319 results about "Pavement maintenance" patented technology

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 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.

The invention discloses a pavement maintenance decision-making method, system and equipment, a medium and a product, and relates to the field of highway engineering management. The method comprises the following steps: firstly, collecting performance data of a target road section, and identifying a to-be-optimized pavement maintenance unit through a threshold judgment method or a K-means clustering algorithm; encoding each maintenance measure type and the corresponding maintenance opportunity into a real number vector, and taking the real number vector as a maintenance scheme code; constructing a multi-target fitness function covering pavement performance, maintenance cost and carbon emission; carrying out iterative optimization on the maintenance scheme through a particle swarm optimization algorithm on the basis, and outputting a particle swarm optimization solution set; performing rapid non-dominated sorting and congestion degree distance calculation on the particle swarm optimization solution set, and extracting a Pareto optimal solution set; and fusing the Pareto optimal solution and the full-life-cycle comparison data of the target road section, and outputting a maintenance decision scheme for each pavement maintenance unit, so that the decision efficiency and the scientificity, accuracy, sustainability and refinement degree of the maintenance decision scheme are improved.

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 present invention belongs to the technical field of road maintenance, and relates to a pavement crack maintenance scheme decision-making method, apparatus and device, and a storage medium. The method comprises: on the basis of collected image data and electrical signal data, locating a pavement crack distress to obtain pavement crack distress position information; calculating the image crack degree and overall structural layer modulus of a pavement area corresponding to the pavement crack distress position information; on the basis of the image crack degree and the overall structural layer modulus, determining a plurality of pavement crack distress maintenance schemes; and establishing a pavement performance evaluation system, and on the basis of the pavement serviceability evaluation system and historical pavement maintenance data, evaluating different pavement crack distress maintenance schemes to be implemented in the next year, so as to determine a target pavement crack maintenance scheme. In the present invention, when the annual data of a pavement is insufficient, different maintenance schemes to be implemented in the next year are evaluated by means of establishing a pavement performance evaluation system, so as to determine a target pavement crack maintenance scheme.

The invention discloses a pavement crack identification method and system based on YOLOv8-Seg, and belongs to the technical field of road engineering pavement maintenance. The method comprises the following steps: identifying a pavement crack slice image by using a trained YOLOv8-Seg segmentation model, and generating a mask area of a crack; extracting attribute information of the crack, wherein the attribute information comprises a center point coordinate, a bounding box, a crack area and a mask binary image; performing space-time continuity analysis on a plurality of images continuously acquired in the same road range, and judging whether cracks with similar forms and similar positions exist or not; and if cracks with similar forms and similar positions exist in the images of the at least two different point positions, determining that the cracks are real cracks, and outputting an identification result. According to the method, crack pixel-level segmentation and attribute extraction are realized, cross-image space-time continuity analysis is combined, crack authenticity is judged, the false detection rate is effectively reduced, and the identification accuracy and engineering applicability are improved.

The invention discloses a ground penetrating radar-based pavement structure layer thickness calculation method and system, and belongs to the technical field of road engineering pavement maintenance. The method comprises the following steps: acquiring a road radar map, and identifying a pavement structure layer by using a YOLOv8 model; calculating the thickness of the structural layer through OpenCV; for the thickness abnormal position, extracting corresponding electromagnetic data and tracking the maximum amplitude point in the horizon range, and correcting the thickness value in combination with DBSCAN clustering; and importing a whole-section thickness result into post-processing software to generate a continuous horizon curved surface, and counting average thickness data of different length sections. And the system executes the steps. The problems that traditional core drilling sampling is low in efficiency and radar data manual processing cost is high are solved, automatic nondestructive detection and anomaly correction of the pavement thickness are achieved, and accurate data support is provided for maintenance design.

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 discloses an electromagnetic heating maintenance vehicle for an asphalt pavement in the technical field of pavement maintenance, and the electromagnetic heating maintenance vehicle comprises a vehicle, a folding support, an electromagnetic generation plate, a fixing frame and an adjusting frame, the electromagnetic generation plate is hung on the fixing frame, and the electromagnetic generation plate can contract and extend backwards to heat the pavement; the folding support can rotate and fold the electromagnetic generation plate on the outer side by 180 degrees, the maintenance mode of the asphalt pavement can be optimized, daily maintenance and repair can be actively conducted on the pavement, active repair of cracks in the germination stage is achieved through electromagnetic refined permeation heating and reduction of asphalt flow activation energy, the service life of the pavement is greatly prolonged, and the service life of the pavement is prolonged. The device can automatically recognize the height and temperature of the road surface to control the interval height and heating temperature between the electromagnetic coil and the road surface, so that the self-adaptive road surface repairing effect is achieved, the device can be flexibly switched between the normal transportation driving state and the construction operation state, and transportation driving and construction operation are more convenient.

The invention discloses a pavement maintenance system and detection method based on an unmanned aerial vehicle, and belongs to the technical field of highway maintenance, and the method comprises the following steps: obtaining a pavement image and three-dimensional point cloud data of a target road section based on a main survey machine; screening a road surface suspicious region set in the target road section based on the road surface image and the three-dimensional point cloud data acquired by the main surveying machine; planning a re-exploration path based on the road surface suspicious region set; the method comprises the following steps: acquiring an optical image, a thermal infrared image and three-dimensional point cloud data of a road surface suspicious region set from a surveying machine; and performing defect verification on the road surface suspicious region set based on the optical image, the thermal infrared image and the three-dimensional point cloud data acquired from the surveying machine. The technical problems that a traditional road surface detection mode is low in detection efficiency, needs to close a lane and hinders traffic are solved, and the technical effect of low-cost, high-precision and rapid road surface detection is achieved.

The present invention discloses a highway construction and maintenance device, belonging to the technical field of pavement maintenance equipment. The device comprises a vehicle frame, a pavement milling structure fixedly mounted on the front end of the vehicle frame, the pavement milling structure being fixedly connected to a gravel collecting device, a fixedly connected milling pavement hammering structure provided at the end of the vehicle frame, and the gravel collecting device being disposed between the pavement milling structure and the milling pavement hammering structure. In order to quickly compact the pavement after milling and prevent the falling of soil and rocks at the edges of milled potholes, the present invention provides a highway construction and maintenance device. While compacting the potholes after milling, the device also pushes and presses the loose soil and rocks at the edges of the pit, thereby stabilizing the pit edge and facilitating the stable connection of subsequently poured concrete with the original concrete in the pit.

The invention relates to the technical field of image recognition, in particular to an asphalt pavement crack detection method and system. The method comprises the following steps: collecting a road surface image of a target road section, executing illumination compensation, and generating a to-be-analyzed road surface image; determining the road indication texture of the target road section according to the gray level change condition of the pixel points in the to-be-analyzed road surface image; removing non-pavement texture features in the to-be-analyzed pavement image by using the road indication texture; identifying a linear crack region according to pavement texture features in the to-be-analyzed pavement image, associating lane information, and generating a crack feature set of each lane of the target road section; and identifying crack connectivity between adjacent lanes according to the crack feature set of each lane, and dividing maintenance priorities of cracks of the target road section based on the crack connectivity between the adjacent lanes to obtain a pavement maintenance report of the target road section. According to the invention, the precision and reliability of crack identification are obviously improved, and accurate identification of cracks of a single lane and adjacent lanes can be realized.

The invention provides an optimization design method of a fiber rubber gravel seal layer for inhibiting pavement reflection cracks. The optimization design method comprises the following steps: determining optimal fibers; determining an optimal aggregate; preparing a plurality of groups of third test pieces by taking the optimal fiber dosage, the optimal aggregate spreading amount and the optimal rubber asphalt dosage as variables through an orthogonal test; and combining the third test piece with the base layer with the crack and the overlay layer, preparing a fourth test piece, carrying out a reflection crack simulation test, and determining the combination of the material with the optimal crack resistance according to the test result. The method takes the reflection crack resistance of the fiber rubber asphalt macadam seal as a main evaluation index, and has the advantages of scientificity, reasonability and accuracy compared with the prior art. The fiber rubber gravel sealing layer obtained through the design method has excellent reflection crack resistance, the crack resistance of the composite pavement can be remarkably improved, the pavement maintenance and repair cost can be reduced, the pavement service cycle can be prolonged, and the fiber rubber gravel sealing layer has wide popularization and application prospects.

The invention discloses a milling control method and system of an electric milling machine, and belongs to the technical field of pavement maintenance machinery. According to the method, the milling mode can be determined according to the precision of the target planing and milling task, the milling machine walking speed adjusting strategy enabling the milling machine to keep the optimal power consumption is determined based on the power source load and the milling motor rotating speed in the determined milling mode, and finally the milling machine is controlled to execute the target task according to the milling machine walking speed adjusting strategy. The output power of the whole machine is more reasonable, the milling machine is prevented from being in a high-power output state for a long time, and the problems that a traditional milling machine can only passively output the power of the whole machine according to load power such as external milling and the like during operation, and construction energy consumption is high are solved.

The invention provides an expressway digital maintenance management method and system, and belongs to the field of pavement maintenance, and the method comprises the construction of a multi-mode sensing network, and achieves the accurate monitoring of a vehicle impact event and a pavement foreign matter through the pre-burying of a LoRaWAN vibration sensor and a millimeter wave radar array. A road surface point cloud model is generated by using a laser radar and an integrated navigation system, and three-dimensional space-time disease modeling is realized by combining infrared thermal imaging data. And during work order generation, maintenance decision is performed through a semi-Markov decision process, a maintenance strategy is optimized by adopting deep reinforcement learning, and an AR work order is generated for visualization and conflict detection. And meanwhile, a multi-relation graph is constructed to predict a pavement performance attenuation trend, and knowledge migration and generalization of a cross-section maintenance strategy are realized by using federal migration learning, so that the maintenance working efficiency and quality are improved, and digitization and automation of highway maintenance management are realized.

The invention discloses cutting equipment for pavement maintenance, and relates to the field of cutting equipment.The cutting equipment comprises a cutting vehicle, a cutting engine and a cutting power frame are installed on the cutting vehicle, a driving disc is installed on the cutting engine, and two driving rotating frames are rotatably installed on the cutting power frame; a cutting saw is mounted on one driving rotating frame; the device further comprises a hammering obstacle removing device. It needs to be explained that in the cutting process of the cutting vehicle, through continuous lifting of the lifting hammering frame, the two hammering heads hammer and smash obstacles on the road surface, the obstacles are pushed away through the synchronous shoveling plate, it is guaranteed that the cutting saw and the cutting vehicle cannot be blocked by the obstacles, and in addition, if the obstacles cannot be shoveled away, the cutting saw and the cutting vehicle cannot be shoveled away. And when the cutting saw breaks away from the ground, the synchronous shovel plate is stopped from retracting, and then the lifting rotating rod drives the cutting power frame to rotate through the lifting wheel, so that the cutting saw breaks away from the ground, and the problem that the cutting saw makes contact with an obstacle to cause accidents is solved.

The invention discloses a pavement health state monitoring method and system based on image recognition, and relates to the technical field of data processing, and the method comprises the steps: determining a road distribution network of a preset monitoring region; collecting periodic flow information of each road; performing road surface state transition prediction, and determining each monitoring period; collecting each road image data set; performing pavement disease identification, and extracting a target maintenance pavement set for triggering a pavement maintenance instruction at a first time node; and judging whether the maintenance resources meet the demand resources for concurrent maintenance of the target maintenance pavement set, and if not, generating a maintenance priority sequence and sending the maintenance priority sequence to a management terminal for reminding. The technical problems of low pavement health monitoring accuracy, lack of dynamic optimization of maintenance decision, low maintenance efficiency and unreasonable resource allocation in the prior art are solved, and the technical effects of improving the pavement disease recognition automation degree, the health monitoring accuracy and the pavement maintenance efficiency and optimizing maintenance cycle planning are achieved.

The invention relates to the technical field of maintenance equipment, and discloses intelligent pavement maintenance equipment for bridge construction and a working method thereof.The intelligent pavement maintenance equipment comprises a control screen, a maintenance mechanism and a cabinet door, and the maintenance mechanism is provided with a water pipe and a central processing unit. An infrared temperature sensor on the sensor monitors the temperature of a road surface, the opening and closing degree of the adjusting mechanism is controlled according to the temperature, the small hydraulic press hydraulically pushes the limiting structure to ascend and descend, and after the limiting structure ascends and descends, the gap between the limiting structure and the limiting structure changes; therefore, the passing amount of water flow is changed due to the change of the gaps, the water flow is adjusted according to the temperature change monitored by each spraying mechanism, the effect of intelligently adjusting the water spraying amount is achieved, and it is ensured that the humidity is kept at a certain degree in the pavement concrete hardening process. And the problem that the pavement concrete strength is too low due to too large or too small water spraying amount is prevented.

The invention discloses an urban and rural pavement maintenance monitoring system based on intelligent well lid data linkage, and the system comprises a data collection module which detects the acceleration data, angular motion data and inclination angle change data of a well lid in real time through a three-axis acceleration sensor, a gyroscope and an inclination angle sensor which are disposed on the well lid; the edge calculation module is used for calculating a vibration value of the well lid according to the acceleration data, the angular motion data and the inclination angle change data of the well lid and correcting the vibration value; the cloud data center obtains a risk index of a road surface where the well lid is located through a pre-constructed association model according to the corrected vibration value and the position of the well lid corresponding to the vibration value; and the maintenance decision terminal module performs maintenance decision on the road surface where the well lid is located according to the risk index of the road surface where the well lid is located. According to the invention, the well lid on the road surface is taken as the basis of data acquisition, and the maintenance condition of urban and rural road surfaces is detected in real time by acquiring the data on the well lid, so that the maintenance condition can be accurately obtained in real time.

The utility model relates to the technical field of pavement base course maintenance, and discloses a pavement maintenance device which comprises a water storage tank, a water spraying assembly arranged on one side of the water storage tank, a connecting seat arranged in the middle of the water spraying assembly, and an auxiliary assembly arranged on the connecting seat, wherein a telescopic plate is arranged on the auxiliary assembly, and the telescopic plate is used for adjusting the length of the auxiliary assembly; the water spraying assembly is used for spraying water in the water storage tank to the ground to maintain the ground; the auxiliary assembly is used for driving the water storage tank to move. By means of the water storage tank grip, the problem that the length of the water storage tank grip cannot be adjusted can be solved, free adjustment of the length of the water storage tank grip is achieved, the operation comfort and efficiency are improved, and the use requirements of different workers are met.

The application discloses a ground penetrating radar time-frequency feature selection method and system based on crack morphology similarity, and belongs to the technical field of road engineering pavement maintenance. The application carries out time-frequency feature analysis on the extracted electromagnetic signal; calculates the change rate of the crack and the intact part, and maps the calculated change rate of each data in the crack marking frame to the crack identification marking frame; further calculates the maximum curvature of the change rate curve, and forms a marking point; analyzes the morphology similarity of the marking point and the crack, obtains a feature comprehensive score, and determines the feature importance. The application carries out feature screening based on the similarity between the crack morphology identified by the feature and the actual crack morphology, can directly show the sensitivity of different features to the crack, screens the most sensitive features to the crack, and can greatly reduce the number of features.

The utility model relates to the technical field of maintenance equipment, and discloses municipal road pavement maintenance equipment which comprises a shell, a plurality of wheels are rotatably connected to the bottom of the shell, a plurality of mounting columns are fixedly connected to the right side of the bottom of the shell, and a plurality of mounting cylinders are fixedly connected to the bottoms of the mounting columns. The outer walls of the multiple mounting columns are rotationally connected with multiple second short columns, the right sides of the multiple second short columns are fixedly connected with multiple connecting plates, and the right sides of the multiple connecting plates are fixedly connected with multiple fixing plates. According to the maintenance equipment, a second short column is rotated, a connecting plate drives a fixing plate to rotate, a connecting block and brush heads rotate together, the brush heads move front and back, then a first short column starts to be rotated, a second rotating plate and a third rotating plate are driven to rotate, the brush heads stretch out and draw back, and the cleaning range can be freely adjusted when the maintenance equipment cleans a road; the practicability is enhanced.

The invention relates to a pavement maintenance intelligent decision-making method and system based on deep learning and GIS, and belongs to the field of artificial intelligence traffic science. The method comprises the following steps: collecting road surface images and road geographic data, constructing a GIS image data set GISVision after manual labeling, preprocessing the GIS image data set GISVision, and dividing a training set, a verification set and a test set; inputting road image data into an image feature extractor, inputting road geographic data into a GIS feature encoder, and respectively obtaining image features and GIS encoding features; the two images are processed by a geographic alignment image encoder to obtain joint features, the image features and the joint features are added and then input into a disease form modeling device to obtain disease modeling features, and then the disease modeling features are respectively input into a road risk grade scoring device and a maintenance visualization generator to obtain predicted risk grades and maintenance visualization images; and constructing total loss function training, iterating parameters by using an Adam optimizer, finally inputting to-be-predicted data into the trained model, and combining the maintenance prediction condition of the GIS pavement maintenance scientific decision system. According to the invention, the accuracy of road disease identification can be improved, and scientific early warning and decision making are realized.

The invention discloses a movable continuous ice and snow pavement surface friction performance testing device. The device comprises a stepping motor, a blocking piece, a spring, a movable sliding plate, an impact plate, a bottom plate, a lower meshing piece, an upper meshing piece, a connecting rod, a rubber block, a vertical connecting rod, a transverse connecting rod, a fixed arc-shaped plate, a speed sensor, a temperature sensor, a wind speed sensor, a wind shield, a processor and a base plate. The device has the advantages that the device is simple, easy to operate and convenient to move, a temperature sensor, a wind speed sensor and a speed sensor are arranged in the device, and the device can efficiently and accurately evaluate the friction resistance performance of different types of ice and snow airport pavements in severe environments such as polar regions and the like through accurate energy release, stable ejection control and accurate data processing and analysis; and important technical support is provided for guaranteeing traffic transportation safety and pavement maintenance.

The utility model discloses an expressway pavement maintenance water spraying device which comprises a vehicle body, a water storage tank, a water pump and a mounting plate are arranged at the top of the vehicle body, a water inlet pipe is arranged on one side of the water storage tank, an adjusting pipe is arranged on one side of the mounting plate, a water collecting mechanism and a threaded rod are arranged at the top of the water storage tank, and a nut is arranged on the threaded rod. A connecting port is formed in the top of the water storage tank, a sealing ring is arranged in the connecting port, a rotating rod is arranged on one side of the adjusting pipe, a stepping motor is arranged on the mounting plate, and a water collecting plate is arranged on the adjusting pipe. Through the arrangement of the water collecting mechanism, the threaded rod, the nut, the connector, the sealing ring, the adjusting pipe, the rotating rod, the stepping motor, the water collecting plate and the water spraying holes, rainwater can be recycled through the structure, water is supplied to the device through a rainwater filtering water source, resource waste is reduced, and the environmental protection property of the device is improved; and the structure enables the water spraying inclination angle of the device to be automatically adjusted, so that the water spraying coverage of the device is more uniform.

The invention provides a road performance prediction and maintenance scheme decision optimization method based on implicit diseases, and relates to the technical field of pavement maintenance decision optimization, and the method comprises the steps: collecting surface disease data parameters and implicit disease data parameters of each maintenance unit; calculating a current pavement PCI value of each maintenance unit; classifying implicit diseases according to types, top end depth positions and bottom end depth positions by applying a decision tree algorithm; constructing a road surface PCI prediction model of natural decay and different treatment depths based on a classification result; calculating PCI predicted values of the maintenance units in different treatment modes and PCI amplification benefits and budget costs corresponding to different treatment depths of the maintenance units by using the pavement PCI prediction model; a pavement maintenance technical scheme decision optimization model is constructed by combining a DE algorithm with a multi-objective optimization algorithm of an NSGA-II algorithm, pavement maintenance technical scheme decision optimization calculation is carried out with maintenance benefit maximization and maintenance cost minimization as double objectives, and an optimal scheme is output according to a TOPSIS method.

The utility model belongs to the technical field of road pavement maintenance, and particularly relates to road pavement maintenance equipment which comprises a bottom plate, a stirring box used for loading concrete repairing materials is arranged at the top of the bottom plate, and the stirring box is integrally manufactured by a containing barrel, a conical hopper and a discharging pipe from top to bottom. A feeding opening in the bottom of the stirring box extends to the position below the bottom plate, a bearing is rotationally installed in the center of the top of the stirring box, a stirring shaft extending into the stirring box is inserted into the bearing, a limiting sliding groove is formed in the inner surface of the bearing, and a limiting protrusion in sliding connection with the limiting sliding groove is fixed to the outer wall of the stirring shaft; a conical sealing cover is rotationally mounted at the bottom end of the bearing; according to the utility model, when the equipment moves, the concrete repairing material in the stirring box can be stirred through the movement of the equipment, so that the concrete repairing material in the stirring box is prevented from being solidified in the moving process, the energy consumption of equipment operation is also reduced, and the equipment is relatively energy-saving and environment-friendly.

The application provides a highway pavement maintenance method, and belongs to the technical field of highway maintenance, which comprises the following steps: using a first graphic mark at a damaged position of a highway pavement, digging downward according to the first graphic to form a reinforced foundation pit; using a second graphic to cover the first graphic on the highway pavement, performing surface damage treatment on the highway pavement in the second graphic to form a ring-shaped reinforcing connection layer; arranging a first support and a second support in the reinforced foundation pit; filling base material into the reinforced foundation pit to form a new base layer; installing a ring-shaped reinforcing structure on the reinforcing connection layer, and the center position of the reinforcing structure is recessed downward to form a reinforcing connection part, which enters the reinforced foundation pit and is located above the new base layer. The highway pavement maintenance method provided by the application greatly improves the bearing capacity and strength of the repaired damaged position, and the repaired surface layer is not prone to secondary cracking, thereby ensuring long-term effectiveness of highway maintenance work.

The utility model discloses old asphalt pavement shoveling equipment, which belongs to the technical field of pavement maintenance equipment and comprises a vehicle body and a shovel blade on the front side of the bottom of the vehicle body, a cab is arranged on the upper portion of the vehicle body, a traveling mechanism is arranged at the bottom of the vehicle body, a recovery conveying mechanism is arranged on the front side of the shovel blade, and a pavement galling mechanism and a sweeping mechanism are arranged on the rear side of the shovel blade. And the scraper knife connected with the high-frequency impact assembly performs high-frequency impact and preliminary crushing on the old asphalt pavement. The shovel blade is controlled by the console in the cab to shovel the old asphalt pavement, meanwhile, the recycling and conveying mechanism is used for collecting old asphalt pavement materials and conveying the old asphalt pavement materials to a subsequent crushing procedure to be crushed, and then the shoveled pavement is galled and concrete residues are cleaned through the pavement galling mechanism and the sweeping mechanism, so that the subsequent workload is reduced. The asphalt pavement stripping machine has the advantages of multiple purposes, high integration level and high efficiency, can strip an old asphalt pavement, meets the recycling requirement, galls and cleans the pavement, is convenient to directly pave, and can accelerate the construction progress.

This invention discloses a semi-rigid base pavement maintenance structure, relating to the field of pavement maintenance technology. It includes a pavement asphalt concrete layer, a bridge deck asphalt concrete layer, and a cast-in-place subgrade located beneath both layers. The cast-in-place subgrade has an embedded frame inside. Speed ​​reduction pads are provided at the connection points of the pavement and bridge deck asphalt concrete layers. The structure also includes: a lever mechanism installed inside the embedded frame; and a first elastic support mechanism connected to the speed reduction pads. The semi-rigid base pavement maintenance structure provided by this invention can repair cracks from within the road surface and has a strong interconnected technical effect.