The fourth industrial revolution
The fourth industrial revolution, which is often called “the transition to industry 4.0”, is in full swing, giving rise to some interesting trends. One of them is the fact that companies are increasing their investments and allocate more resources to the collection and formation of data from the Internet of things (IoT) and equipment of the industrial Internet of things (IIoT) as part of the Assembly lines and the PMIS, as well as from controlled transactions that combine their servers around the world.
Gradually introducing 5G, artificial intelligence (AI) and machine learning (MOE) is a promising technology whose heyday is expected in the coming years, companies of the industrial sector have to wonder how they can process and store huge amounts of data that they are likely to generate.
The development of the operating activities of the companies
Industry 4.0 this clearly demonstrates the ongoing evolution of the approach to doing business. Today, considering the record number of connected devices, to perform routine operations, companies are much stronger rely on automation, and the collection and logging of data. Further technological development, in particular, the implementation of 5G will only spur this trend, providing the necessary for the operation of the connected device speed and power at the expense of connectivity and interaction of the next generation.
In the context of this increasing volume of data requiring processing, computing power will increasingly move closer to a target device and a local data centers in order to reduce the load on the Central data center.
So, in terms of the fourth industrial revolution, passing under the banner of data, how reasonable to say that data warehousing is the key to success of industrial Internet of things (IIoT)?
1. External factors
There is a common misconception that storage systems should and will work the same, wherever she was, but in short, it is not so. Ambient conditions affect all, including storing data, therefore, can not be neglected. When selecting hardware for data storage for each specific situation needs to take into account a number of external factors, including the height above sea level, humidity, temperature and vibration loads (the list is not exhaustive).
For example, a smart car operated in a hot desert or in the far North, must be properly equipped to withstand the ultimate temperature regimes, and drives installed on remote Maritime oil rigs, should be resistant to vibration and, possibly, moisture and humidity.
Requirements for computational capacity and overall performance of the storage system can greatly vary. The performance, which had an old smartphone, hardly meets the requirements of today. Imagine at least the requests from the industrial drones with elements AI, and the difference will become obvious. It is used in such conditions, devices for storing and processing large volumes of generated AI data, imposed very strict requirements and this should be remembered in the context of always “hungry” to data technologies IIoT.
Applications with a large number of operations of reading and writing depend heavily on the reliability and resilience of storage solutions, which should ensure the recording of data over a long period of time. This consideration assumes particular importance when installing equipment (e.g., cameras thermography) in remote places. In such cases, all devices must be reliable in order for their installation and smooth functioning was only limited maintenance. Although performance is an important feature for data storage devices, under certain use cases the processing speed is not as critical as the overall reliability of the equipment, and therefore, if required by a specific task, manufacturers will have to sacrifice the first for the second.
4. Remote monitoring
When it comes to monitoring data, there are a number of issues. How is this monitoring? Who has access to this data and how often? On the background of the recent development of local data center physical access and maintenance of data centers and IIoT devices might not always be practically feasible. Under these conditions, periodic maintenance and prevent unnecessary problems, it is important to remote monitoring of storage devices.
5. Long-term data retention
Data storage for a long time it’s often useful for internal reporting as a tool for strategic decision-making, however, in some cases, such storage is becoming a necessity. If the company processes and logs critical data, information related to public administration, or medical records, such records shall be kept for a longer period of time as in order to meet regulatory requirements and to reduce potential errors. In such situations, the possibility of long-term data storage is a necessity, requiring selection of the correct equipment.
Information needs associated with the fourth industrial revolution, is rarely given priority in the creation and implementation of innovative solutions, although it is possible, in vain. When buying new technology companies of the industrial sector should start with an analysis of the existing material-technical base and to ensure the adequacy of their storage capacity to ensure the effective operation of the new high-tech devices. Companies will have to invest in solutions that satisfy their needs, whether it is storage on a flash or hard drives (HDD drives) filled with helium.
Smart technologies increase efficiency and productivity because of the processing and analysis of data at such high speeds that have never been available before. Industry 4.0 is a reflection of how technology transformerait operations of the company, but most fully the full potential of the technological solutions you can expand only by taking into account the requirements for data storage.
Journal: Journal IT-Expert, a magazine Subscription
About the authors
Director of sales-EMEA, Western Digital. Article