The solid models of the mechanical parts were built in ProE software to on the basis of the analysis of the structural characteristics and movement of the interior transmission mechanism of the hoist, and assemble the mechanical parts of the solid models through certain constraint conditions, and simulate the process of its transmission. By simulating tracing the specified key point to get the its variation curve of displacement, the stabilization of the transmission mechanism was verified; comparing the velocity curve of the input shaft and the drum, we can get a conclusion that the transmission ratios of the ProE movement simulation are consistent with the theoretical calculation value, which providing data fundmenatal for further design, analysis and manufacturing of the interior transmission mechanism of the hoist.

Designing wedge falling-proof brake assembly of the lifter to protect the converter oxygen lance and other equipments. This paper briefly introduces the design principle. Pro/Engineer-based parametric solid modeling for virtual assembly of the falling-proof brake assembly, and then motion simulation, the working process of the wedge falling-proof brake assembly demonstrated through the animation demonstration, so the simulation is accurate and clear; at the same time falling distance is derived from the rope broken to the lifter locked through mechanical analysis, and putting forward the measures to reduce falling distance of brake at last.

Abstract. Some previous works show that more than 60% of the information available on the Web is located in Deep Web database. Such information cannot be directly indexed by search engines.In this paper, a hybrid method, which is composed of a domain model and a block importance model is proposed to extract information in Deep Web.The domain model is used for classifying and identifying whether a form is a WQI. The block importance model is used for filtering noisy information in response pages. These two models are both compared with a rule-based method. The experiment results indicate that the domain model yields a precision6.44% higher than that of the rulebased method, whereas the block importance model yields an F1 measure 10.5% higher thanthat of the XPath method.