Capula is set to launch OPUS, its advanced building performance management solution, at the Industry 4.0 Summit in Manchester on 4th – 5th April. OPUS has been designed to allow organisations of any size to manage a range of operational functions including power, water, HVAC, and security systems world-wide through a single, integrated interface.
Industrial companies must operate a wide variety of built assets, from production facilities and warehouses to R&D laboratories and offices. Each of those facilities will contain its own systems to control utilities, heat, light and access, as well as dedicated production and test equipment. Today, most of that equipment is managed and controlled independently, leading to inefficiencies, duplication of effort and high costs.
OPUS uses advanced industrial Internet of Things (IoT) technologies to integrate all those services into a single platform, regardless of the equipment manufacturer or communication protocol used. This simplifies management and greatly improves oversight and control. The solution builds upon Capula’s four decades of systems integration expertise, and its deep experience developing control and monitoring solutions for the water, power distribution and manufacturing sectors.
“With OPUS, we have developed an offering that directly addresses a significant challenge for many companies,” says Alastair Norman, Business Manager of Operational Intelligence at Capula. ”It’s also a great example of exactly what can be achieved using the power of today’s IoT technologies and open communications standards.”
OPUS is built on PTC’s ThingWorx IoT development platform. The solution is the first outcome of a new partnership between Capula and PTC, announced earlier this year. Visitors to the Industry 4.0 summit will be able to see a demonstration of the system using live data from a range of IoT-enabled sources. Capula experts will also be on hand to talk about the system, and to share insights from their experience in applying IoT and Industry 4.0 technologies to the most demanding real-world problems.