Finland-based company ZYFRA, specializing in Artificial Intelligence (AI) and Industrial Internet of Things (IIoT) based solutions for the industries, became a Silver Sponsor for the IoT Solutions World Congress in Barcelona.
As the Congress kicks off on October 16,the world leading companies for IoT development will present their solutions for Europemarket.
“Industry is one of the pillars of the European economy – the manufacturing sector in the European Union accounts for 33 million jobs and 60% of productivity growth. And we at ZYFRA are seeing a greater potential for digitalization of European manufacturing industries and Spanish in particular, especially in metal manufacturing and automotive sectors” – said Dmitry Lukovkin, AI Business Director of ZYFRA.
As one of the IOTSWC major speakers, Dmitry Lukovkin, is going to take a panel-speech covering the topic of “Artificial intelligence for oil and gas industry processes control and optimization. AI perspective and lessons learned”.
At IOTSWC ZYFRA will introduce its Real-time machine data collection system MDCplus that can be used to track jobs, operations, work centres, scrap, costs, downtime and people. It will also demonstrate its Industrial AI-solutions that can either predict quality and product properties, or recommend process settings and material usage. The company is applying cutting edge data science combined with industrial expertise to provide end-to-end solutions for optimizing production speed, quality, and costs for industries such as machinery, metallurgy, oil and gas and mining.
“Smart manufacturing (the term refers to IoT and AI) is projected to grow noticeably in the 3 to 5 years. Recent surveys showed 92% of senior manufacturing executives believe that “Smart Factory” digital technologies such as artificial intelligence will allow them to improve their degrees of productivity and empower their staff to work more intelligently. Some even account for smart manufacturing market volume to increase to over $320 billion by 2020,” said Mr.Andrey Lovygin, International Business Development of ZYFRA.
ZYFRA was also selected as a participant of a TESTBEDS section of the IOTSWC with its “Digital advisor for pipe-rolling production” solution. Digital Advisor is a recommendations system for industrial enterprises that presents to the operator a specific guide to action to achieve the target parameters (energy efficiency, quality, productivity).
At its show-bench (Pavilion 2, Level 0, Street D, Stand 471) the company will offer exhibition visitors a steelmaking challenge on its simulator in a “man VS machine” format, where one will be able to find out whether he or she could do the job better than an AI.
ZYFRA, founded in November 2017, currently operates in Bulgaria, Finland and India. The company connected over 7,000 CNC machines.ZYFRA technologies allow customers to drastically boost machinery utilization efficiency and improve the accuracy of product quality prediction. With its software, hardware and services a customer can transform his production into digital.
Evolutionary development of industry from mechanization to industrialization, and thenfrom automation to Industry 4.0 is characterized by the massive use of various sensorsfor the collection and exchange of information integrated with intelligent systems.
The Industrial Internet of Things (IIoT) is a computer network consisting of elements of industrial equipment, scientific tools, equipped with technologies of interaction with each other and the external environment. The goal of the Internet of Things is to change the technological and business processes in such a way as to increase their efficiency and significantly reduce the need for human participation in making routine decisions related to the management of objects in such networks. In a general sense, IIoT can be equated to fully automate digital production.
The introduction of such technologies will enable enterprises from different sectors of the economy to increase the efficiency of the use of production assets, for example, by reducing the number of unplanned outages, forecasting and preventing emergency equipment failures, increasing energy efficiency through more economical use ofenergy, guaranteeing stable output quality, and ultimately increase productivity.