Abstract: The present invention provides an intelligent construction control method, apparatus, and system for splitting jet grouting mixing piles, relating to geotechnical engineering. The method includes receiving real-time perception information from a construction information self-perception system, which includes drilling depth, drilling rig output power, drill bit torque, drill rod axial force, and pore water pressure of the drill bit. This information is input into a trained machine-learning model for stratum information, establishing a nonlinear implicit correspondence relationship between the perception information and construction stratum conditions, and outputting real-time stratum state information.

Abstract: A method for three-dimensional velocity geological modeling with structures and velocities randomly arranged, including determining base points in three-dimensional space, building equation according to the base points to determine planar layered model, complicating a tilt layer of planar layered model, and building a fold layer model of a surface in three-dimensional space; building three-dimensional fault folded model based on the three-dimensional surface fold layer model combined with a fault plane of a random reference point and displacement of each point in a global coordinate system; building a velocity model containing a salt body based on the three-dimensional fault folded model, and simulating salt body intrusion in a geological body of a certain depth; and performing a random velocity amplitude to realize three-dimensional velocity modeling according to the layered type which has been set and according to the set velocity range and the velocity difference range between each layer of geology.

Abstract: A method and device for judging intercity transportation modes based on mobile phone data solves the problems of difficult data acquisition and low data processing efficiency in the existing solutions. The method includes: obtaining the trajectory of each user from the mobile phone data; extracting an intercity traffic sub-trajectory in the trajectory of each user; and judging the transportation mode of the intercity traffic sub-trajectory. The solution has the advantages of easy data acquisition, high data processing efficiency and capability of achieving long-term monitoring.

Abstract: The present invention provides a method for judging a highway abnormal event, which can determine the traffic jam phenomenon in the target road segment based on the trajectory data of each sample vehicle of the target road segment. The solution of the present invention has the following beneficial effects of 1. comprehensively considering the vehicle speed information of the sample vehicles to judge the traffic jam event; 2. determining the overall traffic jam event of the target road segment; 3. more accurately judging the traffic jam event of the target road segment.

Abstract: The present invention provides a method for judging a highway abnormal event, which can determine the traffic jam phenomenon in the target road segment based on the trajectory data of each sample vehicle of the target road segment. The solution of the present invention has the following beneficial effects of 1. comprehensively considering the vehicle speed information of the sample vehicles to judge the traffic jam event; 2. determining the overall traffic jam event of the target road segment; 3. more accurately judging the traffic jam event of the target road segment.

Abstract: A method and device for judging intercity transportation modes based on mobile phone data solves the problems of difficult data acquisition and low data processing efficiency in the existing solutions. The method includes: obtaining the trajectory of each user from the mobile phone data; extracting an intercity traffic sub-trajectory in the trajectory of each user; and judging the transportation mode of the intercity traffic sub-trajectory. The solution has the advantages of easy data acquisition, high data processing efficiency and capability of achieving long-term monitoring.