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 energy and utilities management platform provides features to directly support the routine of monitoring energy consumption of large industrial operations, as well as initiatives to increase energy efficiency. The monitoring functions allow the identification of opportunities for improvement in processes, stratifying the consumption of electricity according to various dimensions, and allowing the calculation of cost gains and, considering opportunities for diversification of the energy matrix, reduction of equivalent emissions. Electricity-intensive industries are intensely exposed to the volatility of energy prices, in both the short and long term. The acquisition of electricity in free market for energy – based on demand levels, seasonality, and other parameters of interest – therefore depends on a good degree of predictability of consumption levels and future prices. The Viridis platform naturally integrates consumption data collected in real time with prediction models of future consumption for different price scenarios, facilitating the management of procurement contracts and thus promoting end-to-end efficiency: from factory floor processes to complete management of the energy and utilities function. Learn more about our products.
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.