The Industrial Internet of Things (IIoT) platform developed by MonoMcompany from Grupo Álavaoffers a digitized management model in all processes that facilitates progress in digital transformation and centralized management of operations from a single platform.
MonoM works in cloud environments and with technologies such as Artificial Intelligence, Big Data and Extended Reality. It is responsible for unifying the management, control and modeling of scenarios in a single environment, and its design is designed to offer maximum ease of use. So much so that access to its interfaces and its control panel is agile and possible from practically any electronic device. Everything so that your users have access, from a single point, to all the data they need to make decisions.
MonoM: integrated management and preventive maintenance of processes
MonoM allows you to manage any function related to the preventive maintenance of equipment and facilities, with the management and improvement of quality control and with the digitization of processes. All this in addition to allowing you to carry out virtualized maintenance tasks, and receive alerts and warnings in real time.
The platform allows direct connection with industrial devices using the industrial protocols OPC UA and Modbus (OT sources) and cameras, as well as with IT sources via REST API, SQL, S3 or other standards.
Its flexibility grows thanks to its own “marketplace”, from which you can add your own and third-party applications, as well as custom ones, to the platform. In this way, it is possible to increase their capacities, in addition to adapting them to the particular needs of companies from different sectors of the industry, such as water, wind energy, hydraulics or Oil & Gas.
Its connectivity manager streamlines the connection and communication with IT and OT systems to obtain the information they generate. With it, users of the platform can obtain useful information for decision-making, through the cloud or from devices at the edge. It offers more than a dozen specific connectivity modules, as well as others developed for the main industrial protocols.
Artificial intelligence for digital twins
MonoM is also prepared for the deployment of previously trained multivariate Artificial Intelligence models. With them, intelligence is provided to the digital twins, key pieces for the platform, since they are in charge of giving context to the data collected through different sensors (vibration, pressure, temperature, electricity, etc.). But also to the configurations, models and documentation of the different industrial processes.
The platform allows operations to be carried out ranging from the analysis of the situation of any connected equipment and system, as well as the management of its operation. Artificial intelligence models make it possible to discover possible anomalous behaviors that may occur in the future, and thus act preventively, avoiding a total stoppage of the analyzed asset.
In the event that there is any incident, or it is expected that there may be one in a relatively close period of time, detected in the analysis models implemented, the users of the platform receive a notice so that they can take charge of making the appropriate decisions.
Thanks to this, companies from all kinds of industrial sectors or even public water management companies can make decisions more easily to advance their digitalization strategy and operations. They will also be able to do so while reducing costs, optimizing and improving the quality of their processes, increasing their safety and extending the life of their equipment and systems.
According to José Fernández-Díez, Executive Vice President of Grupo Álava, and CEO of MonoM“The MonoM platform, which adds Artificial Intelligence to Industrial IoT systems, allows optimizing data collection and its subsequent processing and analysis. It also gives the opportunity to perform preventive maintenance of systems and infrastructure. With it, companies save costs in their digitization and operations. In addition, they will be able to adapt the platform to the needs of their sector and activity, maintaining the integrity and security of their data.”.
