我们的自动化越多，我们浪费就越少

作者：BurkhardBöckem

We are all increasingly aware of the impact of climate change. And we need to care deeply about the environment if we all want this Earth to be preserved for future generations. And I am concerned about the future. At the same time as Hexagon’s Chief Technology Officer, I am also optimistic. I believe in the power of technology and innovation to solve the most pressing problems. Much of the technology that will significantly reduce waste and emissions already exists, and at Hexagon we’re determined to make it more inclusive and more broadly available in more seamless workflows.

The pandemic crisis has accelerated digitalisation everywhere including in our own company. Because of travel restrictions and safety requirements, we’re now collaborating entirely digitally both internally as well as with our partners around the globe. Traditional innovation processes that include different prototypes and real-life testing can use up a lot of resources. Engineers, for example, usually produce and physically test multiple samples. Within digital workflows, however, engineers can use computer simulations to study the performance of different materials and test them virtually. In 2020, we changed our innovation process including testing and production planning to be entirely virtual. A team in one country developed the product and created a virtual prototype which was then tested by a team in another country to check the design was correct.

可持续性是一个主题在整个公关ocess. We always ask how much faster can you do a job? Where can the process be leaner? How can you do it more efficiently? Which elements can you simplify? And usually, sustainability factors are in line with user needs. Energy-efficient tools and devices are not merely environmentally friendly, they are also more convenient for users because you need to recharge or change battery packs less often. Our brand’s emphasis on high-quality, durable products ensures long lifecycles which are in the customers’ interest and are more eco-friendly. Our training, maintenance and service ensure products stay in good working order and reduce the risk of accuracy issues that could lead to reworking costs, scrap and material or energy waste. Predictive and preventative maintenance avoids unnecessary machine downtime and further drives sustainability. Support staff can solve issues remotely and anticipate the need for site visits. Planning such trips and predicting the need of spare parts — rather than merely reacting to issues — avoids unnecessary journeys while saving the customer time. Consultancy also helps eliminate unnecessary activities and thus unnecessary emissions. So, as we optimise for customer outcomes in the innovation process, we optimise for sustainability.

我们使客户能够将数据投入到提高效率，质量和生产力，以便他们可以更明智地使用资源并避免浪费。但是，只有当数据收集和解释很容易时，它才能成为优化操作，消除不必要的模式和开发精益过程的强大工具。利用数据的力量通常很复杂。

In addition, autonomous systems and processes need to be able to deal with changing situations. In the autonomous future Hexagon is envisioning, work processes and even entire industries will be able to adapt intelligently and autonomously. Real-time data impels autonomous, fully optimised and sustainable workflows. Hexagon is adeptly positioned to drive this autonomy with its sensors, software and autonomous solutions.

许多人仍将自治与汽车联系起来。它可以做更多的事情 - 但是该示例可以帮助证明自主过程的影响。自动驾驶汽车比人类驱动的汽车更燃油或节能。自动驾驶汽车减少了拥堵，从而减少了发动机空转时间。实际上，一项研究表明，即使是具有自主速度控制的一辆汽车，也会对交通流量产生明显影响。研究人员表明，自动驾驶汽车可以将幻影波中车辆的燃油消耗量减少40％。许多领域都会受益于数据燃料的自主权。它可以使化石燃料清洁剂，可再生能源农场更高效，采矿更安全，制造精简，建筑物更聪明，城市更宜居。当我们的产品支亚搏彩票手机版下载持这些自主系统时，我们正在帮助客户和社会获得优势。

We keep pioneering autonomous innovations and we democratise them. Technologies such as the Leica BLK portfolio of solutions and our HxDR platform are easy to use and make the benefits of digitalisation and autonomy accessible and available to a broad set of industries and users.

设想并见证 - 如何将完全数字化的过程与人工智能（AI）配对，这是令人兴奋的。深度学习可以从数据中提取新的学习，并启用我们目前几乎无法想象的解决方案和应用程序。AI已经改变了我们如何进行机器可视化和图像处理。将AI与同时本地化和映射结合在一起，以及它与智能传感器并在边缘进行处理的能力，将提高机器人技术并解锁更多自治潜力。