Organizations can use machine data to get valuable insights into their processes and machine performance. This helps them find areas to improve, boost productivity, decrease downtime, and increase yield.
In today's data-driven world, the ability to extract actionable insights from machine data is crucial for industrial businesses looking to stay ahead of the curve.
However, this task is easier said than done without the necessary machine integration and data processing capabilities.
Integrating machines into a cohesive system allows for a seamless flow of data, enabling organizations to make informed decisions based on real-time information.
Whether it be monitoring performance, predicting maintenance needs, or identifying trends, having the right integration capabilities in place is key to unlock the full potential of machine data.
Alleantia Edge Intelligence, together with its IoT Edge software, has all features to support customers in achieving the necessary shopfloor insights, with pre-built operational applications, and a customizable low-code application development framework.
EI-Apps can calculate key performance indicators for any machine, track work processes, generate reports, and create rich information datasets.
These outcomes can be used directly by customers through built-in dashboards and notification features, or by external systems integrated through the wide set of APIs available.
EI-Apps implement focused data analysis, data correlation and aggregation, status notification, visualization of machine data in real-time, providing shopfloor operators and managers with valuable information at their fingertips.
EI-Apps catalogue today includes robot performance monitoring, machine tools work tracking, OEE KPIs calculation and monitoring. Soon, will add consumptions measurement (energy, compressed air, gas) correlated with production data.
The Internet of Things (IoT) plays a crucial role in enhancing manufacturing processes, through the connection of machines, sensors, and devices, allowing for the real-time data collection.
However, ‘raw’ machine data, even when provided through standard protocols (e.g. OPC-UA, MTConnect) require additional processing to become actionable. And such processing requires customization for its use with different machines.
Semantic IoT data models provide a standardized way of representing and organizing machine data, ensuring application-machine interoperability and enabling the systems and applications integration.
Moreover, it implements standard IoT data models, together with the capability to merge contextual data provided by customer applications such as MES and ERP, through the vast array of available APIs.
By leveraging the Alleantia IoT Edge data models, EI-Apps can use a common language for machine data, allowing for easier data analysis, reduce waste, monitoring, functions implementation across different machines.
Alleantia EI-Apps provide manufacturers with immediate factory efficiency gains on the digital shopfloor through real-time monitoring and analysis of machine data, empowering operators with actionable information to optimizing shopfloor operations.
By leveraging these ready-to-use operational applications, organizations can streamline their operations, reduce manual effort, improving efficiencies, eliminating waste, and enhance overall efficiency quickly, without engaging in long and expensive integration projects for custom application development.
With the availability of standardized IoT models and context data, manufacturers can easily integrate these applications with external systems such as Business Intelligence and Enterprise Data Lakes and leverage the full potential of machine data.
One of the most crucial features of any application is its deployment process. A simple and efficient deployment method can save time, resources, and headaches for developers and IT teams alike. This key feature not only production quality but also allows for faster innovation and quicker time-to-market for new software releases.
EI-Apps are built as containers that can be embedded in the machinery (eventually on a dedicated IoT hardware) or deployed on a wide array of configurations, with a great flexibility in supporting different architectures, catering to the diverse needs of customers.
Using the MQTT communication protocol between Alleantia IoT Edge and EI-Apps expands deployment options.
EI-Apps can be deployed on the Edge, private cloud, or customer data centers. This method makes deployment easier and also allows for more scalability and adaptability in a changing digital shopfloor environment.
While standard EI-Apps provide immediate efficiency gains production processes, the possibility of EI-Apps customization adds an extra layer of flexibility and functionality to the digital shopfloor.
Alleantia releases periodically new Edge Application addressing new needs according to customer and market inputs, organizations can adapt existing EI-Apps to their specific requirements and functions, ensuring a tailored and optimized user experience.
Built on an open low-code software development platform, EI-Apps can be expanded and adapted by customers according to their unique needs. This flexibility allows organizations to address specific challenges, integrate additional functionalities, and align completely with the peculiar needs of each shopfloor. Customization also enables organizations to align the applications with their existing processes and workflows, ensuring seamless data integration and maximizing the benefits of digital transformation.