基于萤火虫算法的呼吸机管路积水故障诊断模型构建及其应用效果分析OACSTPCD
Construction of diagnostic model of water accumulation fault in ventilator pipeline based on firefly algorithm and the analysis of its application practice
目的:构建基于萤火虫算法(FA)的呼吸机管路积水故障诊断模型,以降低呼吸机管路积水故障概率.方法:构建基于萤火虫算法的呼吸机管路积水故障诊断模型,采用目标函数、多目标数学模型等方法,对呼吸机管路积水故障进行精确判断.选择2022-2023年北京大兴区人民医院在用20台呼吸机设备,应用呼吸机管路积水故障诊断模型对20台呼吸机设备管理进行改进,将2022年1-12月设定为设备管理改进前,2023年1-12月设定为设备管理改进后,对比呼吸机设备管理改进前后的故障率、运行质量、抽检合格率及设备使用人员的认可度评分情况.结果:呼吸机设备管理改进后,呼吸机管路积水故障中冷凝水处理、管路位置、湿化罐情况和其他原因均低于改进前,差异有统计学意义(x2=11.875、14.636、11.834、11.039,P＜0.05);改进后的呼吸机设备运行质量中开机率、完好率、时间利用率、质量稳定率均高于改进前,差异有统计学意义(t=11.520、12.145、9.189、13.637,P＜0.05);改进后设备故障率低于改进前,抽检合格率明显高于改进前,差异有统计学意义(x2=5.625、15.000,P＜0.05);改进后设备使用者中工程师、医生、护士和患者对其认可度评分均高于改进前,差异有统计学意义(t=11.093、11.080、16.006、11.049,P＜0.05).结论:基于FA的呼吸机管路积水故障诊断模型可实现对呼吸机管路积水故障精确判断,降低呼吸机管路积水故障概率,有效提升医院呼吸机设备管理质量.
Objective:To construct a diagnosis model of water accumulation fault of ventilator pipeline based on firefly algorithm(FA),so as to improve the management quality of ventilator equipment.Methods:The diagnostic model of water accumulation fault of ventilator pipeline was constructed based on FA.Objective function and multi-objective mathematical model were used to accurately judge the water accumulation fault of ventilator pipeline.From 2022 to 2023,the using 20 ventilators of hospital were selected,and the diagnostic model of water accumulation fault of ventilator pipeline was used to improve the management of 20 ventilators.January-December 2022 was set as before equipment management was improved,and January-December 2023 was set as after equipment management was improved.The failure rate,operation quality,pass rate of sampling inspection and the recognition score of equipment users were compared before and after the management for ventilator equipment was improved.Results:The condensate water treatment,pipeline location,humidification tank condition and other reasons after the management of ventilator equipment was improved were significantly lower than those before that was improved,and the differences were statistically significant(x2=11.875,14.636,11.834,11.039,P＜0.05),respectively.The startup rate,integrity rate,time utilization rate and quality stability rate of operating quality of the improved ventilators were higher than those before they were improved,and the differences of them were statistical significance(t=11.520,12.145,9.189,13.637,P＜0.05),respectively.The failure rate after these equipment were improved was significantly lower than that before they were improved,while the qualified rate was significantly higher than that before that was improved,and the differences were statistically significant(x2=5.625,15.000,P＜0.05),respectively.The recognition scores of engineers,doctors,nurses and patients of users who using equipment after these equipment were improved were significantly higher than those before they were improved,and the differences were statistically significant(t=11.093,11.080,16.006,11.049,P＜0.05),respectively.Conclusion:The diagnosis model of water accumulation fault of ventilator pipeline based on FA can realize accurate judgment for water accumulation fault in ventilator pipeline,and reduce the probability of water accumulation fault in ventilator pipeline,and effectively improve the management quality of ventilator equipment in hospital.
谭爱璐;姜山;卢山
北京市大兴区人民医院医学工程部 北京 102600
预防医学
萤火虫算法呼吸机管路积水故障诊断模型
Firefly algorithmVentilatorsPipeline water failureDiagnostic model
《中国医学装备》 2024 (007)
34-38 / 5
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