厦门1769-OF8V模块 全新原装 质保一年

厦门1769-OF8V模块 全新原装 质保一年 

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

Whyis Operational Technology data (OT data) continuing to make majorinroads into the Informational Technology (IT) world? What factorsare causing OT data to leave its comfort zone and stepping into anew frontier? And why is this step imperative for the nextgeneration 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 areclosely tied to today's operational needs. It has to do with howwe’re using OT data. To better understand, let’s consider theevolution of OT data, starting with Industry 2.0. This era saw theintroduction of electricity and assembly-line production, whichprompted the invention of controllers to better manage devices onthe factory floor as mass production gained traction. By using asimple on-and-off switch, these controllers helped complete simpleroutine tasks. Back then, data was few in quantity and stayedwithin the confines of the devices that generated them. In itsinfancy, OT data of the Industry 2.0 era was limited to activitieswithin its own devices.

在Moxa看来，之要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 thenew standard. Advancements in computing and communicationtechnologies enabled automated processes to connect and "talk toeach other." This was achieved by adding sensors to the originalcontrollers, a step that created a closed loop involving sensorsgathering data and sending it back to the controller for somepreliminary calculations. Based on these calculations, feedbackshelped complete the command. This signified the first step taken byOT data from existing solely within devices to it circulatingbetween 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 OTdata was inevitable. With the advent of Industry 4.0, or IndustrialDigital Transformation, managers are no longer satisfied with onlypreprogrammed automation. They now demand a smart, self-thinkingsystem, pushing mandates for OT data to the next level. So, the bigquestion 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。

Toachieve this feat, OT data has had to extend beyond its originaldwellings and step into data centers or the cloud for furtheranalysis, a move that can improve production efficiency, enhancequality, reduce costs, and even provide new business services. Thiskick-started a phenomenon that turned protected and localized OTdata into usable data when transmitting it to remote IT systems andfeeding it back to the OT side for real-time optimization. Thisphenomenon is what Moxa refers to as the Everlasting Data Stream,in which data continuously circulates between OT and IT, forming alasting 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。

Asan example, let's look at an auto parts manufacturer Moxa hasworked with. This factory had “bottleneck equipment,” which meantall items had to go through that specific equipment during themanufacturing process. Therefore, if the equipment stopped, so didthe entire production line, making maintenance of this equipmentimperative. Considering the high stakes, the manufacturer wanted toperform predictive maintenance on it to anticipate the parts thatmight wear out and stock up in advance to avoid stalling theproduction because of shortages. In the end, the manufacturerinstalled additional sensors to the bottleneck equipment. Thenecessary OT data could then be gathered in real-time and sent tocloud computing for analysis. This Industry 4.0 solution gavemanagement insights into the status of every part, complete withthe in-depth prediction analysis needed to take furtheractions.

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。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，以采取的行动。 

IsOT data ready to swim in the IT ocean? 
OT数据准备好在IT领域畅游了吗？

While moving data from an OT domain to an IT domain seems to painta rose-colored world, a few considerations are required beforediving headfirst into the deep end. Moxa proposes these threethings to consider before taking this leap:

将数据从OT领域移动到IT领域的设想很美妙，但需三思而后行。Moxa提出，在迈出这一飞跃性的一步前，有三个需要考虑的要素：

DataInteroperability: The first and most common challenge encounteredwhen OT data is moving beyond its original confines is theinteroperability of OT/IT data. Since the communication protocolsused in the OT field are often vastly different from the ones ITuse, systems often run into communication errors. For example, whenthe OT data output shows a single “5" with no context, IT willnever know that the number 5 represents "machine speed" thusstalling the lines of communication. For the OT/IT data cycle tomaterialize, and for the data to move among the two domains freely,preprocessing OT data is required.

数据互操作性: 当OT数据越过其原始范围时，遇到的个也是常见的挑战是OT/IT数据的互操作性。由于OT领域使用的通信协议通常与 IT领域大不相同，系统在两者之间尝试发送数据时经常会出现通信错误。例如，当 OT数据输出显示一个没有上下文的“5”时，IT无法得知数字5代表“机器速度”，通信线路也会阻塞。为了实现OT/IT数据循环和两域间数据的顺畅移动，需要对OT数据进行预处理。

DataIntegrity: The second challenge is whether OT data can betransmitted in its entirety via connectivity technologies. This isespecially challenging because of many disturbances found in OTenvironments, such as electromagnetic waves generated when devicesstart, extreme temperatures, harsh environments, and even themutual interference between the control network and the OT datanetwork, all of which may cause communication disconnection orinstability. Disconnection may cause incomplete or droppedtransmissions, resulting in erroneous analysis and, by extension,erroneous decision-making. In cases like this, it is important tostrengthen the "resilience of data transmission” to ensure thatdata is promptly transmitted in its entirety.

数据完整性:第二个挑战是互联技术能否保障OT数据的完整传输。这尤其具有挑战性，因为在OT环境中存在许多干扰，例如设备启动时产生的电磁波、极端温度、恶劣环境，甚至控制网络和OT数据网络之间会相互干扰。这些干扰可能导致通信中断或通信不稳定。通信中断会导致传输不完整或丢包，导致分析出错，进而产生错误决策。在这种情况下，必须加强“数据传输的恢复力”，以确保及时完整地传输数据。

DataSecurity: Finally, the more valuable OT data becomes, the moreimportant it is to secure its transmission. Cybersecurity was notmuch of an issue in the past since the physical barriers of afactory were most likely enough to protect the data that wascontained within its walls. However, now that we connect OT data toIT systems or to the cloud, its old protective shells no longerwork. Therefore, how to strengthen "OT network’s security" willbecome a required focal point for enterprises.

数据安全:后，OT数据越有价值，传输的安全性就越重要。网络安全问题在过去并不严重，因为工厂的物理屏障几乎足以保护内部数据。现在我们将OT数据连接到IT系统或云平台，原来的保护措施便不再起作用。如何加强“OT网络的安全”将成为企业需要关注的重点。