Abstract:In recent years, logistics companies of different sizes has been considerably developed all over the country, with the intensified competitions. To stand out in the competitive market, a logistics company must improve its logistics situation, focus on the function of distribution center, reduce logistics costs for enhancing the impact of supply chain, and rapidly response to customer needs. Thus, how to better design or optimize the existing distribution route for reducing logistics costs becomes a difficult problem, and this article will do some researches on it.

With the rapid development of modern society, the industrial mechanized production reached unprecedented climax in this era. Science and technology advance increasingly, modern equipment from structure to function tends to be complex and improved, and gradually achieve a high degree of automation. However, due to the inevitable factors such as wear and tear, abrasion and chemicals infection, machinery equipment will inevitably appear unforeseen fault, causing the machine to detract from the performance, or even causing serious economic losses. Therefore, mechanical fault diagnosis can reduce equipment accident rate and ensure the long-term stable operation of the device. And applying the augmented reality to machinery fault diagnosis method research can maximize the efficiency of mechanical fault diagnosis and equipment efficiency. This article explores the prospects for the development of mechanical fault diagnosis methods based on the theoretical basis and application value of augmented reality.