This research attempts to use the pattern recognition (PR) technologies with associative memory to real-time pattern recognition of engineering components by a parallel computing system. In this paper, component patterns are stored in the database system. Their properties and specifications are also attached to the data field of each component pattern except the pattern of engineering component. Distant engineer is able to draw directly the shape of engineering components by the browser, and the recognition system will proceed with search for the component database of company by the structure of Internet. Component patterns with the matching approach of database system will be able to improve the capacity of recognition system effectively. In our approach, the recognition system makes use of parallel computing, and it will raise the recognition rate of system. In this paper, our recognition system is a client-server network structure by Internet. The system uses a recurrent neural network (RNN) with associative memory to perform the action of training and recognition. The last phase joins the database matching technology in process of the recognition except parallel computing, and it will solve the problem of spurious state. In this paper, our system will be carried out in the Automation Electrical Engineering Company. Therefore, the cooperative plan of above context will be analyzed and discussed in this paper.