基于计算机数据挖掘的农机设备状态智能检测研究

Study on Intelligent Status Inspection of Agricultural Machinery and Equipment Based on Data Mining

在分析支持向量机分类法和蚁群算法在数据挖掘中的应用特点基础上,阐述了支持向量机分类方法在农机设备状态智能检测中的应用的优势。进而分析了计算机数据挖掘技术在农机设备状态检测过程中数据分析与数据整合的机制,以实现人工智能在农机设备检测中的应用,并显著降低了检测数据和结果的误差,为提升农机设备的作业效能提供相关的技术支持。

Based on analysis of application characteristics of support for vector machine classification and ant colony al-gorithm in data mining,advantages of support for vector machine classification in intelligent state inspection of agricultural machinery and equipment were discussed,and data analysis and integration mechanisms of data mining technology in intel-ligent inspection of agricultural machinery and equipment were analyzed,so as to realized application of the technology in artificial intelligent inspection of the machinery with reduction of errors of measurement and results,which could improve operation effects oand provide technical support for the agricultural machinery and equipment.