The Research And Implementation Of Wireless Sensor Node Design And Real-time Data Processing

As the wireless sensor networks around human being, the progress of technology makes our lives very convenient.The wireless sensor networks has been used in environments, building construction, military, agriculture, industry and many other fields.As the increment of the application scale and complexation, the works should run on the heterogeneous platform. This makes the development difficult and complex. The restriction of the transplantation and utilization has bad effect on development of the wireless sensor networks.This dissertation focuses on the IoT middleware technology of Sedona Framework, the major work as follows:1. This paper presents a new approach to t the IoT middleware technology for wireless sensor network node design. The essense of the design method is the abstraction and modeling of the objects and the equipments and the individual design according to the requirements. It can connect, manage and integrate any protocol, any networks, any vendor’s smart devices and systems. It is achieve real interconnection, interoperability and interchange.2. This method realized the video people flow system in Synsization Lab of Computer Science School of Beijing Jiaotong University’s node design. It is enabled Web Sever, you can show the real-time flow of information on the web page after connected the Ethernet. We can use the cellphone query data convenient and facilitative.3. It is verified the feasibility and effectiveness of the IoT middleware technology in the wireless sensor network node design and improved the portability and versatility of wireless sensor network system software.This is the initial utilizaion of Sedona technology in IT management in the universities in China, which can promote the intelligent informatization development. This method has some practical and promotion significance. It efficiently increases the supervision of the lab, computer room and training room in colleges and promotes the automation of the management process in college. This technology reduces the requirements of automatic R&D personnel, and it has fast development speed and relatively low costs. In addition, it will save hardware costs when the system is upgraded.