Research on Visualization Processing of Military Time Series Data

With the rapid development of information technology, the demand for the application of massive temporal data in the military field is gradually increasing. The visualization of time series data in the military field especially contributes to enhance battlefield situational awareness. Traditional relational databases can only record the current value of data, while temporal databases can record temporal change data in the dimension of time. In response to the problems of slow response to massive temporal data queries and low efficiency in processing temporal data in relational databases, this paper studies and analyses the relevant technologies for processing time series data in the military field. In order to achieve efficient time series data visualization processing, we design and implement the system which was based on HBase, a distributed time series database OpenTSDB and data visualization plugin DataV. Finally, we illustrate the visualization system using four different types of time series data, and demonstrate its superiority and wide application prospects in processing complex time series data.