2078 results about "Asphalt pavement" patented technology

The invention discloses an asphalt pavement fatigue damage model calibration method based on AI and digital twinning, and relates to the technical field of damage detection. Compared with the prior art, the problems that traditional asphalt pavement design depends on empirical formulas and static parameters, material aging, environmental coupling and load uncertainty are difficult to dynamically reflect, and cross-scale correlation between microscopic interface behaviors and macroscopic structure performance is lacked are solved; the method comprises the following steps: collecting and preprocessing multi-source heterogeneous data in real time through a multi-modal data fusion and dynamic sensing system, simulating and accurately quantifying asphalt-aggregate interface binding energy and adhesion work in combination with molecular dynamics, and constructing a cross-scale damage evolution model; a physical information neural network is used for embedding an improved Paris formula, actually measured data and a physical rule are deeply fused, and the locality hypothesis of a traditional model is effectively corrected.

The invention discloses rubber powder grafted nano material composite modifier modified asphalt, a preparation method thereof and an asphalt mixture, and belongs to the technical field of modified asphalt. The modified asphalt is prepared by modifying a carboxylated nano material grafted with aminated rubber powder. According to the invention, the rubber powder and the nano material are grafted, so that the advantages of the rubber powder and the nano material can be fully played, the high temperature, low temperature, water stability and other properties of asphalt and asphalt mixtures are remarkably improved, and a new solution is provided for high performance and sustainable development of asphalt pavements; therefore, the method has good application prospect and value in the field of road engineering.

The invention provides a hot in-place recycling asphalt mixture and a construction method, and relates to the technical field of asphalt mixtures, and the hot in-place recycling asphalt mixture is obtained by recycling old asphalt pavement materials in a high proportion, reducing new material consumption and carbon emission, realizing resource recycling and green construction and introducing a regenerant to recover the performance of aged asphalt. The high-temperature rut resistance, the low-temperature crack resistance, the fatigue resistance and the interface bonding strength of the mixture are synergistically improved by matching with the styrene butadiene rubber modifier, the basalt fiber, the nano silicon dioxide and other functional materials, and the mixture is ensured to be uniform and free of segregation through precise feeding sequence, high-pressure atomization spraying and forced stirring parameter control. The defects of gray materials, oil balls and the like are avoided, the compactness, the flatness and the overall structure stability of the regenerated pavement are improved, and the problems of performance degradation and insufficient durability of a traditional regenerated mixture are solved.

The invention relates to the technical field of asphalt pavement paving, and discloses an asphalt pavement 3D intelligent paving cooperative control system and method based on BIM + GIS, and the system comprises a data fusion layer, a real-time control layer, a multi-machine cooperation and task distribution layer, and a quality closed-loop layer. The real-time control layer comprises multi-source data acquisition (positioning / temperature / compaction degree and the like) and three types of core decisions carried out by the cloud center, and the three types of core decisions carried out by the cloud center comprise feeding demand prediction (based on paving speed + thickness) of a dumper, thickness / speed adaptive adjustment of a paver and dynamic planning of a rolling path of a road roller. According to the method, real-time correction of transverse deviation and elevation deviation is achieved through combination of PID control and fuzzy control, the expansion amount of a hydraulic cylinder of the ironing plate is dynamically adjusted by associating the paving speed, the multi-source sensing technology of Beidou, IMU, laser ranging and infrared imaging is adopted, time sequence consistency data synchronization is achieved through 5G communication, and the real-time correction of the transverse deviation and the elevation deviation is achieved. And the precision and the closed-loop optimization effect can be controlled in real time.

The invention relates to the technical field of measurement and monitoring of road engineering variables, in particular to an asphalt pavement paving quality management system, which comprises a data acquisition module configured to acquire real-time meteorological data, mixture temperature parameters and pavement quality monitoring data; the viscosity analysis module is used for determining the dynamic viscosity adjustment range of the asphalt material based on the real-time meteorological data and the temperature parameters of the mixture; the temperature control module is used for regulating and controlling the mixing temperature according to the viscosity change of the asphalt material and generating a target paving temperature curve; the power optimization module is used for matching a dynamic adjustment strategy of the heating power of the screed of the paver based on the target paving temperature curve; by means of the system, meteorological and construction data are monitored in real time, parameters such as asphalt viscosity and screed power are dynamically regulated and controlled, closed-loop optimization is achieved, the paving quality is improved, and intelligent construction is achieved.

The invention discloses an asphalt pavement disease identification method based on unmanned aerial vehicle scanning, and relates to the field of asphalt pavement disease identification, and the method comprises the steps: employing an unmanned aerial vehicle to carry a multispectral imager, obtaining an orthoimage of a whole road segment through a preset route, and carrying out the preliminary feature extraction and suspected region identification; a flight path is optimized according to a suspicion degree and spatial distribution by intelligently planning a recheck route for a suspicion area, and spectral reflectivity data of a specific wave band is collected for secondary verification; color features, glossiness features and texture features are explicitly extracted for a target asphalt pavement area, quantitative extraction is carried out on disease related physical features through brightness and saturation distribution, highlight area detection, texture structure analysis and other means, the accuracy and reliability of oil flooding disease recognition are improved, meanwhile, the disease degree grade is generated, and the recognition efficiency is improved. And accurate data support is provided for asphalt pavement maintenance decision making.

The invention relates to an urban updated unmanned asphalt pavement compaction system and an intelligent control construction method. The unmanned asphalt pavement compaction system comprises an unmanned road roller, a server, infrared temperature acquisition equipment, environment temperature detection equipment, steel wheel temperature monitoring equipment, compaction degree monitoring equipment, vehicle-mounted laser radar equipment and a control and signal processing module. Multi-source sensing of a construction site is achieved, it is guaranteed that the pavement compaction quality can be monitored, and on the basis of multi-source sensing data obtained in real time, running and working parameters of an unmanned road roller are dynamically adjusted through the intelligent control construction method of the urban updating unmanned asphalt pavement compaction system, so that the pavement compaction quality is improved. The adaptability of asphalt pavement compaction of the unmanned road roller under different working conditions is improved, and the construction quality is further guaranteed.

The invention provides a design method and system for an ultra-large-particle-size long-service-life asphalt pavement, and belongs to the technical field of long-service-life asphalt pavement design. The method comprises the steps of obtaining basic parameter information of a pavement design project; according to the basic parameter information, the thickness and variation parameters of the pavement structure layers meeting the thickness requirement are initially planned, and the material Poisson's ratio, the temperature distribution of each structure layer and the material modulus are determined; randomly generating pavement structure layer thickness, temperature distribution, material modulus and traffic load parameters by adopting a Monte Carlo method, and carrying out pavement mechanical response calculation; checking the reliability and fatigue damage of the flexible base asphalt pavement according to a fatigue limit theory and a cumulative damage theory respectively; according to the flexible base asphalt pavement rut prediction model, pavement rut checking calculation is performed, the reliability of a pavement structure under the environment-load coupling effect is improved, and the long service life of the pavement structure is achieved.

The invention belongs to the field of asphalt mixture performance analysis, and particularly discloses a fatigue performance analysis method for an asphalt mixture of an asphalt pavement, which comprises the following steps of: synchronously acquiring a dynamic strain field and a temperature field in a material by fusing an embedded sensor in a paving and rolling construction process; a temperature-strain coupled fatigue damage evolution model is combined to construct an on-line fatigue performance analysis system oriented to the whole construction process, so that a complex heat-force coupling environment and a non-uniform compaction process in actual paving operation are effectively restored; scale effect deviation and boundary condition distortion caused by difference between laboratory test piece preparation and on-site working conditions are remarkably reduced, and meanwhile, in the online detection process of the fatigue performance of the asphalt mixture, instant quantitative judgment of the performance state of the pavement structure is realized by positioning a damage remarkable overrun area; and the in-situ monitoring capability on the initial fatigue damage is fully reflected, so that the abnormal strain accumulation process before microcrack initiation can be captured.

The invention discloses a heavy traffic asphalt pavement damage evolution prediction system, and relates to the technical field of road engineering, and the system comprises a data acquisition module which is used for obtaining continuous multi-frame time sequence images of pavement cracks, a vehicle-mounted axle load spectrum and environment temperature and humidity data; the image processing and space-time modeling module is used for performing multi-scale fractal processing and dynamic time warping on the time sequence image and calculating a cross-scale fractal dimension sequence; the material performance association module is used for establishing and updating a probability association model of the fractal dimension and the shear modulus in real time according to the test data of the dynamic shear rheometer; the multi-physics field data fusion module is used for performing multi-physics field feature fusion through the fractal attention network to generate a multi-physics field collaborative damage correction factor; and the damage prediction and early warning module is used for predicting a fractal dimension growth trend through a fractal domain adaptive transfer learning algorithm, and outputting damage evolution early warning based on a viscoelasticity phase consistency verification result.

The invention discloses an asphalt pavement base crack identification method and device based on a ground penetrating radar, and belongs to the technical field of road engineering pavement maintenance. The method comprises the following steps: 1) carrying out crack image identification on a radar slice map through a YOLOv8n model; 2) based on an identification result, extracting A-scan signals of a crack area, and classifying time-frequency features by using a Light GBM model; and 3) clustering classification results through a'multi-segment clustering + PCA 'analysis method, and filtering false detection cracks. The device is used for executing the method. According to the method, the map and the time-frequency characteristics are fused, the problem that the false detection rate is high due to subjective labeling or objective interference of a single identification method is solved, experiments show that the false detection rate is reduced to 2.8% from 11.2%, and the accuracy and engineering applicability of crack identification are improved.

The invention relates to the field of highway construction, in particular to an intelligent asphalt pavement rolling control method and system, and the method comprises the steps: deploying machine vision equipment to collect an image of a just-paved asphalt mixture, recognizing the segregation degree in combination with a convolutional neural network, and generating a segregation distribution thermodynamic diagram with geographic coordinates; the road roller is integrated with a positioning sensor, a temperature sensor, a vibration sensor and a speed sensor, relevant parameters are collected, and the real-time compaction degree is calculated. The thermodynamic diagram and the compaction degree are subjected to space-time matching, optimal operation parameters are calculated through a dynamic coupling model on the basis of data such as the segregation degree and the temperature of a target area, the optimal operation parameters are wirelessly sent to a road roller control system to adjust speed and vibration parameters, and a road roller feeds back the new compaction degree after execution to form closed-loop control. The problem that separation and compaction control are disjointed in the prior art is solved, separation information and the compaction process are deeply fused, and underpressure of a separation area and overpressure of a uniform area are avoided.

The invention discloses an asphalt pavement maintenance strategy intelligent generation method and system, and relates to the technical field of road engineering.The maintenance strategy generation method comprises the steps that traffic analysis data information and traffic load data information are extracted from a multi-source traffic monitoring system, and the traffic analysis data information and the traffic load data information are obtained through a laser scanning and image intelligent recognition algorithm; analyzing the pavement structural disease level in each grid unit; according to the road surface structural disease level, the road condition risk level of each grid unit under the traffic load and damage superimposed effect is analyzed, a risk response area is divided, and a service life loss analysis instruction is generated; analyzing an accelerated decline trend of pavement structure deterioration of each grid unit in the risk response area to determine a life reduction value of each grid unit in the risk response area; after comparison, generating a pavement maintenance strategy of a corresponding grade; the maintenance strategy generation method has the advantages of being high in real-time performance, fine in area recognition and dynamically adjustable in strategy response.

Low-carbon, carbon-neutral, and carbon-negative asphalt composites are disclosed. The composites comprise an asphalt binder and a functionalized biochar incorporated as a partial replacement for the binder and / or mineral filler. The biochar is physically, chemically, or mineralogically modified to enhance dispersion, interfacial bonding, mechanical performance, and carbon sequestration. The invention further includes methods for producing such composites, biochar-based additive compositions, and kits for practical implementation. Applications include asphalt pavements, waterproofing membranes, crack sealants, conductive deicing systems, and VOC-reducing asphalt mixtures. The resulting materials demonstrate improved durability, thermal and electrical properties, and significant reductions in greenhouse gas emissions.

The invention discloses a road roller intelligent control method based on a road surface compaction quality real-time state, an upper computer mainly judges compaction states and quality such as compaction degree, strength and modulus in a road surface compaction process in different rolling stages in situ through an in-situ detection vehicle, and a lower computer mainly aims at parameters fed back by the in-situ detection vehicle. According to the method, road surface compaction states and rolling process models in different rolling stages are learned and predicted, target function optimization considering the compaction degree, strength, modulus and the like is obtained, and the vibration frequency, amplitude, running speed, rolling times and the like of the road roller are adjusted in time, so that accurate regulation and control of the road surface compaction quality in different rolling stages are achieved. On the basis of comprehensively detecting the compaction quality of the asphalt pavement, automatic optimization of a rolling process considering target functions such as the compaction degree, the strength and the modulus can be completed, and the method has the advantages that pressing, detection and adjustment are carried out simultaneously, and the method is accurate and reliable.

The invention belongs to the technical field of asphalt pavement construction, and discloses a municipal road reconstruction engineering asphalt pavement construction quality control method, which specifically comprises the following steps: 1, carrying out three-dimensional laser scanning surveying and mapping on longitudinal and transverse joints and crack distribution of an original cement concrete pavement in the treatment research of the original pavement; the geometrical morphology and modulus characteristics of an original pavement are accurately analyzed through three-dimensional laser scanning and a dynamic modulus test, the thickness design of an asphalt layer is optimized, adaptive materials are intelligently screened according to climate characteristics and traffic load grades of a construction area, and the performance stability of an asphalt mixture is improved; meanwhile, by means of the intelligent paving technology, the flatness and thickness uniformity of a paving layer are guaranteed, the paving temperature is accurately controlled, the paving performance of the mixture is improved, rolling parameters can be automatically adjusted according to key information such as the paving thickness and the temperature, and the uniformity of the compaction quality is improved.

The invention discloses a semi-rigid asphalt pavement crack depth estimation method, equipment and a medium, and relates to the technical field of road detection. The method comprises the steps of collecting a high-resolution image of a road surface through a mobile detection platform, segmenting a crack region in the high-resolution image by adopting an image segmentation model, and obtaining a binary image of a crack; pixel accumulation, edge detection, skeletonization, skeleton trimming and orthogonal projection are carried out on the crack binary image to extract surface parameters of the crack, and the surface parameters comprise the type, the length, the width and the area; inputting the fracture surface parameters into the fracture depth prediction model, and outputting a fracture depth prediction value; and generating a crack depth grade label according to the depth predicted value, and outputting a corresponding maintenance strategy. According to the method, the crack surface parameters and the pavement structure parameters are combined, the prediction result has good accuracy and consistency through the coupling relation with the depth index, and the method adapts to different crack types and working conditions.

The invention belongs to the field of road maintenance detection, and discloses an asphalt pavement crack detection method and system based on image analysis, electronic equipment and a storage medium, and the method comprises the following steps: collecting an image of an asphalt pavement, and preprocessing the collected image to obtain a first image; segmenting the preprocessed image by using a full convolutional neural network, and performing morphological processing on the segmented image to obtain a second image; calculating a gray level co-occurrence matrix of the second image and extracting texture features, detecting edge information of the second image by using an edge detection algorithm, and combining the texture features with the edge information to obtain a crack candidate area; constructing a convolutional neural network model, and training the convolutional neural network model through the historical crack image and the historical non-crack image to obtain a crack recognition model; and inputting the crack candidate region into a crack identification model for crack identification to obtain a crack identification result.

The invention belongs to the technical field of asphalt pavement repairing, and particularly relates to a local repairing technology of an asphalt pavement, which comprises the following specific contents: detecting a disease range by adopting ground three-dimensional laser scanning or ground penetrating radar, determining a repairing boundary, sampling and detecting the aging degree, the moisture content and the grading type of the asphalt of the original pavement, and determining the repairing quality of the asphalt pavement. According to the method, the bonding strength of the repairing material and the asphalt layer of the original pavement is enhanced by heating and activating the interface of the original pavement and emulsifying the asphalt bonding layer, and matching the repairing material with the shrinkage coefficient of the original pavement and reinforcing and compacting the edge, so that the condition that the repaired position is cracked, loosened and damaged in a short time is avoided; warm-mixed asphalt is adopted, the heating temperature is reduced by 40-60 DEG C, cold-mixed emulsified asphalt is popularized, and the asphalt does not need to be heated, so that release of a large amount of volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs) and dust is effectively avoided, and air pollution is avoided.

The invention belongs to the technical field of asphalt pavement maintenance, and discloses a highway asphalt pavement preventive maintenance structure which comprises a spraying part, the upper end of the spraying part is communicated with a connector pipe in a penetrating mode, the upper end of the connector pipe is connected with a conveying pipe in a clamped mode, and the outer end of the conveying pipe is connected with an asphalt protection raw material; a vertical groove, a ring groove and a second clamping groove are formed in the inner wall of the connector pipe, a first clamping block is fixedly connected to the outer wall of the upper end of the conveying pipe, an extension ring is fixedly connected to the center of the upper end of the conveying pipe, and a ring piece is clamped into the conveying pipe; according to the device, asphalt maintenance liquid can be sprayed on roads with different widths, and the positions of second sliding blocks in second sliding grooves are adjusted through positioning grooves in different positions, so that the length of the exposed outer side end of an expansion piece is adjusted, namely the relative width between the expansion piece and a spraying piece assembly is adjusted, and the spraying effect is improved. Therefore, the spraying width of the device can adapt to roads with different widths.

The invention relates to a graphitized carbon layer modification-based high microwave thermal response aggregate as well as a preparation method and application thereof. The surface of a to-be-modified aggregate is coated with wood biomass; through a high-temperature pyrolysis carbonization process, biomass is directionally converted into a graphitized carbonization layer with a high heat conduction characteristic; and after annealing and screening treatment, the functionalized aggregate with the surface coated with a continuous carbonization layer is obtained. In the application process, the carbonized layer can efficiently absorb microwave energy and convert the microwave energy into heat energy, the aggregate-asphalt interface is induced to be rapidly heated, asphalt fluidity recovery is promoted, microcracks are filled, and self-healing repair of the pavement is achieved. Compared with the prior art, the graphitized carbon layer is generated on the surface of the aggregate in situ, so that the problems of local overheating, electromagnetic shielding effect and asphalt aging caused by non-uniform dispersion of a conductive phase in the prior art are solved in a breakthrough manner; and a solution with engineering feasibility is provided for intelligent repair of road micro-cracks, and meanwhile, the maintenance cost of the asphalt pavement is remarkably reduced.

The utility model relates to the technical field of asphalt pavement recycled material separation equipment, in particular to pavement asphalt recycled material fine separation equipment which comprises a laminated frame and a raw material bin arranged on one side of the laminated frame. A feeding belt conveyor is arranged between the raw material bin and the aggregate elevator, the discharging end of the feeding belt conveyor is connected with a pretreatment linear vibrating screen, the pretreatment linear vibrating screen is provided with a large-particle-size discharging port and a medium-particle-size discharging port, and a pretreatment flexible double-roller crusher is arranged below the large-particle-size discharging port; a vertical shaft type stripping machine, a first-stage linear vibrating screen, a second-stage high-frequency probability screen and a finished product belt conveyor are sequentially arranged on the laminated frame from top to bottom. The pavement asphalt reclaimed material fine separation equipment disclosed by the utility model can be used for performing multi-stage fine screening on asphalt pavement old materials, and is beneficial to ensuring the stable quality of asphalt mixtures during subsequent processing and reutilization.

The invention discloses a high-dosage RAP recycled asphalt mixture and a preparation method thereof, and the method comprises the following steps: step 1, carrying out homogenization treatment on an epoxy resin system and a rubber-asphalt composite system according to a weight ratio of 1: 5-1: 30 to obtain a composite modified asphalt system; 2, preheating the waste asphalt pavement material to 110-130 DEG C, performing dry mixing, adding a petroleum ether regenerant, heating to 150-170 DEG C, and performing dry mixing again to obtain a mixture 1; step 3, preheating new fine aggregate, coarse aggregate and steel slag in batches, adding into the mixture 1, and carrying out dry mixing to obtain a mixture 2 with a primary grading framework; step 4, adding the composite modified asphalt system prepared in the step 1 into the mixture 2, and performing wet mixing to obtain a mixture 3; and step 5, homogenizing the mixture 3 to finally obtain the target recycled asphalt mixture. The invention aims to realize high-mixing-amount recycling of the waste asphalt pavement material.

The invention discloses a method, a system and equipment for determining the pre-maintenance opportunity of an asphalt pavement, and belongs to the technical field of pavement pre-maintenance opportunity analysis processing, and the method comprises the steps: analyzing a pavement state comprehensive evaluation value, obtaining a pavement state comprehensive fluctuation index value, carrying out the adaptive optimization of a sampling interval, and determining an optimal pre-maintenance time window; and performing pre-maintenance operation based on the optimal pre-maintenance time window, performing feedback adjustment on pre-maintenance operation parameters, obtaining a first dynamic correction factor, analyzing a second dynamic correction factor, and analyzing the optimized pre-maintenance reference index. According to the method, the scientificity, accuracy and efficiency of asphalt pavement maintenance can be improved from multiple aspects, resource waste is reduced, the long-term performance of the pavement is practically guaranteed, scientific and efficient development of road maintenance work is promoted, and the service life of the asphalt pavement is prolonged.

The invention relates to the technical field of asphalt material preparation, in particular to a cold-mixing and cold-spreading waterborne acrylic hybrid epoxy environment-friendly asphalt material preparation process which comprises the following steps: physically mixing waterborne acrylic emulsion and waterborne epoxy emulsion to obtain waterborne acrylic hybrid epoxy emulsion; adding the asphalt pavement milling material and an activating agent into vibration stirring equipment, and stirring to obtain an activated milling material; after the activated milling material is obtained, continuously adding the water-based acrylic hybrid epoxy emulsion, the curing agent and the cold-mixed asphalt modifier into the vibration stirring equipment, and stirring and coating at normal temperature; pure water is added into the vibration stirring equipment, and the torque of the vibration stirring equipment and the temperature of the asphalt mixture are collected within a preset time period after the pure water is added; determining a local coating non-uniform evaluation value and a viscosity evaluation coefficient of the asphalt mixture; the curing reaction in the vibration stirring equipment is regulated and controlled, and the prepared asphalt material is obtained. The mechanical property of the prepared asphalt material is improved.

The invention relates to the field of road engineering, in particular to a multispectral imaging evaluation system and method for the aging degree of an asphalt pavement, and the method comprises the steps that a multispectral imaging module collects pavement spectral data; the topological feature extraction module is used for performing multi-scale feature decomposition on the spectral data and extracting topological structure features; the spectral line attention calculation module calculates weight coefficients of different spectral lines and generates weighted feature vectors; the time sequence feature learning module processes the time sequence change of the feature vector and captures an aging evolution rule; the life prediction module determines the current aging state based on the state vector, generates a plurality of possible aging evolution paths, and determines the pavement aging grade and the remaining life; the decision support module generates a maintenance decision suggestion according to the aging grade and the remaining life, and the multi-spectral imaging technology and the deep learning algorithm are innovatively combined, so that high-precision evaluation of the aging degree of the asphalt pavement and accurate prediction of the remaining life are realized, the scientificity of the maintenance decision is remarkably improved, and the maintenance cost is reduced.

The invention particularly relates to a bituminous pavement crack multi-scale segmentation method based on image recognition, which relates to the technical field of crossing of computer vision and road engineering, and comprises the following steps: extracting multi-scale features from shallow details to deep semantics, balancing feature expression capability and vehicle-mounted real-time processing requirements, and providing a multi-level feature source for feature fusion; a channel and space double-branch attention architecture is constructed, features of each coding stage are dynamically screened, noise is suppressed, and refining features are generated through dynamic residual fusion. In the feature fusion stage, a channel and space double-branch attention architecture is adopted, useful features are dynamically screened, details and semantics are balanced through a dynamic threshold correction mechanism, and segmentation imbalance caused by low-quality input is avoided; in the post-processing stage, background false detection, crack breakpoints and edge sawteeth are eliminated through a three-step progressive process, and multi-index comprehensive evaluation such as intersection-to-union ratio and F1-score is combined to ensure that a segmentation result meets the requirements of pavement maintenance engineering on precision and stability.

The invention relates to the technical field of pavement compactness detection, and discloses an asphalt pavement compactness multi-source sensing fusion detection and quality evaluation system, which comprises a data processing module for filtering and standardizing synchronously acquired multi-dimensional physical parameter data of an asphalt pavement to generate a standardized data stream; the data fusion module is used for carrying out fusion calculation on the standardized data flow by adopting a self-adaptive weighted fusion algorithm to obtain consistent fusion data; the quality evaluation module is used for generating a compaction degree evaluation result according to the consistency fusion data and a preset compaction degree calculation model; and the result output module is used for converting the compaction degree evaluation result into a graphical interface and a digital report and outputting the graphical interface and the digital report. The method can effectively solve the problems that a traditional coring method is high in destructiveness and low in efficiency, data of a single sensor is one-sided, and data of multiple sources are inconsistent, achieves efficient and accurate compaction degree quality evaluation, and remarkably improves the efficiency and reliability of construction quality monitoring.

The invention belongs to the technical field of pavement monitoring methods, and particularly discloses a distributed optical fiber permanent deformation monitoring method for an asphalt pavement under a moving load. The method comprises the following steps: laying a single-mode optical fiber in a test piece; laying a full-bridge strain gauge in the test piece; monitoring an optical fiber vibration signal of the test piece during the movement of a test wheel and a strain change of the test piece during the movement of the test wheel in real time through a strain acquisition instrument; processing the optical fiber vibration signal and the strain change by using matlab data analysis software; analyzing the data change trend according to the processed optical fiber vibration signal and the strain change, and establishing a mathematical relationship between the two; and according to the mathematical relationship, distributed monitoring of the permanent deformation of the asphalt pavement under the moving load by the optical fiber vibration signals is realized. By the adoption of the bituminous pavement distributed optical fiber permanent deformation monitoring method under the moving load, real-time, dynamic, large-range, long-distance and high-precision monitoring of bituminous pavement permanent deformation is achieved, and the defects in the prior art are overcome.

The invention discloses an asphalt pavement crack repairing method based on laser fusion and a crack filling material thereof. The asphalt pavement crack repairing method comprises the following steps that S01, asphalt pavement cracks are accurately detected; s02, the asphalt crack is preprocessed, and parameters of an asphalt pavement material are determined; s03, parameters of a joint filling material are determined; s04, performing laser simulation on the asphalt pavement; s05, joint filling materials are evenly added into the cracks; and S06, performing laser fusion on the asphalt crack. According to the repairing method, the heat energy can be accurately controlled through laser, it is ensured that the crack is repaired under the condition that surrounding asphalt is not damaged, accurate parameter adjustment of different cracks is achieved, a more efficient, more accurate and environment-friendly asphalt crack repairing scheme is provided, repairing is rapidly completed, and the traffic closing time and the construction time are shortened.