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Load Management System: Numeric Engineering's Flagship Product

Load Management System (LMS) utilizes a floating platform Digital Twin model to assist platform personnel in maintaining a safe operating load condition of the vessel.


LMS receives real time monitoring data from various sensors and processes the information to determine the optimum ballast tank water levels at a given time and assists the platform personnel in maintaining a safe operating load condition of the platform.

A simulation-based digital twin — virtual replica of the in-service physical asset which mirrors the life and experience of the platform — is integrated into the LMS that will significantly improve the asset’s safety and optimize the operational performance.


Data collected from accelerometer, tiltmeter, GPS, air gap sensors and ballast level transmitters are streamed into the digital twin which in turn will reproduce the mechanical behavior of the platform in real time. This feature provides the capability to produce critical information regarding the integrity of the vessel such as tendon/mooring tensions at any given time essentially without relying on the mooring load cell data.


Most existing Tendon Tension Monitoring Systems (TTMS) do not have a redundant mechanism to take over in case of a system failure. There is no easy method to analytically calculate the tendon tensions as the existing sensors, such as wind, wave and current, give only a rough estimate of the horizontal force (eccentricity)  acting on the platform. Ballasting and de-ballasting operations solely rely on the readings from TTMS. A redundant TTMS system is also required for monitoring the accuracy and the stability (drift issues) of the existing TTMS system, which is an additional module offered by Numeric's Load Management System. 


Snapshot of the LMS Graphical User Interface: 3D visual interface capability provides an invaluable tool for the user to perform deck survey.


6DOF Motion Sensor: Measurements taken from the sensor provides a reliable means to obtain real time data that represents vessel’s position and attitude.

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Edge Device: Powerful Linux based Edge Device for processing large amounts of data onboard.

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