145 results about "Road surface temperature" patented technology

The invention discloses a highway pavement temperature forecasting method based on physical constraints, which comprises the following steps of: collecting and preprocessing meteorological data of all stations in a region, historical observation data of pavement temperature and geographic data, and adding time information to construct time features; building a U-net neural network model, carrying out space field data correction on the multi-station multi-meteorological element forecast data, and outputting corrected meteorological data of each station; constructing a bidirectional LSTM network on the basis of the U-net model, processing time sequence data, and evaluating and optimizing model performance by using a loss function; physical constraints including the time relation of temperature change, seasonal and day and night change characteristics, material thermal characteristics, a thermal balance equation and the like are added into the model, and a model result is optimized; and evaluating the generalization ability and forecasting precision of the model by using a test set, and finely adjusting model parameters. According to the method, the precision and reliability of road surface temperature prediction are remarkably improved, and a reliable basis is provided for traffic management and safety early warning.

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 discloses a data-mechanism fused airport runway surface water and ice condition prediction method. The method comprises the following steps: establishing a theoretical model of a runway surface temperature field and a water and ice condition; thermal parameter inversion is carried out on the theoretical model based on actually measured data, and a dynamic theoretical model adapted to an actual application scene is obtained through multi-time iteration optimization of model parameters; and utilizing the fused time sequence data and the dynamic theoretical model to predict the water and ice condition on the surface of the airport runway, and providing dynamic evolution information of the icing process. According to the method, the problems of insufficient real-time performance and accuracy of runway icing prediction in the prior art are solved, the icing time, the ice layer thickness and the ice layer range of the runway surface can be accurately predicted, real-time deicing decision support is provided, and the runway operation safety and the airport operation efficiency are effectively improved.

The invention provides an asphalt pavement compactness detection method based on partial least squares regression, which comprises the following steps: acquiring a rolling acceleration signal of a vibratory roller to obtain an equifrequency component, and calculating a corresponding compactness value CMV; temperature data T of the asphalt pavement are collected, and the actual asphalt pavement temperature is obtained through calculation; positioning data of the vibratory roller are collected, and the rolling speed V of the roller is calculated; the method comprises the following steps: performing interpolation on a CMV calculation abnormal point caused by the change of the working state of a road roller, and estimating an actual CMV value of the CMV abnormal point by calculating an average value of a plurality of known CMV values near a target point by adopting a moving average method based on the integrity of an asphalt pavement; and carrying out partial least square regression on the equifrequency component, CMV, T and V variables. The method is a nondestructive testing method, comprehensive and accurate compaction degree evaluation is provided, the compaction state of the asphalt pavement is sensed in advance, and compaction degree detection errors caused by change of the working state of a road roller are eliminated.

The invention discloses a pavement temperature field parameter inversion and data fusion method, and the method comprises the steps: building a pavement temperature field solving partial differential equation based on a heat conduction theory; representing an initial condition, a boundary condition and a measuring point temperature of a pavement temperature field based on an interpolation algorithm; normalizing the solution domain, generating sampling point coordinates at the pavement temperature solution domain and the boundary based on a random sampling method, and taking the sampling point coordinates as input variables of the deep neural network; based on the coordinates of the sampling points, a normalized operator value of the sampling points is obtained in combination with a deep neural network and an automatic differential algorithm; combining initial conditions and boundary conditions, fusing actually measured temperature data, and constructing a total loss function of the deep neural network through a weighted summation method; and based on gradient descent and a total loss function, deep neural network training is carried out, adaptive sampling is carried out according to partial differential equation loss of the current neural network, and finally pavement temperature field prediction is realized. According to the invention, high-precision prediction of the pavement temperature field is realized.

The invention provides an auxiliary driving method for performing data fitting based on deep learning and related equipment, and relates to the field of automatic control. According to the method, a pavement spatio-temporal data set is determined by collecting historical pavement information, time points and pavement position coordinates; and then, on the basis of the pavement spatio-temporal data set, a pavement information data set including pavement temperature, humidity, wear state, pothole condition and repair record is taken as input data, after a pavement condition category label is determined, a deep learning model is obtained through training, and the model can output a pavement condition category matched with the input data. Then, real-time road surface information is obtained through a sensor and monitoring equipment, and the deep learning model is input to determine the type of the real-time road surface condition; finally, the automatic driving strategy of the target vehicle is adjusted according to the weather forecast condition, the vehicle tire data, the road surface real-time condition category and a preset automatic driving behavior optimization model, and therefore safer and more intelligent driving is achieved.

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 discloses a preparation method of a wide-temperature-range multistage phase-change temperature-adjusting asphalt mixture. The preparation method comprises the following steps: respectively preparing a plurality of different composite organic eutectic phase-change materials; a plurality of different composite organic eutectic phase-change materials are compounded according to different proportions to obtain the wide-temperature-range multistage phase-change material. The wide-temperature-range multi-stage phase-change material is doped into an asphalt mixture according to the mass ratio of 3%-5%, and the wide-temperature-range multi-stage phase-change temperature-adjusting asphalt mixture is formed. The wide-temperature-range multi-stage phase-change temperature-adjusting asphalt mixture disclosed by the invention can continuously play a phase-change heat storage function in a high-temperature environment in summer, and achieves the effects of delaying the pavement temperature change rate, reducing the pavement maximum temperature, delaying the daily maximum appearance time, reducing the pavement surface temperature and improving the pavement temperature. Therefore, the urban heat island effect can be relieved, and the pavement durability is prolonged.

The invention discloses a road surface temperature forecasting method based on numerical mode fusion deep learning. The method comprises the following steps: making a training set and a verification set based on multi-element forecasting data and observation data; based on the regional high-resolution multivariate underlying surface data, integrating to form a regional high-resolution multivariate underlying surface feature library with a unified scale; constructing a deep learning pavement temperature forecasting model based on an attention mechanism graph convolutional neural network, and performing model training by adopting a Gaussian weighted loss function; and by adopting the trained model, aiming at target time, based on numerical weather forecasting mode multi-element forecasting data and regional high-resolution multivariate underlying surface data, generating a road surface temperature forecasting result based on numerical mode fusion deep learning. According to the method, the problem of sample imbalance of pavement temperatures of different scales is effectively solved, the forecasting capability of the model for pavement temperature extreme values is enhanced, the accuracy of highway pavement temperature forecasting based on numerical mode fusion deep learning is improved, and the method has extremely high application value.

The utility model is suitable for the technical field of temperature detection, and provides an asphalt pavement temperature detection device, which comprises a protection box, an infrared thermal imager is arranged in the protection box in a sliding manner, and the bottom of the protection box is provided with a through hole for the infrared thermal imager to move; the banister brush is mounted in the protection box in a sliding manner; the installation box is fixedly installed on one side of the protection box, a rack is installed on the installation box in a sliding mode, one end of the rack is connected with the banister brush, a driving gear is rotatably installed in the installation box, the driving gear is meshed with the rack, a driving motor is fixedly installed on one side of the installation box, and the driving motor is fixedly installed on the other side of the installation box. And an output shaft of the driving motor is connected with the driving gear. According to the asphalt pavement temperature detection device, the infrared imaging technology is adopted, the temperature distribution condition of the whole pavement can be reflected, the lens of the thermal infrared imager can be cleaned, and the imaging effect is guaranteed.

The invention discloses a non-contact real-time high-precision road surface temperature acquisition system and method, and the system comprises an infrared sensor array which is used for collecting the temperature information of a road surface and underground at different depths; the edge computing node is used for carrying out primary processing on the temperature information data acquired by the infrared sensor array; the wireless communication module is used for realizing data communication between the edge computing node and the master control end; and the general control terminal is used for receiving the temperature data from each edge computing node, and storing, analyzing and managing the temperature data. Compared with the prior art, the asphalt pavement temperature monitoring system has the advantages that the asphalt pavement temperature monitoring system can monitor and accurately control the temperature of the asphalt pavement and the temperature within the range of 4 cm below the asphalt pavement in real time; asphalt aging or damage to raw material gradation caused by too high temperature is effectively avoided.

The present invention discloses a method and system for precise control of construction temperature of low-temperature modified asphalt, which relates to the field of road engineering, including: establishing a model of the influence of road surface temperature on asphalt, establishing a model of the influence of air temperature on asphalt; generating at least one asphalt control temperature; obtaining the actual temperature range of asphalt; using the asphalt control temperature included in the paving temperature requirement range of the actual temperature range of asphalt as the paving control temperature; using the asphalt control temperature included in the rolling temperature requirement range of the actual temperature range of asphalt as the rolling control temperature; and controlling the initial temperature of asphalt during paving and rolling. By setting a model building module, a temperature generation module, a data calculation module, a data classification module, and a temperature control module, the comprehensive influence of road surface and air temperature on asphalt is considered, and the construction temperature is completely controlled under the condition of limiting costs, so that the construction effect reaches the expected effect.

The invention discloses a pavement temperature prediction method, and relates to the technical field of temperature prediction. The method comprises the following steps: acquiring current meteorological data, topographic data and relative position of the sun of a pavement to be measured; determining an initial solar radiation flux and an initial long wave radiation flux of the pavement to be measured based on the current meteorological data; based on the topographic data and the relative position of the sun, determining whether the to-be-measured road surface is shielded by the surrounding topography, and determining a shielding factor of the to-be-measured road surface under the condition that the to-be-measured road surface is shielded by the surrounding topography; and correcting the initial solar radiation flux and the initial long-wave radiation flux based on the shielding factor, and determining a temperature prediction value of the to-be-measured pavement based on the corrected solar radiation flux, the corrected long-wave radiation flux and a preset heat balance formula. Therefore, the precision of mountain road temperature prediction is improved.

The invention discloses a liquid snow-melting agent spreading gear calculation method and device and a medium, and relates to the technical field of liquid snow-melting agent accurate spreading, the road surface temperature and the accumulated snow thickness of a road are obtained, the spreading gear of a liquid snow-melting agent is determined based on the road surface temperature and the accumulated snow thickness, and the spreading amount of the liquid snow-melting agent is determined through the spreading gear. On the basis of the spreading gear of the liquid snow-melting agent, the spraying unit of the spreading vehicle is controlled to spread the liquid snow-melting agent to the road, so that the spreading amount of the liquid snow-melting agent is determined on the basis of the road condition, accurate spreading of the liquid snow-melting agent is realized, and the situation that the road is damaged and the cost is increased due to excessive spreading amount of the liquid snow-melting agent is avoided; the spreading amount of the liquid snow-melting agent is too small, so that road snow removal is not thorough, the best snow removal effect can be achieved with the minimum liquid snow-melting agent, the spreading amount of the liquid snow-melting agent is reduced under the condition that the traffic safety of the road surface is guaranteed, the use cost of the liquid snow-melting agent is reduced, the snow removal effect is improved, and the snow removal cost is reduced.

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 snow melting and deicing method and system based on geothermal energy tunnel heat storage, and relates to the field of pavement of roads, in the method, a second heat exchange pipe network is closed and a first heat exchange pipe network is opened within a first time period; opening a second heat exchange pipe network in a second time period when the road surface temperature is lower than a preset first temperature threshold value; calculating target heat; the first heat exchange pipe network is controlled to dissipate the current heat to the road surface; and when it is determined that the current heat stored in the first heat exchange pipe network is smaller than the target heat, the circulating working medium flow of the first heat exchange pipe network and the circulating working medium flow of the second heat exchange pipe network are adjusted, the heat pump system is controlled to heat the circulating working medium, and the road surface temperature is kept within the preset temperature range. The closed-loop circulation system is formed by the heat exchange pipe networks of the tunnel bottom plate lower cushion layer and the pavement structure layer, and the heat pump system is combined, so that the dual functions of collection and storage of pavement heat in summer and snow melting and deicing in winter are achieved, the heat supply capacity of the system is improved, and the snow melting and deicing effects are improved.

The invention relates to the technical field of maintenance equipment, and discloses intelligent pavement maintenance equipment for bridge construction and a working method thereof.The intelligent pavement maintenance equipment comprises a control screen, a maintenance mechanism and a cabinet door, and the maintenance mechanism is provided with a water pipe and a central processing unit. An infrared temperature sensor on the sensor monitors the temperature of a road surface, the opening and closing degree of the adjusting mechanism is controlled according to the temperature, the small hydraulic press hydraulically pushes the limiting structure to ascend and descend, and after the limiting structure ascends and descends, the gap between the limiting structure and the limiting structure changes; therefore, the passing amount of water flow is changed due to the change of the gaps, the water flow is adjusted according to the temperature change monitored by each spraying mechanism, the effect of intelligently adjusting the water spraying amount is achieved, and it is ensured that the humidity is kept at a certain degree in the pavement concrete hardening process. And the problem that the pavement concrete strength is too low due to too large or too small water spraying amount is prevented.

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 utility model belongs to the technical field of water storage bricks, and particularly relates to a water storage brick with a drainage and water storage integrated function, which comprises an upper brick body, a lower brick body is correspondingly arranged at the bottom end of the upper brick body, the upper brick body is detachably connected with the lower brick body through a clamping part, and the peripheral side walls of the upper brick body are respectively and fixedly connected with a first convex part. Second protruding parts are fixedly connected to the side walls of the periphery of the lower brick body respectively, the first protruding parts correspond to the second protruding parts, a drainage part is arranged at the bottom end of the upper brick body, and a water storage part is arranged at the top end of the lower brick body. The device can store water in summer, evaporation of stored water in summer can reduce the temperature of the road surface, relieve the heat island effect and relieve urban drainage and flood control pressure, the device has good effects on preventing pollution of public waters and treating sewage, rainwater resources are effectively utilized, the road surface is kept dry, splashing of rainwater and sewage is avoided, and the comfort degree of pedestrians is guaranteed.

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 invention belongs to the technical field of road engineering materials, and provides a photo-thermal response fiber material, a preparation method thereof and a photo-thermal response type seal coat. The preparation method comprises the following steps: sequentially carrying out alkali activation treatment, microwave pretreatment, biological enzymolysis treatment and silane coupling agent modification treatment on wheat straws to obtain modified wheat straw fibers; the modified wheat straw fibers are subjected to anoxic pyrolysis treatment, and porous carbon fibers are obtained; and mixing the porous carbon fiber with a phase change material, and carrying out vacuum adsorption to obtain the photo-thermal response fiber material. The photo-thermal response fiber material prepared by the method has excellent photo-thermal response performance, temperature adaptability, environmental protection performance and salt corrosion resistance, a photo-thermal response type seal coat prepared by utilizing the photo-thermal response fiber material also has excellent self-repairing function, salt corrosion resistance and crack resistance, intelligent adjustment of pavement temperature can be realized, and the application range of the photo-thermal response type seal coat is widened. The service life of the pavement is prolonged, and the pavement is suitable for regions with large day and night temperature difference and rich solar energy resources.

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 invention relates to a novel ecological new energy highway. Relates to the fields of new energy application, ecological restoration, haze treatment, climate and temperature regulation, ecological civilization construction, ecological city and Chinese modernization. The novel ecological new energy highway can effectively solve the problems of pavement high temperature and air quality, plays an important role in adjusting temperature and climate, and can effectively purify automobile exhaust such as harmful gases such as carbon dioxide, sulfur dioxide and nitrogen dioxide. Compared with a traditional road, the road has the advantages of new energy productivity and ecological restoration, and has a wide application prospect.

Methods, apparatuses, systems and computer program products are disclosed to estimate road surface temperature for a geographic location. Reference ambient sensor data indicative of ambient conditions in vicinity to mobile vehicles are retrieved. Reference roadside sensor data indicative of at least road surface temperature in vicinity to distributed roadside sensors are retrieved. A relationship is established between the reference ambient sensor data and road surface temperature, based on the reference ambient sensor data and based on the reference roadside sensor data. A data structure is created, encoding the established relationship. Further, current vehicle ambient sensor data, indicative of current ambient conditions in vicinity to the one or more vehicles, are collected at one or more vehicles. Finally, a road surface temperature estimate is determined for the geographic location, using the data structure and using the collected current vehicle ambient sensor data.

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 present invention relates to the technical field of image processing, and particularly to a method and system for non-destructive detection of road surfaces for highway engineering. The method performs threshold segmentation on a thermal road surface map to segment out suspected defect regions; determines surface defect regions based on the texture feature differences of the surface defect regions in the optical road surface map; according to the optical road surface map, distinguishes the surface defect regions from the regions with high temperatures generated by vehicle friction in the suspected defect regions of the thermal road surface map; according to the heat changes in consecutive thermal images in the thermal road surface map, differentiates the regions with high temperatures generated by vehicle friction from internal defect regions to obtain the regions where road surface damage is located. The method mainly uses the thermal road surface map and supplements it with the optical road surface map, which can eliminate the influence of the friction high-temperature regions on the accuracy of judging road surface defects through the road surface temperature distribution, and also takes into account factors such as shooting angle, distance, and inter-frame differences, thereby improving the accuracy of the regions where road surface damage is located.