Rapid detection and evaluation method for bituminous pavement self-healing microcapsules

Abstract

The invention discloses a rapid detection and evaluation method of asphalt pavement self-healing microcapsules, and relates to the technical field of asphalt repair materials.The method comprises the steps that an asphalt sample is placed in a heating device and heated to a certain temperature, repeated pressure loads are applied to the sample through a mechanical device, the heavy pressure of wheels on the pavement is simulated, and the asphalt pavement self-healing microcapsules are obtained; the expansion condition of the crack is monitored in real time through an optical imaging system; after thermal excitation and stress excitation for a period of time, stopping heating and pressing, and turning to use a precision sensor to carry out crack closing monitoring; a self-healing effect comprehensive evaluation mechanism is established, influence results of thermal excitation and stress excitation are integrated through monitoring data, and a comprehensive self-healing effect evaluation report is formed. By combining thermal excitation and stress excitation, real-time monitoring of the crack state is realized by adopting the optical imaging system and the precision sensor, data such as crack expansion and closure conditions can be quickly obtained, and the accuracy and timeliness of evaluation are improved.

Description

Technical Field

[0001] The invention relates to the technical field of asphalt repair materials, and in particular to a method for rapid detection and evaluation of self-healing microcapsules of asphalt pavement. Background Art

[0002] In modern transportation infrastructure, the durability and self-healing ability of asphalt pavement are crucial to ensure road safety and extend service life. With the acceleration of urbanization, the sharp increase in traffic flow and the increasing vehicle load, asphalt pavement is frequently affected by environmental factors such as high temperature and heavy pressure, resulting in cracks. These cracks not only affect the flatness and driving safety of the road surface, but may also cause more serious structural damage and even lead to traffic accidents.

[0003] Current repair technologies mainly rely on traditional methods, such as filling cracks or resurfacing, which are usually time-consuming and costly, and it is difficult to solve the needs of automatic repair of small cracks. Therefore, it is particularly urgent to develop an asphalt material that can automatically repair cracks after they appear.

[0004] However, the existing technology for testing the self-healing effect of asphalt pavement often relies on long-term laboratory tests, which cannot meet the needs of rapid feedback in practical applications. This results in the inability to timely evaluate the repair effect of self-healing materials after cracks appear; and the current self-healing effect evaluation methods are mostly based on experience, lacking unified standards and systematic processes, resulting in poor reliability and consistency of test results. Summary of the invention

[0005] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0006] In view of the problems existing in the above-mentioned existing method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement, the present invention is proposed.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] A method for rapid detection and evaluation of self-healing microcapsules in asphalt pavement, characterized by comprising:

[0009] Step 1: Place the asphalt sample in a heating device and raise it to a certain temperature to simulate the thermal environment of the asphalt pavement during the high temperature of summer. When the temperature rises to the target value, apply repeated pressure loads to the sample through a mechanical device to simulate the heavy pressure of the wheels on the road surface. As the temperature and pressure change, the microcapsules in the asphalt will rupture at the cracks and release the repair material.

[0010] Step 2: Using an optical imaging system, the crack expansion is monitored in real time while applying thermal and stress excitations;

[0011] Step 3: After a period of thermal and stress excitation, stop heating and pressurizing, and switch to using precision sensors to monitor crack closure;

[0012] Step 4: Establish a comprehensive evaluation mechanism for self-healing effects, integrate the monitoring data with the impact results of thermal excitation and stress excitation, and form a comprehensive self-healing effect evaluation report.

[0013] As a preferred solution of the method for rapid detection and evaluation of self-healing microcapsules of asphalt pavement of the present invention, the crack closure monitoring includes: width change monitoring and temperature change monitoring;

[0014] Width change monitoring, that is, using precision sensors to detect the width change of crack closure to evaluate the repair effect of the self-healing material; then, re-apply a smaller stress load to observe whether the crack reopens;

[0015] Temperature change detection is to use a thermal imager to analyze the heat distribution in the crack area to further determine the repair effect.

[0016] As a preferred solution of the method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement of the present invention, the self-healing effect comprehensive evaluation mechanism specifically includes:

[0017] S401: During the evaluation period, real-time monitoring of crack width changes, temperature, and applied pressure;

[0018] S402: Establishing a crack closure rate function C(t), and calculating the crack closure rate function C(t) according to the crack width change;

[0019] S403: Establishing a thermal excitation effect function H(T(t)), and calculating the thermal excitation effect function H(T(t)) using temperature data;

[0020] S404: establishing a stress excitation effect function S(P(t)), and calculating the stress excitation effect function using the applied pressure;

[0021] S405: Integrate the calculation results of the above functions, use integration to consider various factors within time, and provide a dynamic, comprehensive evaluation value E of the self-healing effect.

[0022] As a preferred solution of the method for rapid detection and evaluation of self-healing microcapsules of asphalt pavement of the present invention, the expression formula of the crack closure rate function C(t) is:

[0023]

[0024] Where W0 is the initial crack width, W t is the crack width at time t;

[0025] The thermal excitation effect function H(T(t)) is expressed as:

[0026]

[0027] Among them, T opt is the optimal repair temperature, α is the adjustment coefficient used to adjust the thermal excitation effect function, which is used to control the influence of temperature on the performance of self-healing materials;

[0028] The stress excitation effect function S(P(t)) is expressed as:

[0029]

[0030] Among them, P i (t) is the component of different applied pressures, and β is the adjustment coefficient for adjusting the stress excitation effect function, which is used to control the influence of applied pressure on the performance of the self-healing material.

[0031] As a preferred solution of the method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement of the present invention, the calculation formula of the comprehensive evaluation value E of the self-healing effect is:

[0032]

[0033] Among them, t0, t f They represent the start and end time of the evaluation time, E∈[0,1], 0 means the self-healing effect is extremely poor and the crack is not closed, 1 means the self-healing effect is extremely good and the crack is completely closed.

[0034] As a preferred solution of the method for rapid detection and evaluation of self-healing microcapsules in asphalt pavement of the present invention, the credibility C is established according to the self-healing effect.

[0035]

[0036] Among them, Emax is the maximum self-healing effect value that can be achieved in the evaluation, and F is the factor affecting the credibility;

[0037] If the credibility C of the self-healing effect evaluation model is greater than the first threshold C1, the self-healing effect evaluation result is determined to be credible, and corresponding construction decisions can be made;

[0038] If the credibility C is less than the second threshold C2, the evaluation result is determined to be unreliable and the self-healing effect evaluation needs to be performed again;

[0039] If the credibility C is greater than or equal to the second threshold C2 and less than or equal to the first threshold C1, the credibility of the evaluation result is determined to be average and a cautious decision is required.

[0040] As a preferred solution of the method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement of the present invention, if the credibility C is greater than the first threshold C1 for N consecutive times, it is determined that the accuracy of the self-healing effect evaluation result is high, and the weight of the relevant prediction results can be considered to be increased;

[0041] If the confidence C is less than the second threshold C2 for N consecutive times, it is determined that the accuracy of the self-healing effect evaluation result is low, and the adjustment weight of the confidence index needs to be increased.

[0042] An evaluation system for the above-mentioned rapid detection and evaluation method of self-healing microcapsules for asphalt pavement comprises:

[0043] The heating and stress excitation module simulates the high temperature environment in summer and the heavy pressure of wheels on the road to provide thermal and stress excitation; the real-time monitoring and imaging module is used to capture the crack expansion in real time and analyze the crack changes through the optical imaging system;

[0044] The data analysis module analyzes and processes the collected data to calculate the crack closure rate, thermal excitation effect, and stress excitation effect; the self-healing effect evaluation module is used to integrate the data analysis results and generate a comprehensive evaluation value of the self-healing effect;

[0045] The report generation module automatically generates a detailed self-healing effect evaluation report based on the analysis results.

[0046] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the above-mentioned method for rapid detection and evaluation of self-healing microcapsules of asphalt pavement are implemented.

[0047] A computer-readable storage medium having a computer program stored thereon, characterized in that: when the computer program is executed by a processor, the steps of the above-mentioned method for rapid detection and evaluation of self-healing microcapsules of asphalt pavement are implemented.

[0048] Beneficial effects of the present invention:

[0049] 1. The method of the present invention combines thermal excitation and stress excitation, uses an optical imaging system and precision sensors to achieve real-time monitoring of the crack state, and can quickly obtain data such as crack expansion and closure, thereby improving the accuracy and timeliness of the assessment;

[0050] 2. The method of the present invention conducts performance evaluation under high temperature and heavy load conditions to ensure the effectiveness of self-healing materials in various environments, thereby improving the overall safety and durability of roads. By establishing a comprehensive evaluation mechanism for self-healing effects, it promotes the intelligent and systematic research and development of materials, lays the foundation for future applications of intelligent materials, and promotes innovation and progress in related technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0052] Figure 1 This is a schematic diagram of the overall structure of a method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement proposed by the present invention;

[0053] Figure 2 This is a simulated experimental data diagram of a rapid detection and evaluation method for self-healing microcapsules in asphalt pavement proposed by the present invention. DETAILED DESCRIPTION

[0054] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0055] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0056] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0057] Reference Figure 1, as an embodiment of the present invention, provides a method for rapid detection and evaluation of self-healing microcapsules in asphalt pavement, the method comprising the following steps:

[0058] Step 1: Place the asphalt sample in a heating device and raise it to a certain temperature to simulate the thermal environment of the asphalt pavement during high temperatures in summer. When the temperature rises to the target value, apply repeated pressure loads to the sample through a mechanical device to simulate the heavy pressure of the wheels on the road. As the temperature and pressure change, the microcapsules in the asphalt will rupture at the cracks and release repair materials. In order to simulate the crack formation and self-healing process of an actual asphalt pavement under high temperature and heavy pressure conditions, the generation and expansion of cracks are first accelerated through the coordination of thermal excitation (heating) and stress excitation (pressure).

[0059] Step 2: Through the optical imaging system, the crack expansion is monitored in real time while applying thermal excitation and stress excitation. Through this real-time monitoring, the different effects of thermal excitation and stress excitation on the crack expansion speed and the specific time of the release of the microcapsule repair material can be seen, thereby verifying whether the self-healing process is effectively triggered.

[0060] Step 3: After a period of thermal and stress excitation, stop heating and pressurizing, and switch to using precision sensors to monitor crack closure;

[0061] Specifically, crack closure monitoring includes: width change monitoring, and temperature change monitoring;

[0062] Width change monitoring, that is, using precision sensors to detect the width change of crack closure to evaluate the repair effect of the self-healing material; then, re-apply a smaller stress load to observe whether the crack reopens;

[0063] Temperature change detection is to use a thermal imager to analyze the heat distribution in the crack area to further determine the repair effect.

[0064] Step 4: Establish a comprehensive evaluation mechanism for self-healing effects, integrate the monitoring data with the impact results of thermal excitation and stress excitation, and form a comprehensive self-healing effect evaluation report.

[0065] Specifically, the comprehensive evaluation mechanism of self-healing effect includes:

[0066] S401: During the evaluation period, real-time monitoring of crack width changes, temperature, and applied pressure;

[0067] S402: Establishing a crack closure rate function C(t), and calculating the crack closure rate function C(t) according to the crack width change;

[0068] The expression formula of the crack closure rate function C(t) is:

[0069]

[0070] Where W0 is the initial crack width, W t is the crack width at time t.

[0071] S403: Establishing a thermal excitation effect function H(T(t)), and calculating the thermal excitation effect function H(T(t)) using temperature data;

[0072]

[0073] Among them, T opt is the optimal repair temperature, and α is the adjustment coefficient used to adjust the thermal excitation effect function, which is used to control the influence of temperature on the performance of self-healing materials.

[0074] S404: establishing a stress excitation effect function S(P(t)), and calculating the stress excitation effect function using the applied pressure;

[0075] The expression formula of stress excitation effect function S(P(t)) is:

[0076]

[0077] Among them, P i (t) is the component of different applied pressures, and β is the adjustment coefficient for adjusting the stress excitation effect function, which is used to control the influence of applied pressure on the performance of the self-healing material.

[0078] S405: Integrate the calculation results of the above functions, use integration to consider various factors within time, and provide a dynamic, comprehensive evaluation value E of the self-healing effect.

[0079] The calculation formula of the comprehensive evaluation value E of the self-healing effect is:

[0080]

[0081] Among them, t0, t f They represent the start and end time of the evaluation time, E∈[0,1], 0 means the self-healing effect is extremely poor and the crack is not closed, 1 means the self-healing effect is extremely good and the crack is completely closed.

[0082] In addition, the credibility C is established based on the self-healing effect

[0083]

[0084] Among them, E max is the maximum self-healing effect value that can be achieved in the evaluation, and F is a factor that affects the credibility; such as the number of samples.

[0085] If the credibility C of the self-healing effect evaluation model is greater than the first threshold C1, the self-healing effect evaluation result is judged to be credible and the corresponding construction decision can be made; if the credibility C is less than the second threshold C2, the evaluation result is judged to be unreliable and the self-healing effect evaluation needs to be re-performed; if the credibility C is greater than or equal to the second threshold C2 and less than or equal to the first threshold C1, the credibility of the evaluation result is judged to be general and a cautious decision needs to be made.

[0086] If the credibility C is greater than the first threshold C1 for N consecutive times, it is determined that the accuracy of the self-healing effect evaluation result is high, and the weight of the relevant prediction result can be considered to be increased; if the credibility C is less than the second threshold C2 for N consecutive times, it is determined that the accuracy of the self-healing effect evaluation result is low, and the adjustment weight of the confidence index needs to be increased.

[0087] Reference Figure 2 ,The formula and effectiveness of the comprehensive evaluation of the self-healing effect are verified by simulation data.,Assume that a certain asphalt pavement material contains microcapsule repair agent, and it is evaluated under different temperature and stress,conditions;

[0088] Changes in crack width: This figure shows the changes in crack width of asphalt pavement over time. As time goes by, the crack width decreases significantly, gradually decreasing from 1.0mm to 0.0mm. This shows that the self-healing material effectively repairs the cracks under high temperature and pressure conditions, reflecting its good repair ability;

[0089] Changes in crack closure rate: This graph depicts the changes in crack closure rate over time. Starting from 0%, it reached 100% closure rate at the 4th time point. This shows that the self-healing material can completely close the crack under certain conditions, verifying its effectiveness in repair performance;

[0090] Changes in thermal stimulation effect: This figure shows the effect of thermal stimulation on the self-healing effect. As time goes by, the thermal stimulation effect gradually increases and reaches a peak at a certain point in time, followed by slight fluctuations. This shows that thermal stimulation plays a key role in promoting the rupture of microcapsules and the release of repair materials;

[0091] Changes in stress excitation effect: This figure shows the effect of stress excitation on the self-healing material. The stress excitation effect gradually increases with time and eventually approaches 1.0. This shows that under stress, the self-healing material exhibits good tolerance and repair ability and can effectively resist external pressure.

[0092] The evaluation system for the rapid detection and evaluation method of the self-healing microcapsules of asphalt pavement is characterized in that the system comprises:

[0093] The heating and stress excitation module simulates the high temperature environment in summer and the heavy pressure of wheels on the road to provide thermal and stress excitation; the real-time monitoring and imaging module is used to capture the crack expansion in real time and analyze the crack changes through the optical imaging system;

[0094] The data analysis module analyzes and processes the collected data to calculate the crack closure rate, thermal excitation effect, and stress excitation effect. The self-healing effect evaluation module is used to integrate the data analysis results and generate a comprehensive evaluation value of the self-healing effect. The report generation module automatically generates a detailed self-healing effect evaluation report based on the analysis results.

[0095] The present invention combines thermal excitation and stress excitation, and adopts optical imaging systems and precision sensors to realize real-time monitoring of crack status. It can quickly obtain data such as crack expansion and closure, improve the accuracy and timeliness of evaluation, and perform performance evaluation under high temperature and heavy load conditions to ensure the effectiveness of self-healing materials in various environments, thereby improving the overall safety and durability of roads. By establishing a comprehensive evaluation mechanism for self-healing effects, it promotes the intelligence and systematization of material research and development, lays the foundation for future applications of intelligent materials, and promotes innovation and progress in related technologies.

[0096] This embodiment also provides a computer device, which is suitable for a method for rapid detection and evaluation of self-healing microcapsules in asphalt pavement, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement a method for rapid detection and evaluation of self-healing microcapsules in asphalt pavement as proposed in the above embodiment.

[0097] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0098] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, a rapid detection and evaluation method for self-healing microcapsules in asphalt pavement is implemented as proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, disk or optical disk.

[0099] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement, characterized in that: include: Step 1: Place the asphalt sample in a heating device and raise it to a certain temperature to simulate the thermal environment of the asphalt pavement during the high temperature of summer. When the temperature rises to the target value, apply repeated pressure loads to the sample through a mechanical device to simulate the heavy pressure of the wheels on the road surface. As the temperature and pressure change, the microcapsules in the asphalt will rupture at the cracks and release the repair material. Step 2: Using an optical imaging system, the crack expansion is monitored in real time while applying thermal and stress excitations; Step 3: After a period of thermal and stress excitation, stop heating and pressurizing, and switch to using precision sensors to monitor crack closure; Step 4: Establish a comprehensive evaluation mechanism for self-healing effects, integrate the monitoring data with the impact results of thermal excitation and stress excitation, and form a comprehensive self-healing effect evaluation report.

2. The method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement according to claim 1 is characterized by: The crack closure monitoring includes: width change monitoring, and temperature change monitoring; Width change monitoring, that is, using precision sensors to detect the width change of crack closure to evaluate the repair effect of the self-healing material; then, re-apply a smaller stress load to observe whether the crack reopens; Temperature change detection is to use a thermal imager to analyze the heat distribution in the crack area to further determine the repair effect.

3. The method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement according to claim 2 is characterized by: The self-healing effect comprehensive evaluation mechanism specifically includes: S401: During the evaluation period, real-time monitoring of crack width changes, temperature, and applied pressure; S402: Establishing a crack closure rate function C(t), and calculating the crack closure rate function C(t) according to the crack width change; S403: Establishing a thermal excitation effect function H(T(t)), and calculating the thermal excitation effect function H(T(t)) using temperature data; S404: establishing a stress excitation effect function S(P(t)), and calculating the stress excitation effect function using the applied pressure; S405: Integrate the calculation results of the above functions, use integration to consider various factors within time, and provide a dynamic, comprehensive evaluation value E of the self-healing effect.

4. The method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement according to claim 3 is characterized by: The expression formula of the crack closure rate function C(t) is: Where W0 is the initial crack width, W t is the crack width at time t; The thermal excitation effect function H(T(t)) is expressed as: Among them, T opt is the optimal repair temperature, α is the adjustment coefficient used to adjust the thermal excitation effect function, which is used to control the influence of temperature on the performance of self-healing materials; The stress excitation effect function S(P(t)) is expressed as: Among them, P i (t) is the component of different applied pressures, and β is the adjustment coefficient for adjusting the stress excitation effect function, which is used to control the influence of applied pressure on the performance of the self-healing material.

5. The method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement according to claim 4 is characterized by: The calculation formula of the comprehensive evaluation value E of the self-healing effect is: Among them, t0, t f They represent the start and end time of the evaluation time, E∈[0,1], 0 means the self-healing effect is extremely poor and the crack is not closed, 1 means the self-healing effect is extremely good and the crack is completely closed.

6. The method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement according to claim 5 is characterized by: Establish credibility C based on self-healing effect Among them, E max is the maximum self-healing effect value that can be achieved in the evaluation, and F is the factor that affects the credibility; If the credibility C of the self-healing effect evaluation model is greater than the first threshold C1, the self-healing effect evaluation result is determined to be credible, and corresponding construction decisions can be made; If the credibility C is less than the second threshold C2, the evaluation result is determined to be unreliable and the self-healing effect evaluation needs to be performed again; If the credibility C is greater than or equal to the second threshold C2 and less than or equal to the first threshold C1, the credibility of the evaluation result is determined to be average and a cautious decision is required.

7. The method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement according to claim 6 is characterized by: If the credibility C is greater than the first threshold C1 for N consecutive times, it is determined that the accuracy of the self-healing effect evaluation result is high, and the weight of the relevant prediction result may be increased; If the confidence C is less than the second threshold C2 for N consecutive times, it is determined that the accuracy of the self-healing effect evaluation result is low, and the adjustment weight of the confidence index needs to be increased.

8. An evaluation system based on the method for rapid detection and evaluation of self-healing microcapsules for asphalt pavement according to claim 7, characterized in that: The system includes: The heating and stress excitation module simulates the high temperature environment in summer and the heavy pressure of wheels on the road to provide thermal and stress excitation; the real-time monitoring and imaging module is used to capture the crack expansion in real time and analyze the crack changes through the optical imaging system; The data analysis module analyzes and processes the collected data to calculate the crack closure rate, thermal excitation effect, and stress excitation effect; the self-healing effect evaluation module is used to integrate the data analysis results and generate a comprehensive evaluation value of the self-healing effect; The report generation module automatically generates a detailed self-healing effect evaluation report based on the analysis results.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for rapid detection and evaluation of self-healing microcapsules of asphalt pavement described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for rapid detection and evaluation of self-healing microcapsules in asphalt pavement according to any one of claims 1 to 7 are implemented.

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