后勤数字化管理下的能耗影响因素分析及对策
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江门市中心医院 总务科,广东 江门 529000

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R197

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Analysis and countermeasure of influence factors of energy consumption under digital management of logistics
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General Affairs Department, Jiangmen Central Hospital, Jiangmen, Guangdong 529000, China

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    摘要:

    目的 了解医院能源管理状况及用能特点,分析影响医院能源消耗的因素并提出相应的对策。方法 通过能耗在线监测系统收集2019年1月至2022年12月的能源消耗数据,采用相关分析和多元线性回归分析能源消耗的影响因素。结果 单位综合能耗呈逐年下降趋势,平均增长速度为-2.24%,其中电能的下降速度较快,用电量与门诊人次、出院人次、手术人次、实际占用总床日、月平均高温均呈正相关关系(P<0.05),天然气与急诊人次、出院人次、实际占用总床日、月平均低温均呈正相关关系(P<0.05),多元线性回归分析结果显示出院人次、实际占用总床日和气温是影响用电量的因素,出院人次和手术人次是影响天然气的因素。结论 医院通过数字化和智能化的手段,构建能耗在线监测系统,提高资源利用效率,加强节能宣传工作,降低能源消耗。

    Abstract:

    Objective To understand the status and characteristics of hospital energy management, analyze the factors that affect hospital energy consumption, and propose corresponding countermeasures.Methods Energy consumption data from January 2019 to December 2022 were collected through an online energy consumption monitoring system, and the influencing factors of energy consumption were analyzed using correlation analysis and multiple linear regression analysis.Results The comprehensive energy consumption per unit shows a decreasing trend year by year, with an average growth rate of -2.24%, with a faster decline in electrical energy,there is a positive correlation between electricity consumption and outpatient visits, discharges, surgeries, actual total bed occupancy, and monthly average high temperature (P<0.05), natural gas is positively correlated with the number of emergency visits, number of discharges, actual total bed days occupied, and monthly average low temperature (P<0.05). Multiple linear regression analysis shows that discharge visits, actual total bed days occupied, and temperature are factors that affect electricity consumption, while discharge visits and surgical visits are factors that affect natural gas consumptionConclusion Hospitals use digital and intelligent methods to build online energy consumption monitoring systems, improve resource utilization efficiency, strengthen energy-saving publicity work, and reduce energy consumption.

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肖礼花.后勤数字化管理下的能耗影响因素分析及对策[J].中国医学工程,2024,(2):62-65

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  • 收稿日期:2023-10-27
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  • 在线发布日期: 2025-01-02
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