| Popis: |
In the traditional public building energy-consumption analysis, the statistic granularity is large. It has lead to some limitations such as separate equipment energy consumption analysis in detail and energy-saving optimization achievement. The electrical equipment internet of things (EEIOT) has advantages of equipment-interconnection, seamless access, distributed monitoring, etc. To solve the problems of traditional analysis and provide service of energy-saving optimization, public building energy-saving analysis method based on the EEIOT is put forward in this thesis. The method would sort the equipment and select the high energy consumption equipment according to the equipment run-time which is computing via sequence of events (SOE) data disposing, confirm equipment abnormal run-time though data fusion of people-awareness, room registration, equipment basic information, etc. Finally, mine the energy saving potential. The method based on EEIOT aims to prove and verify the feasibility of public building equipment management system, The application illustrates that the system has the ability to identify abnormal energy-consumption electrical equipment and its abnormal run-time, and provide the service of building energy-saving guidance from the angle of equipment operation, achieve the aim of energy-saving and operation optimization through establish effective energy-saving and optimization mechanism. |
