目的:探讨品管圈(quality control circle,QCC)活动在脉动真空压力蒸汽灭菌湿包管理中的作用,为临床应用提供参考。方法:将QCC活动运用于脉动真空压力蒸汽灭菌湿包的管理工作,针对湿包发生原因制定对策并实施,观察QCC活动实施前、后湿...目的:探讨品管圈(quality control circle,QCC)活动在脉动真空压力蒸汽灭菌湿包管理中的作用,为临床应用提供参考。方法:将QCC活动运用于脉动真空压力蒸汽灭菌湿包的管理工作,针对湿包发生原因制定对策并实施,观察QCC活动实施前、后湿包发生率的变化。结果:实施QCC活动后,有效减少了脉动真空压力蒸汽灭菌湿包事件发生,湿包发生率由1%降低到0.4%,增进了科室工作人员之间的相互理解,使医院消毒供应中心整个团队的凝聚力大增。结论:QCC这一管理方法应用于脉动真空压力蒸汽灭菌湿包管理中,可显著降低湿包发生率,值得临床推广应用。展开更多
A novel noninvasive approach, based on flow-induced vibration, to the online flow regime identification for wet gas flow in a horizontal pipeline is proposed. Research into the flow-induced vibration response for the ...A novel noninvasive approach, based on flow-induced vibration, to the online flow regime identification for wet gas flow in a horizontal pipeline is proposed. Research into the flow-induced vibration response for the wet gas flow was conducted under the conditions of pipe diameter 50 mm, pressure from 0.25 MPa to 0.35 MPa, Lockhart-Martinelli parameter from 0.02 to 0.6, and gas Froude Number from 0.5 to 2.7. The flow-induced vibration signals were measured by a transducer installed on outside wall of pipe, and then the normalized energy features from different frequency bands in the vibration signals were extracted through 4-scale wavelet package transform. A "binary tree" multi-class support vector machine(MCSVM) classifier, with the normalized feature vector as inputs, and Gaussian radial basis function as kernel function, was developed to identify the three typical flow regimes including stratified wavy flow, annular mist flow, and slug flow for wet gas flow. The results show that the method can identify effectively flow regimes and its identification accuracy is about 93.3%. Comparing with the other classifiers, the MCSVM classifier has higher accuracy, especially under the case of small samples. The noninvasive measurement approach has great application prospect in online flow regime identification.展开更多
文摘目的:探讨品管圈(quality control circle,QCC)活动在脉动真空压力蒸汽灭菌湿包管理中的作用,为临床应用提供参考。方法:将QCC活动运用于脉动真空压力蒸汽灭菌湿包的管理工作,针对湿包发生原因制定对策并实施,观察QCC活动实施前、后湿包发生率的变化。结果:实施QCC活动后,有效减少了脉动真空压力蒸汽灭菌湿包事件发生,湿包发生率由1%降低到0.4%,增进了科室工作人员之间的相互理解,使医院消毒供应中心整个团队的凝聚力大增。结论:QCC这一管理方法应用于脉动真空压力蒸汽灭菌湿包管理中,可显著降低湿包发生率,值得临床推广应用。
基金Supported by the National Natural Science Foundation of China （60672003）
文摘A novel noninvasive approach, based on flow-induced vibration, to the online flow regime identification for wet gas flow in a horizontal pipeline is proposed. Research into the flow-induced vibration response for the wet gas flow was conducted under the conditions of pipe diameter 50 mm, pressure from 0.25 MPa to 0.35 MPa, Lockhart-Martinelli parameter from 0.02 to 0.6, and gas Froude Number from 0.5 to 2.7. The flow-induced vibration signals were measured by a transducer installed on outside wall of pipe, and then the normalized energy features from different frequency bands in the vibration signals were extracted through 4-scale wavelet package transform. A "binary tree" multi-class support vector machine(MCSVM) classifier, with the normalized feature vector as inputs, and Gaussian radial basis function as kernel function, was developed to identify the three typical flow regimes including stratified wavy flow, annular mist flow, and slug flow for wet gas flow. The results show that the method can identify effectively flow regimes and its identification accuracy is about 93.3%. Comparing with the other classifiers, the MCSVM classifier has higher accuracy, especially under the case of small samples. The noninvasive measurement approach has great application prospect in online flow regime identification.
