the material supply within the preset analysis period at each moment. The component state detection module is used to select a self-calibration period and a working period from the preparation period; based on the fluid transmission delay time and kinetic energy transfer conversion ratio at each moment in the working period, and the degree of change of the corresponding data in the self-calibration period, the component state in the mixing chamber is detected.

[0015] The present invention has the following beneficial effects: Firstly, by extracting the difference in polymerization pressure values ​​between the two pipelines as the effective net driving force, i.e., the work done by the material supply, and combining the thermal core trajectory characteristics of the spray thermal image to obtain the spray shaking response value, a digital input-output model of fluid dynamics was constructed. This model maps macroscopically measurable pressure and image signals into quantitative indicators that reflect the microscopic mixing energy transfer process, thereby overcoming the limitation that macroscopic detection indicators cannot characterize the microscopic mixing state.

[0016] Secondly, based on the cross-correlation between the feed work value and the spray turbulence response value, the phase lag of the pressure-spray response is captured, reflecting the narrowing of the flow channel and increased impedance caused by coking on the inner wall of the mixing chamber, thus achieving microscopic monitoring of the flow channel's physical properties. By using the ratio of the spray turbulence response to the feed work value, the efficiency of converting pressure potential energy into turbulent mixing kinetic energy is purely characterized, sensitively indicating the dissipation of mixing kinetic energy caused by nozzle wear, jet deflection, or cavitation effects. This scheme, based on the dual-dimensional decoupling of time-domain impedance and energy-domain efficiency, achieves independent diagnosis and graded blocking of two microscopic lesions: flow channel blockage and mixing failure in the mixing chamber, significantly improving the quality control accuracy of high-performance polyurea materials.

[0017] Thirdly, by comparing the fluid transmission delay time and kinetic energy transfer conversion ratio during the working period with relevant data during the self-test calibration period of the presenting equipment's own benchmark, the influence of individual equipment differences and environmental baseline drift is eliminated, which can sensitively identify the deterioration trend of micro-working conditions and achieve early and accurate warning of coking and mixing failures. Attached Figure Description

[0018] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 The flowchart illustrates the steps of a method for detecting the components of a high-performance polyurea adhesive according to an embodiment of the present invention. Figure 2 This is a structural block diagram of a component detection device for a high-performance polyurea adhesive provided in one embodiment of the present invention. Detailed Implementation

[0020] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a high-performance polyurea adhesive component detection method and apparatus proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0022] The following description, in conjunction with the accompanying drawings, details the specific scheme of the component detection method and equipment for a high-performance polyurea adhesive provided by the present invention.

[0023] Example 1: This invention proposes a method for component detection of high-performance polyurea adhesives. Please refer to [link / reference]. Figure 1 The diagram illustrates a flowchart of a method for detecting the components of a high-performance polyurea adhesive according to an embodiment of the present invention. The method includes: Step S1: Real-time acquisition of the polymerization pressure values ​​of the two feed lines in the mixing chamber at each moment during the polyurea adhesive preparation period, and the spray thermal image of the spray area at the corresponding moment.

[0024] Polyurea adhesives are typically produced by a high-pressure collision mixing reaction between isocyanate and amino compound components. The two components are separately fed into a mixing chamber, and high-frequency pressure sensors are installed on the isocyanate and amino resin supply lines connected to the mixing chamber. Both pressure sensors synchronously and in real-time acquire the instantaneous fluid pressure of their respective lines at the first sampling moment at a first sampling frequency f1. Simultaneously, an industrial infrared thermal imager is positioned to target the fan-shaped spray area at the nozzle outlet of the mixing chamber. The imager acquires a real-time thermal image of the spray at the second sampling moment at a second sampling frequency f2. This thermal image reflects the cumulative energy state within a single exposure cycle, rather than being a snapshot of an instantaneous moment.

[0025] It should be noted that the fluid pressure pulsations and mixing impact processes within the feed pipeline contain high-frequency dynamic components. A higher first sampling frequency f1 ensures complete capture of these rapid fluctuations, preventing information loss. The temperature field changes in the spray area are the result of heat diffusion and accumulation, a relatively slow physical process. Therefore, the first sampling frequency f1 needs to be significantly greater than the second sampling frequency f2. In this embodiment, the first sampling frequency f1 is set to 1000 Hz, and the second sampling frequency f2 is set to 60 Hz. Implementers can set these frequencies according to specific circumstances.

[0026] To align the high-frequency discrete pressure signal with the low-frequency integral state thermal image within a physical time window, this embodiment uses the exposure cycle of the thermal image as a reference to aggregate the high-frequency pressure signal, where a single exposure cycle is the time interval between every two adjacent second sampling moments. The arithmetic mean of the instantaneous fluid pressure at each pipeline at each second sampling moment and the preceding adjacent second sampling moment is calculated to obtain the aggregated pressure value for the corresponding pipeline at each second sampling moment. The high-frequency discrete pressure data is then aggregated in a dimension-reduced manner, and the second sampling moment is defined as the time for unified analysis in subsequent steps. This yields the aggregated pressure value for each moment within the polyurea adhesive preparation period for both feed pipelines, using the second sampling frequency f2 as the time reference, along with the corresponding spray thermal image. The start time of the polyurea adhesive preparation period is when the feed pumps for the isocyanate component and the amino compound component start simultaneously, and the end time is when both feed pumps shut down simultaneously.

[0027] Step S2: Based on the difference in polymerization pressure between the two feed pipelines at each time point and the location of the thermal core characteristics in the spray thermal image, obtain the feed work value and spray vibration response value at each time point.

[0028] The pressure values ​​in the pipelines include common-mode interference caused by system back pressure fluctuations. The difference in polymerization pressure values ​​between the two feed pipelines can eliminate common-mode interference, accurately extracting the effective net driving force that drives the collisional mixing of isocyanate and amino resin in the mixing chamber, i.e., the true input energy source of the system. The location of the thermal core features in the spray thermal image reflects the physical trajectory of the flow, representing the system's mechanical response to pressure excitation. The work done by the feed and the spray jitter response constitute the input-output model of the fluid dynamics system, enabling the digitization and quantification of microscopic physical processes.

[0029] Step S3: Based on the degree of cross-correlation between the material supply work value and the spray vibration response value within the preset analysis period at each moment, obtain the fluid transmission delay time at each moment.

[0030] As mixing progresses, reaction residues from the isocyanate and amino resin gradually accumulate on the inner wall of the mixing chamber, leading to narrowing of the flow channel cross-section and increased inner wall roughness. This change in physical properties significantly increases the viscous frictional resistance of the fluid, causing the time for pressure pulsations generated by the feed pump to travel to the nozzle outlet to increase. The cross-correlation between the feed work value and the spray tremor response value can accurately capture the phase lag of the waveform, revealing the time consumed in the energy transfer process from feed fluctuations to spray tremors, thus decoupling the physical phenomenon of increased flow resistance caused by coking.

[0031] In one implementation of this invention, the two seconds preceding each moment are taken as the preset analysis period, and the moments within the first two seconds of the preparation period are not subject to subsequent analysis.

[0032] Step S4: Based on the change ratio of the spray vibration response value to the material feeding work value within the preset analysis period at each moment, obtain the kinetic energy transfer conversion ratio at each moment.

[0033] The core function of the mixing chamber is to convert the pressure potential energy input from the feed pump into the kinetic energy of high-pressure collision turbulent mixing. When the nozzle experiences microscopic wear, jet angle deviation, or cavitation occurs inside the mixing chamber, the fluid kinetic energy is ineffectively dissipated, causing the nozzle outlet vibration response to decrease in amplitude relative to the input pressure excitation. Since the flow fluctuation of the feed pump itself causes simultaneous changes in the amplitude of both the input and output signals, analyzing only the spray vibration amplitude at the output end is insufficient to determine the mixing chamber state. The ratio of the spray vibration response value to the work done by the feed pump can be used to measure the efficiency of converting input fluctuation energy into output vibration kinetic energy, thus eliminating common-mode flow interference and purely reflecting the system's transmission efficiency. Therefore, the kinetic energy transfer conversion ratio is the core criterion for judging mixing efficiency-related faults.

[0034] Step S5: Select the self-calibration period and the working period from the preparation period; based on the fluid transport delay time and kinetic energy transfer conversion ratio at each moment in the working period, and the degree of change of the corresponding data in the self-calibration period, detect the state of the mixed chamber components.

[0035] Because isocyanate and amino resin molecules interpenetrate efficiently in a turbulent flow within the mixing chamber in a very short time, any microscopic blockage of the flow channels or kinetic energy dissipation will lead to uneven molecular mixing, thereby damaging the cross-linked network after material curing. The trace amount of coking on the inner wall of the mixing chamber essentially alters the physical impedance of the fluid channels, causing phase lag in pressure wave transmission; while microscopic wear of the nozzles or turbulent flow fields reduce the efficiency of fluid potential energy conversion to turbulent mixing kinetic energy. By analyzing the changes in fluid transport delay time and kinetic energy conversion ratio during the working period relative to the corresponding data during the self-calibration period, the detection logic is transformed into a judgment of relative deviation from its ideal baseline. This eliminates the influence of individual equipment differences and environmental baseline drift, enabling sensitive identification of microscopic deterioration trends and achieving early and accurate warnings of coking and mixing failures.

[0036] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the feeding work value and the spray jitter response value includes: selecting any moment as the example moment, performing region segmentation on the spray thermal image of the example moment, extracting the heat core region, and recording the centroid of the heat core region as the heat core centroid of the example moment; calculating the arithmetic mean center of the heat core centroids of all moments within a preset analysis period of the example moment, as the reference centroid of the heat core; recording the distance between the heat core centroid of the example moment and the reference centroid of the heat core as the spray deviation distance; calculating the sum of the polymerization pressure values ​​of the two feeding pipelines at the example moment, as the total pressure of the feeding pump at the corresponding moment; and performing de-meaning processing on the spray deviation distance and the total pressure of the feeding pump to obtain the spray jitter response value and the feeding work value of the example moment in sequence.

[0037] It should be noted that, in order to effectively eliminate interference information such as low background temperature and edge fog, the most intense heat core region is extracted through region segmentation. In this embodiment of the invention, the method for obtaining the heat core region includes: selecting the maximum pixel value among the pixels in the spray thermal image at the example time, and using the product of the maximum value and a preset temperature ratio as the heat core segmentation threshold; the connected region formed by pixels in the spray thermal image at the example time whose pixel values ​​are greater than the heat core segmentation threshold is used as the heat core region. Using the maximum pixel value in the spray thermal image as a benchmark, the central region with the most intense reaction can be adaptively determined. In one implementation of this embodiment of the invention, the preset temperature ratio is set to 0.8, which can be set by the implementer according to specific circumstances.

[0038] To more accurately pinpoint the thermal center and be more sensitive to subtle changes in spray morphology, a gray-scale weighted centroid method is used to extract the centroid of the thermal core region. This simplifies the complex two-dimensional image into a single representative location point, providing geometric features for subsequent quantification of spray mechanical vibration. The thermal core reference centroid represents the recent normal stable position of the spray; the deviation of the spray core from its normal stable position at the quantification example moment represents the instantaneous mechanical displacement caused by pressure pulsation, which is the system's direct dynamic response to the input excitation. The larger this distance, the worse the spray stability and the more severe the vibration.

[0039] The total pressure of the feed pump characterizes the total hydraulic potential energy driving the two-component fluids to collide under high pressure in the mixing chamber, and can be used as the input excitation signal of the fluid dynamics system. In the fluid dynamics system, the transmission characteristics of this signal implicitly contain the flow channel impedance information along the path from the pump outlet to the nozzle of the mixing chamber.

[0040] The mean spray deviation distance mainly originates from the influence of static offsets such as spray gun installation deviation, while the mean total pressure of the feed pump corresponds to the reference pressure required to overcome the inherent flow resistance of the system. These mean components belong to the static characteristics of the system. De-meaning processing of the spray deviation distance and the total pressure of the feed pump can filter out the DC reference component in the signal, thereby focusing on the AC fluctuation part characterizing the dynamic characteristics of the system and improving the accuracy of subsequent feature analysis. In this embodiment of the invention, the specific method for de-meaning processing includes: recording the spray deviation distance and the total pressure of the feed pump as data to be processed; calculating the mean of the data to be processed at all times within a preset analysis period at the example time; using the difference between the data to be processed at the example time and the mean as the de-meaned data; and recording the de-meaned data corresponding to the spray deviation distance and the total pressure of the feed pump as the spray jitter response value and the feed work value, respectively.

[0041] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the fluid transport delay time includes: arranging the feed work value and spray vibration response value of all times within a preset analysis period at each time step according to the time sequence, thereby obtaining the feed work sequence and spray vibration response sequence at each time step; calculating the normalized cross-correlation value of the feed work sequence and the spray vibration response sequence under different preset delay time indices, and selecting the delay time index corresponding to the largest normalized cross-correlation value as the initial peak index; based on the normalized cross-correlation value of the initial peak index and its adjacent previous and next delay time indices, obtaining the extreme point of the normalized cross-correlation function using parabolic interpolation, and recording the delay time index corresponding to the extreme point as the extreme delay time index; and using the product of the extreme delay time index and the time interval between two adjacent times as the fluid transport delay time at each time step.

[0042] It should be noted that the larger the normalized cross-correlation value under the delay time index, the more similar the waveform trends of the material supply work sequence and the spray jitter response sequence at each moment under the corresponding delay time index; the initial peak index most likely represents the sampling period of the thermal imager required for the input disturbance to be transmitted to the output. The delay is an integer multiple of the time. Since the actual fluid physical transport delay is continuously changing, integer indices alone cannot capture minute coking changes. Therefore, this embodiment uses the peak value and its left and right adjacent points to fit a parabola, estimating the horizontal coordinate of the parabola peak value, i.e., the extreme delay time index, which can detect minute impedance changes at the millisecond level. Multiplying the extreme delay time index by the time interval between two adjacent moments can restore the true physical time value, so that the fluid transport delay time directly reflects the unobstructedness of the mixing chamber channel, i.e., the impedance. If the fluid transport delay time is larger, the system response phase lag is more severe from the occurrence of pressure excitation to the thermal imager capturing the change in spray pattern, indicating that the impedance of the mixing chamber channel is larger, which means that the degree of coking in the mixing chamber is more severe.

[0043] In one implementation of this invention, the method for determining the preset delay time index includes: estimating the theoretical maximum physical delay of pressure wave propagation based on the pipeline length from the feed pump to the nozzle and the average fluid velocity; and comparing the theoretical maximum physical delay with the sampling period of the thermal imager. The ratio is rounded up to obtain the maximum number of search frames, Nlag; the value of the delay time index is an integer between 0 and Nlag frames.

[0044] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the kinetic energy transfer conversion ratio includes: calculating the root mean square value of the material feeding work value and the spray shaking response value at all times within the preset analysis period at each time, and recording them as the effective work value and effective response value at each time; taking the effective response value as the numerator and the sum of the effective work value and the preset positive number as the denominator to obtain the ratio, which is used as the kinetic energy transfer conversion ratio at each time.

[0045] It should be noted that the root mean square (RMS) can extract the energy amplitude of the fluctuation signal. The effective work value quantifies the effective pressure pulsation energy generated by the input feed pump, i.e., the excitation intensity driving the mixing; the effective response value quantifies the actual mechanical vibration energy generated by the output spray fan, i.e., the dynamic response intensity of the system to the excitation. The kinetic energy transfer conversion ratio characterizes the conversion rate of the mixing chamber from the input pump energy to the final output spray kinetic energy; the smaller this value, the weaker the spray response under the same pressure excitation, indicating more severe coking, blockage, or uneven mixing in the system, and increased internal losses. The kinetic energy transfer conversion ratio is a dimensionless relative efficiency index. Its physical meaning lies in characterizing the amplitude of the spray mechanical response excited by a unit hydraulic excitation intensity; it does not depend on the absolute value of the ratio, but rather on monitoring the degree of attenuation of the ratio relative to the baseline value under reference operating conditions to quantitatively assess the degradation trend of the mixing chamber's energy conversion efficiency.

[0046] It should be noted that during equipment movement, standby, or abnormal material stoppage, the effective work value at the input end may approach zero. Introducing a preset positive number into the denominator can prevent division by zero errors. The value of the preset positive number should be significantly smaller than the order of magnitude of the effective work value when the system is running normally. For example, the preset positive number can be set to 0.1 MPa.

[0047] In one implementation of this invention, the method for determining the preset delay time index includes: calculating the variance of the material feeding work value and the spray vibration response value at all times within the preset judgment period at each time moment, and recording them as the work fluctuation value and the response fluctuation value respectively; recording the start time of the preparation period as the initial time to be judged; when the work fluctuation value and the response fluctuation value of the time to be judged do not meet the preset stability condition, recording the next adjacent time moment of the time to be judged as the new time to be judged, until the work fluctuation value and the response fluctuation value of the new time to be judged meet the preset stability condition; taking the time moment to be judged that meets the preset stability condition as the stability boundary time; the preset stability condition includes: the work fluctuation value of the time to be judged is less than the preset work fluctuation threshold, and the response fluctuation value is less than the preset response fluctuation threshold; the self-calibration period is a period of preset duration after the stability boundary time; and the time period between the next adjacent time moment of the end time of the self-calibration period and the end time of the preparation period is recorded as the working period.

[0048] It should be noted that if the work fluctuation value and response fluctuation value at the time of determination meet the preset stability conditions, it means that both the feeding pressure and the spray thermal imaging characteristics have reached stability. The preset work fluctuation threshold and preset response fluctuation threshold are not fixed values, but are dynamically determined based on the inherent noise of the system at the initial stage of startup. The specific acquisition method includes: during a short initial acquisition period after the start of preparation, which is usually the time required to complete 1 to 2 overall replacements of the contents of the mixing chamber, the sample variance of the feeding work value and the spray jitter response value at each moment during this acquisition period is calculated; based on a statistical inference model (such as chi-square distribution), the confidence upper limits of the two sample variances are calculated respectively, and the two confidence upper limits are set as the preset work fluctuation threshold and the preset response fluctuation threshold respectively.

[0049] In this embodiment of the invention, the five seconds preceding each moment are taken as the preset judgment period; the judgment is made directly from the fifth second after the preparation period to determine whether the preset stability condition is met.

[0050] Since the data before the stable boundary is unstable, the initial stable period is set as the self-calibration period. This period usually corresponds to the stable state of the equipment, at which time the fluid transmission delay time and kinetic energy transfer conversion ratio can represent the ideal reference state. In this embodiment of the invention, the duration of the self-calibration period should be much shorter than the duration of the working period. The preset duration, i.e., the duration of the self-calibration period, can be set to 30 seconds, which can be set by the implementer according to the specific situation.

[0051] Preferably, in some possible implementations of the embodiments of the present invention, the method for component state detection includes: calculating the arithmetic average of the fluid transport delay time and the kinetic energy transfer conversion ratio at all times during the self-calibration period, and recording them as the reference delay time and the reference conversion ratio respectively; for each time moment during the working period, taking the ratio of the fluid transport delay time to the reference delay time as the delay growth rate; taking the ratio of the kinetic energy transfer conversion ratio to the reference conversion ratio at each time moment as the conversion attenuation rate; if the delay growth rate at each time moment is greater than a preset flow resistance tolerance coefficient, then the mixing chamber is in a coking state at the corresponding time moment; if the conversion attenuation rate at each time moment is less than a preset efficiency tolerance coefficient, then the mixing chamber is in a mixing failure state at the corresponding time moment.

[0052] It should be noted that the physical essence of coking on the inner wall of the mixing chamber is the narrowing of the flow channel cross-section and the increase in frictional resistance. This increases fluid resistance, prolonging the time it takes for the pressure wave generated by the feed pump to reach the nozzle outlet. Therefore, an increase in the delay rate indicates a deeper degree of coking. The preset flow resistance tolerance coefficient should be greater than 1 to monitor abnormal increases in flow resistance. Mixing failure (such as nozzle wear or jet angle deviation) is essentially the disruption of the high-pressure fluid collision mechanism, causing the input hydraulic potential energy to fail to be effectively converted into turbulent mixing kinetic energy. Instead, it is dissipated as ineffective heat energy or laminar flow, resulting in a decrease in the amplitude of the mechanical vibration response at the nozzle outlet relative to the input pressure excitation. Therefore, a decrease in the conversion attenuation rate directly indicates a decrease in mixing energy efficiency. The preset efficiency tolerance coefficient should be less than 1 to monitor abnormal decreases in mixing efficiency.

[0053] In one implementation of this invention, by simulating different degrees of microscopic coking and nozzle wear conditions in an experiment, the corresponding fluid transport delay time growth rate and kinetic energy transfer conversion ratio attenuation rate are determined as safety boundaries when the physical properties (such as tensile strength and peel strength) of the polyurea adhesive begin to decline to the unqualified critical point. These are recorded as preset flow resistance tolerance coefficient and preset efficiency tolerance coefficient, respectively. For example, the preset flow resistance tolerance coefficient is set to 1.15 and the preset efficiency tolerance coefficient is set to 0.85.

[0054] It is important to note that due to the limitations of pipeline length and fluid compressibility, the transmission of fluid pressure waves from the feed pump to the nozzle outlet inevitably involves a physical transmission delay, thus the reference delay time is positive. Simultaneously, during normal spraying operations, the pressure input from the feed pump inevitably induces mechanical response vibrations in the spray pattern, resulting in both the input work and the output response having energy amplitudes greater than zero, thereby ensuring a positive reference conversion ratio.

[0055] This invention is now complete.

[0056] Example 2: Figure 2 The diagram shows a structural block diagram of a component detection device for a high-performance polyurea adhesive according to an embodiment of the present invention. The device includes: a data acquisition module, a feature analysis module, a flow resistance characteristic analysis module, an energy efficiency analysis module, and a component state detection module.

[0057] The data acquisition module 610 is used to acquire in real time the polymerization pressure values ​​of the two feed pipelines in the mixing chamber at each moment during the polyurea adhesive preparation period, as well as the spray thermal image of the spray area at the corresponding moment. The feature analysis module 620 is used to obtain the feeding work value and spray vibration response value at each time step based on the difference in polymerization pressure value between the two feeding pipelines at each time step and the location of the heat core feature of the spray thermal image. The flow resistance characteristic analysis module 630 is used to obtain the fluid transmission delay time at each moment based on the degree of cross-correlation between the material feeding work value and the spray shaking response value within the preset analysis period at each moment. The energy efficiency analysis module 640 is used to obtain the kinetic energy transfer conversion ratio at each moment based on the change ratio of the spray vibration response value to the work done by the material supply during the preset analysis period at each moment. The component state detection module 650 is used to select the self-calibration period and the working period from the preparation period; based on the fluid transmission delay time and kinetic energy transfer conversion ratio at each moment in the working period, and the degree of change of the corresponding data in the self-calibration period, the component state in the mixing chamber is detected.

[0058] It should be noted that the information interaction and execution process between the above modules are based on the same concept as the component detection device and component detection method of the high-performance polyurea adhesive provided in the above embodiments. The specific implementation process can be found in the method embodiments, and will not be repeated here.

[0059] Example 3: This embodiment also provides a computer-readable storage medium storing computer program code. When the computer program code is run on a computer, the computer executes the above-described related method steps to implement the component detection method for a high-performance polyurea adhesive provided in the above embodiment.

[0060] Example 4: This embodiment also provides a computer program product that, when run on a computer, causes the computer to perform the aforementioned steps to implement the component detection method for a high-performance polyurea adhesive provided in the above embodiment.

[0061] In this embodiment, the apparatus, computer-readable storage medium, or computer program product are all used to execute the corresponding methods provided above. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0062] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0063] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0064] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for detecting the components of a high-performance polyurea adhesive, characterized in that, The method includes: The polymerization pressure values ​​of the two feed lines in the mixing chamber at each moment during the polyurea adhesive preparation period are acquired in real time, as well as the spray thermal image of the spray area at the corresponding moment. Based on the difference in polymerization pressure between the two feed pipelines at each time point and the location of the heat core characteristics in the spray thermal image, the feed work value and spray vibration response value at each time point are obtained. Based on the degree of cross-correlation between the material feeding work value and the spray vibration response value within the preset analysis period at each moment, the fluid transmission delay time at each moment is obtained; Based on the change ratio of the spray vibration response value to the material feeding work value within the preset analysis period at each moment, the kinetic energy transfer conversion ratio at each moment is obtained; Select a self-calibration period and a working period from the preparation period; based on the fluid transmission delay time and kinetic energy transfer conversion ratio at each moment within the working period, and the degree of change of the corresponding data within the self-calibration period, detect the state of the mixed indoor components.

2. The method for component detection of a high-performance polyurea adhesive according to claim 1, characterized in that, The acquisition of the feeding work value and spray vibration response value at each moment includes: Choose any time point as the example time point, segment the spray thermal image at the example time point, extract the thermal core region, and record the centroid of the thermal core region as the thermal core centroid at the example time point; The arithmetic mean center of the thermal core centroids at all times within the preset analysis period of the example time is calculated and used as the reference thermal core centroid; the distance between the thermal core centroid at the example time and the reference thermal core centroid is recorded as the spray deviation distance. Calculate the sum of the polymerization pressure values ​​of the two feed lines at the example time, and use it as the total feed pump pressure at the corresponding time. The spray deviation distance and the total pressure of the feed pump are respectively subjected to de-averaging processing to obtain the spray jitter response value and the feed work value at the example time.

3. The method for component detection of a high-performance polyurea adhesive according to claim 1, characterized in that, The process of obtaining the fluid transport delay time at each moment includes: The material feeding work value and the spray shaking response value of all times within the preset analysis period of each time are arranged in time sequence to obtain the material feeding work sequence and the spray shaking response sequence of each time. Calculate the normalized cross-correlation values ​​of the feeding work sequence and the spray shaking response sequence under different preset delay time indices, and select the delay time index corresponding to the largest normalized cross-correlation value as the initial peak index; Based on the initial peak index and the normalized cross-correlation value under its adjacent previous and next delay time indices, the extreme points of the normalized cross-correlation function are obtained by parabolic interpolation, and the delay time index corresponding to the extreme point is recorded as the extreme delay time index. The product of the extreme delay time index and the time interval between two adjacent moments is used as the fluid transport delay time at each moment.

4. The method for component detection of a high-performance polyurea adhesive according to claim 1, characterized in that, The process of obtaining the kinetic energy transfer conversion ratio at each moment includes: Calculate the root mean square values ​​of the material feeding work value and the spray vibration response value for all times within the preset analysis period at each time moment, and record them as the effective work value and effective response value for each time moment in turn; The ratio obtained by taking the effective response value as the numerator and the sum of the effective work value and the preset positive number as the denominator is used as the kinetic energy transfer conversion ratio at each moment.

5. The method for component detection of a high-performance polyurea adhesive according to claim 1, characterized in that, The detection of the mixed indoor component status includes: Calculate the arithmetic average of the fluid transmission delay time and the kinetic energy transfer conversion ratio at all times during the self-test calibration period, and record them as the reference delay time and the reference conversion ratio respectively. For each moment within the working period, the ratio of the fluid transport delay time at each moment to the reference delay time is taken as the delay growth rate; the ratio of the kinetic energy transfer conversion at each moment to the reference conversion ratio is taken as the conversion attenuation rate. If the delay growth rate at each moment is greater than the preset flow resistance tolerance coefficient, the mixing chamber is in a coking state at the corresponding moment; if the conversion attenuation rate at each moment is less than the preset efficiency tolerance coefficient, the mixing chamber is in a mixing failure state at the corresponding moment.

6. The method for component detection of a high-performance polyurea adhesive according to claim 2, characterized in that, The step of segmenting the spray thermal image at the example time and extracting the heat core region includes: The maximum value of the pixel in the spray thermal image at the example time is selected, and the product of the maximum value and the preset temperature ratio is used as the thermal core segmentation threshold. The connected region consisting of pixels whose pixel values ​​in the spray thermal image at the example time are greater than the thermal core segmentation threshold is taken as the thermal core region.

7. The method for component detection of a high-performance polyurea adhesive according to claim 5, characterized in that, The preset flow resistance tolerance coefficient is greater than 1, and the preset efficiency tolerance coefficient is less than 1.

8. The method for component detection of a high-performance polyurea adhesive according to claim 2, characterized in that, The centroid of the thermonuclear region is obtained by using the gray-weighted centroid method.

9. The method for component detection of a high-performance polyurea adhesive according to claim 1, characterized in that, The selection of the self-test calibration period and the working period from the preparation period includes: Calculate the variance of the material feeding work value and the spray shaking response value for all times within the preset judgment period at each time moment, and record them as the work fluctuation value and the response fluctuation value respectively. The start time of the preparation period is recorded as the initial time to be determined. When the work fluctuation value and response fluctuation value of the time to be determined do not meet the preset stability condition, the next adjacent time of the time to be determined is recorded as the new time to be determined, until the work fluctuation value and response fluctuation value of the new time to be determined meet the preset stability condition. The time to be determined that meets the preset stability condition is taken as the stability boundary time. The preset stability conditions include: the work fluctuation value at the time to be determined is less than the preset work fluctuation threshold, and the response fluctuation value is less than the preset response fluctuation threshold. The self-calibration period is a preset duration that continues after the stable boundary time; the time interval between the next adjacent time after the end time of the self-calibration period and the end time of the preparation period is recorded as the working period.

10. A component detection device for high-performance polyurea adhesives, characterized in that, The device includes: The data acquisition module is used to acquire in real time the polymerization pressure values ​​of the two feed lines in the mixing chamber at each moment during the polyurea adhesive preparation period, as well as the spray thermal image of the spray area at the corresponding moment. The feature analysis module is used to obtain the feeding work value and spray vibration response value at each time step based on the difference in polymerization pressure value between the two feeding pipelines at each time step and the location of the heat core feature of the spray thermal image. The flow resistance characteristic analysis module is used to obtain the fluid transmission delay time at each moment based on the degree of cross-correlation between the material feeding work value and the spray vibration response value within the preset analysis period at each moment. The energy efficiency analysis module is used to obtain the kinetic energy transfer conversion ratio at each moment based on the change ratio of the spray vibration response value to the work done by the material supply within the preset analysis period at each moment. The component state detection module is used to select a self-calibration period and a working period from the preparation period; based on the fluid transmission delay time and kinetic energy transfer conversion ratio at each moment in the working period, and the degree of change of the corresponding data in the self-calibration period, the component state in the mixing chamber is detected.

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