An airport cement concrete pavement disease early warning method and system

Abstract

The application relates to an airport cement concrete pavement disease early warning method and system, which comprises the following steps: automatically detecting and manually checking a to-be-measured block to obtain pavement surface disease detection results; calculating the deduction values of various types of pavement surface diseases according to the detection results; calculating a pavement surface apparent damage comprehensive reduction value according to the deduction values; calculating the void rate of the to-be-measured block; calculating a pavement damage state index according to the pavement surface apparent damage comprehensive reduction value and the void rate; comparing the pavement damage state index with a pre-set grade threshold value to determine the pavement damage state grade, and if the grade meets the pre-set alarm requirement, corresponding airport pavement disease early warning is sent. Compared with the prior art, the application divides and simplifies the pavement surface damage types according to the pavement disease detection results obtained by the automatic detection means, quantifies the pavement damage state and establishes a connection with the existing pavement condition evaluation index, and an evaluation and early warning scheme suitable for the automatic detection is obtained.

Description

Technical Field

[0001] This invention relates to the field of airport engineering technology, and in particular to a method and system for early warning of defects in airport cement concrete pavement. Background Technology

[0002] With the rapid development of the civil aviation industry, the demand for air transport is constantly increasing. To ensure the safety of aircraft takeoff and landing, airport pavements must possess certain strength, flatness, roughness, and stability. Cement concrete pavements have the advantages of high strength and good durability, and are therefore widely used in airports in my country. However, under the combined effects of aircraft loads, construction reasons, and the natural environment, airport pavements have successively developed various defects, resulting in a continuous decline in their performance. This has a significant impact on aircraft operations at civil aviation airports and may even trigger safety accidents. Therefore, timely and accurate monitoring of pavement damage is crucial for the normal use and safe operation of airports.

[0003] Currently, the main evaluation indicators for airport pavement damage at home and abroad include the Pavement Condition Index (PCI), Structural Condition Index (SCI), and Degree of Damage (L). The main method used is manual foot inspection. After investigating, judging, and statistically analyzing pavement defects, the values ​​of the pavement damage evaluation indicators are calculated to determine whether an early warning needs to be issued and whether pavement damage needs to be repaired.

[0004] However, current airport pavement defect assessment methods are all based on defect detection results obtained through manual inspection, and manual pavement defect inspection has the following problems:

[0005] (1) Existing evaluation indicators for pavement defects are time-consuming to investigate, manual foot patrols are inefficient, labor-intensive, and easily affected by factors such as flight missions, weather, and pavement surface conditions.

[0006] (2) The identification of pavement damage types and the classification of damage levels require human identification, which involves a certain degree of subjective error;

[0007] (3) Since manual inspection sometimes requires pausing aircraft takeoff and landing activities, the inspection cost is further increased.

[0008] With the development of technology, automated inspection has been introduced into the field of airport pavement inspection. However, automated inspection can identify and distinguish far fewer defects than manual inspection, and its accuracy is insufficient. Therefore, existing evaluation methods are not applicable to the defect detection results obtained by automated inspection. There is a lack of pavement damage status evaluation methods based on automated inspection results, as well as a lack of pavement defect early warning methods based on evaluation results. Summary of the Invention

[0009] The purpose of this invention is to overcome the defects of the prior art and provide a method and system for early warning of defects in airport cement concrete pavement.

[0010] The objective of this invention can be achieved through the following technical solutions:

[0011] A method for early warning of defects in airport cement concrete pavement includes the following steps:

[0012] S1. The test block is inspected to obtain the pavement surface defects detection results. The test block includes multiple pavement panels.

[0013] S2. Calculate the deduction values ​​for various pavement surface defects in the test area based on the pavement surface defect detection results;

[0014] S3. Calculate the comprehensive reduction value of pavement surface damage for the tested block based on the deduction values ​​of various pavement surface defects;

[0015] S4. Determine the voiding rate of the track panel blocks within the test area and calculate the voiding rate of the test area.

[0016] S5. Calculate the pavement damage status index of the test block based on the comprehensive reduction value of pavement apparent damage and the voiding rate of the test block.

[0017] S6. Compare the pavement damage status index of the test block with the preset level threshold to determine the pavement damage status level. If the pavement damage status level meets the preset alarm requirements, issue an airport pavement defect warning corresponding to the level.

[0018] Furthermore, the types of pavement surface defects include structural cracks, corner spalling, joint breakage, small patches, large patches, and sealant damage. In step S1, the quantity and location of the structural cracks, corner spalling, joint breakage, small patches, and large patches are determined by automated detection methods, and the degree of sealant damage is determined by manual inspection.

[0019] Furthermore, in step S2, the calculation formula for the deduction values ​​of structural cracks, corner spalling, joint breakage, small patches, and large patches is as follows:

[0020] g i (D i ) = a i D i 5 +b i D i 4 +c i D i 3 +d i D i2 +e i D i i = 1, 2, 3, 4, 5

[0021] Wherein, 'i' is used to identify structural cracks, corner spalling, joint breakage, small patches, and large patches, and g... i (D i D represents the deduction value for the i-th type of pavement surface defects. i a represents the damage density of the i-th type of pavement surface defects. i b i c i d i e i and represent the apparent damage coefficients of the i-th type of pavement.

[0022] Furthermore, the formula for calculating the density of apparent pavement defects of type i is:

[0023]

[0024] Where N represents the number of track panels in the area to be tested, n i This indicates the number of pavement panels exhibiting the i-th type of pavement surface defects;

[0025] The values ​​of the apparent damage coefficient for pavement of type i are as follows:

[0026] i Disease categories <![CDATA[a i ]]> <![CDATA[b i ]]> <![CDATA[c i ]]> <![CDATA[d i ]]> <![CDATA[e i ]]> 1 Structural cracks 26.016 -103.647 168.845 -155.816 134.309 2 corner peeling -10.695 19.821 2.540 -32.763 45.964 3 Seam broken 76.063 -211.051 213.021 -109.311 50.106 4 Minor patch 14.234 -38.925 32.967 -15.312 19.319 5 Large patch 20.005 -78.280 121.528 -112.112 89.312 .

[0027] Furthermore, the formula for calculating the deduction value for damage to the sealant is as follows:

[0028]

[0029] Among them, g6(D6) represents the deduction value for damage to the sealant.

[0030] Furthermore, the formula for calculating the Comprehensive Decrease Value (CDV) of pavement apparent damage is as follows:

[0031]

[0032] Wherein, 'i' is used to identify structural cracks, corner spalling, joint breakage, small patches, large patches, and grout damage; g i (D i ) represents the deduction value for the i-th type of pavement surface defects, and h, l, m, and p represent the comprehensive reduction value correction coefficients, the values ​​of which are as follows:

[0033] q h l m p 0 or 1 0 0 1 0 2 -0.00002 0.0031 0.7436 0.0995 3 -0.00002 0.0024 0.6586 0.4527 4 -0.000007 0.0004 0.7145 -0.5238 5 -0.000006 0.0002 0.7022 -0.3235 6 -0.000004 -0.00005 0.6899 -0.1232

[0034] Where q represents the number of pavement surface defects whose deduction value exceeds the preset value.

[0035] Furthermore, the formula for calculating the emptying rate is as follows:

[0036]

[0037] Where N represents the number of track panels in the area to be tested, n t This indicates the number of pavement panels with detached bottom sections.

[0038] Furthermore, the formula for calculating the pavement damage state index is as follows:

[0039] APSI=100-0.49CDV-23.793ln(2.924D t +1)

[0040] Wherein, APSI represents the pavement damage state index, CDV represents the comprehensive reduction value of apparent pavement damage, and D... t This indicates the emptying rate.

[0041] Furthermore, the level threshold is set as follows:

[0042] Obtain a reference block, calculate the pavement damage status index (APSI) of the reference block using steps S1-S5, determine the damage detection results of the reference block using manual inspection, and calculate the pavement condition index (PCI) based on the damage detection results.

[0043] Scatter plots were drawn to analyze the relationship between the Pavement Damage Status Index (APSI) and the Pavement Condition Index (PCI), and the fitting formula between the two was obtained.

[0044] Substituting the threshold values ​​of each level of the Pavement Condition Index (PCI) into the fitted formula yields the threshold values ​​of each level of the Pavement Damage State Index (APSI).

[0045] An early warning system for defects in airport cement concrete pavement includes:

[0046] The pavement surface defect detection module is used to obtain the pavement surface defect detection results of the test block. It includes an automated detection module and a manual inspection module. The automated detection module is used to perform automated detection on the test block, and the manual inspection module is used to obtain the manual inspection results of the test block. The test block includes multiple pavement panels.

[0047] The deduction value calculation module is used to calculate the deduction value of various pavement surface defects in the test area based on the pavement surface defect detection results;

[0048] The comprehensive reduction value calculation module is used to calculate the comprehensive reduction value of pavement appearance damage of the tested block based on the deduction values ​​of various pavement appearance defects;

[0049] The voiding rate calculation module is used to determine the voiding of pavement blocks within the test area and to calculate the voiding rate of the test area.

[0050] The damage status index calculation module is used to calculate the pavement damage status index of the test block based on the comprehensive reduction value of the pavement apparent damage and the voiding rate of the test block.

[0051] The early warning judgment module compares the pavement damage status index of the test block with the preset level threshold to determine the pavement damage status level. If the pavement damage status level meets the preset alarm requirements, an early warning of airport pavement defects corresponding to the level is issued.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] (1) In view of the current characteristics and level of pavement defects detected by automated pavement inspection methods, this invention classifies the types of pavement surface damage that can be identified by automated inspection methods, and specifies the quantitative calculation method of each type of pavement damage and pavement damage status. By establishing a relationship with the current pavement condition evaluation index, an evaluation and early warning scheme suitable for automated inspection is obtained.

[0054] (2) This invention considers both apparent pavement damage and hidden defects (i.e., clearance rate) and uses formulas to form quantitative damage indicators to scientifically and accurately evaluate the defects of airport pavement and trigger pavement defect early warning. This makes it easier for relevant airport pavement management departments to grasp the pavement damage status in a timely and accurate manner, make pavement maintenance decisions, and thus ensure the operational safety of airport pavement.

[0055] (3) The present invention determines the level threshold of each evaluation level based on the relationship between the pavement damage state index APSI and the pavement condition index PCI, making the evaluation level threshold in the early warning method of the present invention more applicable and reliable. Attached Figure Description

[0056] Figure 1 This is a schematic diagram of the flowchart of the present invention;

[0057] Figure 2 This is a schematic diagram showing the relationship between the Pavement Damage Status Index (APSI) and the Pavement Condition Index (PCI). Detailed Implementation

[0058] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. These embodiments are implemented based on the technical solutions of the present invention, providing detailed implementation methods and specific operating procedures. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of them, and the scope of protection of the present invention is not limited to the following embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0059] As used herein, "an embodiment" or "embodiment" refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the invention. In the description of the invention, it should be understood that the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such processes, methods, products, or apparatus.

[0060] This specification provides method operation steps as shown in the embodiments or flowcharts, but based on conventional or non-inventive labor, more or fewer operation steps may be included. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only execution order. In actual system or server products, the method can be executed in the order shown in the embodiments or drawings, or in parallel (e.g., in a parallel processor or multi-threaded processing environment), or the execution order of steps without timing constraints can be adjusted.

[0061] A method for early warning of defects in airport cement concrete pavement, such as Figure 1 As shown, it includes the following steps:

[0062] S1. The test block is inspected to obtain the pavement surface defects detection results. The test block includes multiple pavement panels.

[0063] The criteria for dividing airport pavement inspection zones can be determined by referring to the relevant provisions in Appendix A, "Recommended Methods for Airport Pavement Zoning," of the "Technical Specifications for Civil Airport Pavement Evaluation and Management" (MH / T 5024-2019).

[0064] The types of pavement surface defects include structural cracks, corner spalling, joint breakage, small patches, large patches, and grout damage. Automated detection methods are used to determine the quantity and location of structural cracks, corner spalling, joint breakage, small patches, and large patches. These automated detection methods can employ image recognition equipment and methods to obtain information such as defect type and location, thereby identifying the defects, their types, and locations on each pavement panel within the tested module, as illustrated in Chinese patent applications CN114155375A, CN112215819A, and CN114882367A. Grout damage, on the other hand, is determined manually. Generally, during the image acquisition phase of automated detection methods, the personnel responsible for image acquisition can assess the extent of grout damage.

[0065] Among them, longitudinal, transverse and diagonal cracks, corner fractures, broken slabs or cross cracks, and expansion cracks are described in the "B1 Cement Concrete Pavement Damage Identification Standard" section of the "Technical Specification for Evaluation and Management of Civil Airport Pavement" (MH / T 5024-2019), and are classified here as "structural cracks" defects. The standards for classifying the damage of the joint filler material assessed by the staff refer to the "B1 Cement Concrete Pavement Damage Identification Standard" section of the "Technical Specification for Evaluation and Management of Civil Airport Pavement" (MH / T 5024-2019).

[0066] S2. Calculate the deduction value for each type of pavement surface defect in the test block based on the pavement surface defect detection results;

[0067] (1) For the five types of defects detected by automated testing, namely structural cracks, corner spalling, joint breakage, small patches, and large patches, the deduction value is calculated using the following formula:

[0068] g i (D i ) = a i D i 5 +b i D i 4 +c i D i 3 +d i D i 2 +e i D i i = 1, 2, 3, 4, 5

[0069] Among them, 'i' is used to identify structural cracks, slab corner spalling, joint breakage, small patches, and large patches; g... i (D i D represents the deduction value for the i-th type of pavement surface defects.i a represents the damage density of the i-th type of pavement surface defects. i b i c i d i e i and represent the apparent damage coefficients of the i-th type of pavement.

[0070] The formula for calculating the density of apparent pavement defects of type i is:

[0071]

[0072] Where N represents the number of track panels in the area to be tested, n i This indicates the number of pavement panels exhibiting the i-th type of pavement surface defects;

[0073] The values ​​of the apparent damage coefficient for pavement of type i are as follows:

[0074] Table 1. Values ​​of pavement apparent defects coefficients determined by automated detection.

[0075] i Disease categories <![CDATA[a i ]]> <![CDATA[b i ]]> <![CDATA[c i ]]> <![CDATA[d i ]]> <![CDATA[e i ]]> 1 Structural cracks 26.016 -103.647 168.845 -155.816 134.309 2 corner peeling -10.695 19.821 2.540 -32.763 45.964 3 Seam broken 76.063 -211.051 213.021 -109.311 50.106 4 Minor patch 14.234 -38.925 32.967 -15.312 19.319 5 Large patch 20.005 -78.280 121.528 -112.112 89.312

[0076] (2) For manually assessed joint filler damage, the automated inspection personnel shall classify the degree of joint filler damage in the area to be evaluated according to the "Technical Specification for Evaluation and Management of Civil Airport Pavement" (MH / T 5024-2019). The deduction value for joint filler damage shall be calculated according to formula (4).

[0077]

[0078] Among them, g6(D6) represents the deduction value for damage to the sealant.

[0079] S3. Calculate the comprehensive reduction value of pavement surface damage for the tested area based on the deduction values ​​of various pavement surface defects;

[0080] The formula for calculating the Comprehensive Decrease Value (CDV) of pavement appearance damage is as follows:

[0081]

[0082] Among them, 'i' is used to identify structural cracks, slab corner peeling, joint breakage, small patches, large patches, and grout damage; g i (D i () represents the deduction value for the i-th type of pavement surface defects, and h, l, m, and p represent the comprehensive reduction value correction coefficients. The values ​​of the comprehensive reduction value correction coefficients are as follows:

[0083] Table 2. Values ​​of the Comprehensive Reduction Value Correction Factor

[0084] q h l m p 0 or 1 0 0 1 0 2 -0.00002 0.0031 0.7436 0.0995 3 -0.00002 0.0024 0.6586 0.4527 4 -0.000007 0.0004 0.7145 -0.5238 5 -0.000006 0.0002 0.7022 -0.3235 6 -0.000004 -0.00005 0.6899 -0.1232

[0085] Where q represents the number of pavement surface defects with a deduction value greater than the preset value. Preferably, the preset value can be 5, that is, to determine the number of pavement surface defects with a deduction value greater than 5 among the six types of pavement surface defects, and then determine the values ​​of h, l, m, and p. Of course, the preset value can also be adjusted as needed.

[0086] S4. Use ground-penetrating radar or deflection testing to determine the voiding of pavement blocks in the test area and calculate the voiding rate of the test area.

[0087] When using ground-penetrating radar (GPR) to detect pavement detachment, a three-dimensional GPR method should be employed to collect detachment data. The layout of GPR survey lines and sampling parameters should refer to the relevant provisions in section 6.2, "GPR Method," of the "Technical Standard for Comprehensive Detection and Risk Assessment of Urban Underground Defects" (JGJ437-2018). If GPR detection is not conducted, a falling weight deflectometer can be used for sampling detection of detachment. The setup and testing process of the deflectometer should refer to the relevant provisions in section 9, "Falling Weight Deflectometer Test Method," of the "Civil Airport Field Testing Procedures" (MH / T 5110-2015).

[0088] The void removal rate is based on ground-penetrating radar detection results or falling-weighted deflectometer sampling results. The formula for calculating the void removal rate is:

[0089]

[0090] Where N represents the number of track panels in the area to be tested, n t This indicates the number of pavement panels with detached bottom sections.

[0091] S5. Calculate the pavement damage status index of the test block based on the comprehensive reduction value of pavement apparent damage and the voiding rate of the test block.

[0092] The formula for calculating the pavement damage state index is:

[0093] APSI=100-0.49CDV-23.793ln(2.924D t +1)

[0094] Wherein, APSI represents the pavement damage state index, CDV represents the comprehensive reduction value of apparent pavement damage, and D... t This indicates the emptying rate.

[0095] It is understandable that structural cracks, corner peeling, joint breakage, small patches, large patches, and damaged sealant are pavement surface defects, while voids are pavement hidden defects. This application considers both pavement surface defects and hidden defects, and uses formulas to form quantitative damage indicators, which improves assessment efficiency while reducing the influence of subjective factors in traditional methods, making the evaluation process more accurate and convenient.

[0096] S6. Compare the pavement damage status index of the test block with the preset level threshold to determine the pavement damage status level. If the pavement damage status level meets the preset alarm requirements, issue an airport pavement defect warning corresponding to the level.

[0097] The level threshold is set as follows:

[0098] Reference blocks were obtained from 417 pavement blocks across 32 airports provided by Shanghai Tongke Transportation Technology Co., Ltd. and Chengdu Guimu Robotics Co., Ltd. A total of 67 pavement blocks were extracted that underwent both surface pavement defect detection and hidden pavement defect (air gap detection). The APSI and PCI values ​​were calculated for these 67 pavement blocks. The Pavement Condition Index (PCI) is a commonly used quantitative technical evaluation indicator for airport pavement damage, both domestically and internationally. Its calculation method can be found in the "Technical Specification for Evaluation and Management of Civil Airport Pavements" (MH / T 5024-2019).

[0099] Analyze the relationship between APSI and PCI by plotting a scatter plot, such as... Figure 2 As shown in the figure, APSI and PCI exhibit a strong linear correlation, and the fitting equation for their relationship is obtained as follows:

[0100] APSI = 0.5509 PCI + 45, R 2 =0.9867

[0101] Substituting the PCI safety level thresholds of 85, 70, and 55 into the above formula, we obtain the corresponding APSI safety level thresholds of 92, 84, and 75. This yields the comprehensive evaluation standard for pavement damage status, as shown in the table below:

[0102] Table 3 Comprehensive Evaluation Criteria for Pavement Damage Status

[0103] rating level good middle Second-rate Difference APSI range APSI≥92 84≤APSI<92 75≤APSI<84 APSI<75

[0104] When the pavement damage status is at a "good" level, it indicates that the number of pavement defects is small, requiring no warning; routine maintenance of the area is sufficient. When the pavement damage status is at a "medium" level, it indicates that the number of pavement defects and damage is increasing, requiring a lower level of warning; in addition to routine maintenance, close observation of defect development is necessary. When the pavement damage status is at a "poor" level, it indicates that the number of pavement defects is relatively large, requiring a moderate level of warning; pavement repair work should be initiated as soon as possible. When the pavement damage status is at a "poor" level, it indicates that the pavement damage is very severe, requiring an immediate higher level of warning; the area should be immediately taken out of service, and pavement repair work should begin immediately.

[0105] The APSI value can be compared with the threshold values ​​of each safety level to determine the pavement damage status level. Depending on the actual needs, users can set different alarm requirements, such as alarming when the pavement damage status level is "minor" or below, and issuing an airport pavement defect warning corresponding to the level.

[0106] This application also provides an early warning system for defects in airport cement concrete pavement, including:

[0107] The pavement surface defect detection module is used to obtain the pavement surface defect detection results of the test block. It includes an automated detection module and a manual inspection module. The automated detection module is used to perform automated detection on the test block, and the manual inspection module is used to obtain the manual inspection results of the test block. The test block includes multiple pavement panels.

[0108] The deduction value calculation module is used to calculate the deduction value of various pavement surface defects in the test area based on the pavement surface defect detection results;

[0109] The comprehensive reduction value calculation module is used to calculate the comprehensive reduction value of pavement appearance damage of the tested block based on the deduction values ​​of various pavement appearance defects;

[0110] The voiding rate calculation module is used to determine the voiding of pavement blocks within the test area and to calculate the voiding rate of the test area.

[0111] The damage status index calculation module is used to calculate the pavement damage status index of the test block based on the comprehensive reduction value of the pavement apparent damage and the voiding rate of the test block.

[0112] The early warning judgment module compares the pavement damage status index of the test block with the preset level threshold to determine the pavement damage status level. If the pavement damage status level meets the preset alarm requirements, an early warning of airport pavement defects corresponding to the level is issued.

[0113] The working content of each module in the early warning system is the same as the early warning method described above, and will not be repeated here.

[0114] Example 1:

[0115] (1) Information provided by the pavement maintenance department of an airport in eastern China after implementing automated pavement inspection shows that: In 2018, the airport inspected a total of 2,856 pavement panels in Area A of the apron. The number of panels with visible pavement damage and hidden defects is shown in the table below:

[0116] Table 4. Information on the number of pavement slabs with apparent damage and hidden defects.

[0117]

[0118] As shown in the table, g i (D i Since the number of values ​​greater than 5 in (q) is 0, the correction coefficients for h, l, m, and p are 0, 0, 1, and 0, respectively.

[0119] Computerized pavement damage status index:

[0120] APSI=100-0.49CDV-23.793ln(2.924D t +1)=97.11621

[0121] The Airport Pavement Damage Status Index (APSI) is 97.11621, which is greater than 92. According to the Airport Pavement Damage Status Evaluation Standard, the pavement damage status of Area A of the airport apron is at the "good" level. The number of pavement defects in the detected area is very small, so no warning is issued. Just pay attention to the daily maintenance of the pavement in this area.

[0122] (2) The total number of pavement sections inspected in the airport's connecting taxiway area in 2018 was 188. The number of sections with visible pavement damage and hidden defects detected is shown in the table below:

[0123] Table 5 Information on the number of pavement slabs with apparent damage and hidden defects.

[0124]

[0125] As shown in the table, g i (D i Since the number of values ​​greater than 5 in the equation q is 2, the correction coefficients for h, l, m, and p are -0.00002, 0.0031, 0.7436, and 0.0995, respectively.

[0126] Computerized pavement damage status index:

[0127] APSI=100-0.49CDV-23.793ln(2.924D t +1)=75.59732

[0128] The Airport Pavement Damage Status Index (APSI) is 75.59732 < 84. According to the Airport Pavement Damage Status Evaluation Standard, the pavement condition of this airport connecting taxiway area is classified as "minor". This indicates significant damage to structural cracks and sealant, requiring a moderate level of early warning and prompt pavement repair.

[0129] Example 2:

[0130] (1) Information provided by the pavement maintenance department of a civil airport in Northwest China after the implementation of automated pavement inspection shows that: In 2021, the airport inspected a total of 950 pavement panels in the A1 area of ​​the apron. The number of panels with visible pavement damage and hidden defects is shown in the table below:

[0131] Table 6 Information on the number of pavement slabs with apparent damage and hidden defects.

[0132]

[0133]

[0134] As shown in the table, g i (D i The number of values ​​greater than 5 in the equation q is 1, therefore the correction coefficients for h, l, m, and p are 0, 0, 1, and 0, respectively.

[0135] Computerized pavement damage status index:

[0136] APSI=100-0.49CDV-23.793ln(2.924D t +1)=76.23332

[0137] The Airport Pavement Damage Status Index (APSI) is 76.23332 < 84. According to the Airport Pavement Damage Status Evaluation Standard, the pavement condition of area A1 of the airport apron is classified as "minor". The airport pavement has a large number of defects, including structural cracks and pavement panel detachment. A moderate warning is required, and pavement repair should be carried out as soon as possible.

[0138] (2) The total number of pavement sections inspected in the TA area of ​​the airport in 2021 was 188. The number of sections with visible pavement damage and hidden defects detected is shown in the table below:

[0139] Table 7 Information on the number of pavement slabs with apparent damage and hidden defects.

[0140]

[0141] As shown in the table, g i (D i Since the number of values ​​greater than 5 in (q) is 0, the correction coefficients for h, l, m, and p are 0, 0, 1, and 0, respectively.

[0142] Computerized pavement damage status index:

[0143] APSI=100-0.49CDV-23.793ln(2.924D t +1)=82.96073

[0144] The Airport Pavement Damage Status Index (APSI) is 82.96073 < 84. According to the Airport Pavement Damage Status Evaluation Standard, the pavement condition of the TA area of ​​this airport connection road is classified as "minor". There are a large number of defects on the airport pavement, with many broken joints and loose pavement panels. A moderate warning is required, and pavement repair should be carried out as soon as possible.

[0145] In summary, this invention effectively overcomes the various shortcomings of the prior art and has high industrial applicability. The preferred embodiments of this invention have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of this invention without creative effort. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of this invention through logical analysis, reasoning, or limited experimentation on the basis of the prior art should be within the scope of protection defined by the claims.

Claims

1. A method for early warning of defects in airport cement concrete pavement, characterized in that, Includes the following steps: S1. Perform automated detection and manual inspection on the area to be tested to obtain the pavement surface defect detection results. The area to be tested includes multiple pavement panels. S2. Calculate the deduction value for each type of pavement surface defect in the test block based on the pavement surface defect detection results; S3. Calculate the comprehensive reduction value of pavement surface damage for the tested area based on the deduction values ​​of various pavement surface defects; S4. Determine the voiding rate of the track panel blocks within the test area and calculate the voiding rate of the test area. S5. Calculate the pavement damage status index of the test block based on the comprehensive reduction value of pavement apparent damage and the voiding rate of the test block. S6. Compare the pavement damage status index of the test block with the preset level threshold to determine the pavement damage status level. If the pavement damage status level meets the preset alarm requirements, issue an airport pavement defect warning corresponding to the level. The types of pavement surface defects include structural cracks, corner spalling, joint breakage, small patches, large patches, and sealant damage. In step S1, the quantity and location of the structural cracks, corner spalling, joint breakage, small patches, and large patches are determined by automated detection methods, and the degree of sealant damage is determined by manual inspection. In step S2, the calculation formula for the deduction values ​​of structural cracks, corner spalling, joint breakage, small patches, and large patches is as follows: in, Used to identify structural cracks, slab corner peeling, joint breakage, small patches, and large patches. Indicates the first Deductions for surface defects of the road surface. Indicates the first Damage density of pavement surface defects, They represent the first The apparent disease coefficient of pavement surface; The comprehensive reduction value of apparent damage to the pavement The calculation formula is: in, Used to identify structural cracks, flaking corners, broken joints, small patches, large patches, and damaged sealant. Indicates the first Deductions for surface defects of the road surface. , , , This represents the overall reduction value correction factor; The formula for calculating the pavement damage state index is as follows: in, Indicates the pavement damage status index. This represents the comprehensive reduction value of apparent damage to the pavement. This indicates the emptying rate.

2. The method for early warning of defects in airport cement concrete pavement according to claim 1, characterized in that, No. The formula for calculating the density of apparent defects and damage to pavement surfaces is as follows: in, This indicates the number of pavement blocks in the area to be tested. Indicates the occurrence of the first The number of pavement panels with surface defects.

3. The method for early warning of defects in airport cement concrete pavement according to claim 1, characterized in that, The formula for calculating the deduction value for damage to the sealant is as follows: in, This indicates the deduction value for damage to the grout.

4. The method for early warning of defects in airport cement concrete pavement according to claim 1, characterized in that, The formula for calculating the emptying rate is: in, This indicates the number of pavement blocks in the area to be tested. This indicates the number of pavement panels with detached bottom sections.

5. The method for early warning of defects in airport cement concrete pavement according to claim 1, characterized in that, The method for setting the level threshold is as follows: Obtain a reference block and calculate the pavement damage state index of the reference block using steps S1-S5. The pavement condition index (PCI) is calculated based on the pavement condition detection results, which are determined by manual inspection of the reference blocks. Analyze pavement damage status index by plotting scatter plots The relationship between the pavement condition index (PCI) and the pavement condition index (PCI) was analyzed, and a fitting formula for the two was obtained. Substituting the threshold values ​​of each level of the Pavement Condition Index (PCI) into the fitted formula yields the corresponding Pavement Damage State Index. The threshold values ​​for each level.

6. A system for implementing the airport cement concrete pavement defect early warning method according to any one of claims 1-5, characterized in that, include: The pavement surface defect detection module is used to obtain the pavement surface defect detection results of the test block. It includes an automated detection module and a manual inspection module. The automated detection module is used to perform automated detection on the test block, and the manual inspection module is used to obtain the manual inspection results of the test block. The test block includes multiple pavement panels. The deduction value calculation module is used to calculate the deduction value of various pavement surface defects in the test area based on the pavement surface defect detection results; The comprehensive reduction value calculation module is used to calculate the comprehensive reduction value of pavement appearance damage of the tested block based on the deduction values ​​of various pavement appearance defects; The voiding rate calculation module is used to determine the voiding of the pavement blocks in the test area and to calculate the voiding rate of the test area. The damage status index calculation module is used to calculate the pavement damage status index of the test block based on the comprehensive reduction value of the pavement apparent damage and the voiding rate of the test block. The early warning judgment module compares the pavement damage status index of the test block with the preset level threshold to determine the pavement damage status level. If the pavement damage status level meets the preset alarm requirements, an early warning of airport pavement defects corresponding to the level is issued.

Images