DataHub use case
A major European oil producer needed a way to improve data communications between its offshore platforms and corporate offices. Faced with reduced production from aging wells, the company was looking for ways to optimize production and cut costs by leveraging real-time data from their production systems.
On over a dozen offshore platforms they have installed a copy of the Cogent DataHub and configured each of them to connect to various sensors and other data sources using OPC YES.
Then they configured those same DataHubs for OPC DA tunnelling. At headquarters, they installed a single Cogent DataHub and connected it to all DataHubs running on the platforms. With all the offshore data now aggregated into a single onshore DataHub, they connected that DataHub to several OPC clients to feed this data to HMIs and databases. Using the DataHub Bridging feature, they were able to convert data point names from offshore installations into more meaningful names for office staff (simplified TAG management).
For the first time, the company now had a collective view of all of its real-time manufacturing systems. by systematically collecting data and analyzing it, they were able to optimize their production levels and increase their efficiency. At the same time with real-time connection directly from the platforms, they have been able to transfer some personnel from offshore platforms to the central office, increasing employee satisfaction and cutting costs.
What does Skkynet do?
Skkynet provides software solutions and services for secure, real-time industrial data communications. DataHub® middleware technology is available for embedded systems, cloud applications and as on-premise software, allowing users to capture, monitor, control,
view, securely network and consolidate real-time process data over insecure networks. Our patented approach is based on security-by-design and allows you to reshape system architecture giving users (at different company levels) access to plant data, keeping critical systems safe behind closed DMZs and firewalls . Skkynet is actively involved in developing solutions forIndustrial Internet of Things (IIoT) and applications Industry 4.0.
What problems does it solve?
Skkynet solves the problem of secure access to process data. In the past, the critical infrastructure and industrial systems they were isolated from corporate networks and the Internet, making access to Industrial Big Data difficult or impossible. With the advent of digitalization, IIoT, Industrie 4.0 (and the need for remote access to industrial systems during the COVID 19 pandemic) companies now require access to their industrial data in real time like never before. However, traditional technologies based on a client-server model require firewalls to be opened for access the data of the "plant floor". Solutions using VPN or MQTT are not adequate to meet the needs of securely isolating corporate networks and operations while still providing access for monitoring and control of mission-critical systems. Skkynet uses our protocol (DHTP) to allow the two-way data flow between networks through proxies and DMZs, which means secure data communications between the operational and management levels of a company, including cloud platforms.
Who are your customers and fields of application?
Users of Skkynet software and services are found in all industries: Energy, Oil & Gas, Minerals & Mining, Manufacturing, Food & Beverage, Pharma & Healthcare, Machines & Tools, Transportation and many more.
Among our major customers are system integrators such as Siemens, AVEVA, ABB, Yokogawa, Honeywell, Metso, and dozens of specialized integrators. End users include Shell, GSK, Air Products, Gamesa, Caterpillar, IBM, GE, Equinor, Goodyear, BASF, SCG, Tata, Fuji Electric, TEVA, Kimberley-Clark, E.ON, HeidelbergCement, Boeing, Gazprom, Bombardier and Bank of Canada, to name just a few.
These customers and system integrators use Skkynet software and services to access, integrate and redistribute their process data, allowing them to manage their systems more efficiently and reduce costs.
