| The Internet of Things technology has brought a lot of convenience to regional situation monitoring and greatly improved the efficiency of decision-making.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 device 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.The existing IoT situation system can access multi-source and heterogeneous sensor devices and display the perceptual data of different devices on different visual interfaces.However,the information displayed by the system lacks the correlation degree,the data of different devices are completely separated on the visual interface,the system only provides a single information of multiple data sources,it is very difficult to clarify the relationship between the data of different devices.Unable to display integrated information after fusion of multi-sensor data.The system lacks the depth of understanding the target,only through one or two kinds of perceptual means,only through a single way of perception,the lack of spatio-temporal view of the image of the target information display,unable to explore the surface of the monitoring systemThe deeper information of hidden threat criterion contained in the phenomenon of target threat lacks a deep understanding of the nature of various alarm events and dangerous behavior which leads to the deviation of the overall cognition of the regional protection problem.Because of the lack of spatial characteristics,the system can not display the regional flow and hot spot density of the target from a spatial perspective.And the technology used in the existing system can only meet the demand of real-time monitoring a display mode,which only emphasizes the real-time display of situation information,ignoring the query and playback of historical data.Therefore,it is an inevitable requirement to develop situation system to study an architecture that supports real-time history dual display mode.This paper designs and implements a real-time historical dual display mode situation system based on space-time paradigm.The system accesses multi-source heterogeneous sensing data,performs real-time situation monitoring and historical data playback based on target information graph and multi-dimensional data view,and performs coarse-grained and global target tracking interpretation and target portrait based on GIS service..The results of the situational system simulation experiment show that the system can effectively display the correlation between different equipment data,and has a deep presentation of the target threat criterion information.It can also recognize the target from a spatial perspective,and display the situational data in a dual display mode combining real-time and history,and use the buffered batch loading algorithm to achieve low-latency and high-efficiency historical playback during playback.The system designed is feasible and effective. |
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