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Real-time access to process data – now available to everyone.

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IoT DBR77 is a comprehensive system for real-time data collection, transmission, archiving, and analysis from machines, sensors, and applications within a facility. This intelligent solution enables companies to monitor and optimize all key aspects of production and logistics, providing complete process visibility and precise insights to support automation and decision-making.

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1. Versatility

Supports a wide range of industrial equipment, from legacy devices to modern systems, ensuring full compatibility across diverse environments.

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2. Adaptation to Needs

The system adapts to the specific requirements of each facility, is scalable, and suitable for various processes. It enables seamless integration with the existing production environment.

3. Cloud Integration and Real-Time Analysis

Designed for real-time data processing in the cloud, providing instant insights and enabling rapid decision-making.

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4. Advanced Security Standards

Ensures secure data flow with multi-layered protections, effectively safeguarding critical operational data.

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1. Cycle Time Data Collection

Establishes standard times for specific operations and monitors actual cycle times, enabling precise performance analysis.

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2. Collecting Efficiency Data at Workstations

Supports the calculation of OEE (Overall Equipment Effectiveness), enabling the assessment of individual production workstation performance.

3. Collecting Data on Efficiency Loss Causes

Gathers information on machine downtime and quality issues to identify and eliminate sources of inefficiency.

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4. Collecting Facility-Specific Data

Captures key data on resource consumption and site-specific events, supporting monitoring and optimization of resource management.

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Data Collection

The system collects data from various sources, including external sensors, visual indicators, and mobile applications. It can integrate directly with machines using interfaces like MODBUS, enabling precise monitoring of key production floor parameters such as cycle times, workstation efficiency, downtimes, and resource consumption.

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Communication

After collection, data is transmitted to the cloud via an advanced communication module called a data broker. System modules communicate through Wi-Fi, LoRaWAN, or mobile data transmission, ensuring stable and secure data transfer. This module ensures a continuous flow of data to the cloud, enabling real-time processing.

Archiving

In the cloud, data is indexed by time and stored in a structured format, allowing for easy verification and integration. The system includes validation functions to ensure data integrity and analytical value. Anomalies are identified by algorithms, supporting early detection and prevention of issues.

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Data Utilization

Collected data is used to generate real-time reports, support the digital twin, and create alerts and notifications in the application. With advanced algorithms and artificial intelligence, data can be processed and analyzed to facilitate data-driven decision-making and optimize production and logistics processes.

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Hybrid and Comprehensive System

IoT DBR77 collects all key data needed to improve operational efficiency, offering full visibility into production and logistics processes for better data-driven decisions.

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Easy and Flexible Integration

The system seamlessly integrates with existing systems and devices, enabling data collection from multiple sources and its broad use across the organization. This ensures a smooth data flow between systems and supports process optimization at various levels.

Adaptability and Scalability

Thanks to its modular design, DBR77’s IoT system is suitable for companies of all sizes and can scale with the organization. The system adjusts to the facility’s individual needs and grows alongside the company.

Cost Efficiency

DBR77’s IoT system is quick to implement and does not require modifications to existing infrastructure. Since it operates in the cloud, there is no need for additional hardware investments, significantly reducing costs and simplifying the management of technological infrastructure.

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The IoT DBR77 technology plays a pivotal role within the platform ecosystem, complementing the Digital Twin and Marketplace. Facility efficiency optimization using the Digital Twin and effective robotization via the Marketplace require accurate data collection and meaningful insights. Reliable historical data directly impacts the quality of decisions, influencing overall operational efficiency.

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