Traditional machine time statistics often use manual work,which is not only inefficient but also relatively costly.Therefore,this paper proposes an intelligent calculation system of machine time of research instruments based on an improved k-means algorithm,building upon traditional machine time calculation methods.The system completes the calculation and statis-tics of the machine time of the instruments through cluster analysis of the instrument machine time current data,and simultane-ously improves the traditional k-means clustering algorithm to enhance the accuracy of the machine time calculation.The results show that after using the improved k-means clustering algorithm,the system performs better in the calculation of the machine time of the instruments,the calculated time is the same as uptime,and is able to achieve an error standard of 0 to a certain ex-tent.This indicates that using the improved clustering algorithm for the machine time statistics of the instruments can enhance the accuracy of machine time calculation results.
关键词
仪器机时/k均值聚类算法/智能/电流数据
Key words
machine time of instrument/k-means algorithm/intelligence/current data
维普
万方数据