Emasesa begins its journey in Industry 4.0 with an emblematic technological project that will integrate the 6 SCADA systems used by the company for the real-time supervision and control of all the facilities into a single SCADA platform.
The project is configured as an Operational Intelligence platform with advanced data analysis capabilities that contemplates not only the unification of multiple control applications, distributed in a new SCADA system with centralised management but also many of the latest trends in the environments of the Operation Technologies (Layers 7 of operation and maintenance in the BIM model, visualisation of the application in a GIS environment, automation of communication and information flows, pre-production environments for testing and maintenance of applications, implementation of change control systems and management of the integral cycle of assets). This is a highly complex initiative that will facilitate alignment with the company's requirements for optimal asset management, high availability and security, all within a context of special attention and care for resources and the environment.
The project has been awarded to the Aquatec (SUEZ) - ICR joint venture) and the execution period is set at 3 years. During the same, the different existing supervision systems will be integrated into a SCADA 4.0 with Wonderware Archestra technology that will optimise the management of processes and alarms. The platform will be focused on support cost efficiency and effectiveness in the development of industrial control systems engineering with a single project standard for the whole of Emasesa. Continuous real-time monitoring of processes and operations through advanced analytics will enable the identification and detection of unwanted situations that could correspond to interruptions, failures or bottlenecks in daily operations. The new operational intelligence platform will enable operations to focus on the intelligent analysis of processes, allowing decisions and actions in operations to be based on real-time data.