The way the technology works is as follows: sensors, actuators, controllers and human-machine interfaces are initially installed on key pieces of equipment, after which information is collected, which then allows the company to acquire objective and accurate data on the state of the enterprise. The processed data is delivered to all departments within the enterprise, which helps to facilitate collaboration between employees across departments and inform decision-making.
In addition, companies can replace quickly outdated paper documentation, as well as accumulate expert knowledge of specialists.
The information gained can be used to prevent unplanned downtime, equipment breakdowns, reduce unscheduled maintenance and supply chain management failures, thereby allowing the company to function more efficiently.
When processing huge amounts of unstructured data, filtering and adequately interpreting it is a priority for enterprises. In this context, the correct presentation of information in a user-friendly form is of particular importance, for which today the market offers advanced analytical platforms designed to collect, store and analyze data on technological processes and events in real time.
According to a study by the IDC consulting company, in 2011 mankind generated 1.8 zettabytes of information. In 2012, the volume of valuable data almost doubled and amounted to 2.8 zettabytes. By 2020, this figure will reach 40 zettabytes. Such large amounts of data need to be processed in order to be used in the decision-making process.
In order to avoid downtime and to maintain safety in the enterprise, it is essential to implement technologies that detect and predict risks. Continuous proactive monitoring of key indicators provides the opportunity to identify problems and take the necessary steps to resolve them. For the convenience of operators, modern systems allow visualizing process conditions and identifying factors affecting them through any web browser. Operational analysis helps users find the causes of problems faster.
These solutions turn production data into useful information that is essential for the safe and efficient management of the enterprise.
Implementation of such technologies enables enterprises from different industries to gain certain advantages: increase the efficiency of production assets utilization 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%
Thus, new technologies allow enterprises in various industries to achieve significant competitive advantages.