基于大数据优化的煤矿智能感知应用技术

Application Technology of Coal Mine Intelligent Perception Based on Big Data Optimization

探讨了煤矿智能感知关键技术在安全生产中的应用,从煤矿生产环境监测、矿井通风与瓦斯治理、矿山救援等方面详细介绍了煤矿智能感知关键技术的应用现状。通过对各种应用场景的分析,指出了目前煤矿智能感知关键技术在实际应用中存在的问题,如传感器精度不足、数据传输不稳定、数据处理能力有限等。针对上述问题,提出了一种基于大数据的煤矿智能感知关键技术优化方案。该方案通过引入大数据技术,实现了对煤矿生产环境数据的高效存储、处理和分析;通过基于大数据的数据融合技术应用,实现了对煤矿生产环境的智能识别和预警。

Explored the application of key technologies of coal mine intelligent perception in safety production,and provided a detailed introduction to the current application status of key technologies of coal mine intelligent perception from aspects such as coal mine production environment monitoring,mine ventilation and gas control,and mine rescue.Through the analysis of various application scenarios,pointed out the problems that currently exist in the practical application of key technologies for intelligent perception in coal mines,such as insufficient sensor accuracy,unstable data transmission and limited data processing capabilities.In response to the above issues,proposed an optimization scheme for key technologies of intelligent perception in coal mine based on big data.This scheme achieves efficient storage,processing and analysis of coal mine production environment data by introducing big data technology.Through the application of data fusion technology based on big data,intelligent recognition and early warning of coal mine production environment have been achieved.