基于对车削过程中刀具状态的声振特性研究，实现以单片机为核心硬件的车削过程多级监控系统．系统由保真消噪装置在线提取信息，通过简单硬件电路一级监控、单片机程控二级监控以及高级微机联网的多功能复杂信息处理与识别，进行三级以上的智能预报和监测以及状态模型的自学习和自我完善，是ＦＭＳ和ＣＩＭＳ的关键技术． Based on the study of the vibration characteristics of the tool during the turning process, a multilevel monitoring system of the turning process with the single chip microcomputer as the core hardware is realized. The system extracts information from fidelity de-noising device online, through simple hardware circuit level monitoring, single-chip programmable secondary monitoring and multi-function complex information processing and identification of advanced microcomputer networking, intelligent forecasting and monitoring of more than three levels and state model Self-learning and self-improvement are the key technologies of FMS and CIMS.