361 results about "Highway maintenance" patented technology

The invention discloses a filtering anti-blocking structure of a drainage pipe for road maintenance, and relates to the technical field of sewage discharge. The filtering anti-blocking structure of the drainage pipe for road maintenance comprises a first pipeline, and the top of the first pipeline is fixedly connected with a first filtering mechanism. According to the filtering anti-blocking structure of the drainage pipe for road maintenance, sewage is preliminarily filtered by arranging the conical filtering cylinder, and the sewage is secondarily filtered by arranging the first filtering disc and the second filtering disc in a matched manner, so that the situation that a single filtering net is easily and instantly blocked by large-particle impurities is avoided, the pressure of post-stage filtering is reduced, and the filtering efficiency is improved. A limiting rotating ring block is arranged, a first driving motor is started, the limiting rotating ring block is finally driven to rotate through gear meshing, at the moment, a rotating ball continuously slides on the surface of the limiting rotating ring block, and a first spring is matched, so that a second fixing block periodically reciprocates; finally, the banister brush is promoted to clean the through holes of the conical filter cartridge, and the through holes are prevented from being blocked.

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

The invention relates to the field of road maintenance engineering, in particular to anti-crack mortar for repairing road cracks and a preparation method of the anti-crack mortar. The anti-crack mortar for repairing the road cracks is prepared from the following raw materials in parts by mass: 90 to 130 parts of a gel material, 10 to 20 parts of a composite reinforcing agent, 120 to 180 parts of aggregate, 5 to 15 parts of a polymer auxiliary agent, 2 to 10 parts of propylene glycol, 0.3 to 0.8 part of a water reducing agent, 0.3 to 0.6 part of a retarder, 1.5 to 5 parts of a combined auxiliary agent, 20 to 40 parts of water and the like. The finally prepared anti-crack mortar not only has more excellent anti-crack performance, but also can keep good cohesiveness, has excellent adaptability and weather resistance in high and low temperature environments, is excellent in salt corrosion resistance and long in service life, reduces the maintenance frequency, and is suitable for large-scale popularization and application. The comprehensive performance requirements of the existing road maintenance engineering field on the anti-crack mortar for repairing are met.

The invention belongs to the technical field of road maintenance, and discloses a road concrete pavement layer self-adaptive crushing method based on microwave-assisted resonance, and the specific technical scheme is as follows: a microwave heating device is used for pretreating a cut and divided crushing area, and a concrete layer is weakened through a heating effect of microwave radiation to realize separation of a pavement layer; when it is judged that the temperature of the concrete in the heating area reaches the needed temperature through the thermal infrared imager, the inherent frequency of the concrete is calculated, a calculation result is fed back to the resonance crushing device, and the resonance crushing device enables the pavement layer to generate forced vibration to be crushed by generating excitation frequency; the novel method for crushing the concrete pavement layer based on microwave-resonance energy coupling has the characteristics of being accurate, controllable, efficient, applicable to multiple scenes and the like, and can be matched with an acoustic emission system to realize closed-loop control of concrete crushing, so that the working environment of the concrete pavement layer is greatly improved, and the service life of the concrete pavement layer is prolonged. And the maintenance frequency of the equipment is greatly reduced while the crushing efficiency is improved.

The invention relates to the technical field of application computer science and artificial intelligence, and discloses a highway pavement disease rapid identification and diagnosis system based on deep learning, and the system comprises a data collection and preprocessing module which is used for obtaining and processing multi-source time series data; the unified state vector characterization module is used for constructing a unified vector for characterizing the comprehensive state of the pavement; the spatio-temporal evolution and inference module is used for simulating the spatio-temporal evolution process of the pavement state; the model training and optimizing module is used for carrying out optimization training on the evolution model; and the diagnosis and prediction application module is used for generating a final diagnosis report and maintenance decision. According to the method, the development trend of the pavement diseases and the effects under different maintenance scenes are deduced and simulated through the spatio-temporal depth model jointly constrained and optimized by physical and causal knowledge, a complete closed loop of the pavement diseases from static recognition to dynamic diagnosis and decision making is realized, and the scientificity and the intelligent level of road maintenance management are improved.

The utility model belongs to the technical field of rainwater collection and utilization, and particularly relates to an automatic road rainwater collection and storage device which comprises a water storage pool body, a water collection assembly is installed on one side of the water storage pool body, and a reinforcing supporting plate is connected to the inner wall of the water storage pool body in a welded mode. A liquid level display assembly is installed on the other side of the water storage tank body, a sealing cover protection assembly is installed on the top of the water storage tank body, the bottom end of the water storage tank body communicates with a water outlet pipeline, and the water collection assembly comprises a water collection channel; a plurality of water collecting and catchment pipelines can be designed and built according to specific terrains, rainwater on the road can be conveniently collected, the water storage pool is arranged to store the rainwater, the road can be maintained or nearby green belts can be irrigated by utilizing terrain difference or pumping water in the pool through a water pump when the rainwater is needed, and the rainwater collecting and catchment functions are achieved. The utilization rate of rainwater is conveniently increased, and water resources are saved.

The invention discloses a pavement maintenance system and detection method based on an unmanned aerial vehicle, and belongs to the technical field of highway maintenance, and the method comprises the following steps: obtaining a pavement image and three-dimensional point cloud data of a target road section based on a main survey machine; screening a road surface suspicious region set in the target road section based on the road surface image and the three-dimensional point cloud data acquired by the main surveying machine; planning a re-exploration path based on the road surface suspicious region set; the method comprises the following steps: acquiring an optical image, a thermal infrared image and three-dimensional point cloud data of a road surface suspicious region set from a surveying machine; and performing defect verification on the road surface suspicious region set based on the optical image, the thermal infrared image and the three-dimensional point cloud data acquired from the surveying machine. The technical problems that a traditional road surface detection mode is low in detection efficiency, needs to close a lane and hinders traffic are solved, and the technical effect of low-cost, high-precision and rapid road surface detection is achieved.

The invention is suitable for the technical field of intelligent traffic and digital construction, and provides a highway maintenance construction traffic influence simulation method based on an unreal engine V5, which comprises the following steps: acquiring a target area satellite image, a digital elevation model and road network vector data, completing coordinate unification and layer registration in a QGIS, generating a geographic base map, importing the geographic base map into CityEngine, and constructing a highway maintenance construction model. A model matched with a real road network structure is generated by utilizing a CGA rule, an unreal engine V5 is imported through a Datasmith plug-in to establish a digital twinborn simulation environment, a vehicle entity is generated through blueprint logic in a simulation scene and runs along a spline path, speed regulation and avoidance are dynamically performed based on the vehicle distance, the passing time of a construction area is recorded and compared with a non-construction standard, and the real road network model is established. Calculating traffic efficiency, collecting vehicle density, speed and path occupancy rate, and generating a thermodynamic diagram to realize traffic state visualization. Therefore, the static, low-efficiency and non-interactive characteristics of traditional construction influence evaluation are broken through, and the scientificity, accuracy and engineering implementability of construction organization optimization and traffic flow pre-judgment are remarkably improved.

The invention provides an expressway digital maintenance management method and system, and belongs to the field of pavement maintenance, and the method comprises the construction of a multi-mode sensing network, and achieves the accurate monitoring of a vehicle impact event and a pavement foreign matter through the pre-burying of a LoRaWAN vibration sensor and a millimeter wave radar array. A road surface point cloud model is generated by using a laser radar and an integrated navigation system, and three-dimensional space-time disease modeling is realized by combining infrared thermal imaging data. And during work order generation, maintenance decision is performed through a semi-Markov decision process, a maintenance strategy is optimized by adopting deep reinforcement learning, and an AR work order is generated for visualization and conflict detection. And meanwhile, a multi-relation graph is constructed to predict a pavement performance attenuation trend, and knowledge migration and generalization of a cross-section maintenance strategy are realized by using federal migration learning, so that the maintenance working efficiency and quality are improved, and digitization and automation of highway maintenance management are realized.

The invention discloses a road maintenance construction equipment operation safety evaluation method and system, and relates to the technical field of equipment safety evaluation, and the method comprises the steps: collecting equipment multi-source operation state data, and carrying out the normalization processing, and forming a standardized working condition vector sequence; by taking each time sequence vector in the working condition vector sequence as a graph node, constructing a weighted adjacency matrix to generate a working condition evolution state graph; constructing a task feature vector according to the demand of a to-be-executed task, matching atlas nodes, calculating a path comprehensive score, and screening an optimal evolution path; all nodes in the optimal evolution path are mapped to a construction area, and the comprehensive score of the path is corrected by fusing environmental factors; and grading and classifying the corrected score and outputting a safety level and a control strategy. According to the invention, through dynamic risk correction and evolution path pre-judgment, closed-loop intelligent decision-making of construction safety is realized, and early warning timeliness and environmental adaptability are improved.

The invention relates to the technical field of intelligent traffic, in particular to an expressway maintenance point positioning management method and system based on coordinate transformation, and the method comprises the steps: collecting and analyzing a mileage pile number file of an expressway, and obtaining UTM coordinates corresponding to all mileage pile numbers of the expressway; obtaining UTM coordinates of a maintenance point; constructing a KD-Tree to carry out neighbor search, obtaining a plurality of mileage stake numbers closest to the maintenance point, carrying out linear interpolation according to the fixed stake distance between the mileage stake numbers, and calculating the relative distance between the maintenance point and the closest mileage stake; and outputting data, wherein the data comprises the mileage pile number closest to the maintenance point and the relative distance between the maintenance point and the mileage pile. According to the method, manual calculation is reduced, a dynamic zoning strategy and a boundary buffer early warning mechanism are combined, the maintenance efficiency of various expressways is improved, and unified management is realized.

The present invention discloses a 360° rotating inverted traffic cone straightening device, which relates to the field of special vehicles for the highway maintenance industry. Applicable to automatic cone retrieval vehicles, the device does not need to repeatedly correct the vehicle body to adapt to the direction of the inverted cone, nor does it need to rely on the vehicle body to move forward or backward to provide straightening power. The straightening device includes a mounting plate, a folding mechanism, a rotating mechanism and a swing arm. The folding mechanism includes a folding plate hinged on the mounting plate and a folding power source connected between the mounting plate and the folding plate; the rotating mechanism includes a rotating power source installed on the folding plate and a rotating disk connected to the rotating power source; the top of the swing arm is hinged on the rotating disk, and a swing arm power source is also connected to the rotating disk 2‑3‑3. Overall, it has the advantages of sophisticated structure, good use effect and high action efficiency, and can complete the recovery of inverted cones better and faster.

The road maintenance pavement repairing device comprises a material storage pipe, the front end of the material storage pipe is detachably connected with a material injection nozzle in a sealed mode, the rear end of the material storage pipe is detachably connected with a connecting sleeve in a sealed mode, and a gear motor is fixedly installed on the outer wall of the connecting sleeve; an output shaft of the speed reduction motor penetrates into the material storage pipe and then is fixedly connected with a square rod, a rotating shaft is arranged in the material storage pipe, spiral blades are fixedly arranged on the peripheral wall of the rotating shaft, and the end, facing the speed reduction motor, of the rotating shaft is arranged on the square rod in a sleeving mode through a square hole; according to the device, through cooperation of a second positioning block and different second positioning grooves, the orientation of a handle can be adjusted relative to a material storage pipe, and the device is matched with two scenes of material supply of a material storage hopper and material supply of a material pumping hose; the auxiliary grip is detachably connected with the ring body through the quick release mechanism, the orientation can be adjusted through the matching of the locking mechanism and different clamping grooves, the use habits of a left-hand user and a right-hand user can be met at the same time, and the operation comfort and stability are improved.

The present application relates to the field of highway maintenance engineering, and more specifically mentions an anti-cracking mortar for repairing highway cracks and its preparation method. The anti-cracking mortar for repairing highway cracks, in parts by mass, includes the following raw materials: 90-130 parts of gel material, 10-20 parts of composite reinforcing agent, 120-180 parts of aggregate, 5-15 parts of polymer adjuvant, 2-10 parts of propylene glycol, 0.3-0.8 parts of water reducer, 0.3-0.6 parts of retarder, 1.5-5 parts of combination auxiliary agent, 20-40 parts of water, etc. The anti-cracking mortar finally prepared by the present application not only has more excellent anti-cracking performance, but also can maintain good adhesion at the same time, and has excellent adaptability, weather resistance, and salt corrosion resistance in high and low temperature environments. It has an excellent service life, reduces maintenance frequency, and meets the comprehensive performance requirements of the existing highway maintenance engineering field for anti-cracking mortar for repair.

The utility model discloses a road surface cleaning device for highway maintenance, and relates to the technical field of highway maintenance. A dust collection opening is formed in the lower portion of the side wall of the impurity storage box, a dust collector is arranged in the impurity storage box, the input end of the dust collector is communicated with the dust collection opening, a shell is arranged on one side of the impurity storage box, a lifting plate is arranged in the shell in a lifting mode, and a rotating shaft is rotationally connected to the middle of the bottom face of the lifting plate in a penetrating mode. The side wall of the rotating shaft is fixedly connected with a gear, an electric push rod is arranged below the lifting plate, the output shaft end of the electric push rod is fixedly connected with a connecting block, the side wall of the connecting block is fixedly connected with a lengthening plate, one end of the lengthening plate is fixedly connected with a toothed plate, the other end of the lengthening plate is fixedly connected with a frame body, and the top face of the frame body is rotatably connected with a lengthening shaft in a penetrating mode. The bottom end of the lengthened shaft is fixedly connected with a road sweeping disc; the cleaning device is good in cleaning effect, the cleaning surface can be enlarged, and the cleaning efficiency is improved.

The utility model discloses a highway safety guardrail convenient to maintain, which is convenient to install and dismantle, saves a large amount of installation construction time and labor force by arranging positioning support columns to be fixedly installed on foundations on two sides of a highway and clamping the positioning support columns through elastic force of elastic installation components at two ends of guardrail baffles and detachably connecting the guardrail baffles with the positioning support columns. By means of the structure, dismounting, mounting and repairing work in the later-period road maintenance process is greatly facilitated, the later-period road maintenance efficiency is improved, when the guardrail baffle is impacted by a vehicle, impact of vehicle impact on the guardrail baffle and the positioning supporting columns is weakened through deformation buffering of the elastic mounting assemblies, and after an impact accident is eliminated, the guardrail baffle is prevented from being damaged. And through the reset function of the elastic mounting assembly, the guardrail baffle is restored to the original shape, the workload of later road maintenance is greatly reduced, and safety is guaranteed.

The invention discloses a post-evaluation method for a road maintenance project. The post-evaluation method comprises the following steps: S1, establishing a post-evaluation index system of an ordered hierarchical structure related to the road maintenance project; s2, calculating a correlation degree between indexes of each level in the post-evaluation index system; s3, on the basis of the association degree between the indexes of each level, constructing the weight of the index of each level; s4, constructing a fuzzy membership matrix of each level index; and S5, performing fuzzy comprehensive evaluation on the maintenance engineering project according to the weight and the fuzzy membership matrix of each hierarchy index, establishing a post-evaluation index system of three structural hierarchies, and adopting a comprehensive evaluation method based on an association degree-AHP-fuzzy mathematics theory to evaluate the maintenance engineering project. The method has the advantages of clear process, strong operability, subjective and objective combination and practical evaluation results.

The utility model provides a road maintenance isolation warning fence, which belongs to the field of warning fences and comprises a first storage box body and a second storage box body, fence components are arranged on the first storage box body and the second storage box body, and height adjusting components are arranged on the first storage box body and the second storage box body. By arranging the fence assembly, the first storage box body and the second storage box body are pulled during use, so that the first storage box body and the second storage box body are far away from each other; at the moment, the connecting fences in the first storage box body and the second storage box body can be unfolded from the interiors of the storage spaces in the first storage box body and the second storage box body to form fences, and therefore isolation warning is conducted on the road maintenance area.

The application belongs to the technical field of highway maintenance, and provides a highway greening engineering maintenance method and system based on machine learning, comprising the following steps: S100, acquiring a to-be-maintained greening engineering area map and generating a collection path, and flying a UAV along the collection path to acquire multiple hyperspectral images of the area map; S200, generating a first image according to the acquired multiple hyperspectral images; S300, marking a pest area in the first image and updating the first image into a second image; S400, introducing a decision tree model to train and learn pest image features and environmental parameters by training the second image to the initialized decision tree model obtained by training the second image to the decision tree model, so that key influencing factors can be autonomously extracted, intelligent identification of pest areas and judgment of diffusion trends are realized, and targeted maintenance suggestions are generated according to the training results, the accuracy and reliability of pest detection are improved, and the method is particularly suitable for highway scenes with wide distribution of green belts and rapid environmental changes.

The application discloses a kind of highway maintenance digital twinborn application system construction method and system, it is related to digital twinborn technical field, the steps of this method include: real-time acquisition of the multi-source perception data of highway section, and introduce constraint engine, to highway three-dimensional entity construction, generate several three-dimensional sub-image model;Among them, multi-source perception data includes highway image, highway laser point cloud and component attribute;Based on three-dimensional sub-image model, abstractly constructed to form topological space, adopt interpolation algorithm to generate datum curve, and combine the grid vertex of three-dimensional sub-image model, identify envelope boundary, to execute cross section scanning and generate target rendering road;Based on target rendering road, identify disease area, and based on disease area introduce preset maintenance rule, through semantic mounting mapping back to topological space, form digital twinborn application system;The application improves the efficiency of highway maintenance management, improves the computing power and rendering performance of three-dimensional rendering.

The invention belongs to the technical field of road maintenance equipment, and more particularly relates to a double-machine cooperative asphalt pavement field thermal regeneration centralized power supply system and method. The device is applied to asphalt pavement site thermal regeneration construction and comprises a first combined type heating machine integrated with a main diesel generator and a second combined type heating machine internally provided with an electric interface. The first combined type heating machine and the second combined type heating machine are each provided with a heating system, a hydraulic system and an electrical system. The power supply connecting device comprises a high-voltage cable and a quick plug connector; and the control system integrated on the first combined type heating machine realizes global monitoring and fault self-protection of the dual-machine power supply system through a power switch module, an overload protection module, a voltage monitoring module and a state display panel. Through cooperative operation of double machines, the operation distance can be flexibly adjusted to adapt to construction of different road surfaces; the transition refueling frequency is reduced by 50%, the time is shortened by more than 40%, and the construction efficiency is greatly improved.

The utility model provides an ice crushing device, and relates to the field of highway maintenance. The ice crushing device comprises a box body and an ice crushing mechanism, a collecting mechanism is arranged below the box body, a moving mechanism is further arranged below the box body, the collecting mechanism comprises an ice shovel and a collecting box, and the moving mechanism comprises a rotating shaft and a crawler belt. According to the ice crushing device, the collecting mechanism is arranged, and an ice shovel, a collecting box and a water pump are matched for use, so that the problem that in the patent, crushed ice residues are swept and accumulated to one side of a road surface only through a cleaning wheel brush, so that the ice residues accumulated to one side of the road surface are secondarily iced, and normal use of the road is affected is solved; the beneficial effects that crushed ice residues are collected and treated, and it is avoided that secondary icing of the ice residues affects road use are achieved. According to the ice crushing device, wheels used for moving are replaced by the crawler belts, the problem that the wheels are prone to slipping on the ice surface is solved, and the beneficial effect that the use of the device is prevented from being affected by slipping of the wheels is achieved.

This invention belongs to the field of highway maintenance and mainly relates to a highway crack treatment device. Its features include: a mobile vehicle equipped with a push-pull handle; a cleaning mechanism including a support frame, an air tank, a storage box, a sand-blowing pipe, and a heating component; the support frame is mounted on the top of the mobile vehicle, the air tank and the storage box are mounted on the support frame, the outlet of the storage box is connected to the sand-blowing pipe, and the sand-blowing pipe, the outlet of the air tank, and the inlet of the heating component are connected via a T-junction; a discharge mechanism equipped with a counterweight, the discharge mechanism being connected to the outlet of the heating component and the outlet of the sand-blowing pipe via a discharge pipe; and an air pump connected to the air tank. This application utilizes a T-junction to switch pathways, allowing the same air source to both drive the sand-blowing pipe for sandblasting and provide a high-temperature drying airflow, achieving effective removal of gravel and impurities from the cracks and rapid drying of the crack walls.

The invention relates to the technical field of road maintenance equipment, in particular to a viaduct ice and snow active identification and removal method and equipment based on deep learning, and aims to realize high-precision and low-delay identification of ice at the bottom of a bridge by replacing a standard convolutional layer in a YOLOv8 backbone network with a GSConv module and constructing a lightweight target detection model; by means of the identified and output position coordinates and size information, the infrared heating plate is guided to be accurately aligned with the root of the ice hanging part, heating parameters are dynamically adjusted, and the ice hanging part naturally falls off after being heated; falling ice blocks enter an ice melting box with a heating layer at the bottom through a collecting tank and a conveying pipeline, are instantly melted into water and are discharged through a drainage pipe, and a closed-loop clearing process without ice storage is formed. Manual intervention is not needed, the bridge body is prevented from being damaged by mechanical impact, the overturning risk of equipment caused by ice storage is eliminated, and the safety, efficiency and automation level of deicing operation are remarkably improved.

This utility model provides a traffic safety guidance device for highway maintenance construction, including an indicating mechanism and a support mechanism, which are detachably installed together. The indicating mechanism includes an indicator sign, and two support frames are symmetrically arranged on the bottom back of the indicator sign along its central axis. Each support frame has an n-shaped end, and a fastening key is installed on the n-shaped structure. A support rod mounting hole is provided at the center of the bottom of the indicator sign. In use, by providing a support rod mounting hole at the bottom of the indicator sign, the indicator sign can be connected to the support mechanism through the support hole, allowing it to be installed on the road surface. After disassembling the support mechanism, the indicator sign can be secured to a fence using the support frame and fastened with the fastening key. Alternatively, the indicator sign can be fixed to a flat surface by using screws in conjunction with the support hole. This adaptable method improves the ease of installation according to the construction environment.

The invention relates to the technical field of road construction, and provides a road maintenance crack repairing and flattening device which comprises a base, an inclined tamping assembly is arranged in the middle of the bottom end of the base and comprises a fixing plate fixedly arranged at the bottom end of the base, and a first driving chain wheel and two first rotating shafts are arranged on one side of the fixing plate; first connecting rods are arranged on the outer surfaces of the first rotating shafts, second connecting rods are arranged at the bottom end of the base, a third rotating shaft is arranged at the lower ends of the two first connecting rods, a fourth rotating shaft is arranged at the lower ends of the two second connecting rods, and mounting plates are arranged at one ends of the third rotating shaft and the fourth rotating shaft; arc-shaped plates capable of moving in an opening and closing mode are symmetrically arranged at the lower end of the mounting plate. According to the crack repairing and flattening device for road maintenance, the V-shaped structure capable of being adjusted to be opened and closed is matched with the inclined tamping assembly, multidirectional compaction and rapid surface leveling of a crack repairing material are achieved, and the compactness of a repairing layer and the flatness of a road surface are improved.

The utility model provides a highway maintenance engineering is with foldable fence belongs to highway maintenance equipment technical field. Including the fence body, the fence body one side is provided with hollow rotating drum, the fence body other side is provided with folding subassembly, the hollow rotating drum inside rotatable connection another fence body's folding subassembly, the folding subassembly inside whole penetration, the folding subassembly is used for folding to the fence, the folding subassembly inside rotatable connection has adjusting assembly, adjusting assembly is used for adjusting fence folding angle and bottom pulley, the folding subassembly includes connecting shaft, connecting shaft one end fixed mounting in the fence body side. The utility model is through the close cooperation between folding subassembly and adjusting assembly, has realized the folding function of fence, can adjust folding angle and bottom pulley, has promoted the practicality and flexibility of fence in highway maintenance engineering.

The application relates to the technical field of highway maintenance, in particular to a highway drainage ditch self-leveling mortar and a preparation method thereof. The highway drainage ditch self-leveling mortar is prepared from at least gelatinous material and 20-200 mesh graded aggregate, the mass ratio of the gelatinous material and the graded aggregate is (14-17):(9-12), and a composite reinforcing agent and a functional additive are further added. The application greatly improves the core contradiction that the self-leveling performance and the structural durability cannot be simultaneously considered in the construction of the highway drainage ditch, the prepared mortar has excellent fluidity and thixotropy in the construction, can automatically flow and evenly cover on the inclined ditch wall, effectively avoids defects caused by manual troweling, greatly improves the construction efficiency and the forming quality, and the structure formed after hardening is compact and has a self-reinforcing characteristic.

The invention relates to the field of road maintenance construction monitoring, in particular to a road maintenance construction monitoring system and method based on vehicle-road cooperation. Comprising the following steps: collecting road construction induction information in a road maintenance construction task under a distributed vehicle-road cooperation terminal, processing the road construction induction information, and constructing an induction field index table; analyzing the induction field index table and the road construction induction information, generating semantic nodes and relation edges, and constructing a road induction semantic map; configuring a recording unit for a semantic node of the road induction semantic map, analyzing the recording unit, and generating a road time sequence link of induction information; analyzing the road time sequence link to generate a change label; based on the change label and the road induction semantic map, analyzing semantic nodes, and constructing an induction abnormity linkage chain; and generating a response instruction state table according to the vehicle-road cooperation terminal and the induction abnormity linkage chain. The road traffic safety can be improved.

The invention discloses an expressway maintenance decision management method based on multi-source data analysis, and the method comprises the following steps: 1, road region pre-segmentation and feature extraction: carrying out the preprocessing of an expressway monitoring video through employing a MobileNetV3 + DeepLabV3 model, carrying out the pre-segmentation of a road region, and only carrying out the feature extraction of the segmented road region; step 2, image splicing and complete image generation: splicing the segmented road area images; 3, highway maintenance demand analysis: designing a cascade network architecture, adopting a YOLOv8 model for detecting large-scale damage in the first layer, adopting a-Net + + model for finely segmenting micro-cracks in the second layer, adopting a Vision Transform model for analyzing the damage depth in the third layer, and combining the output of the three layers of networks to accurately evaluate the maintenance demand of the highway; 4, performing maintenance engineering analysis and duration prediction; 5, analyzing historical traffic flow; and step 6, maintenance time decision and influence evaluation.