2018年自动化领域前沿技术趋势展望

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报告 | 2018自动化领域前沿技术趋势展望

2018-01-17 17:00 来源:IT有得聊 操作系统 /AR /技术

原标题:报告 | 2018年自动化领域前沿技术趋势展望

导读:五个关键技术趋势,它们将在2018年对过程和离散自动化产生重大影响:边缘智能、虚拟和物理世界融合、分布式分析、工业网络安全管理的进展、开放过程自动化视觉越来越受欢迎。

Over the last several years, there has been significant advances in and adoption of new automation technologies. This rate of change and subsequent adoption will continue to ramp up in the coming year. Many of the recent advances include industrializing some popular consumer technology. This helps accelerate the ongoing convergence of information technology (IT) and operational technology (OT) to support digital transformation.

在过去的几年里,新自动化技术取得了显著的进步。这一变化及随后的采纳率将在新的一年继续上升。最近的进展包括一些流行消费技术的工业化应用。这有助于加速信息技术(IT)和运营技术(OT)的不断融合,以支持数字进程。

Top Technology Trends in Automation In 2018, there will be an acceleration of this IT/OT convergence, particularly as this relates to the acceptance of and proliferation of Industrial Internet of Things (IIoT)-enabled solutions, cybersecurity, edge computing, augmented reality (AR), artificial intelligence (AI), analytics, digital twins, and progress on the Open Process Automation (OPA) front.

根据《2018年前沿自动化技术发展趋势》,IT/OT融合将加速,尤其是因为这涉及到工业物联网(IIoT)解决方案、网络安全、边缘计算、增强现实( AR)、人工智能(AI)、分析、数字双胞胎以及开放式过程自动化(OPA)方面的进展

2018年自动化领域前沿技术趋势展望

In no particular order, here are five key technology trends that will have a major impact on both process and discrete automation in 2018:

这里有五个关键技术趋势,它们将在2018年对过程和离散自动化产生重大影响:

Intelligence at the Edge

边缘智能

As more data-intensive compute workloads are pushed to the network edge, real-time remote management and a simplified edge infrastructure are crucial for success. Operational issues, such as managing asset performance to improve production while reducing unplanned downtime will drive end users to deploy edge computing.

随着越来越多的数据密集型计算工作负载被推到网络边缘,实时远程管理和简化的边缘基础设施对于成功至关重要。 操作问题(如管理资产绩效以提高产量,同时减少意外停机)将推动最终用户部署边缘计算。

Companies that take advantage of self-managed, edge computing infrastructures will be able to unlock additional data that had previously been stranded inside machines and processes. They will also be able to more quickly identify production inefficiencies; compare product quality against manufacturing conditions; and better pinpoint potential safety, production, or environmental issues. Remote management will enable on-site operators to connect in real time with off-site experts to more quickly resolve, or even avoid, downtime events. This will help to free operations people and IT staff to perform their respective roles, making best advantage of their specific expertise.

那些利用自我管理的边缘计算基础设施的公司将能够解锁先前滞留在机器和流程中的其他数据。 他们也将能够更快速地识别生产效率低下的问题; 将产品质量与生产条件进行比较; 更准确地指出潜在的安全、生产或环境问题。远程管理将使现场操作人员能够实时地与场外专家联系,以更快地解决甚至避免停机事件。这将有助于解放操作人员和IT人员,让他们发挥各自角色,从而最大限度地利用其专长。

Advances in Industrial Cybersecurity Management

工业网络安全管理的进展

Additional advances in industrial cybersecurity management solutions will be deployed to address the unique requirements of industrial automation equipment, applications, and plants; particularly as these relate to the stringent constraints on system updates and network communications. These advances will incorporate commercial-type IT cybersecurity management solutions, but in a manner that limits any negative impacts on control system operation.

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