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A brave new dawn in the world of engineering with the advent of drone technology

blog
Engineers aren't known for taking risks lightly – what we do doesn't allow for error, and taking a risk brings in too much scope for error. If engineers are slightly cautious, engineer-surveyors are even more so. But being in a traditional, perhaps even cautious sector, doesn't mean that we aren't always looking for new ways to solve old problems. And increasingly, those new ways are tech-based. One of the most exciting applications of new technology I have encountered is drones. Clear regulations Safety always has, and always will be, paramount for engineering – not just at the design and build
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US Congress recognises onboard DAA tech as vital tool for commercial UAS integration

Iris-Automation-Test-Site
Iris Automation, Aircraft Owners and Pilots Association (AOPA), and the Helicopter Association International (HAI) applaud the U.S. Congress for its continued support for the safe integration of Unmanned Aircraft Systems (UAS) into the National Airspace. With the passage of the end of year government FY’21 funding legislation, H.R. 133, Consolidated Appropriations Act, 2021, the House and Senate bi-partisan Appropriations Committees included language intended to underscore the importance of onboard Detect and Avoid technology (DAA) as a critical safety tool for full UAS integration. By doing so, under its legislative oversight authority, Congress has sent a clear signal that progress towards
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Fix it before it breaks: Predictive maintenance

Khalid Al Breiki EDGE
Predictive maintenance is a proactive maintenance strategy that evaluates and predicts when a component might fail so that maintenance work can be scheduled at a time that minimises adverse impact. It differs from reactive or preventative maintenance in that the predictions are based on the exact condition of the equipment rather than average or expected life statistics. In addition, the maintenance teams no longer have to wait for the flight to land to capture data – predictive maintenance happens in real time, enabling workers to analyse data insights and algorithms while the aircraft is still airborne. This precision is proving
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