At present, the field of automotive intelligent manufacturing is facing two major difficulties and pain points:First, the production line equipment is prone to failure and has a serious impact. Once the current production line equipment is shut down due to a fault, it will affect the production rhythm and reduce the output, or cause production stoppage in the worst case, causing huge losses to the manufacturer. Monitoring the performance status of production equipment and predicting faults is the key to ensuring the reliability of equipment to achieve normal production and operation.Second, it is difficult to realize automatic and flexible production changeover for traditional single-production lines. The traditional multi-variety manufacturing needs to build a separate line, the cost of production line construction is high, and the new product launch cycle is long, and it is increasingly difficult to adapt to the requirements of multi-variety, variable batch, equal emphasis on research and production, and mixed-line production mode.