An Intelligent Calculation System of Machine Time of Research Instruments Based on Improved k-means Algorithm
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.
machine time of instrumentk-means algorithmintelligencecurrent data
万方数据
维普
