Study on Intelligent Talent Training Strategies for Coal Mining Enterprises
The double-carbon strategy is a catalyst to promote the reform of China's energy industry.However,the lack of intelligent talent teams leads to the difficulty in meeting the needs of the rapid development of coal mine intelligent.To address this issue,the questionnaire data of college graduates in the past five years who worked in coal mine enterprises from 2021 to 2022 was taken as the research samples,and the Pearson correlation algorithm was used to test the reliability and validity.On this basis,the chi-square test algorithm was used to analyze the weak links of talent training.Then,based on the hierarchical clustering algorithm,the contradiction between subject teaching and enterprise demand was further analyzed,and the principal component analysis algorithm and DBSCAN density clustering algorithm were integrated to explore the influence of professional teachers on the construction of intelligent professional talent teams in coal mines.Finally,the construction strategy of intelligent professional talent teams in coal mines under the constraint condition of double-carbon targets was studied.The effective implementation of this strategy can provide a new idea for accelerating the cultivation of intelligent talents in coal mines and is conductive to achieve the of double-carbon goals.
Intelligent coal mineDouble-carbon targets constraintConstruction of professional talent teamPrincipal component analysisDensity clustering
万方数据
维普
