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作 者:秦涛 司元情 庞红 陈曲 QIN Tao;SI Yuanqing;PANG Hong;CHEN Qu(Dazhou Integrated Traditional Chinese and Western Medicine Hospital,Dazhou 635000,China)
机构地区:[1]四川省达州市中西医结合医院,四川达州635000
出 处:《现代医院》2025年第4期569-571,共3页Modern Hospitals
摘 要:随着肾病终末期患者增多、透析机愈发复杂,传统固定周期经验式的透析机预防性维护模式,弊端尽显,资源浪费、故障频发。本文聚焦“基于风险评估优化透析机预防性维护计划”,剖析其前沿工作原理,涉及半透膜、智能磁悬浮驱动等先进技术;洞察纳米尺度生物污染等复合型故障并给出解法。创新性提出构建多元融合风险评估体系,采集多源异构数据、建风险因子库与动态自适应风险模型。进而设计前瞻性维护策略,打破固定周期,凭借智能平台依风险等级弹性调度维护;融合预诊断与自愈技术,用微型传感器等提前预测、自动修复轻微故障。以此,推动透析机相关产业智能化,而未来仍需深耕前沿技术护佑肾脏健康。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 assessment,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 according to the risk level.By integrating pre-diagnosis and self-healing technologies,it can predict and automatically repair minor failures 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.
分 类 号:R197[医药卫生—卫生事业管理]
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