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Siasun’s high-tech industrial park, the largest robotic industrial base in China, went into operation in Shenyang, capital of Northeast China’s Liaoning province, on Wednesday.

by Li Yahui

In the industrial park, there is China’s first demonstration manufacturing project for Industry 4.0, a digital intelligent factory with an annual production capability of more than 10,000 sets of robots, and intelligent manufacturing equipment.

It integrates robots, intelligent equipment and information technology into the manufacturing process, which covers the production, quality and logistics processes of manufacturing and can realize the transformation process from product design to manufacture.

Siasun’s President Qu Daokui said at the opening ceremony that the company, after 17 years of development, has become a name card of China’s robotic industry to the world.

Belonging to Chinese Academy of Science (CAS), Siasun Robot & Automation Co Ltd (Siasun) is a leading robotic enterprise in China and has the most comprehensive robotic product lines in the world.

The industrial park will serve as a new ecological platform that integrates the industry, finance, education and innovation, Qu said.

According to Siasun, covering a floor area of 340,000 square meters, the high-tech industrial park consists of a headquarter building, a robotics exhibition center, a research and development center and various kinds of manufacturing centers.

With a total investment of nearly 2 billion yuan ($302 million), construction of the industrial park took more than five years, according to Xinhua.

Siasun, taking the manufacturing of advanced intelligent equipment and the R&D of robotic technologies as its core, leads in manufacturing mobile robot, service robot, industrial robot, vacuum and specialized robot.

The robotic industry in China has witnessed rapid development recently as the government is attaching great importance to it.

In 2015, the “Made in China 2025” strategy was launched in China to upgrade China’s manufacturing, especially in areas such as intelligent manufacturing and robotics.

Source: ECNS

 

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