410 results about "Pavement maintenance" patented technology

The invention discloses an asphalt concrete pavement early crack detection method and system, and the method comprises the steps: S1, obtaining pavement three-dimensional point cloud data to form a texture image, recognizing a gray level change region, and marking the region as a suspected crack region as a first crack degree; s2, segmenting a suspected crack region through a deep learning model Mask R-CNN, determining a crack type, and measuring geometric parameters of the crack as a second crack degree; s3, in combination with historical data and environmental factors, the development trend and the damage degree of the crack are evaluated through a machine learning model to serve as a third crack degree; s4, establishing a crack detection mechanism, and recording and tracking the state change of the early asphalt concrete pavement crack; and S5, setting and comparing crack state evaluation thresholds, and performing early warning when the crack state evaluation thresholds exceed a threshold boundary mechanism. According to the invention, an early crack state tracking and early warning mechanism is realized, and the efficiency and quality of pavement maintenance work are improved.

The invention provides a pavement crack detection method and apparatus, and an electronic device. The method comprises the steps of obtaining a crack image and a crack prediction model obtained by pre-training; wherein the crack prediction model comprises a visual modeling model, an inference model and a dynamic multi-modal fusion network; performing hidden space global visual modeling on the crack image based on a visual modeling model to obtain hidden space global visual features; generating a semantic mask matrix guided by global scene semantics for the crack image based on an inference model; and inputting the hidden space global visual features and the semantic mask matrix into a dynamic multi-modal fusion network, and predicting to obtain crack information. According to the invention, pixel-level prediction of the crack can be carried out, accurate detection of the pavement crack is realized, and technical support is provided for pavement maintenance.

The invention provides an automatic generation method and system for an intelligent pavement maintenance scheme, and relates to the technical field of road maintenance, and the method comprises the steps: obtaining a pavement image, and recognizing a disease through a convolutional neural network; a multi-scale grid is utilized to adaptively extract geometric features, and dynamic evaluation vector classification is constructed; matching a basic scheme based on the evaluation result; a maintenance scheme is optimized through a cross attention enhanced hierarchical decision network; and space-time influence analysis and dynamic adjustment are carried out. The pavement maintenance efficiency and quality are improved, the resource waste is reduced, and the influence on traffic is reduced.

The invention relates to the technical field of automatic inspection, in particular to an automatic road surface inspection robot control method and equipment, and the method comprises the steps: collecting environment data and robot motion state data through integrating a plurality of sensors, carrying out the preprocessing, carrying out the data fusion through employing a Kalman filtering algorithm, and generating a comprehensive road surface state map; a disease area is accurately identified and positioned through a convolutional neural network, dynamic path planning and polling strategy optimization are performed through a reinforcement learning algorithm, adaptive control of a complex road surface environment is realized through a fuzzy control algorithm, and meanwhile, a targeted road surface maintenance suggestion and an emergency processing scheme are generated according to real-time polling data, so that the real-time polling of a road surface is realized. According to the method, the scientificity and timeliness of road surface maintenance and traffic management are effectively improved, the road surface diseases can be accurately recognized and the inspection path can be optimized in a complex environment, and the road surface inspection efficiency and the intelligent level of road maintenance are remarkably improved.

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 management, and particularly relates to abnormal value identification according to characteristics of maintenance data and a quartile spacing method to obtain a normal data set and an abnormal data set after abnormal maintenance measures are removed; constructing a long short-term memory network model, and finding a group of optimal hyper-parameters by using a quintuple cross validation grid search method; and training by using the LSTM model and the collected normal data set to obtain the optimal weight and offset parameter of the model, and obtaining an asphalt pavement maintenance engineering data prediction model for predicting and filling the vacancy in the data set. The invention provides a pavement maintenance data abnormal value cleaning method considering time sequence characteristics. According to the method, reference is provided for asphalt pavement management data cleaning research, the availability of data in a pavement management system is improved, and a decision maker can be helped to formulate a scientific and reasonable pavement maintenance scheme.

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 disclosure provides a detection and analysis method for rapid delineation of aging stages of styrene-butadiene-styrene (SBS) modified asphalt, including the following steps: performing a Fourier transform infrared spectroscopy (FTIR) test on unaged SBS-modified asphalt samples to obtain a copolymer index of IB0 / S0 and neat asphalt functional group indexes, including the SI0, IB, aI0, ARI0, and CI0; performing the FTIR test on the aged SBS-modified asphalt samples to obtain an actual index of IB / S, SI, IB, aI, ARI, and CI; and delineating three aging stages of SBS-modified asphalt, including a polymer swelling stage, a polymer degradation stage and a component imbalance stage according to changes of functional group indexes. According to the present disclosure, the actual aging stages of the SBS-modified asphalt can be determined rapidly and accurately, providing a reasonable basis for the decision on pavement maintenance timing and mode.

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 provides a pavement maintenance type intelligent determination method and equipment based on data frequency distribution, and the method comprises the steps: obtaining road condition detection data of a preset road section, and determining a road section type corresponding to the preset road section; for each road condition index, determining a first cumulative distribution rate corresponding to the road condition index in the current year according to the current road condition index data; determining a second cumulative distribution rate corresponding to the road condition indexes in each historical year according to the historical road condition index data; determining a road condition index maximum value and a road condition index minimum value corresponding to the road section type according to the first cumulative distribution rate and the second cumulative distribution rate; obtaining a target road condition index and a target road section type of the target road section, and searching to obtain a target road condition index maximum value and a target road condition index minimum value according to the target road condition index and the target road section type; and comparing the target road condition index with the target road condition index maximum value and the target road condition index minimum value, and determining a target maintenance type corresponding to the target road section.

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 present disclosure provides a detection and analysis method for rapid delineation of aging stages of styrene-butadiene-styrene (SBS) modified asphalt, including the following steps: performing a Fourier transform infrared spectroscopy (FTIR) test on unaged SBS-modified asphalt samples to obtain a copolymer index of IB0 / S0 and neat asphalt functional group indexes, including the SI0, IB, aI0, ARI0, and CI0; performing the FTIR test on the aged SBS-modified asphalt samples to obtain an actual index of IB / S, SI, IB, aI, ARI, and CI; and delineating three aging stages of SBS-modified asphalt, including a polymer swelling stage, a polymer degradation stage and a component imbalance stage according to changes of functional group indexes. According to the present disclosure, the actual aging stages of the SBS-modified asphalt can be determined rapidly and accurately, providing a reasonable basis for the decision on pavement maintenance timing and mode.

The invention relates to the technical field of pavement maintenance, and particularly discloses a pavement crushing device for dismantling a well lid and a crushing method of the pavement crushing device. A support plate; and a sleeve. According to the device, the protective cover is located on the periphery of the well lid, the protective cover is pressed downwards and abuts against the road surface, then the rocker arm drives the machine frame to move downwards, a plurality of sleeve rods on the triangular plate are arranged in corresponding sleeves on the protective cover in a sleeved mode, and therefore the triangular plate is fixed, the tool bit is connected with the triangular plate, and the triangular plate and the protective cover are both in a fixed state; the mode does not need to consider the state of the well seat, and the cutter head is kept in a stable state during rotation, so that the cutter head is effectively prevented from deviating during rotation, on one hand, the condition that the service life of the cutter head is shortened due to other stress during milling is avoided, and on the other hand, the milling efficiency is improved.

The invention belongs to the technical field of pavement condition data monitoring, and particularly relates to a pavement maintenance and condition data abnormal value comprehensive identification method based on data driving. The method comprises the following steps: respectively training a maintenance measure probability prediction model based on an artificial neural network and a pavement condition prediction model based on a Bayesian neural network by using a normal data set; the method comprises the following steps: performing abnormal maintenance data identification and correction by using a trained maintenance measure probability prediction model based on an artificial neural network, and performing abnormal pavement condition index data identification and correction by using a pavement condition prediction model based on a Bayesian neural network. And dynamic adjustment of maintenance data abnormal threshold values and road condition index abnormal threshold values of different road sections is carried out in combination with a 2 sigma principle. The method can be used for improving the data quality of the pavement management system and helping managers to make scientific and reasonable maintenance decisions.

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 discloses a mining area road surface maintenance decision method and system based on road surface state estimation and a storage medium, and belongs to the technical field of mining area road surface detection.The method comprises the steps that road surface state real-time relevant parameters collected when a vehicle runs in a current area of a mining area road surface are obtained, and the real-time relevant parameters are preprocessed; performing feature extraction on the preprocessed parameters to obtain a related feature set; feature learning is carried out on the related feature set according to historical samples, a road surface state estimation value of the current area is obtained, the historical samples comprise historical related features and road surface state values corresponding to the historical related features, and the road surface state values represent the road surface bumping degree; optimizing the road surface state estimation value according to the historical state of the current area; and according to the optimized road surface state estimation value, a corresponding vehicle passing and road surface maintenance scheduling instruction is made, so that the unmanned driving potential safety hazard of the mining area is reduced, and the unmanned driving working efficiency and stability are improved.

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 provides an expressway natural disaster early warning method and system, and the method comprises the steps: obtaining multi-dimensional expressway data of a set road section, and forming a real-time data set of the corresponding road section based on the multi-dimensional expressway data; wherein the multi-dimensional expressway data comprises historical disaster and risk data, video data, pavement maintenance monitoring data and meteorological data; inputting the real-time data set into a pre-trained highway natural disaster early warning model, and outputting and obtaining natural disaster early warning information of a corresponding road section; and sending a user notification message generated based on the natural disaster early warning information to a user touch device, so that a user receives the user notification message. According to the invention, natural disaster early warning can be quickly given out to users on the expressway, so that the safety of vehicles driving at a high speed is ensured.

The invention discloses road maintenance equipment for traffic engineering, and belongs to the technical field of pavement maintenance equipment.The road maintenance equipment comprises a cart frame and a crack cutting mechanism arranged on the cart frame, the crack cutting mechanism comprises an adjusting component, two sets of telescopic components, two mounting frames and two cutting devices, the adjusting component is arranged on the cart frame, and the two sets of telescopic components are arranged on the two mounting frames; each telescopic component is arranged on the corresponding adjusting component, each mounting frame is arranged on the corresponding telescopic component, and each cutting device is mounted on the inner wall of the corresponding mounting frame. According to the road maintenance equipment for traffic engineering, through the crack cutting mechanism, cracks can be cut according to the depth of the cracks, tight combination of repairing materials and crack areas can be ensured, the falling and cracking risks after repairing are reduced, the situation that repairing is incomplete or road surface damage is aggravated due to insufficient or excessive cutting is avoided, and the road maintenance efficiency is improved. And through the processing mechanism, the cut cracks can be cleaned, and when the repairing material at the cracks needs to be flattened, the repairing material is tightly combined with the surrounding pavement.

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 utility model discloses a pavement maintenance device for road construction, and belongs to the technical field of road engineering. A road surface maintenance device for road construction comprises a frame, the frame is provided with a compaction mechanism, the compaction mechanism comprises a first shell and a lifting mechanism arranged in the first shell, the lower portion of the lifting mechanism is connected with a lifting rod, the lifting rod is in sliding connection with the first shell, and the lifting rod penetrates through the first shell and is connected with a pressing disc; a grinding mechanism is further arranged on the frame, the grinding mechanism comprises a second shell and a transmission mechanism arranged in the second shell, and a grinding disc is arranged below the transmission mechanism; the driving mechanism is arranged on the frame, and the lifting mechanism and the transmission mechanism are both connected to the driving mechanism. According to the utility model, the purpose of simultaneously smoothing and compacting the pavement is achieved, and the pavement repairing effect is improved.