基于Django的机床故障在线诊断平台

Online Machine Tool Fault Diagnosis Based on Django

使用Python Web框架Django,结合C/S架构,开发一款基于移动端的机床故障在线检测平台。通过对海量的分散的互联网数据进行采集,获取互联网上相关设备故障和维修解决方式,形成知识库。当机床发生故障时,输入数控机床相关参数,包括品牌、型号、故障代码、某个或多个超出阈值参数、故障描述等,在线检测平台可以帮助工作人员迅速了解机床故障原因以及具体的解决方法,为工作人员提供可行性建议,提高解决机床故障的工作效率,从而保障生产的正常进行。

Using the python web framework Django,combined with the C/S architecture,a mobile-end based machine tool fault online detection plat⁃form is developed.Through the mass of scattered internet data collection,the platform obtains related equipment failures of the internet and maintenance solutions to form a knowledge base.When the machine tool fails,input the related parameters of the machine tool,including brand,model,fault code,one or more over-threshold parameters,fault description,etc.the on-line detection platform can help the staff to quickly understand the cause of the machine tool failure and the specific solution,provide feasible suggestions for the staff,improve the effi⁃ciency of solving the machine tool failure,thus ensuring the normal operation of the production.