452 results about "Highway maintenance" patented technology

The invention relates to the technical field of road maintenance management, and particularly discloses a novel digital road maintenance management method and system based on multi-source data, and the method comprises the steps: carrying out the multi-dimensional analysis of a road crack image through employing an image processing technology based on deep learning; the method comprises the following steps of: identifying a crack type and quantifying key parameters such as width, length and area of the crack, simultaneously, capturing a time sequence change trend and a periodic rule of road traffic flow by performing time sequence analysis on historical traffic flow data of a road, and further fusing a static crack detection result with a dynamic traffic load mode through a time sequence derivation algorithm to obtain a dynamic crack detection result. The expansion trend of the crack under the action of the future traffic load is predicted, and long-term crack development prediction is formed, so that road maintenance management is performed based on the long-term prediction result of the road crack. According to the method, accurate diagnosis and active intervention of the road state can be effectively realized through multi-dimensional data collaborative analysis, so that the efficiency and effect of road maintenance are remarkably improved.

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 belongs to the field of road maintenance detection, and discloses an asphalt pavement crack detection method and system based on image analysis, electronic equipment and a storage medium, and the method comprises the following steps: collecting an image of an asphalt pavement, and preprocessing the collected image to obtain a first image; segmenting the preprocessed image by using a full convolutional neural network, and performing morphological processing on the segmented image to obtain a second image; calculating a gray level co-occurrence matrix of the second image and extracting texture features, detecting edge information of the second image by using an edge detection algorithm, and combining the texture features with the edge information to obtain a crack candidate area; constructing a convolutional neural network model, and training the convolutional neural network model through the historical crack image and the historical non-crack image to obtain a crack recognition model; and inputting the crack candidate region into a crack identification model for crack identification to obtain a crack identification result.

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 provides a road maintenance unit intelligent division management system based on BIM-GIS, and belongs to the technical field of traffic operation and maintenance. The system comprises a BIM module used for establishing a BIM model of a target road; the GIS module is used for carrying out maintenance unit division on the target road based on a unit division rule to obtain a plurality of maintenance units; the BIM-GIS fusion module is used for carrying out position matching on the BIM model and a plurality of maintenance units; and the interaction module is used for displaying the maintenance information of each maintenance unit and executing maintenance operation in response to the maintenance instruction. The road maintenance unit intelligent division management system based on the BIM-GIS provided by the invention can improve the refinement degree of road maintenance and significantly improve the accuracy and efficiency of maintenance management.

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 relates to the technical field of detection devices, in particular to a road maintenance ground permeability detection device which comprises a detection support, an inner enclosure, an outer enclosure and a check ring. The inner enclosure is arranged in the vertical direction and located at the lower end of the detection support, and a detection space is defined among the inner enclosure, the detection support and the ground. The outer enclosure is rotationally installed at the lower end of the check ring, and a smearing space is defined by the detection support, the inner enclosure, the outer enclosure and the check ring. According to the ground permeability detection device for road maintenance, the detection support, the inner enclosure, the outer enclosure and the check ring are arranged and matched, when a sealing material is smeared, an automatic smearing mode is adopted to replace manual smearing, the smearing area is large, the efficiency is high, and in the whole smearing process, the smearing efficiency is high; the detection space and the smearing space are separated from each other through the inner enclosure, so that the sealing material in the smearing space can be prevented from entering the detection space, and the accuracy of subsequent detection is improved.

The invention relates to the technical field of resource scheduling, in particular to a road maintenance allocation system and method based on data analysis, and the system comprises a material aging evaluation module, a road wear evaluation module, a traffic load influence analysis module, a budget allocation module and a maintenance adjustment module. According to the method, by collecting and analyzing the initial components of the highway pavement material and monitoring changes in different time periods, the attenuation rate and the mass loss of the material can be accurately calculated, the recognition precision of the highway maintenance requirement is improved through data driving, it is ensured that resources can be more effectively distributed to the area where maintenance is most needed, and the maintenance efficiency is improved. Not only can the actual loss degree be responded, but also the future wear trend and damage expansion can be predicted, the utilization and budget distribution of maintenance resources can be optimized, the specific influence on the pavement wear can be analyzed in combination with traffic flow and vehicle load distribution data, and the fund and maintenance plan can be further accurately adjusted. And the maintenance work is more prospective and targeted.

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 provides a highway maintenance safety operation cooperative prevention and control system integrated with a four-prevention and one-hiding technology. According to the system, the safety of road maintenance operation is improved. The early warning control module is connected with the remote sound-light-electricity early warning unit, the upstream guardrail early warning unit, the forward anti-mistaken-running unit and the lateral anti-mistaken-running unit through the Internet of Things and the single-chip microcomputer control technology, an operation area is monitored in real time, social vehicles are prevented from mistakenly running into the operation area, and the operator safety monitoring module is connected with the early warning module in real time through intelligent wearable equipment. An early warning signal is sent to an operator to remind the operator to avoid risks in time, and the cooperative control module fuses real-time data of all the modules, carries out global target optimization decision, adjusts the working state and ensures cooperative and efficient operation of all the modules. Through the combination of four-prevention and one-hiding technologies, the safety of road maintenance operation is effectively improved, the risk of accidents is reduced, and the operation efficiency is improved.

The invention relates to an expressway maintenance management method and system, and relates to the field of road maintenance, and the method comprises the steps: obtaining humidity change diagrams corresponding to a plurality of positions in a tunnel and vibration change diagrams corresponding to the plurality of positions, the humidity change diagrams and the vibration change diagrams are humidity change diagrams and vibration change diagrams from the last maintenance time to the current time, determining an abnormal risk value of each position based on the humidity change diagrams and the vibration change diagrams, and obtaining historical monitoring videos in the tunnel; the historical monitoring video is a monitoring video from the last maintenance time to the current time, determining the severity of an accident occurring in the tunnel and the position of the accident based on the historical monitoring video, judging whether a road section needing to be maintained exists or not based on the abnormal risk value and the severity of the accident, and if the road section needing to be maintained exists, stopping maintenance. And if yes, outputting the road section to be maintained. The method and the device have the effect of finding the position where the tunnel is about to be damaged or damaged in time.

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 relates to the technical field of progress management, in particular to a road maintenance construction progress management method and system, and the method comprises the following steps: obtaining road maintenance construction data, calculating the driving time of construction equipment, the passing matching performance and the equipment scheduling sequence, screening a path with blocked passing, and building an equipment passing priority sequence. According to the method, pavement wear monitoring data is utilized, equipment operation intensity is matched according to wear conditions, material laying and mechanical frequency are optimized, pavement non-uniform wear is reduced, construction procedure time data are combined, a procedure connection sequence is optimized, construction continuity is improved, equipment sharing conflicts are reduced, and actual execution data of task nodes are analyzed; according to error accumulation, accurate correction, dynamic adjustment of a construction plan and matching of construction site requirements are carried out, the construction scheduling flexibility is improved, the plan execution precision is enhanced, construction interruption is effectively reduced, and the overall efficiency of road maintenance construction is 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 an intrusion early warning system for a road maintenance period, which relates to the technical field of traffic, and comprises a recording unit arranged in an event monitoring area and used for recording data of an intruded vehicle and uploading the data to an Internet of Things cloud platform to perform classification and risk assessment on an intruding event; a driving-in speed function and a driving-out speed function are constructed in a speed monitoring area, a dynamic overspeed reference value is calculated after integration and serves as an overspeed judgment basis of a current time window, and a dynamic display unit is arranged in a buffer area to receive and display the dynamic overspeed reference value in real time and update the dynamic overspeed reference value according to the sequence of the time window. According to the system, full-chain type monitoring is formed from the buffer area, the speed monitoring area to the event monitoring area, through collection and analysis of vehicle information, driving speed and track data and connection with the Internet of Things cloud platform, not only can overspeed behaviors be judged in real time, but also intrusion events can be classified and subjected to risk assessment, and the safety of the system is improved. And reliable data support is provided for subsequent optimization of a traffic management strategy.

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 invention belongs to the technical field of road maintenance engineering data processing, and discloses an AI maintenance frame building method and system capable of automatically generating a maintenance construction drawing. According to the method, a comprehensive visual decision support system is constructed, road network result information is obtained, and maintenance measure expert database construction standards are constructed according to actual requirements of different regions; performing priority ranking on the maintenance paragraphs according to target requirements, and completing optimization of maintenance countermeasures; realizing automatic generation of a maintenance design scheme based on an RAG application; and cross-platform intelligent interaction between the natural language and maintenance design scheme software is realized by utilizing a CAD software automation function of a large language model. According to the method, the first draft of the maintenance design report is finally and automatically generated, intelligentization and automation of highway maintenance design, decision making and implementation processes are realized, and the efficiency, accuracy and economical efficiency of the whole process can be improved.

The invention relates to the technical field of road monitoring, in particular to a method and system for monitoring the full life cycle of a road based on road data. The problems of poor stability and response speed and high maintenance cost of the system are solved; the method comprises the steps of obtaining maintenance dynamic data of a target highway section to obtain a data set, performing segmentation processing according to a time sequence, and establishing a full life cycle monitoring model to obtain a monitoring result of the target highway section; and setting a normal threshold value of the full life cycle of the road, determining an abnormal state when the monitoring result of the target road section is higher than the normal threshold value, and giving an alarm for reminding when an abnormality is detected. The system comprises a data acquisition module, a full-life-cycle monitoring model module and a full-life-cycle early warning module. According to the invention, the efficiency and accuracy of data analysis are improved; the dynamic monitoring of the road section state is realized through the model; the response speed and the emergency processing capability of road maintenance management are improved, and the sense of trust and satisfaction of the public to road maintenance management are enhanced.

The invention belongs to the technical field of road maintenance, and particularly discloses a pavement crack pouring material based on an ST-BA copolymer modifier and a preparation method. The pavement crack pouring material based on the ST-BA copolymer modifier is prepared from the following components in parts by weight: 80 to 100 parts of matrix asphalt, 4 to 6 parts of ST-BA copolymer, 5 to 9 parts of modified filler, 3 to 9 parts of compatilizer, 2 to 5 parts of tackifier, 0.1 to 0.15 part of stabilizer, 1 to 5 parts of anti-ultraviolet agent and 1 to 5 parts of adsorbent. The crack pouring material prepared by the invention not only has physical and chemical compatibility with aggregate between cracks, but also has stronger cohesiveness with the aggregate, has better displacement capacity at low temperature, can resist the influence of external environmental conditions on the performance of the crack pouring material, and prolongs the service life of the crack pouring material.

The invention relates to the technical field of image data processing, in particular to a road maintenance equipment heat dissipation performance analysis system based on a thermal imaging technology, which comprises the following steps: acquiring the initial smoothness of each pixel point in a thermal infrared image in the process of dividing the thermal infrared image into a base layer image and a detail layer image; and correcting the initial smooth degree according to the temperature change rule of each pixel point in the continuous frames to obtain the final smooth degree of each pixel point, and performing enhancement processing on the thermal infrared image by using the improved self-adaptive guide filtering. According to the method, the contrast of the thermal infrared image is improved, detail information is highlighted, the problem that the temperature distribution edge is relatively fuzzy due to the influence of the resolution in the thermal infrared image is avoided, and the accuracy of the analysis result of the heat dissipation performance of the road maintenance equipment is improved.

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 relates to the field of road maintenance, in particular to a pressure-adjustable spray gun for a road maintenance watering cart, which comprises a water receiving pipe, the upper end of the water receiving pipe is communicated with a flow control cavity, and the left end of the flow control cavity is fixedly communicated with a water injection nozzle; the right end of the flow control cavity fixedly communicates with a sealing opening, a water pressure adjusting structure is sleeved with the sealing opening and comprises a telescopic plug, and a plurality of sealing sleeves are fixedly connected to the middle and the rear portion of the outer side of the telescopic plug. The water spraying vehicle has the advantages that by arranging the water pressure adjusting structure, when the water spraying vehicle sprays water to clean a road and meets road surfaces with different conditions, the water pressure of the spray gun can be adjusted by adjusting the flow of the outlet of the spray gun so as to adapt to different road surface conditions, and the road maintenance efficiency is improved.

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.