1811 results about "Road construction" patented technology

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 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 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 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 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.

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 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 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.

The invention discloses a real-time monitoring and closed-loop regulation and control method and device for construction quality of an asphalt pavement, and relates to the technical field of intelligent monitoring of road construction. The method comprises the steps of collecting multi-modal data in a construction process and performing space-time alignment to generate a space-time aligned multi-modal data set; constructing graph structure data of the construction area based on the set; extracting a node embedding vector by using a graph neural network; synchronously outputting the compactness, the temperature uniformity index and the flatness index through a multi-task prediction model based on the vector; identifying a construction track abnormal area based on the road roller track data; and generating a construction quality digital twinborn model by integrating the information, and performing feedback regulation on an automatic control system of the road roller based on the model. Through multi-modal data fusion, graph structure modeling and multi-task collaborative prediction, real-time monitoring and dynamic regulation and control of the construction quality of the asphalt pavement are realized, the prediction precision can be effectively improved, and the monitoring efficiency and accuracy are remarkably improved.

The invention discloses a full-automatic road marking spraying robot path planning system, and relates to the technical field of road construction. The system comprises a multi-source heterogeneous sensor fusion positioning module which realizes stable and high-precision positioning of a complex scene through cooperative acquisition of four sensors, a two-stage fusion algorithm and dynamic error compensation; the reinforcement learning dynamic re-planning module responds to dynamic obstacles in real time through obstacle classification dynamic modeling, a three-factor dynamic weight reward mechanism and a rapid re-planning technology; the path optimization module is used for reducing shutdown loss through consumable equipment state and path parameter coupling optimization and dual-prediction adjustment; the multi-machine collaboration module is used for realizing task balanced distribution and accurate splicing through digital twin modeling and distributed control; and the execution control module guarantees accurate path and uniform spraying through kinetic model trajectory tracking, PID parameter dynamic adjustment and spraying parameter matching. All the modules cooperate to achieve full-automatic high-precision efficient spraying under complex road conditions.

The invention discloses a paver starting vibration system and a control method, and relates to the technical field of road construction machinery, the control method comprises the following steps: starting a starting stage automatic adjustment mode, setting initial operation parameters, and collecting an actual rotation speed in real time; based on the actual rotating speed, establishing a linear proportional control relation for the running speed, and dynamically adjusting the running speed; and the dynamic adjustment process is continuously carried out, and when specific conditions are met, the mode is automatically switched to the normal mode. The intelligent control that the paving speed is restrained by the vibrating rotating speed is achieved, and the technical problems that in the asphalt paving starting stage, due to the fact that the resistance of the vibrating beam is increased, the actual rotating speed is insufficient, and due to the fact that the vibrating rotating speed is not matched with the paving speed, the pavement compactness is poor, and the flatness is low are solved.

The invention relates to the technical field of road construction, and discloses a road and bridge engineering construction trowelling device which comprises a supporting frame, wheel frames are fixedly connected to the left side and the right side of the supporting frame, a driving motor is fixedly connected to the top of the supporting frame, a vibrating frame is arranged at the bottom of the supporting frame, and then the driving motor is started to drive the vibrating frame to vibrate. The two-way spiral auger paves concrete through the trowelling assembly, then the vibration roller vibrates and vibrates the surface of the concrete, then the flattening roller compacts and flattens the surface of the concrete, when the vibration roller swings, the vibration frame vibrates through the vibration assembly, and meanwhile when the flattening roller rotates, the concrete flowing range is enlarged through the reciprocating assembly; by vibrating deep concrete, reducing pits on the surface of the concrete, cooperating with transverse movement of the flattening roller and enlarging the flowing range of the concrete, peripheral concrete can be more fully migrated to the pits, and the situation that the smoothness of the road surface is affected due to the fact that the pits exist after the surface of the concrete is flattened is effectively prevented.

The invention relates to a road construction machine having a controller 27 which is configured such that control command signals are generated for drives and actuators 8, 9, 16, 20A, 20B assigned to the wheels 4, 5, 6, 7 and / or the milling / mixing roller 18. Additionally provided are: a human-machine interface 26 that interacts with the controller 27 and a memory device 30that interacts with the controller as well as a state monitoring device 32 that interacts with the controller, which monitoring device detects an operating state or operating mode of the drives and actuators. The road construction machine is characterized in that a plurality of instruction data sets is stored in the memory device, said data sets each containing data for an instruction to be visualized using the human-machine interface. The controller provides a learning mode comprising a plurality of lessons for adjusting the position of the wheels and / or the height of the milling / mixing roller and is configured such that, depending on an operating state or operating mode of the drives and actuators detected by the state monitoring device, a selection of a specific data set is made from the instruction data sets stored in the memory device, and the instruction corresponding to the selected instruction data set is visualized using the human-machine interface. In addition, depending on the command entered with the human-machine interface after the visualization of the instruction, the controller generates for the drives and actuators the control command signals corresponding to the command entered, so that the wheels and / or milling / mixing roller move.

The invention provides an intelligent traffic cone barrel anti-collision early warning method based on binocular vision, and aims to improve the safety of a road construction operation area. And accurate data are provided for subsequent detection and analysis through a binocular camera high-precision calibration technology based on circle detection. In combination with a data acquisition and enhancement technology, high-quality training data is provided for an improved RT-DETR algorithm, and the accuracy and efficiency of vehicle identification are significantly improved. A binocular vision depth perception and StrongSORT multi-target tracking algorithm is utilized to realize real-time speed measurement and distance measurement of a vehicle, and accurate input is provided for track prediction. Based on a GAN multi-modal trajectory prediction technology, a plurality of future trajectories are generated, and a multi-level early warning decision is realized through a comprehensive collision risk index (CRI). According to the method, the limitation of an existing prediction method in a complex road scene is effectively solved, the vehicle behavior intention is predicted and analyzed through the multi-modal trajectory, and reliable early warning information can be provided under various complex road conditions.

The invention provides a roadbed continuous compaction quality evaluation method based on digital construction, and belongs to the technical field of road construction. The evaluation method comprises the following steps: continuously obtaining the compactness value and coordinate data of a detection point; a first data set corresponding to the Tth rolling is obtained, the compaction degree is evaluated on the basis of the first data set, and compaction degree evaluation comprises the steps that unqualified sample points and qualified sample points are determined on the basis of the target compaction degree value, and the compaction degree passing rate is obtained on the basis of the qualified sample points; on the basis of the coordinate data of the unqualified sample points, the fitted semi-variation function expression and an aggregation influence index calculation formula, acquiring aggregation influence indexes of the detection units which do not pass through; and comparing the compaction degree passing rate and the aggregation influence indexes of the detection units which do not pass the compaction degree passing rate with corresponding qualified indexes to obtain a compaction degree evaluation result. According to the evaluation method, the spatial characteristics of roadbed compaction detection results are fully considered, and the accuracy of roadbed continuous compaction quality evaluation can be effectively improved.

The invention discloses a soft soil foundation embankment heightening and widening structure and a construction method, and belongs to the field of water conservancy projects. In order to solve the problems of uneven settlement, landslide instability and overlarge occupied area easily occurring when the soft soil foundation embankment is heightened and widened, the structure comprises precast concrete piles (top beams and ripraps are arranged on the tops of the piles) densely arranged at the slope toe outside the embankment, an inner side cantilever retaining wall (with drainage holes and a gravel inverted filter), geogrids laid in backfill soil in a layered mode, and CFG piles arranged on the lower portion in a plum blossom shape. The guardrail base and the flower bed are integrally poured with the retaining wall. The construction method comprises the steps of slide-resistant pile construction, earthwork excavation, CFG pile construction, retaining wall pouring, embankment body backfilling and embankment top road construction. Bidirectional control over settlement and horizontal displacement is achieved through cooperation of multiple structures, variable-stiffness leveling can be achieved by adjusting parameters of the CFG piles, and the variable-stiffness leveling structure has the advantages of skid resistance, stability, landscape optimization and land occupation saving and is suitable for soft soil foundation embankment upgrading and reinforcing projects.

The invention relates to a low-altitude inspection operation multi-source data real-time fusion processing method, and belongs to the technical field of data processing. According to the method, difference and distribution uniformity analysis is carried out on each kind of monitoring data of a road construction operation area, the characterization sensitivity of the data to abnormal conditions in the clustering process is determined so as to determine the clustering weight, and then correction clustering of multi-dimensional monitoring data is carried out on all sampling points based on the clustering weight. And by analyzing the distribution dispersion of sampling points in each cluster and the distance between the clusters, the similarity between cluster data features and real road construction operation abnormal data features is completed, and operation abnormal monitoring is completed. Compared with a local optimal solution generated by existing multi-dimensional clustering, the method has the advantages that the clustering accuracy is guaranteed through the clustering weight, the clustering cluster is subjected to feature comparative analysis whether the clustering cluster conforms to the road construction operation abnormity or not, a more accurate road construction operation abnormity monitoring result is obtained, and the characterization accuracy of a multi-source data fusion result to real abnormity is improved.

The invention relates to the technical field of data visualization, in particular to a road construction information visualization analysis system which comprises a construction state layering module, a construction mode analysis module, a construction trend prediction module, an error dynamic correction module and an information storage management module. According to the method, the real-time performance and interactivity of the construction state are improved by performing multi-dimensional dynamic analysis on the road construction information, and the information such as equipment operation, construction duration and state fluctuation is accurately identified and sorted by combining the hierarchical state model and construction characteristic weight value analysis; the future construction trend can be dynamically predicted and corrected in time, meanwhile, the construction information storage mode is optimized, data management is more accurate and reliable, the defects of static display and lack of real-time updating in a traditional scheme are overcome, the strain capacity and flexibility in a complex construction environment are enhanced, and the construction efficiency is improved. Continuous tracking and adjustment of the construction information are guaranteed, and the management precision and the decision timeliness are improved.

The invention discloses basalt fiber reinforced low-carbon environment-friendly asphalt and a construction method of the basalt fiber reinforced low-carbon environment-friendly asphalt on a high and cold road surface, and relates to the technical field of road engineering. The basalt fiber is subjected to ultrasonic treatment by a silane coupling agent KH-550 hydrolysate and dried, and the low-carbon additive is prepared from waste rubber powder and biological asphalt and is matched with an anti-stripping agent; adding biological asphalt, stirring at a high speed, adding basalt fibers in three times, stirring at a high speed, and finally adding an anti-stripping agent to prepare an asphalt composition; adding an asphalt composition for wet mixing, and then adding fibers for continuous mixing to obtain a mixture; after the lower bearing layer is preheated, a crawler-type paver paves at the temperature of 155-165 DEG C, and the speed and the loose paving coefficient are controlled; initial pressing, re-pressing and final pressing are carried out, and a double-steel-wheel and rubber-wheel road roller is used for rolling according to the temperature and the speed; and after compaction, the heat-insulating tarpaulin is covered. The low-temperature crack resistance and freeze-thaw resistance of the basalt fiber reinforced asphalt, the carbon emission reduction of the waste rubber powder and the biological asphalt and the construction quality guarantee through dynamic temperature control and intelligent compaction are realized, and the construction method is adaptive to the alpine regions and meets the requirements of green road construction.

The invention discloses a frozen soil roadbed hot rod layout scheme simulation method, device, equipment, medium and product, and relates to the technical field of road construction, the method comprises the following steps: constructing a temperature field control equation and a moisture field control equation of a target frozen soil roadbed in a freezing and thawing cycle process; according to the temperature field control equation and the moisture field control equation, a frozen soil roadbed temperature field numerical model and a frozen soil roadbed moisture field numerical model used in COMSOLMultiphysics are constructed; the frozen soil roadbed temperature field numerical model and the frozen soil roadbed moisture field numerical model both comprise solid-to-liquid ratio functions; constructing a hot rod mathematical model based on the starting temperature condition of the hot rod; and according to the frozen soil roadbed temperature field, the moisture field numerical model and the hot rod mathematical model, roadbed temperature field prediction of a set time length is carried out on the target hot rod layout mode on the target frozen soil roadbed. The control precision of the hot rod on the frozen soil roadbed temperature can be improved, so that the prediction accuracy of the influence of hot rod arrangement on frozen soil is improved.

The invention relates to the technical field of road construction automation and intelligent control, discloses an intelligent sensing and control road laying automation method and system, and aims to solve the problem of unstable construction quality caused by discontinuous sensing data, poor equipment collaboration and lack of closed-loop feedback in the prior art. The method comprises the steps that operation parameters and material state data of paving and compacting equipment are collected in real time through a multi-mode sensing module; performing space-time alignment and fusion on the multi-source heterogeneous data, and constructing a high-precision three-dimensional digital construction model; and on the basis of a model prediction control algorithm, combining the laying quality prediction model and multi-objective optimization to generate optimal equipment control parameters. According to the scheme, intelligent sensing, self-adaptive decision making and accurate control in the construction process are achieved, the pavement flatness, the compaction uniformity and the construction efficiency are remarkably improved, manual dependence and resource waste are reduced, and the construction safety and the engineering quality traceability are enhanced.

This invention relates to the field of road construction technology, specifically to a prefabricated assembly structure for roadbed slope protection in mountainous wind farms, the slope protection method thereof, and the prefabricated assembly structure, comprising: a middle A-type tongue-and-groove section, a middle B-type tongue-and-groove section, an edge A-type tongue-and-groove section, and an edge B-type tongue-and-groove section; the roadbed slope protection comprises: n-level slopes, n = 1, 2, 3, ..., N-1, where the N-level slope is set on a foundation platform, and the n-level slope is set on the n+1-level slope; the n-level slope comprises: two prefabricated assembly structures for roadbed slope protection in mountainous wind farms as described in any one of claims 1-7; the prefabricated assembly structure provided by this invention consists of a middle A-type tongue-and-groove section, a middle B-type tongue-and-groove section, an edge A-type tongue-and-groove section, and an edge B-type tongue-and-groove section, which are rapidly assembled using mortise and tenon joints and groove joints; the slope protection of this invention includes an n-level slope and a foundation platform, with walkways set between each level of slope to enhance stability, significantly reducing the damage to the ecological environment caused by traditional mountainous wind farm roadbed construction.

The invention discloses an intelligent monitoring and predicting method and system for carbon emission in road construction, and particularly relates to the technical field of environmental protection and engineering construction, and the method comprises the following steps: S1, building a carbon emission database; s2, deploying Internet of Things monitoring equipment; s3, data transmission and storage; s4, data analysis and modeling: performing deep mining on the collected data by using a big data analysis technology, and establishing a carbon emission prediction model; s5, real-time monitoring and early warning: analyzing carbon emission data in real time through an intelligent algorithm, and immediately sending early warning information to a manager to timely adjust a construction plan to reduce carbon emission once an abnormal or standard exceeding condition is found; and S6, optimal control: dynamically adjusting the construction strategy to realize optimal control of carbon emission. And through deployment of Internet of Things monitoring equipment and real-time data transmission, the problems that an existing carbon emission monitoring means is low in efficiency and the real-time monitoring requirement is difficult to meet are solved, and the carbon emission condition in the construction process can be mastered in time.

The invention belongs to the technical field of road surface detection, and particularly relates to a road surface planometer for road construction, which comprises a mounting plate, the upper side wall of the mounting plate is fixedly connected with a servo gear motor, the output end of the servo gear motor is fixedly connected with a mounting frame, and the right side wall of the mounting frame is fixedly connected with a controller. And the front side wall of the mounting frame is fixedly connected with a composite environment monitoring sensor. When the planometer is used for detecting the flatness of the road surface, light rays emitted by the laser distance measuring sensor can be protected under the condition that the external illumination intensity is high or the haze concentration is large, the problem that the measurement accuracy of the laser distance measuring sensor is affected by the external environment is solved, and meanwhile the measurement accuracy of the laser distance measuring sensor is improved. And dust attached to the surface of the laser distance measuring sensor can be cleaned, so that the precision of the planometer is further improved.

The invention discloses a road construction paving quality detection method, system equipment and a medium, and relates to the technical field of road construction quality detection.The method comprises the steps that laser point cloud data, infrared thermal imaging data and vibration frequency spectrum data of a road paving layer are collected through a multi-mode sensor set carried by a vehicle-mounted mobile platform, and the laser point cloud data, the infrared thermal imaging data and the vibration frequency spectrum data are obtained; performing data preprocessing to obtain a standardized engineering data set; calculating the pavement flatness, the transverse gradient variation coefficient and the tectonic depth variation of the to-be-detected area to obtain geometrical characteristic parameters; identifying a void area of the road pavement layer, and calculating a thermal anomaly parameter to obtain a thermodynamic parameter; establishing a vibration response feature library; determining a weight coefficient by adopting an analytic hierarchy process based on the geometrical characteristic parameters, the thermodynamic parameters and the vibration response characteristic library; in the target quality comprehensive evaluation model, determining a quality index of the to-be-detected area, and generating a pavement quality detection result in combination with a quality grading standard; according to the invention, the detection accuracy of road construction pavement quality detection is improved.

The invention relates to the technical field of road engineering construction, and discloses a quality monitoring method and system for road construction, and the method comprises the steps: obtaining a time sequence image sequence of a construction region, carrying out the processing of the image sequence based on an improved Canny edge detection process, obtaining a binary image containing texture features, and carrying out the processing of the binary image. The method comprises the steps of calculating edge offset data of edge line segments between adjacent frames based on a dynamic time warping algorithm, constructing a pavement texture change model based on the edge offset data, identifying an abnormal region and calculating an area proportion of the abnormal region, and obtaining a construction quality evaluation index based on an edge expansion index and fusing data collected by an Internet of Things sensor. And comparing the construction quality evaluation index with a quality preset threshold value, triggering a grading early warning mechanism, and synchronously pushing the grading early warning mechanism to a highlight area of the construction site model. Based on the improved algorithm, the road surface texture noise interference is effectively inhibited, the edge detection stability is improved, the compactness prediction accuracy is improved, and the road construction quality monitoring efficiency is improved.