Implementation of process data acquisition and monitoring systems
Production monitoring or process data platforms are becoming a key element of digital transformation in many sectors. They enable monitoring, management and optimization of resources on an unprecedented scale. Thanks to advanced algorithms and integration of data from OT sensors, IoT allows companies to monitor critical system parameters or KPIs, make faster and better decisions, increasing operational efficiency. Our services and solutions offer wide possibilities in terms of integration with data analysis, forecasting and process automation platforms. Using process data monitoring, you can significantly improve the operation of key resources in real time in your organization.
We are the leader in Aveva PI and Aveva Edge implementations.
Modeling the solution architecture
Support in modeling the target solution architecture in accordance with best practices and recommendations. Assistance in defining requirements for the PI system size and necessary infrastructure.
Integration with OT systems
Comprehensive support for data transfer to the process data server from any data source. Installation and configuration of interfaces, including creation of required data points, configuration of buffering, appropriate permissions and diagnostic points (interface health, data flow monitoring). We also offer custom solutions for unsupported protocols and data sources.
Integration with business systems
We have experience in integrating OT systems with business systems. We integrate the AVEVA PI system with SAP, IFS, ArcGis ESRI, among others.
Structuring data and building asset trees
Building a data model in line with the client’s business requirements and best practices. Standardization of process data in the organization using tools for handling and contextualizing process data (asset frameworks). We offer a comprehensive analytical model with a variety of calculations, including event frames and notifications from process data.
Building dedicated business applications
We design, deliver or integrate applications that extend the functionality of the process data acquisition and monitoring system for business users.
Training
We provide training and training materials covering all implementation components of the data monitoring system from interface configuration through Asset Framework modeling or creating visualizations. We organize remote training, on-site at the customer or in our offices.
Process data analysis and validation
Process Data Management and Validation: We build automatic process data validation processes based on advanced algorithms developed by an experienced Data Science team. Our tools enable manual data validation, with the possibility of correcting them and saving correct values in the system. Supported by industry knowledge, we also offer customizable workflows that streamline process data management in the organization.
Construction of analytical models
We use advanced analytical models and Artificial Intelligence to extract information from huge data sets. We build and integrate data lakes and big data repositories to combine distributed data into key information. We use computing power to combine information and machine learning algorithms to build digital twins for the Client’s critical devices. We identify patterns, trends and anomalies that improve operational efficiency and provide competitive advantage. Our models enable predictive maintenance by predicting device failures and performance degradation, reducing downtime and reducing maintenance costs.
Cloud w IoT
The cloud plays a key role in IoT integration, enabling the management of large amounts of data in a scalable and efficient manner. Our cloud-based IoT platform offers remote monitoring, real-time data analysis, and central device management. This solution enables enterprises to make data-driven operational decisions faster, while ensuring the security and flexibility of their processes. Using the cloud in IoT is a step towards full automation and optimization of operations.
Data quality monitoring
A system for collecting, organizing, and visualizing diagnostic data from infrastructure, production monitoring system components, and related business applications. Monitoring diagnostic data from the server, network infrastructure, and business applications such as the reporting system or data warehouse. Configuration of dedicated alerts and notifications for selected system components.
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Visualizations and Reporting
Management and operational screens
We provide visualizations that present real-time process data. Users can monitor processes on a computer, tablet or mobile device from anywhere. Visualizations can be presented in the form of dashboards, charts, graphs or interactive tools that update in real time, showing the current status of production, including:
- Machine performance
- Key performance indicators (KPIs)
- Downtime monitoring
- Order statuses
- And many more
Real-time dashboards can significantly improve decision-making, identify inefficiencies, reduce delays and optimize production processes.
Digital Twin
The Digital Twin tool creates a digital replica of your infrastructure that constantly reflects its physical state. Thanks to the data stream from IoT sensors, you can constantly monitor your assets and make decisions based on real information. The Digital Twin enables forecasting and optimization of operations, which allows companies to increase operational efficiency and reduce risk. This advanced tool becomes a strategic support for infrastructure management in a dynamically changing environment.
OT and IT Consulting
Audit of the process data monitoring system
Verification of the security of selected process data monitoring systems, including architecture, identifiers, maps, group and firewall configurations. Performance reports and analysis of services and notifications. Detailed analysis of system errors and warnings.
Signal naming convention
Creating a process data naming standard for organizations in accordance with industry standards. Support in standardizing the asset tree structure model and other components of the process data monitoring system
IoT Platforms
IoT platforms are becoming a key element of digital transformation in many sectors. They enable monitoring, management and optimization of assets on an unprecedented scale, while offering low cost of ownership. Thanks to advanced algorithms and integration of sensor data, IoT allows companies to increase operational efficiency. Our IoT solutions offer extensive possibilities of integration with data analysis, forecasting and process automation platforms. Using IoT, you can significantly improve the performance of key assets in real time.
Communication and telemetry modules (Custom Hardware)
For specialized IoT applications, standard hardware solutions may not be enough. We offer custom hardware tailored to your company’s specific needs, ensuring optimal performance and integration with existing systems. Our approach allows us to create devices that meet the most demanding industry standards. Custom IoT hardware is the perfect solution for companies that need maximum control over their processes and systems.
- Communication modules and solutions for monitoring energy flow in transformers
- Telemetry modules for data acquisition from heat meters and remote control of heating substations
Contact us and discover all the possibilities our solutions offer
Together we will match technologies that will accelerate the development of your business!