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Devices and Technology - Anesthesia

Automatic assembly machine for extension set for pump

Extension sets for pumps are essential medical consumables for administering anesthesia, and it is demanding for product cleanliness and assembly accuracy. Traditional manufacturing relies on manual assembly, making it challenging to ensure the product meets strict cleanliness standards and optimize productivity.Against this bottleneck in the industry, Maider has customized an automatic assembly line for extension set for pump, an industry-leading intelligent manufacturing system for medical consumables, based on clients' actual needs and products' technical characteristics. Deviating from traditional manufacturing that relies on manual assembly, this system automatically assembles relevant parts into a complete final product of extension set for pump. This system with unique and precise mechanical design realizes a highly-automatic assembly process, effectively overcoming the challenges of traditional manual assembly/manufacturing, high risks of contamination, and low yield rate. This, in turn, leads to significant improvement in productivity, reduction in labor intensity, and decrease in production costs.

Features

High automation/productivity. In contrast to traditional manufacturing that relies on manual assembly, the fully-automatic assembly process adopts a unique mechanical mechanism to improve the yield rate and raise productivity significantly

High quality/accuracy. This assembly line, made possible by precise mechanical structure and unique process design, effectively ensures a high level of product cleanliness

Modular design. This design facilitates layout and installation according to clients' actual manufacturing environment while allowing easier maintenance and repair Intelligent detection. This system integrates a CCD intelligent detector module and an independently-developed image algorithm to realize the automatic detection of product defects in multiple processes

Real-time data collection. This system integrates a data collection module and forms data charts at the terminal to facilitate intelligent manufacturing

Remote diagnosis. This system integrates the module of Internet of Things for such a diagnosis