Research On Energy-consumption Monitoring, Model, And Management Information System For Large-scale Public Buildings

With the rapid urbanization in our country, the proportion of large-scale publicbuildings is increasing rapidly in cities and towns. Currently, the amount of large-scalepublic buildings in our country has exceeded10000ridgepole, and with a total areaabout500~600million m2, their area is less than4%of cities and towns, but theyconsume more than22%of the total electric power which the cities and towns buildingsconsumed, this is10to20times of ordinary residence consumed, and1.5~2times ofsimilar buildings in Europe, Japan and other developed countries consumed, theirenergy consumption has accounted for around30%of national total energyconsumption, and become the typical energy consumption client，meanwhile, it’s thekey field in building energy saving in our country. Aimed at the energy saving andemission reduction, our government and relevant functional departments havesuccessively promulgated a series of guidelines, specifications, standards and scheme,which ask for monitoring, calculating, auditing, promulgating their energy consumption,and establish energy consumption monitoring platform， carry out energy savingsupervision measure such as quota energy consumption and etc.This dissertation is just based on the energy saving and supervision the problem oflarge-scale public buildings. First of all, based on ZigBee and Ethernet technology, thewireless monitoring system of large-scale public buildings is set up, ZigBee energyconsumption wireless acquisition terminal node and ZigBee/Ethernet gateway which inthe monitoring system are designed respectively，and the software of the energyconsumption acquisition node are developed and debugged， which realize thedistributed wireless measurement and remote transmission of the energy consumption;Second, aimed at the big data characteristic of energy consumption data of large-scalepublic buildings, according to the process of database system design, and using SQL Server2008database management software, the energy consumption database isestablished, which realize the storage and management of huge amounts of energyconsumption data of large-scale public buildings; Afer that, the energy consumptioninfluence factors of large-scale public buildings are classified and analyzed, andaccording to its the influencing factor, an energy consumption prediction model forlarge-scale public buildings which based on wavelet neural network is proposed, andcombine with example, adopt Matlab programing，the experiment result of the model isanalyzed，the merit of the model on the the energy consumption forcast is checked;Finally, by choosing VB visual programming tool, the energy consumption monitoringand management information system for large-scale public buildings is developed, andrealize the visual management of energy consumption information of large-scale publicbuildings.This dissertation provides a scientific, informationalized, transparent technologyplatform for energy saving and supervision of large-scale public buildings in ourcountry, and which is practicable for energy saving relavant policies and measures oflarge-scale public buildings, and has scientific guiding significance both for energysaving reform of existing large-scale public buildings and energy saving running of newlarge-scale public buildings.