工业物联网能耗监测与优化系统在生产园区中的应用Application of an Industrial IoT Energy Monitoring and Optimization System in a Production Park
应用场景Application Scenario
脱敏项目编号 AIET-EAC-2025-04。案例面向综合型生产园区，涉及多栋厂房、公共动力站和若干重点用能设备。原有能耗统计以人工汇总为主，难以及时定位异常能耗和工序级能源使用差异。Desensitized project code AIET-EAC-2025-04. The case involves an integrated production park with multiple workshops, a shared power station, and several key energy-consuming devices. The original energy statistics relied mainly on manual aggregation, making it difficult to locate abnormal consumption and process-level differences in energy use in a timely manner.
成果摘要Outcome Summary
系统通过分项计量、数据采集网关、能耗看板和异常分析规则，对重点区域和设备进行持续监测。脱敏材料包括点位清单、采集架构图、月度运行记录、异常分析样例和节能改进建议，形成了较完整的工程应用证据链。The system continuously monitored key areas and equipment through sub-metering, data acquisition gateways, energy dashboards, and abnormal-consumption analysis rules. The desensitized materials include point lists, acquisition architecture diagrams, monthly operation records, anomaly analysis samples, and energy-saving improvement suggestions, forming a relatively complete engineering evidence chain.
应用价值Application Value
该案例提升了园区对能源使用过程的可视化和可管理能力，为生产排程、设备运行策略和节能改造提供了数据依据，也使管理层能够以更细颗粒度评估绿色制造措施的执行效果。The case improved the park’s ability to visualize and manage energy usage processes, provided data support for production scheduling, equipment operation strategies, and energy-saving upgrades, and enabled management to evaluate the implementation effects of green manufacturing measures at a finer level of granularity.
专家评价说明Expert Evaluation
评议小组认为，该案例在能耗数据采集、异常识别和管理决策之间建立了清晰关系，体现了工业物联网技术对绿色制造管理的支撑作用。The review panel concluded that the case establishes a clear relationship among energy data collection, anomaly identification, and management decision-making, demonstrating the supporting role of industrial IoT technology in green manufacturing management.