Simple and easy-to-use software makes monitoring fast and effective.
As each scan takes about two minutes to carry out, the process can be monitored repeatedly throughout the construction process. Surface changes are automatically analyzed and identified in the color-coded software output, meaning that operators can assess their own work without having to wait for offsite staff to process the collected data. The same type of scanner and software package is also being used in construction of a large rail expansion project, where the aim is to assist in tunnel profiling accuracy. The scope of this type of LiDAR application not only covers tunnel monitoring, but also provides detailed and accurate acquisition and analysis for purposes such as demolition, structural repairs, and even volumetric calculations for changing masses like stockpiles. Remote sensing technology such as LiDAR not only realizes increases in operational efficiency but also improves safety for operatives working in heavy industrial environments. Removing the need for manual inspections can go a long way toward achieving zero-harm targets on large projects. Most laser scanner manufacturers offer both long- and short-range systems that can be operated in areas that are inherently dangerous for onsite teams. LiDAR is capable of working in dusty and dark conditions where visibility is an issue. Scanners can be set up to scan at repeated intervals, feeding back data from a safe distance. Connected scanner and software packages are adept at identifying even the smallest level of surface deformation. Automated alarms can be triggered when sensors detect change outside of set parameters, allowing for proactive steps to be taken before conditions worsen. This can give site managers the opportunity to actively monitor areas that pose a risk to both workers and project timelines, all in real-time.
Another area where LiDAR-based change detection excels is in slope stability assessments. With worsening weather conditions, slope failures are becoming more common. Railways sidings and other exposed, naturally occurring structures are most at risk of deformation. Point cloud-based change detection has the ability to revolutionize the way that monitoring surveys are carried out. Historically, it has been impractical to continually assess slopes that are most at risk of failure in enough detail to be proactive. In applications such as monitoring coastal erosion, precursors to failure often present themselves prior to a large-scale event. Using software similar to PROCESSMONITOR LIVE, Durham University is carrying out a large-scale monitoring project of the Whitby coastline. Using a combination of terrestrial laser scanning and airborne LiDAR, it has been possible to identify change to help better forecast future events. The cliff face is monitored 24 hours a day, with scans carried out at 30-minute intervals. The results are streamed in real-time to allow analysts in Durham to see results as they are collected. Alerts are also set to warn of incidents that may suggest critical failure, which could one day save lives. LiDAR and other remote sensing technologies are a way off being fully automated, but much of the development work relies on clients looking to develop a fully integrated data strategy. Connected systems offer industrial environments a new way of realizing efficiencies while also improving onsite safety records. It’s only a matter of time before automated, real-time monitoring becomes commonplace, saving time and money in the process.
DANA PERTEA is cl ient engagement manager at geospat ial technology special ist , 3D Laser Mapping (www.3dlasermapping.com).
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csengineermag.com
june 2018
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