Processing, June 2020

26 Processing JUNE 2020 We Mix in Seconds Not Minutes The Bella Fluidized Zone Mixer by Dynamic Air achieves fast high capacity precision mixing of either dry bulk solids or liquids with solids Regardless of particle size shape or density materials are mixed with a fast effi cient and gentle action This makes the Bella mixer ideal for fragile products that cannot tolerate rough handling Start 2 Seconds 5 Seconds 10 Seconds Dynamic Air Inc St Paul MN info@ dynamicair com 1 651 484 2900 www dynamicair com MULTIPLE INDUSTRIES THREE BRANDS ONE POWERFUL NETWORK The Process Flow Network Processing Flow Control and Water Technology covers innovative solutions for the process manufacturing industries This network of brands reaches nearly 150000 purchase decision infl uencers Visit ProcessFlowNetwork com to fi nd out how we can help you build brand awareness and generate qualifi ed leads for your business The deterministic system supplies data to the general purpose system The general purpose system can use analytical and other results to inform the deterministic system of ideal operating values While the general purpose system has access to outside information from other IIoT field devices or higher level systems the deterministic system is carefully firewalled from these outside influences The deterministic system can integrate with controlled equipment and I O using the industrial PROFINET protocol Users now have a means to enable centralized data analysis on the cloud or decentralized analysis at the edge or any combination of both and closely coordinate it with real time control Enabling capability as a service Adding edge controllers or devices to any industrial system helps operators and maintenance personnel optimize and support the system It also creates new possibilities such as capability as a service for a new revenue stream For instance if processing equipment is supplied to an end user by an OEM that OEM may already offer a conventional service contract for providing consumables answering technical support calls and sending technicians to the field as needed Edge technology provides an opportunity for something more collaborative The OEM can view equipment errors and performance in near realtime over the cloud allowing it to better support the end user with online access while saving the expense and delays of travel An OEM can schedule shipments of consumables and repair parts based on equipment monitoring and may also be able to use this edge technology as a way to offer upgrades and enhancements In some cases it may make sense for the industrial equipment to be leased to the end user with payments structured based on equipment throughput and uptime Because the OEM is assuming more responsibility for the equipment performance they need greater visibility into its operation which edge technology can provide Renewable energy industry processes Industrial end users operate many types of processes For example established energy industry sites operate not only the power generation equipment but also many support systems that are processes themselves such as cooling water and steam systems Renewable energy producers such as hydropower microgenerators and even solar photovoltaic installations can be considered as processes where equipment operation must be optimized based on local conditions and power generation capacity must be appropriately matched with grid demand All these processes are opportunities to transform basic standalone controls into integrated IIoT enabled systems Edge analytics can process real time and forecasted weather data particularly critical for solar installations in combination with grid data to determine optimal operating levels Equipment performance can be tracked to enable predictive maintenance lowering operating costs and minimizing outages Micro generation sites are locally controlled and they can be linked in an economical and flexible fashion Progressive operators begin by adding IIoT systems in parallel with existing equipment to gather as much relevant data as possible For new installations they can specify IIoT ready edge controllers Once the data is available operators can incrementally and systematically deploy edge based and centralized analytics using subject matter experts and machine learning algorithms to improve efficiency Eventually procedural approaches can be codified within controllers to realize completely automated and optimized systems Process optimization begins at the edge Industrial operators of all types are investing in ways to deliver improved value through automation Figure 3 An Emerson edge controller can directly operate the process supply data for edge analysis and interact with enterprise systems