Ingenieur Vol 77 Jan-Mar 2019 ingenieur 2019 Jan-March | Page 54

INGENIEUR Making Construction Safe with AI By Wang Changxin Yunlu Technology In any scenario, from smart cities to smart transportation, construction safety is of paramount importance. Wang Changxin, CEO of Beijing-based Yunlu Technology, explains how Yunlu provides solutions to analyse monitored data from the entire construction lifecycle to discover potential construction problems and minimise quality and safety incidents. I n many countries, infrastructure disaster- prevention mechanisms and prediction methods are now incorporated into key future plans. Infrastructure disasters often involve both natural and human factors. Natural disasters can be predicted through environmental monitoring such as meteorology, hydrology, and geological disaster predictions. Disasters caused by human error, on the other hand, can be avoided through regulations, design, and online monitoring systems. Yunlu Technology has worked with Huawei Cloud to build a world-leading structural health monitoring (SHM) big data Internet of Things (IoT) platform using new technologies that covers the entire construction lifecycle and improves construction safety. By analysing data from the Operation and Maintenance (O&M) stage, it is possible to control the usage and development trends formed during the O&M stage and provide data to support the departments that make 6 52 VOL 2019 VOL 77 55 JANUARY–MARCH JUNE 2013 maintenance decisions. Construction period monitoring and the analysis of O&M test data can provide a useful reference for the design stage. Structural health monitoring (SHM) and medical health monitoring are somewhat similar. Both involve collecting data and analysing it to make conclusions about diagnosis and treatment. SHM has been developing for over 20 years. In most cases, traditional sensors are still employed and, with the level of data compiled and collected, it is impossible to precisely or effectively analyse the data. Multiple disciplines This is an industry that combines multiple disciplines and domains. First, you need technological support that includes sensors, networks, cloud platforms, system integration,