Aiming at the problems that existed in the actual application of traditional measurement methods for large-size components, the size measurement and detection method of large-size components based on machine vision was researched and discussed, and the imaging model was built, of which on the basis, the feature edge detection method was applied into the large-size components measurement, thus the image stitching algorithm based on feature edge detection was pointed out, and after simulation, the simulation result shows that the image stitching algorithm based on feature edge detection has good real-time performance compared with the traditional corner detection stitching algorithm, and the former has better accuracy than that of the latter. So the image stitching algorithm based on feature edge detection could enhance the accuracy and efficiency by taking use of large-size components measurement based on machine vision, and it is significative for enhancing the application level of large-size components measurement based on machine vision.

Suitable structure for plenum chamber lead to a significant enhancement of the relaxation heat setting machine performance, this paper presents the influence of opening ratio and static pressure on flow velocity. Optimization design method is employed to identify the optimum opening ratio and structure dimension of plenum chamber quantitatively. Furthermore, a numerical approach is presented to validate the optimization results, numerical studies indicate that decreasing opening ratio has better effect on mending air flow uniformity than constant opening ratio, the optimized structure results in the relative velocity error rate decrease by 23.7%.

The textile industry is China's traditional advantage industry. The demands of the textile industry productions efficiency and cost control are much higher than before. LL680 loom frames finite element model was made and analyzed for the companys demand of high-speed improvement, then used experiment to verify. The results show that the modeling method is right and it provide a viable model for structural improvement.

Photogrammetric was widely used in engineering applications. But in a moving scene the standards’ position kept changed and accuracy of measurement would wave synchronously. To get a stable and precise optical measure system, a method using synchronously moving light standard with the camera was presented in this paper. The paper described the principle of measurement, the recognition algorithm and the height calculation. To meet the Real-time requirement a pre-computer method was used to optimize the calculation and to shorten the consume time. Experiments results show that the method has high accuracy and rapid detection speed to guarantee a constant clearance between the air pipe and uneven ground around railway.

The efficiency of design has significant impact on the overall lead time for the new product of heavy industry machinery. Case-based reasoning (CBR) can be used to heavy industry machinery design for improving the effectiveness of design. However, CBR is short of flexibility to cope with the semantic retrieval, which is the main cause of the decline in the efficiency and accuracy. Confronted with the problem, the approach has been developed based on the combining ontology and retrieval in case-based reasoning for heavy industry machinery design. Through incorporating ontology with CBR, the paper provides a flexible and comprehensive operation. An example case study of rotary drilling rig demonstrates the potential which the proposed method is more effective to retrieve cases on the semantic level.