摘要
Abstract
In view of the existing problems of low efficiency,insufficient accuracy and others in labor quota management of coal mine downhole,based on the theory of labor quota management,advanced technologies such as big data analysis,artificial intelligence,the Internet of Things and so on are adopted to construct an intelligentize labor quota management system.Real time data collection is carried out using sensors and RFID technology,and data storage and processing are carried out with the help of big data platform.Through machine learning algorithm to conduct data analysis and prediction,thereby achieving precise setting and dynamic adjustment of labor quota.This system can automatically collect and analyze data on the labor intensity,working hours,production efficiency and so on of downhole workers,intelligently generate labor quota suggestions,and optimize them in real time according to actual situations,improving the efficiency and accuracy of labor quota management,reducing human errors,and enhancing the overall production efficiency and safety of coal mine.关键词
劳动定额管理/智能化发展/煤矿井下/资源配置/安全水平Key words
labor quota management/intelligentize development/coal mine downhole/resource configuration/safety level分类
矿业与冶金
