组合机床与自动化加工技术
組閤機床與自動化加工技術
조합궤상여자동화가공기술
MODULAR MACHINE TOOL & AUTOMATIC MANUFACTURING TECHNIQUE
2015年
6期
61-64
,共4页
智能诊断%物联网%预警
智能診斷%物聯網%預警
지능진단%물련망%예경
intelligent diagnosis%the internet of things%warning
针对由于机床故障诊断中人工判断误差大、发现不及时等问题而造成机床部件疲劳损坏、生产停滞等现象，该研究提出将物联网、神经网络技术应用于机床故障诊断，通过在机床主要部位部署多种传感器，实现对机床运行数据的实时采集、分析和处理，完成对机床故障的智能诊断和预警，结合web应用和手机app应用实现操作人员和管理人员对机床故障、运行状态的实时掌控，提高了机床故障诊断的智能化程度和实时性，通过实测证明该研究对机床故障的诊断具有前瞻性、可靠性和实时性，提高了机床故障的诊断能力和预警能力。
針對由于機床故障診斷中人工判斷誤差大、髮現不及時等問題而造成機床部件疲勞損壞、生產停滯等現象，該研究提齣將物聯網、神經網絡技術應用于機床故障診斷，通過在機床主要部位部署多種傳感器，實現對機床運行數據的實時採集、分析和處理，完成對機床故障的智能診斷和預警，結閤web應用和手機app應用實現操作人員和管理人員對機床故障、運行狀態的實時掌控，提高瞭機床故障診斷的智能化程度和實時性，通過實測證明該研究對機床故障的診斷具有前瞻性、可靠性和實時性，提高瞭機床故障的診斷能力和預警能力。
침대유우궤상고장진단중인공판단오차대、발현불급시등문제이조성궤상부건피로손배、생산정체등현상，해연구제출장물련망、신경망락기술응용우궤상고장진단，통과재궤상주요부위부서다충전감기，실현대궤상운행수거적실시채집、분석화처리，완성대궤상고장적지능진단화예경，결합web응용화수궤app응용실현조작인원화관리인원대궤상고장、운행상태적실시장공，제고료궤상고장진단적지능화정도화실시성，통과실측증명해연구대궤상고장적진단구유전첨성、가고성화실시성，제고료궤상고장적진단능력화예경능력。
When diagnosing on machine tools, there exist problems as big error, delay found, etc. , which lead to fatigue damage and stagnation production of components. To solve the problems, the technologies of IOT( internet of things) and neural network are used in diagnosing machine tools failure. Many sensors are fixed on the main parts of machine tools to conduct in-time collection , analysis and handling on running da-ta, besides, to fulfill the task of intelligent diagnosis and warning on failures. The system combined web and app to realize the operators’ and administrators’ in-time control on failures and running state. It also im-prove the intelligence level and instantaneity. the testing results showed the study and design improved the diagnosis and warning ability on machine tools’ failures.
