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基于电子质量追溯系统的灭菌器能耗监测与节能优化(英文版).pdf

上传人: 芦苇 编号:1146390 2026-02-14 25页 1.63MB

1、1Sterilizer Energy Consumption Monitoring and Energy-Saving Optimization Based on an Electronic Quality Traceability SystemName:Xiao Guang LeeAffiliation:Peking University School of Stomatology,Beijing,China2Energy Challenges and Hospital ResponsibilitySustainable developmentMedical institutions are

2、 major energy consumersOperational efficiencyAs an important part of society,we have a responsibility to contribute to thisSocial responsibilityWhile pursuing excellent medical services,economic benefits should also be consideredEconomic considerations3ContentA.BackgroundB.Transformation of Tracking

3、 and Tracing System into Decision IntelligenceC.Validation by ResultD.Intelligence Enhancement for Future Development E.Conclusion4Peking University School of Stomatology 4 International Collaborating Centers National Clinical Research Center for Oral Diseases National Engineering Laboratory for Dig

4、ital and Material Technology of Stomatology4A.Background5Founded in 1941,it integrates a college,a hospital,and a dental research instituteThe hospital currently has 807 dental treatment units and 173 beds It performs 9,000 inpatient surgeries and handles 2.09 million outpatient and emergency visits

5、 annuallyThe typical large outpatient clinic,small inpatient ward model concentrates the workload within a given time period,and the working efficiency decreases when outpatient services are interrupted or suspendedA.Background6CSSD:Unique challenges under high-load operationSterilizer(No.)(1500L)Wa

6、sher Disinfector(No.)(PG8528)Key equipment operating timeDaily processing instrument(No.)4 47 707:0007:00-20:0020:002200022000During periods of low workload,the equipment remains idle until the end of the workday when it is shut downA.BackgroundRugged management style7Can energy waste be reduced dur

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1. **背景与挑战**:北大口腔医院CSSD(消毒供应中心)4台灭菌器日均待机4.5小时,年浪费电力305kWh、蒸汽14,145kg,传统人工关机效率低且存在安全隐患。 2. **解决方案**:基于电子质量追溯系统,采用集成学习算法(随机森林、梯度提升等)预测安全关机窗口,结合人机协同闭环流程,降低误关机风险92%。 3. **成效**:待机时间占比从29.04%降至22.14%,年关机141次,预测误差平均25分钟;灭菌质量100%、应急重启率2次/年,护士满意度93%。 4. **扩展应用**:通过数据驱动优化洗涤器排水温度(30℃→45℃),节水82%;9月用电量降58%,节能94800元。 5. **结论**:该模式(追溯系统+算法+人机协作)可复制,实现CSSD安全、高效、可持续发展。
**节能秘诀?** **智能灭菌如何省电?** **医院能耗如何优化?**
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