586 results about "Highway engineering" patented technology

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

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

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

The invention discloses a pavement maintenance decision-making method, system and equipment, a medium and a product, and relates to the field of highway engineering management. The method comprises the following steps: firstly, collecting performance data of a target road section, and identifying a to-be-optimized pavement maintenance unit through a threshold judgment method or a K-means clustering algorithm; encoding each maintenance measure type and the corresponding maintenance opportunity into a real number vector, and taking the real number vector as a maintenance scheme code; constructing a multi-target fitness function covering pavement performance, maintenance cost and carbon emission; carrying out iterative optimization on the maintenance scheme through a particle swarm optimization algorithm on the basis, and outputting a particle swarm optimization solution set; performing rapid non-dominated sorting and congestion degree distance calculation on the particle swarm optimization solution set, and extracting a Pareto optimal solution set; and fusing the Pareto optimal solution and the full-life-cycle comparison data of the target road section, and outputting a maintenance decision scheme for each pavement maintenance unit, so that the decision efficiency and the scientificity, accuracy, sustainability and refinement degree of the maintenance decision scheme are improved.

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

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

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

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

The invention relates to the technical field of highway engineering safety monitoring, in particular to a highway subgrade three-dimensional deformation monitoring system based on unmanned aerial vehicle oblique photography, and the system comprises an unmanned aerial vehicle oblique photography module which adopts a five-lens synchronous shooting strategy to realize the omni-directional coverage of a subgrade; the three-dimensional point cloud generation engine generates a high-precision three-dimensional point cloud model through feature extraction, registration and triangulation strategies; the deformation field analysis platform models a roadbed surface into a parameterized Riemannian manifold based on a differential geometry theory, captures deformation dynamic characteristics through multi-scale curvature flow analysis, and identifies potential risks by using topological evolution characteristics of deformation singular points; and the risk evaluator evaluates the risk level based on the singular point density, the change rate and the topological stability and generates early warning information. According to the invention, millimeter-level accurate monitoring of roadbed deformation is realized, various deformation modes from micro-cracks to large-scale settlement can be captured, the potential landslide risk is early warned 30-45 days in advance, and the false alarm rate is significantly reduced.

The invention relates to the technical field of highway engineering monitoring, in particular to an acoustic emission diagnosis method and system for fatigue cracks of a heavy-duty highway, and the method comprises the steps: collecting acoustic emission signals by a multi-depth piezoelectric ceramic sensor array pre-buried in a pavement structure; carrying out time-frequency domain topological feature extraction on the collected signals, wherein the time-frequency domain topological feature extraction comprises wavelet packet entropy value mapping and phase-space reconstruction, and extracting topological invariants such as correlation dimensions and Lyapunov indexes; inputting the time-frequency feature vector into a transfer learning model to realize multi-scale feature fusion, and innovatively adopting a gradual change domain to realize smooth transition from a source domain to a target domain; a fractal stress field model is constructed based on the fusion features, and stress diffusion depth estimation and crack evolution prediction are achieved; a crack propagation area is automatically marked through correlation coefficient analysis, a crack temperature diagram is generated, and a maintenance decision suggestion is output, so that early-stage microcrack detection of the heavy-load highway is realized, the detection sensitivity is improved by about 35%, and the depth positioning precision reaches + / -1.5 cm.

The invention relates to the technical field of artificial intelligence, and more specifically discloses an artificial intelligence-based earthwork real-time dynamic monitoring system and method, and the method comprises the steps: obtaining an image of a to-be-detected earthwork region through satellite remote sensing data, extracting a feature vector and a feature matrix, constructing a classification feature vector, and finally obtaining a classification result through a classifier. Therefore, real-time monitoring of earthwork settlement and slope deformation is realized, a simple, convenient and rapid quality safety control means is provided for highway engineering construction, municipal roads, constructional engineering and landscape and garden engineering, the engineering construction efficiency is improved, and the engineering cost is reduced.

The invention relates to the technical field of highway traffic, and discloses a digital management and control method and system for highway engineering test detection. The method comprises the following steps: acquiring highway engineering test detection data, preprocessing original detection data in real time by using edge computing nodes, and generating a standardized detection data stream; based on the data stream, a dynamic window segmentation algorithm is adopted to extract time domain features of detection data, and a multi-level data quality evaluation model is established. And performing exception marking on the detection data through the model, matching exception types in combination with a historical exception data pattern library, and outputting an exception detection result and confidence. And triggering a self-adaptive sampling strategy according to an abnormal detection result, adjusting the detection data acquisition frequency and the sampling precision, and generating an optimized detection task instruction. And finally, issuing an instruction to an edge computing node, synchronously updating a parameter threshold value of the multi-level data quality evaluation model, and forming a closed-loop feedback control mechanism.

The invention provides a method for generating a highway engineering feasibility research report based on local large model training, which is based on a locally deployed large model, integrates multi-source data, and realizes mapping and verification from a fuzzy policy to a structured field through regular extraction of a standard field and construction of a highway engineering knowledge graph. The method adopts TensorRT to accelerate reasoning, injects a specification term table, optimizes term consistency in combination with comparative learning, and generates a specification text through LoRA fine tuning and a reward function. After route parameters are input, geometric features are calculated, a disaster database is associated to recommend a detour scheme, and chapter content is generated. And outputting a formal report based on the template, and ensuring data consistency through cross validation. RPA is adopted to capture standard updating, Kafka and Fiss vector libraries are combined to achieve compliance verification, knowledge graph incremental updating and conflict correction are triggered, and a full-process automatic and intelligent feasibility research report generation system is formed.

The utility model relates to the technical field of crack repairing and discloses a crack repairing machine for highway engineering, which comprises a frame, rollers are mounted on two sides of the outside of the frame, a storage box is fixedly connected to the upper portion of the frame, and a transfer pump is fixedly connected to the front side of the outside of the storage box. The input end of the material pumping pump is fixedly connected to the interior of the material storage box, the output end of the material pumping pump is fixedly connected with a conveying pipe, a discharging head is installed at the bottom of the conveying pipe, moving blocks are slidably connected to the two sides of the interior of the discharging head, and moving rods are fixedly connected to the left sides of the exteriors of the moving blocks; and the outer part of the moving rod is fixedly connected with a grip. According to the utility model, the discharge head of the crack repairing machine is convenient to replace, the problem that a bolt is manually unscrewed or tightened through a wrench in a traditional replacement mode is solved, the mode is simple and convenient to operate, time-saving and labor-saving, and the working efficiency of the crack repairing machine is improved.

The utility model relates to the technical field of highway engineering material detection, and discloses a highway engineering material detection device which comprises a main control machine body, the upper surface of the main control machine body is fixedly connected with a detection mechanism, an automatic sweeping mechanism is arranged above the main control machine body, and the automatic sweeping mechanism comprises a support. An electric telescopic rod is fixedly connected to the inner wall of the support, a movable frame is fixedly connected to the telescopic end of the electric telescopic rod, a double-shaft servo motor is fixedly connected to the inner wall of the movable frame, and two sliding frames are slidably connected into the movable frame. According to the highway engineering material detection device, through mutual cooperation of the main control machine body, the detection mechanism, the support, the electric telescopic rod, the moving frame, the double-shaft servo motor, the threaded rod, the sliding frame, the driving motor, the rotating rod and the sweeping rotating disc, a material with the strength to be detected can be placed in the detection mechanism, and the detection mechanism is matched with the main control machine body to detect the material; the electric telescopic rod can control the horizontal distance of the cleaning turntable relative to the upper and lower extrusion surfaces of the detection mechanism.

The invention discloses a highway engineering parametric modeling method based on a digital-analog driven component library, which comprises the following steps of: bringing different types of component space constraint logic (namely primary and secondary hierarchy rules) into a whole model modeling process, and determining a key design baseline point set of mutual influence among components by extracting section forms of different components; and on the basis of the design points and the standard cross section, parameterizing to generate space coordinates of different components and a coupling form with the terrain so as to support rapid adaptation and accurate construction of a three-dimensional model to complex route conditions. Through the mode, the technical problems that fitting precision of a parameterized model standard section and topographic data is lost and relevance between components is weak under the condition of a complex route are solved, meanwhile, corresponding design baselines and section parameters are stored through a database, section parameters and spatial positions of different components are calculated on the basis of clear spatial constraint logic, and therefore the fitting precision of the parameterized model standard section and the topographic data is improved. And rapid positioning, parameter updating and structure collaborative adjustment of the component are realized, so that the modeling efficiency and the design flexibility are remarkably improved.

The invention discloses a block chain-based highway engineering electronic file credible evidence storage method and system, and relates to the technical field of block chain data evidence storage. The method comprises the following steps: constructing an under-chain data cabin to uniformly store and manage original data of a multi-source electronic file, and generating a real-time state identifier; defining a key evidence storage event through an intelligent contract, and monitoring a triggered signal by using an oracle machine service; in response to the trigger signal, calling a sampling verification strategy according to an event type to perform credible verification on the state of the data cabin; after the verification is passed, generating an evidence storage transaction abstract containing an event identifier, a state root hash and other elements, and submitting the evidence storage transaction abstract to the block chain for evidence storage; and meanwhile, reverse verification on the off-chain data cabin according to the on-chain abstract is supported. According to the invention, low-cost and high-efficiency management of the highway engineering electronic archives is realized, verifiability of on-chain and off-chain data is ensured, and credibility of highway engineering electronic archive management is improved.

The invention relates to a tunnel single-layer lining embedded grating steel frame structure and a construction method thereof, and belongs to the technical field of highway engineering. The structure is composed of a primary support, a film spraying waterproof layer, a secondary lining and embedded grating steel frames, the embedded grating steel frames are embedded into the primary support and the secondary lining respectively, the effects of transmitting shear stress and coordinating deformation are achieved, the primary support and the secondary lining form a combined beam stress state, and the overall rigidity and bearing capacity of the lining structure are remarkably improved. During construction, the arrangement distance of the grating steel frames is determined through theoretical calculation, and it is ensured that the anti-shearing requirement is met. The method has the advantages of being convenient and fast to construct, high in safety and good in economical efficiency, the lining thickness and the number of reinforcing bars can be effectively reduced, the engineering cost is reduced, meanwhile, the method adapts to tunnel engineering of different surrounding rock grades, the problem that in traditional single-layer lining, shearing force transmission between a primary support and a secondary lining is insufficient is solved, an innovative solution is provided for tunnel lining structure design, and the method is worthy of popularization and application. The method has important engineering application value and popularization prospect.

The invention relates to the technical field of highway engineering construction, and discloses a joint cutting device and method for highway engineering.The joint cutting device comprises a moving platform, a through opening is formed in the center of the top of the moving platform, a movable plate is arranged at the through opening, and the front side and the rear side of the top of the moving platform are each provided with a linear module; the moving seats of the two groups of linear modules are fixedly connected with the outer side of the movable plate, the number of each group of linear modules is one or more, a joint cutting mechanism is arranged at the bottom of the movable plate, and anti-deviation steering mechanisms are arranged at the four corners of the bottom of the moving platform. Through a positioning structure of the deviation-preventing steering mechanism, the steering angle of the wheels is accurate and controllable, the problems of deviation and uneven depth in the joint cutting process can be effectively solved by matching with the stable lifting function of the linear module, and particularly in long-distance parallel joint cutting construction, it can be guaranteed that all cut joints are kept parallel and uniform in specification, the construction quality is improved, and the construction cost is reduced. And the joint cutting precision is obviously improved.

The invention relates to the technical field of highway engineering, in particular to a method for predicting the dynamic resilience modulus of coarse-grained soil based on static index and dynamic modulus conversion, which specifically comprises the following steps of: testing various different types of roadbed soil samples to be tested; obtaining dynamic and static rebound modulus values of each subgrade soil sample under the conditions of optimal moisture content and set compaction degree and a relation between the dynamic rebound modulus value and CBR; establishing a dynamic and static modulus conversion equation; performing linearization processing on the dynamic and static modulus conversion equation, constructing a matrix equation based on a linearization processing result, solving the matrix equation by adopting a least square method to obtain regression constants k1, k2, k3 and k4, and substituting the regression constants into the dynamic and static modulus conversion equation; and constructing an equation by using the coarse-grained soil dynamic rebound modulus and the CBR value, and solving an equation regression constant to obtain a coarse-grained soil dynamic rebound modulus prediction formula. The problems that in the prior art, an existing conversion relation mechanism is insufficient in consideration, sample representativeness is limited, and the model generalization ability is weak are solved.

The invention relates to the technical field of highway engineering digital management and artificial intelligence, and provides a highway engineering drawing, quantity and price integrated cost compilation method and system based on AI enhancement. The method comprises the steps of obtaining a to-be-processed design drawing; based on AI multi-modal recognition capability, processing the input design drawing, and performing automatic extraction, calculation and cleaning to form a multi-level engineering quantity combination data set based on standard EBS classification and coding; automatically associating the project amount combination data set to a budget cost project, a list sub-item or a quota sub-item based on a rule engine, and generating cost data of each stage according to different compilation depths and data category requirements of cost of different stages; performing penetration or backtracking on data of each link from input to output, and generating a graph, quantity and price integrated management framework; and when the design drawing is changed, updating the related engineering quantity combination data set and the cost number based on the drawing, quantity and price integrated management framework so as to generate standardized cost data and reports.

The utility model relates to the technical field of highway engineering, in particular to a soft soil foundation reinforcing structure. The structure comprises a roadbed, a soft soil layer is arranged below the roadbed, slope toe lines are arranged on the two sides of the roadbed, and the structure further comprises continuous anti-seepage walls, jet grouting piles and a shallow solidification layer, and the longitudinal continuous anti-seepage walls are arranged on the inner sides of the slope toe lines on the two sides of the roadbed; continuous anti-seepage walls are further arranged between the longitudinal continuous anti-seepage walls in the cross section direction of the roadbed to form rectangular continuous anti-seepage wall sections, the depth of the continuous anti-seepage walls enters the impermeable layer, jet grouting piles are arranged on the soft soil layer in the rectangular continuous anti-seepage wall sections, a shallow solidification layer is arranged below the roadbed, and the shallow solidification layer is arranged in the roadbed. Therefore, the box-type soft soil foundation reinforcing structure is formed. The product can reduce the overall construction cost, and can achieve a better soft soil foundation treatment effect at the same time.

The utility model relates to a sampling device for highway engineering test detection, and belongs to the technical field of highway engineering. The sampling device for highway engineering test detection comprises a bottom plate and a sampling piece arranged above the bottom plate, the anti-seismic assembly is arranged on the surface of the sampling barrel of the sampling piece; wherein the anti-seismic assembly comprises an anti-seismic cover arranged on the surface of a sampling barrel in the sampling piece, and a fulcrum is arranged below the anti-seismic cover; by arranging the anti-seismic assembly on the surface of the sleeve, when the sampling barrel descends and samples, the anti-seismic cover and a plurality of fulcrums are utilized, so that the sampling barrel can be supported and kept stable, and meanwhile, vibration force generated when the sampling barrel and a road surface rotate at a high speed can be counteracted in a multi-point manner; the problem that the tightness of a sample in the sampling barrel is influenced by resonance between the sampling barrel and other structures due to vibration generated by the sampling barrel during sampling can be effectively prevented.

The utility model relates to the technical field of highway engineering detection, and discloses a highway soil condition detection device which comprises a base, the periphery of the upper portion of the base is fixedly connected with limiting columns, the front portions of the two front limiting columns are fixedly connected with base plates, and the upper portions of the base plates are fixedly connected with double-end motors. The output end of the double-end motor is fixedly connected with one ends of rotating shafts, the other ends of the two rotating shafts are fixedly connected with driving gears, one sides of the two driving gears are connected with driven gears in an engaged mode, and transmission rods are fixedly connected into the two driven gears. According to the soil sampling device, soil can be automatically collected, the sampling speed can be greatly increased, the time needed by manual operation is shortened, the device can be effectively fixed, solid support can be provided for detection equipment, and the stability of the whole device is improved.

The application discloses a high-viscosity recycled asphalt mortar based on oil-rich RAP fine materials and a preparation method thereof, and belongs to the technical field of highway engineering materials. The high-viscosity recycled asphalt mortar comprises the following components: oil-rich RAP fine materials, base asphalt, a high-viscosity modifier, a recycling agent and a dissolving agent. The high-viscosity modifier comprises the following components: waste tire rubber powder grafted with GMA (glycidyl methacrylate), BMI (bismaleimide), an adhesive, isooctanol polyoxyethylene ether and sulfur. The waste tire rubber powder grafted with GMA can improve the interfacial bonding strength of the oil-rich RAP fine materials and the base asphalt, thereby improving the water damage resistance of the recycled asphalt mixture. The BMI forms an interpenetrating structure (crosslinking network) among the rubber powder, the oil-rich RAP fine materials and the base asphalt, thereby improving the crack resistance of the recycled asphalt mixture.

The utility model discloses a highway engineering maintenance device, which relates to the technical field of highway engineering and comprises a base station, an ash storage cylinder is fixedly connected to the right position of the middle of the upper side of the base station, and a water storage barrel is fixedly connected to the right position of the upper side of the base station. The front side and the rear side of the base table are rotationally connected with two side blocking mechanisms which are symmetrically distributed front and back, the inner side of the base table is movably sleeved with a turnover mechanism, a sweeping mechanism is movably installed on the lower side of the turnover mechanism, and each side blocking mechanism comprises a rotating plate; the left side and the right side of the rotating plate are rotationally connected to the positions, close to the left side and the right side, of the lower sides of the front side and the rear side of the base. According to the highway engineering maintenance device, under the action of the rotating plate and the extending plate, the front side and the rear side of the base table are blocked, raised dust generated during operation of the sweeping mechanism cannot fly out of the front side and the rear side, the problem that workers have difficulty in breathing is solved, and meanwhile the rotating plate and the extending plate can be fixed to be stable in state.

The invention belongs to the field of highway engineering detection, and particularly discloses a pavement compactness detection device and method for highway construction, and the device comprises a cross rod, and a plurality of detection mechanisms are arranged on the cross rod and a connecting frame; the detection mechanism comprises a sleeve arranged on the cross rod and the connecting frame, a lifting rod is movably arranged in the sleeve, and a labeling mechanism is arranged on the lifting rod; the marking mechanism comprises a lantern ring and a first gear ring which are arranged on the lifting rod, the upper surface of the lantern ring is obliquely arranged, a plurality of movable rods are movably arranged in the lantern ring, marking pens are arranged at the bottoms of the movable rods, balls are movably arranged on the movable rods, and the balls make contact with the upper surface of the lantern ring; automatic color marking of different compaction degree grades is achieved through linkage of the lantern ring, the gear ring set and the marking pen; visualization of compaction degree distribution is achieved, constructors can conveniently and rapidly position a problem area, the construction process is optimized, and the later maintenance cost is reduced.

The utility model discloses a highway engineering environment-friendly dust fall device in the technical field of highway engineering environment-friendly dust fall, which comprises a first module, a high-pressure spray head is fixedly mounted right in front of the first module, and a secondary branch water pipe is arranged beside the high-pressure spray head. The right side of the first module is axially connected and provided with the first rotating shaft, the right right side of the first rotating shaft is axially connected and provided with the rotating disc, the rotating disc is provided with a plurality of pits, and each pit is provided with a protruding reverse groove. A secondary branch water pipe separated from a high-pressure nozzle sprays water to drive the rotating disc to rotate, the first module is driven to rotate, the second module rotates in the reverse direction of a mirror image of the first module, all-directional dust falling is achieved, an external wire is not needed for power supply in the whole process, the purpose of getting rid of power dependence is achieved, and energy consumption and wiring cost are reduced. And the device can be flexibly deployed in an area without power supply and can be widely applied to various highway engineering scenes.

The application discloses a kind of highway engineering construction remote material abnormal management method, it is related to material management technical field, including the following steps: acquisition material information parameter is analyzed, obtains analysis result and carries out abnormal identification, exports abnormal identification result, triggers response mechanism to abnormal identification result, carries out automatic early warning, and provides corresponding disposal scheme to carry out abnormal processing, exports processing result and records, by constructing whole-process digital highway engineering construction remote material abnormal management system, solve traditional management multiple problems, integrate multi-source data automatic error correction and generate accurate data, with the help of spatiotemporal dimension cross validation and construction process compliance analysis, combined with preset abnormal feature combination library captures complex risk, adopts hierarchical response and mapping table to realize differentiated early warning, through the use check and block chain storage certificate to ensure responsibility, disposal combines template optimization and double verification to form closed loop, reduce risk, improve management intelligent and fine level.

The utility model discloses a highway engineering prefabricated reinforcement cage temporary hoisting device which comprises a main body assembly, a supporting plate, a fixing column, a supporting piece, a fixing plate, a first driving piece, a first limiting piece, a guiding piece, a mounting frame, a first spring, a connecting block and a clamping plate. The steel reinforcement cage mounting frame has the advantages that the mounting frame can be conveniently mounted by arranging the fixing plate, the first spring can be conveniently mounted by arranging the mounting frame, self-adaptive adjustment can be conveniently carried out on different steel reinforcement cages by arranging the first spring, the clamping plate can be conveniently mounted by arranging the connecting block, and the clamping plate can be conveniently mounted by arranging the clamping plate. And a second motor is arranged, so that a connecting frame can be conveniently driven to move, then a second limiting block is driven to move, the reinforcement cage is supported after the reinforcement cage is lowered to a proper position, and thus the reinforcement cage is conveniently disassembled.