Fault Analysis System for Agricultural Machinery Based on Big Data

Abstract

With the continuous development of agricultural mechanization and information, agricultural machinery failure analysis has become an important issue. Providing effective agricultural machinery failure analysis for agricultural workers can save considerable time and cost. This paper addresses this issue by designing and producing a platform for data analysis of agricultural engineering machinery. Through the collection and analysis of agricultural engineering machinery floor data and with the help of the Internet and big data technology, physical modeling, charts, and other intuitive forms have been developed to provide information for personnel on the mechanical parts of agricultural engineering machinery, the cause of failures, and maintenance requirements. This novel agricultural engineering machinery management analysis platform currently has access to 100 million data points, with system access for capacity expansion, and provides fault detection and maintenance examples. It has already been applied in multiple farms across many of China's provinces.

Keywords

• Agricultural machinery
• big data
• sensor
• data analysis