Research On Cyber-Physical System For Automobile Spring Manufacturing Process

With the fast development of automobile manufacturing, automobile spring manufacturing is welcoming a good momentum of development, and as its scale of production is expanding, producers are putting more and more strong requirements on information management, remote control, distributed widely sense and reasonable scheduling of resource, in addition to the consideration of operation performance of production control system.Automobile spring is a kind of resource-type and high-genergy consumption production with the characteristics of multi-species and multi-processes. For the large scale manufacturing process of large amount of production and distributed regions, nowadays existing manufacturing system cannot widely sense and get the production information in time. Moreover, it’s not permitted for the information layer to effect on the field control directly that information management is independent of field control, leading to resource scheduling with low efficiency and disappointing results, as well as the large deviation between production result and its plan.Hence, according to the manufacturing process of automobile spring production, a cyber-physical system for it is presented, and the main tasks below of this paper are included:(1) Analyzing the present situation and needs of automobile spring, proposing and designing a CPS architecture for automobile spring manufacturing process, according to the characteristic of cyber-physical system;(2) Classifying and characterizing all kinds of manufacturing data produced along the process of automobile spring manufacturing; for the widely existing heterogeneous networks, presenting a fusion transmission technology of heterogeneous networks, and designing an embedded CPS gateway.(3) Designing a manufacturing management module of automatic manufacturing process based on indexes decomposition, and presenting a resource scheduling strategy based on genetic algorithm, meanwhile with a collaborative design of control and scheduling of CPS.(4) Having tests of CPS gateway on a physical platform, as well as simulations of gateway load balancing algorithm and resource scheduling strategy based on genetic algorithm with tools of Matlab. The results show that this CPS gateway can be fused access to varieties of heterogeneous networks such as field bus networks, RFID networks and WSN etc., with the ability of load balancing, and that the resource scheduling strategy based on genetic algorithm contributes to gaining the optimal candidate resource, realizing the multi-object optimization among production quality, production efficiency and process cost, meeting the requirements of practical manufacturing indexes.With the studies all above, the problem of management and manufacturing of a large amount of and varieties of automobile spring can be solved. Meanwhile, all kinds of resources such as people, devices, and raw material and so on, are introduced by varies of networks into the scope of management, control and scheduling of system, then the whole manufacturing process from order form to field control will be automatic managed and the manufacturing resource will be optimized, achieving a deeply integration between information management and field control, which is a breakthrough of manufacturing in management and field control, and the key technologies can be used in intelligent home, intelligent transportation, precision agriculture, bringing good economic benefits.