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A plug and play framework for an HVAC air handling unit and temperature sensor auto recognition technique

机译:HVAC空气处理单元的即插即用框架和温度传感器自动识别技术

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摘要

A plug and play framework for an HVAC air handling unit control system is proposed in this study. This is the foundation and the first step towards the plug and play HVAC control system that will eventually lead to self-configuring of HVAC control systems for automatic building controls system set-up, commissioning, more robust HVAC system operations, and automatic detection and repair of potential controls problems. This framework is built on the commercially available smart transducers that are compatible with the IEEE 1451 family of standards, and a data acquisition system that can read and write the smart transducer information. As a proof of concept for the framework, a structural pattern recognition algorithm is developed to automatically recognize temperature sensors in an Air Handling Unit (AHU) at different locations. The algorithm can be a critical part of the self-configuring HVAC control system in establishing a binding list of control system input/output and automated assignment and verification of the binding list.A prototype of the plug and play framework for an AHU was built. Experiments were designed, setup, and tested to automatically recognize eleven different temperature sensors at various AHU locations on two different AHUs. More than one hundred test cases were implemented at various initial conditions, environmental temperatures, and chilled water system configurations, to demonstrate the robustness of the pattern recognition algorithm.
机译:在这项研究中提出了即插即用的HVAC空气处理单元控制系统框架。这是即插即用HVAC控制系统的基础和第一步,它将最终导致HVAC控制系统的自配置,以实现自动楼宇控制系统的设置,调试,更强大的HVAC系统操作以及自动检测和维修潜在的控制问题。该框架建立在与IEEE 1451系列标准兼容的商用智能传感器以及可读写智能传感器信息的数据采集系统的基础上。作为框架概念的证明,开发了一种结构模式识别算法,以自动识别空气处理单元(AHU)中不同位置的温度传感器。该算法在建立控制系统输入/输出的绑定列表以及绑定列表的自动分配和验证中可能是自配置HVAC控制系统的关键部分。构建了AHU的即插即用框架的原型。设计,设置和测试了实验,以自动识别两个不同AHU上不同位置的11个不同温度传感器。在各种初始条件,环境温度和冷冻水系统配置下实施了一百多个测试用例,以证明模式识别算法的鲁棒性。

著录项

  • 作者

    Zhou, Xiaohui;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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