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The modern web-based distance education overcomes space-time restriction of the traditional teaching forms. However, being short of specifically observable and operable experimental equipment makes the web-based education lack advantages in the knowledge learning progress, which needs strong stereoscopic effect and operability. Truck crane is the most widely used crane installed on ordinary or tailor-made chassis with strong operability. This paper introduces a kind of interactive truck crane simulation platform based on the virtual reality technology, on which can complete the simulation experiment of the crane's movement. The framework and working principle of the interactive truck crane simulation platform are discussed in the paper, while landing leg and hook are used as an example to show the motion control mechanism of truck crane components. The interactive truck crane simulation platform uses the browser-based structure, Java3D, virtual reality and Java Applet, etc. to develop a Web3D virtual reality learning environment, which has the advantages of good interaction, strong sense of reality, simple update, less investment and so on. This learning environment can meet the needs that many students study online at the same time, so it has important application in the distance education of mechanical profession and remote training of vocational skills.

In this paper, an in-depth study on the quantification of influencing factors and big data visualization of key monitoring indicators in the refined oil products market is carried out through fuzzy mathematical methods, and a system for quantifying influencing factors and big data visualization of key monitoring indicators in the refined oil products market with the fuzzy mathematical background is designed and implemented. The system realizes the functions of flow visualization, attack visualization, target tracking visualization, etc., and optimizes the system from the perspectives of performance and visualization effect. It achieves the display and interaction of multi-dimensional data in space and time with multiple views, angles, and dimensions. Data tagging and data correlation for key aspects of the product production process are realized through fuzzy mathematics and other means, and a quality traceability system for the manufacturing industry is realized on this basis, through which the data of some key stages of the product production process can be displayed retrospectively. The study proves that the business model of refined oil logistics platform based on value network can significantly improve the user’s perceived value and benefit all parties within the value network, realizing the complementary advantages of refined oil production enterprises and logistics platform companies, improving the efficiency of enterprise’s logistics and maximizing the profit of each subject within the value network to achieve profitability for all parties.

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