According to Tianjin Port Free Trade Zone Enterprise Offshore Oil Engineering Co., Ltd. (referred to as "Haiyou Engineering"), China's first intelligent coating production line for offshore oil and gas equipment has recently been put into operation at Haiyou Engineering Zhuhai Deepwater Equipment Manufacturing Base.

On August 19th, the outer wall spraying robot is automatically spraying the tower. Photo by Zeng Zhihai
The painting process is an important link in the manufacturing of marine oil and gas equipment. Through anti-corrosion coatings, marine oil and gas equipment is protected from seawater corrosion, salt spray erosion, and biological adhesion, in order to extend the structural life and reduce maintenance costs.
It is reported that the intelligent coating production line put into use this time is optimized and designed for ultra large tower structures. It mainly consists of a roller frame, an outer wall spraying robot, an inner wall spraying robot, and an AGV intelligent tracked shuttle. It has functions such as full process intelligent control, point-to-point precise spraying, autonomous programming, and automatic obstacle avoidance. The coating system can be customized according to needs, and the work efficiency is 4 to 8 times higher than traditional manual methods.
In marine industrial manufacturing, traditional spraying operations mainly rely on manual spraying and machine spraying, which generally have problems such as unstable paint film thickness, low operating efficiency, and high energy consumption. To solve this problem, CNOOC Engineering has independently developed an AGV intelligent tracked shuttle, which is equipped with robots to achieve automatic spraying of the full coverage of the inner wall of the tower. At the same time, the spraying production line adopts a highly integrated design of gas supply and power system, achieving fully enclosed protection and effectively ensuring that the robot can operate at full load continuously for 24 hours.
The relevant person in charge of CNOOC Engineering introduced that in the next step, CNOOC Engineering will explore the introduction of AI self-learning algorithms to dynamically optimize the path and paint film thickness, achieve adaptive spraying of complex surfaces, and improve accuracy and material utilization.



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