Real-time Visualization Method for Processing Data Stream

Authors

Hongqian Chen, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;;
Li Hui, 2. College of Management, Beijing Union University, Beijing 100101, China;
Fang Yi, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;;
Chen Yi, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;;
Beibei Zhou, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;;

Abstract

Abstract: To visualize the status data of the procedure in real time, a visualization method supporting by the relating static model was proposed. The static models were built in the method. The processing status data were divided into some data segment matching to the static model. The dynamic model for each data segment was built based on the shape of the corresponding static model. Each part of the model was colorized or texturized based on its type or value. All the dynamic model and static model were linked and assembled due to its logical relation. The final visualization result for each moment was obtained by rendering all the models in the whole system. The oil well injection procedure was selected as the typical instance to exposit the method. The experimental results denote the method can achieve the intuitive and accurate expression for the processing data stream. The method can visualize the dynamic procedure in real time.

Recommended Citation

Chen, Hongqian; Hui, Li; Yi, Fang; Yi, Chen; and Zhou, Beibei (2020) "Real-time Visualization Method for Processing Data Stream," Journal of System Simulation: Vol. 27: Iss. 10, Article 49.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss10/49

First Page

2560

Revised Date

2015-07-30

DOI Link

https://doi.org/

Last Page

2566

CLC

TP391.9

Recommended Citation

Chen Hongqian, Li Hui, Fang Yi, Chen Yi, Zhou Beibei. Real-time Visualization Method for Processing Data Stream[J]. Journal of System Simulation, 2015, 27(10): 2560-2566.