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The Lula1000 is 7.50 meters long, 1.65 meters wide and 2.65 meters high. She can accommodate three people on her dive missions. As classified by Germanische Lloyd Hamburg, the submersible is approved for depths up to 1,000 meters. She is powered by five electrical engines with an output of 3.3 kilowatt each. Since the interior is relatively comfortable, the vessel is suited for diving trips of up to five hours.
The pressure hull was built by Quast GmbH & Co KG in Eschweiler, Germany. A central component of the Lula1000 pressure hull is a viewing dome made of PLEXIGLAS®, which has a diameter of 1.40 meters and a thickness of 14 cm at its thinnest place. The concave design allows for a viewing angle of 150 degrees. Another PLEXIGLAS® dome with a diameter of 61 centimeters seals the entry hatch of Lula1000.
We were determined to have a submersible 'made in Germany' and Evonik precisely met our requirements when it came to developing the cockpit," says Joachim Jakobsen about the customer relationship of Evonik and the Rebikoff-Niggeler Foundation.
The submersible has a movable gripping arm and is equipped with the latest technology to search for giant squids. This includes high-resolution, extremely light-sensitive cameras, sonar, a sediment aspiration device for sampling, a GPS system that works under water, an autopilot system, various illumination systems with a total output of 36 kilowatt and a data sensor that can take a number of measurements in the water. Additionally, the boat contains a baiting mechanism and LED lights to lure the squids closer. The bow also holds two high-quality hydrophones, which allow for making underwater sound recordings.
The Portuguese word "lula" means "squid."
During diving trips Joachim Jakobsen is responsible for operating the boat, which involves piloting and looking after the technical features of the submersible. Kirsten Jakobsen takes care of the camera work and logs navigation data. This means that all data and photos gathered during the dive can later be linked to the respective position and depth data to understand where exactly the data was collected.