The Viridis platform is extensively based on the concepts of the Internet of Things, Big Data, and Industry 4.0, as it is capable of capturing, storing and processing large volumes of data on the consumption of energy and utilities of any operational unit, whether a specific machine or a production process as a whole. These data, combined with information about the context in which they were recorded (production plans, process variables, operational parameters, among others), makes possible, using the techniques of Machine Learning, the construction of predictive models that are combined to create a digital representation of that asset – a digital twin. The large integration capacity of the platform facilitates the capture of relevant data, while its modeling and visualization capabilities make the use, interpretation, and evolution of digital twins easy, resulting in significant value creation for our clients. Click here to learn more about our solutions.  

Viridis offers a cloud-based commissioning model using Cloud Computing environments, with the option of public or private cloud environments. There is also the option of using the environment contracted by the client from their current cloud providers. In both cases, data communication with the sites is performed by the Viridis IoT Gateway, a technology developed by Viridis exclusively to provide bi-directional integration in real time with multiple local systems, in addition to performing edge analytics. Commissioning in the cloud offers federated authentication, public or private cloud, and encryption, among other features to provide the highest level of trust and security. Click here to learn more about our solutions. 

The Viridis platform is extensively based on the concepts of the Internet of Things, Big Data, and Industry 4.0, as it is capable of capturing, storing and processing large volumes of data on the consumption of energy and utilities of any operational unit, whether a specific machine or a production process as a whole. These data, combined with information about the context in which they were recorded (production plans, process variables, operational parameters, among others), makes possible, using the techniques of Machine Learning, the construction of predictive models that are combined to create a digital representation of that asset – a digital twin. The large integration capacity of the platform facilitates the capture of relevant data, while its modeling and visualization capabilities make the use, interpretation, and evolution of digital twins easy, resulting in significant value creation for our clients.

The Viridis platform employs a CEP - complex event processing - framework to analyze and process events generated by various sources. Energy meters, commercial contracts, or even production forecast scenarios generate events that are processed through expressive, human-friendly rules. Different actions may be triggered including notifying personnel in real time on their mobile devices, or even interfacing directly with control systems for automated corrective action.