7840results about "Roads maintainence" patented technology

The invention relates to the field of road compactness monitoring, in particular to a road compactness real-time regulation and control method and system based on digital twinning, and the method comprises the steps: collecting vibration acceleration, temperature and position data, and generating a time-space aligned multi-source fusion feature data set after processing; inputting a pre-trained LSTM model to construct a dynamically updated digital twinborn body, and outputting a three-dimensional compaction energy spectrum; dispersing the atlas and calculating parameters, and generating a compaction degree deviation matrix; a regulation and control instruction is generated and issued based on matrix optimization; and according to the measured data and the predicted value residual error, triggering re-optimization and calibrating the sensor. According to the method, the problems of non-uniform compaction quality and over-high energy consumption caused by poor adaptability, decision lag and error coupling of a traditional static model are solved.

The invention provides a Transform and CNN fused crack detection and structure evaluation system and method. The system comprises an image preprocessing module, a crack feature extraction module, a crack positioning and classification module, a crack boundary refinement module and a structure integrity evaluation module. Through combination of the CNN and the Vision Transform, local and global features in the image can be extracted at the same time, and the precision of crack detection is enhanced. The dynamic attention mechanism is used for refining fracture boundaries and improving fracture positioning and recognition effects. And the structure health assessment module combines crack information and structure stress analysis, performs structure risk assessment by using a support vector machine or a random forest, and outputs a structure health state and a repair suggestion. The invention further provides an evaluation scheme of the system. The method improves the precision and robustness of crack detection, has higher multi-scale detection capability, noise robustness and real-time performance, and is suitable for automatic monitoring and health management of civil infrastructures.

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 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 relates to the technical field of road engineering and artificial intelligence, and discloses a traffic road disease detection system and method based on a cloud edge-end architecture, and the system comprises: 1, a vehicle-mounted multi-mode optical sensing terminal which is used for synchronously collecting pavement images, spectrums and three-dimensional data; the vehicle-mounted edge calculation unit is used for constructing a digital twin baseline of the road surface grid unit and executing unique double-path parallel analysis, on one hand, the health degree attenuation degree of the current state compared with the baseline is quantified, and on the other hand, whether the change is caused by a natural disease or a manual maintenance event is judged through a feature signature recognition engine; and the cloud management platform is used for storing historical health degree data and predicting a future attenuation trend through a time sequence model. According to the method, the problems that early compound diseases are difficult to recognize and the maintenance behavior is easily misreported as the pain point of the diseases in the prior art are solved, the crossing from passive detection to active prediction is realized, and the accuracy of road detection and the scientificity of maintenance decision are remarkably improved.

The invention relates to the technical field of road maintenance, and discloses a laser leveling automatic control system for the paving thickness of a cold-recycled mixture, and the system comprises a state obtaining module which is used for obtaining state information in real time; the prediction module is used for generating a final forming thickness prediction value based on the dynamic compaction settlement model; the control decision module is used for determining the deviation between the final forming thickness predicted value and the preset target forming thickness and outputting a target control instruction based on the deviation; the execution module takes the target control instruction as input and sends the target control instruction to the paving device; and the model correction module is used for adjusting parameters of the dynamic compaction settlement model. The state information in the state acquisition module is received through the prediction module, a final forming thickness prediction value is generated, and error feedback adjustment is performed based on the final forming thickness prediction value, so that advanced modeling and compaction ratio prediction and auxiliary paving elevation regulation are realized, and the problems of large system hysteresis and slow response to nonlinear settlement are solved.

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 discloses a frozen soil roadbed hot melt settlement laser scanning measurement method and system, and relates to the technical field of measurement, the method comprises the following steps: obtaining gridding surface data, and obtaining an elevation data sequence of each grid point; acquiring an elevation change index of each grid point according to the elevation data sequence of each grid point; acquiring a plurality of grid points adjacent to the ith grid point and taking the plurality of grid points as a plurality of reference grid points of the ith grid point, acquiring each relative difference quantity of the ith grid point, and acquiring a correction proportion of the ith grid point according to the plurality of relative difference quantities of the ith grid point; and obtaining target elevation data of each grid point according to the correction proportion of each grid point and the measured elevation data at the current moment, and forming a measurement result including the gridding surface data according to the target elevation data of each grid point. The method has the advantages of identifying abnormal values, dynamically correcting measurement and improving data reliability.

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 discloses an efficient preparation and construction optimization system and method for a cold patch asphalt mixture, and belongs to the technical field of construction optimization. Environmental parameters of a construction site are collected, including altitude, an air pressure correction coefficient and a light volatile factor, and a multi-scale mixture model coupled with air pressure response is constructed; analyzing the volatilization path, the structural stability and the initial bonding strength of the mixture in combination with discrete elements and fluid mechanics simulation, and further extracting a structural retention threshold value and reversely deducing the proportion adjustment amount of medium-high boiling point solvent components; meanwhile, a microcapsule controlled release technology is adopted to delay release of light components, adaptive construction parameters are output based on a simulation platform and a machine learning model, the paving temperature and the compaction frequency are dynamically optimized, and efficient cooperation and intelligent regulation and control of the cold patch material performance and the site construction technology are achieved.

The invention relates to the technical field of image recognition, and provides a road surface cleaning decision-making method and device based on image recognition, equipment and a medium. The environment perception matrix is subjected to feature analysis through a lightweight neural network to obtain a pavement type probability distribution vector, and the binocular vision image is subjected to pavement defect segmentation through an improved U-Net network to obtain a pavement damage space distribution map, so that a resource constraint condition is combined to carry out multi-target optimization solution to obtain an optimal strategy set. And performing entropy weight-superior and inferior solution distance dynamic decision on the optimal strategy set to generate a real-time cleaning parameter instruction, performing obstacle identification and path planning according to the environment perception matrix to generate a collision-free path point sequence, and performing linkage control according to the real-time cleaning parameter instruction and the collision-free path point sequence to obtain a cleaning equipment driving signal. Through the technical means of multi-mode, multi-scale, dynamic feedback and the like, the method effectively adapts to diversified road conditions, and the resource utilization rate of road surface cleaning is improved.

The invention relates to the field of intelligent transportation systems, discloses an intelligent highway maintenance system and method, and aims to solve the fundamental defects that in the prior art, the data acquisition dimension is single, the maintenance decision depends on artificial experience, and prospective prediction is lacked. The method comprises the following steps: acquiring multi-modal dynamic sensing data covering a whole road domain; constructing and updating a four-dimensional space-time digital twinborn model in real time; driving the causal graph neural network model to perform structure health state prediction and diagnosis; generating an active maintenance instruction through a multi-objective optimization engine; and the autonomous maintenance execution unit is dispatched to complete unmanned closed-loop operation. According to the method and the system, fundamental transformation of road maintenance from passive response to active prevention, from artificial experience to intelligent decision making and from discrete operation to closed-loop automation is realized, and the maintenance efficiency, the safety and the health level of the whole life cycle of the road are remarkably improved.

The invention discloses a data processing method and system for intelligent road detection and related equipment, and relates to the technical field of traffic engineering and artificial intelligence crossing. In the road detection process, multi-sensor fusion equipment with dynamic adjustment is adopted to collect multi-source data; the real-time environment perception model based on deep reinforcement learning dynamically optimizes the parameters of the multi-modal sensor, and improves the data acquisition quality in severe weather and environment. Millimeter-level alignment of multi-source data is realized by adopting a spatio-temporal model, and a generative adversarial network is introduced to enhance the multi-source data after spatio-temporal alignment so as to supplement missing data details and improve data quality. Disease intelligent identification is carried out on multi-source data through a sample learning model and a meta-learning algorithm, the sample learning model solves the problem of insufficient labeling samples of micro-disease data, the meta-learning algorithm is quickly generalized on the basis of a small amount of labeling data, micro-diseases such as early cracks and hidden road structure layer defects are identified, and the accuracy of identification is improved. And the accuracy of road disease identification is improved.

A slip form paving machine includes a machine frame, a plurality of ground engaging wheels or tracks, and front and rear height adjustable lifting columns supporting the machine frame from the ground engaging wheels or tracks, the lifting columns being adjustable to adjust a longitudinal inclination of the machine frame in a paving direction. A slip form mold is supported from the machine frame for molding a mass of concrete into a formed not yet hardened concrete slab as the paving machine moves forward in the paving direction. An oscillating beam is supported from the machine frame behind the slip form mold for engaging and oscillating transversely to the paving direction upon an upper surface of the formed not yet hardened concrete slab to smooth the upper surface. A roll size sensor is configured to detect a size of a roll of not yet hardened concrete created in front of the oscillating beam.

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 present invention relates to a compaction monitoring device and method that integrates 3D scanning and image perception. The device comprises a sensing component comprised of a 3D road surface texture scanning module, a camera, a vibration damping module, and a locator; a data analysis component, which performs image positioning, image stitching, time synchronization, and calculation of a compaction index based on texture features; and a control strategy component, which controls the number of compaction attempts based on the surface distribution of the compaction index. Compared to existing technologies, this invention introduces a new information source and evaluation basis for road compaction, enabling dynamic, real-time monitoring and feedback control of compaction levels, improving the quality of road construction projects and enabling compaction monitoring based on 3D scanning and image perception.

The invention relates to the technical field of road defect detection, in particular to a road defect detection method and system based on three-dimensional perception, and the method comprises the steps: synchronously collecting two-dimensional image data and three-dimensional point cloud data of a target road surface on a mobile carrier through an integrated detection system; fusing the position information of the GNSS integrated by the detection system and the attitude information of the inertial measurement unit, calculating the time sequence pose data of the detection system in the acquisition process, and generating a target pavement three-dimensional point cloud model with absolute space coordinates; and performing spatial registration on the two-dimensional image data and the three-dimensional point cloud model of the target pavement, and based on the fused two-dimensional and three-dimensional data, identifying and quantifying geometric and texture information of pavement diseases, and generating a disease distribution diagram containing disease positions, types and size parameters. According to the invention, through deep fusion of two-dimensional and three-dimensional data, accurate identification and quantification of pavement diseases are realized, and a CAD-format disease distribution diagram which can be directly delivered can be automatically generated.

The invention belongs to the technical field of pavement repairing, and discloses a material mixing and grouting integrated cement concrete pavement repairing device which comprises a frame, an adjusting assembly is arranged on the front face of the frame, a vibration assembly is arranged at the bottom of the adjusting assembly, and the vibration assembly comprises a fixing rod. According to the device, through cooperation of structures such as the vibration assembly and the supporting wheels, a knocking hammer of the vibration assembly is driven to knock a grouting area range in the moving process, mortar air injected into the device can be discharged through knocking vibration, and the device is convenient to use. According to the mortar filling device, mortar can permeate into gaps, filling uniformity is guaranteed, the vibration effect can be achieved through knocking, air of the mortar can be effectively emptied, meanwhile, the mortar can be prevented from overflowing, the flatness of the surface after the gaps are filled with the mortar can be guaranteed, and meanwhile grouting uniformity can be guaranteed.

The technical scheme provides a concrete vibrating device for road construction. The concrete vibrating device for road construction comprises a vibrating temper mill and a walking crawler belt, the control panel is arranged on a handrail on one side of the main frame; the vibrating temper mill is connected with the walking crawler belt through a suspension chain hook; a main machine frame is arranged in the vibration temper mill, walking trundles and walking sliding plates are arranged on the two sides of the lower portion of the main machine frame, a vibration rod through hole and an impeller shaft through hole are further formed in the main machine frame, a lifting support and a lifting plate are arranged above the vibration rod through hole, and a vibration mechanism is arranged on the lifting plate. A vibrating rod is arranged in the vibrating mechanism, and the vibrating rod is lifted and vibrated along the axis of a vibrating rod through hole through a lifting driving unit; the trowelling impeller is coupled in the impeller shaft through hole through an impeller shaft rod arranged at the upper part of the trowelling impeller; and the trowelling impeller rotates through the trowelling driving unit. The walking crawler belt drives the vibrating and leveling machine to walk, and the vibrating and leveling machine completes vibrating and leveling of a concrete pouring road surface; labor cost is reduced, and construction efficiency is 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.

A road construction machine in the form of a road paver or a feeder vehicle for conveying paving material to a road paver, the road construction machine being self-propelled and having a primary drive source, a hopper, at least one working unit and at least one electric consumer for heating the working unit, the road construction machine having an energy supply system with at least one electrical energy storage which can be charged by means of electric current generated outside the road construction machine and is present on the road construction machine as an internal power source for direct current supply to the electric consumer. Furthermore, the disclosure relates to the use of such an energy storage for direct current supply to an electric consumer of a road construction machine.

The invention discloses a road ballasting grouting device based on a ballasting plate-elastic piece combined structure and a construction technology thereof, the road ballasting grouting device comprises a grouting vehicle, grouting equipment and a ballasting structure, the grouting equipment and the ballasting structure are respectively arranged in front of and behind the grouting vehicle, and the whole device can be conveniently moved to a construction site; the ballasting structure comprises a translation mechanism, a hydraulic mechanism, a ballasting plate and an elastic piece, one end of the translation mechanism horizontally extends outwards to be connected with the ballasting plate and drives the ballasting plate to horizontally move, the elastic piece is arranged below the ballasting plate and is in direct contact with the road surface, and the ballasting plate-elastic piece structure is hung behind the grouting vehicle.

The invention belongs to the technical field of asphalt stirring, and discloses an asphalt stirring device based on road and bridge pothole filling, the asphalt stirring device comprises a base, a stirring and scraping mechanism is arranged above the base, the stirring and scraping mechanism comprises a mixing tank, asphalt is fully stirred through the stirring and scraping mechanism, and through a sleeve in the stirring and scraping mechanism, the stirring and scraping mechanism is driven to rotate; according to the double-shaft driving design of the rotating pipe, an efficient and synergistic stirring and scraping system is constructed, the inclined face of an arc-shaped scraping plate is attached to the inner wall of the mixing tank and matched with a wear-resistant ceramic coating, adhered asphalt is scraped in real time in the rotating process, meanwhile, the rotating pipe synchronously rotates, radial stirring is achieved through external stirring blades of the rotating pipe, and a spiral lifting piece pushes bottom asphalt to axially flow; by matching with the turbulent flow effect of the U-shaped heat conduction pipe, the asphalt forms a three-dimensional flow field in the tank, an auxiliary agent and the asphalt are fully fused, the problem of non-uniform mixing caused by traditional single-dimension stirring is solved, the stable performance of the asphalt is guaranteed, and a basic support is provided for crack resistance and water damage resistance after pavement filling.

The invention discloses a large-area concrete pouring vibrating and leveling device and a using method, and belongs to the field of concrete pouring construction. Comprising a walking and stabilizing system, accurate positioning is achieved through four-wheel independent driving, and a hydraulic supporting column and a sliding rail weight box cooperate to dynamically balance overturning moment; the multi-degree-of-freedom telescopic arm system drives an end effector to perform three-dimensional positioning through a multi-stage hydraulic telescopic sleeve and covers a large-area operation area; the intelligent vibrating-leveling execution system and the modularized vibrating system are adopted, eight groups of high-frequency vibrating rods are carried on a main / expansion plate, an ultrasonic sensor is embedded in a rod body protection cylinder to generate a compactness cloud picture in real time, and a hose is driven to integrate a strain sensor to invert the slump; the self-adaptive leveling system and the laser grid scanner construct a three-dimensional elevation model, and the hydraulic elevation regulator realizes + / -0.1 degree grade gradient control. According to the method, traditional layering limitation is broken through, efficiency is improved, porosity and flatness errors are reduced, and manual safety risks are thoroughly eliminated.

The invention discloses a multistage dynamic complex excitation solid waste roadbed filler treatment device and method, and relates to the technical field of solid waste resource utilization. The device comprises a pretreatment unit, a metering unit, a mixing unit and a control unit. The pretreatment unit is used for treating carbide slag, silica fume, excavated spoil and EPS particles, so that the problems that aggregates are not refined, oversized particles are not thoroughly removed, the EPS particles are not graded and the like are solved; in the material mixing unit, a first stirring shaft and a second stirring shaft are vertically distributed to form a three-dimensional shear flow field, and a material lifting device forms vertical convective circulation, so that the problem of non-uniform mixing caused by easy floating of EPS particles due to low density can be effectively solved; and the control unit realizes cooperative control of each unit. According to the device and the method, the mixing uniformity of the solid waste roadbed filler can be improved, the strength fluctuation is reduced, the quality requirement of engineering on the roadbed filler is met, and solid waste resource utilization is promoted.

The invention relates to the technical field of epoxy asphalt batching equipment, discloses an epoxy resin batching device for steel bridge deck pavement and an adding process thereof, solves the technical problems in the prior art, and comprises a storage tank, a metering and weighing system, a conveying system and a central control system, the storage tank comprises a first storage tank A and a second storage tank B; the metering and weighing system comprises a first metering pump a, a second metering pump b and a metering hopper; the conveying system is installed between the metering hopper and a mixing cylinder of a mixing plant and used for providing power to feed and add a mixture in the metering hopper into the mixing cylinder. The conveying system comprises a pneumatic control valve, a conveying pump, a gas-liquid mixer, an electromagnetic valve and a compressed air source. And the central control system is used for controlling the operation of the batching device and controlling the completion of the circulation control period. According to the technical scheme, the novel epoxy resin adding equipment is developed and used for circularly batching, the batching proportion is automatically formed, and the working efficiency is high.

The invention relates to a cement pavement microcrack homogenization treatment method and system, and relates to the technical field of pavement structure repairing, and the method comprises the following steps: collecting pavement image information; obtaining a crack pavement image based on the pavement image information and a preset crack feature; obtaining a pavement construction specification through the crack pavement image; collecting sound wave detection information corresponding to the crack pavement image; interval water injection is conducted according to the sound wave detection information and the preset detection flow to obtain a variable water level, and crack parameters are obtained in combination with the pavement construction specification, the detection flow and the variable water level; and reinforcement parameters and micro-crack parameters are obtained through the crack parameters, and the reinforcement parameters and the micro-crack parameters are uploaded and displayed. The method has the effect of prolonging the service life of the repaired pavement.

The invention discloses an intelligent maintenance system and method for a cement stabilized macadam base. The maintenance system comprises a monitoring module, an intelligent control module, maintenance equipment and a covering material, the monitoring module comprises a temperature and humidity sensor, a moisture evaporation sensor and an environment monitor; the intelligent control module comprises a data collector, a data processing unit and a controller; the maintenance equipment comprises a water tank, a water pump, pipelines and nozzles. The maintenance method adopts the maintenance system and further comprises the maintenance steps of data acquisition, data analysis and processing, maintenance decision and control and real-time monitoring and adjustment. The system has the beneficial effects that by monitoring the temperature, humidity, moisture evaporation rate and environmental parameters of the cement stabilized macadam base in real time and utilizing the data processing and control module to accurately calculate maintenance parameters, accurate maintenance of the base is achieved, uniform development of the strength of the base is ensured, generation of diseases such as cracks is effectively reduced, and the service life of a road is prolonged.

The invention relates to the technical field of road construction equipment, and discloses municipal road construction pavement leveling equipment based on a pressure adjustment leveling roller structure, the municipal road construction pavement leveling equipment comprises a support frame and a leveling mechanism mounted at the bottom of the support frame, and an auger roller is rotatably mounted at the bottom of the front end of the support frame; the supporting frame is provided with a material collecting mechanism for recycling concrete, a material supplementing mechanism and a second driving motor, and the bottom of the supporting frame is fixedly connected with a concave frame. Excessive concrete is collected towards the middle of the pavement through mutual cooperation of the auger roller, the material collecting mechanism and the material supplementing mechanism, the collected concrete is conveyed into the storage hopper to be collected, and the situation that the compaction degree of pavement flattening is inconsistent due to the fact that the concrete collected in the middle of the pavement is too much is avoided; and the opening and closing assembly can automatically fill the concrete stored in the storage hopper to the road surface according to the concave condition of the road surface, and the leveling effect on the road surface is improved.