A Monitoring System of the Heating System Based on IoT and DDS

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International Journal on Communications (IJC) Volume 2 Issue 4, December 2013

www.seipub.org/ijc

A Monitoring System of the Heating System Based on IoT and DDS Li Yeli, Cheng Bo, Chen Junliang The State Key Lab of Networking and Switching Beijing University of Posts and Telecommunications Beijing 100876, China liyeli2013@126.com Abstract As an energy driven industry, heating system’s energy efficiency has always been a social focus. By using some emerging information technology, an effective solution has been proposed to improve the energy efficiency of the heating system. In this paper, a Monitoring System was designed and implemented by means of Internet of Things and DDS, the latter of which helps us to implement the data distribution of all of the data collected by the Internet of Things timely. It should be much helpful for heating system enterprises to improve the energy efficiency. Keywords Internet of Things; DDS; Monitoring; Energy Efficiency

Introduction Internet of Things refers to uniquely identifiable objects and their virtual representations in an Internet-like structure. Since 1999 when the concept of Internet of Things was first put forward, the international community has been widely agreed that Internet of Things is the third wave of information industry in the world wide after computer and internet. In addition, energy efficiency in industrial processes is becoming more and more relevant nowadays. With the help of the Internet of Things, the optimization of energy-efficient drive systems can be dealt with by real-time monitoring and remote control. Heating system as one of the energy-efficient drive systems, its energy conservation has always been a social focus. Energy conservation is no doubt of great significance for sustainable development. With Internet of Things, a new effective solution can be developed to improve the energy-conservation of the heating system. On one hand, using the technology of Internet of Things to set up a comprehensive and effective energy monitor and control system monitoring personnel will

be able to obtain real-time information of the heating system, such as the temperature of the boilers, the temperature of the water in the pipeline and so on. Further, with all the gathered information the monitoring personnel will be able to adjust the parameters of the heating system in reason and timely, which will improve the energy efficiency. The monitoring system of the heating system proposed in this paper is a new information system which uses the Internet of Things. The whole system contains Data Source Layer, Server Layer, Data Distribution Layer and Graphic Client Layer. Using Internet of Things, the Server Layer automatically gets all kinds of data from the Data Source Layer with sensors underground. The Server Layer will interact with each other and communicate with the Graphic Client Layer through the Data Distribution Layer. The Server layer and the Data Distribution Layer are the core layers of our system. One key issue with our system is to delivery kinds of data according to different QoS requirements. For example, when we distribute data from the sub-servers to different graphic clients, one of the clients may want the data to be sent secondly while the others may only need the data to be sent minutely for the same data source. Some of the data must be sent reliably while others may not. As a result, DDS was selected to implement the Data Distribution Layer and will be explained in detail later. The Data Distribution layer was built based on the Open Splice community version which is the open-source implementation of the Object Management Group's (OMG) Data Distribution Service (DDS) for Real-Time Systems messaging middleware standard by the Prism Tech Company. The rest of this paper was organized as follows: related work was described in section II. Section III presented the architecture of the Monitoring System of the Heating System. In section IV, the implementation of the Server Layer and the Data Distribution Layer of the

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