厦门2711P-T7C4D6模块 全新原装 大量现货

厦门2711P-T7C4D6模块 全新原装 大量现货

2711P-K6M3D

2711P-K6M5A

2711P-K6M5A8

2711P-K6M5D

2711P-K6M5D8

2711P-K6M8A

2711P-K6M8D

2711P-K7C4A8

2711P-K7C4A9

2711P-K7C4D2

2711P-K7C4D8

2711P-K7C4D9

2711P-K7C6A1  

2711P-T10C10D2   

2711P-T10C10D6

2711P-T10C1D2

2711P-T10C1D6

2711P-T10C4A2

2711P-T10C4A8

2711P-T10C4A9

2711P-T10C4D8

2711P-T10C4D9

2711P-T12C10D2

2711P-T12C10D6

2711P-T12C15D2

2711P-T12C1D2

2711P-T12C1D6

2711P-T12C4A1

2711P-T12C4A2

2711P-T12C4A8

2711P-T12C4A9

2711P-T12C4D6K

2711P-T12C4D8K

2711P-T12C4D9

2711P-T15C10D2

2711P-T15C10D6  

2711P-T15C15D5

2711P-T15C1D2

2711P-T15C1D6

2711P-T15C4A7

2711P-T15C4A8

2711P-T15C4A9

2711P-T15C4D5

2711P-T15C4D7

2711P-T15C4D8

2711P-T15C4D9

2711P-T15C6A1

2711P-T15C6D5

2711P-T6C1A

2711P-T6C1D

2711P-T6C20A

2711P-T6C20A8

2711P-T6C20A9

2711P-T6C20D

2711P-T6C20D8   

2711P-T6C3A

2711P-T6C3D

2711P-T6C5A

2711P-T6C5D

2711P-T6C8A

2711P-T6C8D

2711P-T6M1A

2711P-T6M1D

2711P-T6M20A

2711P-T6M20D

2711P-T6M20D8

2711P-T6M3A

2711P-T6M3D

2711P-T6M5A

2711P-T6M5A8

2711P-T6M5D

2711P-T6M8A

2711P-T6M8D

2711P-T7C10D2

2711P-T7C10D6   

2711P-T7C15A1

2711P-T7C15A2

2711P-T7C1D2

2711P-T7C1D6

2711P-T7C4A8

2711P-T7C4A9

2711P-T7C4D6

2711P-T7C4D8

2711P-T7C4D8K

2711P-T7C4D9

2711P-T7C6A1

2711P-T7C6D1   

Will Your OT Data Sink or Swim in the IT Ocean?
你的OT数据是否会在IT海洋中沉浮？

Why is Operational Technology data (OT data) continuing to make major inroads into the Informational Technology (IT) world? What factors are causing OT data to leave its comfort zone and stepping into a new frontier? And why is this step imperative for the next generation of industrial automation?

为什么运营数据（OT数据）会进入IT世界？是什么让OT数据离开舒适区、进入新领域？为什么这一步对于下一代工业自动化至关重要？

According to Moxa, the reasons OT data is leaving its safe nest are closely tied to today's operational needs. It has to do with how we’re using OT data. To better understand, let’s consider the evolution of OT data, starting with Industry 2.0. This era saw the introduction of electricity and assembly-line production, which prompted the invention of controllers to better manage devices on the factory floor as mass production gained traction. By using a simple on-and-off switch, these controllers helped complete simple routine tasks. Back then, data was few in and stayed within the confines of the devices that generated them. In its infancy, OT data of the Industry 2.0 era was limited to activities within its own devices.

在Moxa看来，之所以要OT数据离开舒适区，与的运营需求密切相关，也与我们如何使用OT数据有关。让我们从工业2.0时代开始，看一看OT数据的演变。工业2.0时代，人们引入了电力和流水线生产，推动了控制器的发明，可以更好地控制工厂车间的设备，大规模生产也随之发展起来。控制器通过简单的开关操作，帮助人们完成简单的常规任务。那时，数据量很小，并停留在产生数据的设备范围内。在其初期，工业2.0时代的OT数据的活动范围也于其自身设备之内。
 
The third Industrial Revolution introduced system automation as the new standard. Advancements in computing and communication technologies enabled automated processes to connect and "talk to each other." This was achieved by adding sensors to the original controllers, a step that created a closed loop involving sensors gathering data and sending it back to the controller for some preliminary calculations. Based on these calculations, feedbacks helped complete the command. This signified the first step taken by OT data from existing solely within devices to it circulating between a few devices in a closed loop.

第三次工业革命引入了系统自动化的新标准。计算和通信技术的进步促使自动化生产过程具备了联通能力。人们通过为原始控制器增加传感器、创建闭环来实现这种连接和通信。该闭环包含传感器收集数据，再将数据发送回控制器，以进行初步计算。基于这些计算，控制器会生成相应反馈，帮助完成命令。这标志着OT数据从仅存在于设备内部到在几个设备之间闭环循环所迈出的步。

Along with further technological advancements, the evolution of OT data was inevitable. With the advent of Industry 4.0, or Industrial Digital Transformation, managers are no longer satisfied with only preprogrammed automation. They now demand a smart, self-thinking system, pushing mandates for OT data to the next level. So, the big now is how to maximize OT data’s true value.

随着技术的进步，OT数据的演变也随之而来。进入工业4.0（工业数位转型）时代，人们不再仅仅满足于预编程的自动化，而需要一种能够自我思考的智能系统。这使对OT数据的要求提升到了全新水平。现在大的问题是如何大化 OT 数据的真正价值。

To achieve this feat, OT data has had to extend beyond its original dwellings and step into data centers or the cloud for further analysis, a move that can improve production efficiency, enhance , reduce costs, and even provide new business services. This kick-started a phenomenon that turned protected and localized OT data into usable data when transmitting it to remote IT systems and feeding it back to the OT side for real-time optimization. This phenomenon is what Moxa refers to as the Everlasting Data Stream, in which data continuously circulates between OT and IT, forming a lasting loop.

为了实现这个壮举，需要让OT数据走出原有活动范围，进入数据中心或云端完成进一步分析，以尽可能提高生产效率、提升生产质量、降低成本，甚至提供新的商业服务。这赋予OT数据新的价值：受保护的本地OT数据传输到远程IT系统，再反馈给OT端，实时优化生产过程，这些数据因此成为可以指导生产的有用数据。这种现象就是Moxa所说的永恒数据流：数据在OT和IT之间不断循环，形成持续的闭环。

As an example, let's look at an auto parts manufacturer Moxa has worked with. This factory had “bottleneck e,” which meant all items had to go through that specific e during the manufacturing process. Therefore, if the e stopped, so did the entire production line, making maintenance of this e imperative. Considering the high stakes, the manufacturer wanted to perform predictive maintenance on it to anticipate the parts that might wear out and stock up in advance to avoid stalling the production because of shortages. In the end, the manufacturer installed additional sensors to the bottleneck e. The necessary OT data could then be gathered in real-time and sent to cloud computing for analysis. This Industry 4.0 solution gave management insights into the status of every part, complete with the in-depth prediction analysis needed to take further actions.

以Moxa合作的一家汽车零部件制造商为例进行说明。这家工厂中存在“瓶颈设备”，这意味着所有物品在制造过程中都必须通过某一特定设备。因此，如果该设备停止工作，整个生产线也会停止，对这一特定设备的维护便显得极为重要。考虑到这种高风险，制造商希望对该设备进行预测性维护，预测哪些部件可能会磨损，并提前补充库存，避免因部件短缺而导致生产停滞。他们还为该瓶颈设备安装了额外的传感器。传感器收集必要的OT数据，并将其发送到云计算平台进行分析。后，云平台计算零件的状态并将预测反馈给管理人员，以采取进一步的行动。