Multi-building Energy Experiment Platform IoT Integration

With the rapid development of China's social economy,China has surpassed the United States and become the largest energy consumer in the world.In China's energy consumption structure,the energy consumption of building operations accounts for a large proportion.One of the ways to reduce energy consumption of building operations is to carry out building energy management,that is,to monitor and analyze the building energy consumption,and to optimize the control of building equipment systems.However,the building energy system has the characteristics of heterogeneous system,numerous devices,huge data and complex control strategies.How to manage effectively is the key to ensure the effectiveness of building energy conservation and emission reduction.The Internet of Things(Io T)is a new generation of information technology.Building energy management platform using Io T technology can easily solve the problem of system integration.Meanwhile,the building energy Io T platform can be combined with new technologies such as BIM,cloud and big data,artificial intelligence and so on,which is smarter and greener than traditional platforms.Therefore,based on the Io T technology,this thesis establishes the multi-building energy Io T platform of Shandong Jianzhu University.The multi-building energy Io T platform involves four experimental platforms: solar-assisted air-source heat pump system experimental platform,Variable refrigerant flow(VRF)ground-source heat pump(GSHP)system experimental platform,natural gas distributed energy system experimental platform and large space all-air conditioning system experimental platform.Because the energy system forms of each experimental platform are different,firstly,the application background of multi-building energy Io T platform is studied.The basic principles of different energy systems are briefly described,the main unit equipment and process flow are introduced,and the monitoring point layout of the sensing layer is counted in detail.Secondly,according to the application background of the Io T platform,the four-layer architecture of the multi-building energy Io T platform is designed.The four-layer architecture includes the sensing layer,the transport layer,the platform layer and the application layer.According to the designed architecture,Niagara framework technology is used to build the Io T platform.The hardware used includes monitoring devices such as electric meters,heat meters,temperature transmitters,carbon dioxide transmitters,frequency converters,electric valves,and JACE8000 controllers,IO modules,4G data terminals,management platform hosts,etc.The applied protocols include Modbus,MQTT,and TCP/IP.Then,according to the actual demand,the basic function software of multi-building energy Io T platform is developed.The software development is based on Niagara N4 software programming,and through communication integration,data exchange between underlying hardware devices and a unified Io T platform is realized.Data is integrated into the Io T platform to visualize and interact with front-end Web pages in the form of text,pictures,charts,and so on.Users can monitor the running data of the experimental platform in real time or access the platform's historical data based on time.At the same time,it can automatically or manually control the start-stop of the unit equipment or confirm the fault alarm information of the experimental platform.The design of these functions greatly improves the convenience of building operation and maintenance,and lays a foundation for the optimal management of building energy Io T platform.Finally,on the basis of the original software functions,artificial intelligence technology is introduced to give new vitality to the multi-building energy Io T platform.By studying the forecasting method of building energy load,the load forecasting model is established.A databased neural network calculation is done in Python software,and the dynamic load of building energy is predicted online and exported to the Io T platform.This research method can reuse the basic functions of the original platform,greatly reduce the development process of software applications.Through software programming,the platform functions can be customized in combination with the actual system,which effectively improves the intelligence of the Io T platform,and provides a feasible idea for the combination of the Io T platform and artificial intelligence technology.In summary,this thesis studies the application background of the multi-building energy experimental platform of Shandong Architecture University,designs a four-tier framework of the Io T,builds the platform of the Io T based on Niagara technology,integrates various energy systems,develops the basic function application through Niagara N4 software development,and on this basis,further introduces artificial intelligence technology and Python software programming to realize the on-line prediction of the dynamic load of building energy.