Research On Automatic Monitoring System Of Metro Protection Area

With the rapid development of the domestic economy,the continuous increase of population,and the increase in the number of motor vehicles,road traffic has become more and more congested.In order to alleviate travel pressure,urban rail transit plays a vital role.Therefore,subway tunnel construction has been carried out in all major cities.Take Hefei as an example.As of December 2020,Hefei Rail Transit has completed and operated Line 1,Line 2,Line 3 and Line 5,with a mileage of 114.78 kilometers and a total of 9 lines under construction;by 2030,The total mileage of Hefei’s urban rail transit network is approximately 436.4 kilometers.The increase in rail transit mileage makes the monitoring of subway protection areas particularly important.At present,subway monitoring mainly uses measuring robots for automated monitoring.This model has some shortcomings: on the one hand,automated monitoring often involves multiple units,resulting in inconsistent monitoring accuracy,The points are not uniform,which is not conducive to later management,and the point signs installation lacks pre-planning,often cannot be placed on the structure,causing the monitoring results to fail to reflect the actual deformation status;on the other hand,this kind of automatic monitoring is mostly static observation,The use of multiple measuring robots for regional joint measurement has led to problems such as a large number of measuring robots,high monitoring costs,and difficult monitoring.This article combines photogrammetry technology with automated monitoring technology and proposes a dynamic automated monitoring mode for measuring robots,which largely solves the above-mentioned problems in static observation.The dynamic automatic monitoring of the measuring robot involves technical issues such as point location mark design,automatic target recognition,and remote control.This article analyzes and researches the automatic target recognition of the dynamic monitoring of the measuring robot.The main research contents are as follows:(1)Research image and target recognition technology,and propose three auxiliary measurement robot target recognition methods,which are pattern recognition method based on template matching,method based on image processing,and target tracking method based on machine vision;(2)Analyze and study the relationship between the image coordinate system and the coordinate system of the measuring robot equipment,complete the coordinate conversion between the two,and improve the automatic target recognition ability of the measuring robot through remote control;(3)Research on the Geo COM interface,the secondary development platform of the measuring robot,adopt the network communication method combining RS232 serial communication technology and 4G DTU module,complete data storage and management based on the SQL Server database,and develop an automated monitoring system for subway protection areas,and the analysis is carried out with an example.