Research Of Data Fusion Module In Iot Resource Access And Intelligent Processing Platform

With the development of sensor and wireless communication technology, the application of Internet of Things has been widely promoted. Environmental awareness has already touched all aspect of our life, and the information reaches the enterprise application in the form of high-speed data flow. Enterprise applications need to continuously access data to analyze large flows of real-time events, gain insight into the data,and responses to the changing external world automatically. Meanwhile,the huge historical data of IoT can deepen user's understanding of what is happening now in a very short time so that avoid unnecessary resource consumption during the decision-making process. However, the traditional application of the upper layer confronts the massive data of IoT directly, the pull-style response not only can not meet the high real-time demand of modern applications, but also increases the burden of upper applications, resulting in the tight coupling between the network layer and application layer. So the data fusion module, which is insert between network layer and application layer, is designed to deal with massive data in IoT, and only transmit meaningful processing results to upper applications. It seperates the data producers and consumers.Therefore, data consumers are able to determine the follow-up process dynamically based on the data content, which is more in line with the increasingly complex and flexible business logic architecture.The research work of data fusion module in IoT resource access and intelligent processing platform contains three parts. Data probe layer is responsible to access historical data and real-time data. Resource allocation layer prepares all the resources before the data fusion work.Fusion model management layer provides three configurable fusion model and model management.In the end, according to data fusion module designed in this paper and the JinFang heating monitoring system as the business scenerio, the experimental results show that the data fusion module designed in this paper can realize the data fusion of real-time data and historical data in the Internet of Things platform, and ensure the real-time processing.