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Building the IoT ecosystem:

Building the IoT ecosystem

Mow make the data work?

In the past few years, on the “Internet of Things,” there is a lot of talks, so it is surprising that, as it turns out there are still enterprises that do not recognize the relevance of this technology. According to our research, about 30% of respondents say that the question implementation of the “Internet of Things” in activities the enterprise is “not very important” or “Not important at all.”

At the same time received our findings again speak of a big divide between “adherents” of the “Internet of things” and by “outside observers”: 34% of respondents believe that implementation of the “Internet of Things” is “very important”.

To collect operational data, there is nothing new. Change is connected with the proliferation of IP devices used for data collection, and the emergence of opportunities for obtaining more accurate analytical data. At the same time, despite the fact that enterprises cannot cover everything at once, they nevertheless working on their implementation strategies “Internet of Things”. Manufacturers are at different stages of implementation of the “Internet of Things”, or on different steps of the stairs (see sidebar) on the way to full-scale use of “Internet of Things”. Up the Internet of Things ladder

Stage 1: data retrieval Determining what data should be reflected in systems.

Placement of collection funds data (sensors connected to the Internet, controllers, cameras, measuring devices, smartphones, tablet devices, etc.). Providing data transfer capabilities via wired and wireless channels (Wi-Fi, local networks, mobile networks, and the Internet)

Stage 2: data collection and analysis collection, storage, and organization of data from using software tools, cloud servers – private, public, or hybrid clouds.

Executed with a high degree of detailing and in real-time control and analysis of the factory equipment, materials and processes, and electricity consumption.

Stage 3: providing actionable data to decision-makers

Data consolidated in the application using gateway platforms, serving as the basis for employee actions (for example, electronic sending notifications about possible failures in the operation of equipment); scalable, with the ability to extract data from external sources (for example, meteorological information).

Step 4: make full use of your data today and in the future

Data collection and analysis tools are gaining popularity in operations and find applications in the supply chain and distribution of products, thereby expanding the Internet of Things. New technologies emerge, mastered to empower interactions (e.g. 3D sensors, collaboration solutions, and social networks, augmented reality technologies, definitions location, 3D data visualization, wearable devices to monitor conditions in order to ensure the safety of workers – check more at B2B marketplace for industrial components SourceMe by this link).

Actively uses machine-to-machine communication (M2M) between high-tech production equipment, in particular industrial robots, 3D printers, etc. service business model, implying the provision of monitoring services product quality.

Manufacturers already implementing solutions “Internet of Things, are actively working in different directions, in order to improve the efficiency of your activities and (or) the quality of their products due to using “connected” devices. Investments are directed to the development of such areas as “smart” connected to the network IP sensors and telematics devices, solutions for mobile interaction personnel, digital tracking components, and products, organization of networks from production and Internet-based operational processes. In fact, only 13% of manufacturers reported that they are not implementing any of these technologies.