How can high-resolution real-time data acquisition be implemented in port crane operations?

A robust real-time acquisition setup requires continuous integration of heterogeneous signal sources via standardized interfaces. With ibaPDA, control, sensor, and drive signals can be recorded time-synchronously. The data is visualized in real time and stored in ibaHD-Server for further analysis. This creates a continuous data foundation for operational decision-making and process optimization.

How can process data be used to improve efficiency in port logistics operations?

Continuous analysis of all relevant process signals enables the identification of bottlenecks and inefficient movement patterns. Using ibaAnalyzer, detailed evaluations of lifting motions, cycle times, and downtimes can be performed. Even minor time losses per cycle become visible and measurable. This allows targeted optimization measures that significantly impact overall throughput at high operation volumes.

How can data analytics improve the availability of container cranes?

Continuous online monitoring of all relevant signals enables early detection of anomalies and malfunctioning behavior. ibaPDA acquires and visualizes relevant data in real-time. Thus, critical conditions can be identified and addressed immediately. Historical analysis in ibaHD-Server helps detect recurring fault patterns. This reduces unplanned downtime and allows more targeted maintenance planning.

How can false alarms be systematically reduced in complex handling processes?

False alarms often result from missing context or insufficient signal correlation. By capturing and analyzing all process data holistically with ibaPDA and ibaAnalyzer, relationships between signals can be identified. This allows root causes of false alarms to be determined and filtering or logic rules to be refined. The result is significantly improved signal quality and reduced operator workload.

How can process data be structured for reliable long-term analysis and reporting?

A scalable data architecture with continuous storage is essential for reliable long-term analysis. ibaHD-Server enables structured archiving of large data volumes over extended periods. With ibaAnalyzer, this data can be transformed into reports, KPIs, and quality metrics. Automated reporting provides a transparent and data-driven basis for decisions in operations, maintenance, and management.

Real-Time Acquisition, Visualization & Monitoring

Freight ports are the most important transhipment centres in the world. In Antwerp alone, approximately 10 million containers are loaded and unloaded annually, with the number of freight containers increasing by almost 22 percent in the last 10 years. Even minor optimizations lead to enormous increases in efficiency due to the numerous loading and unloading processes.

Ensuring the integrity

of man and machine

Live online monitoring

of all relevant signals

Saving valuable seconds

due to optimized processes

The Technology

The aim of the project is to save millions of valuable seconds by optimising the lifting paths of the containers and minimising hours of crane downtime. Furthermore, potential sources of damage – which seriously threaten the integrity of man and machine – are rendered harmless. Those responsible therefore rely on a comprehensive data acquisition system. This makes it possible to continuously record all incoming signals and then evaluate them. This allows the port operator to keep an eye on all signals throughout. As a result, loading processes are optimized, false alarm sources are detected and rendered harmless, and crane operators are supported in a target-oriented and discreet manner at every lift.

A brightly lit port at night with towering orange gantry cranes stacking colorful cargo containers.

Using any combination of the many standard interfaces which are supported within ibaPDA, all relevant signals are continuously captured. The signals are then visualized and monitored in real-time. Next, all signals are recorded in the ibaHD-Server historian. Finally, the data can be transformed into meaningful quality data with ibaAnalyzer to create long-term analyses. Reports with corresponding verification information can be automatically created for documentation purposes.

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Even small optimizations during the loading process lead to enormous increases in efficiency.

Dries Boone
General Manager, iba Benelux

Used Functions

The following functions of the iba system are used in this success story.

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Frequently Asked Questions (FAQ)

How can high-resolution real-time data acquisition be implemented in port crane operations?: A robust real-time acquisition setup requires continuous integration of heterogeneous signal sources via standardized interfaces. With ibaPDA, control, sensor, and drive signals can be recorded time-synchronously. The data is visualized in real time and stored in ibaHD-Server for further analysis. This creates a continuous data foundation for operational decision-making and process optimization.
How can process data be used to improve efficiency in port logistics operations?: Continuous analysis of all relevant process signals enables the identification of bottlenecks and inefficient movement patterns. Using ibaAnalyzer, detailed evaluations of lifting motions, cycle times, and downtimes can be performed. Even minor time losses per cycle become visible and measurable. This allows targeted optimization measures that significantly impact overall throughput at high operation volumes.
How can data analytics improve the availability of container cranes?: Continuous online monitoring of all relevant signals enables early detection of anomalies and malfunctioning behavior. ibaPDA acquires and visualizes relevant data in real-time. Thus, critical conditions can be identified and addressed immediately. Historical analysis in ibaHD-Server helps detect recurring fault patterns. This reduces unplanned downtime and allows more targeted maintenance planning.
How can false alarms be systematically reduced in complex handling processes?: False alarms often result from missing context or insufficient signal correlation. By capturing and analyzing all process data holistically with ibaPDA and ibaAnalyzer, relationships between signals can be identified. This allows root causes of false alarms to be determined and filtering or logic rules to be refined. The result is significantly improved signal quality and reduced operator workload.
How can process data be structured for reliable long-term analysis and reporting?: A scalable data architecture with continuous storage is essential for reliable long-term analysis. ibaHD-Server enables structured archiving of large data volumes over extended periods. With ibaAnalyzer, this data can be transformed into reports, KPIs, and quality metrics. Automated reporting provides a transparent and data-driven basis for decisions in operations, maintenance, and management.