The structure of forging equipment and manufacturing technology can effectively express empirical knowledge, because it is very close to human natural language, easy to acquire and encode knowledge. In mold design, concept design is a very important step. The design problem of a pair of drawing die end assemblies can be changed into the upper mold end design, the lower mold end design and the pressure ring end design. Subtopics, each sub-question can be further transformed into a smaller sub-question. Solving the set of sub-problems solves the design problem of the end component.
If the premise (constraints) of each concept node is attached to the above nodes of the 'or tree, it forms a conceptual reasoning network diagram, representing conceptual nodes, representing constraints, based on framework and object-oriented standard knowledge. The characteristic of the representation framework is that the relationship between the physical entity and the entity can be described in detail. In the object-oriented knowledge representation, the object is a comprehensive entity that expresses the attribute structure, related domain knowledge, attribute operation process and knowledge usage method. In the representation of standard parts knowledge, it includes the knowledge of the cover mold structure, functional modeling knowledge, assembly design knowledge and other related knowledge, which consists of attribute slots, relationship slots, method slots and rule slots. The rule slot is mainly used to store the rule set introduced in the section. When solving a problem, an object can hold different rule sets for different tasks. Using object-oriented methods to describe the knowledge of standard parts, you can easily express the knowledge related to standard parts, especially the assembly relationship, positional relationship, integration relationship and relationship between parts can be effectively represented, so that in intelligent assembly Can effectively reason. Reasoning knowledge of standard parts knowledge and knowledge search are two important aspects of knowledge application. In the introduction of rule representation knowledge, rule-based reasoning has been mentioned. For this standard part system, after selecting standard type based on rules, Loading the corresponding main model, driving the required model according to the corresponding parameters, and then automatically assembling according to the assembly surface defined in the assembly relationship and the positional relationship, and the plurality of identical parts will be loaded in the form defined by the component (integrated relationship, Moreover, automatic generation of associated features such as mounting holes and yielding holes is performed according to the definition in the association relationship.
When there are too many rules, the efficiency will become low. Sometimes the knowledge rules are not easy to extract, and some knowledge needs to be updated constantly. At this time, another reasoning method and case-based reasoning should be adopted. It is used in the typical assembly instance library in this system. It is to solve the current problem with past examples and experience. It is an effective reasoning technology that has penetrated into various industries. Instance-based reasoning is based on the description of the problem, extracting examples similar to the problem description in the existing instance library. If it is completely matched, it can be called directly; if there is a certain degree of similarity, the instance can be modified and reconstructed based on the comparison between the problem and the instance, and finally the solution to the problem can be obtained; if necessary, the new one can be The instance is directly stored in the instance library, or the old instance in the library is replaced, or merged with the old instance as a new instance.
Forging equipment and manufacturing technology have strong scalability and good adaptability. Examples of instance libraries should include design goals, design conditions, design results, and design evaluations, which represent the framework-based and object-oriented representations described in the previous section. The assembly examples of the entire standard parts library can be decomposed layer by layer according to the category of the standard parts classified by the previous functions, and each level instance can be used separately, which not only supports the instance retrieval of the overall design, but also supports the instance retrieval of the component design. The retrieval method here adopts the nearest neighbor method, which assigns one weight to each attribute of each instance. When searching for an instance, the best matching instance is selected according to the total similarity of the attributes of the target instance and the instance in the instance library. .
Using this retrieval method, the assembly example of the entire mold standard parts library, that is, the highest level instance retrieval, is first searched according to the mold type, the mold subtype, the convex and concave mold size, the pressure ring size and other attributes, and the similarity example is obtained. The assembly scheme (design result) of the assembly example of the standard part satisfying each function, and if some similarity cannot be satisfied, the assembly example of the standard part is refined to obtain the assembly scheme (sub-design result). The class definition of the specific standard part has the definition of the geometric attribute, the model is driven according to the parameter, and then the intelligent assembly is performed according to the definition of the assembly relationship, the position relationship, the integration relationship and the association relationship. The acquisition of standard parts knowledge has already mentioned knowledge acquisition. The basic task of knowledge acquisition is to identify and integrate the knowledge contained in the knowledge source, and establish a perfect and effective knowledge base to meet the needs of solving domain problems. The main sources of knowledge are experts, books and knowledge bases.
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