Odwiedź stronę
ConnectPoint

Smart RDM for
Manufacturing

Contact us
Smart RDM dla Produkcji to portal wspierający proces osiągania doskonałości operacyjnej.

Monitorowanie i analiza stanu produkcji poprzez:

  • Podgląd wskaźników wydajności w czasie rzeczywistym
  • Wykrywanie nieprawidłowości
  • Ograniczenie awarii
  • Monitorowanie stanów produkcji
  • Monitorowanie planów produkcji

Main uses of Smart RDM in Manufacturing

  • Breakdown detection
  • Visualization of machine status
  • Machine running diagnostics
  • Detection of production overruns
  • Based on machine ranking according to current machine status and importance
  • Improvement of business indicators, especially OEE
  • Repair and maintenance based on actual condition of equipment

What are the benefits of Smart RDM

OEE in real time
Reduction of failures and downtime
Accurate production planning and plan execution monitoring
Key production status information in real time 
Reduce of media consumption
Reduce repair costs

Smart RDM - standard version
Production Optimization in Five Steps

01. Data Integration

The first step is to integrate all key real-time production data.

Effect

Createa single source of truth for business systems securely separated from critical infrastructure.
Reporting, Monitoring and Analysis System
Online Monitoring

Visualization of analysis synoptics Alarm handling
Reporting

Operational and business
Optimisation

Calculation and advanced analysis module
Central Data Repository
Contract data Billing information
Billing systems
Measurement and process data (variables)
Industrial database SQL, SCADA, AIUT
Visualizacja monitorowania produkcji
Węzeł cieplny

02. Building context

The second step is to map the technical infrastructure and production processes in a digital model. Appropriate codification, delivered during implementation, will enable monitoring and analysis of the production line status. Each monitored element of the machine will have its own unique code in the system combined with corresponding data from measuring devices.

Effect

Ability to reliably compare infrastructure elements, analyze them and quickly add new elements to the model, such as a new factory, production line, sensor or indicator.

03. Visualization and monitoring

The third step is the digital mapping of processes on interactive synoptic masks. A digital schematic is prepared for each machine type so that operators have a real-time overview of the situation.

Effect

Overview of current and historical technical parameters of machines. Quick reaction to events.
Monitorowanie procesu
Sprawność wymiennika
Analiza Awarii
Zarządzanie zdarzeniami

04. Alarms and notifications

The system allows you to configure alarm thresholds and anomaly notifications for irregularities, schedule overruns, or performance. Events are integrated with notifications sent to defined users. The system operator has the ability to redirect events to the appropriate service along with the necessary information about the event and its location

Effect

Automation and reduction of failure handling time.

05. Analysis and reporting

The system enables efficient reporting. Reports can show the execution of plans, summary of machine status and other business indicators needed to analyze production efficiency.

Effect

Presentation of results to managers and identification of areas for optimisation.
Wizualizacja wydajności urządzenia
Raporty z węzłów

Smart RDM - extended version
Factory of the future – advanced industry algorithms

Once the basic needs of production status monitoring and data analytics are met, you can address the new challenges manufacturers will face with the Smart RDM tool. The business environment will push for faster and faster product delivery, better product quality and environmental measures. In the Big Data module, we use specialized computational algorithms to clean and populate data, calculate unmeasured parameters, detect anomalies, predict failures and reduce media consumption.
Predykcja zużycia energii

Example of implementation

Real-Time Production Monitoring

Twinings' goal was to optimize machine conditions and integrate the production process with business systems.