2630 results about "Road construction" patented technology

The invention relates to the technical field of road safety, in particular to a road construction safety self-adaptive warning broadcast system and method, and the method comprises the steps: collecting environment parameters of a construction region in real time; detecting dynamic traffic parameters of vehicles around the construction area; tracking a real-time position and a movement track of the construction machinery, and monitoring a safe area border crossing behavior of a constructor; predicting a dynamic risk level in the construction area based on the environmental parameters, the dynamic traffic parameters, the construction machinery motion trail and the personnel border crossing state, and generating a grading response strategy; and outputting a self-adaptive warning signal according to the grading response strategy. According to the method, the problems that a traditional early warning model depends on one-dimensional parameters, the static threshold misjudgment rate is high and the response delay is large are effectively solved, and accurate quantification and real-time early warning of the construction machinery and vehicle conflict risk are achieved through multi-source data fusion and dynamic probability calculation.

The invention relates to the technical field of municipal road construction, and discloses a municipal road construction section scheduling optimization method and system based on artificial intelligence, and the method comprises the steps: collecting the multi-source dynamic data of a construction region through Internet of Things equipment and a satellite remote sensing technology, and constructing a time sequence database; a multi-objective optimization model is established, and an initial scheduling scheme is generated by adopting a non-dominated sorting genetic algorithm with the goal of minimizing construction period, resource waste and traffic jam influence. Dynamically adjusting the priority of the construction section by using a reinforcement learning algorithm, and updating a construction task sequence; a graph neural network is utilized to detect space-time conflicts of construction sections, and conflict-free scheduling constraint conditions are generated; and optimizing resource allocation based on mixed integer linear programming, simulating a construction process in combination with a digital twinborn technology, correcting a construction progress deviation by using a Kalman filtering algorithm, and outputting a final scheduling instruction. According to the invention, optimization of municipal road construction section scheduling is realized, the construction period is effectively shortened, resource waste is reduced, and traffic jam is relieved.

The invention relates to the technical field of road construction quality control, in particular to an asphalt mixing station intelligent monitoring method and system based on Internet of Things data, and aims to solve the problems that in the prior art, technological parameters of an asphalt mixing station cannot be dynamically optimized, state vectors cannot be structured and defined as action spaces, and the working efficiency of the asphalt mixing station cannot be improved. The stability and convergence efficiency of strategy updating cannot be ensured, and long-term optimal control cannot be realized; the state and action space is constructed through the reinforcement learning strategy construction module, the multi-target reward function is combined, the reinforcement learning model is trained through the PPO algorithm, dynamic optimization of the technological parameters of the asphalt mixing station is achieved, the environment perception and regulation and control capacity of the model is enhanced through the structured state and the executable action, and the dynamic optimization of the technological parameters of the asphalt mixing station is achieved. The weighted reward mechanism overall plans quality, energy consumption and stability, and the PPO algorithm ensures efficient and stable training and supports long-term optimal control.

The invention discloses a construction monitoring system for a municipal asphalt road, relates to the technical field of road construction, and optimizes the road construction process through four modules of whole-process data acquisition, edge analysis and decision, dynamic quality detection and dynamic feedback control. And collecting data of each construction stage in real time. Real-time analysis is carried out through a BP multi-target decision network, the construction process is adjusted, quality detection is carried out on the surface layer and the deep layer of a road through a lightweight detection model, and defect marking and thermodynamic diagram display are carried out through a BIM platform. And on the basis of analysis and detection results, a fuzzy PID algorithm and a near-end strategy optimization algorithm are adopted, construction parameters are adjusted in real time, and construction quality and efficiency optimization are ensured. The problems that an existing sampling detection method is difficult to comprehensively cover a construction area, the quality problems of different levels cannot be visually displayed, and timely processing of constructors is affected are solved, and comprehensive monitoring, real-time analysis and intelligent adjustment of the road construction process can be achieved.

The invention relates to the technical field of carbon emission accounting, in particular to a road engineering carbon emission analysis method based on multi-source heterogeneous data fusion. The method comprises the following steps: collecting carbon emission factor multi-source heterogeneous data; performing multi-source heterogeneous data anomaly identification and correction processing on the carbon emission factor multi-source heterogeneous data to generate carbon emission factor multi-source heterogeneous standard data; performing carbon emission factor cross-modal global connection fusion processing on the carbon emission factor multi-source heterogeneous standard data to generate carbon emission factor global fusion feature data; establishing an optimization relation model of actual working condition carbon emission accounting based on the carbon emission factor global fusion feature data, and generating an optimization carbon emission accounting relation model; and performing carbon emission intelligent accounting operation on the road construction project based on the optimized carbon emission accounting relation model. According to the method, the accurate accounting of the carbon emission of the road engineering is realized by carrying out fusion analysis on the multi-source heterogeneous data.

The invention relates to the technical field of construction stage management, in particular to a BIM-based road construction digital management system, which comprises a component parameter acquisition module, a process topology construction module, a state trigger mapping module, a logic conflict judgment module and a scheduling path adjustment module. According to the method, through continuous collection and analysis of the component state, dynamic monitoring of the connection state, geometric intersection and contact time is achieved, the construction change sensing capacity is improved, the dependency relationship is constructed in combination with component space adjacency and time overlapping, the dispatching path and field matching degree is enhanced, and through linkage updating of the component state and model attributes, the construction efficiency is improved. According to the method, the execution state is visual and controllable, scheduling reconstruction is carried out after time dependence conflicts are recognized, synchronous updating of model views is completed, a closed-loop dynamic scheduling mechanism is formed, the task allocation accuracy, the flow connection efficiency and the field scheduling response capability are integrally improved, and the real-time performance and the intelligent level of construction management are enhanced.

The invention is suitable for the technical field of road construction, and provides a roadbed settlement safety monitoring method and system, and the method comprises the steps: obtaining measurement equipment, and obtaining equipment information according to the equipment; obtaining basic information according to the measurement equipment information, obtaining a confidence scoring function according to the basic information, and fusing the equipment measurement results according to the fusion weight coefficient to obtain a fusion result; constructing settlement time sequence data according to a fusion result, constructing an anomaly detection model by combining key change characteristics, if the settlement rate is judged to continuously exceed a set threshold value, performing early warning prompt, and marking the stage as a potential mutation interval; and according to the risk label, a cause tracing suggestion is provided, and according to the identified settlement trend state and the risk level, the scheme of each monitoring point is adjusted, so that the problem that the roadbed settlement process cannot be detected in time in the existing roadbed settlement detection process is solved. And when the settlement exceeds a threshold value, timely discovery and processing cannot be carried out.

The invention relates to the technical field of municipal construction quality tracking, in particular to a municipal road construction quality tracking monitoring management platform. The system comprises a road surface data monitoring unit, and the road surface data monitoring unit monitors road surface basic data based on a sensor monitoring module; the construction monitoring unit is used for monitoring the asphalt penetration, the operation track of the construction machinery and the vibration frequency of the construction machinery; performing multi-source data fusion on the monitored data based on a multi-source fusion algorithm; constructing a comprehensive risk scoring model based on the fused comprehensive features; and the road risk early warning unit analyzes the road construction quality and performs risk early warning through a multi-modal road analysis model based on the road surface basic data, the asphalt penetration and the mechanical parameters monitored by the construction monitoring unit in real time. A crack-construction-environment dynamic correlation model is constructed, the dynamic interaction strength of crack characteristics and construction parameters is calculated through a cross attention mechanism, and a high-risk area is accurately positioned.

The invention relates to the technical field of big data monitoring, in particular to a highway environmental protection construction monitoring method and system based on big data, and the method comprises the following steps: calculating the spatial distance between sensors based on the geographic position information of a data collection point and the raised dust concentration distribution and particulate matter monitoring value of a road construction environment, and calculating the spatial distance between sensors; and connecting sensor nodes with a direct adjacency relation through difference calculation and normalization processing. According to the invention, through probability density calculation and time sequence analysis, abnormal edge screening, abnormal change detection precision improvement, misjudgment reduction, abnormal edge connection node position and space density calculation, high-density area and cluster center determination, accurate positioning of pollution points is realized, and the method is suitable for the real-time monitoring of the pollution points in combination with monitoring data change trend and diffusion path tracing. The method comprises the following steps: reconstructing a pollution diffusion chain, determining a pollution propagation range, optimizing pollution treatment, accurately identifying a pollution source through weight association degree and gradient analysis between path nodes, reducing monitoring blind areas, and providing comprehensive support for construction monitoring.

The invention provides a road construction carbon emission monitoring method, which belongs to the technical field of electric digital data processing, and comprises the following steps: establishing a monitoring network through a multi-source sensor, collecting equipment operation, material consumption and construction activity data by using an Internet of Things terminal, and calculating carbon emission in combination with a carbon emission factor database to form a fingerprint spectrum. Edge calculation is adopted to carry out time sequence analysis to recognize abnormal points, a neural unit jump algorithm and a multi-head attention architecture are applied to carry out fine adjustment on a pre-training model, and a jump threshold value is calculated through a specific function. And introducing a distributed gradient descent optimization equation to integrate data of multiple construction sites to protect privacy, and generating a monitoring report including total carbon emission, intensity and emission reduction suggestions. And by adaptively adjusting the monitoring time interval, the carbon emission monitoring precision and efficiency are improved. The pre-training model adopts a multi-layer time convolutional network structure, and the adaptability to a specific construction scene is improved through unsupervised pre-training and supervised fine tuning.

The invention discloses a regional highway road network habitat quality evaluation method and system, and aims to construct a habitat feature library reflecting habitat spatial features and a biological utilization mode by integrating remote sensing image data and biological activity trajectory data. Identifying an ecological fault zone caused by road network cutting by adopting a space fracture analysis technology, quantifying the barrier strength of the road and determining an influence range; analyzing and extracting a key migration gallery by using a species migration network, and evaluating a landscape connectivity condition; a restoring force loss area is identified through ecological restoring force evaluation, and the habitat degradation dynamic state is revealed in combination with time sequence analysis; establishing a multi-scale space evaluation system, and fusing the quality grading sequence and gallery optimization information to generate a habitat quality evaluation matrix; and finally, a complete habitat quality grading scheme is formed through spatial interpolation and natural breakpoint grading, comprehensive evaluation of the habitat quality of the regional highway network is realized, and a scientific basis is provided for ecological protection planning and road construction decision making.

The invention belongs to the technical field of asphalt mixtures, and relates to a high-dosage RAP low-temperature hot mix plant recycled SMA-13 asphalt mixture and a preparation process thereof, and the low-temperature hot mix plant recycled SMA-13 asphalt mixture comprises the following components by weight: 50-60 parts of an asphalt mixture reclaimed material; 30-40 parts of modified steel slag aggregate; 3-5 parts of SBS modified asphalt; 0.02 to 0.06 part of a low-temperature asphalt modifier; 3-8 parts of superfine slag powder; 0.2 to 0.5 part of lignin fiber; and 1-2 parts of a self-made asphalt regenerant. The limitation of the traditional RAP doping amount is broken through, the highest doping amount reaches 70%, the steel slag recycled aggregate replaces natural aggregate, the consumption of raw materials and the emission of waste are remarkably reduced, and the steel slag recycled aggregate meets the target requirements of the new era of dual-carbon strategy and sustainable development; and the method is particularly suitable for winter construction, heavy traffic roads and green road construction in iron and steel industry areas, and has technical advancement and engineering practicability.

The invention relates to the technical field of road construction, discloses a highway slope dynamic monitoring and early warning method and system, and aims to solve the ubiquitous problems of single monitoring information, lagging evaluation means, rigid early warning mechanism, disjunction of a response system and the like in the prior art. According to the invention, by integrating multi-source sensing data and introducing a deep learning analysis model, a dynamic early warning and grading response system is constructed, and intelligent, systematized and closed-loop management of slope monitoring is realized. According to the overall scheme, the accuracy of risk identification and the timeliness of response are remarkably improved, and the expandability and the field adaptability of the system are enhanced. Finally, the comprehensive effects of improving the slope disaster prevention efficiency, guaranteeing the highway operation safety and reducing potential personnel and property losses are achieved.

The invention relates to the technical field of wind power road geological analysis, in particular to a three-dimensional geological modeling and section visualization method and system for wind power road construction. The method comprises the following steps: establishing a geological drilling data matrix through geological drilling data; extracting geological attribute data through lithology analysis, calibrating the relationship of each stratum through sequence analysis, constructing a standardized geological drilling data set, constructing a spatial continuous geological attribute scalar value distribution model through a Gaussian process interpolation algorithm, and constructing an implicit function by taking the geological attribute scalar value distribution model as the implicit function. And generating a three-dimensional geologic model through a contour surface extraction algorithm, carrying out geologic attribute scalar value extraction on the three-dimensional geologic model based on the road route data, generating wind power road profile data, and visualizing a data result. An efficient and low-cost solution is provided for geological judgment and optimization in wind power plant road design, the requirements for accuracy and high efficiency of engineering projects are met, and reliable guarantee is provided for wind power road construction.

The invention discloses a method for predicting the service life of a road surface based on road construction indentation distribution, and belongs to the technical field of road data processing, and the method comprises the steps: obtaining three-dimensional point cloud data of the surface of the road surface, separating an indentation region from the three-dimensional point cloud data, and generating a first data set; acquiring image data from the first data set, and generating a second feature set containing indentation boundary data; calculating a point cloud height difference according to the height data of the first data set to obtain a third feature set containing depth feature data; inputting a current second feature set containing indentation boundary information and a third feature set containing depth features into a fourth prediction model, and outputting a material hardness prediction value; and calculating a pavement life prediction value according to the material hardness prediction value and the road load data. The method for predicting the road surface service life based on the road construction indentation distribution solves the problem that a traditional method is difficult to accurately evaluate the road surface indentation condition and predict the service life.

The invention discloses a CFD (computational fluid dynamics) simulation-based road construction environmental emission calculation method, and particularly relates to the technical field of environmental engineering and numerical simulation. The method comprises the following steps: establishing a three-dimensional physical model of a road construction environment emission system and determining a flow field computational domain; performing grid division on the three-dimensional physical model in a flow field calculation domain and establishing a grid structure internal association relationship; applying a mass conservation equation set, a momentum conservation equation set and an energy conservation equation set to the simulation model, and constructing a control equation system in combination with the turbulence model and the gas-solid two-phase flow model; setting boundary conditions such as an inlet, an outlet and a wall surface, and constructing an environmental emission simulation calculation model; actual data such as airflow velocity, temperature and particulate matter concentration of a road construction site emission source are collected and input into a simulation model for simulation calculation, a simulation result is compared with actually measured data through a relative error method, model verification is completed, and visual modeling and quantitative measurement and calculation of the road construction environment emission process are achieved.

The present application relates to the technical field of road construction, and particularly relates to a road paving positioning device and a road paving method. The road paving positioning device includes: a first cross plate; a second cross plate located below the first cross plate; an anchor rod for fixing the second cross plate to the ground; a first vertical plate fixed to one side of the first cross plate; and at least two adjusting mechanisms spaced along the length direction of the second cross plate. The adjusting mechanism includes: an external thread sleeve with one end connected to the second cross plate and the other end extending towards the first cross plate; a guide post with one end connected to the first cross plate and the other end extending towards the second cross plate. The other end of the guide post is slidably connected to the external thread sleeve along the axial direction and is mutually limited with the other end of the external thread sleeve; a reset elastic member provided between the guide post and the second cross plate; and an internal thread sleeve with one end rotatably connected to the second cross plate along the circumferential direction and the other end threadedly connected to the outside of the external thread sleeve. The present application has the effect of being convenient for adjustment and use.

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 pavement materials, in particular to a solid waste-based cementing material stable coal-based solid waste road base material and a preparation method thereof. According to the material, secondary modified regenerated coarse and fine aggregate is used as a framework, coal gangue powder and granulated blast furnace slag micro powder are matched, and two-step engineering of dopamine / double-amino-terminated polyethylene glycol co-deposition grafting and high-modulus silicate pre-coating is adopted, so that the synergistic improvement of the surface wettability and the interface density of the aggregate is realized. The system is cooperated with low-modulus excitation liquid and polypropylene fibers, and the mixing uniformity of the material and the quality of an interface transition area are optimized through a thin-pulp stone-wrapping and densification segmentation process. The material gives consideration to high resilience modulus, rut resistance and durability, significantly reduces the problems of high water absorption, weak interface, early cracks and the like of the recycled aggregate, is adaptive to a traditional road construction window, and has good application prospects.

The invention provides a three-order angular distance extraction-based emulsified asphalt polymer distribution uniformity evaluation method, which comprises the following steps of: acquiring a fluorescent microphotograph of an emulsified asphalt polymer modified sample, carrying out RGB three-channel separation, constructing a joint probability matrix with a gray vector on polar coordinates, and simultaneously carrying out normalization processing; and further calculating a first-order angular moment, a second-order angular moment and a third-order angular moment of the fluorescent microscopic image of the emulsified asphalt polymer modified sample according to the joint probability matrix of the gray vector, and evaluating the distribution uniformity of the polymer in the emulsified asphalt matrix. The method can accurately quantify the distribution uniformity of the polymer in the emulsified asphalt, is small in test sampling amount and high in test speed, can be widely applied to quality detection of the emulsified asphalt in road engineering construction and maintenance, and provides an effective technical means for improving the modification effect of the polymer of the emulsified asphalt and guiding optimization of a preparation process of the emulsified asphalt.

The invention discloses an intelligent scheduling method and system for road construction, and relates to the technical field of intelligent scheduling, and the method comprises the following steps: analyzing to obtain a road construction knowledge spectrogram and first scheduling data, and compensating the first scheduling data; according to the method, the historical construction data is analyzed, the road construction knowledge graph is constructed, the construction process, resource investment and construction period arrangement can be dynamically adjusted according to the real-time change of weather by introducing the real-time meteorological data for the complex association among scattered experience, rules, cases and entities, and the dynamic adjustment is realized through meteorological compensation, so that the construction efficiency is improved. Non-productive consumption such as mechanical idling and staff waiting caused by bad weather can be reduced, experience reuse and scientific decision are realized by constructing a road construction knowledge graph, environmental changes are coped with through dynamic compensation of meteorological data, and intelligence, refinement and high efficiency of construction scheduling are finally realized through the synergistic effect of the two.

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 modified asphalt and a preparation process thereof, and belongs to the technical field of road materials. The modified asphalt is prepared from 80-90 parts of matrix asphalt, 4-8 parts of butadiene styrene rubber, 2-5 parts of nano montmorillonite, 1.5-3 parts of core-shell structure nanoparticles (the core is SiO2 grafted with-SO3H, the middle layer is thermo-sensitive PNIPAM containing a photoinitiator, and the shell is GO grafted with a hindered phenol antioxidant group and a photosensitive coumarin group), 1-3 parts of a compatilizer, 3-6 parts of a plasticizer and 0.3-0.8 part of an antioxidant. The preparation process comprises the following steps: pretreating the modifier master batch, performing melt blending, performing high-speed shearing, performing ultrasonic dispersion, cooling, discharging and the like. The light response crosslinking mechanism is utilized, crosslinking is achieved under illumination through the light response characteristic of the core-shell structure nanoparticles, the high-temperature stability, the anti-aging performance and the fatigue life of the modified asphalt are remarkably improved, and the modified asphalt is suitable for the fields of high-grade road construction and the like.

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.

A resin-based barrier comprises a body having a skin of fiber-reinforced resin. The body includes a top, a bottom, a front end, and a back end. A vertical shear web runs between the top and the bottom and is substantially perpendicular to the top and the bottom. Moreover, spaces between the vertical webbing and between the longitudinal webbing are filled with a high-density closed-cell foam. The barrier may be used as a temporary traffic barrier during road construction.

The invention discloses a big data-driven road construction safety risk identification method, and relates to the technical field of industrial data mining and analysis, and the method comprises the steps: constructing a multi-source data collection network to collect road construction region data, and carrying out the processing to generate a structured time-space correlation data set; a construction behavior mode is determined, and accident association is excavated to construct a dynamic risk assessment channel; and a safety early warning map is generated through channel risk quantitative grading, and a safety control strategy is formulated according to the map. The technical problems that in a traditional road construction safety risk identification means, multi-source data are isolated and split, risk assessment is short of depth and early warning management and control efficiency is low are solved, and accurate quantitative grading and real-time closed-loop management and control of road construction safety risks are achieved. And the accuracy of risk identification and the emergency response efficiency are improved.

The utility model relates to the technical field of road construction, in particular to a temporary traffic road for road construction. The multiple supporting rods are connected with the passing panel, the multiple supporting rods are all located on the same side of the passing panel, and a receding cavity is formed between every two adjacent supporting rods; the supporting bottom plate is located on the side, away from the passing panel, of the supporting rod, and the supporting bottom plate is connected with the supporting rod; a temporary supporting surface can be provided for vehicle passing through the passing panel, and the passing panel can be separated from the ground through the supporting rods, so that the passing panel is kept horizontal with the original road surface, and the structural strength of the passing panel is improved; the supporting bottom plate can be matched with the passing panel and the multiple supporting rods to form a stable hollow structure, noise generated when a vehicle passes through is reduced, and the receding cavity can be formed so that a forklift arm of a forklift can stretch into the receding cavity to achieve the effect of carrying and transferring.

The invention relates to the technical field of road construction and maintenance, and discloses a multi-polymer modified emulsified asphalt in-situ cold recycling mixture and a preparation process thereof, the multi-polymer modified emulsified asphalt in-situ cold recycling mixture comprises the following components by weight: 600-680 parts of nano hybrid emulsified asphalt; 250 to 350 parts of plasma activated recycled aggregate; 15 to 30 parts of a microcapsule phase change catalyst; 5 to 10 parts of bio-based interface reinforcing fiber; and 3-8 parts of a rare earth doped curing accelerator. According to the invention, through multi-technology cross-scale fusion of a quaternary polymer rigid-flexible synergistic system, a gradient emulsification-vacuum self-assembly process, double-shell intelligent catalytic release and rare earth gradient distribution-magnetic field induced fiber arrangement, the bottlenecks of unbalanced high and low temperature performance, easy interface stripping, poor aging resistance, extensive process regulation and control and the like of a traditional asphalt material are overcome; and the strength and toughness-durability-self-adaption performance synergistic jump is realized.

The invention relates to an expressway traffic image enhancement method in complex weather. Compared with the prior art, the expressway traffic image enhancement method solves the defects of poor image restoration quality and unstable performance. The method comprises the following steps: acquiring a degraded image of a highway in severe weather; calculating an attenuation coefficient of the degraded image; calculating a detail layer of the degraded image based on the attenuation coefficient; enhancing a detail layer of the degraded image; and obtaining an enhanced traffic image. Based on adaptive Gaussian filtering and Sigmoid transformation, the appearance color of the image can be effectively improved, the contrast ratio, brightness and definition of the image can be improved, and more reliable visual information is provided for accurate perception of all-weather and whole-road-network traffic situations, traffic anomalies, road construction and other states. Through the enhanced high-quality image, the accuracy of traffic target detection and traffic state discrimination is improved, and the accuracy of traffic accident prediction in severe weather is improved.

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.