We offer a SaaS warning system monitoring the loads in container stacks in real time. This secures safe shipping, and a reduce loss of containers at sea.
Instant warning of excessive loads in container stacks.
Real time monitoring of ship motions.
Logging of ship motion data for hind-sight analysis.
Alert ship crew on possible risk
Better informed routing
reducING container loss
SensoriumC assists the captain and his crew during complete process of loading preparation, monitoring cargo while sailing and reporting when the destination is reached.
Before sailing SensoriumC checks incoming files against the Container-Securing-Manual (CSM) and the class rules to ensure an optimal and save loading of the cargo. The system calculates stack-weights and lashing loads. It shows the location of reefers and dangerous goods containers and makes it easy to check the effect of changes to the stacking or lashing.
While sailing, the system monitors the loads in the container stacks and shows these in immediately to the crew. This is done by combining measured ship motions and the present cargo information from the EDI/BAPLIE-file. A real-time, three-dimensional view on the loads in the container stacks can be shown on any computer in the ships network. It includes the loads in container posts, container racking loads and loads in lashings and twistlocks. If any load approaches a critical limit the crew can take evasive actions, like changing course or speed.
Logging of all critical data enables reporting the loads of past trips at any time during a past trip. Detailed analysis of these data can help to reveal possible failure mechanism when needed.
SensoriumC includes all mayor class-rules and be adapted to meet any other requirements. Our fast solver can check the class rules for any size container ship within seconds.
Our thorough understanding of ship motions, physics, software development and sensor technology provides you with the most advanced tools to detect the loads in your container stack. Unlike other systems, SensoriumC informs the crew in an early stage of potential unsafe behaviour of container stacks.
2000+ containers lost every year
Every year over 3000 containers are lost at sea causing a tremendous impact on the environment. Incidents like those with the MSC-ZOE (2019/263 containers lost), the ONE-APUS (2020/1800 containers lost), MAERSK-ESSEN (2021/750 containers lost), MAESK-EINDHOVEN (2021/253 containers lost) have gained attention in the media but many smaller incidents do not get this attention.
The impact of these losses became clear on January 1st, 2019 when the content of the containers of the ZOE washed up on a large part of the Dutch coast and into the UNESCO Nature Reserve ‘de Waddenzee’ . Small plastic particles were spread through water and over land, affecting the population of birds for years to come.
As a consequence of climate change, weather is becoming more and more unpredictable, making it harder to avoid storms and large waves. Crews should therefore be more alert and get timely warnings when the ship-bahavior changes. Providing imitate feedback to the crew is therefore crucial and this is where SensoriumC excels.
GBMS released version 1.3
SensoriumC is the first real time monitoring system for container loads. It shows the loads in container-posts, lashing twist locks. The forces are compared to the save working loads set forward by your class approval and Container Securing Manual(CSM). If any critical limits are approached, the crew is warned and they can decide evasive actions if needed.
Next to that, SensoriumC has easy tools to quickly review incoming BAPLIE-files. It checks the mass, stack weight and the compliance with the CSM and class rules. Finally SensoriumC can create reports on the maximum loads during any part of a voyage.
SensoriumC includes a stand alone onboard web server, such that the system can be viewed from any computer in the ships network. The system is not connected to the internet to avoid any security issues.
Detailed data are stored to reconstruct the ship motions in detail when anything might happen.