With the increasing application rate of CNC machine tools and the increasing demand for high-speed machining, the remote mechanical diagnostic function has become an increasingly important consideration for users when purchasing CNC machine tools. This feature benefits machine tool builders and enables machine tool builders to build long-term and close relationships with users. Thanks to the remote mechanical diagnosis and service system, for CNC machine users, it can: (1) realize predictive maintenance, detect hidden troubles early, reduce machine downtime, prevent sudden accidents, improve productivity; When shutting down, the user can control the machining of the machine under the guidance of the remote diagnosis and service system to minimize losses. (2) Transfer the special knowledge of the machine tool manufacturer to the machine operator and maintenance personnel to maximize the machine utilization. (3) Reasonably predict the life of the machine tool, so that the machine tool will be out of service in the case of quality assurance and production. At the same time, remote mechanical diagnosis and service can bring many benefits to machine tool manufacturers: it can reduce service personnel and expenses; conveniently track quality of machine tool usage, find weak links, continuously improve machine quality; Management, the organic integration of after-the-fact maintenance, planned maintenance and predictive maintenance. 2 system composition and function The main functional modules of the system are: network data processing module, network data transmission module, network diagnostic service program and status monitoring and remote diagnosis software. (1) Network data processing module A network data processing module is added in the upper layer software of the Huazhong I type numerical control system, and the data collected by the A/D data acquisition card is converted into a data packet according to a certain format, and sent to the network diagnosis connected to the system through the network data transmission module. Service program. Another function of the network data processing module is to scan the diagnostic result buffer, and call the corresponding numerical control system interface function to control the movement of the machine tool or adjust the system parameters according to the diagnosis result. (2) Network data transmission module The network data transmission module is also added in the upper layer software of the numerical control system, and is mainly responsible for receiving the data collected by the A/D data acquisition card in the numerical control system, and unpacking the received data according to the agreed format, and storing it in the transmission data buffer. In the meantime, it is also necessary to scan the received data buffer for parameter information to be received or the diagnostic result returned by the remote analysis system. The network data transmission module is also responsible for receiving format information of the collected data, such as frequency, number of segments, points, and the like. (3) Network diagnostic service program The remote diagnostic service system provides a convenient and efficient tool for the analysis and diagnosis of machine faults. The system can calculate various characteristic frequencies of the diagnosed gearbox and motor unit, including the motor and the mechanical part. The parameters to be input for the motor characteristic frequency calculation are: the number of rotor slots of the AC motor, the number of stator slots, the number of pole pairs, the actual speed, the radius of the outer circumference of the core, the inner radius of the core, the length of the core, the motor power, Motor model and power frequency. The parameters to be input for the mechanical part characteristic frequency calculation are: shaft rotation speed, bearing outer diameter, bearing inner diameter, bearing ball diameter, bearing ball (needle) number, gear teeth number, power frequency and shaft number. (4) Condition monitoring and remote diagnosis software For the accurate and effective monitoring and diagnosis, the software system is equipped with a typical fault spectrum that has been carefully screened, and can accumulate various typical fault spectra of the monitored machine tools based on operational experience. At the same time, authorized professionals can freely add, delete or modify diagnostic knowledge and fuzzy relation matrices through the knowledge editor in the module to ensure reliable and high quality diagnostic results. When actually performing fault diagnosis, the FFT and cepstrum analysis of the fault signal is first performed by the computer, and the fault symptom vector is automatically calculated according to the amplitude-frequency map. The fault diagnosis knowledge base is automatically retrieved by the computer, and the fuzzy logic diagnosis method is used to obtain the diagnosis result. 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1 Introduction