Research on the big data construction of equipment support

This paper analyses the main work of equipment support from three aspects of the equipment life-cycle, support object and support work, analyses the main data and data source from the equipment life-cycle systematically, discusses the four main features of high capacity, diversification, rapidity and low density of the data in the field of equipment support, analyses the existing problems in the construction of equipment support data, such as the lack of standards, the dispersion of the management, the single type and the low level of application, and gives some suggestions on big data aspects for equipment support data construction from the top-level planning, data acquisition, processing, analysis, application of standard system services.