1583 results about "Highway engineering" patented technology

The invention relates to the technical field of highway engineering informatization, in particular to a geometric registration method and system based on a BIM model and an AR real scene. The method comprises the following steps: obtaining multi-source data of a construction site, and generating an AR real scene of the construction site according to the multi-source data; fusing multi-source data to obtain accurate parameters of the construction equipment; calculating a spatial transformation matrix of a construction site through accurate parameters of construction equipment, and obtaining an initial registration result of the BIM model and the AR real scene by combining engineering characteristics and the spatial transformation matrix; a dynamic error compensation mechanism is introduced, the initial registration result is corrected through the dynamic error compensation mechanism, and a local registration result is obtained; and constructing a global and local coordinate system mapping optimization model, and mapping the local registration result to a global coordinate system by using the global and local coordinate system mapping optimization model to obtain a global registration result. According to the method, a reliable spatial data basis is provided for highway engineering quality inspection, construction guidance and defect identification.

The invention relates to the technical field of application of information technology in constructional engineering, and discloses a method for intelligently extracting engineering quantity application in highway engineering. The method comprises the following steps: standardizing an engineering scale in highway engineering design to form a standardized engineering scale; establishing a preliminary budget project reference template; establishing a connection relationship between the preliminary budget project reference template and the standardized engineering scale, wherein the connection relationship at least comprises a semantic correspondence relationship between project sections and engineering scale fields, a logic matching rule between quota subitems and engineering parameters, and a self-adaptive adjustment mechanism for table format differences; when a new engineering quantity table is imported, automatically identifying and analyzing a data field and a structure of the new engineering quantity table based on a connection relationship, mapping data in the new engineering quantity corresponding table to a corresponding project section and a quota sub-target of a preliminary budget project reference template through semantic analysis and a logic matching rule; and generating a budget file meeting the cost compilation requirement.

The invention provides a highway engineering quality detection method and system based on image recognition. The method comprises the following steps: acquiring a pavement image of a target highway; performing crack identification on the pavement image to obtain a crack boundary of each surface crack in the pavement image; determining spatio-temporal evolution characteristics of each surface crack; performing trend extrapolation on each surface crack based on all crack boundaries and the spatio-temporal evolution characteristics to obtain expansion confidence of each surface crack on each potential expansion point; and determining the risk level of each surface crack according to all the extension confidence coefficients, and outputting a crack risk assessment result of the target road. By adopting the scheme of the invention, the surface crack in the pavement image can be accurately positioned, and then the expansion speed and direction of the surface crack are dynamically tracked and the risk level is evaluated according to the characteristics of the surface crack, so that the safety of highway engineering is ensured.

The invention relates to the field of highway engineering safety monitoring, in particular to a highway slope stability image monitoring and risk early warning system which comprises an image acquisition module, a slope parameterization representation module, a multi-scale curvature flow analysis module, a Riemannian manifold learning module and a risk early warning module. Differential features are extracted by calculating a measurement tensor and a curvature tensor of the curved surface; constructing multi-scale representation of the slope curved surface by applying a curvature flow theory, and identifying deformation characteristics under different scales; according to the method, riemannian manifold learning and a geodesic convolutional network are utilized to extract advanced features, geological disaster precursors such as landslide, collapse and debris flow are accurately identified, the system has a self-adaptive monitoring frequency adjustment function, monitoring modes are automatically switched according to risk levels, the slope disaster risk is greatly reduced, and a powerful guarantee is provided for safe operation of roads.

The invention discloses a highway engineering road and bridge measurement method based on BIM, and belongs to the technical field of highway engineering measurement. According to the method, the problems that the modeling efficiency and accuracy are difficult to consider, the modeling precision of a non-important area is redundant and the like in the existing road and bridge measurement method for the highway engineering are solved. The method comprises the following steps: acquiring satellite positioning data by using a satellite positioning system in a measurement area, acquiring point cloud data by using laser scanning equipment, and acquiring road and bridge images by using image acquisition equipment; converting satellite positioning data into unified coordinate system data information, carrying out spatial registration on the unified coordinate system data information and the point cloud data, and dividing an important region and a non-important region; constructing a precise three-dimensional point cloud model for the important area, constructing a path point cloud model for the non-important area, and integrating road and bridge images; and finally fusing the model to obtain road and bridge parameters. The method can improve the model efficiency and reduce the model resource overhead while effectively improving the measurement precision, and is suitable for the measurement work of roads and bridges of highway engineering in various environments.

The invention provides a safety evaluation method and system for a road area environment in a highway engineering construction period. The method comprises the steps of obtaining multi-source sensing data of the road area environment in the highway engineering construction period; inputting the multi-source sensing data into a multi-scale time sensing coding module to obtain sequence features of a macro-scale satellite and a micro-scale unmanned aerial vehicle; the sequence features are input to a multi-modal fusion Transform module, and multi-scale fourth features are obtained; inputting the multi-scale fourth feature into a change detection module to obtain a change labeling graph and a first change event log; and based on the change labeling graph and the first change event log, constructing a risk early warning module to obtain a second change event log. Through multi-source data fusion of satellite remote sensing and unmanned aerial vehicle images, accurate perception and dynamic monitoring of the road area environment in the highway engineering construction period are realized, the accuracy and real-time response capability of environmental safety assessment are improved, and the method is suitable for the field of highway engineering construction and construction safety management.

The invention provides a highway engineering quality real-time monitoring method and system based on digital twinning, and the method comprises the steps: collecting construction data, and carrying out the preprocessing of the construction data, and obtaining a behavior time sequence and a coverage rate index sequence; constructing a behavior graph, performing quality prediction on each behavior segment node through a graph neural network to obtain a predicted quality score, and performing coverage rate index sequence correction to obtain an actual quality score; mapping the actual quality score to a spatial position to obtain a spatial quality tensor, wherein the spatial position is a three-dimensional position obtained by combining equipment position data and a compaction horizon number; performing structural consistency analysis on the spatial quality tensor, identifying and marking a topology abnormal region, and outputting a structural consistency scoring tensor; and generating a visual twin layer based on the spatial quality tensor and the structural consistency scoring tensor, and performing graph level labeling and section mapping on the abnormal region.

The invention relates to the technical field of construction progress collaborative management, in particular to a multi-source data driven construction progress intelligent collaborative control method and system. The method comprises the following steps: acquiring multi-source data of a construction site; dynamically fusing the multi-source data to obtain a three-dimensional construction map; constructing a construction plan planning model, and generating an optimal construction plan by using the construction plan planning model based on the three-dimensional construction map; and performing dynamic resource scheduling and allocation according to the optimal construction plan to obtain a resource allocation scheme. According to the method, the three-dimensional construction map is constructed by fusing the multi-source data, then the construction plan planning model is constructed to obtain the optimal construction plan, and finally resource allocation is performed based on the optimal construction plan, so that the problems of data islands, progress lag and response lag in traditional highway engineering construction are solved, and the construction efficiency and safety are remarkably improved.

The invention relates to the technical field of electric digital data processing, in particular to an AI-driven highway engineering full-cycle carbon emission optimization method and system, and the method comprises the steps: constructing a highway engineering full-cycle carbon emission digital twinborn model, integrating multi-source heterogeneous data, and constructing a highway engineering full-cycle carbon emission digital twinborn model; and real-time monitoring, accurate accounting, intelligent prediction and early warning and collaborative optimization of construction carbon emission are realized by applying an artificial intelligence technology, and a multi-dimensional carbon reduction path is generated. According to the method, the accounting boundary can be comprehensively defined, real-time monitoring and accurate accounting are realized, system-level intelligent collaborative optimization is provided, the carbon emission management level of highway engineering is remarkably improved, and near-zero carbon construction is promoted.

The invention discloses a low-grade highway construction quality intelligent detection method and system, and relates to the technical field of highway engineering detection, and the method comprises the steps: collecting an RGB image, converting the RGB image into a gray-scale map, and calculating a flatness feature value through a flatness feature fusion method; calculating a gap characteristic coefficient based on the flatness characteristic value, and calculating an edge disorder index by using an accumulation method; and evaluating a construction quality score based on the gap feature coefficient and the edge disorder index, and constructing a visual interface to display the construction quality score. The method comprises the following steps: collecting an RGB image, converting the RGB image into a grey-scale map, and calculating a flatness characteristic value by using a flatness characteristic fusion method; calculating a gap characteristic coefficient, and calculating an edge disorder index by using an accumulation method; the construction quality score is evaluated, the limitation of a single characteristic index is avoided, the efficiency and precision of pavement quality detection are improved, and the robustness and adaptability of detection are enhanced.

The invention belongs to the technical field of civil engineering materials, and particularly relates to a coal gangue-based solid waste cementing material as well as a preparation method and application thereof. The coal gangue-based solid waste cementing material is prepared from the following raw materials in percentage by mass: 60-80% of activated coal gangue powder, 5-20% of an exciting agent, 5-15% of superfine slag powder, 2-5% of silica fume, 1-3% of gypsum and 1-3% of fan blade short fibers. According to the invention, solid waste resources (coal gangue and superfine slag powder) are recycled, and on the basis of consumption of the solid waste resources, the coal gangue-based solid waste cementing material obtained by using the solid waste resources has good mechanical properties and durability, and can meet the use requirements of highway engineering base layers.

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 discloses high-viscosity and high-elasticity modified asphalt and a preparation method thereof, and belongs to the technical field of highway engineering. The high-viscosity and high-elasticity modified asphalt is prepared from the following raw materials in parts by weight: 100 parts of matrix asphalt, 4 to 5 parts of styrene-butadiene-styrene block copolymer, 1 to 2 parts of polypropylene particles, 1 to 2 parts of TMC modifier, 1.5 to 3 parts of compatilizer, 0.5 to 1.5 parts of amide wax, 0.3 to 0.5 part of nano montmorillonite, 0.5 to 1 part of flexibilizer and 0.1 to 0.2 part of stabilizer, wherein the TMC modifier is a mixture formed by mixing simethicone, amino silicon oil, lauryl phosphate and castor oil polyoxyethylene ether according to the mass ratio of 5: 3: 1: 1. The high-viscosity and high-elasticity modified asphalt provided by the invention is high in softening point, good in viscosity and elasticity recovery capability at 60 DEG C, good in water resistance, aging resistance, weather resistance and high-temperature stability, and small in kinematic viscosity at 170 DEG C. The high-viscosity and high-elasticity modified asphalt provided by the invention is good in construction workability, and is beneficial to prolonging the service life of an asphalt pavement.

The invention provides a bridge performance evaluation and life prediction method based on big data analysis, and relates to the technical field of bridge preventive maintenance in highway engineering, and the method comprises the steps: obtaining three-dimensional scanning data of an old bridge and a new bridge under a common service condition, and combining with complex service conditions such as dynamic load, temperature difference, creep shrinkage, etc. And the dynamic response of the connection part in an actual use environment can be accurately simulated and evaluated. Especially under the condition of common service of new and old bridges, the degradation and damage of the connection part are particularly significant, and by combining with a big data technology, the progress of material aging is tracked in real time, and possible hidden damage of the connection part is helped to be predicted. By constructing the aging factor, the damage index and the corrosion index and associating the aging factor, the damage index and the corrosion index with the connection coordination index graph, a specific rigidity loss factor can be provided for each connection unit, the performance degradation degree of the bridge connection part is reflected, and a scientific basis is provided for subsequent reinforcement and maintenance strategies.

The utility model relates to the technical field of highway engineering, and provides thickness detection equipment for highway engineering, which comprises a base and a controller, the top of the base is provided with an adjusting mechanism, the output end of the adjusting mechanism is provided with a detection sampling mechanism, and the top of the base is provided with a sampling hole. The horizontal angle of the base is detected through the tilt angle sensor, if the base is not in a horizontal state, a signal is fed back to the controller, the controller controls the motors one by one to drive the second gears to rotate, the second gears drive the first gears meshed with the second gears to rotate, and therefore the screws are driven to rotate, and the screws are matched with the screw sleeves to drive the supporting blocks to move downwards or ascend. Therefore, the effect of automatically leveling the base is achieved, and the effect and efficiency of road thickness detection are effectively improved.

The invention relates to the technical field of highway engineering, in particular to pavement crack repairing equipment which comprises a vehicle body, a stirring tank, a moving assembly, a cleaning assembly and a vibration assembly. Wheels are arranged at the bottom of the vehicle body, a push rod is fixedly connected to one side of the vehicle body, and an image sensor is arranged at the end, away from the push rod, of the vehicle body; a bottom opening of the stirring tank penetrates through the vehicle body and extends to the bottom of the vehicle body, the bottom opening of the stirring tank is communicated with a hose, the moving assembly is arranged at the bottom of the vehicle body corresponding to the bottom opening of the stirring tank, and the top of the moving assembly is fixedly connected with the bottom of the vehicle body; the cleaning assembly is arranged at the end, close to the image sensor, of the bottom of the vehicle body, the top mounting end of the cleaning assembly is fixedly connected with the bottom wall of the vehicle body, the vibration assembly is arranged at the end, close to the push rod, of the bottom of the vehicle body, and the top mounting end of the vibration assembly is fixedly connected with the bottom wall of the vehicle body.

The invention relates to the technical field of highway engineering, and discloses an environment-friendly dust falling device for highway engineering construction, which comprises a vehicle body, a box body is fixedly connected to the top of the vehicle body, a lifting plate is arranged above the box body, and a dust falling mechanism is arranged on the box body. The dust falling mechanism comprises a water tank, a submersible pump, a folding pipe, a hollow pipe, a first motor, a connecting pipe, a three-way pipe and an atomizing nozzle, the water tank is fixedly connected to the top of the inner wall of the box body, and the submersible pump is arranged at the bottom of the inner wall of the water tank. An electromagnet can be driven to move according to the wind direction of a construction site by arranging a wind indicator, an atomizing nozzle can be driven to rotate according to the wind direction of the site by arranging a first motor, a hollow pipe, a rotating disc, a clamping base, the electromagnet, a spring and a magnet block, the atomizing nozzle is opposite to the wind direction, and therefore water mist sprayed by the atomizing nozzle can make better contact with dust; therefore, the dust falling effect of the construction site is improved.

The invention discloses a highway engineering construction remote material abnormity management method, which relates to the technical field of material management, and comprises the following steps: collecting material information parameters for analysis, obtaining an analysis result and carrying out abnormity identification, outputting an abnormity identification result, triggering a response mechanism for the abnormity identification result, and carrying out automatic early warning. By constructing a full-process digital highway engineering construction remote material anomaly management system, the problems of multiple types of traditional management are solved, multi-source data are integrated to automatically correct errors and generate accurate data, and the material anomaly management system is established by means of space-time dimension cross validation and construction process compliance analysis. A preset abnormal feature combination library is combined to capture a composite risk, a hierarchical response and a mapping table are adopted to realize differential early warning, responsibility is clarified through receiving verification and block chain evidence storage, and a closed loop is formed by combining treatment with template optimization and dual verification, so that the risk is reduced, and the management intelligence and refinement level is improved.

The utility model belongs to the technical field of highway engineering construction, and discloses an auxiliary material machine which comprises a lifting device used for preliminarily lifting gravel after the gravel is screened, and further comprises a feeding device installed on one side of the lifting device, used for secondary conveying and capable of rotating to increase the feeding height. One end, far away from the lifting device, of the feeding device is provided with a guide device which is used for guiding the sliding gravel and can rotatably adjust the guide angle; the feeding device comprises a rotating frame, two rotating bases are symmetrically arranged on the top of the rotating frame in the front-back direction, a second conveying frame is installed between the two rotating bases, and a second conveying belt is installed on the second conveying frame. According to the auxiliary material machine, through the arrangement that the feeding height is increased through rotation, feeding at different heights is met; through the arrangement of secondary conveying, the conveying distance is increased; and the guide angle is adjusted through rotation, so that feeding at different heights can be better adapted.

The invention belongs to the technical field of highway pavement roughness detection, particularly relates to an automatic highway engineering quality detection device and a detection method thereof, and aims to solve the problems that in the prior art, only linear detection can be carried out, pavement sundries affect the detection precision, and detection wheel abrasion affects the accuracy of a detection result. A plurality of moving wheels are fixed to the bottom of the moving frame through supporting legs. The road flatness detection device further comprises a lifting plate arranged above the moving frame, the bottom of the lifting plate is slidably connected with a moving arm, the bottom end of the moving arm extends to the lower portion of the moving frame and is welded with a connecting frame, and during road flatness detection, the universal wheels can move along an S-shaped line, detection points are increased, and the detection accuracy is improved. The cleaning brush disc can be driven to remove sundries on a road where the universal wheels move forwards when the universal wheels move back and forth, the detection accuracy is guaranteed, in addition, after the universal wheels are abraded, the universal wheels can be replaced in time, and the situation that road flatness detection is affected by abrasion of the universal wheels is avoided.

The invention discloses a road culvert inner wall damage image detection and traffic capacity evaluation method and system, and relates to the technical field of road engineering detection and computer vision, and the method comprises the steps: collecting multi-source data through an annular camera, a laser section scanner and a mileage encoder carried by a detection robot, and carrying out the panoramic expansion and time-space registration; using a multi-scale attention panoramic segmentation network to identify damages such as lining cracks, joint slab staggering, damage and chipping, steel bar exposure and water leakage; calculating the clearance size and the deposition thickness of the culvert by adopting an ellipse fitting method; according to the method, the culvert detection speed reaches 50 m / h, and the damage detection accuracy reaches 89% or above.

The invention provides a mobile highway engineering quality detection device and method, and belongs to the technical field of highway quality detection.The mobile highway engineering quality detection device comprises a walking support, detection rollers, a cleaning assembly, a driving assembly, an elastic supporting assembly and an alarm assembly; the detection rolling wheel is arranged below the walking support, the elastic supporting assembly is installed on the bottom wall of the walking support and used for providing elastic supporting for the detection rolling wheel, so that the detection rolling wheel can move up and down when rolling to the convex and concave positions of the road surface, and the alarm assembly is installed on the side wall of the walking support. Compared with the prior art, when the detection roller rolls along the road surface to detect the flatness of the road surface, gravel sundries on the road surface on the front side of the detection roller can be cleaned, so that the detection roller is prevented from acting on the gravel sundries, and the accuracy of a detection result is improved.

The invention discloses a highway engineering frozen soil moisture migration detection device, and belongs to the technical field of frozen soil moisture migration research, the highway engineering frozen soil moisture migration detection device comprises an experiment box formed by two detachably spliced thermal insulation frames; the assembling sleeve is fixed in the middle of the experiment box and used for connecting and assembling the two heat preservation frames of the experiment box; the temperature control units are horizontally arranged in the storage spaces, and the ends of the temperature control units are connected with the assembling sleeve in a sealed mode; the center of the inner cover net is fixed in the assembling sleeve; the liquid feeding systems are symmetrically arranged at the two ends of the exterior of the experiment box, and all the liquid feeding systems are in sealed communication with the temperature control unit; the water replenishing device is mounted on the side wall of each temperature control unit; a nuclear magnetic resonance detector is arranged outside the experiment box; according to the invention, it can be ensured that a roadbed soil body forms a temperature gradient in the axial direction during moisture migration detection, so that the temperature of each position is controlled more accurately, and the controllability and accuracy of an experiment are improved.

The utility model relates to the field of asphalt paving machines, and discloses a multifunctional asphalt paving machine for highway engineering, which comprises a mounting seat, two wheels are symmetrically and fixedly connected to the bottom of the mounting seat, two support frames are symmetrically and rotatably connected to the top of the mounting seat, and electric telescopic rods are fixedly connected to the bottoms of the support frames. The telescopic end of the electric telescopic rod is fixedly connected with a circular plate, the outer wall of the circular plate is fixedly connected with a rectangular plate, two arc-shaped holes are symmetrically formed in the top of the circular plate, a straight groove hole is formed in one side of the rectangular plate in a penetrating mode, and two connecting frames are connected to the top of the mounting base in a clamped mode. The asphalt cleaning device is easy to use and can be suitable for installation of various vehicles through the straight slotted holes and the arc-shaped holes in the circular plate and the rectangular plate, when the push plate does not make contact with the ground, the electric telescopic rod can be pulled to drive the push plate to descend to make contact, and after the motor is started, the scraper can be driven to move in a reciprocating mode to scrape away asphalt adhering to the push plate for cleaning.

The invention discloses a digitized collaborative management and control platform and method for a highway roadbed slope, and belongs to the field of highway engineering. The method comprises the steps that a three-dimensional geological information model of the highway roadbed slope is constructed; sensing and fusing multi-source heterogeneous data; intelligent analysis and early warning are realized; co-processing and closed-loop management; optimization and self-learning of a machine learning algorithm model; and visualizing the slope of the whole highway. According to the invention, through the AI algorithm, the conversion from manual interpretation to intelligent prediction is realized, the early warning time is advanced, and passive response is changed into active prevention and control. According to the invention, information sharing and business collaboration are realized through process driving, and the emergency disposal efficiency is greatly improved. Visual and scientific decision support is provided for slope state evaluation and treatment scheme making based on the digital twinborn model and the multi-source fusion data, and dependence on human experience is reduced. According to the invention, a complete slope electronic health record is established, a data basis is provided for long-term performance evaluation and maintenance planning of the slope, and full-life-cycle management of assets is realized.

The invention discloses a lightweight method and system for a highway engineering three-dimensional live-action model and a medium, and relates to the technical field of three-dimensional live-action modeling. The method comprises the following steps: firstly, carrying out engineering semantic segmentation on an input three-dimensional grid model, and extracting design parameters in a BIM / GIS (Basic Information Model / Geographic Information System); then, constructing a multi-level constraint model fusing semantic constraints, engineering precision constraints and design parameter constraints; and finally, carrying out iterative simplification under the guidance and limitation of the multi-level constraint model by adopting an improved quadratic error measurement algorithm. The method solves the problems of semantic information loss, out-of-control local precision and disjunction with design intention when a traditional pure geometric simplification method is applied to highway engineering, and can intelligently reserve key engineering characteristics, control geometric errors and fit a design form while ensuring that the data size of the model is greatly reduced. And a high-quality lightweight model suitable for professional analysis and application is generated.

The invention relates to the technical field of unmanned aerial vehicle application and highway engineering monitoring, in particular to a highway slope engineering inspection unmanned aerial vehicle which comprises a multi-rotor aircraft provided with a flight controller, the bottom of the multi-rotor aircraft is connected with a first holder, a plurality of supporting legs are arranged on the periphery of the first holder, and a second holder is arranged at the bottom of the first holder. An equipment tray is arranged at the bottom of the second holder; the laser projector is fixed at the bottom of the equipment tray and is used for projecting a reference image; the marking gun is fixed at the bottom of the equipment tray and is used for emitting marking paintballs; the high-definition camera is fixed to the bottom of the equipment tray and located between the laser projector and the marking gun. Optical axes of the high-definition camera and the laser projector are parallel to each other and are consistent with the emission direction of the marking gun; through multi-module collaborative operation, the slope inspection efficiency and precision are remarkably improved, and the system is particularly suitable for high-precision and automatic slope disease detection and safety evaluation under complex terrain conditions.

The invention discloses an intelligent road settlement monitoring method, and belongs to the technical field of road engineering. Sensors are arranged along a to-be-monitored road section, data collected by the sensors are transmitted to an Internet of Things platform for preprocessing and settlement prediction, the Internet of Things platform deploys a combined model based on two different roadbed settlement prediction models, the preprocessed monitoring data are predicted through the combined model, settlement prediction data are obtained, and the settlement prediction data are subjected to settlement prediction. And intelligent road settlement monitoring is realized. According to the method, an alarm can be given for abnormal states and data in the settlement process based on the obtained settlement prediction data according to needs. According to the invention, the technologies of Internet of Things, artificial intelligence and the like are applied to project engineering, so that the safe operation of engineering project work is ensured to a certain extent, and the safety prevention and control capability of the engineering project is improved.

The utility model discloses a concrete curing device convenient for highway engineering construction, which relates to the technical field of highway engineering, is suitable for concrete curing during highway engineering construction, and comprises a movable base, the water storage tank is arranged on the upper surface of the movable base; the water spraying unit is arranged on the outer surface of the movable base; the maintenance unit is arranged on the side face of the movable base and used for maintenance, and the water storage tank comprises a control assembly arranged on the outer surface of the movable base and a spraying assembly arranged on the outer surface of the movable base. According to the concrete curing device, the distribution box, the control valve, the connecting pipe and the first atomizing nozzle are matched with one another, so that the surface of concrete can be conveniently cured, and the functionality of the concrete curing device is improved; and through mutual cooperation of a mounting clamping base, an overturning plate, a water outlet pipe, a second atomizing spray head, a limiting column, a lifting plate, a spring, a clamping column, a limiting plate and a fixing bolt, the surface of concrete can be conveniently maintained in an auxiliary mode according to requirements.

The present invention relates to the technical field of pavement materials, and particularly relates to a high-performance asphalt concrete pavement material and a preparation method thereof. The formula of the pavement material includes asphalt, high melt index SBS, fine aggregate, coarse aggregate, fly ash, water reducer, low-temperature anti-cracking agent and anti-freezing agent. Among them, the preparation method of the low-temperature anti-cracking agent includes stirring and melt spinning of homopolypropylene, nano-silicon carbide and low melt index SBS to obtain the low-temperature anti-cracking agent. By optimizing the ratio and adding specific components, the material has good low-temperature anti-cracking performance, anti-freezing performance and anti-stripping performance. The high-performance asphalt concrete pavement material provided by the present invention is expected to be applied to highway engineering and road construction fields in low-temperature regions.