Design and Implementation of Real Time and History multi-view IoT trend Display and Control System

The Internet of Things technology has brought a lot of convenience to regional situation monitoring. Facing complex and interrelated monitoring methods, IoT systems need to access a variety of sensor devices. It is necessary to comprehensively display a large number of multi-source heterogeneous sensing data. The existing work can access multi-source heterogeneous sensor devices and display the sensing data of different devices on different visual interfaces. However, the information displayed by the system lacks relevance, and it is difficult to clarify the relationship between different sensor data, and it is impossible to display comprehensive information after merging multi-sensor data. Moreover, there is few work that meet the needs of query and playback of historical data. This paper designs and implements a real-time and historical multi-view IoT trend system to deal with the mentioned problems. Using the target information graph, it displays the relationship between different sensor data, and using the method combined real time and history, it proposes a buffered batch data loading algorithm to form a dual-display mode system. An IoT trend simulation platform based on B/S-MVC-MVVM architecture was built. Based on this platform, multi-source heterogeneous sensor data is accessed. The experimental results show that the system can display the relevance of the information and realize the historical data playback effect.