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Devices and Technology - Blood purification
Automatic assembly machine for peritoneal dialysis pipeline
Automatic assembly machine for peritoneal dialysis pipeline

Peritoneal dialysis is one of the primary alternative therapies for acute and chronic renal failure. Unlike hemodialysis, this approach uses the peritoneum as a semi-permeable membrane to perform dialysis by patients via simple operations while ensuring the maximum protection of remaining renal functions. As such, the peritoneal dialysis pipeline represents the "lifeline" for patients undergoing peritoneal dialysis.Maider has, therefore, independently developed an automatic assembly line for peritoneal dialysis pipeline, an industry-leading intelligent manufacturing system for blood purification consumables. Unlike traditional approaches that rely on manual assembly, the fully-automatic assembly process effectively enhances product accuracy and cleanliness and improves productivity.


Application finished product
Peritoneal dialysis pipeline
Features
High automation. In contrast to traditional manufacturing that relies on manual assembly, the fully-automatic assembly process effectively controls the risk of contamination during assembly to ensure a high yield rate, resulting in a significant productivity improvement
High quality/specifications. This assembly line, made possible by precise mechanical structure and unique process design, attains the highly-accurate adhesion/assembly of pipelines, ensuring that the final peritoneal dialysis pipeline is comparable with those from international A-list medical enterprises in quality
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
Relative Equipment