Desige And Implementation Of Data Service Of IoT Resource Access And Intelligent Processing Platform

IoT resource access and intelligent processing platform, aiming to achieve a common platform for the IoT environment, can solve resource access, messages distribution, data storage, complex event processing and other requirements. The platform can shield the underlying complex system for developers, so that developers will focus more on upper-layer business applications. This platform can be applied to a variety of IoT scenarios. It can make unified resource modeled for specific scenarios,the heterogeneous device to resources and access them to the platform. Then, the platform extracts and encapsulates sensor data and distributes them through a publish/subscribe system for other modules.The platform mainly consists of six functional modules, respectively is the unified resource modeling tool, heterogeneous resource access module, the unified messaging distribution networks based on publish/subscribe system, complex event processing module, resource directory and data storage module.Based on the original data storage module, the data service extends and encapsulates the module, then integrates data resources of the platform and provides various forms of data services. It satisfies the data storage and access needs of other modules by providing the specific service interface. The structure can be divided into two parts: service interface and the data storage resources. According to the actual needs of the platform, data service integrates the data resource storage of the platform, moreover, data service need solve the sensor data storage requirements and the output data storage from the complex event processing module, and meet the specific data requirements of other modules.The main contents of this thesis are as follows:(1) The IoT resource access and intelligent processing platform are introduced as well as the function of each module, focusing on the analysis of data characteristics, and introduces the specific design and implementation of the original data storage module, analyzing the existing problems and the need to expand the function. Finally, a preliminary solution is put forward.(2) The thesis analyzes the current data storage resource on the platform as well as data needs of functional modules of the system, and then put forward the design idea of the data service and realize it. The system mainly uses the original data storage module as the core storage module, then modifies the relevant functions and data structure to support the storage of sensor uplink the data module, complex event real-time and historical data and video file output data. On this basis, the system provides related services in the form of Web Service.(3) Run the whole system and perform functional tests with other modules. Finally, test results are listed and analyzed.