工业园区蒸汽系统诊断指标的确立与应用OA
Establishment and application of diagnostic indicators for steam systems in industrial parks
针对工业园区蒸汽系统,构建一套涵盖产汽、输汽、用汽全流程的综合诊断指标体系,包括压力、温度、流量等测量值指标及过热度、压降、温降、管损量与管损率等计算值指标.基于某园区A、B企业的实时运行数据,采用箱线图法剔除异常值,建立动态阈值设定方法,验证指标与阈值的有效性.结果表明,系统多数指标处于正常阈值范围内,但输汽环节存在温降偏高、管损率波动等问题;基于诊断结果,提出了智能调度、保温改造与蒸汽品质调控等优化建议.该指标体系与动态阈值方法可为蒸汽系统智能诊断平台提供核心规则库与数据参考,有助于提升系统运行效率与智能化管理水平.
For the steam system in industrial parks,a comprehensive diagnostic indicator system covering the entire process of steam production,transportation and utilization should be constructed,including measurement value indicators such as pressure,temperature and flow rate,as well as calculation value indicators such as superheat,pressure drop,temperature drop,pipe loss and pipe loss rate.Based on the real-time operation data of enterprises A and B in a certain park,the box plot method is adopted to eliminate outliers,and a dynamic threshold setting method is established to verify the validity of the indicators and thresholds.The results show that most indicators of the system are within the normal threshold range,but there are problems such as high temperature drop and fluctuation of pipe loss rate in the steam transmission link.Based on the diagnostic results,optimization suggestions such as intelligent scheduling,insulation renovation and steam quality control are proposed.This indicator system and dynamic threshold method can provide a core rule base and data reference for the intelligent diagnosis platform of the steam system,which is conducive to improving the operational efficiency and intelligent management level of the system.
张欢;梁云;赵晓宇
同方智慧能源有限责任公司,北京 100000同方智慧能源有限责任公司,北京 100000同方智慧能源有限责任公司,北京 100000
能源科技
工业园区蒸汽系统诊断指标智能诊断平台阈值选取运行评估
industrial parksteam systemdiagnostic indicatorintelligent diagnosis platformthreshold selectionoperation assessment
《节能》 2025 (8)
93-97,5
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