75 results about "Road surface temperature" patented technology

The invention relates to the technical field of road surface detection, in particular to a road surface skid resistance detection system based on multi-feature fusion, which comprises the following steps: applying broadband sweep frequency excitation by using a frequency modulation vibration sensor, matching with the inherent frequency of road surface texture to generate local resonance, and collecting the temperature, humidity and rainfall of a road surface in real time; performing fast Fourier transform on the collected vibration signals to obtain a resonance response spectrum, extracting key parameters through Gaussian fitting, and fusing frequency domain, material and environment data to form a comprehensive feature set; the frequency domain features are converted into three-dimensional energy distribution of pavement microtextures, the actual contact area ratio is calculated according to the three-dimensional energy distribution, an environment temperature and humidity compensation factor is introduced, and a dynamic friction attenuation coefficient is calculated; and comparing the calculated dynamic friction attenuation coefficient with a third-level safety threshold, and outputting a corresponding anti-skid performance level. Multi-source data fusion enables a detection result to be more fit with an actual driving scene, and misjudgment caused by single data is avoided.

The invention relates to a digital twinning fused material-equipment collaborative crack repair design method and equipment, and the method comprises the following steps: building an electromagnetic-thermal field coupling model, and obtaining pavement temperature field distribution, the electromagnetic-thermal field coupling model being a system combining microwave heating equipment, an asphalt pavement, a crack and a repair material; based on the mapping relation between the pavement temperature and the dynamic modulus, a pavement compaction model under the action of a road roller is established through finite element simulation; actual pavement parameters are obtained, a key parameter combination of a crack repairing material and microwave heating equipment is inversely optimized according to the pavement compaction model, and the key parameter combination comprises an electromagnetic loss parameter E, heating power W, heating width b and heating time t; and designing a crack repairing material and microwave heating equipment based on the final optimized key parameter combination. Compared with the prior art, the method has the advantages of accurate repair, convenient construction, high repair efficiency, small environmental disturbance and the like.

The invention relates to a tunnel portal road icing early warning method based on digital twinning, and the method comprises the steps: generating a clean data set through integrating rock mass fracture, underground water level and meteorological monitoring data; filling the monitoring blind area based on the spatial self-correlation weight to form a dynamic water seepage distribution diagram; combining laser radar point cloud data to construct a freezing early warning digital twinborn body, and dynamically mapping a rock mass fracture network and water seepage space distribution; and finally, inputting the real-time weather and the road surface temperature field into the twinborn body, quantifying the icing probability of the tunnel portal pavement microporous structure through a thermodynamic model, and generating an icing risk spatial distribution diagram. The method solves the core defects of geology and tunnel portal road monitoring splitting, three-dimensional space perception deficiency, response lag and insufficient probability quantification in traditional early warning, realizes whole-process dynamic early warning from rock mass water seepage migration to road surface ice coagulation, improves the identification precision and response speed of tunnel portal road sudden ice coagulation risk, and improves the early warning efficiency. And a reliable basis is provided for intelligent traffic decision making.

The invention relates to the technical field of intelligent traffic, and discloses a traffic operation state sensing method and system, computer equipment and a storage medium, and the method comprises the following steps: S1, multi-modal data collection: collecting multi-source data through a roadside meteorological station, a millimeter wave radar and an anti-fog camera, the multi-source data comprising meteorological parameters, vehicle motion trails and video streams; s2, meteorological parameter dynamic compensation: dynamically calculating a weather sensitivity coefficient based on real-time meteorological data, the meteorological data including visibility, rainfall intensity and road surface temperature; s3, performing deep learning visual compensation; s4, performing multi-scale risk prediction; and S5, edge 5G real-time early warning is carried out. According to the method, through chained processing of meteorological parameter dynamic compensation and deep learning visual compensation, the influence of climate on traffic perception is quantified, visual errors caused by weather are dynamically compensated, the traffic operation state is rapidly and accurately perceived under the complex climate condition, the traffic safety and the traffic efficiency are improved, and the vehicle prediction accuracy is improved.

The invention discloses a pavement adhesion coefficient estimation method and system based on multiple modes, and relates to the technical field of pavement recognition. The invention aims to solve the problem of low accuracy of the current road adhesion coefficient acquisition method. The method comprises the following steps: acquiring visual information and non-visual information of a pavement to be detected; inputting the visual information and the non-visual information of the pavement to be detected into the pavement state recognition model to obtain a pavement state; and obtaining a mean value and a variance of the road adhesion coefficient estimation value according to the road state and the to-be-measured road temperature. The pavement adhesion coefficient estimation system based on multiple modes comprises a power supply, a processor, a temperature sensor, a GPS positioner, an RTK measurer and a camera, and the processor is used for operating the road adhesion coefficient estimation method based on multiple modes. The method is used for estimating the road adhesion coefficient.

1. The name of the design product: integrated traffic meteorological monitor. 2. The use of the design product: for measuring visibility, road conditions, road temperature, wet slip coefficient, air temperature, relative humidity, wind speed, wind direction, air pressure, rainfall and other data. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The application discloses a kind of high-temperature phase change cooling-self-repairing dual-function microcapsules and its application, belong to intelligent road material field.The preparation method of the microcapsule includes: high-temperature phase change core material, aromatic oil asphalt regenerant and polyisocyanate compound are mixed to prepare oil phase;Afterwards, the oil phase is added to aqueous phase, and after mixing, it is reacted under the condition of 60~70 DEG C, after reaction is completed, the precipitate is collected, and the precipitate is washed with water and ethanol, and then dried to obtain the microcapsule;The preparation of the high-temperature phase change core material includes: mixing tricosane and tetracosane under the condition of 60~70 DEG C, and then cooling to room temperature to obtain high-temperature phase change core material;The aqueous phase is non-ionic emulsifier aqueous solution.The application effectively reduces the temperature of pavement by phase change endothermic, and relieves rut and aging;At the same time, the regenerant in core material can be released when crack occurs, to realize self-repairing.The application significantly improves the rut resistance, durability and service life of asphalt pavement in high-temperature area.

The application relates to the technical field of road snow-melting and ice-melting, in particular to a snow-melting and ice-melting system and a construction method, the snow-melting and ice-melting system comprising a temperature measuring optical fiber, a DTS host, a control end, a temperature raising device and a water storage device; the temperature measuring optical fiber is laid on the upper layer of a road surface to realize real-time detection of the temperature of the road surface on the path; the temperature raising device is arranged between the road surface and a road surface heat preservation layer, the temperature raising device comprises a water inlet and a water outlet which are communicated with an inner chamber of the temperature raising device; the water storage device is connected with the water inlet and the water outlet; a signal input end of the DTS host is connected with the temperature measuring optical fiber, and a signal output end is connected with the control end; when the temperature value of the temperature measuring optical fiber obtained by the DTS host reaches an icing temperature boundary value, a temperature raising signal is sent to the control end, and the control end controls the water storage device to circulate and pass in hot conductive water into the chamber according to the temperature raising signal. The snow-melting and ice-melting system and the construction method solve the problems that the existing road snow-melting and ice-melting mode has poor effect and causes environmental pollution.

The invention relates to the technical field of desert road cooling, discloses a desert road self-temperature-sensing type spraying cooling system based on radiation refrigeration water supply, and aims to solve the problems that a traditional cooling technology depends on an external water source, water resources are wasted, and accuracy is insufficient. The system comprises a water supply module, a temperature detection module, a data processing module and a spray cooling module, wherein the water supply module is combined with day and night temperature difference condensation through a radiation refrigeration assembly at the top of a guardrail stand column and is led to a water storage assembly for water storage through a road shoulder water guide assembly; the temperature detection module collects pavement temperature through sensors on two sides of a road; the data collector receives temperature data and transmits the temperature data to the temperature judgment system, and the water storage assembly and the spraying assemblies on the two sides of the road are started after high temperature is judged; the spraying assembly sprays water for cooling in a targeted mode. According to the scheme, autonomous supply of water resources and accurate cooling are achieved, the operation safety of the desert road is improved, and resources and cost are saved.

The application relates to a vehicle-mounted highway traffic meteorological detection system which comprises a meteorological detection module, a road condition inspection module, a video image acquisition module, a network communication module, a main control module, a display module and a power supply module; the meteorological detection module is used for fixed-point detection of meteorological elements when visibility obstacles such as rain and fog occur; the road condition inspection module is used for mobile detection of road surface conditions, road surface temperature and position coordinates; the video image acquisition module is used for acquisition of on-site images; the network communication module is used for data exchange and transmission; the display module is used for display of various types of data of the system; the main control module is used for control of working states of various module sub-devices and processing and storage of data; and the power supply system is used for power supply of various modules. The application realizes quick integration of traffic meteorological mobile detection data into an existing meteorological business information network through vehicle mechanical deployment, and can be applied to road traffic severe weather monitoring and early warning, meteorological emergency guarantee service and scientific experimental research.

The application discloses a highway pavement temperature inversion method and system fusing meteorological and traffic information, and the method comprises the following steps: acquiring meteorological information and traffic information of a target highway section, performing time synchronization, space matching and preprocessing on multi-source data, and constructing an inversion input dataset; performing feature extraction on meteorological information, road category information and traffic time series information based on a multi-input branch neural network, comprehensively processing in a fusion layer, and establishing a pavement temperature inversion model; introducing a physical loss function with embedded energy balance constraints in the model training process to enhance the physical consistency of the inversion result; and using the trained model to perform inversion calculation on the pavement temperature of the target section at the corresponding time. The method can comprehensively consider the differences between meteorological conditions and road operating environments, improve the accuracy and stability of pavement temperature inversion, and is suitable for highway pavement temperature monitoring and traffic safety guarantee.

The invention provides an expressway surface low-temperature ice condition short-term forecasting method and system, and relates to the technical field of road surface temperature forecasting, and the method comprises the steps: obtaining a mesoscale numerical forecasting product, and providing basic meteorological data of an expressway; performing spatial interpolation and preprocessing on the basic meteorological data by adopting a bilinear interpolation method to form road surface meteorological data; establishing a meteorological parameterized model, and converting the road surface meteorological data into road surface meteorological parameters; calculating the road surface heat flux according to the road surface meteorological parameters through an earth surface heat balance equation; a road surface temperature hourly forecasting model is constructed, the current road surface temperature is obtained, a road surface temperature hourly forecasting value is calculated through derivation by means of a thermodynamic equation in combination with road surface heat flux, and a road surface low-temperature ice condition short-term forecasting result is generated in combination with a continuous road temperature inversion model based on a thermal spectrum map, so that a road surface low-temperature ice condition forecasting result is obtained through an energy conservation method and a refined parameterization scheme. And the accuracy and timeliness of short-term forecasting of the low-temperature ice condition of the expressway surface in a complex environment are remarkably improved.

The present invention relates to a method for predicting the expected road surface temperature for at least one road section, in which the surface temperature of the road surface in the road section is measured via at least one sensor, ambient environmental information is associated with the measurement and transmitted to the backend along with the surface temperature, and the relationship between the ambient environmental information and the surface temperature is learned by machine learning, thereby enabling the estimation of the expected road surface temperature. According to the present invention, a range including the maximum and minimum possible road surface temperatures that can occur depending on the location is generated as an output value.

The present application relates to the technical field of computer-aided design, in particular to a road surface material construction state remote communication monitoring system, the system comprises: a construction environment sensing module collects voltage and pulse signals and converts them into road surface temperature and wind speed to construct a monitoring data set, a heat flux dynamic calculation module generates a convective heat transfer coefficient in combination with the wind speed and calculates the surface heat dissipation flux, an internal state deduction module constructs a virtual grid model and configures material parameters, calculates the heat energy exchange amount of the nodes according to the heat dissipation flux to generate a core temperature gradient sequence, and a construction window monitoring module extracts the central node temperature, and if it is less than a threshold value, a stop rolling pre-warning instruction is generated. In the present application, the internal heat energy exchange is deduced by constructing a virtual grid model, deep analysis from surface data to core temperature is realized, the problem that the internal state cannot be grasped only by surface monitoring is solved, the compaction operation timing is accurately controlled, and the road surface forming quality is significantly improved.

The application discloses a kind of for thin surface layer asphalt pavement structure modulus inversion method, it is related to road engineering technical field.The related information and initial population of the present application are obtained, the modulus and speed of particle in population are initialized, the interlayer stiffness coordination coefficient calculation method is determined, interlayer stiffness coordination coefficient value is calculated using pavement structure information and road surface temperature, the fitness of each particle in population is evaluated in combination with pavement structure information and road surface deflection basin information, the fitness of optimal individual in population and corresponding modulus are determined, initial temperature is calculated, the fitness of each particle is compared with individual historical optimal fitness, individual historical optimal and group historical optimal are updated, the group learning object of particle is determined and the velocity and modulus of each particle are updated, the fitness of each particle is recalculated, optimal solution accuracy is updated again, and each structure layer modulus is output.The present application can accurately obtain thin surface layer asphalt pavement structure inversion solution.

This invention relates to the field of road engineering materials technology and discloses a low-temperature sensitive lightweight aggregate asphalt concrete and its preparation method. The asphalt concrete comprises asphalt binder, coarse aggregate, fine aggregate, mineral filler, and composite phase change lightweight aggregate. The key to its preparation lies in: firstly, impregnating a phase change energy storage medium (such as paraffin wax or fatty acids) into a porous carrier material (such as silica or diatomaceous earth) to form a shaped composite phase change material; then, loading this material into the pores of a porous lightweight matrix aggregate (such as expanded shale) using a vacuum impregnation method to form the composite phase change lightweight aggregate; finally, incorporating this aggregate as a functional component into the asphalt mixture. The phase change material in this composite aggregate undergoes a phase change when the road surface temperature changes, absorbing heat at high temperatures and releasing heat at low temperatures, effectively regulating the road surface temperature field, thereby significantly improving the high-temperature rutting resistance, low-temperature crack resistance, and temperature stability of the asphalt concrete, and extending the service life of the road surface.

The present invention relates to asphalt roads, and more particularly to an asphalt road that can reduce road surface temperature. The road is paved using the following method: a roadbed and a cushion layer are laid; a base layer is laid by adding 1-2% flaky graphite powder to the base material, mixing uniformly, and compacting the layers in layers; and a surface layer is laid by adding 0.5-1% flaky aluminum powder and 1-2% flaky graphite powder to the asphalt material, mixing uniformly, and then laying the asphalt layer. The flaky aluminum powder and flaky graphite powder of the present invention can more quickly transfer heat absorbed by the surface layer to the base layer, and the flaky aluminum powder and flaky graphite powder can partially reflect sunlight, thereby effectively reducing the road temperature, extending the service life of the asphalt road, and reducing maintenance costs.

The present invention provides a pavement temperature monitoring method, device, and equipment based on road meteorological analysis, comprising: step 1, obtaining material property information, measured meteorological data, and measured pavement temperature values ​​corresponding to the road surface to be monitored to construct a training data set for a neural network model; step 2, correcting the initial pavement temperature; step 3, determining the pavement temperature of the road surface to be monitored after heating and cooling based on the corrected initial pavement temperature and the training data set using a multi-factor heat conversion formula configured within the neural network model; step 4, correcting the model parameters of the training data set and the neural network model based on the heated and cooled pavement temperature and the measured pavement temperature values; and step 5, repeating steps 1 to 4 until the neural network model training is completed. The present invention not only significantly improves the stability and accuracy of pavement temperature monitoring, but also effectively reduces the cost and technical requirements required for pavement temperature monitoring.

The present application relates to a kind of winter asphalt pavement surface temperature prediction method based on integrated deep learning, belong to highway traffic meteorological monitoring technical field.The method includes: according to correlation coefficient method and expert knowledge, the meteorological factor that is accumulated to the road surface temperature Influence is selected;Sliding window method is used to cut time series data, and supervised learning sample is constructed;Supervised learning sample is obtained, and the winter asphalt pavement surface temperature prediction model of integrated deep learning is trained;Winter asphalt pavement surface temperature prediction method based on integrated deep learning includes with LSTM neural network module, GRU neural network module, feature fusion layer and fully connected layer;The trained model is used to predict hourly pavement surface temperature.The present application is through the cumulative influence of the integration of deep learning network of multi-dimensional meteorological factor and pavement surface temperature periodicity, improves the accuracy and robustness of pavement surface temperature, with data-driven, self-learning, multi-granularity prediction and other technical characteristics.

The invention discloses a method for determining a service temperature domain of each structural layer of a full-thickness LSAM-50 pavement, which comprises the following steps: firstly, determining a'surface layer + binding layer + flexible base layer 'full-thickness structure of the pavement, collecting hourly air temperature and solar radiation data, and classifying according to day and night; calculating the temperature of each time point of the surface layer through a road surface temperature model, and counting an extreme value to determine a surface layer temperature domain; combining meteorological data and road surface temperature, segmentally calculating temperatures of the top and the bottom of the junction layer and the shallow layer and the deep layer of the flexible base layer, and respectively counting extreme values to determine a temperature domain of a corresponding layer; according to the method, fine analysis of the full-depth temperature field of the full-thickness LSAM-50 pavement is realized for the first time through structure layering, data classification and segmented modeling, accurate temperature boundary conditions are provided for material selection, full-thickness structure thickness design and maintenance decision, the disease risk and engineering cost caused by misalignment of full-thickness temperature parameters are effectively reduced, and the method is suitable for large-scale popularization and application of the full-depth temperature field of the full-thickness LSAM-50 pavement. And the method has remarkable engineering application value and technical innovation.

The invention provides a highway subgrade pavement strength detection device. The highway subgrade pavement strength detection device comprises a beam body. According to the highway subgrade pavement strength detection device provided by the invention, a telescopic column is arranged to adapt to an undulating pavement so as to avoid suspension or overpressure of a detection probe, two second push plates are arranged to cooperate with a leveling spring, so that traditional hard contact limiting is avoided, wind power is inhibited from influencing shaking of a beam body, and reading distortion of a dial indicator is avoided; the accuracy of deflection value detection is affected, the height of the dial indicator can be freely adjusted by arranging the fastening piece to better adapt to the height of the beam body, the measuring head is arranged to be stored in the beam body when not used for detection, and the measuring head is rotationally contacted with the road surface during detection, so that the situation that the measuring head is exposed in the environment, damaged and deformed to easily cause inaccurate detection results is avoided, and the detection accuracy is improved. The temperature sensor is arranged to detect the road surface temperature, and the temperature display is used for a worker to read and record the temperature of a detection site so as to correct data measured by the dial indicator.

The invention relates to the technical field of computer aided design, in particular to a pavement material construction state remote communication monitoring system, which comprises a construction environment sensing module, a data processing module, a data processing module and a data processing module, the heat flux dynamic calculation module generates a convective heat transfer coefficient in combination with wind speed and calculates surface heat dissipation flux, the internal state deduction module constructs a virtual grid model and configures material parameters, node heat energy exchange capacity is calculated according to the heat dissipation flux so as to generate a core temperature gradient sequence, and the construction window monitoring module extracts the temperature of a center node; if yes, a rolling stopping early warning instruction is generated. According to the method, internal heat energy exchange is deduced by constructing the virtual grid model, deep analysis from surface data to the core temperature is achieved, the problem that the internal state cannot be mastered only through surface monitoring is solved, the compaction operation opportunity is accurately controlled, and the pavement forming quality is remarkably improved.

The invention discloses an LSAM-50 pavement temperature-time probability distribution construction method based on an EM-GMM algorithm, which flexibly describes single-peak, double-peak and three-peak distribution through linear combination of a plurality of Gaussian components in a Gaussian mixture model (GMM), and performs iterative optimization on parameters such as a mean value, a variance and a weight in combination with an expectation maximization algorithm (EM). And the fitting precision of complex multi-peak data is obviously improved. Meanwhile, Kolmogorov-Smirnov (K-S) test is introduced to quantitatively verify the model fitting effect, it is ensured that a cumulative distribution function (CDF) is highly matched with measured data, and accurate modeling of monthly and annual scale multimodal temperature distribution is achieved. According to the method, the certainty limitation of a traditional model is broken through, refined data containing the temperature occurrence probability is provided for LSAM-50 pavement design, construction time selection, maintenance strategy making and material performance optimization can be effectively guided, and the technical blank of complex multi-peak distribution probabilistic description in the field of road engineering is filled up.

The invention discloses a solar intelligent demisting, deicing and warning all-in-one machine for a road surface. The all-in-one machine comprises a solar power supply and energy storage module; a multi-sensor fusion detection module (temperature and humidity, visibility, road surface temperature and icing); a PTC hot air demisting and ice melting execution module; an automatic warning yellow light module; a 4G / 5G remote data and video return module; the equipment collects environmental parameters in real time, when fog or road icing is judged, hot air and a warning lamp are automatically turned on, data and pictures are uploaded to a control center at the same time, and full-automatic, unattended and large-range networking road safety guarantee is achieved.

The invention relates to the technical field of road asphalt pavement maintenance, in particular to a low-carbon fine thin hot paving overlay integrated maintenance process which comprises the following steps: 1, heating the surface layer of an old pavement, and monitoring the heating temperature; the heating temperature is 170 + / -5 DEG C; 2, the heated disease layer is stripped, foreign matter on the stripped surface layer is cleaned, and after the disease layer is stripped, the temperature of the remaining old pavement is 150 + / -5 DEG C; 3, immediately paving a new asphalt mixture on the peeled clean and hot-state interface, and controlling the loose paving thickness through a loose paving coefficient; fourthly, the paved road surface is compacted in a stepped mode; and step 5, carrying out spot check on the pavement subjected to stepped compaction, detecting indexes such as compactness, a water seepage coefficient, a structural depth, a swing value and a transverse force coefficient SFC of the pavement, and judging whether the maintained pavement meets the standard or not. The maintenance process provided by the invention has the advantages that the construction speed is high, disease treatment, interface activation and overlay paving are synchronously completed, and long-acting and stable recovery of the surface performance of the aged pavement is facilitated.

The invention provides a temperature control method and device for a low-temperature test road, and the method comprises the steps: regulating and controlling the cold plate power of each wheel track unit based on the test requirement of a continuous test task for the road surface temperature, and determining a target wheel track unit corresponding to the test task based on the test range of the test task of a current test vehicle, and determining an associated wheel track unit corresponding to the associated test task based on the test range of the associated test task, and in the test process of the current test vehicle, determining the associated wheel track unit. Determining a thermal disturbance unit in the target wheel track unit based on the target wheel track unit, the associated wheel track unit, the real-time planned path of the current test vehicle in the future preset time period and the historical path of the vehicle corresponding to the associated test task in the past preset time period, according to the method, the temperature influence value of the associated test task on the thermal disturbance unit and the additional cooling capacity demand are determined, so that the cold plate power of the thermal disturbance unit is adjusted based on the additional cooling capacity demand, and the road surface can be maintained at the uniform target temperature in a multi-vehicle continuous test scene.

The application relates to a material-equipment collaborative crack repair design method and equipment based on fusion digital twinning, and the method comprises the following steps: establishing an electromagnetic-thermal field coupling model to obtain a pavement temperature field distribution, the electromagnetic-thermal field coupling model being a system combined by a microwave heating device, an asphalt pavement, a crack and a repair material; based on the mapping relationship between the pavement temperature and the dynamic modulus, a pavement compaction model under the action of a road roller is established through finite element simulation; actual pavement parameters are obtained, and the key parameter combination of the crack repair material and the microwave heating device is inversed and optimized according to the pavement compaction model, the key parameter combination comprising an electromagnetic loss parameter E, a heating power W, a heating width b and a heating time t; and the crack repair material and the microwave heating device are designed based on the finally selected key parameter combination. Compared with the prior art, the application has the advantages of precise repair, convenient construction, high repair efficiency, small environmental disturbance and the like.

The utility model discloses a temperature monitoring and early warning device for an asphalt pavement. The temperature monitoring and early warning device comprises a mounting seat, a traction piece, a road detector, a power supply board, a marking device, an early warning device and a monitoring sensor, the marking device is arranged, the infusion pump is started to pump pigment into the liquid injection disc, so that the liquid injection disc can store the pigment, it is guaranteed that the liquid injection disc can provide the pigment for the marking mechanism, a problem road section is marked through the marking mechanism, a worker can quickly find a defective road section, and the working efficiency is improved. Defect omission caused by insufficient light is avoided, the marking device is matched with the road tester to operate, the marking device can mark a striking maintenance mark in real time, the situation that road sections are omissed in the follow-up road section maintenance process of road administration personnel is avoided, and the problem that in original equipment, due to time change, the maintenance time is shortened is solved. The problem that some defects are not striking enough and missing defects exist due to the fact that the intensity of light rays goes by time is solved.