With the increase of patients with end-stage renal disease and the increasing complexity of dialysis machines,the traditional fixed cycle empirical preventive maintenance model has revealed its disadvantages,such as wasted resources and frequent failures.This paper focuses on the optimization of the dialysis machine's proactive maintenance plan based on risk as-sessment,analyzing its cutting-edge working principles,and involving advanced technologies such as semi-permeable membranes and intelligent magnetic levitation drives.It also explores composite failures,such as nanoscale biological contamination,and provides solutions.It innovatively proposes to build a multi-dimensional integrated risk assessment system,collect heterogeneous data from multiple sources,establish a risk factor library,and develop a dynamic adaptive risk model.Based on this,a proactive maintenance strategy is designed to break the fixed cycle and use an intelligent platform to flexibly schedule maintenance accord-ing to the risk level.By integrating pre-diagnosis and self-healing technologies,it can predict and automatically repair minor fail-ures in advance using microsensors.This promotes the intelligence of the dialysis machine-related industry,but future efforts are still needed to cultivate cutting-edge technologies to protect kidney health.

With the increase of patients with end-stage renal disease and the increasing complexity of dialysis machines,the traditional fixed cycle empirical preventive maintenance model has revealed its disadvantages,such as wasted resources and frequent failures.This paper focuses on the optimization of the dialysis machine's proactive maintenance plan based on risk as-sessment,analyzing its cutting-edge working principles,and involving advanced technologies such as semi-permeable membranes and intelligent magnetic levitation drives.It also explores composite failures,such as nanoscale biological contamination,and provides solutions.It innovatively proposes to build a multi-dimensional integrated risk assessment system,collect heterogeneous data from multiple sources,establish a risk factor library,and develop a dynamic adaptive risk model.Based on this,a proactive maintenance strategy is designed to break the fixed cycle and use an intelligent platform to flexibly schedule maintenance accord-ing to the risk level.By integrating pre-diagnosis and self-healing technologies,it can predict and automatically repair minor fail-ures in advance using microsensors.This promotes the intelligence of the dialysis machine-related industry,but future efforts are still needed to cultivate cutting-edge technologies to protect kidney health.

Humans ; Endovascular Aneurysm Repair ; Endovascular Procedures ; Blood Vessel Prosthesis Implantation ; Aortic Aneurysm, Abdominal/surgery* ; Treatment Outcome ; Postoperative Complications ; Risk Factors ; Aortic Rupture/surgery* ; Retrospective Studies