面向石化领域的大数据故障预警系统实现

In the field of petrochemical industry, the fault caused by failures are enormous. Therefore, fault prediction in petrochemical industry have became one of the urgent problems to be solved. To solve the above problems, this paper designs and implements a big data fault prediction system for petrochemical industry. as for the algorithmic aspect, this system implements an algorithms which is based on principal component analysis. As for the software implementation aspect. A big data system which have function of data acquisition and storage, algorithm module scheduling and data analysis results display is implemented. This helps petrochemical technicians better deal with the fault.