Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Continuous Commissioning Using Embedded Sensor Networks
Continuous commissioning focuses on optimizing the HVAC systems and the operation controls for existing building condition. However, currently the continuous commissioning processes overlook an important factor of user comfort. By not integrating the real indoor environment parameters the commissioning processes ignore the dynamics and the variations in the indoor environment which can affect the user productivity and hence the overall benefit. We built and deployed a pervasive sensor network using the CMU Critter Temperature Sensor to determine the effects of room usage on building conditions using real building performance data. Our results show that the building state is dynamic and the indoor environmental parameters vary significantly based on the usage of the room and layout. The results also underline the requirement for a pervasive, rather than sparse, sensor network for collecting building performance data. In our project, we plan to collect real time data from thousands of sensor nodes and do real time decision making for improving the building commissioning process. The challenges lie in the ability to process, store and manage the large amount of sensor data.
Continuous Commissioning Using Embedded Sensor Networks
Continuous commissioning focuses on optimizing the HVAC systems and the operation controls for existing building condition. However, currently the continuous commissioning processes overlook an important factor of user comfort. By not integrating the real indoor environment parameters the commissioning processes ignore the dynamics and the variations in the indoor environment which can affect the user productivity and hence the overall benefit. We built and deployed a pervasive sensor network using the CMU Critter Temperature Sensor to determine the effects of room usage on building conditions using real building performance data. Our results show that the building state is dynamic and the indoor environmental parameters vary significantly based on the usage of the room and layout. The results also underline the requirement for a pervasive, rather than sparse, sensor network for collecting building performance data. In our project, we plan to collect real time data from thousands of sensor nodes and do real time decision making for improving the building commissioning process. The challenges lie in the ability to process, store and manage the large amount of sensor data.
Continuous Commissioning Using Embedded Sensor Networks
Singhvi, Vipul (Autor:in) / Bigrigg, Michael W. (Autor:in) / Matthews, H. Scott (Autor:in) / Garrett, Jr., James H. (Autor:in)
International Conference on Computing in Civil Engineering 2005 ; 2005 ; Cancun, Mexico
24.06.2005
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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