Improving Industrial Data Connectivity Management With IoT Data Centers

Secure IoT data connectivity will be the largest asset for anybody planning to deploy IoT technology into a business environment. Given the state of global Big Data analytics and robust network infrastructure, there are virtually countless opportunities to tap into new market sectors that were previously unreachable. Some of these opportunities include: automotive applications, retail, hospitality, industrial, hospitality, travel, diagnostics, healthcare and finance. The opportunity for companies deploying a commercial IoT solution goes beyond being able to manage the connection between their enterprise’s enterprise software and the enterprise-grade sensors and devices running in the field.

Companies can also extend their existing Ethernet or SFP networks to include an area network, which offers greater connectivity and mobility to sensors and other enterprise-grade devices. This would be ideal in areas where human resources and equipment are dispersed, such as distribution, call center operations, and customer care centers. Areas of highest traffic will typically experience the most issues with connectivity, so deploying a high speed, reliable and secure ISP or ISDN network would be most beneficial. However, for those companies operating in urban centers, it may make sense to deploy a separate mobile ISP for each department.

What we can achieve through modularization

One of the most promising applications for IoT data connectivity lies in enabling devices to communicate with one another. This can be accomplished through modularization, where a single manufacturing unit is converted into multiple pieces, with each piece having its own sensors and associated data connections. Modularization allows for different manufacturers to develop a standard set of sensors and associated protocols and then uses standardized wiring to connect these components together. The downside of this approach lies in the time needed to test and retest products for compatibility with existing equipment. Manufacturers may also need to consider adding personnel training in product installation and troubleshooting, as well as specialized software for interfacing with the standardized wiring system.

Creating Mobile solutions

Another application for the data connectivity aspect of mobile computing is to create software solutions on mobile devices. Such software may allow for scheduling of tasks, device management, or real-time collaboration among devices. To achieve this goal, a telecoms services provider could develop and sell a scheduling software package that works across multiple networking technologies and devices. In addition to scheduling features, this software could also allow for real-time communication between devices, particularly to coordinate emergency response.

Developing Sensors

One other potential application is to develop sensors that are equipped to work as part of a more comprehensive platform. For example, an industrial maintenance company may provide robots and sensors for handling load-bearing tasks such as lifting or moving heavy objects. If these robots can communicate with a manufacturing platform, the maintenance company could use its robots in the course of its daily business use case, monitoring the operation of several heavy-duty machines and their equipment.

Integrating a telecoms infrastructure with an IoT platform

In order for a telecoms industry to take advantage of the potential benefits of IoT connectivity, it must invest in the development of smart and wireless solutions for industrial application and in particular its Sim Controls. The most important aspect of integrating a telecoms infrastructure with an IoT platform is to ensure easy connectivity between various devices. To achieve this, a good system should integrate all of the devices on a network, whether they are remotely located or not. The integration process is made easier if the platform being used is one of the open-source enterprise software ecosystems like the Replicant platform and the OpenStack.

In addition to easy connectivity, such a platform should be flexible enough to accommodate different types of telecom carriers, and even more specific demands from different verticals within a single organization. Therefore, such a platform should provide the ability to adapt to changing telecom requirements as dictated by operational needs. It should also provide the ability to rapidly configure new setups once the existing ones are outdated. This ability to rapidly adjust to changes to operational needs makes the IoT connectivity an optimal choice for a telecoms industry’s data center architecture.

The importance of the IoT data center architecture goes beyond simple cost benefit analysis. Such a structure must support multiple uses of sensors, actuators, and microprocessors. Each individual device should be effectively connected to the rest of the network by use of different interfaces so that the data from each device is automatically propagated throughout the system. Such devices may include printers, cameras, and sensors that are commonly used in industrial applications. While such a platform would allow for automatic data transfer, it would also greatly facilitate the provision of additional interfaces for any devices that require such transport. Thus, by using well-designed and properly implemented IoT networks, an organization can significantly reduce the cost and effort required for its current and future operational and IT support requirements.

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