介绍了基于交变磁场测量技术的无损检测仪器的工作原理和测量方法,并在此基础上提出了基于数据挖掘技术的网络化无损检测系统,本套系统利用数据挖掘技术从无损检检测仪器的数据服务器的海量数据中提出有用的信息,并结合模式识别技术和神经网络技术建立自适应的缺陷识别模型,利用网络实时修正系统中仪器的检测模型,提出了网络化无损检测仪器的结构,并阐述了网络化仪器的发展状态和前景. The working principle and measuring method of non-destructive testing instrument based on alternating magnetic field measurement technology are introduced. Based on this, a networked non-destructive testing system based on data mining technology is proposed. The system uses data mining technology from non-destructive testing equipment Data server to put forward useful information, and combined with pattern recognition technology and neural network technology to establish an adaptive defect identification model, the use of network real-time correction of the system detection model of the instrument, the proposed network NDT instrumentation structure and Describes the development of networked instruments and prospects.