Disclosed is a method for calculating surface energy matching index of specific surface area of asphalt mortar-aggregate, including the following steps: determining surface energy parameter of aggregate by vapor adsorption method; determining surface energy parameter of filler by improved capillary rising method; determining specific surface area of asphalt mixture aggregate by specific surface area coefficient method; using an automatic specific surface area and pore analyzer to determine the specific surface area of the filler; calculating adhesive bond energy of the asphalt mixture and adhesive bond energy under liquid condition; calculating the surface energy matching index of asphalt mortar-aggregate. The beneficial effects of this disclosure include: the water stability of asphalt mixture is improved because the influence of the surface energy matching index of the specific surface area of asphalt mortar-aggregate is considered.

A binocular image analysis-based asphalt road surface damage detection system, comprising five sub-systems for crack development degree detection model establishment, information collection, information analysis, information transmission and information distribution. Specifically, road surface damage information detection is performed by means of a mobile platform, a processing end, a temperature measurement-type infrared thermal imaging instrument, an ordinary image collector, a vibration sensor, image processing technology, edge cloud computing technology, an embedded system, system integration technology and real-time positioning technology.

A binocular image analysis-based asphalt road surface damage detection system, comprising five sub-systems for crack development degree detection model establishment, information collection, information analysis, information transmission and information distribution. Specifically, road surface damage information detection is performed by means of a mobile platform, a processing end, a temperature measurement-type infrared thermal imaging instrument, an ordinary image collector, a vibration sensor, image processing technology, edge cloud computing technology, an embedded system, system integration technology and real-time positioning technology.

The invention discloses a slope one-way loading rutting test device, wherein the upper part of a loading frame is slidably connected with an upper cross beam of a frame through a loading frame rotating assembly, and a variable speed motor and a runner wheel are embedded in the lower part of the loading frame. The variable speed motor is in transmission connection with the runner wheel to realize one-way continuous loading of the runner wheel on a test piece. The lower part of a bearing frame is slidably connected with a lower cross beam of a frame through a bearing frame rotating assembly, a test piece mounting frame and a height adjusting device are sequentially embedded into the upper part of the bearing frame from top to bottom, and the height of the test piece mounting frame is adjusted through the height adjusting device.

The invention discloses a slope one-way loading rutting test device, wherein the upper part of a loading frame is slidably connected with an upper cross beam of a frame through a loading frame rotating assembly, and a variable speed motor and a runner wheel are embedded in the lower part of the loading frame. The variable speed motor is in transmission connection with the runner wheel to realize one-way continuous loading of the runner wheel on a test piece. The lower part of a bearing frame is slidably connected with a lower cross beam of a frame through a bearing frame rotating assembly, a test piece mounting frame and a height adjusting device are sequentially embedded into the upper part of the bearing frame from top to bottom, and the height of the test piece mounting frame is adjusted through the height adjusting device.

An asphalt mix tracking system having a data collection system adapted to determine at least one characteristic of the asphalt mix, a data control system adapted to receive data from the data collection system, a lot tracking system adapted to track a lot of the asphalt mix, a truck tracking system adapted to track a truck, and a pavement injection system adapted to identify the lot of the asphalt mix. The preferred asphalt mix tracking system is adapted to substantially continuously track the asphalt mix from a mixing site to a paving site. A method for tracking an asphalt mix including determining the at least one characteristic of the asphalt mix, communicating the at least one characteristic of the asphalt mix to the data control system, transporting the asphalt mix from the mixing site to the paving site, and injecting an identification means at the paving site.

An asphalt mix tracking system having a data collection system adapted to determine at least one characteristic of the asphalt mix, a data control system adapted to receive data from the data collection system, a lot tracking system adapted to track a lot of the asphalt mix, a truck tracking system adapted to track a truck, and a pavement injection system adapted to identify the lot of the asphalt mix. The preferred asphalt mix tracking system is adapted to substantially continuously track the asphalt mix from a mixing site to a paving site. A method for tracking an asphalt mix including determining the at least one characteristic of the asphalt mix, communicating the at least one characteristic of the asphalt mix to the data control system, transporting the asphalt mix from the mixing site to the paving site, and injecting an identification means at the paving site.

A system and method are described for predicting road friction using data from a fleet of connected vehicles. Each fleet vehicle includes a communication arrangement for reporting, to a back end system, floating car data sets, including a position of the vehicle, time data and data regarding determined road friction influencing parameters and a determined road friction associated with that position. The data sets are collected and aggregated in a central database, over a predetermined time period. A neural network computer is trained and validated, using aggregated data sets, to create a model to predict future road friction for a specific road network position or segment associated with that specific position. Once trained and validated, the neural network computer, upon receiving the same type of new, up to date, input data, uses the model to predict future road friction for that specific position or segment of the road network.

A system and method are described for predicting road friction using data from a fleet of connected vehicles. Each fleet vehicle includes a communication arrangement for reporting, to a back end system, floating car data sets, including a position of the vehicle, time data and data regarding determined road friction influencing parameters and a determined road friction associated with that position. The data sets are collected and aggregated in a central database, over a predetermined time period. A neural network computer is trained and validated, using aggregated data sets, to create a model to predict future road friction for a specific road network position or segment associated with that specific position. Once trained and validated, the neural network computer, upon receiving the same type of new, up to date, input data, uses the model to predict future road friction for that specific position or segment of the road network.

A method and device for controlling viscosity of asphalt rubber based on a current variation are provided. The method includes processing asphalt rubber raw materials with a first preset proportion, and shearing the processed asphalt rubber; obtaining a shearing current, pumping and discharging the sheared asphalt rubber; obtaining a discharging current, and obtaining the viscosity of the pumped asphalt rubber according to the discharging current and the viscosity-discharging current correlation relationship. The method includes comparing the viscosity with a preset viscosity; outputting the pumped asphalt rubber as finished asphalt rubber when the viscosity is equal to the preset viscosity. The method includes adjusting the viscosity according to the discharging current. Double-current control is adopted, so that the whole-process control of the processing viscosity of the asphalt rubber is realized, and the control accuracy of the viscosity is improved.