He Li, Nankai Cheng and Li Yang ᱨᱮᱱᱟᱜ Sim One ᱥᱩᱱᱟᱢᱤ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱡᱤᱱᱤᱥ

He Li, Nankai Cheng and Li Yang ᱨᱮᱱᱟᱜ Sim One ᱥᱩᱱᱟᱢᱤ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱡᱤᱱᱤᱥ ᱫᱚ ᱤᱱᱡᱤᱱᱤᱭᱟᱨᱤᱝ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2023 A' Design Award ᱥᱳᱱᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾

ᱥᱳᱱᱟᱤᱱᱡᱤᱱᱤᱭᱟᱨᱤᱝ· 2023

Sim One ᱥᱩᱱᱟᱢᱤ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱡᱤᱱᱤᱥ

He Li, Nankai Cheng and Li Yang ᱞᱮᱠᱟᱛᱮ

ᱜᱟᱦᱟᱠ: University of Electronic Science and Technology of China

ᱤᱱᱡᱤᱱᱤᱭᱟᱨᱤᱝ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱥᱳᱱᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

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#150456 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪ

ᱥᱟᱭᱤᱴ ᱧᱮᱞ ᱢᱮ A' Design Award ᱨᱮ ᱧᱮᱞ ᱢᱮ ᱯᱨᱮᱥ ᱨᱤᱞᱤᱡ ᱯᱩᱨᱥᱠᱟᱨ ᱵᱮᱡ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Sim One ᱥᱩᱱᱟᱢᱤ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱡᱤᱱᱤᱥ ᱵᱟᱵᱚᱛ ᱛᱮ

ᱥᱤᱢ ᱳᱱ ᱫᱚ ᱠᱷᱩᱞᱟᱹ ᱫᱚᱨᱮᱭᱟ ᱨᱮ ᱥᱩᱱᱟᱢᱤ ᱯᱟᱱᱛᱮ ᱧᱟᱢ ᱞᱟᱹᱜᱤᱫ ᱛᱮᱭᱟᱨᱟᱠᱟᱱ ᱢᱤᱫ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱡᱤᱱᱤᱥ ᱠᱟᱱᱟ᱾ ᱱᱤᱛᱚᱜ ᱢᱮᱱᱟᱜ ᱦᱚᱥᱤᱭᱟᱨ ᱦᱚᱨᱟᱠᱚ ᱫᱚ ᱡᱟᱹᱨᱤᱡᱩᱢ (ᱵᱷᱩᱭᱦᱟᱹᱲ) ᱨᱮᱭᱟᱜ ᱠᱷᱚᱵᱚᱨ ᱥᱤᱢᱩᱞᱮᱥᱚᱱ ᱪᱮᱛᱟᱱ ᱨᱮᱠᱚ ᱟᱹᱥᱨᱟᱭᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱛᱟᱹᱲᱟᱢ ᱛᱮ ᱥᱮᱴᱮᱨᱚᱜᱼᱟ ᱟᱨ ᱟᱭᱢᱟ ᱫᱷᱟᱣ ᱵᱷᱩᱞ ᱦᱩᱭᱩᱜᱼᱟ᱾ ᱥᱤᱢ ᱳᱱ ᱫᱚ ᱫᱚᱨᱮᱭᱟ ᱨᱮᱭᱟᱜ ᱵᱷᱤᱛᱨᱤ ᱪᱚᱞᱚᱱ ᱥᱚᱨᱮᱥ ᱚᱠᱛᱚ ᱨᱮᱜᱮᱭ ᱢᱟᱯᱟ᱾ ᱟᱭᱢᱟ ᱡᱤᱱᱤᱥᱠᱚ ᱢᱤᱫ ᱥᱤᱠᱲᱤ ᱛᱟᱭᱛᱮ ᱓᱐ ᱠᱷᱚᱱ ᱕᱐ ᱠᱤᱞᱚᱢᱤᱴᱚᱨ ᱥᱟᱹᱛᱟᱹᱨ ᱛᱮᱠᱚ ᱛᱷᱤᱨᱟᱠᱟᱱᱟ, ᱚᱠᱟ ᱛᱮ ᱢᱤᱫ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱡᱟᱹᱞ ᱛᱮᱭᱟᱨᱚᱜᱼᱟ᱾ ᱡᱚᱠᱷᱚᱱ ᱢᱤᱫ ᱡᱚᱠᱷᱚᱱᱤᱭᱟᱹ ᱫᱚᱨᱮᱭᱟ ᱫᱟᱜ ᱪᱚᱞᱚᱱ ᱧᱟᱢᱚᱜᱼᱟ, ᱢᱤᱫ ᱠᱷᱚᱵᱚᱨ ᱠᱩᱞ ᱵᱩᱭ ᱟᱲᱟᱜᱚᱜᱼᱟ ᱟᱨ ᱫᱟᱜ ᱪᱮᱛᱟᱱ ᱠᱷᱚᱱ ᱦᱚᱥᱤᱭᱟᱨ ᱥᱟᱶᱦᱮᱫᱠᱚᱭ ᱠᱩᱞᱟ᱾ ᱚᱱᱟ ᱨᱮᱭᱟᱜ ᱵᱟᱦᱨᱮ ᱠᱷᱚᱞ ᱫᱚ ᱟᱞᱩᱢᱤᱱᱤᱭᱚᱢ ᱵᱽᱨᱚᱸᱡᱽ ᱟᱨ ᱴᱟᱭᱴᱮᱱᱤᱭᱚᱢ ᱛᱮ ᱛᱮᱭᱟᱨᱟᱠᱟᱱᱟ, ᱡᱟᱦᱟᱸ ᱨᱮ ᱢᱩᱨᱪᱟᱹ ᱴᱷᱮᱠᱟᱣ ᱞᱮᱯ ᱢᱮᱱᱟᱜᱼᱟ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱥᱳᱱᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Sim One ᱥᱩᱱᱟᱢᱤ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱡᱤᱱᱤᱥ ᱫᱚ A' Design Award ᱥᱳᱱᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱷᱟᱞᱟᱭ ᱛᱮ ᱵᱷᱟᱞᱟᱭ ᱟᱨ ᱥᱩᱱᱫᱚᱨ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Sim One ᱥᱩᱱᱟᱢᱤ ᱧᱮᱞᱵᱤᱰᱟᱹᱣ ᱡᱤᱱᱤᱥ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ: Tsunamis can cause tens of thousands of casualties. Due to the nature of tsunamis, humans do not have equipment that can directly detect tsunamis. The current tsunami warning is based on the simulation results of earthquake data, which has a lag and is inaccurate. This design is designed to monitor the internal dynamics of the ocean in real-time and directly detect tsunamis, with high warning accuracy.
ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ: SPECIFICATIONS and DIMENSION: 1050mm*1000mm*2050mm
PACKAGE: High-carbon steel
TECHNICAL PROPERTIES: Max. dive depth - 150 m; Max. speed - 20 km/h; Max. range - 100 km
ᱴᱮᱜ ᱠᱚ: Tsunami early warning equipment, Engineering Design, Technical design, Product Design,
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ: The equipment is anchored in the open sea by the offshore work vessel and fixed by special ropes. The empty compartment inside the device provides buoyancy, allowing the device to be suspended at a fixed depth. The overall structural shell is mainly made of aluminum bronze and titanium. The surface coating adopts inorganic seawater anti-corrosion coating.
ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ: Harsh sea conditions introduce additional challenges to designing and applying deep-sea-based equipment. Such challenges include wave spectrum monitoring, anchoring in deep waters (100-200 meters), monitoring data modelling and analysis, and reliable and long-time functioning. A feasible and applicable solution copes with all the challenges mentioned above is finalised by a completed design.
ᱜᱚᱵᱮᱥᱚᱱᱟ: This project constructs the tsunami early warning system and provides guiding significance and a theoretical basis for the new design. It also maps tsunami propagation properties and discovers critical points for tsunami monitoring with the assistance of analysing tsunami dynamics. Finally, an accurate and reliable tsunami early warning system is designed.
The system can reduce the threat of marine disasters, for instance, tsunamis, to coastal residents. At the same time, the system extracts comprehensive ocean state data, which will provide a better understanding of the oceans of human beings.
ᱯᱨᱮᱨᱚᱱᱟ: The device was initially designed to decrease the likelihood of marine disasters such as tsunamis caused by the warming of the climate and the rise in sea level. The design is inspired by the shape of Aeoliscus strigatus (an upright diving creature in the ocean). The colour is yellow, as it stands out against the marine background.
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ: The project started on February 2020 in China and finished on January 27th, 2023, in Lisbon.
ᱠᱟᱹᱢᱤ ᱦᱚᱨ: Several devices are anchored in the ocean along a chain distribution, and each device is separated by 30-50 kilometers. Form a monitoring network for the internal movement of the ocean. When the device detects dangerous ocean currents, it releases the communication buoys. The buoy floats to the sea surface to send out early warning signals and data. If several adjacent devices emit tsunami signals almost simultaneously, an alert is issued to coastal areas.
ᱯᱮᱴᱮᱱᱴ ᱠᱚ: The copyright belongs to Nankai Cheng, He Li and Li Yang, 2023.
ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ: "He Li", "Nankai Cheng", "Li Yang"
ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ: Image #1, Creator Nankai Cheng, He Li and Li Yang
Image #2, Creator Nankai Cheng, He Li and Li Yang
Image #3, Creator Nankai Cheng, He Li and Li Yang
Image #4, Creator Nankai Cheng, He Li and Li Yang
Image #5, Creator Nankai Cheng, He Li and Li Yang

The copyright belongs to Nankai Cheng, He Li and Li Yang.