In recent years, with the rapid development of Internet of things industry. In June this year, things the world assembly will be held in China, 2016 is destined to will be networking in China rapid development of a year. Machinery and equipment logistics enterprises will be how to and the world of the Internet of things standards? At present in the IOT of standardized haven't a unified concept, for handling the logistics equipment enterprise, the application of Internet of things still move ahead, there is a lot of new trends in.

　　In 2015 sino-German nnookee forklift attachments began networking in the field of exploration, I hope with more technology and in material handling equipment field, things can really being used up. We believe that in the each link of the Internet of things, big data is most likely to be used up, so we first from the big data applications begin:

　　First, improve the quality of products. Enterprises can be based on a variety of diagnostic data analysis products have no defects, to help research and development departments or quality management departments to enhance product quality.

　　Second, strategic marketing decision. Through the data acquisition and clearly understand the products used around the world, local economic development can come through the data analysis, and by reference to the enterprise marketing decision.

　　Third, auxiliary decision of sales service. Through the use of equipment to analyze current region which models more, how to use, whether to need to add service outlets, often appear what parts of the fault is, whether the need to increase the spare parts inventory, all of these can get help through networking.

　　Fourth, the demand for new product research and development through the analysis of the user's habits, can be used to meet the needs of new product characteristics of the user oriented publicity and recommendation.

　　Equipped with a IOT of Dongfeng,sino-German nnookee forklift attachments in the future independent research and development of establishment of large data storage and analysis platform, through the acquisition of data and analysis of user needs, organize, analyze, and help us to continuously improve the level of R & D service, to win the market.