TSX07312422 SCHNEIDER

Algorithm development.Intelligent manufacturing needs to realize self-decision,self-management and self-learning based on data and fully exploit the value of data.From data source collection,data presentation,data analysis to self-diagnosis,automatic feedback,and automatic adjustment and control,the process is inseparable from algorithm development.Algorithm development is a multi-disciplinary and interdisciplinary work,which requires not only a deep understanding of business,but also IT technical thinking.At present,there is still a big gap in the resources of algorithm development in my country.

算法开发。智能制造需要基于数据并充分挖掘数据价值而实现自决策、自管理、自学习，从数据源采集、数据呈现、数据分析到自行诊断、自动反馈、自动调整控制，过程离不开算法开发。而算法开发是一个多元跨界和交叉学科的工作，既要求对业务有深入理解，又要求有IT技术思维。目前，我国在算法开发的资源上还存在很大差距。