Industrial Internet of Things – IIoT

The Industrial Internet of Things is a multi-level system that includes sensors and controllers installed on the nodes and assemblies of an industrial facility, means for transmitting collected data and their visualization, powerful analytical tools for interpreting the information received, and many other components.

What is the Industrial Internet of Things

Common terminology

Internet of Things (IoT, Internet of Things) is a system of interconnected computer networks and connected physical objects (things) with built-in sensors and software for collecting and exchanging data, with the possibility of remote control and management in an automated mode, without human intervention.

Industrial (often Industrial) Internet of Things (IIoT) – Internet of Things for corporate / industry applications – a system of interconnected computer networks and connected industrial (production) facilities with built-in sensors and software for data collection and exchange, with the possibility of remote control and control in an automated mode, without human intervention.

In industrial use, the term “Industrial Internet” is used. Further in the text, to simplify perception, instead of writing “industrial Internet of things”, the term “Internet of things” is used in this context.

How the Industrial Internet of Things Works

The principle of operation of the technology is as follows: initially, sensors, actuators, controllers and human-machine interfaces are installed on key parts of the equipment, after which information is collected, which subsequently allows the company to acquire objective and accurate data on the state of the enterprise. The processed data is delivered to all departments of the enterprise, which helps to establish interaction between employees of different departments and make informed decisions.

In addition, companies can replace rapidly outdated paper documents, as well as accumulate expert knowledge of specialists [1].

The information obtained can be used to prevent unplanned downtime, equipment breakdowns, reduce unplanned maintenance and supply chain management disruptions, thereby allowing the enterprise to function more efficiently.

When processing a huge array of unstructured data, filtering and adequate interpretation is a priority for enterprises. In this context, the correct presentation of information in a form understandable to the user is of particular importance, for which advanced analytical platforms are presented on the market today, designed to collect, store and analyze data on technological processes and events in real time.

According to a study by the consulting company IDC, in 2011, 1.8 zettabytes of information were generated by mankind. In 2012, the volume of valuable data almost doubled to 2.8 zettabytes. By 2020, this figure will reach 40 zettabytes. Such large amounts of data require processing in order to be used in the decision-making process.

Avoiding downtime and maintaining security in the enterprise requires the introduction of technologies that can detect and predict risks. Continuous proactive monitoring of key indicators makes it possible to identify the problem and take the necessary measures to solve it. For the convenience of operators, modern systems allow visualizing the conditions of technological processes and identifying the factors that influence them using any web browser. The online analysis helps users find the root cause of problems faster. In addition, supply chain optimization tools include various search catalogs and search engines for specialized industrial components, for example, the SourceMe B2B marketplace (https://sourceme.com), which provides information on trusted industrial component manufacturers, sensors (rotary encoders, linear encoders, etc.) as well as catalogs of their products.

These solutions turn production data into useful information that is necessary for the safe and efficient management of the enterprise.

The introduction of such technologies enables enterprises from different sectors of the economy to obtain certain advantages: to increase the efficiency of using production assets by 10% by reducing the number of unplanned downtimes; Reduce maintenance costs by 10% by improving procedures for predicting and preventing catastrophic equipment failures and identifying inefficient operations; increase productivity by 10%, increase energy efficiency and reduce operating costs by 10% through more efficient use of energy. Thus, new technologies allow enterprises in various industries to achieve significant competitive advantages.