几年前，当物联网到达现场时，似乎是Déjàvu对我而言，特别是在应用离散制造。回到20世纪80年代后期和20世纪90年代初，将离散制造机械和系统连接到各种版本的以太网是所有的愤怒。然后，目标是从以太网收集大量数据，并将其发送到执行套件的计算机上的电脑上，以便在每个点击，每个开关，每个设备产生的每一个点击，每个开关都会看到制造地板。
在高管说这是太多的数据，制造业的并不久是“管理通过例外的管理”。所有这些数据被证明的设备运行良好，并且唯一一次需要参与的时间是交换机没有翻转，或者点击没有发生。这些发展导致预防性维护服务和更有效的设备运行规划，以利用能量成本低的时间段。
So how is the Internet of Things different from the activities of those days? Some users installing IoT systems report some savings and productivity improvements. But were these savings because they hadn’t taken advantage of the developments back in the ‘90s and only now have done so? In several cases, that was the scenario — making the IoT approach a bit less impressive.
物联网兴起的演讲by former GE CEO Jeff Immelt. Under Immelt, GE made a large commitment to bring Internet connectivity to all departments and branches and reap the benefits of data collection. In a recent conversation with Rich Carpenter of GE Automation & Controls, Carpenter brought up some things GE has learned over the last several years.
Most IoT systems are heavy users of the Cloud. But, as Carpenter notes, the cloud does not solve all problems. Huge amounts of unanalyzed data are stored on the cloud, usually at a high cost. To Carpenter, and a number of other users of the cloud, cloud-only solutions no longer make sense. Carpenter believes the next iteration of the IoT will involve edge devices and the cloud. Edge devices will bring analytics closer to the production situation, reducing the amount of cloud storage needed.
Increasingly, customers will see a field agent, a gateway, or a platform for running analytics near equipment. However, IoT is still at the stage of collecting lots of data then discovering what data is necessary for analysis.
The low-hanging fruit of the IoT is to use the data in preventive maintenance, something that discrete manufacturing has been doing for a couple of decades now. One notable development is that increasingly, machine maintenance is being pushed back to the OEM by the customer. Depending on the industry, IoT equipment can be useful to handle this situation.
木匠看到软件分析的变化。客户对他们可以自定义的软件平台感兴趣。分析程序将达到他们行为像PC软件的地步，以自己的分析程序升级为分析。根据木匠，这是最终目标。
物联网行业仍然是一个寻找问题的解决方案。但谁知道？具有强大的软件分析，也许IOT将解决更多的制造效率问题。
Leslie Langnau
[email protected]
提起：设计世界articles那IOT•IIT•Internet的东西•行业4.0
