Tianguo Jin’s research while affiliated with Harbin Institute of Technology and other places

To deal with the problem that consistency in semantic representation of exchanged product knowledge in collaborative manufacturing, an ontology-based framework of knowledge integration and sharing was presented, and in the meantime an integration algorithm based on ontology mapping and merging was designed under this framework. First of all, a collaborative operation model for enterprise collaboration was discussed, and then an ontology-based framework of knowledge integration and sharing was established. Under the condition of analyzing the structure of product knowledge ontology, an ontology logic schema of knowledge concept was designed. Aiming at the ontology logic schema, an ontology integration algorithm of product knowledge was also improved. The algorithm is composed of ontology mapping and merging. Finally, the proposed ontology integration algorithm has been verified to be effective through the comparing experiment.

To ensure full information transparency and appropriate resource sharing in project-oriented collaborative manufacturing environment, a trust evaluation algorithm was presented in this study. The trust evaluation algorithm is applied in a hybrid access control model, which combines the project-based access control model with the role-based one. The model limits operations of a role in a concrete project to guarantee the confidentiality and the integrality of the collaborative environment. The trust evaluation algorithm was introduced for the resource access of across administration domains in collaborative environment, in order to judge, by the confidence value, whether to the dynamic authorization to users or not. Finally, the architecture was discussed and the simulation experiment to the algorithm was carried on. The result of the simulation experiment matches with the requirements of the application so that the validity of the algorithm was proved.

In order to realize visualization and intelligence of computer-aided process planning, this paper proposes an intelligent system with the integration of workflow technology and max-min ant system. Workflow modeling technology was applied to represent multi-process routes decision-making problem (MRDP) and a heuristic algorithm based on expert knowledge was designed to construct the directed graph for MRDP. Moreover, a modified ant colony algorithm was proposed to exploit the best solution using improved max-min pheromone strategy and the way of updating pheromone. Finally, an experiment example is illustrated to demonstrate the proposed methodology.