Application of big data visualization prediction analysis engine in coal mine water disaster monitoring and early warning
Zhao Yanchao1; Li Peng1; Wu Tao1; Duan Jiangfei2
1. China Coalfield Huasheng Hydrogeological Investigation Corporation Ltd., HanDan, 056004, China; 2. Institute of Hydrogeological,Engineering Geological and Environment Geological Exploration, China General Administration of Coal Geology, Handan 056000, China
Abstract:This paper designs the network architecture and software hierarchy of the customized visual analysis engine, and abstracts the main function modules of the engine, and implements them according to the development steps of software engineering. At the same time, after the preliminary completion of the customized visual analysis engine, the front end, back end and each module of the system are tested, and the test results are sorted out and analyzed from the functional and non-functional perspectives. The test results meet the requirements. Finally, the engine is integrated into the coal mine water disaster monitoring and early warning system, which shows that the engine can help the managers of the monitoring platform easily build visual applications through graphical interfaces, and meet the display requirements of water disaster data monitoring and water disaster information analysis.
赵延超1,李 鹏1,吴 涛1,段江飞2. 大数据可视化预测分析引擎在煤矿水害监测预警中的应用研究[J]. 煤炭与化工, 2022, 45(5): 53-57,62..
Zhao Yanchao1; Li Peng1; Wu Tao1; Duan Jiangfei2. Application of big data visualization prediction analysis engine in coal mine water disaster monitoring and early warning. CCI, 2022, 45(5): 53-57,62..