Road Construction Progress Management Method And System Based On Matter-element Theory And Object Detection Algorithm

Road engineering has the characteristics of large construction scale and long line.In the construction process,there are problems such as disconnection between plan and reality and difficulty in controlling schedule.Therefore,it is of great significance to realize the scientific management of road construction progress by means of information and intelligent technology.In this thesis,the road construction schedule identification method is proposed,and the road construction schedule integrated management system is developed to solve the problem of poor construction plan effect and difficult control in road construction schedule management.In the road construction progress identification method,according to the characteristics of road construction,the work breakdown structure(WBS)method is used to divide the construction process,and the object detection algorithm in deep learning is used to detect the construction machinery required for different processes,and then the process main matter element model based on matter element theory is used to realize the road construction progress identification.The integrated management system of road construction progress developed by consists of three subsystems: road construction data collection,road construction progress management and road construction progress monitoring.It includes 34 functions,such as construction data collection,construction data management,construction progress plan preparation,construction progress deviation analysis and construction progress monitoring,and realizes the integration of construction progress data collection,management and analysis.This thesis takes a national highway construction project in Handan as an example to verify the method and test the system.The results show that the average recognition accuracy of the algorithm after 5046 images training is 96.1 %,and the positioning loss,category loss and confidence loss are 1.639 %,0.195 % and 1.024 %,respectively.The recognition accuracy of the road construction progress is more than 80 % after the algorithm is integrated into the system,which verifies the effectiveness of the method.At the same time,the feasibility of the integrated management system of road construction progress is tested by using 3152 spatial data and attribute data in the example.Through the application of this system,the efficiency of road construction schedule management is effectively improved,which has important practical significance for the good development of road construction.